Internal treatment in traditional Chinese medicine for patients with COVID-19: A protocol for systematic review and meta-analysis

Compounds identification and mechanism prediction of YuXueBi capsule in the treatment of arthritis by integrating UPLC/IM-QTOF-MS and network pharmacology

Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease that seriously affects the life quality of patients. As a patent medicine of Chinese traditional medicine, YuXueBi capsule (YXBC) is widely used for treating RA with significant effects. However, its active compounds and therapeutic mechanisms are not fully illuminated, encumbering the satisfactory clinical application. In this study, we developed a method for identifying the chemical compounds of YXBC and the absorbed compounds into blood of rats using ultra performance liquid chromatography/ion mobility-quadrupole time-of-flight mass spectrometry (UPLC/IM-QTOF-MS) combined with UNIFI analysis software. A total of 58 compounds in YXBC were unambiguously or tentatively identified, 16 compounds from which were found in serum of rats after administration of YXBC. By network pharmacology, these prototype compounds identified in serum were predicted to regulate 30 main pathways (including HIF-1 signaling pathway, neuroactive ligand-receptor interaction, IL-17 signaling pathway, and so on) through 146 targets, resulting in promoting blood circulation and removing blood stasis, analgesia, and anti-inflammatory activities. This study provides a scientific basis for the clinical efficacy of YXBC in the treatment of RA.

The Influence of COVID-19 in Endocrine Research: Critical Overview, Methodological Implications and a Guideline for Future Designs

The COVID-19 pandemic has changed many aspects of people's lives, including not only individual social behavior, healthcare procedures, and altered physiological and pathophysiological responses. As a result, some medical studies may be influenced by one or more hidden factors brought about by the COVID-19 pandemic. Using the literature review method, we are briefly discussing the studies that are confounded by COVID-19 and facemask-induced partiality and how these factors can be further complicated with other confounding variables. Facemask wearing has been reported to produce partiality in studies of ophthalmology (particularly dry eye and related ocular diseases), sleep studies, cognitive studies (such as emotion-recognition accuracy research, etc.), and gender-influenced studies, to mention a few. There is a possibility that some other COVID-19 related influences remain unrecognized in medical research. To account for heterogeneity, current and future studies need to consider the severity of the initial illness (such as diabetes, other endocrine disorders), and COVID-19 infection, the timing of analysis, or the presence of a control group. Face mask-induced influences may confound the results of diabetes studies in many ways.

The risk factor for instability metabolic health and severity

Coronavirus disease -19 (COVID-19) pandemic has extended from late 2019 and continues to this day. The degree of the disease is related to some factors, including age and comorbidities. Obesity is now more widely considered as a main factor of infection, mainly because it has been shown that individuals who are obese have a more severe course of infection with COVID-19.

This review study summarized the relationship between the risk of obesity and COVID-19 and detected a difference in reporting from the period of the first pandemic in China to more recent studies. Obesity is a risk factor for developing signs and symptoms of patients with COVID-19 and this review will benefit clinicians by recognizing the role of obesity when giving COVID-19 diagnosis, follow-up, and treatment programs.

Comprehensive profiling and characterization of the absorbed components and metabolites in mice serum and tissues following oral administration of Qing-Fei-Pai-Du decoction by UHPLC-Q-Exactive-Orbitrap HRMS

Qing-Fei-Pai-Du decoction (QFPDD) is a Chinese medicine compound formula recommended for combating corona virus disease 2019 (COVID-19) by National Health Commission of the People's Republic of China. The latest clinical study showed that early treatment with QFPDD was associated with favorable outcomes for patient recovery, viral shedding, hospital stay, and course of the disease. However, the effective constituents of QFPDD remain unclear. In this study, an UHPLC-Q-Orbitrap HRMS based method was developed to identify the chemical constituents in QFPDD and the absorbed prototypes as well as the metabolites in mice serum and tissues following oral administration of QFPDD. A total of 405 chemicals, including 40 kinds of alkaloids, 162 kinds of flavonoids, 44 kinds of organic acids, 71 kinds of triterpene saponins and 88 kinds of other compounds in the water extract of QFPDD were tentatively identified via comparison with the retention times and MS/MS spectra of the standards or refereed by literature. With the help of the standards and in vitro metabolites, 195 chemical components (including 104 prototypes and 91 metabolites) were identified in mice serum after oral administration of QFPDD. In addition, 165, 177, 112, 120, 44, 53 constituents were identified in the lung, liver, heart, kidney, brain, and spleen of QFPDD-treated mice, respectively. These findings provided key information and guidance for further investigation on the pharmacologically active substances and clinical applications of QFPDD.

Gastroenterological and hepatic manifestations of patients with COVID-19, prevalence, mortality by country, and intensive care admission rate: systematic review and meta-analysis

BACKGROUND AND AIMS

Patients infected with the SARS-CoV-2 usually report fever and respiratory symptoms. However, multiple gastrointestinal (GI) manifestations such as diarrhoea and abdominal pain have been described. The aim of this study was to evaluate the prevalence of GI symptoms, elevated liver enzymes and mortality of patients with COVID-19.

METHODS

A systematic review and meta-analysis of published studies that included a cohort of patients infected with SARS-CoV-2 were performed from 1 December 2019 to 15 December 2020. Data were collected by conducting a literature search using PubMed, Embase, Scopus, and Cochrane according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We analysed pooled data on the prevalence of individual GI symptoms and elevated liver enzymes and performed subanalyses to investigate the relationship between GI symptoms/elevated liver enzymes, geographical location, mortality, and intensive care unit (ICU) admission.

RESULTS

The available data of 78 798 patients positive for SARS-CoV-2 from 158 studies were included in our analysis. The most frequent manifestations were diarrhoea (16.5%, 95% CI 14.2% to 18.4%), nausea (9.7%, 95% CI 9.0% to 13.2%) and elevated liver enzymes (5.6%, 95% CI 4.2% to 9.1%). The overall mortality and GI mortality were 23.5% (95% CI 21.2% to 26.1%) and 3.5% (95% CI 3.1% to 6.2%), respectively. Subgroup analysis showed non-statistically significant associations between GI symptoms/elevated liver enzymes and ICU admissions (OR=1.01, 95% CI 0.55 to 1.83). The GI mortality was 0.9% (95% CI 0.5% to 2.2%) in China and 10.8% (95% CI 7.8% to 11.3%) in the USA.

CONCLUSION

GI symptoms/elevated liver enzymes are common in patients with COVID-19. Our subanalyses showed that the presence of GI symptoms/elevated liver enzymes does not appear to affect mortality or ICU admission rate. Furthermore, the proportion of GI mortality among patients infected with SARS-CoV-2 varied based on geographical location.

Minor immunosuppressive spiroorthoester group-containing pregnane glycosides from the root barks of Periploca sepium

LC-MS guided chemical investigation of the periploside-rich extract of the root barks of Periploca sepium afforded six new minor pregnane glycosides, named periplosides A1-A6 (1-6). Their structures were characterized on the basis of extensive spectroscopic analysis. Compounds 1-6 were evaluated for their inhibitory activities against the proliferation of T and B lymphocytes in vitro, among them, compound 5 exhibited significant inhibitory activities and the most favorite selective index (SI) values against the proliferation of T lymphocyte (IC₅₀ = 0.30 μM, SI = 176) and B lymphocyte (IC₅₀ = 0.55 μM, SI = 97).

The curative effect of Reduning injection combined with Xuanfeibaidu formula on COVID-19: A protocol for systematic review and meta-analysis

BACKGROUND

Since December 2019, COVID-19, caused by the new coronavirus (SARS-CoV-2), posed a serious threat to human health. On March 11, 2020, the World Health Organization announced that COVID-2019 has become a global pandemic. In China, Reduning injection (REDI) and Xuanfeibaidu formula (XFF) is widely used in treating COVID-19. However, there is no evidence-based medical evaluation that XFF combine with REDI is effective for COVID-19.

METHODS

The following databases will be searched: China National Knowledge Infrastructure (CNKI), Wanfang database, Chinese Science and Technology Periodical Database, Medline/PubMed, and Cochrane from October 1, 2019 to September 1, 2020. The suitable articles will be comprehensively and systematically searched without limitations of regions or language about REDI with XFF for COVID-19. The meta-analysis was performed by RevMan 5.3 and STATA 14.2 software.

RESULTS

This meta-analysis may help provide clarify on the effect of REDI combined with XFF to treat COVID-19. The result will be published at a peer-reviewed journal.

CONCLUSIONS

This systematic review aims to provide new evidence of XFF combined with REDI for the treatment of COVID-19 in terms of its efficacy and safety.

INPLASY REGISTRATION NUMBER

INPLASY202090039.