Evidence map›Paper›PMID 30484158›Full record

ArticleJournal of microbiology (Seoul, Korea)2018

Comparative analysis of the gut microbiota in distinct statin response patients in East China.

Baoqing Sun, Luming Li, Xinfu Zhou

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Article in Journal of microbiology (Seoul, Korea), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. The Role of Gut Microbiota on Cholesterol Metabolism in Atherosclerosis.International journal of molecular sciences · 2021
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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

3 authors.

Baoqing SunWeihai Municipal Hospital, Weihai, 264200, P. R. China.
Luming LiWeihai Municipal Hospital, Weihai, 264200, P. R. China.
Xinfu ZhouWeihai Municipal Hospital, Weihai, 264200, P. R. China. m13455840233@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Statin response shows great interindividual variations. Recently, emerging studies have shown that gut microbiota is linked to therapeutic responses to drugs, including statins. However, the association between the gut bacteria composition and statin response is still unclear. In this study, gut microbiota of 202 hyperlipidemic patients with statin sensitive (SS) response and statin resistant (SR) response in East China were investigated by high throughput sequencing to compare the gut bacteria composition and biodiversity in distinct statin response patients. Higher biodiversity was detected in Group SS than Group SR. Specifically, group SS showed significantly increased proportion of genera Lactobacillus (P = 0.001), Eubacterium (P = 0.004), Faecalibacterium (P = 0.005), and Bifidobacterium (P = 0.002) and decreased proportion of genus Clostridium (P = 0.001) compared to Group SR. The results indicated that higher gut biodiversity was associated with statin sensitive response. The increased genera Lactobacillus, Eubacterium, Faecalibacterium, Bifidobacterium, and decreased genus Clostridium in patient gut microbiota may predict patient's statin response, and hence may guide statin dosage adjustments.

Indexed as

BacteriaBifidobacteriumBiodiversityChinaClostridiumDNA, BacterialEubacteriumFaecalibacteriumFecesGastrointestinal MicrobiomeGastrointestinal TractHigh-Throughput Nucleotide SequencingHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypercholesterolemiaLactobacillusDNA, BacterialHydroxymethylglutaryl-CoA Reductase Inhibitorsgut microbiotahyperlipidemiamicrobial diversitystatin response

Identifiers

What OpenQuestion holds

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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.