Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study.

PURPOSE: Growing awareness of the biological and clinical value of nutrition in frailty settings calls for further efforts to investigate dietary gaps to act sooner to achieve focused management of aging populations. We cross-sectionally examined the eating habits of an older Mediterranean population to profile dietary features most associated with physical frailty. METHODS: Clinical and physical examination, routine biomarkers, medical history, and anthropometry were analyzed in 1502 older adults (65 +). CHS criteria were applied to classify physical frailty, and a validated Food Frequency Questionnaire to assess diet. The population was subdivided by physical frailty status (frail or non-frail). Raw and adjusted logistic regression models were applied to three clusters of dietary variables (food groups, macronutrients, and micronutrients), previously selected by a LASSO approach to better predict diet-related frailty determinants. RESULTS: A lower consumption of wine (OR 0.998, 95% CI 0.997-0.999) and coffee (OR 0.994, 95% CI 0.989-0.999), as well as a cluster of macro and micronutrients led by PUFAs (OR 0.939, 95% CI 0.896-0.991), zinc (OR 0.977, 95% CI 0.952-0.998), and coumarins (OR 0.631, 95% CI 0.431-0.971), was predictive of non-frailty, but higher legumes intake (OR 1.005, 95%CI 1.000-1.009) of physical frailty, regardless of age, gender, and education level. CONCLUSIONS: Higher consumption of coffee and wine, as well as PUFAs, zinc, and coumarins, as opposed to legumes, may work well in protecting against a physical frailty profile of aging in a Mediterranean setting. Longitudinal investigations are needed to better understand the causal potential of diet as a modifiable contributor to frailty during aging.

Nutritional patterns as machine learning predictors of liver health in a population of elderly subjects.

BACKGROUND AND AIMS: Non-alcoholic hepatic steatosis affects 25% of adults worldwide and its prevalence increases with age. There is currently no definitive treatment for NAFLD but international guidelines recommend a lifestyle-based approach, including a healthy diet. The aim of this study was to investigate the interactions between eating habits and the risk of steatosis and/or hepatic fibrosis, using a machine learning approach, in a non-institutionalized elderly population. METHODS AND RESULTS: We recruited 1929 subjects, mean age 74 years, from the population-based Salus in Apulia Study. Dietary habits and the risk of steatosis and hepatic fibrosis were evaluated with a validated food frequency questionnaire, the Fatty Liver Index (FLI) and the FIB-4 score, respectively. Two dietary patterns associated with the risk of steatosis and hepatic fibrosis have been identified. They are both similar to a "western" diet, defined by a greater consumption of refined foods, with a rich content of sugars and saturated fats, and alcoholic and non-alcoholic calorie drinks. CONCLUSION: This study further supports the concept of diet as a factor that significantly influences the development of the most widespread liver diseases. However, longitudinal studies are needed to better understand the causal effect of the consumption of particular foods on fat accumulation in the liver.

Processed meat consumption and the risk of incident late-onset depression: a 12-year follow-up of the Salus in Apulia Study.

BACKGROUND: the possible relationship between dietary habits and the incidence of late-onset depression (LOD), defined as first depression onset at later age, is unclear. OBJECTIVE: to investigate the relationship between consumption of different food groups and incident LOD. DESIGN: longitudinal population-based study with a 12-year follow-up. SETTING: Castellana Grotte, Bari, Italy. SUBJECTS: five hundred and forty-six older subjects from the Salus in Apulia Study. METHODS: baseline data were recorded in 2003-06, and diagnostic data were recorded in 2013-18 at follow-up. Dietary intake was assessed with a food frequency questionnaire. Depressive disorders were assessed with the Structured Clinical Interview for DSM-IV Axis I Disorders. Subjects who already suffered from depression or other psychiatric disorders at baseline were excluded from the analysis. The association between LOD and single dietary determinants was examined by Cox regression analysis and then applying the hazard ratio (HR). RESULTS: subjects with incident LOD (n = 34) had lower global cognition and total cholesterol levels and a higher body mass index (BMI) at baseline. Only processed meat significantly increased the risk of incident LOD of about 10% by 5 g/day intake (HR adjusted for age, sex, education, multimorbidity and BMI: 1.13, 95% confidence intervals: 1.04-1.22). A similar relationship was found for single foods in the processed meat food group such as sausages, salami and mortadella and baked ham, but not for raw ham. CONCLUSIONS: in midlife, a higher intake of processed meat was not only associated with an increased risk of cardiovascular- and metabolic-related chronic diseases in older age but also with an increased risk of developing LOD.

Role of plant-based diet in late-life cognitive decline: results from the Salus in Apulia Study.

OBJECTIVES: Consistency among population-based studies investigating the relationship between diet and cognition in older inhabitants in the Mediterranean area is poor. The present study investigated whether diet changes over 12 years were associated with cognitive function in older people in Southern-Italy. METHODS: From the 'Salus in Apulia Study', that includes the MICOL and GreatAGE Studies, 584 participants were selected, firstly enrolled in MICOL3 (M3) and later in the GreatAGE Study (MICOL4, M4). Foods and micronutrients intake were recorded in both studies, and global cognitive function in M4, assessed with the Mini Mental State Examination. RESULTS: Plant-based foods, particularly coffee and vegetables, as well as vitamin A sources, were inversely associated to age-related cognitive impairment. Alcohol consumption showed a detrimental role on cognition, while red meat appeared to be beneficial in the present study, although its role is traditionally considered harmful for cognitive function. DISCUSSION: Our study confirmed that a traditional Mediterranean dietary pattern based on agricultural products and low alcohol consumption may help to prevent/delay age-related cognitive impairment.

Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach.

Dietary behaviour is a core element in diabetes self-management. There are no remarkable differences between nutritional guidelines for people with type 2 diabetes and healthy eating recommendations for the general public. This study aimed to evaluate dietary differences between subjects with and without diabetes and to describe any emerging dietary patterns characterizing diabetic subjects. In this cross-sectional study conducted on older adults from Southern Italy, eating habits in the "Diabetic" and "Not Diabetic" groups were assessed with FFQ, and dietary patterns were derived using an unsupervised learning algorithm: principal component analysis. Diabetic subjects (n = 187) were more likely to be male, slightly older, and with a slightly lower level of education than subjects without diabetes. The diet of diabetic subjects reflected a high-frequency intake of dairy products, eggs, vegetables and greens, fresh fruit and nuts, and olive oil. On the other hand, the consumption of sweets and sugary foods was reduced compared to non-diabetics (23.74 ± 35.81 vs. 16.52 ± 22.87; 11.08 ± 21.85 vs. 7.22 ± 15.96). The subjects without diabetes had a higher consumption of red meat, processed meat, ready-to-eat dishes, alcoholic drinks, and lower vegetable consumption. The present study demonstrated that, in areas around the Mediterranean Sea, older subjects with diabetes had a healthier diet than their non-diabetic counterparts.

Fibrosis-4 Index vs Nonalcoholic Fatty Liver Disease Fibrosis Score in Identifying Advanced Fibrosis in Subjects With Nonalcoholic Fatty Liver Disease: A Meta-Analysis.

INTRODUCTION: In subjects with nonalcoholic fatty liver disease (NAFLD), advanced fibrosis (AF) carries the highest risk of adverse liver-related events. To reduce the number of unnecessary biopsies, several noninvasive tools (NITs) for the risk stratification of fibrosis have been developed. We conducted this meta-analysis to assess the performance of the fibrosis-4 index (FIB-4) and NAFLD fibrosis scores (NFS), the 2 most common NITs, for the appropriate selection of subjects with AF for biopsy. METHODS: Four databases were searched until December 2020 (CRD42021224766). Original articles reporting data on the performance of FIB-4 and NFS, interpreted according to standard cutoffs in subjects with biopsy-proven NAFLD, were included. Separate data extractions were performed according to the lower cutoff, the higher cutoff, and the dual threshold approach. The numbers of subjects classified as true-negative, true-positive, false-negative, and false-positive were extracted. Summary operating points were estimated using a random-effects model. RESULTS: Eighteen studies evaluating 12,604 subjects were included. Participants were adult outpatients with biopsy-proven NAFLD or nonalcoholic steatohepatitis. Overall, a weak-to-moderate performance was found for both scores. The head-to-head comparison showed FIB-4 to be associated with a higher performance in ruling in and NFS in ruling out AF in the single threshold approach, whereas, with the dual threshold approach, a lower prevalence of indeterminate findings was found for FIB-4. DISCUSSION: This meta-analysis suggested that currently available NITs have a limited performance in identifying AF among subjects with NAFLD. Further studies are needed to optimize existing thresholds or develop new NITs.

Associations between nutritional frailty and 8-year all-cause mortality in older adults: The Salus in Apulia Study.

INTRODUCTION: Preventive nutritional management of frailty, a multidimensional intermediate status in the ageing process, may reduce the risk of adverse health-related outcomes. We investigated the ability of a measure combining physical frailty with nutritional imbalance, defined as nutritional frailty, to predict all-cause mortality over a period of up to 8 years. METHODS: We analysed data on 1,943 older adults from the population-based 'Salus in Apulia Study'. Physical frailty was operationalized using Cardiovascular Health Study criteria and cognitive frailty by combining physical frailty with cognitive impairment. A novel five-item construct was built to assess the extent of nutritional imbalance identified with a machine learning algorithm. Cox models and Kaplan-Meier survival probability analyses of physical frailty, nutritional imbalance (two or more of the following: low body mass index, low skeletal muscle index, ≥2.3 g/day sodium intake, <3.35 g/day potassium intake and <9.9 g/day iron intake), cognitive frailty and the novel nutritional frailty phenotype (physical frailty plus nutritional imbalance) were applied to assess all-cause mortality risk, adjusted for age, sex, education and multimorbidity. RESULTS: The overall prevalence of nutritional frailty was 4.52% (95% confidence interval, CI:3.55-5.44), being more frequent in males. Subjects with nutritional frailty were at higher risk for all-cause mortality [hazard ratio (HR):2.31; 95%CI:1.41-3.79] than those with physical frailty (HR:1.45,95% CI:1.0-2.02), nutritional imbalance (HR:1.39; 95%CI:1.05-1.83) and cognitive frailty (HR:1.06; 95%CI:0.56-2.01). CONCLUSIONS: Efforts to identify, manage and prevent frailty should include the nutritional domain. The nutritional frailty phenotype may highlight major nutritional determinants that could drive survival and health trajectories in older adults.

Physical and cognitive profiles in motoric cognitive risk syndrome in an older population from Southern Italy.

BACKGROUND AND PURPOSE: In older age, physical and cognitive declines have been shown to occur simultaneously or consequent to one another, and several operational definitions have been proposed to consider the co-presence of the two declines; for example, "Motoric cognitive risk syndrome" (MCR) has been proposed as a definition for the coexistence of slow gait plus subjective cognitive complaints. Given the increasing interest in MCR and its potential role as both biomarker and therapeutic target, we aimed to estimate its prevalence in a large cohort of non-demented older subjects, and to examine the associations between physical status, global cognitive dysfunction, and impairment in various cognitive domains in MCR. METHODS: A population-based sample of 1041 older people in Southern Italy (mean age 75.15 years) was enrolled. We defined MCR using slowness and a single question for subjective cognitive complaints. We also administered a comprehensive neuropsychological test battery, together with tests assessing physical function. RESULTS: The prevalence of MCR was 9.9% (95% confidence interval 8.2-11.9). MCR was associated with decreased processing speed and executive function after adjusting for all relevant confounders. However, we found no significant association of MCR with decreased global cognition and immediate/delayed free recall of verbal memory. MCR was also associated with increased exhaustion, low muscle strength, and low physical activity, and increased levels of C-reactive protein and interleukin-6. CONCLUSIONS: The present findings on MCR prevalence and associated cognitive and physical domains and inflammatory biomarkers may help to uncover altered pathways and therapeutic targets for intervention during the long preclinical phase of neurodegenerative dementia.

Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia Study.

Self-report questionnaires are a valuable method of physical activity measurement in public health research; however, accuracy is often lacking. Resolving the differences between self-reported and objectively measured physical activity is an important surveillance challenge currently facing population health experts. The present work aims at providing the relationship between activity energy expenditure estimated from wrist-worn accelerometers and intensity of self-reported physical activity (InCHIANTI structured interview questionnaire) in a sub-cohort of a population-based study on aging in Southern Italy. Linear regression was used to test the association between measured and reported physical activity. We found that activity energy expenditure predicted clinical average levels of PA assessed through InCHIANTI classification.

Association between adherence to the Mediterranean Diet and circulating Vitamin D levels.

Vitamin D improves bone density and latest studies show adherence to Med-Diet as protective on osteoporosis. This observational study aimed at investigating the relationship between 25(OH)D levels and adherence to Med-Diet. Body weight, BMI, WC, glucose, insulin, 25(OH)D, total cholesterol, high- and low-density lipoprotein cholesterol, triglycerides, uric acid, and creatinine serum levels and insulin resistance were determined in 284 overweight/obese subjects not taking medications or supplements. Adherence to Med-Diet was evaluated by using PREDIMED score. High-level of adherence stood out. 25(OH)D was inversely related to BMI, WC, HOMA-IR, serum insulin and triglycerides, while directly to PREDIMED score. Two different regression models confirmed this positive correlation independently of gender and other parameters showing univariate relationship with 25(OH)D. This study argues that a closer adherence to Med-Diet is independently associated with an increase of 25(OH)D suggesting that higher vitamin D levels may contribute to the protective effect of the Med-Diet on osteoporosis.

The epigenetics of frailty.

The conceptual change of frailty, from a physical to a biopsychosocial phenotype, expanded the field of frailty, including social and behavioral domains with critical interaction between different frailty models. Environmental exposures - including physical exercise, psychosocial factors and diet - may play a role in the frailty pathophysiology. Complex underlying mechanisms involve the progressive interactions of genetics with epigenetics and of multimorbidity with environmental factors. Here we review the literature on possible mechanisms explaining the association between epigenetic hallmarks (i.e., global DNA methylation, DNA methylation age acceleration and microRNAs) and frailty, considered as biomarkers of aging. Frailty could be considered the result of environmental epigenetic factors on biological aging, caused by conflicting DNA methylation age and chronological age.

The present narrative review describes the available evidence about epigenetic biological markers of frailty considered aging biomarkers, among others. Aging biomarkers can help in identifying frail and older individuals affected by multiple diseases to further increase the power of composite biomarker panels in the diagnostic and prognostic process. Among combined biomarkers, epigenetic regulators with different methylation patterns and small molecules such as microRNAs are included. Given that frailty involves multiple biological systems, it is possible to define it according to a novel model, including emotional and social domains and the influence of environmental factors, named the biopsychosocial phenotype. Different epigenetic biomarkers of frailty, from the first generation to the more specific and recent second-generation epigenetic aging biomarkers, may account for factors linked to different cellular types, such as heterogeneity, and a reverse causation process that requires integration with gene expression. A better understanding of the relationships among frailty, multimorbidity and overall mortality will help us to identify the best therapeutic targets.

Lessons learned from the failure of solanezumab as a prospective treatment strategy for Alzheimer's disease.

INTRODUCTION: In the last decade, the efforts conducted for discovering Alzheimer's Disease (AD) treatments targeting the best-known pathogenic factors [amyloid-ß (Aß), tau protein, and neuroinflammation] were mostly unsuccessful. Given that a systemic failure of Aß clearance was supposed to primarily contribute to AD development and progression, disease-modifying therapies with anti-Aß monoclonal antibodies (e.g. solanezumab, bapineuzumab, gantenerumab, aducanumab, lecanemab and donanemab) are ongoing in randomized clinical trials (RCTs) with contrasting results. AREAS COVERED: The present Drug Discovery Case History analyzes the failures of RCTs of solanezumab on AD. Furthermore, the authors review the pharmacokinetics, pharmacodynamics, and tolerability effect of solanezumab from preclinical studies with its analogous m266 in mice. Finally, they describe the RCTs with cognitive, cerebrospinal fluid and neuroimaging findings in mild-to-moderate AD (EXPEDITION studies) and in secondary prevention studies (A4 and DIAN-TU). EXPERT OPINION: Solanezumab was one of the first anti-Aß monoclonal antibodies to be tested in preclinical and clinical AD showing to reduce brain Aß level by acting on soluble monomeric form of Aß peptide without significant results on deposits. Unfortunately, this compound showed to accelerate cognitive decline in both asymptomatic and symptomatic trial participants, and this failure of solanezumab further questioned the Aß cascade hypothesis of AD.

A Machine-Learning Approach to Target Clinical and Biological Features Associated with Sarcopenia: Findings from Northern and Southern Italian Aging Populations.

Epidemiological and public health resonance of sarcopenia in late life requires further research to identify better clinical markers useful for seeking proper care strategies in preventive medicine settings. Using a machine-learning approach, a search for clinical and fluid markers most associated with sarcopenia was carried out across older populations from northern and southern Italy. A dataset of adults >65 years of age (n = 1971) made up of clinical records and fluid markers from either a clinical-based subset from northern Italy (Pavia) and a population-based subset from southern Italy (Apulia) was employed (n = 1312 and n = 659, respectively). Body composition data obtained by dual-energy X-ray absorptiometry (DXA) were used for the diagnosis of sarcopenia, given by the presence of either low muscle mass (i.e., an SMI < 7.0 kg/m2 for males or <5.5 kg/m2 for females) and of low muscle strength (i.e., an HGS < 27 kg for males or <16 kg for females) or low physical performance (i.e., an SPPB ≤ 8), according to the EWGSOP2 panel guidelines. A machine-learning feature-selection approach, the random forest (RF), was used to identify the most predictive features of sarcopenia in the whole dataset, considering every possible interaction among variables and taking into account nonlinear relationships that classical models could not evaluate. Then, a logistic regression was performed for comparative purposes. Leading variables of association to sarcopenia overlapped in the two population subsets and included SMI, HGS, FFM of legs and arms, and sex. Using parametric and nonparametric whole-sample analysis to investigate the clinical variables and biological markers most associated with sarcopenia, we found that albumin, CRP, folate, and age ranked high according to RF selection, while sex, folate, and vitamin D were the most relevant according to logistics. Albumin, CRP, vitamin D, and serum folate should not be neglected in screening for sarcopenia in the aging population. Better preventive medicine settings in geriatrics are urgently needed to lessen the impact of sarcopenia on the general health, quality of life, and medical care delivery of the aging population.

The Impact of Apolipoprotein E (APOE) Epigenetics on Aging and Sporadic Alzheimer's Disease.

Sporadic Alzheimer's disease (AD) derives from an interplay among environmental factors and genetic variants, while epigenetic modifications have been expected to affect the onset and progression of its complex etiopathology. Carriers of one copy of the apolipoprotein E gene (APOE) ε4 allele have a 4-fold increased AD risk, while APOE ε4/ε4-carriers have a 12-fold increased risk of developing AD in comparison with the APOE ε3-carriers. The main longevity factor is the homozygous APOE ε3/ε3 genotype. In the present narrative review article, we summarized and described the role of APOE epigenetics in aging and AD pathophysiology. It is not fully understood how APOE variants may increase or decrease AD risk, but this gene may affect tau- and amyloid-mediated neurodegeneration directly or indirectly, also by affecting lipid metabolism and inflammation. For sporadic AD, epigenetic regulatory mechanisms may control and influence APOE expression in response to external insults. Diet, a major environmental factor, has been significantly associated with physical exercise, cognitive function, and the methylation level of several cytosine-phosphate-guanine (CpG) dinucleotide sites of APOE.

The Effects of Eight Weeks' Very Low-Calorie Ketogenic Diet (VLCKD) on Liver Health in Subjects Affected by Overweight and Obesity.

Very low-calorie ketogenic diets (VLCKD) are widely employed in successful weight-loss strategies. Herein, we evaluated the efficacy and safety of a VLCKD on non-alcoholic fatty liver disease (NAFLD) and parameters commonly associated with this condition in overweight and obese subjects who did not take any drugs. This prospective, real-life study included thirty-three participants who followed a VLCKD for 8 weeks. NAFLD was diagnosed using transient elastography (FibroScan). Data on anthropometric measurements, bioimpedance analysis, and biochemical assays were gathered both before and after the dietary intervention. BMI (kg/m2) (from 33.84 ± 6.55 to 30.89 ± 6.38, p < 0.01), waist circumference (cm) (from 106.67 ± 15.51 to 98.64 ± 16.21, p < 0.01), and fat mass (Kg) (from 38.47 ± 12.59 to 30.98 ± 12.39, p < 0.01) were significantly lower after VLCKD. CAP (db/m), the FibroScan parameter quantifying fatty liver accumulation, showed a significant reduction after VLCKD (from 266.61 ± 67.96 to 223 ± 64.19, p < 0.01). After VLCKD, the fatty liver index (FLI), a benchmark of steatosis, also revealed a significant decline (from 62.82 ± 27.46 to 44.09 ± 31.24, p < 0.01). Moreover, fasting blood glucose, insulin, triglycerides, total cholesterol, LDL-cholesterol, ALT, γGT, and FT3 blood concentrations, as well as insulin resistance (quantified by HOMAIR) and systolic and diastolic blood pressure levels, were significantly lower after VLCKD (p < 0.01 for all the parameters). By contrast, HDL-cholesterol, 25 (OH) vitamin D, and FT4 blood concentrations were higher after VLCKD (p < 0.01 for all parameters). The variation (δ) of CAP after VLCKD did not show a correlation with the δ of any other parameter investigated in this study. We conclude that VLCKD is a helpful approach for NAFLD independent of changes in factors commonly associated with NAFLD (obesity, fat mass, insulin resistance, lipids, and blood pressure) as well as vitamin D and thyroid hormone levels.

Ultra-processed food consumption and nutritional frailty in older age.

Frailty is a multidisciplinary public health issue and nutrition is key concern. Given the scientific consistency about inflammation as shared pathway to poor nutrition and frailty, food processing seems a suitable target to gain evidence in frailty prevention nutrition settings. This study aimed to assess diet in relation to nutritional frailty using the NOVA classification. Browsing the dataset of the Salus in Apulia, 2185 older adults were found to have completed the nutritional assessment, providing eligible data for this study goal. A validated construct, based on the co-presence of physical frailty by CHS criteria plus nutritional imbalance, was applied to characterize nutritional frailty phenotypes. Using the NOVA classification, daily food and beverage intakes from an 85-item self-administered FFQ were assigned to three categories, and effect sizes were tested among groups according to nutritional frailty status (presence/absence). Raw and adjusted logistic regression models were run to assess associations between NOVA food categories by quintiles of daily exposure (very-low, low, mild, moderate, high) and nutritional frailty. Nutritional frailty prevalence was 27%, being more frequent in males. Eating more unprocessed or minimally processed foods was inversely related to nutritional frailty, even after adjustment (OR: 0.10, 95%CI 0.07-0.16), showing a downward ORs behavior toward lower consumption quintiles. Listing in the quintile of moderate consumption of processed foods meant a nearly 50% increase in nutritional frailty probability (OR: 1.46, 95%CI 1.03-2.06), while the probability was double for the highest quintile against the lowest (OR: 3.22, 95%CI 2.27-4.58). A growing probability of nutritional frailty was found for increasing consumption of ultra-processed foods, but significance was lacking. The contribution of food processing to poor nutrition needs to be considered when promoting a better understanding of effective nutritional screening in aging. Therefore, food processing should be accounted for when composing diet guidelines for the older population within the framework of multidisciplinary efforts to ease the frailty healthcare burden.

Clinical development of passive tau-based immunotherapeutics for treating primary and secondary tauopathies.

INTRODUCTION: Tauopathies are clinicopathological entities with increased and pathological deposition in glia and/or neurons of hyperphosphorylated aggregates of the microtubule-binding protein tau. In secondary tauopathies, i.e. Alzheimer's disease (AD), tau deposition can be observed, but tau coexists with another protein (amyloid-ß). In the last 20 years, little progress has been made in developing disease-modifying drugs for primary and secondary tauopathies and available symptomatic drugs have limited efficacy. AREAS COVERED: The present review summarized recent advances about the development and challenges in treatments for primary and secondary tauopathies, with a focus on passive tau-based immunotherapy. EXPERT OPINION: Several tau-targeted passive immunotherapeutics are in development for treating tauopathies. At present, 14 anti-tau antibodies have entered clinical trials, and 9 of them are still in clinical testing for progressive supranuclear palsy syndrome and AD (semorinemab, bepranemab, E2814, JNJ-63733657, Lu AF87908, APNmAb005, MK-2214, PNT00, and PRX005). However, none of these nine agents have reached Phase III. The most advanced anti-tau monoclonal antibody for treating AD is semorinemab, while bepranemab is the only anti-tau monoclonal antibody still in clinical testing for treating progressive supranuclear palsy syndrome. Further evidence on passive immunotherapeutics for treating primary and secondary tauopathies will come from ongoing Phase I/II trials.

Corrigendum: Dietary customs and social deprivation in an aging population from Southern Italy: A machine learning approach.

[This corrects the article DOI: 10.3389/fnut.2022.811076.].

Depressive and Biopsychosocial Frailty Phenotypes: Impact on Late-life Cognitive Disorders.

In older age, frailty is a detrimental transitional status of the aging process featuring an increased susceptibility to stressors defined by a clinical reduction of homoeostatic reserves. Multidimensional frailty phenotypes have been associated with all-cause dementia, mild cognitive impairment (MCI), Alzheimer's disease (AD), AD neuropathology, vascular dementia, and non-AD dementias. In the present article, we reviewed current evidence on the existing links among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders, also examining common pathways and mechanisms underlying these links. The depressive frailty phenotype suggested by the construct of late-life depression (LLD) plus physical frailty is poorly operationalized. The biopsychosocial frailty phenotype, with its coexistent biological/physical and psychosocial dimensions, defines a biological aging status and includes motivational, emotional, and socioeconomic domains. Shared biological pathways/substrates among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders are hypothesized to be inflammatory and cardiometabolic processes, together with multimorbidity, loneliness, mitochondrial dysfunction, dopaminergic neurotransmission, specific personality traits, lack of subjective/objective social support, and neuroendocrine dysregulation. The cognitive frailty phenotype, combining frailty and cognitive impairment, may be a risk factor for LLD and vice versa, and a construct of depressive frailty linking physical frailty and LLD may be a good dementia predictor. Frailty assessment may enable clinicians to better target the pharmacological and psychological treatment of LLD. Given the epidemiological links of biopsychosocial frailty with dementia and MCI, multidomain interventions might contribute to delay the onset of late-life cognitive disorders and other adverse health-related outcomes, such as institutionalization, more frequent hospitalization, disability, and mortality.