Evidence map›Paper›PMID 42056966›Full record

ArticleBMC nephrology2026

Serum metabolites in relation to kidney function in non-transplant and kidney transplant settings using gas chromatography-mass spectrometry.

Yamei Li, Xingxin Gong, Yangjuan Bai, Lin Yan, Yunfei An, Hanjing Liu, Hua Zhang, Xinhua Dai

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

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5 · Who and what money

Authors and funding

8 authors.

Yamei Li *Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan province, China.
Xingxin Gong *Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan province, China.
Yangjuan BaiDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan province, China.
Lin YanDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan province, China.
Yunfei AnDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan province, China.
Hanjing LiuDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan province, China.
Hua ZhangDepartment of Pathology, General Hospital of Western Theater Command, Chengdu, Sichuan province, China. zh1217104734@qq.com.
Xinhua Dai *Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan province, China. daixinhua@scu.edu.cn.

Funding

National Natural Science Foundation of China 82302604Sichuan Science and Technology Program 2022ZYD0060
6 · The paper itself

Abstract

backgroundMetabolic disorders are highly prevalent in patients with native and transplanted chronic kidney disease (CKD). However, little is known about the metabolic similarities and differences associated with declining kidney function between non-transplant patients and kidney transplant recipients (KTRs).

methodsThis cross-sectional study employed gas chromatography-mass spectrometry to compare serum metabolomic profiles among native CKD subgroups and KTR subgroups, aiming to identify differential metabolites associated with kidney dysfunction in both clinical settings.

results11 and 13 metabolites were associated with kidney dysfunction in native CKD patients and KTRs, respectively. Among these, L-tryptophan, D-lyxose, xylitol, erythritol, 3,4-dihydroxybutanoic acid and 2,4-dihydroxybutanoic acid were selected as common differential metabolites in both cohorts. Pathway analysis revealed that the pentose and glucuronate interconversions pathway was significantly affected in native CKD patients, whereas phenylalanine, tyrosine, and tryptophan biosynthesis pathway and tyrosine metabolism pathway were the most affected pathways in KTRs. Further comparisons between native CKD and KTRs who were at the same kidney dysfunction stages demonstrated that KTRs showed significantly higher levels of malic acid, but lower levels of D-allose compared to native CKD patients.

conclusionsOur study not only identified the 6 metabolites associated with kidney function in both non-transplant patients and KTRs, but also determined 5 and 7 metabolites that were specifically associated with kidney dysfunction in native CKD patients and KTRs, respectively. These data suggest that the metabolic process may be influenced by the unique characteristics of kidney transplantation, such as allogeneic immunity and immunosuppressive drugs, in KTRs.

Indexed as

Kidney TransplantationRenal Insufficiency, ChronicAdultBiomarkersCross-Sectional StudiesFemaleGas Chromatography-Mass SpectrometryHumansMaleMetabolomicsMiddle AgedBiomarkersChronic kidney diseaseGas chromatography-mass spectrometryKidney transplantationMetabolomics

Identifiers

PMID42056966
PMCPMC13277178

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