Assessment of health status by molecular measures in adults ranging from middle-aged to old: Ready for clinical use?

Cardiovascular Inflammaging: Mechanisms and Translational Aspects

Aging is one of the major non-reversible risk factors for several chronic diseases, including cancer, type 2 diabetes, dementia, and cardiovascular diseases (CVD), and it is a key cause of multimorbidity, disability, and frailty (decreased physical activity, fatigue, and weight loss). The underlying cellular mechanisms are complex and consist of multifactorial processes, such as telomere shortening, chronic low-grade inflammation, oxidative stress, mitochondrial dysfunction, accumulation of senescent cells, and reduced autophagy. In this review, we focused on the molecular mechanisms and translational aspects of cardiovascular aging-related inflammation, i.e., inflammaging.

Use of a comprehensive frailty assessment to predict morbidity in patients with multiple myeloma undergoing transplant

Multiple myeloma (MM) is a disease of aging adults and autologous stem cell transplant (ASCT) is considered the standard of care. As the population ages a growing number of older adults will undergo ASCT and an objective approach to estimate physiologic reserve and transplant morbidity risk is warranted. Here, we evaluate assess p16INK4a (p16), a molecular aging biomarker, along with geriatric metrics to determine risk of transplant toxicity.

METHODS

We prospectively evaluated 100 MM patients for frailty before and after ASCT using a Geriatric Assessment (GA) and collected T-cells for analysis of p16 using a custom nanostring codeset.

RESULTS

Pre-transplant physical function was predicative of hospital length of stay (LOS). Each one-unit increase in physical function score, the average LOS decreased by 0.52 days (95% CI, -1.03-0.02); p = .04). Similarly, higher self-report of ADL/IADL (Human Activity Profile was associated with shorter LOS (0.65 less days (95% CI -1.15 to -0.15), p = .01). Patients with anxiety/depression (OR = 1.10 (95% CI 1.00-1.22), p = .056), lower handgrip strength (OR = 0.90 (95% CI 0.82-0.98), p = .02), falls (OR = 1.60 (95% CI 1.07-2.38), p = .02), or weight loss (OR = 5.65 (95% CI 1.17-25.24), p = .03) were more likely to be re-admitted. The estimated EFS at 1-year was 85% (95% CI, 75-91) with median follow-up of 15.7 months. Weight loss was a significant predictor of EFS (HR = 3.13 (95% CI 1.15-8.50), p = .03). Frailty assessment by self-reported fatigue minimally correlated with T-cell p16 expression (r = 0.28; p = .02). Age, Karnofsky Performance Status (KPS), or Hematopoietic cell transplantation-specific Co-Morbidity Index (HCT-CI) did not predict hospital LOS or readmissions.

CONCLUSIONS

Our data illustrate that a GA can identify individuals with MM who are at greater risk for morbidity following ASCT.

Exceptional Human Longevity

Exceptional longevity represents an extreme phenotype. Current centenarians are survivors of a cohort who display delayed onset of age-related diseases and/or resistance to otherwise lethal illnesses occurring earlier in life. Characteristics of aging are heterogeneous, even among long-lived individuals. Associations between specific clinical or genetic biomarkers exist, but there is unlikely to be a single biomarker predictive of long life. Careful observations in the oldest old offer some empirical strategies that favor increased health span and life span, with implications for compression of disability, identification and implementation of lifestyle behaviors that promote independence, identification and measurement of more reliable markers associated with longevity, better guidance for appropriate health screenings, and promotion of anticipatory health discussions in the setting of more accurate prognostication. Comprehensive PubMed literature searches were performed, with an unbiased focus on mechanisms of longevity. Overall, the aggregate literature supports that the basis for exceptional longevity is multifactorial and involves disparate combinations of genes, environment, resiliency, and chance, all of which are influenced by culture and geography.

Assessing inflammageing

PURPOSE OF REVIEW

Immunosenescence has been scrutinized in detail, and evidence that inflammation and ageing are interrelated is consistent. Still, a gold standard for assessing the biological age of the immune function in an individual patient is lacking, so that immunosenescence is still not a quantifiable criterion in clinical decision-making processes.

RECENT FINDINGS

This review highlights recent (partly ongoing) studies into biomarkers of inflammation to assess immunosenescence, including large-scale studies, and quotes expert opinion statements. Markers of basal inflammation frequently used include interleukin-6, tumor necrosis factor-α and receptors p55 and p75, C-reactive protein and cytomegalovirus antibody levels. Some cellular markers are particularly advocated to reflect age-related decay of specific immunity, namely the decrease of naive T cells, especially CD8cells, and accumulations of memory T cells, especially late-stage differentiated CD8 cells; the loss of CD28 on lymphocytes is also taken as a biomarker of immunosenescence.

SUMMARY

Substantial progress has been made in both understanding and phenotyping immunosenescence and inflammageing. The diagnosis of the degree of immunosenescence in the individual patient, however, has not yet been standardized.