Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Chronic Kidney Disease I: Introduction01:25

Chronic Kidney Disease I: Introduction

Chronic Kidney Disease (CKD) arises when the kidneys progressively lose their ability to function, ultimately leading to end-stage kidney disease (ESKD). At this advanced stage, the kidneys can no longer filter waste or maintain essential body functions, requiring renal replacement therapy (RRT) through dialysis or a kidney transplant for survival.Early-stage chronic kidney disease and detection challengesIn CKD's early stages, symptoms often remain absent because healthy nephrons compensate...
Chronic Kidney Disease III: Interprofessional Care01:28

Chronic Kidney Disease III: Interprofessional Care

Chronic kidney disease (CKD) requires collaborative and comprehensive management. CKD progresses through stages and can lead to end-stage kidney disease (ESKD) if untreated. Interprofessional collaboration and patient education are crucial, enabling patients to manage their health and improve their quality of life.Diagnostic approach for chronic kidney diseaseThe diagnosis of CKD primarily focuses on the glomerular filtration rate (GFR), which assesses kidney function by measuring how well...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.6K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
12.6K
Acute Kidney Injury IV: Diagnostic Studies and Prevention01:30

Acute Kidney Injury IV: Diagnostic Studies and Prevention

Accurate diagnosis and effective prevention are critical in managing Acute Kidney Injury (AKI), which is linked to high mortality rates ranging from 10% to 80%. Timely recognition of at-risk patients and careful monitoring can significantly reduce the likelihood of kidney damage.Diagnostic Assessments:The diagnostic process starts with a comprehensive medical history to identify prerenal, intrarenal, and postrenal causes.Prerenal causes, such as dehydration, hypotension, or blood loss, should...
Chronic Kidney Disease II: Clinical Manifestations01:24

Chronic Kidney Disease II: Clinical Manifestations

Chronic Kidney Disease (CKD) progressively impairs multiple body systems due to the accumulation of uremic toxins, which disrupt cellular functions across various organs.Neurologic symptomsNeurologic symptoms often arise early in CKD, as uremic toxin buildup drives changes in cognitive and motor functions. Patients frequently experience fatigue, headache, confusion, difficulty concentrating, and, in severe cases, seizures. Peripheral neuropathy commonly manifests as burning sensations in the...
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

14.1K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
14.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A myrmecophilous beetle associated with Solenopsis invicta in China: Evidence for potential host-associated co-dispersal.

Insect science·2026
Same author

Analysis of the human health threat caused by the red imported fire ant in mainland China.

PloS one·2026
Same author

Mycobacterium tuberculosis IDH-PPARγ interaction suppresses GPX4 to drive macrophage ferroptosis and sustain persistent infection.

Nature communications·2026
Same author

Single-nucleus analysis reveals human-specific oligodendrocyte polarization and conserved neuronal responses after severe traumatic brain injury.

Nature communications·2026
Same author

Gut microbiota-induced perturbation in bile acids alter keratinocyte lipid metabolism via FXR-NQO1 signaling in psoriasis.

Nature communications·2026
Same author

Future L2 writing selves and EFL writing achievement: the mediating role of writing enjoyment and boredom.

Frontiers in psychology·2026

Related Experiment Video

Updated: Jun 10, 2025

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
07:35

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring

Published on: June 23, 2015

11.5K

Multi-scalar data integration decoding risk genes for chronic kidney disease.

Shiqi Ding1, Jing Guo2, Huimei Chen3

  • 1The NUS High School of Mathematics and Science , NUSH, 20 Clementi Ave 1, Singapore, Singapore.

BMC Nephrology
|October 18, 2024
PubMed
Summary
This summary is machine-generated.

This study integrates genetic and molecular data to identify key genes and cell types involved in Chronic Kidney Disease (CKD) pathogenesis. Findings highlight extracellular matrix remodeling and immune dysregulation in CKD kidneys.

Keywords:
CKDGWASIntegrated analysisRNA-seqscRNA-seq

More Related Videos

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
10:37

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice

Published on: May 2, 2025

99
Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

18.9K

Related Experiment Videos

Last Updated: Jun 10, 2025

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
07:35

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring

Published on: June 23, 2015

11.5K
Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
10:37

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice

Published on: May 2, 2025

99
Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

18.9K

Area of Science:

  • Genomics and Molecular Biology
  • Nephrology
  • Systems Biology

Background:

  • Chronic Kidney Disease (CKD) affects over 10% of the global population.
  • High-throughput analytical technologies are advancing the understanding of CKD.
  • Integrating multi-omics data offers a comprehensive view of CKD physiology.

Purpose of the Study:

  • To identify genes and cell types associated with CKD traits.
  • To explore the complex genetic architecture of kidney diseases.
  • To provide a foundation for mechanistic studies in CKD.

Main Methods:

  • Utilized Genome-Wide Association Studies (GWAS) for CKD traits.
  • Analyzed RNA sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq) data.
  • Integrated data from UK Biobank and Gene Expression Omnibus (GEO) databases.

Main Results:

  • Identified 779 single nucleotide polymorphisms (SNPs) and 681 risk genes for CKD traits.
  • Found enrichment of extracellular matrix (ECM) modeling and immune response pathways.
  • Highlighted dysregulation of collagen genes (e.g., COL1A2) in fibroblasts/myofibroblasts and THSD7A in podocytes.
  • Determined that CKD risk genes are primarily expressed in kidney tubular and immune cells.

Conclusions:

  • The integrated analysis reveals key genes, pathways, and cell types implicated in CKD pathogenesis.
  • These findings serve as a basis for future mechanistic investigations into CKD.
  • The study enhances the understanding of molecular mechanisms underlying kidney disease.