The role of SOCS3 in the hypothalamic paraventricular nucleus in rat model of inflammatory pain

Identification of SOCS3 and PTGS2 as new biomarkers for the diagnosis of gout by cross-species comprehensive analysis

BACKGROUND

Gout is the most common inflammatory arthritis in adults. Gout is an arthritic disease caused by the deposition of monosodium urate crystal (MSU) in the joints, which can lead to acute inflammation and damage adjacent tissue. Hyperuricemia is the main risk factor for MSU crystal deposition and gout. With the increasing burden of gout disease, the identification of potential biomarkers and novel targets for diagnosis is urgently needed.

METHODS

For the analysis of this subject paper, we downloaded the human gout data set GSE160170 and the gout mouse model data set GSE190138 from the GEO database. To obtain the differentially expressed genes (DEGs), we intersected the two data sets. Using the cytohubba algorithm, we identified the key genes and enriched them through GO and KEGG. The gene expression trends of three subgroups (normal control group, intermittent gout group and acute gout attack group) were analyzed by Series Test of Cluster (STC) analysis, and the key genes were screened out, and the diagnostic effect was verified by ROC curve. The expression of key genes in dorsal root nerve and spinal cord of gout mice was analyzed. Finally, the clinical samples of normal control group, hyperuricemia group, intermittent gout group and acute gout attack group were collected, and the expression of key genes at protein level was verified by ELISA.

RESULT

We obtained 59 co-upregulated and 28 co-downregulated genes by comparing the DEGs between gout mouse model data set and human gout data set. 7 hub DEGs(IL1B, IL10, NLRP3, SOCS3, PTGS2) were screened out via Cytohubba algorithm. The results of both GO and KEGG enrichment analyses indicate that 7 hub genes play a significant role in regulating the inflammatory response, cytokine production in immune response, and the TNF signaling pathway. The most representative hub genes SOCS3 and PTGS2 were screened out by Series Test of Cluster, and ROC analysis results showed the AUC values were both up to 1.000. In addition, we found that PTGS2 expression was significantly elevated in the dorsal root ganglia and spinal cord in monosodium urate(MSU)-induced gout mouse model. The ELISA results revealed that the expression of SOCS3 and PTGS2 was notably higher in the acute gout attack and intermittent gout groups compared to the normal control group. This difference was statistically significant, indicating a clear distinction between the groups.

CONCLUSION

Through cross-species comprehensive analysis and experimental verification, SOCS3 and PTGS2 were proved to be new biomarkers for diagnosing gout and predicting disease progression.

Suppressor of Cytokine Signaling-3 Gene Polymorphisms and the Risk of Hepatocellular Carcinoma in Chronic Hepatitis C Patients in Egypt

BACKGROUND

Hepatocellular carcinoma (HCC) contributes significantly to cancer mortalities worldwide. The association between a specific single nucleotide polymorphism (SNP) located within the SOCS3 gene as well as the likelihood of hepatocellular carcinoma (HCC) progression in individuals with chronic hepatitis C virus (CHC) was found to be significant. We aimed to study SOCS3 gene polymorphisms at rs4969168 and rs4969170and HCC susceptibility in individuals with CHC.

METHODS

The current prospective study involved 111 subjects divided in to three groups (HCC, HCV with and with no cirrhosis, and apparently healthy individuals). Tumor staging was done using BCLC staging system. SOCS3 (rs4969168 and rs4969170) gene polymorphisms' analysis was done utilizing real-time polymerase chain reaction (RT-PCR) (via DNA extracted from all subjects). All subjects underwent a complete history, medical examination, and laboratory and radiological data collection.

RESULTS

Compared to healthy controls, homozygous AA genotypes and heterozygous GA genotypes were substantially overrepresented in  HCC patients as well as those with CHCaccompanied by cirrhosis.AFP, smoking, glucose level, and AA genotype of rs4969170 might be critical significant parameters for HCC development.

CONCLUSION

SOCS3 gene polymorphisms at rs4969168 and rs4969170 are associated with HCC and liver fibrosis progression in the Egyptian population with CHC infection.