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1.
Preprint in English | medRxiv | ID: ppmedrxiv-22274514

ABSTRACT

This study aims to investigate the health-related quality of life and coping strategies among COVID-19 survivors in Bangladesh. MethodsThis is a cross-sectional study of 2198 adult, COVID-19 survivors living in Bangladesh. Data were collected from previously diagnosed COVID-19 participants (confirmed by an RT-PCR test) via door-to-door interviews in the eight different divisions in Bangladesh. For data collection, Bengali translated Brief COPE inventory and WHO Brief Quality of Life (WHO-QOLBREF) questionnaires were used. The data collection period was from June 2020 to March 2021. ResultsMales 72.38% (1591) were more affected by COVID-19 than females 27.62% (607). Age showed significant correlations (p<0.005) with physical, psychological and social relationships; whereas, gender showed only significant correlation with physical health (p<0.001). Marital status, occupation, living area, and co-morbidities showed significant co-relation with all four domains of QoL (p<0.001). Education and affected family members showed significant correlation with physical and social relationship (p<0.001). However, smoking habit showed significant correlations with both social relationship and environment (p<0.001). Age and marital status showed a significant correlation with avoidant coping strategy (p<0.001); whereas gender and co-morbidities showed significant correlation with problem focused coping strategies (p<0.001). Educational qualification, occupation and living area showed significant correlation with all three coping strategies (p<0.001). ConclusionSurvivors of COVID-19 showed mixed types of coping strategies; however, the predominant coping strategy was avoidant coping, followed by problem focused coping, with emotion focused coping reported as the least prevalent. Marital status, occupation, living area and co-morbidities showed a greater effect on QoL in all participants. This study represents the real scenario of nationwide health associated quality of life and coping strategy during and beyond the Delta pandemic.

2.
Stem Cells ; 34(5): 1163-76, 2016 05.
Article in English | MEDLINE | ID: mdl-27146024

ABSTRACT

In solid tumors, cancer stem cells (CSCs) can arise independently of epithelial-mesenchymal transition (EMT). In spite of recent efforts, the metabolic reprogramming associated with CSC phenotypes uncoupled from EMT is poorly understood. Here, by using metabolomic and fluxomic approaches, we identify major metabolic profiles that differentiate metastatic prostate epithelial CSCs (e-CSCs) from non-CSCs expressing a stable EMT. We have found that the e-CSC program in our cellular model is characterized by a high plasticity in energy substrate metabolism, including an enhanced Warburg effect, a greater carbon and energy source flexibility driven by fatty acids and amino acid metabolism and an essential reliance on the proton buffering capacity conferred by glutamine metabolism. An analysis of transcriptomic data yielded a metabolic gene signature for our e-CSCs consistent with the metabolomics and fluxomics analyses that correlated with tumor progression and metastasis in prostate cancer and in 11 additional cancer types. Interestingly, an integrated metabolomics, fluxomics, and transcriptomics analysis allowed us to identify key metabolic players regulated at the post-transcriptional level, suggesting potential biomarkers and therapeutic targets to effectively forestall metastasis. Stem Cells 2016;34:1163-1176.


Subject(s)
Epithelial Cells/metabolism , Epithelial Cells/pathology , Epithelial-Mesenchymal Transition , Metabolomics , Neoplastic Stem Cells/metabolism , Neoplastic Stem Cells/pathology , Amino Acids/metabolism , Cell Line, Tumor , Cell Proliferation/drug effects , Cell Proliferation/genetics , Citric Acid Cycle/drug effects , Citric Acid Cycle/genetics , Disease Progression , Epithelial Cells/drug effects , Epithelial-Mesenchymal Transition/drug effects , Epithelial-Mesenchymal Transition/genetics , Fatty Acids/biosynthesis , Gene Expression Profiling , Genes, Neoplasm , Glucose/metabolism , Glycolysis/drug effects , Glycolysis/genetics , Humans , Hydrogen-Ion Concentration , Mesoderm/pathology , Mitochondria/drug effects , Mitochondria/metabolism , NADP/metabolism , Neoplastic Stem Cells/drug effects , Oxidative Stress/drug effects , Pyruvate Dehydrogenase Complex/metabolism , Spheroids, Cellular/drug effects , Spheroids, Cellular/metabolism , Spheroids, Cellular/pathology , Transcription, Genetic/drug effects
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