Obesity: An Impact with Cardiovascular and Cerebrovascular Diseases.

The authors sought to correlate the complex sequel of obesity with various parameters known to develop metabolic syndrome viz. insulin resistance, dyslipidemia, hypertension etc., as these anomalies are linked to vascular atherosclerosis and outbreak of cardiovascular and cerebrovascular diseases.  A comprehensive online survey using MEDLINE, Scopus, PubMed and Google Scholar was conducted for relevant journals from 1970 till present time (2023) with key search terms like: 'obesity', 'leptin', type-2 diabetes', 'atherosclerosis', 'cardiovascular and cerebrovascular diseases'. The findings of the reports were compared and correlated. The information was then collated for developing this review. Reports showed that in human obesity, hyper-leptinemia could induce hyperglycemia, which in turn templates hypercholesterolemia. Persisting hypercholesterolemia over a period of time may en-route atherosclerosis in blood vessels. Thus obesity has been considered as a template for originating hyperglycemia, hypercholesterolemia and outbreak of vascular atherogenesis or in other words, obesity in long run can trigger atherosclerosis and its related disorders e.g. heart attack and stroke. Literature survey shows that primarily, co-morbidities of human obesity start with leptin and insulin resistance and then multiplies with metabolic irregularities to an extreme that results in pathogenesis of heart attack and stroke. Atherosclerosis associated cardiovascular and cerebrovascular events are independent risks of obese subjects and particularly in the cases of persisting obesity.

Cholesterol and Cytokines: Molecular Links to Atherosclerosis and Carcinogenesis.

An increase of cholesterol concentration within the artery obstructs arterial blood flow once it deposits alongside the arterial wall. This results in atherosclerosis. Carcinogenesis causes a quicker clearance of vascular cholesterol to meet the demands of tumour cell development. Both illnesses have an increased concentration of pro-inflammatory cytokines in the blood. To search the comparative characteristics of cholesterol and pro-inflammatory cytokines in the pathogenesis of atherosclerosis and carcinogenesis, a comprehensive online survey using MEDLINE, Scopus, PubMed, and Google Scholar was conducted for relevant journals with key search term cholesterol and cytokines in atherosclerotic and cancerous patients. According to reports, hypercholesterolaemia related dyslipidemia causes atherosclerosis in blood arteries and hypercholesterolaemia in cell nucleus is a reason for developing carcinogenesis. It is also noted that pro-inflammatory cytokines are involved in both of the aforementioned pathogenesis. Changes in anti-inflammatory cytokines are only the characteristic features of each kind. Thus, Cholesterol and pro-inflammatory cytokines are intensely interlinked in the genesis of atherosclerotic and carcinogenic consequences.

Level of non-conventional lipid parameters and its comparative analysis with TSH in subclinical hypothyroidism.

OBJECTIVES: The objective of this study is to estimate lipid parameters in subclinical hypothyroidism and correlate it with TSH. METHODS: Forty newly diagnosed cases of subclinical hypothyroidism and Forty age and gender-matched healthy controls were recruited for the study. Blood samples were collected from them and serum lipid profile (i.e. HDL, LDL, TG, serum total cholesterol) of the subjects was estimated by standard photometric methods in a fully auto-analyzer (MINDRAY BS-300) using commercially available kits and VLDL cholesterol was calculated using the Friedewald's formula. While serum Ox-LDL, Lipoprotein A, Apolipoprotein A1 and Apo B were estimated by using commercial kit based on enzyme-linked immmunosorbent assay. RESULTS: The parameters such as Oxidized low-density lipoprotein (Ox-LDL), lipoprotein (a), apolipoprotein A1, apolipoprotein B and small dense lipoprotein (sd LDL) were significantly increased in subclinical hypothyroid cases when compared with the control subjects (p<0.0001). In present study results showed significant positive correlations of serum thyroid stimulating hormone (TSH) with Ox-LDL (r=0.85, p<0.01), sd LDL (r=0.71, p<0.01). CONCLUSIONS: The present study focuses on the role of Ox-LDL, sd-LDL Lipoprotein A, Apolipoprotein A1 and Apo B that are sensitive indicators of atherogenic dyslipidemia in subclinical hypothyroidism and can serve as a better & novel risk factor for CAD.

Diagnostic measures comparison for ovarian malignancy risk in Epithelial ovarian cancer patients: a meta-analysis.

Epithelial ovarian cancer has become the most frequent cause of deaths among gynecologic malignancies. Our study elucidates the diagnostic performance of Risk of Ovarian Malignancy Algorithm (ROMA), Human epididymis secretory protein 4 (HE4) and cancer antigen (CA125). To compare the diagnostic accuracy of ROMA, HE-4 and CA125 in the early diagnosis and screening of Epithelial Ovarian Cancer. Literature search in electronic databases such as Medicine: MEDLINE (through PUBMED interface), EMBASE, Google Scholar, Science Direct and Cochrane library from January 2011 to August 2020. Studies that evaluated the diagnostic measures of ROMA, HE4 and CA125 by using Chemilumincence immunoassay or electrochemiluminescence immunoassay (CLIA or ECLIA) as index tests. Using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). We included 32 studies in our meta-analysis. We calculated AUC by SROC, pooled estimated like sensitivity, specificity, likelihood ratio, diagnostic odds ratio (DOR), Tau square, Cochran Q through random effect analysis and meta-regression. Data was retrieved from 32 studies. The number of studies included for HE4, CA125 and ROMA tests was 25, 26 and 22 respectively. The patients with EOC were taken as cases, and women with benign ovarian mass were taken as control, which was 2233/5682, 2315/5875 and 2281/5068 respectively for the markers or algorithm. The pooled estimates of the markers or algorithm were sensitivity: ROMA (postmenopausal) (0.88, 95% CI 0.86-0.89) > ROMA (premenopausal) 0.80, 95% CI 0.78-0.83 > CA-125(0.84, 95% CI 0.82-0.85) > HE4 (0.73, 95% CI 0.71-0.75) specificity: HE4 (0.90, 95% CI 0.89-0.91) > ROMA (postmenopausal) (0.83, 95% CI 0.81-0.84) > ROMA (premenopausal) (0.80, 95% CI 0.79-0.82) > CA125 (0.73, 95%CI 0.72-0.74), Diagnostic odd's ratio ROMA (postmenopausal) 44.04, 95% CI 31.27-62.03, ROMA (premenopausal)-18.93, 95% CI 13.04-27.48, CA-125-13.44, 95% CI 9.97-18.13, HE4-41.03, 95% CI 27.96-60.21 AUC(SE): ROMA (postmenopausal) 0.94(0.01), ROMA (premenopausal)-0.88(0.01), HE4 0.91(0.01), CA125-0.86(0.02) through bivariate random effects model considering the heterogeneity. Our study found ROMA as the best marker to differentiate EOC from benign ovarian masses with greater diagnostic accuracy as compared to HE4 and CA125 in postmenopausal women. In premenopausal women, HE4 is a promising predictor of Epithelial ovarian cancer; however, its utilisation requires further exploration. Our study elucidates the diagnostic performance of ROMA, HE4 and CA125 in EOC. ROMA is a promising diagnostic marker of Epithelial ovarian cancers in postmenopausal women, while HE4 is the best diagnostic predictor of EOC in the premenopausal group. Our study had only EOC patients as cases and those with benign ovarian masses as controls. Further, we considered the studies estimated using the markers by the same index test: CLIA or ECLIA. The good number of studies with strict inclusion criteria reduced bias because of the pooling of studies with different analytical methods, especially for HE4. We did not consider the studies published in foreign languages. Since a few studies were available for HE4 and CA125 in the premenopausal and postmenopausal group separately, data were inadequate for sub-group analysis. Further, we did not assess these markers' diagnostic efficiency stratified by the stage and type of tumour due to insufficient studies.