Page 162 - Ebook-Book JCMS 2025

The Differences between Skin Microbiome of Babies with
Infantile Seborrheic Dermatitis Born by Cesarean Section and
Normal Delivery
Akira Vorapreechapanich1,2, Juthamas Nimnual7,8, Kuakul Kiatphirakul5, Maythavee Lausawatchaikul5
,
Arsa Thammahong2,6, Tanittha Chatsuwan2,6, Steven W Edwards3, Chanat Kumtornrut4, Karaked Chantawarangul5
,
Susheera Chatproedprai5, Siriwan Wananukul5, Sunchai Payungporn7,8, Direkrit Chiewchengchol1,2*
1 Center of Excellence in Immunology and Immune-mediated Diseases, Department of Microbiology,
Faculty of Medicine, Chulalongkorn University
2 Department of Microbiology, Faculty of Medicine, Chulalongkorn University
3 Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool
4 Division of Dermatology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and
King Chulalongkorn Memorial Hospital, The Thai Red Cross Society
5 Division of Pediatric Dermatology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University
6 Center of Excellence in Antimicrobial Resistance and Stewardship, Faculty of Medicine, Chulalongkorn
University
7 Department of Biochemistry, Faculty of Medicine, Chulalongkorn University
8 Center of Excellence in Systems Microbiology (CESM), Department of Biochemistry, Faculty of Medicine,
Chulalongkorn University
*Corresponding Author E-mail: direkrit.c@chula.ac.th
Background: Methods: Abstract
Infantile seborrheic dermatitis (ISD) is a common inflammatory skin condition in early
infancy. Emerging evidence suggests that dysbiosis of the skin microbiota plays a key role
in its pathogenesis. This study aimed to compare and identify differences in skin microbiota
(e.g. bacteria and fungi) associated with ISD between cesarean section (C/S) and normal
labor (NL) infants.
Sixteen infants diagnosed with ISD (10 C/S born (4 males, 6 females) and 6 NL born (5
males, 1 female)). Lesions were sampled from each patient using tape stripping method.
The skin microbiota was assessed by nanopore sequencing, and the results were analyzed
using bioinformatics tools.
160 Joint Conference in Medical Sciences 2025