| Literature DB >> 33153629 |
Zelalem Temesgen1, Mariam Assi2, F N U Shweta2, Paschalis Vergidis2, Stacey A Rizza2, Philippe R Bauer3, Brian W Pickering4, Raymund R Razonable2, Claudia R Libertin5, Charles D Burger6, Robert Orenstein7, Hugo E Vargas8, Raj Palraj2, Ala S Dababneh2, Gabrielle Chappell9, Dale Chappell9, Omar Ahmed9, Reona Sakemura10, Cameron Durrant9, Saad S Kenderian11, Andrew D Badley12.
Abstract
OBJECTIVE: To assess the efficacy and safety of lenzilumab in patients with severe coronavirus disease 2019 (COVID-19) pneumonia.Entities:
Mesh:
Substances:
Year: 2020 PMID: 33153629 PMCID: PMC7470718 DOI: 10.1016/j.mayocp.2020.08.038
Source DB: PubMed Journal: Mayo Clin Proc ISSN: 0025-6196 Impact factor: 7.616
Demographics and Baseline Characteristicsa,b
| Characteristics | Lenzilumab group | Control group | |
|---|---|---|---|
| (n=12) | (n=27) | ||
| Age (range), years | 65 (52-70) | 68 (61-76) | .25 |
| Male | 8 (66.7) | 19 (70.4) | >.99 |
| Female | 4 (33.3) | 8 (29.6) | >.99 |
| Race | |||
| White | 9 (75.0) | 17 (63.0) | .79 |
| Asian | 2 (16.7) | 5 (18.5) | >.99 |
| American Indian/Native American | 1 (8.3) | 0 (0.0) | .36 |
| Comorbidities | |||
| Diabetes mellitus | 7 (58.3) | 14 (51.9) | >.99 |
| Hypertension | 7 (58.3) | na | na |
| Obesity (BMI > 30 kg/m2) | 6 (50.0) | 9 (33.3) | .54 |
| Coronary artery disease | 2 (16.7) | 4 (15) | >.99 |
| Kidney transplantation | 1 (8.3) | na | na |
| Obstructive lung disease | 4 (33.3) | na | na |
| Chronic obstructive pulmonary disease | 2 (16.7) | 11 (40.7) | .47 |
| Reactive airway disease | 1 (8.3) | na | na |
| Temperature, °C | 38 (37.25-38.5) | 37.5 (37.1-38.4) | .76 |
| Inflammatory markers before treatment | |||
| CRP (≤8.0 mg/mL) | 103.2 (52.7-159.9) | 74.4 (42.2-131.5) | .25 |
| Ferritin (24-336 μg/L) | 596.0 (358.3-709.0) | 673.0 (406.8-1012.8) | .75 |
| IL-6 (≤1.8 pg/mL) | 30.95 (24.18-34.05) | 29.20 (13.55-40.70) | .87 |
| D-dimer (≤500 ng/mL) | 829 (513.5-1298.5) | 916.0 (585.0-1299.0) | .84 |
| Lymphocyte count before treatment (0.95-3.07×109/L) | 0.75 (0.55-1.04) | 0.76 (0.59-1.01) | .91 |
| Oxygen therapy before treatment | |||
| Nasal cannula (=4 clinical ordinal endpoint scale) | 8 (66.7) | 20 (74.0) | >.99 |
| High-flow oxygen/NIPPV (=3 clinical ordinal endpoint scale) | 4 (33.3) | 7 (25.9) | .73 |
| Invasive ventilation (=2 clinical ordinal endpoint scale) | 0 (0.0) | 0 (0.0) | >.99 |
| SpO2/F | 280.9 (252.5-317.9) | 289.1 (254.9-342.0) | .98 |
BMI = body mass index; CRP = C-reactive protein; Fio2 = fraction of inspired oxygen; IL = interleukin; na = not available; NIPPV = noninvasive positive pressure ventilation; SpO2 = oxygen saturation.
Values shown are n (%) unless otherwise specified.
Clinical Outcomesa,b
| Lenzilumab group (n=12) | Control group (n=27) | ||
|---|---|---|---|
| Incidence of clinical improvement | 11 (91.7) | 22 (81.5) | .43 |
| Days to clinical improvement | 5 (1-14) | 11 (4-42) | .006 |
| Days to discharge from hospital | 5 (3-19) | 11 (4-42) | .008 |
| Mean temperature reduction, °C | 1.075 | 0.459 | .02 |
| Days to resolution of fever | 2 (1-6) | 1 (1-3) | .22 |
| Incidence of IMV | 1 (8.3) | 10 (37.0) | .10 |
| Incidence of death | 1 (8.3) | 5 (18.5) | .43 |
| Incidence of IMV and/or death | 1 (8.3) | 11 (40.7) | .07 |
IMV = invasive mechanical ventilation.
Values are n (%) unless otherwise noted.
Figure 1Clinical outcome measures of patients with severe coronavirus disease 2019 pneumonia (lenzilumab-treated patients versus controls). A, Cumulative percentage of patients with at least a 2-point improvement in the 8-point ordinal clinical endpoint scale estimated by Kaplan-Meier curve and compared by log-rank test. B, Mechanical ventilator-free survival estimated by Kaplan-Meier curve and compared by log-rank test.
Figure 2Measurement of oxygenation status of patients treated with lenzilumab versus controls. A, Change in mean oxygen saturation (SpO2)/fraction of inspired oxygen (Fio2) ratio displayed at baseline (day 0) through day 14 post-therapy and compared by repeated measures analysis of variance (ANOVA). B, Percentage of patients with acute respiratory distress syndrome (defined as SpO2/Fio2 <315 mm Hg) and compared by repeated measures ANOVA.
Laboratory Markersa
| Lenzilumab group (n=12) | Control group (n=27) | ||
|---|---|---|---|
| CRP reduction | 135.8 | -0.95 | .01 |
| IL-6 reduction | 20.1 | na | na |
| ALC increase | 0.46×109/L | 0.03×109/L | .04 |
| PLT increase | 52.5 | 63.2 | .61 |
ALC = absolute lymphocyte count; CRP = C-reactive protein; IL-6 = interleukin 6; na = not available; PLT = platelet count.
Serum Inflammatory Cytokine Levels Pre- And Post-Lenzilumab Treatment (Day -1 and Day 2) in a Patient With Severe Coronavirus Disease 2019 Pneumoniaa
| Cytokines/chemokines | Pre-lenzilumab (mean) | Post-lenzilumab (mean) |
|---|---|---|
| EGF, pg/mL | 35 | 30.15 |
| FGF-2, pg/mL | 238.53 | 156.085 |
| G-CSF, pg/mL | 179.275 | 88.175 |
| FLT-3L, pg/mL | 22.555 | 3.67 |
| GM-CSF, pg/mL | 54.315 | 36.755 |
| IFN-α2, pg/mL | 125.2 | 84.755 |
| IFN-γ, pg/mL | 11.755 | 5.42 |
| IL-12p40, pg/mL | 35.85 | 18.435 |
| MDC, pg/mL | 144.625 | 103.935 |
| IL-12p70, pg/mL | 12.23 | 4.97 |
| IL-13, pg/mL | 23.48 | 18.93 |
| IL-15, pg/mL | 10.715 | 10.385 |
| IL-1ra, pg/mL | 264.25 | 99.165 |
| IL-1a, pg/mL | 637.55 | 271.9 |
| IL-5, pg/mL | 1.68 | 1.49 |
| IL-6, pg/mL | 123.445 | 64.515 |
| IL-7, pg/mL | 11.37 | 3.26 |
| IL-8, pg/mL | 33.35 | 25.68 |
| VEGF, pg/mL | 79.915 | 53.125 |
| MIP-1a, pg/mL | 11.715 | 8.515 |
| GRO, pg/mL | 98.015 | 158.7 |
| IL-10, pg/mL | 18.8 | 21.92 |
| MCP-3, pg/mL | 79.335 | 84.2 |
| sCD40L, pg/mL | 557.875 | 920.99 |
| IL-4, pg/mL | 263.88 | 288.995 |
| MCP-1, pg/mL | 494.59 | 666.1 |
| MIP-1ß, pg/mL | 43.2 | 44.205 |
| TNF-ß, pg/mL | 60.345 | 84.255 |
EGF = epidermal growth factor; FGF-2 = fibroblast growth factor 2; FLT-3L = fms-related tyrosine kinase 3 ligand; G-CSF = granulocyte colony-stimulating factor; GM-CSF = granulocyte-macrophage colony-stimulating factor; GRO = growth-regulated oncogene; IFN = interferon; IL = interleukin; MCP-1 = monocyte chemoattractant protein; MDC = macrophage-derived chemokine; MIP-1a = macrophage inflammatory protein; TNF = tumor necrosis factor; VEGF = vascular endothelial growth factor.
Figure 3Lenzilumab treatment results in improved inflammatory cytokines in a patient with severe coronavirus disease 2019 pneumonia. Inflammatory cytokine levels on day 1 and day 2 post-lenzilumab treatment (∗=P<.05, ∗∗=P<.01). FLT-3L = fms-related tyrosine kinase 3 ligand; G-CSF = granulocyte colony-stimulating factor; GM-CSF = granulocyte-macrophage colony-stimulating factor; GRO = growth-regulated oncogene; IFNγ = interferon gamma; IL = interleukin; MDC = macrophage-derived chemokine.
Figure 4Proposed mechanim for granulocyte-macrophage colony-stimulating factor (GM-CSF) neutralization in coronavirus disease 2019 – associated cytokine storm. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infects monocytes/macrophages direcly via the angiotensin-converting enzyme 2 (ACE-2) receptors and through antibody-dependent enhancement. Infection with SARS-CoV-2–induced a T-cell response through the activation of ThGM and Th17 cells. Granulocyte-macrophage colony-stimulating factor production by ThGM cells further stimulated monocytes and initiates an immune hyper-inflammatory response. Activated monocytes result in production of myeloid derived cytokines, propagation of cytokine storm, trafficking of blood derived monocytes to the lungs, acute respiratory distress syndrome (ARDS), and respiratory failure. Granulocyte-macrophage colony-stimulating factor – activated monocytes induce T-cell death and result in lymphopenia and worse clinical outcomes. CCR2 = C-C chemokine receptor type 2; FcR = interferon; IFN = interferon; IL = interleukin; MCP-1 = monocyte chemoattractant protein-1; MIG = monokine induced by gamma; MIP-1α = macrophage inflammatory protein-1α; ROS = reactive oxygen species; TNFα = tumor necrosis factor α; VEGF = vascular endothelial growth factor.