ObjectiveTo investigate the impact of aberrant SKI expression and its mutations on the biological characteristics of cholangiocarcinoma cell lines QBC939 and RBE， and to explore the underlying molecular mechanisms. MethodsThe Gene Expression Profiling Interactive Analysis 2 （GEPIA2） database was utilized to analyze SKI expression and its clinical relevance in cholangiocarcinoma patients. Lentiviral transduction was employed to establish QBC939 and RBE cell lines with stable SKI overexpression， mutation， or knockdown. Cell proliferation was assessed using CCK-8， colony formation， and EdU assays. Apoptosis and cell cycle distribution were analyzed by flow cytometry. Cell migration was evaluated using Transwell and wound healing assays. The effect of SKI over-expression， mutation， or knockdown on key proteins （SMAD2， SMAD3， SMAD4） in the transforming growth factor-β （TGF-β）/Small mothers against decapentaplegic （SMAD） signaling pathway was examined by Western blot. ResultsCompared to SKI overexpression alone， the introduction of SKI mutations significantly promoted S-phase progression， enhanced proliferation and migration， and inhibited apoptosis. Mechanistically， SKI mutations suppressed the phosphorylation of SMAD2 and SMAD3 proteins， thereby inhibiting the transcriptional activity of the TGF-β signaling pathway. Conversely， SKI knockedown produced the opposite effects. ConclusionSKI gene mutation acts as a gain-of-function genetic alteration， exerting an oncogenic role in cholangiocarcinoma cells. The primary mechanism involves the inhibition of the TGF-β/SMAD signaling pathway， which in turn promotes proliferation and cell cycle progression， and suppresses apoptosis in QBC939 and RBE cells， ultimately driving tumor progression.

Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

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 develop and validate a deep learning model for automatic identification of liver CT contrast-enhanced phases.Methods A total of 766 patients with liver CT contrast-enhanced images were retrospectively collected.A three-phase classification model and an arterial phase(AP)classification model were developed,so as to automatically identify liver CT contrast-enhanced phases as early arterial phase(EAP)or late arterial phase(LAP),portal venous phase(PVP),and equilibrium phase(EP).In addition,221 patients with liver CT contrast-enhanced images in 5 different hospitals were used for external validation.The annotation results of radiologists were used as a reference standard to evaluate the model performances.Results In the external validation datasets,the accuracy in identifying each enhanced phase reached to 90.50%-99.70%.Conclusion The automatic identification model of liver CT contrast-enhanced phases based on residual network may provide an efficient,objective,and unified image quality control tool.

Objective:To assess the effects of low-dose ionizing radiation on the thyroid of medical radiation workers.Methods:Based on the inclusion and exclusion criteria, 27 articles, involving 22 937 individuals, were screened finally from relevant literature published from 1996 to 2022. Meta-analysis was carried out using Stata 16.0 for serum levels of triiodothyronine (T 3), free triiodothyronine (FT 3), thyroid hormone (T 4), free thyroid hormone (FT 4), thyrotropin-stimulating hormone (TSH) and thyroid nodule rates. As well, subgroup analysis were carried out of thyroid function in different types of radiation workers. Results:The standardized mean difference (SMD) at T 3 and T 4 levels for radiation workers was -0.19 (-0.37, -0.01) and -0.34 (-0.38, -0.30), lower than that of control group ( Z=2.07, -16.06, P<0.05). The SMD at FT 4 levels for radiation workers was 0.22 (0.06, 0.39), higher than control group ( Z=2.61, P<0.05). The relative risk of thyroid nodules in radiation workers was 1.47 (1.19, 1.82), higher than that of control group ( Z=-3.58, P<0.05). The analysis result for subgroup showed that the SMD for T 3, T 4 and TSH levels in the interventional radiology workers were -0.29 (-0.51, -0.07), -0.31 (-0.47, -0.15) and -0.43 (-0.73, -0.13) ( Z=-2.55, -3.86, -2.82, P<0.05), respectively, and the SMD for T 4 levels in the nuclear medicine workers was -0.26 (-0.45, -0.07), which meaned a reduced risk compared to the control group ( Z=-2.70, P<0.05). Conclusions:Long-term low doses of ionising radiation may have adverse effects on thyroid hormone and thyroid nodule in radiation workers, particularly in interventional radiology workers, and attention should be focused on their radiation protection.

Objective : To investigate the effects of C-type lectin domain family 5，member A( CLEC5A) on the pro- liferation，apoptosis，and cell cycle of leukemia cell lines THP-1 and K562，and the underlying mechanism． Methods : The expression of CLEC5A in leukemia patients was investigated in the GEPIA database. Recombined plasmid containing CLEC5A was transfected into THP-1 and K562 cells for overexpression of CLEC5A．Small interfering RNA(siRNA) was used to knock down the endogenous CLEC5A in leukemia cells．CCK-8 and EdU assays were used to assess the leukemia cells proliferation．Flow cytometry was used to assess cell cycle．Flow cytometry was used to assess cell apoptosis under hydrogen peroxide( H2 O2 ) stress．The RNA sequencing( RNA-seq) and pathway enrichment analysis were used to analyze the signal pathways of significant enrichment of up-regulated or down-reg- ulated genes after knocking down CLEC5A gene．Protein expression levels of several members in AKT1 / mTOR and p53 signaling pathways were detected by Western blot assays. Results : CLEC5A was significantly up-regulated in bone marrow tissues of leukemia patients compared to the matched non-tumor tissues of healthy individuals．Knock- down of CLEC5A significantly reduced the proliferation(all P＜0. 01) and S phase progression(all P＜0. 05) ，and increased the apoptosis(all P＜0. 001) under H2 O2 stress，in THP-1 and K562 cells．Conversely，overexpression of CLEC5A significantly increased the proliferation(all P ＜0. 001) and S phase progression ( all P ＜0. 01) ，and re- duced the apoptosis(all P＜0. 01) under H2 O2 stress，in THP-1 and K562 cells．The uregulated genes were sig- nificantly enriched in AKT1-mTOR and other signal pathways after knocking down CLEC5A，while the down-regula- ted genes were significantly enriched in cell cycle signal pathways．CLEC5A in leukemia cells significantly reduced the genes expression levels of BAX and p53，and significantly induced the gene expression levels of BCL-2 and phosphorylation levels of AKT1 and mTOR proteins． Conclusion CLEC5A increases the cell cycle and proliferation and inhibits cells apoptosis in THP-1 and K562 cells，and the mechanism may be related to activating the AKT / mTOR and p53 signaling pathways.

Objective:To understand the lens condition of radiation workers in a city, explore the factors affecting lens opacity, and provide basis for strengthening the radiation protection management of radiation workers.Methods:In December 2020, according to the national radiation health monitoring project, the occupational health examination data of radiation workers in an occupational health examination institution in a city from December 2018 to November 2020 were collected, including the basic information of radiation workers and ophthalmic examination results. The lens conditions of radiation workers in different subgroups were analyzed, and the influencing factors of lens opacity were analyzed by multifactor logistic regression.Results:A total of 4452 radiation workers were included, of which 439 (9.9%) had lens opacity. The lens opacity rate of male radiation workers was higher than that of female radiation workers ( P<0.05) . With the increase of age and length of service, the lens abnormalities of radiation workers increased ( rs=0.269, 0.212, P<0.01) . The lens opacity rate of radiation workers engaged in nuclear medicine was high (12.7%, 9/71) . The rate of lens opacity in off-the-job medical examination radiation workers was high (18.3%, 26/142) . By multivariate logistic regression analysis, the risk of lens opacification in the age ≤30-year-old group and the >30-<50-year-old group were 0.087 times (95% CI: 0.058-0.132) and 0.076 times (95% CI: 0.054-0.107) that in the age ≥50-year-old group, respectively. The risk of lens opacification in the age ≤10-year-old group, >10-<20-year-old group and 20-30-year-old group were 0.293 (95% CI: 0.189-0.456) , 0.413 (95% CI: 0.256-0.666) and 0.318 (95% CI: 0.204-0.497) times, respectively. Conclusion:The lens opacity rate of radiation workers is related to age and working age.Attention should be paid to high-age and long-term radiation workers to ensure their health.

Objective:To understand the lens condition of radiation workers in a city, explore the factors affecting lens opacity, and provide basis for strengthening the radiation protection management of radiation workers.Methods:In December 2020, according to the national radiation health monitoring project, the occupational health examination data of radiation workers in an occupational health examination institution in a city from December 2018 to November 2020 were collected, including the basic information of radiation workers and ophthalmic examination results. The lens conditions of radiation workers in different subgroups were analyzed, and the influencing factors of lens opacity were analyzed by multifactor logistic regression.Results:A total of 4452 radiation workers were included, of which 439 (9.9%) had lens opacity. The lens opacity rate of male radiation workers was higher than that of female radiation workers ( P<0.05) . With the increase of age and length of service, the lens abnormalities of radiation workers increased ( rs=0.269, 0.212, P<0.01) . The lens opacity rate of radiation workers engaged in nuclear medicine was high (12.7%, 9/71) . The rate of lens opacity in off-the-job medical examination radiation workers was high (18.3%, 26/142) . By multivariate logistic regression analysis, the risk of lens opacification in the age ≤30-year-old group and the >30-<50-year-old group were 0.087 times (95% CI: 0.058-0.132) and 0.076 times (95% CI: 0.054-0.107) that in the age ≥50-year-old group, respectively. The risk of lens opacification in the age ≤10-year-old group, >10-<20-year-old group and 20-30-year-old group were 0.293 (95% CI: 0.189-0.456) , 0.413 (95% CI: 0.256-0.666) and 0.318 (95% CI: 0.204-0.497) times, respectively. Conclusion:The lens opacity rate of radiation workers is related to age and working age.Attention should be paid to high-age and long-term radiation workers to ensure their health.

Objective: To analyze the clinical characteristics of streptococcal toxic shock syndrome (STSS) caused by Streptococcus pyogenes (S. pyogenes) in the third trimester to improve clinical awareness of this disease. Methods: A retrospective study was conducted to analyze the clinical data of two patients with STSS caused by S. pyogenes in Jinan Maternal and Child Health Care Hospital and nine reported cases of healthy pregnant women infected with S. pyogenes at 28-42 gestational weeks with detailed data retrieved from Chinese National Knowledge Infrastructure and PubMed database from January 1997 to December 2018. Results: The two cases admitted to our hospital were both multiparas, with onset in winter and no specific symptoms in early stage. Disseminated intravascular coagulation (DIC) was developed in both cases on admission. In one case, the fetal heart rate was reduced and disappeared soon after admission. The other patient was diagnosed as stillbirth on admission. Both patients died and blood culture revealed infection of group A streptococcus. Nine previous cases were reported in one Chinese and five English articles. No high-risk pregnancy or premature rupture of membranes was reported in these 11 cases. Among the 11 cases, ten were positive for S. pyogenes indicated by blood or tissue culture and one was positive for streptococcal toxin. Ten cases had high fever and three presented with respiratory symptoms in early stage. Abdominal pain and watery diarrhea were common symptoms and all patients developed multiple organ dysfunction and DIC. Cases occurred in winter or spring were more common. Nine women died within 36 h after the onset of fulminant symptoms. Only two survived and hospitalized for 90 d and 25 d, respectively, after emergent cesarean section indicated by reduced fetal heart rate. Unfortunately, both neonates died after birth. For the babies, there were seven intrauterine fetal deaths, one stillbirth and three live births, but only one survived (whose mother developed respiratory cardiac arrest 90 min after delivery). Conclusions STSS caused by S. pyogenes in pregnant women exacerbates rapidly with a high mortality. Early identification of clinical manifestations and rapid progress of the disease are crucial for early diagnosis and treatment, which may help improve maternal and fetal outcomes.