Evidence map›Paper›PMID 39019879›Full record

ArticleNature communications2024

Host-derived protein profiles of human neonatal meconium across gestational ages.

Yoshihiko Shitara, Ryo Konno, Masahito Yoshihara, Kohei Kashima, Atsushi Ito, Takeo Mukai, Goh Kimoto, Satsuki Kakiuchi, Masaki Ishikawa, Tomo Kakihara and 7 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Yoshihiko Shitara *Department of Pediatrics, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7449-3838
Ryo Konno *Department of Applied Genomics, Kazusa DNA Research Institute, Chiba, Japan.
Masahito Yoshihara *Institute for Advanced Academic Research (IAAR), Chiba University, Chiba, Japan.ORCID 0000-0002-8915-9282
Kohei KashimaDepartment of Pediatrics, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-8727-7613
Atsushi ItoDepartment of Pediatrics, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Takeo MukaiDepartment of Pediatrics, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-6648-1271
Goh KimotoDepartment of Pediatrics, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-0597-654X
Satsuki KakiuchiDepartment of Pediatrics, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0009-0003-7646-7643
Masaki IshikawaDepartment of Applied Genomics, Kazusa DNA Research Institute, Chiba, Japan.
Tomo KakiharaDepartment of Pediatric Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Takeshi NagamatsuDepartment of Obstetrics and Gynecology, Faculty of Medicine, International University of Health and Welfare, Chiba, Japan.
Naoto TakahashiDepartment of Pediatrics, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Jun FujishiroDepartment of Pediatric Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Eiryo KawakamiInstitute for Advanced Academic Research (IAAR), Chiba University, Chiba, Japan.ORCID 0000-0001-9955-4342
Osamu OharaDepartment of Applied Genomics, Kazusa DNA Research Institute, Chiba, Japan.ORCID 0000-0002-3328-9571
Yusuke KawashimaDepartment of Applied Genomics, Kazusa DNA Research Institute, Chiba, Japan. ykawashi@kazusa.or.jp.ORCID 0000-0002-9779-8199
Eiichiro WatanabeDepartment of Pediatric Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan. eiichiro.watanabe.riken@gmail.com.ORCID 0000-0003-2050-3740

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 19K24007MEXT | Japan Society for the Promotion of Science (JSPS) 23K15465
6 · The paper itself

Abstract

Meconium, a non-invasive biomaterial reflecting prenatal substance accumulation, could provide valuable insights into neonatal health. However, the comprehensive protein profile of meconium across gestational ages remains unclear. Here, we conducted an extensive proteomic analysis of first meconium from 259 newborns across varied gestational ages to delineate protein composition and elucidate its relevance to neonatal diseases. The first meconium samples were collected, with the majority obtained before feeding, and the mean time for the first meconium passage from the anus was 11.9 ± 9.47 h. Our analysis revealed 5370 host-derived meconium proteins, which varied depending on sex and gestational age. Specifically, meconium from preterm infants exhibited elevated concentrations of proteins associated with the extracellular matrix. Additionally, the protein profiles of meconium also exhibited unique variations depending on both specific diseases, including gastrointestinal diseases, congenital heart diseases, and maternal conditions. Furthermore, we developed a machine learning model to predict gestational ages using meconium proteins. Our model suggests that newborns with gastrointestinal diseases and congenital heart diseases may have immature gastrointestinal systems. These findings highlight the intricate relationship between clinical parameters and meconium protein composition, offering potential for a novel approach to assess neonatal gastrointestinal health.

Indexed as

Gestational AgeMachine LearningMeconiumProteomicsFemaleGastrointestinal DiseasesHeart Defects, CongenitalHumansInfant, NewbornInfant, PrematureMalePregnancyProteomeProteome

Identifiers

PMID39019879
PMCPMC11255260

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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.