Serum sPD-L1 Levels in Early Pregnancy Predict Fetal Growth Restriction and Its Subtypes: A Prospective Nested Case-Control Study.

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Title: Serum sPD-L1 Levels in Early Pregnancy Predict Fetal Growth Restriction and Its Subtypes: A Prospective Nested Case-Control Study.
Authors: Wang Y; Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China., Shi Y; Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China., Zheng R; Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China., Bai X; Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China., Leung MBW; Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China., Lam LK; Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China., Wang CC; Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China., Leung TY; Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.; Hub of Obstetrics and Paediatric Excellence (HOPE), The Chinese University of Hong Kong, Hong Kong SAR, China.; The Chinese University of Hong Kong-Baylor College of Medicine Joint Centre for Medical Genetics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Source: International journal of molecular sciences [Int J Mol Sci] 2026 Jun 02; Vol. 27 (11). Date of Electronic Publication: 2026 Jun 02.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101092791 Publication Model: Electronic Cited Medium: Internet ISSN: 1422-0067 (Electronic) Linking ISSN: 14220067 NLM ISO Abbreviation: Int J Mol Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1422-0067
DOI:10.3390/ijms27115037