Decline In Function Research Articles

Skeletal muscle reactive oxygen species and microvascular endothelial function in age‐related hypertension: a study protocol using a microdialysis technique

AbstractIncreased reactive oxygen species (ROS) generation and microvascular endothelial disruptions occur with natural ageing, but often transpire before the detection of cardiometabolic conditions including hypertension. Age‐related increases in blood pressure are driven by complex systemic changes with poorly understood integrated mechanisms. The deconditioning experienced by ageing skeletal muscle from mid‐life is associated with reduced microvascular blood flow and increased peripheral resistance, suggesting that vasodilatory decrements in the muscle may precede the age‐related increases in blood pressure. Structural and functional changes within the vascular and skeletal muscle systems with advancing age can influence redox homeostasis, and vice versa, further compounding microvascular endothelial dysfunction. Therefore, comparisons between the microvascular environments of healthy and hypertensive cohorts can provide insights into the changes that occur during significant periods of functional decline. This comprehensive study protocol describes a microdialysis technique to assess the interactions of microvascular health and functional changes in the muscle, which currently cannot be otherwise addressed. Here, we detail an experimental protocol to simultaneously detect skeletal muscle ROS (H2O2 and indirect O2−), determine nutritive blood flow and assess microvascular endothelial function in response to acetylcholine stimulation. We expect that healthy middle‐aged individuals should not have increased ROS generation in the muscle at rest, compared to their hypertensive or older counterparts, but may exhibit perturbed microvascular function. The described technique allows for intricate exploration of microvascular physiology that will provide a critically novel insight into benchmarking potential age‐related mechanisms involved in the development of age‐related hypertension, and aid in early identification and prevention. imageKey points Increased reactive oxygen species (ROS) production and microvascular endothelial dysfunction precede the onset of age‐related cardiometabolic and vascular conditions such as hypertension. The profound structural and functional changes that occur within the vasculature and in skeletal muscle from middle age prompt a need to mechanistically explore the microvascular environment in healthy and hypertensive individuals. Using a novel microdialysis technique, we detail an experimental protocol to simultaneously detect skeletal muscle ROS (H2O2 and indirect O2−), determine nutritive blood flow and assess microvascular endothelial function in response to acetylcholine stimulation. With this technique and study protocol, we can reveal functional insights into potential perturbations in ROS generation at rest and the microvascular endothelium, which play important roles in the development of age‐related hypertension.

EVALUATION OF SERUM PERIOSTIN AND PIIINP AS BIOMARKERS OF RENAL FIBROSIS AND FUNCTION DECLINE IN RENAL TRANSPLANT PATIENTS

This study aimed to evaluate the potential of serum periostin and N-terminal propeptide of type III procollagen (PIIINP) as biomarkers for predicting renal fibrosis and functional decline in renal transplant patients. We conducted a two-visit observational study among 86 renal allograft patients, reduced to 35 at the two-year follow-up due to the COVID-19 pandemic. Blood samples were collected at baseline and follow-up, while urine samples were collected only at follow-up. Serum levels of PIIINP and periostin were measured using ELISA kits, and various renal function parameters were assessed. Serum PIIINP levels showed a significant decrease over two years (p<0.001, Wilcoxon test), while periostin levels significantly increased (p<0.001, Wilcoxon test). These changes correlated with declines in renal function, as indicated by decreased serum albumin and creatinine clearance levels, and increased serum creatinine levels. Significant correlations were found between changes in PIIINP and creatinine clearance (Spearman coefficient = 0.352, p<0.05), as well as between changes in periostin and creatinine clearance (Spearman coefficient = 0.626, p<0.001). Our findings suggest that serum periostin and PIIINP levels are valuable biomarkers for assessing renal fibrosis and functional decline in renal transplant patients. These biomarkers may provide insights into disease progression and guide therapeutic interventions.

Nephroprotective effect of SGLT2 inhibitors in elderly patients with type 2 diabetes mellitus and hypertension: a real-world population-based cohort study

ABSTRACT Objectives This study aimed to investigate the nephroprotective effect of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in elderly patients with type 2 diabetes mellitus (T2DM) and hypertension based on real-world clinical data. The study aimed to provide a theoretical basis for evidence-based pharmacological treatment of chronic kidney disease in this population. Methods The ‘Health Cloud’ platform of the Shanghai Municipal Health Commission was employed to identify and screen elderly patients with T2DM and hypertension. The propensity score matching cohort was further constructed to estimate the effect of SGLT2i on the risk of rapid decline in renal function (∆eGFR≤-5 ml/min/1.73 m2 or ∆eGFR%≤-5%). Multiple sensitivity analyses were conducted to assess the robustness of the results. Results After propensity score matching, no significant differences of covariates were identified between the SGLT2i and non-SGLT2i groups. The results of multivariate logistic models demonstrated a consistent and inverse correlation between SGLT2i use and the risk of rapid eGFR decline, whether defined as ∆eGFR≤-5 ml/min/1.73 m2 (OR = 0.60, 95% CI:0.38-0.96) or ∆eGFR%≤-5%（OR = 0.57, 95% CI:0.37-0.89). In the stratification of renin-angiotensin system inhibitor (RASi) treatment, SGLT2i was associated with a lower risk of rapid eGFR decline in the RASi group (all ORs < 1, p < 0.05), with no interaction between SGLT2i and RASi (all P for interaction > 0.05) detected. Conclusions SGLT2i significantly reduced the risk of rapid eGFR decline in elderly patients with T2DM and hypertension, but the synergistic effect with RASi remains unclear.

Planning and Construction Strategies for Infrastructure in Traditional Villages of the Grand Canal from the Perspective of Villager Needs

The traditional villages along the Jiangsu section of the Grand Canal are facing the threat of decline and disappearance due to the decline of the canal transportation function and the advancement of urbanization, and it is urgent to study the protection and renewal of these villages. Based on the needs of villagers, this study aims to explore the planning and construction strategies of traditional village infrastructure in the Jiangsu section of the Grand Canal. Through a literature review, field investigation, and qualitative and quantitative analysis methods, this paper conducts in-depth research and data analysis on the status quo of six types of infrastructure in 29 traditional villages, including road traffic, water supply and drainage, garbage sanitation, energy utilization, postal communication, and ecological disaster prevention. The research results show that, although the infrastructure construction has made some progress, there are still problems such as unreasonable planning, low construction quality, and the lack of cultural characteristics, which cannot fully meet the actual needs of villagers. Through a regional comparative analysis, it is found that the infrastructure condition of the Jiangnan Canal section is better than that of the Huaiyang Canal section and Middle Canal section, but they all face challenges of protection and renewal. Based on the needs of villagers, this study puts forward corresponding protection and optimization strategies, which provide theoretical guidance and practical methods for the sustainable development of traditional village infrastructure, and it has important reference significance for the infrastructure protection and development of traditional villages in other regions.

Functional connectivity and cognitive decline: a review of rs-fMRI, EEG, MEG, and graph theory approaches in aging and dementia

Age-related changes in the brain cause cognitive decline and dementia. In recent year’s researchers’ extensively studied the relationship between age related changes in functional connectivity (FC) in dementia. Those studies explore the alterations in FC patterns observed in aging and neurodegenerative disorders using techniques such as resting-state functional magnetic resonance imaging (rs-fMRI), electroencephalography (EEG) coherence analysis, and graph theory approaches. The current review summarizes the findings, which highlight the impact of FC changes on cognitive decline and neurodegenerative disease progression using these techniques and emphasize the importance of understanding neural alterations for early detection and intervention. The findings underscore the complexity of cognitive aging and the need for further research to differentiate normal aging from pathological conditions. rs-fMRI is essential for studying brain changes associated with aging and pathology by capturing coherent fluctuations in brain activity during rest, providing insights into FC without task-related confounds. Key networks such as the default mode network and front parietal control network are crucial in revealing age-related connectivity changes. Despite challenges like neurovascular uncoupling and data complexity, ongoing advancements promise improved clinical applications of rs-fMRI in understanding cognitive decline across the lifespan. EEG and magnetoencephalography (MEG) are cost-effective techniques with high temporal resolution, allowing detailed study of brain rhythms and FC. Recent studies highlight EEG/MEG’s potential in early Alzheimer’s disease detection by identifying changes in brain connectivity patterns. Integration of machine learning techniques enhances diagnostic accuracy, although further validation and research are necessary. Graph theory offers a quantitative framework to analyze cognitive networks, identifying distinct topological differences between healthy aging and pathological conditions. Future research should expand exploration into diverse neurodegenerative disorders beyond mild cognitive impairment, integrating neuroimaging techniques to refine diagnostic precision and deepen insights into brain function and connectivity.

Effects of immersive virtual reality stimulation and/or multicomponent physical exercise on cognitive and functional performance in hospitalized older patients with severe functional dependency: study protocol for a randomized clinical trial

BackgroundHospital-associated functional decline affects nearly one-third of the hospitalized older adults. The aim of this trial is to investigate the effect of a cognitive stimulation intervention provided via immersive virtual reality (IVR), with or without a multicomponent physical exercise intervention (ME) in hospitalized patients aged 75 or older with severe functional dependency at admission (Barthel Index < 60 points).MethodsThis clinical randomized controlled trial will be conducted in the Acute Geriatric Unit of a tertiary hospital in Spain. A total of 212 acute patients will be enrolled according to the following criteria: age ≥ 75, Barthel Index < 60, able to collaborate, expected length of stay ≥ 5 days, absence of clinical instability and severe dementia (Global Deterioration Scale 7) or other end-stage disease. Patients will be randomly assigned to a control group (CG) or any of the three intervention groups (IG): IVR, ME, or IVR + ME. The IVR group will watch ad-hoc videos showing Spanish regional landscapes and villages, approximately 4 min per day for three consecutive days. The ME group will undergo aerobic and strength exercise for progressive training of the upper and lower limbs. The IVR + ME group will do both cognitive and physical intervention. The primary outcomes will be cognitive and physical measures at discharge. Mood, quality of life, isometric strength, and acceptance of IVR will be also assessed.DiscussionThis project has the potential to enhance physical and psychological well-being of patients with severe functional dependency hospitalized for acute conditions, using technology. Virtual reality is expected to be favourably perceived by hospitalized older adults. This intervention represents a novelty in the geriatric patients’ care, comprising IVR and/or ME dispensed within the patient’s room, and including patients who are commonly excluded from research clinical trials.Trial registrationThis study was approved by the Navarra Clinical Research Ethics Committee on May 17th, 2023 (PI_2023/60). The trial is registered at ClinicalTrials.gov, registration number NCT06340282, 24th May 2024.

LSTM Algorithm in Predicting Chronic Kidney Disease Optimized Using Genetic Algorithm

Chronic Kidney Disease is a health condition in which the kidneys experience a progressive decline in function. Kidneys are vital organs that filter waste and excess blood fluids. CKD can lead to excess products in the body and cause various health issues, so early detection of CKD is necessary. While traditional machine learning techniques have performed well in predicting CKD in existing studies, this study investigates the potential of long short-term memory (LSTM) optimized with Genetic Algorithm to enhance predictive accuracy and efficiency by optimizing its hyperparameters, including number of units, hidden layers, activation function, recurrent activation, and dropout rate. The result demonstrates that the optimized LSTM slightly performs better than without optimization, achieving higher precision, recall, accuracy, and f1 score by 100% respectively. This outstanding result can be attributed to several key factors, such as ensuring rigorous data preprocessing and utilizing k-fold cross-validation to make the model more reliable. This indicates the hybrid approach can be a powerful method for the early detection of CKD, leading to better patient outcomes. Despite the promising performance, further research is suggested, specifically using a larger dataset to ensure applicability to more general population and exploring other optimization methods to reduce computational cost.

Associations of physiologic subtypes based on HOMA2 indices of β-cell function and insulin sensitivity with the risk of kidney function decline, cardiovascular disease, and all-cause mortality from the 4C study

BackgroundPrevious studies have been limited by their inability to differentiate between the effects of insulin sensitivity and β-cell function on the risk of kidney function decline, cardiovascular disease (CVD), and all-cause mortality. To address this knowledge gap, we aimed to investigate whether the physiological subtypes based on homeostasis model assessment-2 (HOMA2) indices of β-cell function (HOMA2-B) and insulin sensitivity (HOMA2-S) could be used to identify individuals with subsequently high or low of clinical outcome risk.MethodsThis retrospective cohort study included 7,317 participants with a follow-up of up to 5 years. Based on HOMA2 indices, participants were categorized into four physiologic subtypes: the normal phenotype (high insulin sensitivity and high β-cell function), the insulinopenic phenotype (high insulin sensitivity and low β-cell function), the hyperinsulinaemic phenotype (low insulin sensitivity and high β-cell function), and the classical phenotype (low insulin sensitivity and low β-cell function). The outcomes included kidney function decline, CVD events (fatal and nonfatal), and all-cause mortality. Cox regression models were used to calculate hazard ratios (HRs) for outcomes, and spline models were used to examine the dose-dependent associations of HOMA2-B and HOMA2-S with outcomes.ResultsA total of 1,488 (20.3%) were classified as normal, 2,179 (29.8%) as insulinopenic, 2,173 (29.7%) as hyperinsulinemic, and 1,477 (20.2%) as classical subtypes. Compared with other physiological subtypes, the classical subtype presented the highest risk of kidney function decline (classical vs. normal HR 11.50, 95% CI 4.31–30.67). The hyperinsulinemic subtype had the highest risk of CVD and all-cause mortality (hyperinsulinemic vs. normal: fatal CVD, HR 6.56, 95% CI 3.09–13.92; all-cause mortality, HR 4.56, 95% CI 2.97–7.00). Spline analyses indicated the dose-dependent associations of HOMA2-B and HOMA2-S with outcomes.ConclusionsThe classical subtype had the strongest correlation with the risk of kidney function decline, and the hyperinsulinemic subtype had the highest risk of CVD and all-cause mortality, which should be considered for interventions with precision medicine.Graphical abstract

Application of the first exit time stochastic model with self-repair mechanism to human mortality rates.

The purpose of this study is to construct a mortality model that reasonably explains survival curves and mortality rates in terms of the decline in biological function, which is the phenomenon of ageing. In this model, an individual organism is regarded as a collection of subsystems, and for each subsystem, the model defines human mortality by introducing positive self-repair mechanisms and stochastically generated negative external shocks. The probability density function of the time of death is derived explicitly, and the model parameters are estimated using life tables from Japan and the UK, which demonstrate the existence of multiple parameter sets that fit well with the observed data.

The temporal relation of physical function with cognition and the influence of brain health in the oldest-old.

Introduction Physical function and cognition seem to be interrelated, especially in the oldest-old. However, the temporal order in which they are related and the role of brain health remain uncertain. Methods We included 338 participants (mean age 93.1 years) from two longitudinal cohorts: The UCI 90+ Study and EMIF-AD 90+ Study. We tested the association between physical function (Short Physical Performance Battery, gait speed and handgrip strength) at baseline with cognitive decline (MMSE, memory tests, Animal fluency, Trail Making Test (TMT) A and Digit Span Backward), and the association between cognition at baseline with physical decline (mean follow-up 3.3 years). We also tested whether measures for brain health (hippocampal, white matter lesion and gray matter volume) were related to physical function and cognition, and whether brain health was a common driver of the association between physical function and cognition by adding it as confounder (if applicable). Results Better performance on all physical tests at baseline was associated with less decline on MMSE, memory and TMT A. Conversely, fewer associations were significant but better scores on memory, TMT A and Digit Span Backward were associated with less physical decline. When adding measures for brain health as confounder, all associations stayed significant except for memory with gait speed decline. Discussion In the oldest-old, physical function and cognition are strongly related, independently of brain health. Also, the association between physical function and cognitive decline is more pronounced than the other way around, suggesting a potential for slowing cognitive decline by optimizing physical function.

Implementing palliative and end of life care for people with dementia.

Dementia is characterised by memory loss, behavioural changes and decline of cognitive, social and physical functions and is a life-limiting condition. At the point of diagnosis it is classed as a palliative condition, yet there is limited public and healthcare professional awareness that, once diagnosed, a person will either die of dementia or die with dementia. This article discusses how the recognition and timing of the need for palliative dementia care is pivotal in providing person-centred care. The authors explore factors such as optimal prognostication, advance care planning, staff education and accessing support from palliative and end of life care teams and Admiral Nurses. The authors also use a fictional case study to demonstrate best practice in palliative dementia care.

T1-weighted MRI texture analysis in amyotrophic lateral sclerosis patients stratified by the D50 progression model

Abstract Amyotrophic lateral sclerosis (ALS), a progressive neurodegenerative disease, presents challenges in predicting individual disease trajectories due to its heterogeneous nature. This study explores the application of texture analysis on T1-weighted MRI in patients with ALS, stratified by the D50 disease progression model. The D50 model, which offers a more nuanced representation of disease progression than traditional linear metrics, calculates the sigmoidal curve of functional decline and provides independent quantifications of disease aggressiveness and accumulation. In this research, a representative cohort of 116 patients with ALS were studied using the D50 model and texture analysis on MRI images. Texture analysis, a technique used for quantifying voxel intensity patterns in MRI images, was employed to discern alterations in brain tissue associated with ALS. This study examined alterations of the texture feature autocorrelation across subgroups of patients based on disease accumulation, aggressiveness, and the first site of onset, as well as in direct regressions with accumulation/aggressiveness. The findings revealed distinct patterns of the texture-derived autocorrelation in gray and white matter, increase in bilateral corticospinal tract, right hippocampus, and left temporal pole as well as widespread decrease within motor and extra-motor brain regions, of patients stratified based on their disease accumulation. Autocorrelation alterations in grey and white matter, in clusters within the left cingulate gyrus white matter, brainstem, left cerebellar tonsil gray matter, and right inferior fronto-occipital fasciculus, were also negatively associated with disease accumulation in regression analyses. Otherwise, disease aggressiveness correlated with only two small clusters, within the right superior temporal gyrus and right posterior division of the cingulate gyrus white matter. The findings suggest that texture analysis could serve as a potential biomarker for disease stage in ALS, with potential for quick assessment based on using T1-weighted images.

Oral frailty and its association with systemic health: A narrative review

AbstractThis narrative review examined whether six measures of oral frailty (number of teeth present, chewing ability, articulatory oral motor skills, tongue pressure, difficulty in eating tough foods, and difficulty in swallowing fluids) were associated with an improvement in general health problems in older adults and whether interventions for oral functional decline would improve their general health status. We included longitudinal and intervention studies focusing on these six oral frailty parameters published between 2017 and 2020 in PubMed. The National Institutes of Health Quality Assessment Toolkit for Quantitative Research was used to assess methodological quality. Twenty‐five longitudinal and four intervention studies met the eligibility criteria. Among the longitudinal studies, oral frailty (defined as the applicability of three or more of the six parameters) was associated with physical frailty, sarcopenia, need for nursing care, death, nutritional status, and home status; chewing and bite strength were associated with frailty and death; and dysphagia was associated with death. The intervention studies showed that five of the six oral frailty parameters could be improved, except the number of teeth. Further studies must be conducted on treatment methods to promote functional recovery in these five parameters and evaluate their relationship with the general health status.

Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression

ABSTRACTSelect measures of social and environmental determinants of health (referred to as “geomarkers”), predict rapid lung function decline in cystic fibrosis (CF), defined as a prolonged decline relative to patient and/or center‐level norms. The extent to which hyper‐localization, defined as increasing the spatiotemporal precision of geomarkers, aids in prediction of rapid lung decline remains unclear. Linear mixed effects (LME) models with specialized covariance functions have been used for predicting rapid lung function decline, but there are few options to properly incorporate spatial correlation into the covariance functions while inducing simultaneous variable selection. Our innovative Bayesian model uses a spike and slab prior for simultaneous variable selection and offers additional advantages when coupled with nonstationary Gaussian LME modeling. This model also incorporates spatial correlation through an additional random effect term that accounts for spatial correlation based on ZIP code distances. We validated the model with simulations and applied it to real CF data from a Midwestern CF Center. We demonstrate how a combination of demographic, clinical, and geomarker variables can be selected as optimal predictors using Bayesian false discovery rate controlling rule. Our results indicate that incorporating spatiotemporal effects and geomarkers into this novel Bayesian stochastic LME model enhances the dynamic prediction of rapid CF disease progression.

Oral function status of older patients seeking dental implant treatment.

In recent years, dental implant treatment has become an option for prosthetic treatment for missing teeth and is often performed in older patients. However, the complex oral functional decline in old age presents challenges in terms of frailty prevention, making oral function management after prosthetic treatment crucial. Nonetheless, the actual status of oral function in older patients seeking dental implant treatment remains unclear. In this study, we aimed to assess the oral function status of older patients seeking dental implant treatment. Among patients receiving prosthetic treatment for missing teeth, 227 older patients (111 in the pre-dental implant group and 116 in the pre-bridge/denture group) who underwent a thorough examination of their oral function were included in this study. Age, sex, comorbidities, smoking status, number of functional teeth, and occlusal support status were obtained from the medical records. Statistical analyses were performed using the t-test, chi-square test, and logistic regression (p < 0.05). Compared with the pre-bridge/denture group, the pre-dental implant group had significantly better oral hygiene, occlusal force, tongue-lip motor function, tongue pressure, masticatory function, and swallowing function and a significantly lower prevalence of oral hypofunction. Older age and decreased occlusal support were associated with the diagnosis of oral hypofunction, even after adjusting for confounding factors including prosthetic treatment. Although older patients seeking dental implant treatment have a higher oral function than those seeking general prosthetic treatment, older age and a lower number of occlusal supports suggest that appropriate oral function management is needed.

Age-related decline in blood-brain barrier function is more pronounced in males than females in parietal and temporal regions.

The blood-brain barrier (BBB) plays a pivotal role in protecting the central nervous system (CNS), and shielding it from potential harmful entities. A natural decline of BBB function with aging has been reported in both animal and human studies, which may contribute to cognitive decline and neurodegenerative disorders. Limited data also suggest that being female may be associated with protective effects on BBB function. Here, we investigated age and sex-dependent trajectories of perfusion and BBB water exchange rate (kw) across the lifespan in 186 cognitively normal participants spanning the ages of 8-92 years old, using a non-invasive diffusion-prepared pseudo-continuous arterial spin labeling (DP-pCASL) MRI technique. We found that the pattern of BBB kw decline with aging varies across brain regions. Moreover, results from our DP-pCASL technique revealed a remarkable decline in BBB kw beginning in the early 60 s, which was more pronounced in males. In addition, we observed sex differences in parietal and temporal regions. Our findings provide in vivo results demonstrating sex differences in the decline of BBB function with aging, which may serve as a foundation for future investigations into perfusion and BBB function in neurodegenerative and other brain disorders.

Blood-Based Biomarkers in Frontotemporal Dementia: A Narrative Review

This narrative review explores the current landscape of blood biomarkers in Frontotemporal dementia (FTD). Neurofilament light chain (NfL) may be useful in the differentiation of behavioral variant FTD from primary psychiatric disorders (PPDs) or dementia with Lewy bodies (DLB). In prodromal FTD and presymptomatic mutation carriers (GRN, MAPT, C9orf72), elevated NfL may herald pheno-conversion to full-blown dementia. Baseline NfL correlates with steeper neuroanatomical changes and cognitive, behavioral and functional decline, making NfL promising in monitoring disease progression. Phosphorylated neurofilament heavy chain (pNfH) levels have a potential limited role in the demarcation of the conversion stage to full-blown FTD. Combined NfL and pNfH measurements may allow a wider stage stratification. Total tau levels lack applicability in the framework of FTD. p-tau, on the other hand, is of potential value in the discrimination of FTD from Alzheimer’s dementia. Progranulin concentrations could serve the identification of GRN mutation carriers. Glial fibrillary acidic protein (GFAP) may assist in the differentiation of PPDs from behavioral variant FTD and the detection of GRN mutation carriers (additional research is warranted). Finally, TAR DNA-binding protein-43 (TDP-43) appears to be a promising diagnostic biomarker for FTD. Its potential in distinguishing TDP-43 pathology from other FTD-related pathologies requires further research.

Blood pressure status, quality of life, and emotional states in adults with different disease awareness and treatment adherence

This study aimed to examine the association between blood pressure (BP) with health-related quality of life (HRQoL) and emotional states, considering the disease awareness and commitment to treatment among the Iranian adult population. This cross-sectional study uses the data of 7257 and 2449 individuals aged ≥ 20 who had completed data on HRQoL and emotional states, respectively. Linear and logistic regression were used to evaluate the mentioned association. The results showed that commitment to treatment had an inverse association with physical HRQoL in both sexes, except for bodily pain in men. Concerning mental HRQoL, in women, poor medication adherence was linked to a decline in mental HRQoL and social functioning, while good treatment adherence was associated with a reduction in the mental health domain. However, except for a decrease in vitality of hypertensive males with high treatment adherence, no significant association was found between their mental HRQoL and BP. In women, increased commitment to treatment was associated with anxiety, whereas poor commitment was related to depression and stress. The undiagnosed disease was not associated with any HRQoL and emotional state deficits. This study highlights the significance of psychiatric assessment, counseling, and support services while taking into account gender-specific differences among hypertensive patients. It also emphasizes the necessity for customized interventions for both men and women to improve their mental well-being and adherence to treatment.

The Tinetti Balance Test Is an Effective Predictor of Functional Decline in Non-Hospitalized Post-COVID-19 Individuals: A Cross-Sectional Study

Background/Objectives: Individuals with post-COVID-19 conditions risk developing short- and/or long-term neuromuscular impairments, including postural imbalance. However, there is limited evidence showing whether balance deficits are associated with declines in the functional status in post-COVID-19 individuals. This study examined postural balance in non-hospitalized post-COVID-19 individuals using different assessment tools and tested the most relevant balance tools in predicting functional status. Methods: This cross-sectional study enrolled 60 adults split into control (n = 30) and post-COVID-19 (n = 30) groups. Postural balance was assessed in both groups using the Functional Reach Test (FRT), Berg Balance Scale (BBS), Timed Up and Go (TUG), Tinetti Balance Test (Tinetti), and Mini-BESTest (MBT). Functional status in the post-COVID-19 group was assessed using post-COVID-19 functional status (PCFS). Results: Significant differences in postural stability between groups were found only for the FRT. All balance tests showed a statistically significant correlation with PCFS in the post-COVID-19 group, with better performance in all tests being associated with better functional status: Tinetti (r = −0.584), FRT (r = −0.542), MBT (r = −0.530), BBS (r = −0.415) and TUG (r = 0.368). Tinetti was the independent variable that significantly played an important role in determining PCFS (adjusted R2 = 0.318, p &lt; 0.001). Conclusions: Post-COVID-19 functional status is best determined by the Tinetti Balance Test, making it an effective tool for assessing postural balance deficits in this population, with potential implications for postural control assessment and rehabilitation.

Alterations in the transcriptome and microRNAs of adipose-derived mesenchymal stem cells from different sites in rats during aging.

Aging is an intricate and gradual process characterized by tissue and cellular dysfunction. Adipose-derived mesenchymal stem cells (ADMSCs) experience a functional decline as part of systemic aging. However, the alterations in ADMSCs across various anatomical sites throughout an individual's lifespan remain unclear. To shed light on these changes, we collected white adipose tissue and brown adipose tissue samples from the epididymis, perirenal, inguinal, and scapular regions of young, adult, and aged rats and subsequently isolated ADMSCs for RNA sequencing. As aging progressed, we observed a reduction in the number of ADMSCs at all anatomical sites. Marker genes of ADMSCs from different sites were identified. Aging triggered notable activation of inflammatory and immune responses while diminishing the ADMSC differentiation capacity and ability to maintain normal tissue morphology. Furthermore, miR-195-5p and miR-497-3p, which promoted cell senescence and apoptosis while inhibiting proliferation and differentiation, were positively correlated with aging. These findings increase our understanding of ADMSC senescence and underscore the unique physiological changes and functions of ADMSCs across different anatomical sites during aging.