Evidence map›Paper›PMID 39696333›Full record

ArticleCardiovascular diabetology2024

Metabolomic studies reveal and validate potential biomarkers of diabetic retinopathy in two Chinese datasets with type 2 diabetes: a cross-sectional study.

Xingchen Zhou, Guixue Hou, Xin Wang, Zhaoyi Peng, Xiaoming Yin, Jing Yang, Shan Wang, Yayi He, Yue Wang, Jing Sui and 6 more

Abstract readValidation Study
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

16 authors.

Xingchen Zhou *Department of Endocrinology, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
Guixue Hou *BGI-SHENZHEN, Building NO.7, BGI Park, No. 21 Hongan 3rd Street, Yantian District, Shenzhen, Guangdong, 518083, People's Republic of China.
Xin WangMed-X Institute, Center for Immunological and Metabolic Diseases, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an JiaoTong university, Xi'an, Shaanxi, 710061, People's Republic of China.
Zhaoyi PengDepartment of Endocrinology, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
Xiaoming YinChengdu HuiXin Life Technology, Chengdu, Sichuan, 610091, People's Republic of China.
Jing YangDepartment of Endocrinology, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
Shan WangMed-X Institute, Center for Immunological and Metabolic Diseases, The First Affiliated Hospital of Xi'an JiaoTong University, Xi'an JiaoTong university, Xi'an, Shaanxi, 710061, People's Republic of China.
Yayi HeDepartment of Endocrinology, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
Yue WangDepartment of Endocrinology, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
Jing SuiDepartment of Endocrinology and International Medical Center, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
Wei QiangDepartment of Endocrinology, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
Hui GuoDepartment of Endocrinology, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
Yanan WangDepartment of Endocrinology, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
Liang Lin *BGI-SHENZHEN, Building NO.7, BGI Park, No. 21 Hongan 3rd Street, Yantian District, Shenzhen, Guangdong, 518083, People's Republic of China. linl@genomics.cn.
Bingyin Shi *Department of Endocrinology, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China. shibingy@126.com.
Mingqian He *Department of Endocrinology, The First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China. mingqian_he@xjtufh.edu.cn.

Funding

the Clinical Research Award of the First Affiliated Hospital of Xi'an Jiaotong University (No.XJTU1AF-CRF-2022-019the Key Research and Development Program of Shaanxi No. 2023-ZDLSF-40the Natural Science Foundation Program of Shaanxi 2024JC-YBQN-0828the Natural Science Foundation Program of Shaanxi No. 2023-JC-QN-0927Xi'an Innovation Capability Strengthening Foundation Plan No.21YXYJ0111
6 · The paper itself

Abstract

backgroundDiabetic retinopathy (DR) is a major microvascular complication of diabetes mellitus and causes vision impairment and blindness. The presence of major risk factors for DR, such as high levels of HbA1c, does not predict all DR pathogenesis in the clinic, which suggests that uncovering the underlying mechanisms and identifying novel markers are needed. Previous evidence has shown that the serum metabolic signature of DR is unique and detectable compared with that of diabetes mellitus (DM). Here, we aimed to identify serum metabolites as reliable biomarkers for the presence of DR in type 2 DM (T2DM) patients.

methodsWe performed untargeted and targeted metabolomic studies using liquid chromatography‒mass spectrometry (LC‒MS) and multiple reaction monitoring (MRM) methods on the serum samples of T2DM patients. For the discovery dataset, 39 DR patients and 39 non-DR (NDR) patients were included. For the validation dataset, 95 DR patients and 95 non-DR (NDR) patients were included. Receiver operating characteristic curve analysis was performed to evaluate the discriminating power of the metabolites. Binary logistic regression models were fit to evaluate the associations of metabolite peak areas or neurotransmitter concentrations with the presence of DR and adjusted for known risk factors.

resultsA total of 7123 metabolites were tested. The 39 DR patients had a mean age of 56 years with an average diabetes duration of 12 years, and the 39 NDR patients had a mean age of 57 years with an average diabetes duration of 11 years. Nine serum candidate markers were further identified. Six out of nine markers were associated with DR after we adjusted for covariates, including blood pressure, HbA1c, diabetes duration, fasting blood glucose, triglyceride, eGFR etc. Among them, eicosapentaenoic acid (EPA) and L-tyrosine were validated in an independent, risk factor-matched sample set. The serum L-tyrosine concentration was decreased in DR group by 47% (-0.22 ± 0.87 vs. 0.48 ± 1.05, P < 0.001), of which the cutoff value was 0.10 mg/ml, with 86% sensitivity and 40% specificity (AUC = 0.62, 95% CI = 0.54-0.70, P = 0.005).

conclusionsLow levels of circulating L-Tyrosine indicate retinopathy occurrence in T2DM population.

Indexed as

BiomarkersDiabetes Mellitus, Type 2Diabetic RetinopathyMetabolomicsPredictive Value of TestsAgedCase-Control StudiesChinaChromatography, LiquidCross-Sectional StudiesDatasets as TopicEast Asian PeopleFemaleHumansMaleMass SpectrometryBiomarkersBiomarkersDiabetes mellitus, type 2Diabetic retinopathyEicosapentaenoic acidLiquid chromatography-mass spectrometryMetabolite biomarkersTyrosine metabolism

Identifiers

PMID39696333
PMCPMC11657842

What Socratic holds

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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 Socratic graph.