Liushen Capsules, a promising clinical candidate for COVID-19, alleviates SARS-CoV-2-induced pulmonary in vivo and inhibits the proliferation of the variant virus strains in vitro

Integrating bioinformatic analysis, network pharmacology, molecular docking and experimental validation to explore the mechanism of Tian Long Cha against influenza virus

ETHNOPHARMACOLOGICAL RELEVANCE

Tong Long Cha (TLC) has been employed in clinical treatment for respiratory diseases, such as influenza, for over three decades. However, the precise mechanisms underlying its defense against influenza remain poorly understood.

AIM OF STUDY

This study aimed to investigate the bioactive compounds, pharmacological effects, and underlying mechanisms of TLC in combating influenza viruses.

METHODS

Ultrahigh-performance liquid chromatography (UPLC)-Q-Exactive analysis was employed to identify the bioactive compounds of TLC. Key therapeutic targets and pathways involved in TLC's treatment for influenza were predicted using bioinformatics analysis, network pharmacology, and molecular docking. The antiviral effects of TLC and its principal active compound against various strains of influenza A viruses (A/Aichi/2/1968 (H3N2), A/PR/8/34 (PR8), A/California/04/2009 (CA04), A/HK/Y280/97(H9N2)) and influenza B virus (B/Lee/1940 (Lee)) were assessed using the cytopathic effect (CPE) inhibition assay and plaque reduction assay in MDCK cells. The therapeutic effects of TLC were evaluated using an influenza H3N2 virus-infected Balb/c mouse model. Quantitative PCR and Western blot analyses were employed to quantify the expression levels of key targets involved in TLC's potential mechanisms within A549 cells and the lungs of mice, as well as to investigate BCL's (baicalin) mechanism in A549 cells post-H3N2 infection. A co-culture model using Jurkat T cells and H3N2-infected A549 cells was also established to verify the modulation of key targets by TLC and BCL by using western blot analyses.

RESULTS

A total of 25 bioactive compounds were identified in TLC, with BCL being the predominant compound. TLC and BCL significantly inhibited the replication of the aforementioned influenza virus strains in MDCK cells. Additionally, TLC reduced weight loss, lung index, viral titers, lung tissue lesions, and levels of pro-inflammatory cytokines (IL-1β, IL-6, IL-8, IP-10, TNF-α), interferon (IFN-γ), and chemokine (MCP-1) in H3N2-infected mice. Mechanistic studies revealed that TLC and BCL upregulated Interleukin (IL)-2-inducible T cell kinase (ITK) and Tyrosine-protein kinase (FYN) expression while downregulating mitogen-activated protein kinase (MAPK14) expression, thereby modulating the T cell receptor signaling pathway, as predicted by bioinformatics analysis, network pharmacology, and molecular docking.

CONCLUSION

TLC could inhibit influenza virus replication and mitigate excessive inflammatory responses by modulating the T cell receptor signaling pathway, suggesting that it may serve as a promising therapeutic agent in traditional Chinese medicine for the treatment of influenza.

Potential antiviral activity of rhamnocitrin against influenza virus H3N2 by inhibiting cGAS/STING pathway in vitro

Influenza remains a serious issue for public health and it's urgent to discover more effected drugs against influenza virus. Rhamnocitrin, as a flavonoid, its effect on influenza virus infection remains poorly explored. In this study, rhamnocitrin showed antiviral effect and anti-apoptosis on influenza virus A/Aichi/2/1968 (H3N2) in MDCK cells and A549 cells. In addition, molecular docking revealed that rhamnocitrin have good binding activity with the target proteins cGAS and STING, molecular dynamic simulation and surface plasmon resonance showed that rhamnocitrin could form a stable complex with the above proteins. Moreover, the qPCR and western blot assays further verified that rhamnocitrin could reduce type I IFN and proinflammatory cytokines production by inhibiting the cGAS/STING pathway. Taken together, the results suggest that rhamnocitrin could be a potential anti-viral agent against influenza.

Investigating the effects of Laggera pterodonta on H3N2-Induced inflammatory and immune responses through network pharmacology, molecular docking, and experimental validation in a mice model

For centuries, Laggera pterodonta (LP), a Chinese herbal medicine, has been widely employed for treating respiratory infectious diseases; however, the mechanism underlying LP's effectiveness against the influenza A/Aichi/2/1968 virus (H3N2) remains elusive. This study aims to shed light on the mechanism by which LP combats influenza in H3N2-infected mice. First, we conducted quasi-targeted metabolomics analysis using liquid chromatography-mass spectrometry to identify LP components. Subsequently, network pharmacology, molecular docking, and simulation were conducted to screen candidate targets associated with AKT and NF-κB. In addition, we conducted a series of experiments including qPCR, hematoxylin-eosin staining, flow cytometry, immunohistochemistry, and enzyme-linked immunosorbent assay to provide evidence that LP treatment in H3N2-infected mice can reduce pro-inflammatory cytokine levels (TNF-α, IL-6, IL-1β, and MCP-1) while increasing T cells (CD3+, CD4+, and CD8+) and syndecan-1 and secretory IgA expression. This, in turn, aids in the prevention of excessive inflammation and the fortification of immunity, both of which are compromised by H3N2. Finally, we utilized a Western blot assay to confirm that LP indeed inhibits the AKT/NF-κB signaling cascade. Thus, the efficacy of LP serves as a cornerstone in establishing a theoretical foundation for influenza treatment.

Preclinical evaluation of the SARS-CoV-2 Mpro inhibitor RAY1216 shows improved pharmacokinetics compared with nirmatrelvir

Although vaccines are available for SARS-CoV-2, antiviral drugs such as nirmatrelvir are still needed, particularly for individuals in whom vaccines are less effective, such as the immunocompromised, to prevent severe COVID-19. Here we report an α-ketoamide-based peptidomimetic inhibitor of the SARS-CoV-2 main protease (Mpro), designated RAY1216. Enzyme inhibition kinetic analysis shows that RAY1216 has an inhibition constant of 8.4 nM and suggests that it dissociates about 12 times slower from Mpro compared with nirmatrelvir. The crystal structure of the SARS-CoV-2 Mpro:RAY1216 complex shows that RAY1216 covalently binds to the catalytic Cys145 through the α-ketoamide group. In vitro and using human ACE2 transgenic mouse models, RAY1216 shows antiviral activities against SARS-CoV-2 variants comparable to those of nirmatrelvir. It also shows improved pharmacokinetics in mice and rats, suggesting that RAY1216 could be used without ritonavir, which is co-administered with nirmatrelvir. RAY1216 has been approved as a single-component drug named 'leritrelvir' for COVID-19 treatment in China.

Recent advances towards natural plants as potential inhibitors of SARS-Cov-2 targets

CONTEXT

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is still ongoing and currently the most striking epidemic disease. With the rapid global spread of SARS-CoV-2 variants, new antivirals are urgently needed to avert a more serious crisis. Inhibitors from traditional medicines or natural plants have shown promising results to fight COVID-19 with different mechanisms of action.

OBJECTIVES

To provide comprehensive and promising approaches to the medical community in the fight against this epidemic by reviewing potential plant-derived anti-SARS-CoV-2 inhibitors.

METHODS

Structural databases such as TCMSP (http://lsp.nwu.edu.cn/tcmsp.php), TCM Database @ Taiwan (http://tcm.cmu.edu.tw/), BATMAN-TCM (http://bionet.ncpsb.org/batman-tcm/) and TCMID (http://www.megabionet.org/tcmid/), as well as PubMed, Sci Finder, Research Gate, Science Direct, CNKI, Web of Science and Google Scholar were searched for relevant articles on TCMs and natural products against SARS-CoV-2.

RESULTS

Seven traditional Chinese medicines formulas have unique advantages in regulating the immune system for treating COVID-19. The plant-derived natural compounds as anti-SARS-CoV-2 inhibitors were identified based on 5 SARS-CoV-2 key proteins, namely, angiotensin-converting enzyme 2 (ACE2), 3 C-like protease (3CLpro), papain-like protease (PLpro), spike (S) protein, and nucleocapsid (N) protein.

CONCLUSIONS

A variety of natural products, such as flavonoids, terpenoids, phenols, and alkaloids, were identified, which could be used as potential SASR-Cov-2 inhibitors. These shed new light on the efficient discovery of SASR-Cov-2 inhibitors from natural products.

Oral Liushen pill for patients with COVID-19: A prospective randomized controlled trial

We examined the efficacy and safety of Liushen pill combined with basic treatment for patients with COVID-19. In total, 181 patients hospitalized with COVID-19, classified as asymptomatic mild type, were randomly divided into the experimental (n = 91) and control (n = 90) groups and were administered placebo (Maizao decoction) and Maizao decoction and Liushen pill, in addition to standard care, respectively. The negative conversion rate of nucleic acid (Day 7), hospital discharge rate (Days 8, 10, and 14), symptom disappearance rate (Days 3, 5, and 7), inflammatory cytokine levels, and adverse events were compared between the groups. The negative viral conversion rate was significantly higher in the experimental than in the control group (48.35 vs. 31.11%, p < 0.05). Subgroup analysis showed a similar significant trend when the Ct value was ≤30 at baseline. After 10 days, the hospital discharge rate was significantly higher in the experimental than in the control group (69.23 vs. 53.33%, p < 0.05). After 3-day medication, the headache symptoms significantly disappeared in the experimental (88.57%) compared to the control group (63.33%) (p < 0.05). After 5 days, the symptom disappearance rates of headache and cough were significantly higher in the experimental (97.14%) than in the control group (97.14 vs. 80.00, p < 0.05; 82.65 vs. 58.93%, p < 0.01, respectively). Posttreatment, the procalcitonin level was significantly lower in the experimental than in the control group (0.09 ± 0.00 vs. 0.14 ± 0.05 ng/L; p < 0.05). There were no significant between-group differences in clinical safety test indices. Early intervention with Liushen pill improved cough and headache and increased negative viral conversion and discharge rate.

Relation between macrophage inflammatory protein-1 and intercellular adhesion molecule-1 and computed tomography findings in critically-ill saudi covid-19 patients

BACKGROUND

Several, clinical and biochemical factors were suggested as risk factors for more severe forms of Covid-19. Macrophage inflammatory protein-1 alpha (MIP-1α, CCL3) is a chemokine mainly involved in cell adhesion and migration. Intracellular adhesion molecule 1 (ICAM-1) is an inducible cell adhesion molecule involved in multiple immune processes. The present study aimed to assess the relationship between baseline serum MIP-1α and ICAM-1 level in critically-ill Covid-19 patients and the severity of computed tomography (CT) findings.

METHODS

The study included 100 consecutive critically-ill patients with Covid-19 infection. Diagnosis of infection was established on the basis of RT-PCR tests. Serum MIP-1α and ICAM-1 levels were assessed using commercially available ELISA kits. All patients were subjected to a high-resolution computed tomography assessment.

RESULTS

According to the computed tomography severity score, patients were classified into those with moderate/severe (n=49) and mild (n = 51) pulmonary involvement. Severe involvement was associated with significantly higher MIP-1α and ICAM-1 level. Correlation analysis identified significant positive correlations between MIP-1α and age, D-dimer, IL6, in contrast, there was an inverse correlation with INF-alpha. Additionally, ICAM-1 showed significant positive correlations with age, D-Dimer,- TNF-α, IL6,while an inverse correlation with INF-alpha was observed.

CONCLUSIONS

MIP-1α and ICAM-1 level are related to CT radiological severity in Covid-19 patients. Moreover, these markers are well-correlated with other inflammatory markers suggesting that they can be used as reliable prognostic markers in Covid-19 patients.

Investigating the effects of Liushen Capsules on the metabolome of seasonal influenza: A randomized clinical trial

Background: Traditional Chinese Medicines (TCMs) are effective strategies for preventing influenza infection. Liushen Capsules can inhibit influenza virus proliferation, significantly mitigate virus-induced inflammation and improve acute lung injury in vitro or in vivo. However, the efficacy and safety of LS in clinical trials, and the role of LS in regulating metabolites in patients are not well known. Materials and methods: A randomized, double-blind, placebo-controlled clinical trial was designed in this study. All participants were enrolled between December 2019 and November 2020. The efficacy and safety were assessed by primary efficacy endpoint ((area under the curve (AUC) analysis)) and secondary endpoint (individual scores for each symptom, remission of symptoms, and rates of inflammatory factors). The serum samples were collected from patients to detect the levels of inflammatory factors using RT-PCR and to identify metabolites using a non-targeted metabolomics ultra-performance liquid chromatography-tandem mass spectrometry (LC-MS). Results: 81 participants from The Second Affiliated Hospital of Guangzhou University of Chinese Medicine and the First Affiliated Hospital of Guangzhou Medical University were completed the full study. After 14 days of intervention, the area under the curve (AUC) of the total symptom scores in LS group was significantly smaller than that in Placebo group (p < 0.001). Alleviation of sore throat, cough and nasal congestion in the LS group was significantly better than that in the Placebo group. The time and number to alleviation of symptoms or complete alleviation of symptoms in LS group was significantly better than that in Placebo group. The adverse effects of clinical therapy were slightly higher in LS group than in Placebo group, but there was no statistical difference. After 14 days of LS intervention, the levels of IL-1ra, Eotaxin, IFN-γ, IL-6, IL-10, IL-13, SCF and TRAIL in serum of participants with influenza infection were significantly decreased compared with Placebo group. It was observed that there were significant differences in the serum metabolic profiles between start- and end- LS groups. Further correlation analysis showed a potential regulatory crosstalk between glycerophospholipids, sphingolipids fatty acyls and excessive inflammation and clinical symptoms. Importantly, it may be closely related to phospholipid, fatty acid, arachidonic acid and amyl-tRNA synthesis pathway metabolic pathways. Conclusion: The study showed there were no clinically significant adverse effects on LS, and a significant improvement in influenza-like symptomatology and inflammatory response in patients treated with LS. Further analysis showed that LS could significantly correct the metabolic disorders in the serum metabolite profile of the patients. This provided new insights into the potential mechanism of LS for the treatment of influenza.