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Updated: Jun 4, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
Predicting microRNAs and their Target Genes Involved in Sepsis Pathogenesis by using Bioinformatics Methods
Maryam Musavi1, Saeed Mohammadian Haftcheshmeh2, Hadi Fazel1
1Healthy Ageing Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Introduction:
Sepsis, like neutropenic sepsis, is a medical condition in which our body overreacts to infectious agents. It is associated with damage to normal tissues and organs by the immune system, which leads to the spread of inflammation throughout our body. Of note, microRNAs (miRNAs) have been found to have a critical role in the sepsis progression. Such miRNAs are registered in the miRNA databases, such as Gene Expression Omnibus (GEO), with a specific identifier and unique characteristics. There is also computational software, such as TargetScan, that are broadly employed for the analysis of miRNAs, including their identification, target prediction, and functional analysis.
Methods:
The current In-silico study aimed to predict miRNAs involved in sepsis progression. To this end, the GEO database was employed to find the sepsis-related genome profile. Afterward, down-regulated genes were selected for further bioinformatics analysis with the assumption that their decreased expression is associated with an increased sepsis progression. The miRNAs complementary to the selected genes were then predicted using TargetScan software. Based on the current In-silico analysis, seven miRNAs, including hsa-miR-325-3p, hsa-miR-146a-3p, hsa-miR-126-5p, hsa-miR-22-3p, hsa-miR-223-3p, hsa-miR-145-5p, and has-miR-181 family, were predicted to participate in sepsis pathogenesis. Among the predicted miRNAs, hsa-miR-325-3p has not been previously predicted or validated to be involved in septic conditions.
Results:
Our prediction results showed that hsa-miR-325-3p may target genes implicating in both anti-(ETFB gene) and pro-inflammatory (TCEA1 and PTPN1 genes) responses, suggesting it is an immune hemostasis regulator during sepsis inflammation. Although the role of other predicted miRNAs has been already validated in the sepsis pathogenesis, the current study predicted new targets of these miRNAs, which have not been reported by previous in-silico or experimental studies on sepsis and other pathogenic conditions. Notably, other miRNAs, including hsa-miR-146a-3p, hsa-miR-126-5p, hsa-miR-22-3p, hsa-miR-223-3p, and hsa-miR-145-5p were predicted to target genes participating in inflammatory responses, including BLOC1S1, POLR2G, PTPN1, TCEA1, and CCT3.
Conclusion:
In conclusion, the results of the present study can provide promising targets as therapeutic and diagnostic tools to treat and manage inflammation sepsis, such as neutropenic sepsis. However, these findings should be further evaluated in experimental studies to find their exact effects and underlying mechanisms.
Insights
This study identified seven microRNAs (miRNAs) involved in sepsis progression, including the novel candidate hsa-miR-325-3p. These findings offer potential diagnostic and therapeutic targets for managing sepsis-induced inflammation.
Area of Science:
- Genomics and Bioinformatics
- Molecular Biology
- Immunology
Background:
- Sepsis involves a systemic inflammatory response to infection, leading to tissue damage.
- MicroRNAs (miRNAs) play a critical role in the progression of sepsis.
- Databases like Gene Expression Omnibus (GEO) and tools like TargetScan are used for miRNA analysis.
Purpose of the Study:
- To predict microRNAs (miRNAs) implicated in the pathogenesis of sepsis using bioinformatics approaches.
- To identify novel miRNAs and their targets involved in sepsis-related inflammation.
Main Methods:
- Utilized the Gene Expression Omnibus (GEO) database to identify sepsis-related gene expression profiles.
- Selected down-regulated genes as indicators of sepsis progression.
- Employed TargetScan software to predict miRNAs complementary to the selected genes.
Main Results:
- Seven miRNAs, including hsa-miR-325-3p, hsa-miR-146a-3p, hsa-miR-126-5p, hsa-miR-22-3p, hsa-miR-223-3p, hsa-miR-145-5p, and the has-miR-181 family, were predicted to be involved in sepsis.
- hsa-miR-325-3p was identified as a potential immune hemostasis regulator, targeting both anti-inflammatory (ETFB) and pro-inflammatory (TCEA1, PTPN1) genes.
- New targets for previously validated sepsis-related miRNAs were predicted, expanding knowledge of their roles in inflammation.
Conclusions:
- The predicted miRNAs, particularly hsa-miR-325-3p, represent promising candidates for diagnostic and therapeutic strategies in sepsis management.
- Further experimental validation is necessary to elucidate the precise mechanisms and effects of these miRNAs in sepsis.

