Discovering in vivo cytokine-eQTL interactions from a lupus clinical trial

Emma E Davenport1,2,3,4, Tiffany Amariuta1,2,3,4,5, Maria Gutierrez-Arcelus1,2,3,4

  • 1Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, 02115, USA.

Genome Biology
|October 21, 2018
PubMed
Abstract

Insights

This study reveals how analyzing gene expression data from clinical trials can uncover new ways cytokines like interferon and anti-IL-6 influence autoimmune diseases, identifying potential therapeutic targets.

Area of Science:

  • Immunology
  • Genetics
  • Pharmacology

Background:

  • Cytokines play a crucial role in human diseases and are key therapeutic targets due to their broad impact on gene regulation.
  • Understanding cytokine-driven regulatory mechanisms is essential for elucidating drug and disease pathways.
  • Expression quantitative trait loci (eQTLs) interacting with cytokine levels offer a promising strategy to identify target genes and mechanisms.

Purpose of the Study:

  • To investigate in vivo eQTL interactions with environmental variables using clinical trial data.
  • To identify novel regulatory mechanisms and potential therapeutic targets in autoimmune diseases.

Main Methods:

  • Collected whole blood genome-wide gene expression data at three time points during a clinical trial for anti-interleukin-6 (anti-IL-6) in systemic lupus erythematosus patients.
  • Measured interferon (IFN) status and anti-IL-6 drug exposure.
  • Analyzed cis eQTLs and their interactions with IFN status and anti-IL-6 drug exposure.

Main Results:

  • Repeated transcriptomic measurements identified more cis eQTLs than single-time point measurements.
  • Observed statistically significant enrichment of in vivo eQTL interactions with IFN status and anti-IL-6 drug exposure, revealing novel interactions.
  • Identified transcription factor binding motifs (ISRE for IFN, IRF4 for anti-IL-6) disrupted by eQTL interaction SNPs, indicating key regulatory mediators.

Conclusions:

  • Clinical trial data can be effectively utilized to discover in vivo eQTL interactions with relevant environmental factors.
  • This approach can identify novel therapeutic targets for autoimmune diseases by pinpointing key regulatory mediators of environmental stimuli.

Related Concept Videos

Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
10.5K
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
5.0K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.5K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
420
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
1.3K
Predator-Prey Interactions02:39

Predator-Prey Interactions

Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
21.6K