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The recent unprecedented progress in ageing research and drug discovery brings together fundamental research and clinical applications to advance the goal of promoting healthy longevity in the human population. We, from the gathering at the Aging Research and Drug Discovery Meeting in 2023, summarised the latest developments in healthspan biotechnology, with a particular emphasis on artificial intelligence (AI), biomarkers and clocks, geroscience, and clinical trials and interventions for healthy longevity. Moreover, we provide an overview of academic research and the biotech industry focused on targeting ageing as the root of age-related diseases to combat multimorbidity and extend healthspan. We propose that the integration of generative AI, cutting-edge biological technology, and longevity medicine is essential for extending the productive and healthy human lifespan.

We present "molecular threading", a surface independent tip-based method for stretching and depositing single and double-stranded DNA molecules. DNA is stretched into air at a liquid-air interface, and can be subsequently deposited onto a dry substrate isolated from solution. The design of an apparatus used for molecular threading is presented, and fluorescence and electron microscopies are used to characterize the angular distribution, straightness, and reproducibility of stretched DNA deposited in arrays onto elastomeric surfaces and thin membranes. Molecular threading demonstrates high straightness and uniformity over length scales from nanometers to micrometers, and represents an alternative to existing DNA deposition and linearization methods. These results point towards scalable and high-throughput precision manipulation of single-molecule polymers.

With the recent advances in electron microscopy (EM), computation, and nanofabrication, the original idea of reading DNA sequence directly from an image can now be tested. One approach is to develop heavy atom labels that can provide the contrast required for EM imaging. While evaluating tentative labels for the respective nucleobases in synthetic oligodeoxynucleotides (oligos), we developed a streamlined CE protocol to assess the label stability, reactivity, and selectivity. We report our protocol using osmium tetroxide 2,2'-bipyridine (Osbipy) as a thymidine (T) specific label. The observed rates show that the labeling process is kinetically independent of both the oligo length, and the base composition. The conditions, i.e. temperature, optimal Osbipy concentration, and molar ratio of reagents, to promote 100% conversion of the starting oligo to labeled product were established. Hence, the optimized conditions developed with the oligos could be leveraged to allow osmylation of effectively all Ts in ssDNA, while achieving minimal mislabeling. In addition, the approach and methods employed here may be adapted to the evaluation of other prospective contrasting agents/labels to facilitate next-generation DNA sequencing by EM., (© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

A major type of unwanted cells that accumulate in aging are anergic cytotoxic T cells. These cells often have virus-specific T cell receptors, as well as other surface markers that distinguish them from their youthful counterparts, and they are thought to play a major role in the decline of the immune system with age. Here we consider two surface markers thought to define these cells in mice, CD8 and Killer cell lectin-like receptor G1 (KLRG1), and a means we developed to remove these cells from the blood of aged C57BL/6 mice. Using antibodies with magnetic nanoparticles linked to their Fc domains, we first developed a method to use magnets to filter out the unwanted cells from the blood and later constructed a device that does this automatically. We demonstrated that this device could reduce the KLRG1-positive CD8 cell count in aged mouse blood by a factor of 7.3 relative to the total CD8 cell compartment, reaching a level typically seen only in very young animals.

Abstract A major driver of aging is catabolic insufficiency, the inability of our bodies to break down certain substances that accumulate slowly throughout the life span. Even though substance buildup is harmless while we are young, by old age the accumulations can reach a toxic threshold and cause disease. This includes some of the most prevalent diseases in old age-atherosclerosis and macular degeneration. Atherosclerosis is associated with the buildup of cholesterol and its oxidized derivatives (particularly 7-ketocholesterol) in the artery wall. Age-related macular degeneration is associated with carotenoid lipofuscin, primarily the pyridinium bisretinoid A2E. Medical bioremediation is the concept of reversing the substance accumulations by using enzymes from foreign species to break down the substances into forms that relieve the disease-related effect. We report on an enzyme discovery project to survey the availability of microorganisms and enzymes with these abilities. We found that such microorganisms and enzymes exist. We identified numerous bacteria having the ability to transform cholesterol and 7-ketocholesterol. Most of these species initiate the breakdown by same reaction mechanism as cholesterol oxidase, and we have used this enzyme directly to reduce the toxicity of 7-ketocholesterol, the major toxic oxysterol, to cultured human cells. We also discovered that soil fungi, plants, and some bacteria possess peroxidase and carotenoid cleavage oxygenase enzymes that effectively destroy with varied degrees of efficiency and selectivity the carotenoid lipofuscin found in macular degeneration.

Currently, the aging research field lacks consensus in its focus and methodology. Foundational principles, such as the evolutionary origins and physiological definition of aging, remain controversial. The aim of this paper is to resolve these issues. By applying the concepts of thermodynamics and information in an evolutionary context, the aging phenotype can be derived from first principles. Life uses information storage to maintain its distance from thermodynamic equilibrium. Since it is impossible to make any process 100% efficient, a selective force (i.e., natural selection) is needed to maintain the information's viability. Natural selection operates upon generations, and for reasons discussed subsequently, the somatic body cannot implement an analogous selective process. The aging phenotype we see can be derived from this model along with a number of insights that will enhance our ability to make intelligent and rational interventions.