Published online Nov 19, 2026. doi: 10.5498/wjp.124306
Revised: July 30, 2026
Accepted: September 24, 2026
Published online: November 19, 2026
Processing time: 140 Days and 17.7 Hours
Depression is a major psychiatric disorder with substantial clinical and social bur
To investigate global research trends, collaboration patterns, knowledge structure, and emerging hotspots of ferroptosis- and pyroptosis-related research in depre
Relevant publications through June 2, 2026 were retrieved from the Web of Scien
Publications on pyroptosis in depression emerged earlier and increased steadily, whereas research on ferroptosis in depression began later but expanded rapidly in recent years. China and the United States were the leading contributors to both research areas, although ferroptosis-related publications showed a greater concentration in China. International Journal of Molecular Sciences was the most productive journal in the ferroptosis dataset, while International Immunopharmacology led the pyroptosis dataset. Keyword analysis highlighted oxidative stress, iron metabolism, lipid peroxidation, neuroinflammation, NOD-like receptor family pyrin domain-containing 3 inflammasome signaling, microglial activation, and pathway-targeted interventions as major research themes. Although the 2 fields shared several pathological contexts, publications directly investigating their interactions in depression were relatively scarce.
Ferroptosis and pyroptosis have become increasingly important topics in depression research, with ferroptosis representing a particularly rapidly developing area. Current studies largely focus on oxidative and inflammatory mechanisms and their potential therapeutic targets. However, the limited integration of ferroptosis and pyroptosis research indicates a need for further studies examining their potential crosstalk and coordinated contribution to the pathophysiology of depression.
Core Tip: This bibliometric analysis maps the global research landscape of ferroptosis- and pyroptosis-related mechanisms in depression. Pyroptosis-related research emerged earlier, whereas ferroptosis-related research has increased rapidly in recent years. Oxidative stress, neuroinflammation, iron metabolism, mitochondrial dysfunction, and targeted interventions are major themes. The findings identify leading contributors, evolving hotspots, and the need for integrated mechanistic and clinical studies to evaluate regulated cell death pathways as potential biomarkers and therapeutic targets for depression.
- Citation: Yasen A, Gan ZD, Huang MP, Zhang XY, Hou RT, Zhen D, Xu GX, Wei CH. Research trends of ferroptosis and pyroptosis in depression: A bibliometric analysis. World J Psychiatry 2026; 16(11): 124306
- URL: https://www.wjgnet.com/2220-3206/full/v16/i11/124306.htm
- DOI: https://dx.doi.org/10.5498/wjp.124306
Depression is a psychiatric disorder characterized primarily by persistent low mood, diminished interest, and anhedonia and is frequently accompanied by cognitive impairment, sleep disturbances, and an increased risk of suicide[1]. Accor
Traditionally, research on the pathophysiological mechanisms of depression has primarily focused on theories involving monoaminergic neurotransmitter dysfunction, neuroendocrine abnormalities, and deficiencies in neurotrophic factors[4]. However, the neuroinflammation hypothesis of depression has gained increasing attention[5]. Accumulating evidence indicates that patients with depression exhibit significantly elevated levels of pro-inflammatory cytokines in both peripheral blood and the central nervous system, while chronic stress can activate microglia in the brain, trigger inflammatory cascades, and subsequently impair neuronal function and synaptic plasticity[6]. Nevertheless, the upstream drivers and downstream effector mechanisms of neuroinflammation remain incompletely understood. In recent years, dysregulated programmed cell death (PCD) has been increasingly recognized as being closely associated with the onset and progression of depression. Multiple PCD pathways, including apoptosis, autophagy, ferroptosis, and pyroptosis, have been shown to play critical roles in the pathological process of depression[7]. These findings not only provide a new cellular-level perspective for understanding the pathogenesis of depression but also open new avenues for the develop
Ferroptosis, first defined in 2012, is a form of iron-dependent PCD characterized primarily by excessive intracellular iron accumulation and the buildup of lipid peroxidation products, ultimately leading to disruption of membrane integrity and cell death[8]. Unlike apoptosis, ferroptosis is morphologically characterized by mitochondrial shrinkage, reduced cristae, and increased membrane density, while biochemically it is driven by inactivation of the glutathione peroxidase 4 (GPX4) system and acyl-CoA synthetase long-chain family member 4–mediated lipid peroxidation[9]. In recent years, the relationship between ferroptosis and depression has attracted increasing attention. Studies have shown that patients with depression exhibit elevated iron levels, reduced glutathione content, and increased production of malondialdehyde and reactive oxygen species (ROS) in brain tissue, suggesting aberrant activation of the ferroptosis pathway during the pathological process underlying depressive-like behaviors[10]. In animal models of depression induced by chronic social defeat stress, GPX4 expression in the hippocampus is downregulated, whereas acyl-CoA synthetase long-chain family member 4 expression is upregulated, and targeted inhibition of ferroptosis has been shown to significantly ameliorate depressive-like behaviors[11]. Mechanistically, lipid peroxidation damage mediated by Fenton reactions triggered by disordered iron metabolism not only directly compromises neuronal membrane integrity but also further amplifies the vicious cycle between oxidative stress and mitochondrial dysfunction, thereby forming a pathogenic “ferroptosis-mitochon
Another form of PCD that has attracted increasing attention alongside ferroptosis is pyroptosis. Pyroptosis is a pro-inflammatory mode of cell death mediated by inflammasome activation and is characterized molecularly by the assembly of the NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome, activation of caspase-1, and gasdermin D-mediated membrane pore formation, ultimately resulting in the extracellular release of large amounts of pro-inflammatory cytokines, such as interleukin (IL)-1β and IL-18, and triggering robust inflammatory responses[13]. In the pathological context of depression, chronic social defeat stress can induce excessive activation of the NLRP3 inflammasome in microglia, thereby initiating the pyroptotic cascade. This process not only directly damages neurons and synaptic structures but also promotes the release of large quantities of inflammatory mediators, impairs neurogenesis and synaptic plasticity, and drives dysfunction in emotion-related brain regions such as the prefrontal cortex and hippo
Notably, although ferroptosis and pyroptosis are classified as distinct forms of PCD, they are not isolated pathological events but rather exhibit complex interactions and synergistic effects. Emerging evidence suggests that both ferroptosis and pyroptosis contribute to depression and cognitive decline and are closely associated with reduced levels of brain-derived neurotrophic factor[16]. More importantly, there is substantial crosstalk between the signaling pathways of ferroptosis and pyroptosis: Oxidative stress serves not only as a core driver of ferroptosis but also as a key upstream signal for NLRP3 inflammasome activation, while mitochondrial dysfunction is involved in the pathogenesis of both processes[17]. Although the interplay between ferroptosis and pyroptosis has been reported in tumors, their interactive mechanisms in neurological disorders, particularly depression, remain insufficiently studied[18]. This gap highlights the importance of integrating ferroptosis and pyroptosis into a unified analytical framework to achieve a more comprehensive understanding of the cell death-related pathological mechanisms underlying depression.
In recent years, bibliometrics, as a research tool that quantitatively analyzes scientific literature using mathematical and statistical methods, has been widely applied in the biomedical field to assess research landscapes, identify emerging hotspots, and predict future trends. Bibliometric analysis can systematically reveal the knowledge structure, developmental trajectory, and collaboration networks of a given research field, thereby providing researchers with intuitive and reliable quantitative evidence for tracking disciplinary dynamics and recognizing emerging directions[19]. In the field of depression research, bibliometric methods have already been used to analyze multiple topics, including the roles of microglia and astrocytes in depression, as well as the association between the gut microbiota and depression[20]. How
Based on the aforementioned research background, this study employed bibliometric methods to systematically re
All data were obtained from the Science Citation Index Expanded of the WoSCC database. The following search strategy was used: #1 TS = depression*, #2 TS = ferropto*, and #3 TS = pyropto* OR inflammasome. Searches were then con
Two investigators independently screened the titles and abstracts of records retrieved for the pyroptosis dataset. Studies addressing inflammasome activation alone, without evidence of pyroptotic cell death or discussion of pyroptosis-related execution mechanisms (e.g., gasdermin-mediated membrane pore formation, cell membrane rupture, or pyrop
Bibliometric and visual analyses were performed using VOSviewer 1.6.19 and CiteSpace 6.2.R5. VOSviewer focuses primarily on the graphical representation of bibliometric networks and was used to visualize collaborations among countries/regions, institutions, authors, and journals, as well as author co-citation, journal and reference co-citation, and keyword co-occurrence. CiteSpace, which is more specialized in detecting emerging trends and extracting forward-looking information from the literature, was used for burst detection of references, dual-map overlay analysis of journals, keyword clustering analysis, and timeline analysis.
The annual number of publications reflects the research trends in a given field. As shown in Figure 2, publications in the broader pyroptosis/inflammasome-related depression dataset appeared earlier than ferroptosis-related publications. The earliest retrieved record was published in 2010 and discussed the P2X purinoceptor 7 receptor as a potential mediator of inflammatory responses in psychiatric and neurological disorders. However, this article should be interpreted as part of the early P2X purinoceptor 7 receptor- and inflammation-related literature rather than as direct evidence of pyroptosis in depression. A more authoritative early reference linking psychological stress, depression, and inflammasome signaling was published by Iwata et al[21] in 2013. This review provided an important conceptual framework for subsequent research on inflammasome-related mechanisms in depression.
The first study on “ferroptosis in depression” was published in 2019. This study investigated the effects of pre-lesioning noradrenergic neurons in the locus coeruleus in acetaminophen- and paraquat-induced Parkinson’s disease mouse models, revealing that injury to these neurons significantly aggravated depressive-like behavior and memory impairment. It further demonstrated that learning and memory deficits were mediated by enhanced ferroptosis and microglial M1 polarization, thereby highlighting the potential contribution of locus coeruleus neuronal damage to depression[22].
Subsequently, studies in both fields gradually began to emerge. Before 2015, publication output in both fields was very low, indicating that research on ferroptosis and pyroptosis in depression was still at an early stage. From 2015 to 2026, pyroptosis-related publications increased gradually and steadily. By contrast, ferroptosis-related publications grew ra
A total of 21 and 61 countries/regions participated in research on “ferroptosis in depression” and “pyroptosis in depre
| Type | Rank | Country | Documents | Citations | Total link strength |
| Ferroptosis in depression | 1 | China | 139 | 3157 | 21 |
| 2 | United States | 12 | 722 | 14 | |
| 3 | Germany | 3 | 144 | 1 | |
| 4 | Australia | 2 | 6 | 7 | |
| 5 | South Korea | 2 | 18 | 2 | |
| 6 | Malaysia | 2 | 41 | 1 | |
| 7 | Egypt | 2 | 10 | 0 | |
| 8 | Brazil | 1 | 6 | 6 | |
| 9 | Bulgaria | 1 | 6 | 6 | |
| 10 | Cameroon | 1 | 6 | 6 | |
| Pyroptosis in depression | 1 | China | 579 | 20211 | 58 |
| 2 | United States | 96 | 11770 | 74 | |
| 3 | Italy | 30 | 4106 | 27 | |
| 4 | India | 28 | 533 | 12 | |
| 5 | Canada | 25 | 1455 | 21 | |
| 6 | Brazil | 25 | 1188 | 13 | |
| 7 | England | 22 | 1064 | 30 | |
| 8 | Australia | 20 | 1320 | 25 | |
| 9 | Germany | 20 | 1364 | 17 | |
| 10 | Spain | 19 | 1145 | 20 |
A total of 271 and 1185 institutions participated in research on “ferroptosis in depression” and “pyroptosis in depre
| Type | Rank | Institution | Documents | Citations | Total link strength |
| Ferroptosis in depression | 1 | Guangzhou University of Chinese Medicine | 7 | 69 | 22 |
| 2 | Nanchang University | 6 | 87 | 8 | |
| 3 | Harbin Medical University | 6 | 61 | 0 | |
| 4 | Jinan University | 5 | 128 | 15 | |
| 5 | Henan University of Chinese Medicine | 5 | 37 | 10 | |
| 6 | Soochow University | 5 | 230 | 9 | |
| 7 | Beijing University of Chinese Medicine | 5 | 131 | 8 | |
| 8 | Zhengzhou University | 4 | 41 | 9 | |
| 9 | Kunming Medical University | 4 | 777 | 8 | |
| 10 | Gannan Medical University | 4 | 48 | 7 | |
| Pyroptosis in depression | 1 | Nanjing University of Chinese Medicine | 26 | 2212 | 18 |
| 2 | Beijing University of Chinese Medicine | 25 | 458 | 25 | |
| 3 | Huazhong University of Science and Technology | 23 | 932 | 19 | |
| 4 | Fudan University | 21 | 1308 | 15 | |
| 5 | Nanjing Medical University | 17 | 1109 | 19 | |
| 6 | China Pharmaceutical University | 17 | 1825 | 8 | |
| 7 | Shanghai Jiao Tong University | 16 | 693 | 23 | |
| 8 | Capital Medical University | 16 | 678 | 13 | |
| 9 | Chongqing Medical University | 16 | 903 | 5 | |
| 10 | Shanghai University of Traditional Chinese Medicine | 15 | 313 | 19 |
Figure 4 presents the collaboration networks among institutions in the 2 research areas. Figure 4A and B illustrate the collaboration networks among institutions in the fields of “ferroptosis in depression” and “pyroptosis in depression,” respectively. Guangzhou University of Chinese Medicine and Nanjing University of Chinese Medicine showed the highest centrality in the ferroptosis and pyroptosis networks, respectively. This suggests that they occupied relatively central positions within their respective institutional collaboration networks. However, institutional cooperation still exhibited clear geographical limitations. Therefore, to achieve greater breakthroughs in these 2 fields, it is strongly recommended that regional and disciplinary barriers be overcome and broader collaboration and academic exchange among research institutions be promoted.
A total of 1146 and 5330 authors contributed to publications on “ferroptosis in depression” and “pyroptosis in depre
| Type | Rank | Author | Documents | Citations | Total link strength | Co-cited author | Citations |
| Ferroptosis in depression | 1 | Luo Qiang | 5 | 53 | 29 | Dixon SJ | 73 |
| 2 | Ren Peng | 4 | 48 | 28 | Wang Y | 58 | |
| 3 | Zhao Yulong | 4 | 48 | 28 | Stockwell BR | 43 | |
| 4 | Zhou Junjie | 4 | 48 | 28 | Yang WS | 37 | |
| 5 | Zhao Xiujuan | 4 | 51 | 20 | Chen X | 35 | |
| 6 | Wang Jing | 4 | 38 | 13 | Jiao HY | 34 | |
| 7 | Li Xue | 3 | 13 | 24 | Dang RZ | 34 | |
| 8 | Wu Xiaoyun | 3 | 13 | 24 | Li J | 33 | |
| 9 | Yao Ranqi | 3 | 51 | 20 | Doll S | 30 | |
| 10 | Yu Ziran | 3 | 51 | 20 | Cao H | 29 | |
| Pyroptosis in depression | 1 | Zhang Yi | 16 | 976 | 22 | Alcocer-Gomez E | 385 |
| 2 | Jiang Chunlei | 11 | 937 | 28 | Zhang Y | 338 | |
| 3 | Jiang Pei | 10 | 602 | 4 | Maes M | 239 | |
| 4 | Wang Wei | 9 | 368 | 10 | Iwata M | 203 | |
| 5 | Hu Gang | 9 | 1333 | 8 | Pan Y | 189 | |
| 6 | Lu Ming | 8 | 882 | 8 | Miller AH | 188 | |
| 7 | Su Wenjun | 7 | 524 | 20 | Kaufmann FN | 134 | |
| 8 | Yu Jin | 7 | 883 | 8 | Willner P | 123 | |
| 9 | Xiao Ling | 7 | 207 | 5 | Li Y | 107 | |
| 10 | Yang Yang | 7 | 138 | 3 | Liu Y | 103 |
Figure 5A and B illustrate the collaboration networks among authors in the fields of “ferroptosis in depression” and “pyroptosis in depression,” respectively. Different colors represent different collaboration clusters, and the lines between nodes indicate the strength of collaboration. These clusters reveal the major collaborative relationships and researchers in each field. In the “ferroptosis in depression” field, 4 major collaboration clusters were identified, among which the red cluster included Luo Qiang, Ren Peng, Zhou Junjie, and Wu Xiaoyun. In the “pyroptosis in depression” field, 6 collaboration clusters were formed, with the most influential cluster led by Zhang Yi and Jiang Chun-Lei, both of whom were also among the most productive authors. This indicates that a relatively stable collaborative network has been established among the major contributors in this field. However, most author collaborations were still largely confined within China, suggesting that international communication and collaboration among researchers from different countries should be further strengthened to generate higher-quality academic outputs in these fields.
In addition, 9147 and 33587 co-cited authors were identified in publications related to “ferroptosis in depression” and “pyroptosis in depression,” respectively. In the field of “ferroptosis in depression,” Dixon SJ ranked first with 73 co-citations, followed by Wang Y (n = 58) and Stockwell BR (n = 43) (Figure 5C). In the field of “pyroptosis in depression,” the top 3 most co-cited authors were Alcocer-Gómez E (385 co-citations), followed by Zhang Y (n = 338) and Maes M (n = 239) (Figure 5D). Meanwhile, Zhang Y ranked among the top 10 in both publication output and co-citation frequency, underscoring his important role and influence as a core leader in this field.
A total of 95 and 297 academic journals published articles in the fields of “ferroptosis in depression” and “pyroptosis in depression,” respectively. The top 10 journals with the highest publication output and the top 10 most co-cited journals in these 2 fields are listed in Table 4. International Journal of Molecular Sciences (n = 9, impact factor = 4.9) and International Immunopharmacology (n = 43, impact factor = 4.7) ranked first in publication output in the fields of “ferroptosis in depre
| Type | Rank | Journal | Frequency | Citations | IF (2025) | JCR | Co-cited journal | Citations | IF (2025) | JCR |
| Ferroptosis in depression | 1 | International Journal of Molecular Sciences | 9 | 346 | 4.9 | Q1 | International Journal of Molecular Sciences | 242 | 4.9 | Q1 |
| 2 | Phytomedicine | 6 | 67 | 8.3 | Q1 | Frontiers in Pharmacology | 190 | 4.7 | Q1 | |
| 3 | Journal of Ethnopharmacology | 5 | 184 | 5.4 | Q1 | Cell | 187 | 42.5 | Q1 | |
| 4 | Free Radical Biology and Medicine | 5 | 28 | 8.2 | Q1 | Journal of Neuroinflammation | 167 | 10.1 | Q1 | |
| 5 | Frontiers in Neuroscience | 4 | 48 | 3.2 | Q2 | Free Radical Biology and Medicine | 165 | 8.2 | Q1 | |
| 6 | Molecular Neurobiology | 4 | 61 | 4.3 | Q2 | Journal of Ethnopharmacology | 160 | 5.4 | Q1 | |
| 7 | Antioxidants | 4 | 254 | 6.6 | Q1 | Redox Biology | 148 | 11.9 | Q1 | |
| 8 | Redox Biology | 4 | 199 | 11.9 | Q1 | Biomedicine & Pharmacotherapy | 139 | 7.5 | Q1 | |
| 9 | Frontiers in Immunology | 4 | 395 | 5.9 | Q1 | Molecular Neurobiology | 139 | 4.3 | Q2 | |
| 10 | Behavioural Brain Research | 3 | 72 | 2.3 | Q2 | Oxidative Medicine and Cellular Longevity | 136 | 6.1 | Q1 | |
| Pyroptosis in depression | 1 | International Immunopharmacology | 43 | 1152 | 4.7 | Q1 | Brain, Behavior, and Immunity | 2174 | 7.6 | Q1 |
| 2 | Brain, Behavior, and Immunity | 27 | 2987 | 7.6 | Q1 | Journal of Neuroinflammation | 1471 | 10.1 | Q1 | |
| 3 | International Journal of Molecular Sciences | 27 | 1101 | 4.9 | Q1 | Molecular Psychiatry | 1069 | 10.1 | Q1 | |
| 4 | Frontiers in Pharmacology | 26 | 654 | 4.7 | Q1 | International Journal of Molecular Sciences | 998 | 4.9 | Q1 | |
| 5 | Journal of Neuroinflammation | 22 | 2999 | 10.1 | Q1 | Nature | 932 | 49.5 | Q1 | |
| 6 | Behavioural Brain Research | 17 | 745 | 2.3 | Q2 | Biological Psychiatry | 879 | 9.0 | Q1 | |
| 7 | Molecular Neurobiology | 17 | 546 | 4.3 | Q2 | Behavioural Brain Research | 853 | 2.3 | Q2 | |
| 8 | Phytomedicine | 14 | 190 | 8.3 | Q1 | Journal of Neuroscience | 803 | 4.8 | Q1 | |
| 9 | Frontiers in Immunology | 14 | 543 | 5.9 | Q1 | Proceedings of the National Academy of Sciences of the United States of America | 785 | 13.1 | Q1 | |
| 10 | Scientific Reports | 12 | 403 | 4.9 | Q1 | Frontiers in Pharmacology | 706 | 4.7 | Q1 |
Meanwhile, co-citation analysis showed that the most frequently co-cited journals in the fields of “ferroptosis in depression” and “pyroptosis in depression” were International Journal of Molecular Sciences (n = 242) and Brain, Behavior, and Immunity (n = 2174), respectively (Figure 6C and D). This suggests that these journals occupy prominent positions within the citation networks of the corresponding research areas. However, citation frequency should be interpreted cautiously because it may be influenced by publication time, database coverage, and disciplinary citation practices. Among the top 10 journals ranked by publication output and co-citation frequency, most were classified as Journal Citation Reports (JCR) Q1, with Nature having the highest impact factor of 49.5. However, journal impact factor and co-citation frequency should be interpreted as bibliometric characteristics rather than direct measures of article quality or clinical relevance.
The dual-map overlay of journals (Figure 7) was generated using CiteSpace, illustrating the disciplinary distribution of journals and their citation relationships. In this map, the left side represents clusters of citing journals, the right side represents clusters of cited journals, and the colored paths indicate citation trajectories between disciplines. The analysis identified a prominent orange citation path, indicating that studies on “ferroptosis in depression” and “pyroptosis in depression” were mainly published in journals related to molecular biology, immunology, and clinical medicine, such as International Journal of Molecular Sciences, Brain, Behavior, and Immunity, Journal of Neuroinflammation, and Frontiers in Pharmacology. These studies were primarily supported by and cited literature published in high-impact journals in psychiatry, neuroscience, and multidisciplinary science, such as Molecular Psychiatry, Biological Psychiatry, Journal of Neuroscience, and PNAS. This finding suggests that research in this field has a marked interdisciplinary nature, requiring collaborative efforts across molecular mechanisms, neuroimmunology, and psychiatry.
Co-cited references refer to 2 or more publications that are cited together by a subsequent article, thereby forming a co-citation relationship. Table 5 presents detailed information on the top 10 most co-cited references in the 2 fields. As shown in Figure 8A, the article entitled “Ferroptosis: An Iron-Dependent Form of Nonapoptotic Cell Death,” published in Cell by Dixon et al[8], was the most frequently co-cited reference in the field of “ferroptosis in depression.” This study introduced ferroptosis as an iron-dependent form of regulated cell death that is distinct from apoptosis, necrosis, and autophagy. It subsequently became a frequently co-cited foundational reference in the ferroptosis dataset. It was followed by the article by Jiao et al[23], published in Neuropsychiatric Disease and Treatment, entitled “Traditional Chinese Formula Xiaoyaosan Alleviates Depressive-Like Behavior in CUMS Mice by Regulating PEBP1-GPX4-Mediated Ferroptosis in the Hippocam
| Type | Rank | Reference | Citations | Title | DOI | Source |
| Ferroptosis in depression | 1 | Dixon SJ (2012) | 61 | Ferroptosis: An iron-dependent form of nonapoptotic cell death | 10.1016/j.cell.2012.03.042 | Cell |
| 2 | Jiao H (2021) | 34 | Traditional Chinese formula Xiaoyaosan alleviates depressive-like behavior in CUMS mice by regulating PEBP1-GPX4-mediated ferroptosis in the hippocampus | 10.2147/NDT.S302443 | Neuropsychiatric Disease and Treatment | |
| 3 | Dang R (2022) | 34 | Edaravone ameliorates depressive and anxiety-like behaviors via Sirt1/Nrf2/HO-1/Gpx4 pathway | 10.1186/s12974-022-02400-6 | Journal of Neuroinflammation | |
| 4 | Stockwell BR (2017) | 26 | Ferroptosis: A regulated cell death nexus linking metabolism, redox biology, and disease | 10.1016/j.cell.2017.09.021 | Cell | |
| 5 | Cao H (2021) | 25 | Hippocampal proteomic analysis reveals activation of necroptosis and ferroptosis in a mouse model of chronic unpredictable mild stress-induced depression | 10.1016/j.bbr.2021.113261 | Behavioural Brain Research | |
| 6 | Jiang X (2021) | 23 | Ferroptosis: Mechanisms, biology and role in disease | 10.1038/s41580-020-00324-8 | Nature Reviews Molecular Cell Biology | |
| 7 | Wang X (2023) | 22 | Saikosaponin B2 ameliorates depression-induced microglia activation by inhibiting ferroptosis-mediated neuroinflammation and ER stress | 10.1016/j.jep.2023.116729 | Journal of Ethnopharmacology | |
| 8 | Wang Y (2021) | 17 | Hydrogen sulfide alleviates the anxiety-like and depressive-like behaviors of type 1 diabetic mice via inhibiting inflammation and ferroptosis | 10.1016/j.lfs.2021.119551 | Life Sciences | |
| 9 | Wang L (2023) | 17 | Targeting the ferroptosis crosstalk: Novel alternative strategies for the treatment of major depressive disorder | 10.1136/gpsych-2023-101072 | General Psychiatry | |
| 10 | Doll S (2019) | 16 | FSP1 is a glutathione-independent ferroptosis suppressor | 10.1038/s41586-019-1707-0 | Nature | |
| Pyroptosis in depression | 1 | Alcocer-Gómez E (2014) | 189 | NLRP3 inflammasome is activated in mononuclear blood cells from patients with major depressive disorder | 10.1016/j.bbi.2013.10.017 | Brain, Behavior, and Immunity |
| 2 | Pan Y (2014) | 166 | Microglial NLRP3 inflammasome activation mediates IL-1β-related inflammation in prefrontal cortex of depressive rats | 10.1016/j.bbi.2014.04.007 | Brain, Behavior, and Immunity | |
| 3 | Kaufmann FN (2017) | 130 | NLRP3 inflammasome-driven pathways in depression: Clinical and preclinical findings | 10.1016/j.bbi.2017.03.002 | Brain, Behavior, and Immunity | |
| 4 | Miller AH (2016) | 102 | The role of inflammation in depression: From evolutionary imperative to modern treatment target | 10.1038/nri.2015.5 | Nature Reviews Immunology | |
| 5 | Iwata M (2013) | 99 | The inflammasome: Pathways linking psychological stress, depression, and systemic illnesses | 10.1016/j.bbi.2012.12.008 | Brain, Behavior, and Immunity | |
| 6 | Zhang Y (2015) | 98 | NLRP3 inflammasome mediates chronic mild stress-induced depression in mice via neuroinflammation | 10.1093/ijnp/pyv006 | International Journal of Neuropsychopharmacology | |
| 7 | Zhang Y (2014) | 95 | Involvement of inflammasome activation in lipopolysaccharide‐induced mice depressive‐like behaviors | 10.1111/cns.12170 | CNS Neuroscience & Therapeutics | |
| 8 | Iwata M (2016) | 92 | Psychological stress activates the inflammasome via release of adenosine triphosphate and stimulation of the purinergic type 2X7 receptor | 10.1016/j.biopsych.2015.11.026 | Biological Psychiatry | |
| 9 | Xu Y (2016) | 82 | NLRP3 inflammasome activation mediates estrogen deficiency-induced depression-and anxiety-like behavior and hippocampal inflammation in mice | 10.1016/j.bbi.2016.02.022 | Brain, Behavior, and Immunity | |
| 10 | Yue N (2017) | 79 | Activation of P2X7 receptor and NLRP3 inflammasome assembly in hippocampal glial cells mediates chronic stress-induced depressive-like behaviors | 10.1186/s12974-017-0865-y | Journal of Neuroinflammation |
As shown in Figure 8B, the article by Alcocer-Gómez et al[26], published in Brain, Behavior, and Immunity, entitled “NLRP3 inflammasome is activated in mononuclear blood cells from patients with major depressive disorder,” was the most frequently co-cited reference in the analyzed dataset related to “pyroptosis in depression.” This study reported NLRP3 inflammasome activation in peripheral blood mononuclear cells from patients with major depressive disorder. It also described associations between depressive status and caspase-1-dependent inflammatory signaling, including IL-1β and IL-18 release. It therefore provided important evidence for the involvement of pyroptosis and inflammasome acti
Emerging references are those that experience a sharp increase in citation frequency over a short period, thereby reflecting research hotspots and frontier trends during a specific time frame. Figure 8C and D present the top 20 refe
In the field of “pyroptosis in depression,” the article by Alcocer-Gómez et al[26], published in Brain, Behavior, and Immunity, entitled “NLRP3 Inflammasome Is Activated in Mononuclear Blood Cells from Patients with Major Depressive Disorder,” exhibited the strongest citation burst (24.4) during 2019. Additionally, 4 references maintained citation bursts through 2026. These studies mainly focused on NLRP3 inflammasome activation, caspase-1-dependent inflammatory responses, the release of IL-1β and IL-18, and the relationship between neuroinflammation and the onset and progression of depression. Together, they further clarified the close association between pyroptosis-related inflammatory mechanisms and the pathological process of depression and provided new perspectives for targeting the inflammasome and pyrop
Keywords provide a highly condensed summary of article content, and keyword co-occurrence analysis can help reveal research hotspots and development trends within a given field. Table 6 presents the most frequently occurring keywords and their TLS in the fields of “ferroptosis in depression” and “pyroptosis in depression.”
| Type | Rank | Keyword | Occurrences | Total link strength |
| Ferroptosis in depression | 1 | Ferroptosis | 121 | 414 |
| 2 | Depression | 73 | 287 | |
| 3 | Oxidative stress | 31 | 145 | |
| 4 | Activation | 28 | 125 | |
| 5 | Neuroinflammation | 25 | 112 | |
| 6 | Inflammation | 21 | 95 | |
| 7 | Expression | 19 | 79 | |
| 8 | Iron | 18 | 98 | |
| 9 | Cell death | 16 | 76 | |
| 10 | Cognitive impairment | 13 | 67 | |
| Pyroptosis in depression | 1 | Depression | 488 | 3756 |
| 2 | NLRP3 inflammasome | 342 | 2583 | |
| 3 | Neuroinflammation | 252 | 1971 | |
| 4 | Activation | 214 | 1734 | |
| 5 | Inflammation | 158 | 1211 | |
| 6 | Stress | 137 | 1113 | |
| 7 | Inflammasome | 128 | 975 | |
| 8 | Microglia | 125 | 1056 | |
| 9 | Oxidative stress | 124 | 922 | |
| 10 | Brain | 120 | 984 |
As shown in Figure 9A, in the field of “ferroptosis in depression,” excluding the search terms themselves, the top 5 high-frequency keywords were “depression,” “oxidative stress,” “activation,” “neuroinflammation,” and “inflammation.” These results indicate that research in this field mainly focuses on diseases such as depression, cognitive impairment, Alzheimer’s disease, Parkinson’s disease, and anxiety; pathological mechanisms including oxidative stress, neuroinflammation, inflammation, iron overload/iron metabolism disorder, and cell death; drug-related studies repre
As shown in Figure 9B, in the field of “pyroptosis in depression,” the high-frequency keywords mainly included “depression,” “NLRP3 inflammasome,” “neuroinflammation,” “activation,” “inflammation,” and “stress.” These findings suggest that research in this field primarily focuses on diseases or related phenotypes such as major depressive disorder, anxiety-like behavior, brain injury, cognitive impairment, and mouse models; pathological mechanisms including NLRP3 inflammasome activation, neuroinflammation, microglial activation, oxidative stress, and inflammatory responses; and signaling pathways involving nuclear factor-κB, caspase-1, IL-1β, IL-18, and inflammasome signaling.
Based on keyword co-occurrence analysis, further clustering of keywords with similar features can reflect the fundamental knowledge structure of a research field. In CiteSpace, the modularity Q value and silhouette S value are used to evaluate the significance of the clustering structure and the reliability of the clustering results, respectively. In general, Q > 0.3 indicates a significant clustering structure, S > 0.5 indicates reasonable clustering, and S > 0.7 suggests that the clustering results are highly credible.
Figure 9C shows the clustering results of keywords in the field of “ferroptosis in depression” generated by CiteSpace. The network had a Q value of 0.4627 and an S value of 0.809, indicating a significant clustering structure and reliable results. According to the automatically generated labels shown in the figure, this field formed several relatively distinct thematic clusters. These labels were interpreted in the Discussion in relation to the biological questions and research directions represented by the corresponding keyword groups, including #0 cox4i1, #1 gut microbiota, #3 autophagy, #4 natural products, #5 ferulic acid, #7 antipsychotics, #10 comorbidity of pain and depression, #12 autosomal degradation, and #15 Bushen Hanyu Huayu formula. Overall, the ferroptosis clusters covered 3 themes: Molecular mechanisms, disease associations, and potential interventions. The mechanistic clusters involved oxidative stress, autophagy, mito
As shown in Figure 9D, keywords related to “pyroptosis in depression” were also clustered into multiple thematic groups, with a Q value of 0.386 and an S value of 0.7237, indicating that the research topics were relatively clear and the clustering results were reliable. According to the labels in the figure, the main clusters in this field included #0 major depressive disorder, #1 mitochondrial dysfunction, #2 Alzheimer’s disease, #3 chronic unpredictable mild stress, #4 ginsenoside Rg3, #6 neuronal pyroptosis, #8 suicide risk, #10 central nervous system, #11 histone acetylation, and #13 IL-1β. Overall, these clusters mainly focused on several major aspects. First, they addressed the regulatory mechanisms of pyroptosis and the NLRP3 inflammasome in depression, involving neuroinflammation, mitochondrial dysfunction, IL-1β release, and neuronal pyroptosis. Second, they explored the associations between depression and Alzheimer’s disease, suicide risk, and central nervous system disorders. In addition, they included mechanistic studies using chronic unpredictable mild stress models and potential therapeutic strategies, exemplified by ginsenoside Rg3, reflecting a trend in this field from basic inflammatory mechanisms toward clinical relevance and intervention-oriented research.
The present study systematically analyzed the literature in the fields of “ferroptosis in depression” and “pyroptosis in depression” using bibliometric methods. Overall, both research areas have shown continuous growth, although their developmental trajectories differed. Research on “pyroptosis in depression” emerged earlier and expanded steadily over time, whereas research on “ferroptosis in depression” started relatively late but has grown rapidly in recent years, suggesting that it has become an emerging hotspot and may remain an important frontier in the near future.
From the perspective of countries and institutions, China and the United States were the 2 leading contributors in both fields, ranking at the top in terms of publication output and citation impact. This finding highlights the prominent roles of these 2 countries in advancing research on depression-related regulated cell death. In particular, most of the leading institutions were from China, indicating that these topics have attracted substantial attention there. Guangzhou Uni
Regarding journals, the core publication outlets in these 2 fields included International Journal of Molecular Sciences, International Immunopharmacology, Brain, Behavior, and Immunity, and Journal of Neuroinflammation. Most of the high-yield and highly cited journals belonged to JCR Q1, indicating that this topic has already attracted considerable attention from high-quality journals. In addition, dual-map overlay analysis showed that studies on ferroptosis and pyroptosis in depression were mainly published in journals related to molecular biology, immunology, and clinical medicine, while the cited knowledge base was concentrated in psychiatry, neuroscience, and multidisciplinary high-impact journals. This pattern reflects the strongly interdisciplinary nature of this topic and suggests that progress in this field relies on the integration of molecular mechanism research, neuroimmune studies, and psychiatric investigation.
Co-citation analysis further identified the foundational literature in both fields. In the “ferroptosis in depression” field, the article by Dixon et al[8], published in Cell, which first defined ferroptosis as an iron-dependent non-apoptotic form of cell death, was the most frequently co-cited reference, highlighting its central theoretical role. In the “pyroptosis in depression” field, the article by Alcocer-Gómez et al[26], published in Brain, Behavior, and Immunity, which demonstrated abnormal activation of the NLRP3 inflammasome in patients with major depressive disorder, was the most influential co-cited reference. Together, these frequently co-cited studies contributed important theoretical and clinical evidence that informed subsequent work on the involvement of ferroptosis and pyroptosis in depression.
Ferroptosis is a regulated form of cell death characterized by iron-dependent lipid peroxidation and oxidative stress, and it has increasingly been implicated in a variety of neuropsychiatric and neurodegenerative disorders. In the present study, the most frequent keywords in the field of ferroptosis in depression, aside from the search terms themselves, included depression, oxidative stress, activation, neuroinflammation, and inflammation. These findings suggest that current research in this field is primarily focused on the intersection of ferroptosis with redox imbalance, inflammatory activation, and depression-related neuropathology.
Oxidative stress appears to be a central mechanism linking ferroptosis to depression[27]. Excessive production of ROS can promote lipid peroxidation, damage cellular membranes, and disrupt neuronal homeostasis, thereby facilitating ferroptotic injury[28]. At the same time, disordered iron metabolism may further amplify oxidative injury through Fenton chemistry, creating a vicious cycle of ROS accumulation and lipid peroxidation[29,30]. Because brain regions closely related to emotional regulation, such as the hippocampus and prefrontal cortex, are especially vulnerable to oxidative damage, ferroptosis may represent an important mechanistic bridge connecting metabolic disturbance with depressive phenotypes[31].
Neuroinflammation is another major focus of current research. Ferroptosis may aggravate inflammatory responses by releasing danger-associated molecules and lipid peroxidation byproducts, which in turn activate microglia and other immune pathways[32,33]. Conversely, inflammatory cytokines may disrupt iron homeostasis and antioxidant defense systems, thereby promoting ferroptotic vulnerability[34,35]. This reciprocal interaction may explain why neuroinflammation, inflammation, and activation emerged as central keywords in this field. In addition, the keyword clusters related to autophagy, gut microbiota, natural products, and comorbidity of pain and depression indicate that current research is extending beyond traditional cell death mechanisms and increasingly exploring broader biological systems and translational applications.
Notably, therapeutic exploration has become an important emerging direction. The appearance of clusters such as natural products, ferulic acid, and Bushen Hanyu Huayu formula, together with high-frequency keywords such as quer
Pyroptosis is an inflammatory form of PCD driven mainly by inflammasome activation, especially the NLRP3 inflammasome, followed by caspase-1 activation, gasdermin-mediated membrane pore formation, and the release of inflammatory cytokines such as IL-1β and IL-18[39,40]. In the present study, the high-frequency keywords in the field of pyrop
This pattern is highly consistent with the current view that depression is closely associated with chronic low-grade inflammation and immune dysregulation[41,42]. Activation of the NLRP3 inflammasome in microglia and peripheral immune cells may trigger a cascade of inflammatory events that affect synaptic plasticity, neurotransmitter systems, neuroendocrine regulation, and neuronal survival, thereby contributing to depressive symptoms[43,44]. The clustering results further support this interpretation, as major clusters included major depressive disorder, mitochondrial dys
The link between mitochondrial dysfunction and pyroptosis therefore deserves particular attention. Mitochondrial damage can increase ROS production and release mitochondrial danger signals, thereby facilitating NLRP3 inflammasome activation[45,46]. This suggests that mitochondrial dysfunction may function as an upstream event connecting cellular stress to neuroinflammatory damage in depression[47]. Similarly, microglial activation emerged as an important keyword, consistent with evidence that overactivated microglia can mediate inflammatory amplification and contribute to synaptic and neuronal abnormalities in depression[48,49].
In addition, the presence of clusters such as ginsenoside Rg3 indicates that the field is also moving toward therapeutic application. Current studies suggest that targeting the NLRP3/caspase-1/IL-1β axis, suppressing microglial overacti
Our integrated analysis identified only 17 publications that simultaneously addressed ferroptosis and pyroptosis in depression, representing 11% of the ferroptosis dataset and 2% of the pyroptosis dataset. This limited overlap indicates that the 2 fields are still investigated predominantly as separate research streams. Although ferroptosis and pyroptosis share several pathological contexts in depression, including oxidative stress, mitochondrial dysfunction, neuroinflammation, and microglial activation, they remain biologically distinct forms of regulated cell death. Ferroptosis is characterized primarily by iron-dependent lipid peroxidation and failure of antioxidant defense systems[50,51], whereas pyroptosis is generally associated with inflammasome activation, caspase activation, gasdermin-mediated membrane pore formation, and inflammatory cytokine release[52]. Therefore, the overlap of high-frequency keywords between the 2 bibliometric datasets should be interpreted as evidence of shared research contexts rather than direct proof of mechanistic integration. Importantly, the current literature appears to remain largely separated into 2 research streams. Studies of ferroptosis in depression mainly examine iron metabolism, lipid peroxidation, GPX4-related antioxidant defense, and ferroptosis-targeted interventions. By contrast, studies categorized as pyroptosis-related mainly focus on NLRP3 inflammasome activation, caspase-1-dependent inflammatory signaling, IL-1β/IL-18 release, and microglia-mediated neuroinflammation. Relatively few studies have simultaneously evaluated canonical markers of both ferroptosis and pyroptosis in the same depression model, determined whether one pathway precedes or drives the other, or tested whether dual-pathway intervention provides benefits beyond targeting either pathway alone.
Oxidative stress, mitochondrial dysfunction, and neuroinflammation may represent potential points of convergence between the 2 pathways. For example, lipid peroxidation and ROS generated during ferroptotic stress may facilitate inflammasome activation, whereas inflammatory mediators associated with pyroptosis may worsen redox imbalance and disrupt iron homeostasis[53]. However, these proposed links remain largely inferential in the context of depression. Shared pathways do not necessarily indicate direct crosstalk, and whether ferroptosis and pyroptosis occur sequentially, in parallel, or independently across different cell types and disease stages remains unclear.
Future integrated mechanistic studies should assess ferroptosis- and pyroptosis-related markers simultaneously in well-characterized depression models and clinical samples. Particular attention should be paid to cell-type specificity in neurons, microglia, astrocytes, and peripheral immune cells; temporal relationships between lipid peroxidation and inflammasome activation; and potential regulatory nodes linking the 2 processes, such as ROS, mitochondrial damage, iron metabolism, and gasdermin-related signaling. Experimental studies using genetic or pharmacological inhibition of one pathway followed by assessment of the other, as well as combined-target intervention studies, will be important for determining whether the 2 forms of cell death have a true causal interaction and whether their co-targeting has translational value in depression.
Another central point of convergence is neuroinflammation. Pyroptosis directly induces inflammatory cascades th
The present bibliometric findings provide several important implications for future research. First, they confirm that ferroptosis and pyroptosis have become increasingly important conceptual frameworks for understanding the biological basis of depression. Second, the identified hotspots suggest that future studies will likely continue to focus on oxidative stress, iron metabolism, NLRP3 inflammasome signaling, microglial activation, and targeted intervention strategies. Third, the frequent appearance of keywords related to natural products, traditional Chinese medicine, and signaling pathway regulation indicates increasing interest in translational and therapeutic applications. However, these bibliometric trends should be interpreted as indicators of research attention rather than direct evidence of therapeutic effectiveness or clinical readiness.
It should also be noted that bibliometric influence does not necessarily equate to scientific novelty or clinical utility. Traditional citation indicators are cumulative and time-dependent; thus, foundational studies and earlier publications are more likely to achieve high citation counts, whereas recent studies may not yet have received sufficient citations despite potentially important methodological or translational contributions. In addition, citation behavior may be affected by journal visibility, research field size, and database coverage. Future bibliometric investigations may combine conventional citation and co-citation analyses with citations per year, field-normalized citation indicators, altmetric attention scores, and evidence of clinical translation, such as inclusion in clinical guidelines or policy documents. This approach may enable a more comprehensive evaluation of the impact of emerging research on ferroptosis and pyroptosis in depression.
However, several challenges remain. Much of the current literature is still dominated by basic and preclinical research, while direct clinical evidence remains relatively limited. More large-scale clinical studies are needed to determine whe
The observed trends also have practical implications for research funding and experimental design. Funding agencies may prioritize multidisciplinary projects that link oxidative stress, iron metabolism, mitochondrial dysfunction, neuroinflammation, and inflammasome signaling rather than supporting isolated pathway-based investigations alone. In precli
A major priority for future research is to move beyond parallel descriptions of ferroptosis and pyroptosis. Current evidence does not establish whether these pathways are directly coupled in depression or simply coexist as responses to common pathological stressors. Future studies should therefore assess canonical markers of both pathways simultaneously in well-characterized depression models and clinical samples. Longitudinal experimental designs, cell-type-resolved approaches, and genetic or pharmacological perturbation studies will be particularly important for distinguishing correlation from causal crosstalk. Attention should be paid to neurons, microglia, astrocytes, and peripheral immune cells, as well as to potential shared regulatory nodes, including ROS, mitochondrial damage, iron dysregulation, and inflammatory signaling.
From a translational perspective, a stepwise development strategy is warranted. First, candidate biomarkers related to iron metabolism, lipid peroxidation, antioxidant capacity, inflammasome activation, gasdermin signaling, IL-1β, and IL-18 should be evaluated in adequately powered clinical cohorts. Second, promising markers should be replicated in independent multicenter cohorts and assessed for their ability to identify biologically distinct patient subgroups, predict treatment response, or estimate relapse risk. Third, early-phase clinical trials of interventions targeting oxidative stress, iron metabolism, neuroinflammation, or inflammasome-related signaling should incorporate pharmacodynamic biomar
This study provides a comprehensive bibliometric overview of the research landscape of ferroptosis in depression and pyroptosis in depression, including publication trends, leading contributors, core journals, influential references, and emerging hotspots. It offers a valuable reference for researchers seeking to quickly understand the knowledge structure and future directions of these 2 rapidly developing fields. Nevertheless, several limitations should be acknowledged. First, the literature was retrieved solely from the WoSCC. Although WoSCC is widely used in bibliometric studies be
In summary, the present bibliometric analysis demonstrates that research on “ferroptosis in depression” and “pyroptosis in depression” is developing rapidly and shows marked interdisciplinary characteristics. Ferroptosis-related studies mainly focus on oxidative stress, iron metabolism, lipid peroxidation, antioxidant defense, and targeted inhibition, whereas pyroptosis-related studies primarily emphasize inflammasome activation, gasdermin-mediated inflammatory cell death, neuroinflammation, and cytokine-mediated injury. Although both fields share several pathological contexts, including oxidative stress and neuroinflammation, the current literature remains largely organized into separate research streams. Direct evidence demonstrating causal crosstalk, temporal sequencing, cell-type-specific interactions, and the therapeutic benefit of co-targeting ferroptosis and pyroptosis in depression remains limited. Future studies should therefore employ integrated mechanistic and clinical approaches to determine whether these pathways are truly interconnected and whether their combined modulation can yield clinically meaningful biomarkers or therapeutic strategies.
The authors would like to express their sincere gratitude to all those who provided expert assistance in designing the search strategy and retrieving the core datasets from scientific databases. We also thank our colleagues for their meti
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