Evidence map›Paper›PMID 41053869›Full record

ArticleInternational breastfeeding journal2025

Unravelling the effect of parity on immunoglobulins, cytokines and adipokines in human transitional milk and their association with infant infections during the first 6 months of life.

Karla Rio-Aige, Cecilia Martínez-Costa, Margarida Castell, María José Rodríguez-Lagunas, María Carmen Collado, Francisco J Pérez-Cano

Registry-linked trialAbstract read
In one paragraph

Article in International breastfeeding journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03552939 (The Power of Maternal Microbes on Infant Health), which is not on this map. Not yet cited in PubMed.

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

NCT03552939 completednot on this map

The Power of Maternal Microbes on Infant Health

TypeobservationalSponsorInstitute of Agrochemistry and Food Technology, National Research CouncilRan2015 to 2020Enrolled250ConditionsHealthy
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

6 authors.

Karla Rio-AigePhysiology Section, Department of Biochemistry and Physiology, Faculty of Pharmacy and Food Science, University of Barcelona (UB), Barcelona, 08028, Spain.
Cecilia Martínez-CostaDepartment of Pediatrics, University of Valencia, INCLIVA Biomedical Research Institute, Avenida Blasco Ibáñez 15-17, Valencia, 46010, Spain.
Margarida CastellPhysiology Section, Department of Biochemistry and Physiology, Faculty of Pharmacy and Food Science, University of Barcelona (UB), Barcelona, 08028, Spain.
María José Rodríguez-LagunasPhysiology Section, Department of Biochemistry and Physiology, Faculty of Pharmacy and Food Science, University of Barcelona (UB), Barcelona, 08028, Spain. mjrodriguez@ub.edu.
María Carmen Collado *Institute of Agrochemistry and Food Technology (IATA-CSIC), National Research Council, Valencia, 46980, Spain.
Francisco J Pérez-Cano *Physiology Section, Department of Biochemistry and Physiology, Faculty of Pharmacy and Food Science, University of Barcelona (UB), Barcelona, 08028, Spain.

Funding

Fundació la Marató de TV3 DIM-2-ELI, ref. 2018-27/30-31Horizon 2020 639226, MAMISpanish Ministry of Economy, Industry, and Competitiveness FPU 19/05150
6 · The paper itself

Abstract

backgroundHuman milk dynamically adapts its composition of immunoglobulins (Igs), cytokines, and other proteins as lactation progresses, influencing the infant's immune development and protection. Understanding how maternal factors, such as parity, influence the composition of human milk can provide strategies aimed at enhancing infant immune protection and reducing early-life infections. This study aims to investigate whether the immune composition of human milk differs based on parity, and if so, how these changes are related to infections in early life.

methodsThe study included 75 healthy mother-infant pairs from the MAMI cohort (Clinical Trial Registry NCT03552939), with milk samples collected from the same mothers at days 7 and 15 postpartum, during transitional lactation stage. Igs, cytokines, and adipokines were quantified using multiplex immunoassays and ELISA. A comparison was conducted between primiparous and multiparous mothers regarding both the overall and individual composition of immune components in human milk at each time point, as well as their evolution throughout the transitional phase.

resultsInfants from multiparous mothers recorded higher infection rates in early life than those of primiparous mothers. Some human milk immune components also differed by parity, with multiparous mothers exhibiting higher levels of IgA, total IgG, IgG1, IgG2, IgG3, IgE, and IL-23 at the beginning of the transitional phase (day 7), as well as higher IL-18 and IL-21 levels toward its end (day 15), compared to primiparous mothers. Additionally, the evolutionary pattern in levels of Igs, cytokines, and adipokines throughout the transitional milk stage also differed. Moreover, in multiparous mothers, higher levels of IgG, particularly IgG1 and IgG2 (day 7), as well as IL-18 and IL-22 (day 15), were associated with reduced infant infections, highlighting their potential protective role.

conclusionsParity is a maternal factor that influences some immune components of human milk during the transitional stage and may be linked to the susceptibility of infants to infections during the first 6 months of life. Future studies aimed at analyzing the impact of the parity factor, among others, on the progression of immune components in human milk may contribute to a better understanding and improved strategies for newborn health.

Indexed as

AdipokinesCytokinesImmunoglobulinsMilk, HumanParityAdultBreast FeedingFemaleHumansInfantInfant, NewbornLactationMalePregnancyAdipokinesCytokinesImmunoglobulinsCytokinesHuman milkImmunoglobulinsInfant infectionsParity

Identifiers

PMID41053869
PMCPMC12502391

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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.