Evidence map›Paper›PMID 41849037›Full record

ArticleFood science of animal resources2026

Effects of feeding type on gut microbiota and atopic dermatitis in cesarean delivered infants: a combined birth cohort study.

Minyoung Jung, Sukyung Kim, Jeongmin Song, Hyun Mi Kim, Yeonghee Kim, Min Hee Lee, Yechan Kyung, Minji Kim, Sanghee Shin, Sehun Jang and 11 more

Abstract read
In one paragraph

Article in Food science of animal resources, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

21 authors.

Minyoung JungDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sukyung KimDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Jeongmin SongDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hyun Mi KimDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Yeonghee KimDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Min Hee LeeDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Yechan KyungDepartment of Pediatrics, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea.
Minji KimDepartment of Pediatrics, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Sejong, Republic of Korea.
Sanghee ShinDepartment of Pediatrics, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
Sehun JangDepartment of Pediatrics, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Woong Bom KimeGnome, Inc, Seoul, Republic of Korea.
Hyeonwoo KimeGnome, Inc, Seoul, Republic of Korea.
Bomin KoheGnome, Inc, Seoul, Republic of Korea.
Bongsang KimeGnome, Inc, Seoul, Republic of Korea.
Junghyun LimDivision of Beverage, Lotte R&D Center, Seoul, Republic of Korea.
Chanwoo KimDivision of Beverage, Lotte R&D Center, Seoul, Republic of Korea.
Jaeho LeeDivision of Beverage, Lotte R&D Center, Seoul, Republic of Korea.
Suk-Joo ChoiDepartment of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Soo-Young OhDepartment of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Jihyun KimDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. jihyun77.kim@samsung.com.
Kangmo AhnDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the effect of early feeding type on gut microbiota composition and atopic dermatitis (AD) development in cesarean-delivered infants, and to evaluate whether probiotic-supplemented formula can mitigate microbial and immunologic disadvantages associated with cesarean delivery. A total of 129 infants delivered by cesarean section were enrolled and classified into three groups: Group A (exclusively breastfed), Group B (fed standard formula), and Group C (fed probiotic-fortified formula). Stool samples were collected at 6–8 weeks of age and analyzed using 16S rRNA gene sequencing. Microbial diversity indices and taxonomic composition were compared, and the incidence of AD by 6 months was assessed. The incidence of AD by 6 months was 8.3% in Group A, 66.7% in Group B, and 25.0% in Group C (p = 0.793). Group A showed the highest gut microbial diversity (Shannon, Chao1, and observed amplicon sequence variants), with significantly lower diversity in Group C (adjusted p < 0.017). No significant differences were observed in the Simpson index. Group C exhibited a significantly higher relative abundance of Bifidobacterium compared with Groups A and B (adjusted p < 0.001), while Lactobacillus was most abundant in Group A, with significant differences across all groups (adjusted p < 0.001). The incidence of AD did not significantly differ between Group A and Group C . While early probiotic supplementation via infant formula may support beneficial bacterial colonization in cesarean-delivered infants, its potential role in AD prevention remains to be clarified through further longitudinal studies.

Indexed as

Atopic dermatitisBifidobacteriumCesarean sectionGut microbiotaProbiotic formulas

Identifiers

PMID41849037
PMCPMC12995016

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LicenceCC BY
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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.