Evidence map›Paper›PMID 42758525›Full record

ArticleClinical and translational medicine2026

Arginase 2 deficiency mitigates sepsis-associated acute kidney injury by alleviating lipid accumulation.

Yu Xin, Yanqi Liu, Ning Zhang, Pengfei Huang, Qianqian Zhang, Yinghao Luo, Xinran Wang, Xiuhua Zhang, Tao Wu, Fengye Liu and 14 more

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

24 authors.

Yu Xin *Department of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Yanqi Liu *Department of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Ning Zhang *Department of Critical Care Medicine, Shenzhen People's Hospital (The First Affiliated Hospital of Southern University of Science and Technology), Shenzhen, China.
Pengfei Huang *Department of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Qianqian Zhang *Department of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Yinghao LuoDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Xinran WangDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Xiuhua ZhangDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Tao WuDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Fengye LiuDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Yu XiaoDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Lifeng ShenDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Weiting ZhangDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0009-0006-4915-9241
Xibo WangDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Xianglin MengDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0001-5091-3260
Yuping BaiDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Xuan WangDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Nan ZhangDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Qianghong XuDepartment of Critical Care Medicine, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Hongxue MengDepartment of pathology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang Province, China.
Xubin ZhengSchool of Computing and Information Technology, Great Bay University, Guangdong, China.ORCID https://orcid.org/0000-0003-2322-857X
Lixin ChengDepartment of Critical Care Medicine, Shenzhen People's Hospital (The First Affiliated Hospital of Southern University of Science and Technology), Shenzhen, China.ORCID https://orcid.org/0000-0002-9427-383X
Kaijiang YuDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Changsong WangDepartment of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0002-0079-5259

Funding

National Natural Science Foundation of China 32370711National Natural Science Foundation of China 82430069National Natural Science Foundation of China 82472198National Natural Science Foundation of China 82672824Shenzhen Medical Research Fund A2303033Zhejiang Provincial Applied Basic Research Program Project 2026C02A1159
6 · The paper itself

Abstract

backgroundSepsis-associated acute kidney injury (S-AKI) imposes substantial morbidity and mortality burdens in critically ill populations. This study aimed to construct a spatiotemporal multi-omics atlas of kidneys in a mouse model of S-AKI using spatial metabolomics and proteomics, and to explore potential therapeutic targets for S-AKI.

methodsA spatiotemporal multi-omics atlas of S-AKI mouse kidneys was constructed using spatial metabolomics and proteomics. Arginine metabolism was evaluated via L-arginine supplementation. ARG2 was inhibited by nor-NOHA or renal tubule-specific knockdown. Kidney injury was assessed by histopathology, real-time glomerular filtration rate (RT-GFR), serum serum urea nitrogen (BUN), and injury markers. RNA-seq and serum metabolomics elucidated nor-NOHA's mechanism, with in vivo verification of pathway activation and lipid reduction. In vitro studies used ARG2 KO renal primary tubular epithelial cells (RPTCs) and kidney organoids.

resultsArginine metabolism played a crucial role, but L-arginine supplementation did not improve renal function. ARG2 was significantly upregulated in proximal and distal tubules of the renal outer medulla and in macrophages. Treatment with the arginase inhibitor nor-NOHA or knockdown of ARG2 in renal tubules significantly alleviated kidney injury, as evidenced by reduced tubular injury, increased RT-GFR, decreased BUN, and reduced injury markers. RNA-seq and serum metabolomics showed that nor-NOHA significantly reduced lipid accumulation in renal tubules and serum, with significant enrichment of the peroxisome proliferator-activated receptor (PPAR) pathway centered around PPARγ. In vivo experiments confirmed pathway activation and alleviation of lipid accumulation. In vitro experiments using RPTCs from ARG2 knockout mice and human kidney organoid model revealed that ARG2 knockout restored PPARγ expression and reduced tubular lipid accumulation.

conclusionsInhibiting ARG2 in renal tubules during S-AKI may alleviate lipid accumulation and kidney injury by activating PPARγ, providing a new therapeutic strategy. KEY POINTS: Spatiotemporal multi-omics analysis constructed a detailed atlas of S-AKI kidneys, revealing the regional specificity of metabolic and protein expression in different kidney regions during the progression from sepsis to S-AKI. Arginine metabolism plays a key role in the pathogenesis of S-AKI, with arginine levels continuously decreasing in S-AKI and significantly correlating with renal function. In S-AKI, ARG2 expression increases, mainly localizing to renal tubular cells and macrophages. Renal tubule-specific ARG2 knockdown reduces renal tubular lipid accumulation and kidney injury in S-AKI, likely playing an important role by regulating PPARγ to affect lipid accumulation. The kidney organoids with ARG2 knockout further confirmed the key role of ARG2 in S-AKI, providing a new therapeutic target for S-AKI treatment.

Indexed as

Acute Kidney InjuryArginaseLipid MetabolismSepsisAnimalsArginineDisease Models, AnimalMaleMetabolomicsMiceMice, Inbred C57BLMice, KnockoutArg2 protein, mouseArginaseArgininearginase 2L‐argininesepsis‐associated acute kidney injuryspatial multi‐omics

Identifiers

PMID42758525
PMCPMC13588275

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.