2,735 research outputs found
Prevalence of metabolic syndrome using WHO, ATPIII and IDF definitions in Asian Indians: The Chennai Urban Rural Epidemiology Study (CURES-34)
Incidence of Diabetes and Pre-diabetes in a Selected Urban South Indian Population (Cups - 19)
Abstract
Objectives: Several cross-sectional studies have reported on the prevalence of diabetes in India. However,
there are virtually no longitudinal population-based studies on the incidence of diabetes from India. The
aim of the study was to determine the incidence of diabetes and prediabetes in an urban south Indian
population.
Methods: The Chennai Urban Population Study [CUPS], an ongoing epidemiological study in two residential
colonies in Chennai [the largest city in southern India, formerly called Madras] was launched in 1996; the
baseline study was completed in 1997. Follow-up examination was performed after a mean period of 8
years. At follow-up, 501 [47.0%] subjects had moved out of this colonies and were lost to follow-up. Of the
remaining 564 individuals, 513 [90.9%] provided blood samples for biochemical analysis. Regression analysis
was done using incident diabetes as dependant variable to identify factors associated with development of
diabetes or pre-diabetes.
Results: Among subjects with normal glucose tolerance (NGT) at baseline [n=476], 64 (13.4%) developed
diabetes and 48 (10.1%) developed pre-diabetes (IGT or IFG). The incidence rate of diabetes was 20.2 per 1000
person years and that of pre-diabetes was 13.1 per 1000 person years among subjects with NGT. Of the 37
individuals who were pre-diabetic at baseline, 15 (40.5%) developed diabetes [incidence rate: 64.8 per 1000
person years], 16 (43.2%) remained as pre-diabetic and 6 (16.2%) reverted to normal during the follow-up
period. Regression analysis revealed obesity [Odds Ratio (OR): 2.1, p=0.001], abdominal obesity [OR: 2.23,
p<0.001] and hypertension [OR: 2.57, p<0.001] to be significantly associated with incident diabetes. The Indian
Diabetes Risk Score (IDRS) showed the strongest association with incident diabetes [OR: 5.14, p<0.001].
Conclusion: The study shows that the incidence of diabetes is very high among urban south Indians.
While obesity, abdominal obesity and hypertension were associated with incident diabetes, IDRS was th
Regulation of the JNK pathway by TGF-beta activated kinase 1 in rheumatoid arthritis synoviocytes.
c-Jun N-terminal kinase (JNK) contributes to metalloproteinase (MMP) gene expression and joint destruction in inflammatory arthritis. It is phosphorylated by at least two upstream kinases, the mitogen-activated protein kinase kinases (MEK) MKK4 and MKK7, which are, in turn, phosphorylated by MEK kinases (MEKKs). However, the MEKKs that are most relevant to JNK activation in synoviocytes have not been determined. These studies were designed to assess the hierarchy of upstream MEKKs, MEKK1, MEKK2, MEKK3, and transforming growth factor-beta activated kinase (TAK)1, in rheumatoid arthritis (RA). Using either small interfering RNA (siRNA) knockdown or knockout fibroblast-like synoviocytes (FLSs), MEKK1, MEKK2, or MEKK3 deficiency (either alone or in combination) had no effect on IL-1beta-stimulated phospho-JNK (P-JNK) induction or MMP expression. However, TAK1 deficiency significantly decreased P-JNK, P-MKK4 and P-MKK7 induction compared with scrambled control. TAK1 knockdown did not affect p38 activation. Kinase assays showed that TAK1 siRNA significantly suppressed JNK kinase function. In addition, MKK4 and MKK7 kinase activity were significantly decreased in TAK1 deficient FLSs. Electrophoretic mobility shift assays demonstrated a significant decrease in IL-1beta induced AP-1 activation due to TAK1 knockdown. Quantitative PCR showed that TAK1 deficiency significantly decreased IL-1beta-induced MMP3 gene expression and IL-6 protein expression. These results show that TAK1 is a critical pathway for IL-1beta-induced activation of JNK and JNK-regulated gene expression in FLSs. In contrast to other cell lineages, MEKK1, MEKK2, and MEKK3 did not contribute to JNK phosphorylation in FLSs. The data identify TAK1 as a pivotal upstream kinase and potential therapeutic target to modulate synoviocyte activation in RA
Prevalence, Awareness and Control of Hypertension in Chennai - The Chennai Urban Rural Epidemiology Study (CURES – 52)
Objective : To study the prevalence, awareness and control of hypertension in Chennai representing Urban
South India.
Methods : The Chennai Urban Rural Epidemiology Study (CURES) is one of the largest epidemiological
studies on diabetes carried out in India, where 26,001 individuals aged ≥ 20 years were screened using
systematic random sampling method. Every tenth subject recruited in Phase 1 of CURES was requested to
participate in Phase 3 of CURES and the response rate was 2,350/26,001 or 90.4%. An oral glucose tolerance
test was performed in all individuals except self-reported diabetic subjects. Anthropometric measurements
and lipid estimations were done in all subjects. Hypertension was diagnosed in all subjects who were on
drug treatment for hypertension or if the blood pressure ≥ 140/90 mmHg.
Results : Hypertension was present in 20% [men:23.2% vs. women:17.1%, p<0.001] of the study population.
Isolated systolic hypertension (Systolic BP ≥ 140 and Diastolic BP<90 mmHg) was present in 6.6% while
isolated diastolic hypertension (DBP ≥ 90 and SBP<140 mmHg) was present in 4.2% of the population.
Among the elderly population (aged ≥ 60 years), 25.2% had isolated systolic hypertension. Age, body mass
index, smoking, serum cholesterol and triglycerides were found to be strongly associated with hypertension.
Among the total hypertensive subjects, only 32.8% were aware of their blood pressure, of these, 70.8% were
under treatment and 45.9% had their blood pressure under control.
Conclusion : Hypertension was present in one-fifth of this urban south Indian population and isolated
systolic hypertension was more common among elderly population. Majority of hypertensive subjects still
remain undetected and the control of hypertension is also inadequate. This calls for urgent prevention and
control measures for hypertensio
Prevalence and Risk Factors of Diabetic Nephropathy in an Urban South Indian Population: The Chennai Urban Rural Epidemiology Study (CURES 45)
OBJECTIVE— The aim of this study was to determine the prevalence of diabetic nephropathy
among urban Asian-Indian type 2 diabetic subjects.
RESEARCH DESIGN AND METHODS— Type 2 diabetic subjects (n 1,716), inclusive
of known diabetic subjects (KD subjects) (1,363 of 1,529; response rate 89.1%) and randomly
selected newly diagnosed diabetic subjects (NDD subjects) (n 353) were selected from
the Chennai Urban Rural Epidemiology Study (CURES). Microalbuminuria was estimated by
immunoturbidometric assay and diagnosed if albumin excretion was between 30 and 299 g/mg
of creatinine, and overt nephropathy was diagnosed if albumin excretion was 300 g/mg of
creatinine in the presence of diabetic retinopathy, which was assessed by stereoscopic retinal
color photography.
RESULTS— The prevalence of overt nephropathy was 2.2% (95% CI 1.51–2.91). Microalbuminuria
was present in 26.9% (24.8 –28.9). Compared with the NDD subjects, KD subjects had
greater prevalence rates of both microalbuminuria with retinopathy and overt nephropathy (8.4
vs. 1.4%, P 0.001; and 2.6 vs. 0.8%, P 0.043, respectively). Logistic regression analysis
showed that A1C (odds ratio 1.325 [95% CI 1.256 –1.399], P 0.001), smoking (odds ratio
1.464, P0.011), duration of diabetes (1.023, P0.046), systolic blood pressure (1.020, P
0.001), and diastolic blood pressure (1.016, P0.022) were associated with microalbuminuria.
A1C (1.483, P 0.0001), duration of diabetes (1.073, P 0.003), and systolic blood pressure
(1.031, P 0.004) were associated with overt nephropathy.
CONCLUSIONS— The results of the study suggest that in urban Asian Indians, the prevalence
of overt nephropathy and microalbuminuria was 2.2 and 26.9%, respectively. Duration of
diabetes, A1C, and systolic blood pressure were the common risk factors for overt nephropathy
and microalbuminuria
Adipocytokines and the expanding 'Asian Indian Phenotype'
This article does not have an abstract
GC-MS ANALYSIS OF BIOACTIVE CONSTITUENTS OF METHANOLIC EXTRACT OF LEAVES OF ACTINODAPHNE BOURDILLONII GAMBLE
Objective: The investigation was carried out to characterize the chemical constituents present in the methanolic extracts of leaves of Actinodaphne bourdillonii Gamble using GC-MS.
Methods: The chemical constituents of methanolic extract of A. bourdillonii were studied by using Perkin Elmer Gas Chromatography- Mass Spectroscopy.
Results: The GC-MS analysis of the methanolic extract revealed the presence of 18 compounds. The major chemical constituents are Tobacco compounds- 4,8,13-Cyclotetradecatriene-1,3-diol, 1,5,9-trimethyl-12-(1-methylethyl)- (33.47%), Terpene alcohol compounds - 3,7,11,15-Tetramethyl-2-hexadecen-1-ol (10.78%), Myirstic acid - Tetradecanoic acid (9.89%) and Sugar moiety compounds -1,6-Anhydro-2,4-dideoxy-á-D-ribo-hexopyranose (7.93%). The analysis of bioactive principles of methanolic extract of leaves of A. bourdillonii has not been reported previously.
Conclusion: A. bourdillonii is a valuable tree with numerous medicinal properties which contains various bioactive principles. Such studies will be very much help full in designing a new drugs for the therapeutic values
A simplified Indian diabetes risk score for screening for undiagnosed diabetic subjects
Aim: The aim of this study was to develop and validate a simplified Indian Diabetes Risk Score for detecting undiagnosed diabetes in India.
Methods: The risk score was derived from the Chennai Urban Rural Epidemiology Study (CURES), an ongoing epidemiological study on a representative population of Chennai. Phase 1 of CURES recruited 26,001 individuals, of whom every tenth subject was requested to participate in Phase 3 for screening for diabetes using World Health Organization (WHO) 2hour venous plasma glucose criteria [i.e. ≥200 mg/dl]. The response rate was 90.4% (2350/2600). The Indian Diabetes Risk Score [IDRS] was developed based on results of multiple logistic regression analysis. Internal validation was performed on the same data. Results: IDRS used four risk factors: age, abdominal obesity, family history of diabetes and physical activity. Beta co-efficients were derived based on a multiple logistic regression analysis using undiagnosed diabetes as the dependent variable. The beta co-efficients were modified so as to obtain a maximum possible score of 100. Receiver Operating Characteristic [ROC] curves were constructed to identify the optimum value of IDRS for detecting diabetes by WHO consulting group criteria. Area under the curve for ROC was 0.698 (95% confidence interval (CI):0.663 .0.733). An IDRS value . 60 had the optimum sensitivity (72.5%) and specificity (60.1%) for determining undiagnosed diabetes with a positive predictive value of 17.0%, negative predictive value of 95.1%, and accuracy of 61.3%. Conclusion: This simplified Indian Diabetes Risk Score is useful for identifying undiagnosed diabetic subjects in India and could make screening programmes more cost effective
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