BUFFALO, NY- March 15, 2024 – A new #research paper was #published on the #cover of Aging (listed by MEDLINE/PubMed as "Aging (Albany NY)" and "Aging-US" by Web of Science) Volume 16, Issue 5, entitled, “Genome-wide transcriptome profiling and development of age prediction models in the human brain.”

Aging-related transcriptome changes in various regions of the healthy human brain have been explored in previous works, however, a study to develop prediction models for age based on the expression levels of specific panels of transcripts is lacking. Moreover, studies that have assessed sexually dimorphic gene activities in the aging brain have reported discrepant results, suggesting that additional studies would be advantageous. The prefrontal cortex (PFC) region was previously shown to have a particularly large number of significant transcriptome alterations during healthy aging in a study that compared different regions in the human brain. 

In this new study, researchers Joseph A. Zarrella and Amy Tsurumi from the Harvard T.H. Chan School of Public Health, Massachusetts General Hospital, Harvard Medical School, and Shriner's Hospitals for Children-Boston aimed to profile PFC transcriptome changes during healthy human aging overall and comparing potential differences between female and male samples, as well as developing chronological age prediction models by various methods.

“We harmonized neuropathologically normal PFC transcriptome datasets obtained from the Gene Expression Omnibus (GEO) repository, ranging in age from 21 to 105 years, and found a large number of differentially regulated transcripts in the old and elderly, compared to young samples overall, and compared female and male-specific expression alterations.” 

The team assessed the genes that were associated with age by employing ontology, pathway, and network analyses. Furthermore, they applied various established (least absolute shrinkage and selection operator (Lasso) and Elastic Net (EN)) and recent (eXtreme Gradient Boosting (XGBoost) and Light Gradient Boosting Machine (LightGBM)) machine learning algorithms to develop accurate prediction models for chronological age and validated them. Studies to further validate these models in other large populations and molecular studies to elucidate the potential mechanisms by which the transcripts identified may be related to aging phenotypes would be advantageous.

“Our results support the notions that specific gene expression changes in the PFC are highly correlated with age, that some transcripts show female and male-specific differences, and that machine learning algorithms are useful tools for developing prediction models for age based on transcriptome information.”

DOI - https://doi.org/10.18632/aging.205609

Corresponding author - Amy Tsurumi - atsurumi@mgh.harvard.edu

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About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

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Age Prediction Models in the Human Brain: Genome-wide Transcriptome Profiling and Development

BUFFALO, NY- April 29, 2024 – Oncotarget is a contributing #sponsor at the 19th International p53 Workshop, organized by the International Center for Genetic Engineering and Biotechnology (ICGEB), which takes place from May 13–16, 2024, in Trieste, Italy.

“Groundbreaking research and cutting-edge advancements in the field of the most studied human gene and most frequently mutated gene in cancer, will take center stage at the 19th International p53 Workshop.” – ICGEB.org

Among the 24 invited speakers at the 19th International p53 Workshop, 18 speakers have published new research on p53 in Oncotarget. These distinguished speakers who have published with Oncotarget include Dr. Andrei Gudkov — one of Oncotarget’s founding Editors-in-Chief. Dr. Gudkov will be speaking in the session on “p53 Inflammation and Immunity” and moderating the session on “Targeting p53 in Human Disease.”

“The event will gather leading scientists, clinicians, and researchers from around the world providing a unique opportunity to delve into the latest discoveries and innovations related to TP53 biology and explore the intricate role of TP53 in cancer and its potential for transformative impact in oncology.” – ICGEB.org

About Oncotarget 

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.

Oncotarget is indexed and archived by PubMed/Medline, PubMed Central, Scopus, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

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Oncotarget Sponsors 19th International p53 Workshop in Italy

BUFFALO, NY- April 30, 2024 – A new #researchpaper was #published on the #cover of Aging (listed by MEDLINE/PubMed as "Aging (Albany NY)" and "Aging-US" by Web of Science) Volume 16, Issue 8, entitled, “Senescent characteristics of human corneal endothelial cells upon ultraviolet-A exposure.”

In this new study, researchers Kohsaku Numa, Sandip Kumar Patel, Zhixin A. Zhang, Jordan B. Burton, Akifumi Matsumoto, Jun-Wei B. Hughes, Chie Sotozono, Birgit Schilling, Pierre-Yves Desprez, Judith Campisi (1948-2024), and Koji Kitazawa from Buck Institute for Research on Aging, Kyoto Prefectural University of Medicine, University of Cambridge, and California Pacific Medical Center investigated the senescent phenotypes of human corneal endothelial cells (hCEnCs) upon treatment with ultraviolet (UV)-A.

“We assessed cell morphology, senescence-associated β-galactosidase (SA-β-gal) activity, cell proliferation and expression of senescence markers (p16 and p21) in hCEnCs exposed to UV-A radiation, and senescent hCEnCs induced by ionizing radiation (IR) were used as positive controls.”

The researchers performed RNA sequencing and proteomics analyses to compare gene and protein expression profiles between UV-A- and IR-induced senescent hCEnCs — they also compared the results to non-senescent hCEnCs. Cells exposed to 5 J/cm2 of UV-A or to IR exhibited typical senescent phenotypes, including enlargement, increased SA-β-gal activity, decreased cell proliferation and elevated expression of p16 and p21. RNA-Seq analysis revealed that 83.9% of the genes significantly upregulated and 82.6% of the genes significantly downregulated in UV-A-induced senescent hCEnCs overlapped with the genes regulated in IR-induced senescent hCEnCs. Proteomics also revealed that 93.8% of the proteins significantly upregulated in UV-A-induced senescent hCEnCs overlapped with those induced by IR. In proteomics analyses, senescent hCEnCs induced by UV-A exhibited elevated expression levels of several factors part of the senescence-associated secretory phenotype.

“In this study, where senescence was induced by UV-A, a more physiological stress for hCEnCs compared to IR, we determined that UV-A modulated the expression of many genes and proteins typically altered upon IR treatment, a more conventional method of senescence induction, even though UV-A also modulated specific pathways unrelated to IR.”

DOI - https://doi.org/10.18632/aging.205761

Corresponding author - Koji Kitazawa - kkitazaw@koto.kpu-m.ac.jp

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Aging publishes research papers in all fields of aging research including but not limited, aging from yeast to mammals, cellular senescence, age-related diseases such as cancer and Alzheimer’s diseases and their prevention and treatment, anti-aging strategies and drug development and especially the role of signal transduction pathways such as mTOR in aging and potential approaches to modulate these signaling pathways to extend lifespan. The journal aims to promote treatment of age-related diseases by slowing down aging, validation of anti-aging drugs by treating age-related diseases, prevention of cancer by inhibiting aging. Cancer and COVID-19 are age-related diseases.

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Cover Paper: Senescent Characteristics of Human Corneal Endothelial Cells Upon UV-A Exposure

BUFFALO, NY- May 1, 2024 – A new #researchpaper was #published in Aging (listed by MEDLINE/PubMed as "Aging (Albany NY)" and "Aging-US" by Web of Science) Volume 16, Issue 8, entitled, “A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training.”

The skeletal muscle proteome alterations to aging and resistance training have been reported in prior studies. However, conventional proteomics in skeletal muscle typically yields wide protein abundance ranges that mask the detection of lowly expressed proteins.

In this new study, researchers Michael D. Roberts, Bradley A. Ruple, Joshua S. Godwin, Mason C. McIntosh, Shao-Yung Chen, Nicholas J. Kontos, Anthony Agyin-Birikorang, Max Michel, Daniel L. Plotkin, Madison L. Mattingly, Brooks Mobley, Tim N. Ziegenfuss, Andrew D. Fruge, and Andreas N. Kavazis from Auburn University, Seer, Inc., and The Center for Applied Health Sciences adopted a novel deep proteomics approach whereby myofibril (MyoF) and non-MyoF fractions were separately subjected to protein corona nanoparticle complex formation prior to digestion and Liquid Chromatography Mass Spectrometry (LC-MS). 

“Specifically, we investigated MyoF and non-MyoF proteomic profiles of the vastus lateralis muscle of younger (Y, 22±2 years old; n=5) and middle-aged participants (MA, 56±8 years old; n=6). Additionally, MA muscle was analyzed following eight weeks of resistance training (RT, 2d/week).” 

Across all participants, the number of non-MyoF proteins detected averaged to be 5,645±266 (range: 4,888–5,987) and the number of MyoF proteins detected averaged to be 2,611±326 (range: 1,944–3,101). Differences in the non-MyoF (8.4%) and MyoF (2.5%) proteomes were evident between age cohorts, and most differentially expressed non-MyoF proteins (447/543) were more enriched in MA versus Y. Biological processes in the non-MyoF fraction were predicted to be operative in MA versus Y including increased cellular stress, mRNA splicing, translation elongation, and ubiquitin-mediated proteolysis. RT in MA participants only altered ~0.3% of MyoF and ~1.0% of non-MyoF proteomes. 

“In summary, aging and RT predominantly affect non-contractile proteins in skeletal muscle. Additionally, marginal proteome adaptations with RT suggest more rigorous training may stimulate more robust effects or that RT, regardless of age, subtly alters basal state skeletal muscle protein abundances.”

DOI - https://doi.org/10.18632/aging.205751

Corresponding author - Michael D. Roberts - mdr0024@auburn.edu

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Aging publishes research papers in all fields of aging research including but not limited, aging from yeast to mammals, cellular senescence, age-related diseases such as cancer and Alzheimer’s diseases and their prevention and treatment, anti-aging strategies and drug development and especially the role of signal transduction pathways such as mTOR in aging and potential approaches to modulate these signaling pathways to extend lifespan. The journal aims to promote treatment of age-related diseases by slowing down aging, validation of anti-aging drugs by treating age-related diseases, prevention of cancer by inhibiting aging. Cancer and COVID-19 are age-related diseases.

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Novel Deep Proteomic Approach Unveils Molecular Signatures Affected by Aging and Resistance Training

A traditional, twice-monthly, peer-reviewed, open-access journal covering all areas of research on aging and age-related diseases, including cancer and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome.

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Age Prediction Models in the Human Brain: Genome-wide Transcriptome Profiling and Development

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