Background Front-line power grid workers are required to face a variety of occupational hazards (such as aerial work), which make them susceptible to psychological problems and further reduce their performance efficiency and safety level. Objective To investigate the mental health status of front-line power grid workers and explore the influence of personality traits on mental health and the potential mediating role of work-family support between them. Methods This study was designed as a cross-sectional study. From January to June 2019, a cluster random sampling method was used to select two of the 20 power supply stations owned by a Guangdong power company. A total of 485 front-line power grid workers were included in the study. Sociodemographic characteristics were investigated, and NEO Five-Factor Inventory, Work-Family Support Scale, and Symptom Checklist 90 (SCL-90) were used in the survey. Spearman correlation analysis was conducted to analyze the correlations between measured variables. Structural equation modeling was used to analyze the relationships of personality traits, work-family support, and mental health, and Bootstrap analysis was used to test the mediating effect of work-family support on the relationship of personality traits and mental health. Results The M (P₂₅, P₇₅) of total SCL-90 score was 134.00 (110.00, 167.00）, and 139 (28.66%) front-line power grid workers showed positive mental health symptoms. The correlation analysis indicated that among the front-line power grid workers, neuroticism score was negatively correlated with work-family support total score (r_s=−0.356, P<0.001), and positively correlated with the total score of SCL-90 (r_s=0.557, P<0.001) as well as all the scores of its sub-dimensions (r_s=0.436-0.550, P<0.001). Openness score was positively correlated with work-family support total score (r_s=0.269, P<0.001), and except for paranoid ideation (P>0.05), openness score was negatively correlated with the scores of all the other sub-dimensions of SCL-90 (r_s=−0.091-−0.147, P<0.05). The scores of the other three personality traits (extroversion, agreeableness, and conscientiousness) were positively correlated with work-family support total score (r_s=0.331-0.466, P<0.001), and negatively correlated with the total score of SCL-90 as well as the scores of all its sub-dimensions (P<0.001). The modified structural equation modeling indicated that the direct effect of work-family support on mental health symptoms was −0.225 (P<0.001). The direct effects of extraversion and openness on work-family support were 0.241 (P<0.001) and 0.123 (P<0.05), respectively, while the effect on mental health symptoms was not statistically significant. The direct effects of neuroticism on work-family support and mental health symptoms were -0.152 (P<0.01) and 0.467 (P<0.001), respectively. The direct effects of conscientiousness on work-family support and mental health symptoms were not statistically significant (P>0.05). The direct effect of agreeableness on work-family support was not statistically significant (P>0.05), while the direct effect on mental health symptoms was −0.180 (P<0.001). Conclusion The front-line power grid workers show a high score of SCL-90. Workers with higher neuroticism are more vulnerable to mental health symptoms. Work-family support fully mediates the effects of extraversion and openness on mental health symptoms, and partially mediates the effects of neuroticism on mental health symptoms, while does not mediate the effects of agreeableness on mental health symptoms. Sufficient work-family support may improve mental health status.

The global COVID-19 coronavirus pandemic has infected over 109 million people, leading to over 2 million deaths up to date and still lacking of effective drugs for patient treatment. Here, we screened about 1.8 million small molecules against the main protease (M^pro) and papain like protease (PL^pro), two major proteases in severe acute respiratory syndrome-coronavirus 2 genome, and identified 1851M^pro inhibitors and 205 PL^pro inhibitors with low nmol/l activity of the best hits. Among these inhibitors, eight small molecules showed dual inhibition effects on both M^pro and PL^pro, exhibiting potential as better candidates for COVID-19 treatment. The best inhibitors of each protease were tested in antiviral assay, with over 40% of M^pro inhibitors and over 20% of PL^pro inhibitors showing high potency in viral inhibition with low cytotoxicity. The X-ray crystal structure of SARS-CoV-2 M^pro in complex with its potent inhibitor 4a was determined at 1.8 Å resolution. Together with docking assays, our results provide a comprehensive resource for future research on anti-SARS-CoV-2 drug development.
Humans ; Antiviral Agents/chemistry* ; COVID-19 ; COVID-19 Drug Treatment ; High-Throughput Screening Assays ; Molecular Docking Simulation ; Protease Inhibitors/chemistry* ; SARS-CoV-2/enzymology* ; Viral Nonstructural Proteins

Analysis of Variance ; Humans

Glycolytic metabolism enzymes have been implicated in the immunometabolism field through changes in metabolic status. PGK1 is a catalytic enzyme in the glycolytic pathway. Here, we set up a high-throughput screen platform to identify PGK1 inhibitors. DC-PGKI is an ATP-competitive inhibitor of PGK1 with an affinity of K _d = 99.08 nmol/L. DC-PGKI stabilizes PGK1 in vitro and in vivo, and suppresses both glycolytic activity and the kinase function of PGK1. In addition, DC-PGKI unveils that PGK1 regulates production of IL-1β and IL-6 in LPS-stimulated macrophages. Mechanistically, inhibition of PGK1 with DC-PGKI results in NRF2 (nuclear factor-erythroid factor 2-related factor 2, NFE2L2) accumulation, then NRF2 translocates to the nucleus and binds to the proximity region of Il-1β and Il-6 genes, and inhibits LPS-induced expression of these genes. DC-PGKI ameliorates colitis in the dextran sulfate sodium (DSS)-induced colitis mouse model. These data support PGK1 as a regulator of macrophages and suggest potential utility of PGK1 inhibitors in the treatment of inflammatory bowel disease.

A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential on-target or off-target effects. Recently, the fast accumulation of gene transcriptional profiling data provides us an unprecedented opportunity to explore the protein targets of chemical compounds from the perspective of cell transcriptomics and RNA biology. Here, we propose a novel Siamese spectral-based graph convolutional network (SSGCN) model for inferring the protein targets of chemical compounds from gene transcriptional profiles. Although the gene signature of a compound perturbation only provides indirect clues of the interacting targets, and the biological networks under different experiment conditions further complicate the situation, the SSGCN model was successfully trained to learn from known compound-target pairs by uncovering the hidden correlations between compound perturbation profiles and gene knockdown profiles. On a benchmark set and a large time-split validation dataset, the model achieved higher target inference accuracy as compared to previous methods such as Connectivity Map. Further experimental validations of prediction results highlight the practical usefulness of SSGCN in either inferring the interacting targets of compound, or reversely, in finding novel inhibitors of a given target of interest.
Drug Delivery Systems ; Proteins ; Transcriptome

Fibroblast growth factor receptors (FGFRs) have emerged as promising targets for anticancer therapy. In this study, we synthesized and evaluated the biological activity of 66 pyrazolo[3,4-

We conducted a randomized, open-label, parallel-controlled, multicenter trial on the use of Shuanghuanglian (SHL), a traditional Chinese patent medicine, in treating cases of COVID-19. A total of 176 patients received SHL by three doses (56 in low dose, 61 in middle dose, and 59 in high dose) in addition to standard care. The control group was composed of 59 patients who received standard therapy alone. Treatment with SHL was not associated with a difference from standard care in the time to disease recovery. Patients with 14-day SHL treatment had significantly higher rate in negative conversion of SARS-CoV-2 in nucleic acid swab tests than the patients from the control group (93.4% vs. 73.9%, P = 0.006). Analysis of chest computed tomography images showed that treatment with high-dose SHL significantly promoted absorption of inflammatory focus of pneumonia, which was evaluated by density reduction of inflammatory focus from baseline, at day 7 (mean difference (95% CI), -46.39 (-86.83 to -5.94) HU; P = 0.025) and day 14 (mean difference (95% CI), -74.21 (-133.35 to -15.08) HU; P = 0.014). No serious adverse events occurred in the SHL groups. This study illustrated that SHL in combination with standard care was safe and partially effective for the treatment of COVID-19.
COVID-19 ; Humans ; Medicine, Chinese Traditional ; Research ; SARS-CoV-2 ; Treatment Outcome

The TEA domain (TEAD) family proteins (TEAD1‒4) are essential transcription factors that control cell differentiation and organ size in the Hippo pathway. Although the sequences and structures of TEAD family proteins are highly conserved, each TEAD isoform has unique physiological and pathological functions. Therefore, the development and discovery of subtype selective inhibitors for TEAD protein will provide important chemical probes for the TEAD-related function studies in development and diseases. Here, we identified a novel TEAD1/3 covalent inhibitor (DC-TEADin1072) with biochemical IC

A total of 280 patients with varicose veins of lower extremities who were prescribed stretch socks as pressure therapy in the outpatient clinic of Beijing Chaoyang Hospital from September 2019 to November 2019 were included in the study. Among 280 patients 208 were followed up for one year(74.3%), 139 cases (66.8%) gave up wearing stretch socks and 69 cases (33.2%) insisted to wear. The main reasons for giving up wearing were feeling too tight (23.1%), too much troubles (17.7%), symptom improvement (15.1%), poor effect (10.8%) and so on. The compliance of wearing stretch socks as pressure therapy in outpatients with varicose veins of lower extremities is poor with a variety of reasons, the data may provide a reference for improving clinical compliance in the future.

Objective:To investigate the effect of hourly ambient temperature exposure on emergency calls in Xuchang city and Zhengzhou city.Methods:The hourly meteorological data, air pollution data and emergency calls of Xuchang city and Zhengzhou city were collected from January 1, 2017 to October 31, 2019. A distributed lag non-linear model was used to calculate the excess relative risk ( ERR). The lag effect and cumulative effect of extreme temperature exposure on emergency calls were evaluated. Results:The relationship between hourly temperature exposure and emergency calls was a U-shaped curve. In Xuchang city and Zhengzhou city, both low and high temperatures would increase the number of hourly emergency calls. The earliest effect of low temperature occurred at a lag of 22 h and 52 h, with ERR values (95% CI) about 0.20% (0.00%, 0.39%) and 0.11% (0.00%, 0.22%), respectively. The earliest effect of high temperature occurred at a lag of 0 h with ERR values about 1.59% (1.09%, 2.09%) and 1.45% (1.22%, 1.69%), respectively. High temperature had the greatest impact on the number of emergency calls of cardiovascular disease at a lag of 4-8 h. The cumulative ERR values (95% CI) of the two cities were 8.70% (4.98%, 12.75%) and 3.89% (2.61%, 5.22%), respectively. Conclusion:High temperature exposure could increase the number of emergency calls within a few hours, while the effect of low temperature would not occur until 22 hours later.