Results 41 to 50 of about 5,585,158 (308)

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

The role of cervical vertebrae maturation in defining the chronological age of Down syndrome children

open access: yesDental Journal, 2017
Background: The difficulty of determining chronological age is increased in individuals with conditions that may affect normal development. Some systemic conditions in children, for example Down syndrome, may cause abnormal physiological maturation ...
Aggiani Dewi Rahmawati   +2 more
doaj   +1 more source

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

open access: yesFEBS 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

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

open access: yesSaudi 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

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS 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   +5 more
wiley   +1 more source

Relationship between Phenotypic Age, chronological age, and PhenoAgeAccel.

open access: yes, 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)   +5 more
core   +1 more source

The microbiome in human skin aging

open access: yesFEBS Letters, EarlyView.
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana   +3 more
wiley   +1 more source

Assessment of the relationship between body mass index, dental age, chronological age, and skeletal maturity among 6–12-year children in Pune, India

open access: yesJournal of Indian Society of Pedodontics and Preventive Dentistry
Context: Growth and development in children are influenced by various factors, including genetic, environmental, and nutritional aspects. Assessing a child’s development is critical for pediatric care, particularly in understanding their dental, skeletal,
Rahul J. Hegde   +3 more
doaj   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

open access: yesMolecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park   +6 more
wiley   +1 more source

Replicative and Chronological Aging in Saccharomyces cerevisiae [PDF]

open access: yesCell Metabolism, 2012
Saccharomyces cerevisiae has directly or indirectly contributed to the identification of arguably more mammalian genes that affect aging than any other model organism. Aging in yeast is assayed primarily by measurement of replicative or chronological life span. Here, we review the genes and mechanisms implicated in these two aging model systems and key
Longo, Valter D.   +3 more
openaire   +2 more sources

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