Mathematical description of aging and mortality is presented. A review of tendencies in modeling is discussed and some difficulties related to adequacy and the ways of information presentation in the models are talked about. A short view is given at the two main modeling techniques in biology, namely the models of data and models of a system. Strategic perspectives of modeling in biogerontology are presented in terms of modeling paradigms. One can speak about a general paradigm consisting of postulates, principles and techniques related to a model, which allows a solving different problems with the same model, if the model can be modified to treat the variety of problems. Modification is to be done in the framework of concepts of the model by using a sum of the methods related to it. It is shown how the homeostatic paradigm can be used to predict a specific human longevity.

Download full-text PDF

Source

Publication Analysis

Top Keywords

[mathematical modeling
4
modeling gerontology--strategic
4
gerontology--strategic perspectives]
4
perspectives] mathematical
4
mathematical description
4
description aging
4
aging mortality
4
mortality presented
4
presented review
4
review tendencies
4

Similar Publications

Background: Distinctive heterogeneity characterizes diffuse large B-cell lymphoma (DLBCL), one of the most frequent types of non-Hodgkin's lymphoma. Mitochondria have been demonstrated to be closely involved in tumorigenesis and progression, particularly in DLBCL.

Objective: The purposes of this study were to identify the prognostic mitochondria-related genes (MRGs) in DLBCL, and to develop a risk model based on MRGs and machine learning algorithms.

View Article and Find Full Text PDF

Structural and Dynamic Assessment of Disease-Causing Mutations for the Carnitine Transporter OCTN2.

Mol Inform

January 2025

Institute of Pharmaceutical and Medicinal Chemistry, University of Münster, Corrensstr. 48, 48149, Muenster, Germany.

Primary carnitine deficiency (PCD) is a rare autosomal recessive genetic disorder caused by missense mutations in the SLC22A5 gene encoding the organic carnitine transporter novel type 2 (OCTN2). This study investigates the structural consequences of PCD-causing mutations, focusing on the N32S variant. Using an alpha-fold model, molecular dynamics simulations reveal altered interactions and dynamics suggesting potential mechanistic changes in carnitine transport.

View Article and Find Full Text PDF

Amnesia is a memory disorder marked by the inability to recall or acquire information. Hence, drugs that also target the neurogenesis process constitute a hope to discover a cure against memory disorders. This study is aimed at evaluating the antiamnesic and neurotrophic effects of the aqueous extract of () on in vivo and in vitro models of excitotoxicity.

View Article and Find Full Text PDF

Inflammatory bowel disease, particularly Crohn's disease (CD), has been linked to modifications in mesenteric adipose tissue (MAT) and the phenomenon known as "creeping fat" (CrF). The presence of CrF is believed to serve as a predictor for early clinical recurrence following surgical intervention in patients with CD. Notably, the incorporation of the mesentery during ileocolic resection for CD has been correlated with a decrease in surgical recurrence, indicating the significant role of MAT in the pathogenesis of CD.

View Article and Find Full Text PDF

Background: Colorectal polyps are commonly observed in patients with chronic liver disease (CLD) and pose a significant clinical concern because of their potential for malignancy.

Aim: To explore the clinical characteristics of colorectal polyps in patients with CLD, a nomogram was established to predict the presence of adenomatous polyps (AP).

Methods: Patients with CLD who underwent colonoscopy at Tianjin Second People's Hospital from January 2020 to May 2023 were evaluated.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!