Evidence map›Paper›PMID 38888975›Full record

ArticleJCI insight2024

Treg and neutrophil extracellular trap interaction contributes to the development of immunosuppression in sepsis.

Yuxin Shi, Dan Wu, Yanghanzhao Wang, Yuwen Shao, Fu Zeng, Di Zhou, Hao Zhang, Changhong Miao

Abstract read
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  13. IL-1βCell death discovery · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yuxin ShiDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Dan WuDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yanghanzhao WangDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yuwen ShaoDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fu ZengDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Di ZhouDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Hao ZhangDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Changhong MiaoDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The excessive formation and release of neutrophil extracellular traps (NETs) in sepsis may represent a substantial mechanism contributing to multiorgan damage, which is associated with a poor prognosis. However, the precise role of NETs in mediating the transition from innate immunity to adaptive immunity during the progression of inflammation and sepsis remains incompletely elucidated. In this study, we provide evidence that, despite a reduction in the number of CD4+ T cells in the late stage of sepsis, there is a notable upregulation in the proportion of Tregs. Mechanistically, we have identified that NETs can induce metabolic reprogramming of naive CD4+ T cells through the Akt/mTOR/SREBP2 pathway, resulting in enhanced cholesterol metabolism, thereby promoting their conversion into Tregs and augmenting their functional capacity. Collectively, our findings highlight the potential therapeutic strategy of targeting intracellular cholesterol normalization for the management of immunosuppressed patients with sepsis.

Indexed as

Extracellular TrapsSepsisT-Lymphocytes, RegulatoryAnimalsCholesterolFemaleHumansImmune ToleranceMaleMiceMice, Inbred C57BLNeutrophilsTOR Serine-Threonine KinasesCholesterolTOR Serine-Threonine KinasesAdaptive immunityImmunologyImmunotherapyInflammationT cell development

Identifiers

PMID38888975
PMCPMC11383165

What OpenQuestion holds

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Registered trials

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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.