Predicting risk of low birth weight offspring from maternal features and blood polycyclic aromatic hydrocarbon concentration
Affiliation:
1. Environmental Toxicology Lab, ICMR-National Institute of Pathology, Safdarjung Hospital Campus, New Delhi, 110029, India;2. ICMR AIIMS Computational Genomics Centre, New Delhi, 110029, India;3. Shimadzu Analytical India Pvt Ltd, Delhi, 110060, India;4. Department of Biotechnology, Invertis University, Bareilly, UP, 243112, India;5. Department of Medical Elementology and Toxicology, Jamia Hamdard, New Delhi, 110062, India;6. Department of Obstetrics and Gynecology, Assam Medical College, Dibrugarh, Assam, 786001, India;7. DBT APEX BTIC, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India;1. Institute of Reproductive and Child Health and Ministry of Health Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China;2. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China;3. Institute of Biosciences and Technology, Texas A&M University Health Science Center, Houston, TX 77030, USA;4. Dell Pediatric Research Institute, Department of Nutritional Sciences, University of Texas at Austin, Austin, TX 78723, USA;1. Toxicology Unit, Research Institute of Biomedical and Health Sciences (IUIBS), Universidad de Las Palmas de Gran Canaria, Paseo Blas Cabrera s/n, 35016 Las Palmas de Gran Canaria, Spain;2. Spanish Biomedical Research Center in Physiopathology of Obesity and Nutrition (CIBERObn), Spain;1. Department of Physiology and Toxicology of Reproduction, Institute of Zoology, Jagiellonian University in Krakow, Krakow, Poland;2. Department of Chemistry, Krakow University of Technology, Krakow, Poland;3. Department of Gynecological Endocrinology, Jagiellonian University, Medical College, Krakow, Poland;1. Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 510632, China;2. Laboratory of Environmental Medicine and Developmental Toxicology, Shantou University Medical College, Shantou, 515041, China;3. Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China;4. Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, China;1. Department of Environmental Health Engineering, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran;2. Systems Environmental Health and Energy Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran;3. The Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran;4. Department of Internal Medicine, School of Medicine Shiraz University of Medical Sciences, Bushehr, Iran;5. OB and GYN Ward, Bushehr University of Medical Sciences, Bushehr, Iran;6. Department of Biostatistics and Epidemiology, School of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran;7. Faculty of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran;8. The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran;9. Department of Hematology, Faculty of Allied Medicine, Bushehr University of Medical Sciences, Bushehr, Iran;1. Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China;2. Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China;3. Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
Abstract:
Prenatal exposure to organic pollutants increases the risk of low birth weight (LBW) offspring. Women involved in the plucking of tea leaves can be exposed to polycyclic aromatic hydrocarbons (PAHs) during pregnancy through inhalation and diet. Therefore, the aim of the study was to investigate the association of maternal socio-demographic features and blood PAH concentration with LBW; also to develop a model for predicting LBW risk. The study was performed by recruiting 55 women who delivered LBW and 120 women with NBW (normal birth weight) babies from Assam Medical College. The placental tissue, maternal and cord blood samples were collected. A total of sixteen PAHs and cotinine were analysed by HPLC and GC-MS. Association of PAH concentration with weight was determined using correlation and multiple logistic regression analyses. Predictive model was developed using SVMlight and Weka software. Maternal features such as age, education, food habits, occupation, etc. were found to be associated with LBW deliveries (p-value<0.05). Overall, 9 PAHs and cotinine were detected in the samples. A multiple logistic regression depicted an increased likelihood of LBW by exposure to PAHs (pyrene, di-benzo (a,h) anthracene, fluorene and fluoranthene) and cotinine. Models based on the features and PAHs/ cotinine predicted LBW offspring with 84.35% sensitivity and 74% specificity. LBW prediction models are available at http://dev.icmr.org.in/plbw/ webserver. With machine learning gaining more importance in medical science; our webserver could be instrumental for researchers and clinicians to predict the state of the fetus.
