ABSTRACT
BACKGROUND: Sea cucumber is a natural resource rich in many important pharmacological compounds. this study aimed to investigate the effect of H. leucospilota extract on the induction of cell death and and Proapoptotic Activities. METHODS AND RESULTS: H. leucospilota was collected, the methanolic extract was prepared and in vitro cytotoxicity of H. leucospilota extract in the range of 12.5, 25, 50, 100, and 200 µg/mL concentrations for 48 hours on SK-BR-3 and MCR5 cells was determined. Analysis of apoptosis and cell cycle stages were performed using flow cytometry. the expressions of several apoptotic-related proteins in SK-BR-3 cells were evaluated using Western blot analysis. ROS formation and caspase activity were determined. GC-MS (involving a multistep temperature gradient and trimethylsilyl derivatives) and phytochemical analysis were used for identification of bioactive compounds. Methanolic extract inhibited the proliferation of the SK-BR-3 cell line in a dose- and time-dependent manner. As it was observed, exposure of the H. leucospilota extract triggered the apoptosis of the SK-BR-3 cells, induced DNA fragmentation, and arrested the cells in G2/M phase. treatment of the methanolic extract induced the downregulation of antiapoptotic Bcl-2 protein as well as the upregulation of Bax, caspase-3, caspase-7 proteins in SK-BR-3 cells. Methanolic extract-elicited apoptosis was accompanied with the elevated level of ROS. The GC-MS and phytochemical analysis revealed 30 compounds and the extract contained alkaloids, flavonoids, steroids, terpenoids, phenols, and saponins. CONCLUSIONS: The antiproliferative and proapoptotic activities of the tested extract suggested the pharmacologic potential of H. leucospilota. Correspondingly, further characterizations of the identified compounds are in progress.
Subject(s)
Breast Neoplasms/drug therapy , Sea Cucumbers/metabolism , Tissue Extracts/pharmacology , Animals , Apoptosis/drug effects , Breast Neoplasms/metabolism , Caspase 3 , Cell Line, Tumor , Cell Proliferation/drug effects , Cell Survival/drug effects , Female , Flavonoids/pharmacology , Humans , MCF-7 Cells , Proto-Oncogene Proteins c-bcl-2 , Saponins/pharmacologyABSTRACT
BACKGROUND: Obesity can increase the risk of diabetes mellitus and complications associated with it. OBJECTIVES: The aim of this study was to estimate the associations between new and old anthropometric indices and the risk of type 2 diabetes mellitus (T2DM) and its metabolic complications. METHODS: In this cross-sectional analytical study, 110 T2DM subjects and 110 healthy controls were selected by convenience sampling. Metabolic factors were evaluated including the atherogenic index of plasma (AIP), glycemic status, lipid profile, blood pressure, kidney indices, new anthropometric indices (abdominal volume index [AVI], body shape index [ABSI], lipid accumulation product [LAP], body adiposity index [BAI], and conicity index [CI]), and old anthropometric indices (weight, body mass index [BMI], and waist and hip circumference [WC and HC]). RESULTS: Significant positive correlations were observed between AVI, LAP, and BAI and fasting blood glucose and HbA1c in the T2DM group (p < 0.001 for all associations). The odds ratio (OR) for T2DM elevated significantly with increasing BMI (OR: 1.30, 95% CI: 1.20-1.42), LAP (OR: 1.20, 95% CI: 1.13-1.27), and BAI (OR: 1.32, 95% CI: 1.21-1.43). The indices AVI (OR: 1.90, 95% CI: 1.57-2.29), LAP (OR: 1.19, 95% CI: 1.13-1.27), BAI (OR: 1.19, 95% CI: 1.12-1.26), WC (OR: 1.29, 95% CI: 1.18, 1.42), and HC (OR: 1.07, 95% CI: 1.01, 1.14) significantly increased the risk of metabolic syndrome (MetS). CONCLUSIONS: Associations were identified between obesity indices and diabetes. These indices could be used in clinical practice for evaluation and control of T2DM.
CONTEXTO: A obesidade pode aumentar o risco de diabetes melito e complicações associadas. OBJETIVOS: O objetivo deste estudo foi estimar a associação de índices antropométricos novos e antigos com o risco de diabetes melito tipo 2 (DM2) e suas complicações metabólicas. MÉTODOS: Neste estudo analítico transversal, 110 indivíduos com DM2 e 110 controles saudáveis foram selecionados por amostragem de conveniência. Foram avaliados os fatores metabólicos, incluindo índice aterogênico plasmático, estado glicêmico, perfil lipídico, pressão arterial, índices renais, índices antropométricos novos [índice de volume abdominal (AVI), índice de formato corporal (ABSI), produto de acumulação lipídica (LAP), índice de adiposidade corporal (BAI) e índice de conicidade (CI)] e índices antropométricos antigos [peso, índice de massa corporal (IMC), circunferência de cintura e quadril]. RESULTADOS: Foi observada uma correlação positiva significativa de AVI, LAP e BAI com glicemia de jejum e hemoglobina glicada no grupo DM2 (p para todos < 0,001). A odds ratio (OR) do grupo DM2 foi significativamente elevada com aumento de IMC [OR: 1,30, intervalo de confiança (IC) de 95%: 1,20-1,42], LAP (OR: 1,20, IC95%: 1,13-1,27) e BAI (OR: 1,32, IC95%: 1,21-1,43). Os índices AVI (OR: 1,90, IC95%: 1,57-2,29), LAP (OR: 1,19, IC95%: 1,13-1,27), BAI (OR: 1,19, IC95%: 1,12-1,26), WC (OR: 1,29, IC95%: 1,18-1,42) e HC (OR: 1,07, IC95%: 1,01-1,14) aumentaram significativamente o risco de síndrome metabólica. CONCLUSÕES: Foi reconhecida uma associação entre índices de obesidade e diabetes. Esses índices podem ser usados na prática clínica para avaliação e controle do DM2.
ABSTRACT
Abstract Background Obesity can increase the risk of diabetes mellitus and complications associated with it. Objectives The aim of this study was to estimate the associations between new and old anthropometric indices and the risk of type 2 diabetes mellitus (T2DM) and its metabolic complications. Methods In this cross-sectional analytical study, 110 T2DM subjects and 110 healthy controls were selected by convenience sampling. Metabolic factors were evaluated including the atherogenic index of plasma (AIP), glycemic status, lipid profile, blood pressure, kidney indices, new anthropometric indices (abdominal volume index [AVI], body shape index [ABSI], lipid accumulation product [LAP], body adiposity index [BAI], and conicity index [CI]), and old anthropometric indices (weight, body mass index [BMI], and waist and hip circumference [WC and HC]). Results Significant positive correlations were observed between AVI, LAP, and BAI and fasting blood glucose and HbA1c in the T2DM group (p < 0.001 for all associations). The odds ratio (OR) for T2DM elevated significantly with increasing BMI (OR: 1.30, 95% CI: 1.20-1.42), LAP (OR: 1.20, 95% CI: 1.13-1.27), and BAI (OR: 1.32, 95% CI: 1.21-1.43). The indices AVI (OR: 1.90, 95% CI: 1.57-2.29), LAP (OR: 1.19, 95% CI: 1.13-1.27), BAI (OR: 1.19, 95% CI: 1.12-1.26), WC (OR: 1.29, 95% CI: 1.18, 1.42), and HC (OR: 1.07, 95% CI: 1.01, 1.14) significantly increased the risk of metabolic syndrome (MetS). Conclusions Associations were identified between obesity indices and diabetes. These indices could be used in clinical practice for evaluation and control of T2DM.
Resumo Contexto A obesidade pode aumentar o risco de diabetes melito e complicações associadas. Objetivos O objetivo deste estudo foi estimar a associação de índices antropométricos novos e antigos com o risco de diabetes melito tipo 2 (DM2) e suas complicações metabólicas. Métodos Neste estudo analítico transversal, 110 indivíduos com DM2 e 110 controles saudáveis foram selecionados por amostragem de conveniência. Foram avaliados os fatores metabólicos, incluindo índice aterogênico plasmático, estado glicêmico, perfil lipídico, pressão arterial, índices renais, índices antropométricos novos [índice de volume abdominal (AVI), índice de formato corporal (ABSI), produto de acumulação lipídica (LAP), índice de adiposidade corporal (BAI) e índice de conicidade (CI)] e índices antropométricos antigos [peso, índice de massa corporal (IMC), circunferência de cintura e quadril]. Resultados Foi observada uma correlação positiva significativa de AVI, LAP e BAI com glicemia de jejum e hemoglobina glicada no grupo DM2 (p para todos < 0,001). A odds ratio (OR) do grupo DM2 foi significativamente elevada com aumento de IMC [OR: 1,30, intervalo de confiança (IC) de 95%: 1,20-1,42], LAP (OR: 1,20, IC95%: 1,13-1,27) e BAI (OR: 1,32, IC95%: 1,21-1,43). Os índices AVI (OR: 1,90, IC95%: 1,57-2,29), LAP (OR: 1,19, IC95%: 1,13-1,27), BAI (OR: 1,19, IC95%: 1,12-1,26), WC (OR: 1,29, IC95%: 1,18-1,42) e HC (OR: 1,07, IC95%: 1,01-1,14) aumentaram significativamente o risco de síndrome metabólica. Conclusões Foi reconhecida uma associação entre índices de obesidade e diabetes. Esses índices podem ser usados na prática clínica para avaliação e controle do DM2.