Evidence map›Paper›PMID 40839117›Full record

ReviewSeminars in immunopathology2025

Maternal and placental galectins: key players in the feto-maternal symbiotic tango.

Orsolya Oravecz, Yiran Xie, Andrea Balogh, Máté Posta, Charlotte Harms, Emese Farkas, Sophia Borowski, Júlia Szekeres-Barthó, Nándor Gábor Than, Sandra M Blois

Abstract readReview
In one paragraph

Review in Seminars in immunopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Insights into Reproductive Immunology and Placental Pathology, 2nd Edition.International journal of molecular sciences · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. 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.

Orsolya Oravecz *Systems Biology of Reproduction Research Group, Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, H-1117, Budapest, Hungary.
Yiran Xie *Department of Obstetrics and Fetal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, 20251, Germany.
Andrea BaloghSystems Biology of Reproduction Research Group, Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, H-1117, Budapest, Hungary.
Máté PostaSystems Biology of Reproduction Research Group, Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, H-1117, Budapest, Hungary.
Charlotte HarmsDepartment of Obstetrics and Fetal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, 20251, Germany.
Emese FarkasSystems Biology of Reproduction Research Group, Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, H-1117, Budapest, Hungary.
Sophia BorowskiCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH) and Institute of Biochemistry, Berlin, Germany and Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), partner site Berlin, Berlin, 10117, Germany.
Júlia Szekeres-BarthóDepartment of Medical Biology and Central Electron Microscope Laboratory, Medical School, University of Pécs, Pécs, H-7624, Hungary.
Nándor Gábor ThanSystems Biology of Reproduction Research Group, Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, H-1117, Budapest, Hungary. than.gabor@semmelweis.hu.ORCID 0000-0001-9385-7019
Sandra M BloisDepartment of Obstetrics and Fetal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, 20251, Germany. s.blois@uke.de.ORCID 0000-0002-0434-2660

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Galectins, a family of β-galactoside-binding proteins, are critical in regulating feto-maternal interactions during pregnancy. Their evolutionary trajectory is reflected in their expression patterns and diverse functions in embryo implantation, trophoblast invasion, and maternal immune and vascular adaptation, contributing to healthy placentation and uncomplicated pregnancy. Galectin-1 (gal-1), one of the most ancient galectins, plays a pivotal role in feto-maternal immune regulation, acting predominantly from the maternal side to promote immune tolerance, a function integrated early in placental mammalian evolution. In contrast, anthropoid primates introduced a unique set of fetal (placental) galectins (gal-13, gal-14, and gal-16) through birth-and-death evolution, with these genes localized on human chromosome 19. Notably, these primate species have evolved varying degrees of deep placentation, with humans exhibiting the deepest, which facilitates enhanced nutrient delivery to the fetus, particularly for brain development. Placental galectins have been implicated in the evolution of immune tolerance mechanisms that support deep placentation. During pregnancy, reduced expression of maternal galectins (e.g., gal-1) and placental galectins (e.g., gal-13) has been associated with severe obstetric complications, signaling disruptions in feto-maternal tolerance. This review provides a comprehensive overview of gal-1, gal-13, gal-14, and gal-16, highlighting their shared and unique roles in maternal and placental immune regulation and placental development. Additionally, the review explores the potential of maternal versus placental galectins as biomarkers and therapeutic targets to improve diagnostic and treatment strategies for adverse pregnancy outcomes.

Indexed as

GalectinsMaternal-Fetal ExchangePlacentaAnimalsFemaleHumansImmune TolerancePlacentationPregnancyGalectinsDeciduaGlycan-binding proteinObstetrical syndromesPlacentaPregnancy galectinology

Identifiers

PMID40839117
PMCPMC12370818

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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.