Evidence map›Paper›PMID 42195265›Full record

ArticleLife (Basel, Switzerland)2026

Identification of Maternal Serum Longitudinal Signatures Through Profiling of 96 Cytokines.

Viktoriia Kolesnyk, Colleen Sinnott, Tobias Max Philipp Hartwich, Foram Gandhi, Jennifer Culhane, Lisbet Lundsberg, Sonya Abdel-Razeq, Miranda Mansolf, Samantha Novo, Olga Grechukhina and 1 more

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Viktoriia KolesnykDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, CT 06510, USA.ORCID 0009-0001-3164-1690
Colleen SinnottDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, CT 06510, USA.ORCID 0000-0002-3854-8667
Tobias Max Philipp HartwichDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, CT 06510, USA.
Foram GandhiDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, CT 06510, USA.ORCID 0009-0007-1381-2939
Jennifer CulhaneDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, CT 06510, USA.
Lisbet LundsbergDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, CT 06510, USA.
Sonya Abdel-RazeqDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, CT 06510, USA.
Miranda MansolfDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, CT 06510, USA.
Samantha NovoDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, CT 06510, USA.
Olga GrechukhinaDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, CT 06510, USA.ORCID 0000-0001-9237-1316
Yang Yang-HartwichDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, CT 06510, USA.ORCID 0000-0002-0522-9053

Funding

The Yale WRHR Career Development CenterK12HD047018 · NICHD · YALE UNIVERSITY · PI Hugh Smith Taylor · 2004 to 2026
$7.8M
National Institute Of Child Health & Human Development, NIH, USA K12HD047018NICHD NIH HHS K12 HD047018
6 · The paper itself

Abstract

Changes in the maternal serum cytokine landscape occur throughout pregnancy, representing immune adaptations and modifications to support a healthy pregnancy. A better understanding of normal cytokine patterns can help improve the management of pregnancy and potentially predict complications. Using maternal serum samples collected at four different timepoints from 29 subjects, we characterized the longitudinal serum cytokine patterns throughout normal pregnancy with a multiplex ELISA of 96 cytokines. Based on unsupervised principal component analyses of the 96-cytokine data, we developed an integrated panel that incorporated the data of 21 key cytokines. This integrated immune signature allowed us to distinguish serum samples collected at different stages of healthy pregnancy and evaluate their chemotactic properties in vitro. We also evaluated the potential of using integrated cytokine scores for identifying pathological condition like preeclampsia before clinical signs are presented. This study explored new approaches of developing serum biomarker panels for immune profiling and early detection of pathological conditions during pregnancy.

Indexed as

cytokinesmaternal serummultiplex cytokine panelpreeclampsiapregnancy

Identifiers

PMID42195265
PMCPMC13208128

What OpenQuestion holds

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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.