Evidence map›Paper›PMID 31964751›Full record

ArticleGut2020

Longitudinal metabolic and gut bacterial profiling of pregnant women with previous bariatric surgery.

Kiana Ashley West, Chidimma Kanu, Tanya Maric, Julie Anne Kathryn McDonald, Jeremy K Nicholson, Jia V Li, Mark R Johnson, Elaine Holmes, Makrina D Savvidou

Open access · hybridAbstract read
In one paragraph

Article in Gut, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 29 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

9 authors at 3 institutions in 2 countries.

Kiana Ashley West *Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0002-1896-7936
Chidimma Kanu *Obstetrics & Gynaecology, Chelsea and Westminster Hospital, Institute of Reproductive Developmental Biology, Department of Metabolism, Digestion & Reproduction, Faculty of Medicine, Imperial College London, London, UK.
Tanya MaricObstetrics & Gynaecology, Chelsea and Westminster Hospital, Institute of Reproductive Developmental Biology, Department of Metabolism, Digestion & Reproduction, Faculty of Medicine, Imperial College London, London, UK.
Julie Anne Kathryn McDonaldDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0003-0739-6047
Jeremy K NicholsonAustralian National Phenome Centre, Health Futures Institute, Murdoch University, Murdoch, Western Australia, Australia.
Jia V LiDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.
Mark R JohnsonObstetrics & Gynaecology, Chelsea and Westminster Hospital, Institute of Reproductive Developmental Biology, Department of Metabolism, Digestion & Reproduction, Faculty of Medicine, Imperial College London, London, UK.
Elaine HolmesDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK elaine.holmes@imperial.ac.uk.
Makrina D SavvidouObstetrics & Gynaecology, Chelsea and Westminster Hospital, Institute of Reproductive Developmental Biology, Department of Metabolism, Digestion & Reproduction, Faculty of Medicine, Imperial College London, London, UK.
Chelsea and Westminster Hospital · GBImperial College London · GBMurdoch University · AU

Funding

Medical Research Council MR/P002536/1Medical Research Council MR/P028225/1Medical Research Council P62104
6 · The paper itself

Abstract

objectiveDue to the global increase in obesity rates and success of bariatric surgery in weight reduction, an increasing number of women now present pregnant with a previous bariatric procedure. This study investigates the extent of bariatric-associated metabolic and gut microbial alterations during pregnancy and their impact on fetal development.

designA parallel metabonomic (molecular phenotyping based on proton nuclear magnetic resonance spectroscopy) and gut bacterial (16S ribosomal RNA gene amplicon sequencing) profiling approach was used to determine maternal longitudinal phenotypes associated with malabsorptive/mixed (n=25) or restrictive (n=16) procedures, compared with women with similar early pregnancy body mass index but without bariatric surgery (n=70). Metabolic profiles of offspring at birth were also analysed.

resultsPrevious malabsorptive, but not restrictive, procedures induced significant changes in maternal metabolic pathways involving branched-chain and aromatic amino acids with decreased circulation of leucine, isoleucine and isobutyrate, increased excretion of microbial-associated metabolites of protein putrefaction (phenylacetlyglutamine,

conclusionMetabolism is altered in pregnant women with a previous malabsorptive bariatric surgery. These alterations may be beneficial for maternal outcomes, but the effect of elevated levels of phenolic and indolic compounds on fetal and infant health should be investigated further.

Indexed as

Birth WeightGastric BypassGastroplastyPregnancy3-Hydroxybutyric AcidAdultAmino AcidsBody Mass IndexCreatinineCresolsEnterococcusEscherichiaEubacterialesFecesFemaleFetal Development3-Hydroxybutyric Acid4-cresol sulfate4-hydroxyphenylacetic acidalpha-ketoisovalerateAmino AcidsCreatinineCresolsGlutamineHemiterpenesIndicanIsobutyratesisobutyric acidIsoleucineKeto AcidsLeucinePhenylacetatesphenylacetylglutamineSulfuric Acid Esterscolonic bacteriacolonic fermentationenteric bacterial microfloragastric surgeryobesity surgery

Identifiers

PMID31964751
PMCPMC7398482
OpenAlexW3002336114

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.