Dear Editor,
Although dexamethasone is approved for the hyperinflammation treatment of hospitalised COVID-19 patients, non-hospitalised patients do not benefit from this therapy.1 A potential drug for treating COVID-19 patients is polymerised type I collagen (PTIC). A downregulator of pro-inflammatory cytokines, adhesion molecules (ELAM-1, VCAM-1, and ICAM-1), cyclooxygenase (Cox)-1 enzyme and the collagenases expression through the modulation of transcription of factor NF-kB.2–6 The intramuscular or subcutaneous administration of PTIC to patients with active RA (Phase II studies) improved the count of swollen joints and morning stiffness; 57% of patients achieved an ACR score of 50, and 30% had disease remission with this therapeutic combination. PTIC was safe and well-tolerated in long-term treatment, without adverse effects.7–9
A double-blind, randomised, placebo-controlled clinical trial evaluated the PTIC intramuscular administration's safety and efficacy on hyperinflammation, oxygen saturation and symptom improvement in adult symptomatic COVID-19 outpatients (https://www.medrxiv.org/content/10.1101/2021.05.12.21257133v1).
Eighty-nine participants with a confirmed COVID-19 diagnosis (mild to moderate disease) were included from August 31 to November 7, 2020, and followed for 12 weeks. Patients were randomly assigned to receive either 1.5 ml of PTIC intramuscularly every 12 h for 3 days and then every 24 h for 4 days (n = 45) or a matching placebo (n = 44) (sample size is describe in Methodology S1). Demographics, clinical characteristics, coexisting conditions and symptoms are described in Table 1. Ninety-eight per cent of patients in the PTIC group and 95.5% in the placebo group were analysed by the intention-to-treat principle (Figure S1). Of 89 patients at baseline, 64 (72%) were being treated with acetaminophen, 28 (31.5%) with acetylsalicylic acid, 5 (5.6%) with antivirals and 36 (40.4%) with antibiotics. The use of acetaminophen (71% vs. 73%), acetylsalicylic acid (27% vs. 39%), antivirals (7% vs. 5%) and antibiotics (40% vs. 41%) were similar in the PTIC and placebo groups, respectively. No patients were treated with anticoagulants or steroids.
TABLE 1 Baseline demographic and clinical characteristics of the trial population
Characteristic | All subjects (N = 89) | PTCI (N = 45) | Placebo (N = 44) | p Value |
Comparability of randomised groups | ||||
Age (years), mean ± SD Median Range |
48.5 ± 14.1 48.0 19.0–78.0 |
48.4 ± 14.4 47.0 19.0–77.0 |
48.6 ± 13.9 48.0 22.0–78.0 |
.9917 |
18–39 years, n (%) | 24 (27.0) | 13 (28.9) | 11 (25.0) | .7585 |
40–64 years, n (%) | 52 (58.4) | 25 (55.6) | 27 (61.4) | |
65+ years, n (%) | 13 (14.6) | 7 (16.3) | 6 (13.6) | |
Male sex, n (%) | 37 (41.6) | 18 (40.0) | 19 (44.2) | .9008 |
BMI (kg/m2), mean ±SD Median Range |
28.0 ± 4.5 27.9 18.6–40.8 |
27.8 ± 4.5 27.9 18.6–40.3 |
28.2 ± 4.5 27.7 20.1–40.8 |
.7934 |
Overweight, n (%) | 39 (43.8) | 21 (46.7) | 18 (40.1) | .3847 |
Obesity, n (%) | 25 (28.1) | 11 (25.0) | 14 (32.5) | .4758 |
Baseline Guangzhou Severity Index, mean ± SD Median Range |
87.6 ± 25.9 90.1 29.4–137.5 |
87.9 ± 30.2 92.0 29.4–135.1 |
87.3 ± 20.8 88.7 35.5–137.5 |
.4362 |
Baseline Chest CT Score <20% ≥20% 20–50% >50% |
53 (59.6) 20 (22.5) |
27 (60.0) 8 (17.8) 5 (11.1) 3 (6.7) |
26 (59.1) 12 (27.3) 12 (27.3) 0 (0.0) |
.3353 |
Days from symptom onset to onset of treatment (Median, IQR) |
7.0 (4.0) |
7.0 (4.0) |
7.0 (4.0) |
.7257 |
Oxygen Saturation | ||||
pSO2 ≤ 92% (%) | 28 (31.5) | 13 (28.5) | 16 (36.4) | .325 |
pSO2; mean ± SD Median IQR |
92 ± 2.5 92.0 –91 to 94 |
93 ± 2.0 93 –91 to 95 |
92 ± 2.9 92 –91 to 93 |
.252 |
Laboratory variables | ||||
Complete blood count | ||||
Leukocyte count (×103/μl), mean ± SD Median Range |
5.87 ± 2.08 5.30 2.80–12.50 |
6.03 ± 2.04 5.60 2.80–12.40 |
5.70 ± 2.13 5.00 3.00–12.50 |
.240b |
Haemoglobin (g/dl), mean ± SD Median Range |
15.48 ± 1.72 15.30 10.50–20.10 |
15.50 ± 1.80 15.40 11.90–20.10 |
15.45 ± 1.66 15.15 10.50–18.70 |
.743a |
Platelets (K/μl), mean ± SD Median Range |
273.80 ± 116.16 249 73–910 |
283.18 ± 130.35 249 148–910 |
264.20 ± 100.21 250 73–568 |
.625b |
Lymphocyte count (%), mean ± SD Median Range |
30.13 ± 10.79 30.80 8–57 |
30.15 ± 10.99 31.40 8.1–57 |
30.13 ± 10.72 30.45 8–54 |
0.866a |
Neutrophil count (%), mean ± SD Median Range |
60.05 ± 11.23 58.70 31–82 |
59.89 ± 11.82 58.70 31–81 |
60.22 ± 10.73 58.85 39–82 |
.835a |
Neutrophil-lymphocyte ratio (NLR), mean ± SD Median Range |
2.58 ± 1.91 1.88 0.54–10.25 |
2.62 ± 2.05 1.81 0.54–9.93 |
2.53 ± 1.78 1.91 0.72–10.25 |
.931b |
Liver function test (LFT) | ||||
Total bilirubin (mg/dl), mean ± SD Median Range |
0.62 ± 0.28 0.56 0.18–1.87 |
0.62 ± 0.24 0.54 0.26–1.34 |
0.62 ± 0.33 0.57 0.18–1.87 |
.709b |
Direct bilirubin (mg/dl), mean ± SD Median Range |
0.13 ± 0.07 0.11 0.03–0.44 |
0.13 ± 0.06 0.11 0.04–0.33 |
0.14 ± 0.08 0.12 0.03–0.44 |
.372b |
Indirect bilirubin (mg/dl), mean ± SD Median Range |
0.49 ± 0.22 0.45 0.15–1.56 |
0.49 ± 0.19 0.45 0.22–1.11 |
0.49 ± 0.26 0.46 0.15–1.56 |
.617b |
Aminotransferase, serum aspartate (AST) (U/L), mean ± SD Median Range |
31.09 ± 20.82 26 9–158 |
28.39 ± 15.60 22 11–83 |
33.87 ± 24.97 27.50 9 –1 58 |
.150b |
Aminotransferase, serum alanine (ALT) (U/L), mean ± SD Median Range |
37.42 ± 28.14 29.80 7–129.80 |
35.64 ±29.90 23 9–129.80 |
39.24 ± 26.43 31.50 7–120 |
.176b |
Albumin (g/dl), mean ± SD Median Range |
4.35 ± 0.44 4.34 2.55–5.71 |
4.40 ± 0.50 4.43 2.55–5.71 |
4.32 ± 0.38 4.30 3.52–5.45 |
.189b |
Fasting glucose (mg/dl) Mean ± SD Median Range |
116.75 ± 61.85 98 66–386 |
119.31 ± 64.32 102 66–386 |
114.14 ± 59.86 96.50 72–354 |
.380b |
Lactate dehydrogenase (LDH) (U/L) Mean ± SD Median Range |
166.70 ± 50.59 155 97–325 |
165.09 ± 60.76 150 97–325 |
168.34 ± 38.15 160 99–311 |
.500b |
C-reactive protein (high sensitivity) (mg/dl) Mean ± SD Median Range |
1.63 ± 2.58 0.73 0.02–16.47 |
1.32 ± 2.67 0.50 0.05–16.47 |
1.95 ± 2.49 0.97 0.02–11.49 |
.650b |
Ferritin (ng/ml) Mean ± SD Median Range |
243.46 ± 285.20 161.70 4–1614.40 |
235.14 ± 293.70 161.70 4–1614.40 |
251.96 ± 279.39 161.45 5.60–1277 |
.599b |
D-dimer (ng/dl) Mean ± SD Median Range |
1106.74 ± 3537.99 456 185–29948 |
1732.33 ± 4916.88 491 185–29948 |
466.93 ± 225.22 417 210–1264 |
.226b |
Summary of comorbidities | ||||
None, n (%) | 9 (10.1) | 6 (13.3) | 3 (6.8) | .3645 |
One, n (%) | 17 (19.1) | 7 (15.5) | 10 (22.7) | |
2 or More, n (%) | 63 (70.8) | 32 (71.1) | 31 (70.5) | |
Clinical Comorbidities | ||||
History or current tobacco use, n (%) | 15 (16.9) | 7 (15.5) | 8 (18.1) | .7762 |
Overweight, n (%) | 39 (43.8) | 21 (46.6) | 18 (40.1) | .3847 |
Obesity, n (%) | 25 (28.1) | 11 (24.4) | 14 (31.8) | .4758 |
Hypertension, n (%) | 18 (20.2) | 11 (24.4) | 7 (15.9) | .2640 |
Diabetes, n (%) | 15 (16.9) | 8 (17.7) | 7 (15.9) | .7393 |
Dyslipidaemia, n (%) | 15 (16.9) | 11 (24.4) | 4 (9.1) | .0418 |
Hypertriglyceridemia, n (%) | 43 (48.3) | 22 (48.8) | 21 (47.7) | .7486 |
Coronary artery disease, n (%) | 0 (0.0) | 0 (0.0) | 0 (0.0) | – |
Congestive heart failure, n (%) | 1 (1.1) | 0 (0.0) | 1 (2.3) | .3201 |
Chronic respiratory disease (emphysema), n (%) | 2 (2.3) | 1 (2.3) | 1 (2.3) | .9869 |
Asthma, n (%) | 4 (4.5) | 0 (0.0) | 4 (9.1) | .0429 |
Chronic liver disease (chronic hepatitis, cirrhosis), n (%) | 0 (0.0) | 0 (0.0) | 0 (0.0) | – |
Chronic kidney disease, n (%) | 0 (0.0) | 0 (0.0) | 0 (0.0) | – |
Cancer, n (%) | 0 (0.0) | 0 (0.0) | 0 (0.0) | – |
Immune deficiency (acquired or innate), n (%) | 0 (0.0) | 0 (0.0) | 0 (0.0) | – |
Symptoms | ||||
Dyspnoea, n (%) | 33 (37.1) | 18 (40) | 15 (34.1) | .564 |
Cough, n (%) | 67 (75.2) | 34 (75.6) | 33 (75.0) | .952 |
Chest pain, n (%) | 35 (39.3) | 19 (42.2) | 16 (36.4) | .572 |
Rhinorrhoea, n (%) | 39 (43.8) | 19 (42.2) | 20 (45.5) | .759 |
Headache, n (%) | 46 (51.7) | 22 (48.9) | 24 (54.5) | .593 |
Sore throat, n (%) | 41 (46.1) | 20 (44.4) | 21 (47.7) | .756 |
Malaise, n (%) | 54 (60.7) | 27 (60.0) | 27 (61.4) | .895 |
Arthralgia, n (%) | 44 (49.4) | 18 (40.0) | 26 (59.1) | .072 |
Myalgia, n (%) | 48 (53.9) | 23 (51.1) | 25 (56.8) | .589 |
Brain fog, n (%) | 43 (48.3) | 25 (55.6) | 18 (40.9) | .167 |
Ageusia, n (%) | 50 (56.2) | 28 (62.2) | 22 (50.0) | .8041 |
Anosmia, n (%) | 47 (52.8) | 27 (60.0) | 20 (45.5) | .7651 |
Diarrhoea, n (%) | 19 (21.3) | 11 (24.4) | 8 (18.2) | .471 |
Abdominal pain, n (%) | 22 (24.7) | 8 (17.8) | 14 (31.8) | .125 |
Jaundice, n (%) | 4 (4.5) | 3 (6.7) | 1 (2.3) | .317 |
Vomiting and nausea, n (%) | 5 (5.6) | 2 (4.4) | 3 (6.8) | .627 |
Conjunctivitis, n (%) | 20 (22.5) | 9 (20.0) | 11 (25.0) | .572 |
Cyanosis, n (%) | 0 (0.0) | 0 (0.0) | 0 (0.0) | – |
aT-Student; bMann-Whitney
BMI: body mass index; IQR: interquartile range; PTCI: polymerised type I collagen; pSO2: oxygen saturation; SD: standard deviation.
On day 1 after the last PTIC or placebo administration, the IP-10 levels decreased 75% in the PTIC group (p < .001) and 40% in the placebo group (p = .015) vs. baseline; this reduction was greater in the former group than in the latter (p = .0047; Figure 1A and F). The IL-8 (44%, p = .045), M-CSF (25%, p = .041) and IL-1Ra (36%, p = .05) levels were also decreased in PTIC group vs. baseline (Figure 1B–F). TRAIL levels were decreased in the placebo group (14%, p = .002) vs. baseline (Figures 1E and S2).
[IMAGE OMITTED. SEE PDF]
On days 1, 8 and 90 after the last PTIC or placebo administration, the patient percentage with oxygen saturation readings ≥92% in the PTIC and placebo groups were 90% vs. 67% (p = .007; mean oxygen saturation: 94 ± 2.4 vs. 93 ± 3.3, p = .085), 98% vs. 80% (p = .009; mean oxygen saturation; 95 ± 1.7 vs. 93 ± 2.2, p = .003) and 100% vs. 89% (p = .033; mean oxygen saturation: 95 ± 2.1 vs. 95 ± 2.3, p = .429), respectively (Table 2).
TABLE 2 Study endpoints
Characteristic | 1 day post-treatment with | 8 days post-treatment with | 90 days post-treatment with | ||||||
PTIC (N = 44) | Placebo (N = 43) | p Value | PTIC (N = 42) | Placebo (N = 39) | p Value | PTIC (N = 40) | Placebo (N = 37) | p Value | |
SpO2 ≥ 92%, n (%) | 40 (90.1) | 29 (67.4) | .007 | 41 (97.6) | 31 (79.5) | .009 | 40 (100) | 33 (89.2) | .033 |
pSO2; mean ± SD Median IQR |
94 ± 2.4 94 92–95 |
93 ± 3.3 93 91–95 |
.085 |
95 ± 1.7 95 93–96 |
93 ± 2.2 93 92–95 |
.003 |
95 ± 2.1 95 93–97 |
95 ± 2.3 95 93–97 |
.429 |
O2 supplementation, n (%) | 2 (4.5) | 4 (9.3) | .381 | 1 (2.3) | 1 (2.6) | .958 | 0 (0.0) | 0 (0.0) | - |
Inpatient admissions | 0 (0.0) | 3 (7.0) | .075 | 0 (0.0) | 0 (0.0) | - | 0 (0.0) | 0 (0.0) | - |
Symptoms | |||||||||
Dyspnoea, n (%) Δ (%) |
6 (13.6) –66.6 |
10 (25.6) –33.3 |
.166 |
3 (7.1) –83.3 |
9 (23.1) –40 |
.044 |
6 (15) –66.6 |
6 (16.2) –60 |
.883 |
Cough, n (%) Δ (%) |
17 (38.6) –50 |
22 (56.4) –33.3 |
.105 |
11 (26.2) –67.6 |
21 (53.8) –36.3 |
.011 |
4 (10) –88.2 |
6 (16.2) –81.8 |
.418 |
Chest pain, n (%) Δ (%) |
8 (18.2) –57.8 |
9 (23.1) –43.7 |
.581 |
5 (11.9) –73.6 |
6 (15.4) –62.5 |
.648 |
7 (17.5) –63.1 |
1 (2.7) –93.7 |
.033 |
Rhinorrhoea, n (%) Δ (%) |
9 (20.5) –52.6 |
9 (41) –55.0 |
.772 |
6 (14.3) –68.4 |
6 (15.4) 0.0 |
.889 |
5 (12.5) –73.6 |
3 (8.1) –85.0 |
.528 |
Headache, n (%) Δ (%) |
12 (27.3) –45.4 |
16 (41) –33.3 |
.186 |
9 (21.4) –59.0 |
15 (38.5) –37.5 |
.093 |
10 (25) –54.5 |
14 (37.8) –41.6 |
.224 |
Sore throat, n (%) Δ (%) |
9 (30.5) –55.0 |
10 (25.6) –52.3 |
.575 |
5 (11.9) –75.0 |
6 (15.4) –71.4 |
.648 |
6 (15) –70.0 |
7 (18.9) –66.6 |
.646 |
Malaise, n (%) Δ (%) |
16 (36.4) –40.7 |
18 (46.2) –33.3 |
.365 |
12 (28.6) –55.5 |
11 (28.2) –59.2 |
.971 |
11 (27.5) –59.2 |
8 (21.6) –70.3 |
.374 |
Arthralgia, n (%) Δ (%) |
8 (18.2) –55.5 |
8 (20.5) –69.2 |
.788 |
6 (14.3) –66.6 |
6 (15.4) –76.9 |
.889 |
7 (17.5) –61.1 |
8 (21.6) –69.2 |
.648 |
Myalgia, n (%) Δ (%) |
12 (27.3) –47.8 |
11 (28.2) –56.0 |
.925 |
5 (11.9) –78.2 |
6 (15.4) –76.0 |
.648 |
7 (17.5) –69.5 |
3 (8.1) –88.0 |
.221 |
Brain fog, n (%) Δ (%) |
7 (15.9) –72.0 |
12 (30.8) –33.3 |
.108 |
6 (14.3) –76.0 |
7 (17.9) –61.1 |
.654 |
9 (22.5) –64.0 |
10 (27) –44.4 |
.645 |
Ageusia, n (%) Δ (%) |
18 (40.9) –37.9 |
13 (33.3) –31.5 |
.476 |
11 (26.2) –62.0 |
8 (20.5) –57.8 |
.547 |
5 (12.5) –82.7 |
4 (10.8) –78.9 |
.818 |
Anosmia, n (%) Δ (%) |
23 (52.3) 23.33 |
13 (33.3) 35.0 |
.082 |
16 (38.1) 46.6 |
9 (23.1) 55 |
.144 |
6 (15) 80.0 |
2 (5.4) 90.0 |
.168 |
Diarrhoea, n (%) Δ (%) |
4 (9.1) –63.63 |
6 (15.4) –25 |
.379 |
3 (7.1) –72.7 |
2 (5.1) –75 |
.707 |
1 (2.5) –90.9 |
0 (0.0) –100.0 |
.333 |
Abdominal pain, n (%) Δ (%) |
5 (11.4) –37.5 |
6 (15.4) –57.1 |
.590 |
0 (0.0) –100.0 |
3 (7.7) –78.5 |
.067 |
1 (2.5) –87.5 |
3 (8.1) –78.5 |
.268 |
Jaundice, n (%) Δ (%) |
0 (0.0) –100.0 |
2 (5.1) 100.0 |
.128 |
0 (0.0) –100.0 |
0 (0.0) –100.0 |
- |
0 (0.0) –100 |
1 (2.7) 0.0 |
.295 |
Vomiting and nausea, n (%) Δ (%) |
0 (0.0) –100.0 |
0 (0.0) –100.0 |
1 (2.4) –50 |
0 (0.0) –100.0 |
.332 |
0 (0.0) –100.0 |
0 (0.0) –100.0 |
- | |
Conjunctivitis, n (%) Δ (%) |
1 (2.3) –88.88 |
1 (2.6) –90.9 |
.931 |
1 (2.4) –88.8 |
1 (2.6) –90.9 |
.958 |
2 (5.0) –77.7 |
1 (2.7) –90.9 |
.603 |
Cyanosis, n (%) Δ (%) |
0 (0.0) 0.0 |
1 (2.6) 100.0 |
.285 |
0 (0.0) 0.0 |
0 (0.0) 0.0 |
- |
0 (0.0) 0.0 |
0 (0.0) 0.0 |
- |
Δ: Delta calculated by taking: [(baseline data – day 1, 8 or 97 of follow-up)/baseline data from table 1]×100. p value: PTCI vs. placebo.
IQR: interquartile range; PTCI: polymerised type I collagen; pSO2: oxygen saturation; SD: standard deviation.
The Kaplan–Meier survival curve for oxygen saturations ≥92% while breathing ambient air was statistically different between groups (log-rank p = .0109; Figure 2A). Since there were no significant differences between groups at baseline, we did not make any adjustments. The Cox regression model indicated that the hazard for meeting an oxygen saturation lower than 92% was significantly lower in the PTIC than in the placebo group (HR 0.25, Wald p value = .0384). When stratifying by age, no changes occurred. Based on the accelerated time failure model, subjects of the PTIC group reached oxygen saturations 92% or greater 2.7-fold faster than the placebo group at 3 and 8 days (p < .001 in both cases). In terms of risk, this implied that the PTIC group had a 63% lower risk for mean oxygen saturations readings below 92% (p < .001; Figure 2B).
[IMAGE OMITTED. SEE PDF]
Symptom improvement was reported daily by every patient and compared with baseline. Symptom duration in the PTIC group was reduced by 6.1 ± 3.2 days vs. placebo (Figure S3 and Table 2).
At day 1 post-treatment, 6/87 patients (7%) received supplemental oxygen via nasal cannula: 2/44 (4.5%) of the PTIC group (one patient received 2 L/min and another one received 3 L/min) and 4/43 (9.3%) of the placebo group (4–10 L/min). At day 8 post-treatment, 2 of 81 patients (2.5%) received supplemental oxygen via nasal cannula: 1/42 (2.3%) of the PTIC group (one patient received 2 L/min) and 1/39 (2.6) of the placebo group (4 L/min). At day 90 post-treatment, none of the patients required supplemental oxygen (Table 2).
At 1 day post-treatment, 3/43 subjects (7%) of the placebo group were hospitalised for 5–21 days (Table 2). All patients were discharged alive, and no deaths occurred.
On days 1 and 8 post-treatment with PTIC, serum levels of LDH and high sensitivity CRP (hs-CRP) decreased (52% and 73%, respectively) vs. baseline levels (p = .002 and p < .001). In the placebo group, hsCRP levels were 3% and 67% lower at 1 and 8 days compared with baseline levels (Figure S4 and Table S3).
At days 1 and 8 post-treatment, D-dimer levels in PTIC subjects decreased (55% and 61%, respectively); in the placebo group, D-dimer increased 42% and 32%, respectively Figure S4 and Table S3). No differences were detected in the other laboratory variables compared to the baseline.
No serious adverse events were detected (Table S1 and S2). PTIC was safe and well-tolerated.
In summary, it has been demonstrated that intramuscular PTIC treatment of symptomatic COVID-19 outpatients was useful for decreasing IP-10, IL-8 and M-CSF, all of them biomarkers of severe disease,10 during the first week of treatment. It was associated with better oxygen saturation values when compared to placebo. Also, PTIC shortened symptom duration. On days 1 and 8 post-treatment with PTIC, a higher mean oxygen saturation value and a higher proportion of patients retaining oxygen saturation values ≥92% were observed. This could be related to decreased dyspnoea, chest pain and cough. Regarding systemic inflammation, treatment with PTIC, statistically significant lower levels of hsCRP, D-dimer and LDH, all of them identified as important biomarkers for the activity and severity of the disease, were observed. The benefit was evident in the early stage of the infection (7 days after symptom onset). PTIC was safe and well-tolerated. It did not induce liver damage, impairment of haematopoiesis or alterations in blood count. We think that treating outpatients with PTIC could potentially avoid visits to the Emergency Department and hospitalisations. As judged by symptom improvement, it could aid in preventing sequelae, such as persistent dyspnoea.
ACKNOWLEDGEMENTS
Polymerised type I collagen was donated by Aspid SA de CV. We thank Dr. Alicia Frenk-Mora, Dr. Judith González-Sánchez and Ivonne Aidé Lomelí Almanza for their valuable assistance with the organisation of patient appointments. We thank all patients involved in the study. We also thank the Triage and Emergency Departments.
CONFLICT OF INTEREST
The authors declare that they have no competing interests.
ROLE OF THE FOUNDING SOURCE
The funder of the study had no role in the study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.
RECOVERY Collaborative Group, Horby P, Lim WS, et al. Dexamethasone in hospitalized patients with Covid-19 – preliminary report. N Engl J Med. 2020; 384 : 693-704.
Furuzawa-Carballeda J, Rodríguez-Calderón R, Díaz de León L, Alcocer-Varela J. Mediators of inflammation are down-regulated while apoptosis is up-regulated in rheumatoid arthritis synovial tissue by polymerized collagen. Clin Exp Immunol. 2002; 130 : 140-149.
Furuzawa-Carballeda J, Muñoz-Chable OA, Barrios-Payán J, Hernández-Pando R. Effect of polymerized-type I collagen in knee osteoarthritis. I. In vitro study. Eur J Clin Invest. 2009; 39 (7): 591-597.
Furuzawa-Carballeda J, Macip-Rodríguez P, Galindo-Feria AS, et al. Polymerized-type I collagen induces upregulation of Foxp3-expressing CD4 regulatory T cells and downregulation of IL-17-producing CD4⁺ T cells (Th17) cells in collagen-induced arthritis. Clin Dev Immunol. 2012; 2012 : [eLocator: 618608].
Furuzawa-Carballeda J, Muñoz-Chable OA, Macías-Hernández SI, Agualimpia-Jannig A. Effect of polymerized-type I collagen in knee osteoarthritis. II. In vivo study. Eur J Clin Invest. 2009; 39 (7): 598-606.
Furuzawa-Carballeda J, Lima G, Llorente L, et al. Polymerized-Type I Collagen down-regulates inflammation and improves clinical outcomes in patients with symptomatic knee osteoarthritis post-arthroscopic lavage. A randomized, double-blind placebo-controlled clinical trial. ScientificWorldJournal. 2012; 2012 , [eLocator: Article ID 342854], 11 pages.
Borja-Flores A, Macías-Hernández SI, Hernández-Molina G, et al. Long-term effectiveness of polymerized-type I collagen intra-articular injections in patients with symptomatic knee osteoarthritis: clinical and radiographic evaluation in a cohort study. Adv Orthop. 2020; 2020 : [eLocator: 9398274].
Furuzawa-Carballeda J, Cabral AR, Zapata-Zuñiga M, Alcocer-Varela J. Subcutaneous administration of polymerized-type I collagen for the treatment of patients with rheumatoid arthritis. An open-label pilot trial. J Rheumatol. 2003; 30 (2): 256-259.
Furuzawa-Carballeda J, Fenutria-Ausmequet R, Gil-Espinosa V, et al. Polymerized-type I collagen for the treatment of patients with rheumatoid arthritis. Effect of intramuscular administration in a double-blind placebo-controlled clinical trial. Clin Exp Rheumatol. 2006; 24 (5): 514-520.
Yang Y, Shen C, Li J, Yuan J, Wei J, Huang F, et al. Plasma IP-10 and MCP-3 levels are highly associated with disease severity and predict the progression of COVID-19. J Allergy Clin Immunol. 2020 146 (1): 119-127.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Dear Editor, Although dexamethasone is approved for the hyperinflammation treatment of hospitalised COVID-19 patients, non-hospitalised patients do not benefit from this therapy.1 A potential drug for treating COVID-19 patients is polymerised type I collagen (PTIC). A downregulator of pro-inflammatory cytokines, adhesion molecules (ELAM-1, VCAM-1, and ICAM-1), cyclooxygenase (Cox)-1 enzyme and the collagenases expression through the modulation of transcription of factor NF-kB.2–6 The intramuscular or subcutaneous administration of PTIC to patients with active RA (Phase II studies) improved the count of swollen joints and morning stiffness; 57% of patients achieved an ACR score of 50, and 30% had disease remission with this therapeutic combination. PTIC was safe and well-tolerated in long-term treatment, without adverse effects.7–9 A double-blind, randomised, placebo-controlled clinical trial evaluated the PTIC intramuscular administration's safety and efficacy on hyperinflammation, oxygen saturation and symptom improvement in adult symptomatic COVID-19 outpatients (https://www.medrxiv.org/content/10.1101/2021.05.12.21257133v1). TABLE 1 Baseline demographic and clinical characteristics of the trial population Characteristic All subjects (N = 89) PTCI (N = 45) Placebo (N = 44) p Value Comparability of randomised groups Age (years), mean ± SD Median Range 48.5 ± 14.1 48.0 19.0–78.0 48.4 ± 14.4 47.0 19.0–77.0 48.6 ± 13.9 48.0 22.0–78.0 .9917 18–39 years, n (%) 24 (27.0) 13 (28.9) 11 (25.0) .7585 40–64 years, n (%) 52 (58.4) 25 (55.6) 27 (61.4) 65+ years, n (%) 13 (14.6) 7 (16.3) 6 (13.6) Male sex, n (%) 37 (41.6) 18 (40.0) 19 (44.2) .9008 BMI (kg/m2), mean ±SD Median Range 28.0 ± 4.5 27.9 18.6–40.8 27.8 ± 4.5 27.9 18.6–40.3 28.2 ± 4.5 27.7 20.1–40.8 .7934 Overweight, n (%) 39 (43.8) 21 (46.7) 18 (40.1) .3847 Obesity, n (%) 25 (28.1) 11 (25.0) 14 (32.5) .4758 Baseline Guangzhou Severity Index, mean ± SD Median Range 87.6 ± 25.9 90.1 29.4–137.5 87.9 ± 30.2 92.0 29.4–135.1 87.3 ± 20.8 88.7 35.5–137.5 .4362 Baseline Chest CT Score <20% ≥20% 20–50% >50% 53 (59.6) 20 (22.5) 27 (60.0) 8 (17.8) 5 (11.1) 3 (6.7) 26 (59.1) 12 (27.3) 12 (27.3) 0 (0.0) .3353 Days from symptom onset to onset of treatment (Median, IQR) 7.0 (4.0) 7.0 (4.0) 7.0 (4.0) .7257 Oxygen Saturation pSO2 ≤ 92% (%) 28 (31.5) 13 (28.5) 16 (36.4) .325 pSO2; mean ± SD Median IQR 92 ± 2.5 92.0 –91 to 94 93 ± 2.0 93 –91 to 95 92 ± 2.9 92 –91 to 93 .252 Laboratory variables Complete blood count Leukocyte count (×103/μl), mean ± SD Median Range 5.87 ± 2.08 5.30 2.80–12.50 6.03 ± 2.04 5.60 2.80–12.40 5.70 ± 2.13 5.00 3.00–12.50 .240b Haemoglobin (g/dl), mean ± SD Median Range 15.48 ± 1.72 15.30 10.50–20.10 15.50 ± 1.80 15.40 11.90–20.10 15.45 ± 1.66 15.15 10.50–18.70 .743a Platelets (K/μl), mean ± SD Median Range 273.80 ± 116.16 249 73–910 283.18 ± 130.35 249 148–910 264.20 ± 100.21 250 73–568 .625b Lymphocyte count (%), mean ± SD Median Range 30.13 ± 10.79 30.80 8–57 30.15 ± 10.99 31.40 8.1–57 30.13 ± 10.72 30.45 8–54 0.866a Neutrophil count (%), mean ± SD Median Range 60.05 ± 11.23 58.70 31–82 59.89 ± 11.82 58.70 31–81 60.22 ± 10.73 58.85 39–82 .835a Neutrophil-lymphocyte ratio (NLR), mean ± SD Median Range 2.58 ± 1.91 1.88 0.54–10.25 2.62 ± 2.05 1.81 0.54–9.93 2.53 ± 1.78 1.91 0.72–10.25 .931b Liver function test (LFT) Total bilirubin (mg/dl), mean ± SD Median Range 0.62 ± 0.28 0.56 0.18–1.87 0.62 ± 0.24 0.54 0.26–1.34 0.62 ± 0.33 0.57 0.18–1.87 .709b Direct bilirubin (mg/dl), mean ± SD Median Range 0.13 ± 0.07 0.11 0.03–0.44 0.13 ± 0.06 0.11 0.04–0.33 0.14 ± 0.08 0.12 0.03–0.44 .372b Indirect bilirubin (mg/dl), mean ± SD Median Range 0.49 ± 0.22 0.45 0.15–1.56 0.49 ± 0.19 0.45 0.22–1.11 0.49 ± 0.26 0.46 0.15–1.56 .617b Aminotransferase, serum aspartate (AST) (U/L), mean ± SD Median Range 31.09 ± 20.82 26 9–158 28.39 ± 15.60 22 11–83 33.87 ± 24.97 27.50 9 –1 58 .150b Aminotransferase, serum alanine (ALT) (U/L), mean ± SD Median Range 37.42 ± 28.14 29.80 7–129.80 35.64 ±29.90 23 9–129.80 39.24 ± 26.43 31.50 7–120 .176b Albumin (g/dl), mean ± SD Median Range 4.35 ± 0.44 4.34 2.55–5.71 4.40 ± 0.50 4.43 2.55–5.71 4.32 ± 0.38 4.30 3.52–5.45 .189b Fasting glucose (mg/dl) Mean ± SD Median Range 116.75 ± 61.85 98 66–386 119.31 ± 64.32 102 66–386 114.14 ± 59.86 96.50 72–354 .380b Lactate dehydrogenase (LDH) (U/L) Mean ± SD Median Range 166.70 ± 50.59 155 97–325 165.09 ± 60.76 150 97–325 168.34 ± 38.15 160 99–311 .500b C-reactive protein (high sensitivity) (mg/dl) Mean ± SD Median Range 1.63 ± 2.58 0.73 0.02–16.47 1.32 ± 2.67 0.50 0.05–16.47 1.95 ± 2.49 0.97 0.02–11.49 .650b Ferritin (ng/ml) Mean ± SD Median Range 243.46 ± 285.20 161.70 4–1614.40 235.14 ± 293.70 161.70 4–1614.40 251.96 ± 279.39 161.45 5.60–1277 .599b D-dimer (ng/dl) Mean ± SD Median Range 1106.74 ± 3537.99 456 185–29948 1732.33 ± 4916.88 491 185–29948 466.93 ± 225.22 417 210–1264 .226b Summary of comorbidities None, n (%) 9 (10.1) 6 (13.3) 3 (6.8) .3645 One, n (%) 17 (19.1) 7 (15.5) 10 (22.7) 2 or More, n (%) 63 (70.8) 32 (71.1) 31 (70.5) Clinical Comorbidities History or current tobacco use, n (%) 15 (16.9) 7 (15.5) 8 (18.1) .7762 Overweight, n (%) 39 (43.8) 21 (46.6) 18 (40.1) .3847 Obesity, n (%) 25 (28.1) 11 (24.4) 14 (31.8) .4758 Hypertension, n (%) 18 (20.2) 11 (24.4) 7 (15.9) .2640 Diabetes, n (%) 15 (16.9) 8 (17.7) 7 (15.9) .7393 Dyslipidaemia, n (%) 15 (16.9) 11 (24.4) 4 (9.1) .0418 Hypertriglyceridemia, n (%) 43 (48.3) 22 (48.8) 21 (47.7) .7486 Coronary artery disease, n (%) 0 (0.0) 0 (0.0) 0 (0.0) – Congestive heart failure, n (%) 1 (1.1) 0 (0.0) 1 (2.3) .3201 Chronic respiratory disease (emphysema), n (%) 2 (2.3) 1 (2.3) 1 (2.3) .9869 Asthma, n (%) 4 (4.5) 0 (0.0) 4 (9.1) .0429 Chronic liver disease (chronic hepatitis, cirrhosis), n (%) 0 (0.0) 0 (0.0) 0 (0.0) – Chronic kidney disease, n (%) 0 (0.0) 0 (0.0) 0 (0.0) – Cancer, n (%) 0 (0.0) 0 (0.0) 0 (0.0) – Immune deficiency (acquired or innate), n (%) 0 (0.0) 0 (0.0) 0 (0.0) – Symptoms Dyspnoea, n (%) 33 (37.1) 18 (40) 15 (34.1) .564 Cough, n (%) 67 (75.2) 34 (75.6) 33 (75.0) .952 Chest pain, n (%) 35 (39.3) 19 (42.2) 16 (36.4) .572 Rhinorrhoea, n (%) 39 (43.8) 19 (42.2) 20 (45.5) .759 Headache, n (%) 46 (51.7) 22 (48.9) 24 (54.5) .593 Sore throat, n (%) 41 (46.1) 20 (44.4) 21 (47.7) .756 Malaise, n (%) 54 (60.7) 27 (60.0) 27 (61.4) .895 Arthralgia, n (%) 44 (49.4) 18 (40.0) 26 (59.1) .072 Myalgia, n (%) 48 (53.9) 23 (51.1) 25 (56.8) .589 Brain fog, n (%) 43 (48.3) 25 (55.6) 18 (40.9) .167 Ageusia, n (%) 50 (56.2) 28 (62.2) 22 (50.0) .8041 Anosmia, n (%) 47 (52.8) 27 (60.0) 20 (45.5) .7651 Diarrhoea, n (%) 19 (21.3) 11 (24.4) 8 (18.2) .471 Abdominal pain, n (%) 22 (24.7) 8 (17.8) 14 (31.8) .125 Jaundice, n (%) 4 (4.5) 3 (6.7) 1 (2.3) .317 Vomiting and nausea, n (%) 5 (5.6) 2 (4.4) 3 (6.8) .627 Conjunctivitis, n (%) 20 (22.5) 9 (20.0) 11 (25.0) .572 Cyanosis, n (%) 0 (0.0) 0 (0.0) 0 (0.0) – aT-Student; bMann-Whitney BMI: body mass index; IQR: interquartile range; PTCI: polymerised type I collagen; pSO2: oxygen saturation; SD: standard deviation.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details


1 Department of Dermatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
2 Department of Internal Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
3 Department of Anesthesiology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
4 Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
5 Department of Epidemiology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
6 Escuela de Medicina, Ciudad de México, Mexico City, Mexico, Universidad Panamericana; Division of Surgery, Massachusetts General Hospital, Boston, MA, USA
7 Escuela de Medicina, Ciudad de México, Mexico City, Mexico, Universidad Panamericana
8 Emergency Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
9 Department of Pneumology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
10 Facultad de Medicina, Mexico City, Mexico, Universidad Nacional Autónoma de México; Department of Nephrology and Mineral Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
11 Departments of Experimental Surgery and Surgery, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
12 Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico; Escuela de Medicina, Ciudad de México, Mexico City, Mexico, Universidad Panamericana