Evidence map›Paper›PMID 36619742›Full record

ArticleFrontiers in cellular and infection microbiology2022

Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhage.

Lei Chen, Sai Wang, Yupeng Zhang, Ye Li, Xiangbin Zhang, Junyi Ma, Xuelun Zou, TianXing Yao, Si Li, Junyou Chen and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.4field-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, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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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 2 institutions in 1 country.

Lei ChenDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Sai WangDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yupeng ZhangDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ye LiDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiangbin ZhangDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Junyi MaDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xuelun ZouDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
TianXing YaoDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Si LiDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Junyou ChenDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Huifang ZhouDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Lianxu WuDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yanhong ZhouCancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan, China.
Le ZhangDepartment of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracerebral hemorrhage (ICH) is the most devastating subtype of stroke, but effective prevention and treatment strategies are lacking. Recently, gut microbiome and its metabolitesis are considered to be an influencing factor of stroke. However, little is known about the effects of the gut microbiome on ICH and host metabolic activity. Therefore, we used 16S sequencing, macrogenomics sequencing and untargeted metabolomics to explore the differences in gut microbial-metabolome interactions between patients with intracerebral hemorrhage and healthy control populations. We found a significant decrease in the phylum of

Indexed as

MicrobiotaStrokeCerebral HemorrhageHumansMetabolomeMetabolomicsMultiomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16Sgut microbiomeintracerebral hemorrhagemetabolitesmetabolomicsmetagenomic

Identifiers

PMID36619742
PMCPMC9813413
OpenAlexW4312187937

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.