| Literature DB >> 33765611 |
Mahda Delshad1, Naeimeh Tavakolinia2, Atieh Pourbagheri-Sigaroodi3, Ava Safaroghli-Azar3, Nader Bagheri4, Davood Bashash5.
Abstract
The incidence of the novel coronavirus disease (COVID-19) outbreak caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has brought daunting complications for people as well as physicians around the world. An ever-increasing number of studies investigating the characteristics of the disease, day by day, is shedding light on a new feature of the virus with the hope that eventually these efforts lead to the proper treatment. SARS-CoV-2 activates antiviral immune responses, but in addition may overproduce pro-inflammatory cytokines, causing uncontrolled inflammatory responses in patients with severe COVID-19. This condition may lead to lymphopenia and lymphocyte dysfunction, which in turn, predispose patients to further infections, septic shock, and severe multiple organ dysfunction. Therefore, accurate knowledge in this issue is important to guide clinical management of the disease and the development of new therapeutic strategies in patients with COVID-19. In this review, we provide a piece of valuable information about the alteration of each subtype of lymphocytes and important prognostic factors associated with these cells. Moreover, through discussing the lymphopenia pathophysiology and debating some of the most recent lymphocyte- or lymphopenia-related treatment strategies in COVID-19 patients, we tried to brightening the foreseeable future for COVID-19 patients, especially those with severe disease.Entities:
Keywords: COVID-19; Lymphocytes; Lymphopenia; Pathophysiology; Prognosis; SARS-CoV-2
Mesh:
Year: 2021 PMID: 33765611 PMCID: PMC7969831 DOI: 10.1016/j.intimp.2021.107586
Source DB: PubMed Journal: Int Immunopharmacol ISSN: 1567-5769 Impact factor: 5.714
Fig. 1A glance at the effect of SARS-CoV-2 on B lymphocytes. While infection with SARS-CoV-2 decreases the number of both naïve and memory B cells (switched and non-switched) (a), the percentage of plasmablasts, plasma cells, and IgD-/CD27- B cells is increased noticeably in COVID-19 patients (b). Moreover, B cell activation-related genes, such as S100A8, IGLL5, SSR3, IGHA1, XBP1, and MZB1 were mainly expressed in the memory B cells and plasma cells (MPBs) (c). There is also evidence of prominent loss of germinal centers in the lymph nodes and spleen coupled with the depletion of Bcl-6+ B cells but the maintenance of AID+ counterparts in acute COVID-19, which in turn, lead to reduced durability of humoral responses (d). Due to the elevation in the amount of sub-neutralizing or cross-reactive non-neutralizing antiviral antibodies especially IgG, a mechanism entitled antibody-dependent enhancement (ADE) happens by which the pathogenesis of COVID-19 is boosted via enhanced viral replication (e).
Fig. 2A glance at the effect of SARS-CoV-2 on T cells and NK cells. Both CD4+ and CD8+ T cells __specific against different parts of the virus including spike (S), membrane (M), nucleocapsid (N), and nonstructural proteins (NSPs)__ were recognized in 100% and 70% of convalescing COVID-19 patients’ epitope pools, respectively. Spike-specific CD4+ T cell responses were associated with the elevation in the amount of the anti-virus IgG and IgA (a). In addition, SARS-CoV-2 infection frequently stimulated TH1 cell polarization, as they produced a high level of IFNγ. Also, the percentage of TH17 may increase in COVID-19 patients (b). The virus endocytosis and degradation are taken place by the APCs like dendritic cells (DCs) and then the antigens of the virus are presented by MHCs to the T cells. When a CD8+ T cell binds to MHC-I, clonal expansion occurs and infected cells are directly targeted via secretion of cytotoxic proteins, such as perforin and granzymes. In the case of CD4+ T cells involvement, they can activate SARS-CoV-2-specific B cells to clonally proliferate and secrete antibodies to target the SARS-CoV-2 virus (c). The CD4:CD8 ratio is increased in COVID-19 patients which may be explained, at least partly, by the migration of CD8+ T cells to the respiratory tract. Also, the percentage of circulating Tregs is decreased mainly due to apoptosis of these regulatory cells as a result of IL-2 neutralization by the increased level of sCD25 (d). Increased secretion of pro-inflammatory cytokines leads to over-expression of PD-1, Tim-3, and NKG2A, which is suggestive of the ability of SARS-CoV-2 in enforcing exhaustion phenotype in T cells (e). Also, IL6 could hamper the expression of both GrB and NKG2D, an event which in turn leads to decreased cytotoxicity of NK cells (f).
A summary of the prognostic factors associated with lymphocytes in COVID-19.
| Patients No. | Age (Y) | Female | Outcome | Ref | |
|---|---|---|---|---|---|
| 198 | X: 50 | 49% | In this single centre cohort of COVID-19 patients, the most common symptom was fever, and the most common laboratory abnormality was decreased blood T cell counts (45.8% patients on admission). Patients admitted to ICU were older and had a significant reduced T lymphocytes. | ||
| 452 | M: 58 | 48% | T lymphopenia, in particular, decrease of CD4+ T cells, were common among patients with COVID-19, and more evident in the severe cases. But no significant change was observed in the number of CD8+ cells and B cells. | ||
| 187 | M: 62 | 45% | As the severity of COVID-19 getting worse, the counts of T lymphocyte drop lower. 28 patients died in hospital, the median T and B lymphocyte were significantly lower in the expired cases than other patients. Lower counts (/µL) of T lymphocyte subsets and B cells were associated with higher risks of in-hospital death of CIVID-19. | ||
| 1099 | M: 47 | 42% | Lymphopenia was present in 83.2% of the patients on admission, and patients with severe disease had more prominent lymphopenia and leukopenia than those with non-severe disease. | ||
| 191 | ≥18 | 38% | Baseline lymphocyte count was significantly higher in survivors than non-survivors. In survivors, lymphocyte count was lowest on day 7 after illness onset and improved during hospitalization, whereas severe lymphopenia was observed until death in non-survivors | ||
| 135 | M: 47 | 50 | Compared to the mild cases, the severe ones had lower lymphocyte counts and higher plasma levels of d‐dimer, LDH, and CRP | ||
| 138 | M: 56 | 46% | During hospitalization, most patients had marked lymphopenia, and non-survivors developed more severe lymphopenia over time. White blood cell counts and neutrophil counts were higher in non-survivors than those in survivors. | ||
| 242 | M: 57 | 50% | Lower lymphocyte percentage was found in severe cases, compared to non-severe cases. Noticeably, the percentages, but not absolute counts of lymphocytes, were lower in severe patients when compared to non-severe patients. | ||
| 150 | <20–90 | NA | There were significant differences in white blood cell counts, absolute values of lymphocytes, CRP, and IL-6 between died and discharged groups. | ||
| 52 | M: 60 | 43% | Lymphopenia occurred in more than 80% of critically ill patients. In non-critical, 35% of patients had only mild lymphopenia, suggesting that the severity of lymphopenia reflects the severity of SARS-CoV-2 infection. | ||
| 112 | NA | NA | Compared with the general group, the lymphocyte count (0.74 × 109/L vs. 0.99 × 109/L, | ||
| 452 | M: 58 | 48% | A higher number of neutrophils and a lower number of lymphocytes were found in the severe group with COVID-19 compared to the mild group. | ||
| 245 | X: 54 | 53% | There was 8% higher risk of in-hospital mortality and the fully adjusted OR for mortality was 1.1 in males for each unit increase in NLR. NLR is an independent risk factor of the in-hospital mortality for COVID-19 patients especially for male. | ||
| 1320 | M: 52 | 39% | NLR greater than 6.5 may reflect the progression of the disease towards an unfavorable clinical outcome, with this notion that the ratios higher than 9 may strongly result in death. | ||
| 93 | M: 46 | 50% | Elevated age and NLR can be considered independent biomarkers for indicating poor clinical outcomes. | ||
| 301 | M: 51 | 50 | Having an NLR ⩾2.973 (HR 2.641, 95% CI 1.421–4.908; p = 0.002), age ⩾50 years (HR 2.504, 95% CI 1.202–5.215; p = 0.014) and being male (HR 2.004, 95% CI 1.101–3.647; p = 0.023) were identified as risk factors for progression by multivariate Cox regression analyses. | ||
| 74 | M: 63 | 31% | Patients with severe disease were significantly older and had a significantly higher NLR compared with non-severe cases. A higher NLR at hospital admission was associated with a more severe outcome: in particular, a NLR of | ||
| 131 | M: 64 | 57% | The NLR of 3.3 was associated with all-cause mortality, with a sensitivity of 100% and a specificity of 84%. NLR of 2.3 might have potential value for helping clinicians to identify patients with severe COVID-19, with a sensitivity of 100% and a specificity of 56.7%. | ||
| 225 | M: 60 | 42% | Not only admission NLR correlated with mortality but also the nadir quantity of NLR was higher in the non-survived patients. NLR was higher than 3 in all of the deceased patients, and it seems that elevated NLR could be used as a prognostic value for improved mortality prediction. | ||
| 81 | X: 50 | 37% | NLR could be a valuable biomarker to recognize severe COVID-19 patients with moderate-severe ARDS, which facilitated clinicians to give effective respiratory supporting strategies and quickly find out moderate-severe ARDS patients who are at high indication for V-V ECMO. | ||
| 100 | X: 52 | 31% | The NLR was found the most sensitive hematological marker with an AUC of 0.799 for ICU stay at 88% sensitivity and 90% PPV, while a value of 4.16 predicted mortality at a sensitivity of 91% and PPV of 96%. Around 90% of ICU patients along with non-survivors had NLR > 3 and one-half of them had NLR > 9 at admission. | ||
| 30 | M: 50 | 46% | The PLR of patients might provide a new indicator in the monitoring of patients with COVID‐19: the higher PLR of patients during treatment, the longer time of the hospitalization. | ||
| 93 | M: 46 | 40% | The age and PLR of severe ill patients were significantly higher than those of non-severe patients. | ||
| 131 | M: 64 | 57% | There were no significant differences in PLR for non-survivors, when compared to survivors. The PLR has no observed value for distinguishing the severity and predicting the death of patients with COVID-19. | ||
| 225 | M: 60 | 42% | PLR correlated with mortality and was significantly higher in non-survivors. Elevated PLR and lower Hb at the time of admission associated with mortality and also ICU admission. | ||
| 100 | X: 52 | 31% | PLR was elevated more in ICU (P = 0.004), and deceased patients. | ||
| 33 | NA | NA | Atypical lymphocytic is common in SARS-CoV-2 patients’ peripheral blood. Specifically, atypical plasmacytoid lymphocytes are highly associated with SARS-CoV-2, which is unusual among viral infections. The classic Downey II-like cells, which are generally common in viral infections, are less frequently found in SARS-CoV-2 infection. | ||
| 1 | 59 | 0 | Lymphoplasmacytoid lymphocytes with an eccentric nucleus, deeply basophilic cytoplasm and a prominent paranuclear hof were observed. | ||
LDH: Lactate Dehydrogenase; CRP: C-reactive protein; NLR: Neutrophil-to-lymphocyte ratio; HR: Hazard ratio; V-V ECMO: Veno-venous extracorporeal membrane oxygenation; AUC: Area under the curve; PPV: Positive Predictive Value; PLR: Platelet-to-lymphocyte ratio; NA: Not available; X: Mean; M: Median; Y: Year.
Fig. 3Pathophysiology of lymphopenia in COVID-19. SARS-CoV-2 is also capable of inducing lymphopenia via direct destruction of lymphoid tissues, overexpression of Fas, and stimulation of IL-6-producing macrophage (a). The overexpression of CXCL10 and CCL2, which have well-known suppressive impacts on the survival of HSCs, may cause reduced lymphopoiesis and might be involved in the SARS-CoV-2-mediated lymphopenia. The presence of scattered macrophages that engulfed erythroid cells is also a conspicuous finding in BM of COVID-19 patients (b). The increased serum levels of pro-inflammatory cytokines such as TNF-α and IL-6 may take part in induction of lymphopenia, either via a direct or indirect manner (c). Lactic acid acidosis may increase the risk of COVID-19 complications through blockade of lymphocyte proliferation and subsequent lymphopenia (d). Not only the transcription of apoptosis-related genes is increased in peripheral blood mononuclear cells (PBMNCs) but also the expression levels of proliferation-related genes (MAP2K7 and SOS1) are decreased, leading to reduced T cell proliferation (e). Extra-released sCD25 binds to IL-2 and impedes its interaction with T lymphocytes, an event that adversely affects T cell clonal expansion (f).
A list of clinical trials investigating the efficacies of therapeutic approaches in COVID-19.
| Drug | Mechanism | Population/Severity | No. | Phase | Status | Aim and outcome | Identifier | |
|---|---|---|---|---|---|---|---|---|
| Canakinumab | IL-1R antagonist | COVID-19 patients. | 451 | Phase 3 | Not yet recruiting | A multicenter, randomized, double-blind, placebo-controlled study to assess the efficacy and safety of canakinumab-plus-SOC compared with placebo-plus-SOC. | NCT04362813 | |
| Anakinra | IL-1R antagonist | COVID-19 patients. | 180 | Phase 2/3 | Recruiting | A randomized, parallel group, 2-arm study, investigating the efficacy and safety of anakinra added to standard treatment, compared to standard treatment alone. | NCT04443881 | |
| Sarilumab | mAb against IL-6 | COVID-19 patients with moderate & severe pneumonia. | 239 | Phase 2/3 | Not yet recruiting | A randomized controlled trial to determine the therapeutic effect and tolerance of Sarilumab in COVID-19 patients. | NCT04324073 | |
| Tocilizumab | mAb against IL-6 | COVID-19 patients with systemic inflammation. | 243 | Phase 3 | Completed | A randomized controlled trial to evaluate the effect of Tocilizumab on multi-organ dysfunction among hospitalized COVID-19 patients. | NCT04356937 | |
| Situximab | IL-6 neutralization | COVID-19 patients with acute respiratory failure & systemic CRS. | 342 | Phase 3 | Not yet recruiting | To evaluate safety and effectiveness of individually or simultaneously blocking of IL-6 and IL-1 versus standard of care on blood oxygenation and systemic CRS. | NCT04330638 | |
| Infliximab | TNF α blocker | COVID-19 patients with severe or critical symptoms. | 17 | Phase 2 | Recruiting | A single center trial to assess the efficacy of infliximab or infliximab-abda in hospitalized COVID-19 patients. | NCT04425538 | |
| Baricitinib | Jak inhibition | COVID-19 patients. | 1400 | Phase 3 | Recruiting | To evaluate the efficacy of baricitinib in hospitalized COVID-19. | NCT04421027 | |
| Emapalumab | INF II blocker | COVID-19 patients. | 16 | Phase 2 | Terminated | To reduce the number of patients requiring mechanical ventilation, and to address the most urgent need to preserve the access to ICU support to the lowest possible number of patients. | NCT04324021 | |
| Eculizumab | C5 Inhibitor | ICU-admitted COVID-19 patients with ARDS. | N/A | N/A | Available | To evaluate if mortality can be halted while the patient has time to recover from the virus. | NCT04288713 | |
| AMY-101 | C3 Inhibitor | COVID-19 patients with ARDS. | 144 | Phase 2 | Not yet recruiting | To assess both the efficacy and safety, as well as pharmacokinetics and pharmacodynamics of C3 inhibition in COVID-19. | NCT04395456 | |
| Avdoralimab | C5aR Antibody | COVID-19 patients with severe pneumonia and ARDS. | 168 | Phase 2 | Recruiting | To reduce the need for and duration of mechanical ventilation in patients with COVID-19 pneumonia ARDS. | NCT04371367 | |
| HCQ | increases lysosomal pH in APCs | COVID-19 patients. | 58 | Phase 2 | Terminated | A randomized, blinded trial to confirm or refute the efficacy of HCQ in early treatment of COVID-19 to reduce viral load. | NCT04353271 | |
| p-IFN lambda | Anti-viral activity | COVID-19 patients with mild to moderate symptoms. | 40 | Phase 2 | Recruiting | To assess safety and tolerability of Lambda by adverse event monitoring, and vital signs assessment. | NCT04534673 | |
| MSCs | Immunomodulation | COVID-19 patients with moderate and severe symptoms | 20 | Phase 2 | Recruiting | To assess the efficacy of MSCs as an add-on therapy to standard supportive treatment for COVID-19 patients. | NCT04444271 | |
| WJ-MSCs | Immunomodulation | Symptomatic COVID-19. | 5 | Phase 1 | Recruiting | To investigate the potential use of WJ-MSCs for treatment of patient diagnosed with COVID-9. | NCT04313322 | |
| NestaCell® | Immunomodulation | COVID-19 patients with severe symptoms. | 90 | Phase 2 | Not yet recruiting | To assess the efficacy of NestCell® as an add-on therapy to standard treatment to treat patients with COVID-19 pneumonia. | NCT04315987 | |
| Nivolumab | PD-1 blockade | COVID-19 patients with severe symptoms. | 92 | Phase 2 | Not yet recruiting | To evaluate the efficacy of nivolumab in combination with standard treatments. | NCT04343144 | |
| Pembrolizumab | PD-1 blockade | COVID-19 patients. | 24 | Phase 2 | Recruiting | To assess the efficacy of continued standard care together with tocilizumab plus pembrolizumab. | NCT04335305 | |
| NK cells | NK Cells cytotoxicity | COVID-19 patients with moderate symptoms. | 10 | Phase 1/2 | Not yet recruiting | To evaluate the safety and immunogenicity of allogeneic NK cells from PBMCs of healthy donors in patients with COVID-19. | NCT04344548 | |
| CYNK-001 | NK cells cytotoxicity | COVID-19 patients with moderate symptoms. | 14 | Phase 1 | Recruiting | To evaluate the safety and efficacy of multiple doses of CYNK-001. | NCT04365101 | |
| Novocellbio | Memory T and NK cells cytotoxicity | COVID-19 patients with worse prognosis. | 58 | Phase 1/2 | Recruiting | A randomized escalating-dose trial to determine safety, alloreactivity, and efficacy of adoptive cell therapy of NK cells or memory T cells. | NCT04578210 | |
NK: Natural Killer; PBMCs: Peripheral blood mononuclear cells; CYNK-001: CYNKCOVID; ARDS: Acute respiratory distress syndrome; PD-1: Programmed cell death-1; SOC: Standard-of-care; CRS: cytokine release syndrome; IL-1: Interleukin-1; HCQ: Hydroxychloroquine; p-IFN: Pegylated Interferon Lambda; WJ-MSCs: Wharton's Jelly-Mesenchymal Stem Cells; APC: Antigen-presenting cell.
Fig. 4The brief story behind the inhibitory effects of SARS-CoV-2 on lymphocytes. By entering SARS-CoV-2 into the body, a group of events takes place to have destructive effects on lymphocytes. Elevation in TH1 cells and abnormal aggregation of extra-follicular TNF-α could hamper differentiation of Bcl-6+ T follicular helper cells (TFH), an event which in turn results in decreased formation of germinal centers and disturbed humoral immune responses. On the other hand, unrestrained production of inflammatory cytokines is triggered during COVID-19 and leads to aberrant systemic inflammatory responses, which in turn, may induce exhausted phenotype in T cells. SARS-CoV-2 also affects NK cells and makes them inefficient. All the above-mentioned events go hand in hand to exacerbate COVID-19 via induction of lymphopenia and dysfunctional lymphocytes.