Evidence map›Paper›PMID 39966264›Full record

ArticleAmino acids2025

Serum amino acid alterations in hyperuricemia: potential targets for renal disease prevention.

Qinglin Sheng, Yuqing Ma, Bingjie Geng, Jiahui Chen, Junfei Cheng, Su Liu, Rui Li, Xiangtong Li, Jing Wang, Hongtao Lu and 2 more

Abstract read
In one paragraph

Article in Amino acids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Qinglin ShengUniversity of Shanghai for Science and Technology, Shanghai, 200093, China.
Yuqing MaDepartment of Naval Medicine, Naval Medical University, Shanghai, 200093, China.
Bingjie GengDepartment of Naval Medicine, Naval Medical University, Shanghai, 200093, China.
Jiahui ChenDepartment of Naval Medicine, Naval Medical University, Shanghai, 200093, China.
Junfei ChengDepartment of Naval Medicine, Naval Medical University, Shanghai, 200093, China.
Su LiuDepartment of Naval Medicine, Naval Medical University, Shanghai, 200093, China.
Rui LiDepartment of Naval Medicine, Naval Medical University, Shanghai, 200093, China.
Xiangtong LiDepartment of Naval Medicine, Naval Medical University, Shanghai, 200093, China.
Jing WangDepartment of Naval Medicine, Naval Medical University, Shanghai, 200093, China.
Hongtao LuDepartment of Naval Medicine, Naval Medical University, Shanghai, 200093, China.
Fangyuan GaoDepartment of Naval Medicine, Naval Medical University, Shanghai, 200093, China.
Fu GaoUniversity of Shanghai for Science and Technology, Shanghai, 200093, China. gaofusmmu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Observational studies have linked uric acid (UA) levels and kidney disease to amino acid homeostasis, but the causal relationship is unclear. This study aims to determine if elevated UA affects amino acid levels and whether amino acids mediate this relationship, focusing on the causal links between UA, circulating amino acids, and kidney disease.

methodsThis study utilized Uox-KO mice as a hyperuricemia model, assessed renal injury through blood biochemistry and pathology, analyzed serum amino acid changes via targeted amino acidomics, and employed Mendelian randomization to investigate the causal links between uric acid, amino acids, and renal disease.

resultsHyperuricemia Uox-KO mice have significantly higher serum UA and renal impairment markers, with histopathological analysis showing extensive renal tissue damage. Changes in amino acid balance were found in the mice's serum, with key metabolites like alanine, isoleucine, leucine, aspartic acid, cysteine, glutamate, and glycine potentially influencing UA pathophysiology. Genetically predicted UA was positively correlated with chronic renal failure (CRF) and blood urea nitrogen(BUN) levels and negatively with serum cystatin C (eGFRcys) and serum creatinine (eGFRcrea). Alanine (Ala) mediated the effect of UA on elevated CRF and BUN risk, accounting for 4.5% of the UA-CRF relationship and 14.4% of the UA-BUN association.

conclusionIn hyperuricemia mice, serum amino acids undergo metabolic changes. Genetically predicted UA levels are positively linked to CRF and BUN, but negatively linked to eGFRcys and eGFRcrea. Ala mediates UA's effect on CRF and BUN risk, indicating Ala could be a target for preventing renal diseases caused by hyperuricemia.

Indexed as

Amino AcidsHyperuricemiaKidney DiseasesAnimalsBlood Urea NitrogenDisease Models, AnimalHumansMaleMiceMice, KnockoutUric AcidAmino AcidsUric AcidAmino acidomicsHyperuricemiaMediating effectMendelian randomizationUric acid

Identifiers

PMID39966264
PMCPMC11836093

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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.