Evidence map›Paper›PMID 35282443›Full record

ArticleFrontiers in endocrinology2022

Blood Bacterial 16S rRNA Gene Alterations in Women With Polycystic Ovary Syndrome.

Qing Wang, Qi Wang, Lanbo Zhao, Yadi Bin, Li Wang, Lei Wang, Kailu Zhang, Qiling Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.0field-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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Pathological Alterations in Human Blood Microbiome-An Updated Review.International journal of molecular sciences · 2025
    Review
  3. Review
  4. All Properties of Infertility Microbiome in a Review Article.Journal of clinical laboratory analysis · 2025
    Review
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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

8 authors at 1 institution in 1 country.

Qing WangObstetrics and Gynecology Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Qi WangObstetrics and Gynecology Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Lanbo ZhaoObstetrics and Gynecology Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yadi BinObstetrics and Gynecology Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Li WangObstetrics and Gynecology Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Lei WangObstetrics and Gynecology Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Kailu ZhangObstetrics and Gynecology Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Qiling LiObstetrics and Gynecology Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Evidence proved the association between gut microbiome dysbiosis and polycystic ovary syndrome (PCOS) in metabolic disorder, decreased fertility, and hyperandrogenism. However, alterations in blood microbiome of PCOS remained unknown. Objective: This study aims to measure the blood microbiome profile of PCOS patients compared with healthy controls by 16S rRNA sequencing and to investigate its association with PCOS. Methods: In this case-control study, bacterial DNA in blood of 24 PCOS patients and 24 healthy controls was investigated by 16S rRNA gene sequencing using the MiSeq technology. Alpha and beta diversity were used to analyze within-sample biodiversity and similarity of one group to another, respectively. Linear discriminant analysis effect size (LEfSe) was calculated to determine biomarkers between groups. Kyoto Encyclopedia of Genes and Genomes (KEGG) functional prediction was performed at genera level. Result: Alpha diversity of blood microbiome decreased significantly in women with PCOS, and beta diversity analysis demonstrated a major separation between the two groups. In the PCOS group, the relative abundance of Conclusion: Our findings demonstrated that blood microbiome had a significantly lower alpha diversity, different beta diversity, and significant taxonomic variations in PCOS patients compared with healthy controls.

Indexed as

Gastrointestinal MicrobiomePolycystic Ovary SyndromeCase-Control StudiesFemaleGenes, rRNAHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16S16s rRNAbloodmicrobiomePCOSsequencing

Identifiers

PMID35282443
PMCPMC8908962
OpenAlexW4225335644

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.