Nuswil Bernolian
Biomedicine Doctoral Program, Faculty Of Medicine, Universitas Sriwijaya, Palembang, South Sumatera, Indonesia / Division Of Maternal Fetal Medicine, Department Of Obstetrics And Gynecology, Mohammad Hoesin General Hospital/Faculty Of Medicine, Unive

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Placental micro- and nanoplastic contamination: A systematic review of eco-exposome pathways to preterm birth and neonatal outcomes Sanjaya, I Nyoman Hariyasa; Andonotopo, Wiku; Bachnas, Muhammad Adrianes; Dewantiningrum, Julian; Pramono, Mochammad Besari Adi; Mulyana, Ryan Saktika; Pangkahila, Evert Solomon; Akbar, Muhammad Ilham Aldika; Yeni, Cut Meurah; Aldiansyah, Dudy; Bernolian, Nuswil; Wiradnyana, Anak Agung Gede Putra; Pribadi, Adhi; Sulistyowati, Sri; Stanojevic, Milan; Kurjak, Asim
Majalah Obstetri & Ginekologi Vol. 34 No. 1 (2026): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/mog.V34I12026.70-83

Abstract

HIGHLIGHTS First comprehensive synthesis of human and mechanistic evidence linking placental micro- and nanoplastic (MNP) contamination to preterm birth and neonatal outcomes. Quantitative human studies demonstrate higher placental MNP burdens in preterm versus term pregnancies. Molecular pathways identified include oxidative stress, ferroptosis-driven syncytiotrophoblast senescence, trophoblast invasion impairment, inflammatory signaling, endocrine disruption, and epigenetic modifications. Clinical and policy relevance: Findings support the need for standardized biomonitoring, maternal exposure mitigation, and the integration of eco-exposome considerations into perinatal care.   ABSTRACT Objective: To systematically review emerging evidence on micro- and nanoplastic (MNP) contamination of the human placenta, explore molecular pathways underlying placental dysfunction, and evaluate associations with preterm birth and neonatal outcomes. Materials and Methods: Following PRISMA 2020 guidelines, literature searches (in PubMed, Web of Science, and Scopus) and grey sources were conducted through July 2025. Inclusion criteria comprised studies detecting MNPs in the human placenta or fetal compartments, mechanistic experiments using human placental models, or reviews addressing pregnancy outcomes. Methodological quality was assessed using AMSTAR-2, ROBIS, or the Newcastle–Ottawa Scale. Data were synthesized into three evidence domains: human biomonitoring, molecular pathways, and clinical implications. Results: Twenty studies met the inclusion criteria. MNPs were consistently detected in the human placenta, amniotic fluid, cord blood, and meconium, with higher burdens in preterm versus term placentae. Mechanistic studies demonstrated oxidative stress, ferroptosis-mediated syncytiotrophoblast senescence, impaired trophoblast invasion, inflammatory responses (IL-6, TNF-a, NLRP3 activation), endocrine disruption (altered ß-hCG and progesterone signaling), and epigenetic modifications. These pathways converge to impair nutrient and oxygen exchange and immune tolerance, increasing the risks of preterm birth, fetal growth restriction, low birth weight, and neonatal respiratory and metabolic vulnerability. Conclusion: Micro- and nanoplastic contamination of the human placenta is increasingly documented and biologically plausible as a contributor to preterm birth and neonatal morbidity. These findings support urgent investigation of exposure mitigation, standardized biomonitoring, and the integration of eco-exposome risks into perinatal clinical practice and policy.
Fetal organ detection using feature enhancement with attention and residual block Bernolian, Nuswil; Nurmaini, Siti; Sapitri, Ade Iriani; Darmawahyuni, Annisa; Rachmatullah, Muhammad Naufal; Tutuko, Bambang; Firdaus, Firdaus
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i2.pp1593-1604

Abstract

The rapid advancements in fetal ultrasonography have significantly enhanced prenatal diagnosis in recent years. Deep learning (DL) architectures have further streamlined the process of organ detection, improved diagnostic accuracy, and reduced observer dependency. This study proposes a computer-aided DL approach for fetal organ segmentation using the you only look once (YOLO) algorithm, a state-of-the-art method for object detection and image segmentation. This study identified and classified 15 fetal organs, including the umbilical vein, stomach, abdomen, brain (trans-cerebellum, trans-thalamic, and trans-ventricular regions), femur, head, thorax (chest cavity), heart (circumference, left atrium, left ventricle, right atrium, right ventricle), and aorta. We compared the performance of YOLOv7, YOLOv8, YOLOv9, and YOLOv11 architectures. The results showed that YOLOv9 outperformed YOLOv7, YOLOv8, and YOLOv11 achieving mAP50 and mAP95 scores of 91.90% and 94.50%, respectively. This performance surpasses previous studies that focused on classifying only a limited number of fetal organs.
Co-Authors A. Kurdi Syamsuri Achmad Taufan Adhi Pribadi Adrian, Ronny Afifa Ramadanti Agustria, Rizky Al Farisi Sutrisno, Muhammad Alba G.E. Bahar Aldiansyah, Dudy Aldika Akbar, Muhammad Ilham Alia Desmalia Aloysius Suryawan Amal C. Sjaaf Amir Fauzi Amir Fauzi Anang Ansyori Andanaputra, Waskita Ekamaheswara Kasumba Andonotopo, Wiku Anita Deborah Anwar Ansyori, Muhammad Hatta Ardesy Melizah Arjanggi, Kiagus Irawan Satria Bachnas, Muhammad Adrianes Bambang Rahardjo Bambang Tutuko Bangun T. Purwaka, Bangun T. Benedictus Wicaksono Widodo Chairil Anwar Cindy Kesty Citra Dewi Cut Meurah Yeni Damar Prasmusinto Darmawahyuni, Annisa Darmawan, Ernawati Dharma, Wibisana Andika Krista Djanas, Dovy Eddy Roflin Efendi Lukas Eke P Mahacakri Eric Edwin Yuliantara Evert Solomon Pangkahila Firdaus Firdaus Firmansyah Basir Firmansyah Basir Harry Kurniawan Gondo Henni Maulani Herman Kristanto I Nyoman Hariyasa Sanjaya Jhonatan, Senna Moca Johanes C. Mose Julian Dewantiningrum Juneke J. Kaeng Junita, Nuria Kesty, Cindy Kgs Irawan Satria Arjanggi Khanisyah Erza Gumilar Kurjak, Asim Kusuma, Anak Agung Ngurah Jaya M. Hatta Ansyori Made K. Karkata, Made K. Mahacakri, Eke P Maharsi, Rahma Maisuri T. Chalid, Maisuri T. Makmur Sitepu, Makmur Martadiansyah, Abarham Maulani, Henni Muhammad Irsan Saleh Muhammad Naufal Rachmatullah Mutiara Budi Azhar Muwarni Emasrissa Latifah Muzakkie, Mufida Ni Made Dyah Gayatri Nisfita, Rizania Raudhah Noroyono Wibowo Novianesari, Putri H Nugraha, Laksmana Adi Krista Nurul Islamy Nurul Islamy Nyimas Aliyah Faizatun Muthmainnah Optima Fitra Ilhami Pangemanan, Wim T Pangemanan, Wim Theodorus Peby Maulina Lestari, Peby Maulina Pramono, Mochammad Besari Adi Puspitasari, Dwi Cahya Putra, Hadrians Kesuma Putra, Ridwan Abdullah Putri H Novianesari Putri Mirani Putri Mirani Putri Mirani Putri Mirani Putri, Asri Indriyani Rima Irwinda, Rima Rizky Agustria Ronny Adrian Rose Mafiana Ryan Saktika Mulyana Sangjaya, Arif Sapitri, Ade Iriani Sentani, Ray Suga Aulia Siti Nurmaini Sjaaf, Amal C. Sjaaf, Amal C. Sri Sulistyowati Stanojevic, Milan Syamsuri, Ahmad Kurdi Syifa Alkaf Theodorus Theodorus Theodorus Theodorus Theodorus Theodorus Theodorus Theodorus Theresia Monica Rahardjo Wim T Pangemanan Wim T. Pangemanan Wim T. Pangemanan Win T. Pangemanan Wiradnyana, Anak Agung Gede Putra WISNU PRABOWO Yulianto kusnadi Yusrawati Yusrawati Yusuf Efendi