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

Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

You might also read

Related Articles

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

Sort by
Same author

Coupling time-series analysis and agent-based modeling to design non-price demand side management policies for water saving.

Water research·2026
Same author

m6A regulators-based gene expression pattern is associated with immune microenvironment characteristics in hepatocellular carcinoma.

Scientific reports·2025
Same author

Geosynthetic clay liner for coal combustion product landfill: An environmental impact assessment.

Journal of environmental management·2025
Same author

A novel oxidation-reduction combined treatment of dye wastewater: dual-target removal of conventional pollutants and AOX.

Journal of environmental management·2025
Same author

Global, regional, and national burden and trends of kidney cancer associated with high BMI from 1990 to 2021: Findings from the Global Burden of Disease Study 2021.

PloS one·2025
Same author

Uncovering the features of industrial odors-derived environmental complaints and proactive countermeasures by using machine-learning.

Journal of environmental management·2024

Related Experiment Video

Updated: Jul 27, 2026

Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis
05:28

Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis

Published on: December 9, 2022

4.3K

Identification of Potential Therapeutic Targets for Sepsis Using Mendelian Randomization and Integrated eQTL/pQTL

Haigui Yue1, Jinping Tian2,3, Wei Yin4

  • 1Department of Clinical Pharmacy, Taizhou Orthopedics Hospital, Taizhou, Zhejiang, People's Republic of China.

International Journal of General Medicine
|October 15, 2025
PubMed
Summary

This study used Mendelian randomization to identify 6 sepsis-associated genes and 21 proteins, revealing potential therapeutic targets for sepsis treatment. Experimental validation confirmed these findings in a mouse model.

Keywords:
CLP modelMendelian randomizationbioinformaticsdrug targetsepsis

More Related Videos

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

476
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

900

Related Experiment Videos

Last Updated: Jul 27, 2026

Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis
05:28

Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis

Published on: December 9, 2022

4.3K
A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

476
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

900

Area of Science:

  • Genetics and Genomics
  • Immunology
  • Pharmacology

Background:

  • Sepsis is a major global health challenge with limited effective treatments.
  • Mendelian randomization (MR) offers a powerful approach to identify genetic associations and potential therapeutic targets for complex diseases like sepsis.

Purpose of the Study:

  • To identify novel genetic targets for sepsis using MR and large-scale genetic datasets.
  • To experimentally validate candidate genes and predict potential drug targets for sepsis.

Main Methods:

  • Utilized eQTL and pQTL data as exposures and GWAS summaries for sepsis as outcomes.
  • Performed MR analyses and intersected results with druggable genes, followed by drug-target predictions.
  • Validated key genes experimentally in a mouse sepsis model.

Main Results:

  • Identified 6 genes and 21 proteins significantly associated with sepsis risk.
  • Discovered correlations between sepsis-related genes and comorbidities like diabetes, vitamin D deficiency, and cancer.
  • Predicted 34 potential drugs targeting identified hub genes, highlighting immune regulation pathways.

Conclusions:

  • Identified and experimentally validated 6 sepsis-associated genes and 21 proteins.
  • Provided crucial insights into potential therapeutic targets for sepsis.
  • Enhanced the understanding of sepsis molecular pathogenesis.