Displaying publications 1 - 20 of 30 in total

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  1. Chin KY, Ima-Nirwana S, Mohamed IN, Aminuddin A, Ngah WZ
    Exp. Clin. Endocrinol. Diabetes, 2013 Jul;121(7):407-12.
    PMID: 23765753 DOI: 10.1055/s-0033-1345164
    Testosterone and sex hormone-binding globulin (SHBG) have been shown to be associated with metabolic syndrome (MS) in men. This study aimed at validating these relationships in a group of middle-aged and elderly men and assessing their strength of association to MS. A cross-sectional study of 332 Malaysian men aged 40 years and above was conducted. The blood of subject was collected under fasting condition for determination of testosterone, SHBG, glucose and lipid levels. Their medical history, smoking and alcohol consumption status, waist circumference (WC), body mass index (BMI) and blood pressure (BP) were recorded. All testosterone and SHBG levels were significantly reduced in MS subjects compared to non-MS subjects (p<0.05). Testosterone and SHBG were correlated significantly with most of the MS indicators without adjustments. In multiple regression analysis, the triglyceride level was the only MS indicator that was significantly, inversely and independently associated with all testosterone measurements and SHBG (p<0.05). Waist circumference was significantly and negatively associated with SHBG level (p<0.05) though not independent of BMI. Total testosterone and SHBG were significantly and inversely associated with the presence of MS. Testosterone and SHBG are potential intervention targets for the prevention of MS in men.
    Matched MeSH terms: Metabolic Syndrome X/blood*
  2. Lau CH, Muniandy S
    Ann. Hum. Genet., 2011 May;75(3):370-82.
    PMID: 21323646 DOI: 10.1111/j.1469-1809.2010.00635.x
    Single nucleotide polymorphisms (SNPs) at the adiponectin and resistin loci are strongly associated with hypoadiponectinemia and hyperresistinemia, which may eventually increase risk of insulin resistance, type 2 diabetes (T2DM), metabolic syndrome (MS), and cardiovascular disease. Real-time PCR was used to genotype SNPs of the adiponectin (SNP+45T>G, SNP+276G>T, SNP+639T>C, and SNP+1212A>G) and resistin (SNP-420C>G and SNP+299G>A) genes in 809 Malaysian men (208 controls, 174 MS without T2DM, 171 T2DM without MS, 256 T2DM with MS) whose ages ranged between 40 and 70 years old. The genotyping results for each SNP marker was verified by sequencing. The anthropometric clinical and metabolic parameters of subjects were recorded. None of these SNPs at the adiponectin and resistin loci were associated with T2DM and MS susceptibility in Malaysian men. SNP+45T>G, SNP+276G>T, and SNP+639T>C of the adiponectin gene did not influence circulating levels of adiponectin. However, the G-allele of SNP+1212A>G at the adiponectin locus was marginally associated (P= 0.0227) with reduced circulating adiponectin levels. SNP-420C>G (df = 2; F= 16.026; P= 1.50×10(-7) ) and SNP+299G>A (df = 2; F= 22.944; P= 2.04×10(-10) ) of the resistin gene were strongly associated with serum resistin levels. Thus, SNP-420C>G and SNP+299G>A of the resistin gene are strongly associated with the risk of hyperresistinemia in Malaysian men.
    Matched MeSH terms: Metabolic Syndrome X/blood
  3. Chan AML, Ng AMH, Mohd Yunus MH, Idrus RBH, Law JX, Yazid MD, et al.
    Nutrients, 2021 Jul 22;13(8).
    PMID: 34444658 DOI: 10.3390/nu13082497
    Metabolic syndrome (MetS) is the physiological clustering of hypertension, hyperglycemia, hyperinsulinemia, dyslipidemia, and insulin resistance. The MetS-related chronic illnesses encompass obesity, the cardiovascular system, renal operation, hepatic function, oncology, and mortality. To perform pre-clinical research, it is imperative that these symptoms be successfully induced and optimized in lower taxonomy. Therefore, novel and future applications for a disease model, if proven valid, can be extrapolated to humans. MetS model establishment is evaluated based on the significance of selected test parameters, paradigm shifts from new discoveries, and the accessibility of the latest technology or advanced methodologies. Ultimately, the outcome of animal studies should be advantageous for human clinical trials and solidify their position in advanced medicine for clinicians to treat and adapt to serious or specific medical situations. Rodents (Rattus norvegicus and Mus musculus) have been ideal models for mammalian studies since the 18th century and have been mapped extensively. This review compiles and compares studies published in the past five years between the multitude of rodent comparative models. The response factors, niche parameters, and replicability of diet protocols are also compiled and analyzed to offer insight into MetS-related disease-specific modelling.
    Matched MeSH terms: Metabolic Syndrome X/blood
  4. Ang LW, Ma S, Cutter J, Chew SK, Tan CE, Tai ES
    Diabetes Res Clin Pract, 2005 Jan;67(1):53-62.
    PMID: 15620434 DOI: 10.1016/j.diabres.2004.05.003
    We used factor analysis to define and compare the manner in which the various features of the metabolic syndrome are linked or clustered in Chinese, Malays and Asian Indians. One thousand nine hundred and fifty seven men (1324 Chinese, 391 Malays and 261 Asian Indians) and 2308 women (1622 Chinese, 391 Malays and 296 Asian Indians) were examined. Anthropometry, blood pressure, serum glucose, lipid concentrations, and serum insulin were measured for all subjects. These data were then subjected to factor analysis which reduced the variables examined to three factors in all ethnic groups and both genders. The first (dyslipidemia) factor was positively loaded for obesity, insulin resistance (IR), fasting triglyceride and negatively loaded for HDL-cholesterol. The second (hyperglycemia) factor was positively loaded for IR and blood glucose. The third (hypertension) factor was positively loaded for obesity and blood pressure. IR was positively loaded in the hypertension factor in Malay women but not in others. Rather than a single entity causally associated with insulin resistance (IR), our findings support a concept in which the metabolic syndrome represents several distinct entities (dyslipidemia, hypertension and hyperglycemia). It appears that Malay females may be more prone to develop hypertension in association with IR.
    Matched MeSH terms: Metabolic Syndrome X/blood
  5. Thor SM, Yau JW, Ramadas A
    PLoS One, 2021;16(9):e0257433.
    PMID: 34520483 DOI: 10.1371/journal.pone.0257433
    Metabolic syndrome (MetS) is frequently associated with various health issues and is a major contributor to morbidity and mortality worldwide, particularly with its recent relevance to coronavirus disease 2019 (COVID-19). To combat its increasing prevalence in Southeast Asia, numerous intervention programs have been implemented. We conducted a scoping review on recent interventions to manage MetS among Southeast Asians using standard methodologies. Cochrane, Embase, Ovid MEDLINE, PubMed, and Scopus databases were systematically searched to yield peer-reviewed articles published between 2010-2020. We included 13 articles describing 11 unique interventions in four Southeast Asian countries: Malaysia, Thailand, Indonesia, and Vietnam. These interventions were broadly categorized into four groups: (i) nutrition (n = 4); (ii) physical activity (n = 2); (iii) nutrition and physical activity (n = 2); and (iv) multi-intervention (n = 3). Most studies investigated the effects of an intervention on components of MetS, which are anthropometry, blood pressure, glucose-related parameters, and lipid profile. Significant improvements ranged from 50% of studies reporting serum triglyceride and HDL-cholesterol levels to 100% for waist circumference. Evidence on interventions for individuals with MetS remains limited in Southeast Asia. More studies from other countries in this region are needed, especially on the effects of dietary interventions, to effectively address gaps in knowledge and provide sufficient data to design the ideal intervention for Southeast Asian populations.
    Matched MeSH terms: Metabolic Syndrome X/blood
  6. Aminuddin A, Zakaria Z, Fuad AF, Kamsiah J, Othman F, Das S, et al.
    Saudi Med J, 2013 Mar;34(3):266-75.
    PMID: 23475091
    To determine the association between carotid femoral pulse wave velocity (PWVCF); augmentation index (AI); and high-sensitivity C reactive protein (hs-CRP) with metabolic syndrome (MetS), and to determine the influence of ethnicity on PWVCF and AI, and the association between high hs-CRP and increased PWV, and AI in MetS.
    Matched MeSH terms: Metabolic Syndrome X/blood*
  7. Bador KM, Wee LD, Halim SA, Fadi MF, Santhiran P, Rosli NF, et al.
    Diabetes Metab Syndr, 2016 Jan-Mar;10(1 Suppl 1):S42-5.
    PMID: 26482049 DOI: 10.1016/j.dsx.2015.09.009
    AIMS: The aim of this study was to determine if osteocalcin is related to adiposity and hyperglycaemia in metabolic syndrome irrespective of the presence of diabetes mellitus.
    MATERIALS AND METHODS: This was a cross sectional study of 90 patients (59 men and 31 women) with metabolic syndrome as defined by the International Diabetes Federation criteria. Based on medical history 50 out of 90 patients had a diabetes. Anthropometric data were collected and blood taken for measurement of osteocalcin, fasting lipids, fasting glucose and insulin resistance (using homeostatic model assessment index, HOMA-IR).
    RESULTS: Osteocalcin correlated negatively with fasting glucose (r=-0.366, p<0.001) and HOMA-IR (r=-0.305, p<0.05) but not with waist circumference (r=0.079), body mass index (r=0.028), total cholesterol (r=0.061) or triglycerides (r=0.009). Diabetics had higher HOMA-IR (p<0.01) and lower osteocalcin levels (p<0.01) than non-diabetics. Among diabetics, osteocalcin correlated with glucose only (r=-0.341, p=0.015). In non-diabetics, osteocalcin correlated with HOMA-IR (r=-0.359, p=0.023) via insulin (r=-0.402, p=0.010). Patients with impaired fasting glucose levels (5.6-6.9mmol/L) had the same HOMA-IR as diabetics (p=0.076) but not low osteocalcin (p=0.025).
    CONCLUSIONS: In this cross-sectional study of subjects with metabolic syndrome and central obesity, low osteocalcin was associated with diabetes but not adiposity.
    KEYWORDS: Adiposity; Central obesity; Diabetes; Metabolic syndrome; Osteocalcin
    Matched MeSH terms: Metabolic Syndrome X/blood*
  8. Mohd Nor NS, Saimin H, Rahman T, Abdul Razak S, Mohd Nasir N, Ismail Z, et al.
    J Obes, 2018;2018:8508549.
    PMID: 29785305 DOI: 10.1155/2018/8508549
    Objective: There is limited data comparing prothrombogenic or fibrinolysis biomarkers (tissue plasminogen activator (tPA) and plasminogen activator inhibitor-1 (PAI-1)) simultaneously in subjects with Metabolic Syndrome (MS), simple central obesity without MS (COB) and normal controls (NC). We investigated the concentrations of fibrinolysis biomarkers in subjects with MS, COB and NC.

    Methods: A cross-sectional study involving 503 drug naive subjects (163 males, aged 30-65 years old (mean age ± SD = 47.4 ± 8.3 years)) divided into MS, COB and NC groups. COB was defined as central obesity (waist circumference (WC) males ≥90 cm, females ≥80 cm) in the absence of MS according to the International Diabetes Federation 2006. Fasting blood levels of tPA and PAI-1were analyzed.

    Results: MS and COB had significantly higher concentration of all biomarkers compared to NC. The MS group had significantly higher concentration of tPA and PAI-1 compared to COB. WC and HDL-c had significant correlation with all biomarkers (tPA p < 0.001, PAI-1 p < 0.001). Fasting plasma glucose and diastolic blood pressure were independent predictors after correcting for confounding factors.

    Conclusion: Central obesity with or without MS both demonstrated enhanced prothrombogenesis. This suggests that simple obesity possibly increases the risk of coronary artery disease in part, via increased susceptibility to thrombogenesis.

    Matched MeSH terms: Metabolic Syndrome X/blood*
  9. Mohamad NV, Wong SK, Wan Hasan WN, Jolly JJ, Nur-Farhana MF, Ima-Nirwana S, et al.
    Aging Male, 2019 Jun;22(2):129-140.
    PMID: 29925283 DOI: 10.1080/13685538.2018.1482487
    Testosterone is the predominant gonadal androgen in men. Low testosterone levels are found to be associated with an increased in metabolic risk and systematic inflammation. Since adipose tissue is a source of inflammatory cytokines, testosterone may regulate inflammation by acting on adipose tissue. This review aimed to explore the role of testosterone in inflammation and its mechanism of action. Both animal studies and human studies showed that (1) testosterone deficiency was associated with an increase in pro-inflammatory cytokines; (2) testosterone substitution reduced pro-inflammatory cytokines. The suppression of inflammation by testosterone were observed in patients with coronary artery disease, prostate cancer and diabetes mellitus through the increase in anti-inflammatory cytokines (IL-10) and the decrease in pro-inflammatory cytokines (IL-1β, IL-6, and TNF-α). Despite these, some studies also reported a non-significant relationship. In conclusion, testosterone may possess anti-inflammatory properties but its magnitude is debatable. More evidence is needed to validate the use of testosterone as a marker and in the management of chronic inflammatory diseases.
    Matched MeSH terms: Metabolic Syndrome X/blood
  10. Zahary MN, Harun NS, Yahaya R, Nik Him NAS, Rohin MAK, Ridzwan NH, et al.
    Diabetes Metab Syndr, 2019 04 25;13(3):2015-2019.
    PMID: 31235129 DOI: 10.1016/j.dsx.2019.04.048
    BACKGROUND AND OBJECTIVES: Metabolic syndrome (MetS) is characterized as a cluster of metabolic disorder including increased blood pressure, elevated blood glucose level, high cholesterol level and visceral fat obesity. Polypeptide hormones such as adiponectin and resistin play a significant role in glucose and lipids metabolism, liver and pancreas function. This study aimed to investigate the relationship between serum adiponectin and resistin with MetS criteria among Temiar subtribe in Kuala Betis.

    MATERIALS AND METHODS: This cross sectional study involved 123 subjects from Temiar subtribe in Kuala Betis, Gua Musang, Kelantan. MetS criteria were measured according to standard protocol by modified National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) guideline. Anthropometric and biochemical measurements were performed including serum adiponectin and resistin for every study subjects.

    RESULTS: Serum adiponectin was significantly lower in MetS subjects (7.98 ± 5.65 ng/ml) but serum resistin was found to be significantly higher in MetS subjects (11.22 ± 6.34 ng/ml) compared to non-MetS subjects with p blood pressure, fasting blood glucose, triglyceride and total cholesterol. Serum resistin was found to be positively correlated with BMI, waist circumference, fasting blood glucose and total cholesterol.

    CONCLUSION: The difference in serum adiponectin and resistin level among MetS individuals indicated the potential of serum adiponectin and resistin to be used as a biomarker for the diagnosis of MetS among Temiar subtribe.

    Matched MeSH terms: Metabolic Syndrome X/blood*
  11. Chia PP, Fan SH, Say YH
    Ethn Dis, 2015;25(4):383-90.
    PMID: 26673968 DOI: 10.18865/ed.25.4.383
    This study aimed to investigate the association of peroxisome proliferator-activated receptor (PPAR) genes PPARα L162V, PPARγ2 C161T and PPARδ T294C single nucleotide polymorphisms (SNPs) with obesity and metabolic syndrome (Met-S) in a multi-ethnic population in Kampar, Malaysia.
    Matched MeSH terms: Metabolic Syndrome X/blood
  12. Rampal S, Yang MH, Sung J, Son HJ, Choi YH, Lee JH, et al.
    Gastroenterology, 2014 Jul;147(1):78-87.e3.
    PMID: 24632359 DOI: 10.1053/j.gastro.2014.03.006
    BACKGROUND & AIMS: Diabetes is a risk factor for colorectal cancer. We studied the association between markers of glucose metabolism and metabolic syndrome and the presence of colorectal adenomas in a large number of asymptomatic men and women attending a health screening program in South Korea. We also investigated whether these associations depend on adenoma location.
    METHODS: In a cross-sectional study, we measured fasting levels of glucose, insulin, hemoglobin A1c, and C-peptide and calculated homeostatic model assessment (HOMA) values (used to quantify insulin resistance) for 19,361 asymptomatic South Korean subjects who underwent colonoscopy examinations from January 2006 to June 2009. Participants completed a standardized self-administered health questionnaire and a validated semiquantitative food frequency questionnaire. Blood samples were collected on the day of the colonoscopy; fasting blood samples were also collected. Robust Poisson regression was used to model the associations of glucose markers with the prevalence of any adenoma.
    RESULTS: Using detailed multivariable-adjusted dose-response models, the prevalence ratios (aPR, 95% confidence interval [CI]) for any adenoma, comparing the 90th with the 10th percentile, were 1.08 (1.00-1.16; P = .04) for fasting glucose, 1.07 (0.99-1.15; P = .10) for insulin, 1.09 (1.02-1.18, P = .02) for HOMA, 1.09 (1.01-1.17; P = .02) for hemoglobin A1c, and 1.14 (1.05-1.24; P = .002) for C-peptide. The corresponding ratios for nonadvanced adenomas were 1.11 (0.99-1.25; P = .08), 1.10 (0.98-1.24; P = .12), 1.15 (1.02-1.29; P = .02), 1.14 (1.01-1.28; P = .03), and 1.20 (1.05-1.37; P = .007), respectively. The corresponding ratios for advanced adenomas were 1.32 (0.94-1.84; P = .11), 1.23 (0.87-1.75; P = .24), 1.30 (0.92-1.85; P = .14), 1.13 (0.79-1.61; P = .50), and 1.67 (1.15-2.42; P = .007), respectively. Metabolic syndrome was associated with the prevalence of any adenoma (aPR, 1.18; 95% CI, 1.13-1.24; P < .001), nonadvanced adenoma (aPR, 1.30; 95% CI, 1.20-1.40; P < .001), and advanced adenoma (aPR, 1.42; 95% CI, 1.14-1.78; P = .002). Associations were similar for adenomas located in the distal versus proximal colon.
    CONCLUSIONS: Increasing levels of glucose, HOMA values, levels of hemoglobin A1c and C-peptide, and metabolic syndrome are significantly associated with the prevalence of adenomas. Adenomas should be added to the list of consequences of altered glucose metabolism.
    Matched MeSH terms: Metabolic Syndrome X/blood
  13. Yeow TP, Khir AS, Ismail AA, Ismail IS, Kamarul Imran M, Khalid BA, et al.
    Diabet Med, 2012 Nov;29(11):1378-84.
    PMID: 22803824 DOI: 10.1111/j.1464-5491.2012.03741.x
    AIMS: Cardiovascular disease is the foremost cause of mortality in Malaysia but little is known about the prevalence of the metabolic syndrome and its associations with other known cardiovascular risk markers. We undertook a population-based study to examine these.
    METHODS: For the study, 4341 subjects were selected using a multistage stratified sampling method. Subjects were interviewed for personal and past medical history. Biomedical markers and anthropometric indices were measured. The metabolic syndrome was defined using the harmonized criteria. The associations between the metabolic syndrome and cardiovascular risk markers, including high-sensitivity C-reactive protein, microalbuminuria and HbA(1c) were examined.
    RESULTS: The prevalence of the metabolic syndrome was 42.5%. Subjects with the metabolic syndrome are significantly more likely to have higher BMI (> 25 kg/m(2)), HbA(1c) [≥ 42 mmol/mol (6.0%)], LDL (≥ 2.6 mmol/l), elevated albumin:creatinine ratio (> 2.5 μg/mmol creatinine for men, 3.5 μg/mmol creatinine for women) and high-sensitivity C-reactive protein (> 3 mg/l); odds ratio 5.48, 6.14, 1.44, 3.68 and 1.84, respectively, P < 0.001. The presence of an elevated albumin:creatinine ratio and high-sensitivity C-reactive protein are strong predictors for the presence of a higher number of positive criteria of the metabolic syndrome. HbA(1c) > 48 mmol/mol (6.5%) is associated with increased relative risk of elevated albumin:creatinine ratio, high-sensitivity C-reactive protein and LDL (relative risk 3.10, 2.46 and 1.65 respectively, P < 0.001).
    CONCLUSIONS: We confirmed the high prevalence of the metabolic syndrome in Malaysia. Our study revealed a strong relationship between risk markers of elevated BMI, HbA(1c), LDL, albumin:creatinine ratio and high-sensitivity C-reactive protein with the presence of the metabolic syndrome, putting them at a statistically high risk for cardiovascular mortality.
    Matched MeSH terms: Metabolic Syndrome X/blood*
  14. Rampal S, Mahadeva S, Guallar E, Bulgiba A, Mohamed R, Rahmat R, et al.
    PLoS One, 2012;7(9):e46365.
    PMID: 23029497 DOI: 10.1371/journal.pone.0046365
    The prevalence of metabolic syndrome is increasing disproportionately among the different ethnicities in Asia compared to the rest of the world. This study aims to determine the differences in the prevalence of metabolic syndrome across ethnicities in Malaysia, a multi-ethnic country.
    Matched MeSH terms: Metabolic Syndrome X/blood
  15. Al-Hamodi Z, Ismail IS, Saif-Ali R, Ahmed KA, Muniandy S
    Cardiovasc Diabetol, 2011;10:23.
    PMID: 21414238 DOI: 10.1186/1475-2840-10-23
    Increased plasma plasminogen activator inhibitor-1 (PAI-1) activity and decreased tissue plasminogen activator (tPA) activity could be considered a true component of the metabolic syndrome (MetS) associated with an increased risk of developing cardiovascular diseases (CVD) and fibrinolytic abnormalities. The aim of this study was to investigate the association of tPA and its inhibitor PAI-1 with type 2 diabetes (T2D) and MetS and interrelationship between PAI-1 and tPA activities and antigens in Malaysian T2D and normal subjects.
    Matched MeSH terms: Metabolic Syndrome X/blood*
  16. Saif-Ali R, Harun R, Al-Jassabi S, Wan Ngah WZ
    Acta Biochim. Pol., 2011;58(2):179-86.
    PMID: 21633728
    This study aimed to investigate the associations of hepatocyte nuclear factor 4 (HNF4) alpha single nucleotide polymorphisms (SNPs) and haplotype with insulin resistance and metabolic syndrome parameters. Nine SNPs spanning the HNF4 alpha P2 promoter (rs4810424, rs1884613 and rs1884614) and coding region (rs2144908, rs6031551, rs6031552, rs1885088, rs1028583 and rs3818247) were genotyped in 160 subjects without diabetes or metabolic syndrome. The HNF4 alpha P2 promoter SNPs rs4810424, rs1884613 and rs1884614 were associated with insulin resistance (p = 0.017; 0.037; 0.024) and body mass index (BMI) (p = 0.03; 0.035; 0.039). The intron 1D SNP rs2144908 was associated with high-density lipoprotein cholesterol (HDLc) (p = 0.020) and the intron 9 SNP rs3818247 showed association with systolic (p = 0.02) and diastolic (p = 0.034) blood pressure. HNF4 alpha common haplotype CCCGTC associated with higher insulin resistance (p = 0.022), fasting blood glucose (FBG) (p = 0.035) and lower HDLc (p = 0.001). In conclusion, subjects with HNF4 alpha P2 variants and haplotypes have been shown to have a higher insulin resistance and are therefore at a higher risk for developing type 2 diabetes mellitus.
    Matched MeSH terms: Metabolic Syndrome X/blood
  17. Shahar S, Adznam SN, Lee LK, Yusof NA, Salleh M, Mohamed Sakian NI
    Public Health Nurs, 2013 Mar;30(2):140-9.
    PMID: 23452108 DOI: 10.1111/j.1525-1446.2012.01051.x
    This study aimed to determine the effectiveness of a nutrition education intervention package in improving anthropometric, clinical and biochemical indicators of rural older Malays with metabolic syndrome (MS).
    Matched MeSH terms: Metabolic Syndrome X/blood
  18. Hasan H, Attlee A, Jan Bin Jan Mohamed H, Aris N, Bin Wan Muda WAM
    J Obes, 2018;2018:1597840.
    PMID: 30631594 DOI: 10.1155/2018/1597840
    INTRODUCTION: Physical activity (PA) may improve cardiometabolic fitness and increase high-molecular-weight adiponectin (HMW-Adip). The pedometer is an effective, user-friendly device to monitor PA with the aim of improving health. This study examined how counting footsteps, using a pedometer, might affect HMW-Adip and MetS components among young females.

    METHODS: Fifty-two females (21.43 ± 4.8 years) were divided into "normal" (BMI = 18-24.9 kg/m2) and "high" (BMI ≥ 25 kg/m2) BMI groups. Participants wore pedometers throughout the day for nine weeks. Pre-post intervention tests performed on anthropometric, biochemical, and nutrient intake variables were tested at p ≤ 0.05.

    RESULTS: Participants walked 7056 ± 1570 footsteps/day without a significant difference between normal (7488.49 ± 1098) and high (6739.18 ± 1793) BMI groups. After week 9, the normal BMI group improved significantly in BMI, body fat mass (BFM), and waist-hip ratio (WHR). Additionally, percent body fat, waist circumference (WC), and visceral fat area also reduced significantly in the high BMI group. A significant decrease in triglycerides (TG) (71.62 ± 29.22 vs. 62.50 ± 29.16 mg/dl, p=0.003) and insulin (21.7 ± 8.33 µU/l vs. 18.64 ± 8.25 µU/l, p=0.046) and increase in HMW-Adip (3.77 ± 0.46 vs. 3.80 ± 0.44 μg/ml, p=0.034) were recorded in the high BMI group. All participants exhibited significant inverse correlations between daily footsteps and BMI (r=-0.33, p=0.017), BFM (r=-0.29, p=0.037), WHR (r=-0.401, p=0.003), and MetS score (r=-0.49, p < 0.001) and positive correlation with HMW-Adip (r=0.331, p=0.017). A positive correlation with systolic (r=0.46, p=0.011) and diastolic (r=0.39, p=0.031) blood pressures and inverse correlation with the MetS score (r=-0.5, p=0.005) were evident in the high BMI group.

    CONCLUSION: Counting footsteps using a pedometer is effective in improving MetS components (obesity, TG) and increasing HMW-Adip levels.

    Matched MeSH terms: Metabolic Syndrome X/blood*
  19. Wickramatilake CM, Mohideen MR, Pathirana C
    Ann Endocrinol (Paris), 2015 Jul;76(3):260-3.
    PMID: 26142486 DOI: 10.1016/j.ando.2015.04.008
    OBJECTIVE: There is limited data on the assessment of relationship between sex hormones, metabolic syndrome (MS) and inflammation. Therefore, our objective was to examine the relationship between metabolic syndrome, testosterone and inflammation.
    PATIENTS AND METHODS: It was a cross-sectional study which included 309 subjects in the age range of 30-70years. Blood was analyzed for plasma glucose, serum lipids, total testosterone (TT) and high-sensitivity C-reactive protein (hs-CRP).
    RESULTS: There were 153 patients with metabolic syndrome and 156 without MS according to modified NCEP guidelines. Age, BMI, obesity, dyslipidaemia, smoking (OR=2.35, CI=1.35-4.09), LDL-Ch, low TT (OR=0.76, CI=0.38-1.52) and elevated hs-CRP (OR=1.56, CI=0.87-2.80) were significant independent predictors of MS (all P<0.05).
    CONCLUSIONS: The low testosterone and high hs-CRP levels are independent predictors of metabolic syndrome.
    KEYWORDS: Hommes; Inflammation; Men; Metabolic syndrome; Syndrome métabolique; Testosterone; Testostérone
    Matched MeSH terms: Metabolic Syndrome X/blood*
  20. Fortner RT, Hüsing A, Kühn T, Konar M, Overvad K, Tjønneland A, et al.
    Int J Cancer, 2017 Mar 15;140(6):1317-1323.
    PMID: 27935083 DOI: 10.1002/ijc.30560
    Endometrial cancer risk prediction models including lifestyle, anthropometric and reproductive factors have limited discrimination. Adding biomarker data to these models may improve predictive capacity; to our knowledge, this has not been investigated for endometrial cancer. Using a nested case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, we investigated the improvement in discrimination gained by adding serum biomarker concentrations to risk estimates derived from an existing risk prediction model based on epidemiologic factors. Serum concentrations of sex steroid hormones, metabolic markers, growth factors, adipokines and cytokines were evaluated in a step-wise backward selection process; biomarkers were retained at p 
    Matched MeSH terms: Metabolic Syndrome X/blood
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