Predicting the pro-longevity or anti-longevity effect of model organism genes with enhanced Gaussian noise augmentation-based contrastive learning on protein–protein interaction networks DOI Creative Commons
Ibrahim Alsaggaf, Alex A. Freitas, Cen Wan

et al.

NAR Genomics and Bioinformatics, Journal Year: 2024, Volume and Issue: 6(4)

Published: Sept. 28, 2024

Abstract Ageing is a highly complex and important biological process that plays major roles in many diseases. Therefore, it essential to better understand the molecular mechanisms of ageing-related genes. In this work, we proposed novel enhanced Gaussian noise augmentation-based contrastive learning (EGsCL) framework predict pro-longevity or anti-longevity effect four model organisms’ genes by exploiting protein–protein interaction (PPI) networks. The experimental results suggest EGsCL successfully outperformed conventional methods obtained state-of-the-art performance on three predictive tasks when merely relying PPI network data. addition, use 10 pro-/anti-longevity mouse discuss support for these predictions literature.

Language: Английский

The hallmarks of aging as a conceptual framework for health and longevity research DOI Creative Commons
Antonio G. Tartiere, José M.P. Freije, Carlos López‐Otín

et al.

Frontiers in Aging, Journal Year: 2024, Volume and Issue: 5

Published: Jan. 15, 2024

The inexorability of the aging process has sparked curiosity human beings since ancient times. However, despite this interest and extraordinary scientific advances in field, complexity hampered its comprehension. In context, Hallmarks Aging were defined 2013 with aim establishing an organized, systematic integrative view topic, which would serve as a conceptual framework for research. Ten years later promoted by progress area, updated version included three new hallmarks while maintaining original scope. review is to determine what extent achieved purpose that gave rise them. For aim, we have reviewed literature citing any two versions conclude they served not only research but also related areas knowledge. Finally, discusses candidates become part list, analyzing evidence supports whether should or be incorporated.

Language: Английский

Citations

22
Senolytic Therapy Enabled by Senescent Cell‐Sensitive Biomimetic Melanin Nano‐senolytics DOI Creative Commons
Hairui Zhang, Xiaoling Xu, Xin Shou

et al.

Advanced Healthcare Materials, Journal Year: 2024, Volume and Issue: unknown

Published: May 26, 2024

Cellular senescence is a significant risk factor for aging and age-related diseases (ARD). The canonical senolytics Dasatinib Quercetin (DQ) have shown promise in clearing senescent cells (SnCs); however, the lack of selectivity poses challenge achieving optimal outcomes. Despite recent occurrence nanomaterial-based approaches targeting SnCs, limited therapeutic effects, potential toxicity still remain major concern. Herein, "double locks-like" nanoplatform developed that integrated Galactan coating mesoporous polydopamine to encase senolytic drug DQ. By this way, DQ only released SnCs are featured with higher levels β-galactosidase (β-gal) low PH. Additionally, nanoparticles equipped 2,2,6,6-Tetramethylpiperidine-1-oxyl (Tempo) gain enhanced photothermal converting potential. Consequently, synthesized nanosenolytics demonstrate remarkable specificity efficacy eradicating accordingly reverse pulmonary fibrosis mice without affecting normal tissues. Upon exposure near-infrared (NIR) light, efficiently remove tumor inducted by chemotherapy, thereby hindering outgrowth metastasis or breast cancer. Collectively, present study develops an "On/Off" switchable response produces more safe, efficient, feasible way delay alleviate age-associated diseases.

Language: Английский

Citations

6
Xenotopic synthetic biology: Prospective tools for delaying aging and age-related diseases DOI Creative Commons
Andrey A. Parkhitko, Valentin Cracan

Science Advances, Journal Year: 2025, Volume and Issue: 11(13)

Published: March 28, 2025

Metabolic dysregulation represents one of the major driving forces in aging. Although multiple genetic and pharmacological manipulations are known to extend longevity model organisms, aging is a complex trait, targeting one’s own genes may be insufficient prevent age-dependent deterioration. An alternative strategy could use enzymes from other species reverse age-associated metabolic changes. In this review, we discuss set lower organisms that have been shown affect various parameters linked age-related processes. These include modulators steady-state levels amino acids (METase, ASNase, ADI), NADPH/NADP + and/or reduced form coenzyme Q (CoQH 2 )/CoQ redox potentials (NDI1, AOX, Lb NOX, TPNOX, Ec STH, RquA, LOXCAT, Grubraw, ScURA), GSH (StGshF), mitochondrial membrane potential (mtON mito-dR), or reactive oxygen (DAAO KillerRed-SOD1). We propose leveraging non-mammalian an untapped resource can used delay diseases.

Language: Английский

Citations

0
Ultrasound-assisted extraction combined with enzyme hydrolysis enhanced the anti-aging effects and bioactivity of longan flower, mulberry, and roselle: Phytochemical profiling and in vivo C. elegans validation DOI

Kuo‐Ching Jan,

Mohsen Gavahian

Food Bioscience, Journal Year: 2025, Volume and Issue: unknown, P. 106686 - 106686

Published: April 1, 2025

Language: Английский

Citations

0
Unveiling the panorama and emerging boundaries in the field of aging biomarkers DOI Creative Commons
Zhou Sun,

Xingzi Liu,

Dikang Pan

et al.

Asian Journal of Surgery, Journal Year: 2024, Volume and Issue: 47(4), P. 2065 - 2066

Published: Jan. 21, 2024

Language: Английский

Citations

2
Prediction and analysis of anti-aging peptides using machine learning algorithms DOI
Zhiyuan Zhang, Yuanyuan Chen, Guozhong Chen

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 16, 2024

Abstract Background The process of aging is an intrinsic and inevitable aspect life, affecting every organism. Diseases associated with pose a significant challenge to global healthcare system. In recent years, the application peptide therapy in geriatric research, anti-aging peptides have emerged as promising strategy for combating aging. These peptides, their low immunogenicity ease synthesis, hold promise potential therapeutics Consequently, accurate identification discovery more paramount importance. However, date, no computational methods been employed by researchers identify such peptides. Results this study, we innovatively constructed benchmark dataset based on biological functions significance these Subsequently, proposed Antiaging-FL, prediction model feature representation learning machine learning, predict results indicate that Antiaging-FL achieved AUC, ACC, MCC value 1.0, 0.997, 0.995, respectively, AAP400 dataset, 0.99, 0.97, 0.95, test set, demonstrating excellent predictive performance. Conclusions We developed powerful bioinformatics tool, expedite new putative future, could assist related fields provide insights into functional mechanisms while also guiding drug development research.

Language: Английский

Citations

0
Predicting the pro-longevity or anti-longevity effect of model organism genes with enhanced Gaussian noise augmentation-based contrastive learning on protein–protein interaction networks DOI Creative Commons
Ibrahim Alsaggaf, Alex A. Freitas, Cen Wan

et al.

NAR Genomics and Bioinformatics, Journal Year: 2024, Volume and Issue: 6(4)

Published: Sept. 28, 2024

Abstract Ageing is a highly complex and important biological process that plays major roles in many diseases. Therefore, it essential to better understand the molecular mechanisms of ageing-related genes. In this work, we proposed novel enhanced Gaussian noise augmentation-based contrastive learning (EGsCL) framework predict pro-longevity or anti-longevity effect four model organisms’ genes by exploiting protein–protein interaction (PPI) networks. The experimental results suggest EGsCL successfully outperformed conventional methods obtained state-of-the-art performance on three predictive tasks when merely relying PPI network data. addition, use 10 pro-/anti-longevity mouse discuss support for these predictions literature.

Language: Английский

Citations

0