Evidence map›Paper›PMID 29871692›Full record

ArticleArthritis research & therapy2018

Metabolomics approach by

Yannan Zhang, Huanzhen Zhang, Dong Chang, Fuchuan Guo, Hongzhi Pan, Yuexin Yang

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. A metabolomic signatures in hyperuricemia: a systematic review.Metabolomics : Official journal of the Metabolomic Society · 2026
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  18. The relationship between metabolites and gout: a Mendelian randomization study.American journal of clinical and experimental immunology · 2024
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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

6 authors at 6 institutions in 1 country.

Yannan ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, 750004, China.
Huanzhen ZhangDepartment of Obstetrics and Gynecology, Tai'an Hospital of Traditional Chinese Medicine, Tai'an, 271000, China.
Dong ChangDepartment of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201301, China.
Fuchuan GuoDepartment of Nutrition and Food Safety, School of Public Health, Fujian Medical University, Fuzhou, 350122, China.
Hongzhi PanDepartment of Sanitary Inspection, Shanghai University of Medical & Health Sciences, Shanghai, 201318, China. panhongzhilaoshi@163.com.
Yuexin YangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China. yxyang@263.net.
Chinese Center For Disease Control and Prevention · CNFudan University · CNFujian Medical University · CNNingxia Medical University · CNShanghai University of Medicine and Health Sciences · CNShanxi Province Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGout is a metabolic disease and is the most common form of inflammatory arthritis affecting men. However, the pathogenesis of gout is still uncertain, and novel biomarkers are needed for early prediction and diagnosis of gout. The aim of this study was to develop a systemic metabolic profile of patients with asymptomatic hyperuricemia (HUA) and gout by using a metabolomics approach, and find potential pathophysiological mechanisms of and markers of predisposition to gout.

methodsSerum samples were collected from 149 subjects, including 50 patients with HUA, 49 patients with gout and 50 healthy controls.

resultsBy serum metabolic profiling, 21 metabolites including lipids and amino acids were significantly altered in patients with HUA or gout. The levels of identified biomarkers together with clinical data showed apparent alteration trends in patients with HUA or gout compared to healthy individuals. According to pathway analysis, three and five metabolic pathways were remarkably perturbed in patients with HUA or gout, respectively. These enriched pathways involve in lipid metabolism, carbohydrate metabolism, amino acids metabolism and energy metabolism.

conclusionsTaken together, we identified the biomarker signature for HUA and gout, which provides biochemical insights into the metabolic alteration, and identified a continuous progressive axis of development from HUA to gout.

Indexed as

Disease ProgressionAdultBiomarkersFemaleGoutHumansHyperuricemiaMagnetic Resonance SpectroscopyMaleMetabolomicsMiddle AgedBiomarkersBiomarkersGoutHyperuricemiaMetabolomicsNMR

Identifiers

PMID29871692
PMCPMC5989453
OpenAlexW2805071249

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.