A mathematical model of glomerular fibrosis in diabetic kidney disease to predict therapeutic efficacy

Using the mathematical model, a mechanistic understanding of disease etiology and complexity of glomerular fibrosis in diabetes was illuminated, and then hypothesis-driven explanations for the lack of efficacy of different pharmacological agents for treating glomerular fibrosis were provided. This understanding can enable the development of more efficacious therapeutics for treating kidney damage in diabetes.

Authors

Institutions

Publication Details

Journal
Frontiers in Pharmacology
Published
2024-10-25
DOI
https://doi.org/10.3389/fphar.2024.1481768
Citations
3
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
1.02

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A mathematical model of glomerular fibrosis in diabetic kidney disease to predict therapeutic efficacy

Haryana Y. Thomas, Ashlee N. Ford Versypt
3 citations
Frontiers in Pharmacology
Chronic Kidney Disease and Diabetes
1.02
article

A mathematical model of glomerular fibrosis in diabetic kidney disease to predict therapeutic efficacy

Haryana Y. Thomas, Ashlee N. Ford Versypt
article en
3 citations

Abstract

Using the mathematical model, a mechanistic understanding of disease etiology and complexity of glomerular fibrosis in diabetes was illuminated, and then hypothesis-driven explanations for the lack of efficacy of different pharmacological agents for treating glomerular fibrosis were provided. This understanding can enable the development of more efficacious therapeutics for treating kidney damage in diabetes.

Frontiers in PharmacologyVol. 15
University at Buffalo, State University of New York (US)
National Science Foundation, University at Buffalo
Openalex Percentile: Top 21%
Chronic Kidney Disease and Diabetes
1.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.