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Attia GM, Alharbi OA, Aljohani RM. The Impact of Irregular Menstruation on Health: A Review of the Literature. Cureus 2023; 15:e49146. [PMID: 38130524 PMCID: PMC10733621 DOI: 10.7759/cureus.49146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/20/2023] [Indexed: 12/23/2023] Open
Abstract
Women are considered to have an irregular menstrual cycle if their cycle length is less than 21 days or more than 35 days, accompanied by less or very severe blood flow. The prevalence of menstrual cycle irregularities varies across countries. Irregular periods can occur due to changes in the body's levels of estrogen and progesterone hormones, which disrupt the normal pattern of the period. Menstrual irregularity has been found to be associated with various diseases and medical conditions, such as metabolic syndrome, coronary heart disease, type 2 diabetes mellitus, and rheumatoid arthritis. Anemia, osteoporosis, psychological problems, impaired quality of life, and infertility have also been recorded. Moreover, a significant correlation between irregular periods and the risk of developing pregnancy-related hypertensive disorders, as well as an increased risk of adverse obstetric and neonatal outcomes, has been proven. Therefore, irregular menstruation is considered an important health indicator among women. Physical, mental, social, psychological, and reproductive problems are often associated with menstrual irregularities. Thus, evaluating the factors associated with irregular menstruation is necessary to determine appropriate preventive and treatment strategies and to decrease the associated health problems. The aim of this review was to define normal and irregular menstruation, their types, and prevalence, to recognize the risk factors and causes of irregular menstruation, and to understand their impact on women's health.
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Affiliation(s)
- Ghalia M Attia
- Medical Histology and Cell Biology, Mansoura University, Mansoura, EGY
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Dhar S, Mondal KK, Bhattacharjee P. Influence of lifestyle factors with the outcome of menstrual disorders among adolescents and young women in West Bengal, India. Sci Rep 2023; 13:12476. [PMID: 37528155 PMCID: PMC10393940 DOI: 10.1038/s41598-023-35858-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 05/24/2023] [Indexed: 08/03/2023] Open
Abstract
Menstruation is a natural phenomenon for every female, starting from adolescents to menopausal age. Any disturbances in menstrual patterns can eventually affect one's physical as well as psychological health which in turn hamper the quality of life of women. Several factors including genetic predisposition as well as lifestyle modifications adversely affect normal menstrual patterns. Hence, this study aims to evaluate the prevalence of menstrual disorders among adolescents and young women as well as the associated risk factors. A cross-sectional random survey was conducted from January 2020 to January 2022 in various schools and colleges. A structured questionnaire was prepared which include anthropometric details, demographic information, and lifestyle patterns. The data were extracted for further statistical analysis. In the overall study population, the prevalence of PCOS, Dysmenorrhea, Menorrhagia, Polymenorrhea, Hypomenorrhea and the irregular menstrual cycle was found at 14.14%, 15.14%, 6.29%, 3.70%, 5.16% and 44.83% respectively. The mean BMI of the study population was 19.949 ± 4.801 kg/m2 and the mean WHr was 0.872 ± 0.101, indicating a moderate to high risk of metabolic disorder among the study population. Increased BMI, short sleep, and sedentary and vigorous physical activity can contribute to the risk of developing menstrual disorders. Unhealthy food habits are a major risk factor for menstrual disorders. Lifestyle modifications like healthy food habits, sleeping patterns, physical activity, etc. can effectively reduce the risk of menstrual disorders and also cut down the severity of more complex health problems. In-depth biochemical and molecular analysis is required to identify specific biomarkers.
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Affiliation(s)
- Shrinjana Dhar
- Environmental Epigenomics Laboratory, Department of Environmental Science, University of Calcutta, 37, Ballygunge Circular Road, Kolkata, West Bengal, 700019, India
| | - Kousik Kr Mondal
- Environmental Epigenomics Laboratory, Department of Environmental Science, University of Calcutta, 37, Ballygunge Circular Road, Kolkata, West Bengal, 700019, India
- Department of Zoology, Mugberia Gangadhar Mahavidyalaya, Vidyasagar University, Bhupati Nagar, Purba Medinipur, West Bengal, 721425, India
| | - Pritha Bhattacharjee
- Environmental Epigenomics Laboratory, Department of Environmental Science, University of Calcutta, 37, Ballygunge Circular Road, Kolkata, West Bengal, 700019, India.
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Behairy MY, Soltan MA, Adam MS, Refaat AM, Ezz EM, Albogami S, Fayad E, Althobaiti F, Gouda AM, Sileem AE, Elfaky MA, Darwish KM, Alaa Eldeen M. Computational Analysis of Deleterious SNPs in NRAS to Assess Their Potential Correlation With Carcinogenesis. Front Genet 2022; 13:872845. [PMID: 36051694 PMCID: PMC9424727 DOI: 10.3389/fgene.2022.872845] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 06/03/2022] [Indexed: 12/12/2022] Open
Abstract
The NRAS gene is a well-known oncogene that acts as a major player in carcinogenesis. Mutations in the NRAS gene have been linked to multiple types of human tumors. Therefore, the identification of the most deleterious single nucleotide polymorphisms (SNPs) in the NRAS gene is necessary to understand the key factors of tumor pathogenesis and therapy. We aimed to retrieve NRAS missense SNPs and analyze them comprehensively using sequence and structure approaches to determine the most deleterious SNPs that could increase the risk of carcinogenesis. We also adopted structural biology methods and docking tools to investigate the behavior of the filtered SNPs. After retrieving missense SNPs and analyzing them using six in silico tools, 17 mutations were found to be the most deleterious mutations in NRAS. All SNPs except S145L were found to decrease NRAS stability, and all SNPs were found on highly conserved residues and important functional domains, except R164C. In addition, all mutations except G60E and S145L showed a higher binding affinity to GTP, implicating an increase in malignancy tendency. As a consequence, all other 14 mutations were expected to increase the risk of carcinogenesis, with 5 mutations (G13R, G13C, G13V, P34R, and V152F) expected to have the highest risk. Thermodynamic stability was ensured for these SNP models through molecular dynamics simulation based on trajectory analysis. Free binding affinity toward the natural substrate, GTP, was higher for these models as compared to the native NRAS protein. The Gly13 SNP proteins depict a differential conformational state that could favor nucleotide exchange and catalytic potentiality. A further application of experimental methods with all these 14 mutations could reveal new insights into the pathogenesis and management of different types of tumors.
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Affiliation(s)
- Mohammed Y. Behairy
- Department of Microbiology and Immunology, Faculty of Pharmacy, University of Sadat City, Sadat City, Egypt
| | - Mohamed A. Soltan
- Department of Microbiology and Immunology, Faculty of Pharmacy, Sinai University, Ismailia, Egypt
- *Correspondence: Mohamed A. Soltan, ; Muhammad Alaa Eldeen,
| | - Mohamed S. Adam
- Department of Pharmacology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt
| | - Ahmed M. Refaat
- Zoology Departmen, Faculty of Science, Minia University, El-Minia, Egypt
| | - Ehab M. Ezz
- Department of Pharmacology, Faculty of Medicine, University of Khartoum, Khartoum, Sudan
| | - Sarah Albogami
- Department of Biotechnology, College of Sciences, Taif University, Taif, Saudi Arabia
| | - Eman Fayad
- Department of Biotechnology, College of Sciences, Taif University, Taif, Saudi Arabia
| | - Fayez Althobaiti
- Department of Biotechnology, College of Sciences, Taif University, Taif, Saudi Arabia
| | - Ahmed M. Gouda
- Department of Pharmacy Practice, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt
| | - Ashraf E. Sileem
- Department of Chest Diseases, Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Mahmoud A. Elfaky
- Department of Natural Products, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia
- Centre for Artificial Intelligence in Precision Medicines, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Khaled M. Darwish
- Department of Medicinal Chemistry, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt
| | - Muhammad Alaa Eldeen
- Cell Biology, Histology and Genetics Division, Zoology Department, Faculty of Science, Zagazig University, Zagazig, Egypt
- *Correspondence: Mohamed A. Soltan, ; Muhammad Alaa Eldeen,
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