Evidence map›Paper›PMID 36109618›Full record

ArticlePediatric research2023

Metabolomic and exposomic biomarkers of risk of future neurodevelopmental delay in human milk.

Kefeng Li, Kerri Bertrand, Jane C Naviaux, Jonathan M Monk, Alan Wells, Lin Wang, Sai Sachin Lingampelly, Robert K Naviaux, Christina Chambers

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pediatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Kefeng LiThe Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, USA.
Kerri BertrandDepartment of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, USA.
Jane C NaviauxThe Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, USA.
Jonathan M MonkDepartment of Bioengineering, University of California, San Diego School of Medicine, San Diego, CA, USA.
Alan WellsDepartment of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, USA.
Lin WangThe Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, USA.
Sai Sachin LingampellyThe Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, USA.
Robert K NaviauxThe Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, USA. rnaviaux@health.ucsd.edu.
Christina ChambersDepartment of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, USA. chchambers@health.ucsd.edu.
University of California, San Diego · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
NCATS NIH HHS UL1 TR001442
6 · The paper itself

Abstract

backgroundThe chemical composition of human milk has long-lasting effects on brain development. We examined the prognostic value of the human milk metabolome and exposome in children with the risk of neurodevelopmental delay (NDD).

methodsThis retrospective cohort study included 82 mother-infant pairs (40 male and 42 female infants). A total of 59 milk samples were from mothers with typically developing children and 23 samples were from mothers of children at risk. Milk samples were collected before 9 months of age (4.6 ± 2.5 months, mean ± SD). Neurocognitive development was assessed by maternal report at 14.2 ± 3.1 months using the Ages and Stages Questionnaires-2.

resultsMetabolome and exposome profiling identified 453 metabolites and 61 environmental chemicals in milk. Machine learning tools identified changes in deoxysphingolipids, phospholipids, glycosphingolipids, plasmalogens, and acylcarnitines in the milk of mothers with children at risk for future delay. A predictive classifier had a diagnostic accuracy of 0.81 (95% CI: 0.66-0.96) for females and 0.79 (95% CI: 0.62-0.94) for males.

conclusionsOnce validated in larger studies, the chemical analysis of human milk might be added as an option in well-baby checks to help identify children at risk of NDD before the first symptoms appear. IMPACT: Maternal milk for infants sampled before 9 months of age contained sex-specific differences in deoxysphingolipids, sphingomyelins, plasmalogens, phospholipids, and acylcarnitines that predicted the risk of neurodevelopmental delay at 14.2 months of age. Once validated, this early biosignature in human milk might be incorporated into well-baby checks and help to identify infants at risk so early interventions might be instituted before the first symptoms appear.

Indexed as

Milk, HumanPlasmalogensBiomarkersBreast FeedingChildFemaleHumansInfantMaleMothersRetrospective StudiesBiomarkersPlasmalogens

Identifiers

PMID36109618
PMCPMC10172108
OpenAlexW4295949620

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.