BACKGROUND: To determine the prevalence of goiter and to study the factors influencing goiter among people of the rural community in Karnataka state, a community based study. Setting and Study Design: A cross sectional study was carried out to find out the prevalence of goiter in a rural community of Belgaum district. The study was conducted by house-to-house survey for a period of one month.
MATERIALS AND METHODS: Two villages (Handiganur and Gundwad) were selected randomly from Belgaum and Raibag taluks of Belgaum district. All the family members in each household were examined for the presence of goiter using WHO criteria. Iodine content of the salt sample obtained from each household was estimated by using spot testing kits. Information regarding the determinants of goiter was collected and recorded in a pre tested proforma. Data collected was analyzed using SPSS statistical packages.
RESULTS: The prevalence of goiter among rural population was found to be 16.6%. Goiter of grade 1 was 15.7% and that of grade 2 was 0.9%. Prevalence among males and females were 7.2% and 21.8%, respectively. The prevalence of goiter was highest among adolescents. Estimation of iodine content in the salt sample revealed that 50% of samples had adequate iodine content (>/=15 ppm). Multiple Logistic Regression Analysis revealed that females of the age group 10-49 years were independently associated with goiter.
CONCLUSION: Prevalence of goiter was relatively high and therefore constituted a public health problem in this region.
KEYWORDS: Determinants; goiter; multiple logistic regression analysis; prevalence
While protein-protein interaction is the first step of the SARS-CoV-2 infection, recent comparative proteomic profiling enabled the identification of over 11,000 protein dynamics, thus providing a comprehensive reflection of the molecular mechanisms underlying the cellular system in response to viral infection. Here we summarize and rationalize the results obtained by various mass spectrometry (MS)-based proteomic approaches applied to the functional characterization of proteins and pathways associated with SARS-CoV-2-mediated infections in humans. Comparative analysis of cell-lines versus tissue samples indicates that our knowledge in proteome profile alternation in response to SARS-CoV-2 infection is still incomplete and the tissue-specific response to SARS-CoV-2 infection can probably not be recapitulated efficiently by in vitro experiments. However, regardless of the viral infection period, sample types, and experimental strategies, a thorough cross-comparison of the recently published proteome, phosphoproteome, and interactome datasets led to the identification of a common set of proteins and kinases associated with PI3K-Akt, EGFR, MAPK, Rap1, and AMPK signaling pathways. Ephrin receptor A2 (EPHA2) was identified by 11 studies including all proteomic platforms, suggesting it as a potential future target for SARS-CoV-2 infection mechanisms and the development of new therapeutic strategies. We further discuss the potentials of future proteomics strategies for identifying prognostic SARS-CoV-2 responsive age-, gender-dependent, tissue-specific protein targets.