| Literature DB >> 32896750 |
Mahdieh Razmi1, Farideh Hashemi2, Elmira Gheytanchi1, Masoumeh Dehghan Manshadi2, Roya Ghods3, Zahra Madjd4.
Abstract
The global panic of the novel coronavirus disease 2019 (COVID-19) triggered by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to an urgent requirement for effective therapy. COVID-19 infection, especially in severely ill patients, is likely to be associated with immune dysregulation, prompting the development of novel treatment approaches. Therefore, this systematic review was designed to assess the available data regarding the efficacy of the immunomodulatory drugs used to manage COVID-19. A systematic literature search was carried out up to May 27, 2020, in four databases (PubMed, Scopus, Web of Science, and Embase) and also Clinicaltrials.gov. Sixty-six publications and 111 clinical trials were recognized as eligible, reporting the efficacy of the immunomodulatory agents, including corticosteroids, hydroxychloroquine, passive and cytokine-targeted therapies, mesenchymal stem cells, and blood-purification therapy, in COVID-19 patients. The data were found to be heterogeneous, and the clinical trials were yet to post any findings. Medicines were found to regulate the immune system by boosting the innate responses or suppressing the inflammatory reactions. Passive and cytokine-targeted therapies and mesenchymal stem cells were mostly safe and could regulate the disease much better. These studies underscored the significance of severity profiling in COVID-19 patients, along with appropriate timing, duration, and dosage of the therapies. Therefore, this review indicates that immunomodulatory therapies are potentially effective for COVID-19 and provides comprehensive information for clinicians to fight this outbreak. However, there is no consensus on the optimal therapy for COVID-19, reflecting that the immunomodulatory therapies still warrant further investigations.Entities:
Keywords: COVID-19; Cytokine-targeted therapy; Immunomodulatory-based therapy; Mesenchymal stem cells; Passive immunotherapy; SARS-CoV-2
Mesh:
Substances:
Year: 2020 PMID: 32896750 PMCID: PMC7456184 DOI: 10.1016/j.intimp.2020.106942
Source DB: PubMed Journal: Int Immunopharmacol ISSN: 1567-5769 Impact factor: 4.932
Fig. 1Flow chart of the search strategy according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Characteristics of included publications related with conventional therapy.
| Zheng | The risk-adapted therapy of COVID-19 cases using corticosteroid based on the illness severity | 55 mild-to-severe patients | 24/31 | 1- Non-severe group (n = 34): SOC | 0/55 (0%) | |
| Wu | Clinical characteristics associated with the | 201 | 128/73 | SOC, | 44/201 (21.9%) | |
| Zhou | Possible profits of corticosteroids for severe NCP patients | 15 critical patients | 10/5 | SOC, | 7/15 (46.7%) | |
| Wang | Assess the effect and safety of corticosteroid therapy in the severe NCP patients | 46 severe patients | 26/20 | 1- Non-corticosteroid group (n = 20): SOC, thymosin | 1- 1/20 (5%) | |
| Lu | The effect of corticosteroids as adjuvant therapy in critically NCP patients | 244 critically ill patients | 128/116 | 1- Non-Corticosteroid group (n = 93): SOC | NA | |
| case-control: 62 critically ill patients in 31 pairs | 32/32 | 1- Control (non-corticosteroid) group (n = 31): SOC | 1- 5/31 (16%) | |||
| Xu | Identify risk factors associated with persistent virus RNA shedding in NCP cases | 113 mild-to-severe patients | 70/43 | SOC, | 2/113 (1.7%) | |
| Fang | Investigate the efficiency of low-dose corticosteroid use on SARS-CoV-2 clearance time | 78 general-to-severe patients | 44/34 | 1- Non-corticosteroid group (n = 53): SOC | - There was no significant difference in virus clearance time between the corticosteroid-treated group and the non-corticosteroid in the general group (17.6±4.9 vs. 18.7±7.7 days) and cases in the severe group (18.8±5.3 vs. 18.3±4.2 days). | NA |
| Wang | Evaluate the clinical features of hospitalized NCP patients | 138 patients | 75/63 | SOC, | 6/138 (4.3%) | |
| Wan | Describe the clinical characteristics, therapies and outcomes of NCP patients | 135 mild-to-severe patients | 72/63 | SOC, traditional Chinese medicine, | 2.5% | |
| Mo | Clinical characteristics of refractory COVID-19 pneumonia | 155 general and refractory patients | 86/69 | SOC, i.v. | NA | |
| Zheng | Clinical Characteristics of Children with COVID-19 pneumonia | 25 pediatric cases | 14/11 | SOC, Two critical cases received | - Children were prone to NCP like adults, while the clinical symptoms were more desirable in children | 0/25 (0%) |
| Sun | Assess clinical features, therapies and outcomes of pediatric NCP cases | 8 severe or critical pediatric patients | 6/2 | SOC, i.v. | - Severely ill cases had a disease duration of over 10 d, but critical patients had over 20 d | 0/8 (0%) |
| Xu | Assess the clinical features of NCP patients | 62 mild or moderate patients | 35/27 | SOC, | 0/62 (0%) | |
| Wang | Describe clinical features in COVID-19 patients | 125 mild-to-critical patients | 71/54 | SOC, | 0/125 (0%) | |
| Liu | Analyze the clinical symptoms, treatments, and prognosis of NCP cases | 137 critically ill patients | 61/ 76 | SOC, | 16/137 (11%) | |
| Zhou | Treatment of a COVID-19 patient with spontaneous pneumomediastinum | One patient | A 38-year-old man | First 10 days: SOC, | 0/1 (0%) | |
| Zha | Evaluate the effect of corticosteroid in cases with COVID-19 | 31 mild COVID-19 without ARDS | 20/11 | 1- Non-corticosteroid group (n = 20): SOC | 0/31 (0%) | |
| Gautret | Assess the impact of | 36 | 15/21 | 1- Control group (n = 16): SOC | 1/36 (2.7%) | |
| Gautreta | Assess the Clinical impact of a combination of HCQ and AZ on NCP cases | 80 | 43/37 | 1/80 (1.2%) | ||
| Milliona | Assess the early therapy of NCP cases with HCQ and AZ | 1061 | 492/569 | 10/1061 (0.9%) | ||
| Chen | Evaluate the effect | 62 | 29/33 | 1- Control group (n = 31): SOC | NA | |
| Huang | Assess the effect and safety of CQ in NCP cases compared to the cases treated with Lopinavir/Ritonavir | 22 (8 sever and 14 moderate patients) | 13/9 | 1- Control group (n = 12): 5 severe and 7 moderate cases received 400/100 mg of oral Lopinavir/Ritonavir twice daily for 10 d | 0/22 (0%) | |
| Wan | Investigate the relationship between cytokines and PII in COVID-19 progression and response to treatment | 123 mild-to-severe patients | 66/57 | SOC, | 4/123 (3.2%) | |
| Mahévas | Assess the effectiveness of oral HCQ in preventing admission to ICU and/or death | 181 patients requiring oxygenation | 128/53 | 1- No-HCQ group (n = 97): SOC, the absence of HCQ use during 48 h of admission | 1- 4.6% | |
| Geleris | Examine the association between HCQ use and respiratory failure | 1376 mild-to-severe patients | 781/595 | 1- Control group (n = 562): SOC, some cases given ACE inhibitor, glucocorticoid, AZ, TCZ, remdesivir | 232/1376 (16%) | |
| Molina | Explore virologic and clinical outcomes of HCQ and AZ on NCP cases | 11 | 7/4 | 1/11 (9.09%) | ||
| Tang | An open–label, randomized, controlled trial assessing the efficacy and safety of HCQ plus SOC compared with SOC alone in NCP patients | 150 patients | 82/68 | 1- Control group (n = 75): SOC | NA | |
| Chorin | Evaluate the changes in QTc interval and arrhythmic events in cases with COVID-19 received HCQ/AZ | 251 hospitalized patients | 188/63 | 44/251 (17.5%) | ||
| Magagnoli | Assess the effect of HCQ alone or in combination with | 368 | 368 male | 1- No-HCQ (n = 158) | 1- 18/158 (11.4%) | |
| Borba | Evaluate the safety and efficacy of two different CQ doses in severe NCP cases | 81 severe patients | 60/21 | 1- High-dosage group (n = 41): SOC, AZ, | 1- 16/41 (39%) | |
| Perinel | Explore the PK characteristic of HCQ in ICU NCP cases to define the optimal dosing regimen | 13 | 11/2 | SOC, oral | - HCQ levels 1–2 mg/L were regarded to be curative. Only 8/13 cases (61%) reached the minimum curative level of 1 mg/L and 2/13 cases exceeded over 2 mg/L. | NA |
COVID-19: coronavirus disease 2019, SARS-CoV-2: severe acute respiratory syndrome coronavirus 2, SOC: standard of care (antibiotics, anti-virals, oxygen therapy, non-invasive or invasive ventilation, ECMO and supportive care according to severity of disease), NCP: novel coronavirus pneumonia, MP: methylprednisolone, IL-6: interleukin-6, PII: pulmonary inflammation index, SOFA: sequential organ failure assessment score (range 0–24, with higher scores indicating more severe illness), CT: computed tomography, IVIG: intravenous immunoglobulin, SpO2: percutaneous oxygen saturation, TTCR: time to clinical recovery, FiO2: fraction of inspired oxygen. PaO2: partial pressure of oxygen, i.v.: intravenous, ICU: intensive care unit, CRP: C-reactive protein, ARDS: acute respiratory distress syndrome, HR: hazard ratio, HCQ: hydroxychloroquine, AZ: azithromycin, CQ: chloroquine, d: day(s), TCM: traditional Chinese medicine, CRRT: continuous renal replacement therapy, PK: pharmacokinetic, ACE2: angiotensin-converting enzyme 2, OR: odds ratio.
Characteristics of included publications related with modern therapy.
| Xu | The efficacy of TCZ in curing severe or critical COVID-19 cases | 21 severe or critical patients | 18/3 | SOC, one (n = 18) or two (n = 3) doses of | 0/21 (0%) | |
| Giamarellos-BourboulisGreece | Describe immune responses of 54 NCP patients, 28 of whom had severe respiratory failure (SRF) | 54 patients | 40/14 | - All patients with SRF revealed either MAS or immune dysregulation characterized by low expression of HLA-DR on CD14 monocytes, along with intense exhaustion of CD4 lymphocytes, CD19 lymphocytes, and NK cells. | NA | |
| Luo | Assess the therapeutic effects of TCZ in the COVID‐19 cases | 15 moderate-to- critical patients | 12/3 | 3/15 (20%) | ||
| Guo | The immune network with TCZ therapy at single cell resolution | 2 severe patients | - | - Based on the single-cell transcriptomes profile of peripheral blood mononuclear cells isolated from two severe COVID-19 cases pre-treated with TCZ, a monocyte subpopulation was identified only in patients at severe stage connected by the inflammatory cytokines and their receptors. | NA | |
| Cellina | Assessing of CT results in a COVID-19 patient, who received TCZ | one patient | 64-year-old man | SOC, 2 doses of | 0/1 (0%) | |
| Giambenedetto | Off-label administration of TCZ in NCP patients | 3 | 3 male | Anti-virals (lopinavir/ritonavir plus HCQ), two or three doses of | 0/3 (0%) | |
| Sciascia | Assess on off-label usage of | 63 hospitalized | 56/7 | SOC, either | 7/63 (11%) | |
| Klopfenstein | A retrospective case-control study compared the outcome of cases cured with TCZ and patients without TCZ | 45 severely or critically ill patients | NA | 1- Patients without TCZ (n = 25): SOC | 1- 48% | |
| Roumier | IL-6 blockade for severe COVID-19 | 30 severe patients | 24/6 | SOC, | 3/30 (10%) | |
| Alattar | Explore the clinical features and outcomes of severe NCP patients in ICU treated with the TCZ | 25 severe patients | 23/2 | SOC, | 3/25 (12%) | |
| Radbel | Assess the efficacy of TCZ therapy for COVID-19-induced CRS | 2 patients | 1/1 | SOC, one or two dosing of | 2/2 (100%) | |
| Morrison | Evaluate the short-term side effects of TCZ including hypertriglyceridemia in COVID-19 cases | 2 severe patients with ARDS | 2 male | lopinavir/ritonavir, ribavirin, HCQ, propofol (discontinued before TCZ), | NA | |
| Antinori | Assess the safety and efficacy of TCZ in severe COVID-19 patients | 43 severe patients | NA | SOC, | NA | |
| Gritti | Assess the effect of siltuximab in COVID-19 pneumonia requiring ventilation | 21 patients with ARDS | 18/3 | SOC, intravenous | 1/21 (5%) | |
| Filocamo | Evaluate the efficacy of anakinra in a critical COVID-19 case | A critical COVID-19 | 50 year-old man | SOC, | 0/1 (0%) | |
| Aouba | Targeting the inflammatory pathways with anakinra in NCP patients | 9 severe patients | 8/1 | SOC, | 0/9 (0%) | |
| Cavalli | Assess the clinical outcomes of NCP patients with ARDS, who administrated anakinra compared with a historical cohort without anakinra. | 52 moderate-to-severe patients with ARDS | 43/9 | 1- Historical control group (n = 16): SOC | - Low-dose anakinra was discontinued after 7 days because neither was associated with decreases in CRP nor with recovery in clinical conditions. | 1- 7/16 (44%) |
| Leng | Explore the therapeutic potential of MSC transplantation for COVID-19 cases | 10 patients: | 4/6 | 1- placebo control group (n = 3): SOC, | 1- 1/3 (33%) | |
| Liang | The clinical outcome of hUCMSCs therapy in a critical NCP patient | One critical patient | 65-year-old female | SOC, glucocorticoid, thymosin α1, three i.v. infusions of 5 × 107 (each time) | 0/1 (0%) | |
| Shu | Determine the efficiency and safety of hUCMSC infusion | 41 | 24/17 | 1- Control group (n = 29): SOC | 1- 3/29 (10.3%) | |
| Zhang | The therapeutic efficacy of hWJCs on NCP patients | A severe | a 54-year-old man | SOC, dexamethasone 2 mg, the adoptive transfer therapy of | 0/1 (0%) |
SOC: standard of care (antibiotics, anti-virals, oxygen therapy, non-invasive or invasive ventilation, ECMO and supportive care according to severity of disease), NCP: novel coronavirus pneumonia, MP: methylprednisolone, IL-6: interleukin-6, TCZ: tocilizumab, HCQ: hydroxychloroquine, CT: computed tomography, FiO2: fraction of inspired oxygen. PaO2: partial pressure of oxygen, i.v.: intravenous, ICU: intensive care unit, CRP: C-reactive protein, ARDS: acute respiratory distress syndrome, HR: hazard ratio, d: day(s), PK: pharmacokinetic, OR: odds ratio, SRF: severe respiratory failure, MAS: macrophage activation syndrome, HLA-DR: human leukocyte antigen D related, NK: natural killer, TNF-a: Tumor necrosis factor-a, hUCMSC: allogeneic human umbilical cord MSC, CRS: cytokine release syndrome, sHLH: secondary hemophagocytic lymphohistiocytosis, MSCs: Mesenchymal stem cells, ALT: alanine aminotransferase, AST: aspartate aminotransferase, AT2: alveolar type II, hWJCs: human umbilical cord Wharton’s jelly-derived MSCs, s.c.: subcutaneous, IQR: interquartile range, DC: Dendritic cell.
Characteristics of included publications related with passive immunotherapy and blood-purification therapy.
| Zhang | Explore clinical impacts of CP in one COVID-19 case | One critical patient | a 64-year-old female | 200 mL of CP with high IgG titers (≥1:320) | 0/1 (0%) | |
| Duan | Evaluate the possibility of CP therapy in severe NCP cases | 10 severe patients | 6/4 | 1- Historic control group (N = 10): SOC | 1- 3/10 (30%) | |
| Shen | Assess whether the use of CP | 5 critically ill patients | 3/2 | SOC, 2 infusions of 200-250 mL of | 0/5 (0%) | |
| Zhang | Treatment using CP for critical patients infected with SARS-CoV-2 | 4 critical | 2/2 | SOC, | 0/4 (0%) | |
| Ye | Evaluate the efficacy of CP therapy in COVID-19 patients | 6 | 3/3 | SOC, one to three cycles of | 0/6 (0%) | |
| Young Ahn | Evaluate the CP transfusion in COVID-19 cases with ARDS | two severe patients | 1/1 | SOC, MP | 0/2 (0%) | |
| Cao | Therapy with high-dose IVIG at the time of initiation of respiratory distress in COVID-19 cases | 3 Severe patients | 2/1 | SOC, high-dose | 0/3 (0%) | |
| Mohtadi | the effects of IVIG use in severely ill COVID-19 cases | Five severe patients | 1/4 | SOC, high-dose | 0/5 (0%) | |
| Xie | Evaluate the efficacy of IVIG use before (≤48 h group) and after (>48 h group) 48 h of ICU admission in the cure of severe COVID-19 patients. | 58 severe or critical patients | 36/22 | SOC, heparin, Thymosin, low dosage of glucocorticoids (1-2 mg/kg) for 5-7 days depending on their condition, | 1- ≤48 h group: 7/58 (12%) | |
| Shao | Effect of IVAG use in curing of critical NCP patients | 325 patients: 222 severe type and 103 critical | 189/136 | 1- Non-IVIG group (n = 151) | 28-day mortality: 42/325 (13%) | |
| Ma | the impact of blood-purification therapy in decreasing cytokine storm of | three critical patients | 3 male | SOC, IVIG, MP, blood-purification therapy (( | 1/3 (33%) | |
| Shi | Therapy of a critical COVID-19 patient using PE followed by IVIG | One critical patient | a 50-year-old woman | SOC, GSF, corticosteroid (i.v. 80 mg and halved to 40mg two days later), four consecutive sessions of | 0/1 (0%) | |
| Yang | Assess the effect of CRRT on | 36 hospitalized patients | 30/6 | 1- Non-CRRT group (n = 14): SOC | 1- 11/14 (78.6%) | |
| Yang | Highlight the clinical course and outcomes of critical NCP patients | 52 critical patients that a total of 9 cases used CRRT | 35/17 | SOC, corticosteroid, Immunoglobulin, | 32/52 |
COVID-19: coronavirus disease 2019, SARS-CoV-2: severe acute respiratory syndrome coronavirus 2, SOC: standard of care (antibiotics, anti-virals, oxygen therapy, non-invasive or invasive ventilation, ECMO and supportive care according to severity of disease), NCP: novel coronavirus pneumonia, CP: convalescent plasma, MP: methylprednisolone, IL-6: interleukin-6, SOFA: sequential organ failure assessment score (range 0–24, with higher scores indicating more severe illness), CT: computed tomography, IVIG: intravenous immunoglobulin, SpO2: percutaneous oxygen saturation, FiO2: fraction of inspired oxygen. PaO2: partial pressure of oxygen, i.v.: intravenous, ICU: intensive care unit, CRP: C-reactive protein, ARDS: acute respiratory distress syndrome, HR: hazard ratio, HCQ: hydroxychloroquine, AZ: azithromycin, CQ: chloroquine, d: day(s), TCM: traditional Chinese medicine, CRRT: continuous renal replacement therapy, PK: pharmacokinetic, ACE2: angiotensin-converting enzyme 2, OR: odds ratio, PE: plasma exchange, CRRT: continuous renal replacement therapy, GSF: human granulocyte stimulating factor, IgG: Immunoglobulin G.
Fig. 2Summary of available therapeutic options to modulate COVID-19 Immunopathology. 1- Mechanism of action, 2- Target population, 3- Main therapeutic regimen, 4- Advantages of immunomodulatory therapies, 5- Main reported safety, 6- Mortality risk (Figure created with BioRender.com).