Skip to content

Integrated proteomic-transcriptomic profiling identifies NR3C2 up-regulation and a candidate plasma-protein-handling signature in chronic podocyte injury.

Sep 2026 · The FEBS Journal · 0 citations
Medicine

TL;DR

Findings show that the late phase of podocyte-driven CKD involves distributed protein-level remodelling, including an RNA-discordant increase in NR3C2 protein and a candidate plasma-protein-handling signature.

Abstract

The advanced stages of chronic kidney disease (CKD) are difficult to reverse, yet their protein-level pathology remains poorly defined. We analysed the kidney proteome of Pod-TRECK mice, a model of podocyte-driven CKD, at Day 14 and Day 21, representing the progression and late phases, respectively. We then integrated these proteomic data with group-average fold changes from a corresponding time-point transcriptomic dataset generated from separate cohorts of mice using the same model. Although renal function is known to worsen from Day 14 to Day 21 in this model, the bulk-kidney proteome changed only modestly over this interval. Concordance between protein and transcript fold changes also decreased, indicating that late disease progression involves protein-level changes that are not fully reflected by steady-state mRNA abundance. This late-phase signature was distributed across multiple protein groups. NR3C2, the mineralocorticoid receptor, was upregulated at the protein level without a corresponding change in transcript abundance, as further validated by immunohistochemistry. Being the pharmacological target of finerenone, NR3C2 represents a clinically relevant protein-level change that transcriptomic profiling alone would miss. A subset of plasma-derived proteins also accumulated in injured mouse kidneys without matching local transcript induction. A similar pattern was observed in human CKD kidney tissue, while related plasma proteins were reduced in patients with rapid CKD progression. Complement C5 was one prominent member of this candidate plasma-protein-handling signature. Together, these findings show that the late phase of podocyte-driven CKD involves distributed protein-level remodelling, including an RNA-discordant increase in NR3C2 protein and a candidate plasma-protein-handling signature.

View source

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.