Evidence map›Paper›PMID 40304798›Full record

ArticleCell biology and toxicology2025

Lactate-induced macrophage HMGB1 lactylation promotes neutrophil extracellular trap formation in sepsis-associated acute kidney injury.

Siwei Wei, Zijuan Dai, Lei Wu, Zhen Xiang, Xiaoxiao Yang, Liubing Jiang, Zhen Du

Abstract read
In one paragraph

Article in Cell biology and toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Lactate Signal: Modulator of Cellular Energy Production and Anabolism.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  10. Lactylation: a novel post-translational modification for cGAS-STING pathway.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
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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

7 authors.

Siwei WeiDepartment of Anesthesiology, The Affiliated Children's Hospital Of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), No. 86, Ziyuan Road, Yuhua District, Changsha City, 410007, Hunan Province, China.
Zijuan DaiDepartment of Anesthesiology, The Fourth Hospital of Changsha (Affiliated Changsha Hospital of Hunan Normal University), Changsha City, Hunan Province, China.
Lei WuDepartment of Anesthesiology, The Affiliated Children's Hospital Of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), No. 86, Ziyuan Road, Yuhua District, Changsha City, 410007, Hunan Province, China.
Zhen XiangDepartment of Anesthesiology, The Affiliated Children's Hospital Of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), No. 86, Ziyuan Road, Yuhua District, Changsha City, 410007, Hunan Province, China.
Xiaoxiao YangDepartment of Anesthesiology, The Affiliated Children's Hospital Of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), No. 86, Ziyuan Road, Yuhua District, Changsha City, 410007, Hunan Province, China.
Liubing JiangDepartment of Anesthesiology, The Affiliated Children's Hospital Of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), No. 86, Ziyuan Road, Yuhua District, Changsha City, 410007, Hunan Province, China.
Zhen DuDepartment of Anesthesiology, The Affiliated Children's Hospital Of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), No. 86, Ziyuan Road, Yuhua District, Changsha City, 410007, Hunan Province, China. hnsetyymzktg@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeutrophils play a key role in sepsis-associated acute kidney injury (SAKI), a common and life-threatening complication of organ failure. High mobility group box 1 (HMGB1) modulates inflammatory responses and the formation of neutrophil extracellular traps (NETs). The present work aimed to explore whether HMGB1 lactylation promotes NET formation and exacerbates SAKI.

methodsVenous blood samples were collected from healthy volunteers and SAKI patients. A SAKI mouse model was established using the cecal ligation and puncture method. A coculture system of macrophage-derived exosomes and neutrophils was established. Macrophage-derived exosomes were isolated and identified. ELISAs, immunofluorescence staining, coimmunoprecipitation, and Western blotting were utilized to determine protein levels.

resultsElevated blood lactate levels were associated with increased HMGB1 levels in patients with SAKI. In mouse models, lactate increased HMGB1 expression, promoted NET formation, and exacerbated SAKI. Lactate stimulated M1 macrophages to secrete exosomes, leading to the accumulation and release of HMGB1 in the cytoplasm. Additionally, lactate promoted HMGB1 lactylation in macrophages, triggering the release of mitochondrial DNA from neutrophils and activating the cyclic GMP‒AMP synthase/stimulator of interferon genes pathway.

conclusionThis study revealed that lactate-induced HMGB1 lactylation in macrophages plays a role in promoting NET formation in SAKI through the cGAS/STING pathway. These findings suggest that HMGB1 could be a potential target for therapeutic intervention in SAKI.

Indexed as

Acute Kidney InjuryExtracellular TrapsHMGB1 ProteinLactic AcidMacrophagesSepsisAnimalsDisease Models, AnimalExosomesFemaleHumansMaleMiceMice, Inbred C57BLMiddle AgedNeutrophilsHMGB1 ProteinHMGB1 protein, humanLactic AcidAcute kidney injuryHMGB1LactylationMacrophagesNeutrophil Extracellular TrapSepsis

Identifiers

PMID40304798
PMCPMC12043764

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.