BACKGROUND:Human periodontal ligament stem cells are potential functional cells for periodontal tissue engineering.However,long-term in vitro culture may lead to reduced stemness and replicative senescence of periodontal ligament stem cells,which may impair the therapeutic effect of human periodontal ligament stem cells. OBJECTIVE:To investigate the effect of oxymatrine on the stemness maintenance and osteogenic differentiation of periodontal ligament stem cells in vitro,and to explore the potential mechanism. METHODS:Periodontal ligament stem cells were isolated from human periodontal ligament tissues by tissue explant enzyme digestion and cultured.The surface markers of mesenchymal cells were identified by flow cytometry.Periodontal ligament stem cells were incubated with 0,2.5,5,and 10 μg/mL oxymatrine.The effect of oxymatrine on the proliferation activity of periodontal ligament stem cells was detected by CCK8 assay.The appropriate drug concentration for subsequent experiments was screened.Western blot assay was used to detect the expression of stem cell non-specific proteins SOX2 and OCT4 in periodontal ligament stem cells.qRT-PCR and western blot assay were used to detect the expression levels of related osteogenic genes and proteins in periodontal ligament stem cells. RESULTS AND CONCLUSION:(1)The results of CCK8 assay showed that 2.5 μg/mL oxymatrine significantly enhanced the proliferative activity of periodontal stem cells,and the subsequent experiment selected 2.5 μg/mL oxymatrine to intervene.(2)Compared with the blank control group,the protein expression level of SOX2,a stem marker of periodontal ligament stem cells in the oxymatrine group did not change significantly(P>0.05),and the expression of OCT4 was significantly up-regulated(P<0.05).(3)Compared with the osteogenic induction group,the osteogenic genes ALP,RUNX2 mRNA expression and their osteogenic associated protein ALP protein expression of periodontal ligament stem cells were significantly down-regulated in the oxymatrine+osteogenic induction group(P<0.05).(4)The oxymatrine up-regulated the expression of stemness markers of periodontal ligament stem cells and inhibited the bone differentiation of periodontal ligament stem cells,and the results of high-throughput sequencing showed that it may be associated with WNT2,WNT16,COMP,and BMP6.

Objective:To elucidate the etiological and epidemiological characteristics and epidemiological patterns of viral acute respiratory infections (ARI) in Shanghai during 2023, with the aim of providing robust laboratory evidence for effective prevention and control strategies against related respiratory diseases and facilitating risk assessment.Methods:Respiratory pathogens were detected in the clinical surveillance specimens submitted by sentinel hospitals through multiplex PCR, as part of the multi-pathogen surveillance of acute respiratory infections in Shanghai during 2023. The obtained detection result were statistically analyzed in conjunction with sample information.Results:The positive detection rate of viral pathogens in 2023 was 21.17% (984/4 648), with rates of 33.53% (504/1 503) observed in ILI cases and 15.62% (480/3 145) in SARI cases. Influenza A virus (FluA) was the predominant virus detected, accounting for 13.7% (637/4 648). Other viruses identified in the surveillance samples included influenza B virus (Flu B), human rhinovirus/enterovirus (HRV/HEV), respiratory syncytial virus (RSV), human metapneumovirus (HMPV), parainfluenza virus (PIV), adenovirus (ADV) and human bocavirus (HBoV). Regarding temporal distribution, HRV/HEV and RSV exhibited the highest detection rates during the second quarter at 2.27% each (28/1 236). PIV had its peak during the third quarter at a rate of 2.49% (35/1 405), and HMPV showed prevalence mainly during the third and fourth quarters, with detection rates of 2.63% (37/1 405) and 2.35% (32/1 360), respectively.Conclusions:In acute respiratory infection surveillance cases in Shanghai in 2023, Flu A emerged as the predominant respiratory pathogen. The detection rate of HMPV ranked second only to Flu A, while other respiratory viruses such as HRV/HEV, RSV, and PIV were detected during different seasons and co-circulated. The prevalence of various respiratory viruses varied among different infected populations and over times.

This is the first reported case of a female with monkeypox infection in Kunming City,Yunnan Province.An epi-demiological investigation was conducted to provide a scientific basis for the prevention and control of monkeypox epidemics in China,especially for early detection in females in accordance with the"Monkeypox prevention and control program(2023 ver-sion)".Diagnosis was performed as described in the"Monkeypox Diagnosis and Treatment Guidelines(2022 version)".Speci-mens were collected for laboratory testing.The epidemiological investigation determined that the female patient had sexual in-tercourse with her newly married husband once before disease onset and the husband hid his history of male homosexual sex.The laboratory test results of the woman and her husband were positive for the nucleic acid of the monkeypox virus.Both had typical clinical symptoms,including rash.The epidemiological investigation,clinical symptoms,laboratory test results,and previous epidemic data of monkeypox in Yunnan province confirmed the woman as the first female infected with monkeypox in Yunnan Province and her husband was the presumed source of infection.

Objective:To analyze the DTA(DNMT3A,TET2,ASXL1)mutations in patients with myeloproliferative neoplasms(MPN),and preliminarily explore their correlation with thromboembolism.Methods:Clinical characteristics of 62 patients diagnosed de novo MPN at Central Hospital Affiliated to Shandong First Medical University from September 2016 to September 2022 were retrospectively analyzed.Next-generation sequencing was used to detect 35 MPN-related genes,and the DTA mutations in MPN patients and their relationship with thromboembolic events were analyzed.Results:75.8％(47/62)of the patients presented pathogenic non-driver mutations,and the mean number of pathogenic non-driver mutations per patient was 1.08.Among them,the most frequently mutated non-driver genes were TET2(38.7％,24/62),DNMT3A(9.7％,6/62)and ASXL1(6.5％,4/62).The presence of DTA gene mutations was 50％(31/62)in the total MPN patients,and mainly accompanied by driver mutations.The mutation rate of DTA in patients aged ≥60 years was significantly higher than that in patients＜60 years old(P=0.039).The incidence of thromboembolism in patients with DTA mutation was 58.1％(18/31),which was significantly higher than that in patients without DTA mutation(19.4％,6/31)(P=0.002).The TET2 gene mutation rate in MPN patients with thromboembolism was 66.7％(16/24),which was significantly higher than that in patients without thromboembolism(21.1％,8/38)(P=0.00).Conclusion:Patients with MPN have a higher incidence of DTA mutations,which are mainly accompanied by driver gene mutations.The incidence of thromboembolism in MPN patients with DTA mutations is higher than that in patients without DTA mutations.Especially,the elderly(≥60 years)essential thrombocythemia(ET)and polycythemia vera(PV)patients with TET2 mutation should be vigilant for thromboembolic events.

Fragile X syndrome (FXS) is a neurodevelopmental synaptopathy caused by loss of fragile X mental retardation protein (FMRP); abnormal synaptic plasticity is the leading pathological cause of cognitive impairment, fear and anxiety, hyperactivity and stereotyped behavior in FXS patients. In recent years, breakthroughs have been made in functional study of synaptic plasticity in FXS, providing a new theoretical basis for FXS. This article mainly summarizes the dysregulation and influencing factors of synaptic plasticity in FXS, as well as the strategy of targeted synaptic plasticity in FXS, so as to deepen the understanding of medical workers.

Objective To propose a multi-cascade deep learning processor-based surgical instrument detection and pose estimation algorithm to facilitate the robotic scurb nurse to recognize and delivery surgical instruments.Methods The proposed multi-cascade deep leaning processor-based CYSP algorithm was hibernated with several functional modules such as YOLOX with coordinate attention block(CA-YOLOX),segment anything model(SAM)and principal component analysis(PCA).Firstly,CA-YOLOX was applied to identifying the types of the surgical instruments and completing the coarse positioning of x and y coordinates;secondly,the SAM segmenter was used to clarify the positions of the instruments in the RGB image,and the depth information and internal parameters of the camera were introduced to obtain the point cloud of the surgical instruments;finally,the center of mass,principal direction and normal direction of the surgical instrument point cloud were determined through the PCA algorithm,with which the rotation and translation(RT)matrix between the target coordinate system(surgical instrument center of mass coordinate system)and the base coordinate system of the robotic arm was solved,and the matrix was converted into a quaternion and then transmitted to the robotic arm control unit so as to drive the robotic arm to arrive at the corresponding position and pick up the instrument to complete the instrument delivery task.Migration training was accomplished on a self-constructed surgical instrument image dataset and the effectiveness of the proposed algorithm was evaluated,and instrument delivery experiments were performed on a seven-degree-of-freedom robotic arm and the success rate of the algorithm was assessed.Results The multi-cascade deep leaning processor-based CYSP algorithm had a recognition accuracy of 98.52％on the surgical instrument dataset,a success rate of 94％for the in-strument delivery experiment and average time for recognition of 0.28 s.Conclusion The multi-cascade deep leaning proces-sor-based CYSP algorithm with high reliability and practicability behaves well in facilitating the robotic scurb nurse to recog-nize and deliver surgical instruments.[Chinese Medical Equipment Journal,2024,45(6):1-8]

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To combine ultrasound and clinical characteristics for predicting the treatment time of strontium 90( 90Sr) radioisotope applicator therapy for pathological scars when the therapeutic effect meets the clinical effective criteria. Methods:From September 2022 to October 2023, 48 patients (90 lesions) with pathological scars who underwent 90Sr radioisotope applicator therapy at the Department of Nuclear Medicine, Nanfang Hospital, Southern Medical University were prospectively collected. The clinically effective criteria of 90Sr radioisotope applicator therapy for pathological scars were defined as a reduction of the superficial height of the scar higher than 50%. All lesions were divided into short period treatment group (2 months, 38 lesions) and long period treatment group (>2 months, 52 lesions) according to the duration of treatment when the therapeutic effect met the clinical criteria. Univariate comparative analyses of ultrasound and clinical characteristics between the two groups were performed. The statistically significant variates were used to build a multivariate logistic regression model for analyzing the independent predictors of the treatment time of 90Sr radioisotope applicator therapy for pathological scars. Results:Family history, blood flow signal, disease duration, age, and scar Young′s modulus were independent predictors of the effective treatment time of 90Sr radioisotope applicator therapy for pathological scars (all P<0.05). By using the selected variables, a predictive model was developed, area under the ROC curve (AUC) were 0.886 (95% CI=0.817-0.955, P<0.001), and the calibration curve showed that the model was well calibrated(χ 2=5.668, P=0.684). Conclusions:The multivariate logistic regression model with family history, blood flow signal, disease duration, age, and scar Young′s modulus could be used to predict the treatment time of 90Sr radioisotope applicator therapy for pathologic scars, which can help to guide the design of treatment plan, reduce unnecessary radiation damage, and improve patient compliance.

Background Heavy metal exposure may be associated with the risk of metabolic syndrome (MetS) and serum uric acid. The role of serum uric acid in the relationship between heavy metal exposure and MetS is currently unclear. Objective To evaluate the relationships of heavy metal exposure with MetS and serum uric acid, and to quantify the role of serum uric acid in the relationship. Methods In 2021, convenience sampling was used to select 571 local adults in Liuzhou, Guangxi. Demographic characteristics, lifestyle habits, and physiological and biochemical indicators were collected through questionnaire surveys and physical examinations. Fasting blood and mid-stream morning urine were also collected. The concentrations of 16 heavy metals in urine were measured using inductively coupled plasma mass spectrometry. Least absolute shrinkage and selection operator (LASSO) regression was employed to identify heavy metals associated with MetS. Logistic regression and linear regression models were employed to evaluate the association between the selected heavy metals and MetS as well as serum uric acid. Bayesian kernel machine regression (BKMR) model was utilized to assess the impact of combined exposures to multiple metals on the risk of MetS and identify the main effect metals. Generalized structural equation model was used to evaluate potential mediating effect of serum uric acid on the relationship between heavy metal exposure and MetS. Results The LASSO regression identified a total of 9 heavy metals that were associated with MetS. The logistic regression revealed a positive correlation between zinc and copper in urine and MetS (P _trend<0.05), while vanadium showed a negative correlation with MetS (P _trend<0.05). Compared to the low concentration groups, the high concentration groups of zinc (OR=2.37, 95%CI: 1.33, 4.20) and copper (OR=2.29, 95%CI: 1.26, 4.18) had an increased risk of MetS, while the high concentration group of vanadium showed a decreased risk of MetS (OR=0.47, 95%CI: 0.27, 0.84). The main effect metals identified by the BKMR model were consistent with the results of logistic regression. The linear regression analysis demonstrated an association between urinary zinc and vanadium concentrations and serum uric acid levels (P _trend<0.05). Compared to the low concentration group, the high concentration group of zinc showed an increase in serum uric acid level (β=0.07, 95%CI: 0.03, 0.11), while the high concentration group of vanadium showed a decrease in serum uric acid level (β=-0.06, 95%CI: -0.09, -0.02). The mediation analysis revealed that serum uric acid played a mediating role in the relationship between urinary zinc and vanadium concentrations and MetS, with mediation proportions of 8.33% and 16.67%, respectively. Conclusion Exposure to heavy metals zinc, copper, and vanadium are closely associated with MetS. Zinc and vanadium exposures are correlated with serum uric acid levels, and serum uric acid plays a partial mediating role in the relationship between zinc and vanadium exposures and MetS.

Objective To investigate doctors'knowledge and differences in islet function assessment methods in China.Methods This is a cross-sectional study that conducted by online questionnaire survey.Demographic data,examination items,blood collection point of OGTT,detection method,kit type and follow-up frequency were collected and compared among doctors in different regions,different levels of hospitals,different specialties and different titles.Results 79.2%and 85.1%of physicians believed that the levels of insulin and C-peptide should be measured at the same time to assess islet function in patients with newly diagnosed and follow-up diabetes mellitus patients.Endocrinologists preferred to access insulin and C-peptide at the same time(P<0.05).56.0%of physicians chose bread meal test for T1DM patients and 54.7%for T2DM patients.Compared with non-specialists,endocrinologists preferred to commit bread meal test to T1DM patients(61.4%vs 41.0%,P<0.05).In addition,for the islet function assessment of new-onset diabetes patients,7.6%of physicians chose the six-point method(0,30,60,90,120,180 min),27.3%selected the five-point method I(0,30,60,120,180 min),8.5%selected the five-point method II(0,30,60,90,120 min),9.8%selected the four-point method I(0,30,60,120 min),10.3%selected the four-point method II(0,60,120,180 min),13.8%chose the three-point method(0,60,120 min)and 13.4%chose the two-point method(0,120 min).At the time of follow-up assessment,the above selection rates were 5.3%,20.4%,6.4%,6.6%,9.4%,15.8%and 24.1%,respectively.In terms of the frequency of assessment,39.2%of doctors assessed islet function once a year and 24.7%once every six months.Specialists preferred to assess islet function once a year,and physicians with senior titles chose to assess islet function more variably.Conclusion At present,there are still great differences in assessment methods of islet function in China.It is of great significance for the clinical diagnosis and treatment of diabetes to understand the differences in the selection of islet function assessment methods among doctors in different regions,specialties and job titles.