Evidence map›Paper›PMID 37391847›Full record

ArticleJournal of translational medicine2023

Alterations of gut microbiota are associated with blood pressure: a cross-sectional clinical trial in Northwestern China.

Jing Lv, Jihan Wang, Yan Yu, Mengyao Zhao, Wenjuan Yang, Junye Liu, Yan Zhao, Yanjie Yang, Guodong Wang, Lei Guo and 1 more

Open access · goldAbstract readControlled Clinical Trial
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Frontiers in microbiology · 2025
    Article
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  10. Review
  11. Article
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  14. Revisiting sex as a biological variable in hypertension research.The Journal of clinical investigation · 2024
    Review
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  16. Article
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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

11 authors at 4 institutions in 1 country.

Jing Lv *Department of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Jihan Wang *Institute of Medical Research, Northwestern Polytechnical University, Xi'an, China.
Yan YuDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Mengyao ZhaoDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Wenjuan YangDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Junye LiuDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Yan ZhaoDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Yanjie YangDepartment of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Guodong WangDepartment of Quality Control, Xi'an Mental Health Center, Xi'an, China.
Lei GuoDepartment of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China. guolei0711@163.com.ORCID 0000-0002-5166-5374
Heping ZhaoDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China. redcrossjyk@163.com.
Xi'an Honghui Hospital · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNNorthwestern Polytechnical University · CNXian Mental Health Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe human gut microbiota (GM) is involved in the pathogenesis of hypertension (HTN), and could be affected by various factors, including sex and geography. However, available data directly linking GM to HTN based on sex differences are limited.

methodsThis study investigated the GM characteristics in HTN subjects in Northwestern China, and evaluate the associations of GM with blood pressure levels based on sex differences. A total of 87 HTN subjects and 45 controls were recruited with demographic and clinical characteristics documented. Fecal samples were collected for 16S rRNA gene sequencing and metagenomic sequencing.

resultsGM diversity was observed higher in females compared to males, and principal coordinate analysis showed an obvious segregation of females and males. Four predominant phyla of fecal GM included Firmicutes, Bacteroidetes, Actinobacteria and Proteobacteria. LEfSe analysis indicated that phylum unidentified_Bacteria was enriched in HTN females, while Leuconostocaceae, Weissella and Weissella_cibaria were enriched in control females (P < 0.05). Functionally, ROC analysis revealed that Cellular Processes (0.796, 95% CI 0.620 ~ 0.916), Human Diseases (0.773, 95% CI 0.595 ~ 0.900), Signal transduction (0.806, 95% CI 0.631 ~ 0.922) and Two-component system (0.806, 95% CI 0.631 ~ 0.922) could differentiate HTN females as effective functional classifiers, which were also positively correlated with systolic blood pressure levels.

conclusionsThis work provides evidence of fecal GM characteristics in HTN females and males in a northwestern Chinese population, further supporting the notion that GM dysbiosis may participate in the pathogenesis of HTN, and the role of sex differences should be considered. Trial registration Chinese Clinical Trial Registry, ChiCTR1800019191. Registered 30 October 2018 - Retrospectively registered, http://www.chictr.org.cn/ .

Indexed as

Gastrointestinal MicrobiomeHypertensionBlood PressureChinaCross-Sectional StudiesFemaleHumansMaleRNA, Ribosomal, 16SRNA, Ribosomal, 16SBlood pressureGut microbiotaHypertensionMetagenomeNorthwestern ChinaSex difference

Identifiers

PMID37391847
PMCPMC10311887
OpenAlexW4382776607

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.