Occupational pneumoconiosis remains the most common occupational disease in China, with occupational mineral dust exposure being its primary causative factor. Although national standards for online monitoring and early warning systems of coal mine dust concentrations have been established, national occupational health standards for rapid and online monitoring of dust concentration and particle size distribution in other industries are still limited. Among dust concentration sensor technologies, the light scattering method is the preferred choice for online dust monitoring owing to its wide measurement range and low cost. The beta-ray absorption method is mature but highly sensitive to humidity. The electrostatic induction method offers high sensitivity, simple structure, and low maintenance costs but exhibits high errors in low-concentration dust monitoring. The tapered element oscillating microbalance method is highly sensitive but costly. Multi-sensor data fusion technology can improve monitoring reliability, however, mature domestic products are not yet available. For monitoring dust particle size distribution, sieving and sedimentation methods are cumbersome. The aerodynamic method shows broad prospects in the online monitoring of respirable dust but has obvious measurement errors for larger dust particles. The use of optical measurement method is limited by dust morphology and is not suitable for monitoring coal dust particle size distribution. The electrical mobility method is primarily applicable to submicron dust. Future research should focus on promoting the application of monitoring technology for respirable dust particle size distribution in online monitoring of industrial dust. By integrating Internet of Things, data mining, and artificial intelligence technologies, along with multi-sensor data fusion and numerical simulation, dust concentration prediction models can be established to achieve accurate dust concentration monitoring and early warning of exceedances. The advancements of technologies will provide scientific support for the assessment of industrial dust hazards and the prevention and control of occupational pneumoconiosis.

Objective:To investigate the effect and molecular mechanism of high concentration of IL-17A on osteoclast differentiation by inhibiting autophagy of osteoclast precursor cells through PI3K/Akt pathway.Methods:With RANKL (50 ng/ml) inducing osteoclast precursor cells (osteoclast we cells, OCPs), osteoclast differentiation model is set up. In osteoclast differentiation model of high levels of IL-17A (100 ng/ml), RAW264.7 cells were divided into negative control CTR-N group, CTR-R group with RANKL, IL-17A group, IL-17A+LY294002 group. BMMs were divided into negative control CTR-N group with M-CSF, CTR-R group, IL-17A group and IL-17A+LY294002 group with M-CSF and RANKL. IL-17A was applied to OCPs, and tartrate-resistant acid phosphatase (TRAP) staining was used to observe the number of osteoclast differentiation. The number of autolysosomes was observed under transmission electron microscope. RAW264.7 was treated with IL-17A. Western blot was used to detect the relative expression levels of p-Akt/Akt, p-mtor/mTOR, p-PI3K/PI3K, p-ULK1/ULK1, Cleaved-caspase3/caspase3, Beclin1/β-actin. The apoptosis rate of RAW264.7 cells treated with IL-17A was detected by flow cytometry. OCPs were treated with IL-17A and PI3K inhibitor LY294002, and TRAP staining was used to observe the number of osteoclast differentiation.Results:The TRAP staining showed that the positive ratio for RAW264.7 cells CTR-N group, CTR-R group, IL-17A group was 1.33%±0.58%, 100%±3.01%, 51.11%±4.02% with that of IL-17A significantly lower than CTR-R group ( t=16.970, P<0.05). The positive rates of BMMs in the CTR-N group, CTR-R group and IL-17A group were 1.67%±0.58%, 100%±1.01% and 50.33%±2.52%, respectively, with that of IL-17A group significantly lower than CTR-R group ( t=31.770, P<0.05). Transmission electron microscopy showed that the number of autophagosomes in RAW264.7 cells in CTR-R group and IL-17A group were 3.67±1.53 and 0.67±0.58, respectively, with significant difference between the groups ( t=3.182, P<0.05). While in BMMs cells CTR-R group and IL-17 the numbers of autophagosome were 3.00±1.00 and 0.33±0.58 with significant difference ( t=4.000, P<0.05); Western blot results showed 0.69±0.03、0.69±0.13、1.47±0.13、0.78±0.04、0.66±0.10、0.82±0.03 for RAW264.7 cells CTR-R group Akt/Akt, p-mTOR/mTOR, p-PI3K/PI3K, p-ULK1/ULK1, Cleaved caspase3/caspase3, Beclin1/β-Actin and 0.89±0.04、1.14±0.18、1.87±0.04、0.53±0.09、0.93±0.02、0.54±0.03 for RAW264.7 cells IL-17A group p-Akt/Akt, p-mTOR/mTOR, p-PI3K/PI3K, p-ULK1/ULK1, Cleaved caspase3/caspase3, Beclin1/β-Actin with significant difference ( t=6.708; t= 3.497; t=5.424; t=4.542; t=4.638; t=11.220, all P<0.05); Flow cytometry detection showed that in CTR-R group, IL-17A RAW264.7 cells apoptosis rates of group A were 6.92%±0.62%, 12.12%±0.69%, with significant difference between the two groups ( t=9.747, P<0.05); After using LY294002 TRAP staining, it showed a positive result of 9.00%±2.00%, 158.33%±3.51%, 100%±2.65% and 128.99%±4.01% for CTR-N, CTR-R, IL-17A and IL-17A+LY294002 in RAW264.7 cells respectively with significant difference between IL-17A+LY294002 group and the IL-17A in group A ( t=10.470, P<0.05). For BMMs cells CTR-N, CTR-R group, IL-17A in group, IL-17A+LY294002 group, the positive rate was 8.01%±0.99%, 151.67%±4.51%, 100%±3.61%, with significant difference between IL-17A+LY294002 group and IL-17A group ( t=6.535, P<0.05). Conclusion:High concentration of IL-17A inhibits osteoclast differentiation by inhibiting autophagy of osteoclast precursor cells through PI3K/Akt pathway.

Developing and implementing biosafety standards for pathogenic microbiology laboratories is essential to achieving scientific, efficient, and standardized management and operation. This article analyzes the current standardization construction in biosafety in pathogenic microbiology laboratories domestically and internationally. It proposes a framework for the biosafety standard system of pathogenic microbiology laboratories, which mainly includes four parts: basic standards, management standards, technical standards, and industry applications. It provides a reference for the standardization work of pathogenic microbiology laboratories and helps to standardize the biosafety industry in China.

BACKGROUND:Currently,there is a lack of large sample studies to analyze the bone metabolism level of patients with femoral head necrosis of different etiologies and stages,which is not conducive to the development of better necrosis-promoting repair strategies. OBJECTIVE:To study the bone metabolism of patients with osteonecrosis of the femoral head with different etiologies and Association Research Circulation Osseous(ARCO)stages. METHODS:A retrospective study was performed on 401 patients diagnosed with osteonecrosis of the femoral head as the trial group,and 81 healthy subjects as the control group.The trial group could be divided into three groups according to different etiologies:steroid-induced osteonecrosis of the femoral head,alcoholic osteonecrosis of the femoral head and traumatic osteonecrosis of the femoral head,and were divided into stages Ⅱ/Ⅲ/Ⅳ according to different ARCO stages.Seven bone metabolism-related indicators of all subjects were collected,including bone metabolism-regulating hormone 25-hydroxyvitamin D and bone conversion markers:N-terminal propeptide of type Ⅰ procollagen,degradation product of type Ⅰ collagen,n-terminal middle molecular fragment of osteocalcin,general biochemical markers of bone metabolism:serum calcium,serum phosphorus,serum alkaline phosphatase.The bone metabolism levels of each group were compared and the independent factors associated with osteonecrosis of the femoral head were determined by binary Logistic regression analysis. RESULTS AND CONCLUSION:Compared with the control group,levels of degradation product of type Ⅰ collagen,N-terminal propeptide of type Ⅰ procollagen,n-terminal middle molecular fragment of osteocalcin,serum phosphorus and alkaline phosphatase in the trial group were significantly increased(all P＜0.05).Based on the presence or absence of the disease,according to binary Logistic regression analysis,degradation product of type Ⅰ collagen,N-terminal propeptide of type Ⅰ procollagen,and n-terminal middle molecular fragment of osteocalcin were independent factors associated with osteonecrosis of the femoral head.The levels of degradation product of type Ⅰ collagen and N-terminal propeptide of type Ⅰ procollagen in three groups of patients with different etiologies were higher than normal reference values.The bone metabolism-regulating hormone 25-hydroxyvitamin D and serum calcium in the alcoholic osteonecrosis of the femoral head group were higher than those in the other two groups(P＜0.05).The level of bone metabolism-regulating hormone 25-hydroxyvitamin D in steroid-induced and traumatic osteonecrosis of the femoral head groups was lower than the normal value.There were no significant differences in seven bone metabolism-related indicators in patients with ARCO stages Ⅱ,Ⅲ and Ⅳ osteonecrosis of the femoral head(all P＞0.05),but degradation product of type Ⅰ collagen and N-terminal propeptide of type Ⅰ procollagen in these three groups were higher than normal reference values.Bone metabolism-regulating hormone 25-hydroxyvitamin D in patients with ARCO stage Ⅱ and ARCO stage Ⅳ was lower than the normal reference value.It is concluded that the bone metabolism level of osteonecrosis of the femoral head patients was abnormal.The degradation product of type Ⅰ collagen and N-terminal propeptide of type Ⅰ procollagen of osteonecrosis of the femoral head patients with different etiologies and ARCO stages were all higher than the normal reference value,and they were in a state of high bone turnover.Degradation product of type Ⅰ collagen,N-terminal propeptide of type Ⅰ procollagen and n-terminal middle molecular fragment of osteocalcin may be risk factors for the pathogenesis of osteonecrosis of the femoral head.

Based on the analysis of the existing problems and implementation dilemmas in family doctor contracting and first-return-visits faced by primary medical institutions in China, the authors propose countermeasures to provide reference for managers of primary health care institutions.

Objective:To construct standard strains representing the main epidemic clades of HIV-1 in China, amplify the virus strains, and establish a seed lot.Methods:Six isolates of HIV-1 virus were identified and analyzed in genotype and phenotype, according to " interpretation for the social organization of the Standard strains of pathogenic microorganism- technical specifications for establishment of HIV strains". The isolates were amplified and cultivated to generate the secondary generation primary seed lot and the third generation working seed lot as frozen storage in liquid nitrogen. Results:Six HIV-1 standard strains were obtained, of which 3 strains are CRF_ 07BC (NRPC2.4.9003, NRPC2.4.9005, NRPC2.4.9006), 1 strain is CRF_ 01AE (NRPC2.4.9001), 1 strain is CRF_ 08BC (NRPC2.4.9002), and 1 strain is URF (NRPC2.4.9004). Phenotypic detection showed that all six strains are CCR5 tropics and Non syncytia inducing virus. TCID 50 were all greater than 1 × 10 5/ml, and concentrations of p24 antigen were all higher than 2 ng/ml. A primary seed lot with no less than 20 vials per strain and a working seed lot with no less than 50 vials per strain were constructed. The standard virus strains were used in evaluating antiviral drugs PEG2kC34, PEG5kC34, LP-19, and neutralizing antibody LSEVh LS-F. Conclusions:Six standard strains of HIV-1 virus covering the three main epidemic subtypes of HIV-1 in China have been obtained, and a storage of HIV-1 standard strain was constructed. It meets the need of the preservation of HIV-1 standard strains in China and provides support for drug and vaccine evaluation.

Objective:To investigate the application value of CT and MRI imageomics based on machine learning method in the diagnosis of pancreatic cancer.Methods:The clinical data of 62 patients with surgically resected and pathologically confirmed pancreatic cancer, who underwent enhanced CT scan, MRI plain or enhanced scan in Shanghai General Hospital between January 2014 and December 2021 were collected. According to the chronological order of surgery, 49 patients from January 2014 to December 2020 were enrolled in the training set and 13 patients from January 2021 to December 2021 were enrolled in the validation set. 3D-slicer 4.8.1 software was used to draw the region of interest in each layer of CT and MRI images for cancerous and paracancerous tissue segment. Image features were extracted by Python and the optimal feature set from the training set data was obtained by using Lasso regression model. The machine learning decision tree model was constructed. The receiver operating characteristic curve(ROC) curve was drawn, and the area under the curve (AUC) was calculated to evaluate the value of these three kinds of imageomics models in the diagnosis of pancreatic cancer.Results:The 1 767 CT features and 1 674 MRI features were obtained from enhanced CT scan, MRI plain scan and enhanced MRI scan, respectively. For the differential diagnosis model of cancerous tissue and paracancerous tissue, the enhanced CT scan data model obtained the optimal feature set involving 6 features, the MRI plain scan model obtained the optimal feature set involving 16 features, and the enhanced MRI scan model obtained the optimal feature set involving 15 features. The diagnostic model based on enhanced CT scan had an AUC of 0.98 in the training set and 1 in the verification group. The AUC of the MRI plain scan and enhanced MRI scan models in both the training set and the validation set was 1. The specificity and sensitivity of machine learning decision tree model based on the three kinds of imageomics models in the diagnosis of cancerous tissue and paracancerous tissue were 100%. For the differential diagnosis model of splenic artery wrapping, the enhanced CT scan model didn′t obtain the optimal features and had no diagnostic efficacy. The MRI plain scan model and enhanced MRI scan model obtained the optimal feature set involving 5 and 4 features, respectively. The AUC of the MRI plain scan model in the training set and the validation set were 0.862 and 0.750, respectively, with diagnostic sensitivity of 93.8% and 50.0%, and specificity of 78.6% and 100%, respectively. The AUC of the enhanced MRI scan model in the training set and the validation set were 0.950 and 0.861, respectively, with diagnostic sensitivity of 90.0% and 93.6%, and specificity of 100% and 78.6%, respectively.Conclusions:Based on the radiomics of CT enhanced, MRI plain scan and enhanced MRI scan, the machine learning diagnostic model has an accuracy of more than 90% in differentiating pancreatic cancer from paracancerous tissue. For the differentiation of splenic artery wrapping in pancreatic cancer, the diagnostic model based on enhanced MRI scan haS the best diagnostic efficiency.

Traumatic cerebrospinal fluid leakage commonly presents in traumatic brain injury patients, and it may lead to complications such as meningitis, ventriculitis, brain abscess, subdural hematoma or tension pneumocephalus. When misdiagnosed or inappropriately treated, traumatic cerebrospinal fluid leakage may result in severe complications and may be life-threatening. Some traumatic cerebrospinal fluid leakage has concealed manifestations and is prone to misdiagnosis. Due to different sites and mechanisms of trauma and degree of cerebrospinal fluid leak, treatments for traumatic cerebrospinal fluid leakage varies greatly. Hence, the Craniocerebral Trauma Professional Group of Neurosurgery Branch of Chinese Medical Association and the Neurological Injury Professional Group of Trauma Branch of Chinese Medical Association organized relevant experts to formulate the " Chinese expert consensus on the diagnosis and treatment of traumatic cerebrospinal fluid leakage in adults ( version 2023)" based on existing clinical evidence and experience. The consensus consisted of 16 recommendations, covering the leakage diagnosis, localization, treatments, and intracranial infection prevention, so as to standardize the diagnosis and treatment of traumatic cerebrospinal fluid leakage and improve the overall prognosis of the patients.

Immunotherapy plays an important role in tumor biology research, and there has been significant progress in target therapy for cancer. B7-H3(CD276) is an immune checkpoint from the B7 family of molecules, many of whom interact with known checkpoint markers including CTLA4, PD-1, and CD28. This molecule is over-expressed in many kinds of tumors, although the receptor of B7-H3 has not been characterized. Initially, B7-H3 was thought to co-stimulate the immune response, but recent studies have shown that it has a co-inhibitory role on T-cells, contributing to cancer cell immune evasion. Therefore, its over-expression has been linked to poor prognosis in human patients and to invasive and metastatic potential of tumors in in vitro models. Moreover, recent evidence has shown that B7-H3 influences cancer progression beyond the immune regulatory roles. In this review, we aim to characterize the roles of B7-H3 in different cancers, its relationship with other immune checkpoints, and its non-immunological function in cancer progression. Targeting B7-H3 in cancer treatment can reduce cell proliferation, progression, and metastasis, which may lead to improved therapeutic options and better clinical outcomes.

Background: Gastric cancer is one of the common gastrointestinal malignancies. Early diagnosis can reduce the mortality rate significantly. In the Chinese consensus published in 2017, the New Gastric Cancer Screening Scoring System was recommended to be used for risk stratification of gastric cancer. Aims: To preliminarily explore the value of the New Gastric Cancer Screening Scoring System in early gastric cancer screening in asymptomatic community population. Methods: At several communities in Suzhou City Xiangcheng District, a questionnaire survey was conducted in asymptomatic community residents willing to accept voluntary serum tests to collect information on high risk factors of gastric cancer. Serum pepsinogen (PG), PGⅡ, gastrin 17 (G-17) and Helicobacter pylori (Hp) IgG were tested simultaneously. Risk stratification of gastric cancer was carried out in accordance with the New Gastric Cancer Screening Scoring System. Gastroscopy was recommended for moderate to high risk individuals. Results: A total of 540 asymptomatic individuals completed the study, of which 11 were categorized as high risk (2.0%), 168 as moderate risk (31.1%), and 361 as low risk (66.9%). Sixty-four moderate to high risk individuals completed the gastroscopy with a response rate of 35.8%. Four precancerous lesions were detected (6.2%), including 3 gastric low-grade intraepithelial neoplasia and 1 duodenal adenoma. No gastric cancer was detected. Conclusions: The New Gastric Cancer Screening Scoring System is useful for risk stratification of gastric cancer in asymptomatic population and may provide a basis for further endoscopic examination. However, the value of this scoring system in low risk areas of gastric cancer needs to be further verified.