Evidence map›Paper›PMID 39617972›Full record

ArticleMolecular nutrition & food research2024

Comprehensive Targeted and Quantitative Profiling of the Human Milk Metabolome: Impact of Delivery Mode, Breastfeeding Practices, and Maternal Diet.

Joaquim Calvo-Lerma, Raúl Cabrera-Rubio, Carles Lerin, Sonia González, Marta Selma-Royo, Cecilia Martínez-Costa, Teodoro Bottiglieri, Maria Carmen Collado

Abstract read
In one paragraph

Article in Molecular nutrition & food research, 2024. 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. Article
  2. Article
  3. Review
  4. Article
  5. Article
  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

8 authors.

Joaquim Calvo-LermaInstitute of Agrochemistry and Food Technology- National Research Council (IATA-CSIC), Paterna, 46980, Valencia, Spain.ORCID 0000-0001-7818-0652
Raúl Cabrera-RubioInstitute of Agrochemistry and Food Technology- National Research Council (IATA-CSIC), Paterna, 46980, Valencia, Spain.ORCID 0000-0003-3652-9558
Carles LerinEndocrinology Department, Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Barcelona, 08950, Spain.ORCID 0000-0003-0950-4363
Sonia GonzálezDepartment of Functional Biology, Faculty of Medicine, University of Oviedo, Oviedo, 33004, Spain.ORCID 0000-0003-2602-7036
Marta Selma-RoyoInstitute of Agrochemistry and Food Technology- National Research Council (IATA-CSIC), Paterna, 46980, Valencia, Spain.ORCID 0000-0002-4258-947X
Cecilia Martínez-CostaDepartment of Pediatrics, School of Medicine, University of Valencia, Valencia, 46010, Spain.ORCID 0000-0003-1347-7521
Teodoro BottiglieriCenter of Metabolomics, Institute of Metabolic, Disease, Baylor Scott and White Research Institute, Dallas, TX, 75204, USA.ORCID 0000-0002-4199-7551
Maria Carmen ColladoInstitute of Agrochemistry and Food Technology- National Research Council (IATA-CSIC), Paterna, 46980, Valencia, Spain.ORCID 0000-0002-6204-4864

Funding

European Research Council 639226Generalitat-Valenciana CDEIGENT 2020-02Horizon Europe Program INITIALISE-101094099MCIN/AE CEX2021-001189-SMCIN/AEI/10.13039/501100011033Ministerio de Ciencia e Innovación FJC2019-041730-I
6 · The paper itself

Abstract

scopeHuman milk (HM) is rich in bioactive compounds and essential nutrients. While research has focused on lipids, minerals, immune markers, microbiota, and oligosaccharides, specific metabolites are less studied. This study uses targeted metabolomics to identify and quantify metabolites in HM and explores the impact of perinatal and dietary factors on the metabolomic profile. METHODS AND

resultsIn a cross-sectional study of 123 healthy lactating women, HM samples were collected up to 1 month postpartum and analyzed using the Biocrates MxP Quant 500 kit. Maternal and neonatal clinical, anthropometric, and nutritional data were collected. A total of 432 metabolites were quantified and categorized into 20 groups. The metabolomic profiles formed three distinct clusters, primarily driven by triglyceride concentration differences. Docosahexaenoic acid (DHA) levels were higher in HM from mothers with vaginal delivery compared to C-section births and differences in hexoses were found between exclusive and mixed-feeding practices. Maternal diets rich in lipids and animal proteins were associated with elevated amino acids, sphingolipids, and glycosyl-ceramides.

conclusionThe HM metabolome was grouped into three clusters influenced by delivery mode, lactation practices, and maternal diet. This comprehensive analysis opens new avenues to explore HM composition and offers valuable insights for future dietary interventions aimed at modulating HM.

Indexed as

Breast FeedingDietMetabolomeMilk, HumanAdultCross-Sectional StudiesDelivery, ObstetricDocosahexaenoic AcidsFemaleHumansLactationMaternal Nutritional Physiological PhenomenaMetabolomicsYoung AdultDocosahexaenoic Acidsamino acidsC‐sectionDocosahexaenoic acid (DHA)human milkmaternal dietmetabolitessphingolipids

Identifiers

PMID39617972
PMCPMC11670290

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.