Observational studyBMJ open2025
MELK study: an observational study on human milk composition and infant health determinants during the first year of life in a Dutch cohort.
Observational study in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Maternal diet and fatty acids in human milk: results of the MELK study.European journal of nutrition · 2026Article
- Transcriptomic and metabolomic profiles reveal the functions of IGF-1 c.258 A > G synonymous mutation in milk fat content.Journal of advanced research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionHuman milk plays a crucial role in infants' nutrition and immunity, with its composition being influenced by different factors. The role of maternal diet on human milk fatty acid composition, especially eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), is well studied. Higher fish intake is associated with higher DHA levels in human milk, while fewer associations have been reported for EPA. Yet, maternal diet's impact on human milk composition for other nutrients is understudied, and variations in sampling protocols and study quality hinder definitive conclusions on its overall impact. Ethnicity may also impact milk composition, with different dietary habits intertwined with different genetic backgrounds, but also here research lacks standardised protocols. Our study aims to investigate maternal diet, ethnicity, and their association with human milk composition, along with their potential short-term associations with infant health and development, through detailed dietary assessment and by recruiting participants from diverse backgrounds. Understanding these associations could inform the development of tailored nutritional guidelines for mothers and infants, ultimately promoting optimal health and well-being for both. The study design, with its strict sampling procedure, can guide and inspire future studies. METHODS AND ANALYSIS: We will conduct an observational study involving 120 healthy mothers from three ethnic backgrounds (Chinese, Caucasian and Turkish), exclusively breastfeeding their 2-month-old infants. We will collect human milk samples at two time points and assess maternal dietary intake over 4 days. Additionally, we will collect data on various maternal and child characteristics, including maternal stress, socioeconomic status and health, and infant feeding, sleeping, crying, gastrointestinal health and developmental status. ETHICS AND DISSEMINATION: The study has been approved by the Medical Ethical Committee Oost-Nederland (NL79447.091.21), and all participants provided written informed consent before entering the study. Findings will be widely disseminated at international conferences and meetings including the annual Nutrition & Growth conference, ESPGHAN, and through publication in scientific peer-reviewed journals. TRIAL REGISTRATION NUMBER: ISRCTN registry (ISRCTN35735283).
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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 OpenQuestion graph.