Evidence map›Paper›PMID 38337695›Full record

ArticleNutrients2024

Biochemical Profiling of Urine Metabolome in Premature Infants Based on LC-MS Considering Maternal Influence.

Jeong-Hun Mok, Junhwan Song, Won-Ho Hahn, Seonghyeon Cho, Jong-Moon Park, Jiwon Koh, Ho Kim, Nam Mi Kang

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Jeong-Hun MokDepartment of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul 06355, Republic of Korea.ORCID 0000-0002-8832-6587
Junhwan SongDepartment of Pediatrics, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea.ORCID 0000-0002-9330-9140
Won-Ho HahnDepartment of Pediatrics, Soonchunhyang University Seoul Hospital, Seoul 04401, Republic of Korea.
Seonghyeon ChoBasil Biotech, Incheon 22002, Republic of Korea.
Jong-Moon ParkBasil Biotech, Incheon 22002, Republic of Korea.ORCID 0000-0002-4407-1383
Jiwon KohDepartment of Pediatrics, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea.
Ho KimDepartment of Pediatrics, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Republic of Korea.
Nam Mi KangDepartment of Nursing, Research Institute for Biomedical & Health Science, Konkuk University, Chungju-si 27478, Republic of Korea.

Funding

Ministry of Science and ICT No.RS-2023-00265366National Research Foundation of Korea No.2020R1A2C1005082
6 · The paper itself

Abstract

In this study, Liquid Chromatography-Mass Spectrometry (LC-MS)-based metabolomics profiling was conducted to elucidate the urinary profiles of premature infants during early and late postnatal stages. As a result, we discovered significant excretion of maternal drugs in early-stage infants and identified crucial metabolites like hormones and amino acids. These findings shed light on the maternal impact on neonatal metabolism and underscore the beneficial effects of breastfeeding on the metabolism of essential amino acids in infants. This research not only enhances our understanding of maternal-infant nutritional interactions and their long-term implications for preterm infants but also offers critical insights into the biochemical characteristics and physiological mechanisms of preterm infants, laying a groundwork for future clinical studies focused on neonatal development and health.

Indexed as

Infant, PrematureLiquid Chromatography-Mass SpectrometryChromatography, LiquidFemaleHumansInfantInfant, NewbornMetabolomeMetabolomicsTandem Mass Spectrometryamino acidhuman milkLC−MSmaternal nutritionmetabolomicsneurotransmitterpremature infant

Identifiers

PMID38337695
PMCPMC10857068

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Registered trials

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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.