Improved Human Age Prediction by Using Gene Expression Profiles From Multiple Tissues

Wang, Fayou; Yang, Jialiang; Lin, Huixin; Li, Qian; Ye, Zixuan; Lu, Qingqing; Chen, Luonan; Tian, Geng

doi:10.3389/fgene.2020.01025

Cited by 16 publications

(13 citation statements)

References 43 publications

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“…This agrees generally with data now available from other species with exceptional longevity [135,136], and from studies of long-versus short-lived individuals within species, including humans [137][138][139][140][141]. Genomic profiling has also proven to be a robust predictor of human aging [142]. However, avian genomics is still in its early stages, with most of the data having been generated within the last five years, since whole-genome sequences have become widely available only recently [143,144].…”

Section: Avian Genomicssupporting

confidence: 85%

New Perspectives on Avian Models for Studies of Basic Aging Processes

Harper

Holmes

2021

Biomedicines

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Avian models have the potential to elucidate basic cellular and molecular mechanisms underlying the slow aging rates and exceptional longevity typical of this group of vertebrates. To date, most studies of avian aging have focused on relatively few of the phenomena now thought to be intrinsic to the aging process, but primarily on responses to oxidative stress and telomere dynamics. But a variety of whole-animal and cell-based approaches to avian aging and stress resistance have been developed—especially the use of primary cell lines and isolated erythrocytes—which permit other processes to be investigated. In this review, we highlight newer studies using these approaches. We also discuss recent research on age-related changes in neural function in birds in the context of sensory changes relevant to homing and navigation, as well as the maintenance of song. More recently, with the advent of “-omic” methodologies, including whole-genome studies, new approaches have gained momentum for investigating the mechanistic basis of aging in birds. Overall, current research suggests that birds exhibit an enhanced resistance to the detrimental effects of oxidative damage and maintain higher than expected levels of cellular function as they age. There is also evidence that genetic signatures associated with cellular defenses, as well as metabolic and immune function, are enhanced in birds but data are still lacking relative to that available from more conventional model organisms. We are optimistic that continued development of avian models in geroscience, especially under controlled laboratory conditions, will provide novel insights into the exceptional longevity of this animal taxon.

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Section: Avian Genomicssupporting

confidence: 85%

New Perspectives on Avian Models for Studies of Basic Aging Processes

Harper

Holmes

2021

Biomedicines

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“…Patients were randomly assigned to either the training cohort (80%) or the validation cohort (20%). The selection of predictive features of the nomogram used the least absolute shrinkage and selection operator (Lasso) regression model ( Sauerbrei et al, 2007 ; Sun et al, 2013 ; Wang et al, 2020 ). A multivariate COX regression analysis was performed on the selected variables, and a nomogram was constructed based on the results of the multivariate COX regression analysis ( P < 0.05).…”

Section: Methodsmentioning

confidence: 99%

Development and Validation of a Nomogram for the Prediction of Hospital Mortality of Patients With Encephalopathy Caused by Microbial Infection: A Retrospective Cohort Study

Zhao

Wang

et al. 2021

Front. Microbiol.

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BackgroundHospital mortality is high for patients with encephalopathy caused by microbial infection. Microbial infections often induce sepsis. The damage to the central nervous system (CNS) is defined as sepsis-associated encephalopathy (SAE). However, the relationship between pathogenic microorganisms and the prognosis of SAE patients is still unclear, especially gut microbiota, and there is no clinical tool to predict hospital mortality for SAE patients. The study aimed to explore the relationship between pathogenic microorganisms and the hospital mortality of SAE patients and develop a nomogram for the prediction of hospital mortality in SAE patients.MethodsThe study is a retrospective cohort study. The lasso regression model was used for data dimension reduction and feature selection. Model of hospital mortality of SAE patients was developed by multivariable Cox regression analysis. Calibration and discrimination were used to assess the performance of the nomogram. Decision curve analysis (DCA) to evaluate the clinical utility of the model.ResultsUnfortunately, the results of our study did not find intestinal infection and microorganisms of the gastrointestinal (such as: Escherichia coli) that are related to the prognosis of SAE. Lasso regression and multivariate Cox regression indicated that factors including respiratory failure, lactate, international normalized ratio (INR), albumin, SpO2, temperature, and renal replacement therapy were significantly correlated with hospital mortality. The AUC of 0.812 under the nomogram was more than that of the Simplified Acute Physiology Score (0.745), indicating excellent discrimination. DCA demonstrated that using the nomogram or including the prognostic signature score status was better than without the nomogram or using the SAPS II at predicting hospital mortality.ConclusionThe prognosis of SAE patients has nothing to do with intestinal and microbial infections. We developed a nomogram that predicts hospital mortality in patients with SAE according to clinical data. The nomogram exhibited excellent discrimination and calibration capacity, favoring its clinical utility.

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“…Aging research proposed critical aging hallmarks that describe common denominators among species, including genomic instability, cellular senescence, and mitochondrial dysfunction [ 2 ]. During aging, genetic damages are accumulated and gene expression patterns are continuously changed [ 17 ]. These alterations are mediated by extracellular chemical/biological stimuli, as well as by intracellular replicative/oxidative stress.…”

Section: Introductionmentioning

confidence: 99%

Effect of Aging on Homeostasis in the Soft Tissue of the Periodontium: A Narrative Review

Kim

Lee

Bae

et al. 2021

JPM

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Aging is characterized by a progressive decline or loss of physiological functions, leading to increased susceptibility to disease or death. Several aging hallmarks, including genomic instability, cellular senescence, and mitochondrial dysfunction, have been suggested, which often lead to the numerous aging disorders. The periodontium, a complex structure surrounding and supporting the teeth, is composed of the gingiva, periodontal ligament, cementum, and alveolar bone. Supportive and protective roles of the periodontium are very critical to sustain life, but the periodontium undergoes morphological and physiological changes with age. In this review, we summarize the current knowledge of molecular and cellular physiological changes in the periodontium, by focusing on soft tissues including gingiva and periodontal ligament.

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Improved Human Age Prediction by Using Gene Expression Profiles From Multiple Tissues

Cited by 16 publications

References 43 publications

New Perspectives on Avian Models for Studies of Basic Aging Processes

New Perspectives on Avian Models for Studies of Basic Aging Processes

Development and Validation of a Nomogram for the Prediction of Hospital Mortality of Patients With Encephalopathy Caused by Microbial Infection: A Retrospective Cohort Study

Effect of Aging on Homeostasis in the Soft Tissue of the Periodontium: A Narrative Review

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