Published online Oct 26, 2026. doi: 10.4252/wjsc.125689
Revised: September 4, 2026
Accepted: October 13, 2026
Published online: October 26, 2026
Processing time: 104 Days and 22.2 Hours
Organ fibrosis involves extracellular matrix accumulation and dysfunction of int
Core Tip: Fibrosis can involve failed tissue regeneration as well as scar accumulation. This review compares organ-specific evidence for maladaptive repair and fibrotic memory without treating all repair-associated cells as stem cells. Direct memory evidence is separated from persistent abnormalities during ongoing disease. Therapeutic reprogramming requires controlled, durable cellular-state or lineage correction; extracellular matrix normalization, immune and metabolic modulation, cell replacement, and organoid-guided screening remain distinct. The proposed framework prioritizes testable mechanisms, context-dependent reversibility, and safety rather than assuming that preclinical state changes restore human tissue function.
- Citation: Li JP, Chen XY, Wang Q, Du YY, Guo TT, Lin JN, Fu JY, Xie ML, Liu JH, Gao JL, Wang MM, Luo S. Regenerative-system dysfunction in organ fibrosis: Maladaptive regeneration, fibrotic memory, and therapeutic reprogramming. World J Stem Cells 2026; 18(10): 125689
- URL: https://www.wjgnet.com/1948-0210/full/v18/i10/125689.htm
- DOI: https://dx.doi.org/10.4252/wjsc.125689
In idiopathic pulmonary fibrosis (IPF), pirfenidone and nintedanib slowed functional decline in pivotal trials, but those trials did not demonstrate restoration of normal tissue architecture[1,2]. More broadly, fibrosis involves interacting injury, repair, immune, and matrix pathways rather than excessive scar production alone[3]. These limitations motivate exa
During chronic injury, bona fide tissue stem/progenitor populations and injury-responsive differentiated parenchymal cells are continuously exposed to inflammatory mediators, mechanical stress, genomic damage, and metabolic distur
In this review, the term stem/progenitor cell is restricted to populations with experimental evidence of self-renewal and/or injury-responsive lineage reconstitution. Differentiated proximal tubular epithelial cells, mature hepatocytes, cardiomyocytes, fibroblasts, macrophages, mesenchymal stromal cells, and the ECM are not treated as a single stem-cell category; they are described as parenchymal, immune, stromal, or niche compartments. In the adult heart, where a broadly accepted resident cardiac stem-cell population has not been established, the discussion focuses on limited car
This review focuses on three interconnected concepts. Maladaptive regeneration describes injury-associated repair that fails to reconstruct functional tissue. Fibrotic memory is assessed using the operational criteria in “Definition and conceptual boundaries”. Therapeutic reprogramming is used narrowly for controlled, durable correction of a pathological cellular state, identity, or differentiation trajectory; niche or pathway modulation, cell replacement, and organoid mode
Rather than discussing fibrosis as isolated organ-specific diseases, we examine lung, liver, kidney, heart, skin, intestine, and bone marrow fibrosis as representative systems that reveal common principles of regenerative failure. We first discuss fibrosis as a consequence of impaired regeneration, then summarize major mechanisms driving stem/progenitor dysfunction, examine the concept and biological basis of fibrotic memory, compare conserved and organ-specific mech
This narrative review used a structured search to inform conceptual synthesis rather than a systematic review or meta-analysis. PubMed/MEDLINE and Web of Science Core Collection were searched for English-language articles published from January 1, 2000, through June 1, 2026. The core query combined fibrosis-related terms with regeneration- and memory-related terms: (fibrosis OR fibrotic) AND (“stem cell” OR progenitor OR “failed repair” OR “maladaptive regeneration” OR “transitional state” OR senescence OR “epigenetic memory” OR “mechanical memory” OR “trained immunity” OR organoid) AND (lung OR liver OR kidney OR heart OR skin OR intestine OR “bone marrow”). Reference lists were also screened for relevant primary studies and major conceptual reviews.
Eligible reports addressed fibrosis-associated repair, cellular or niche persistence, or a directly relevant experimental method in at least one of the seven organs. Human tissue studies, lineage-resolved experiments, genetic or pharmacological perturbation, injury withdrawal, re-exposure, and reversibility tests were prioritized. Reviews were retained for background and comparison, not as substitutes for primary evidence supporting specific mechanistic grades. Reports lacking a relevant fibrosis or repair endpoint, duplicate reports, and unsupported cross-organ extrapolations were excluded from the evidence tables. Non-English full texts were outside the search scope; untranslated reports were not used to support evidence grades. Preprints and conference abstracts were not used as graded mechanistic evidence; an available peer-reviewed final article was preferred. The seven organs represent epithelial, mechanically stressed, and hematopoietic/stromal repair systems. Selection was purposive rather than exhaustive and may favor well-studied organs, accessible English-language publications, positive findings, and studies fitting the proposed framework. Contradictory and negative findings were therefore explicitly considered, but this does not eliminate selection or publication bias.
Evidence grades in Tables 1, 2, 3 and 4 apply only to the specified organ, model, cell type, and endpoint. Strong denotes convergent direct perturbational or persistence evidence with human support or independent replication; moderate denotes a direct but context-limited experiment, or convergent associations without complete causal testing; emerging denotes descriptive or insufficiently tested evidence for the particular claim. Study directness is stated separately: Lineage tracing establishes origin or fate, whereas causal contribution requires an appropriate perturbation; human association is not human therapeutic efficacy. A strong grade for a mechanism does not establish memory, reversibility, or clinical benefit. Memory grading follows “Definition and conceptual boundaries” and Table 2, with ongoing-injury associations separated from direct persistence tests.
| Module | Relevant compartment | Organ/model and direct evidence | Scoped evidence grade | Therapeutic implication and limit |
| Exhaustion and senescence | ATII cells; differentiated renal epithelia; hepatic stellate cells | Mouse ATII perturbation with human IPF observations; renal G2/M perturbation and post-obstructive senolytic treatment[17,19,20]. Stellate-cell senescence can limit liver fibrosis[22] | Strong for specified epithelial mechanisms; exhaustion is not established by senescence markers alone. Direction differs by cell type | Target harmful states selectively. Depletion is not rejuvenation; a pilot trial does not establish fibrosis reversal |
| Persistent maladaptive repair states | Transitional alveolar cells; proximal tubular cells; hepatic ductular/progenitor-associated cells | Lung transitional-state perturbation; renal stress perturbation; mouse ductular-reaction/Hedgehog experiments[26,27,47] | Strong in selected lung models; moderate, model-specific renal/liver causal support. Human state maps remain associative | Test maturation and functional recovery separately from disappearance of a marker |
| ECM/mechanotransduction | Fibroblasts; ATII cells; extracellular niche | Cultured lung fibroblast stiffness-switch assay; YAP/TAZ perturbation; murine alveolar tension model; human decellularized lung ECM conditioning[13,32-34] | Direct culture memory; strong selected mechanistic effects. Human in vivo memory and whole-organ restoration are unproven | Normalize harmful cues without assuming all ECM is detrimental or that mechanics alone restores tissue |
| Inflammatory conditioning | Macrophages and immune-epithelial niches | Conditioned macrophage/rechallenge-transfer experiments in HClO-induced mouse fibrosis; postviral lung niche perturbation[39,42] | Moderate, direct within named models; conditioning effects vary by endpoint. Macrophage NASH epigenomics is not a withdrawal test[43] | Distinguish harmful training, protective tolerance, and continuing niche stimulation |
| Metabolic/mitochondrial dysfunction | Alveolar and renal epithelia | Mouse/human-associated CD38 epithelial-aging work and renal ferroptotic-stress perturbation[21,47] | Moderate, organ-specific mechanistic support; metabolic-memory erasure remains emerging/unproven | Measure cell fitness and fibrosis separately from durable post-withdrawal state correction |
| Epigenetic stabilization | Systemic-sclerosis dermal fibroblasts; liver macrophages as a contrasting context | TGFB2 enhancer persistence/perturbation in patient-derived fibroblasts; macrophage chromatin remodeling during ongoing steatohepatitis[14,43] | Strong for the specified enhancer mechanism ex vivo; macrophage memory remains inferred. No generalized progenitor-memory grade | Test durable locus- and cell-specific correction; avoid equating altered chromatin with erased memory |
| Cross-organ state convergence | Distinct epithelial, immune, and stromal populations | Lung, human liver, and kidney state/niche analyses; functional experiments apply only to the modules actually tested[8,10,36,37] | Moderate for recurrent associations; emerging for a universal causal sequence | Use shared signatures for target nomination, followed by organ-specific perturbation |
| Layer/carrier | Organ/model and test actually performed | Directness and scoped grade | Reversibility and remaining test |
| Epigenetic/dermal fibroblasts | Systemic-sclerosis fibroblasts: Retained TGFB2 enhancer program and chromatin-directed perturbation[14] | Direct ex vivo; strong for this enhancer mechanism, not for all chromatin signatures | Molecular program is perturbable in the assay; durable human tissue reversal is not established |
| Mechanical/fibroblasts | Cultured lung myofibroblasts transferred from stiff to soft substrates[13] | Direct culture persistence; moderate for generalization beyond the model | Retention depends on exposure history and assay conditions. Clinical memory erasure is untested |
| Inflammatory/macrophages | Conditioning, subsequent challenge, and transfer in an HClO-induced mouse fibrosis model[39] | Direct, model-specific response modulation; moderate. BCG and low-dose LPS have different effects | Fibrosis-modifying responses are demonstrated; durable normalization of human immune states is not |
| Niche/ECM | Human decellularized IPF matrix conditions cultured fibroblasts; postviral mouse lung immune-epithelial niche is functionally perturbed[34,42] | Direct niche instruction/persistence in these settings; moderate. Continued niche exposure is not cell-autonomous memory | Require removal of residual stimuli, cross-transfer controls, and durable functional follow-up to establish autonomous retention |
| Metabolic/epithelial cells | Renal metabolic-state and ferroptotic-stress studies demonstrate injury-associated dysfunction, not the full withdrawal-retention-reversal sequence[46,47] | Inferred; emerging for metabolic memory | Direct metabolic-memory erasure is unproven; test after stress and treatment withdrawal |
| Epithelial state/renal or alveolar cells | Senescent renal epithelia persist after relief of obstruction; senolytic treatment improves fibrosis without epithelial-specific targeting[20]. KRT8-associated lung states are a distinct context[8,25] | Direct, moderate evidence for the post-obstructive senescent-state example; KRT8 cell-autonomous memory remains inferred | Depletion is not reprogramming of surviving cells. Durable maturation and organ recovery require separate demonstration |
| Stromal activation state/hepatic stellate cells | Lineage-traced stellate cells deactivate after experimental liver-injury withdrawal but retain enhanced reactivation potential[52] | Direct, moderate evidence for sensitized activation-state memory; its epigenetic mechanism is not established by this experiment alone | Partial deactivation is demonstrated; complete return to a naive state or durable therapeutic memory erasure is not |
| Organ/context and compartment | Mechanism: Model and evidence grade | Memory: Directness and boundary | Reversibility/translational limit |
| Lung/IPF and postviral injury. ATII and airway progenitors; fibroblasts and immune niche are separate | Strong in selected mouse ATII-senescence, transitional-state, and mechanical-tension experiments; human observations support relevance[17,27,33] | Direct cultured fibroblast mechanical retention[13]. Postviral niche persistence is distinct from cell-autonomous epithelial memory[42] | Preclinical effects are context-specific; the open-label senolytic pilot establishes feasibility, not antifibrotic efficacy[23] |
| Kidney/AKI-CKD. Differentiated proximal tubular epithelia | Direct G2/M and ferroptotic-stress perturbation in mouse injury models; strong/moderate within those mechanisms. Human failed-repair signatures are associative[9,19,47] | Direct, moderate post-obstructive persistence and senolytic-response evidence, not epithelial-specific ablation[20]; not every failed-repair signature meets memory criteria | Partial experimental benefit does not establish full renal reconstruction or reprogramming of surviving cells |
| Liver/steatohepatitis, cirrhosis, and experimental regression. Hepatocytes, ductular/progenitor-associated cells, macrophages, stellate cells | Moderate direct ductular/Hedgehog mechanism in mouse models; human cirrhotic niche interactions add distinct evidence[10,26] | Macrophage epigenetic adaptation during ongoing disease is inferred memory[43]. Direct sensitized stellate-cell reactivation follows experimental regression[52] | Partial stromal inactivation differs from memory erasure. Arid1a deletion supports murine fibrosis reduction/regression, not human efficacy[63] |
| Intestine/fibrostricturing Crohn’s disease. Crypt stem cells and fibroblasts are distinct | Moderate direct cadherin-11 fibroblast evidence from patient-derived cells and experimental colitis fibrosis[56] | Emerging/unproven for stem-cell memory or an autonomous epithelial cause of fibrostenosis | Stromal pathway modification is not demonstrated restoration of crypt function or established stricture reversal |
| Heart/early injury vs established scar. Cardiomyocytes and resident fibroblast lineages | Strong direct lineage/ablation evidence for periostin-positive myofibroblast contribution to mouse scar and necessary acute healing[57] | Post-injury deactivation is observed; retained pathogenic responsiveness and therapeutic memory erasure are not established by that observation alone[57] | Experimental cardiac lineage conversion[58] and negative chronic-scar cell therapy[7] address different stages; neither establishes human scar reversal |
| Skin/experimental scarring and systemic sclerosis. Dermal fibroblast and adiponectin-marked lineages | Strong lineage/functional support for selected dermal populations; lineage origin alone does not establish every population’s necessity[59,60] | Direct ex vivo TGFB2 enhancer-memory evidence in systemic-sclerosis fibroblasts[14]; not all progenitors | Enhancer perturbability and lineage plasticity do not establish complete or safe human tissue reversal |
| Bone marrow/myelofibrosis models. Hematopoietic progenitors interact with distinct stromal populations | Strong Gli1 lineage/ablation evidence in ThPO/JAK2-associated models; LepR/PDGFRα evidence in a separate marrow model; supportive human findings[11,61] | Emerging/inferred memory: These studies do not perform a definitive retained-state withdrawal/rechallenge test | Preclinical stromal targeting does not establish durable human memory erasure; Gli1 and LepR labels are not assumed equivalent |
| Approach/category | Organ, model, and target | Directly supported effect/evidence stage | What is not established/main limitation |
| Progenitor-state rejuvenation/reprogramming only if durable and controlled | Partial-reprogramming experiments in aging/progeroid mice and tissue-repair settings[53] | Preclinical improvement in selected age-associated cellular and tissue phenotypes | Not a general fibrosis trial, a validated memory-erasure assay, or established human progenitor rejuvenation |
| Epigenetic state correction/candidate direct reprogramming | Systemic-sclerosis dermal fibroblast enhancer perturbation[14]; Arid1a deletion in murine liver-fibrosis/regression models[63] | Direct locus-level mechanism ex vivo; preclinical liver-fibrosis reduction, including intervention after injury cessation | No established human antifibrotic efficacy or complete memory erasure; delivery, identity stability, and oncogenic risk require separate testing |
| Direct lineage conversion/reprogramming | Murine cardiac fibroblasts converted toward induced cardiomyocytes after injury[58] | Animal proof of lineage conversion and selected functional effects | Not reversal of established chronic human scar; efficiency, maturation, integration, and lineage control remain limiting |
| Senomorphics/state modulation; senolytics/cell depletion | Mouse pulmonary fibrosis, post-obstructive renal senescence, and an open-label human IPF pilot[15,20,23] | Preclinical benefit in specified endpoints; human pilot feasibility | Senolysis is not reprogramming; pilot data do not establish antifibrotic efficacy. Beneficial senescent states may be lost |
| ECM/mechanotransduction modulation/niche intervention | Cultured lung fibroblast stiffness-switch and YAP/TAZ perturbation models[13,32] | Direct effects on mechanical retention or activation in the particular assay; primarily preclinical | Matrix instruction is not cell-intrinsic memory; clinical restoration and optimal timing are unproven |
| Immune-state modulation/complementary unless durable resetting is shown | Macrophage conditioning in mouse systemic-sclerosis-like fibrosis[39]; IL-22 liver progenitor studies[64] | Conditioning changes selected fibrosis outcomes; IL-22 promotes progenitor expansion experimentally, with human associations | Opposing conditioning effects; IL-22 proliferation is not demonstrated fibrosis reversal. Infection and impaired repair require assessment |
| Metabolic correction/state modulation | CD38-related alveolar aging and renal ferroptotic-stress models[21,47] | Direct preclinical modification of specified stress/repair pathways and fibrosis-associated outcomes | No complete withdrawal-based metabolic-memory erasure; systemic and cell-specific effects need evaluation |
| Cell replacement/separate regenerative strategy | Tested cell products in chronically scarred rodent hearts[7] | Negative primary evidence: No rejuvenation in that chronic-scar setting | No class-wide efficacy inference; engraftment, maturation, host response, and disease stage must be tested for each product |
| Organoid-guided screening/research platform, not itself therapy | Human pluripotent-stem-cell-derived nephron organoids and expandable adult liver cultures[50,51] | Direct platform evidence for development/injury modeling and culture-based experimentation | Memory washout/rechallenge protocols are a proposed extension here; no direct patient effect from screening alone. Incomplete niche and model fidelity remain limitations |
Regenerative-system dysfunction: Failure of coordinated repair involving distinct stem/progenitor, differentiated parenchymal, immune, stromal, and extracellular-niche compartments; an integrative framework, not a single cell identity.
Maladaptive regeneration: An injury-associated repair response that fails to complete functional tissue restoration and can sustain pathological remodeling.
Fibrotic memory: A retained fibrosis-relevant state meeting the operational criteria in “Definition and conceptual boundaries” and Table 2; not a synonym for ongoing chronic disease.
Direct reprogramming: Controlled alteration of cellular identity or a durable intrinsic state; direct lineage conversion changes identity without an intended pluripotent intermediate.
State modulation: Modification of cellular activity or responsiveness without demonstrated durable identity correction; senolysis is cell depletion, not state reprogramming.
Niche modulation: Modification of ECM, mechanics, or intercellular signals without necessarily changing the intrinsic identity of resident cells.
Successful tissue repair requires a coordinated sequence of stem and progenitor cell activation, proliferation, lineage commitment, and niche-guided maturation. In acute injury, transient scar formation may provide structural support while regenerative programs restore tissue integrity. However, under persistent or repetitive injury conditions, this tightly regulated process becomes progressively disrupted[3,4].
Chronic exposure to DNA damage, oxidative stress, inflammatory cytokines, altered mechanical forces, and metabolic imbalance continuously activates injury-response pathways in regenerative cells. Instead of progressing toward tissue restoration, these cells may remain trapped in persistent wound-associated states. Thus, maladaptive regeneration does not represent a simple failure of repair; rather, it reflects an abnormal repair process in which injury-responsive cellular programs remain activated without successfully rebuilding normal tissue architecture[3,4]. This concept offers a possible explanation for continued fibrosis after the initial trigger has been reduced. Whether repair-associated states become autonomous or remain dependent on residual injury and niche signals must, however, be tested rather than assumed[4].
Stem and progenitor cell dysfunction has traditionally been interpreted as a secondary consequence of an already established fibrotic environment. However, emerging evidence suggests that dysfunctional regenerative cells may actively contribute to fibrosis progression[4,8,9]. Under chronic stress conditions, regenerative cells can promote fibrosis through several mechanisms, including secretion of inflammatory mediators, failure to complete appropriate differentiation programs, abnormal communication with fibroblasts and immune cells, and remodeling of the extracellular niche[3,5]. Epithelial failed-repair states are well characterized in alveolar and renal tubular systems[8,9]. Human liver niche analyses, marrow stromal perturbation studies, and the intestinal fibrosis literature illustrate distinct parenchymal, stromal, and immune contributions[10-12]. These examples should not be interpreted as equivalent evidence for stem-cell-driven fibrosis in every organ. Therefore, fibrosis may not simply occur when repair fails to proceed. In some circumstances, fibrosis may represent the consequence of repair continuing in an abnormal and unresolved cellular state[4].
Individual components of the injury-repair sequence are not new: Chronic injury can impair regenerative cells; unresolved repair can activate fibroblasts and remodel the niche; and persistent chromatin or mechanical states can maintain profibrotic behavior[3-5,13,14]. The contribution of the present review is the cross-organ integration of these components and the explicit separation of evidence-supported modules from proposed connections. We therefore do not present the entire sequence as a single universally established mechanism.
We synthesize a context-dependent sequence: Chronic or repetitive injury → regenerative-system stress → persistent maladaptive repair → failed restoration and niche remodeling → fibrosis. Fibrotic memory is proposed as a persistence layer that can stabilize particular cellular or niche states after substantial stimulus reduction. Failed repair alone does not establish such memory. In Figure 1, solid arrows identify locally supported interactions, whereas dashed arrows identify proposed cross-organ connections or incompletely validated memory feedback. These modules are not a universally established causal chain. Interventions directed at repair dysfunction or pathological persistence may complement antifibrotic therapy, but their effects require organ-specific testing[3,4] (Figure 1).
Stem/progenitor cell exhaustion and cellular senescence represent two related but distinct forms of regenerative impairment. Exhausted progenitor cells exhibit reduced proliferative potential and impaired differentiation capacity after prolonged stress exposure, whereas senescent cells undergo relatively stable cell-cycle arrest while maintaining active transcriptional programs[5,15,16].
In lung models, alveolar type II (ATII) cell senescence and age-associated progenitor dysfunction can impair epithelial renewal and promote fibrosis[17,18]. In kidney injury models, proximal tubular G2/M arrest contributes causally to profibrotic signaling[9,19]. Senescent renal epithelia can also persist after relief of obstruction, and senolytic treatment reduces fibrosis in that setting, although the drug intervention is not epithelial-specific[20]. These findings support par
CD38-dependent alveolar epithelial aging provides an additional lung-specific link between metabolic dysfunction and fibrosis[21]. The direction of senescence effects nevertheless differs by compartment: Senescence of activated hepatic stellate cells limits experimental liver fibrosis and facilitates its resolution[22]. Thus, epithelial senescence associated with failed repair should not be equated with the transient senescence of fibrogenic stromal cells that restricts scarring. Timing and cell identity are essential to interpreting apparently conflicting findings. From a therapeutic perspective, senescence-prone regenerative states represent attractive targets, although selective intervention remains challenging because sen
Effective regeneration requires appropriate lineage progression, but chronic injury can arrest injury-responsive cells in persistent transitional or failed-repair states. We use the term impaired lineage progression rather than lineage infidelity unless direct fate-mapping demonstrates adoption of an inappropriate lineage[4,8,9].
Keratin 8 (KRT8)-positive transitional alveolar states normally participate in ATII-to-ATI differentiation but may persist in fibrotic lungs[8,25]. Proximal tubular epithelial cells can adopt inflammatory failed-repair states[9], whereas progenitor-associated ductular reactions can promote stromal signaling in experimental liver injury[26]. These are different repair contexts; proximal tubular cells are injury-responsive differentiated parenchymal cells, not a bona fide stem-cell population. These states should not be interpreted as direct epithelial-to-fibroblast conversion without lineage-tracing evidence. Their fibrogenic contribution is more plausibly mediated by prolonged inflammatory and stromal sig
State identification alone remains descriptive. Lineage tracing resolves ancestry, while targeted perturbation tests functional contribution[28,29]. In the lung, regulated Notch and interleukin (IL)-1β signaling can support airway pro
Stem and progenitor cell activity is fundamentally dependent on a supportive tissue niche. Fibrosis progressively dis
Mechanical signaling provides distinct kinds of evidence. Cultured lung myofibroblasts can retain activated behavior after transfer from stiff to soft substrates, directly supporting mechanical memory within that assay[13]. Yes-associated protein/transcriptional coactivator with PDZ-binding motif (YAP/TAZ) perturbation establishes a role in fibroblast mechanosignaling[32], and increased tension on alveolar stem cells promotes experimental lung fibrosis[33]. The latter studies support mechanistic effects, but do not by themselves establish retained memory after withdrawal.
Decellularized human fibrotic lung matrix can drive profibrotic behavior in cultured fibroblasts, directly demon
Niche effects also include cellular signals: Basal-cell-derived WNT7A promotes fibroblast activation in experimental studies of the IPF niche[38]. Together, these findings support testing both matrix and cell-cell interactions. They do not establish that matrix normalization alone restores regenerative competence, or that every matrix component is detri
Inflammation is an essential component of normal tissue repair. However, fibrosis frequently develops when inflammatory responses fail to transition from injury containment toward regenerative resolution[3,39,40]. Previous inflammatory exposure can alter subsequent responsiveness. Conditioning and transfer experiments in a mouse systemic-sclerosis-like fibrosis model provide direct evidence for fibrosis-modifying trained or tolerized macrophage responses[39]. Separately, severe acute respiratory syndrome coronavirus 2-associated paracrine senescence can sustain inflammatory signaling, but this is not by itself an operational demonstration of fibrotic memory[41].
After viral pneumonia, persistent immune-epithelial niche interactions can impede resolution of abnormal lung repair[42]. During ongoing diet-induced steatohepatitis, macrophages undergo niche-specific epigenetic remodeling[43]; this demonstrates disease-associated state adaptation, not memory after diet withdrawal or fibrotic-memory erasure. In bone marrow, Gli1-positive stromal cells respond to inflammatory niche signals and contribute causally to experimental fib
Direction and autonomy also matter. In the same fibrosis-conditioning study, Bacillus Calmette-Guérin (BCG) training aggravated selected fibrotic outcomes whereas low-dose lipopolysaccharide conditioning attenuated them[39]. In aging-lung experiments, macrophage responses were strongly shaped by the recipient microenvironment[44]. These results argue against assuming that all persistent immune phenotypes are cell-autonomous or profibrotic, and favor selective modulation over indiscriminate inflammatory suppression.
Metabolic adaptation is increasingly recognized as an important component of fibrotic remodeling. Fibrotic tissues commonly exhibit mitochondrial dysfunction, altered lipid metabolism, increased glycolytic activity, and disturbed redox homeostasis[3,45]. In renal injury models, adaptive and fibrotic repair trajectories differ in metabolic pathway activity[46], and ferroptotic stress promotes pro-inflammatory proximal tubular states with functional evidence from experimental perturbation[47]. These findings support a role for metabolic stress in maladaptive repair; they do not demonstrate metabolic memory after stress withdrawal. However, the causal relationship between metabolic dysfunction and fibrosis remains incompletely defined. Metabolic changes may represent both consequences of chronic injury and active mechanisms that stabilize pathological cellular states[45]. Despite these uncertainties, metabolic pathways remain attractive therapeutic targets because they are potentially pharmacologically modifiable and may provide opportunities to improve cellular fitness without directly manipulating cell identity[45].
Single-cell and spatial approaches identify injury-associated epithelial states, stromal subsets, and fibrotic niches across organs[8,10,36,37]. The atlas component is associative; where these studies include lineage analysis or functional perturbation, stronger inference applies only to the tested population or interaction, not to every inferred communication network. For example, multiomic modeling with functional follow-up nominates NFAT5 as a regulator of proximal tubular failed-repair programs[48]. Accordingly, we distinguish cell-state discovery, lineage assignment, and causal perturbation[28,29]. Organoids and related culture systems provide experimentally tractable models, but their existence does not establish therapeutic efficacy or a validated memory assay[49-51] (Table 1).
In this review, fibrotic memory denotes a retained fibrosis-promoting or fibrosis-sensitizing cellular or niche state that outlasts the expected acute response to the initiating exposure. Operational assessment requires documentation of the antecedent exposure, an appropriate resolution interval, and separation from continuing injury. Direct evidence may comprise: (1) Persistence after substantial stimulus reduction or withdrawal; (2) An altered response to re-exposure following a defined recovery or rest period; or (3) Selective perturbation of an already retained state that changes later fibrotic behavior. A perturbation performed only during continuing injury establishes pathway involvement, not memory. Residual injury and ongoing niche stimulation must be excluded or explicitly accounted for; matrix-conditioned behavior while cells remain on diseased ECM does not establish cell-autonomous memory. Findings observed only during ongoing chronic disease are classified as persistent disease states or inferred memory. Directness and strength are assessed separately, as summarized in Tables 2 and 3; the terms epigenetic, mechanical, inflammatory, and metabolic specify candidate mechanisms rather than interchangeable proof of memory[13,14,39].
Candidate carriers include stromal cells, selected epithelial states, conditioned immune cells, and retained extracellular niches. Direct support differs substantially among these compartments[13,14,20,39]. They should therefore be evaluated by the operational tests above rather than grouped solely because they remain abnormal.
Stromal examples include cultured lung fibroblast mechanical memory and retained enhancer activity in systemic-sclerosis fibroblasts[13,14]. In experimental liver-fibrosis regression, lineage-traced hepatic stellate cells can enter an inactive but sensitized state and reactivate more readily on subsequent stimulation[52]. This supports activation-state memory, but does not by itself identify the responsible epigenetic mechanism.
Epithelial evidence is not uniformly indirect. Post-obstructive renal epithelial senescence has withdrawal-associated persistence and senolytic-response support, although the intervention is not epithelial-specific[20], whereas many KRT8-associated lung states are identified during persistent disease and lack equivalent cell-autonomous memory tests[8,25]. A postviral immune-epithelial niche can remain pathological after infection, but this does not establish that epithelial cells retain the state independently of immune signals[42].
Memory formation is therefore context-dependent and must be distinguished from persistent stimulation within an abnormal niche. A retained cellular state, a maintained extracellular environment, and their reciprocal interaction are experimentally separable explanations.
Selected stromal models provide direct epigenetic evidence. Systemic-sclerosis dermal fibroblasts show persistent activation of a transforming growth factor beta 2 (TGFB2) enhancer, with mechanistic evidence from chromatin-directed perturbation[14]. This is a defined ex vivo fibroblast context, not proof that all fibrosis-associated chromatin changes encode durable memory. By contrast, niche-specific macrophage epigenetic remodeling in diet-induced steatohepatitis was characterized during disease[43]. Without comparable withdrawal, rest/rechallenge, or retained-state perturbation experiments, it supports disease-associated remodeling rather than direct inflammatory or epigenetic fibrotic memory. Accordingly, strong mechanistic support for a particular enhancer program should not be extended to macrophages or regenerative progenitors merely because their chromatin profiles differ in fibrosis. The latter populations require their own persistence and functional tests[14,43]. Although epigenetic interventions offer the possibility of directly modifying pathological cellular states, their therapeutic application remains challenging because restoring normal identity without inducing unwanted plasticity requires precise control[53,54].
Inflammatory memory is best assessed through conditioning, a defined interval, and subsequent challenge or transfer, rather than persistent inflammatory gene expression alone[39]. In a hypochlorous acid-induced systemic-sclerosis-like mouse model, BCG training and low-dose lipopolysaccharide conditioning produced different macrophage response programs and opposing effects on selected skin and lung fibrotic outcomes[39]. This is direct, fibrosis-relevant evidence within a specific conditioning model, not a broadly validated mechanism across organs or patients. The effects were endpoint-dependent and should not be represented as uniform improvement or worsening of every fibrosis measure. The contrasting conditioning effects support testing which immune states are harmful, protective, or niche-dependent before attempting durable immune-state correction[39,44].
Cultured lung myofibroblasts can retain activation after transfer from a stiff to a soft substrate, providing direct mechanical-memory evidence within an experimentally controlled system[13]. YAP/TAZ-dependent mechanosignaling contributes to fibroblast activation, but pathway activation or inhibition alone is not equivalent to a withdrawal-based memory test[32].
ECM effects are not uniformly pathological. Increased mechanical tension on alveolar stem cells promotes experimental pulmonary fibrosis[33], whereas hyaluronan-Toll-like receptor 4 signaling supports surfactant-protein-C-positive alveolar progenitor renewal and protects against severe fibrosis in mice[55]. Decellularized fibrotic ECM also instructs fibroblast behavior[34]. These findings distinguish harmful mechanical or compositional changes from protective matrix signals; none alone demonstrates cell-autonomous epithelial memory.
Direct evidence for mechanical retention is strongest in controlled culture-transfer experiments; diseased-matrix experiments establish niche instruction rather than quantitative human in vivo memory[13,34]. Combined matrix and cellular interventions are therefore a testable strategy, not an established requirement for restoring function.
Metabolic and mitochondrial abnormalities can accompany persistent repair defects and interact with other regulatory programs, but this provides a rationale for a metabolic-memory hypothesis rather than its demonstration[45-47]. A direct test would require persistence after metabolic-stressor withdrawal and selective correction of the retained state with an effect on later fibrotic behavior. The cited renal stress and repair studies do not establish this sequence, so durable metabolic-memory erasure remains unproven in these examples[46,47].
The strongest direct memory evidence is context-specific: Cultured fibroblast mechanical retention, a selected systemic-sclerosis enhancer program, and sensitized hepatic stellate cells after fibrosis regression[13,14,52]. Conditioned macrophage responses and post-obstructive renal epithelial senescence provide additional model-specific functional evidence[20,39]. Most claims about cell-autonomous KRT8-state memory or metabolic-memory erasure require further testing; retained postviral niche signaling should be distinguished from autonomous epithelial memory[8,42,47]. These distinctions, including direct vs inferred evidence and the degree of reversibility, are summarized in Table 2.
Several important questions remain unanswered: (1) Are different memory layers sequential events or parallel processes? (2) Which cell populations dominate memory formation in different organs? (3) Can pathological memory be selectively erased without impairing tissue identity? and (4) Is memory reversal required for functional regeneration, or is partial attenuation sufficient? Addressing these questions will be essential for converting a persistence framework into measurable therapeutic targets, rather than treating a descriptive signature as proof of reversibility[3,5].
Lung: ATII cells and airway progenitors participate in epithelial repair. ATII senescence, persistent transitional-state signaling, and excessive mechanical tension have functional support in mouse fibrosis models with complementary human observations[17,27,33]. Direct mechanical memory is demonstrated in cultured fibroblasts[13]. Persistent postviral immune-epithelial niche signaling represents a different mechanism and does not establish cell-autonomous epithelial memory[42]. Preclinical state correction and the feasibility of an early senolytic pilot must not be equated with reversal of chronic human fibrosis[23].
Kidney: Proximal tubular epithelial cells are differentiated injury-responsive cells. Perturbational studies support roles for G2/M arrest and ferroptotic stress in maladaptive repair[19,47], whereas human transcriptomic signatures establish association and biomarker potential[9]. Renal epithelial senescence after relief of obstruction provides a selected persistence example with a senolytic treatment response, not epithelial-specific ablation evidence[20]. This exception should not be generalized to every failed-repair state or interpreted as complete restoration of renal function.
Liver: Mature hepatocytes are principal parenchymal regenerative cells, while ductular/progenitor responses are context-dependent. Experimental progenitor-associated ductular reactions can promote Hedgehog-mediated stromal signaling[26]; human cirrhotic-niche data provide complementary interaction evidence[10]. Macrophage epigenetic changes during steatohepatitis do not independently prove post-withdrawal memory[43]. In contrast, lineage-traced hepatic stellate cells can retain enhanced reactivation potential after fibrosis regression[52]. Thus, partial stromal inactivation, complete memory erasure, and hepatocyte regeneration are distinct outcomes.
Intestine: Crypt stem cells function within an inflammatory and stromal niche, but direct evidence that their retained state causes fibrostenosis is limited. In fibrostricturing Crohn’s disease, patient-derived fibroblasts and experimental colitis models support a functional role for cadherin-11 in fibrogenic remodeling[56]. This is stromal evidence, not a direct intestinal stem-cell or fibrotic-memory test.
Heart: Adult repair involves limited cardiomyocyte renewal and fibroblast-lineage responses rather than an assumed universal resident cardiac stem-cell population[6]. Lineage tracing and ablation demonstrate that periostin-positive myofibroblasts contribute to scar formation and are required for adaptive healing after myocardial infarction; some cells become less activated after injury cessation[57]. Fibroblast-to-cardiomyocyte conversion is experimental[58], and tested cell therapies did not rejuvenate chronically scarred rodent hearts[7]. These findings distinguish early repair from esta
Skin: Lineage-resolved studies identify intrinsically fibrogenic dermal populations and adiponectin-lineage contributions to myofibroblasts in selected mouse models[59,60]. These findings should not be generalized to all epidermal or adipocyte progenitors. A TGFB2 enhancer program in systemic-sclerosis fibroblasts supplies a distinct, direct ex vivo epigenetic-memory example[14]. Molecular reversibility in this assay does not establish complete reversal of human skin fibrosis.
Bone marrow: Hematopoietic stem/progenitor cells interact with fibrosis-driving stromal populations. Gli1-lineage tracing and ablation in thrombopoietin- and JAK2-associated models establish a causal stromal contribution, with supportive human observations[11]. A separate study identifies leptin-receptor-expressing stromal cells and platelet-derived growth factor receptor α signaling in experimental myelofibrosis[61]. These marrow studies do not establish post-withdrawal stromal memory or equivalent behavior of all Gli1- and leptin-receptor-marked populations.
Across organs, conserved processes include persistent injury-response states, fibroblast activation, ECM remodeling, and disrupted communication among regenerative, immune, and stromal compartments[3,5]. These shared processes support comparative analysis but do not imply that one cellular lineage or one causal sequence operates identically in every organ.
The principal repair compartment and evidentiary basis differ: Epithelial-state dysfunction is functionally supported in selected lung and kidney models[17,19,27,47], while stromal contributions are directly supported in skin and bone marrow[11,59,61]. Human liver niche maps and intestinal fibroblast experiments address different levels of mechanism[10,56]. The framework is therefore a scaffold for organ-specific hypotheses, not evidence for one conserved lineage or a uniform causal sequence.
Cross-organ comparison supports selection of targets by pathological cellular state, but any intervention must be matched to organ-specific cell identity, evidence grade, and reversibility[3,5]. “Therapeutic reprogramming and complementary regenerative strategies” therefore distinguishes direct cellular reprogramming from complementary niche or pathway modulation, cell replacement, and experimental platforms. This classification avoids treating every intervention that inf
The pivotal pirfenidone and nintedanib trials in IPF established slowing of functional decline, not reconstruction of normal tissue architecture[1,2]. This distinction motivates investigation of repair-directed approaches alongside established antifibrotic mechanisms[3]. If fibrosis persistence results from both maladaptive regeneration and retained pathological memory, then reducing scar formation alone may leave the underlying regenerative system dysfunctional[3,4]. A broader research objective is to test whether correction of dysfunctional cellular states, pathological niches, and intercompartmental communication improves durable tissue repair[3,4]. Figure 2 presents these outcomes as conditional experimental goals, not established effects of the illustrated approaches.
Progenitor-state rejuvenation aims to restore proliferative and differentiation competence within viable regenerative cells. Senomorphic approaches modulate senescence-associated signaling and may qualify as state modulation when effects are durable; senolytics eliminate selected cells and should be described as cell depletion rather than reprogramming[15,23,62]. Early clinical investigation of senolytics in IPF established feasibility but did not establish antifibrotic efficacy. Experimental studies support selective targeting of senescent or exhaustion-prone states in selected models[15,23,24]. Selected models support improvement in particular repair-associated phenotypes, but the IPF pilot did not establish durable correction of fibrotic memory[15,23]. The post-obstructive kidney example demonstrates that depletion can improve fibrosis after injury relief, not that surviving cells have been reprogrammed or that memory has been completely erased[20]. Major limitations include the heterogeneity of senescent states and the possibility that indiscriminate elimination of senescent cells may interfere with physiological repair processes[15]. Potential risks and clinical uncertainties depend on the targeted senescent population, intervention, and exposure schedule; they should not be inferred indiscriminately from the tumor risks of lineage reprogramming[62].
A demonstrated retained regulatory program provides a more direct target than a chromatin signature observed only during ongoing disease. The TGFB2 enhancer study is a specific example of such mechanistic targeting in systemic-sclerosis fibroblasts[14]. Potential approaches include enhancer-directed regulation, partial cellular reprogramming, and direct lineage conversion. Importantly, Arid1a suppression was tested in murine liver-fibrosis models: Genetic deletion reduced fibrosis, including in an experiment initiated after cessation of chronic CCl4 injury[63]. This is preclinical liver-fibrosis evidence, not merely a regeneration proof of principle; it does not establish human efficacy or operational me
If the extracellular niche actively regulates regenerative behavior, restoring niche integrity is an important complementary therapeutic objective rather than direct cellular reprogramming[13,32]. Potential strategies include ECM normalization, inhibition of pathological crosslinking, modulation of integrin or YAP/TAZ mechanotransduction, and correction of activated fibroblast states[13,32]. Mechanical-memory experiments justify testing whether changing pathological matrix signals improves the durability of a cellular response[13]. Conversely, the failure of tested cell therapies in chro
Immune intervention should not simply suppress inflammation but should restore the transition from injury containment toward regenerative resolution. It should be termed immune-state reprogramming only when a durable change in cellular responsiveness is demonstrated[3,39]. Candidate strategies include altering conditioning-dependent macrophage responses and correcting pathological cytokine environments. The opposing effects of trained and tolerized responses argue for state- and disease-specific testing rather than routine suppression of a presumed common immune-memory program[39]. IL-22 promoted liver stem/progenitor-cell proliferation in experimental models, with supportive associations in samples from patients with chronic hepatitis B[64]. This finding supports progenitor expansion, not an established antifibrotic treatment in those patients; effects on fibrosis regression or memory remain unproven. However, immune regulation remains highly context-dependent. The same inflammatory pathways may contribute to both pathological fibrosis and beneficial regeneration[3,39]. Targeted immune-state modulation should therefore be distinguished from durable immune reprogramming and evaluated for both pathological and beneficial effects on repair[39].
Metabolic interventions aim to restore cellular energy balance, mitochondrial function, and redox homeostasis. They should be considered reprogramming only if they produce a durable correction of pathological cell state rather than transient pathway inhibition[45]. Metabolic correction can influence cellular fitness without changing lineage identity. Lung CD38 and renal ferroptotic-stress studies provide organ-specific mechanistic examples[21,47]; they do not show that metabolism alone accounts for, or erases, retained fibrotic information. The cited intervention evidence is primarily preclinical and endpoint-specific. Changes in epithelial aging, stress responses, or fibrosis during treatment should be separated from durable correction after treatment withdrawal[21,46,47]. Important challenges include identifying reliable biomarkers and ensuring that systemic metabolic effects do not interfere with tissue-specific regenerative processes[45].
Organoids are primarily platforms for modeling development, injury, and patient-derived cellular behavior. Human nephron organoids and expandable liver cultures illustrate these capabilities[49-51]. An organoid model is not itself a treatment; transplantation of a derived product would require a separate therapeutic evidence and safety assessment. An extension proposed here is to add controlled injury, washout, recovery, and re-exposure to such platforms, with persistent-state and functional readouts. The cited organoid studies establish platform feasibility, not validation of this complete fibrosis-memory assay[50,51]. Cell replacement supplies new cells rather than correcting the state of resident cells. Benefit must be demonstrated for the specified product, organ, and disease stage; tested cardiac cell therapies failed to rejuvenate chronically scarred rodent hearts[7]. Engraftment or cell survival alone should not be treated as evidence of tissue reconstruction. The possibility that unresolved niche dysfunction limits replacement is a research hypothesis, not proof that combining replacement with memory-directed treatment will restore tissue function.
The biological plasticity that makes therapeutic reprogramming attractive also creates substantial risks[53,54]. Partial reprogramming improved selected age-associated phenotypes in experimental models[53], whereas in vivo pluripotency-factor reprogramming produced teratomas in another study[54]. These protocols are not interchangeable: The latter demonstrates a safety hazard of excessive identity destabilization, not that every partial-reprogramming protocol has the same risk. Senolysis and immune modulation require distinct assessments of cell loss, repair competence, and host defense[39,62]. Lineage-changing or cell-product approaches additionally require assessment of product heterogeneity, maturation, ectopic growth, and tissue integration; platform establishment alone cannot resolve these safety questions[49,54]. Future direct reprogramming strategies should prioritize controlled, reversible, and tissue-specific correction of pathological states. Complementary modulation, cell replacement, and research platforms should be evaluated using their own evidence and safety criteria[53,54] (Table 4).
A major unresolved issue in the field is whether stem/progenitor cell dysfunction represents an initiating event in fibrosis or primarily reflects adaptation to an already established pathological niche[3,4]. The available evidence suggests that both possibilities may occur depending on tissue context, injury type, and disease stage. In some settings, intrinsic defects in regenerative populations may predispose tissues to maladaptive repair. In others, ECM remodeling, inflammation, or stromal activation may occur first and subsequently impair regenerative capacity[3,4]. Resolving this causal relationship requires experimental systems capable of capturing disease progression over time. Longitudinal lineage tracing, inducible genetic models, repeated-injury systems, and human-based platforms will be essential to determine temporal relationships between regenerative dysfunction and fibrotic remodeling[28,29,49].
Quantification should distinguish the strength and duration of retained states from the severity of ongoing injury, rather than repeat the operational definition in “Definition and conceptual boundaries”. Candidate readouts include retained enhancer activity[14], post-transfer mechanical responses[13], altered conditioned immune responsiveness[39], and spatially organized disease niches[10,36]. Spatial transcriptomics and its subsequent methodological development can localize these features[65,66], but spatial persistence alone does not establish causal memory or distinguish cell-intrinsic retention from continuing niche stimulation. Rather than treating fibrotic memory as a single binary phenomenon, these components should be measured independently and integrated into a multidimensional framework[13,14]. Establishing reliable biomarkers of memory burden will be essential for evaluating whether therapeutic interventions truly erase pathological states or merely reduce their downstream consequences[13,14].
Cell and niche maps nominate candidate states, while functional inference depends on the specific perturbation performed. Human liver and kidney studies may combine mapping with functional experiments, but not every inferred interaction is thereby causally validated[10,36]. Priority experiments include longitudinal lineage tracing, inducible genetic or pharmacological perturbation, stimulus withdrawal and re-exposure, repeated-injury organoids or tubuloids, and transfer of cells between normal and diseased ECM environments. These designs distinguish association, causality, memory, and reversibility[13,28,29,49,50].
Human-derived organoids, ex vivo tissues, and spatial assays should complement animal models and incorporate immune interactions, mechanical cues, and longitudinal measurements where feasible[49,65]. In vitro stiffness-switch assays control exposure but simplify the niche; ex vivo samples retain disease features but have limited longevity and may retain residual stimuli. Acute or self-resolving animal injury differs from long-standing human disease, and an early reduction in scar can compromise necessary repair. For example, acute cardiac myofibroblast depletion impairs adaptive healing, whereas tested cell therapies fail in established rodent scar[7,57]. Evidence of molecular normalization, histo
| Platform | Primary contribution/causal inference | Memory or reversibility requirements | Main limitation |
| Single-cell/single-nucleus RNA sequencing | Identifies cell states and heterogeneity; not causal by itself[8,37] | Longitudinal sampling can suggest persistence; exposure history and a functional test are needed | Sampling bias, dissociation effects, and lack of spatial context |
| Spatial transcriptomics | Maps tissue architecture and candidate interactions; not causal alone[65,66] | Can localize retained niches, but cannot alone exclude continuing stimulus | Resolution, analytical inference, and tissue-sampling limitations |
| Multiome/chromatin profiling | Links regulatory and transcriptional states; stronger inference requires perturbation[48] | Test retained programs after withdrawal and selectively perturb the candidate state | A chromatin signature is not itself proof of memory |
| Lineage tracing/barcoding | Establishes origin and fate, not causal necessity without an additional intervention[28] | Combine with withdrawal/re-exposure and appropriate functional perturbation[52] | Label specificity, recombination efficiency, and mostly experimental-animal use |
| Inducible perturbation/Perturb-seq | Tests candidate regulatory contributions when controls and endpoints are appropriate[29] | Perturb an already retained state after injury reduction; assess later function and re-exposure | Perturbation during ongoing injury may identify an injury pathway rather than memory |
| Organoids/expandable epithelial cultures | Experimentally tractable human-derived models[50,51] | Add and validate injury, washout, recovery, and rechallenge; this is a proposed extension, not automatic platform capability | Incomplete immune, vascular, and mechanical niches; variable maturation |
| Ex vivo diseased ECM/tissue systems | Tests matrix-conditioned behavior and niche instruction[34] | Transfer away from diseased ECM or remove residual stimuli to test cell-autonomous retention | Continued ECM exposure is continuing niche instruction, not proof of intrinsic memory |
| Longitudinal human sampling | Establishes clinical relevance and candidate biomarker trajectories[9,20] | Document injury reduction, recovery interval, and confounders; couple associations to functional models | Limited repeat sampling and no routine direct genetic causal test |
The ultimate challenge for therapeutic reprogramming is achieving sufficient correction of pathological states without disrupting normal tissue identity[53,54]. Because fibrosis involves complex interactions among regenerative cells, immune populations, fibroblasts, and ECM, single-target interventions may be insufficient. Future approaches will likely require precise, context-dependent modulation of multiple regulatory layers[3,5]. An ideal reprogramming strategy should possess several characteristics[53,54]: Tissue specificity; reversibility; controllable intensity; preservation of lineage identity; minimal risk of uncontrolled proliferation. The future of fibrosis therapy may therefore depend not only on dis
The present framework builds on, rather than replaces, major syntheses of fibrosis mechanisms, maladaptive rege
| Ref. | Principal scope | Overlap with this review | Additional emphasis of the present framework |
| Henderson et al[3], 2020 | Fibrosis mechanisms and therapeutic development across organs | Immune-stromal interactions, ECM remodeling, and antifibrotic targets | Aligns repair-compartment identity with operational persistence tests and separates mechanism, memory, and clinical benefit |
| Zhu et al[4], 2021 | Maladaptive regeneration and developmental pathways in NASH/fibrosis | Repair can become fibrogenic rather than simply insufficient | Compares seven organs without assuming identical progenitor biology; distinguishes persistent repair from directly tested memory |
| Distler et al[5], 2019 | Shared and organ-specific fibrosis mechanisms | Conserved signaling alongside disease- and organ-specific biology | Uses model- and cell-specific directness to constrain cross-organ grades and therapeutic classification |
| Netea et al[67], 2020 | Trained immunity in health and disease | Durable response changes and epigenetic/metabolic conditioning | Requires fibrosis-relevant endpoints and separates beneficial tolerance, ongoing niche stimulation, and autonomous retained states |
| Present review | Evidence-calibrated injury-repair-memory synthesis | Integrates established concepts rather than claiming a wholly new mechanism | Proposes testable links, explicit memory boundaries, a reprogramming/modulation/platform distinction, and a staged translational roadmap |
Near-term priorities are biomarker and model development. Candidate epithelial, stromal, and niche signatures should be evaluated in longitudinal cohorts with documented injury status and organ-specific functional outcomes. Assays should prespecify the recovery interval, distinguish residual stimulus from retained state, and report analytical reproducibility. Patient-derived cultures, organoids, and ex vivo tissues can then be used to test candidate-state reversibility rather than assumed to deliver clinical repair[9,37,50,51].
An intermediate step is causal validation: Selectively perturb the candidate state after injury reduction, measure its persistence after treatment washout, and test re-exposure, matrix transfer, and functional restoration where appropriate. Replication across complementary models is needed before interpreting reduced collagen or a normalized transcriptome as durable regenerative recovery. Existing withdrawal, transfer, and sensitized-reactivation experiments provide design examples, not interchangeable evidence across organs[13,20,52].
Longer-term therapeutic reprogramming requires targeted delivery, controlled intensity and duration, preservation of lineage identity, and surveillance for tumorigenesis, abnormal plasticity, and immune dysfunction. Candidate therapies should advance only when durable functional benefit and acceptable safety are shown in the relevant disease stage, with established antifibrotic care as an appropriate comparator[23,53,54].
Organ fibrosis involves more than ECM accumulation and fibroblast activation. It can also reflect dysfunction of a regenerative system composed of bona fide stem/progenitor populations, injury-responsive differentiated parenchymal cells, immune and stromal effectors, and the extracellular niche[3-5]. Evidence varies by organ and endpoint. Selected lung and kidney epithelial mechanisms have functional support[17,19,20,27], and stromal drivers are directly demonstrated in skin and marrow[11,59,61]. Mechanical and selected epigenetic or activation-state memory experiments are informative but context-restricted[13,14,52]. Cross-organ generalization and metabolic-memory erasure remain hypotheses rather than established therapeutic mechanisms. The injury-repair-memory framework is an evidence-calibrated, testable synthesis rather than a universally established mechanism. Its use should follow the operational boundaries in “Definition and conceptual boundaries” and Table 2, without treating persistent disease signatures as proof of memory. Therapeutic reprogramming should likewise be reserved for controlled and durable correction of path
| 1. | King TE Jr, Bradford WZ, Castro-Bernardini S, Fagan EA, Glaspole I, Glassberg MK, Gorina E, Hopkins PM, Kardatzke D, Lancaster L, Lederer DJ, Nathan SD, Pereira CA, Sahn SA, Sussman R, Swigris JJ, Noble PW; ASCEND Study Group. A phase 3 trial of pirfenidone in patients with idiopathic pulmonary fibrosis. N Engl J Med. 2014;370:2083-2092. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 3359] [Cited by in RCA: 3077] [Article Influence: 256.4] [Reference Citation Analysis (22)] |
| 2. | Richeldi L, du Bois RM, Raghu G, Azuma A, Brown KK, Costabel U, Cottin V, Flaherty KR, Hansell DM, Inoue Y, Kim DS, Kolb M, Nicholson AG, Noble PW, Selman M, Taniguchi H, Brun M, Le Maulf F, Girard M, Stowasser S, Schlenker-Herceg R, Disse B, Collard HR; INPULSIS Trial Investigators. Efficacy and safety of nintedanib in idiopathic pulmonary fibrosis. N Engl J Med. 2014;370:2071-2082. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 2751] [Cited by in RCA: 3583] [Article Influence: 298.6] [Reference Citation Analysis (6)] |
| 3. | Henderson NC, Rieder F, Wynn TA. Fibrosis: from mechanisms to medicines. Nature. 2020;587:555-566. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1587] [Cited by in RCA: 1566] [Article Influence: 261.0] [Reference Citation Analysis (4)] |
| 4. | Zhu C, Tabas I, Schwabe RF, Pajvani UB. Maladaptive regeneration - the reawakening of developmental pathways in NASH and fibrosis. Nat Rev Gastroenterol Hepatol. 2021;18:131-142. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 97] [Cited by in RCA: 93] [Article Influence: 18.6] [Reference Citation Analysis (1)] |
| 5. | Distler JHW, Györfi AH, Ramanujam M, Whitfield ML, Königshoff M, Lafyatis R. Shared and distinct mechanisms of fibrosis. Nat Rev Rheumatol. 2019;15:705-730. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 564] [Cited by in RCA: 534] [Article Influence: 76.3] [Reference Citation Analysis (0)] |
| 6. | Frangogiannis NG. Cardiac fibrosis. Cardiovasc Res. 2021;117:1450-1488. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 104] [Cited by in RCA: 1029] [Article Influence: 171.5] [Reference Citation Analysis (0)] |
| 7. | Vagnozzi RJ, Kasam RK, Sargent MA, Molkentin JD. Cardiac Cell Therapy Fails to Rejuvenate the Chronically Scarred Rodent Heart. Circulation. 2021;144:328-331. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 4] [Cited by in RCA: 14] [Article Influence: 2.8] [Reference Citation Analysis (1)] |
| 8. | Strunz M, Simon LM, Ansari M, Kathiriya JJ, Angelidis I, Mayr CH, Tsidiridis G, Lange M, Mattner LF, Yee M, Ogar P, Sengupta A, Kukhtevich I, Schneider R, Zhao Z, Voss C, Stoeger T, Neumann JHL, Hilgendorff A, Behr J, O'Reilly M, Lehmann M, Burgstaller G, Königshoff M, Chapman HA, Theis FJ, Schiller HB. Alveolar regeneration through a Krt8+ transitional stem cell state that persists in human lung fibrosis. Nat Commun. 2020;11:3559. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 417] [Cited by in RCA: 621] [Article Influence: 103.5] [Reference Citation Analysis (4)] |
| 9. | Wen Y, Su E, Xu L, Menez S, Moledina DG, Obeid W, Palevsky PM, Mansour SG, Devarajan P, Cantley LG, Cahan P, Parikh CR; Kidney Precision Medicine Project; Translational Investigation of Biomarker Endpoint of Acute Kidney Injury. Analysis of the human kidney transcriptome and plasma proteome identifies markers of proximal tubule maladaptation to injury. Sci Transl Med. 2023;15:eade7287. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 19] [Cited by in RCA: 25] [Article Influence: 8.3] [Reference Citation Analysis (0)] |
| 10. | Ramachandran P, Dobie R, Wilson-Kanamori JR, Dora EF, Henderson BEP, Luu NT, Portman JR, Matchett KP, Brice M, Marwick JA, Taylor RS, Efremova M, Vento-Tormo R, Carragher NO, Kendall TJ, Fallowfield JA, Harrison EM, Mole DJ, Wigmore SJ, Newsome PN, Weston CJ, Iredale JP, Tacke F, Pollard JW, Ponting CP, Marioni JC, Teichmann SA, Henderson NC. Resolving the fibrotic niche of human liver cirrhosis at single-cell level. Nature. 2019;575:512-518. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 868] [Cited by in RCA: 1442] [Article Influence: 206.0] [Reference Citation Analysis (8)] |
| 11. | Schneider RK, Mullally A, Dugourd A, Peisker F, Hoogenboezem R, Van Strien PMH, Bindels EM, Heckl D, Büsche G, Fleck D, Müller-Newen G, Wongboonsin J, Ventura Ferreira M, Puelles VG, Saez-Rodriguez J, Ebert BL, Humphreys BD, Kramann R. Gli1(+) Mesenchymal Stromal Cells Are a Key Driver of Bone Marrow Fibrosis and an Important Cellular Therapeutic Target. Cell Stem Cell. 2017;20:785-800.e8. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 189] [Cited by in RCA: 218] [Article Influence: 24.2] [Reference Citation Analysis (0)] |
| 12. | Rieder F, Fiocchi C, Rogler G. Mechanisms, Management, and Treatment of Fibrosis in Patients With Inflammatory Bowel Diseases. Gastroenterology. 2017;152:340-350.e6. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 457] [Cited by in RCA: 437] [Article Influence: 48.6] [Reference Citation Analysis (6)] |
| 13. | Balestrini JL, Chaudhry S, Sarrazy V, Koehler A, Hinz B. The mechanical memory of lung myofibroblasts. Integr Biol (Camb). 2012;4:410-421. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 226] [Cited by in RCA: 326] [Article Influence: 23.3] [Reference Citation Analysis (3)] |
| 14. | Shin JY, Beckett JD, Bagirzadeh R, Creamer TJ, Shah AA, McMahan Z, Paik JJ, Sampedro MM, MacFarlane EG, Beer MA, Warren D, Wigley FM, Dietz HC. Epigenetic activation and memory at a TGFB2 enhancer in systemic sclerosis. Sci Transl Med. 2019;11:eaaw0790. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 50] [Cited by in RCA: 61] [Article Influence: 8.7] [Reference Citation Analysis (0)] |
| 15. | Schafer MJ, White TA, Iijima K, Haak AJ, Ligresti G, Atkinson EJ, Oberg AL, Birch J, Salmonowicz H, Zhu Y, Mazula DL, Brooks RW, Fuhrmann-Stroissnigg H, Pirtskhalava T, Prakash YS, Tchkonia T, Robbins PD, Aubry MC, Passos JF, Kirkland JL, Tschumperlin DJ, Kita H, LeBrasseur NK. Cellular senescence mediates fibrotic pulmonary disease. Nat Commun. 2017;8:14532. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 685] [Cited by in RCA: 1353] [Article Influence: 150.3] [Reference Citation Analysis (1)] |
| 16. | Schneider JL, Rowe JH, Garcia-de-Alba C, Kim CF, Sharpe AH, Haigis MC. The aging lung: Physiology, disease, and immunity. Cell. 2021;184:1990-2019. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 229] [Cited by in RCA: 379] [Article Influence: 75.8] [Reference Citation Analysis (0)] |
| 17. | Yao C, Guan X, Carraro G, Parimon T, Liu X, Huang G, Mulay A, Soukiasian HJ, David G, Weigt SS, Belperio JA, Chen P, Jiang D, Noble PW, Stripp BR. Senescence of Alveolar Type 2 Cells Drives Progressive Pulmonary Fibrosis. Am J Respir Crit Care Med. 2021;203:707-717. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 264] [Cited by in RCA: 410] [Article Influence: 82.0] [Reference Citation Analysis (4)] |
| 18. | Liang J, Huang G, Liu X, Liu N, Taghavifar F, Dai K, Yao C, Deng N, Wang Y, Chen P, Hogaboam C, Stripp BR, Parks WC, Noble PW, Jiang D. Reciprocal interactions between alveolar progenitor dysfunction and aging promote lung fibrosis. Elife. 2023;12:e85415. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 16] [Cited by in RCA: 32] [Article Influence: 10.7] [Reference Citation Analysis (0)] |
| 19. | Yang L, Besschetnova TY, Brooks CR, Shah JV, Bonventre JV. Epithelial cell cycle arrest in G2/M mediates kidney fibrosis after injury. Nat Med. 2010;16:535-543, 1p following 143. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 861] [Cited by in RCA: 1133] [Article Influence: 70.8] [Reference Citation Analysis (0)] |
| 20. | O'Sullivan ED, Mylonas KJ, Bell R, Carvalho C, Baird DP, Cairns C, Gallagher KM, Campbell R, Docherty M, Laird A, Henderson NC, Chandra T, Kirschner K, Conway B, Dihazi GH, Zeisberg M, Hughes J, Denby L, Dihazi H, Ferenbach DA. Single-cell analysis of senescent epithelia reveals targetable mechanisms promoting fibrosis. JCI Insight. 2022;7:e154124. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 10] [Cited by in RCA: 33] [Article Influence: 8.3] [Reference Citation Analysis (0)] |
| 21. | Cui H, Xie N, Banerjee S, Dey T, Liu RM, Antony VB, Sanders YY, Adams TS, Gomez JL, Thannickal VJ, Kaminski N, Liu G. CD38 Mediates Lung Fibrosis by Promoting Alveolar Epithelial Cell Aging. Am J Respir Crit Care Med. 2022;206:459-475. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 60] [Cited by in RCA: 64] [Article Influence: 16.0] [Reference Citation Analysis (1)] |
| 22. | Krizhanovsky V, Yon M, Dickins RA, Hearn S, Simon J, Miething C, Yee H, Zender L, Lowe SW. Senescence of activated stellate cells limits liver fibrosis. Cell. 2008;134:657-667. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1735] [Cited by in RCA: 1646] [Article Influence: 91.4] [Reference Citation Analysis (4)] |
| 23. | Justice JN, Nambiar AM, Tchkonia T, LeBrasseur NK, Pascual R, Hashmi SK, Prata L, Masternak MM, Kritchevsky SB, Musi N, Kirkland JL. Senolytics in idiopathic pulmonary fibrosis: Results from a first-in-human, open-label, pilot study. EBioMedicine. 2019;40:554-563. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 482] [Cited by in RCA: 1027] [Article Influence: 146.7] [Reference Citation Analysis (0)] |
| 24. | Lee JY, Reyes NS, Ravishankar S, Zhou M, Krasilnikov M, Ringler C, Pohan G, Wilson C, Ang KK, Wolters PJ, Tsukui T, Sheppard D, Arkin MR, Peng T. An in vivo screening platform identifies senolytic compounds that target p16INK4a+ fibroblasts in lung fibrosis. J Clin Invest. 2024;134:e173371. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 55] [Cited by in RCA: 48] [Article Influence: 24.0] [Reference Citation Analysis (0)] |
| 25. | Kobayashi Y, Tata A, Konkimalla A, Katsura H, Lee RF, Ou J, Banovich NE, Kropski JA, Tata PR. Persistence of a regeneration-associated, transitional alveolar epithelial cell state in pulmonary fibrosis. Nat Cell Biol. 2020;22:934-946. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 256] [Cited by in RCA: 493] [Article Influence: 82.2] [Reference Citation Analysis (0)] |
| 26. | Hu Y, Bao X, Zhang Z, Chen L, Liang Y, Qu Y, Zhou Q, Zhou X, Fang J, Xiao Z, Fu Y, Yang H, Liu W, Lv Y, Cao H, Chen G, Ping J, Zhang H, Mu Y, Liu C, Lin CP, Wu J, Liu P, Chen J. Hepatic progenitor cell-originated ductular reaction facilitates liver fibrosis through activation of hedgehog signaling. Theranostics. 2024;14:2379-2395. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 25] [Reference Citation Analysis (1)] |
| 27. | Wang F, Ting C, Riemondy KA, Douglas M, Foster K, Patel N, Kaku N, Linsalata A, Nemzek J, Varisco BM, Cohen E, Wilson JA, Riches DW, Redente EF, Toivola DM, Zhou X, Moore BB, Coulombe PA, Omary MB, Zemans RL. Regulation of epithelial transitional states in murine and human pulmonary fibrosis. J Clin Invest. 2023;133:e165612. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 89] [Cited by in RCA: 160] [Article Influence: 53.3] [Reference Citation Analysis (3)] |
| 28. | Kretzschmar K, Watt FM. Lineage tracing. Cell. 2012;148:33-45. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 497] [Cited by in RCA: 577] [Article Influence: 41.2] [Reference Citation Analysis (0)] |
| 29. | Dixit A, Parnas O, Li B, Chen J, Fulco CP, Jerby-Arnon L, Marjanovic ND, Dionne D, Burks T, Raychowdhury R, Adamson B, Norman TM, Lander ES, Weissman JS, Friedman N, Regev A. Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens. Cell. 2016;167:1853-1866.e17. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1024] [Cited by in RCA: 1396] [Article Influence: 139.6] [Reference Citation Analysis (0)] |
| 30. | Choi J, Jang YJ, Dabrowska C, Iich E, Evans KV, Hall H, Janes SM, Simons BD, Koo BK, Kim J, Lee JH. Release of Notch activity coordinated by IL-1β signalling confers differentiation plasticity of airway progenitors via Fosl2 during alveolar regeneration. Nat Cell Biol. 2021;23:953-966. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 13] [Cited by in RCA: 67] [Article Influence: 13.4] [Reference Citation Analysis (0)] |
| 31. | Liu X, Rowan SC, Liang J, Yao C, Huang G, Deng N, Xie T, Wu D, Wang Y, Burman A, Parimon T, Borok Z, Chen P, Parks WC, Hogaboam CM, Weigt SS, Belperio J, Stripp BR, Noble PW, Jiang D. Categorization of lung mesenchymal cells in development and fibrosis. iScience. 2021;24:102551. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 84] [Cited by in RCA: 77] [Article Influence: 15.4] [Reference Citation Analysis (4)] |
| 32. | Liu F, Lagares D, Choi KM, Stopfer L, Marinković A, Vrbanac V, Probst CK, Hiemer SE, Sisson TH, Horowitz JC, Rosas IO, Fredenburgh LE, Feghali-Bostwick C, Varelas X, Tager AM, Tschumperlin DJ. Mechanosignaling through YAP and TAZ drives fibroblast activation and fibrosis. Am J Physiol Lung Cell Mol Physiol. 2015;308:L344-L357. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 404] [Cited by in RCA: 735] [Article Influence: 61.3] [Reference Citation Analysis (0)] |
| 33. | Wu H, Yu Y, Huang H, Hu Y, Fu S, Wang Z, Shi M, Zhao X, Yuan J, Li J, Yang X, Bin E, Wei D, Zhang H, Zhang J, Yang C, Cai T, Dai H, Chen J, Tang N. Progressive Pulmonary Fibrosis Is Caused by Elevated Mechanical Tension on Alveolar Stem Cells. Cell. 2020;180:107-121.e17. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 138] [Cited by in RCA: 343] [Article Influence: 57.2] [Reference Citation Analysis (2)] |
| 34. | Parker MW, Rossi D, Peterson M, Smith K, Sikström K, White ES, Connett JE, Henke CA, Larsson O, Bitterman PB. Fibrotic extracellular matrix activates a profibrotic positive feedback loop. J Clin Invest. 2014;124:1622-1635. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 512] [Cited by in RCA: 469] [Article Influence: 39.1] [Reference Citation Analysis (2)] |
| 35. | Melms JC, Biermann J, Huang H, Wang Y, Nair A, Tagore S, Katsyv I, Rendeiro AF, Amin AD, Schapiro D, Frangieh CJ, Luoma AM, Filliol A, Fang Y, Ravichandran H, Clausi MG, Alba GA, Rogava M, Chen SW, Ho P, Montoro DT, Kornberg AE, Han AS, Bakhoum MF, Anandasabapathy N, Suárez-Fariñas M, Bakhoum SF, Bram Y, Borczuk A, Guo XV, Lefkowitch JH, Marboe C, Lagana SM, Del Portillo A, Tsai EJ, Zorn E, Markowitz GS, Schwabe RF, Schwartz RE, Elemento O, Saqi A, Hibshoosh H, Que J, Izar B. A molecular single-cell lung atlas of lethal COVID-19. Nature. 2021;595:114-119. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 195] [Cited by in RCA: 551] [Article Influence: 110.2] [Reference Citation Analysis (1)] |
| 36. | Kuppe C, Ibrahim MM, Kranz J, Zhang X, Ziegler S, Perales-Patón J, Jansen J, Reimer KC, Smith JR, Dobie R, Wilson-Kanamori JR, Halder M, Xu Y, Kabgani N, Kaesler N, Klaus M, Gernhold L, Puelles VG, Huber TB, Boor P, Menzel S, Hoogenboezem RM, Bindels EMJ, Steffens J, Floege J, Schneider RK, Saez-Rodriguez J, Henderson NC, Kramann R. Decoding myofibroblast origins in human kidney fibrosis. Nature. 2021;589:281-286. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 210] [Cited by in RCA: 640] [Article Influence: 128.0] [Reference Citation Analysis (0)] |
| 37. | Lake BB, Menon R, Winfree S, Hu Q, Melo Ferreira R, Kalhor K, Barwinska D, Otto EA, Ferkowicz M, Diep D, Plongthongkum N, Knoten A, Urata S, Mariani LH, Naik AS, Eddy S, Zhang B, Wu Y, Salamon D, Williams JC, Wang X, Balderrama KS, Hoover PJ, Murray E, Marshall JL, Noel T, Vijayan A, Hartman A, Chen F, Waikar SS, Rosas SE, Wilson FP, Palevsky PM, Kiryluk K, Sedor JR, Toto RD, Parikh CR, Kim EH, Satija R, Greka A, Macosko EZ, Kharchenko PV, Gaut JP, Hodgin JB; KPMP Consortium, Eadon MT, Dagher PC, El-Achkar TM, Zhang K, Kretzler M, Jain S. An atlas of healthy and injured cell states and niches in the human kidney. Nature. 2023;619:585-594. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 401] [Cited by in RCA: 576] [Article Influence: 192.0] [Reference Citation Analysis (0)] |
| 38. | Huang G, Liang J, Huang K, Liu X, Taghavifar F, Yao C, Parimon T, Liu N, Dai K, Aziz A, Wang Y, Waldron RT, Mou H, Stripp B, Noble PW, Jiang D. Basal Cell-derived WNT7A Promotes Fibrogenesis at the Fibrotic Niche in Idiopathic Pulmonary Fibrosis. Am J Respir Cell Mol Biol. 2023;68:302-313. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 5] [Cited by in RCA: 23] [Article Influence: 7.7] [Reference Citation Analysis (0)] |
| 39. | Jeljeli M, Riccio LGC, Doridot L, Chêne C, Nicco C, Chouzenoux S, Deletang Q, Allanore Y, Kavian N, Batteux F. Trained immunity modulates inflammation-induced fibrosis. Nat Commun. 2019;10:5670. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 42] [Cited by in RCA: 131] [Article Influence: 18.7] [Reference Citation Analysis (0)] |
| 40. | Schuster R, Rockel JS, Kapoor M, Hinz B. The inflammatory speech of fibroblasts. Immunol Rev. 2021;302:126-146. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 31] [Cited by in RCA: 143] [Article Influence: 28.6] [Reference Citation Analysis (4)] |
| 41. | Tsuji S, Minami S, Hashimoto R, Konishi Y, Suzuki T, Kondo T, Sasai M, Torii S, Ono C, Shichinohe S, Sato S, Wakita M, Okumura S, Nakano S, Matsudaira T, Matsumoto T, Kawamoto S, Yamamoto M, Watanabe T, Matsuura Y, Takayama K, Kobayashi T, Okamoto T, Hara E. SARS-CoV-2 infection triggers paracrine senescence and leads to a sustained senescence-associated inflammatory response. Nat Aging. 2022;2:115-124. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 20] [Cited by in RCA: 64] [Article Influence: 16.0] [Reference Citation Analysis (0)] |
| 42. | Narasimhan H, Cheon IS, Qian W, Hu SS, Parimon T, Li C, Goplen N, Wu Y, Wei X, Son YM, Fink E, de Almeida Santos G, Tang J, Yao C, Muehling L, Canderan G, Kadl A, Cannon A, Young S, Hannan R, Bingham G, Arish M, Sen Chaudhari A, Im JS, Mattingly CLR, Pramoonjago P, Marchesvsky A, Sturek J, Kohlmeier JE, Shim YM, Woodfolk J, Zang C, Chen P, Sun J. An aberrant immune-epithelial progenitor niche drives viral lung sequelae. Nature. 2024;634:961-969. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 70] [Cited by in RCA: 84] [Article Influence: 42.0] [Reference Citation Analysis (0)] |
| 43. | Seidman JS, Troutman TD, Sakai M, Gola A, Spann NJ, Bennett H, Bruni CM, Ouyang Z, Li RZ, Sun X, Vu BT, Pasillas MP, Ego KM, Gosselin D, Link VM, Chong LW, Evans RM, Thompson BM, McDonald JG, Hosseini M, Witztum JL, Germain RN, Glass CK. Niche-Specific Reprogramming of Epigenetic Landscapes Drives Myeloid Cell Diversity in Nonalcoholic Steatohepatitis. Immunity. 2020;52:1057-1074.e7. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 394] [Cited by in RCA: 378] [Article Influence: 63.0] [Reference Citation Analysis (4)] |
| 44. | McQuattie-Pimentel AC, Ren Z, Joshi N, Watanabe S, Stoeger T, Chi M, Lu Z, Sichizya L, Aillon RP, Chen CI, Soberanes S, Chen Z, Reyfman PA, Walter JM, Anekalla KR, Davis JM, Helmin KA, Runyan CE, Abdala-Valencia H, Nam K, Meliton AY, Winter DR, Morimoto RI, Mutlu GM, Bharat A, Perlman H, Gottardi CJ, Ridge KM, Chandel NS, Sznajder JI, Balch WE, Singer BD, Misharin AV, Budinger GRS. The lung microenvironment shapes a dysfunctional response of alveolar macrophages in aging. J Clin Invest. 2021;131:e140299. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 96] [Cited by in RCA: 156] [Article Influence: 31.2] [Reference Citation Analysis (0)] |
| 45. | Zhao X, Kwan JYY, Yip K, Liu PP, Liu FF. Targeting metabolic dysregulation for fibrosis therapy. Nat Rev Drug Discov. 2020;19:57-75. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 460] [Cited by in RCA: 435] [Article Influence: 72.5] [Reference Citation Analysis (0)] |
| 46. | Balzer MS, Doke T, Yang YW, Aldridge DL, Hu H, Mai H, Mukhi D, Ma Z, Shrestha R, Palmer MB, Hunter CA, Susztak K. Single-cell analysis highlights differences in druggable pathways underlying adaptive or fibrotic kidney regeneration. Nat Commun. 2022;13:4018. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 96] [Cited by in RCA: 182] [Article Influence: 45.5] [Reference Citation Analysis (0)] |
| 47. | Ide S, Kobayashi Y, Ide K, Strausser SA, Abe K, Herbek S, O'Brien LL, Crowley SD, Barisoni L, Tata A, Tata PR, Souma T. Ferroptotic stress promotes the accumulation of pro-inflammatory proximal tubular cells in maladaptive renal repair. Elife. 2021;10:e68603. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 15] [Cited by in RCA: 133] [Article Influence: 26.6] [Reference Citation Analysis (0)] |
| 48. | Ledru N, Wilson PC, Muto Y, Yoshimura Y, Wu H, Li D, Asthana A, Tullius SG, Waikar SS, Orlando G, Humphreys BD. Predicting proximal tubule failed repair drivers through regularized regression analysis of single cell multiomic sequencing. Nat Commun. 2024;15:1291. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 50] [Cited by in RCA: 59] [Article Influence: 29.5] [Reference Citation Analysis (0)] |
| 49. | Clevers H. Modeling Development and Disease with Organoids. Cell. 2016;165:1586-1597. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 2646] [Cited by in RCA: 2371] [Article Influence: 237.1] [Reference Citation Analysis (6)] |
| 50. | Morizane R, Lam AQ, Freedman BS, Kishi S, Valerius MT, Bonventre JV. Nephron organoids derived from human pluripotent stem cells model kidney development and injury. Nat Biotechnol. 2015;33:1193-1200. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 863] [Cited by in RCA: 744] [Article Influence: 67.6] [Reference Citation Analysis (0)] |
| 51. | Huch M, Gehart H, van Boxtel R, Hamer K, Blokzijl F, Verstegen MM, Ellis E, van Wenum M, Fuchs SA, de Ligt J, van de Wetering M, Sasaki N, Boers SJ, Kemperman H, de Jonge J, Ijzermans JN, Nieuwenhuis EE, Hoekstra R, Strom S, Vries RR, van der Laan LJ, Cuppen E, Clevers H. Long-term culture of genome-stable bipotent stem cells from adult human liver. Cell. 2015;160:299-312. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1424] [Cited by in RCA: 1272] [Article Influence: 115.6] [Reference Citation Analysis (8)] |
| 52. | Kisseleva T, Cong M, Paik Y, Scholten D, Jiang C, Benner C, Iwaisako K, Moore-Morris T, Scott B, Tsukamoto H, Evans SM, Dillmann W, Glass CK, Brenner DA. Myofibroblasts revert to an inactive phenotype during regression of liver fibrosis. Proc Natl Acad Sci U S A. 2012;109:9448-9453. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 714] [Cited by in RCA: 673] [Article Influence: 48.1] [Reference Citation Analysis (9)] |
| 53. | Ocampo A, Reddy P, Martinez-Redondo P, Platero-Luengo A, Hatanaka F, Hishida T, Li M, Lam D, Kurita M, Beyret E, Araoka T, Vazquez-Ferrer E, Donoso D, Roman JL, Xu J, Rodriguez Esteban C, Nuñez G, Nuñez Delicado E, Campistol JM, Guillen I, Guillen P, Izpisua Belmonte JC. In Vivo Amelioration of Age-Associated Hallmarks by Partial Reprogramming. Cell. 2016;167:1719-1733.e12. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 398] [Cited by in RCA: 708] [Article Influence: 78.7] [Reference Citation Analysis (1)] |
| 54. | Abad M, Mosteiro L, Pantoja C, Cañamero M, Rayon T, Ors I, Graña O, Megías D, Domínguez O, Martínez D, Manzanares M, Ortega S, Serrano M. Reprogramming in vivo produces teratomas and iPS cells with totipotency features. Nature. 2013;502:340-345. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 336] [Cited by in RCA: 416] [Article Influence: 32.0] [Reference Citation Analysis (1)] |
| 55. | Liang J, Zhang Y, Xie T, Liu N, Chen H, Geng Y, Kurkciyan A, Mena JM, Stripp BR, Jiang D, Noble PW. Hyaluronan and TLR4 promote surfactant-protein-C-positive alveolar progenitor cell renewal and prevent severe pulmonary fibrosis in mice. Nat Med. 2016;22:1285-1293. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 270] [Cited by in RCA: 257] [Article Influence: 25.7] [Reference Citation Analysis (0)] |
| 56. | Franzè E, Monteleone I, Laudisi F, Rizzo A, Dinallo V, Di Fusco D, Colantoni A, Ortenzi A, Giuffrida P, Di Carlo S, Sica GS, Di Sabatino A, Monteleone G. Cadherin-11 Is a Regulator of Intestinal Fibrosis. J Crohns Colitis. 2020;14:406-417. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 27] [Cited by in RCA: 33] [Article Influence: 5.5] [Reference Citation Analysis (0)] |
| 57. | Kanisicak O, Khalil H, Ivey MJ, Karch J, Maliken BD, Correll RN, Brody MJ, J Lin SC, Aronow BJ, Tallquist MD, Molkentin JD. Genetic lineage tracing defines myofibroblast origin and function in the injured heart. Nat Commun. 2016;7:12260. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 465] [Cited by in RCA: 793] [Article Influence: 79.3] [Reference Citation Analysis (0)] |
| 58. | Qian L, Huang Y, Spencer CI, Foley A, Vedantham V, Liu L, Conway SJ, Fu JD, Srivastava D. In vivo reprogramming of murine cardiac fibroblasts into induced cardiomyocytes. Nature. 2012;485:593-598. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1181] [Cited by in RCA: 1046] [Article Influence: 74.7] [Reference Citation Analysis (1)] |
| 59. | Rinkevich Y, Walmsley GG, Hu MS, Maan ZN, Newman AM, Drukker M, Januszyk M, Krampitz GW, Gurtner GC, Lorenz HP, Weissman IL, Longaker MT. Skin fibrosis. Identification and isolation of a dermal lineage with intrinsic fibrogenic potential. Science. 2015;348:aaa2151. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 401] [Cited by in RCA: 572] [Article Influence: 52.0] [Reference Citation Analysis (0)] |
| 60. | Marangoni RG, Korman BD, Wei J, Wood TA, Graham LV, Whitfield ML, Scherer PE, Tourtellotte WG, Varga J. Myofibroblasts in murine cutaneous fibrosis originate from adiponectin-positive intradermal progenitors. Arthritis Rheumatol. 2015;67:1062-1073. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 300] [Cited by in RCA: 280] [Article Influence: 25.5] [Reference Citation Analysis (0)] |
| 61. | Decker M, Martinez-Morentin L, Wang G, Lee Y, Liu Q, Leslie J, Ding L. Leptin-receptor-expressing bone marrow stromal cells are myofibroblasts in primary myelofibrosis. Nat Cell Biol. 2017;19:677-688. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 118] [Cited by in RCA: 139] [Article Influence: 15.4] [Reference Citation Analysis (1)] |
| 62. | Chaib S, Tchkonia T, Kirkland JL. Cellular senescence and senolytics: the path to the clinic. Nat Med. 2022;28:1556-1568. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 569] [Cited by in RCA: 854] [Article Influence: 213.5] [Reference Citation Analysis (0)] |
| 63. | Sun X, Chuang JC, Kanchwala M, Wu L, Celen C, Li L, Liang H, Zhang S, Maples T, Nguyen LH, Wang SC, Signer RA, Sorouri M, Nassour I, Liu X, Xu J, Wu M, Zhao Y, Kuo YC, Wang Z, Xing C, Zhu H. Suppression of the SWI/SNF Component Arid1a Promotes Mammalian Regeneration. Cell Stem Cell. 2016;18:456-466. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 82] [Cited by in RCA: 126] [Article Influence: 12.6] [Reference Citation Analysis (1)] |
| 64. | Feng D, Kong X, Weng H, Park O, Wang H, Dooley S, Gershwin ME, Gao B. Interleukin-22 promotes proliferation of liver stem/progenitor cells in mice and patients with chronic hepatitis B virus infection. Gastroenterology. 2012;143:188-98.e7. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 107] [Cited by in RCA: 138] [Article Influence: 9.9] [Reference Citation Analysis (4)] |
| 65. | Ståhl PL, Salmén F, Vickovic S, Lundmark A, Navarro JF, Magnusson J, Giacomello S, Asp M, Westholm JO, Huss M, Mollbrink A, Linnarsson S, Codeluppi S, Borg Å, Pontén F, Costea PI, Sahlén P, Mulder J, Bergmann O, Lundeberg J, Frisén J. Visualization and analysis of gene expression in tissue sections by spatial transcriptomics. Science. 2016;353:78-82. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 3186] [Cited by in RCA: 2661] [Article Influence: 266.1] [Reference Citation Analysis (3)] |
| 66. | Moses L, Pachter L. Museum of spatial transcriptomics. Nat Methods. 2022;19:534-546. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 28] [Cited by in RCA: 855] [Article Influence: 213.8] [Reference Citation Analysis (0)] |
| 67. | Netea MG, Domínguez-Andrés J, Barreiro LB, Chavakis T, Divangahi M, Fuchs E, Joosten LAB, van der Meer JWM, Mhlanga MM, Mulder WJM, Riksen NP, Schlitzer A, Schultze JL, Stabell Benn C, Sun JC, Xavier RJ, Latz E. Defining trained immunity and its role in health and disease. Nat Rev Immunol. 2020;20:375-388. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 2281] [Cited by in RCA: 2044] [Article Influence: 340.7] [Reference Citation Analysis (23)] |