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Minocycline for COVID-19

Minocycline has been reported as potentially beneficial for treatment of COVID-19. We have not reviewed these studies. See all other treatments.
Esmaeilzadeh et al., Effect of minocycline in COVID-19 patients: A randomized clinical trial, Journal of Research in Clinical Medicine, doi:10.34172/jrcm.2023.33324
Introduction: Minocycline a semi-synthetic tetracycline is a potential therapeutic option for COVID-19 because of its anti-inflammatory and immunomodulatory effects. Moreover, its antioxidant, antiviral, and antiapoptotic effects have been proven. In this study, the efficacy of minocycline in the therapy of COVID-19 patients has been evaluated. Methods: A randomized double-blind placebo-controlled clinical trial was performed in Mashhad, Iran. 40 outpatients were randomized to either the treatment with the minocycline group or the placebo group, in a 1:1 ratio with 20 patients in each group. The Iranian National COVID-19 Therapy Regimen at the time was used in both groups and patients in the treatment group also received oral minocycline 100 mg twice day for 14 days. Patients in both groups were followed on days 3, 7, and 14 after initiating therapy for clinical symptom improvement, improvement of lymphocytes, leukocytes, C-reactive protein (CRP) and SpO2. Results: A total of 40 patients with similar demographic and disease characteristics were enrolled. Results showed that the time interval until clinical symptoms improvement was significantly reduced in the minocycline group (6.85±0.79, day) compared to the placebo (10.95±1.18, day) group (P=0.006). Moreover, the time interval until leukocytes reaching normal limits was significantly reduced in the minocycline group (3.95±0.59, day) compared to the placebo (6.72±1.25, day) group (P=0.046). Conclusion: In this randomized double-blind placebo-controlled study, minocycline (100 mg, BID for 14 days) reduced the duration of clinical symptoms improvement as well as the duration of white blood cell (WBC) normalizing in outpatients of COVID-19 disease.
Niarakis et al., Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches, Frontiers in Immunology, doi:10.3389/fimmu.2023.1282859
IntroductionThe COVID-19 Disease Map project is a large-scale community effort uniting 277 scientists from 130 Institutions around the globe. We use high-quality, mechanistic content describing SARS-CoV-2-host interactions and develop interoperable bioinformatic pipelines for novel target identification and drug repurposing. MethodsExtensive community work allowed an impressive step forward in building interfaces between Systems Biology tools and platforms. Our framework can link biomolecules from omics data analysis and computational modelling to dysregulated pathways in a cell-, tissue- or patient-specific manner. Drug repurposing using text mining and AI-assisted analysis identified potential drugs, chemicals and microRNAs that could target the identified key factors.ResultsResults revealed drugs already tested for anti-COVID-19 efficacy, providing a mechanistic context for their mode of action, and drugs already in clinical trials for treating other diseases, never tested against COVID-19. DiscussionThe key advance is that the proposed framework is versatile and expandable, offering a significant upgrade in the arsenal for virus-host interactions and other complex pathologies.
Please send us corrections, updates, or comments. c19early involves the extraction of 100,000+ datapoints from thousands of papers. Community updates help ensure high accuracy. Treatments and other interventions are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment or intervention is 100% available and effective for all current and future variants. We do not provide medical advice. Before taking any medication, consult a qualified physician who can provide personalized advice and details of risks and benefits based on your medical history and situation. FLCCC and WCH provide treatment protocols.
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