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Dynamic changes of T-lymphocyte subsets and the correlations with 89 patients with coronavirus disease 2019 (COVID-19)
In December 2019, an outbreak of coronavirus disease 2019 (COVID-19), caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), occurred in Wuhan City, Hubei Province, China. The coronavirus has spread throughout the world, posing a severe threat to human health. By using flow...
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Published in: | Annals of translational medicine 2020-09, Vol.8 (18), p.1145-1145 |
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description | In December 2019, an outbreak of coronavirus disease 2019 (COVID-19), caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), occurred in Wuhan City, Hubei Province, China. The coronavirus has spread throughout the world, posing a severe threat to human health. By using flow cytometry, here we observed the dynamic changes of peripheral blood T lymphocyte subsets in COVID-19 patients, with an attempt to explore their roles in the pathogenesis of COVID-19 and their impacts on prognosis.
Eighty-nine COVID-19 patients were divided into a moderate group (n=70) and the severe/critical group (n=19) according to the disease severity. Furthermore, the severe/critical patients were divided into the improved group (n=14) and unimproved group (n=5) according to the outcomes. The absolute peripheral blood lymphocytes counts and subsets, including CD45+, CD3+, CD4+, and CD8+, in the acute phase, and flow cytometry measured the recovery phase for all patients. Then, the results were compared with those in the normal control group.
The absolute counts of lymphocytes, T lymphocytes, and their subsets decreased during the acute phase in COVID-19 patients, especially in the severe/critical group. The T-lymphocyte count reached the lowest point on the 14th day in the severe/critical group. It rose with fluctuations to the normal level in the improved group as the immune function recovered; in the unimproved group, however, the T-lymphocyte count remained at a low level or even continued to decrease. The percentages of CD4+ and CD8+ T lymphocytes showed no visible change in the improved group; however, the percentage of CD8+ T cells dropped in the unimproved group, resulting in higher CD4+/CD8+ ratio.
T lymphocytes count, and their subsets can be used for monitoring the immune functions and predicting the prognosis of COVID-19 patients. |
doi_str_mv | 10.21037/atm-20-5479 |
format | article |
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Eighty-nine COVID-19 patients were divided into a moderate group (n=70) and the severe/critical group (n=19) according to the disease severity. Furthermore, the severe/critical patients were divided into the improved group (n=14) and unimproved group (n=5) according to the outcomes. The absolute peripheral blood lymphocytes counts and subsets, including CD45+, CD3+, CD4+, and CD8+, in the acute phase, and flow cytometry measured the recovery phase for all patients. Then, the results were compared with those in the normal control group.
The absolute counts of lymphocytes, T lymphocytes, and their subsets decreased during the acute phase in COVID-19 patients, especially in the severe/critical group. The T-lymphocyte count reached the lowest point on the 14th day in the severe/critical group. It rose with fluctuations to the normal level in the improved group as the immune function recovered; in the unimproved group, however, the T-lymphocyte count remained at a low level or even continued to decrease. The percentages of CD4+ and CD8+ T lymphocytes showed no visible change in the improved group; however, the percentage of CD8+ T cells dropped in the unimproved group, resulting in higher CD4+/CD8+ ratio.
T lymphocytes count, and their subsets can be used for monitoring the immune functions and predicting the prognosis of COVID-19 patients.</description><identifier>ISSN: 2305-5839</identifier><identifier>EISSN: 2305-5839</identifier><identifier>DOI: 10.21037/atm-20-5479</identifier><identifier>PMID: 33240994</identifier><language>eng</language><publisher>China: AME Publishing Company</publisher><subject>Original</subject><ispartof>Annals of translational medicine, 2020-09, Vol.8 (18), p.1145-1145</ispartof><rights>2020 Annals of Translational Medicine. All rights reserved.</rights><rights>2020 Annals of Translational Medicine. All rights reserved. 2020 Annals of Translational Medicine.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2299-14d6da76333a6a49db8279ef01cf6c3da43bd32df482ee75a4b2e76471fa29ee3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576080/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576080/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33240994$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Mingxiang</creatorcontrib><creatorcontrib>Wang, Yao</creatorcontrib><creatorcontrib>Ye, Jing</creatorcontrib><creatorcontrib>Da, Hongqiang</creatorcontrib><creatorcontrib>Fang, Sufang</creatorcontrib><creatorcontrib>Chen, Lizhou</creatorcontrib><title>Dynamic changes of T-lymphocyte subsets and the correlations with 89 patients with coronavirus disease 2019 (COVID-19)</title><title>Annals of translational medicine</title><addtitle>Ann Transl Med</addtitle><description>In December 2019, an outbreak of coronavirus disease 2019 (COVID-19), caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), occurred in Wuhan City, Hubei Province, China. The coronavirus has spread throughout the world, posing a severe threat to human health. By using flow cytometry, here we observed the dynamic changes of peripheral blood T lymphocyte subsets in COVID-19 patients, with an attempt to explore their roles in the pathogenesis of COVID-19 and their impacts on prognosis.
Eighty-nine COVID-19 patients were divided into a moderate group (n=70) and the severe/critical group (n=19) according to the disease severity. Furthermore, the severe/critical patients were divided into the improved group (n=14) and unimproved group (n=5) according to the outcomes. The absolute peripheral blood lymphocytes counts and subsets, including CD45+, CD3+, CD4+, and CD8+, in the acute phase, and flow cytometry measured the recovery phase for all patients. Then, the results were compared with those in the normal control group.
The absolute counts of lymphocytes, T lymphocytes, and their subsets decreased during the acute phase in COVID-19 patients, especially in the severe/critical group. The T-lymphocyte count reached the lowest point on the 14th day in the severe/critical group. It rose with fluctuations to the normal level in the improved group as the immune function recovered; in the unimproved group, however, the T-lymphocyte count remained at a low level or even continued to decrease. The percentages of CD4+ and CD8+ T lymphocytes showed no visible change in the improved group; however, the percentage of CD8+ T cells dropped in the unimproved group, resulting in higher CD4+/CD8+ ratio.
T lymphocytes count, and their subsets can be used for monitoring the immune functions and predicting the prognosis of COVID-19 patients.</description><subject>Original</subject><issn>2305-5839</issn><issn>2305-5839</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpVkUtP3DAUha0KVBCw67ryEqSm-JU43iChmT6QkNhAt9aNfUOMkniwk0Hz75uWKaKr-_p07pEOIZ84-yo4k_oSpqEQrCiVNh_IsZCsLMpamoN3_RE5y_mJMcYFN5Kxj-RISqGYMeqYbNe7EYbgqOtgfMRMY0vvi343bLrodhPSPDcZp0xh9HTqkLqYEvYwhThm-hKmjtaGbpYZx2m_WJA4wjakOVMfMkJGKhg39Hx19-tmXXBzcUoOW-gznu3rCXn4_u1-9bO4vftxs7q-LZwQxhRc-cqDrqSUUIEyvqmFNtgy7trKSQ9KNl4K36paIOoSVCNQV0rzFoRBlCfk6lV3MzcDereYTNDbTQoDpJ2NEOz_lzF09jFurS51xWq2CJzvBVJ8njFPdgjZYd_DiHHOVqhKLSBnekG_vKIuxZwTtm9vOLN_07JLWlYw-yetBf_83tob_C8b-RvlTZET</recordid><startdate>202009</startdate><enddate>202009</enddate><creator>Huang, Mingxiang</creator><creator>Wang, Yao</creator><creator>Ye, Jing</creator><creator>Da, Hongqiang</creator><creator>Fang, Sufang</creator><creator>Chen, Lizhou</creator><general>AME Publishing Company</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202009</creationdate><title>Dynamic changes of T-lymphocyte subsets and the correlations with 89 patients with coronavirus disease 2019 (COVID-19)</title><author>Huang, Mingxiang ; Wang, Yao ; Ye, Jing ; Da, Hongqiang ; Fang, Sufang ; Chen, Lizhou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2299-14d6da76333a6a49db8279ef01cf6c3da43bd32df482ee75a4b2e76471fa29ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Original</topic><toplevel>online_resources</toplevel><creatorcontrib>Huang, Mingxiang</creatorcontrib><creatorcontrib>Wang, Yao</creatorcontrib><creatorcontrib>Ye, Jing</creatorcontrib><creatorcontrib>Da, Hongqiang</creatorcontrib><creatorcontrib>Fang, Sufang</creatorcontrib><creatorcontrib>Chen, Lizhou</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Annals of translational medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Mingxiang</au><au>Wang, Yao</au><au>Ye, Jing</au><au>Da, Hongqiang</au><au>Fang, Sufang</au><au>Chen, Lizhou</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic changes of T-lymphocyte subsets and the correlations with 89 patients with coronavirus disease 2019 (COVID-19)</atitle><jtitle>Annals of translational medicine</jtitle><addtitle>Ann Transl Med</addtitle><date>2020-09</date><risdate>2020</risdate><volume>8</volume><issue>18</issue><spage>1145</spage><epage>1145</epage><pages>1145-1145</pages><issn>2305-5839</issn><eissn>2305-5839</eissn><abstract>In December 2019, an outbreak of coronavirus disease 2019 (COVID-19), caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), occurred in Wuhan City, Hubei Province, China. The coronavirus has spread throughout the world, posing a severe threat to human health. By using flow cytometry, here we observed the dynamic changes of peripheral blood T lymphocyte subsets in COVID-19 patients, with an attempt to explore their roles in the pathogenesis of COVID-19 and their impacts on prognosis.
Eighty-nine COVID-19 patients were divided into a moderate group (n=70) and the severe/critical group (n=19) according to the disease severity. Furthermore, the severe/critical patients were divided into the improved group (n=14) and unimproved group (n=5) according to the outcomes. The absolute peripheral blood lymphocytes counts and subsets, including CD45+, CD3+, CD4+, and CD8+, in the acute phase, and flow cytometry measured the recovery phase for all patients. Then, the results were compared with those in the normal control group.
The absolute counts of lymphocytes, T lymphocytes, and their subsets decreased during the acute phase in COVID-19 patients, especially in the severe/critical group. The T-lymphocyte count reached the lowest point on the 14th day in the severe/critical group. It rose with fluctuations to the normal level in the improved group as the immune function recovered; in the unimproved group, however, the T-lymphocyte count remained at a low level or even continued to decrease. The percentages of CD4+ and CD8+ T lymphocytes showed no visible change in the improved group; however, the percentage of CD8+ T cells dropped in the unimproved group, resulting in higher CD4+/CD8+ ratio.
T lymphocytes count, and their subsets can be used for monitoring the immune functions and predicting the prognosis of COVID-19 patients.</abstract><cop>China</cop><pub>AME Publishing Company</pub><pmid>33240994</pmid><doi>10.21037/atm-20-5479</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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title | Dynamic changes of T-lymphocyte subsets and the correlations with 89 patients with coronavirus disease 2019 (COVID-19) |
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