Evidence map›Paper›PMID 40352446›Full record

ArticleJournal of reproduction & infertility

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

Sunny Kumar Jignesh Kumar Patel, Birendranath Banerjee

Abstract readCase Reports
In one paragraph

Article in Journal of reproduction & infertility. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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. Karyo-typing 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.

Indexed as

AmenorrheaChromosomal anomaliesConventional cytogenetic analysisIsochromosome

Identifiers

PMID40352446
PMCPMC12060857

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