Cytogenetic Evaluation and Clinical Correlation: A Retrospective Analysis  of East Indian Patients with Diverse Amenorrhea Profiles

Sunny Kumar  Jignesh Kumar Patel; Birendranath  Banerjee

doi:10.18502/jri.v25i4.18129

Sunny Kumar Jignesh Kumar Patel Molecular Stress and Stem Cell Biology Group, School of Biotechnology, Kalinga Institute of Industrial Technology, Od-isha, India
Birendranath Banerjee inDNA Center for Research and Innovation in Molecular Diagnostics, inDNA Life Sciences Pvt. Ltd., Odisha, India

DOI: https://doi.org/10.18502/jri.v25i4.18129

Keywords: Amenorrhea, Chromosomal anomalies, Conventional cytogenetic analysis, Isochromosome.

Abstract

Background: Amenorrhea is defined as the absence of menstruation in women at reproductive age, caused by imbalanced hormonal interactions. The genes located on X chromosome are linked to the physiology of menstruation and reproduction. Early detection of major chromosomal conditions can be facilitated through karyotyping. The purpose of the current study was to identify and establish the frequency and spectrum of chromosomal anomalies in amenorrhea patients of Eastern Indian population, and to correlate their clinical features with cytogenetic findings.

Methods: From September 2022 to September 2024, 231 women with confirmed amenorrhea were included in the study conducted at inDNA Life Sciences, India. Clinical features of women with amenorrhea were recorded and cytogenetic investigation was carried.

Results: It was revealed that 20.35% of amenorrhea cases exhibited chromosomal anomalies. Among them, 38.30% were classified as numerical anomalies, 25.53% as sex reversal, 19.15% as structural anomalies, and 17.02% as mosaic karyotypes, with X-monosomy identified as the most prevalent anomaly.

Conclusion: The findings emphasize the importance of karyotyping in diagnosis, highlighting its role in early detection and management of female infertility. Karyotyping has a resolution limit of 4-5 Mb, which disables identification of submicroscopic chromosomal abnormalities. In contrast, chromosomal microarray (CMA) analysis can examine the entire genome at higher resolutions, allowing for the identification of genetic abnormalities that may not be detected by karyotyping. While CMA was excluded from this investigation, it could serve as a valuable technique for future research aimed at identifying submicroscopic chromosomal abnormalities in cytogenetically normal women with amenorrhea.