Evidence map›Paper›PMID 34836140›Full record

SynthesisNutrients2021

The Impact of Microbial Composition on Postprandial Glycaemia and Lipidaemia: A Systematic Review of Current Evidence.

Megan L Wilson, Ian G Davies, Weronika Waraksa, Sayyed S Khayyatzadeh, Maha Al-Asmakh, Mohsen Mazidi

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Review
  8. Chrono-Nutrition: Circadian Rhythm and Personalized Nutrition.International journal of molecular sciences · 2023
    Review
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

6 authors at 4 institutions in 3 countries.

Megan L WilsonResearch Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool L3 3AF, UK.
Ian G DaviesResearch Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool L3 3AF, UK.ORCID 0000-0003-3722-8466
Weronika WaraksaResearch Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool L3 3AF, UK.
Sayyed S KhayyatzadehNutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Yazd 8916188635, Iran.
Maha Al-AsmakhDepartment of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha 2713, Qatar.
Mohsen MazidiMedical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK.
Liverpool John Moores University · GBKing's College London · GBQatar University · QAShahid Sadoughi University of Medical Sciences and Health Services · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postprandial hyperglycaemia is associated with increased risk of cardiovascular disease. Recent studies highlight the role of the gut microbiome in influencing postprandial glycaemic (PPG) and lipidaemic (PPL) responses. The authors of this review sought to address the question: "To what extent does individual gut microbiome diversity and composition contribute to PPG and PPL responses?". CINAHL Plus, PubMed, Web of Science, and the Cochrane Central Register of Controlled Trials (CENTRAL) databases were searched from January 2010 to June 2020. Following screening, 22 studies were eligible to be included in the current review. All trials reported analysis of gut microbiome diversity and composition and PPG and/or PPL. Results were reported according to the 'Preferred Reporting Items for Systematic Reviews and Meta-Analysis' (PRISMA) statement. Individual microbiota structure was found to play a key role in determining postprandial metabolic responses in adults and is attributed to a complex interplay of diet, microbiota composition, and metagenomic activity, which may be predicted by metagenomic analysis. Alterations of gut microbiota, namely relative abundance of bacterial phylum Actinobacteria and Proteobacteria, along with Enterobacteriaceae, were associated with individual variation in postprandial glycaemic response in adults. The findings of the current review present new evidence to support a personalised approach to nutritional recommendations and guidance for optimal health, management, and treatment of common metabolic disorders. In conclusion, personalised nutrition approaches based on individual microbial composition may improve postprandial regulation of glucose and lipids, providing a potential strategy to ameliorate cardiometabolic health outcomes.

Indexed as

Gastrointestinal MicrobiomeHumansHyperglycemiaHyperlipidemiasNutritional Physiological PhenomenaPostprandial Periodanimalsblood glucosedyslipidaemiasgastrointestinal microbiomeglycaemic controlhumanslipid metabolismlipidslipoproteinsmicrobiotapostprandial period

Identifiers

PMID34836140
PMCPMC8625294
OpenAlexW3209308573

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.