Evidence map›Paper›PMID 36216868›Full record

ReviewPediatric research2023

Omics approaches: interactions at the maternal-fetal interface and origins of child health and disease.

Maide Ozen, Nima Aghaeepour, Ivana Marić, Ronald J Wong, David K Stevenson, Lauren L Jantzie

Abstract readReview
In one paragraph

Review in Pediatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Obstetric pharmacogenomics.Journal of basic and clinical physiology and pharmacology · 2026
    Review
  3. Innate Immunity and Microbial Recognition in Reproduction: From Barrier Defense to Maternal-Fetal Tolerance.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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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

6 authors.

Maide OzenDivision of Neonatal-Perinatal Medicine, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA. mozen1@jhmi.edu.ORCID 0000-0002-2020-7821
Nima AghaeepourDepartment of Anesthesiology, Pain, and Perioperative Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Ivana MarićDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Ronald J WongDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
David K StevensonDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Lauren L JantzieDivision of Neonatal-Perinatal Medicine, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, 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
Placental Mediated Mechanisms of Perinatal Brain InjuryR01HL139492 · NHLBI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI JANTZIE, LAUREN LEIGH COONEY · 2018 to 2021
$1.6M
The role of chorioamnionitis-induced perinatal alterations of Heme-oxygenase-1 (HO-1) pathway on neuroinflammation and neonatal white matter injuryK08HD107166 · NICHD · JOHNS HOPKINS UNIVERSITY · PI Maide Ozen · 2022 to 2026
$859k
Gates Foundation INV-001734Gates Foundation INV-003225Gates Foundation INV-037517NHLBI NIH HHS R01 HL139492NICHD NIH HHS K08 HD107166NIGMS NIH HHS R35 GM138353
6 · The paper itself

Abstract

Immunoperinatology is an emerging field. Transdisciplinary efforts by physicians, physician-scientists, basic science researchers, and computational biologists have made substantial advancements by identifying unique immunologic signatures of specific diseases, discovering innovative preventative or treatment strategies, and establishing foundations for individualized neonatal intensive care of the most vulnerable neonates. In this review, we summarize the immunobiology and immunopathology of pregnancy, highlight omics approaches to study the maternal-fetal interface, and their contributions to pregnancy health. We examined the importance of transdisciplinary, multiomic (such as genomics, transcriptomics, proteomics, metabolomics, and immunomics) and machine-learning strategies in unraveling the mechanisms of adverse pregnancy, neonatal, and childhood outcomes and how they can guide the development of novel therapies to improve maternal and neonatal health. IMPACT: Discuss immunoperinatology research from the lens of omics and machine-learning approaches. Identify opportunities for omics-based approaches to delineate infection/inflammation-associated maternal, neonatal, and later life adverse outcomes (e.g., histologic chorioamnionitis [HCA]).

Indexed as

Child HealthGenomicsChildFemaleHumansInfant, NewbornMetabolomicsPregnancyProteomics

Identifiers

PMID36216868
PMCPMC9549444

What Socratic holds

Textmetadata
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.