Evaluation of The Effect of Crude Extracts of Fenugreek on Resistant Isolates of Candida species (In vitro study)

Background: The recent emergence of fungal resistance strains has caused concern in medical settings. Medicinal plants continue to be viable sources of bioactive chemicals with therapeutic potential. These compounds can be extracted in different techniques using various solvents that give rise to a wide variety of extracted bioactive compounds that act as anti-fungal. The research aimed to evaluate the effect of fenugreek seed extracts on resistant isolates of Candida spp. isolated from sever COVID-19 patients.Methodology: The study was conducted from August 2021 to November 2022 at Al-Imam Al -Hussein Medical City and Al-Hayat Respiratory Diseases Units. Under a specialist's physician's supervision, severe COVID-19 cases were collected. The collected 455 sputum samples were examined directly and cultured on Sabouraud ' s Dextrose agar (SDA) media;growth colonies were distinguished and used Grams stain with the API system before the antifungal susceptibility test was performed in accordance with clinical and laboratory standards institute (CLSI 2020) by disc diffusion method to differentiate the resistance microorganism. The extraction process was conducted using the soxhlet technique (100 grams of seed powder and 800 milliliters of solvents (chloroform, methanol, and water) for eight hours. Electrical rotatory evaporators were used to evaporate the extract to get the concentrated crude extracts. FTIR and GC -MS instruments used to detection of bioactive compounds in crude fenugreek seed extracts(aqueous, methanol, and chloroform). Then, different concentrations of each extract (25, 50, 100, and 150 mg/ml) and their effect against the tested resistance study isolated were examined by well diffusion method and Minimum inhibitory concentration was measured.Results: A 455 were enrolled in this study. Patients' ages ranged from 20 to 91 years (mean 52.23, SD 15.009). This study indicated that more than half of the samples were males [(262) 57.6%] and [(193) 42.4%] were females. The FTIR and GC-MS showed the methanolic extract potent the most bioactive compounds, followed by the chloroform and water extracts. Evaluation of antimicrobial effects at 50 mg/ml, the methanolic extract showed the greatest effect, with a mean inhibition zone of 9.33 mm and a significant value of 0.01;at 100 mg/ml, the chloroform extract showed the next greatest effect, with a mean inhibition zone of 10.33 mm and a significant value of 0.005. At 150 mg/ml, the aqueous extracts showed the least effect, with a mean inhibition zone of 8.33 mm and a non-significant value of 0.024.Conclusions: Candida spp. were most frequent isolated yeast from sputum of patients with severe COVID-19. Methanol extract was the most effective anti-candida, followed by chloroform extract, and the aqueous extract was the least effective. The most effective anti-candida drug is ketoconazole.

Phytochemical Characterization and Screening of the Anti-Pneumonia (Anti-COVID-19, Anti-Fungal, and Anti-Bacterial) Activities of Cuscuta Campestris Extract

Introduction: Although, several vaccines are being approved, no effective antiviral drug has been developed for COVID-19 infectious. The present investigation was aimed to increase the essential oils of Cuscuta campestris using far-red light treatment and examine the potential of crude extracts of C. campestris against selected pneumonia pathogens and COVID-19.Methods: Anti-COVID-19 activity was determined in human lung cell lines and COVID-19 positive patients.Results: Results demonstrated that the aqueous extract had the highest amount of anti-COVID-19, antibiotic and antioxidant activity. The far-red light treatment increased Scoparone, cineole, Benzofuran, 2, 3- dihydro, Cinnamic acid, and Benzo[h]quinoline, 2, 4-dimethyl, which are mainly effective components against COVID-19 inflammation and pneumonia microbes. CT scan and clinical laboratory tests in a clinical case study, a 30-year-old woman who presented with severe 2019-nCoV, demonstrated that inhalation of 30 mg extract nebulized/day for seven days resulted in significant improvement in consolidation and ground-glass opacity in lungs on the seventh day of treatment.Conclusion: It is hoped that this study leads to the introduction of some compounds that could be used to formulate new and more potent anti-COVID-19 antibiotics, or other drugs of natural origin in medicine.

Understanding common population markers for SARS-CoV-2 RNA normalization in wastewater - A review.

Wastewater monitoring and epidemiology have seen renewed interest during the recent COVID-19 pandemic. As a result, there is an increasing need to normalize wastewater-derived viral loads in local populations. Chemical tracers, both exogenous and endogenous compounds, have proven to be more stable and reliable for normalization than biological indicators. However, differing instrumentation and extraction methods can make it difficult to compare results. This review examines current extraction and quantification methods for ten common population indicators: creatinine, coprostanol, nicotine, cotinine, sucralose, acesulfame, androstenedione 5-hydroindoleacetic acid (5-HIAA), caffeine, and 1,7-dimethyluric acid. Some wastewater parameters such as ammonia, total nitrogen, total phosphorus, and daily flowrate were also evaluated. The analytical methods included direct injection, dilute and shoot, liquid/liquid, and solid phase extraction (SPE). Creatine, acesulfame, nicotine, 5-HIAA and androstenedione have been analysed by direct injection into LC-MS; however, most authors prefer to include SPE steps to avoid matrix effects. Both LC-MS and GC-MS have been successfully used to quantify coprostanol in wastewater, and the other selected indicators have been quantified successfully with LC-MS. Acidification to stabilize the sample before freezing to maintain the integrity of samples has been reported to be beneficial. However, there are arguments both for and against working at acidic pHs. Wastewater parameters mentioned earlier are quick and easy to quantify, but the data does not always represent the human population effectively. A preference for population indicators originating solely from humans is apparent. This review summarises methods employed for chemical indicators in wastewater, provides a basis for choosing an appropriate extraction and analysis method, and highlights the utility of accurate chemical tracer data for wastewater-based epidemiology.

A New Drug Formula for Pneumonia and Severe Seasonal Flu; a Promising Drug for Eradicate COVID19.

World Health Organization (WHO) well-known pleiotropic antiviral compounds.This study was designed to evaluate the effects of herbal drug combination in treatment of pneumonia, severe respiratory distress, and severe flu and recently for COVID19.The treatment phase includes 12 days period of herbal drug mixture (X) . Results showed the activity of herbal drug in eradication of COVID19, pneumonia and severe seasonalful.

Metabolites and metabolomics in COVID-19

Metabolomics is a comprehensive approach for identifying, quantifying, and characterizing entire metabolites in a biological system using a high-throughput technique. Metabolomics has great potential in discovering biochemical pathways and pathway interactions, disease diagnosis, and biomarker discovery. Viral infections induce changes in the host cell metabolism resulting in cellular reprogramming. In COVID-19, the dysregulation of host metabolites has been implemented in various aspects including diagnosis and management. This chapter summarizes various applications of metabolites and metabolomics approaches in COVID-19. © 2023 Elsevier Inc. All rights reserved.

Exploring the volatile metabolites of three Chorisia species: Comparative headspace GC-MS, multivariate chemometrics, chemotaxonomic significance, and anti-SARS-CoV-2 potential.

Chorisia (syn. Ceiba) species are important ornamental, economic, and medicinal plants that are endowed with a diversity of secondary metabolites; however, their volatile organic compounds (VOCs) have been scarcely studied. Therefore, this work explores and compares the headspace floral volatiles of three common Chorisia species, namely Chorisia chodatii Hassl., Chorisia speciosa A. St.-Hil, and Chorisia insignis H.B.K. for the first time. A total of 112 VOCs of varied biosynthetic origins were identified at different qualitative and quantitative ratios, encompassing isoprenoids, fatty acid derivatives, phenylpropanoids, and others. Flowers of the investigated species showed perceptibly differentiated volatile profiles, with those emitted by C. insignis being dominated by non-oxygenated compounds (56.69 %), whereas oxygenated derivatives prevailed among the volatiles of C. chodatii (66.04 %) and C. speciosa (71.53 %). The variable importance in the projection (VIP) in the partial least-squares-discriminant (PLS-DA) analysis described 25 key compounds among the studied species, of which linalool was verified as the most important aroma compound based on VIP values and significance analysis, and it could represent the most typical VOC among these Chorisia species. Furthermore, molecular docking and dynamics analyses of both the major and the key VOCs displayed their moderate to promising binding interactions with four main proteins of SARS-CoV-2, including Mpro, PLpro, RdRp, and spike S1 subunit RBD. The current results collectively cast new light on the chemical diversity of the VOCs of Chorisia plants as well as their chemotaxonomic and biological relevance.

Evaluation of The Effect of Crude Extracts of Fenugreek on Resistant Isolates of Candida species (In vitro study)

Background: The recent emergence of fungal resistance strains has caused concern in medical settings. Medicinal plants continue to be viable sources of bioactive chemicals with therapeutic potential. These compounds can be extracted in different techniques using various solvents that give rise to a wide variety of extracted bioactive compounds that act as anti-fungal. The research aimed to evaluate the effect of fenugreek seed extracts on resistant isolates of Candida spp. isolated from sever COVID-19 patients. Methodology: The study was conducted from August 2021 to November 2022 at Al-Imam Al-Hussein Medical City and Al-Hayat Respiratory Diseases Units. Under a specialist's physician's supervision, severe COVID-19 cases were collected. The collected 455 sputum samples were examined directly and cultured on Sabouraud's Dextrose agar (SDA) media;growth colonies were distinguished and used Grams stain with the API system before the antifungal susceptibility test was performed in accordance with clinical and laboratory standards institute (CLSI 2020) by disc diffusion method to differentiate the resistance microorganism. The extraction process was conducted using the soxhlet technique (100 grams of seed powder and 800 milliliters of solvents (chloroform, methanol, and water) for eight hours. Electrical rotatory evaporators were used to evaporate the extract to get the concentrated crude extracts. FTIR and GC-MS instruments used to detection of bioactive compounds in crude fenugreek seed extracts(aqueous, methanol, and chloroform). Then, different concentrations of each extract (25, 50, 100, and 150 mg/ml) and their effect against the tested resistance study isolated were examined by well diffusion method and Minimum inhibitory concentration was measured. Result(s): A 455 were enrolled in this study. Patients' ages ranged from 20 to 91 years (mean 52.23, SD 15.009). This study indicated that more than half of the samples were males [(262) 57.6%] and [(193) 42.4%] were females. The FTIR and GC-MS showed the methanolic extract potent the most bioactive compounds, followed by the chloroform and water extracts. Evaluation of antimicrobial effects at 50 mg/ml, the methanolic extract showed the greatest effect, with a mean inhibition zone of 9.33 mm and a significant value of 0.01;at 100 mg/ml, the chloroform extract showed the next greatest effect, with a mean inhibition zone of 10.33 mm and a significant value of 0.005. At 150 mg/ml, the aqueous extracts showed the least effect, with a mean inhibition zone of 8.33 mm and a non-significant value of 0.024. Conclusion(s): Candida spp. were most frequent isolated yeast from sputum of patients with severe COVID-19. Methanol extract was the most effective anti-candida, followed by chloroform extract, and the aqueous extract was the least effective. The most effective anti-candida drug is ketoconazole.Copyright © 2022.

Bio-guided chemical characterization and nano-formulation studies of selected edible volatile oils with potentials antibacterial and anti-SARS-CoV-2 activities.

The recent pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has opened the door to potential threats of the respiratory system. The discovery of drugs from natural sources is one of the most important strategies for treating the upper respiratory tract. In this study, we investigated the selected formulated EOs activities against Gram-negative (E. coli, K. pneumonia, and P. aeruginosa) and Gram-positive (S. aureus, E. fecalis) bacteria and against the SARS-CoV-2 virus, with the mode of action investigated as anti-SARS-CoV-2. Cinnamomum zeylanicum and Syzygium aromaticum EOs were the most promising antibacterial oils. C. zeylanicum EO showed MIC values of 1, 1, 2, ≤0.5, and 8 µg/mL against E. coli, K. pneumoniae, P. aeruginosa, S. aureus, and E. fecalis, respectively, while S. aromaticum EO showed MIC values of 8, 4, 32, 8, 32 µg/mL against the same organisms. The cytotoxic activity of the oil samples was tested in VERO-E6 cells using (MTT) assay and showed that the safest oil was F. vulgare, then L. nobilis, C. carvi, S. aromaticum, and E. globulus. The most potent antiviral EOs were C. zeylanicum oil and S. aromaticum, with IC50 value of 15.16 and 96.5 µg/mL, respectively. Moreover, the safety index of S. aromaticum EO (26.3) was greater than the oil of C. zeylanicum (7.25). The mechanism by which C. zeylanicum oil exerts its antiviral activity may involve both the virucidal effect and its impact on viral reproduction. The nano-emulsion dosage form of the potent EOs was prepared and re-examined against the same bacterial and viral strains. Finally, the chemical characterization of these promising essential oils was analyzed and identified using the GC-MS approach. To the best of our knowledge, this is the first report concerning the in vitro investigation of anti-SARS-CoV-2 activity of these selected essential oils, along with a proposed mechanism for the potent oil's activity.

Resource recovery from discarded COVID-19 PPE kit through catalytic fast pyrolysis.

During the COVID-19 pandemic, the world saw an exponential surge in the production of Personal Protective Equipment (PPE) kits, which eventually got discarded in the biomedical waste stream. In this study, thirteen different polymer samples from the PPE kit were collected and characterized using Fourier transform infrared spectrometer, thermogravimetric analysis, and analytical pyrolysis-gas chromatograph/mass spectrometry. The characterization data showed that about 94 % by mass of components were made of only three polymers, viz. polypropylene (PP, 75.6 wt %), polyethylene terephthalate (PET, 12.5 wt %), and polycarbonate (PC, 6 wt %). The analytical pyrolysis of the PPE coverall suit (PP) yielded mainly alkenes containing 2,4-dimethyl-1-heptene as the major compound with 17 wt % yield at 600 °C. The pyrolysates from face shield (PET) were rich in benzoic acid (5.8 wt %) and acetophenone (4.8 wt %), while those from safety goggles (PC) were rich in phenol (17.6 wt %) and p-cresol (12.4 wt %) at 600 °C. HZSM-5 and HY zeolites were used for the catalytic upgradation of pyrolysates especially from PP, PET and PC. The temperature and feed-to-catalyst ratio were optimized by performing catalytic fast pyrolysis experiments at 500 °C, 600 °C and 700 °C with different feed-to-catalyst ratios 1:2, 1:4, and 1:6 (w/w). The yield of aromatic hydrocarbons, viz., BTEX (benzene, toluene, ethylbenzene, xylenes) and naphthalene, was maximum (∼25.7 wt %) from PP coverall when HY catalyst was used at 600 °C and 1:6 (w/w) loading. In the case of PET face shield, the total yield of BTEX, naphthalene and biphenyl was maximum (27.9 wt %) at 600 °C and 1:4 (w/w) of HZSM-5, while in the case of PC goggles, it was maximum (18.6 wt %) at 700 °C and 1:4 (w/w) of HY. This study shows that the entire PPE kit can be valorized via catalytic fast pyrolysis to generate petrochemical products and platform molecules like monoaromatic hydrocarbons at high selectivities.

Metabolomics as a powerful tool for diagnostic, pronostic and drug intervention analysis in COVID-19.

COVID-19 currently represents one of the major health challenges worldwide. Albeit its infectious character, with onset affectation mainly at the respiratory track, it is clear that the pathophysiology of COVID-19 has a systemic character, ultimately affecting many organs. This feature enables the possibility of investigating SARS-CoV-2 infection using multi-omic techniques, including metabolomic studies by chromatography coupled to mass spectrometry or by nuclear magnetic resonance (NMR) spectroscopy. Here we review the extensive literature on metabolomics in COVID-19, that unraveled many aspects of the disease including: a characteristic metabotipic signature associated to COVID-19, discrimination of patients according to severity, effect of drugs and vaccination treatments and the characterization of the natural history of the metabolic evolution associated to the disease, from the infection onset to full recovery or long-term and long sequelae of COVID.

Chemical Profiling and Biological Properties of Essential Oils of Lavandula stoechas L. Collected from Three Moroccan Sites: In Vitro and In Silico Investigations.

The aim of this study was the determination of the chemical compounds of Lavandula stoechas essential oil from Aknol (LSEOA), Khenifra (LSEOK), and Beni Mellal (LSEOB), and the in vitro investigation of their antibacterial, anticandidal, and antioxidant effects, and in silico anti-SARS-CoV-2 activity. The chemical profile of LSEO was determined using GC-MS-MS analysis, the results of which showed a qualitative and quantitative variation in the chemical composition of volatile compounds including L-fenchone, cubebol, camphor, bornyl acetate, and τ-muurolol; indicating that the biosynthesis of essential oils of Lavandula stoechas (LSEO) varied depending on the site of growth. The antioxidant activity was evaluated using the ABTS and FRAP methods, our results showed that this tested oil is endowed with an ABTS inhibitory effect and an important reducing power which varies between 4.82 ± 1.52 and 15.73 ± 3.26 mg EAA/g extract. The results of antibacterial activity of LSEOA, LSEOK and LSEOB, tested against Gram-positive and Gram-negative bacteria, revealed that B. subtilis (20.66 ± 1.15-25 ± 4.35 mm), P. mirabilis (18.66 ± 1.15-18.66 ± 1.15 mm), and P. aeruginosa (13.33 ± 1.15-19 ± 1.00 mm) are the most susceptible strains to LSEOA, LSEOK and LSEOB of which LSEOB exhibits bactericidal effect against P. mirabilis. furthermore The LSEO exhibited varying degrees of anticandidal activity with an inhibition zones of 25.33 ± 0.5, 22.66 ± 2.51, and 19 ± 1 mm for LSEOK, LSEOB, and LSEOA, respectively. Additionally, the in silico molecular docking process, performed using Chimera Vina and Surflex-Dock programs, indicated that LSEO could inhibit SARS-CoV-2. These important biological properties of LSEO qualify this plant as an interesting source of natural bioactive compounds with medicinal actions.

Gas chromatography-mass spectrometry (GC-MS) profiling of aqueous methanol fraction of Plagiochasma appendiculatum Lehm. & Lindenb. and Sphagnum fimbriatum Wilson for probable antiviral potential.

The bryophytes consist of liverworts, mosses, and hornworts, among which the liverworts are quite different in having cellular oil bodies and contain numerous terpenoids, acetogenins, quinones, phenylpropanoids, flavonoids, etc. These metabolites exhibit interesting biological activity such as allergenic response, insecticide, cytotoxic, neurotrophic, antimicrobial, and anti-HIV actions, etc. Though several bioactive compounds have been isolated in many liverworts, yet most of the liverworts have been unexplored till date regarding their phytochemistry. The ability of liverworts to generate a wide range of important phytochemicals makes them a hoard of bioactive compounds. In the past, a few species of bryophytes have been evaluated against a few viruses and interesting results were obtained that showed their role as an immunity enhancer against viral infection. The phytoconstituents found in liverworts and mosses can be useful to increase human immunity against a variety of viruses, including SARS-CoV-2. Keeping this in view, one of the most developed and robust metabolomics technologies, Gas chromatography-mass spectroscopy (GC-MS) was used to estimate the various phytoconstituents found in a commonly growing thalloid liverwort, Plagiochasma appendiculatum, and moss Sphagnum fimbriatum. The obtained profiles were appraised for their bioactive potential and probable role as antiviral agents.

Investigating the Use of SARS-CoV-2 (COVID-19) Odor Expression as a Non-Invasive Diagnostic Tool-Pilot Study.

Since the beginning of the COVID-19 pandemic, there has been enormous interest in the development of measures that would allow for the swift detection of the disease. The rapid screening and preliminary diagnosis of SARS-CoV-2 infection allow for the instant identification of possibly infected individuals and the subsequent mitigation of the disease spread. Herein, the detection of SARS-CoV-2-infected individuals was explored using noninvasive sampling and low-preparatory-work analytical instrumentation. Hand odor samples were obtained from SARS-CoV-2-positive and -negative individuals. The volatile organic compounds (VOCs) were extracted from the collected hand odor samples using solid phase microextraction (SPME) and analyzed using gas chromatography coupled with mass spectrometry (GC-MS). Sparse partial least squares discriminant analysis (sPLS-DA) was used to develop predictive models using the suspected variant sample subsets. The developed sPLS-DA models performed moderately (75.8% (±0.4) accuracy, 81.8% sensitivity, 69.7% specificity) at distinguishing between SARS-CoV-2-positive and negative -individuals based on the VOC signatures alone. Potential markers for distinguishing between infection statuses were preliminarily acquired using this multivariate data analysis. This work highlights the potential of using odor signatures as a diagnostic tool and sets the groundwork for the optimization of other rapid screening sensors such as e-noses or detection canines.

Intelligent COVID-19 screening platform based on breath analysis.

The spread of coronavirus disease 2019 (COVID-19) results in an increasing incidence and mortality. The typical diagnosis technique for severe acute respiratory syndrome coronavirus 2 infection is reverse transcription polymerase chain reaction, which is relatively expensive, time-consuming, professional, and suffered from false-negative results. A reliable, non-invasive diagnosis method is in urgent need for the rapid screening of COVID-19 patients and controlling the epidemic. Here we constructed an intelligent system based on the volatile organic compound (VOC) biomarkers in human breath combined with machine learning models. The VOC profiles of 122 breath samples (65 of COVID-19 infections and 57 of controls) were identified with a portable gas chromatograph-mass spectrometer. Among them, eight VOCs exhibited significant differences (p< 0.001) between the COVID-19 and the control groups. The cross-validation algorithm optimized support vector machine (SVM) model was employed for the prediction of COVID-19 infection. The proposed SVM model performed a powerful capability in discriminating COVID-19 patients from healthy controls, with an accuracy of 97.3%, a sensitivity of 100%, a specificity of 94.1%, and a precision of 95.2%, and anF1 score of 97.6%. The SVM model was also compared with other common machine models, including artificial neural network,k-nearest neighbor, and logistic regression, and demonstrated obvious superiority in the prediction of COVID-19 infection. Furthermore, user-friendly software was developed based on the optimized SVM model. The developed intelligent platform based on breath analysis provides a new strategy for the point-of-care screening of COVID and shows great potential in clinical application.

Inhibitory Activity of Saussurea costus Extract against Bacteria, Candida, Herpes, and SARS-CoV-2.

Medicinal herbs have long been utilized to treat various diseases or to relieve the symptoms of some ailments for extended periods. The present investigation demonstrates the phytochemical profile, molecular docking, anti-Candida activity, and anti-viral activity of the Saussurea costus acetic acid extract. GC-MS analysis of the extract revealed the presence of 69 chemical compounds. The chemical compounds were alkaloids (4%), terpenoids (79%), phenolic compounds (4%), hydrocarbons (7%), and sterols (6%). Molecular docking was used to study the inhibitory activity of 69 identified compounds against SARS-CoV-2. In total, 12 out of 69 compounds were found to have active properties exhibiting SARS-CoV-2 inhibition. The binding scores of these molecules were significantly low, ranging from -7.8 to -5.6 kcal/mol. The interaction of oxatricyclo [20.8.0.0(7,16)] triaconta-1(22),7(16),9,13,23,29-hexaene with the active site is more efficient. Furthermore, the extract exhibited significant antimicrobial activity (in vitro) against Candida albicans, which was the most susceptible microorganism, followed by Bacillus cereus, Salmonella enterica, Staphylococcus aureus, Escherichia coli, and Pseudomonas aeruginosa, respectively. On the other hand, its antiviral activity was evaluated against HSV-1 and SARS-CoV-2, and the results showed a significant positive influence against HSV-1 (EC50 = 82.6 g/mL; CC50 = 162.9 g/mL; selectivity index = 1.9). In spite of this, no impact could be observed in terms of inhibiting the entry of SARS-CoV-2 in vitro.

The Use of Biological Sensors and Instrumental Analysis to Discriminate COVID-19 Odor Signatures.

The spread of SARS-CoV-2, which causes the disease COVID-19, is difficult to control as some positive individuals, capable of transmitting the disease, can be asymptomatic. Thus, it remains critical to generate noninvasive, inexpensive COVID-19 screening systems. Two such methods include detection canines and analytical instrumentation, both of which detect volatile organic compounds associated with SARS-CoV-2. In this study, the performance of trained detection dogs is compared to a noninvasive headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) approach to identifying COVID-19 positive individuals. Five dogs were trained to detect the odor signature associated with COVID-19. They varied in performance, with the two highest-performing dogs averaging 88% sensitivity and 95% specificity over five double-blind tests. The three lowest-performing dogs averaged 46% sensitivity and 87% specificity. The optimized linear discriminant analysis (LDA) model, developed using HS-SPME-GC-MS, displayed a 100% true positive rate and a 100% true negative rate using leave-one-out cross-validation. However, the non-optimized LDA model displayed difficulty in categorizing animal hair-contaminated samples, while animal hair did not impact the dogs' performance. In conclusion, the HS-SPME-GC-MS approach for noninvasive COVID-19 detection more accurately discriminated between COVID-19 positive and COVID-19 negative samples; however, dogs performed better than the computational model when non-ideal samples were presented.

Unraveling the mystery of efficacy in Chinese medicine formula: New approaches and technologies for research on pharmacodynamic substances.

Traditional Chinese medicine (TCM) is the key to unlock treasures of Chinese civilization. TCM and its compound play a beneficial role in medical activities to cure diseases, especially in major public health events such as novel coronavirus epidemics across the globe. The chemical composition in Chinese medicine formula is complex and diverse, but their effective substances resemble "mystery boxes". Revealing their active ingredients and their mechanisms of action has become focal point and difficulty of research for herbalists. Although the existing research methods are numerous and constantly updated iteratively, there is remain a lack of prospective reviews. Hence, this paper provides a comprehensive account of existing new approaches and technologies based on previous studies with an in vitro to in vivo perspective. In addition, the bottlenecks of studies on Chinese medicine formula effective substances are also revealed. Especially, we look ahead to new perspectives, technologies and applications for its future development. This work reviews based on new perspectives to open horizons for the future research. Consequently, herbal compounding pharmaceutical substances study should carry on the essence of TCM while pursuing innovations in the field.

Integrating in silico and in vivo approach for investigating the role of polyherbal oil in prevention and treatment of COVID-19 infection.

Currently, there are no FDA approved antiviral drugs available to treat COVID-19 patients. Also, due to emergence of new SARS-CoV-2 variants, the protective efficacy of vaccines could be reduced, hence it is urgent to have alternative treatments for combating the SARS-CoV-2 infection. Since, there is a long-standing history of herbal medicine in the treatment of respiratory diseases. In the present study, we investigated two polyherbal oil blend viz. Sudarshan AV and Elixir AV (SAV and EAV) in inhibiting SARS-COV-2. From GC-MS analysis of polyherbal oils (SAV and EAV) a total of 11 active compounds were selected, on the basis of their abundance and activity. Further, from the molecular docking studies, we found an inhibitory effect of these compounds on viral envelope and membrane, spike proteins whilst an agonistic effect with human host receptor angiotensin-converting enzyme 2 (ACE2) implicating the crucial role of the individual compound in resistance of SARS-CoV-2. Since, the in-silico results suggest that polyherbal oil (SAV and EAV) contributes in preventing the entry of SARS-CoV-2 into the human body, we further investigated the efficacy of polyherbal formulated essential oil (FEO; SAV & EAV) in prevention and treatment of COVID-19 in hamster model. The male golden Syrian hamsters (n = 23) were divided into 5 groups i.e., Group 1: Control (n = 3); Group 2: Infected (n = 5); Group 3: Infected + Remdesivir (n = 5); Group 4: Infected + FEO (n = 5) and Group 5: Prophylactic FEO + Infected (n = 5). In both treatment and prophylactic groups, the FEO's significantly reduced the lung injury investigated histo-pathologically and viral load expression measured by real time PCR in comparison to infected hamsters. Furthermore, cytokines expression analysis clearly highlighted the efficacy of FEO's due to its anti-inflammatory activity and overall protection in treatment groups. In conclusion, the FEO (SAV & EAV) seem to be potent in both prevention and treatment of COVID-19 and related lung injury.

Volatile Chemical Profile of Ethanol-based Hand Sanitizer Marketed in Brazil by HS-SPME/GC-MS

Aims: This study aims to determine the volatile chemical profile of ethanol-based hand sanitizer marketed in Brazil by HS-SPME/GC-MS. Background: Ethanol-based hand sanitizer has been used to protect against coronavirus disease (COVID-19). In general, these formulations are prepared using a carbomer. In 2020 and 2021, the production of hand sanitizer has increased due to the COVID-19 epidemic. Therefore, it is important to know the composition of this formulation because certain molecules present in some alcoholic mixtures can cause health problems. Methods: Ethanol-based hand sanitizer, AL1, AL2, BL1, CL1, DL1, EL1, FL1, and GL1 (ethanol derivative of fuel station), was purchased from manufacturers commercialized in Araguaína-TO and analyzed by HS-SPME/GC-MS for determining volatile chemical profile. Results: The analyses showed different compositions for the ethanol-based hand sanitizers. Samples AL1 and AL2 contained isopropyl alcohol, ethyl acetate, benzene, ethane-1,1-diethoxy, limonene, and other compounds. Linear alkanes were also detected. Only ethyl acetate and ethane-1,1-diethoxy were detected in CL1, in addition to ethanol. Thus, it is the most suitable sample among those analyzed. The presence of benzene, alkanes, and other hydrocarbons may be associated with the use of fuel ethanol to prepare these sanitizers, as shown in the sample GL1. Benzene, xylene, and toluene were found in FL1. This sample is the most contaminated among those analyzed. Conclusion: The chemical profile of commercial ethanol-based hand sanitizer from eight different samples sold in Araguaína-Brazil was established by GC-MS. Compounds like benzene and other alkanes were found in some samples. These results suggested possible contamination by alcohols unqualified in producing pharmaceutical substances. These analyzes are particularly relevant due to the pandemic situation to avoid COVID-19 proliferation. Benzene and other alkanes are harmful to human health and should be avoided in hand sanitizer production.

Phytochemical Discrimination, Biological Activity and Molecular Docking of Water-Soluble Inhibitors from Saussurea costus Herb against Main Protease of SARS-CoV-2.

Siddha medicine is one of the oldest medical systems in the world and is believed to have originated more than 10,000 years ago and is prevalent across ancient Tamil land. It is undeniable that inhibitor preferences rise with increasing solubility in water due to the considerations pertaining to the bioavailability and the ease of which unabsorbed residues can be disposed of. In this study, we showed the phytochemical discrimination of Saussurea costus extracted with water at room temperature as a green extraction procedure. A total of 48 compounds were identified using gas chromatography-mass spectrometry (GC-MS). The fatty acids had a high phytochemical abundance at 73.8%, followed by tannins at 8.2%, carbohydrates at 6.9%, terpenoids at 4.3%, carboxylic acids at 2.5%, hydrocarbons at 2.4%, phenolic compounds at 0.2%, and sterols at 1.5%. Of these compounds, 22 were docked on the active side and on the catalytic dyad of His41 and Cys145 of the main protease of SARS-CoV-2 (Mpro). Eight active inhibitors were carbohydrates, five were fatty acids, three were terpenoids, two were carboxylic acids, one was a tannin, one was a phenolic compound, and one was a sterol. The best inhibitors were 4,8,13-Cyclotetradecatriene-1,3-diol, 1,5,9-trimethyl-12-(1-methylethyl), Andrographolide, and delta.4-Androstene-3.beta.,17.beta.-diol, with a binding affinity that ranged from -6.1 kcal/mol to -6.5 kcal/mol. The inhibitory effect of Saussurea costus of SARS-CoV-2 entry into the cell was studied using a pseudovirus with Spike proteins from the D614G variant and the VOC variants Gamma and Delta. Based on the viral cycle of SARS-CoV-2, our results suggest that the Saussurea costus aqueous extract has no virucidal effect and inhibits the virus in the events after cell entry. Furthermore, the biological activity of the aqueous extract was investigated against HSV-1 virus and two bacterial strains, namely Staphylococcus aureus ATCC BAA 1026 and Escherichia coli ATCC 9637. According to this study, an enormous number of water-soluble inhibitors were identified from Saussurea costus against the Mpro, and this is unprecedented as far as we know.