Logic-Based Modeling of Inflammatory Macrophage Crosstalk with Glomerular Endothelial Cells in Diabetic Kidney Disease

炎症 肾脏疾病 生物 串扰 糖尿病 癌症研究 细胞生物学 免疫学 内分泌学 光学 物理
作者
Krutika Patidar,Ashlee N. Ford Versypt
出处
期刊: [Cold Spring Harbor Laboratory]
被引量:3
标识
DOI:10.1101/2023.04.04.535594
摘要

Diabetic kidney disease is a complication in 1 out of 3 patients with diabetes. Aberrant glucose metabolism in diabetes leads to an immune response causing inflammation and to structural and functional damage in the glomerular cells of the kidney. Complex cellular signaling lies at the core of metabolic and functional derangement. Unfortunately, the mechanism underlying the role of inflammation in glomerular endothelial cell dysfunction during diabetic kidney disease is not fully understood. Computational models in systems biology allow the integration of experimental evidence and cellular signaling networks to understand mechanisms involved in disease progression. We built a logic-based ordinary differential equations model to study macrophage-dependent inflammation in glomerular endothelial cells during diabetic kidney disease progression. We studied the crosstalk between macrophages and glomerular endothelial cells in the kidney using a protein signaling network stimulated with glucose and lipopolysaccharide. The network and model were built using the open-source software package Netflux. This modeling approach overcomes the complexity of studying network models and the need for extensive mechanistic details. The model simulations were fitted and validated against available biochemical data from in vitro experiments. The model identified mechanisms responsible for dysregulated signaling in macrophages and glomerular endothelial cells during diabetic kidney disease. In addition, we investigated the influence of signaling interactions and species that on glomerular endothelial cell morphology through selective knockdown and downregulation. We found that partial knockdown of VEGF receptor 1, PLC-γ, adherens junction proteins, and calcium partially recovered the endothelial cell fenestration size. Our model findings contribute to understanding signaling and molecular perturbations that affect the glomerular endothelial cells in the early stage of diabetic kidney disease.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
叶子发布了新的文献求助10
刚刚
1秒前
研友_7Ze1VZ发布了新的文献求助10
1秒前
wanci应助高高采纳,获得10
1秒前
2秒前
小机灵完成签到,获得积分10
3秒前
汉堡包应助追梦小帅采纳,获得10
3秒前
4秒前
小小的梦想完成签到,获得积分10
4秒前
丘比特应助tangyunfeng采纳,获得10
4秒前
5秒前
OK关闭了OK文献求助
7秒前
开朗平松完成签到 ,获得积分10
7秒前
虚心夏彤发布了新的文献求助30
7秒前
俊逸的平卉完成签到 ,获得积分10
7秒前
8秒前
研友_7Ze1VZ完成签到,获得积分10
9秒前
Janus发布了新的文献求助10
9秒前
小胖子发布了新的文献求助30
10秒前
科研通AI6.2应助郭盾采纳,获得10
10秒前
情怀应助化学废材采纳,获得10
12秒前
13秒前
Tigher发布了新的文献求助10
14秒前
Akim应助摇阿瑶采纳,获得10
15秒前
虚心夏彤完成签到,获得积分10
16秒前
16秒前
18秒前
qing完成签到,获得积分10
18秒前
共享精神应助delll采纳,获得10
18秒前
科研通AI6.3应助乌拉挂机采纳,获得10
19秒前
木子发布了新的文献求助10
19秒前
西蓝花战士完成签到 ,获得积分10
20秒前
传奇3应助Cara采纳,获得10
20秒前
21秒前
花海发布了新的文献求助20
22秒前
初景发布了新的文献求助30
22秒前
李莫愁发布了新的文献求助10
22秒前
yy发布了新的文献求助10
22秒前
涛神完成签到,获得积分10
24秒前
wyy发布了新的文献求助10
25秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7577542
求助须知:如何正确求助?哪些是违规求助? 9157320
关于积分的说明 19591056
捐赠科研通 7161423
什么是DOI,文献DOI怎么找? 3265387
关于科研通互助平台的介绍 2430299
邀请新用户注册赠送积分活动 2256069