Evidence map›Paper›PMID 34106943›Full record

ArticlePloS one2021

Womb to womb: Maternal litter size and birth weight but not adult characteristics predict early neonatal death of offspring in the common marmoset monkey.

Julienne N Rutherford, Corinna N Ross, Toni Ziegler, Larisa A Burke, Alana D Steffen, Aubrey Sills, Donna Layne Colon, Victoria A deMartelly, Laren R Narapareddy, Suzette D Tardif

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

10 authors at 5 institutions in 1 country.

Julienne N RutherfordDepartment of Human Development Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, Illinois, United States of America.ORCID 0000-0001-6536-6888
Corinna N RossSouthwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, United States of America.
Toni ZieglerWisconsin National Primate Research Center, University of Wisconsin, Madison, Wisconsin, United States of America.
Larisa A BurkeOffice for Research Facilitation, College of Nursing, University of Illinois Chicago, Chicago, Illinois, United States of America.
Alana D SteffenDepartment of Population Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, Illinois, United States of America.
Aubrey SillsBarshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America.
Donna Layne ColonSouthwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, United States of America.
Victoria A deMartellyDepartment of Biobehavioral Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, Illinois, United States of America.
Laren R NarapareddyNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, United States of America.
Suzette D TardifSouthwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, United States of America.
University of Illinois Chicago · USTexas Biomedical Research Institute · USEmory University · USThe University of Texas Health Science Center at San Antonio · USUniversity of Wisconsin–Madison · US

Funding

The Southwest National Primate Research Center Supplement- Infrastructure improvements of ABSL2 holding areasP51OD011133 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Larry S. Schlesinger · 2012 to 2026
$129.7M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Viral Testing CoreU42OD010442 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI SHELLEY A COLE · 2012 to 2026
$35.6M
Institutional Career Development CoreKL2TR002381 · NCATS · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Anandi Nayan Sheth · 2017 to 2026
$14.1M
San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Blake B Rasmussen · 2015 to 2026
$14.1M
Neuro HPA Project 1U54AG062334 · NIA · EMORY UNIVERSITY · PI Cecile Delille Lahiri, Vasiliki Michopoulos · 2018 to 2026
$12.2M
Womb to womb: Programming reproductive development in the female marmoset monkeyR01HD076018 · NICHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RUTHERFORD, JULIENNE N · 2013 to 2017
$1.7M
Significant upgrade and expansion of the Southwest National Primate Research Center Pathology UnitS10OD028732 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI KAUSHAL, DEEPAK · 2020 to 2020
$489k
NCATS NIH HHS KL2 TR002381NCATS NIH HHS UL1 TR002378NIA NIH HHS P30 AG044271NIA NIH HHS U54 AG062334NICHD NIH HHS R01 HD076018NIH HHS P51 OD011133NIH HHS S10 OD028732NIH HHS U42 OD010442
6 · The paper itself

Abstract

A singular focus on maternal health at the time of a pregnancy leaves much about perinatal mortality unexplained, especially when there is growing evidence for maternal early life effects. Further, lumping stillbirth and early neonatal death into a single category of perinatal mortality may obscure different causes and thus different avenues of screening and prevention. The common marmoset monkey (Callithrix jacchus), a litter-bearing nonhuman primate, is an ideal species in which to study the independent effects of a mother's early life and adult phenotypes on pregnancy outcomes. We tested two hypotheses in 59 marmoset pregnancies at the Southwest National Primate Research Center and the Barshop Institute for Longevity and Aging Studies. We explored 1) whether pregnancy outcomes were predicted independently by maternal adult weight versus maternal litter size and birth weight, and 2) whether stillbirth and early neonatal death were differentially predicted by maternal variables. No maternal characteristics predicted stillbirth and no maternal adult characteristics predicted early neonatal death. In univariate Poisson models, triplet-born females had a significantly increased rate of early neonatal death (IRR[se] = 3.00[1.29], p = 0.011), while higher birth weight females had a decreased rate (IRR[se] = 0.89[0.05], p = 0.039). In multivariate Poisson models, maternal litter size remained an independent predictor, explaining 13% of the variance in early neonatal death. We found that the later in the first week those neonates died, the more weight they lost. Together these findings suggest that triplet-born and low birth weight females have distinct developmental trajectories underlying greater rates of infant loss, losses that we suggest may be attributable to developmental disruption of infant feeding and carrying. Our findings of early life contributions to adult pregnancy outcomes in the common marmoset disrupt mother-blaming narratives of pregnancy outcomes in humans. These narratives hold that the pregnant person is solely responsible for pregnancy outcomes and the health of their children, independent of socioecological factors, a moralistic framing that has shaped clinical pregnancy management. It is necessary to differentiate temporal trajectories and causes of perinatal loss and view them as embedded in external processes to develop screening, diagnostic, and treatment tools that consider the full arc of a mother's lived experience, from womb to womb and beyond.

Indexed as

Birth WeightCallithrixLitter SizeAnimalsFemaleHumansMalePerinatal DeathPregnancyRisk FactorsStillbirth

Identifiers

PMID34106943
PMCPMC8189522
OpenAlexW3168328503

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.