Abstract
An uncontrolled increase in cytokine production may lead to systemic hyperinflammation,
vascular hypo-responsiveness, increased endothelial permeability, hypercoagulation, multi -organ
dysfunction and eventually death in moderate to severely ill COVID -19 patients. Targeting T -
cells, an important driver of the hyperinflammatory response, in the treatment of COVID-19, could
potentially reduce mortality and improve survival rates. Itolizumab is an anti- CD6 humanized
monoclonal antibody with an immunomodulating action on Teffector cells that downregulates T-cell
activation, proliferation and subsequent production of various chemokines and cytokines. The
efficacy and safety of Itolizumab for the treatment of cytokine release syndrome in patients with
moderate to severe acute respiratory distress syndrome (ARDS) due to COVID-19 was evaluated
in a multi- centric, open-label, two-arm, controlled, randomized, phase 2 study. Eligible patients
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were randomized (2:1) to arm A (best supportive care + Itolizumab) and arm B (best supportive
care). The primary outcome of interest was reduction in all -cause mortality 30 days after
enrolment. Thirty-six patients were screened , 5 were treated as first dose sentinels and the rest
were randomized, whilst 4 patients were considered screen failures. Two patients in the Itolizumab
treatment arm discontinued prior to receiving the first dose and were replaced. At the end of 1
month, there were 3 deaths in arm B, and none in arm A (p= 0.0296). At the end of the follow-up
period, more patients in Arm A had improved SpO2 without increasing FiO2 (p=0.0296),
improved PaO2 (p=0.0296), and reduction in IL-6 (43 pg/ml vs 212 pg/ml; p=0.0296) and tumor
necrotic factor-α (9 pg/ml vs 39 pg/ml; p=0.0253) levels. Itolizumab was generally safe and well
tolerated, and transient lymphopenia (11 patients in Arm A) and infusion reactions (7 patients)
were the commonly reported treatment related safety events. These encouraging results indicate
that larger clinical trials are warranted to establish the role of Itolizumab in controlling immune
hyperactivation in COVID-19.
Trial registry number: CTRI/2020/05/024959
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Introduction
Severe acute respiratory syndrome coronavirus -2 (SARS -CoV-2; COVID -19) poses a seri ous
global concern for public health, with millions of people infected worldwide and more than a
million dead [1,2]. Three escalating phases of SARS -CoV-2 disease progression ha ve been
reported [3,4]. During the e arly infection phase, the virus infiltrates the lung parenchyma and
proliferates causing mild constitutional symptoms. The second phase is characterized by adaptive
immunity stimulation (vasodilation, endothelial permeability, leukocyte recruitment and tis sue
damage) with lung injury and hypoxemia as underlying causes of the respiratory dysfunction
(pulmonary phase). Lung vascular thrombosis may be predominant during this phase. In the third
phase (hyperinflammation phase), systemic inflammatory response may set in leading to increased
production of a series of cytokines and prime adaptive T- and B-cell responses [5]. SARS-CoV-2
infection sets off an inflammatory cascade resulting in an increased release of pro -inflammatory
cytokines and chemokines, especially IL-1, IL -6, IL -12, IFN -γ, and TNF -α [6]. These
proinflammatory molecules potentiate a Th1 (T helper -1) response, causing the recruitment of
monocytes and T lymphocytes resulting in peripheral lymphopenia and higher
neutrophil:lymphocyte ratio typically observed in patients suffering fr om COVID -19 [7–9]. If
untreated, this cytokine release syndrome may lead to vascular hypo -responsiveness, increased
endothelial permeability, hypercoagulation, multi-organ dysfunction and eventually death [4].
Targeting T cells and their invo lvement in cytokine release syndrome during the management of
SARS-CoV-2 disease has been one of the therapeutic strategies adopted to improve survival rates
and reduce mortality. Unlike the other anti -inflammatory agents such as Tocilizumab (IL -6
inhibitor), Sarilumab (IL -6R inhibitor), and Anakinra (IL -1R inhibitor), Itolizumab (CD6
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inhibitor) has an upstream immunomodula ting mechanism of action [10–12]. CD6 is a
costimulatory receptor differentially expressed on T-cells, subsets of innate lymphoid and natural
killer cells, but not on T regulatory cells [13–15] . It is implicated in the pathogenesis of multip le
autoimmune and inflammatory diseases. The binding of CD6 to the activated leukocyte cell
adhesion molecule (ALCAM), expressed in both the antigen presenting cells and
endothelial/epithelial tissue , including the blood- brain barrier, skin, gut, lung and kidney, can
modulate T-cell activity and trafficking [16].
Itolizumab is a humanized IgG1 kappa anti-CD6 monoclonal antibody that binds to domain 1 of
human CD6. It selectively targets the CD6-ALCAM pathway resulting in decreased levels of IFN-
γ, IL-6, and TNF-α through Th-1 pathway and IL-17, IL-6, TNFα through Th-17 pathway [17,18].
Itolizumab thereby leads to a reduction in the T -cell infiltration at the sites of inflammation ,
without inducing T-cell or B-cell depletion [17].
Itolizumab has been approved in India f or the treatment of moderate -to-severe chronic plaque
psoriasis for the last seven years [19,20] and in addition to a favorable safety profile in Phase 2
and Phase 3 trials, has shown promising results when used in psoriatic arthritis [10] and rheumatoid
arthritis [21]. Itolizumab has demonstrated a durable therapeutic effect which is noted even after
discontinuation of the treatment [22] in the management of psoriatic arthritis [23,24] and
rheumatoid arthritis [21] . Previous studies have shown the impact of Itolizumab on human Th1
cells [17]. It has been demonstrated that even under the classical co -stimulation by anti-CD3 and
anti- CD28 [25] , Itolizumab is able to down- regulate the exp ression of key Th17 determining
transcription factors and effector cytokines (i.e., IL -17) in addition to decreasing Th1 effector
cytokine (IFN-γ) (Figure 1).
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Figure 1: Itolizumab mechanism of action in COVID-19 infection.
CD6 is expressed mainly on effector T cells (Teff). CD6 stimulates ALCAM mediated T -cell
activation and subsequently pro-infl ammatory cytokines release. Itolizumab inhibits T -cell
activation and lowers major pro-inflammatory cytokines of the Th1/Th17 pathways.
We hypothesized that Itolizumab will control the pro -inflammatory cytokine release in COVID-
19 patients by immunomodulation of Teff function and trafficking to the inflammation site, sparing
Tregs and preserving the anti-viral response, reducing morbidity and mortality. The current study
was undertaken to estimate the efficacy and safety of Itolizumab in the treatment of cy tokine
release syndrome in patients with moderate to severe acute respiratory distress syndrome (ARDS)
due to COVID-19.
Methods
Study design
This was an open-label, two-arm, randomized, controlled, multi-centric, phase-2 study conducted
in 4 designated C OVID-19 hospitals in India. Initial dosing was done for first five patients in a
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staggered manner wherein after a patient was dosed , safety was monitored for 24-48 hours prior
to dosing of the next patient. Once all five patients were dosed in this staggered manner, subsequent
patients were enrolled such that study had patients randomized in a 2:1 ratio. Randomization was
centrally done using computer -generated sequences ( SAS version 9.4). Patients who were
randomized, but did not receive the full infusion, were considered unevaluable and the same
randomization code was used for allocation of the next patient enrolled by the study site. The
CONSORT flow diagram for the study is summarized in Figure 2. The study was initiated on May
2, 2020, and all patients were followed up for 30 days, with the study closing out on July 7, 2020
when the follow up period of the final patient was completed and all patients in the trial had either
been discharged from clinical care or died from COVID-19 complications.
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Figure 2. CONSORT 2010 Flow Diagram
Assessed for eligibility (n= 36)
Excluded (n= 4)
♦ Not meeting inclusion criteria (n= 4)
Analysed (n= 20)
♦ Excluded from efficacy analysis (did not
receive one complete infusion and were
considered unevaluable as per protocol; were
included in safety analyses) (n= 2)
Lost to follow-up (give reasons) (n= 0)
Discontinued intervention (did not receive one
complete infusion after experiencing an
infusion reaction) (n= 2)
Allocated to Itolizumab + best standard of care
Arm A (n= 22)
♦ Received allocated intervention (n= 20)
♦ Did not receive allocated intervention (did not
receive one complete infusion after
experiencing an infusion reaction) (n= 2)
Lost to follow-up (give reasons) (n= 0)
Discontinued intervention (due to death) (n= 3)
Allocated to best standard of care only Arm B
(n= 10)
Analysed (n= 10)
Allocation
Analysis
Follow-Up
Randomized (n= 32)
Enrollment
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Study subjects
Adult male or female patients above 18 years, who tested positive for virologic diagnosis of SARS-
CoV-2 infection (RT -PCR), and who were hospitalized due to clinical worsening with oxygen
saturation of ≤94% at rest in ambient air, were eligible for randomization if they had either
moderate to severe ARDS or high levels of proinflammatory markers. Patients were defined to
have moderate to severe ARDS if they had PaO2/Fio2 ratio of < 200 or m ore than 25%
deterioration from the immediate previous value. Alternatively, the proinflammatory markers
included were baseline serum ferritin level ≥ 400 ng/mL or IL -6 levels greater than 4 times of
upper limits of normal value.
Major exclusion criteria included - known severe allergic reactions to monoclonal antibodies, an
active tuberculosis (TB) infection/inadequately treated tuberculosis/latent tuberculosis, on oral
anti-rejection or any immune-suppressive drugs in last 6 months, those who participated in other
drug clinical trials using anti-IL-6 therapy. Patients with a known history of Hepatitis B, Hepatitis
C or HIV, absolute neutrophils count (ANC) <1000 / mm 3, platelet count <50,000 / mm 3 and
absolute lymphocyte count (ALC) <500/mm3 were also excluded.
Study Settings
The study was carried out at four COVID-19 specific, tertiary hospitals in India. Two of these sites
were in New Delhi, and two were in Mumbai. All four sites were tertiary, teaching hospitals, with
considerable experience of undertaking clinical trials.
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Treatments
Most commonly used therapies as part of best supportive care in both treatment arms included
oxygen, antibiotics, hydroxychloroquine, antivirals, steroids, low -molecular-weight heparin, and
vitamin supplements.
The dose of Itolizumab was calculated and diluted in 250 ml of normal (0.9%) saline; this was
allowed to reach room temperature prior to infusion. Itolizumab infusion in Arm A started after
premedication with hydrocortisone 100 mg i.v (or equivalent short acting glucocorticoid) and
Pheniramine 30 mg per i.v. about 30 ± 10 minutes prior to infusion. Patients were initiated on 1.6
mg/kg dose iv infusion of Itolizumab and continued with 0.8 mg/kg dose weekly regimen as
required. Subsequent doses were modified, deferred, or stopped as per the investigator’s discretion
if the patient recovered. The Itolizumab infusion was administered over a period not less than 120
minutes, using an infusion set with an in- line, sterile, non- pyrogenic, low protein- binding filter
(pore size of 1.2 μm or less). Approximately 50 mL of infusion solution was administered during
the first hour, followed by remaining solution (approximately 200 mL) in the next hour . Infusion
period could be extended up to 8 hours for medical reasons, particularly if the patient experienced
infusion related reactions, which needed medical attention prior to re -initiation of infusion.
Itolizumab was not infused concomitantly in the same IV line with any other agents.
Ethics
This study was carried out in accordance with the ethical principles described in the Declaration
of Helsinki (64th WMA General Assembly, Fortaleza, Brazil, October 2013), the International
Council for Harmonization Good Clinical Practice (ICH GCP) E6 (R2), and New Drugs and
Clinical Trials Rule 2019 issued by the Government of India. The study received approvals from
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the IECs/IRBs of all the participating sites. All the IECs /IRBs had active CDSCO registration at
the time of approving this study. Subjects provided written informed consent prior to initiation of
the study procedures. Study data was periodically reviewed by a data and safety monitoring board
(DSMB).
Study Objectives and Endpoints
The primary objective of this study was to estimate the efficacy and safety of Itolizumab in the
treatment of cytokine release syndrome in patients with moderate to severe ARDS due to COVID-
19. Secondary Objective was to assess possible correlations/associations between cytokine
markers and clinical efficacy/safety.
The study’s primary outcome measures included:
1. Reduction in mortality one month after randomization
2. Reduction in the proportion of patients with deteriorating lung functions, as measured by:
a. Stable SpO2 without increasing FiO2
b. Stable PaO2 without increasing FiO2
3. Reduction in proportion of patients who needed non- invasive ventilation, invasive
mechanical ventilation/endotracheal intubation, and high flow nasal oxygen
4. Reduction in inflammatory markers: Ferritin, D-dimer, LDH, CRP.
Key secondary outcome measures included measurement of:
1. Biomarkers such as IL-6, TNF-α, IL-17A
2. Absolute lymphocyte count
3. PaO2/FiO2 ratio calculated from arterial blood gas analyses
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4. Safety: Number of participants with treatment-related side effects as assessed by Common
Terminology Criteria for Adverse Event (CTCAE) version 5.0
Biomarker assessments
Blood samples were collected for analysis of cytokines/chemokines.
Statistical analysis
For this Phase 2 study, we considered enrolling 30 patients. Continuous variables were
summarized using descriptive statistics such as mean, standard deviation, 95% confidence interval
(CI), or median with range , as appropriate . Categorical variables were summarized using
proportions (counts and percentages). Comparisons between proportions was done using Fisher’s
exact test since the sample size was small. For continuous variables, change from baseline or trend
in change over time were tabulated, as appropriate. All statistical tests were performed at 5% level
of significance (two-sided test) and p-value<0.05 considered statistically significant. All statistical
analysis was performed using SAS® (version 9.4) software.
Trial Registration Details
The trial protocol was registered with the Clinical Trials Registry of India (CTRI) . The CTRI
registration number is CTRI/2020/05/024959 and it can be accessed at this link:
http://ctri.nic.in/Clinicaltrials/showallp.php?mid1=42878&EncHid=&userName=itolizumab. The
trial was prospectively registered with the CTRI, which is the government mandated registry for
trials in India.
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Results
Participant disposition and baseline characteristics
A total of 36 patients were screened of which 4 were cons idered screen failures; 1 patient was
COVID-19 negative and ALC count of 3 patients was <500 cells/cu.mm. A total of 32 patients
were randomized: 22 patients in Arm A and 10 patients in Arm B (Table 1). Two patients from
Arm A discontinued treatment prior to completion of first dosing due to infusion related reactions
and were replaced as defined above. The events of infusion related reactions ( IRRs) resolved on
the same day and the patients continued to receive best supportive care. A total of 27 patients (Arm
A: 20 and Arm B: 7) completed the study; 3 patients in A rm B discontinued due to death. A ll 20
patients in Arm A had at least one complete infusion of Itolizumab; of these, 7 patients had two
infusions; 3 patients had three infusions and 4 patients had four infusions.
Table 1: Participant disposition
Variable Arm A
(N=20)
Arm B
(N=10)
FAS Population,* n (%) 20 (100.00) 10 (100.00)
Safety Population,** n (%) 22 (110.00) 10 (100.00)
Completed the study, n (%)
Completed 30 days follow up in hospital 4 (20.00) 1 (10.00)
Early discharged** 16 (80.00) 6 (60.00)
Discontinued - 3 (30.00)
Reasons for Discontinuation, n (%)
Death - 3 (30.00)
*FAS: Full analysis set defined as all patients randomized and those who received at least one full dose of Itolizumab
(Arm A); Safety population was defined as all patie nts randomized (in Arm B) and those who received partial or full
dose of Itolizumab (in Arm A)
**2 subjects could not complete even one dosing and were replaced as per protocol
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The median age of patients in Arm A was 50.5 years and in Arm B was 49.5 years (Table 2). All
patients were of Asian ethnicity with most of the patients being male (Arm A: 95% and Arm B:
70%).
The mean duration of COVID -19 related symptoms at enrolment was 8.6 days and 5.6 days for
Arms A and B, respectively , and the difference was not statistically significant. The most
frequently reported COVID-19 related symptoms in both treatment arms were fever and dyspnea,
followed by cough and tachypnea. Hypertension was the most common active co-morbid condition
(20% in each arm).
Table 2: Demographic and baseline characteristics
Variable Arm A
(N=20)
Arm B
(N=10)
Age (years)
N 20 10
Mean(SD) 49.55 (12.49) 48.30 (14.62)
Sex, n (%)
Female 1 (5.00) 3 (30.00)
Male 19 (95.00) 7 (70.00)
Race, n (%)
Asian 20 (100.00) 10 (100.00)
Ethnicity, n (%)
South Asian 19 (95.00) 10 (100.00)
Southeast Asian 1 (5.00) -
D-Dimer (mcg/ml (FEU))
Mean (SD)
3.50 (4.87) 5.15 (7.85)
D-Dimer (mcg/ml (FEU))
Median (Range)
1.86 (0.28 – 20.0) 1.59 (0.28 – 20.0)
Ferritin (ng/ml) 943.34 (756.06) 577.95 (336.73)
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Variable Arm A
(N=20)
Arm B
(N=10)
Mean (SD)
Ferritin (ng/ml)
Median (Range)
669.79 (100 – 2550.7) 496.93 (90.70 – 1290.2)
LDH (U/L)
Mean (SD)
533.3 (206.85) 645.3 (292.79)
LDH (U/L)
Median (Range)
512 (254 – 1125) 555 (375 – 1150)
C-Reactive Protein (mg/L)
Mean (SD)
73.74 (71.84) 103.88 (87.89)
C-Reactive Protein (mg/L)
Median (Range)
58.15 (5.47 -254.3) 76.9 (19.90 – 275.4)
Duration of COVID-19 related
symptoms at enrolment (in Days)
Mean (SD)
8.55 (6.21) 5.60 (2.59)
Duration of COVID -19 related
symptoms at enrolment (in Days)
Median (Range)
7.5 (1 – 26) 5.5 (3 – 11)
Absolute Lymphocyte Count
Mean (SD)
969.85 (407.70) 1357.3 (492.30)
Primary outcome measures
1. Mortality at 1 month
Itolizumab treatment had a noticeable improvement on patient’s survival through reduction in 1-
month mortality rate. A statistically significant difference (p=0.0296; 95% CI= -0.3 [-0.61, -0.08]))
in the 1- month mortality rate was observed between the 2 treatment arms. Three deaths were
reported in Arm B on Days 4, 5 and 12 (1 due to acute respiratory distress syndrome and 2 due to
respiratory failure). There were no deaths in Arm A.
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2. Lung function determined by SpO2 and PaO2
a. Stable/improved SpO2
A higher proportion of patients in Arm A had stable/improved SpO2 without increasing FiO2 in
all the post-baseline assessment visits in comparison to Arm B (Table 3). A significant difference
was observed between the 2 arms from Day 21 onwards ; 100% of the participants in Arm A
showed favorable outcomes compared to only 70% in Arm B (p=0.0296).
Table 3: Patients with Stable/Improved SpO2 without Increasing FiO2*
Visit Arm A
(N=20)
Arm B
(N=10)
P-value
Day 7 17 (85.00) 5 (50.00) 0.0778
Day 14** 19 (95.00) 7 (70.00) 0.0952
Day 21 20 (100.00) 7 (70.00) 0.0296
Day 30 20 (100.00) 7 (70.00) 0.0296
* Stable SpO2 was defined as absence of increase in FiO2 to maintain Spo2 ≥ 92% and improvement of SpO2 was
defined as decrease in FiO2 to maintain SpO2 >92%.
** Patients improved/ weaned off O2, the observation was carried forward; 3 patients in Arm B died on Day 4, 5 and
12; p-value between arm is estimated using Fisher’s exact test (p-value <0.05 is considered significant)
b. Stable/Improved PaO2
A higher proportion of patients in Arm A had stable PaO2 without increasing FiO2 in all the post-
baseline assessment visits in comparison to Arm B (Table 4). Significant difference was observed
Day 21 onwards; 100% in Arm A compared to 70% in Arm B (p=0.0296).
Table 4: Patients with Stable/Improved PaO2 Without Increasing FiO2*
Visit Arm A
(N=20)
Arm B
(N=10)
P-value
Day 7 18 (90.00) 6 (60.00) 0.1413
Day 14** 19 (95.00) 7 (70.00) 0.0952
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Visit Arm A
(N=20)
Arm B
(N=10)
P-value
Day 21 20 (100.00) 7 (70.00) 0.0296
Day 30 20 (100.00) 7 (70.00) 0.0296
* Stable PaO2 was defined as up to 10% change in PaO2/FiO2 ratio from baseline while an improvement of Pa O2
was defined as > 10% improvement in PaO2/FiO2 ratio from baseline (including patients weaned off oxygen).
** Patients improved/ weaned off O2, the observation was carried forward; 3 patients in Arm B died on Days 4, 5 and
12; p-value between arm is estimated using Fisher’s exact test (p-value <0.05 is considered significant)
3. Non-invasive ventilation, invasive mechanical ventilation /endotracheal
intubation, and high flow nasal oxygen
In Arm A, there were 5 patients on NIV (BiPAP or CPAP) at baseline that improved and came off
NIV by Day 14. In Arm B, there were 4 patients on NIV at baseline of which 1 patient improved
and came off NIV by Day 14. Condition of the 3 remaining patients in Arm B , which included 1
patient who continued to be on NIV and 2 patients who progressed to IMV before Day 7, further
worsened and all of them died by Day 12. All the patients in Arm A were progressively weaned
off oxygen by Day 30 , with 5, 14, 18 and 20 patients getting weaned by days 7, 14, 21 and 30,
respectively. In Arm B, 2, 4, 6 and 7 patients were progressively weaned off oxygen on Days 7,
14, 21 and 30 respectively.
4. Inflammatory Markers (related to primary outcomes)
a. Ferritin
Baseline ferritin was high in Arm A compared to Arm B (943.34 ng/mL vs 577.95 ng/mL). In Arm
A, the mean ferritin reduced to 303.50 (SD 210.93) ng/dL and 189.22 (SD 129.96) ng/dL on Day
14 and 30, respectively. In Arm B, the ferritin was 367.68 ( SD 130.22) ng/dL and 285.25 ( SD
157.76) ng/dL on Days 14 and 30, respectively. A greater reduction from baseline in serum ferritin
levels was seen in Arm A (-479.3 (620.95) ng/dL) in comparison to Arm B (-234.4 (405.67) ng/dL)
at day 30.
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b. D-dimer
Baseline D-dimer was higher in Arm B (5.15 (SD 7.85) µg/mL) compared to Arm A ( 3.50 (SD
4.87) µg/mL). In Arm A, m ean D-dimer reduced to 2.83 ( SD 5.46) µg/mL and 0.41 ( SD 0.18)
µg/mL on Days 14 and 30, respectively. In Arm B, mean D-dimer was 0.86 (SD 0.71) µg/mL and
1.15 (SD 0.37) µg/mL on Days 14 and 30, respectively. Eight patients in Arm A and five patients
in Arm B received low-molecular-weight heparin.
c. LDH
Baseline LDH was comparable in both arms; 533.30 ( SD 206.85) U/L in Arm A and 645.30 ( SD
292.79) U/L in Arm B. In Arm A, mean LDH reduced to 381.47 (SD 181.45) U/L and 208.67 (SD
40.72) U/L on Days 14 and 30, respectively. In Arm B, mean LDH was 330.20 ( SD 91.63) U/L
and 456.50(SD 173.24) U/L on Days 14 and 30, respectively.
d. CRP
Baseline CRP was numerically higher in Arm B; 73.74 (SD 71.84) mg/L in Arm A vs 103.88 (SD
87.89) mg/L in Arm B. After randomization in Arm A, mean CRP reduced to 6.45 (SD 4.14) mg/L
and 13.69 ( SD 20.45) mg/L on Days 14 and 30, respectively. In Arm B, mean CRP was 14.36
(9.29) mg/L and 3.05 (2.62) mg/L on Days 14 and 30, respectively.
The improvement in the biomarker status over time is captured in table 5 which outlines the mean
change from baseline values over time. Number of patients at each time point varied due to patients
reaching the end of follow up either due to discharge from clinical care or death.
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Table 5. Mean change from baseline values for inflammatory markers
Ferritin (ng/mL)
Day 7 Day 14 Day 21 Day 30
Arm A -117.8 -713.9 -780.9 -479.3
N* 18 15 11 3
Arm B -87.05 -209.6 4238 -234.4
N** 7 5 3 2
D-dimer (µg/mL FEU)
Day 7 Day 14 Day 21 Day 30
Arm A -1.43 -0.45 -4.35 -2.63
N* 18 12 11 3
Arm B 2.3 -0.68 8.54 -0.35
N** 7 4 2 2
LDH (U/L)
Day 7 Day 14 Day 21 Day 30
Arm A -134 -195.8 -308.1 -212.7
N* 18 15 11 3
Arm B -44.29 -195.2 155.33 -97
N** 7 5 3 2
CRP (mg/L)
Day 7 Day 14 Day 21 Day 30
Arm A -61.69 -81.65 -90.99 -103.2
N* 18 16 11 3
Arm B -103.6 -107.2 -127.5 -127.6
N** 8 5 3 2
* Number of patients in Arm A at given time points
** Number of patients in Arm B at given time points
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Secondary outcome measures
1. Biomarkers
a. IL-6
Mean baseline value of IL -6 was comparable in both arms; 159.09 pg/mL in Arm A and 162.16
pg/mL in Arm B. A significant decline (p=0.0269) in mean IL-6 levels post first infusion was seen
in Arm A (42.98 pg/mL) compared to Arm B (211.52 pg/mL) (Figure 3).
Figure 3. Mean IL-6 values
b. TNF-α
Mean baseline value of TNF α was higher in Arm A (43.64 pg/mL) than in Arm B (11.26 pg/mL).
A significant decline (p= 0.0253) in mean TNF -α levels post first infusion was seen in Arm A
(8.87 pg/mL) compared to Arm B (39.19 pg/mL) (Figure 4).
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Figure 4: Mean TNF-α
c. IL-17A
Mean baseline value of IL -17A was comparable in both arms; 10.36 pg/mL in Arm A and 9.83
pg/mL in Arm B. A notable decline in mean IL-17A levels post first infusion was seen in Arm A
(6.75 pg/mL) unlike in Arm B, where there was an increase (14.75 pg/mL).
2. Absolute Lymphocyte Count
Baseline ALC was numerically lower in Arm A ( 969.85 cells per mm 3) than in Arm B (1357.3
cells per mm3). A gradual increase over time in mean ALC was seen in Arm A in comparison to
Arm B (Figure 5). Eleven patients in arm A and 2 patients in Arm B had a grade 3 event of post-
infusion lymphopenia, which was transient and recovered spontaneously by day 7.
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Figure 5: Mean Absolute Lymphocyte Count
3. PaO2 / FiO2 ratio
At Baseline, mean PaO2/FiO2 ratio was numerically higher in Arm A (126.57; SD 38.31) vs Arm
B (114.05; SD 30.93). PaO2/FiO2 ratio gradually increased over time in Arm A in comparison to
Arm B. The change from baseline observed at various time points is mentioned in Table 6. Given
that there were censoring events (discharged from care or death) over time, the number of patients
in each arm varied at each time point.
Table 6. Mean PaO2/FiO2 ratio over time
Baseline Day 7 Day 14 Day 21 Day 30/EOS
Arm A (n) 20 16 14 8 3
Mean (SD) 126.57(38.31) 203.50(95.51) 283.43(104.26) 350.25(70.36) 397.67(15.63)
Arm B (n) 10 6 5 3 0
Mean (SD) 114.05(30.93) 184.53(95.51) 338.40(42.57) 398.33(24.01)
Day 1 Day 7 Day 14 Day 21 Day 30
Arm A 0 119.95 421.25 701.55 719.75
Arm B 0 45.88 142.6 10 85
-200
0
200
400
600
800
1000
cells per cu.mm
Arm A Arm B
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4. Safety
During the treatment period, a total of 22 patients experienced at least one treatment emer gent
adverse event (TEAE); 18 (81.82%) patients in Arm A and 4 (40.00%) patients in Arm B.
Transient lymphocyte count decrease was the most commonly reported TEAE in both arms in
addition to lower respiratory tract infection, ARDS and respiratory failure i n Arm B (Table 7 ).
Lymphocyte count decrease was the most frequently reported study drug related TEAE reported
in 50% of patients in Arm A (n=11) . These events were reported between D ay 2 to Day 4 and
returned to normal by Day 7.
Table 7. Treatment emergent adverse events by treatment group (Safety population)
System Organ Class
Preferred Term
Arm A
(N=22)*
Arm B
(N=10)
Cardiac disorders 2 (9.09) -
Pericardial effusion 1 (4.55) -
Sinus tachycardia 1 (4.55) -
Endocrine disorders 1 (4.55) -
Hypothyroidism 1 (4.55) -
Gastrointestinal disorders 1 (4.55) -
Constipation 1 (4.55) -
General disorders and administration
site conditions
5 (22.72) -
Chills 5 (22.72)** -
Immune system disorders 1 (4.55) -
Anaphylactic reaction 1 (4.55) ** -
Infections and infestations 1 (4.55) 3 (30.00)
Fungal infection - 1 (10.00)
Lower respiratory tract infection - 2 (20.00)
Urinary tract infection 1 (4.55) -
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System Organ Class
Preferred Term
Arm A
(N=22)*
Arm B
(N=10)
Injury, poisoning and procedural
complications
1 (4.55) -
Infusion related reaction 1 (4.55)** -
Investigations 12 (54.55%) 2 (20.00)
Alanine aminotransferase
increased
1 (4.55) -
Fibrin D dimer increased 1 (4.55) -
Low density lipoprotein increased 1 (4.55) -
Lymphocyte count decreased 11 (50.00)** 2 (20.00)
Non-high-density lipoprotein
cholesterol increased
1 (4.55) -
Platelet count decreased 1 (4.55)** -
Metabolism and nutrition disorders 6 (27.27) 1 (10.00)
Hyperglycemia 4 (18.18) 1 (10.00)
Hypertriglyceridemia 2 (9.09) 1 (10.00)
Respiratory, thoracic, and mediastinal
disorders
- 3 (30.00)
Acute resp iratory distress
syndrome
- 2 (20.00)
Respiratory failure - 2 (20.00)
* 2 subjects could not complete even one dosing and were replaced as per protocol. They are part of safety population
set till their discontinuation.
** Related to the study drug
Five patients (2 patients in Arm A out of the patients who received complete infusion and 3 patients
in Arm B) reported serious adverse events (SAEs) during the study. The SAEs reported in Arm A
were anaphylactic reaction and pericardial effusion. Anaphylactic reaction resolved on the same
day with medical intervention and was considered as related to the study drug infusion. Pericardial
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effusion was considered due to underlying hypothyroidism. The patient was treated with
levothyroxine and recovered. The event was considered not related to the study drug.
Three deaths were reported in Arm B. The first death was due to lower respiratory tract infection
with ARDS; the second was due to type 1 respiratory failure with ARDS, with lower respiratory
tract infection; and the third was due to respiratory failure. No fatal TEAEs were reported in Arm
A.
As defined in the protocol, patients who did not complete one full dose were considered
unevaluable and were replaced. Two patients randomized to Arm A, experienced an i nfusion
reaction shortly after initiation of drug and did not complete the first dose and withdrew from the
study. The event of infusion reaction resolved on the same day in both patients. Subsequently one
patient recovered from COVID-19 in approximately 2 weeks and was discharged from the
hospital.
The second patient developed further complications of COVID -19 related ARDS and
died 9 days after discontinuation and the event was deemed not related to the study drug.
All the infusion reactions (5 events) wer e considered related to study medication and resolved
within a few hours with symptomatic management. These infusion reactions occurred when they
were given over 2 hours. However, the reaction abated when the infusion was given over 5-6 hours.
No notable differences were seen between the arms in vital parameters and clinical laboratory
(hematology and biochemistry) evaluations except lymphocyte count decrease, which was seen in
11 (50%) patients in Arm A and 2 (20%) patients in Arm B. The events in Arm A, although severe
in nature, were transient, without any clinical consequences , and considered to be related to the
study drug. The events can be attributed to the mechanism of action of the drug and expected in
keeping with the known safety profile of the drug.
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Discussion
Progression of COVID -19 is associated with systemic hyperinflammation and e levation of
inflammatory markers. As a consequence of this exaggerated immune response, there is a pro-
inflammatory cytokine release syndrome, which is associated wit h high mortality in COVID -19
patients [26]. In patients in intensive care, who are critically ill (require ventilation) and seriously
ill (require oxygen support), there is an increased concentration of IL-2, IL-7, IL-10, GM-CSF, IP-
10, MCP1, MIP1a and TNF -a [5]. This inflammatory pathophysiology of COVID -19 has
encouraged research into the use of immunomodulating treatments, such as Itolizumab, i n
moderate to severe cases of COVID-19, which was approved seven years ago for use in psoriasis
in India and has also been used in rheumatoid arthritis [27–29]. Further, the mechanism of action
of Itolizumab ensures immunomodulating effect by acting upstream in the Th1 and Th17
pathways, thus providing additional benefits over other similar agents [30,31].
Building on the experience of using Itolizumab, its documented safety profile, and its mechanism
of action , we undertook the current study to explore its potential to prevent cytokine release
syndrome and reduce mortality in moderate to severe ARDS in COVID-19 patients. The current
effort provides encouraging results, particularly with respect to mortality noted at the end of 30
days follow-up, and the re is a need to replicate these findings either through additional, larger
clinical trials or post-marketing surveillance studies.
With the global caseload of COVID-19 edging past 60 million, and the death tally having crossed
a million, it is imperative to explore therapeutic alternatives which can not only prevent
progression to severe disease, but also reduce mortality and morbidity before clinical response
capacities are overwhelmed [1,32]. We id entified a mortality benefi t in the current study and
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interpret this cautiously considering the small sample size and usual limitations of undertaking an
open label study , which has been conducted within the restrictions imposed by an ongoing
pandemic [33]. We further acknowledge that the open-label design is also known to yield slightly
larger estimates of effect size, to ameliorate which blinded, large clinical trials need to be
conducted [34]. However, what is encouraging is that in addition to the mortality benefit, the
current effort also identified favorable outcomes related to improved lung functions, biomarker
profile and clinical resolution, especially with respect to respiratory/ventilatory support
requirements. This constellation of clinical and laboratory findings supporting the beneficial effect
of Itolizumab, which are like ly to be internally valid for the giv en patient set, warrants deeper
investigation to ensure generalizability and external validity of the results . The recent emergency
use authorization accorded to Itolizumab for use in COVID-19 patients in India and Cuba, provides
a window of opportunity to conduct a larger, global, phase 3 study and undertake post-marketing
surveillance to explore the utility and impact of Itolizumab in COVID -19 cases with cytokine
release syndrome.
The role of systemic vasculitis and cytokine mediated coagulation disorders have been recognized
as significant factors for multi organ failure in patients with severe COVID-19 complications [35].
In patients with respiratory distress, levels of organ dysfunction markers such as D -dimer and
lactate dehydrogenase (LDH) and surrogate markers of inflammation or cellular damage, such as
ferritin and CRP , need to be closely monitored a s they are considered as markers for potential
progression to critical illness [36–38]. Elevated LDH levels indicate acute inflammation and have
been associated with a 6 -fold increase in the odds of progressing to severe COVID -19 and a 16-
fold increase in odds of dying from COVID -19 [39]. D- dimer levels indicate coagulopath y and
higher values have been shown to be associated with poorer clinical outcomes [40,41]. S erum
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ferritin levels indicate RBC damage and have been identified to be independently associated with
the development of severe COVID-19 [42]. Plasma CRP levels have also been associated with CT
confirmed moderate to severe pneumonia in COVID -19 patients [43]. E ncouraging trends were
noted for all these biomarkers in Arm A patients, who received Itolizumab in addition to best
standard of care. A consistent reduction in D-dimer and LDH levels were seen in Arm A unlike in
Arm B where no pattern was observed. The mean change in ferritin from baseline was higher in
Arm A at all timepoints. Further, decreasing levels of these markers was accompanied by clinical
improvement in patients receiving Itolizumab.
A four-fold decrease was seen in IL -6 levels in Arm A after the administration of Itolizumab
(p=0.0269) while a 30% increase was observed in Arm B. Our findings are also in agreement with
the preliminary findings from a small study from Cuba, where reduction in IL -6 levels was seen
in COVID-19 patients treated with Itolizumab [44]. TNF-α also followed a similar trend (four-
fold decrease) as IL6 in Arm A after administration of Itolizumab (p= 0.025). In contrast, a three-
fold increase in TNF-α was seen in Arm B.
A decrease in lymphocyte count has been observed in COVID -19 patients [45]. Absolute
lymphocyte count is considered as an important prognostic marker in COVID -19 infection [46].
In Arm A, a transient reduction in ALC was seen by Day 7, which was considered related to the
study drug. However, the levels increased from Day 7 to Day 30 and was comparable to Arm B ,
and this did not have any adverse clinical outcomes in the patients.
A total of five serious TEAEs were reported in the study of which 3 deaths were reported in Arm
B. Of the two serious TEAEs reported in Arm A, one (pericardial effusion) was related to
underlying comorbidity (hypothyroidism) and was unrelated to the drug. The other was
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anaphylaxis due to infusion reaction, which is a known adverse effect of Itolizumab. The reported
anaphylactic reaction was due to the shorter duration of infusion (2 hours). Other than the serious
case of infusion reaction, non- serious treatment related inf usion reactions were reported which
abated with the extension of infusion period to 5 -6 hours. The TEAEs such as infusion reactions
and related events reported in the study were those expected for a monoclonal antibody (in
treatment of psoriasis with the s tudy drug, 10- 15% of patients experienced infusion related
reaction) [20]. The other treatment related AE was lymphocyte count decrease which was transient,
and the patients recovered. In general, immunomodulatory drugs are expected to increase the risk
of infection by acting on the immune system. However, in this study only one case of unrelated
infection was reported in Arm A. These results are in line with the earlier finding with Itolizumab
[17,19,22,29,47].
Considering the paucity of clinical therapeutic alternatives for COVID -19, the current effort
highlights Itolizumab as a promising prospect deserving further study. Several ‘repurposed’,
‘emergency use’ or ‘off -label’ drugs are being considered as treatment alternatives for
management of cas es in the earlier phase of the disease, when interfering with viral replication
may provide clinical benefits . Hydroxychloroquine has been shown to have limited clinical
effectiveness [48–54], and Remdesivir [55,56] Favipiravir [57,58] and convalescent plasma [59–
61] remain under investigation. If the patient enters the mechanical ventilation phase or when the
patient’s condition is deteriorating despite oxygen administration, corticosteroids like methyl
prednisolone and dexamethasone can be administered to prevent inflammation and further reduce
mortality [35,62]. Other interventions like heparin to prevent blood clots and thrombogenic
response, antibiotics such as azithromycin and ivermectin to reduce infections continue to be used
in mild to moderate cases of COVID-19.
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Immunomodulatory drugs find use in COVID-19 when the inflammatory cascades are starting to
get activated. Tocilizumab, an IL-6 inhibitor, used in rheumatoid arthritis, has been repurposed for
use in COVID-19, and has also received emergency use authorization in India. However, it remains
limited by the fact that it blocks only IL-6, has no T-cell mediated immunomodulation, and has a
short duration of action due to its downstream point of action [30,63–68]. Itolizumab has a broad
immunological window being a CD6 inhibitor and is an option in the treatment of cytokine release
syndrome in COVID-19 patients.
Conclusion
The current investigation highlights the potential of Itolizumab as a promising, safe and effective
immunomodulatory therapy for COVID -19 patients with cytokine release syndrome , as it
efficiently controls immune hyperactivation, resulting in reduction in morbidity and mortality from
moderate to severe COVID-19.
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Acknowledgements
Editorial assistance was provided by Shivani Mittra , PhD and Ubhayabharathi Gurunath, M .Sc
(Biocon Biologicals Ltd.).
Clinical support was provided by Arpitkumar Prajapati, M.D., Radhika A, M.D., and Sarika S
Deodhar, M.D. (Biocon Biologicals Ltd).
Trial operation support was provided by Anirudh Sahoo, M.Pharm (Biocon Biologicals Ltd).
Sandeep N. Athalye, as the guarantor of this work, takes full responsibility for the work as a whole,
including the study design, access to data, and the decision to submit and publish the manuscript.
Funding
The study was funded by Biocon Biologics India Limited and the funders did not have any role in
patient recruitment and management.
Disclosures
Suresh Kumar, Rosemarie de Souza, Milind Nadkar, Randeep Guleria and Anjan Trikha report no
competing interests. Subramanian Loganathan and Sandeep N. Athalye are employees of Biocon
Biologics Ltd. and holds stocks in Biocon. S hashank R. Joshi has received
Speaker/Advisory/Research Grants from Abbott, Astra, Biocon, Boe hringer Ingelheim, Eli Lilly,
Franco Indian, Glenmark, Lupin, Marico, MSD, Novartis, Novo Nordisk, Roche, Sanofi, Serdia
and Zydus. Ashwani Marwah and Sivakumar Vaidyanathan are employees of Biocon Biologic s
Ltd. The authors have no other relevant affiliations or financial involvement with any organization
or entity with a financial interest in or financial conflict with the subject matter or materials
discussed in the manuscript apart from those disclosed.
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Authorship Statement
All authors were involved in the design of the clinical study, analyzed and interpreted the study
data and results. All authors participated in the preparation and review of the manuscript. All
authors read and approved the final version of the manuscript.
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