Article
Geosciences, Multidisciplinary
Pieter Vermeesch
Summary: In a recent review, nine methods of estimating the maximum depositional age (MDA) of siliclastic rocks using detrital geochronology were compared, revealing biases in most methods. The Maximum Likelihood Age (MLA) algorithm, based on a binary mixture of distributions, was found to successfully estimate MDA with less bias than ad hoc methods. This approach has potential applications beyond detrital geochronology.
GEOSCIENCE FRONTIERS
(2021)
Article
Astronomy & Astrophysics
Emma R. Beasor, Ben Davies, Nathan Smith, Robert D. Gehrz, Donald F. Figer
Summary: Research found that the bolometric luminosities of Cool Supergiants (CSGs) in the cluster Westerlund 1 (Wd1) are on average lower than predicted, indicating an actual age of 10.4(-1.2)(+1.3) million years, contradicting previous estimates. This suggests that stellar evolutionary models cannot explain Wd1 under the single-age paradigm, and proposes that the stars in the region formed over a period of several megayears.
ASTROPHYSICAL JOURNAL
(2021)
Review
Cardiac & Cardiovascular Systems
Arnold von Eckardstein, Borge G. Nordestgaard, Alan T. Remaley, Alberico L. Catapano
Summary: Previous interest in HDL focused on its role in atherosclerotic cardiovascular disease, but recent studies show that HDL has broader physiological functions and is associated with various diseases.
EUROPEAN HEART JOURNAL
(2023)
Article
Physics, Multidisciplinary
Dominik Michal Falkiewicz, Danuta Makowiec
Summary: Despite its relative simplicity, the bit-string model of biological speciation has not been fully explored. This paper provides an efficient implementation of the model and proves the critical role of recombination in establishing the Darwinian process of purification through theoretical and computer analysis.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Review
Public, Environmental & Occupational Health
Zhe Li, Weiguang Zhang, Yuting Duan, Yue Niu, Yizhi Chen, Xiaomin Liu, Zheyi Dong, Ying Zheng, Xizhao Chen, Zhe Feng, Yong Wang, Delong Zhao, Xuefeng Sun, Guangyan Cai, Hongwei Jiang, Xiangmei Chen
Summary: Biological age (BA) is a model that evaluates the function of aging individuals and provides a more accurate measure of human aging than chronological age (CA). The choice of biomarkers, standards, and statistical methods can influence BA estimation approaches. Traditional methods include MLR, PCA, KDM, and deep learning, and this review summarizes the markers used for each organ/system and the literature on BA research. Future research should focus on exploring new aging markers, standardizing marker selection, and developing new methods for building BA models.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Chemistry, Medicinal
Chao Wang, Lirong Wang, Jilong Wang, Yu-Peng Li, Jun-Sheng Zhang, Peipei Shan, Hua Zhang
Summary: In this study, a range of lanostane-type triterpenoids from the medicinal macro fungus Inonotus obliquus were isolated and their structures were determined. The study also corrected the structures of previously reported compounds and demonstrated significant cytostatic effects against tumor cells. Further investigation revealed the potential anti-proliferative and anti-migratory effects of one compound against breast cancer.
Review
Biochemical Research Methods
Syed Ashiqur Rahman, Peter Giacobbi, Lee Pyles, Charles Mullett, Gianfranco Doretto, Donald A. Adjeroh
Summary: This study examines the application of modern machine learning techniques in biological age estimation, with deep learning offering a new approach for handling complex data. Through deep learning, there is no longer a need for explicit feature engineering, allowing for a better understanding of individual health status.
BRIEFINGS IN BIOINFORMATICS
(2021)
Review
Genetics & Heredity
Jarod Rutledge, Hamilton Oh, Tony Wyss-Coray
Summary: Age is a significant risk factor for diseases and disabilities in the elderly. Efforts to address age-related health issues require measures of biological age and the rate of aging at the molecular level. Recent advances in high-throughput omics technologies have provided tools to quantify aging at the molecular level and identify new biomarkers of biological aging through machine learning.
NATURE REVIEWS GENETICS
(2022)
Article
Biotechnology & Applied Microbiology
Carmela Niederberger, Arthur Vermeersch, Flavia Davidhi, Collin Y. Ewald, George Havenith, Joerg Goldhahn, Can Dincer, Noe Brasier
Summary: This article proposes a sweat-and wearable-based test to determine biological age, which is a real-time, noninvasive, and clinically applicable aging test in humans. This test would enable users to monitor their aging process and actively manage their lifestyle and health.
TRENDS IN BIOTECHNOLOGY
(2023)
Review
Cell Biology
Bohan Zhang, Alexandre Trapp, Csaba Kerepesi, Vadim N. Gladyshev
Summary: There are interventions proposed to reverse aging rather than just slow it down, but the criteria for achieving rejuvenation are still controversial. A key prerequisite for a rejuvenation intervention is a significant reduction in biological age, which can be assessed by biomarkers such as epigenetic clocks.
Article
Computer Science, Interdisciplinary Applications
Karim Armanious, Sherif Abdulatif, Wenbin Shi, Shashank Salian, Thomas Kustner, Daniel Weiskopf, Tobias Hepp, Sergios Gatidis, Bin Yang
Summary: The concept of biological age (BA) is important in clinical practice, but hard to grasp due to the lack of a clearly defined reference standard. This study proposes an imaging-based framework for organ-specific BA estimation, utilizing deep learning networks and data cleaning algorithms to estimate BA and analyze its correlation with cognitive deterioration.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Cell Biology
Anika Mijakovac, Azra Frkatovic, Maja Hanic, Jelena Ivok, Marina Martinic Kavur, Maja Pucic-Bakovic, Tim Spector, Vlatka Zoldos, Massimo Mangino, Gordan Lauc
Summary: Through genetic analysis of the TwinsUK female cohorts, we found that genetic factors have a moderate contribution to the variation of the glycan clock, while unique environmental factors have a minor role and shared environmental factors have a larger contribution. The estimates of genetic factors and unique environmental factors increased when age was included as a covariate.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Clinical Neurology
Sanish Sathyan, Emmeline Ayers, Dristi Adhikari, Tina Gao, Sofiya Milman, Nir Barzilai, Joe Verghese
Summary: Motoric cognitive risk (MCR) syndrome, characterized by slow gait and subjective cognitive concerns, is associated with biological age acceleration. Accelerated aging predicts risk for MCR and is associated with higher mortality in MCR patients.
ANNALS OF NEUROLOGY
(2023)
Review
Cell Biology
Majda Hadziahmetovic, Goldis Malek
Summary: AMD is a neurodegenerative disease of the aging retina, resulting in severe vision loss for patients. Current therapies are limited in effectiveness, and future comprehensive care requires identifying new therapeutic targets and utilizing multiple therapeutic approaches. By examining AMD development and progression, researchers aim to identify disease-related targets and advance therapeutic developments.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Review
Oncology
Lucas W. M. Diebel, Kenneth Rockwood
Summary: Biological age, determined by biophysiological measures, is more accurate at assessing an individual's age-related risk of adverse outcomes. Frailty grading and biomarker measurement are two distinct methods to estimate biological age for clinical purposes. Frailty level predicts susceptibility to adverse outcomes, regardless of chronological age, and emerging biomarkers show potential in identifying accelerated aging before clinical manifestation of frailty.
CURRENT ONCOLOGY REPORTS
(2021)