Evidence map›Paper›PMID 39033276›Full record

ArticleBMC pregnancy and childbirth2024

Association of pregnancy complications and postpartum maternal leukocyte telomeres in two diverse cohorts: a nested case-control study.

Danielle M Panelli, Xiaobin Wang, Jonathan Mayo, Ronald J Wong, Xiumei Hong, Martin Becker, Nima Aghaeepour, Maurice L Druzin, Barry S Zuckerman, David K Stevenson and 2 more

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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

12 authors.

Danielle M PanelliDivision of Maternal-Fetal Medicine and Obstetrics, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Center for Academic Medicine, Obstetrics and Gynecology, MC 5317, 453 Quarry Road, Stanford, CA, 94304, USA. dpanelli@stanford.edu.
Xiaobin WangCenter on the Early Life Origins of Disease, Departments of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jonathan MayoDivision of Maternal-Fetal Medicine and Obstetrics, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Center for Academic Medicine, Obstetrics and Gynecology, MC 5317, 453 Quarry Road, Stanford, CA, 94304, USA.
Ronald J WongDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Xiumei HongCenter on the Early Life Origins of Disease, Departments of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Martin BeckerDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Nima AghaeepourDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Maurice L DruzinDivision of Maternal-Fetal Medicine and Obstetrics, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Center for Academic Medicine, Obstetrics and Gynecology, MC 5317, 453 Quarry Road, Stanford, CA, 94304, USA.
Barry S ZuckermanDepartment of Pediatrics, Boston Medical Center, Boston, MA, USA.
David K StevensonDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Gary M Shaw DrPHDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Katherine BiancoDivision of Maternal-Fetal Medicine and Obstetrics, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Center for Academic Medicine, Obstetrics and Gynecology, MC 5317, 453 Quarry Road, Stanford, CA, 94304, USA.

Funding

Machine Learning for Integrative Modeling of the Immune System in Clinical SettingsR35GM138353 · NIGMS · STANFORD UNIVERSITY · PI AGHAEEPOUR, NIMA · 2020 to 2024
$2.2M
Stanford Women's Reproductive Health Research Career Development ProgramK12HD103084 · NICHD · STANFORD UNIVERSITY · PI LESLEE L SUBAK · 2020 to 2026
$2.2M
NICHD NIH HHS K12 HD103084NIGMS NIH HHS R35 GM138353NIH HHS NIH K12HD103084NIH HHS R35GM138353
6 · The paper itself

Abstract

backgroundBiologic strain such as oxidative stress has been associated with short leukocyte telomere length (LTL), as well as with preeclampsia and spontaneous preterm birth, yet little is known about their relationships with each other. We investigated associations of postpartum maternal LTL with preeclampsia and spontaneous preterm birth.

methodsThis pilot nested case control study included independent cohorts of pregnant people with singleton gestations from two academic institutions: Cohort 1 (hereafter referred to as Suburban) were enrolled prior to 20 weeks' gestation between 2012 and 2018; and Cohort 2 (hereafter referred to as Urban) were enrolled at delivery between 2000 and 2012. Spontaneous preterm birth or preeclampsia were the selected pregnancy complications and served as cases. Cases were compared with controls from each study cohort of uncomplicated term births. Blood was collected between postpartum day 1 and up to 6 months postpartum and samples were frozen, then simultaneously thawed for analysis. Postpartum LTL was the primary outcome, measured using quantitative polymerase chain reaction (PCR) and compared using linear multivariable regression models adjusting for maternal age. Secondary analyses were done stratified by mode of delivery and self-reported level of stress during pregnancy.

results156 people were included; 66 from the Suburban Cohort and 90 from the Urban Cohort. The Suburban Cohort was predominantly White, Hispanic, higher income and the Urban Cohort was predominantly Black, Haitian, and lower income. We found a trend towards shorter LTLs among people with preeclampsia in the Urban Cohort (6517 versus 6913 bp, p = 0.07), but not in the Suburban Cohort. There were no significant differences in LTLs among people with spontaneous preterm birth compared to term controls in the Suburban Cohort (6044 versus 6144 bp, p = 0.64) or in the Urban Cohort (6717 versus 6913, p = 0.37). No differences were noted by mode of delivery. When stratifying by stress levels in the Urban Cohort, preeclampsia was associated with shorter postpartum LTLs in people with moderate stress levels (p = 0.02).

conclusionOur exploratory results compare postpartum maternal LTLs between cases with preeclampsia or spontaneous preterm birth and controls in two distinct cohorts. These pilot data contribute to emerging literature on LTLs in pregnancy.

Indexed as

LeukocytesPostpartum PeriodPre-EclampsiaPremature BirthAdultCase-Control StudiesCohort StudiesFemaleHumansPilot ProjectsPregnancyPregnancy ComplicationsTelomereTelomere ShorteningUrban PopulationYoung AdultCellular agingDisparityHypertensive disordersPreeclampsiaPregnancyPreterm birthStressTelomeres

Identifiers

PMID39033276
PMCPMC11264806

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Registered trials

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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.