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 物理 光学
作者
Krutika Patidar,Ashlee N. Ford Versypt
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
aikeyan完成签到,获得积分10
刚刚
我是老大应助L山间葱采纳,获得10
1秒前
1秒前
波风水门pxf完成签到,获得积分10
1秒前
小俊完成签到,获得积分10
2秒前
悬夜完成签到,获得积分10
2秒前
3秒前
狗不理发布了新的文献求助10
3秒前
edtaa发布了新的文献求助10
3秒前
3秒前
lewis17发布了新的文献求助10
4秒前
sens发布了新的文献求助10
4秒前
DamonChen完成签到,获得积分10
4秒前
NexusExplorer应助Lawenced采纳,获得10
4秒前
4秒前
WuLujie发布了新的文献求助10
4秒前
不做Aspirin完成签到 ,获得积分10
4秒前
mylove应助morry5007采纳,获得10
5秒前
隐形曼青应助Aurora采纳,获得10
5秒前
从容问雁发布了新的文献求助10
5秒前
5秒前
woshiwuziq完成签到 ,获得积分10
5秒前
SciGPT应助健忘的自行车采纳,获得20
6秒前
QWE发布了新的文献求助10
7秒前
7秒前
7秒前
8秒前
我是老大应助白苹果采纳,获得10
8秒前
Jackxu发布了新的文献求助10
8秒前
8秒前
Linda发布了新的文献求助30
8秒前
liuttinn完成签到,获得积分10
8秒前
所所应助刘丰铭采纳,获得10
9秒前
9秒前
9秒前
9秒前
能干冰露发布了新的文献求助10
9秒前
脑洞疼应助王则华采纳,获得10
9秒前
Leon发布了新的文献求助20
11秒前
12秒前
高分求助中
(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
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5608504
求助须知:如何正确求助?哪些是违规求助? 4693127
关于积分的说明 14876947
捐赠科研通 4717761
什么是DOI,文献DOI怎么找? 2544250
邀请新用户注册赠送积分活动 1509316
关于科研通互助平台的介绍 1472836