serum soluble tumor necrosis factor related apoptosis inducing ligand levels in older subjects with dementia and mild cognitive impairment

Background: The tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) has been involved in both physiological and pathological conditions, including va

Autophagy and mitophagy biomarkers are reduced in sera of patients with Alzheimer's disease and mild cognitive impairment

Dementia is a neurocognitive disorder characterized by a progressive memory loss and impairment in cognitive and functional abilities. Autophagy and mitophagy are two important cellular processes by which the damaged intracellular components are degraded by lysosomes. To investigate the contribution of autophagy and mitophagy in degenerative diseases, we investigated the serum levels of specific autophagic markers (ATG5 protein) and mitophagic markers (Parkin protein) in a population of older patients by enzyme-linked immunosorbent assay. Two hundred elderly (≥65 years) outpatients were included in the study: 40 (20 F and 20 M) with mild-moderate late onset Alzheimer's disease (AD); 40 (20 F and 20 M) affected by vascular dementia (VAD); 40 with mild cognitive impairment (MCI); 40 (20 F and 20 M) with "mixed" dementia (MD); 40 subjects without signs of cognitive impairment were included as sex-matched controls. Our data indicated that, in serum samples, ATG5 and Parkin were both elevated in controls, and that VAD compared with AD, MCI and MD (all p < 0.01). Patients affected by AD, MD, and MCI showed significantly reduced circulating levels of both ATG5 and Parkin compared to healthy controls and VAD individuals, reflecting a significant down-regulation of autophagy and mitophagy pathways in these groups of patients. The measurement of serum levels of ATG5 and Parkin may represent an easily accessible diagnostic tool for the early monitoring of patients with cognitive decline

Depressive symptoms and cognitive/functional status in a sample of elderly subjects referring to a memory clinic

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Prognostic value of anemia in terms of disability and mortality in hospitalized geriatric patients: results from the CRIME study

Anemia, a common concern in geriatric population, is associated with several negative outcomes. The aim of this study was to investigate the independent prognostic value of anemia in the year after hospital discharge, analyzing its association with disability and mortality in a sample of older hospitalized patients. We evaluated 896 in-hospital older patients enrolled in the CRiteria to Assess Appropriate Medication Use among Elderly Complex Patients (CRIME) study, with assessment of hemoglobin levels at hospital admission and with follow-up data. We analyzed the risk of developing disability (in patients without pre-existing disability in activities of the daily living) and the likelihood of death (in the entire sample) in the 12 months after discharge according to presence and degree of anemia (defined by sex-specific World Health Organization criteria). Mean age of study participants was 81.2±7.4 years, 57.8% had prevalent anemia. In unadjusted analysis, anemia was strongly associated with functional status and survival. Nevertheless, the increased risk of disability and death was influenced by the coexistence of several clinical conditions associated with anemia. Indeed, using multivariate logistic regression analysis adjusted for potential confounders, the association with disability was strongly attenuated [severe anemia odds ratio (OR) 1.86, 95% confidence interval (CI): 0.96-3.58, mild-moderate anemia OR 1.05, 95% CI: 0.62-1.80] and the relationship with mortality was no longer significant [severe anemia hazard ratio (HR) 1.13, 95% CI: 0.73-1.75, mild-moderate anemia HR 1.14, 95% CI: 0.78-1.67]. In older hospitalized patients, anemia, despite not influencing mortality, might have a significant disabling effect. Anemia should not be considered as an inevitable epiphenomenon of aging but a condition able to worsen the quality of life

A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease

Background: Mechanisms of myocardial ischemia in obstructive and non-obstructive coronary artery disease (CAD), and the interplay between clinical, functional, biological and psycho-social features, are still far to be fully elucidated. Objectives: To develop a machine-learning (ML) model for the supervised prediction of obstructive versus non-obstructive CAD. Methods: From the EVA study, we analysed adults hospitalized for IHD undergoing conventional coronary angiography (CCA). Non-obstructive CAD was defined by a stenosis < 50% in one or more vessels. Baseline clinical and psycho-socio-cultural characteristics were used for computing a Rockwood and Mitnitski frailty index, and a gender score according to GENESIS-PRAXY methodology. Serum concentration of inflammatory cytokines was measured with a multiplex flow cytometry assay. Through an XGBoost classifier combined with an explainable artificial intelligence tool (SHAP), we identified the most influential features in discriminating obstructive versus non-obstructive CAD. Results: Among the overall EVA cohort (n = 509), 311 individuals (mean age 67 ± 11 years, 38% females; 67% obstructive CAD) with complete data were analysed. The ML-based model (83% accuracy and 87% precision) showed that while obstructive CAD was associated with higher frailty index, older age and a cytokine signature characterized by IL-1β, IL-12p70 and IL-33, non-obstructive CAD was associated with a higher gender score (i.e., social characteristics traditionally ascribed to women) and with a cytokine signature characterized by IL-18, IL-8, IL-23. Conclusions: Integrating clinical, biological, and psycho-social features, we have optimized a sex- and gender-unbiased model that discriminates obstructive and non-obstructive CAD. Further mechanistic studies will shed light on the biological plausibility of these associations. Clinical trial registration: NCT02737982

Low-grade systemic inflammation is associated with functional disability in elderly people affected by dementia

The decline in basic and instrumental activities of daily living (BADLs and IADLs, respectively) is a well-established clinical hallmark of dementia. Growing evidence has shown that systemic subclinical inflammation may be related to functional impairment. We evaluated the possible association between low-grade systemic inflammation and functional disability in older individuals affected by dementia. We explored the association between high-sensitivity C-reactive protein (hs-CRP) levels and BADLs/IADLs in older individuals affected by late onset Alzheimerâ\u80\u99s disease (LOAD; n 110), â\u80\u9cmixedâ\u80\u9d dementia (n 135), or mild cognitive impairment (MCI; n 258), and compared them with 75 normal Controls. Independent of age, gender, comorbidity, and other potential confounders, higher hs-CRP was significantly associated with poorer BADLs (loss â\u89¥ 1 function) in people with LOAD (odds ratio [OR] 3.14, 95% confidence interval [CI], 1.33â\u80\u937.33) and mixed dementia (OR 2.48, 95%CI 1.12â\u80\u935.55), but not in those with MCI (OR 1.38, 95%CI 0.83â\u80\u932.45) or Controls (OR 2.98, 95%CI 0.54â\u80\u9310.10). No association emerged between hs-CRP and IADLs in any of the sub-group. Our data suggest that systemic low-grade inflammation may contribute to functional disability in older patients with dementia

Association of soluble Tumor necrosis factor-Related Apoptosis-Inducing Ligand (TRAIL) with central adiposity and low-density lipoprotein cholesterol.

OBJECTIVE: Tumor necrosis factor-Related Apoptosis-Inducing Ligand (TRAIL), in addition to having a prognostic value in patients with cardiovascular disease, seems to interact with adiposity, insulin resistance and other cardiovascular risk factors. However, the results of previous clinical studies, focused on the association of TRAIL with selected metabolic or anthropometric indices were inconclusive. The aim of this study was to further investigate how soluble TRAIL concentrations independently correlate with major cardiovascular risk factors, including lipid, glycemic and anthropometric features. MATERIALS/METHODS: We examined the associations between serum soluble TRAIL concentrations, measured by ELISA, and lipid, glycemic and anthropometric features in 199 subjects recruited at our Metabolic Outpatient Clinic. RESULTS: Soluble TRAIL concentrations had a significant and direct correlation with total cholesterol (p = 0.046), LDL-cholesterol (p = 0.032), triglycerides (p = 0.01), body mass index (p = 0.046), waist circumference (p = 0.008), fat mass (p = 0.056) and insulin (p = 0.046) and an inverse correlation with HDL-cholesterol (p = 0.02). In multivariable regression analyses adjusted for potential confounders (age, gender, C-reactive protein, HDL-cholesterol, triglycerides, waist circumference, and insulin), TRAIL levels continued to have an independent correlation with LDL-cholesterol and waist circumference (r(2) = 0.04). CONCLUSIONS: Serum TRAIL levels were weakly but significantly and independently associated with waist circumference, a marker of visceral adiposity, and with LDL-cholesterol. Further studies are needed to clarify the biological basis of these relationships

The Predictive Value of the EWGSOP Definition of Sarcopenia: Results From the InCHIANTI Study

Background. Sarcopenia is associated with increased risk of adverse outcomes in older people. Aim of the study was to explore the predictive value of the European Working Group on Sarcopenia in Older People (EWGSOP) diagnostic algorithm in terms of disability, hospitalization, and mortality and analyze the specific role of grip strength and walking speed as diagnostic criteria for sarcopenia. Methods. Longitudinal analysis of 538 participants enrolled in the InCHIANTI study. Sarcopenia was defined as having low muscle mass plus low grip strength or low gait speed (EWGSOP criteria). Muscle mass was assessed using bioimpedance analysis. Cox proportional and logistic regression models were used to assess risk of death, hospitalization, and disability for sarcopenic people and to investigate the individual contributions of grip strength and walking speed to the predictive value of the EWGSOP's algorithm. Results. Prevalence of EWGSOP-defined sarcopenia at baseline was 10.2%. After adjusting for potential confounders, sarcopenia was associated with disability (odds ratio 3.15; 95% confidence interval [CI] 1.41-7.05), hospitalization (hazard ratio [HR] 1.57; 95% CI 1.03-2.41), and mortality (HR 1.88; 95% CI 0.91-3.91). The association between an alternative sarcopenic phenotype, defined only by the presence of low muscle mass and low grip strength, and both disability and mortality were similar to the association with the phenotypes defined by low muscle mass and low walking speed or by the EWGSOP algorithm. Conclusions. The EWGSOP's phenotype is a good predictor of incident disability, hospitalization and death. Assessment of only muscle weakness, in addition to low muscle mass, provided similar predictive value as compared to the original algorithm

The Predictive Value of the EWGSOP Definition of Sarcopenia: Results From the InCHIANTI Study

Background. Sarcopenia is associated with increased risk of adverse outcomes in older people. Aim of the study was to explore the predictive value of the European Working Group on Sarcopenia in Older People (EWGSOP) diagnostic algorithm in terms of disability, hospitalization, and mortality and analyze the specific role of grip strength and walking speed as diagnostic criteria for sarcopenia. Methods. Longitudinal analysis of 538 participants enrolled in the InCHIANTI study. Sarcopenia was defined as having low muscle mass plus low grip strength or low gait speed (EWGSOP criteria). Muscle mass was assessed using bioimpedance analysis. Cox proportional and logistic regression models were used to assess risk of death, hospitalization, and disability for sarcopenic people and to investigate the individual contributions of grip strength and walking speed to the predictive value of the EWGSOP's algorithm. Results. Prevalence of EWGSOP-defined sarcopenia at baseline was 10.2%. After adjusting for potential confounders, sarcopenia was associated with disability (odds ratio 3.15; 95% confidence interval [CI] 1.41-7.05), hospitalization (hazard ratio [HR] 1.57; 95% CI 1.03-2.41), and mortality (HR 1.88; 95% CI 0.91-3.91). The association between an alternative sarcopenic phenotype, defined only by the presence of low muscle mass and low grip strength, and both disability and mortality were similar to the association with the phenotypes defined by low muscle mass and low walking speed or by the EWGSOP algorithm. Conclusions. The EWGSOP's phenotype is a good predictor of incident disability, hospitalization and death. Assessment of only muscle weakness, in addition to low muscle mass, provided similar predictive value as compared to the original algorithm