{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T11:43:27Z","timestamp":1787917407261,"version":"build-2784847793"},"reference-count":101,"publisher":"Walter de Gruyter GmbH","issue":"2","license":[{"start":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T00:00:00Z","timestamp":1763337600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,2,24]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"j_jpm-2025-0231_abs_001\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Preterm birth (PTB), defined as delivery before 37 weeks of gestation, is a leading cause of neonatal mortality and long-term developmental impairment. Its complex etiology, spanning environmental, genetic, psychosocial, and socio-economic domains, limits effective prediction and prevention. We systematically synthesized evidence on how environmental exposures influence PTB risk through multi-omic disruptions within a fetal exposome framework.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2025-0231_abs_002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A comprehensive literature search was conducted in major biomedical databases, following PRISMA guidelines. Ninety-five human studies published through May 2025 were included, encompassing exposures such as ambient air pollution, endocrine-disrupting chemicals, maternal stress, nutrition, occupational hazards, climate variability, and microbiome alterations. Two reviewers independently extracted data (exposure type, omics platform, biospecimen, PTB subtype) with inter-rater reliability assessment, and study quality was evaluated using the Newcastle\u2013Ottawa Scale. Findings were narratively stratified by exposure category, study design, and spontaneous vs. indicated PTB.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2025-0231_abs_003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Environmental exposures were consistently associated with disruptions in oxidative stress, inflammation, immune regulation, hormonal signaling, placental aging, and microbial ecology, mediated by multi-omic signatures in maternal, placental, and fetal tissues. Candidate biomarkers show promise for early risk stratification but lack validation and population-level predictive performance due to heterogeneous exposure assessment and study design.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2025-0231_abs_004\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Integrating fetal exposome concepts with multi-omics enhances mechanistic insight into PTB risk and may support biomarker discovery and precision-guided prenatal interventions. Clinical translation requires standardized exposure measurement, biomarker validation, and equity-focused implementation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/jpm-2025-0231","type":"journal-article","created":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T03:57:43Z","timestamp":1763351863000},"page":"391-407","source":"Crossref","is-referenced-by-count":1,"title":["The fetal exposome and preterm birth: a systematic synthesis of environmental exposures and multi-omics evidence"],"prefix":"10.1515","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9062-8501","authenticated-orcid":false,"given":"Wiku","family":"Andonotopo","sequence":"first","affiliation":[{"name":"Fetomaternal Division, Women Health Center, Department of Obstetrics and Gynecology , Ekahospital BSD City , Tangerang , Banten , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1710-3909","authenticated-orcid":false,"given":"Muhammad Adrianes","family":"Bachnas","sequence":"additional","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Medical Faculty of Sebelas Maret University, Dr. Moewardi Hospital , Surakarta , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julian","family":"Dewantiningrum","sequence":"additional","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Medical Faculty of Diponegoro University, Dr. Kariadi Hospital , Semarang , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mochammad Besari","family":"Adi Pramono","sequence":"additional","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Medical Faculty of Diponegoro University, Dr. Kariadi Hospital , Semarang , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nuswil","family":"Bernolian","sequence":"additional","affiliation":[{"name":"Maternal-Fetal Medicine Division, Department of Obstetrics and Gynecology , Faculty of Medicine Universitas Sriwijaya, Dr. Mohammad Hoesin General Hospital , Palembang , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cut Meurah","family":"Yeni","sequence":"additional","affiliation":[{"name":"Maternal-Fetal Medicine Division, Department of Obstetrics and Gynecology , Faculty of Medicine Universitas Syah Kuala, Dr. Zainoel Abidin General Hospital , Aceh , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anak Agung Gede","family":"Putra Wiradnyana","sequence":"additional","affiliation":[{"name":"Maternal-Fetal Medicine Division, Department of Obstetrics and Gynecology , Faculty of Medicine Universitas Udayana, Prof. Dr. I.G.N.G Ngoerah General Hospital , Bali , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"I Nyoman","family":"Hariyasa Sanjaya","sequence":"additional","affiliation":[{"name":"Maternal-Fetal Medicine Division, Department of Obstetrics and Gynecology , Faculty of Medicine Universitas Udayana, Prof. Dr. I.G.N.G Ngoerah General Hospital , Bali , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Ilham Aldika","family":"Akbar","sequence":"additional","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Medical Faculty of Airlangga University, Dr. Soetomo Hospital , Surabaya , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ernawati","family":"Darmawan","sequence":"additional","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Medical Faculty of Airlangga University, Dr. Soetomo Hospital , Surabaya , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sri","family":"Sulistyowati","sequence":"additional","affiliation":[{"name":"Maternal-Fetal Medicine Division, Department of Obstetrics and Gynecology , Faculty of Medicine Universitas Sebelas Maret, Sebelas Maret University Hospital , Solo , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Milan","family":"Stanojevic","sequence":"additional","affiliation":[{"name":"Department of Neonatology and Rare Diseases , Medical University of Warsaw , Warsaw , Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Asim","family":"Kurjak","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology , Medical School University of Zagreb , Zagreb , Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2025,11,17]]},"reference":[{"key":"2026051215204213614_j_jpm-2025-0231_ref_001","doi-asserted-by":"crossref","unstructured":"Burris, HH, Baccarelli, AA, Wright, RO, Sternthal, MJ, Coull, BA, Schwartz, J, et al.. Intrauterine inflammation and maternal exposure to ambient PM2.5 during preconception and pregnancy. Environ Health Perspect 2016;124:1608\u201313. https:\/\/doi.org\/10.1289\/EHP243.","DOI":"10.1289\/EHP243"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_002","doi-asserted-by":"crossref","unstructured":"Cardenas, A, Everson, TM, Houseman, EA, Rusiecki, JA, Wright, RO, Baker, ER, et al.. The placental epigenome as a molecular link between prenatal exposures and fetal development. Curr Environ Health Rep 2022;9:137\u201350. https:\/\/doi.org\/10.1007\/s40572-022-00315-1.","DOI":"10.1007\/s40572-022-00354-8"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_003","doi-asserted-by":"crossref","unstructured":"Chen, J, Fang, J, Zhang, Y, Huang, Y, Zeng, Y, Yang, J, et al.. Associations of adverse pregnancy outcomes with high ambient air pollution exposure: results from the project ELEFANT. Sci Total Environ 2021;761:143218. https:\/\/doi.org\/10.1016\/j.scitotenv.2020.143218.","DOI":"10.1016\/j.scitotenv.2020.143218"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_004","doi-asserted-by":"crossref","unstructured":"Ding, M, Zhang, Y, Zhang, Y, Zeng, Y, He, Y, Zhu, Y, et al.. Weekly prenatal PM2.5 and NO2 exposures in preterm, early term, and full-term births: a prospective cohort study in Beijing, China. Environ Int 2023;164:107270. https:\/\/doi.org\/10.1016\/j.envint.2022.107270.","DOI":"10.1016\/j.envint.2022.107270"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_005","doi-asserted-by":"crossref","unstructured":"Glover, V. Prenatal stress and its effects on the fetus and the child: possible underlying biological mechanisms. Adv Neurobiol 2015;10:269\u201383. https:\/\/doi.org\/10.1007\/978-1-4939-1372-5_13.","DOI":"10.1007\/978-1-4939-1372-5_13"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_006","doi-asserted-by":"crossref","unstructured":"Hong, X, Bartell, TR, Wang, X. Gaining a deeper understanding of social determinants of preterm birth by integrating multi-omics data. Pediatr Res 2021;89:336\u201343. https:\/\/doi.org\/10.1038\/s41390-020-01266-9.","DOI":"10.1038\/s41390-020-01266-9"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_007","doi-asserted-by":"crossref","unstructured":"Huang, L, Zhang, Y, Zhang, Y, Chen, R, Du, W, Zhang, Y, et al.. Maternal exposure to ambient air pollution and preterm birth in Shanghai, China: a time-series study. Environ Res 2020;183:109402. https:\/\/doi.org\/10.1016\/j.envres.2020.109402.","DOI":"10.1016\/j.envres.2020.109402"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_008","doi-asserted-by":"crossref","unstructured":"Joubert, BR, Felix, JF, Yousefi, P, Bakulski, KM, Just, AC, Breton, CV, et al.. Linking prenatal environmental exposures to lifetime health via DNA methylation: a review of epigenome-wide association studies in humans. Environ Epigenet 2023;9:dvac023. https:\/\/doi.org\/10.1093\/eep\/dvac023.","DOI":"10.1093\/eep\/dvac023"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_009","unstructured":"King, KE, Murphy, SK, Hoyo, C. Epigenetic responses to nonchemical stressors: a review of the evidence and implications for research and public health. Environ Health Perspect 2024;132:016001. https:\/\/doi.org\/10.1289\/EHP11226."},{"key":"2026051215204213614_j_jpm-2025-0231_ref_010","doi-asserted-by":"crossref","unstructured":"La Merrill, MA, Vandenberg, LN, Smith, MT, Goodson, WH, Browne, P, Patisaul, HB, et al.. Prenatal exposures to endocrine disrupting chemicals: a review of the effects on birth and childhood outcomes. Environ Res 2023;216:114674. https:\/\/doi.org\/10.1016\/j.envres.2022.114674.","DOI":"10.1016\/j.envres.2022.114674"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_011","doi-asserted-by":"crossref","unstructured":"Lee, S, Kwon, E, Lee, G, Kim, S, Bae, S, Hur, YM, et al.. Effect of particulate matter 2.5 on fetal growth in male and preterm infants through oxidative stress. Antioxidants (Basel) 2023;12:1916. https:\/\/doi.org\/10.3390\/antiox12111916.","DOI":"10.3390\/antiox12111916"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_012","doi-asserted-by":"crossref","unstructured":"Li, Y, Zhang, Y, Zhang, Y, Chen, R, Zeng, Y, Ding, M, et al.. PM2.5 exposure exaggerates the risk of adverse birth outcomes in women with hyperlipidemia: a birth cohort study in Beijing, China. Environ Int 2021;148:106376. https:\/\/doi.org\/10.1016\/j.envint.2020.106376.","DOI":"10.1016\/j.envint.2020.106376"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_013","doi-asserted-by":"crossref","unstructured":"Liu, Y, Zhang, Y, Zhang, Y, Zeng, Y, Zhang, Y, Huang, Y, et al.. Exposure to ambient fine particulate matter and risk of preterm birth: a prospective cohort study in Beijing, China. Environ Int 2021;148:106376. https:\/\/doi.org\/10.1016\/j.envint.2020.106376.","DOI":"10.1016\/j.envint.2020.106376"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_014","doi-asserted-by":"crossref","unstructured":"Nowak, AL, Smith, AK, Mackos, AR, Neiman, E, Gillespie, SL. Stress during pregnancy and epigenetic modifications to offspring DNA: a systematic review of associations and implications for preterm birth. J Perinat Neonatal Nurs 2020;34:134\u201345. https:\/\/doi.org\/10.1097\/JPN.0000000000000471.","DOI":"10.1097\/JPN.0000000000000471"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_015","doi-asserted-by":"crossref","unstructured":"Simmons, RA. Maternal epigenetics and fetal and neonatal growth. Curr Opin Endocrinol Diabetes Obes 2015;22:439\u201346. https:\/\/doi.org\/10.1097\/MED.0000000000000183.","DOI":"10.1097\/MED.0000000000000183"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_016","doi-asserted-by":"crossref","unstructured":"Vrijheid, M, Casas, M, Gascon, M, Valvi, D, Nieuwenhuijsen, M. Environmental pollutants and child health\u2014A review of recent concerns. Int J Hyg Environ Health 2016;219:331\u201342. https:\/\/doi.org\/10.1016\/j.ijheh.2016.05.001.","DOI":"10.1016\/j.ijheh.2016.05.001"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_017","doi-asserted-by":"crossref","unstructured":"Vrijheid, M, Casas, M, Gascon, M, Valvi, D, Nieuwenhuijsen, M, van den Hazel, P, et al.. The human early-life exposome (HELIX): project rationale and design. Environ Health Perspect 2014;122:535\u201344. https:\/\/doi.org\/10.1289\/ehp.1307204.","DOI":"10.1289\/ehp.1307204"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_018","doi-asserted-by":"crossref","unstructured":"Zhou, Y, Zhang, Y, Zhang, Y, Zhao, Y, Liu, C, Wu, K, et al.. Exposure to ambient air pollution during pregnancy and inflammatory biomarkers in maternal and cord blood: the MIREC study. Environ Res 2022;204:111984. https:\/\/doi.org\/10.1016\/j.envres.2021.111984.","DOI":"10.1016\/j.envres.2021.111984"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_019","doi-asserted-by":"crossref","unstructured":"Krausov\u00e1, M, Braun, D, Buerki-Thurnherr, T, Gundacker, C, Schernhammer, E, Wisgrill, L, et al.. Understanding the chemical exposome during fetal development and early childhood: a review. Annu Rev Pharmacol Toxicol 2023;63:517\u201340. https:\/\/doi.org\/10.1146\/annurev-pharmtox-051922-113350.","DOI":"10.1146\/annurev-pharmtox-051922-113350"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_020","doi-asserted-by":"crossref","unstructured":"Rager, JE, Bangma, J, Carberry, C, Chao, A, Grossman, J, Lu, K, et al.. Review of the environmental prenatal exposome and its relationship to maternal and fetal health. Reprod Toxicol 2020;98:1\u201312. https:\/\/doi.org\/10.1016\/j.reprotox.2020.02.004.","DOI":"10.1016\/j.reprotox.2020.02.004"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_021","doi-asserted-by":"crossref","unstructured":"Fang, Y, Yin, W, He, C, Shen, Q, Xu, Y, Liu, C, et al.. Adverse impact of phthalate and polycyclic aromatic hydrocarbon mixtures on birth outcomes: a metabolome exposome-wide association study. Environ Pollut 2024;357:124460. https:\/\/doi.org\/10.1016\/j.envpol.2024.124460.","DOI":"10.1016\/j.envpol.2024.124460"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_022","doi-asserted-by":"crossref","unstructured":"Tartaglia, M, Costet, N, Audignon-Durand, S, Carles, C, Descatha, A, Falkstedt, D, et al.. Profiles of the maternal occupational exposome during pregnancy and associations with intrauterine growth: analysis of the French Longitudinal Study of Children \u2013 ELFE study. Environ Res 2025;267:120669. https:\/\/doi.org\/10.1016\/j.envres.2024.120669.","DOI":"10.1016\/j.envres.2024.120669"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_023","doi-asserted-by":"crossref","unstructured":"Villani, L, Pezzullo, AM, Pastorino, R, Maio, A, Stollagli, F, Tirone, C, et al.. Environmental maternal exposures and the risk of premature birth and intrauterine growth restriction: the Generation Gemelli study protocol of newborn exposome. PLoS One 2025;20:e0317458. https:\/\/doi.org\/10.1371\/journal.pone.0317458.","DOI":"10.1371\/journal.pone.0317458"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_024","doi-asserted-by":"crossref","unstructured":"Kotsakis Ruehlmann, A, Sammallahti, S, Cort\u00e9s Hidalgo, AP, Bakulski, KM, Binder, EB, Czamara, D, et al.. Epigenome-wide meta-analysis of prenatal maternal stressful life events and newborn DNA methylation. Mol Psychiatr 2023;28:5090\u2013100. https:\/\/doi.org\/10.1038\/s41380-023-02010-5.","DOI":"10.1038\/s41380-023-02010-5"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_025","doi-asserted-by":"crossref","unstructured":"Contini, T, B\u00e9ranger, R, Multigner, L, Kl\u00e1nov\u00e1, J, Price, EJ, David, A. A critical review on the opportunity to use placenta and innovative biomonitoring methods to characterize the prenatal chemical exposome. Environ Sci Technol 2023;57:15301\u201313. https:\/\/doi.org\/10.1021\/acs.est.3c04845.","DOI":"10.1021\/acs.est.3c04845"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_026","doi-asserted-by":"crossref","unstructured":"Georges, HM, Norwitz, ER, Abrahams, VM. Predictors of inflammation-mediated preterm birth. Physiology (Bethesda) 2025;40:0. https:\/\/doi.org\/10.1152\/physiol.00022.2024.","DOI":"10.1152\/physiol.00022.2024"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_027","doi-asserted-by":"crossref","unstructured":"Seid, A, Cumpston, MS, Ahmed, KY, Bizuayehu, HM, Thapa, S, Tegegne, TK, et al.. The intergenerational association of preterm birth: a systematic review and meta-analysis. BJOG 2025;132:18\u201326. https:\/\/doi.org\/10.1111\/1471-0528.17924.","DOI":"10.1111\/1471-0528.17924"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_028","doi-asserted-by":"crossref","unstructured":"Lv, M, Jia, Y, Dong, J, Wu, S, Ying, H. The landscape of decidual immune cells at the maternal\u2013fetal interface in parturition and preterm birth. Inflamm Res 2025;74:44. https:\/\/doi.org\/10.1007\/s00011-025-02015-6.","DOI":"10.1007\/s00011-025-02015-6"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_029","doi-asserted-by":"crossref","unstructured":"Wen, X, Liang, W, Zhai, J, Wang, Y, Zheng, P, Wang, S. The association between interpregnancy intervals and preterm birth: a systematic review and meta-analysis. BMC Pregnancy Childbirth 2025;25:226. https:\/\/doi.org\/10.1186\/s12884-025-07259-y.","DOI":"10.1186\/s12884-025-07259-y"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_030","doi-asserted-by":"crossref","unstructured":"Filatava, EJ, Overton, NE, El Habbal, N, Capotosto, MP, Gregas, M, Gregory, KE. Women who give birth preterm do not meet dietary guidelines during pregnancy. MCN Am J Matern\/Child Nurs 2024;49:44\u201351. https:\/\/doi.org\/10.1097\/NMC.0000000000000968.","DOI":"10.1097\/NMC.0000000000000968"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_031","doi-asserted-by":"crossref","unstructured":"Hadhoum, S, Subtil, D, Labreuche, J, Couvreur, E, Brabant, G, Dessein, R, et al.. Reassessing the association between bacterial vaginosis and preterm birth: a systematic review and meta-analysis. J Gynecol Obstet Hum Reprod 2025;54:102871. https:\/\/doi.org\/10.1016\/j.jogoh.2024.102871.","DOI":"10.1016\/j.jogoh.2024.102871"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_032","doi-asserted-by":"crossref","unstructured":"Guzeloglu-Kayisli, O, Ozmen, A, Un, BC, Un, B, Blas, J, Johnson, I, et al.. Targeting FKBP51 prevents stress-induced preterm birth. EMBO Mol Med 2025;17:775\u201396. https:\/\/doi.org\/10.1038\/s44321-025-00211-9.","DOI":"10.1038\/s44321-025-00211-9"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_033","doi-asserted-by":"crossref","unstructured":"Kloska, A, Harmoza, A, Kloska, SM, Marciniak, T, Sadowska-Krawczenko, I. Predicting preterm birth using machine learning methods. Sci Rep 2025;15:5683. https:\/\/doi.org\/10.1038\/s41598-025-89905-1.","DOI":"10.1038\/s41598-025-89905-1"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_034","doi-asserted-by":"crossref","unstructured":"Khezri, R, Askari, S, Jahanian, S, Ashayeri, N. Preterm birth and public health challenges: incidence and risk factors. Public Health 2025;242:186\u201391. https:\/\/doi.org\/10.1016\/j.puhe.2025.03.003.","DOI":"10.1016\/j.puhe.2025.03.003"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_035","doi-asserted-by":"crossref","unstructured":"Gottardi, E, Lorthe, E, Schmitz, T, Mandelbrot, L, Luton, D, Estellat, C, et al.. Maternal social deprivation and preterm birth: the PreCARE cohort study. Paediatr Perinat Epidemiol 2025;39:1\u201311. https:\/\/doi.org\/10.1111\/ppe.13126.","DOI":"10.1111\/ppe.13126"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_036","doi-asserted-by":"crossref","unstructured":"Zhu, T, Shen, D, Cai, X, Jin, Y, Tu, H, Wang, S, et al.. The causal relationship between gut microbiota and preterm birth: a two-sample Mendelian randomization study. J Matern Fetal Neonatal Med 2025;38:2432528. https:\/\/doi.org\/10.1080\/14767058.2024.2432528.","DOI":"10.1080\/14767058.2024.2432528"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_037","doi-asserted-by":"crossref","unstructured":"Reznik, SE, Kashou, A, Ward, D, Yellon, SMN. N-dimethylacetamide blocks inflammation-induced preterm birth and remediates maternal systemic immune responses. Sci Rep 2025;15:8234. https:\/\/doi.org\/10.1038\/s41598-025-93282-0.","DOI":"10.1038\/s41598-025-93282-0"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_038","doi-asserted-by":"crossref","unstructured":"Peng, X, Wang, T, Dai, B, Zhu, Y, Ji, M, Yang, P, et al.. Gene therapy for inflammatory cascade in intrauterine injury with engineered extracellular vesicles hybrid snail mucus-enhanced adhesive hydrogels. Adv Sci (Weinh) 2025;12:e2410769. https:\/\/doi.org\/10.1002\/advs.202410769.","DOI":"10.1002\/advs.202410769"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_039","doi-asserted-by":"crossref","unstructured":"Wang, M, Liu, Y, Sun, R, Liu, F, Li, J, Yan, L, et al.. Single-nucleus multi-omic profiling of human placental syncytiotrophoblasts identifies cellular trajectories during pregnancy. Nat Genet 2024;56:294\u2013305. https:\/\/doi.org\/10.1038\/s41588-023-01647-w.","DOI":"10.1038\/s41588-023-01647-w"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_040","doi-asserted-by":"crossref","unstructured":"Karjalainen, MK, Karthikeyan, S, Oliver-Williams, C, Sliz, E, Allara, E, Fung, WT, et al.. Genome-wide characterization of circulating metabolic biomarkers. Nature 2024;628:130\u20138. https:\/\/doi.org\/10.1038\/s41586-024-07148-y.","DOI":"10.1038\/s41586-024-07148-y"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_041","doi-asserted-by":"crossref","unstructured":"Fu, Y, Gou, W, Wu, P, Lai, Y, Liang, X, Zhang, K, et al.. Landscape of the gut mycobiome dynamics during pregnancy and its relationship with host metabolism and pregnancy health. Gut 2024;73:1302\u201312. https:\/\/doi.org\/10.1136\/gutjnl-2024-332260.","DOI":"10.1136\/gutjnl-2024-332260"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_042","doi-asserted-by":"crossref","unstructured":"Hu, H, Ma, J, Peng, Y, Feng, R, Luo, C, Zhang, M, et al.. Thrombospondin-1 regulates trophoblast necroptosis via NEDD4-mediated ubiquitination of TAK1 in preeclampsia. Adv Sci (Weinh) 2024;11:e2309002. https:\/\/doi.org\/10.1002\/advs.202309002.","DOI":"10.1002\/advs.202309002"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_043","doi-asserted-by":"crossref","unstructured":"Rahnavard, A, Chatterjee, R, Wen, H, Gaylord, C, Mugusi, S, Klatt, KC, et al.. Molecular epidemiology of pregnancy using omics data: advances, success stories, and challenges. J Transl Med 2024;22:106. https:\/\/doi.org\/10.1186\/s12967-024-04876-7.","DOI":"10.1186\/s12967-024-04876-7"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_044","doi-asserted-by":"crossref","unstructured":"Haniffa, M, Maartens, A, Winheim, E, Jardine, L. Decoding the human prenatal immune system with single-cell multi-omics. Nat Rev Immunol 2025;25:285\u201397. https:\/\/doi.org\/10.1038\/s41577-024-01099-1.","DOI":"10.1038\/s41577-024-01099-1"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_045","doi-asserted-by":"crossref","unstructured":"Doratt, BM, True, HE, Sureshchandra, S, Qiao, Q, Rincon, M, Marshall, NE, et al.. The immune landscape of fetal chorionic villous tissue in term placenta. Front Immunol 2025;15:1506305. https:\/\/doi.org\/10.3389\/fimmu.2024.1506305.","DOI":"10.3389\/fimmu.2024.1506305"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_046","doi-asserted-by":"crossref","unstructured":"Lea, G, Doria-Borrell, P, Ferrero-Mic\u00f3, A, Varma, A, Simon, C, Anderson, H, et al.. Ectopic expression of DNMT3L in human trophoblast stem cells restores features of the placental methylome. Cell Stem Cell 2025;32:276\u201392.e9. https:\/\/doi.org\/10.1016\/j.stem.2024.12.007.","DOI":"10.1016\/j.stem.2024.12.007"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_047","doi-asserted-by":"crossref","unstructured":"Wu, SPS, Quiroz, E, Wang, T, Montague Redecke, SG, Xu, X, Lin, L, et al.. Assessment of the histone mark-based epigenomic landscape in human myometrium at term pregnancy. eLife 2025;13:RP95897. https:\/\/doi.org\/10.1101\/2024.02.19.581035.","DOI":"10.7554\/eLife.95897"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_048","doi-asserted-by":"crossref","unstructured":"Friedman, C, Niemiec, S, Dabelea, D, Kechris, K, Yang, IV, Adgate, JL, et al.. Prenatal black carbon exposure and DNA methylation in umbilical cord blood. Int J Hyg Environ Health 2025;263:114464. https:\/\/doi.org\/10.1016\/j.ijheh.2024.114464.","DOI":"10.1016\/j.ijheh.2024.114464"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_049","doi-asserted-by":"crossref","unstructured":"Barcelona, V, Ray, M, Zhao, Y, Samari, G, Wu, H, Reho, P, et al.. Epigenomic pathways from racism to preterm birth: secondary analysis of the Nulliparous Pregnancy Outcomes Study cohort in the USA. BMJ Open 2025;15:e091801. https:\/\/doi.org\/10.1136\/bmjopen-2024-091801.","DOI":"10.1136\/bmjopen-2024-091801"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_050","doi-asserted-by":"crossref","unstructured":"van Vliet, MM, Schoenmakers, S, Boers, RG, van der Meeren, LE, Gribnau, J, Steegers-Theunissen, RPM. Methylome profiling of cell-free DNA during the early life course in (un)complicated pregnancies using MeD-seq: protocol for a cohort study. PLoS One 2025;20:e0310019. https:\/\/doi.org\/10.1371\/journal.pone.0310019.","DOI":"10.1371\/journal.pone.0310019"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_051","doi-asserted-by":"crossref","unstructured":"Li, L, Baek, KH. Exploring potential biomarkers in recurrent pregnancy loss: a literature review of omics studies to molecular mechanisms. Int J Mol Sci 2025;26:2263. https:\/\/doi.org\/10.3390\/ijms26052263.","DOI":"10.3390\/ijms26052263"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_052","doi-asserted-by":"crossref","unstructured":"Mumcu, A, Sar\u0131do\u011fan, E, D\u00fcz, SA, Tuncay, G, Erdo\u011fan, A, Karaer, K, et al.. Multi-omics analysis of placental metabolomics and transcriptomics datasets reveals comprehensive insights into the pathophysiology of preeclampsia. J Pharm Biomed Anal 2025;256:116701. https:\/\/doi.org\/10.1016\/j.jpba.2025.116701.","DOI":"10.1016\/j.jpba.2025.116701"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_053","doi-asserted-by":"crossref","unstructured":"Puvvula, J, Song, LC, Zalewska, KJ, Alexander, A, Manz, KE, Braun, JM, et al.. Global metabolomic alterations associated with endocrine-disrupting chemicals among pregnant individuals and newborns. Metabolomics 2025;21:20. https:\/\/doi.org\/10.1007\/s11306-024-02219-7.","DOI":"10.1007\/s11306-024-02219-7"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_054","doi-asserted-by":"crossref","unstructured":"Shi, Y, Li, K, Ding, R, Li, X, Cheng, Z, Liu, J, et al.. Untargeted metabolomics and machine learning unveil the exposome and metabolism linked with the risk of early pregnancy loss. J Hazard Mater 2025;488:137362. https:\/\/doi.org\/10.1016\/j.jhazmat.2025.137362.","DOI":"10.1016\/j.jhazmat.2025.137362"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_055","doi-asserted-by":"crossref","unstructured":"Okuda, K, Nagano, N, Nakazaki, K, Matsuda, K, Tokunaga, W, Fuwa, K, et al.. Metabolomic profiles of preterm small-for-gestational age infants. Pediatr Neonatol 2025;66:50\u20134. https:\/\/doi.org\/10.1016\/j.pedneo.2023.11.012.","DOI":"10.1016\/j.pedneo.2023.11.012"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_056","doi-asserted-by":"crossref","unstructured":"Chen, W, Qiu, C, Hao, J, Liao, J, Lurmann, F, Pavlovic, N, et al.. Maternal metabolomics linking prenatal exposure to fine particulate matter and birth weight: a cross-sectional analysis of the MADRES cohort. Environ Health 2025;24:14. https:\/\/doi.org\/10.1186\/s12940-025-01162-x.","DOI":"10.1186\/s12940-025-01162-x"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_057","doi-asserted-by":"crossref","unstructured":"Meng, X, Shi, M, Qian, J, Luo, Y, Cui, L, Li, D, et al.. Tacrolimus (FK506) promotes placentation and maternal-fetal tolerance through modulating FASN-CEACAM1 pathway. Front Immunol 2025;16:1522346. https:\/\/doi.org\/10.3389\/fimmu.2025.1522346.","DOI":"10.3389\/fimmu.2025.1522346"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_058","doi-asserted-by":"crossref","unstructured":"Nonn, O, Debnath, O, Valdes, DS, Sallinger, K, Secener, AK, Fischer, C, et al.. Senescent syncytiotrophoblast secretion during early onset preeclampsia. Hypertension 2025;82:787\u201399. https:\/\/doi.org\/10.1161\/HYPERTENSIONAHA.124.23362.","DOI":"10.1161\/HYPERTENSIONAHA.124.23362"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_059","doi-asserted-by":"crossref","unstructured":"Li, S, Zhang, Y, Yuan, R, Zhu, S, Bai, J, Miao, Y, et al.. ARHGAP26 deficiency drives the oocyte aneuploidy and early embryonic development failure. Cell Death Differ 2025;32:291\u2013305. https:\/\/doi.org\/10.1038\/s41418-024-01384-5.","DOI":"10.1038\/s41418-024-01384-5"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_060","doi-asserted-by":"crossref","unstructured":"Cyr-Depauw, C, Mi\u017eik, I, Cook, DP, Lesage, F, Vadivel, A, Messaoudi, I, et al.. Single-cell RNA sequencing to guide autologous preterm cord mesenchymal stromal cell therapy. Am J Respir Crit Care Med 2025;211:391\u2013406. https:\/\/doi.org\/10.1164\/rccm.202403-0569OC.","DOI":"10.1164\/rccm.202403-0569OC"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_061","doi-asserted-by":"crossref","unstructured":"Luo, Y, An, C, Zhong, K, Zhou, P, Li, D, Liu, H, et al.. Exploring the impacts of senescence on implantation and early embryonic development using totipotent cell-derived blastoids. J Adv Res 2025;68:115\u201329. https:\/\/doi.org\/10.1016\/j.jare.2024.02.011.","DOI":"10.1016\/j.jare.2024.02.011"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_062","doi-asserted-by":"crossref","unstructured":"Hu, H, Peng, Y, Wang, CC, Chen, J, Yu, X, Chen, X, et al.. Neutrophil extracellular traps induce trophoblasts pyroptosis via enhancing NLRP3 lactylation in SLE pregnancies. J Autoimmun 2025;153:103411. https:\/\/doi.org\/10.1016\/j.jaut.2025.103411.","DOI":"10.1016\/j.jaut.2025.103411"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_063","doi-asserted-by":"crossref","unstructured":"d\u2019Errico, A, Popovic, M, Pizzi, C, Moirano, G, Moccia, C, Richiardi, L, et al.. Maternal occupational exposures during early stages of pregnancy and adverse birth outcomes in the NINFEA birth cohort. PLoS One 2025;20:e0313085. https:\/\/doi.org\/10.1371\/journal.pone.0313085.","DOI":"10.1371\/journal.pone.0313085"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_064","doi-asserted-by":"crossref","unstructured":"Li, X, Ran, M, Wang, M, Liu, A, Qiao, B, Han, B, et al.. PM2.5 constituent exposures and maternal circulatory homocysteine in early pregnancy. Environ Health 2025;24:7. https:\/\/doi.org\/10.1186\/s12940-025-01160-z.","DOI":"10.1186\/s12940-025-01160-z"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_065","doi-asserted-by":"crossref","unstructured":"Lakhoo, DP, Brink, N, Radebe, L, Craig, MH, Pham, MD, Haghighi, MM, et al.. A systematic review and meta-analysis of heat exposure impacts on maternal, fetal and neonatal health. Nat Med 2025;31:684\u201394. https:\/\/doi.org\/10.1038\/s41591-024-03395-8.","DOI":"10.1038\/s41591-024-03395-8"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_066","doi-asserted-by":"crossref","unstructured":"Xie, Y, Xiao, H, Zheng, D, Mahai, G, Li, Y, Xia, W, et al.. Associations of prenatal metal exposure with child neurodevelopment and mediation by perturbation of metabolic pathways. Nat Commun 2025;16:2089. https:\/\/doi.org\/10.1038\/s41467-025-57253-3.","DOI":"10.1038\/s41467-025-57253-3"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_067","doi-asserted-by":"crossref","unstructured":"Nakamura, K. Immunotoxicological disruption of pregnancy as a new research area in immunotoxicology. J Immunot 2025;22:2475772. https:\/\/doi.org\/10.1080\/1547691X.2025.2475772.","DOI":"10.1080\/1547691X.2025.2475772"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_068","doi-asserted-by":"crossref","unstructured":"Andrade, C. Autism spectrum disorder, 1: genetic and environmental risk factors. J Clin Psychiatry 2025;86:25f15878. https:\/\/doi.org\/10.4088\/JCP.25f15878.","DOI":"10.4088\/JCP.25f15878"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_069","doi-asserted-by":"crossref","unstructured":"Chen, Z, Zheng, M, Wan, T, Li, J, Yuan, X, Qin, L, et al.. Gestational exposure to nanoplastics disrupts fetal development by promoting the placental aging via ferroptosis of syncytiotrophoblast. Environ Int 2025;197:109361. https:\/\/doi.org\/10.1016\/j.envint.2025.109361.","DOI":"10.1016\/j.envint.2025.109361"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_070","doi-asserted-by":"crossref","unstructured":"Panneerselvam, D, Murugesan, A, Raveendran, SK, Kumar, JS, Venkataraman, P. Examining the hidden dangers: understanding how microplastics affect pregnancy. Eur J Obstet Gynecol Reprod Biol 2025;304:53\u201362. https:\/\/doi.org\/10.1016\/j.ejogrb.2024.11.024.","DOI":"10.1016\/j.ejogrb.2024.11.024"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_071","doi-asserted-by":"crossref","unstructured":"Peeples, ES, Molloy, EJ, Bearer, CF. Novel biomarkers of fetal and neonatal environmental exposure, effect and susceptibility. Pediatr Res 2025;98:813\u20138. https:\/\/doi.org\/10.1038\/s41390-025-03816-5.","DOI":"10.1038\/s41390-025-03816-5"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_072","doi-asserted-by":"crossref","unstructured":"Veras, MM, Saldiva, PHN. Impact of air pollution and climate change on maternal, fetal and postnatal health. J Pediatr (Rio J). 2025;101:S48\u201355. https:\/\/doi.org\/10.1016\/j.jped.2024.10.006.","DOI":"10.1016\/j.jped.2024.10.006"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_073","doi-asserted-by":"crossref","unstructured":"Kobayashi, S, Saijo, Y, Itoh, M, Tamura, N, Tojo, M, Iwata, H, et al.. Effects of the maternal work environment on psychological distress during pregnancy: the Japan Environment and Children\u2019s Study. J Occup Environ Med 2025;67:89\u201399. https:\/\/doi.org\/10.1097\/JOM.0000000000003276.","DOI":"10.1097\/JOM.0000000000003276"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_074","doi-asserted-by":"crossref","unstructured":"Cai, R, Yang, Q, Liao, Y, Qin, L, Han, J, Gao, R. Immune treatment strategies in unexplained recurrent pregnancy loss. Am J Reprod Immunol. 2025;93:e70060. https:\/\/doi.org\/10.1111\/aji.70060.","DOI":"10.1111\/aji.70060"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_075","doi-asserted-by":"crossref","unstructured":"Monticciolo, I, Guarano, A, Inversetti, A, Barbaro, G, Di Simone, N. Unexplained recurrent pregnancy loss: clinical application of immunophenotyping. Am J Reprod Immunol 2024;92:e13939.","DOI":"10.1111\/aji.13939"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_076","doi-asserted-by":"crossref","unstructured":"Jiang, L, Zhang, L, Xia, J, Cheng, L, Chen, G, Wang, J, et al.. Probiotics supplementation during pregnancy or infancy on multiple food allergies and gut microbiota: a systematic review and meta-analysis. Nutr Rev 2025;83:e25\u201341. https:\/\/doi.org\/10.1093\/nutrit\/nuae024.","DOI":"10.1093\/nutrit\/nuae024"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_077","doi-asserted-by":"crossref","unstructured":"Matsumura, K, Hamazaki, K, Tsuchida, A, Inadera, H; Japan Environment and Children\u2019s Study (JECS) Group, Yamazaki, S, et al.. Prospective association of air purifier use during pregnancy with the neurodevelopment of toddlers in the Japan Environment and Children\u2019s Study. Sci Rep 2021;11:19454. https:\/\/doi.org\/10.1038\/s41598-021-98482-y.","DOI":"10.3390\/jcm9061924"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_078","doi-asserted-by":"crossref","unstructured":"Orchanian, SB, Hsiao, EY. The microbiome as a modulator of neurological health across the maternal-offspring interface. J Clin Investig 2025;135:e184314. https:\/\/doi.org\/10.1172\/JCI184314.","DOI":"10.1172\/JCI184314"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_079","doi-asserted-by":"crossref","unstructured":"Xie, Y, Chen, Q, Shan, D, Pan, X, Hu, Y. Unraveling the role of the gut microbiome in pregnancy disorders: insights and implications. Front Cell Infect Microbiol 2025;15:1521754. https:\/\/doi.org\/10.3389\/fcimb.2025.1521754.","DOI":"10.3389\/fcimb.2025.1521754"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_080","doi-asserted-by":"crossref","unstructured":"Enache, RM, Ro\u015fu, OA, Profir, M, Pavelescu, LA, Cre\u0163oiu, SM, Gaspar, BS. Correlations between gut microbiota composition, medical nutrition therapy, and insulin resistance in pregnancy: a narrative review. Int J Mol Sci 2025;26:1372. https:\/\/doi.org\/10.3390\/ijms26031372.","DOI":"10.3390\/ijms26031372"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_081","doi-asserted-by":"crossref","unstructured":"Nardi, E, Seidita, I, Abati, I, Donati, C, Bernacchioni, C, Castiglione, F, et al.. The placenta in fetal death: molecular evidence of dysregulation of inflammatory, proliferative, and fetal protective pathways. Am J Obstet Gynecol 2025;232:328.e1\u2013328.e9. https:\/\/doi.org\/10.1016\/j.ajog.2024.06.011.","DOI":"10.1016\/j.ajog.2024.06.011"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_082","doi-asserted-by":"crossref","unstructured":"Llorca, T, Ruiz-Maga\u00f1a, MJ, Abad\u00eda, AC, Ruiz-Ruiz, C, Olivares, EG. Decidual stromal cells: fibroblasts specialized in immunoregulation during pregnancy. Trends Immunol 2025;46:138\u201352. https:\/\/doi.org\/10.1016\/j.it.2024.12.007.","DOI":"10.1016\/j.it.2024.12.007"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_083","doi-asserted-by":"crossref","unstructured":"Li, B, Xiong, Y, Guo, D, Deng, G, Wu, H. The gut-reproductive axis: bridging microbiota balances to reproductive health and fetal development. Int Immunopharmacol 2025;144:113627. https:\/\/doi.org\/10.1016\/j.intimp.2024.113627.","DOI":"10.1016\/j.intimp.2024.113627"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_084","doi-asserted-by":"crossref","unstructured":"Dang, H, Feng, P, Zhang, S, Peng, L, Xing, S, Li, Y, et al.. Maternal gut microbiota influence stem cell function in offspring. Cell Stem Cell 2025;32:246\u201362.e8. https:\/\/doi.org\/10.1016\/j.stem.2024.10.003.","DOI":"10.1016\/j.stem.2024.10.003"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_085","doi-asserted-by":"crossref","unstructured":"Gu, B, Ferreira, LMR, Herrera, S, Brown, L, Lieberman, J, Sherwood, RI, et al.. The TEA domain transcription factors TEAD1 and TEAD3 and WNT signaling determine HLA-G expression in human extravillous trophoblasts. Proc Natl Acad Sci U S A. 2025;122:e2425339122. https:\/\/doi.org\/10.1073\/pnas.2425339122.","DOI":"10.1073\/pnas.2425339122"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_086","doi-asserted-by":"crossref","unstructured":"Cai, S, Xue, B, Li, S, Wang, X, Zeng, X, Zhu, Z, et al.. Methionine regulates maternal-fetal immune tolerance and endometrial receptivity by enhancing embryonic IL-5 secretion. Cell Rep 2025;44:115291. https:\/\/doi.org\/10.1016\/j.celrep.2025.115291.","DOI":"10.1016\/j.celrep.2025.115291"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_087","doi-asserted-by":"crossref","unstructured":"Acharya, B, Behera, A, Moharana, S, Prajapati, BG, Behera, S. Nanoparticle-mediated embryotoxicity: mechanisms of chemical toxicity and implications for biological development. Chem Res Toxicol 2025;38:521\u201341. https:\/\/doi.org\/10.1021\/acs.chemrestox.4c00472.","DOI":"10.1021\/acs.chemrestox.4c00472"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_088","doi-asserted-by":"crossref","unstructured":"He, L, Zheng, S, Zhan, F, Lin, N. The role of necroptosis in pathological pregnancies: mechanisms and therapeutic opportunities. J Reprod Immunol 2025;169:104460. https:\/\/doi.org\/10.1016\/j.jri.2025.104460.","DOI":"10.1016\/j.jri.2025.104460"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_089","doi-asserted-by":"crossref","unstructured":"Nong, Y, Zhai, Q, Liu, W, Wei, J, Wang, Z, Lv, X, et al.. AQP3 influences unexplained recurrent abortion by regulating trophoblast cell migration and invasion via the METTL14\/IGF2BP1\/AQP3\/PI3K\/AKT pathway. J Cell Mol Med 2025;29:e70325. https:\/\/doi.org\/10.1111\/jcmm.70325.","DOI":"10.1111\/jcmm.70325"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_090","doi-asserted-by":"crossref","unstructured":"Shukla, AK, Ahamad, S, Kukshal, P. Computational insights into maternal environmental pollutants and folate pathway regulation. Reprod Toxicol 2025;132:108825. https:\/\/doi.org\/10.1016\/j.reprotox.2024.108825.","DOI":"10.1016\/j.reprotox.2024.108825"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_091","doi-asserted-by":"crossref","unstructured":"Singh, S, Goel, I, Quadri, JA, Minocha, R, Kashyap, N, Rana, A, et al.. Environmental pollutant SO2 exposure affects trophoblast function involving an ER stress pathway. J Physiol 2025;603:1263\u201379. https:\/\/doi.org\/10.1113\/JP287409.","DOI":"10.1113\/JP287409"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_092","doi-asserted-by":"crossref","unstructured":"Moss, CG, Dilworth, MR, Harris, LK, Freeman, S, Heazell, AEP. Understanding a potential role for the NLRP3 inflammasome in placenta-mediated pregnancy complications. Am J Reprod Immunol 2025;93:e70077. https:\/\/doi.org\/10.1111\/aji.70077.","DOI":"10.1111\/aji.70077"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_093","doi-asserted-by":"crossref","unstructured":"Muse, ME, Wang, Y, Gilbert-Diamond, D, Armstrong, DA, Hoen, AG, Romano, ME, et al.. Maternal diet quality and circulating extracellular vesicle and particle miRNA during pregnancy. Eur J Nutr 2025;64:75. https:\/\/doi.org\/10.1007\/s00394-025-03589-x.","DOI":"10.1007\/s00394-025-03589-x"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_094","doi-asserted-by":"crossref","unstructured":"Zhang, M, Li, K, Huang, X, Zhou, H, Tan, J, Guo, Z, et al.. Gene expression profiles based on maternal plasma cfDNA nucleosome footprints indicate fetal development and maternal immunity changes during pregnancy progress. Placenta 2025;159:84\u201392. https:\/\/doi.org\/10.1016\/j.placenta.2024.12.005.","DOI":"10.1016\/j.placenta.2024.12.005"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_095","doi-asserted-by":"crossref","unstructured":"Wang, T, Sun, L, Li, M, Zhang, Y, Huang, L. Transcriptomics reveals preterm birth risk: identification and validation of key genes in monocytes. BMC Pregnancy Childbirth 2025;25:174. https:\/\/doi.org\/10.1186\/s12884-025-07293-w.","DOI":"10.1186\/s12884-025-07293-w"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_096","doi-asserted-by":"crossref","unstructured":"Kong, L, Yang, H, Yang, J, Jiang, L, Xu, B, Yang, T, et al.. Role of calcium overload-mediated disruption of mitochondrial dynamics in offspring neurotoxicity due to methylmercury exposure during pregnancy and lactation. Ecotoxicol Environ Saf 2025;291:117835. https:\/\/doi.org\/10.1016\/j.ecoenv.2025.117835.","DOI":"10.1016\/j.ecoenv.2025.117835"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_097","doi-asserted-by":"crossref","unstructured":"Neumann, A, Sammallahti, S, Cosin-Tomas, M, Reese, SE, Suderman, M, Alemany, S, et al.. Epigenetic timing effects on child developmental outcomes: a longitudinal meta-regression of findings from the Pregnancy and Childhood Epigenetics Consortium. Genome Med 2025;17:39. https:\/\/doi.org\/10.1186\/s13073-025-01451-7.","DOI":"10.1016\/j.euroneuro.2024.08.085"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_098","doi-asserted-by":"crossref","unstructured":"Sierla, JR, Pagerols Raluy, L, Trochimiuk, M, Trah, J, Petrosyan, M, Velasquez, LN, et al.. Disparity between functional and structural recovery of placental mitochondria after exposure to hypoxia. Int J Mol Sci 2025;26:2956. https:\/\/doi.org\/10.3390\/ijms26072956.","DOI":"10.3390\/ijms26072956"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_099","doi-asserted-by":"crossref","unstructured":"Adibi, JJ, Zhao, Y, Koistinen, H, Mitchell, RT, Barrett, ES, Miller, R, et al.. Molecular pathways in placental-fetal development and disruption. Mol Cell Endocrinol 2024;581:112075. https:\/\/doi.org\/10.1016\/j.mce.2023.112075.","DOI":"10.1016\/j.mce.2023.112075"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_100","doi-asserted-by":"crossref","unstructured":"Liu, L, Tang, L, Chen, S, Zheng, L, Ma, X. Decoding the molecular pathways governing trophoblast migration and placental development: a literature review. Front Endocrinol (Lausanne) 2024;15:1486608. https:\/\/doi.org\/10.3389\/fendo.2024.1486608.","DOI":"10.3389\/fendo.2024.1486608"},{"key":"2026051215204213614_j_jpm-2025-0231_ref_101","doi-asserted-by":"crossref","unstructured":"Scher, MS. The neural exposome influences the preterm fetal-to-neonatal connectome. Pediatr Res 2024;95:9\u201311. https:\/\/doi.org\/10.1038\/s41390-023-02804-x.","DOI":"10.1038\/s41390-023-02804-x"}],"container-title":["Journal of Perinatal Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jpm-2025-0231\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jpm-2025-0231\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T15:32:29Z","timestamp":1778599949000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jpm-2025-0231\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,17]]},"references-count":101,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,11,19]]},"published-print":{"date-parts":[[2026,2,24]]}},"alternative-id":["10.1515\/jpm-2025-0231"],"URL":"https:\/\/doi.org\/10.1515\/jpm-2025-0231","relation":{},"ISSN":["0300-5577","1619-3997"],"issn-type":[{"value":"0300-5577","type":"print"},{"value":"1619-3997","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,17]]}}}