Evidence map›Paper›PMID 39780180›Full record

ArticleCell communication and signaling : CCS2025

Staphylococcus aureus vesicles impair cutaneous wound healing through p38 MAPK-MerTK cleavage-mediated inhibition of macrophage efferocytosis.

Jiaxin Ou, Kangxin Li, Hui Yuan, Shaohua Du, Tingting Wang, Qiannan Deng, Huimei Wu, Weiyan Zeng, Kui Cheng, Kutty Selva Nandakumar

Erratum issuedAbstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jiaxin Ou *School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China.
Kangxin Li *Henan International Joint Laboratory of Infection and Immunity, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450001, China. 13610083521@163.com.
Hui YuanHenan International Joint Laboratory of Infection and Immunity, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450001, China.
Shaohua DuDepartment of Musculoskeletal Oncology, the Third Affiliated Hospital of Southern Medical University, Guangzhou, 510642, China.
Tingting WangSchool of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China.
Qiannan DengInstitute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou, 510075, China.
Huimei WuSchool of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China.
Weiyan ZengDepartment of Pharmacy, Sun Yat-Sen University Cancer Center, Guangzhou, 510030, China.
Kui ChengSchool of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China. chengk@smu.edu.cn.
Kutty Selva NandakumarSchool of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China. nandakumar@smu.edu.cn.

Funding

Government of Guangdong Province 2020A151501518Guangzhou Science, Technology and Innovation Commission 202201011087Southern Medical University C1034211
6 · The paper itself

Abstract

backgroundStaphylococcus aureus, a known contributor to non-healing wounds, releases vesicles (SAVs) that influence the delicate balance of host-pathogen interactions. Efferocytosis, a process by which macrophages clear apoptotic cells, plays a key role in successful wound healing. However, the precise impact of SAVs on wound repair and efferocytosis remains unknown.

methodsFiltration, ultracentrifugation, and iodixanol density gradient centrifugation were used to purify the bacterial vesicles. Transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA), and Western blot (WB) were used to characterize the vesicles. Macrophage efferocytosis efficiency was assessed using flow cytometry and confocal microscopy, while efferocytosis at wound sites was analyzed through WB, FACS, and TUNEL staining. Hematoxylin and eosin (H&E) staining and wound size measurements were used to evaluate the wound healing process. Phosphorylation of signaling pathways was detected by WB, and efferocytosis receptor expression was measured using RNA sequencing, qPCR, and flow cytometry. siRNA and pathway inhibitors were used to investigate the roles of key receptors and signaling pathways in efferocytosis.

resultsWe identified SAVs at infected wound sites, linking them to delayed healing of wounds. SAVs inhibit efferocytosis by activating the TLR2-MyD88-p38 MAPK signaling pathway, which regulates efferocytosis receptor genes. This activation promoted cleavage and shedding of MerTK, a crucial receptor for macrophage-driven efferocytosis. Notably, selective inhibition of p38 MAPK prevented MerTK shedding, restored efferocytosis and accelerated wound healing significantly, offering a promising therapeutic approach for chronic, non-healing wounds.

conclusionThese findings uncover a novel mechanism in S. aureus-infected wounds, highlighting how the disruption of efferocytosis via the TLR2-MyD88-p38 MAPK-MerTK axis becomes a key force behind impaired healing of wounds. Targeting this pathway could open up a new therapeutic avenue facilitating the treatment of chronic, non-healing skin injuries.

Indexed as

Macrophagesp38 Mitogen-Activated Protein KinasesPhagocytosisStaphylococcus aureusWound HealingAnimalsc-Mer Tyrosine KinaseEfferocytosisExtracellular VesiclesMiceMice, Inbred C57BLMyeloid Differentiation Factor 88Receptor Protein-Tyrosine KinasesSignal TransductionSkinToll-Like Receptor 2c-Mer Tyrosine KinaseMertk protein, mouseMyeloid Differentiation Factor 88p38 Mitogen-Activated Protein KinasesReceptor Protein-Tyrosine KinasesTlr2 protein, mouseToll-Like Receptor 2EfferocytosisExtracellular vesiclesMerTKStaphylococcus aureusWound healing

Identifiers

PMID39780180
PMCPMC11708000

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.