Restriction on molecular fluxionality by substitution: A case study for the 1,10-dicyanobullvalene.

We show herein that 1,10-dicyano substitution restricts the paragon fluxionality of bullvalene to just 14 isomers which isomerize along a single cycle. The restricted fluxionality of 1,10-dicyanobullvalene (DCB) is investigated by means of: (i) Bonding analyses of the isomer structures using the adaptive natural density partitioning (AdNDP). (ii) Quantum dynamical simulations of the isomerizations along the cyclic intrinsic reaction coordinate of the potential energy surface (PES). The PES possesses 14 equivalent potential wells supporting 14 isomers which are separated by 14 equivalent potential barriers supporting 14 transition states. Accordingly, at low temperatures, DCB appears as a hindered molecular rotor, without any delocalization of the wavefunction in the 14 potential wells, without any nuclear spin isomers, and with completely negligible tunneling. These results are compared and found to differ from those for molecular boron rotors. (iii) Born-Oppenheimer molecular dynamics (BOMD) simulations of thermally activated isomerizations. (iv) Calculations of the rate constants in the frame of transition state theory (TST) with reasonable agreement achieved with the BOMD results. (v) Simulations of the equilibration dynamics using rate equations for the isomerizations with TST rate coefficients. Accordingly, in the long-time limit, isomerizations of the 14 isomers, each with Cs symmetry, approach the "14 Cs → C7v" thermally averaged structure. This is a superposition of the 14 equally populated isomer structures with an overall C7v symmetry. By extrapolation, the results for DCB yield working hypotheses for so far un-explored properties e.g. for the equilibration dynamics of C10H10.

Novel STAT3 oligonucleotide compounds suppress tumor growth and overcome the acquired resistance to sorafenib in hepatocellular carcinoma.

Signal transducer and activator of transcription 3 (STAT3) plays an important role in the occurrence and progression of tumors, leading to resistance and poor prognosis. Activation of STAT3 signaling is frequently detected in hepatocellular carcinoma (HCC), but potent and less toxic STAT3 inhibitors have not been discovered. Here, based on antisense technology, we designed a series of stabilized modified antisense oligonucleotides targeting STAT3 mRNA (STAT3 ASOs). Treatment with STAT3 ASOs decreased the STAT3 mRNA and protein levels in HCC cells. STAT3 ASOs significantly inhibited the proliferation, survival, migration, and invasion of cancer cells by specifically perturbing STAT3 signaling. Treatment with STAT3 ASOs decreased the tumor burden in an HCC xenograft model. Moreover, aberrant STAT3 signaling activation is one of multiple signaling pathways involved in sorafenib resistance in HCC. STAT3 ASOs effectively sensitized resistant HCC cell lines to sorafenib in vitro and improved the inhibitory potency of sorafenib in a resistant HCC xenograft model. The developed STAT3 ASOs enrich the tools capable of targeting STAT3 and modulating STAT3 activity, serve as a promising strategy for treating HCC and other STAT3-addicted tumors, and alleviate the acquired resistance to sorafenib in HCC patients. A series of novel STAT3 antisense oligonucleotide were designed and showed potent anti-cancer efficacy in hepatocellular carcinoma in vitro and in vivo by targeting STAT3 signaling. Moreover, the selected STAT3 ASOs enhance sorafenib sensitivity in resistant cell model and xenograft model.

Causal analysis of body composition measurements in osteoarthritis knee: a two-sample mendelian randomization study.

BACKGROUND: To analyse the causal associations of different physical measures with osteoarthritis knee (KOA). METHODS: Exposure factors (weight, body mass index (BMI), body fat percentage, waist circumference, hip circumference, waist-hip ratio (WHR), and basal metabolic rate (BMR)), and outcome factor KOA were analyzed by inverse-variance weighted (IVW) method, along with heterogeneity test, sensitivity and pleiotropy analyses. Meta-analysis was used to combine the effect values of IVW methods in different data sources. RESULTS: Weight, BMI, body fat percentage, waist circumference, hip circumference and BMR analyses showed causal association with increased KOA risk, while WHR analysis indicated a reduction of the incidence of KOA. P-value for all the results was less than 0.05 and F-value large than 20. All results were negative for heterogeneity tests and sensitivity analyses, and there was pleiotropy in weight and BMR. Meta-analysis results showed that the results of Odds Ratios (95% Confidence Intervals) for Weight (1.43(1.35-1.51)), BMI (1.40(1.10-1.78)), body fat percentage (1.56(1.44-1.68)), waist circumference (1.40(1.10-1.78)), hip circumference (1.37(1.30-1.44)), WHR (0.86(0.71-1.04)) and BMR (1.36(1.27-1.46) were consistent with the ones by Mendelian randomization analyses. CONCLUSIONS: Body fat percentage may be a better indicator of KOA than BMI. In addition, weight and BMR may have a causal effect in KOA, but WHR does not have a causal relationship. BMI, body fat percentage, waist circumference, and hip circumference has a causal effect on KOA.

The burden of low back pain in adolescents and young adults.

BACKGROUND: Low back pain is highly prevalent and the main cause of years lived with disability, but data on the burden and trends of low back pain (LBP) in adolescents and young adults (AYAs) are sparse. OBJECTIVE: To assess trends in the burden of LBP among AYAs aged 15-39 years at the global, regional and national levels from 1990 to 2019. METHODS: Data from the Global Burden of Disease (GBD) 2019 were used to analyze incidence, prevalence and Disability-adjusted life year (DALY) due to LBP at global, regional, and national levels. Joinpoint regression analysis calculated the average annual percentage changes (AAPC). Then analyse the association between incidence, prevalence and DALYs and socioeconomic development using the GBD Socio-demographic Index (SDI). Finally, projections were made until 2030 and calculated in Nordpred. RESULTS: The incidence, prevalence and DALYs rates (95%UI) were 2252.78 (1809.47-2784.79), 5473.43 (4488.62-6528.15) and 627.66 (419.71-866.97) in 2019, respectively. From 1990 to 2019, the incidence, prevalence, and DALYs rates AAPC (95%CI) were -0.49 (-0.56 to -0.42), -0.58 (-0.65 to -0.51) and -0.57 (-0.64 to -0.5), respectively. Incidence, prevalence, and DALYs rates in South Asia, East Asia, High-income North America, Western Europe, and Australasia decreased with SDI. Incidence, prevalence, and DALYs rates in Central Asia, Central Europe, and Eastern Europe decreased and then increased with SDI. At the national level, the incidence, prevalence, and DALYs rates are high in the United States and low in India and China. From the 2020 to 2030, most regions is predicted to decline. CONCLUSION: LBP in AYAs is a major global public problem with a high burden. There are large differences in incidence, prevalence and DALYs across SDIs, regions and countries. there is still a need to focus on LBP in AYAs and tailor interventions to reduce the future burden of this condition.

The association between lipid biomarkers and osteoarthritis based on the National Health and Nutrition Examination Survey and Mendelian randomization study.

To explore the association between lipid markers and osteoarthritis (OA). First, the National Health and Nutrition Examination Survey (NHANES) database was used to screen participants with lipid markers, OA and relevant covariates, and logistic regression was used to analyze the association between lipid markers and OA; Then, under the theoretical framework of Mendelian randomization (MR), two-sample MR was performed using GWAS data of lipid markers and OA to explore the causal association between the two, which was analyzed by inverse variance weighting (IVW) method. Heterogeneity test, sensitivity analysis and pleiotropy analysis were also performed. The NHANES database screened a total of 3706 participants, of whom 836 had OA and 2870 did not have OA. When lipid markers were used as continuous variables, multivariate logistic results showed an association between HDL, LDL and OA (HDL, OR (95%):1.01 (1.00, 1.01); LDL, OR (95%):1.00 (0.99, 1.00)). When lipid markers were used as categorical variables, multivariate logistic results showed the fourth quartile result of 0.713 (0.513, 0.992) for LDL relative to the first quartile. In MR study, the results of the IVW method for TG, TL, HDL and LDL showed OR (95% CI) of 1.06 (0.97-1.16), 0.95 (0.85-1.06), 0.94 (0.86-1.02) and 0.89 (0.80-0.998) with P-values of 0.21, 0.37. 013, 0.046. The heterogeneity tests and multiplicity analyses showed P-values greater than 0.05, and sensitivity analyses showed no abnormal single nucleotide polymorphisms. Through NHANES database and MR analyses, LDL was found to be a protective factor for OA, while HDL still needs further study. Our results provide new biomarkers for preventive and therapeutic strategies for OA.

The association between frailty and osteoarthritis based on the NHANES and Mendelian randomization study.

Introduction: The aim of the study was to examine the association between frailty and osteoarthritis. Methods: We conducted a cross-sectional study in the National Health and Nutrition Examination Survey, while logistic regression was used to explore the association of the two. Mendelian randomization (MR) study was used to explore the causal relationship between the two. Results: In the cross-sectional study, logistic regression analysis showed that odds ratio (OR) (95% CI) value was 1.07 (1.05, 1.08). In the MR study, the inverse-variance weighting (IVW) results showed OR (95% CI) value of 1.69 (1.01-2.83). Conclusions: There is both a correlation and a causal relationship between frailty and osteoarthritis, and frailty may be a potentially better response than age to osteoarthritis.

Gut microbiome causal impacts on the prognosis of breast cancer: a Mendelian randomization study.

BACKGROUND: Growing evidence has shown that gut microbiome composition is associated with breast cancer (BC), but the causality remains unknown. We aimed to investigate the link between BC prognosis and the gut microbiome at various oestrogen receptor (ER) statuses. METHODS: We performed a genome-wide association study (GWAS) to analyse the gut microbiome of BC patients, the dataset for which was collected by the Breast Cancer Association Consortium (BCAC). The analysis was executed mainly via inverse variance weighting (IVW); the Mendelian randomization (MR) results were verified by heterogeneity tests, sensitivity analysis, and pleiotropy analysis. RESULTS: Our findings identified nine causal relationships between the gut microbiome and total BC cases, with ten and nine causal relationships between the gut microbiome and ER-negative (ER-) and ER-positive (ER+) BC, respectively. The family Ruminococcaceae and genus Parabacteroides were most apparent among the three categories. Moreover, the genus Desulfovibrio was expressed in ER- BC and total BC, whereas the genera Sellimonas, Adlercreutzia and Rikenellaceae appeared in the relationship between ER + BC and total BC. CONCLUSION: Our MR inquiry confirmed that the gut microbiota is causally related to BC. This further explains the link between specific bacteria for prognosis of BC at different ER statuses. Considering that potential weak instrument bias impacts the findings and that the results are limited to European females due to data constraints, further validation is crucial.

A comprehensive analysis of systematically screened laboratory tests: based on a COVID-19 cohort.

INTRODUCTION: The study aimed at screening indicators with differential diagnosis values and investigating the characteristics of laboratory tests in COVID-19 patients. METHODOLOGY: All the laboratory tests from COVID-19 patients and non-COVID-19 patients in this cohort were included. Test values from the groups during the course, days 1-7, and days 8-14 were analyzed. Mann-Whitney U test, univariate logistic regression analysis, and multivariate regression analysis were performed. Regression models were established to verify the diagnostic performance of indicators. RESULTS: 302 laboratory tests were included in this cohort, and 115 indicators were analyzed; the values of 61 indicators had significant differences (p < 0.05) between groups, and 23 indicators were independent risk factors of COVID-19. During days 1-7, the values of 40 indicators had significant differences (p < 0.05) between groups, while 20 indicators were independent risk factors of COVID-19. During days 8-14, the values of 45 indicators had significant differences (p < 0.05) between groups, and 23 indicators were independent risk factors of COVID-19. About 10, 12, and 12 indicators showed significant differences (p < 0.05) in multivariate regression analysis in different courses respectively, and the diagnostic performance of the model from them was 74.9%, 80.3%, and 80.8% separately. CONCLUSIONS: The indicators obtained through systematic screening have preferable differential diagnosis values. Compared with non-COVID-19 patients, the screened indicators indicated that COVID-19 patients had more severe inflammatory responses, organ damage, electrolyte and metabolism disturbance, and coagulation disorders. This screening approach could find valuable indicators from a large number of laboratory test indicators.

Multi-resource collaborative scheduling problem of automated terminal considering the AGV charging effect under COVID-19.

Since the COVID-19 ravaged the global terminals, the Automated Container Terminal (ACT) has become one of important approach to promote the stronger quick response capacity to deal with the uncertainty that COVID-19 brought to the terminal. This research takes Automated Guided Vehicle (AGV) and their effects into account the multi-resource collaborative scheduling model to tradeoff ACT operational efficiency and energy savings. Firstly, the dual-cycle strategy of QC and the pooling strategy of AGV are given, which coordinates the scheduling of Quay Cranes (QCs), Yard Cranes (YCs) and other equipment. Furthermore, a multi-resource collaborative scheduling optimization model is proposed which roots from the principle of the Blocking-type Hybrid Flow Shop Problem (B-HFSP) with the objectives of minimizing the makespan of QC and the transportation energy consumption. And simultaneously, a mixed algorithm SA-GA is designed for solving this mixed integer programming model by an optimizing effect of Simulated Annealing on Genetic algorithms. Numerical experiments show that the model in this research is effective. The convergence of SA-GA is effective for small-scale cases and superior for large-scale cases. Considering both goals of high efficiency and energy saving, the Pareto solution set and collaborative scheduling solution take a priority to ensure that the bottlenecked QC runs efficiently. Here and now the average idle rate of QC is about [14%, 35%] lower than that of other equipment. The collaborative scheduling model constructed above not only has reference value for other multi-device and multi-stage scheduling problem, but also enhance the integrated decision-making ability of the ACT in the post-epidemic era.

Referral criteria of the SPOT Vision Screener for children under 6 years old / 国际眼科杂志(Guoji Yanke Zazhi)

AIM: To revise the referral criteria for the SPOT Vision Screener in children under 6 years old and assessed its accuracy based on the American Association for Pediatric Ophthalmology and Strabismus(AAPOS)uniform guidelines for instrument-based pediatric vision screen validation 2021.METHODS: Children who visited the Maternal and Child Health Center of Yuhuatai District in Nanjing city from January 2022 to April 2023 were included in the study and underwent SPOT refractive screening, cycloplegic retinoscopy, and other examinations. Abnormal children were defined according to AAPOS guidelines with amblyopia risk factors(ARFs)and visually significant refractive error(VSRE). Receiver operating characteristic(ROC)curve was used to calculate the optimal referral criteria and compared with manufacturer criteria, Wu's criteria, and Peterseim's criteria.RESULTS: A total of 959 children were examined, with 342 in the &#x003C;4-year-old group and 617 in the ≥4-year-old group. The optimal referral criteria for the &#x003C;4-year-old group were myopia ≤-2.75 D, hyperopia ≥+2.25 D, astigmatism ≤-2.75 D, and anisometropia ≥1.00 D. For the ≥4-year-old group, the criteria were myopia ≤-1.75 D, hyperopia ≥+2.00 D, astigmatism ≤-2.25 D, and anisometropia ≥1.00 D. The Youden index was 0.38 and 0.52, respectively, which were higher than other criteria.CONCLUSION: The use of new referral criteria for refractive screening in children under 6 years old demonstrates higher accuracy compared to previous criteria. It provides valuable guidance for pediatric eye care and vision health in children.

Superatomic icosahedral-CnB12-n (n = 0, 1, 2) Stuffed mononuclear and binuclear borafullerene and borospherene nanoclusters with spherical aromaticity.

Boron and boron-based nanoclusters exhibit unique structural and bonding patterns in chemistry. Extensive density functional theory calculations performed in this work predict the mononuclear walnut-like Ci C50B54 (1) (C2B10@C48B44), C1 C50B54 (2) (CB11@C49B43), and S10 C50B54 (3) (B12@C50B42) which contain one icosahedral-CnB12-n core (n = 0, 1, 2) at the center following the Wade's skeletal electron counting rules and the approximately electron sufficient binuclear peanut-like Cs C88B78 (4) ((C2B10)2@C84B58), Cs C88B78 (5) ((CB11)2@C86B56), Cs C88B78 (6) ((B12)2@C88B54), Cs B180 (7) ((B12)2@B156), Cs B182 (8) ((B12)2@B158), and Cs B184 (9) ((B12)2@B160) which encapsulate two interconnected CnB12-n icosahedrons inside. These novel core-shell borafullerene and borospherene nanoclusters appear to be the most stable species in thermodynamics in the corresponding cluster size ranges reported to date. Detailed bonding analyses indicate that the icosahedral B122-, CB11-, and C2B10 cores in these core-shell structures possess the superatomic electronic configuration of 1S21P61D101F8, rendering spherical aromaticity and extra stability to the systems. Such superatomic icosahedral-CnB12-n stuffed borafullerenes and borospherenes with spherical aromaticity may serve as embryos to form bulk boron allotropes and their carbon-boron binary counterparts in bottom-up approaches.

Genetic characteristics and forensic features of Xibe ethnic group revealed via extended set of Y-STRs.

BACKGROUND: Xibe is the fifth largest minority population of Liaoning province. Predominately they live in Liaoning province (69.52%), followed by Xinjiang (18.06%), Heilongjiang (3.99%), Jilin (1.63%) and Inner Mongolia provinces (1.57%). AIM: To provide an updated and precise population database on an extended set of Y STRs not available before and explore the forensic characteristics of 26 Y chromosomal STRs. SUBJECTS & METHODS: In this study, we genotyped 406 unrelated Xibe male individuals from Liaoning province using Goldeneye® 26Y System kit and calculated the forensic parameters of these 26 Y STRs loci. RESULTS: All haplotypes generated for 406 Xibe samples using Goldeneye® 26Y kit were unique with a discrimination capacity (DC) of 1. On restricting the haplotypes to the Y-filer® set of 17 Y-STRs, we observed 392 haplotypes. Among them 93.53% (380) were unique with a DC of 0.9655 and haplotype diversity (HD) of 0.9998, showing high discrimination power of the extended set of markers in this population. Allelic frequencies ranged from 0.0024 to 0.7684 across 26 Y STRs loci. DYS385 showed the highest gene diversity (0.9691) among all markers. CONCLUSION: According to pairwise RST genetic distances among Xibe populations from China, the Liaoning Xibe population showed the closest genetic distance (0.0035) followed by Xinjiang Xibe population (0.0218). Multidimensional scaling (MDS) analysis among Xibe and 29 other Chinese populations showed that local populations such as Manchu from Liaoning and Han from Beijing had a close affinity while Tibetans from Aba, China, were most distant from Xibe populations. Moreover, 12 individuals showed a null allele at DYS448 in Xibe population samples. We submitted Y-STRs data in the Y-Chromosome Haplotype Reference Database (YHRD) for future forensic and other usage.

Living near greenness is associated with higher bone strength: A large cross-sectional epidemiological study in China.

BACKGROUND: Living near green spaces may benefit various health outcomes. However, no studies have investigated the greenness-bone linkage in the general population. Moreover, to which extent ambient air pollution (AAP), physical activity (PA), and body mass index (BMI) mediate this relationship remains unclear. We aimed to explore the association between greenness and bone strength and the potential mediating roles of AAP, PA, and BMI in Chinese adults. METHODS: This cross-sectional analysis enrolled 66,053 adults from the China Multi-Ethnic Cohort in 2018-2019. The normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) were employed to define residential greenness. The calcaneus quantitative ultrasound index (QUI) was used to indicate bone strength. Multiple linear regression models and mediation analyses were used to estimate the residential greenness-bone strength association and potential pathways operating through AAP (represented by PM2.5 [particulate matter <2.5 µm in diameter]), PA, and BMI. Stratification analyses were performed to identify susceptible populations. RESULTS: Higher residential exposure to greenness was significantly associated with an increase in QUI, with changes (95% confidence interval) of 3.28 (3.05, 3.50), 3.57 (3.34, 3.80), 2.68 (2.46, 2.90), and 2.93 (2.71, 3.15) for every interquartile range increase in NDVI500m, NDVI1000m, EVI500m, and EVI1000m, respectively. Sex, urbanicity, annual family income, smoking, and drinking significantly modified the association of greenness-bone strength, with more remarkable associations in males, urban residents, subjects from wealthier families, smokers, and drinkers. For the NDVI500m/EVI500m-QUI relationship, the positive mediating roles of PM2.5 and PA were 6.70%/8.50 and 2.43%/2.69%, respectively, whereas those negative for BMI and PA-BMI were 0.88%/1.06% and 0.05%/0.05%, respectively. CONCLUSION: Living in a greener area may predict higher bone strength, particularly among males, urban residents, wealthier people, smokers, and drinkers. AAP, PA, BMI, and other factors may partially mediate the positive association. Our findings underscore the importance of optimizing greenness planning and management policies.

Stochastic averaging for a type of fractional differential equations with multiplicative fractional Brownian motion.

This paper focuses on the averaging principle of Caputo fractional stochastic differential equations (SDEs) with multiplicative fractional Brownian motion (fBm), where Hurst parameter 1/2

The biological activity of prodigiosin on adriamycin-resistant breast cancer cells in vitro / 中国药理学通报

Aim To investigate the effect of prodigiosin on the proliferation, migration, cell cycle and apopto- sis of adriamycin-resistant breast cancer cell line MCF- 7/ADR.Methods CCK-8, colony formation assay, scratch test and Transwell were used to detect the pro¬liferation and migration of MCF-7/ADR after treatment with different concentrations of prodigiosin.How cy¬tometry and DAP1 staining were used to detect the cell cycle and apoptosis of MCF-7/ADR cell line after treatment with different concentrations of prodigiosin.Western blot was used to detect the effect of prodigiosin on the expression of caspase-3, Bax and Bcl-2 in MCF- 7/ADR cells.Results Prodigiosin inhibited the pro¬liferation and migration of MCF-7/ADR cell line in a concentration- and time-dependent manner ( P <0.05 ).In addition, prodigiosin enhanced the in¬hibitor}' effect of adriamycin on MCF-7/ADR cell line.Prodigiosin arrested MCF-7/ADR cell line cycle in the S phase and induced cell apoptosis in a time- and dose- dependent manner.The percentage of S phase cells treated with 2 mg • L 1 prodigiosin for 48 hours in¬creased to 35.3% , and the apoptotic rate was as high as 64.83% , which were statistically significant com¬pared with the control group ( P < 0.05 ).Prodigiosin could up-regulate the expression of apoptosis protein caspase-3 and Bax and inhibit the expression of Bcl-2 protein in MCF-7/ADK cell.Conclusions Prodigio¬sin can effectively inhibit the proliferation, migration and promote cell apoptosis and regulate cell cycle in adriamvcin-resistant breast cancer cell line MCF-7/ ADR.Prodigiosin can enhance the sensitivity of MCF- 7/ADR cell line to adriamycin.

Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer.

BACKGROUND: Colorectal cancer (CRC) is one of the most common malignant gastrointestinal cancers in the world with a 5-year survival rate of approximately 68%. Although researchers accumulated many scientific studies, its pathogenesis remains unclear yet. Detecting and removing these malignant polyps promptly is the most effective method in CRC prevention. Therefore, the analysis and disposal of malignant polyps is conducive to preventing CRC. METHODS: In the study, metabolic profiling as well as diagnostic biomarkers for CRC was investigated using untargeted GC-MS-based metabolomics methods to explore the intervention approaches. In order to better characterize the variations of tissue and serum metabolic profiles, orthogonal partial least-square discriminant analysis was carried out to further identify significant features. The key differences in tR-m/z pairs were screened by the S-plot and VIP value from OPLS-DA. Identified potential biomarkers were leading in the KEGG in finding interactions, which show the relationships among these signal pathways. RESULTS: Finally, 17 tissue and 13 serum candidate ions were selected based on their corresponding retention time, p-value, m/z, and VIP value. Simultaneously, the most influential pathways contributing to CRC were inositol phosphate metabolism, primary bile acid biosynthesis, phosphatidylinositol signaling system, and linoleic acid metabolism. CONCLUSIONS: The preliminary results suggest that the GC-MS-based method coupled with the pattern recognition method and understanding these cancer-specific alterations could make it possible to detect CRC early and aid in the development of additional treatments for the disease, leading to improvements in CRC patients' quality of life.

A quantitative exploration of symptoms in COVID-19 patients: an observational cohort study.

Background: As the spreading of the COVID-19 around the global, we investigated the characteristics and changes of symptoms in COVID-19 patients. Methods: This was an ambispective observational cohort study, and 133 confirmed COVID-19 patients were included and all symptoms over the course were analyzed qualitatively. The symptoms, their changes over the course in the cohort and in the different clinical types, etc. were illustrated. Differences in different periods and severities were analyzed through Chi square test, association with severity was analyzed through LASSO binomial logistic regression analysis. Inter-correlation and classification of symptoms were completed. Major symptoms were screened and their changes were illustrated. Results: A total of 43 symptoms with frequencies as 6067 in this cohort. Differences of symptoms in different stages and clinical types were significant. Expectoration, shortness of breath, dyspnea, diarrhea, poor appetite were positively but vomiting, waist discomfort, pharyngeal discomfort, acid reflux were negatively correlated with the combined-severe and critical type; dyspnea was correlated with the critical type. The 17 major symptoms were identified. The average daily frequency of symptoms per case was decreased continuously before the transition into the severe type and increased immediately one day before the transition and then decreased. It was decreased continuously before the transition date of the critical type and increased from the transition into the critical type to the next day and decreased thereafter. Dyspnea (P<0.001), shortness of breath (P<0.01) and chest distress (P<0.05) were correlated with death and their corresponding coefficient was 0.393, 0.258, 0.214, respectively. Conclusion: The symptoms of COVID-19 patients mainly related to upper respiratory tract infection, cardiopulmonary function, and digestive system. The mild type and the early stage in other types mainly related to upper respiratory tract infection. The cardiopulmonary function and digestive system associated symptoms were found in all other types and stages. Dyspnea was correlated with critical type, and dyspnea, shortness of breath and chest distress were correlated with death. Respiratory dysfunction (or incompleteness) associated symptoms were the characteristic symptoms. The changes of symptoms did not synchronously with the changes of severity before the transition into the severe or critical type.

Features of α-HBDH in COVID-19 patients: A cohort study.

BACKGROUND: Coronavirus disease-2019 (COVID-19) has spread all over the world and brought extremely huge losses. At present, there is a lack of study to systematically analyze the features of hydroxybutyrate dehydrogenase (α-HBDH) in COVID-19 patients. METHODS: Electronic medical records including demographics, clinical manifestation, α-HBDH results and outcomes of all included patients were extracted. RESULTS: α-HBDH in COVID-19 group was higher than that in excluded group (p < 0.001), and there was no significant difference in α-HBDH before and after the exclusion of 5 patients with comorbidity in heart or kidney (p = 0.671). In COVID-19 group, the α-HBDH value in ≥61 years old group, severe group, and critical group, death group all increased at first and then decreased, while no obvious changes were observed in other groups. And there were significant differences of the α-HBDH value among different age groups (p < 0.001), clinical type groups (p < 0.001), and outcome groups (p < 0.001). The optimal scale regression model showed that α-HBDH value (p < 0.001) and age (p < 0.001) were related to clinical type. CONCLUSIONS: α-HBDH was increased in COVID-19 patients, obviously in ≥61 years old, death and critical group, indicating that patients in these three groups suffer from more serious heart and kidney and other tissues and organs damage, higher α-HBDH value, and risk of death. The difference between death and survival group in early stage might provide a approach to judge the prognosis. The accuracy of the model to distinguish severe/critical type and other types was 85.84%, suggesting that α-HBDH could judge the clinical type accurately.

Quantifiable Polymeric Fluorescent Ratiometric γ-ray Chemosensor.

Detection of γ-rays is of vital significance in various areas such as high-energy physics, nuclear medicine, national security, and space exploration. However, many current spectrometry methods are based on ionization effects, which are limited to electron counting and related techniques such as ionization-induced luminescence. Herein, we report an alternative, quantifiable γ-ray chemosensor based on a secondary effect from this ionizing radiation, that is, it was discovered that poly(methyl methacrylate) (PMMA) and polyvinyl chloride (PVC) are more sensitive to a γ-ray-induced acid generation process by surveying a series of commercially available polymers. Accordingly, a pH-sensitive fluorescent quinoline derivative is designed and embedded in PMMA or PVC films, which exhibits dramatic emission shift from blue (λem = 460-480 nm) to red (λem = 570-620 nm) upon exposure to γ-irradiation. A linear response of ratiometric fluorescence intensity (Ired/Iblue) to γ-ray dosage in a wide range (80-4060 Gy) was established, which can be used as a practical visual dosimeter complementary to current techniques.