Evidence map›Paper›PMID 34139432›Full record

ArticleEBioMedicine2021

Maternal fecal microbiome predicts gestational age, birth weight and neonatal growth in rural Zimbabwe.

Ethan K Gough, Thaddeus J Edens, Hyun Min Geum, Iman Baharmand, Sandeep K Gill, Ruairi C Robertson, Kuda Mutasa, Robert Ntozini, Laura E Smith, Bernard Chasekwa and 12 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
7.5field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 5 institutions in 4 countries.

Ethan K GoughDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: amee.manges@ubc.ca.
Thaddeus J EdensDevil's Staircase Consulting, West Vancouver, British Columbia, Canada.
Hyun Min GeumSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.
Iman BaharmandSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.
Sandeep K GillSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.
Ruairi C RobertsonBlizard Institute, Queen Mary University of London, London, UK.
Kuda MutasaZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Robert NtoziniZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Laura E SmithZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe; Department of Population Medicine and Diagnostics, Cornell University, Ithaca, NY, USA.
Bernard ChasekwaZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Florence D MajoZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Naume V TavengwaZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Batsirai MutasaZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Freddy FrancisDepartment of Experimental Medicine, University of British Columbia, Canada.
Lynnea CarrDepartment of Microbiology and Immunology, University of British Columbia, Canada.
Joice TomeZvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Rebecca J StoltzfusGoshen College, Goshen, Indiana, USA.
Lawrence H MoultonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Andrew J PrendergastDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Blizard Institute, Queen Mary University of London, London, UK; Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
Jean H HumphreyDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Blizard Institute, Queen Mary University of London, London, UK.
Amee R MangesSchool of Population and Public Health, University of British Columbia, Vancouver, Canada; British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Shine Trial TeamMembers of the SHINE Trial team who are not named authors are listed in https://academic.oup.com/cid/article/61/suppl_7/S685/358186.
Zvitambo Institute for Maternal and Child Health Research · ZWUniversity of British Columbia · CAJohns Hopkins University · USQueen Mary University of London · GBGoshen College · US

Funding

Effect of a sanitation & nutrition intervention on HIV-exposed infant healthR01HD060338 · NICHD · JOHNS HOPKINS UNIVERSITY · PI HUMPHREY, JEAN HAWES · 2008 to 2012
$2.0M
NICHD NIH HHS R01 HD060338Wellcome Trust 206455/Z/17/Z
6 · The paper itself

Abstract

backgroundPreterm birth and low birth weight (LBW) affect one in ten and one in seven livebirths, respectively, primarily in low-income and middle-income countries (LMIC) and are major predictors of poor child health outcomes. However, both have been recalcitrant to public health intervention. The maternal intestinal microbiome may undergo substantial changes during pregnancy and may influence fetal and neonatal health in LMIC populations.

methodsWithin a subgroup of 207 mothers and infants enrolled in the SHINE trial in rural Zimbabwe, we performed shotgun metagenomics on 351 fecal specimens provided during pregnancy and at 1-month post-partum to investigate the relationship between the pregnancy gut microbiome and infant gestational age, birth weight, 1-month length-, and weight-for-age z-scores using extreme gradient boosting machines.

findingsPregnancy gut microbiome taxa and metabolic functions predicted birth weight and WAZ at 1 month more accurately than gestational age and LAZ. Blastoscystis sp, Brachyspira sp and Treponeme carriage were high compared to Western populations. Resistant starch-degraders were important predictors of birth outcomes. Microbiome capacity for environmental sensing, vitamin B metabolism, and signalling predicted increased infant birth weight and neonatal growth; while functions involved in biofilm formation in response to nutrient starvation predicted reduced birth weight and growth.

interpretationThe pregnancy gut microbiome in rural Zimbabwe is characterized by resistant starch-degraders and may be an important metabolic target to improve birth weight.

fundingBill and Melinda Gates Foundation, UK Department for International Development, Wellcome Trust, Swiss Agency for Development and Cooperation, US National Institutes of Health, and UNICEF.

Indexed as

Birth WeightBody HeightBacteriaChild DevelopmentFecesFemaleGestational AgeHigh-Throughput Nucleotide SequencingHumansInfant, NewbornMaleMetagenomicsMothersPregnancyRandomized Controlled Trials as TopicRNA, Ribosomal, 16SRNA, Ribosomal, 16Sbirth weightgestationmaternalmetagenomemicrobiomepregnancy

Identifiers

PMID34139432
PMCPMC8217692
OpenAlexW3170968332

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.