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Non-LTR Retrotransposons03:18

Non-LTR Retrotransposons

As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...

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Related Experiment Video

Updated: May 13, 2026

Biomarkers in an Animal Model for Revealing Neural, Hematologic, and Behavioral Correlates of PTSD
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Immune transcriptomic changes in Australian Gulf War veterans.

Natalie Eaton-Fitch1,2, Etianne Martini Sasso1,2, Sonya Marshall-Gradisnik1,2

  • 1National Centre for Neuroimmunology and Emerging Diseases, Health Group, Griffith University, Gold Coast, Australia.

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|December 3, 2025
PubMed
Summary

Gulf War Illness (GWI) involves immune system disruption. Gene expression analysis revealed altered immune cell markers and pathways, suggesting immune exhaustion plays a role in GWI progression.

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Area of Science:

  • Immunology
  • Genomics
  • Veterans' Health

Background:

  • Gulf War Illness (GWI) is a chronic multisystemic illness affecting veterans.
  • Its etiology is unclear but linked to toxic exposures and prophylactic treatments.
  • Immune system disruption and inflammation are reported in GWI patients.

Purpose of the Study:

  • To investigate gene expression patterns of immune function markers in Gulf War Veterans with GWI.
  • To identify potential molecular mechanisms underlying GWI pathogenesis.

Main Methods:

  • Gene expression analysis of 785 immune function markers using the NanoString® nCounter Immune Exhaustion panel.
  • RNA extracted from peripheral blood mononuclear cells (PBMCs) of 20 GWI patients and 15 healthy controls.
  • Data analyzed using Rosalind Bio and IPA.

Main Results:

  • Thirty-three differentially expressed genes were identified (21 upregulated, 12 downregulated).
  • Upregulated genes relate to stress responses; downregulated genes involve T cell receptors and humoral immunity.
  • Gene set and pathway analyses indicated involvement of interferon signaling, T cell receptors, neutrophil signaling, and lipid rafts.

Conclusions:

  • Immune dysregulation and exhaustion pathways are implicated in GWI.
  • Identified gene markers may offer potential for GWI screening or therapeutic targets.
  • Further research in larger cohorts is recommended.