A "Gut Feeling" to Create a 10th Hallmark of Aging

Metabolaging: a new geroscience perspective linking aging pathologies and metabolic dysfunction

With age, our metabolic systems undergo significant alterations, which can lead to a cascade of adverse effects that are implicated in both metabolic disorders, such as diabetes, and in the body's ability to respond to acute stress and trauma. To elucidate the metabolic imbalances arising from aging, we introduce the concept of "metabolaging." This framework encompasses the broad spectrum of metabolic disruptions associated with the hallmarks of aging, including the functional decline of key metabolically active organs, like the adipose tissue. By examining how these organs interact with essential nutrient-sensing pathways, "metabolaging" provides a more comprehensive view of the systemic metabolic imbalances that occur with age. This concept extends to understanding how age-related metabolic disturbances can influence the response to acute stressors, like burn injuries, highlighting the interplay between metabolic dysfunction and the ability to handle severe physiological challenges. Finally, we propose potential interventions that hold promise in mitigating the effects of metabolaging and its downstream consequences.

Effect of Probiotic Supplementation on Body Fat, Skeletal Muscle Mass, and Body Mass Index in Individuals ≥45 Years Old: A Systematic Review

BACKGROUND/AIM

Probiotics are living microorganisms that confer health benefits when administered in adequate amounts. Several studies have shown the positive effects on body fat, muscle mass, and body mass index (BMI) in young adults and athletes; however, the results in adults aged ≥45 years are not conclusive.

MATERIALS AND METHODS

A systematic review was conducted in accordance with the PRISMA guidelines, analyzing studies up to December 10, 2024, from nine databases (PubMed, Scopus, Web of Science, LILACS, SciELO, Springer, Redalyc, Cochrane Library and TESIUNAM). Mean differences (MD) were estimated using RevMan V 5.4.1. software.

RESULTS

Six hundred and sixty-six studies were identified, of which 15 met the eligibility criteria. A statistically significant decrease in fat mass (%) was found in two studies and in fat mass (kg) in another two studies. Likewise, one study reported a statistically significant increase in skeletal muscle mass.

CONCLUSION

Probiotic supplementation may have a beneficial effect on reducing body fat mass and increasing or preventing skeletal muscle mass loss in adults ≥45 years old; however, further clinical trials are needed to determine the optimal types, doses, and duration of probiotic treatment for best results.

Gerontologic Biostatistics and Data Science: Aging Research in the Era of Big Data

Introduced in 2010, the subdiscipline of gerontologic biostatistics was conceptualized to address the specific challenges of analyzing data from clinical research studies involving older adults. Since then, the evolving technological landscape has led to a proliferation of advancements in biostatistics and other data sciences that have significantly influenced the practice of gerontologic research, including studies beyond the clinic. Data science is the field at the intersection of statistics and computer science, and although the term "data science" was not widely used in 2010, the field has quickly made palpable effects on gerontologic research. In this Review in Depth, we describe multiple advancements of biostatistics and data science that have been particularly impactful. Moreover, we propose the subdiscipline of "gerontologic biostatistics and data science," which subsumes gerontologic biostatistics into a more encompassing practice. Prominent gerontologic biostatistics and data science advancements that we discuss herein include cutting-edge methods in experimental design and causal inference, adaptations of machine learning, the rigorous quantification of deep phenotypic measurement, and analysis of high-dimensional -omics data. We additionally describe the need for integration of information from multiple studies and propose strategies to foster reproducibility, replicability, and open science. Lastly, we provide information on software resources for gerontologic biostatistics and data science practitioners to apply these approaches to their own work and propose areas where further advancement is needed. The methodological topics reviewed here aim to enhance data-rich research on aging and foster the next generation of gerontologic researchers.

"Post-Protean" Public Health and the Geroscience Hypothesis

Despite unprecedented investments in public health and biomedical research, improvements in life expectancy and healthy life expectancy have stagnated in the United States. Part of the reason for this development can be traced back to the influence of "Protean" over "Post-Protean" public health, the names that can be given to two contrasting visions of public health advanced in the early twentieth century. Protean public health prescribes "waging a war" against disease and was successful in reducing the early-life mortality risks from infectious disease. But Protean public health has proven less effective in improving the quality of life of older persons. Post-Protean public health prioritizes the experimental method and research into the indirect methods of improving health. It articulated a vision of public heath that was given a more concrete specification by Alex Comfort in what is now referred to as the Geroscience Hypothesis. To improve the health prospects of aging populations the dominance of Protean public health must be relaxed, to enable the benefits of Post-Protean public health to be realized. Doing so means shifting public health's aspirations towards increasing the healthspan vs "saving lives" by extending the duration of time older persons can survive by managing the multi-morbidities of late life.

Biological age as estimated by baseline circulating metabolites is associated with incident diabetes and mortality

OBJECTIVES

It is unclear how metabolomic assessment of biological aging performs in non-White populations and whether such an approach can predict future mortality. We aimed to evaluate the application of serum metabolomics combined with machine learning methodologies to predict incident diabetes and mortality in a Thai population.

DESIGN, SETTING AND PARTICIPANTS

We analyzed serum samples and mortality data over 11 years from among 454 participants with no previous history of diabetes and with a fasting plasma glucose ≥85th percentile (5.4 mmol/L) but <7 mmol/L.

MEASUREMENTS

Untargeted serum metabolomics were assessed using liquid chromatography/mass spectrometry. A deep artificial neural network was used to predict biological age based on serum metabolite profiles and chronological age.

RESULTS

The mean age of participants was 40.5 ± 6.4 years, and 70.8% were men. We found a significant positive correlation between metabolomic age and chronological age (r = 0.71, P < 0.001). After 5 years, 61 of 404 participants with available glycated hemoglobin status (15.1%) progressed to diabetes. Chronological age was associated with incident diabetes but was not significant (P = 0.08), after adjusting for BMI and sex. Metabolomic age was significantly related to incident diabetes after controlling for BMI and sex (P < 0.05). Over the 11-year follow-up, 10 participants died owing to non-accidental causes. When metabolomic age and chronological age were included together in the model, metabolomic age (but not chronological age) was associated with mortality, independent of age, sex, and BMI. Among all identifiable metabolites, beta-D-mannosylphosphodecaprenyl and phosphatidylserines were the five leading metabolites associated with mortality.

CONCLUSION

We concluded that serum metabolomic profile was associated with incident diabetes as well as mortality over our 11-year study period, which may render it potentially useful in assessing biological aging in humans.

Reversing and modulating cellular senescence in beta cells, a new field of opportunities to treat diabetes

Diabetes constitutes a world-wide pandemic that requires searching for new treatments to halt its progression. Cellular senescence of pancreatic beta cells has been described as a major contributor to development and worsening of diabetes. The concept of reversibility of cellular senescence is critical as is the timing to take actions against this "dormant" senescent state. The reversal of cellular senescence can be considered as rejuvenation of the specific cell if it returns to the original "healthy state" and doesn't behave aberrantly as seen in some cancer cells. In rodents, treatment with senolytics and senomorphics blunted or prevented disease progression, however their use carry drawbacks. Modulators of cellular senescence is a new area of research that seeks to reverse the senescence. More research in each of these modalities should lead to new treatments to stop diabetes development and progression.