Evidence map›Paper›PMID 35462239›Full record

SynthesisPlacenta2022

Integrated analysis of transcriptomic datasets to identify placental biomarkers of spontaneous preterm birth.

Nasim C Sobhani, Rachel Mernoff, Mosana Abraha, Chinomnso N Okorie, Leticia Marquez-Magana, Stephanie L Gaw, Joshua F Robinson

Open access · hybridAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Placenta, 2022. 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
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  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

7 authors at 3 institutions in 2 countries.

Nasim C SobhaniCenter for Reproductive Sciences and Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, 499 Illinois Street, San Francisco, CA, 94158, USA; Division of Maternal Fetal Medicine, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, 1825 Fourth Street, San Francisco, CA, 94158, USA.
Rachel MernoffUC Berkeley-UCSF Joint Medical Program, University of California, Berkeley School of Public Health and University of California San Francisco School of Medicine, 533 Parnassus Avenue, San Francisco, CA, 94143, USA.
Mosana AbrahaIntegrated Biomedical Engineering and Health Sciences, McMaster University, 1280 Main Street W, Hamilton, ON L8S 4L8, Canada.
Chinomnso N OkorieCenter for Reproductive Sciences and Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, 499 Illinois Street, San Francisco, CA, 94158, USA; Department of Biology, San Francisco State University, 1600 Holloway Ave, San Francisco, CA, 94132, USA.
Leticia Marquez-MaganaDepartment of Biology, San Francisco State University, 1600 Holloway Ave, San Francisco, CA, 94132, USA.
Stephanie L GawCenter for Reproductive Sciences and Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, 499 Illinois Street, San Francisco, CA, 94158, USA; Division of Maternal Fetal Medicine, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, 1825 Fourth Street, San Francisco, CA, 94158, USA.
Joshua F RobinsonCenter for Reproductive Sciences and Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, 499 Illinois Street, San Francisco, CA, 94158, USA. Electronic address: Joshua.Robinson@ucsf.edu.
University of California, San Francisco · USMcMaster University · CASan Francisco State University · US

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
SF BUILD: Enabling Students to Represent in ScienceRL5GM118984 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI MARQUEZ-MAGANA, LETICIA MARIA, MORRIS, MEGHAN D · 2015 to 2023
$5.2M
Placental malaria: The role of inflammation at the maternal-fetal interfaceK08AI141728 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GAW, STEPHANIE LINA · 2019 to 2023
$950k
NCATS NIH HHS UL1 TR001872NIAID NIH HHS K08 AI141728NIGMS NIH HHS RL5 GM118984
6 · The paper itself

Abstract

introductionPreterm birth (PTB) remains the leading cause of neonatal morbidity and mortality in the United States. The mechanisms underlying spontaneous PTB (SPTB) involve multiple physiological processes and molecular transformations at the level of the placenta. This study aimed to identify consistent molecular correlates in the placenta linked with SPTB by cross-examining publicly available transcriptomic datasets within two publicly available repositories.

methodsThe National Center for Biotechnology Information and the European Bioinformatics Institute were queried, and relevant datasets were independently normalized, and then merged based on similarity in design. Differentially expressed genes between SPTB and term delivery (TD) were identified using a fixed effects linear model (p < 0.0001) and were evaluated for enrichment of biological processes and pathways. In general, global signatures associated with SPTB were unique to each study.

resultsA total of three datasets were used in the meta-analysis to assess the placental transcriptome in SPTB (11 samples) as compared to TD (15 samples). We identified 174 differentially expressed genes consistently correlated with SPTB across all studies, including previously proposed and new candidate biomarkers of SPTB. Differentially expressed genes were significantly enriched for master regulatory pathways relevant to placental development and disease, including chromatin organization and cellular response to stress. DISCUSSION: Identification of differentially expressed genes and associated pathways across multiple studies may identify transcriptomic biomarkers that can be applied in clinical investigations of SPTB and provide researchers enhanced insight into the underlying etiologies of SPTB.

Indexed as

Premature BirthBiomarkersFemaleHumansInfant, NewbornPlacentaPregnancyTranscriptomeBiomarkersEpigeneticsPlacentaPregnancyPreterm birthStressTranscriptome

Identifiers

PMID35462239
PMCPMC9715015
OpenAlexW4224865308

What Socratic 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 Socratic graph.