Evidence map›Paper›PMID 29856767›Full record

ArticlePloS one2018

The impact of human breast milk components on the infant metabolism.

Christian Hellmuth, Olaf Uhl, Hans Demmelmair, Maria Grunewald, Renata Auricchio, Gemma Castillejo, Ilma R Korponay-Szabo, Isabel Polanco, María Roca, Sabine L Vriezinga and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

25 citing papers in PubMed, 45 citations in OpenAlex.

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  17. Hepatitis E Virus Immunopathogenesis.Pathogens (Basel, Switzerland) · 2021
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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

14 authors at 6 institutions in 4 countries.

Christian HellmuthLudwig-Maximilians-Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany.
Olaf UhlLudwig-Maximilians-Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany.
Hans DemmelmairLudwig-Maximilians-Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany.
Maria GrunewaldLudwig-Maximilians-Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany.
Renata AuricchioDepartment of Medical Translational Sciences and European Laboratory for the Investigation of Food-Induced Diseases, University Federico II, Naples, Italy.
Gemma CastillejoDepartment of Pediatric Gastroenterology Unit, Hospital Universitari Sant Joan de Reus, URV, IIPV, Reus, Spain.
Ilma R Korponay-SzaboCeliac Disease Center, Heim Pál National Pediatric Institute, Budapest, Hungary and Department of Pediatrics, University of Debrecen, Debrecen, Hungary.
Isabel PolancoDepartment of Pediatric Gastroenterology and Nutrition, La Paz University Hospital, Madrid, Spain.
María RocaU. Enfermedad Celiaca e Inmunopatología Digestiva, Instituto de Investigación Sanitaria La Fe, Valencia, Spain.
Sabine L VriezingaDepartment of Pediatrics, Leiden University Medical Center, Leiden, The Netherlands.
Katharina J WerkstetterLudwig-Maximilians-Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany.
Berthold KoletzkoLudwig-Maximilians-Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany.
M Luisa MearinDepartment of Pediatrics, Leiden University Medical Center, Leiden, The Netherlands.
Franca F KirchbergLudwig-Maximilians-Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany.ORCID 0000-0001-6863-1202
Ludwig-Maximilians-Universität München · DELeiden University Medical Center · NLHospital Universitario La Paz · ESHospital Universitari Sant Joan de Reus · ESInstituto de Investigación Sanitaria La Fe · ESUniversity of Debrecen · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsBreastfeeding is beneficial for mothers and infants. Underlying mechanisms and biochemical mediators thus need to be investigated to develop and support improved infant nutrition practices promoting the child health. We analysed the relation between maternal breast milk composition and infant metabolism.

methods196 pairs of mothers and infants from a European research project (PreventCD) were studied. Maternal milk samples collected at month 1 and month 4 after birth were analysed for macronutrient classes, hormone, and fatty acid (FA) content. Phospholipids, acylcarnitines, and amino acids were measured in serum samples of 4-month old infants. Associations between milk components and infant metabolites were analysed with spearman correlation and linear mixed effect models (LME). P-values were corrected for multiple testing (PLME).

resultsMonth 1 milk protein content was strongly associated with infant serum lyso-phosphatidylcholine (LPC) 14:0 (PLME = 0.009). Month 1 milk insulin was associated to infant acetylcarnitine (PLME = 0.01). There were no associations between milk protein content and serum amino acids and milk total fat content and serum polar lipids. Middle- and odd-chain FA% in breast milk at both ages were significantly related to serum LPC and sphingomyelins (SM) species in infant serum (all PLME<0.05), while FA% 20:5n-3 and 22:6n-3 percentages were significantly associated to serum LPC 22:6 (PLME = 1.91×10-4/7.93×10-5) in milk only at month 4. Other polyunsaturated fatty acids and hormones in milk showed only weak associations with infant serum metabolites.

conclusionsInfant serum LPC are influenced by breast milk FA composition and, intriguingly, milk protein content in early but not late lactation. LPC 14:0, previously found positively associated with obesity risk, was the serum metabolite which was the most strongly associated to milk protein content. Thus, LPC 14:0 might be a key metabolite not only reflecting milk protein intake in infants, but also relating high protein content in milk or infant formula to childhood obesity risk.

Indexed as

Breast FeedingAdultChildFatty Acids, Omega-3Fatty Acids, Omega-6FemaleHumansInfantInfant FormulaInfant, NewbornInfant Nutritional Physiological PhenomenaLactationLysophosphatidylcholinesMilk, HumanMilk ProteinsMothersFatty Acids, Omega-3Fatty Acids, Omega-6LysophosphatidylcholinesMilk Proteins

Identifiers

PMID29856767
PMCPMC5983411
OpenAlexW2807079061

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.