| Literature DB >> 32861070 |
Mengzhen Dong1, Jie Zhang1, Xuefeng Ma1, Jie Tan1, Lizhen Chen1, Shousheng Liu1, Yongning Xin2, Likun Zhuang3.
Abstract
At the end of 2019, the coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in China. Currently, it is breaking out globally and posing a serious threat to public health. The typically clinical characteristics of COVID-19 patients were fever and respiratory symptoms, and a proportion of patients were accompanied by extrapulmonary symptoms including cardiac injury, kidney injury, liver injury, digestive tract injury, and neurological symptoms. Angiotensin converting enzyme 2 (ACE2) has been proven to be a major receptor for SARS-CoV-2 and could mediate virus entry into cells. And transmembrane protease serine 2 (TMPRSS2) could cleave the spike (S) protein of SARS-CoV-2, which facilitates the fusion of SARS-CoV-2 and cellular membranes. The mRNA expressions of both ACE2 and TMPRSS2 were observed in the heart, digestive tract, liver, kidney, brain and other organs. SARS-CoV-2 may have a capacity to infect extrapulmonary organs due to the expressions of ACE2 and TMPRSS2 in the cells and tissues of these organs. It seems that there is a potential involvement of ACE2 and TMPRSS2 expressions in the virus infection of extrapulmonary organs and the manifestation of symptoms related to these organs in patients with COVID-19. Here, we revealed the expressions of ACE2 and TMPRSS2 in extrapulmonary organs, and we also summarized the clinical manifestation and the management of extrapulmonary complications in patients with COVID-19.Entities:
Keywords: ACE2; COVID-19; Clinical management; Extrapulmonary organs; SARS-CoV-2; TMPRSS2
Mesh:
Substances:
Year: 2020 PMID: 32861070 PMCID: PMC7444942 DOI: 10.1016/j.biopha.2020.110678
Source DB: PubMed Journal: Biomed Pharmacother ISSN: 0753-3322 Impact factor: 6.529
Fig. 1Entry of SARS-CoV-2 into host cells.
SARS-CoV-2 infected the host cells by the spike protein of the virus and the functions of ACE2 and TMPRSS2 in host cells.
Fig. 2Tissue distributions of ACE2 and TMPRSS2 in human.
(A–B) the schematic diagram of the expressions of ACE2 (A) and TMPRSS2 (B) in multiple human tissues. The colour strength is corresponding to the gene expression level. ACE2 and TMPRSS2 were expressed in the brain and heart; ACE2 expression is expressed at a relative low level in hepatocytes and mainly located in cholangiocytes, while TMPRSS2 is expressed in the hepatocytes and cholangiocytes; ACE2 and TMPRSS2 were highly expressed in kidney and intestinal epithelial cells. Both ACE2 and TMPRSS2 were also expressed in the esophagus, stomach, nose, testis, pancreas, breast, prostate and thyroid.
Characteristics of acute cardiac injury after SARS−CoV-2 infection.
| Study | Country | Subject | Basic heart disease | Acute cardiac injury | Clinical classification of acute cardiac injury |
|---|---|---|---|---|---|
| Wang et al [ | China | 138 | 20 (14.5 %) | 10 (7.2 %) | Non-ICUcases 2/102 (2.0 %) |
| Huang et al [ | China | 41 | 6 (14.6 %) | 5 (12.2 %) | Non-ICUcases 1/28 (3.6 %) |
| Li et al [ | China | 193 | NA | 24 (12.4 %) | Non-severe cases 5/128 (3.9 %) Severecases19/65 (29.2 %) |
| Chen et al [ | China | 274 | 24 (8.8 %) | 89/203 (43.8 %) | Recoveredcases 18/109 (16.5 %) |
| Hong et al [ | Korea | 98 | 11 (11.2 %) | 11 (11.2 %) | Non-ICUcases 2/85 (2.4 %) |
| Zhou et al [ | China | 191 | 15 (7.9 %) | 33 (17.3 %) | Survivor cases 1/137 (0.7 %) |
Comorbidity with cardiac injury in COVID-19 patients with basic heart disease.
| Study | Subjects with COVID-19 | Proportion of basic heart disease | Patients with | Patients with basic heart disease | |
|---|---|---|---|---|---|
| With cardiac injury | Without cardiac injury | ||||
| Shi et al [ | 416 | 61 (14.7 %) | 82 (19.7 %) | 43.9 % (36/82) | 7.5 % (25/334) |
| Liu et al [ | 291 | 15 (4.8 %) | 15 (5.2 %) | 33.3 % (5/15) | 3.6 % (10/276) |
| Xu et al [ | 53 | 6 (11.3 %) | 30 (56.6 %) | 16.7 % (5/30) | 4.3 % (1/23) |
| Ma et al [ | 84 | 5 (6.0 %) | 13 (15.5 %) | 7.7 % (1/13) | 5.6 % (4/71) |
| Guo et al [ | 187 | 29 (15.5 %) | 52 (27.8 %) | 48.1 % (25/52) | 3.0 % (4/135) |
Characteristics of acute kidney injury after SARS−CoV-2 infection.
| Study | Country | Subject | Pre-existing kidney conditions | Abnormal renal functional indices | AKI | Clinical classification of AKI |
|---|---|---|---|---|---|---|
| Chen | China | 99 | NA | Scr 24 (24.2 %) | 3 (3.0 %) | NA |
| Wang | China | 138 | 4 (2.9 %) | NA | 5 (3.6 %) | Non-ICU cases 2/102 (2.0 %) |
| Huang | China | 41 | NA | Scr 4 (9.8 %) | 3 (7.3 %) | ICU cases 3/13 (23.1 %) |
| Guan | China | 1099 | 8 (0.7 %) | Scr 12/752 (1.6 %) | 6 (0.5 %) | Non-severe cases 1/926 (0.1 %) |
| Xu | China | 355 | NA | Scr 111 (30.7 %) | 56 (15.8 %) | Mild cases 24/244(10.7 %) |
| Li | China | 193 | NA | Scr 20 (10.4 %) | 55 (28.5 %) | Non-severe cases 12 /128 (9.4 %) |
| Chen | China | 274 | 4 (1.5 %) | NA | 29 (10.6 %) | Recovered cases 1/161 (0.6 %) |
| Hong | Korea | 98 | NA | Scr 29 (29.6 %) | 9 (9.2 %) | Non-ICU cases 1/85 (1.2 %) |
| Cheng | China | 701 | NA | Scr 101 (14.4 %) | 36 (5.1 %) | NA |
| Xiao | China | 287 | 5 (2%) | NA | 55 (19.2 %) | Non-severe cases 21/163(12.9 %) |
| Richardson | America | 5700 | 454 (8.0 %) | NA | 1370 | Cured cases 176/2081 (8.5 %) |
| Wan | China | 135 | NA | NA | 5 (3.7 %) | Mild cases 4/95 (4.2 %) |
| Li | China | 548 | 10 (1.8 %) | Scr 146/539 (27.1 %) | 95 (17.3 %) | Non-severe cases 33/279 (11.8 %) |
| Qian | China | 91 | NA | Scr 24 (26.4 %) | NA | NA |
| Pei | China | 333 | NA | NA | 35 (10.5 %) | Moderate cases 5/144 (3.5 %) |
Scr: Serum creatinine; BUN: Blood urea nitrogen; AKI: Acute kidney injury.
Characteristics of liver injury after SARS−CoV-2 infection.
| Study | Country | Subject | Patients with | Patients with abnormal liver functional indices | Abnormal liver functional indices in the Non-severe patients* | Abnormal liver functional indices in the severe patients# | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| ALT | AST | TBIL | ALT | AST | TBIL | |||||
| Chen | China | 99 | NA | ALT 28 (28.3 %) | NA | NA | NA | NA | NA | NA |
| Wang | China | 138 | 4 (2.9 %) | NA | NA | NA | NA | NA | NA | NA |
| Huang | China | 41 | 1 (2.4 %) | AST 15 (36.6 %) | NA | 7/28 | NA | NA | 8/13 (61.5 %) | NA |
| Guan | China | 1099 | 23 (2.1 %) | AST 168/757 (22.2 %) | 120/606 (19.8 %) | 112/615 | 59/594 (9.9 %) | 38/135 (28.1 %) | 56/142 (39.4 %) | 17/128 (13.3 %) |
| Xu | China | 355 | NA | ALT 91 (25.6 %) | NA | NA | NA | NA | NA | NA |
| Li | China | 193 | NA | ALT 44 (22.7 %) | 26/128 | 35/128 | 9/128 | 18/65 (27.7 %) | 38/65 (58.5 %) | 9/65 |
| Chen | China | 274 | 11 (4.0 %) | ALT 60 (21.9 %) | 30/161 | 25/161 | NA | 30/113 (26.5 %) | 59/113 (52.2 %) | NA |
| Hong | Korea | 98 | 1 (1.0 %) | ALT 19 (19.4 %) | 16/85 | 31/85 | 12/85 | 3/13 (23.1 %) | 11/13 | 4/13 |
| Richardson et al [ | America | 5700 | 30(0.5 %) | AST 3263 (58.4 %) | NA | NA | NA | NA | NA | NA |
| Wan | China | 135 | 2(1.5 %) | AST 30 (22.2 %) | NA | 15/95 | NA | NA | 15/40 (37.5 %) | NA |
| Li | China | 548 | 5 (0.9 %) | ALT 125/541 (23.1 %) | 61/275 | 64/275 (23.3 %) | 7/275 (2.3 %) | 64/266 (24.1 %) | 115/266 (43.4 %) | 17/266 (6.4 %) |
| Qian | China | 91 | NA | ALT 13(14.3 %) | NA | NA | NA | NA | NA | NA |
* Non-severe patients include patients without ICU care and recovered patients.
#Severe patients include patients with ICU care and death.
ALT: alanine aminotransferase; AST: aspartate aminotransferase; TBIL: total bilirubin.
SARS−CoV-2 detection in gastrointestinal specimens.
| Study | Subject | Gastrointestinal samples | Tested positive in gastrointestinal specimens | The positive time in gastrointestinal specimens (days) | Positive time for Gastrointestinal samples after respiratory samples were negative (days) |
|---|---|---|---|---|---|
| Xiao et al [ | 73 | Stool | 39 | 1- 12 | NA |
| Zhang et al [ | 178 | Anal swabs | 14 | NA | NA |
| Tan et al [ | 1 | Rectal swab | 1 | 18 | 3 |
| Xing et al [ | 3 | Stool | 3 | 6−30 | 8−20 |
| Younget al [ | 8 | Stool | 4 | 1−3 | NA |
| Holshue et al [ | 1 | Stool | 1 | 1 | NA |
| Lescure et al [ | 5 | Stool | 2 | 5−6 | NA |
| Tang et al [ | 1 | Stool | 1 | 9 | NA |
| Wanget al [ | 153 | Stool | 44 | NA | NA |
| Xu et al [ | 10 | Rectal swabs | 8 | 3−28 | 2−20 |
Gastrointestinal symptoms after SARS−CoV-2 infection.
| Study | Country | Subject | Diarrhoea | Nausea | Vomiting | Abdominal pain |
|---|---|---|---|---|---|---|
| Chen et al [ | China | 99 | 2 (2.0 %) | 1 (1.0 %) | 1 (1.0 %) | NA |
| Wang et al [ | China | 138 | 14 (10.1 %) | 14 (10.1 %) | 5 (3.6 %) | 3 (2.2 %) |
| Liu et al [ | China | 137 | 11 (8.0 %) | NA | NA | NA |
| Xiao et al [ | China | 73 | 26 (35.6 %) | NA | NA | NA |
| Huang et al [ | China | 41 | 1/38 (2.6 %) | NA | NA | NA |
| Guan et al [ | China | 1099 | 42 (3.8 %) | 55 (5.0 %) | 55 (5.0 %) | NA |
| Li et al [ | China | 193 | 35 (18.1 %) | 11 (5.7 %) | 5 (2.6 %) | 8 (4.1 %) |
| Chen et al [ | China | 274 | 77 (28.1 %) | 24 (8.8 %) | 16 (5.8 %) | 19 (6.9 %) |
| Zhou et al [ | China | 191 | 9 (4.7 %) | 7 (3.7 %) | 7(3.7 %) | NA |
| Wan et al [ | China | 135 | 18 (13.3 %) | NA | NA | NA |
| Li et al [ | China | 548 | 179 (32.7 %) | NA | 45 (8.2 %) | 16 (2.9 %) |
| Qian et al [ | China | 91 | 21 (23.1 %) | 11 (12.1 %) | 6 (6.6 %) | NA |
| Shi et al [ | China | 81 | 3 (3.7 %) | NA | 4 (5%) | NA |
| Young et al [ | Singapore | 18 | 3 (16.7 %) | NA | NA | NA |
| Yang et al [ | China | 52 | NA | NA | 2 (3.8 %) | NA |
| Zhang et al [ | China | 212 | 93 (43.8 %) | 44 (20.7 %) | 44 (20.7 %) | NA |
| Jin et al [ | China | 651 | 56 (8.1 %) | 18 (2.8 %) | 17 (2.6 %) | NA |
| Songel al [ | China | 51 | 5 (9.8 %) | 3 (5.8 %) | 3 (5.8 %) | NA |
| Luet al [ | China | 171 | 15 (8.8 %) | NA | 11 (6.4 %) | NA |
| Xu et al [ | China | 62 | 3 (4.8 %) | NA | NA | NA |
| Zhang et al [ | China | 140 | 18 (12.9 %) | 24 (17.3 %) | 7 (5.0 %) | 8 (5.8 %) |
| Lian et al [ | China | 465 | 36 (7.7 %) | 22 (4.7 %) | 22 (4.7 %) | NA |
| Lechien et al [ | European | 1420 | 473 (38.1 %) | 272 (19.2 %) | 272 (19.2 %) | 270 (19.1 %) |
Neurological symptoms after SARS−CoV-2 infection.
| Study | Country | Subject | Manifestation |
|---|---|---|---|
| Chen et al [ | China | 99 | Headache 8 (8.1 %) |
| Wang et al [ | China | 138 | Headache 9 (6.5 %) and dizziness 13 (9.4%) |
| Huang et al [ | China | 41 | Headache 3/38 (7.9 %) |
| Guan et al [ | China | 1099 | Headache 150 (13.6 %) |
| Li et al [ | China | 193 | Headache 20 (10.4 %) and dizziness 13 (6.7 %) |
| Wan et al [ | China | 135 | Headache 34 (32.5 %) |
| Li et al [ | China | 548 | Headache 62 (11.3 %), dizziness 56 (10.2 %) |
| Qian et al [ | China | 91 | Headache 7 (7.7 %) |
| Lechien et al [ | European | 1420 | headache 998 (70.3 %), loss of smell 997 (70.2 %), taste dysfunction 770 (54.2 %) and loss of appetite 649 (45.7 %) |
| Mao et al [ | China | 214 | Headache 28 (13.1 %), dizziness 36 (16.8 %), dysgeusia 11 (5.1 %) and hypogeusia 12 (5.6 %) |
| Lechien et al [ | European | 417 | Anosmia 284 (79.6 %) and hyposmia |
| Levinson et al [ | Israel | 42 | Anosmia 15 (35.7 %), dysgeusia14 (33.3 %) and both anosmia and dysgeusia 14 (33.3 %) |