Breast cancer (BC) is the leading cause of cancer related death among women in 2014. The AURKA gene that encodes the protein called Aurora kinase A plays an important role in the progression of the cell cycle, by controlling and promoting the entry into the phase of mitosis. The single nucleotide polymorphism AURKA T91A (rs2273535) (Phe21Ile) has been identified as functional alternator of this kinase, the Ile allele is associated with the occurrence of chromosome segregation errors and tumor progression. Therefore, it is essential to know how BC risk is associated with histopathological characteristics, immunohistochemical characteristics, and genotype polymorphism in a high altitude Ecuadorian mestizo population. In this retrospective case-control study 200 individuals were analyzed. DNA was extracted from 100 healthy and 100 affected women. Genotypes were determined by genomic sequencing. We found significant association between the AURKA T91A (rs2273535) (Phe21Ile) genotype and an increased risk of BC development: Phe/Ile (odds ratio [OR] = 2.6; 95% confidence interval [CI] = 1.4-4.9; P = 0.004), Ile/Ile (OR = 3.8; 95% CI = 1.6-9.0; P = 0.002), and Phe/Ile + Ile/Ile (OR = 2.9; 95% CI = 1.6-5.2; P = 0.001). Additionally, the rs2273535 variant was associated with the tumor grade SBR III (OR = 9.6; 95% CI = 1.0-91.9; P = 0.048) and the Ki-67 ≥ 20 (OR = 16.5; 95% CI = 2.7-101.3; P = 0.002). In brief, this study provides the first evidence where the Ile allele of the AURKA gene could act as potentially predictive biomarker of BC in the high altitude Ecuadorian mestizo population that lives at 2800 m above sea level (masl).
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Med J Armed Forces India
December 2024
Clinical Tutor, Department of Internal Medicine, Armed Forces Medical College, C/o 56 APO, India.
High altitude pulmonary oedema (HAPO) is a common emergency seen at high altitude. It can be associated with electrocardiogram (ECG) changes due to pulmonary arterial hypertension in the form of ST elevation and T wave inversion in the right precordial leads, which mimic acute coronary syndrome. These changes can lead to confusion in diagnosis and management.
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December 2024
Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 76100, Israel. Electronic address:
Adaptation to environmental conditions occurs over diverse evolutionary timescales. In multi-cellular organisms, adaptive traits are often studied in tissues/organs relevant to the environmental challenge. We argue for the importance of an underappreciated layer of evolutionary adaptation manifesting at the cellular level.
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January 2025
Center of High Altitude Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Furan (C₄H₄O), an unintended hazardous compound, is formed in various thermally processed foods through multiple pathways, raising concerns due to its potential carcinogenicity in humans. The aim of this comprehensive review was to synthesize and evaluate the latest research on furan, from its formation by different precursors to its presence in diverse food matrices, as well as the emerging methods for its detection and mitigation. Emphasizing the toxicity of furan, it explored evidence from in vitro and in vivo studies, including reproductive toxicity, carcinogenic effects, and related biomarkers.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Intensive Care Unit, The 940 Hospital of Joint Logistics Support Force of Chinese PLA, Lanzhou, China.
High-altitude pulmonary edema (HAPE) is a life-threatening altitude sickness afflicting certain individuals after rapid ascent to high altitude above 2500 m. In the setting of HAPE, an early diagnosis is critical and currently based on clinical evaluation. The aim of this study was to utilize the metabolomics to identify the altered metabolic patterns and potential biomarkers for HAPE.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Computer Science, College of Computer and Information Sciences, King Saud University, 11543, Riyadh, Saudi Arabia.
The traditional optimization approaches suffer from certain problems like getting stuck in local optima, low speed, susceptibility to local optima, and searching unknown search spaces, thus requiring reliance on single-based solutions. Herein, an Improved Aquila Optimizer (IAO) is proposed, which is a unique meta-heuristic optimization method motivated by the hunting behavior of Aquila. An improved version of Aquila optimizer seeks to increase effectiveness and productivity.
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