Citation Information :
Anupama, Pandey U, Singh K, Patel DS. Case-control Association Study of TLR4 (rs 1927914) Polymorphism with the Risk of Low Birth Weight and Fetal Growth Restriction in North Indian Women. J South Asian Feder Obs Gynae 2022; 14 (4):410-414.
Background: Compared to newborns of normal birth weight at term gestation, the mortality and morbidity rates for low birth weight (LBW) and fetal growth restriction (FGR) babies are absurdly high. This is because these babies are more vulnerable to infections. Aims and objectives: To study the association of toll-like receptor (TLR) 4 gene T>C (rs 1927914) polymorphism with the risk of LBW and FGR at term gestation in north Indian women. Materials and methods: One hundred and eighty-two pregnant women (50 LBW and 32 FGR cases and 100 controls), 18–45 years of age, who attended the antenatal clinic or labor room were studied. We studied different maternal factors like maternal height, body mass index, number of antenatal visits, pre-pregnancy weight, and weight gain during pregnancy. In newborns, parameters like birth weight, gender, Apgar score after 1 and 5 minutes, NICU admission, and different anthropometric data were assessed. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was studied to analyze the single-nucleotide polymorphism of TLR4 (rs1927914) T>C. Results: There was no significant association between TLR4 (rs 1927914) T>C polymorphism and risk of LBW and FGR. Genotype, TC, and CC of TLR4 T>C polymorphism showed a slight increase in the risk of LBW (p = 0.38). Conclusions: The present study suggests that several inter-related factors increase the risk of LBW and FGR. The complex interplay and co-existence of many maternal and fetal factors are the leading cause of the increased risk of LBW and intrauterine growth restriction. Early prediction, identification of these risk factors, and proper management may prevent infant morbidities.
Botos I, Segal DM, Davies DR. The structural biology of toll-like receptors. Structure 2011;19(4):447–459. DOI:10.1016/j.str.2011.02.004.
Koga K, Mor G. Toll-like receptors at the maternal-fetal interface in normal pregnancy and pregnancy disorders. Am J Reprod Immunol 2010;63(6):587–600. DOI: 10.1111/j.1600-0897.2010.00848.x.
Pudney J, He X, Masheeb Z, et al. Differential expression of toll-like receptors in the human placenta across early gestation. Placenta 2016;46:1–10. DOI: 10.1016/j.placenta.2016.07.005.
Young OM, Tang Z, Niven-Fairchild T, et al. Toll-like receptor-mediated responses by placental Hofbauer cells (HBCs): a potential proinflammatory role for fetal M2 macrophages. Am J Reprod Immunol 2015;73(1):22–35. DOI: 10.1111/aji.12336.
Hoang M, Potter JA, Gysler SM, et al. Human fetal membranes generate distinct cytokine profiles in response to bacterial toll-like receptor and nod like receptor agonists. Biol Reprod 2014;90(2):39. DOI: 10.1095/biolreprod.113.115428.
Abrahams VM, Potter JA, Bhat G, et al. Bacterial modulation of human fetal membrane Toll-like receptor expression. Am J Reprod Immunol 2013;69(1):33–40. DOI: 10.1111/aji.12016.
Lee CC, Avalos AM, Ploegh HL. Accessory molecules for Toll-like receptors and their function. Nat Rev Immunol 2012;12(3):168–179. DOI: 10.1038/nri3151.
Sharma D, Shastri S, Farahbakhsh N, et al. Intrauterine growth restriction – part 1. J Matern Fetal Neonatal Med 2016;29(24):3977–3987. DOI: 10.3109/14767058.2016.1152249.
National Neonatolog Forum. Available at: http://www.savethechildren.org/publications/india_pdf/SOIN_Document.pdf. (Accessed June 3, 2014).
Singh VV, Chauhan SK, Rai R, et al. Decreased pattern recognition receptor signaling, interferon signature, and bactericidal/permeability-increasing protein gene expression in cord blood of term low birth weight human newborns. PLoS One 2013;8(4):e62845. DOI: 10.1371/journal.pone.0062845.
Ouzounian JG, Elkayam U. Physiologic changes during normal pregnancy and delivery. Cardiol Clin 2012;30(3):317–329. DOI: 10.1016/j.ccl.2012.05.004.
Borah M, Agarwalla R. Maternal and socio-demographic determinants of low birth weight (LBW): A community-based study in a rural block of Assam. J Postgrad Med. 2016;62(3):178–81. DOI: 10.4103/0022-3859.184275.
Taywade ML, Pisudde PM. Study of socio-demographic determinants of low birth weight in Wardha district, India. Clin Epidemiol Global Health 2017;1:5(1):14–20. DOI: 10.1016/j.cegh.2016.07.001.
Jawarkar AK, Lokare PO, Dore S. Study of socio-demographic and maternal determinants influencing birth-weight. J MGIMS 2012;17(ii):28–33.
Ravikumar K, Rajeshkannan B. A descriptive study of maternal ris fators in term babies with IUGR. IOSR J Dental Med Sci 2016;15(12):48–51. DOI: 10.9790/0853-15120104851.
Amosu AM, Degun AM, Ter Goon D. Maternal socio-demographic characteristics as correlates of newborn birth weight in urban Abeokuta, Nigeria. Biomed Res 2014;25(4):612–616.
Fosu MO, Abdul-Rahaman I, Yekeen R. Maternal risk factors for low birth weight in a district hospital in Ashanti Region of Ghana. Res Obstet Gynecol 2013;2(4):48–54. DOI: 10.5923/j.rog.20130204.02.
Bugssa G, Dimtsu B, Alemayehu M. Socio demographic and maternal determinants of low birth weight at Mekelle Hospital, Northern Ethiopia: a cross-sectional study. Am J Adv Drug Deliv 2014;2(5):609–618.
Kader M, Perera NKPP. Socioeconomic and nutritional determinants of low birth weight in India. N Am J Med Sci 2014;6(7):302–308. DOI: 10.4103/1947-2714.136902.
Sakowicz A, Lisowska M, Biesiada L, et al. Association of maternal and fetal single-nucleotide polymorphisms in metalloproteinase (MMPI, MMP2. MMP3, and MMP9) genes with preeclampsia. Dis Markers 2018:1371425. DOI: 10.1155/2018/1371425.