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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This phenomenon...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:

You might also read

Related Articles

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

Sort by
Same author

Carbon-to-nitrogen stoichiometry shapes divergent intracellular and extracellular antibiotic resistance gene fates through a dissolved organic matter-extracellular polymeric substance-mobile genetic element cascade in cyanobacteria-bacteria co-cultures.

Water research·2026
Same author

Efficient Syngas Photoproduction Enabled by Electronic Engineering of Co-Immobilized Imine COFs.

Angewandte Chemie (International ed. in English)·2026
Same author

Innovative Interfacial Compatibilization and Blowing Strategies for Advancing PLA/PBAT Blown Films: Enhancing Film Blowing Stability, Mechanical Properties, and Barrier Properties.

ACS omega·2026
Same author

Irisin Pretreatment Reveals Enhanced Protective Response Upon Hematopoietic Reconstitution in the Acquired Aplastic Anemia Mouse Model.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2026
Same author

Synergistic Effects of Maize Volatiles on Pheromone Trap Captures of the Fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae).

Journal of chemical ecology·2026
Same author

Safety and efficacy of decompressive craniectomy versus standard craniotomy for large acute epidural haematoma with tentorial herniation in China (PREDICT-AEDH): a nationwide, multicentre, open-label, parallel-group, randomised controlled trial.

The Lancet. Neurology·2026

Related Experiment Video

Updated: Jul 6, 2026

A Model to Simulate Clinically Relevant Hypoxia in Humans
09:54

A Model to Simulate Clinically Relevant Hypoxia in Humans

Published on: December 22, 2016

9.5K

How does OA affect sepsis? An observational study and Mendelian randomization mediation analysis.

Dawei Xu1, Junjie Chen2, Fanrong Lin3

  • 1Trauma Center, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Osteoarthritis and Cartilage Open
|April 20, 2026
PubMed
Summary
This summary is machine-generated.

Osteoarthritis (OA) did not show a direct link to sepsis in observational data. However, hip OA may increase sepsis risk, with metabolic factors like sphingomyelin acting as mediators.

Keywords:
Mediation analysisMendelian randomizationOsteoarthritisSepsis

More Related Videos

Noninvasive and Invasive Renal Hypoxia Monitoring in a Porcine Model of Hemorrhagic Shock
07:48

Noninvasive and Invasive Renal Hypoxia Monitoring in a Porcine Model of Hemorrhagic Shock

Published on: October 28, 2022

1.7K
Non-Invasive Monitoring of Microvascular Oxygenation and Reactive Hyperemia using Hybrid, Near-Infrared Diffuse Optical Spectroscopy for Critical Care
14:28

Non-Invasive Monitoring of Microvascular Oxygenation and Reactive Hyperemia using Hybrid, Near-Infrared Diffuse Optical Spectroscopy for Critical Care

Published on: May 10, 2024

2.5K

Related Experiment Videos

Last Updated: Jul 6, 2026

A Model to Simulate Clinically Relevant Hypoxia in Humans
09:54

A Model to Simulate Clinically Relevant Hypoxia in Humans

Published on: December 22, 2016

9.5K
Noninvasive and Invasive Renal Hypoxia Monitoring in a Porcine Model of Hemorrhagic Shock
07:48

Noninvasive and Invasive Renal Hypoxia Monitoring in a Porcine Model of Hemorrhagic Shock

Published on: October 28, 2022

1.7K
Non-Invasive Monitoring of Microvascular Oxygenation and Reactive Hyperemia using Hybrid, Near-Infrared Diffuse Optical Spectroscopy for Critical Care
14:28

Non-Invasive Monitoring of Microvascular Oxygenation and Reactive Hyperemia using Hybrid, Near-Infrared Diffuse Optical Spectroscopy for Critical Care

Published on: May 10, 2024

2.5K

Area of Science:

  • Medical research
  • Genetics
  • Epidemiology

Background:

  • Osteoarthritis (OA) and sepsis are significant health concerns.
  • Understanding their potential causal relationship and mediating factors is crucial for patient outcomes.

Purpose of the Study:

  • To investigate the causal links between osteoarthritis (OA) and sepsis.
  • To identify potential mediating factors, including immune cell phenotypes, metabolites, and inflammation.

Main Methods:

  • Utilized observational data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database.
  • Conducted bidirectional Mendelian Randomization (MR) analysis using genome-wide association study (GWAS) data for OA, immune phenotypes, metabolites, inflammation, and sepsis.
  • Analyzed up to ~30 million SNPs for OA and ~12 million SNPs for sepsis outcomes.

Main Results:

  • Observational data showed no significant association between OA and sepsis.
  • Mendelian Randomization identified a causal effect of hip osteoarthritis on sepsis risk (OR: 1.09, P=0.024).
  • Sphingomyelin and X-24585 levels were identified as mediators between hip OA and sepsis risk.

Conclusions:

  • Hip osteoarthritis is a potential risk factor for sepsis.
  • Metabolic factors likely mediate the relationship between hip OA and sepsis.
  • Further research is needed to elucidate the underlying mechanisms.