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10.1016/j.humimm.2021.07.007

http://scihub22266oqcxt.onion/10.1016/j.humimm.2021.07.007
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34304938!8282477!34304938
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suck abstract from ncbi


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pmid34304938      Hum+Immunol 2021 ; 82 (10): 726-732
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  • Soluble HLA-G is upregulated in serum of patients with severe COVID-19 #MMPMID34304938
  • Al-Bayatee NT; Ad'hiah AH
  • Hum Immunol 2021[Oct]; 82 (10): 726-732 PMID34304938show ga
  • Soluble HLA-G (sHLA-G) molecules are considered potent immunomodulators, and their dysregulated expression has been implicated in several pathological conditions, including coronavirus disease 19 (COVID-19). Therefore, a case-control study (103 COVID-19 patients and 105 controls) was performed to determine sHLA-G role in severity of COVID-19. Results revealed that median levels of sHLA-G were significantly increased in serum of patients compared to controls (19.3 vs. 12.7?ng/mL; p?<0.001). When patients and controls were stratified by age group, gender, body mass index, chronic disease, or ABO and Rh blood groups, the sHLA-G level did not show a significant difference in each stratum. Logistic regression analysis demonstrated that the up-regulated expression of sHLA-G was associated with an elevated risk of developing COVID-19. Receiver operating characteristic curve analysis showed that sHLA-G was a very good predictor of COVID-19, and at a cut-off value of 15.4?ng/mL, the sensitivity and specificity of sHLA-G were 79.6 and 79.0%, respectively. Spearman rank correlation analysis revealed that sHLA-G was positively correlated with age, erythrocyte sedimentation rate, white blood cell count, and random blood glucose, while a negative correlation was recorded with vitamin D. In conclusion, up-regulated expression of sHLA-G was indicated in patients with severe COVID-19.
  • |Adult[MESH]
  • |Aged[MESH]
  • |Biomarkers/metabolism[MESH]
  • |COVID-19/*genetics[MESH]
  • |Case-Control Studies[MESH]
  • |Female[MESH]
  • |HLA-G Antigens/*genetics[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |ROC Curve[MESH]
  • |SARS-CoV-2/pathogenicity[MESH]
  • |Sensitivity and Specificity[MESH]


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