We aimed at identifying acute phase biomarkers in Severe Fever with Thrombocytopenia Syndrome (SFTS), and to establish a model to predict mortality outcomes.

A retrospective analysis was conducted on multicenter clinical data. Group-based trajectory modeling (GBTM) was utilized to demonstrate the overall trend of laboratory indicators and their correlation with mortality. Six different machine learning algorithms were employed to develop prognostic models based on the clinical features during the acute phase, which were reduced using Lasso regression.

Seven indicators (ALT, AST, BUN, LDH, a-HBDH, DD, and PLT) at 7-10 days post-onset and their change slopes were found to be crucial during disease progression. These, along with other clinical features, were reduced to 8 variables using Lasso regression for model construction. The random forest model demonstrated the best performance in both internal validation (AUC: 0.961) and external validation (AUC: 0.948). Decision Curve Analysis indicated a good balance between model benefits and risks.

a-HBDH and its change slope along with central nervous symptom manifestations within 7-10 days after onset accurately predicted mortality in SFTS. Various algorithms provided a comprehensive overview of disease progression and constructed more stable and efficient models.

Periodontitis is a prevalent chronic inflammatory disease characterized by alveolar bone resorption. Its progression is closely linked to oxidative stress where reactive oxygen species (ROS) generated by mitochondria exacerbate inflammation in positive feedback loops. Strategies for mitochondrial regulation hold potential for therapeutic advances. Metal-organic frameworks (MOFs) have shown promise as nanozymes for ROS scavenging. However, inability to directly regulate cellular processes to prevent further ROS production from damaged mitochondria during persistent inflammation makes MOFs insufficient in treating periodontitis. This study synthesizes MnO2@UiO-66(Ce) by introducing MnO2 within nanoscale mesoporous UiO-66 type MOFs. MnO2 coupled with Ce clusters in MOF channels, forms a superoxide dismutase/catalase cascade catalytic system. More importantnly, manganese endows the MOFs with bioactive effects which enhances mitophagy, facilitating the removal of damaged mitochondria, thereby restoring long-term cellular homeostasis. The results demonstrate that this synergistic antioxidant solution MnO2@UiO-66 restores mitochondrial homeostasis and osteogenic activity of periodontal ligament cells in vitro and alleviates inflammatory bone resorption in a ligature-induced periodontitis model in vivo. The SIRT1-FOXO3-BNIP3 signaling axis plays a key role in this process. This study may provide a design strategy that combines a highly efficient cascade catalytic system with long-term regulation of cellular homeostasis to combat oxidative stress in chronic inflammation.

The abundant cell components of the adaptive immune system called T lymphocytes (T cells) play important roles in mediating immune responses to eliminate the invaders and create the memory of the germs to form a new immunity for the next encounter. Among them, cytotoxic T cells expressing cell-surface CD8 are the most critical effector cells that directly eradicate the target infected cells by recognizing antigens presented by major histocompatibility complex class I molecules to protect our body from pathological threats. In the continuous evolution of immunotherapy, various CD8+ T cell-based therapeutic strategies have been developed based on the role and molecular concept of CD8+ T cells. The emergence of such remarkable therapies provides promising hope for multiple human disease treatments such as autoimmunity, infectious disease, cancer, and other non-infectious diseases. In this review, we aim to discuss the current knowledge on the utilization of CD8+ T cell-based immunotherapy for the treatment of various diseases, the molecular basis involved, and its limitations. Additionally, we summarize the recent advances in the use of CD8+ T cell-based immunotherapy and provide a comprehensive overview of CD8+ T cells, including their structure, underlying mechanism of function, and markers associated with CD8+ T cell exhaustion. Building upon these foundations, we delineate the advancement of CD8+ T cell-based immunotherapies with fundamental operating principles followed by research studies, and challenges, as well as illustrate human diseases involved in this development.

The advent of in vitro models such as induced pluripotent stem cells (iPSC) and patient derived (disease) organoids is supporting the development of population and patient specific model systems reflecting human physiology and disease. However, there remains a significant underrepresentation of non-European, especially African model systems. The development of such models should be enthusiastically embraced by Sub-Saharan African countries (SSAC) and middle-income countries (LIMC) to direct their own research focused on the improvement of health of their own populations at a sustainable cost within their respective funding environments. Great care needs to be taken to develop national frameworks to direct, sustainably fund and support such efforts in a way that maximises the output of such models for the investment required. Here, we highlight how advanced culture models can play a role in vitalising local healthcare research by focusing on locally relevant health care questions using appropriate cell culture models. We also provide a potential national platform example that could maximise such output at the lowest cost. This framework presents an opportunity for SSAC and LMIC to base their healthcare research on locally relevant models to ensure that developed health care initiatives and interventions are best suited for the populations they serve and thus represent a reset in global health care research at large.

Low oxygen availability (hypoxia) is a prominent but poorly understood feature in multiple sclerosis (MS). Whether hypoxia causes or drives MS pathology and symptoms or whether it is a consequence of other pathological events, such as inflammation and vascular dysfunction, is unknown. Here, we summarize the available literature on the interplay between hypoxia and both pathological and symptomatic features of MS. Severe environmental hypoxia (i.e., altitude) may trigger or facilitate MS-related events, possibly by exacerbating tissue hypoxia in the central nervous system. Accordingly, increasing oxygen supply can mitigate pathological and clinical parameters in MS models. In contrast, stimulating the endogenous hypoxia response and adaptation systems by controlled exposure to hypoxia (hypoxia conditioning) renders the central nervous system more resistant to hypoxic insults, thereby attenuating pathology and symptomatology in MS models. Overlapping mechanisms likely play a role in the benefits conferred by physical activity in MS. We provide an integrative model to explain the paradoxically beneficial outcomes of both increased and decreased ambient oxygen conditions. In conclusion, controlled exposure to hypoxia, perhaps in combination with exercise, is a promising, possibly disease-course modifying therapeutic approach for MS. However, many open questions remain.

Arthritis, a disease affecting over 50 million adults in the United States, encompasses many different conditions involving joints and surrounding tissues. Disease development, progression, and subsequent treatment is dependent on many different factors, including the relationship between adjacent tissues and the immunological signals involved. A major contributor to disease regulation is the crosstalk between the cartilage and the bone in joints, as well as their reaction to immune factors such as cytokine signaling and macrophage mediation. Studying cartilage-bone crosstalk in arthritis development can be difficult, as controlling immunological factors in vivo is challenging, but in vitro models often lack multi-tissue relevancy.

To fix this, we developed an in vitro micro-physiological system using a biphasic bioreactor that supports modeling of multiple tissues. We generated cartilage and vascularized-bone analogs and combined them in the bioreactor to allow diffusion and signaling between them. Using this system, we directly induced inflammation in the cartilage region and studied how crosstalk between the two adjacent tissues contributed to disease progression.

We showed that conditioned media from pro-inflammatory macrophages generated a different inflammatory profile than a simple inflammatory cytokine cocktail. We also showed that the vascularized-bone region became inflamed in response to the cartilage inflammation, verifying crosstalk in the system and successfully modeling the relationship between cartilage and bone in an arthritic environment.

This model can be used to further probe the crosstalk between bone and cartilage in arthritis, allowing researchers to tease out the effect of specific inflammatory agents or therapeutics in vitro.

Continuous exposure to cigarette smoke (CS) significantly contributes to the development and progression of chronic obstructive pulmonary disease (COPD) and lung cancer. Animal models that inhale smoke nasally and have different lung physiology from humans may not accurately replicate cigarette smoke-induced health effects. Furthermore, traditional in vitro models fail to replicate the lung's dynamic mechanical forces and realistic inhalation exposure patterns, limiting their relevance in preclinical research. Here, we introduce an advanced smoke inhalation-based lung-on-chip system, the Continuous Flow AX12 (CFAX12), to investigate CS-induced cellular responses in a physiologically relevant manner. Unlike previous technologies, the CFAX12 integrates cyclic mechanical stretch with controlled whole-smoke exposure, allowing for a more accurate recreation of CS-induced alveolar microenvironment dynamics and barrier integrity responses. Using human alveolar epithelial cells, lung microvascular endothelial cells, and macrophages in mono- and co-culture models under air-liquid interface (ALI) conditions with breathing-like stretch (Str), we simulated key lung microenvironment features. Our results show that CS exposure using the CFAX12 induced a ~ 60% reduction in trans-barrier electrical resistance (TER), increased ROS generation depending on cellular model complexity, and a ~ 4.5-fold increase in IL-8 gene expression, all key hallmarks of early COPD pathogenesis. These findings underscore smoke-induced epithelial damage, inflammation, and oxidative stress, all of which contribute to alveolar barrier dysfunction and disease progression. Also, CFAX12 provides a more physiologically relevant alternative to submerged cigarette smoke extract (CSE) treatments, offering controlled whole-smoke exposure using the VC10 Smoking Robot, ensuring precisely regulated smoke delivery. Additionally, inclusion of pulmonary surfactant reduced IL8 gene levels by ~ 5 folds. Hence, by integrating mechanical and biological complexity, CFAX12 offers a robust platform for assessing inhaled smoke effects and identifying therapeutic targets. It's application in COPD drug screening can facilitate the discovery of compounds that preserve alveolar integrity, reduce inflammation, and mitigate oxidative damage, ultimately bridging the gap between regulatory and preclinical research applications.

Cryopreservation remains crucial bottleneck for storing and transporting bioengineered 3D cell models, vital for preclinical drug development and cancer research. Conventional cryoprotectants like fetal bovine serum (FBS) and dimethyl sulfoxide (DMSO) present cytotoxicity challenges and lack efficacy in maintaining structural integrity and viability in complex 3D culture models. This study investigates the efficacy of two carbohydrate-based macromolecular crowders (MMCs), polydextrose III (PD) and resistant maltodextrin (rMD), in cryopreserving human lung adenocarcinoma spheroids as alternatives to FBS. Spheroids were cryopreserved at -80 and -196 °C using MMC-based cryomixtures, with subsequent evaluation of cell viability, structural integrity, and proliferation markers post-thaw. Results indicate that MMC-based cryomixtures, particularly PD, provide superior cryoprotection, preserving the structural and functional integrity of A549 spheroids over a 60-day storage period at -196 °C. Immunocytochemistry of vimentin and Ki67 biomarkers demonstrated that PD-cryopreserved spheroids exhibited consistent structural stability and retained proliferative capacity, contrasting with those stored in conventional FBS-based cryomixtures, which showed marked deterioration in cellular morphology and viability. Apoptosis profiling revealed a lower incidence of cell death in MMC-preserved spheroids, with live cell percentages stabilizing around 50% at -80 °C and approximately 54% at -196 °C over the extended storage period. Further characterization revealed protection of the necrotic core and cellular junctions PD-cryopreserved spheroids. These findings suggest that MMC-based cryomixtures, especially PD, are effective alternatives for cryopreservation of tumor spheroids. The increased cellular viability and structural preservation provided by MMCs could advance their application in 3D culture preservation, addressing limitations of conventional cryopreservation in drug testing, regenerative medicine, and cancer research.

Idiopathic inflammatory myopathy (IIM) is an autoimmune disease that characterized by non-purulent inflammation of the skeletal muscle. However, due to the limitation of study model that can recapitulate the complex pathological process of IIM, the pathogenesis of IIM is still not fully clear. This manuscript develops a vascularized muscle tissue model on a chip that allows to model the immunity mediated pathological changes in IIM. This vascularized muscle model is constructed by layer-by-layer assembly, which could coculture of endothelial cells, myoblasts, and monocytes in a perfusable 3D system. The vascularized muscle model exhibits good biofunctions, including muscle cells alignment and fusion, myofibers generation, force production and expression of muscular biomarkers (myosin heavy chains 1, myosin heavy chains 7, actinin alpha 2, myogenin, and Desmin). Exposure to perfusion of activated monocytes, this work observes the functional changes of muscle tissue, which referred to myofibers atrophy, inflammatory response, and downregulated expression of muscle mature marker, consistent with clinical features of IIM. This work provides a unique platform for modelling IIM and paves a promising avenue for myopathies study and drug testing.

Chloropicrin, historically infamous as a chemical warfare agent during World War I, has recently resurfaced in global conflicts, prompting a reevaluation of its acute toxicological significance. This study addresses the historical knowledge gap surrounding chloropicrin by employing in silico toxicology methods to estimate toxicophores and predict acute toxicity across various exposure routes. Allegations of its use in recent conflicts necessitate a deeper understanding of its toxicological profile, particularly in modern warfare scenarios. Qualitative analysis (STopTox and admetSAR) revealed chloropicrin to be toxic for oral, dermal, and inhalation administration, with the nitro group attached to the carbon atom identified as a significant contributor to its toxic profile. Quantitative in silico estimates, using multiple methods (TEST, ProTox-II, ADMETlab, ACD/Labs Percepta and QSAR Toolbox), indicated t-LD50 values of 48.71 mg/kg bw for oral exposure, 130.16 mg/kg bw for dermal exposure, and an inhalation t-LC50 of 0.022 mg/L. However, method inconsistencies and variability in dose conversion guidance highlight the importance of a cautious approach to interpreting results. Furthermore, the study explores the potential of in silico methods to reduce reliance on animal testing, providing a more efficient and humane alternative for toxicity assessments. The findings contribute to a comprehensive understanding of chloropicrin's acute toxicity, emphasising the relevance of in silico methods in guiding future toxicological studies and informing safety assessments in agricultural and wartime scenarios.

Systemic inflammatory conditions are classically characterized by an acute hyperinflammatory phase, followed by a late immunosuppressive phase that elevates the susceptibility to secondary infections. Comprehensive mechanistic understanding of these phases is largely lacking. To address this gap, we leveraged a controlled, human in vivo model of lipopolysaccharide (LPS)-induced systemic inflammation encompassing both phases. Single-cell RNA sequencing during the acute hyperinflammatory phase identified an inflammatory CD163+SLC39A8+CALR+ monocyte-like subset (infMono) at 4 h post-LPS administration. The late immunosuppressive phase was characterized by diminished expression of type I interferon (IFN)-responsive genes in monocytes, impaired myelopoiesis and a pronounced attenuation of the immune response on a secondary LPS challenge 1 week after the first. The infMono gene program and impaired myelopoiesis were also detected in patient cohorts with bacterial sepsis and coronavirus disease. IFNβ treatment restored type-I IFN responses and proinflammatory cytokine production and induced monocyte maturation, suggesting a potential treatment option for immunosuppression.

Corticosteroid receptors, including mineralocorticoid receptor (MR) and glucocorticoid receptor (GR), play important roles in inflammatory pain in the dorsal root ganglion (DRG). Although it is widely known that activating the GR reduces inflammatory pain, it has recently been shown that MR activation contributes to pain and neuronal excitability in rodent studies. Moreover, little is known about the translation of this work to humans, or the mechanisms through which corticosteroid receptors regulate inflammatory pain.

Corticosteroid receptor expression in human and mouse DRGs was characterized. RNAscope was used to perform high-resolution in situ hybridization for GR and MR mRNAs and to examine their colocalization with markers for nociceptors ( SCN10A , Na V 1.8 mRNA) and Aβ mechanoreceptors ( KCNS1 , Kv9.1 mRNA) in human DRG and C57BL/6J mouse DRG samples.

GR and MR mRNAs are expressed in almost all DRG neurons across species. The 2 receptors colocalize in 99.2% of human DRG neurons and 95.9% of mouse DRG neurons ( P = .0004, Fisher exact test). In both human and mouse DRGs, the large-diameter KCNS1+ Aβ mechanoreceptors showed a significantly higher MR/GR ratio (MR-leaning) compared to KCNS1- neurons (human: 0.23 vs 0.04, P = .0002; mouse: 0.35 vs -0.24, P < .0001; log ratios, unpaired t test), whereas small-diameter SCN10A+ nociceptive neurons showed a significantly lower MR/GR ratio (GR-leaning) compared to SCN10A- neurons (human: -0.02 vs 0.18, P = .0001; mouse: -0.16 vs 0.08, P < .0001; log ratios, unpaired t test).

These findings indicate that mouse corticosteroid receptor mRNA expression reflects human expression in the DRG, and that mice could be a suitable model for studying corticosteroid receptor involvement in pain. Additionally, this study supports the translatability of rodent data to humans for the use of more selective corticosteroids at the DRG in pain treatments.

Stroke, encompassing both ischemic and hemorrhagic subtypes, is a leading cause of mortality and disability globally and current treatments remain limited. Neuroinflammation plays a crucial role in the pathophysiology of stroke, influencing both acute injury and long-term recovery.

This review aims to provide a comprehensive overview of neuroinflammation in stroke, detailing the mechanisms, clinical implications, and potential therapeutic strategies.

A detailed literature review was conducted, focusing on recent advancements in understanding the neuroinflammatory processes in stroke, including the roles of thromboinflammation, blood-brain barrier (BBB) disruption, and the immune response.

The initial ischemic insult triggers an inflammatory cascade involving both innate and adaptive immune responses. BBB disruption allows peripheral immune cells and neurotoxic substances to infiltrate the brain, exacerbating neuronal damage and increasing the risk of infections such as pneumonia and urinary tract infections. Thromboinflammation, characterized by platelet activation and immune cell interactions, further complicates the ischemic environment. Proteomic studies have identified key biomarkers that offer insights into neuroinflammatory mechanisms and potential therapeutic targets. Advances in imaging techniques, such as PET and MRI, enable real-time monitoring of neuroinflammation, facilitating personalized treatment approaches.

Neuroinflammation significantly impacts stroke outcomes, presenting both challenges and opportunities for treatment. Current immunologic therapeutic strategies are limited. Future research should aim to further elucidate the complex immune interactions in stroke, refine imaging biomarkers for clinical use, and develop effective interventions to mitigate neuroinflammation.

Severe combined immunodeficiency (SCID) mini-pigs are a highly versatile model for human disease research and regenerative medicine.

This study aims to generate a novel JAK3-deficient mini-pig model with a human-like immune system and to elucidate how JAK3 plays an important role in immune system.

JAK3 and RAG2 knockout (KO) mini-pigs were generated using CRISPR/Cas9 and somatic cell nuclear transfer. These mini-pigs were transferred to a sterilized isolator within a specific pathogen-free facility. Phenotypic characteristics and clinical manifestations were analyzed through histological and hematological analysis of SCID mini-pigs to explore the unique role of JAK3 in immune functions.

JAK3 KO was characterized by defects in T and NK cells, very low levels of B cells, and a complete absence of thymus and lymph nodes. Notably, JAK3 KO mini-pigs had significantly reduced numbers of monocytes in peripheral blood, macrophages in tissue, and inflammatory cytokines, suggesting that JAK3 KO can induce a broad immunodeficiency that extends to the myeloid system as well as the lymphoid. Moreover, JAK3 KO mini-pigs had intestinal abnormalities similar to those of patients.

These results suggest that JAK3 KO mini-pigs can be used as an effective model for the development of therapies for SCID patients, as well as for regenerative medicine applications such as the development of patient-specific artificial organs.

The mutation frequency of colorectal cancer, the third most diagnosed tumor worldwide, is usually very high. To simultaneously target several mutations, we previously designed a CT26 polytope containing neoepitopes and epitopes of the murine CT26 colon cancer cell line. Additionally, to overcome the low immunogenicity of the CT26 polytope vaccine, we isolated recombinant outer membrane vesicles (rOMVs) displaying CT26 polytope from ClearColi™ and found that they induce antitumor immunity. In light of our previous studies, in this study, the recombinant CT26 polytope was chosen as the antigen to investigate the role of ClearColi™-derived OMVs and rOMVs displaying the CT26 polytope as adjuvants against colorectal carcinoma. CT26 polytope vaccine alone and in combination with OMV, rOMV displaying CT26 polytope, and alum as adjuvants were administered to BALB/c mice. Then, the humoral immunity specific to CT26-M90 and CT26 polytope and the stimulated IFN-γ, TNF-α, IL-10, and granzyme B were evaluated. Furthermore, the preventive effect of different immunization strategies against CT26 cells was assessed. Herein, immunization with OMVs and, particularly, rOMVs as adjuvants in combination with CT26 polytope resulted in higher production of CT26 polytope- and CT26-M90 peptide-specific IgG2a antibodies, an indicator of potential Th1 response, and enhanced levels of IFN-γ and TNF-α compared to alum. Furthermore, rOMVs as adjuvants induced higher levels of granzyme B and protection against CT26 characterized by significant reduction of tumor size compared to alum as adjuvants. This study indicates the efficacy of rOMVs and OMVs as adjuvants in combination with the CT26 polytope in a preventive CT26 mouse model. rOMVs delivering polytopic antigens, including different neoepitopes and epitopes as adjuvants, can provide promising platforms for the development of personalized cancer vaccines and vaccines against diseases containing highly variable antigens.

The translation of biomedical devices and drug research is an expensive and long process with a low probability of receiving FDA approval. Developing physiologically relevant in vitro models with human cells offers a solution to not only improving the odds of FDA approval but also to expand our ability to study complex in vivo systems in a simpler fashion. Animal models remain the standard for pre-clinical testing; however, the data from animal models is an unreliable extrapolation when anticipating a human response in clinical trials, thus contributing to the low rates of translation. In this review, we focus on in vitro vascular or angiogenic models because of the incremental role that the vascular system plays in the translation of biomedical research. The first section of this review discusses the most common angiogenic cytokines that are used in vitro to initiate angiogenesis, followed by angiogenic inhibitors where both initiators and inhibitors work to maintain vascular homeostasis. Next, we evaluate previously published in vitro models, where we evaluate capturing the physical environment for biomimetic in vitro modeling. These topics provide a foundation of parameters that must be considered to improve and achieve vascular biomimicry. Finally, we summarize these topics to suggest a path forward with the goal of engineering human in vitro models that emulate the in vivo environment and provide a platform for biomedical device and drug screening that produces data to support clinical translation.

Tumoroids are cultures of patient-derived tumor cells, which are grown in 3D in the presence of an extracellular matrix extract and specific growth factors. Tumoroids can be generated from adult as well as pediatric cancers, including epithelial cancers, sarcomas, and brain cancers. Tumoroids retain multi-omic characteristics of their corresponding tumor and recapitulate interpatient and intratumor heterogeneity. Retrospective and prospective studies have demonstrated that tumoroids predict patient responses to anticancer therapies, making them a promising tool for precision oncology. However, several challenges remain before tumoroids can be fully integrated into clinical decision-making, including success rates of tumoroid establishment and turnaround times. This review discusses the current advances, challenges, and future directions of tumoroid-based models in cancer research and precision therapy.

In vitro models of the human blood-brain barrier (BBB) are increasingly used to develop therapeutics that can cross the BBB for treating diseases of the central nervous system. Here we report a meta-analysis of the make-up and properties of transwell and microfluidic models of the healthy BBB and of BBBs in glioblastoma, Alzheimer's disease, Parkinson's disease and inflammatory diseases. We found that the type of model, the culture method (static or dynamic), the cell types and cell ratios, and the biomaterials employed as extracellular matrix are all crucial to recapitulate the low permeability and high expression of tight-junction proteins of the BBB, and to obtain high trans-endothelial electrical resistance. Specifically, for models of the healthy BBB, the inclusion of endothelial cells and pericytes as well as physiological shear stresses (~10-20 dyne cm-2) are necessary, and when astrocytes are added, astrocytes or pericytes should outnumber endothelial cells. We expect this meta-analysis to facilitate the design of increasingly physiological models of the BBB.

Irritable bowel syndrome (IBS) is a common gastrointestinal disorder that is often therapeutically challenging. While research has advanced our understanding of IBS pathophysiology, developing precise models to predict drug response and treatment outcomes remains a significant hurdle.

This perspective provides an overview of the use of animal models alongside cutting-edge technologies used to bring drugs from bench to bedside.Furthermore, the authors examine the progress and limitations of IBS modeling. The authors further discuss the challenges of traditional animal models and gives a spotlight to the potential of innovative technologies, such as organ-on-chip systems, computational models, and artificial intelligence (AI). These approaches intend to enhance both the understanding and treatment of IBS.

Although animal models have been central to understanding IBS research, they have limitations. The future of IBS research resides in integrating organ-on-chip systems and utilizing modern technological developments, such as AI. These tools will enable the design of more effective treatment strategies and improve patients' overall well-being. To achieve this, collaboration between experts from various disciplines is essential to improve these models and guarantee their clinical application and reliability.

Model organisms (MO) are widely used in neuroscience to study brain processes, behavior, and the biological foundation of human diseases. However, the use of MO has also been criticized for low reliability and insufficient success rate in the development of therapeutic approaches, because the success of MO use also led to overoptimistic and simplistic applications, which sometimes resulted in wrong conclusions. Here, we develop a conceptual framework of MO to support scientists in their practical work and to foster discussions about their power and limitations. For this purpose, we take advantage of concepts developed in the philosophy of science and adjust them for practical application by neuroscientists. We suggest that MO can be best understood as tools that are used to gain information about a group of species or a phenomenon in a species of interest. These learning processes are made possible by some properties of MO, which facilitate the process of acquisition of understanding or provide practical advantages, and the possibility to transfer information between species. However, residual uncertainty in the reliability of information transfer remains, and incorrect generalizations can be side-effects of epistemic benefits, which we consider as representational and epistemic risks. This suggests that to use MO most effectively, scientists should analyze the similarity relation between the involved species, weigh advantages and risks of certain epistemic benefits, and invest in carefully designed validation experiments. Altogether, our analysis illustrates how scientists can benefit from philosophical concepts for their research practice.

SUMMARYInfection has long been hypothesized as the cause of multiple sclerosis (MS), and recent evidence for Epstein-Barr virus (EBV) as the trigger of MS is clear and compelling. This clarity contrasts with yet uncertain viral mechanisms and their relation to MS neuroinflammation and demyelination. As long as this disparity persists, it will invigorate virologists, molecular biologists, immunologists, and clinicians to ascertain how EBV potentiates MS onset, and possibly the disease's chronic activity and progression. Such efforts should take advantage of the diverse body of basic and clinical research conducted over nearly two centuries since the first clinical descriptions of MS plaques. Defining the contribution of EBV to the complex and multifactorial pathology of MS will also require suitable experimental models and techniques. Such efforts will broaden our understanding of virus-driven neuroinflammation and specifically inform the development of EBV-targeted therapies for MS management and, ultimately, prevention.

Severe injury, including burn trauma, leads to profound immune dysfunction, yet the mechanisms driving these changes remain incompletely defined. This lack of understanding has hindered efforts to modulate the immune response effectively. Additionally, a clear biomarker profile to guide clinicians in identifying burn patients at high risk for poor clinical outcomes is lacking. Extracellular vesicles (EVs) have emerged as novel mediators of immune dysfunction in various pathologies. Prior studies in mouse models have demonstrated that plasma EVs increase following burn injury and contribute to immune dysfunction. Furthermore, EVs have potential as biomarkers for predicting extended hospital stays in burn patients. This study hypothesizes that human EVs, purified early and late after burn injury, will exhibit immune reprogramming effects similar to those observed in mice and that specific EV protein cargo may serve as biomarkers of immune and physiological responses to burn injury.

EVs were isolated from the plasma of burn-injury patients at early (<72h) and late (≥14 days) time points post-injury. Using unbiased immune transcriptome and bioinformatic causal network analyses, the immunomodulatory effects of these EVs were assessed in human THP-1 macrophages. Mass spectrometry-based quantitative proteomics and pathway analyses were conducted to characterize the protein cargo of EVs from both human and mouse models at different post-burn phases.

Early post-burn human EVs induced significant immune reprogramming in macrophages, increasing pro-inflammatory signaling while suppressing anti-inflammatory pathways. In contrast, late post-burn EVs exhibited an immunosuppressive profile, with downregulation of pro-inflammatory pathways and upregulation of anti-inflammatory signaling. Proteomic analyses revealed that human and mouse EVs contained unique and overlapping protein cargo across different time points. At day 7 post-burn, mouse EVs were enriched in circulation/complement and neuronal proteins, whereas by day 14, reductions in membrane and metabolism-associated proteins were observed. Similarly, in human EVs at 14 days post-burn, increased levels of circulation/complement, immune, and transport proteins were detected.

EVs from burn-injury patients at distinct time points differentially modulate immune responses in macrophages, mirroring the temporal immune phenotypes observed in clinical settings. These findings suggest that EV-macrophage interactions play a crucial role in burn-induced immune dysfunction and highlight the potential of EV protein cargo as biomarkers for immune status and patient outcomes following burn injury.

Naturally acquired microchimerism (Mc) is increasingly recognized as an aspect of normal biology. Maternal-fetal bi-directional exchange during pregnancy creates a Mc legacy for the long-term in both individuals. Maternal Mc in her offspring and Mc of fetal origin in women with previous births are best studied. Other sources include from a known or vanished twin, miscarriage or pregnancy termination, older sibling, or previous maternal pregnancy loss. Mc is pleotropic and protean, present in diverse forms, and changing over time as other aspects of biology. Mc acquired from multiple sources, at different lifespan times, and taking on an array of diverse forms, creates a "forward, reverse, and horizontal inheritance" Mc landscape. Mc is found in adaptive and innate immune cells, as resident tissue-specific cells in a wide variety of human tissues, and among other forms as extracellular vesicles. HLA molecules function in a myriad of ways as key determinants for health and are of central importance in interactions between genetically disparate individuals. Studies of autoimmune disease have firmly established a primary role of HLA molecules. Studies of iatrogenic chimerism have established benefit of donor-recipient HLA-disparity against recurrent malignancy after transplantation. HLA molecules and HLA-relationships of families are therefore of particular interest in seeking to understand the role(s) of Mc at the interface of auto-immunity and healthy allo-immunity. This review will begin by providing perspective on Mc in biology followed by a primary focus on persistent Mc according to the human lifespan, in healthy individuals and with illustrative examples of autoimmune diseases.

Burn injuries often lead to severe complications, including acute respiratory distress syndrome (ARDS), driven in part by systemic inflammation and glycocalyx disruption. In this study, we analyzed the sera of 28 patients after burn trauma and utilized single-cell RNA sequencing (scRNA-seq) along with microarray transcriptomic analysis to decipher the impact of burn injury on glycocalyx derangement. We observed the significant upregulation of immune cell-derived degrading enzymes, particularly matrix metalloproteinase-8 (MMP8), which correlated with increased immune cell infiltration and glycocalyx derangement. Serum analyses of burn patients revealed significantly elevated levels of shed glycocalyx components and MMP8, both correlating with the presence of inhalation injury. Consequently, the treatment of human in vitro lung tissue models with MMP8 induced significant glycocalyx shedding in alveolar epithelial cells. Together, based on these findings, we propose that MMP8 plays a previously unrecognized role in glycocalyx disruption and subsequent lung injury post-burn, which implies that inhibiting MMP8 may represent a promising therapeutic strategy for alleviating lung injury after burn trauma.

Neutrophils are key players in innate immunity, forming neutrophil extracellular traps (NETs) to defend against infections. However, excess NET formation is implicated in inflammatory conditions such as sepsis and immunothrombosis. Studying NET formation in isolated neutrophils provides important mechanistic insights but does not reflect the complexity of immune interactions in whole blood, limiting our understanding of neutrophil responses.

This study investigates chromatin accessibility changes using Assay for Transposase-Accessible Chromatin with sequencing (ATAC-Seq) during phorbol 12-myristate 13-acetate (PMA) induced NET formation in whole blood. We compared chromatin accessibility patterns in neutrophils following PMA treatment in isolation and whole blood to assess the impact of other immune cells and signaling environment.

Whole blood PMA stimulation elicited consistent chromatin accessibility changes across donors, demonstrating organized chromatin decondensation during NET formation. The chromatin response was characterized by increased accessibility in genomic regions enriched for immune-specific pathways, highlighting the role of immune cell interactions in NET formation. Differentially accessible regions (DARs) present following PMA induction in whole blood and isolated neutrophils showed greater association with NET-related and inflammatory transcription factors, while DARs specific to isolated neutrophils showed fewer relevant motifs. Pathway analysis indicated that whole blood responses involved more robust activation of immune-specific pathways, such as interleukin and cytokine signaling, compared to isolated neutrophils.

Our findings underscore the importance of studying NET formation within a whole blood environment to capture the complexity of neutrophil responses and immune cell interactions. This understanding is crucial for identifying effective therapeutic targets in NET-associated inflammatory diseases.

Lower respiratory infections, mostly caused by viral or bacterial pathogens, remain a leading global cause of mortality. The differences between animal models and humans contribute to inefficiencies in drug development, highlighting the need for more relevant and predictive, non-animal models. In this context, AlveolAir™, a fully primary in vitro 3D human alveolar model, was characterized and demonstrated the sustained presence of alveolar type I (ATI) and type II (ATII) cells. This model exhibited a functional barrier over a 30-day period, evidenced by high transepithelial electrical resistance (TEER). These findings were further validated by tight junctions' confocal microscopy and low permeability to Lucifer yellow, confirming AlveolAir™ as robust platform for drug transport assays. Additionally, successful infections with H1N1 and SARS-CoV-2 viruses were achieved, and antiviral treatments with Baloxavir and Remdesivir, respectively, effectively reduced viral replication. Interestingly, both viruses infected only the epithelial layer without replicating in endothelial cells. These findings indicate AlveolAir™ as a relevant model for assessing the toxicity and permeability of xenobiotics and evaluating the efficacy of novel antiviral therapies.

The recent advancement of sequencing technologies marks a significant shift in the character and complexity of the digital genomic data universe, encompassing diverse types of molecular data, screened through manifold technological platforms. As a result, a plethora of fully assembled genomes are generated that span vertically the evolutionary scale. Notwithstanding the tsunami of thriving innovations that accomplish unprecedented, nucleotide-level, structural and functional annotation, an exhaustive, systemic, massive genome-wide functional annotation remains elusive, particularly when the criterion is automation and efficiency in data-agnostic interpretation. The latter is of paramount importance for the elaboration of strategies for sophisticated, data-driven genome-wide annotation, which aim to impart a sustainable and comprehensive systemic approach to addressing whole genome variation. Therefore, it is essential to develop methods and tools that promote systematic functional genomic annotation, with emphasis on mechanistic information exceeding the limits of coding regions, and exploiting the chunks of pertinent information residing in non-coding regions, including promoter and enhancer sequences, non-coding RNAs, DNA methylation sites, transcription factor binding sites, transposable elements and more. This review provides an overview of the current state-of-the-art in genome-wide functional annotation of genetic variation, including existing bioinformatic tools, resources, databases and platforms currently available or reported in the literature. Particular emphasis is placed on the functional annotation of variants that lie outside protein-coding genomic regions (intronic or intergenic), their potential co-localization with regulatory element areas, such as putative non-coding RNA regions, and the assessment of their functional impact on the investigated phenotype. In addition, state-of-the-art tools that leverage data obtained from WGS and GWAS-based analyses are discussed, along with future bioinformatics directions and developments. These future directions emphasize efficient, comprehensive, and largely automated functional annotation of both coding and non-coding genomic variants, as well as their optimal evaluation.

Induced pluripotent stem cells (iPSCs) have emerged as powerful tools for in vitro modeling of bone marrow failure (BMF) syndromes and hereditary conditions predisposing to myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). This review synthesizes recent advances in iPSC-based disease modeling for various inherited BMF/MDS disorders, including Fanconi anemia, dyskeratosis congenita, Diamond Blackfan anemia syndrome, Shwachman-Diamond syndrome, and severe congenital neutropenia as well as GATA2, RUNX1, ETV6, ANKRD26, SAMD9, SAMD9L, and ADH5/ALDH2 syndromes. Although the majority of these iPSC lines are derived from patient cells, some are generated by introducing patient-specific mutations into healthy iPSC backgrounds, offering complementary approaches to disease modeling. The review highlights the ability of iPSCs to recapitulate key disease phenotypes, such as impaired hematopoietic differentiation, telomere dysfunction, and defects in DNA repair or ribosome biogenesis. We discuss how these models have enhanced our understanding of disease pathomechanisms, hematopoietic defects, and potential therapeutic approaches. Challenges in generating and maintaining disease-specific iPSCs are examined, particularly for disorders involving DNA repair. We emphasize the necessity of creating isogenic controls to elucidate genotype-phenotype relationships. Furthermore, we address limitations of current iPSC models, including genetic variability among iPSC clones derived from the same patient, and difficulties in achieving robust engraftment of iPSC-derived hematopoietic progenitor cells in mouse transplantation models. The review also explores future directions, including the potential of iPSC models for drug discovery and personalized medicine approaches. This review underscores the significance of iPSC technology in advancing our understanding of inherited hematopoietic disorders and its potential to inform novel therapeutic strategies.

The voltage-gated sodium channel Na V 1.7 plays an important role in pain processing according to genetic data. Those data made Na V 1.7 a popular drug target, especially since its relatively selective expression in nociceptors promised pain relief without the adverse effects associated with broader sodium channel blockade. Despite encouraging preclinical data in rodents, Na V 1.7-selective inhibitors have not yet proven effective in clinical trials. Discrepancies between preclinical and clinical results should raise alarms. We reviewed preclinical and clinical reports on the analgesic efficacy of Na V 1.7-selective inhibitors and found critical differences in several factors. Putting aside species differences, most preclinical studies tested young male rodents with limited genetic variability, inconsistent with the clinical population. Inflammatory pain was the most common preclinical chronic pain model whereas nearly all clinical trials focused on neuropathic pain despite some evidence suggesting Na V 1.7 channels are not essential for neuropathic pain. Preclinical studies almost exclusively measured evoked pain whereas most clinical trials assessed average pain intensity without distinguishing between evoked and spontaneous pain. Nearly all preclinical studies gave a single dose of drug unlike the repeat dosing used clinically, thus precluding preclinical data from demonstrating whether tolerance or other slow processes occur. In summary, preclinical testing of Na V 1.7-selective inhibitors aligned poorly with clinical testing. Beyond issues that have already garnered widespread attention in the pain literature, our results highlight the treatment regimen and choice of pain model as areas for improvement.

Autism spectrum disorder (ASD) is a complex neuro developmental condition characterized by significant genetic and phenotypic variability, making diagnosis and treatment challenging. The heterogeneity of ASD-associated genetic variants and the absence of clear causal factors in many cases complicate personalized care. Traditional models, such as postmortem brain tissue and animal studies, have provided valuable insights but are limited in capturing the dynamic processes and human-specific aspects of ASD pathology. Recent advances in human induced pluripotent stem cell (iPSC) technology have transformed ASD research by enabling the generation of patient-derived neural cells in both two-dimensional cultures and three-dimensional brain organoid models. These models retain the donor's genetic background, allowing researchers to investigate disease-specific cellular and molecular mechanisms while identifying potential therapeutic targets tailored to individual patients. This commentary highlights how stem cell-based approaches are advancing our understanding of ASD and paving the way for more personalized diagnostic and therapeutic strategies.

Osteoporosis is not merely a disease of bone loss but also involves changes in the mineral composition of the bone that remains. In vitro studies have investigated these changes and revealed that estrogen deficiency alters osteoblast mineral deposition, osteocyte mechanosensitivity, and osteocyte regulation of osteoclastogenesis. During healthy bone development, vascular cells stimulate bone mineralization via endochondral ossification, but estrogen deficiency impairs vascularization. Yet, existing in vitro bone models overlook the role of vascular cells in osteoporosis pathology. Thus, here we 1) develop an advanced three-dimensional (3-D) vascularized, mineralized, and humanized bone model following the endochondral ossification process, and 2) apply this model to mimic postmenopausal estrogen withdrawal and provide a mechanistic understanding of changes in vascularization and bone mineralization in estrogen deficiency. We confirmed the successful development of a vascularized and mineralized human bone model via endochondral ossification, which induced the self-organization of vasculature, associated with hypertrophy (collagen X), and promoted mineralization. When the model was applied to study estrogen deficiency, we reported the development of distinct vessel-like structures (CD31+) in the postmenopausal 3-D constructs. Moreover, during estrogen withdrawal vascularized bone demonstrated a significant increase in mineral deposition and apoptosis, which did not occur in nonvascularized bone. These findings reveal a potential mechanism for bone mineral heterogeneity in osteoporotic bone, whereby vascularized bone becomes highly mineralized whereas in nonvascularized regions this effect is not observed.NEW & NOTEWORTHY Here we develop an in vitro three-dimensional (3-D) vascularized and humanized bone model following an endochondral ossification approach. We applied the model to recapitulate estrogen deficiency as representative of the osteoporotic phenotype. The results of this study reveal that estrogen deficiency exacerbates formation of 3-D vessel-like structures in vascularized models and thereby drives mineral deposition.

Translation of biological insights from preclinical studies to human disease is a pressing challenge in biomedical research, including in osteoarthritis. Translatable Components Regression (TransComp-R) is a computational framework that has previously been used to synthesize preclinical and human OA data to identify biological pathways predictive of human disease conditions. We aimed to evaluate the translatability of two common murine models of post-traumatic osteoarthritis - surgical destabilization of the medial meniscus (DMM) and noninvasive anterior cruciate ligament rupture (ACLR) - to transcriptomics cartilage data from human OA outcomes.

Transcriptomics cartilage data of DMM and ACLR mouse and human data was acquired from Gene Expression Omnibus. TransComp-R was used to project human OA data into a mouse model (DMM or ACLR) principal component analysis space. The principal components (PCs) were regressed against human OA conditions using increasing complexity of linear regression models incorporating human demographic covariates of OA, sex, and age. Biological pathways of the mouse PCs that significantly stratified human OA and control groups were then interpreted using Gene Set Enrichment Analysis.

From the TransComp-R model, we identified different enriched biological pathways across DMM and ACLR models. While PCs among the DMM models revealed pathways associated with cell signaling and metabolism, ACLR PCs represented immune function and cellular pathways associated with OA condition. The immune pathways presented in the ACLR further highlighted the potential relevance of the OA pathways observed in human conditions.

The ACLR mouse model more successfully predicted human OA conditions, particularly with the human control groups without a history of joint injury or disease. Cross-species translational approaches support the selection of preclinical models intended for therapeutic discovery and pathway analysis in humans.

Translational science and implementation science are two disciplines that integrate scientific findings into practice within healthcare. One method to assess the integration of these fields is to review the academic crossover between the disciplines with respect to shared citations in the peer-reviewed literature.

This paper used direct citation network analysis to identify potential conceptual gaps and connections between the literature in implementation science and translational science. Bibliographic references were downloaded from Web of Science to create directed citation network maps in VosViewer. Heat maps visualized the top cited literature in each field.

A literature search yielded 6,111 publications in translational science and 7,003 publications in implementation science. When all publications were combined in a directed citation network map, two separate groups of publications emerged, representing the two fields of implementation science and translational science. When the top 50 cited translational science publications were combined with implementation science publications, 14% had a 100%+ increase in citation links, 44% had a mean increase of 2.4%, and 42% shared no links. When the top 50 cited implementation science publications were combined with translational science publications, 2% had a 100%+ increase in citation links, 92% had a 3.3% mean increase, and 6% had no shared links.

Results suggest moderate academic overlap in the way published authors cite each other between translational science and implementation science. We hope the implications of this paper may promote continued collaborations between these fields to disseminate lessons learned and bridge research into practice more efficiently.

Postoperative adhesions frequently occur following abdominal surgical interventions, leading to serious morbidities and requiring new therapeutic strategies. The development of new therapeutic agents to reduce postoperative adhesions needs animal models that closely mirror human pathophysiology. In this study, we established a novel surgical adhesion model in cynomolgus monkeys, which are characteristically similar to humans. Our model reliably and reproducibly developed adhesions. Histopathological analyses revealed that monkeys undergoing our novel surgery method exhibited changes consistent with those in monkeys that underwent open abdominal surgery. Furthermore, the cellular components of the adhesion tissue in our monkey model reflected those reported in human adhesion tissue. Furthermore, time-course transcriptomic analyses showed that our model accurately recapitulates the well-known progression cascade of postoperative adhesions. In addition, it identified the upregulation of gene that is absent in rodents. We expect our novel surgical method to be a promising tool for elucidating the detailed biology of postoperative adhesions and for assessing new therapeutic treatments with high translatability to human biology.

Microfluidic technology plays a crucial role in organ-on-a-chip (OoC) systems by replicating human physiological processes and disease states, significantly advancing biomedical research and drug discovery. This article reviews the design and fabrication processes of microfluidic devices. It also explores how these technologies are integrated into OoC platforms to simulate human physiological environments, highlighting key principles, technological advances, and diverse applications. Through case studies involving the simulation of multiple organs such as the heart, liver, and lungs, the article evaluates the impact of OoC systems' integrated microfluidic technology on drug screening, toxicity assessment, and personalized medicine. In addition, this article considers technical challenges, ethical issues, and future directions, and looks ahead to further optimizing the functionality and biomimetic precision of OoCs through innovation, emphasizing its critical role in promoting personalized medicine and precision treatment strategies.

Autoimmune neurology is a rapidly expanding field driven by the discovery of neuroglial autoantibodies and encompassing a myriad of conditions affecting every level of the nervous system. Traditionally, autoantibodies targeting intracellular antigens are considered markers of T cell-mediated cytotoxicity, while those targeting extracellular antigens are viewed as pathogenic drivers of disease. However, recent advances highlight complex interactions between these immune mechanisms, suggesting a continuum of immunopathogenesis. The breakdown of immune tolerance, central to these conditions, is affected by modifiable and non-modifiable risk factors such as genetic predisposition, infections, and malignancy. While significant therapeutic advancements have revolutionized treatment of certain diseases, such as neuromyelitis optica, our understanding of many others, particularly T cell-mediated conditions, remains limited, with fewer treatment options available. Future research should focus on improving effector function modeling and deepening our understanding of the factors influencing immune tolerance, with the goal of providing novel treatment options and improving patient care.

Ultraviolet (UV) filters, the active ingredients in sunscreens, have been used for several decades to reduce the risk of acute and chronic damage to the skin from solar UV radiation, which can lead to skin cancer. Based on recent clinical studies showing that certain UV filters are absorbed systemically at low levels in humans, the US Food and Drug Administration (FDA) has requested supplementing existing safety data with preclinical studies including oral and dermal 2-year rodent carcinogenicity studies. Although the conduct of 2-year rodent carcinogenicity studies has been the standard approach for evaluating the carcinogenic potential of chemicals and new drugs for approximately 6 decades, there are multiple examples showing that such studies are not predictive of human cancer risk. Given these concerns with 2-year rodent carcinogenicity studies, we have developed and applied an alternative approach for supplementing existing data related to carcinogenic potential for six of the most commonly used UV filters in sunscreen products (i.e. avobenzone, ensulizole, homosalate, octinoxate, octisalate, and octocrylene). This approach evaluates their mode of action (MOA) based on in vivo, in vitro, and in silico data combined with an assessment of exposure margins. This approach is based on the substantial progress in understanding the MOAs that are responsible for tumor induction in humans. It is consistent with those being developed by the International Council for Harmonization (ICH) and other health authorities to replace 2-year carcinogenicity studies given their limitations and questionable biological relevance to humans. The available data for the six UV filters show that they are not genotoxic and show no evidence of biologically relevant carcinogenic MOAs. Furthermore, their systemic exposure levels in humans fall well below concentrations at which they have biologic activity. In conclusion, these data support the continued safe use of these six filters in sunscreen products.

Macrophages are members of the human innate immune system, and the majority reside in the liver. In recent years, they have been recognized as essential players in the maintenance of liver and intestinal homeostasis as well as key guardians of their respective immune systems, and they are increasingly being recognized as such. Paradoxically, they are also likely involved in chronic pathologies of the gastrointestinal tract and potentially in the alteration of the gut-liver axis in alcohol use disorder (AUD) and alcohol-associated liver disease (ALD). To date, the causal relationship between macrophages, the pathogenesis of ALD, and the immune dysregulation of the gut remains unclear. In this review, we will discuss our current understanding of the heterogeneity of intestinal and hepatic macrophages, their ontogeny, the potential factors that regulate their origin, and the evidence of how they are associated with the manifestation of chronic inflammation. We will also illustrate how the micro-environment of the intestine shapes the phenotypes and functionality of the macrophage compartment in both the intestines and liver and how they change during chronic alcohol abuse. Finally, we highlight the obstacles to current research and the prospects for this field.

Oral research using murine models spans a broad spectrum of studies, including investigations into oral infections such as periodontitis and peri-implantitis, wound healing, periodontal responses to orthodontic treatment, and occlusal overload. This review aims to provide a comprehensive overview of murine models employed in oral research, with a particular focus on their relevance in studying systemic implications, including cardiovascular diseases (CVDs). The objectives of this review are twofold: first, to highlight the diversity of experimental methods utilized in murine oral research, such as ligature placement, bacterial inoculation, surgical interventions, and mechanical manipulations; second, to explore how these models enhance our understanding of oral-systemic interactions. The findings demonstrate that murine models have significantly contributed to uncovering how oral conditions influence systemic health. Models of oral infections reveal pathways linking systemic inflammation, endothelial dysfunction, and atherogenesis, while studies on wound healing and mechanical stress offer valuable insights into periodontal tissue responses and regeneration under various conditions. These diverse findings underscore the versatility of murine models in addressing key questions across oral health research. By replicating human disease mechanisms, murine models serve as powerful tools for investigating the interplay between oral health and systemic diseases, including cardiovascular dysfunction. The insights gained from these models guide the development of integrated therapeutic approaches aimed at mitigating systemic inflammation and promoting periodontal regeneration.