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(-)-Anisomelic acid, isolated from Anisomeles indica (L.) Kuntze (Labiatae) leaves, is a macrocyclic cembranolide with a trans-fused α-methylene-γ-lactone motif. Anisomelic acid effectively inhibits SARS-CoV-2 replication and viral-induced cytopathic effects with an EC50 of 1.1 and 4.3 µM, respectively. Challenge studies of SARS-CoV-2-infected K18-hACE2 mice showed that oral administration of anisomelic acid and subcutaneous dosing of remdesivir can both reduce the viral titers in the lung tissue at the same level. To facilitate drug discovery, we used a semisynthetic approach to shorten the project timelines. The enantioselective semisynthesis of anisomelic acid from the naturally enriched and commercially available starting material (+)-costunolide was achieved in five steps with a 27% overall yield. The developed chemistry provides opportunities for developing anisomelic-acid-based novel ligands for selectively targeting proteins involved in viral infections.
ABSTRACT
Previous studies extensively examined the role of accessibility to metro in shaping house prices but largely overlooked the contribution of accessibility by metro. In addition, limited studies examined the moderating effect of COVID-19 on the price effects of to-metro and by-metro accessibility. Based on multilevel hedonic price and quantile regression models, this study scrutinizes the association between to-metro accessibility, by-metro accessibility, and house prices in Chengdu, China, and examines the moderating role of COVID-19 in this association. We show that by-metro accessibility significantly influences house prices. COVID-19 significantly influences the value of to-metro accessibility but marginally affects that of by-metro accessibility. The value of to-metro accessibility is disproportionately affected by the pandemic. Specifically, small or low-priced houses are less affected than big or high-priced houses. In other words, the flattening of the to-metro price gradient is more discernible for big or high-priced houses. The changing preference of residents has also been verified by the decreases in house transaction volume in metro-adjacent areas.
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Objective: The COVID-19 pandemic has had a significant impact on oncogynecologic patients worldwide, particularly with respect to delayed diagnosis and treatment. During the COVID-19 pandemic, few studies have examined the impact of delayed surgery on survival in early-stage cervical cancer patients. The purpose of this study was to determine the effect of delayed surgical time on survival in patients with early cervical cancer. Design A retrospective cohort study. Setting A single general hospital in Shaanxi, Northwest China. Population A total of 1207women with early cervical cancer were recruited between April 2013 and December 2018 in Mainland China and followed up until 29 Feb 2022. Methods This retrospective cohort study was conducted in a comprehensive tertiary hospital in Shaanxi, Xi’an, China. We used a Cox proportional hazard model with delay time in weeks as a categorical variable to analyse the effect of surgical delay time on survival. Main Outcome Measures The 5-year overall and disease-free survival were used as the primary outcome measures. Results A total of 800 participants were included in the final cohort. In the multivariate Cox regression analysis (median follow-up, 58 months), patients in the long delay time group had DFS (5-year rates, 91.5% versus 90.9%, HR 0.99, 95% CI 0.62~1.59, P=0.98) and OS (5-year rates of 92.9% versus 90.8%, HR 0.68, 95% CI 0.42~1.10, P=0.11) similar to those in the short delay time group. Conclusions Our findings indicate that a 12-week delay in surgery is not associated with long-term survival in women with early-stage cervical cancer.
Subject(s)
Neoplasms , Growth Disorders , COVID-19ABSTRACT
The metro (or underground railways) has become a backbone in the transit systems of many cities. It has numerous externalities, such as ameliorating traffic congestion and enhancing nearby property prices. Previous studies extensively focused on the relationship between metro accessibility and property prices and obtained various interesting findings and enriched practical implications. However, this relationship in the era of the coronavirus disease 2019 (COVID-19) and other epidemic shocks has not been investigated. Based on a unique property transaction dataset (including tens of thousands of transactions stretching from 2018 to 2020) in Chengdu, China, this study develops a battery of hedonic pricing models and difference-in-differences models to decipher the time-varying relationship between metro accessibility and residential property prices. The results show that the implicit price of metro accessibility modestly decreases in COVID-19, which can be explained by the declining role of the metro. Specifically, the price elasticity of distance to the metro is −0.024 before COVID-19, but it turns to −0.018 during the pandemic. The relative price of properties within 500 m from metro stations to those farther away (500 m − 3 km) decreases by 15.4% during the pandemic. Additionally, COVID-19 does not jeopardize property prices in Chengdu. The plausibility and robustness of the core findings have been confirmed through alternative treatment groups, alternative model specifications, and placebo tests.
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In 1984, the Fisheries Research Institute of Hubei Province first introduced channel catfish from the US to China. Since then, the production of China's channel catfish has undergone volatile changes. In 2003, as a substitute for Pangasius fillets from Vietnam, the export volume of channel catfish-processed products increased considerably. In recent years, the Chinese channel catfish industry has shifted from dependence on American and European markets to dominance in Chinese markets. It is expected that the continuing impact of the Covid-19 epidemic in China and the development of the global pandemic will significantly affect the channel catfish farming sector in China. This paper outlines China's channel catfish industry's development, markets, costs, and benefits and provides some suggestions for its development.
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The purpose of this study was to investigate the diagnosis of patients in the early low-incidence area of coronavirus disease 2019 (COVID-19) and the mental health of staff based on genetic algorithm- (GA-) based computed tomography (CT) images. In this study, 136 COVID-19 patients admitted to our hospital were divided into a critical group (94 cases) and a general group (42 cases). In addition, a questionnaire was used to investigate the mental health of COVID-19 patients in early low-incidence areas, including 147 medical staff members and 213 nonmedical staff members. The effects were compared between the optimized GA template matching (OGATM) algorithm proposed in this study and traditional GATM, which were applied in CT images of COVID-19 patients. The results showed that the proposed algorithm could improve the accuracy of pneumonia detection and reduce the false-positive rate. The average age of patients in the severe group was markedly higher than that of the general group (P < 0.05). The number of cases with diabetes mellitus (49.6%) from the severe group was more than that from the general group (12.4%) (P < 0.05). Lymphocyte count in patients from the severe group (0.68 ± 0.26 × 109/L) was sharply lower than that of the general group (1.12 ± 0.34 × 109/L) (P < 0.05). The total T lymphocyte count in patients from the severe group reduced steeply in contrast to that of the general group (P < 0.05). The anxiety and depression scores of medical patients (39.45 ± 9.45 points and 47.58 ± 10.47 points) were obviously lower than the scores of nonmedical patients (43.57 ± 9.54 points and 52.48 ± 10.25 points) (P < 0.05). In conclusion, the elderly and staffs with diabetes mellitus were more likely to develop severe COVID-19. Moreover, the total T lymphocytes of COVID-19 patients were lower than their normal levels, and nonmedical staffs had more psychological stress than medical staffs. [ABSTRACT FROM AUTHOR] Copyright of Scientific Programming is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
ABSTRACT
Background: Since December 2019, COVID-19 has been confirmed in more than18.8 million patients and leads to 0.70 million deaths worldwide. The mortality and disease severity predictors of COVID-19 have been investigated in many studies. However, they are based on early or partial datasets from high epidemic areas. Here, we retrospect benign clinical and epidemiological outcomes-associated factors from a solved epidemic in a low epidemic area. Methods: All 98 laboratory-confirmed COVID-19 patients in a local epidemic (Zhuhai, China) from January 17, 2020 to March 10, 2020 were enrolled. Data were updated until all patients having final outcomes. Results: Patients were all hospitalized. The case fatality rate was 1.0%. There were no local secondary infection cases. The median age was 46.3 years. Underlying diseases were found in 33.7% patients. The severe/critical rate was 19.4%. The mean period from disease onset to admission was 4.4 days. Compared with serious/critical cases, mild/common cases on admission were much younger, lacks of comorbidities and normal in functions of vital organs and indicators of secondary bacterial infections. The lymphocyte counts in serious/critical cases began to be significantly lower 3 days before their identification dates. The absence of lymphopenia before the eighth day from disease onset can exclude the possibility of 78.5% to be serious/critical ill. Most patients (88.8%) received antiviral treatments. Early antiviral treatment significantly shortened the viral RNA-negative conversion time. The delayed antiviral treatment was associated with critical patients.Conclusions: Younger age, lack of aging-related diseases and early hospitalization of all patients to conduct antiviral treatment and prevention of secondary epidemic were the important benign clinical and epidemiological outcomes-associated factors of COVID-19. In combating COVID-19, the active intervention strategies are crucial in low epidemic areas and the continuous monitoring of lymphocytes may be useful to sort patients reasonably in high epidemic areas.
Subject(s)
COVID-19 , Lymphopenia , Bacterial InfectionsABSTRACT
Since December 2019, the corona virus disease 2019 (COVID-19) caused by the 2019 novel coronavirus (2019-nCoV) has been reported in Wuhan, Hubei Province. Almost 70% of patients susceptible to 2019-nCoV are over age of 50 years, with extremely large proportion of critical illness and death of the elderly patients. Meanwhile, the elderly patients are at high risk of osteoporotic fractures especially osteoporotic vertebral compression fractures (OVCF). During the prevention and control of COVID-19 epidemic, orthopedists are confronted with the following difficulties including how to screen and protect OVCF patients, how to accurately diagnose and assess the condition of OVCF patients with suspected or confirmed COVID-19, and how to develop reasonable treatment plans and comprehensive protective measures in emergency and outpatient clinics. In order to standardize the diagnosis and treatment of patients with OVCF diagnosed with COVID-19, the authors jointly develop this expert consensus. The consensus systematically recommends the standardized emergency and outpatient screening and confirmation procedures for OVCF patients with suspected or confirmed COVID-19 and protective measures for emergency and outpatient clinics. Moreover, the consensus describes the grading and classification of OVCF patients diagnosed with COVID-19 according to the severity of illness and recommends different treatment plans and corresponding protective measures based on the different types and epidemic prevention and control requirements.