دورية أكاديمية
أعرض في EDS

Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries.

التفاصيل البيبلوغرافية
العنوان: Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries.
المؤلفون: Espinosa CA; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Khan W; Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan., Khanam R; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA., Das S; Centre for Public Health Kinetics, New Delhi, Delhi, India., Khalid J; Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan., Pervin J; Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh., Kasaro MP; University of North Carolina Global Projects Zambia, Lusaka, Zambia.; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, NC, USA., Contrepois K; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA., Chang AL; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Phongpreecha T; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA., Michael B; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA., Ellenberger M; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA., Mehmood U; Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan., Hotwani A; Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan., Nizar A; Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan., Kabir F; Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan., Wong RJ; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA., Becker M; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Berson E; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA., Culos A; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.; Department of Computer Science, Columbia University, New York, NY, USA., De Francesco D; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Mataraso S; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Ravindra N; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Thuraiappah M; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Xenochristou M; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Stelzer IA; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA., Marić I; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA., Dutta A; Centre for Public Health Kinetics, New Delhi, Delhi, India., Raqib R; International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh., Ahmed S; Projahnmo Research Foundation, Dhaka, Bangladesh., Rahman S; Projahnmo Research Foundation, Dhaka, Bangladesh., Hasan ASMT; Projahnmo Research Foundation, Dhaka, Bangladesh., Ali SM; Public Health Laboratory-Ivo de Carneri, Pemba, Zanzibar, Tanzania., Juma MH; Public Health Laboratory-Ivo de Carneri, Pemba, Zanzibar, Tanzania., Rahman M; Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh., Aktar S; Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh., Deb S; Centre for Public Health Kinetics, New Delhi, Delhi, India.; Public Health Laboratory-Ivo de Carneri, Pemba, Zanzibar, Tanzania., Price JT; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.; Department of Obstetrics and Gynaecology, University of Zambia School of Medicine, Lusaka, Zambia., Wise PH; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA., Winn VD; Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA., Druzin ML; Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA., Gibbs RS; Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA., Darmstadt GL; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA., Murray JC; Department of Pediatrics, University of Iowa, Iowa City, IA, USA., Stringer JSA; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, NC, USA., Gaudilliere B; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA., Snyder MP; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA., Angst MS; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA., Rahman A; Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh., Baqui AH; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA., Jehan F; Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan., Nisar MI; Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan., Vwalika B; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.; Department of Obstetrics and Gynaecology, University of Zambia School of Medicine, Lusaka, Zambia., Sazawal S; Centre for Public Health Kinetics, New Delhi, Delhi, India.; Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA., Shaw GM; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA., Stevenson DK; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA., Aghaeepour N; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.
المصدر: Science advances [Sci Adv] 2023 May 24; Vol. 9 (21), pp. eade7692. Date of Electronic Publication: 2023 May 26.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Washington, DC : American Association for the Advancement of Science, [2015]-
مواضيع طبية MeSH: Premature Birth*/epidemiology, Infant, Newborn ; Pregnancy ; Child ; Humans ; Female ; Developing Countries ; Multiomics ; Proteomics ; Chemokines, CC
مستخلص: Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive studies are hindered by its multiple complex etiologies. Epidemiological associations between PTB and maternal characteristics have been previously described. This work used multiomic profiling and multivariate modeling to investigate the biological signatures of these characteristics. Maternal covariates were collected during pregnancy from 13,841 pregnant women across five sites. Plasma samples from 231 participants were analyzed to generate proteomic, metabolomic, and lipidomic datasets. Machine learning models showed robust performance for the prediction of PTB (AUROC = 0.70), time-to-delivery ( r = 0.65), maternal age ( r = 0.59), gravidity ( r = 0.56), and BMI ( r = 0.81). Time-to-delivery biological correlates included fetal-associated proteins (e.g., ALPP, AFP, and PGF) and immune proteins (e.g., PD-L1, CCL28, and LIFR). Maternal age negatively correlated with collagen COL9A1, gravidity with endothelial NOS and inflammatory chemokine CXCL13, and BMI with leptin and structural protein FABP4. These results provide an integrated view of epidemiological factors associated with PTB and identify biological signatures of clinical covariates affecting this disease.
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معلومات مُعتمدة: K99 HD105016 United States HD NICHD NIH HHS; R35 GM138353 United States GM NIGMS NIH HHS
المشرفين على المادة: 0 (Chemokines, CC)
تواريخ الأحداث: Date Created: 20230524 Date Completed: 20230526 Latest Revision: 20240712
رمز التحديث: 20240712
مُعرف محوري في PubMed: PMC10208584
DOI: 10.1126/sciadv.ade7692
PMID: 37224249
قاعدة البيانات: MEDLINE
الوصف
تدمد:2375-2548
DOI:10.1126/sciadv.ade7692