Metabolic Syndrome In Elderly Patients Research Articles

Analysis of metabolic characteristics of metabolic syndrome in elderly patients with gastric cancer by non-targeted metabolomics.

The relationship between metabolic syndrome (MetS) and gastric cancer (GC), which is a common metabolic disease, has attracted much attention. However, the specific metabolic characteristics of MetS in elderly patients with GC remain unclear. To investigate the differentially abundant metabolites and metabolic pathways between preoperative frailty and MetS in elderly patients with GC based on nontargeted metabolomics techniques. In this study, 125 patients with nonfrail nonmeal GC were selected as the control group, and 50 patients with GC in the frail group were selected as the frail group. Sixty-five patients with GC combined with MetS alone were included in the MetS group, and 50 patients with GC combined with MetS were included in the MetS group. Nontargeted metabolomics techniques were used to measure plasma metabolite levels by ultrahigh-performance liquid chromatography-mass spectrometry. Multivariate statistical analysis was performed by principal component analysis, orthogonal partial least squares, pattern recognition analysis, cluster analysis, and metabolic pathway annotation. A total of 125 different metabolites, including amino acids, glycerophospholipids, sphingolipids, fatty acids, sugars, nucleosides and nucleotides, and acidic compounds, were identified via nontargeted metabolomics techniques. Compared with those in the control group, there were 41, 32, and 52 different metabolites in the MetS group, the debilitated group, and the combined group, respectively. Lipid metabolites were significantly increased in the MetS group. In the weak group, amino acids and most glycerol phospholipid metabolites decreased significantly, and fatty acids and sphingosine increased significantly. The combined group was characterized by significantly increased levels of nucleotide metabolites and acidic compounds. The alanine, aspartic acid, and glutamate metabolic pathways were obviously enriched in the asthenic group, and the glycerol and phospholipid metabolic pathways were obviously enriched in the combined group. Elderly GC patients with simple frailty, simple combined MetS, and frailty combined with MetS have different metabolic characteristics, among which amino acid and glycerophospholipid metabolite levels are significantly lower in frail elderly GC patients, and comprehensive supplementation of fat and protein should be considered. Many kinds of metabolites, such as amino acids, lipids, nucleotides, and acidic compounds, are abnormally abundant in patients with MetS combined with fthenia, which may be related to tumor-related metabolic disorders.

Study of The Relation Between Thyroid Function and Metabolic Syndrome in Elderly Patients

Study of The Relation Between Thyroid Function and Metabolic Syndrome in Elderly Patients

Liver Enzyme Correlated with C-Reactive Protein as a Biomarker of Metabolic Syndrome in Elderly Patients

Metabolic syndrome is a multifactorial disease with various risk factors that arise from insulin resistance associated with obesity, diabetes, hypertension, and dyslipidemias. Objective: To investigate the association between C-Reactive Protein and various risk factors related to CVS and metabolic health in elderly adults. Increased levels of various liver enzymes were found to be indicative of the progression of metabolic syndrome. Methods: In this study, total of 150 individuals with diagnosed metabolic syndrome were included, and they were compared to an equal number of control cases. The participants were selected from individuals visiting the Pathology and Molecular Biology Laboratories in Karachi for lab investigations. before collecting blood samples, basic vital signs, blood pressure, height, and waist circumference measurements were recorded to determine the participants' body mass index. The blood samples were then taken to assess liver enzyme levels and CRP. Results: The study examined and compared the levels of inflammatory marker and liver enzymes in both cases of metabolic syndrome (MetS) and the control group. The findings revealed a significant association (p-value of 0.001) between metabolic syndrome and elevated levels of liver enzymes and CRP. Specifically, the suspected cases of metabolic syndrome showed strong correlations with alanine aminotransferase, gamma-glutamyl transferase, and aspartate aminotransferase. However, alkaline phosphatase did not show substantial differences between the two groups. Conclusions: Our research revealed correlation between metabolic syndrome, liver enzymes and CRP. These findings indicate that high levels of liver enzymes and CRP can be indicative of cardiovascular functional abnormalities in elderly patients with metabolic syndrome.

The relationship between physical activity and diabetes in middle-aged and elderly people.

To investigate the association between diabetes symptoms and physical activity (PA) levels among middle-aged and older Chinese adults. Data for this study were obtained from 2018 Charles data. Z test, logistic regression analysis, and linear hierarchical regression analysis were performed in 5352 individuals aged ≥50 years with complete information. In terms of diabetes, 6.8% of the middle-aged and elderly people with diabetes were detected, and 93.2% of the middle-aged and elderly people without diabetes symptoms. The proportion of middle-aged and elderly people with high PA levels was 50.5%, and the proportion of middle-aged and elderly people with low PA was 49.5%. There was a significant positive correlation between low PA and diabetes (P < .05). After adjusting demographic characteristics (gender, registered permanent residence type, education level, age, widowhood) and health status characteristics (poor mood, asthma, hyperlipidemia, disability, memory disease, self-assessment of health status, hypertension, smoking, stroke, depression), there was still a statistical significance between PA level and diabetes (P < .05). The risk of diabetes of middle-aged and elderly people in China increases with age, while the risk of diabetes of middle-aged and elderly people with low level of PA is higher. The risk of diabetes is high among middle-aged and elderly people who are old, have poor self-evaluation health, suffer from hyperlipidemia, memory disease, and asthma. The middle-aged and old people should increase their PA levels to prevent and improve diabetes.

Gender discrepancies in predictors for newly onset cardiovascular events and metabolic syndrome in elderly patients from rural China.

The study aimed to estimate the possible predictors of cardiovascular events (CVEs) in elderly patients with metabolic syndrome (MetS) from rural China. Moreover, we also attempted to find the potential risk factors for newly diagnosed MetS. The Northeast China Rural Cardiovascular Health Study (NCRCHS) is a community-based prospective cohort study carried out in rural areas of northeast China. Approximately 1,059 elderly patients with MetS but no cardiovascular diseases and 1,565 elderly patients without MetS at baseline were enrolled in this study. They underwent a physical examination, completed a questionnaire in 2012-2013, and were followed up during 2015-2017. Cox proportional hazard analysis was conducted to assess the possible predictors of newly developed CVEs, and multivariate analysis was used to estimate the risk factors of newly diagnosed MetS. The common predictors of newly developed CVEs in both men and women were family history of stroke (HR [hazard ratios] female: 1.696; HR male: 2.504) and soybean consumption (HR female: 0.253; HR male: 0.130). Moreover, minority race (HR: 0.109), systolic blood pressure (SBP) (HR: 1.021), current drinking habits (HR: 2.551), family history of hypertension (HR: 2.297), LDL-C (HR: 1.669), 5,000-20,000 CNY/year annual income (HR: 0.290), and strenuous physical activity (HR: 0.397) were predictors of CVEs only in male elderly patients. For newly diagnosed MetS, body mass index (OR female: 1.212; OR male: 1.207) and fasting blood glucose (OR female: 1.305; OR male: 1.217) were common risk factors in both genders, whereas age (OR:0.958) was a protective factor in men and > 9-h/day sleep duration (OR:0.212) was a protective factor in women. In addition, SBP (OR:1.014) ≥4 times/day, bean consumption (OR:1.955), and uric acid (OR:1.005) increased the risk of MetS in men but not in women. Our study identified many effective predictors of CVEs in rural elderly patients with MetS and confirmed the presence of a gender-based discrepancy. Moreover, we also identified additional risk factors, along with the traditional ones, for newly diagnosed MetS in rural elderly patients.

Associated factors with metabolic syndrome in elderly patients harboring adrenal incidentaloma: A comparative study

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)

Predictive Value of Serum Lipoprotein-Associated Phospholipase A2 for Type 2 Diabetes Mellitus Complicated with Metabolic Syndrome in Elderly Patients

The aim was to investigate the predictive value of serum lipoprotein-associated phospholipase A2 (Lp-PLA2) for type 2 diabetes mellitus (T2DM) complicated with metabolic syndrome (MS) in elderly patients. A total of 296 patients with T2DM admitted from January 2019 to January 2021 were enrolled and assigned to MS group (n = 181) and non-MS group (n = 115). Their clinical data and laboratory test results were compared. Logistic regression analysis was employed to identify independent risk factors for MS in T2DM patients. Spearman's analysis was utilized to explore the correlations between serum Lp-PLA2 level and detection indicators. The predictive value of Lp-PLA2 for MS was analyzed by plotting receiver operating characteristic (ROC) curve, and Cox regression model was applied to explore the correlation of serum Lp-PLA2 level with MS. The results of data subjected to multivariate analysis were used to construct prediction models. The incidence rate of MS was 61.15% in T2DM patients. MS group had a significantly higher serum level of Lp-PLA2 than non-MS group (p < 0.05). Serum Lp-PLA2 was significantly positively correlated to FBG, glycosylated hemoglobin (HbA1c), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), FINS, and HOMA-IR, but significantly negatively associated with LDL-C (p < 0.05). The area under the ROC curve of Lp-PLA2 for predicting MS in T2DM patients was 0.724 (95% CI: 0.625 - 0.826, p < 0.05). The sensitivity, specificity, positive predictive value, and negative predictive value of Lp-PLA2 with an optimal cutoff value of 82.96 ng/mL were 73.7%, 85.4%, 77.56%, and 93.24%, respectively. TC, TG, HDL-C, HbA1c, and Lp-PLA2 were independent risk factors for MS (p < 0.05). The area under the ROC curve of the risk prediction model established based on these indicators was 0.823, and the cutoff value, Youden index, sensitivity, and specificity were 0.219, 0.656, 78.87%, and 87.66%, respectively, indicating higher predictive value. Increased serum Lp-PLA2 level is an independent risk factor for MS in T2DM patients. Lp-PLA2 (82.87 ng/mL) has high predictive value for MS.

Prevalence of metabolic syndrome in elderly patients with depression

Aim: To assess the prevalence of metabolic syndrome (MetS) in elderly patients with depressive disorder. Methodology: By using retrospective study design, the treatment records of all the elderly patients (aged ≥60 years) diagnosed with depressive disorders diagnosed as per the International Classification of Diseases, 10th Revision, were reviewed and data of patients for fasting blood glucose levels, lipid profile, and anthropometry (height, weight, waist circumference, and blood pressure [BP]) were extracted. The diagnosis of MetS was made as per the consensus criteria. Results: Data of 93 patients were included in the study. The mean age of the study participants was 65.65 (standard deviation [SD]: 5.61) years and the mean number of years of education was 8.33 (SD: 6.65) years. The mean duration of illness was 70.93 (SD: 107.39) months, with the mean duration of the current episode at the time of collection of data as 5.38 (SD: 3.54) months. More than half (57%) of the patients fulfilled the criteria for MetS. Besides more than half of the patients fulfilling the criteria for MetS, about one-tenth (9.7%) fulfilled one criterion, and one-third (32.3%) fulfilled 2 criteria for the MetS. The most common criteria of MetS which was fulfilled included abnormal waist circumference, followed by raised blood pressure, abnormal triglyceride levels, and abnormal high-density lipoprotein. Fasting blood glucose level was the least common abnormality. The presence of MetS was associated with a higher level of education, higher income, and presence of physical comorbidity. Conclusions: Considering that more than half of elderly patients with depressive illness also suffer from MetS, it is important to monitor elderly with depression for MetS, to reduce the risk of future cardiovascular morbidity and mortality.

The correlation of metabolic syndrome with low triiodothyronine syndrome, subclinical hypothyroidism and hyperhomocysteinemia in the elderly

Objective To explore the correlation of metabolic syndrome(MS)with low triiodothyronine(T3)syndrome(LT3S, or It is known as ESS: euthyroid sick syndrome), subclinical hypothyroidism(SCH)and a high serum total homocysteine(tHcy)level(hyperhomocysteinemia)in elderly patients. Methods We retrospectively analyzed thyroid function, serum glucose, lipids and homocysteine(Hcy)level in 83 MS patients(MS group), 30 patients with low T3 syndrome(low T3 group), 41 patients with SCH(SCH group)and 80 healthy individuals(control group)aged over 60 years from January 2015 to March 2017 in outpatient and inpatient departments of our hospital.The correlations of thyroid function and serum Hcy level with MS components were analyzed by multiple Logistic regression model. Results The incidence of low T3 syndrome and SCH in MS patients was 37.3%(31/83)and 49.4%(41/83), respectively.Low T3 group versus control group showed the lower levels in free triiodothyronine, FT4, folic acid, and Hcy, with statistically significant differences(all P 5.5 mU/L had decreased FT3 which occurred later than the rise of TSH(P<0.05). Univariate correlation analysis showed that FT3 was negatively correlated with Hcy(P<0.01), and TSH was negatively correlated with high-density lipoprotein cholesterol(P<0.01). Multivariate linear regression analysis found linear correlations of TSH with triglyceride, high-density lipoprotein cholesterol, and Hcy(all P<0.05). Logistic regression analysis showed that FT3, Hcy and TSH are highly associated with hypertension after adjustment for gender and body mass index(all P<0.05). Decreased FT3(P<0.01), elevated Hcy(P<0.05), and increased TSH(P<0.05)were independent risk factors for MS in elderly patients. Conclusions The incidences of low T3 syndrome and SCH are increased with aging.FT3, TSH, and Hcy are independent risk factors for MS in the elderly. Key words: Metabolic syndrome X; Low T3 syndrome; Hypothyroidism; Homocysteine

Characteristics of gut microbiota and its response to a Chinese Herbal Formula in elder patients with metabolic syndrome.

Alterations in gut microbiota have been known to play a critical role in metabolic syndrome. However, the microbial features in elderly patients with metabolic syndrome remain unclear. A traditional Chinese Herbal Formula, Yangyin Tiluo Decoction (YTD), can alleviate metabolic syndrome and cardiovascular disease. To characterize gut microbiota in elder patients and effects of YTD on gut microbiota during treatment of metabolic syndrome, 11 healthy elderly persons and 12 elderly persons (aged 60-90 years) with metabolic syndrome were enrolled. The patients were randomly assigned to receive YTD for 4 weeks (200 mL of the decoction two times daily). The microbial composition in healthy control, pre- and post- YTD treatment group were analyzed by 16S rRNA sequencing of fecal DNAs. Biochemical measurements were conducted for elderly patients. The results showed a high inter-individual variation of gut microbiota in elderly persons. The gut microbiota was dominated by phylum Firmicutes and Actinobacteria, which was distinct from the previously defined microbiota in Irish elderly persons. The elderly patients with metabolic syndrome had higher proportions of Lactobacillus and Bifidobacterium, and lower proportions of Anaerostipes, Coprococcus, Ruminococcus than healthy controls. YTD treatment reduced the abundance of genus Bacteroidales Incertae Sedis and species Enterobacteriaceae Incertae Sedis. The concentration of plasma lipoprotein (a) was also reduced, which was negatively correlated with the abundance of an Acinetobacter species. These results reveal a remarkable dominance of Firmicutes and Actinobacteria, and highlight the distinct gut microbiota in elderly patients with metabolic syndrome, which may be involved in pathogenesis. Furthermore, the benefits of YTD treatment were observed, providing an approach to improve metabolic syndrome in elderly patients.

Study on the correlation between KCNJ11 gene polymorphism and metabolic syndrome in the elderly.

The aim of the study was to examine the correlation between KCNJ11 gene polymorphism and metabolic syndrome in elderly patients. From January 2014 to January 2015, 54 elderly patients with metabolic syndrome were enrolled in this study as the observation group. During the same period, 46 healthy elderly individuals were enrolled in this study as the control group. KCNJ11 gene polymorphism (rs28502) was analyzed using polymerase chain reaction-restriction fragment length polymorphism. The expression levels of mRNA in different genotypes were detected using FQ-PCR. ELISA was used to evaluate the KCNJ11 protein expression in different genotypes. KCNJ11 gene polymorphism and metabolic syndrome was studied by measuring the blood pressure levels in patients with different genotypes. Three genotypes of KCNJ11 gene in rs28502 were CC, CT and TT. The CC, CT and TT genotype frequencies in healthy population were 8.5, 9.2 and 82.2%, respectively, while the genotype frequencies in patients with metabolic syndrome were 42.4, 49.8 and 7.8%, respectively. There were significant differences between groups (P≤0.05). However, the genotype frequencies of C/T in healthy individuals and metabolic syndrome patients were 35.3 and 38.3%, respectively. There were no significant differences between groups (P>0.05). FQ-PCR results showed that the KCNJ11 mRNA expression levels in the control and observation groups had no significant differences (P>0.05). However, the results obtained from ELISA analysis revealed that KCNJ11 protein expression level in the observation group was significantly higher than that in the control group (P<0.05). In conclusion, KCNJ11 gene polymorphism is associated with metabolic syndrome in the elderly. Elderly patients with the CC and TT genotypes are more likely to develop metabolic syndrome.

Correlation analysis of risk factors for atherosclerotic cerebral infarction combined with metabolic syndrome in elderly patients

Objective To analyze the clinical features of metabolic syndrome (MS) combined with and cerebral infarction (ACI) in elderly patients, and to investigate the high-risk metabolic factors for MS combined with ACI in the elderly. Methods A total of 337 elderly patients admitted to general internal medicine wards of our hospital from 2013 to 2015 were divided into MS combined with ACI group (group A), MS group (group B), ACI group (group C) and control group (group D, patients with non-MS and non-ACI). Age, smoking history and past history were recorded. The systolic blood pressure (SBP), diastolic blood pressure (DBP), levels of fasting blood glucose (FBG), total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), alanine aminotransferase (ALT), serum creatinine (CRE), glycated hemoglobin (HbA1c), glycosylated serum protein (GSP), uric acid (UA), homocysteinemia (HCY), fasting serum insulin, serum C-peptide, D-dimer (DD) were detected. Body mass index (BMI) and insulin resistance index (HOMA-IRI) were calculated. Results Age, levels of FBG, GSP, TG, systolic blood pressure, HCY, DD and HOMA-IRI were higher and the HDL-C level was lower in group A than in group B (all P <0.05). Age, levels of FBG, HbA1c, GSP, TG, TC, LDL-C, HCY, DD and HOMA-IRI were higher in group C than in group D (all P <0.05). Multivariate Logistic regression analysis showed that age (≥75 years), hypertension (blood pressure ≥140 / 90mmHg), high FBG (≥7.0 mmol/L), high TG (≥1.7 mmol/L), low HDL-C (<0.9 mmol/L), high HCY (≥20.4 μmol/L) and a history of smoking or increased carotid artery intima-media thickness (CA-IMT) were the independent risk factors for atherosclerotic cerebral infarction combined with MS (OR= 5.233, 2.870, 3.138, 5.184, 3.375, 4.545, 3.809, 3.663, respectively, all P<0.05). Conclusions Atherosclerotic cerebral infarction are affected by multiple metabolic abnormalities of MS in elderly patients. Age over 75 years, high blood pressure, high fasting glucose, hypertriglyceridemia, low high-density lipoprotein cholesterol, high homocysteine and smoking history, increased carotid artery intima-media thickness are closely related to atherosclerotic cerebral infarction combined with MS in the elderly. Key words: Metabolic syndrome×; Brain infarction; Risk factors

Screening for Metabolic Syndrome in Older Patients with Severe Mental Illness

To evaluate metabolic screening of elderly patients with severe mental illness (SMI) in terms of newly detected metabolic abnormalities. Prospective evaluation of the metabolic screening outcome data of 100 consecutive elderly outpatients with SMI, all with universal access to health services. We gathered data on previous diagnoses of hypertension, diabetes, and dyslipidemia and assessed metabolic syndrome parameters. The findings were compared with those from a group of 124 healthy elderly. In our patients with SMI (mean age: 69 years; 52% bipolar disorder, 48% schizophrenia), the frequency of metabolic syndrome was not higher compared with the healthy elderly. However, in 51% of the SMI sample, metabolic screening detected at least one metabolic abnormality in a patient with no prior history for that specific parameter. Implementing routine screening for metabolic syndrome in elderly patients with SMI may reveal substantial rates of previously undetected metabolic abnormalities.

Acipimox on the effects of insulin resistance and free fatty acids of metabolic syndrome in elderly patients

Objective To observe the changes of insulin resistance ( IR ) and free fatty acids (FFA) of metabolic syndrome(MS) in elderly patients and its impacts on aeipimoX. Methods 40 cases of metabolic syn-drome in elderly patients that givenaeipimox treatment of 8 weeks, using radioimmunoassay and Enzyme colori- metry methods to detect fasting serum insulin and FFAlevels before and after treatment, and determination of fasting blood glucose, triglyeerides, cholesterol, law-densitylipoprotein cholesterol, high density lipoprotein cho-lesterol. To compute indices of insulin resistance (Homa-IR) by steady-state model, selected 40 cases of normal elderly for control group. To measure weight, Height, waist circumference, hipcircumferenee and calculate body mass index(BMI) ,waist-hip ratio(WHI) of the two groups. Results The Homa-IR and FFAlevels in elderly MS Group were significantly higher than the control group, ( P < 0. 01, P < 0. 05 ). After treatment by intervention of Aeipimox, the high-density lipoprotein cholesterol levels was signifieandy increased ( P < 0. 01 ) , and thetriglyeer-ide,low-density lipoprotein cholesterol, FFA, Homa-IR levels were significantly decreased ( P < 0. 01, < 0. 01, O. 05,0. 01 ). Conclusions Aeipimox can significantly reduce serum triglyeeride,FFA levels and increase high densitylipoprotein cholesterol levels of metabolic syndrome in elderly patients, improving insulin resistance. Itsmechanism mayrelsted to a reduction of serum FFA levels. Key words: Aeipimox ; Insulin resistance; Metabolie syndrome in elderly; Free fatty acids

Insulinemia and leptinemia or of undernutrition in geriatric patients: markers of the metabolic syndrome or of undernutrition?

The metabolic syndrome (MS) describes a cluster of metabolic disturbances including type 2 diabetes and/or insulin resistance, hypertension, dyslipidemia and obesity, which predict a high risk of cardiovascular disorders. The associated hyperinsulinemia and hyperleptinemia may contribute to the cardiovascular risk. However, the operational value of the MS in elderly patients is questionable. We therefore investigated the prevalence and significance of the MS in geriatric care. In a survey of 98 consecutive admissions of diabetic patients, <40% had a MS; this is a low value compared to younger diabetic adults, due to a low prevalence of obesity and dyslipidemia. We found a high prevalence of low BMI (<20 kg/m2), hypoalbuminemia and low total cholesterol levels, suggesting that the MS may be modified by undernutrition. The interplay between the MS and undernutrition was further studied in 30 non-diabetic patients. Both leptinemia and insulin resistance indexes (HOMA-IR and QUICKI) were strongly associated with BMI and body fat (measured by Bioelectrical impedance Analysis). BMI, leptinemia and insulin resistance indexes were associated with the Mini Nutritional Assessment (MNA) score. Thus, undernutrition is associated with low leptin and insulin levels and may obscure the association of these parameters with cardiovascular risk. In conclusion, the MS has a low prevalence in our population of elderly diabetic patients, and is of questionable prognostic value. It can be oveshadowed by undernutrition, which is associated with low body weight, leptinemia and insulin resistance indexes. Prevention of undernutrition and/or adjustment to its consequences should receive higher priority in the care of elderly diabetic patients.

W09.243 Metabolic syndrome in elderly patients suffering a first-ever acute ischemic stroke

W09.243 Metabolic syndrome in elderly patients suffering a first-ever acute ischemic stroke

W09.243 Metabolic syndrome in elderly patients suffering a first-ever acute ischemic stroke

W09.243 Metabolic syndrome in elderly patients suffering a first-ever acute ischemic stroke