Serum caspase­1 levels serve as a predictive biomarker for the prognosis of patients undergoing arthroscopic­assisted locking plate internal fixation in the treatment of high­energy pilon fractures.

The present study aimed to investigate the serum levels of caspase-1 in patients with high-energy pilon fractures, and its correlation with prognosis and clinical results. In this prospective study, 136 patients with high-energy pilon fractures who were treated with a locking plate combined with ankle arthroscopy from July 2015 to July 2020 were included. The treatment efficacy was evaluated according to the Mazur ankle function score. Serum caspase-1, interleukin (IL)-6, IL-1ß and C-reactive protein (CRP) levels were measured using enzyme-linked immunosorbent assay. Reverse transcription-quantitative PCR was used to measure the mRNA expression of caspase-1. Additionally, demographic data and clinical characteristics, such as sex, age, intraoperative blood loss, fracture healing time, fracture classification and complications were collected and analyzed. The study revealed that the intraoperative blood loss, proportion of Ruedi-Allgower III and the serum levels of caspase-1 in the poor prognosis group were significantly higher compared with those in the good prognosis group. Additionally, patients with high-energy pilon fractures in the poor prognosis group exhibited significantly higher levels of caspase-1 and IL-1ß serum levels at all time points in contrast to those in the good prognosis group. Spearman's analysis revealed a significant association between caspase-1, IL-1ß levels and Mazur scores. Furthermore, caspase-1 could serve as a potential diagnostic biomarker for poor prognosis of patients with high-energy pilon fractures. Caspase-1, IL-1ß, intraoperative blood loss and Ruedi-Allgower grade were the risk factors for poor prognosis in patients with high-energy pilon fractures. In summary, this study demonstrated that serum caspase-1 levels were progressively reduced during the treatment of high-energy pilon fractures patients and prominently lowered in those with a favorable prognosis. These findings could provide novel targets and a comprehensive approach to protecting patients with high-energy pilon fractures.

Measurement of the [Formula: see text]Ta([Formula: see text]) cross sections up to stellar s-process temperatures at the CSNS Back-n.

The neutron capture cross section of [Formula: see text]Ta is relevant to s-process of nuclear astrophysics, extraterrestrial samples analysis in planetary geology and new generation nuclear energy system design. The [Formula: see text]Ta([Formula: see text]) cross section had been measured between 1 eV and 800 keV at the back-streaming white neutron facility (Back-n) of China spallation neutron source(CSNS) using the time-of-flight (TOF) technique and [Formula: see text] liquid scintillator detectors. The experimental results are compared with the data of several evaluated libraries and previous experiments in the resolved and unresolved resonance region. Resonance parameters are extracted using the R-Matrix code SAMMY in the 1-700 eV region. The astrophysical Maxwell average cross section(MACS) from kT = 5 to 100 keV is calculated over a sufficiently wide range of neutron energies. For the characteristic thermal energy of an astrophysical site, at kT = 30keV the MACS value of [Formula: see text]Ta is 834 ± 75 mb, which shows an obvious discrepancy with the Karlsruhe Astrophysical Database of Nucleosynthesis in Stars (KADoNiS) recommended value 766 ± 15 mb. The new measurements strongly constrain the MACS of [Formula: see text]Ta([Formula: see text]) reaction in the stellar s-process temperatures.

Application of a time-delay SIR model with vaccination in COVID-19 prediction and its optimal control strategy.

In the classical infectious disease compartment model, the parameters are fixed. In reality, the probability of virus transmission in the process of disease transmission depends on the concentration of virus in the environment, and the concentration depends on the proportion of patients in the environment. Therefore, the probability of virus transmission changes with time. Then how to fit the parameters and get the trend of the parameters changing with time is the key to predict the disease course with the model. In this paper, based on the US COVID-19 epidemic statistics during calibration period, the parameters such as infection rate and recovery rate are fitted by using the linear regression algorithm of machine science, and the laws of these parameters changing with time are obtained. Then a SIR model with time delay and vaccination is proposed, and the optimal control strategy of epidemic situation is analyzed by using the optimal control theory and Pontryagin maximum principle, which proves the effectiveness of the control strategy in restraining the transmission of COVID-19. The numerical simulation results show that the time-varying law of the number of active cases obtained by our model basically conforms to the real changing law of the US COVID-19 epidemic statistics during calibration period. In addition, we have predicted the changes in the number of active cases in the COVID-19 epidemic in the USA over time in the future beyond the calibration cycle, and the predicted results are more in line with the actual epidemic data.

Investigation and analysis of the current usage status of OTC drug among Inner Mongolian residents / 中国药房

OBJECTIVE To investigate the current usage status of OTC drug among residents in Inner Mongolia Autonomous Region， and to provide evidence for the science popularization of rational drug use. METHODS By approximate random sampling， the questionnaire survey was conducted with the mini-apps Questionnaire Star among the residents aged 19 and above from 7 league or cities of Inner Mongolia Autonomous Region， in order to investigate the current situation of OTC drug use in the region. RESULTS A total of 611 people filled in the questionnaire， and 571 people filled in the questionnaire effectively， with an effective filling rate of 93.45%. According to the results， 18.7% of residents said they did not understand the concept of OTC drugs， 36.1% of residents said they did not know the OTC drug label， and 65.3% of residents did not know the difference between class A and B OTC drugs in terms of OTC drug awareness. And there were statistically significant differences in the scores of OTC drug awareness among different genders， education levels， monthly income and places of residence （P＜0.05）. When choosing OTC drugs， 23.5% of residents still believed in advertisements or friends’ recommendations； 14.5% of the residents did not read the drug instructions carefully before taking drugs. In terms of drug risk， 5.1% of residents had long-term use of OTC drugs； 8.6% of residents reported taking three or more OTC drugs； 2.1% of residents often added other drugs with the same effect or increased the dosage by themselves. They took traditional Chinese medicine， Mongolian medicine and other preparations while taking OTC drugs， accounting for 19.6%， 22.6% and 13.0% respectively. CONCLUSIONS Residents in Inner Mongolia have low awareness of OTC drugs， and their habits of drug use need to be improved. Repeated drug use and overdose drug use are serious， it is necessary to strengthen the publicity and popularization of rational use of OTC drugs.

Analysis of radionuclide content in the surface soil of Panjin, China / 中国辐射卫生

@#<b>Objective</b> To measure the specificactivity of natural and synthetic radionuclides in the environmental soil of Panjin, China and determine the content of radionuclides in the surface soil, and to conduct a scientific assessment of the radiation health risks of residents in this area. <b>Methods</b> Thirty-one surface soil samples were collected within the jurisdiction of Panjin, and a high-purity germanium detector was used for γ spectrum analysis to obtain the content of radionuclides and the current environmental radioactivity level. The two independent samples mean <i>t</i>-test was used to compare the specific activity data of radionuclides in soil samples between Panjin and Liaoning Province or China. <b>Results</b> The meanspecific activities of natural radionuclides ²³⁸U, ²²⁶Ra, ²³²Th, ⁴⁰K, and synthetic radionuclide ¹³⁷Cs in the surface soil samples of Panjin were 18.7 Bq/kg, 19.6 Bq/kg, 23.5 Bq/kg, 604.6 Bq/kg, and 0.9 Bq/kg, respectively. <b>Conclusion</b> The specific activities of natural and synthetic radionuclides in the surface soil samples of Panjin Area at the background level, causing a very low health risk to the people in this area.

The coronavirus spread: the Italian case.

A model based on population growth, chaotic maps, and turbulent flows is applied to the spread of Coronavirus for each Italian region in order to obtain useful information and help to contrast it. We divide the regions into different risk categories and discuss anomalies. The worst cases are confined between the Appenine and the Alps mountain ranges but the situation seem to improve closer to the sea. The Veneto region gave the most efficient response so far and some of their resources could be diverted to other regions, in particular, more tests to the Lombardia, Liguria, Piemonte, Marche and V. Aosta regions, which seem to be worst affected. We noticed worrying anomalies in the Lazio, Campania and Sicilia regions to be monitored. We stress that the number of fatalities we predicted on March 12 has been confirmed daily by the bulletins. This suggests a change of strategy in order to reduce such number maybe moving the weaker population (and negative to the virus test) to beach resorts, which should be empty presently. The ratio deceased/positives on April 4, 2020 is 5.4% worldwide, 12.3% in Italy, 1.4% in Germany, 2.7% in the USA, 10.3% in the UK and 4.1% in China. These large fluctuations should be investigated starting from the Italian regions, which show similar large fluctuations.

Whole-genome sequencing of 175 Mongolians uncovers population-specific genetic architecture and gene flow throughout North and East Asia.

The genetic variation in Northern Asian populations is currently undersampled. To address this, we generated a new genetic variation reference panel by whole-genome sequencing of 175 ethnic Mongolians, representing six tribes. The cataloged variation in the panel shows strong population stratification among these tribes, which correlates with the diverse demographic histories in the region. Incorporating our results with the 1000 Genomes Project panel identifies derived alleles shared between Finns and Mongolians/Siberians, suggesting that substantial gene flow between northern Eurasian populations has occurred in the past. Furthermore, we highlight that North, East, and Southeast Asian populations are more aligned with each other than these groups are with South Asian and Oceanian populations.

Association Analysis of Genetic Variants with Type 2 Diabetes in a Mongolian Population in China.

The large scale genome wide association studies (GWAS) have identified approximately 80 single nucleotide polymorphisms (SNPs) conferring susceptibility to type 2 diabetes (T2D). However, most of these loci have not been replicated in diverse populations and much genetic heterogeneity has been observed across ethnic groups. We tested 28 SNPs previously found to be associated with T2D by GWAS in a Mongolian sample of Northern China (497 diagnosed with T2D and 469 controls) for association with T2D and diabetes related quantitative traits. We replicated T2D association of 11 SNPs, namely, rs7578326 (IRS1), rs1531343 (HMGA2), rs8042680 (PRC1), rs7578597 (THADA), rs1333051 (CDKN2), rs6723108 (TMEM163), rs163182 and rs2237897 (KCNQ1), rs1387153 (MTNR1B), rs243021 (BCL11A), and rs10229583 (PAX4) in our sample. Further, we showed that risk allele of the strongest T2D associated SNP in our sample, rs757832 (IRS1), is associated with increased level of TG. We observed substantial difference of T2D risk allele frequency between the Mongolian sample and the 1000G Caucasian sample for a few SNPs, including rs6723108 (TMEM163) whose risk allele reaches near fixation in the Mongolian sample. Further study of genetic architecture of these variants in susceptibility of T2D is needed to understand the role of these variants in heterogeneous populations.

The genome of a Mongolian individual reveals the genetic imprints of Mongolians on modern human populations.

Mongolians have played a significant role in modern human evolution, especially after the rise of Genghis Khan (1162[?]-1227). Although the social cultural impacts of Genghis Khan and the Mongolian population have been well documented, explorations of their genome structure and genetic imprints on other human populations have been lacking. We here present the genome of a Mongolian male individual. The genome was de novo assembled using a total of 130.8-fold genomic data produced from massively parallel whole-genome sequencing. We identified high-confidence variation sets, including 3.7 million single nucleotide polymorphisms (SNPs) and 756,234 short insertions and deletions. Functional SNP analysis predicted that the individual has a pathogenic risk for carnitine deficiency. We located the patrilineal inheritance of the Mongolian genome to the lineage D3a through Y haplogroup analysis and inferred that the individual has a common patrilineal ancestor with Tibeto-Burman populations and is likely to be the progeny of the earliest settlers in East Asia. We finally investigated the genetic imprints of Mongolians on other human populations using different approaches. We found varying degrees of gene flows between Mongolians and populations living in Europe, South/Central Asia, and the Indian subcontinent. The analyses demonstrate that the genetic impacts of Mongolians likely resulted from the expansion of the Mongolian Empire in the 13th century. The genome will be of great help in further explorations of modern human evolution and genetic causes of diseases/traits specific to Mongolians.

[Biological effects of estrogen on capillary vessel formation in wound healing].

OBJECTIVE: To review the regulating effects of estrogen on endothelial cell functions, the involved endothelial progenitor cells (EPCs), and the related VEGF, and explore the mechanism of estrogen participating in new vessel formation on wound basement and wound healing. METHODS: Recent literature about biological effects of estrogen on capillary vessel formation was reviewed. RESULTS: The formation of new vessel in the wound's granulation tissue contained vasculogenesis and vascularization, and the new vessels could transport the oxygen and nutrient for the metabolism of the local healing tissue. The estrogen effected vascular endothelial cells through its receptors. Peripheral vascular EPCs differentiated into endothelial cells and participated into the formation of new vessels. Estradiol exerted influences on the dynamics of vascular EPCs and the neovascularization. VEGF was a key mediator in the processes of estradiol regulating angiogenesis. CONCLUSION: Understanding the molecular mechanisms that regulate vessel formation in wound healing, especially how estrogen modulates its receptor and angiogenic factor, may provide new approaches for managing wound healing.