| Literature DB >> 33538960 |
Abstract
Coronavirus Disease 2019 (COVID-19) has been a global health crisis since it was first identified in December 2019. In addition to fever, cough, headache, and shortness of breath, an intense increase in immune response-based inflammation has been the hallmark of Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) virus infection. This narrative review summarizes and critiques pathophysiology of COVID-19 and its plausible effects on drug metabolism and disposition. The release of inflammatory cytokines (e.g., interleukins, tumor necrosis factor α), also known as 'cytokine storm', leads to altered molecular pathophysiology and eventually organ damage in the lung, heart, and liver. The laboratory values for various liver function tests (e.g., alanine aminotransferase, aspartate aminotransferase, total bilirubin, albumin) have indicated potential hepatocellular injury in COVID-19 patients. Since the liver is the powerhouse of protein synthesis and the primary site of cytochrome P450 (CYP)-mediated drug metabolism, even a minor change in the liver function status has the potential to affect the hepatic clearance of xenobiotics. It has now been well established that extreme increases in cytokine levels are common in COVID-19 patients, and previous studies with patients infected with non-SARS-CoV-2 virus have shown that CYP enzymes can be suppressed by an infection-related cytokine increase and inflammation. Alongside the investigational COVID-19 drugs, the patients may also be on therapeutics for comorbidities; especially epidemiological studies have indicated that individuals with hypertension, hyperglycemia, and obesity are more vulnerable to COVID-19 than the average population. This complicates the drug-disease interaction profile of the patients as both the investigational drugs (e.g., remdesivir, dexamethasone) and the agents for comorbidities can be affected by compromised CYP-mediated hepatic metabolism. Overall, it is imperative that healthcare professionals pay attention to the COVID-19 and CYP-driven drug metabolism interactions with the goal to adjust the dose or discontinue the affected drugs as appropriate.Entities:
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Year: 2021 PMID: 33538960 PMCID: PMC7859725 DOI: 10.1007/s13318-020-00668-8
Source DB: PubMed Journal: Eur J Drug Metab Pharmacokinet ISSN: 0378-7966 Impact factor: 2.441
Summary of liver function tests and inflammation-related markers in COVID-19 patients. Data are listed as either mean (SD) or median (interquartile range)
| AST (U/l) | ALT (U/l) | T. Bilirubin (µmol/l) | Albumin (g/l) | CRP (mg/l) | LDH (U/l) | Ref. | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mild | Severe | Mild | Severe | Mild | Severe | Mild | Severe | Mild | Severe | Mild | Severe | |
| 34 (27–45) | 58 (41–93) | 41 (23–65) | 67 (47–100) | 19 (13–26) | 22 (18–28) | ND | ND | ND | ND | ND | ND | [ |
| 24.39 (9.79) | 38.87 (22.55) | 21.22 (12.67) | 37.87 (32.17) | 10.27 (4.26) | 14.12 (6.37) | 40.41 (3.24) | 34.40 (4.11) | 18.27 (29.87) | 80.75 (69.18) | 177.26 (55.29) | 346.10 (257.26) | [ |
| 24.0 (21.5–26.5) | 47.0 (28.0–74.5) | 16.0 (13.3–21.8) | 42.0 (32.5–50.0) | 7.8 (6.4–9.5) | 8.8 (7.9–10.5) | 37.2 (35.8–38.8) | 29.6 (28.6–33.0) | 22.0 (14.7–119.4) | 139.4 (86.9–165.1) | 224.0 (200.3–251.8) | 537.0 (433.5–707.5) | [ |
| 34·0 (24·0–40·5) | 44·0 (30·0–70·0) | 27·0 (19·5–40·0) | 49·0 (29·0–115·0) | 10·8 (9·4–12·3) | 14·0 (11·9–32·9) | 34·7 (30·2–36·5) | 27·9 (26·3–30·9) | ND | ND | 281·0 (233·0–357·0) | 400·0 (323·0–578·0) | [ |
| 33.21 (18.24) | 27.80 (11.42) | 24.50 (15.75–37.75) | 27.00 (21.0–41.0) | ND | ND | ND | ND | 18.76 (22.20) | 39.37 (27.68) | ND | ND | [ |
| 25.9 (9.5) | 51.2 (18.7) | 19.0 (13.5–26.0) | 27.0 (23.0–50.0) | 8.8 (4.1) | 13.2 (5.5) | ND | ND | 7.6 (3.1–57.3) | 62.9 (42.4–86.6) | 221.5 (71.2) | 462.4 (190.6) | [ |
| 22.00 (17.65–31.75) | 34.0 (27.0–47.0) | 18.70 (13.00–30.38) | 22.0 (15.0–34.0) | ND | ND | ND | ND | 3.22 (1.04–21.80) | 109.25 (35.00–170.28) | ND | ND | [ |
| 29 (23–41) | 67 (38–90) | 22 (15–34) | 47 (22–66) | 9.5 (8.4–12.9) | 11.3 (9.4–20.7) | ND | ND | ND | ND | 227 (171–329) | 456 (254–588) | [ |
| 37.5 (26.6) | 100.3 (97.0) | 30.1 (26.3) | 58.8 (93.6) | 8 (4) | 11 (6) | 39 (5) | 30 (3) | 42 (67) | 177 (95) | 555.5 (184.0) | 1272.6 (542.1) | [ |
| 22.2 (7.2) | 44.8 (20.8) | 17.5 (10.8–26.0) | 21 (15.5–40.5) | 9.1 (3.6) | 15.8 (6.8) | 35.8 (30.7–38.5) | 31.6 (27.1–32.7) | 12.9 (3.5–55.7) | 134.6 (73.2–164.1) | 256.0 (232.0–286.5) | 497.5 (428.0– 867.8) | [ |
| 42 (29–64) | 25 (20–32) | 26 (19–39) | 22 (15–35) | ND | ND | 37 (35–39) | 33 (30–35) | 111 (64–191) | 30 (8–59) | ND | ND | [ |
| 29 (21–38) | 52 (30–70) | 23 (15–36) | 35 (19–57) | 9.3 (8.2–12.8) | 11.5 (9.6–18.6) | ND | ND | ND | ND | 212 (171–291) | 435 (302–596) | [ |
| 25.0 (20.0–33.3) | 45.0 (31.0–67.0) | 20.0 (14.8–32.0) | 28.0 (18.0–47.0) | 8.4 (5.8–11.2) | 12.6 (9.4–16.7) | 36.3 (33.7–39.5) | 30.1 (27.9–33.0) | 26.2 (8.7–55.8) | 113.0 (69.1–168.4) | 268.0 (214.3–316.5) | 564.5 (431.0–715.8) | [ |
| 25 (16–52) | 43.5 (35–96) | 20 (12–61) | 28.5 (12–177) | ND | ND | ND | ND | 81 (64–24) | 201 (110–453) | 343 (209–537) | 622.5 (378–867) | [ |
| 26.53 (12.73) | 51.23 (88.67) | 31.68 (27.75) | 42.37 (48.88) | ND | ND | ND | ND | 12.93 (18.48) | 49.63 (48.11) | ND | ND | [ |
| 27.5 (19.0–42.0) | 40.0 (27.0–61.5) | 22.0 (14.0–40.5) | 27.0 (20.0–37.0) | 8.7 (6.5–12.3) | 9.6 (8.3–16.3) | 33.0 (30.6–38.1) | 33.2 (31.2–35.6) | 36.0 (19.3–91.0) | 86.4 (37.9–105.5) | ND | ND | [ |
| 27 (21–40) | 27 (19–50) | 22 (16–34) | 23 (14–49) | ND | ND | 34.9 (5.3) | 30.3 (5.1) | 45 (16–115) | 92 (43–208) | ND | ND | [ |
| 45 (25–59) | 61.5 (44–83) | 31.5 (21–46) | 34 (23–49) | 10.6 (8.7–13.9) | 11.7 (8.7–19.5) | 36.5 (33.8–39.3) | 34.6 (31.8–35.9) | 60.3 (23.6–154.4) | 165.65 (82.45–241.4) | 316 (247–397.25) | 521 (416–636) | [ |
| 24 (21–30) | 29 (22–60) | 22 (14–36) | 31 (14–45) | 10 (7.7–15) | 11.3 (8.5–13.9) | 40.7 (4.0) | 34.4 (5.2) | 6.7 (1.8–10.7) | 19.5 (9.4–41.1) | 209.2 (52.2) | 356.9 (204.6) | [ |
| 26.0 (19.0–45.0) | 35.0 (21.0–53.5) | 24.0 (16.5–45.5) | 24.0 (13.5–41.0) | ND | ND | 37.7 (33.75–40.8) | 34.40 (31.30–37.25) | ND | ND | 238.0 (189.0–321.0) | 395.0 (274.5–589.0) | [ |
| 22.4 (16.9‐30.5) | 33.6 (25.7‐44.2) | 21.7 (14.8‐36.9) | 26.6 (14.5‐33.3) | 8.6 (5.6‐14) | 9.8 (7.8‐15.6) | 49.9 (37.4‐43.6) | 36 (33–38.5) | 7.7 (1.9‐31.1) | 91 (52.7‐136.3) | 212 (179.5–259) | 309 (253.8–408.3) | [ |
| 33 (24.5–56) | 38 (30–68.3) | 27 (16–41) | 30 (20.5–56.5) | ND | ND | ND | ND | 51.1 (20.4–86.3) | 168.9 (90.2–220.8) | 347 (261–482) | 491 (378–660) | [ |
| 33.0 (20.0–54.5) | 33.5 (21.0–68.2) | 24.0 (16.5–38.5) | 29.5 (20.2–45.8) | 10.3 (7.6–17.0) | 14.5 (9.8–21.7) | 29.0 (28.1–33.0) | 27.9 (24.1–30.4) | 66.0 (29.0–122.5) | 108.9 (58.8–149.4) | 373.0 (274.5–618.5) | 558.0 (417.2–742.5) | [ |
AST aspartate aminotransferase, ALT alanine aminotransferase, T. Bilirubin total bilirubin, CRP C-reactive protein, LDH lactate dehydrogenase, ND not determined
Representative examples of inflammatory biomarkers in COVID-19 patients. Data are listed as either mean (standard deviation) or median (interquartile range)
| IL-1α (pg/ml) | IL-2R (U/ml) | IL-6 (pg/ml) | IL-8 (pg/ml) | IL-10 (pg/ml) | TNFα (pg/ml) | Ref. | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mild | Severe | Mild | Severe | Mild | Severe | Mild | Severe | Mild | Severe | Mild | Severe | |
| ND | ND | ND | ND | 10.60 (5.13–24.18 | 36.10 (23.00–59.20) | ND | ND | ND | ND | ND | ND | [ |
| ND | ND | 677 (496–1016) | 1538 (1214–1937) | 13.0 (2.4–39.8) | 124.5 (65.1–199.9) | 11.0 (6.8–21.8) | 49.1 (25.2–92.4) | 5.2 (5–7.5) | 14.9 (5.9–18.6) | 9.1 (6.1–11.0) | 17.1 (8.4–20.2) | [ |
| ND | ND | 566.5 (448.0–858.3) | 1189.0 (901.0–1781.0) | 13.0 (4.0–26.2) | 72.0 (35.6–146.8) | 11.4 (7.8–20.2) | 28.3 (18.7–72.1) | 5.0 (5.0–8.4) | 12.8 (8.8–19.6) | 7.9 (6.7–9.6) | 11.8 (8.6–17.6) | [ |
| ND | ND | ND | ND | 25.00 (3.90) | 83.31 (29.78) | ND | ND | ND | ND | ND | ND | [ |
| ND | ND | 0.93a (0.55–1.73) | 90a (0.47–1.60) | 3.82 (2.19–9.87) | 24.11 (1.14–54.37) | ND | ND | 3.13 (2.15–4.57) | 6.41 (3.24–11.02) | 1.35 (1.12–1.73) | 1.48 (1.39–1.74) | [ |
| ND | ND | ND | ND | 10.6 (5.8–21.4) | 18.7 (14.7–43.7) | ND | ND | ND | ND | ND | ND | [ |
| 0.53 | 8.85 | 0.41a | 1a | 3.17 | 37.52 | 6.76 | 15.55 | 6.6 | 33.02 | 5.85 | 15.21 | [ |
| ND | ND | ND | ND | 7.70 (5.27–19.71) | 28.91 (15.89–57.70) | ND | ND | 6.11 (5.10–7.07) | 7.75 (6.15–9.37) | ND | ND | [ |
| ND | ND | 655.0 (483.5–916.5) | 1174.0 (915.0–1552.5) | 13.1 (3.8–23.5) | 59.7 (33.5–137.4) | 12.2 (7.8–9.0) | 26.0 (14.9–49.4) | 5.0 (5.0–6.8) | 9.5 (6.7–15.9) | 8.7 (6.8–10.8) | 11.0 (8.0–14.8) | [ |
| ND | ND | ND | ND | 41.36 (15.69–180.92) | 64.62 (40.35–141.6) | 5.45 (3.25–9.72) | 6.7 (3.94–11.32) | ND | ND | [ | ||
| ND | ND | 800 (638–1145) | 1030 (942–1496) | 27.2 (12.6–62.0) | 84.3 (22.6–137.8) | 19.5 (13.1–45.3) | 47.5 (20.2–101.0) | 6.7 (5.0–10.3) | 11.1 (5.8–16.6) | 9.1 (7.3–11.1) | 9.9 (7.9–21.2) | [ |
| ND | ND | ND | ND | 31.8 (22.1–69.5) | 93.2 (35.5–214.9) | ND | ND | ND | ND | ND | ND | [ |
IL interleukin, ND not determined
*Normal vs. COVID-19
aMeasured as IL-2 (pg/ml); the rest of the data in this column are as IL-2R
Fig. 1Potential effects of COVID-19-related inflammation on hepatic cytochrome P450 regulation, drug metabolism, and clearance
Effect of inflammatory cytokines on cytochrome P450 (CYP) enzymes (either mRNA or protein) expression
| Marker | CYP1A2 | CYP2B6 | CYP2C9 | CYP2C19 | CYP2D6 | CYP3A4 | Model | Ref. |
|---|---|---|---|---|---|---|---|---|
| IL-1β | ND | ND | ND | ND | ND | ↓↓↓ | Human hepatoma cells | [ |
| IL-6 | ND | ND | ND | ND | ND | ↓↓↓ | ||
| TNFα | ND | ND | ND | ND | ND | ↓↓↓ | ||
| IL-1β | ND | ND | ND | ND | ND | ↓↓↓ | Human hepatocytes | [ |
| IL-1β | ↔ | ↔ | ↔ | ND | ND | ↔ | Human hepatocytes | [ |
| IL-6 | ↔ | ↓↓↓ | ↓ | ND | ND | ↓↓↓ | ||
| IL-6 | ↓↓ | ↓↓↓ | ND | ND | ND | ↓↓↓ | HepaRG cells | [ |
| IL-1 | ↓↓↓ | ND | ND | ND | ND | ↓↓↓ | Human hepatocytes | [ |
| IL-6 | ↓ | ND | ND | ND | ND | ↓↓ | ||
| TNFα | ↓↓ | ND | ND | ND | ND | ↓↓ | ||
| IL-1 | ND | ↔ | ↔ | ↔ | ND | ↓↓↓ | Human hepatocytes | [ |
| IL-6 | ND | ↓↓↓ | ↓↓ | ↓↓ | ND | ↓↓↓ | ||
| TNFα | ND | ↔ | ↔ | ↔ | ND | ND | ||
| IL-2 | ND | ↓↓ | ND | ND | ND | ↓↓ | Peripheral blood mononuclear cells | [ |
| IL-6 | ND | ↓ | ND | ND | ND | ↓ | ||
| IL-10 | ND | ↔ | ND | ND | ND | ↔ | ||
| IL-6 | ↓↓↓ | ↓↓↓ | ↓↓↓ | ↓↓ | ND | ↓↓↓ | Cryopreserved human hepatocytes | [ |
↓ indicates up to 25% decrease, ↓↓ indicates 26–50% decrease, ↓↓↓ indicates > 50% decrease, ↔ indicates no change, CYP cytochrome P450, IL interleukin, ND not determined
Pharmacokinetics of antiviral agents in COVID-19 patients. Except one (darunavir), all the concentrations are indicative of lopinavir levels
| Patients | Medication | Concentration | Biomarkers | Observation | Ref. |
|---|---|---|---|---|---|
| 13 | Lopinavir/ritonavir | Cmax-Cmin 20–30 mg/l | Median CRP > 170 U/l | Inflammation was associated with lower CYP concentration | [ |
| 30 | Darunavir | CL/F: IL-6 levels > 18 pg/ml: 2.78 l/h ; IL-6 levels < 18 pg/ml: 7.24 l/h (HIV: 9.75 l/h) | Median IL-6 31.0 pg/ml (HIV 2.0 pg/ml) | IL-6 was the only factor with significant association to oral clearance | [ |
| 17 | Lopinavir/ritonavir | AUC: 668,788 ng·h/ml (HIV patients: 113,200 ng·h/ml) | Median CRP 186 mg/l | Mechanically ventilated patients; positive correlation between CRP vs. lopinavir trough concentration | [ |
| 92 | Lopinavir/ritonavir | Cmin level: 26.5 µg/ml CRP > 75 mg/l: 30.7 µg/ml CRP < 75 mg/l: 20.9 µg/ml (HIV patients: 7.1 µg/ml) | Median non-ICU CRP 53 mg/l; ICU CRP 89 mg/l | Positive correlation between CRP vs. lopinavir trough concentration; tocilizumab lowered trough levels | [ |
| 12 | Lopinavir/ritonavir | Cmax: 18,150 ng/ml; Cmin: 18,000 ng/ml (HIV: 5365 ng/ml) | Median CRP: 48.9 mg/l | Hospitalized patients | [ |
| 8 | Lopinavir/ritonavir | Cmin: 13.6 µg/ml (HIV: 7.1 µg/ml) | Mean 38.05 mg/l | Association of lopinavir Cmin vs. CRP | [ |
| 21 | Lopinavir/ritonavir | Cmin: 15.235 µg/ml (HIV: 4.882 µg/ml) | CRP 77 mg/l | Concomitant exposure to hydroxychloroquine | [ |
AUC area under the concentration-time curve, Cmax maximum concentratio n, Cmin minimum concentration, CL/F clearance, CRP C-reactive protein , CYP cytochrome P450, ICU intensive care unit
Fig. 2Difference in drug metabolism and pharmacological outcomes between healthy and inflamed liver in COVID-19 patients. Lopinavir, an anti-retroviral drug that has been repurposed for COVID-19, has been taken as an example, but this prototype flowchart is applicable to all drugs that are metabolized to inactive metabolites by cytochrome P450 enzymes, especially, through the CYP3A4 isoform
Inflammation and very high cytokine levels are common in COVID-19 patients. Inflammatory cytokines are known to contribute to the hepatic dysfunction and suppression of cytochrome P450 (CYP) enzymes. COVID-19 patients may experience significantly lower hepatic drug clearance due to suppression of CYP-mediated drug metabolism by inflammatory proteins such as interleukins and tumor necrosis factor α. |