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March 23, 2023Open Access

Identifying Key Genes for Diabetic Kidney Disease by Bioinformatics Analysis

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Why the study?

There are no reliable molecular targets for early diagnosis and effective treatment in the clinical management of diabetic kidney disease.

Population

Public transcriptomic datasets of alloxan-induced and streptozotocin-induced DKD models, validated in db/db DKD mice

Comparison

DKD models vs control animals

Design

Integrative bioinformatic analysis and preclinical validation study

Authors

YXYushan XuLLLan LiPTPing Tang

Discussion

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Overview

Hypothesis-generating for these genes in DKD; human validation needed before any clinical consideration.

Structured PICO

P
Population
Public transcriptomic datasets of alloxan-induced DKD mice (n=15: 9 DKD, 6 control) and streptozotocin-induced DKD rats (n=12: 7 DKD, 5 control), validated in male db/db mice (n=5) and C57BL/6 controls (n=5) at 15 weeks of age.
I
Intervention
Bioinformatic analysis of differentially expressed genes (DEGs) and validation via quantitative real-time PCR
C
Comparator
Healthy control animals/samples
O
Outcome
Identification of common differentially expressed genes (DEGs) and biological processes altered in DKD modelssurrogate

Hmgcs2, Angptl4, and Slco1a1 were identified as key differentially expressed genes consistently altered across multiple diabetic kidney disease models, highlighting them as potential biomarkers or therapeutic targets.

Limitations

  • Further verification of these genes in clinical samples is needed
  • Functional characterization is needed to confirm their implications in DKD

Cite This Study

Xu et al. (2023) studied this question.

synapsesocial.com/papers/6a19b420196cd56b09ea9806https://doi.org/10.21203/rs.3.rs-2560888/v1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Diabetic Kidney Disease2017 · 2,909 citations
  2. 2Angiopoietin-like 4 based therapeutics for proteinuria and kidney disease2014 · 55 citations
  3. 3Association of the<i>SLC22A1</i>,<i>SLC22A2</i>, and<i>SLC22A3</i>genes encoding organic cation transporters with diabetic nephropathy and hypertension2010 · 32 citations
  4. 4CYP24A1 Exacerbated Activity during Diabetes Contributes to Kidney Tubular Apoptosis via Caspase-3 Increased Expression and Activation2012 · 28 citations
  5. 5Diabetic kidney disease in the<i>db</i>/<i>db</i>mouse2003 · 528 citations