Evidence map›Paper›PMID 35118005›Full record

ArticleFrontiers in cellular and infection microbiology2021

Variation of Serum Uric Acid Is Associated With Gut Microbiota in Patients With Diabetes Mellitus.

Weifeng Zhang, Ting Wang, Ruixue Guo, Wen Cui, Wei Yu, Zhihui Wang, Yumin Jiang, Minghan Jiang, Xiaojie Wang, Chao Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 35 citations in OpenAlex.

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  15. Rational design of a genome-based insulated system inBioengineering & translational medicine · 2023
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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

14 authors at 4 institutions in 2 countries.

Weifeng ZhangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ting WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ruixue GuoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wen CuiDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wei YuDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhihui WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yumin JiangDepartment of Emergency, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Minghan JiangDepartment of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Xiaojie WangDepartment of Pharmacology, Shandong University School of Basic Medical Sciences, Jinan, China.
Chao LiuShanghai Mobio Biomedical Technology Co., Ltd., Shanghai, China.
Jing XiaoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jin ShangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xuejun WenDepartment of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA, United States.
Zhanzheng ZhaoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNShandong University · CNShandong University of Traditional Chinese Medicine · CNVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a metabolic disease closely related to a disordered gut microbiome. Diabetic patients usually suffer from various metabolic disorders, such as increased serum uric acid levels. Although serum uric acid levels depend partially on intestine excretion, the relationship between uric acid and gut microbiome in diabetic patients remains unknown. We collected a total of 126 fecal samples from diabetic patients for 16S ribosomal RNA gene amplicon sequencing and recorded clinical data. We analyzed the correlation between clinical indicators and gut microbiota of diabetic patients using Spearman analysis. Since uric acid was the most prominent one, we classified diabetic patients based on their uric acid levels to find the microbiome associated with uric acid disturbance. We constructed Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway profiles using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) to identify variations between the different groups. Among all the clinical indicators, uric acid had the strongest correlation with gut microbiota. First, we divided the patients into three groups according to their uric acid levels. The two low uric acid groups were similar, while the elevated uric acid group had significant differences in gut microbiota and metabolic pathways. The elevated uric acid group had a significantly lower gut microbiota diversity. At the genus level, this group had remarkably higher

Indexed as

Diabetes MellitusGastrointestinal MicrobiomeFecesHumansPhylogenyRNA, Ribosomal, 16SUric AcidRNA, Ribosomal, 16SUric Acid16S rRNAdiabetes mellitusgut microbiotametabolismuric acid

Identifiers

PMID35118005
PMCPMC8803748
OpenAlexW4206056722

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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 OpenQuestion graph.