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Many models of aging assume that processes such as cellular senescence or epigenetic alteration occur under sterile conditions. However, humans sustain infection with viral, bacterial, fungal, and parasite pathogens across the course of a lifetime, many of which are capable of long-term persistence in host tissue and nerves. These pathogens-especially members of the human virome like herpesviruses, as well as intracellular bacteria and parasites-express proteins and metabolites capable of interfering with host immune signaling, mitochondrial function, gene expression, and the epigenetic environment. This paper reviews these and other key mechanisms by which infectious agents can accelerate features of human aging. This includes hijacking of host mitochondria to gain replication substrates, or the expression of proteins that distort the signaling of host longevity-regulating pathways. We further delineate mechanisms by which pathogen activity contributes to age-related disease development: for example, Alzheimer's amyloid-β plaque can act as an antimicrobial peptide that forms in response to infection. Overall, because many pathogens dysregulate mTOR, AMPK, or related immunometabolic signaling, healthspan interventions such as low-dose rapamycin, metformin, glutathione, and NAD+ may exert part of their effect by controlling persistent infection. The lack of diagnostics capable of detecting tissue-resident pathogen activity remains a critical bottleneck. Emerging tools-such as ultrasensitive protein assays, cfRNA metagenomics, and immune repertoire profiling-may enable integration of pathogen detection into biological age tracking. Incorporating infection into aging models is essential to more accurately characterize drivers of senescence and to optimize therapeutic strategies that target both host and microbial contributors to aging.
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http://dx.doi.org/10.1016/j.arr.2025.102865 | DOI Listing |
Mol Divers
September 2025
Department of Biotechnology, National Institute of Technology Raipur, Raipur, Chhattisgarh, 492001, India.
Traditional drug discovery methods like high-throughput screening and molecular docking are slow and costly. This study introduces a machine learning framework to predict bioactivity (pIC₅₀) and identify key molecular properties and structural features for targeting Trypanothione reductase (TR), Protein kinase C theta (PKC-θ), and Cannabinoid receptor 1 (CB1) using data from the ChEMBL database. Molecular fingerprints, generated via PaDEL-Descriptor and RDKit, encoded structural features as binary vectors.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Department of Water Resources Study and Research, Water Research Institute, Tehran, Iran.
Small glaciers situated in high mountainous areas are experiencing notable declines, characterized by unprecedented rates of ice loss in recent years. This study investigates the recent changes in surface elevation and mass loss occurring between 2010 and 2023 within the Alamkouh Glacier over three subperiods, one of the biggest glaciers in Iran and the Middle East. These assessments are derived from a combination of high-resolution LiDAR data in 2010 (with a spatial resolution of 20 cm) and multi-temporal surveys conducted using unmanned aerial vehicles (UAVs) in 2018, 2020, and 2023 (with spatial resolutions varied from 10 to 20 cm).
View Article and Find Full Text PDFPest Manag Sci
September 2025
College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, China.
Background: Peroxisomes are essential for the metabolism of very long-chain fatty acids (VLCFAs). Their biogenesis requires peroxins encoded by the PEX genes. While the significance of PEX14 has been established in the major rice pest the brown planthopper (Nilaparvata lugens), the role of PEX16 as a peroxisome biogenesis initiator remains uncharacterized in this pest.
View Article and Find Full Text PDFInt J Cosmet Sci
September 2025
Smart Foods and Bioproducts, AgResearch, Lincoln, New Zealand.
Objective: This study investigated the locations of amino acid modifications within two major human hair keratins (Type I K31 and Type II K85) with probable implications for protein and hair structural component integrity. The particular focus was on cysteine modifications that disrupt intra-protein and inter-protein disulphide bonds.
Methods: Human hair was exposed to accelerated, sequential heat or UV treatments, simulating effects resulting from the use of heated styling tools and environmental exposure over a time frame approximating one year.
Synth Biol (Oxf)
August 2025
Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, United States.
Modular cloning systems streamline laboratory workflows by consolidating genetic 'parts' into reusable and modular collections, enabling researchers to fast-track strain construction. The GoldenBraid 2.0 modular cloning system utilizes the cutting property of type IIS restriction enzymes to create defined genetic 'grammars', which facilitate the reuse of standardized genetic parts and assembly of genetic parts in the right order.
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