| Literature DB >> 35070210 |
XiaoTian Zhang1, Yanhui Yu1, Chao Zhang2, Hongrui Wang3, Lijuan Zhao3, Hua Wang3, Yingying Su4, Ming Yang3.
Abstract
Many studies have shown that patients with Coronavirus disease 2019 (COVID-19) have different degrees of liver injury. However, the mechanisms of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) invasion into the liver are still not fully understood. This review mainly summarizes the recently published works on the abnormal liver biochemical indicators and the mechanism of viral invasion with liver injury in COVID-19 patients. Generally, SARS-CoV-2 infection of the liver was caused by blood circulation or retrograde infection of the digestive tract, which led to the liver injury through direct cytopathic effect induced by virus or immunopathological effect caused by excessive inflammation. Besides these, hypoxia, endothelial injury and drug-induced jury were also the main reasons of liver injury in COVID-19 patients. In the liver function indicators, elevated alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, gamma-glutamyl transpeptidase, and lactate dehydrogenase levels with reduced albumin levels were observed in COVID-19 patients.Entities:
Keywords: Biochemical indicator; COVID-19; Liver injury; SARS-CoV-2; Viral invasion
Year: 2022 PMID: 35070210 PMCID: PMC8747016 DOI: 10.4084/MJHID.2022.003
Source DB: PubMed Journal: Mediterr J Hematol Infect Dis ISSN: 2035-3006 Impact factor: 2.576
Figure 1Routes of SARS-CoV-2 infecting liver. SARS-CoV-2 entered the airway epithelial cells and alveoli. Due to a large number of viral replication and the accumulation of a variety of pro-inflammatory cytokines and chemokines, the alveolar epithelial cells were damaged with reactive proliferation, shedding. SARS-CoV-2 can diffuse from the damaged alveoli into the capillaries and spread through the blood circulation. After SARS-CoV-2 invades the intestinal tract, it can damage the intestinal mucosal epithelium and vascular barrier, and enters the liver through the portal vein. Then SARS-CoV-2 can reach bile through intercellular vesicle pathway after the virus infects hepatocytes. SARS-CoV-2 may reach and infect the intestine through the bile, and then cause the secondary infection of the intestine.
Figure 2Liver biochemistry abnormalities and molecular mechanism of hepatic injury in COVID-19 infection. SARS-CoV-2 invade the liver through the digestive tract or the circulation. The main mechanisms of liver injury include: direct action of the virus, hypoxia and vascular endothelial injury, drug-induced liver injury and immunoinflammatory injury caused by cytokine storm. SARS-CoV-2 can directly cause hepatocyte damage, showing swelling of mitochondria and expansion of endoplasmic reticulum, and cause abnormal liver transaminase, mainly manifested as increased levels of ALT, AST, LDH, TBIL, GGT and ALP and decreased levels of ALB.
Liver biochemical of COVID-19 patients at admission or during hospitalization.
| References | Countries and regions | Sample size (n) | Abnormal liver biochemical indicators No. (%) | ||||||
|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||
| ALT | AST | GTT | ALP | LDH | ALB | TBIL | |||
| Zhou et al. | Wuhan, China | 191 | 59 (31%) | NA | NA | NA | 123 (67%) | NA | NA |
| Zhang et al. | Wuhan, China | 82 | 22 (30.6%) | 44 (61.1%) | NA | NA | 68 (93.2%) | 56 (77.8%) | 22 (30.6%) |
| Cai et al. | Shenzhen, China | 417 | 54 (14.9%) | 76(18.2%) | 68 (16.3%) | 16(4.8%) | NA | NA | 96 (23.1%) |
| Chen et al. | Wuhan, China | 99 | 28 (28.3%) | 35 (35.4%) | NA | NA | 75 (76%) | 97 (98%) | 18 (18.2%) |
| Wang et al. | Beijing. China | 105 | 17 (16.2%) | 9 (18%) | NA | NA | NA | NA | 2(4%) |
| Chen et al. | Wuhan, China | 274 | 60 (22%) | 84 (31%) | NA | NA | 116 (42%) | 96 (35%) | NA |
| Zhao et al. | Jingzhou, China | 91 | 10 (11.0%) | 18 (19.8%) | NA | NA | NA | NA | NA |
| Yang et al.70 | Wenzhou, China | 149 | 18 (12.1%) | 27 (18.1%) | NA | NA | 45 (30.2%) | 9 (6%) | 4 (2.7%) |
| Zheng et al.71 | Changsha, China | 161 | 13 (8.1%) | 22 (13.7%) | NA | NA | 38 (23.6%) | NA | 9 (5.6%) |
| Zhang et al. | Wuhan, China | 115 | 11 (9.6%) | 17 (14.8%) | 15 (13%) | 6 (5.2%) | 23% | 63 (54.78%) | 8 (7.0%) |
| Pan et al. | Hubei, China | 204 | 27 (13.2%) | 22 (10.8%) | NA | NA | NA | NA | NA |
| Fan et al. | Shanghai, China | 148 | 27 (18.2%) | 32 (21.6%) | 26 (17.6%) | 6 (4.1%) | NA | NA | 9 (6.1%) |
| Qian et al.72 | Shanghai, China | 324 | 51 (15.7%) | 53 (16.4%) | NA | 4 (1.2%) | NA | 136 (42%) | 21 (6.5%) |
| Wu et al. | Jiangsu, China | 80 | 3 (3.75%) | 3 (3.75%) | NA | NA | 17 (21.3%) | 2 (2.5%) | 1(1.3%) |
| Yip et al. | Hong Kong, China | 1040 | 184 (22.5%) | 184 (22.5%) | NA | NA | NA | NA | NA |
| Sun et al.73 | Nanyang, China | 150 | 24 (16%) | 15 (10%) | NA | NA | 47 (31%) | NA | 3 (2%) |
| Wu et al. | Wuhan, China | 157 | 12 (7.6%) | 25 (16.9%) | NA | NA | 32 (21.6%) | NA | NA |
| Du et al. | Wuhan, China | 85 | 14 (16.5%) | 28 (32.9%) | NA | NA | 70 (82.4%) | 67 (78.8%) | 30 (35.3%) |
| Guan et al.74 | 30 provinces, China | 1099 | 158 (21.3%) | 168(22.2%) | NA | NA | 277 (41.0%) | NA | 76 (10.5%) |
| Cai et al. | Shenzhen, China | 298 | 39 (13.1%) | 25 (8.4%) | 51 (17.1%) | 1 (0.3%) | 23 (8.4%) | NA | 24 (8.1%) |
| Zhang et al. | Wuhan, China | 95 | 52 (54.7%) | 45 (47.4%) | NA | NA | 74(77.9%) | NA | NA |
| Richardson et al. | New York, USA | 5700 | 2176 (39.0%) | 3263 (58.4%) | NA | NA | NA | NA | NA |
NA not available, ALT, alanine aminotransferase; AST, aspartate transaminase; GGT, gamma-glutamyltransferase; ALP, alkaline phosphatase; LDH, lactate dehydrogenase; ALB, albumin; TBIL, total bilirubin abnormal.
Liver biochemical of COVID-19 patients at different disease severity.
| References | Country | Group | Patients ( | ALT (U/L) | AST (U/L) | GGT (U/L) | ALP (U/L) | LDH (U/L) | ALB (g/L) | TBIL (μmol/L) |
|---|---|---|---|---|---|---|---|---|---|---|
| Du et al.75 | Wuhan, China | Survivors | 158 | 22 (14–41) | 28 (19–42) | 29 (17–55) | NA | NA | 33 (31–38) | 9 (7–12) |
| Deceased | 21 | 27 (20–37) | 40 (27–62) | 23 (17–42) | NA | NA | 33(31–36) | 10 (8–16) | ||
| Survivor | 137 | 27(15–40) | NA | NA | NA | 254 (219–318) | 34 (31–36) | NA | ||
| Zhou et al. | Wuhan, China | Non-survivor | 54 | 40(24–51) | NA | NA | NA | 521 (363–669) | 29 (27–31) | NA |
| Lei et al. | China | Non-severe | 4585 | 23(15–38) | 22(17–31) | NA | 65(51–83) | NA | 38(35–41) | 10(8–14) |
| Severe | 1186 | 26(17–45) | 31(21–46) | NA | 63(50–84) | NA | 36(32–39) | 11(8–15) | ||
| Wang et al. | Wuhan, China | Non-ICU | 102 | 23 (15–36) | 29 (21–38) | NA | NA | 212 (171–291) | NA | 9 (8–13) |
| ICU | 36 | 35 (19–57) | 52 (30–70) | NA | NA | 435 (302–596) | NA | 12 (10–19) | ||
| Wang et al.76 | Wuhan, China | Survivors | 274 | 28 (17–43) | 29 (22–43) | NA | NA | 286 (220–355) | NA | NA |
| Deaths | 65 | 24 (19–49) | 43 (30–68) | NA | NA | 439 (360–643) | NA | NA | ||
| Mo et al.77 | Wuhan, China | General | 70 | 20 (15–33) | 32 (23–38) | NA | NA | 241 (198–338) | 39 (36–42) | NA |
| Refractory | 85 | 28 (17–42) | 37 (25–56) | NA | NA | 293 (193–434) | 36 (32–40) | NA | ||
| Cai et al. | Shenzhen, China | Non-severe | 240 | 30 (22–38) | 28 (19–37) | 34 (23–44) | 82 (49–98) | 168 (124.8–261.5) | NA | 14 (8–18) |
| Severe | 58 | 42 (28–78) | 38 (23–66) | 47 (31–152) | 87 (54–106) | 227 (173–312) | NA | 21 (13–25) | ||
| Cai et al. | Shenzhen, China | Non-severe | 233 | 41 (23–65) | 34 (27–45) | 40 (25–61) | 69 (57–89) | NA | NA | 19 (13–26) |
| Severe | 85 | 67 (47–100) | 58 (41–93) | 92 (53–161) | 79 (62–101) | NA | NA | 22 (18–28) | ||
| Zheng et al.71 | Changsha, China | Non-severe | 131 | 19(15–18) | 23 (19–29) | NA | NA | 162(134–209) | NA | 11 (8–15) |
| Severe | 30 | 24 (18–35) | 32 (26–49) | NA | NA | 226(194–315) | NA | 13(9–17) | ||
| Zhang et al. | Wuhan, China | Mild | 84 | 21 (13) | 24 (10) | 29 (25) | 72(24) | 177(55) | 40(3) | 10 (4) |
| Severe | 31 | 38 (32) | 39 (23) | 57 (73) | 80 (25) | 346 (257) | 34 (4) | 14 (6) | ||
| Wu et al.78 | Jiangsu, China | Mild | 197 | 20 (16–38) | 26 (21–34) | NA | NA | 184 (155–262) | 42 (39–45) | 7 (5–12) |
| Severe | 83 | 24 (18–38) | 26 (23–39) | NA | NA | 235 (170–355) | 38 (33–39) | 7 (6–13) | ||
| Qian et al.72 | Shanghai, China | Non-severe | 298 | 22(15–32) | 23(18–31) | 24(15–41) | 57(48–67) | NA | 41(4) | 8(7–11) |
| Severe | 26 | 26(19–35) | 34(25–52) | 28(21–63) | 59(48–70) | NA | 36(5) | 11(9–15) | ||
| Huang et al. | Jiangsu, China | Non-severe | 179 | 25(18–35) | NA | NA | NA | 226(174–357) | 41(38–45) | 10 (7–14) |
| Severe | 23 | 31(25–51) | NA | NA | NA | 369(248–638) | 38(34–41) | 10(7–15) | ||
| Wan et al.79 | Chongqing, China | Mild | 95 | 22(15–37) | 22(17–31) | NA | NA | 212 (180–259) | 50 (37–44) | 9 (6–14) |
| Severe | 40 | 27 (154.5–33) | 34(26–44) | NA | NA | 309 (254–408) | 36(33–39) | 10(8–16) | ||
| Chen et al. | China | Recovered | 161 | 20 (14.8–32) | 25 (20–33.3) | 28 (19–45.3) | 64 (51–77) | 268(214–317) | 36 (34–40) | 8 (6–11) |
| Deaths | 113 | 28 (18–47) | 45 (31–67) | 42 (27–70) | 76 (60–118) | 565(431–716) | 30 (28–33) | 13 (9–16) |
NA not available, ALT, alanine aminotransferase; AST, aspartate transaminase; GGT, gamma-glutamyltransferase; ALP, alkaline phosphatase; LDH, lactate dehydrogenase; ALB, albumin; TBIL, total bilirubin abnormal.
P<0.05 compared to the other group.