Evidence map›Paper›PMID 36505257›Full record

ArticleFrontiers in nutrition2022

Gamma-glutamyl-leucine levels are causally associated with elevated cardio-metabolic risks.

Qiong Wu, Jiankang Li, Jinghan Zhu, Xiaohui Sun, Di He, Jun Li, Zongxue Cheng, Xuhui Zhang, Yuying Xu, Qing Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

24 citing papers in PubMed, 28 citations in OpenAlex.

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  4. Comparative urinary metabolomics reveals unique and shared pathways in COVID-19 and liver diseases.Metabolomics : Official journal of the Metabolomic Society · 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

12 authors at 7 institutions in 1 country.

Qiong WuDepartment of Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jiankang LiInstitute of Medical Research, Northwestern Polytechnical University, Xi'an, China.
Jinghan ZhuThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Xiaohui SunDepartment of Epidemiology and Biostatistics, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Di HeDepartment of Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jun LiDepartment of Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zongxue ChengDepartment of Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xuhui ZhangHangzhou Center for Disease Control and Prevention, Hangzhou, China.
Yuying XuDepartment of Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Qing ChenZhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China.
Yimin ZhuDepartment of Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Maode LaiKey Laboratory of Disease Proteomics of Zhejiang Province, Department of Pathology, School of Medicine, Zhejiang University, Hangzhou, China.
Zhejiang University · CNSir Run Run Shaw Hospital · CNChina Pharmaceutical University · CNHangzhou Center for Disease Control and Prevention · CNSouthern Medical University · CNZhejiang Center for Disease Control and Prevention · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Gamma-glutamyl dipeptides are bioactive peptides involved in inflammation, oxidative stress, and glucose regulation. Gamma-glutamyl-leucine (Gamma-Glu-Leu) has been extensively reported to be associated with the risk of cardio-metabolic diseases, such as obesity, metabolic syndrome, and type 2 diabetes. However, the causality remains to be uncovered. The aim of this study was to explore the causal-effect relationships between Gamma-Glu-Leu and metabolic risk. Materials and methods: In this study, 1,289 subjects were included from a cross-sectional survey on metabolic syndrome (MetS) in eastern China. Serum Gamma-Glu-Leu levels were measured by untargeted metabolomics. Using linear regressions, a two-stage genome-wide association study (GWAS) for Gamma-Glu-Leu was conducted to seek its instrumental single nucleotide polymorphisms (SNPs). One-sample Mendelian randomization (MR) analyses were performed to evaluate the causality between Gamma-Glu-Leu and the metabolic risk. Results: Four SNPs are associated with serum Gamma-Glu-Leu levels, including rs12476238, rs56146133, rs2479714, and rs12229654. Out of them, rs12476238 exhibits the strongest association (Beta = -0.38, S.E. = 0.07 in discovery stage, Beta = -0.29, S.E. = 0.14 in validation stage, combined Conclusion: Four SNPs (rs12476238, rs56146133, rs2479714, and rs12229654) may regulate the levels of serum Gamma-Glu-Leu. Higher Gamma-Glu-Leu levels are causally linked to cardio-metabolic risks. Future prospective studies on Gamma-Glu-Leu are required to explain its role in metabolic disorders.

Indexed as

Gamma-glutamyl-leucineGWASMendelian randomizationmetabolic risk factorsmetabolic syndrome

Identifiers

PMID36505257
PMCPMC9729530
OpenAlexW4309916608

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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.