The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Efferocytosis Fuels Requirements of Fatty Acid Oxidation and the Electron Transport Chain to Polarize Macrophages for Tissue Repair
Open accessAbstract
During wound injury, efferocytosis fills the macrophage with a metabolite load nearly equal to the phagocyte itself. A timely question pertains to how metabolic phagocytic signaling regulates the signature anti-inflammatory macrophage response. Here we report the metabolome of activated macrophages during efferocytosis to reveal an interleukin-10 (IL-10) cytokine escalation that was independent of glycolysis yet bolstered by apoptotic cell fatty acids and mitochondrial β-oxidation, the electron transport chain, and heightened coenzyme NAD+. Loss of IL-10 due to mitochondrial complex III defects was remarkably rescued by adding NAD+ precursors. This activated a SIRTUIN1 signaling cascade, largely independent of ATP, that culminated in activation of IL-10 transcription factor PBX1. Il-10 activation by the respiratory chain was also important in vivo, as efferocyte mitochondrial dysfunction led to cardiac rupture after myocardial injury. These findings highlight a new paradigm whereby macrophages leverage efferocytic metabolites and electron transport for anti-inflammatory reprogramming that culminates in organ repair.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Efferocytosis leads to IL-10 induction in macrophages through signaling pathways activated by apoptotic cell cargo, including fatty acids and tryptophan (30, 40).”
From Impaired TIM4-mediated efferocytosis by liver macrophages contributes to fibrosis in metabolic dysfunction–associated steatohepatitis (2025) · cites this paper as [40]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Among the proresolving molecules known to be induced by efferocytosis is interleukin-10 (IL-10) (30, 40)”
From Impaired TIM4-mediated efferocytosis by liver macrophages contributes to fibrosis in metabolic dysfunction–associated steatohepatitis (2025) · cites this paper as [40]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Cytokine-mediated regulation of CXCR4 expression in human neutrophils
Nagase, H., Miyamasu, M., Yamaguchi, M., Imanishi, M., Tsuno, N. H., Matsushima, K., Yamamoto, K., Morita, Y., & Hirai, K. (2002) · Journal of Leukocyte Biology · doi:10.1189/jlb.71.4.711 · Cited by 4,713
Fadok, V. A., Bratton, D. L., Konowal, A., Freed, P. W., Westcott, J. Y., & Henson, P. M. (1998) · Journal of Clinical Investigation · doi:10.1172/jci1112 · Cited by 3,166 · cited 3×
“This approach confirmed that apoptotic cells (Annexin V+, PI−) specifically and reproducibly induced macrophages to produce the canonical antiinflammatory cytokine IL-10 (Fadok et al., 1998) (Figures 1D and 1E).”
BackgroundMethodResolution of inflammation: the beginning programs the end
Serhan, C. N., & Savill, J. (2005) · Nature Immunology · doi:10.1038/ni1276 · Cited by 2,552
Jha, A. K., Huang, S. C.-C., Sergushichev, A., Lampropoulou, V., Ivanova, Y., Loginicheva, E., Chmielewski, K., Stewart, K. M., Ashall, J., Everts, B., et al. (2015) · Immunity · doi:10.1016/j.immuni.2015.02.005 · Cited by 2,066
Chandel, N. S., McClintock, D. S., Feliciano, C. E., Wood, T. M., Melendez, J. A., Rodriguez, A. M., & Schumacker, P. T. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.m001914200 · Cited by 2,000
Self-citationLampropoulou, V., Sergushichev, A., Bambousková, M., Nair, S., Vincent, E. E., Loginicheva, E., Cervantes‐Barragán, L., Ma, X., Huang, S. C., Griss, T., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.06.004 · Cited by 1,583
Palsson-McDermott, E. M., Curtis, A. M., Goel, G., Lauterbach, M. A. R., Sheedy, F. J., Gleeson, L. E., van den Bosch, M. W. M., Quinn, S. R., Domingo-Fernandez, R., Johnston, D. G. W., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2014.12.005 · Cited by 1,397
Oxidative metabolism and PGC-1β attenuate macrophage-mediated inflammation
Vats, D., Mukundan, L., Odegaard, J. I., Zhang, L., Smith, K. L., Morel, C. R., Greaves, D. R., Murray, P. J., & Chawla, A. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.05.011 · Cited by 1,369 · cited 1×
“In skeletal cells, SIRT1 controls the transcription of peroxisome proliferator-activated receptor-gamma co-acti-vator-1α (PGC-1α) (Amat et al., 2009), which separately has been linked to IL-10 induction (Morari et al., 2010) and oxidative metabolism in macrophages (Vats et al., 2006).”
BackgroundEvans, A. M., DeHaven, C. D., Barrett, T., Mitchell, M. W., & Milgram, K. E. (2009) · Analytical Chemistry · doi:10.1021/ac901536h · Cited by 1,317
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–486 of 486
Fatty acids getting NAD+ about cardiometabolic diseases
Jalil, A., Thomas, C., & Masson, D. (2019) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000637
Lipin-1 regulates lipid catabolism in pro-resolving macrophagesPreprint
Schilke, R. M., Blackburn, C. M. R., Rao, S., Krzywanski, D. M., Finck, B. N., & Woolard, M. D. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.03.121293
Hematopoietic-SLC37A2 deficiency accelerates atherosclerosis in LDL receptor-deficient micePreprint
Zhao, Q., Wang, Z., Meyers, A. K., Madenspacher, J. H., Zabalawi, M., Boudyguina, E. Y., Hsu, F., McCall, C. M., Furdui, C. M., Parks, J. S., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.06.455449
Metabolic Profile of Innate Immune Cells
Codo, A. C., Penteado, L. D. A., de Medeiros, A. I., & Moraes‐Vieira, P. M. (2021) · Springer eBooks · doi:10.1007/978-3-030-86684-6_5
Dying cell-derived SAM switches off inflammation
Maeyer, R. P. H. D., & Gilroy, D. W. (2022) · Nature Metabolism · doi:10.1038/s42255-022-00556-2
Interferon regulatory factor 3 is a potential biomarker to predict the process of atherosclerosis
Lu, S. (2023) · BIO Web of Conferences · doi:10.1051/bioconf/20236101025
Du, J., Zhao, X., Zheng, X., Wang, Y., Chen, J., Wang, X., Xia, P., Yuan, D., Liu, Y., & Wang, Z. (2023) · Research Square · doi:10.21203/rs.3.rs-3600828/v1
Promoting Liver Regeneration by Utilizing Liver Macrophage Metabolism
刘, 云. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.141049
Shi, H., & El Kazzi, M. (2023) · Austin Journal of Clinical Cardiology · doi:10.26420/austinjclincardiolog.2023.1104
Extra-pulmonary control of respiratory defense
Korkmaz, F. T., & Quinton, L. J. (2024) · Cellular Immunology · doi:10.1016/j.cellimm.2024.104841
Transcriptional analysis of efferocytosis in mouse skin woundsPreprint
Krause, W., King, D. E., & Horsley, V. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.12.607219 · Cited by 1
Trained innate immunity attenuates macrophage efferocytosis of cancer cellsPreprint
Chatzis, A., Lukaszonek, J., Lagos, D., Boucher, D., & Kourtzelis, I. (2025) · eLife · doi:10.7554/elife.105206.1
β-glucan reprograms macrophages to attenuate efferocytosis of cancer cellsPreprint
Chatzis, A., Lukaszonek, J., Lagos, D., Boucher, D., & Kourtzelis, I. (2025) · eLife · doi:10.7554/elife.105206
Qin, Y., Wang, X., Zhang, X., Nong, L., Hou, Q., Chen, Y., Li, Y., Lin, W., Mao, X., Wu, K., et al. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1545720
Fever-range temperature alters continual efferocytosis mediated by mouse proinflammatory macrophages
Vetter, M., Maraux, M., Bonnefoy, F., Zuffo, L. D., Lamarthée, B., Rolin, G., Wetzel, A., Perruche, S., Peixoto, P., & Saas, P. (2025) · Journal of Leukocyte Biology · doi:10.1093/jleuko/qiaf061
Mandal, P. K., Mahadeva, R., Chouhan, K., Slusarczyk, P., Zurawska, G., Niklewicz, M., Macias, M., Szybińska, A., Jończy, A., Liu, Z., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.13.659526
Graham-Paquin, A.-L., Saini, D., Viala, S., Whitford, M. K., Tremblay, M. R., Pastor, W. A., & McCaffrey, L. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.31.668010
Liu, E., Wright, M., Kearney, A. O., Caza, T. N., Yang, J. Y., Garcia, V., Dadi, A., Ishibe, S., Chandel, N. S., Zhang, H., et al. (2025) · eLife · doi:10.7554/elife.107841
Self-citationChronic inflammation induced immunosuppression
Greten, F. R., & Pesic, M. H. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-14064-8.00048-5
Metabolic Implications of Efferocytosis During Inflammation
Namgaladze, D., Brüne, B., & Weigert, A. (2025) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-92785-0_4
Pigs lacking Natural Killer T cells have altered cellular responses to influenza
Kwon, T., Gu, W., Morozov, I., Carossino, M., Lyoo, E., McDowell, C. D., Li, Y., Balasuriya, U. B. R., Huang, Y. F., Madrid, D. M. D. C., et al. (2026) · PLoS Pathogens · doi:10.1371/journal.ppat.1014094
Zhao, X.-H., Yang, T., Zheng, M.-Y., Zhao, P., An, L.-Y., Qi, Y., Yi, K.-Q., Zhang, P.-C., & Sun, D.-L. (2024) · Figshare · doi:10.6084/m9.figshare.26563396
Zhao, X.-H., Yang, T., Zheng, M.-Y., Zhao, P., An, L.-Y., Qi, Y., Yi, K.-Q., Zhang, P.-C., & Sun, D.-L. (2024) · Figshare · doi:10.6084/m9.figshare.26563408
Zhao, X.-H., Yang, T., Zheng, M.-Y., Zhao, P., An, L.-Y., Qi, Y., Yi, K.-Q., Zhang, P.-C., & Sun, D.-L. (2024) · Figshare · doi:10.6084/m9.figshare.26563393
Zhao, X.-H., Yang, T., Zheng, M.-Y., Zhao, P., An, L.-Y., Qi, Y., Yi, K.-Q., Zhang, P.-C., & Sun, D.-L. (2024) · Figshare · doi:10.6084/m9.figshare.26563402
Zhao, X.-H., Yang, T., Zheng, M.-Y., Zhao, P., An, L.-Y., Qi, Y., Yi, K.-Q., Zhang, P.-C., & Sun, D.-L. (2024) · Figshare · doi:10.6084/m9.figshare.26563414
Zhao, X.-H., Yang, T., Zheng, M.-Y., Zhao, P., An, L.-Y., Qi, Y., Yi, K.-Q., Zhang, P.-C., & Sun, D.-L. (2024) · Figshare · doi:10.6084/m9.figshare.26563405
Zhao, X.-H., Yang, T., Zheng, M.-Y., Zhao, P., An, L.-Y., Qi, Y., Yi, K.-Q., Zhang, P.-C., & Sun, D.-L. (2024) · Figshare · doi:10.6084/m9.figshare.26563390
Jia, L., Liao, L., Jiang, Y., Hu, X., Lu, G., Xiao, W., Gong, W., Jia, X., & Xiaoqin, J. (2023) · Figshare · doi:10.6084/m9.figshare.24465178
Zhao, X.-H., Yang, T., Zheng, M.-Y., Zhao, P., An, L.-Y., Qi, Y., Yi, K.-Q., Zhang, P.-C., & Sun, D.-L. (2024) · Figshare · doi:10.6084/m9.figshare.26563399
Jia, L., Liao, L., Jiang, Y., Hu, X., Lu, G., Xiao, W., Gong, W., Jia, X., & Xiaoqin, J. (2024) · Figshare · doi:10.6084/m9.figshare.26634027
Qiu, S., Liu, J., Chen, J., Li, Y., Bu, T., Li, Z., Zhang, L., Sun, W., Zhou, T., Hu, W., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26706075
Zhao, X.-H., Yang, T., Zheng, M.-Y., Zhao, P., An, L.-Y., Qi, Y., Yi, K.-Q., Zhang, P.-C., & Sun, D.-L. (2024) · Figshare · doi:10.6084/m9.figshare.26563411
Zhao, X.-H., Yang, T., Zheng, M.-Y., Zhao, P., An, L.-Y., Qi, Y., Yi, K.-Q., Zhang, P.-C., & Sun, D.-L. (2024) · Figshare · doi:10.6084/m9.figshare.26563387
Jia, L., Liao, L., Jiang, Y., Hu, X., Lu, G., Xiao, W., Gong, W., Jia, X., & Xiaoqin, J. (2024) · Figshare · doi:10.6084/m9.figshare.24465321
Ishikane, S., Kishigami, T., Ikushima, E., Arioka, M., Igawa, K., & Takahashi‐Yanaga, F. (2026) · Journal of Pharmacological Sciences · doi:10.1016/j.jphs.2026.01.004
Étude de l’influence de la glutaminolyse des macrophages dans les maladies cardio-métaboliques
Merlin, J. (2020) · theses.fr (ABES) · doi:10.70675/68e10f28zf840z48bfz9bacz5511a3a2b208
Fatty acid metabolism at the interface between host and Mycobacterium tuberculosis
Laval, T. (2020) · theses.fr (ABES) · doi:10.70675/d19c8f20z2852z48ffz8a3fz499b24aa84c7
IRF5 and the metabolic adaptations of adipose tissue macrophages upon metabolic stress
Orliaguet, L. (2022) · theses.fr (ABES) · doi:10.70675/145b35eazd61az4b32zacc7z422afeae6061
Bmal2, a circadian-related gene as candidate in obesity and diabetes
Philippe, M. (2023) · theses.fr (ABES) · doi:10.70675/0649c89czc015z4d7fz8832z596152e96dc1
Effect of nonalcoholic fatty liver disease on post-myocardial infarction cardiac remodeling
Biquard, L. (2022) · theses.fr (ABES) · doi:10.70675/4f4848d2z6a02z4576z9fc3zff58e2f5c501
Maximal exercise at high altitude does not exacerbate inflammation in the human brain
Caldwell, H. G., Gibbons, T. D., Howe, C. A., Talbot, J. S., Jenkins, E. J., Brewster, L. M., Monteleone, J. A., Carr, J. M. J. R., Steele, A. R., Stembridge, M. R., et al. (2026) · The Journal of Physiology · doi:10.1113/jp290053
Zhang, S. (2024) · theses.fr (ABES) · doi:10.70675/60a97388z3f39z4829zbe4ezd73224b4a333
Self-citationLan, H., Jian, X., Liao, Z., Li, Y., Wang, Q., Huang, J.-W., Hu, J., & Liao, H. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1810106
Mezouar, S., & Mège, J. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1015392
Dynamic metabolic programming of monocyte-derived cells defines immunity in CNS disease
Wishart, C. L., Tan, J., & King, N. J. C. (2026) · Brain · doi:10.1093/brain/awag149
Ngai, D., Chowdhury, S., Sukka, S. R., Kuriakose, G., Havens, B. T., Yalçınkaya, M., Frey, J. M., Doviak, H., Bradford, J. W., Dorweiler, B., et al. (2026) · Nature Communications · doi:10.64898/2026.04.27.720940
Krejčová, G., & Bajgar, A. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1882514
Age-dependent disease tolerance to SARS-CoV-2 infectionPreprint
Rastogi, S., Mesquita, M., Fonseca, D. M., Salazar, S. B., Cardoso, S., Faísca, P., Drotleff, B., Alenquer, M., Lone, J., Miguel, V., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.27.734955
Liu, X., Yan, X., Wang, T. Q., Luo, T., Yang, S., Fang, Y., Chen, X., HUANG, R., Wang, M., & Wu, X. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1795337 · Cited by 1
Rewiring cellular immunotherapy: From CAR evolution to circuit innovations across diseases
Chen, J., Cui, Y., Du, K., Liu, J., Xie, J., Wang, S., & Yang, Z. (2026) · Biotechnology Advances · doi:10.1016/j.biotechadv.2026.108980
Avalos, J., Sabbione, F., Rios, D., Grasso, D., García, M. J. V., Aguilera, F., Merech, F., Aiello, H. A., Meller, C., Ramhorst, R., et al. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1855111
Li, Q., Chen, S., Wu, J., Tang, S., Wen, Z., Han, X., Bi, X., Huang, C., & Liu, J. (2026) · Toxicon · doi:10.1016/j.toxicon.2026.109226
Zhao, L. L., Zhang, Z., Zheng, L., Liang, Y., Zhang, Y., Yang, H., Zhao, C., Qiu, P., Chen, J., Xu, W., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-74892-2
Xin, Z., Liu, M. Y., Yang, Y., & Guo, G. (2026) · Antioxidants and Redox Signaling · doi:10.1177/15230864261455539
Role of Lipin‐1 in Macrophage‐Mediated Atherosclerosis: Is It Atherogenic or Atheroprotective?
Oghbaei, F., Musavi, M., Abavisani, M., Raoufinia, R., Ghasemi, A., & Momtazi‐Borojeni, A. A. (2026) · Journal of the American Heart Association · doi:10.1161/jaha.126.050155
Cai, W., Pan, X., Qian, T., Yu, S., Zhao, R., Zhu, C., Sang, S., & Zhong, C. (2026) · Neuroscience Bulletin · doi:10.1007/s12264-026-01693-4
Chen, S., Kong, D., Nian, Y., Wang, Z., & Zheng, H. (2026) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2026.1868319
Niche-dependent immunometabolic regulation of tissue repair and regeneration
Xie, X., Zeng, L., Chi, Z., & Wang, D. (2026) · Immunity & Inflammation · doi:10.1007/s44466-026-00052-2
Kim, I., Song, Y., Choo, S., & Lee, S. S. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103320
Li, Z., Lin, C., Tang, L., Xu, Y., Liang, J., Pan, D., Huang, Z., Xie, X., Wang, Y., Qin, S., et al. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27177527
Wang, L., Wei, J., Xu, Y., Gao, J., 夏银河, Zhang, Y., Song, R., Liu, J., Li, Y., Chen, G., et al. (2026) · Chemical Engineering Journal · doi:10.1016/j.cej.2026.181183
Hu, H., Han, T., Huang, Q., Gong, P., Liu, J., Wang, H., Ling, X., Wang, K., Liu, S., Yu, Y., et al. (2026) · Molecular Biomedicine · doi:10.1186/s43556-026-00526-0
Lin, J., Wang, J., Sun, L., & Zhang, R. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27177774
Wang, S., Wang, R.-J., Lin, K., Li, L.-J., Luo, R.-J., Guan, J.-B., Wang, S.-B., Zhao, Y.-T., Yan, L., & Yu, X.-J. (2026) · Pharmacological Research · doi:10.1016/j.phrs.2026.108433
Yalçınkaya, M., Hsu, C.-C., Li, L., Wang, R., Ngai, D., Vela, P. S., Fernández-Maestre, I., Olszewska, M., Liu, W., Chen, M., et al. (2026) · Circulation · doi:10.1161/circulationaha.126.080527
Wang, J., Yu, R., Zhou, X., Huang, L., Li, X., Zou, J., Deng, Y., Yang, F., & Yang, Y. (2026) · Advanced Healthcare Materials · doi:10.1002/adhm.71698
Pbx1 as a regulator of T-cell fate in autoimmunity
Arena, M. M. D. O., Park, Y. P., Choi, S., & Morel, L. M. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1953711
General View of Arachidonic Acid (AA) Metabolism
Das, U. N. (2026) · Reviews of physiology, biochemistry and pharmacology · doi:10.1007/978-981-92-5964-9_3
Dong, Y., Luo, Y., Chen, Y., Liu, M., Zhou, Y., Yang, Y., Chen, X., Yang, F., Liang, Z., Zi, L., et al. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1938154
Programmed cell death in inflammation: interactions and holistic perspective
Zhang, W., Zhu, C., Li, C., Song, L., Liao, Y., Zhang, H., Yi, B., & Zou, Z. (2026) · Cellular and Molecular Immunology · doi:10.1038/s41423-026-01479-8
Ai, Y., Zhang, L., Wei, A., Dong, J., Pang, T., Zhang, Y., Wu, K., & Yao, S. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1976931
Hao, H., Hongyu, Z., Dong, P., Fan, X., Liu, J., Wu, H., Jia, L., Li, C., Ao, L., & Dong, Q. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1902920
Peng, T., Guo, H., Yihui, W., Song, Y., Zhang, H., Zhang, J., Xu, Y., Liu, J., Xie, Y., Jin, Q., et al. (2026) · International Journal of Pharmaceutics X · doi:10.1016/j.ijpx.2026.100684
Efferocytosis Remodels Osteoclast Metabolism and Enhances Antibacterial DefensePreprint
Yu, Q., Zhang, J., Qu, Y., Tang, Y., Zhang, Y., Jia, Y., Dai, Q., Huang, Z., Shen, J., Limjunyawong, N., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.13.759003
Lactate-Driven Biphasic Reprogramming of Macrophage Immune Responses
Guo, Q., Ren, P., He, L., Gao, J., Lu, R., Wang, Y., Zhang, Z., Han, X., Zhang, X., & Fang, C. (2026) · Metabolites · doi:10.3390/metabo16100788
Chen, Q., Wu, C., Huang, C., & Zhou, H. (2026) · MedComm · doi:10.1002/mco2.71038
Natural products targeting efferocytosis: Bioactivities and therapeutic potential
Zhang, G., Geng, B., Zhang, S., & Xu, J. (2026) · Studies in natural products chemistry · doi:10.1016/b978-0-443-51068-7.00016-7
Self-citationNovel Mechanometabolic Signaling Cascade Linking Efferocytosis to Inflammation Resolution
kumar, D., Pandit, R., Frausto, L., Governale, T.-A., Yuan, S. S., Fieira, J. N., Quaye, A., McGee, K., Das, S. R., Anand, S. K., et al. (2026) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.126.325444
Hypoxia‐tolerant photodynamic therapy: Bridging oxygen limitation and cancer immunity
Song, H., Zhao, Y., & Yoon, J. (2026) · Bulletin of the Korean Chemical Society · doi:10.1002/bkcs.70224
Neutrophils, NETs, and efferocytosis in aging: A resolution-failure axis driving inflammaging
Mutyala, D. R., & Surolia, R. (2026) · Redox Biology · doi:10.1016/j.redox.2026.104457
Metadata
- Authors
- Zhang, S., Weinberg, S., DeBerge, M., Gainullina, A., Schipma, M., Kinchen, J. M., Ben-Sahra, I., Gius, D. R., Yvan-Charvet, L., Chandel, N. S., Schumacker, P. T., & Thorp, E. B.
- Affiliations
- Northwestern University (US)
- ITMO University (RU)
- Metabolon (United States) (US)
- Corresponding author
- Thorp, Edward B.
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 29
- Issue
- 2
- Pages
- 443-456.e5
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC6471613
- OpenAlex
- W2907223756
- Cited by
- 485
- References
- 65
- Citations by year
- 2026: 82 · 2025: 90 · 2024: 84 · 2023: 71 · 2022: 45 · 2021: 62 · 2020: 31 · 2019: 20
- FWCI
- 12.06
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NHLBI (F32HL127958, HL122309, HL139812)
- Chicago Biomedical Consortium
- Sidney Bess Memorial Fund (2R01CA152601-A1, 1R01CA152799-01A1, 1R01CA168292-01A1, 1R01CA214025-01)
- Avon Foundation
- Lynn Sage Cancer Research Foundation
- Chicago Community Trust
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Phagocytosis and Immune Regulation
- Health Sciences › Medicine › Geriatrics and Gerontology › Sirtuins and Resveratrol in Medicine
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Keywords
- efferocytosis, macrophage polarization, IL-10, mitochondrial beta-oxidation, electron transport chain, NAD+, SIRT1, PBX1, mitochondrial complex III, wound healing, myocardial injury, cardiac rupture, anti-inflammatory macrophages, tissue repair
- MeSH terms
- Animals, Electron Transport, Fatty Acids, Humans, Inflammation, Macrophages, Mice, Inbred C57BL, Mitochondria, NAD, Oxidation-Reduction, Wound Healing, Interleukin-10, Jurkat Cells, Mice, Cytophagocytosis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review