Causal Associations of Cognitive Reserve and Hierarchical Aging-Related Outcomes: A Two-Sample Mendelian Randomization Study.

PURPOSE: Two-sample Mendelian randomization methods were used to explore the causal effects of cognitive reserve proxies, such as educational attainment, occupational attainment, and physical activity (PA), on biological (leukocyte telomere length), phenotypic (sarcopenia-related features), and functional (frailty index and cognitive performance) aging levels. RESULTS: Educational attainment had a potential protective effect on the telomere length (ß = 0.10, 95% CI: 0.08-0.11), sarcopenia-related features (ß = 0.04-0.24, 95% CI: 0.02-0.27), frailty risk (ß = -0.31, 95% CI: -0.33 to -0.28), cognitive performance (ß = 0.77, 95% CI: 0.75-0.80). Occupational attainment was causally related with sarcopenia-related features (ß = 0.07-0.10, 95% CI: 0.05-0.14), and cognitive performance (ß = 0.30, 95% CI: 0.24-0.36). Device-measured PA was potentially associated with one sarcopenia-related feature (ß = 0.14, 95% CI: 0.03-0.25). CONCLUSIONS: Our findings support the potential causality of educational attainment on biological, phenotypic, and functional aging outcomes, of occupational attainment on phenotypic and functional aging-related outcomes, and of PA on phenotypic aging-related outcomes.

Development and Validation of Prediction Models for Incident Reversible Cognitive Frailty Based on Social-Ecological Predictors Using Generalized Linear Mixed Model and Machine Learning Algorithms: A Prospective Cohort Study.

This study aimed to develop and validate prediction models for incident reversible cognitive frailty (RCF) based on social-ecological predictors. Older adults aged ≥60 years from China Health and Retirement Longitudinal Study (CHARLS) 2011-2013 survey were included as training set (n = 1230). The generalized linear mixed model (GLMM), eXtreme Gradient Boosting, support vector machine, random forest, and Binary Mixed Model forest were used to develop prediction models. All models were evaluated internally with 5-fold cross-validation and evaluated externally via CHARLS 2013-2015 survey (n = 1631). Only GLMM showed good discrimination (AUC = 0.765, 95% CI = 0.736, 0.795) in training set, and all models showed fair discrimination (AUC = 0.578-0.667, 95% CI = 0.545, 0.725) in internal and external validation. All models showed acceptable calibration, overall prediction performance, and clinical usefulness in training and validation sets. Older adults were divided into three groups using risk score based on GLMM, which could assist healthcare providers to predict incident RCF, facilitating early identification of high-risk population.

Impacts of subjective cognitive decline and mild cognitive impairment on the effectiveness of an exercise intervention among community-dwelling (Pre)frail older adults.

BACKGROUND: Subjective cognitive decline (SCD) is prevalent in community-dwelling (pre)frail older adults. This study aimed to investigate whether baseline subjective cognitive decline (SCD) and mild cognitive impairment (MCI) impacted the effectiveness of an exercise intervention among (pre)frail older adults. METHODS: This is a post hoc analysis of a stepped-wedge cluster randomized trial among (pre)frail older adults across six communities. The intervention effectiveness was examined among (pre)frail older people among subgroups with normal cognition (n = 44), SCD (n = 58), or MCI (n = 30). RESULTS: The normal cognition group had both immediate and persistent treatment responses to most outcomes. The SCD group showed positive responses to frailty (0-, 12-, 24 week), ambulation and dynamic balance (0-week), and depressive symptoms (12-week). The MCI group exhibited immediate improvement in frailty, cognition, depressive symptoms, social support and QoL, which persisted only in frailty status, social support and mental QoL at follow-ups. The MCI group showed superior immediate responses to cognitive function and depressive symptoms compared to another two subgroups. No differences were found between the normal cognition and SCD groups except for cognitive status (12-week). CONCLUSIONS: (Pre)frail people with SCD or MCI had fewer improved outcomes compared to those with normal cognition regardless of immediate or persistent improvements. The incorporation of cognitive strategies with exercise interventions are recommended among (pre)frail older adults with SCD or MCI.

Effectiveness of interventions for informal caregivers of community-dwelling frail older adults: A systematic review and meta-analysis.

AIM: Systematic reviews on interventions for informal caregivers of community-dwelling frail older adults were published over a decade ago and they mistook frailty for other severe age-related conditions like disability and dementia. Therefore, this study aimed to systematically synthesize these interventions supporting these caregivers identified by an acknowledged frailty assessment instrument and to examine their effectiveness on caregiver-related outcomes. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Fourteen electronic databases, grey literature and reference lists were systematically searched for randomized controlled trials (RCTs) and non-randomized controlled trials (NRCTs) from inception to November 3, 2023. METHODS: Methodology quality and risk of bias were assessed. Data were meta-analysed using the Comprehensive Meta-Analysis, version 3.0. Studies and outcomes unsuitable for meta-analysis were summarized by narrative syntheses. RESULTS: Four studies consisting of three RCTs and one NRCT were included involving 350 participants. Interventions for caregivers of frail older adults included multicomponent interventions (n = 3) and education intervention (n = 1). Interventions had a moderate effect on reducing depression and showed nonsignificant effects on caregiver burden, caregiving time or quality of life (QoL). The PEDro scores for RCTs ranged from 6 to 8, indicating good methodologic quality, but were all judged as high risk of bias. The NRCT reported all methodologic aspects and was at low risk of bias. CONCLUSIONS: Few studies focus on interventions targeting caregivers of frail older adults, and their effectiveness may vary by outcomes. This review suggested the potential benefits of these interventions in reducing caregivers' depression. IMPACT: The differential effectiveness by outcomes and high risk of bias of studies implicate that more rigorous studies are warranted.

Joint trajectories of pain, depression and frailty and associations with adverse outcomes among community-dwelling older adults: A longitudinal study.

This study aimed to examine joint trajectories of pain, depression and frailty and their associations with adverse outcomes. Four waves of national data from the China Health and Retirement Longitudinal Study (CHARLS 2011-2018) were used, involving 4217 participants aged ≥60 years. Joint trajectories were fit using parallel-process latent class growth analysis, and their associations with adverse outcomes were evaluated using modified Poisson regression. Four joint trajectories were identified. Compared with most favorable group, other three joint trajectory groups had higher risk of functional disability and hospitalization. Slowly progressive pain, depression and frailty and persistent combination of pain, depression and frailty were also associated with cognitive decline, while slowly reduced pain and depression but persistent frailty was associated with all-cause mortality. The findings highlight unique characteristics and health impacts of concurrent changes in pain, depression and frailty over time, implicating the integrated physical and psychological care for older adults.

Development and validation of a risk scoring tool for predicting incident reversible cognitive frailty among community-dwelling older adults: A prospective cohort study.

AIM: Reversible cognitive frailty (RCF) is an ideal target to prevent asymptomatic cognitive impairment and dependency. This study aimed to develop and validate prediction models for incident RCF. METHODS: A total of 1230 older adults aged ≥60 years from China Health and Retirement Longitudinal Study 2011-2013 survey were included as the training set. The modified Poisson regression and three machine learning algorithms including eXtreme Gradient Boosting, support vector machine and random forest were used to develop prediction models. All models were evaluated internally with fivefold cross-validation, and evaluated externally using a temporal validation method through the China Health and Retirement Longitudinal Study 2013-2015 survey. RESULTS: The incidence of RCF was 27.4% in the training set and 27.5% in the external validation set. A total of 13 important predictors were selected to develop the model, including age, education, contact with their children, medical insurance, vision impairment, heart diseases, medication types, self-rated health, pain locations, loneliness, self-medication, night-time sleep and having running water. All models showed acceptable or approximately acceptable discrimination (AUC 0.683-0.809) for the training set, but fair discrimination (AUC 0.568-0.666) for the internal and external validation. For calibration, only modified Poisson regression and eXtreme Gradient Boosting were acceptable in the training set. All models had acceptable overall prediction performance and clinical usefulness. Older adults were divided into three groups by the risk scoring tool constructed based on modified Poisson regression: low risk (≤24), median risk (24-29) and high risk (>29). CONCLUSIONS: This risk tool could assist healthcare providers to predict incident RCF among older adults in the next 2 years, facilitating early identification of a high-risk population of RCF. Geriatr Gerontol Int 2024; ••: ••-••.

Effects of (pre)frailty and cognitive reserve on mild cognitive impairment among community-dwelling older adults.

OBJECTIVE: We aimed to identify the effect of lifespan cognitive reserve and (pre)frailty on mild cognitive impairment (MCI) among older adults. MATERIALS AND METHODS: A total of 4420 older adults aged above 60 with intact cognition recruited in 2011/2012 were followed up in 2015 from the China Health and Retirement Longitudinal Study (CHARLS). The assessment of MCI was based on executive function, episodic memory, and visual-spatial ability. (Pre)frailty was assessed by the validated version of the Fried physical frailty phenotype scale. The lifespan cognitive reserve consisted of the highest educational level, occupational complexity, and participation in leisure activities. Modified Poisson regression models were used to identify the risk of MCI in relation to (pre)frailty and lifespan cognitive reserve index. We examined the interactions of (pre)frailty and lifespan cognitive reserve index on both additive and multiplicative scales. RESULTS: Baseline (pre)frailty significantly increased the risk of MCI after 3-4 years of follow-up, and high cognitive reserve protected individuals from the risk of MCI. There was an additive interaction between (pre)frailty and the low lifespan cognitive reserve (the relative excess interaction risk=1.08, 95 % CI= 0.25-1,91), but no multiplicative interaction (RR=0.95, 95 % CI= 0.67-1.37). The risk of MCI was larger among older adults with comorbid (pre)frailty and low cognitive reserve than those with each condition alone. CONCLUSION: Cognitive reserve attenuates the risk of MCI associated with (pre)frailty. This finding implicates the urgency for identifying and managing MCI among frail older adults who accumulate low cognitive reserve in the life course.

Does Social Support Moderate the Relationship Between Frailty and Functional Ability Trajectory Among Community-Dwelling Older Adults?

BACKGROUND: Functional ability is the important prerequisite to live independently and achieve aging in place, which depends on the complex interaction of intrinsic and extrinsic factors. Identifying the trends and influencing factors of functional ability would contribute to the accurate assessment and intervention of geriatric health. This study aimed to disentangle the moderating effect of 3 types of social support, namely objective support, subjective support, and support utilization, on the relationship between frailty and functional ability trajectories. METHODS: This was a secondary analysis using data from a prospective 3-wave study with a sample of 777 Chinese community-dwelling older adults. Social support was assessed using the Social Support Rating scale. Frailty was assessed using the FRAIL scale. Functional ability was measured by the Lawton Instrumental Activities of Daily Living scale. Latent growth curve models were implemented to test their relationships. RESULTS: Objective support but not subjective support or support utilization moderated on the relationship between frailty and functional ability slope. Functional ability decline over time was buffered by objective support among robust individuals but exacerbated among (pre)frail individuals. CONCLUSIONS: The moderating effect of social support on the relationship between frailty and functional ability trajectory varies by support types, which reminded that social support may be a promising intervention target to maintain functional independence for frail individuals, opening up a new perspective on social support in the field of disability prevention. Effective interventions should particularly address objective support in conjunction with empowering the frail older population to optimize the trajectory of functional ability.

Joint trajectories of loneliness, social isolation and sarcopenia and associations with adverse outcomes: A prospective cohort study.

This study aimed to examine joint trajectories of loneliness, social isolation and sarcopenia and their associations with adverse outcomes. A total of 4701 participants aged ≥60 years who had a baseline and at least one follow-up assessment of loneliness, social isolation and sarcopenia across 2011, 2013 and 2015 waves in China Health and Retirement Longitudinal Study. Adverse outcomes were obtained in 2018 wave. Joint trajectories were fit using the parallel process latent class growth analysis, and their associations with adverse outcomes were evaluated using modified Poisson regression. Joint trajectory patterns for social relationship and sarcopenia did not vary by the assessment for sarcopenia, but did vary by the assessment for social relationship. Older adults exhibit distinct joint trajectories and those with persistent combination of loneliness or social isolation and sarcopenia experience greatest risk of adverse outcomes. These findings implicate integration of health care and social care for community-dwelling older adults.

Joint trajectories of physical frailty and social frailty and associations with adverse outcomes: A prospective cohort study.

BACKGROUND: We examined joint trajectories of physical frailty and social frailty as well as their associations with adverse outcomes. METHODS: We conducted a prospective cohort study by using five waves of national data from China Health and Retirement Longitudinal Study (CHARLS 2011-2020), involving 4531 participants aged ≥60 years. We identified 4-year trajectories at three examinations from 2011 to 2015 using parallel process latent class growth analysis. Adverse outcomes were obtained from 2015 to 2020 across two subsequent waves. We calculated hazard ratios (HR) using Cox proportional hazard models. We also conducted analyses by gender. RESULTS: Three joint trajectories were identified, including persistent absence of physical and social frailty (58.5 %), no physical frailty but social frailty (28.1 %), and persistent combination of physical and social frailty (13.4 %). Compared with persistent absence of physical and social frailty, no physical frailty but social frailty and persistent combination of physical and social frailty were associated with higher risk of instrumental activities of daily living (IADL) disability (HR = 1.182-2.020, 95 % CI: 1.014-2.416) and all-cause mortality (HR = 1.440-2.486, 95 % CI: 1.211-3.009). The persistent combination of physical and social frailty was also associated with ADL disability (HR = 2.412, 95 % CI: 1.999-2.911) and falls (HR = 1.410, 95 % CI: 1.196-1.662). Gender differences were observed in relationships between joint trajectories and adverse outcomes. CONCLUSION: Community-dwelling older adults exhibit distinct joint trajectories and those with persistent combination of physical and social frailty experience greatest risk of incident adverse outcomes. Clinical and public health measures targeting physical or social frailty should account for both and be gender-specific.

Effects of cognitive reserve on cognitive frailty among older adults: A population-based prospective cohort study.

AIM: We investigated the effect of lifespan cognitive reserve and its components on cognitive frailty among older adults. METHODS: A total of 4922 participants aged ≥65 years were recruited in 2008 and were followed up in 2011 from the Chinese Longitudinal Healthy Longevity Survey. Cognitive frailty was determined through the simultaneous presence of physical frailty (pre-frailty or frailty) and mild cognitive impairment, excluding concurrent dementia. The assessment of physical frailty and mild cognitive impairment was based on the Fatigue, Resistence, Ambulation, Illness, Loss of weight (FRAIL) (Fatigue, Resistence, Ambulation, Illness, Loss) and Mini-Mental State Examination scale, respectively. The lifespan cognitive reserve consisted of education attainment, occupational complexity and later-life leisure activities. We used logistic regression models to estimate the risk of cognitive frailty associated with the lifespan cognitive reserve and its components. RESULTS: A higher level of lifespan cognitive reserve, higher educational attainment or leisure activities engagement, but not occupational complexity, were associated with lower risk of incident cognitive frailty. Furthermore, cognitive, social and physical activities were associated with lower risk of incident cognitive frailty. CONCLUSION: Cognitive reserve, particularly educational attainment and leisure activities, can protect from cognitive frailty. This implicates that individuals should accumulate cognitive reserve in their lifespan, and older adults should actively participate in leisure activities to prevent cognitive frailty. Geriatr Gerontol Int 2024; 24: 398-403.

Urinary C4d and progression of kidney disease in IgA vasculitis.

BACKGROUND: IgA vasculitis nephritis is the most common secondary IgA nephropathy. Urinary C4d have been identified associated with the development and progression in primary IgA nephropathy. However, its role in kidney disease progression of IgA vasculitis nephritis is still unclear. METHODS: This study enrolled 139 patients with IgA vasculitis nephritis (IgAVN), 18 healthy subjects, 23 Focal segmental glomerulosclerosis patients and 38 IgA nephropathy (IgAN) patients. Urinary C4d levels at kidney biopsy were measured using enzyme-linked immunosorbent assay. The association between urinary C4d/creatinine and kidney disease progression event, defined as 40% eGFR decline or ESKD, was assessed using Cox proportional hazards models and restricted cubic splines. RESULTS: The levels of urinary C4d/creatinine in IgAVN and IgAN patients were higher than in healthy controls. Higher levels of urinary C4d/creatinine were associated with higher proteinuria and severe Oxford C lesions and glomerular C4d deposition. After a median follow-up of 52.79 months, 18 (12.95%) participants reached composite kidney disease progression event. The risk of kidney disease progression event was higher with higher levels of ln (urinary C4d/creatinine). After adjustment for clinical data, higher levels of urinary C4d/creatinine were associated with kidney disease progression in IgA vasculitis nephritis (per ln transformed urinary C4d/creatinine, hazard ratio (HR) =1.573, 95% confidence interval (CI) 1.101-2.245; P = 0.013). Compared to the lower C4d/creatinine group, hazard ratio was 5.539(95%CI, 1.135-27.035; P = 0.034) for the higher levels group. CONCLUSIONS: Higher levels of urinary C4d/creatinine were associated with kidney disease progression event in patients IgAVN.

Comprehensive analysis of a tryptophan metabolism-related model in the prognostic prediction and immune status for clear cell renal carcinoma.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is characterized as one of the most common types of urological cancer with high degrees of malignancy and mortality. Due to the limited effectiveness of existing traditional therapeutic methods and poor prognosis, the treatment and therapy of advanced ccRCC patients remain challenging. Tryptophan metabolism has been widely investigated because it significantly participates in the malignant traits of multiple cancers. The functions and prognostic values of tryptophan metabolism-related genes (TMR) in ccRCC remain virtually obscure. METHODS: We employed the expression levels of 40 TMR genes to identify the subtypes of ccRCC and explored the clinical characteristics, prognosis, immune features, and immunotherapy response in the subtypes. Then, a model was constructed for the prediction of prognosis based on the differentially expressed genes (DEGs) in the subtypes from the TCGA database and verified using the ICGC database. The prediction performance of this model was confirmed by the receiver operating characteristic (ROC) curves. The relationship of Risk Score with the infiltration of distinct tumor microenvironment cells, the expression profiles of immune checkpoint genes, and the treatment benefits of immunotherapy and chemotherapy drugs were also investigated. RESULTS: The two subtypes revealed dramatic differences in terms of clinical characteristics, prognosis, immune features, and immunotherapy response. The constructed 6-gene-based model showed that the high Risk Score was significantly connected to poor overall survival (OS) and advanced tumor stages. Furthermore, increased expression of CYP1B1, KMO, and TDO2 was observed in ccRCC tissues at the translation levels, and an unfavorable prognosis for these patients was also found. CONCLUSION: We identified 2 molecular subtypes of ccRCC based on the expression of TMR genes and constructed a prognosis-related model that may be used as a powerful tool to guide the prediction of ccRCC prognosis and personalized therapy. In addition, CYP1B1, KMO, and TDO2 can be regarded as the risk prognostic genes for ccRCC.

A promising natural killer cell-based model and a nomogram for the prognostic prediction of clear-cell renal cell carcinoma.

BACKGROUND: Clear-cell renal cell carcinoma (ccRCC) is one of prevalent kidney malignancies with an unfavorable prognosis. There is a need for a robust model to predict ccRCC patient survival and guide treatment decisions. METHODS: RNA-seq data and clinical information of ccRCC were obtained from the TCGA and ICGC databases. Expression profiles of genes related to natural killer (NK) cells were collected from the Immunology Database and Analysis Portal database. Key NK cell-related genes were identified using consensus clustering algorithms to classify patients into distinct clusters. A NK cell-related risk model was then developed using Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression to predict ccRCC patient prognosis. The relationship between the NK cell-related risk score and overall survival, clinical features, tumor immune characteristics, as well as response to commonly used immunotherapies and chemotherapy, was explored. Finally, the NK cell-related risk score was validated using decision tree and nomogram analyses. RESULTS: ccRCC patients were stratified into 3 molecular clusters based on expression of NK cell-related genes. Significant differences were observed among the clusters in terms of prognosis, clinical characteristics, immune infiltration, and therapeutic response. Furthermore, six NK cell-related genes (DPYSL3, SLPI, SLC44A4, ZNF521, LIMCH1, and AHR) were identified to construct a prognostic model for ccRCC prediction. The high-risk group exhibited poor survival outcomes, lower immune cell infiltration, and decreased sensitivity to conventional chemotherapies and immunotherapies. Importantly, the quantitative real-time polymerase chain reaction (qRT-PCR) confirmed significantly high DPYSL3 expression and low SLC44A4 expression in ACHN cells. Finally, the decision tree and nomogram consistently show the dramatic prediction performance of the risk score on the survival outcome of the ccRCC patients. CONCLUSIONS: The six-gene model based on NK cell-related gene expression was validated and found to accurately mirror immune microenvironment and predict clinical outcomes, contributing to enhanced risk stratification and therapy response for ccRCC patients.

MAPK1 Mediates MAM Disruption and Mitochondrial Dysfunction in Diabetic Kidney Disease via the PACS-2-Dependent Mechanism.

Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease (ESRD). Mitochondrial dysfunction in renal tubules, occurring early in the disease, is linked to the development of DKD, although the underlying pathways remain unclear. Here, we examine diabetic human and mouse kidneys, and HK-2 cells exposed to high glucose, to show that high glucose disrupts mitochondria-associated endoplasmic reticulum membrane (MAM) and causes mitochondrial fragmentation. We find that high glucose conditions increase mitogen-activated protein kinase 1(MAPK1), a member of the MAP kinase signal transduction pathway, which in turn lowers the level of phosphofurin acidic cluster sorting protein 2 (PACS-2), a key component of MAM that tethers mitochondria to the ER. MAPK1-induced disruption of MAM leads to mitochondrial fragmentation but this can be rescued in HK-2 cells by increasing PACS-2 levels. Functional studies in diabetic mice show that inhibition of MAPK1 increases PACS-2 and protects against the loss of MAM and the mitochondrial fragmentation. Taken together, these results identify the MAPK1-PACS-2 axis as a key pathway to therapeutically target as well as provide new insights into the pathogenesis of DKD.

Relationship between intrinsic capacity and health-related quality of life among community-dwelling older adults: the moderating role of social support.

PURPOSE: To examine how social support might moderate the relationship between intrinsic capacity and health-related quality of life (HRQoL) based on the buffering model of social support. METHODS: This was a cross-sectional study with a sample of 1181 Chinese community-dwelling older adults aged ≥ 60 years in 2016. Social support was assessed using the Social Support Rating Scale. Intrinsic capacity was assessed using the revised integrated care for older people screening tool. HRQoL was measured by the 12-item Short Form Health Survey. Hierarchical linear regression analysis was implemented to test the moderating effect of social support. RESULTS: Support utilization attenuated the relationship between lower intrinsic capacity and poor physical HRQoL while subjective support attenuated the relationship between lower intrinsic capacity and poor mental HRQoL. However, objective support had no significant moderating effect on the relationship between intrinsic capacity and specific domains of HRQoL. CONCLUSION: The moderating effects of social support on the association between intrinsic capacity and HRQoL vary by support types. Effective interventions should target the perception and utilization of available support among older adults with lower intrinsic capacity to maintain their physical and mental HRQoL.

Effectiveness of subjective support-focused cognitive behavioral therapy on depressive symptoms among (pre)frail community-dwelling older adults: A randomized controlled trial.

BACKGROUND: Subjective support could ameliorate the adverse effect of (pre)frailty on depressive symptoms. However, there is scarce evidence regarding subjective support-focused intervention in preventing depression among (pre)frail community-dwelling older adults. This study aims to explore the effectiveness of subjective support-focused cognitive behavioral therapy (SS-CBT) in preventing depression among this group of population. METHODS: A total of 100 community-dwelling (pre)frail older adults were recruited from six communities in a Chinese city and were randomized to an 8-week SS-CBT group or a wait-list control group. Depressive symptoms and subjective support were assessed at baseline (T0), and at 8 week (T1), 12 week (T2), 16 week (T3) after randomization. Generalized estimating equation was used to examine the effectiveness of SS-CBT on depressive symptoms and subjective support. Hierarchical linear regression models and Bootstrapping method were used to examine whether subjective support mediated the effectiveness of SS-CBT on depressive symptoms. RESULTS: Participants in SS-CBT group reported significant reduction in depressive symptoms (Wald χ2 = 20.800, p < 0.001) and improvement in subjective support (Wald χ2 = 92.855, p < 0.001) compared to those in wait-list control group. Changes in subjective support mediated the effectiveness of SS-CBT on changes in depressive symptoms. LIMITATIONS: Restricted regions to recruit participants, inclusion of the most motivated participants, lack of diagnosis of depression, potential experimenter bias and contamination, short follow-up period, and lack of an active control group. CONCLUSIONS: The findings support the benefits of SS-CBT in preventing depression among (pre)frail community-dwelling older adults, and provide insight into possible mechanisms.

Prognostic biomarkers for sepsis mortality based on the literature and LC-MS-based metabolomics of sepsis patients.

OBJECTIVES: The management of sepsis, a potentially lethal overreaction to infection, is limited by the lack of prognostic tools to guide its treatment. Our aim is to identify a novel metabolic biomarker panel for predicting sepsis mortality based on a literature review and liquid chromatography-mass spectrometry (LC-MS)-based metabolomics. METHODS: In the literature, we found metabolomics biomarkers reported to predict sepsis mortality. We determined the classifications, reported frequency, and KEGG pathway enrichment of these markers. Using serum samples from 20 sepsis survivors and 20 non-survivors within 28 days after admission to the intensive care unit (ICU), we performed LC-MS-based metabolomics. Based on the literature review and metabolomics, a prognostic biomarker panel for sepsis was identified and its area under the curve (AUC) values was assessed. RESULTS: Kynurenate, caffeine, and lysoPC 22:4 were selected as a prognostic biomarker panel for sepsis. The panel had an area under the curve (AUC) of 0.885 (95% CI, 0.694-1) evaluated by linear support vector machine (SVM) and 0.849 (0.699-1) by random forest (RF), which was higher than that of the Sequential Organ Failure Assessment (SOFA). A combination of kynurenate, caffeine, and lysoPC 22:4 and SOFA provided the best discriminating performance, with AUCs of 0.961 (0.878-1) for SVM and 0.916 (0.774-1) for RF. CONCLUSIONS: The prognostic biomarker panel consisting of kynurenate, caffeine, and lysoPC 22:4 may aid in the identification of sepsis patients at a high risk of death, leading to personalized therapy in clinical practice that will improve sepsis survival.

The multifaceted role of placental growth factor in the pathogenesis and progression of bronchial asthma and pulmonary fibrosis: Therapeutic implications.

Placental growth factor (PlGF) is a glycosylated dimeric protein that is homologous to vascular endothelial growth factor (VEGF). PlGF expression is upregulated in patients with bronchial asthma, suggesting that it plays a role in the pathogenesis of asthma. Bronchial asthma is characterized by chronic airway inflammation and airway hyperresponsiveness (AHR). After recurrent asthma attacks, pulmonary fibrosis develops and leads to airway remodeling and a further decline in lung function. In this review, we focused on the pivotal role of PlGF in chronic airway inflammation, AHR, and airway remodeling during bronchial asthma. Furthermore, we summarized data showing that PlGF may be a potential therapeutic target in bronchial asthma.

Clinical practice guidelines for frailty vary in quality but guide primary health care: a systematic review.

OBJECTIVES: To appraise the methodological quality, clinical applicability, and reporting quality of clinical practice guidelines (CPGs) for frailty in primary care and identify research gaps using evidence mapping. STUDY DESIGN AND SETTING: We conducted a systematic literature search in PubMed, Web of Science, Embase, CINAHL, guideline databases, and frailty or geriatric society websites. Appraisal of Guidelines Research and Evaluation II, AGREE-Recommendations Excellence, and Reporting Items for Practice Guidelines in Healthcare checklist were used to evaluate overall quality for frailty CPGs as "high", "medium", or "low" quality. We used bubble plots to show recommendations in CPGs. RESULTS: Twelve CPGs were identified. According to the overall quality evaluation, five CPGs were considered as high quality, six as medium quality, and one as low quality. The recommendations in CPGs were generally consistent and mainly focused on frailty prevention, identification, multidisciplinary, nonpharmacological, and other treatments. However, evidence was lacking in some areas, such as effective prevention strategies and implementation of recommendations. CONCLUSION: The frailty CPGs vary in quality but have consistent recommendations that can guide clinical practice in primary care. This could point the way for future research to address existing gaps and facilitate the development of trustworthy CPGs for frailty.