

Evaluating the Prevailing Determinants of Female Infertility in Relation To Blood Group, Genotype, Rhesus Factor and Hormonal Profile in Some Selected Hospitals in Abia State, Nigeria
Abstract
Female infertility is well-known health problem globally in obstetrics and gynaecology. This work is aim at evaluating the prevailing determinants of female infertility in some selected hospitals in Umuahia, Abia State; The aim of this study is to evaluate the relationship between blood group, genotypes, rhesus factor; and reproductive hormones; age and hormonal imbalance at basal level. Structured self-administered questionnaires were distributed to 190 infertile women from the two fertility clinics in Umuahia to obtain their physiological parameters. (10ml) was collected from each of the participant, 5ml each was placed in plain and heparinized bottles respectively, whole blood was used to determine the heamatological parameters such as blood group, Rhesus factor and genotype while samples in heparinised bottles were centrifuged at 2000rpm for 15 minutes and used for hormonal assay. The results obtained were statistically computed using GRAPHPAD PRISM 6.0. All data were presented as mean ± standard error of mean (SEM) and were analysed using the Analysis of variance (ANOVA). Multiple comparisons were done using Turkey method. Differences were declared statistically significant at p < 0.05. Participants which blood group A. Showed higher level of prolactin (PRL) compared to other blood groups whereas the levels of follicle stimulating hormone, luteinising hormone were higher in blood group O compared to other group. Participants of the oldest age group (51-55year) had elevated levels of reproductive hormones compared to other age groups. Participants with heterozygous genotype AS had higher basal level of prolactin (PRL) and luteinising hormone (LH) while participants with homozygous genotype AA showed a high basal level ofFSH. Therefore, this study established relationship between age and female infertility while suggesting that age affect fertility via imbalance in basal level of reproduction hormones. It also showed no association between blood group, genotype, rhesus factor to female infertility.
References
Abha M, Mark H, Siladitya B. (2008) Effect of Female Age on the Diagnostic Categories of Infertility. Human Reproduction 2008;23:538-542.
Adewunmi A, OttunT, AbiaraT, Chukwuma J, Okorie L. (2017) Socio-demographic and Clinical Characteristics of Clients Seeking Assisted Conception at Lagos State University Teaching Hospital, Ikeja, Nigeria, Journal of Obstetrics and Gynaecology.2017;12:11-16
Aiken C, Tarry- Adkins J, OzanneS. (2015) Transgenerational developmental programming of ovarian reserve. Scientific Reports. 2015; 5, 161-175.
Brugo-Olmedo S., Chllik C, KopelmanS. (2001) Definition and Causes of Infertility. Reproductive BioMedicineOnline.2001; 2:41–53.
Butler L, Santoro N. (2011).The reproductive endocrinology of the menopausal transition.Steroids2011; 76:627–635.
Choy C, Lam C, Cheung L, Briton-Jones C, Cheung L, Haines C. (2002) Infertility, Blood Mercury Concentrations and Dietary Seafood Consumption: A Case–Control. British Journal of Obstetrics and Gynaecology.2002;109, 1125–1211.
Corona G, Mannucci E, Jannini E, Lotti F, Ricca V, Monami M, Boddi V, Bandini E, Balercia G, Forti G, Maggi M. Hypoprolactinemia (2009): A New Clinical Syndrome in Patients with Sexual Dysfunction. The Journal of Sexual Medicine. 2009;6:1457–66.
Farah, K.A. and Zena, A.M.(2019). The impact of obesity an infertile women with polycystic ovaries in Iraq. Rafidian Journal of Science 34, 39-49.
Gupta S., Sharma R., Eliwa J, Agarwal A. (2015) Predictive Roles of Proteomic Profiles in Assisted Reproduction- An update. Proteomics and BioinformaticsS82015;5:1-13.
Gynaecologic and Neonatal Nursing.2010; 39:84–102
Hire, M.D., Bhale, D.V., Mahat, R.K. and Bujurge, A.A.(2014) study of serum TSH and Prolactin levels in patients of female infertility.
Homan G, Daves M, Norman R. (2007) The Impact of Life Style Factors in Reproductive Performance in the General Population and those Undergoing Infertility Treatment: A Review. Human ReproductionUpdate.2007;13:209-223.
Ilgaz S, Aydos O, Karadag A, Taspinar M, Eryilmaz O, Sunguroglu A. (2015) Impact of Follicle- Stimulating Hormone Receptor Variants in Female Infertility. Journal of Assisted Reproduction and Genetics.2015; 32:1659– 1668.
.
Jacobson-Dickma E, Lee M. (2009). The Influence of Endocrine Disruptors on Pubertal Timing. Current Opinion Endocrinology, Diabetes and Obesity.2009;16:25-30.
Kamel H, Mooradian A, Mir T. (2000) Biological Theories of Aging. In J.E. Morley and L.van den Berg (Eds.), (2000) Endocrinology of aging. 2000, pp. 1-9. Totowa, N.J: Humana Press.
Kumar P, Sait S. (2011) Luteinizing Hormone and its Dilemma in Ovulation Induction. Journal of Human Reproductive Sciences.
Nejat E, Jindal S, Berger D, Buyuk E, Lalioti M, Pal L. (2011) Implications of Blood Type for Ovarian Reserve. Human Reproduction; 2011; 26:2513- 2517.
Simpson J. (2014) Genetics of female infertility due to anomalies of the ovary and mullerianducts. Methods in Molecular Biology 2014; 1154:39–73.
Spitzer D, Corn C, Stadler O, Wirleitner M, Schuff M, Vanderzwalmen P, Grabher F, Zech, N. Geburtshilfe Frauenheilkd. (2014); 74:928-932.
Ursula B, Kaiser M. (2012) Hyperprolactinemia and Infertility: NewInsights. J .ClinInvest; 2012;122: 3467-4468.
Valdes-Socin H, Daly A, Beckers A. (2017) Luteinizing Hormone Deficiency: Historical Views and Future Perspectives. Austin Andrology. 2017; 2: 1015-1018.
Valderhaug, T.G., Herbal, J.K., Nordstrand, N., Dale, P.O., Hofso, D and Hjelmesaeth, S. (2015). The association between Hyperandrogenemia and the metabolic syndrome in morbidly obese women.
Van Loendersloot L, van Wely M, Limpens J, Bossuyt P, Repping S, Van Der Veen F. (2010) Predictive Factorsin In-Vitro Fertilization (IVF): A Systematic Review and Meta-Analysis. Human Reproduction Update; 2010; 16:577-589.
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