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Table 3 The correlation of CB2, MOR with lL-17, MCP-1, OPN, IFN-γ

From: Beyond prediction: unveiling the prognostic power of μ-opioid and cannabinoid receptors, alongside immune mediators, in assessing the severity of SARS-CoV-2 infection

  

Gene expression

Serum

Variable

CB2

MOR

IL-17

MCP-1

OPN

IFN-γ

Gene expression

       

CB2

      

Correlation

1

0.541**

0.249

0.335**

0.261*

0.394**

P value

 

0

0.053

0.008

0.042

0.002

MOR

      

Correlation

0.541**

1

0.206

0.322*

0.231

0.424**

P value

0

 

0.112

0.011

0.073

0.001

Serum

       

IL-17

      

Correlation

0.249

0.206

1

0.636**

0.476**

0.482**

P value

0.053

0.112

 

0

0

0

MCP-1

      

Correlation

0.335**

0.322*

0.636**

1

0.441**

0.646**

P value

0.008

0.011

0

 

0

0

OPN

      

Correlation

0.261*

0.231

0.476**

0.441**

1

0.636**

P value

0.042

0.073

0

0

 

0

IFN-γ

      

Correlation

0.394**

0.424**

0.482**

0.646**

0.636**

1

P value

0.002

0.001

0

0

0

 
  1. **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed)
  2. Table 3 presents the correlation coefficients and corresponding P values for the relationships between CB2, MOR, IL-17, MCP-1, OPN, and IFN-γ. Key points to note include:
  3. Significant correlations (**P < 0.01, *P < 0.05) are denoted by the respective symbols
  4. The correlation values indicate the strength and direction of the relationships between the variables
  5. CB2 and MOR show significant correlations with IL-17, MCP-1, OPN, and IFN-γ, providing insights into their interplay in the context of SARS-CoV-2 infection severity. The analysis method employed for calculating these correlations was Pearson analysis
  6. These correlation results contribute to understanding the potential interactions and associations among the studied biomarkers, shedding light on their roles in the pathophysiology of SARS-CoV-2