ÄÁÅÙÃ÷»ó¼¼º¸±â

Äڷγª-19 ¹ÙÀÌ·¯½º °¨¿°¿¡ ´ëÇÑ À¯ÇØÇÑ ¸é¿ª ¼¼Æ÷ : »ý¹°ÇÐÀû ¿¬±¸
Äڷγª-19 ¹ÙÀÌ·¯½º °¨¿°¿¡ ´ëÇÑ À¯ÇØÇÑ ¸é¿ª ¼¼Æ÷ : »ý¹°ÇÐÀû ¿¬±¸
  • ÀúÀÚNima Hemmat, Afshin Derakhshani, Hossein Bannazadeh Baghi, Nicola Silvestris,¿Ü Àú
  • ÃâÆÇ»ç¾ÆÁø
  • ÃâÆÇÀÏ2020-07-12
  • µî·ÏÀÏ2020-12-21
º¸À¯ 1, ´ëÃâ 0, ¿¹¾à 0, ´©Àû´ëÃâ 6, ´©Àû¿¹¾à 0

Ã¥¼Ò°³

The latest member of the Coronaviridae family, called SARS-CoV-2, causes the
Coronavirus Disease 2019 (COVID-19). The disease has caused a pandemic and is
threatening global health. Similar to SARS-CoV, this new virus can potentially
infect lower respiratory tract cells and can go on to cause severe acute respiratory
tract syndrome, followed by pneumonia and even death in many nations. The
molecular mechanism of the disease has not yet been evaluated until now. We
analyzed the GSE1739 microarray dataset including 10 SARS-positive PBMC and
four normal PBMC. Co-expression network analysis by WGCNA suggested that
highly preserved 833 turquoise module with genes were significantly related to
SARS-CoV infection. ELANE, ORM2, RETN, BPI, ARG1, DEFA4, CXCL1, and CAMP
were the most important genes involved in this disease according to GEO2R
analysis as well. The GO analysis demonstrated that neutrophil activation and
neutrophil degranulation are the most activated biological processes in the SARS
infection as well as the neutrophilia, basophilia, and lymphopenia predicted by
deconvolution analysis of samples. Thus, using Serpins and Arginase inhibitors
during SARS-CoV infection may be beneficial for increasing the survival of
SARS-positive patients. Regarding the high similarity of SARS-CoV-2 to
SARS-CoV, the use of such inhibitors might be beneficial for COVID-19 patients.

¸ñÂ÷

Á¦ 1Æí Äڷγª¹ÙÀÌ·¯½º Á¤ÀÇ
1. Äڷγª¹ÙÀÌ·¯½º°¨¿°Áõ-19(Covid-19) Á¤º¸ 7
2. Äڷγª¹ÙÀÌ·¯½º ºÐ·ù ¹× Æ¯¼º 9
3. Äڷγª¹ÙÀÌ·¯½º ÀüÀÚÇö¹Ì°æ ÇüÅ 11
4. Äڷγª¹ÙÀÌ·¯½º ±¸Á¶ (Covid-19 Organization) 13
5. Äڷγª19: È¯°æ¿¡ Áö¼ÓÀûÀΠ¿µÇâÀ» ¹ÌÄ¥±î? 19
6. Ä¡·á¹ý(Therapeutical Method) 22

Á¦ 2Æí ¿¬±¸³í¹®
Neutrophils, Crucial, or Harmful Immune Cells Involved in
Coronavirus Infection: A Bioinformatics Study

1. INTRODUCTION 23
2. MATERIALS AND METHODS 25
3. Gene Ontology and Heat Map Analysis 26
4. RESULTS 27
5. Hub-Genes Detection and Enrichment Analysis 28
6. DISCUSSION 30
7. DATA AVAILABILITY STATEMENT 32
8. REFERENCES 32

ÇÑÁÙ ¼­Æò