Results 51 to 60 of about 112,750 (310)

Circulating Proteomic Signatures of Chronological Age [PDF]

The Journals of Gerontology: Series A, 2014
To elucidate the proteomic features of aging in plasma, the subproteome targeted by the SOMAscan assay was profiled in blood samples from 202 females from the TwinsUK cohort. Findings were replicated in 677 independent individuals from the AddNeuroMed, Alzheimer's Research UK, and Dementia Case Registry cohorts.
Menni C, Kiddle SJ, Mangino M, Viñuela A, Psatha M, Steves C, Sattlecker M, Buil A, Newhouse S, Nelson S, Williams S, Voyle N, Soininen H, Kloszewska I, MECOCCI, Patrizia, Tsolaki M, Vellas B, Lovestone S, Spector TD, Dobson R, Valdes A.M.   +20 more
openaire   +4 more sources

Chronological age determination for adopted children [PDF]

, 2004
This paper has been prepared as a submission to the Queensland Intercountry Adoption Unit regarding policy development for requests to amend a child’s date of birth.
Pedersen, Cec
core  

Correlation between methylation rate and chronological age.

, 2023
Correlation between methylation rate and chronological age for (A) RALYL (cor = 0.52, p TET2 (cor = −0.60, p
Kana Arai (17616184), Miho Inoue-Murayama (64457), Huiyuan Qi (9193833)   +2 more
core   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Reliability of two dental age estimation methods in children and comparison with their chronological age

Saudi Journal for Health Sciences, 2019
Background: Dental age estimation is being performed since Demirjian proposed dental maturity scores. Subsequently, numerous methods were proposed and were estimated worldwide. Although these methods showed high degrees of reliability, ethnic differences
Yasser R Souror, Harshkant P Gharote
doaj   +1 more source

Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer

Aging and Cancer, EarlyView.
Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss, Alexis C. Wardell, Allison M. Deal, Kirsten A. Nyrop, Allison Ross, Yara G. Abdou, Jeffrey D. Aldrich, Lisa A. Cary, E. Claire Dees, Katherine E. Reeder‐Hayes, Emily M. Ray, Natalia Mitin, Denis Tsygankov   +12 more
wiley   +1 more source

Epigenetic Age Acceleration and Chronological Age: Associations With Cognitive Performance in Daily Life [PDF]

Innov Aging
DNA methylation-derived epigenetic clocks offer the opportunity to examine aspects of age acceleration (ie, the difference between an individual's biological age and chronological age), which vary among individuals and may better account for age-related ...
Reid, Kerry, Sliwinski, Martin, Harrington, Karra D., Pasquini, Giancarlo, Zavala, Daisy V., Bernard, Kristin, Gopalan, Shyamalika, Scott, Stacey B., Dzikowski, Natalie, Mogle, Jacqueline, Graham-Engeland, Jennifer E., Veeramah, Krishna, Engeland, Christopher G.   +12 more
europepmc   +2 more sources

Onasemnogene Abeparvovec in Type I Spinal Muscular Atrophy: 24‐Month Follow‐Up From the Italian Registry

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Onasemnogene abeparvovec (OA) is an AAV9‐based gene therapy for spinal muscular atrophy type I (SMA I). Real‐world outcomes show increased response variability compared to clinical trials, and follow‐up data beyond 12–18 months are limited.
Marika Pane, Giorgia Coratti, Chiara Cutrì, Antonio Varone, Riccardo Masson, Adele D'Amico, Valeria Sansone, Sonia Messina, Federica Ricci, Chiara Ticci, Claudio Bruno, Caterina Agosto, Francesca Benedetti, Antonella Pini, Sabrina Siliquini, Massimiliano Filosto, Alberto Zambon, Ilaria Bitetti, Maria Rosaria Manna, Claudia Dosi, Riccardo Zanin, Stefano Parravicini, Roberto De Sanctis, Giulia Stanca, Michela Catteruccia, Michele Tosi, Irene Mizzoni, Emilio Albamonte, Valentina Franchino, Maria Sframeli, Ilaria Cavallina, Elena Procopio, Michele Sacchini, Simone Morando, Noemi Brolatti, Federica Trucco, Gaia Scarpini, Elena Briganti, Beatrice Berti, Concetta Palermo, Daniela Leone, Stefano C. Previtali, Eugenio Mercuri, the ITASMAC working group   +43 more
wiley   +1 more source

Relationship between Phenotypic Age, chronological age, and PhenoAgeAccel.

, 2018
(A) As expected, Phenotypic Age was highly correlated with chronological age, partially due to the fact that it includes chronological age. The red line depicts the expected Phenotypic Age for each chronological age, with points above the line depicting ...
Luigi Ferrucci (150038), Steve Horvath (28847), Eileen Crimmins (371154), Zuyun Liu (5890760), Morgan Levine (521230), Pei-Lun Kuo (6166094)   +5 more
core   +1 more source