The journals of gerontology. Series A, Biological sciences and medical sciences最新文献

Background: Frailty, defined as diminished physiological and functional reserve, is linked to negative health outcomes such as falls, fractures, and disability. Physical activity dose plays a significant role in preventing and reducing physical frailty, but the influence of different PA variables on deficit accumulation (ie, frailty index [FI]) is not fully understood. Thus, we examined the relationship between physical activity variables and FI among older adults.

Methods: We utilized Round 11 (2021) data from the National Health and Aging Trends Study, a longitudinal study of Medicare beneficiaries aged 65 and older in the United States. Our participants included 726 community-dwelling older adults who had at least 3 valid days of accelerometer data and all data needed to calculate FI. Demographic variables, health conditions, and physical function were assessed through standardized interviews and objective assessments. We completed regression and Poisson models to estimate FI value and prevalence ratios for frailty.

Results: Participants spent 339 daily minutes performing physical activity. The activity was accumulated over 88 bouts averaging 3.8 minutes. Those with frailty have lower levels of activity, higher levels of non-activity and sleep, higher activity fragmentation, fewer bouts, shorter bouts, and lower intensity over 10 consecutive minutes (ps < .001). After adjusting for all activity metrics, activity fragmentation (B = 1.32) and intensity of the most active 10-minute bout (B= -0.46) remained significantly associated with FI (P ≤ .04).

Conclusions: Low-intensity and fragmented physical activity is linked to frailty. Further research should explore the role of sustained activity and fragmentation in monitoring and guiding interventions for frailty.

Background: Little is known about how psychosocial factors and geriatric conditions contribute to persistent post-COVID symptoms among older adults. We evaluated symptom burden following COVID-19 hospitalization and identified risk factors for persistent symptoms among -community-dwelling older adults.

Methods: This prospective study recruited 281 older persons (mean age 70.6 years) hospitalized for SARS-CoV-2 infection between June 2020 and June 2021 from Yale-New Haven Health System. Post-COVID symptoms were assessed using a modified Edmonton Symptom Assessment System during hospitalization, and at 1, 3, and 6 months post-discharge. Trajectory analysis identified three symptom trajectories. Multinomial logistic regression evaluated associations between characteristics (sociodemographic, clinical, psychosocial factors, and geriatric conditions) obtained during hospitalization and trajectory membership.

Results: Three symptom burden trajectory groups were identified: low (n = 70; 24.9%; reference); moderate (n = 149; 53.0%); and high (62; 22.1%). Female sex (adjusted odds ratio (adjOR)_moderate = 3.10 [95% CI = 1.68-5.72]; adjOR_high = 5.76 [2.70-12.27]), higher depression/anxiety (adjOR_moderate = 1.47 [1.24-1.74]; adjOR_high = 1.72 [1.43-2.07]), and less social support (adjOR_moderate = 0.91 [0.83, 0.99]; adjOR_high = 0.86 [0.78-0.95]) were associated with moderate and high symptom burden. Geriatric conditions, including delirium (adjOR_high = 7.74 [1.56-38.26]), frailty (adjOR_high = 5.26 [1.77-15.68]), impairment of physical function (adjOR_high = 1.18 [1.00-1.40]), and vision impairment (adjOR_high = 4.63 [1.33-16.11]), were associated with high symptom burden.

Conclusions: In older persons hospitalized with COVID-19, female sex, psychosocial factors, and geriatric conditions were associated with higher symptom burden over six months. Future work should investigate the biopsychosocial mechanisms through which psychosocial factors and geriatric conditions contribute to post-COVID symptom burden.

Background: Whether the differing mechanistic effects between angiotensin-2 receptor blockers (ARBs) and angiotensin-converting enzyme inhibitors (ACEIs) on the renin-angiotensin system translate to differential effects on clinical cognitive outcomes is unclear.

Methods: We employed an active comparator, new-user cohort study to emulate a target trial evaluating the per-protocol effect of initiating and continuously adhering to an ARB versus ACEI on adjudicated amnestic mild cognitive impairment (MCI) and probable dementia (PD) in the Systolic Blood Pressure Intervention Trial (SPRINT). Inverse probability of treatment and censoring weighted cumulative incidence functions accounted for confounding, the competing risk of death, adherence, and loss to follow-up.

Results: Of 9,361 SPRINT participants (mean age 67.1 ± 9.5 years, 36.7% female, 58.7% non-Hispanic White), 710 and 1,289 were new users of an ARB or ACEI. Overall, 291 (41.0%) ARB initiators and 854 (66.3%) ACEI initiators were nonadherent during follow-up. The IP-weighted 4-year probabilities of full adherence and being alive among ARB was 56.0% (95% CI: 52.2%-59.9%) and 30.5% (95% CI: 28.0%-33.1%) for ACEI. The 4-year weighted risk ratios (RR) for amnestic MCI/PD and for amnestic MCI/PD/death with initiation and full adherence to ARB versus ACEI were 0.94 (95% CI: 0.66-1.29) and 0.79 (95% CI: 0.58-1.06). The weighted 4-year weighted RR for all-cause death with ARB versus ACEI initiation and adherence was 0.36 (95% CI: 0.14-0.76).

Conclusions: In this target trial emulation of older adults at high risk for cardiovascular disease, there was insufficient evidence to conclude a beneficial effect of initiating and continuously adhering to an ARB versus ACEI on adjudicated clinical cognitive outcomes.

The African turquoise killifish Nothobranchius furzeri represents an emerging short-lived vertebrate model for aging research. Captive strains of this species are characterized by large differences in lifespan. To identify gene expression correlates of this lifespan differences, we analyzed a public transcriptomic dataset comprising 4 different tissues in addition to embryos. We focused on the GRZ and the MZM0410 captive strains, which show a near twofold difference in lifespan, but similar growth- and maturation-rates and validated the results in a newly generated dataset from a third longer-lived strain. The 2 strains show distinct transcriptome expression patterns already as embryos and the genotype has a larger effect than age on gene expression, both in terms of number of differentially expressed genes and magnitude of regulation. Network analysis detected RNA processing and histone modifications as the most prominent categories upregulated in GRZ. This strain also showed idiosyncratic expression patterns, such as high expression of DND is somatic tissues and transcriptional aging signatures already at sexual maturity (anticipated aging) in all 4 tissues, suggesting that short lifespan is the results of events that occur early in life rather than the progressive accumulation of strain-dependent differences. The GRZ strain is the most commonly used N furzeri strain in intervention studies and our results warrant replication of at least key findings in longer-lived strains.

Background: To investigate the potential role of lactate in the relationship between periodontitis and biological aging.

Methods: Cross-sectional data from 9 652 participants in the National Health and Nutrition Examination Survey 2009-2014 were analyzed. Periodontitis was categorized based on the Centers for Disease Control and Prevention and American Academy of Periodontology (CDC/AAP) classification. Biological aging was assessed based on KDM-BA acceleration and PhenoAge acceleration, while lactate levels were assessed using lactate dehydrogenase (LDH). Weighted multivariable linear regression analyses were conducted to examine the association between periodontitis and biological aging. Additionally, exploratory mediation analyses were carried out to determine the mediating effect of LDH on this association.

Results: Participants with moderate/severe periodontitis showed accelerated biological aging and higher serum LDH levels. Similarly, mean attachment loss (AL) and probing pocket depth (PPD) were positively associated with biological aging and serum LDH levels. Furthermore, serum LDH was found to mediate 8.4% and 3.8% of the associations between periodontitis and KDM-BA acceleration and PhenoAge acceleration, respectively. LDH also explained 11.0% and 4.4% of the association between mean PPD and KDM-BA acceleration and PhenoAge acceleration, respectively. However, the role of LDH in the relationship between mean AL and biological aging was not observed.

Conclusions: These findings indicate that LDH, an enzyme that converts pyruvate to lactate, mediates the association between periodontitis and biological aging. However, additional longitudinal or interventional studies are needed to more effectively assess causality and confirm our findings.

Background: As the global population ages healthcare challenges are escalating. Frailty, a clinical syndrome characterized by decreased reserve and resilience to stressors, is critically linked to adverse health outcomes in older adults. However, artificial intelligence (AI)-driven technologies offer promising solutions for revolutionizing older individuals care and enhancing senior health and independence.

Objective: This paper explores how AI-driven technologies, including wearables, nonwearable devices, and wireless systems, are transforming senior care. These innovations enable continuous health monitoring, fall detection, medication adherence, and cognitive assistance.

Recent findings: Recent advancements in sensor technology, machine learning/AI algorithms, and user interface design have made these technologies more effective and accessible to older adults. Key benefits include early health issue detection, improved medication adherence, reduced hospitalizations, extended independent living, and improved quality of life. Privacy concerns, ease of use, and technology adoption are challenges that must be addressed.

Conclusion: Thoughtfully designed AI wearables and supportive policies and infrastructure can significantly enhance seniors' quality of life while reducing caregiver burden and healthcare costs. As technology advances, AI-driven solutions across wearable, nonwearable, and wireless devices are set to become indispensable in global strategies for healthy aging.

Background: Epigenetic aging measures have promise as surrogate health outcomes in randomized control trials and observational cohort studies. The value of these measures, however, will reflect the extent to which they are associated with prospective health outcomes in real-world medical settings.

Methods: Using data from 2 216 post-9/11 veterans from the VISN 6 MIRECC's Post-Deployment Mental Health Study, we examined whether accelerated epigenetic aging, assessed by DunedinPACE, was associated with prospective chronic disease morbidity, predicted healthcare costs, and mortality over an average of 13.1 years of electronic health record follow-up.

Results: Veterans with faster DunedinPACE aging scores developed more chronic disease over the subsequent 5 years (RR, 1.25; 95% CI, 1.14-1.36), 10 years (RR, 1.31; 95% CI, 1.21-1.40), and 15 years (RR, 1.36; 95% CI, 1.22-1.52). Faster aging scores were also associated with increases in predicted healthcare costs over the next 5 years (β = 0.08; 95% CI, 0.03-0.13), 10 years (β = 0.23, 95% CI, 0.15-0.31), and 15 years (β = 0.21; 95% CI, 0.11-0.30). Faster DunedinPACE aging scores were associated with greater risk for incident myocardial infarction (84%), stroke (38%), diabetes (56%), cancer (25%), liver disease (44%), and renal disease (34%), as well as greater risk of mortality due to all-causes (38%) and chronic disease (74%). These results remained when adjusting for demographic, biomarker, and smoking covariates.

Conclusions: Our findings suggest DunedinPACE is a biomarker of accelerated aging that is prospectively associated with chronic disease morbidity and mortality, as assessed using health records from an integrated healthcare system.

Rapamycin has demonstrated significant lifespan-extending effects across a variety of model organisms, positioning it as one of the most promising antiaging agents currently under investigation. Nonetheless, chronic administration of rapamycin may induce diverse adverse reactions, primarily due to its influence on energy metabolism. Here, using Drosophila melanogaster as a model, we show that rapamycin significantly alters feeding behaviors in a dose-dependent manner. Specifically, both long-term and short-term administration of the optimal life-extending dose of rapamycin decreases the protein preference while increasing sugar intake in female flies. Utilizing a chemically defined diet, we identified that these alterations in amino acid and sugar feeding preferences occur as early as the second day of rapamycin exposure, preceding any detectable decline in fecundity. Furthermore, rapamycin also modifies amino acid preference even in taste-blind females, indicating that postingestive nutritional learning mechanisms, independent of food taste value, are sufficient to mediate the effects of rapamycin on feeding behavior. However, such changes in macronutrient preferences were absent in males and sterile mutant females. Collectively, our study suggests that the modification of feeding behavior could be a non-negligible side effect of rapamycin treatment, and this effect is influenced by both sex and reproductive status.

The aging of the population is a global concern. In the post-coronavirus disease 2019 (COVID-19) pandemic era, there are no effective methods to identify aging acceleration due to infection. In this study, we conducted whole-transcriptome sequencing on peripheral blood samples from 35 healthy individuals (22-88 years old). By analyzing the changes in mRNA, lncRNA, and miRNA expression, we investigated the characteristics of transcriptome alterations during the aging process. ceRNA networks were constructed, and 10 genes (CD248, PHGDH, SFXN2, MXRA8, NOG, TTC24, PHYKPL, CACHD1, BPGM, and TWF1) were identified as potential aging markers and used to construct an aging clock. Moreover, our aging clock categorized individuals into slow-, average-, and quick-aging groups, highlighting a link between accelerated aging and infection-related clinical parameters. Pseudotime analysis further revealed 2 distinct aging trajectories, corroborating the variations in the aging rate identified by the aging clock. Furthermore, we validated the results using the OEP001041 data set (277 healthy individuals aged 17-75), and data sets comprising patients with infectious diseases (n = 1 558). Our study revealed that infection accelerates aging via increased inflammation and oxidative stress in infectious disease patients. Besides, the aging clock exhibited alterations after infection, highlighting its potential for assessing the aging rate after patient recovery. In conclusion, our study introduces a novel aging clock to assess the aging rate in healthy individuals and those with infections, revealing a strong link between accelerated aging and infections through inflammation and oxidative stress. These findings offer valuable insights into aging mechanisms and potential strategies for healthy aging.

Aging is a complex process influenced by mechanisms operating at numerous levels of functioning. Multiple biomarkers of age have been identified, yet we know little about how the different alternative age indicators are intertwined. In the Berlin Aging Study II (nmin = 328; nmax = 1 517, women = 51%; 14.27 years of education), we examined how levels and 7-year changes in indicators derived from blood assays, magnetic resonance imaging brain scans, other-ratings, and self-reports converge among older adults. We included 8 epigenetic biomarkers (incl. 5 epigenetic "clocks"), a BioAge composite from clinical laboratory parameters, brain age, skin age, subjective age, subjective life expectancy, and subjective health horizon. We found moderate associations within aging domains, both cross-sectionally and longitudinally over 7 years. However, associations across different domains were infrequent and modest. Notably, participants with older BioAge had correspondingly older epigenetic ages. Our results suggest that different aging clocks are only loosely interconnected and that more specific measures are needed to differentiate healthy from unhealthy aging.