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Usage Information

Macrophage-enriched Sectm1a promotes efficient efferocytosis to attenuate ischemia/reperfusion-induced cardiac injury
Xiaohong Wang, Wa Du, Yutian Li, Hui-Hui Yang, Yu Zhang, Rubab Akbar, Hannah Morgan, Tianqing Peng, Jing Chen, Sakthivel Sadayappan, Yueh-Chiang Hu, Yanbo Fan, Wei Huang, Guo-Chang Fan
Xiaohong Wang, Wa Du, Yutian Li, Hui-Hui Yang, Yu Zhang, Rubab Akbar, Hannah Morgan, Tianqing Peng, Jing Chen, Sakthivel Sadayappan, Yueh-Chiang Hu, Yanbo Fan, Wei Huang, Guo-Chang Fan
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Research Article Cardiology Immunology

Macrophage-enriched Sectm1a promotes efficient efferocytosis to attenuate ischemia/reperfusion-induced cardiac injury

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Abstract

Efficient clearance and degradation of apoptotic cardiomyocytes by macrophages (collectively termed efferocytosis) is critical for inflammation resolution and restoration of cardiac function after myocardial ischemia/reperfusion (I/R). Here, we define secreted and transmembrane protein 1a (Sectm1a), a cardiac macrophage–enriched gene, as a modulator of macrophage efferocytosis in I/R-injured hearts. Upon myocardial I/R, Sectm1a-KO mice exhibited impaired macrophage efferocytosis, leading to massive accumulation of apoptotic cardiomyocytes, cardiac inflammation, fibrosis, and consequently, exaggerated cardiac dysfunction. By contrast, therapeutic administration of recombinant SECTM1A protein significantly enhanced macrophage efferocytosis and improved cardiac function. Mechanistically, SECTM1A could elicit autocrine effects on the activation of glucocorticoid-induced TNF receptor (GITR) at the surface of macrophages, leading to the upregulation of liver X receptor α (LXRα) and its downstream efferocytosis-related genes and lysosomal enzyme genes. Our study suggests that Sectm1a-mediated activation of the Gitr/LXRα axis could be a promising approach to enhance macrophage efferocytosis for the treatment of myocardial I/R injury.

Authors

Xiaohong Wang, Wa Du, Yutian Li, Hui-Hui Yang, Yu Zhang, Rubab Akbar, Hannah Morgan, Tianqing Peng, Jing Chen, Sakthivel Sadayappan, Yueh-Chiang Hu, Yanbo Fan, Wei Huang, Guo-Chang Fan

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 2,394 811
PDF 218 226
Figure 736 7
Supplemental data 144 19
Citation downloads 82 0
Totals 3,574 1,063
Total Views 4,637

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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