Iron overload is strongly associated with heart disease. Ferroptosis is a new form of regulated cell death indicated in cardiac ischemia-reperfusion (I/R) injury. However, the specific molecular mechanism of myocardial injury caused by iron overload in the heart is still unclear, and the involvement of ferroptosis in iron overload-induced myocardial injury is not fully understood. In this study, we observed that ferroptosis participated in developing of iron overload and I/R-induced cardiomyopathy. Mechanistically, we discovered that Parkin inhibited iron overload-induced ferroptosis in cardiomyocytes by promoting the ubiquitination of long-chain acyl-CoA synthetase 4 (ACSL4), a crucial protein involved in ferroptosis-related lipid metabolism pathways. Additionally, we identified p53 as a transcription factor that transcriptionally suppressed Parkin expression in iron-overloaded cardiomyocytes, thereby regulating iron overload-induced ferroptosis. In animal studies, cardiac-specific Parkin knockout mice (Myh6-CreER ^T2 /Parkin ^fl/fl ) fed a high-iron diet presented more severe myocardial damage, and the high iron levels exacerbated myocardial I/R injury. However, the ferroptosis inhibitor Fer-1 significantly suppressed iron overload-induced ferroptosis and myocardial I/R injury. Moreover, Parkin effectively protected against impaired mitochondrial function and prevented iron overload-induced mitochondrial lipid peroxidation. These findings unveil a novel regulatory pathway involving p53-Parkin-ACSL4 in heart disease by inhibiting of ferroptosis.

To investigate the correlation between hepatic lipid accumulation and the metabolic profiles of free fatty acids(FFAs), tricarboxylic acid (TCA) cycle, and ketone body in alcoholic fatty liver disease (AFLD), a chronic plus acute alcohol feeding model (Gao-Binge model) was employed using C57BL/6N mice to simulate different stages of AFLD. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was employed to measure the levels of FFAs, TCA cycle intermediates, and ketone bodies in mouse liver tissue and plasma, followed by Pearson correlation analysis. The study revealed that both acute and chronic models showed significant increases in total FFAs, saturated FFAs and short-chain FFAs, as well as β-hydroxybutyric acid(HDBT) in plasma and liver, indicating FFA metabolic profile disturbances in the Gao-Binge model. Moreover, in both models, acetic acid (AA), 2-Methylbutyric acid (2-meBA), and HDBT displayed strong positive correlations with hepatic injury markers in plasma and liver samples (for instance, in the acute model plasma data, r = 0.834, 0.699, 0.818, P<0.05), while pyruvic acid (PRA) showed a strong negative correlation (r = −0.66, P<0.05). These findings suggest that FFAs, TCA cycle, and ketone body metabolism are disrupted in the alcoholic liver disease in mice model, and metabolites such as AA, 2-meBA, HDBT and PRA may serve as potential biomarkers for AFLD, which would be helpful in the diagnosis and treatment of this disease.

Cardiovascular diseases are the leading cause of death worldwide,and hemodynamics plays a significant role in understanding the mechanisms of these diseases,predicting disease progression,and guiding treatment strategies.Traditional methods for obtaining personalized hemodynamic parameters in clinical settings have numerous limitations,while the rise of deep learning technology has brought new opportunities for their computation.This review focuses on the application of deep learning in obtaining hemodynamic parameters in clinical settings,covering its progress in computational fluid dynamics preprocessing,hemodynamic computation(data-driven and PINN method),and magnetic resonance anagiography.It analyzes the advantages and challenges of each method and discusses future development directions,aiming to provide a reference for research on obtaining hemodynamic parameters in clinical settings using artificial intelligence method.

Cardiovascular diseases are the leading cause of death worldwide,and hemodynamics plays a significant role in understanding the mechanisms of these diseases,predicting disease progression,and guiding treatment strategies.Traditional methods for obtaining personalized hemodynamic parameters in clinical settings have numerous limitations,while the rise of deep learning technology has brought new opportunities for their computation.This review focuses on the application of deep learning in obtaining hemodynamic parameters in clinical settings,covering its progress in computational fluid dynamics preprocessing,hemodynamic computation(data-driven and PINN method),and magnetic resonance anagiography.It analyzes the advantages and challenges of each method and discusses future development directions,aiming to provide a reference for research on obtaining hemodynamic parameters in clinical settings using artificial intelligence method.

Objective To understand the time change trend and epidemiological characteristics of occupational exposure of medical personnel in a general class A tertiary hospital in Shenzhen,and to provide practical guidance for occupational protec-tion management practice and optimization of occupational exposure prevention and control strategies.Methods The data of 813 cases of occupational exposure reported from 2017 to 2022 in our hospital were retrospectively investigated and analyzed,inclu-ding the basic information of exposure sources,exposed persons and exposure events.Results During 2017 to 2022,the number of occupational exposure cases showed a trend of first increase and then fluctuation,with the largest number of occupational expo-sure cases occurring in the third quarter and 8-11 o'clock of the day.Among the 813 cases of occupational exposure,569 were female(69.99％),nurses accounted for the highest proportion(391,48.09％),the number of people with 1-5 years of working life experienced occupational exposure was the highest(343,42.19％),and staff with junior professional titles accounted for the highest proportion(324,39.85％).Most were exposed for the first time(621,76.38％).Most of the occupational exposure occurred in the ward(301 cases,37.02％),82.41％was acute injuries,the upper limbs such as fingers,arms,etc.,the high-est exposure ratio(87.21％),most of the secondary exposure(49.45％).In 410 cases(50.43％),the primary sources of oc-cupational exposure were hepatitis B(255 cases,62.20％)and syphilis(119 cases,29.02％).Conclusion The key to effec-tively reduce the occurrence of occupational exposure and its adverse consequences is to implement key management for key groups,key places and key times,emphasize the importance of occupational safety education,and actively carry out relevant training and emergency drills.

Objective To understand the time change trend and epidemiological characteristics of occupational exposure of medical personnel in a general class A tertiary hospital in Shenzhen,and to provide practical guidance for occupational protec-tion management practice and optimization of occupational exposure prevention and control strategies.Methods The data of 813 cases of occupational exposure reported from 2017 to 2022 in our hospital were retrospectively investigated and analyzed,inclu-ding the basic information of exposure sources,exposed persons and exposure events.Results During 2017 to 2022,the number of occupational exposure cases showed a trend of first increase and then fluctuation,with the largest number of occupational expo-sure cases occurring in the third quarter and 8-11 o'clock of the day.Among the 813 cases of occupational exposure,569 were female(69.99％),nurses accounted for the highest proportion(391,48.09％),the number of people with 1-5 years of working life experienced occupational exposure was the highest(343,42.19％),and staff with junior professional titles accounted for the highest proportion(324,39.85％).Most were exposed for the first time(621,76.38％).Most of the occupational exposure occurred in the ward(301 cases,37.02％),82.41％was acute injuries,the upper limbs such as fingers,arms,etc.,the high-est exposure ratio(87.21％),most of the secondary exposure(49.45％).In 410 cases(50.43％),the primary sources of oc-cupational exposure were hepatitis B(255 cases,62.20％)and syphilis(119 cases,29.02％).Conclusion The key to effec-tively reduce the occurrence of occupational exposure and its adverse consequences is to implement key management for key groups,key places and key times,emphasize the importance of occupational safety education,and actively carry out relevant training and emergency drills.

OBJECTIVES: This study aimed to investigate the feasibility of measuring the soft tissue height of bone cristae around implant by digital method. METHODS: A total of 36 patients with dental implants were selected from the Dental Medicine Center of the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital) from August 2022 to December 2022. A total of 43 dental implants were enrolled. All postoperative cone beam CT (CBCT) imaging data and intraoral digital impressions obtained before surgery were immediately obtained by the patients on the day of completion of oral implant surgery and they were imported into oral implant surgery planning software for image fitting. Then, virtual implants of the same specification were placed in the planting area, and the implant position was adjusted to overlap with the implant shadow in the CBCT image. Supracrestal tissue height (STH) was measured at the implant view interface (digital group). During the operation, implant holes were prepared step by step in accordance with the standard preparation method, and implants were implanted. The upper edge of the implant was flushed with the crest of the alveolar ridge. STH was measured by perio-dontal probing (periodontal probe group). Paired t-test was used to compare the STH differences between the digital and periodontal probe groups. Bland-Altman test was used to analyze the consistency of the two methods. Intra-group correlation coefficient (ICC) was used to verify the reliability of the results measured by different surveyors using di-gital methods. RESULTS: No statistical significance was observed in the STH difference between the two methods (P>0.05). Bland-Altman test showed good consistency between the two methods, but the measurement of mandibular posterior teeth showed that the results of periodontal probe were greater than those of digital method. The ICC and 95%CI of the STH results measured digitally by different surveyors are 0.992 (0.986-0.996). CONCLUSIONS The digital me-thod is in good agreement with the periodontal probe method in measuring the soft tissue height of the bone cristae around the implant.
Humans ; Alveolar Process/diagnostic imaging* ; Cone-Beam Computed Tomography/methods* ; Dental Implants ; Feasibility Studies ; Reproducibility of Results ; Tooth/diagnostic imaging*

Soft tissue sarcoma (STS) is a highly heterogeneous group of malignant tumors originating from mesenchymal tissues. The most common sites of STS are limbs (45%), viscera (21%) and retroperitoneum (17%). The incidence of head and neck soft tissue sarcomas (HNSTS) is the lowest (5%) compared with other areas of the body. Due to numerous functional organs and delicate and complex anatomical structures of the head and neck, it is often difficult to perform radical surgical treatment. Therefore, radiotherapy plays an important role in the treatment of HNSTS. Due to its low incidence, radiotherapy for HNSTS has been rarely studied and captivated little attention. In this article, the present situation and clinical evidence of radiotherapy for HNSTS were summarized, aiming to provide reference for clinical practice.

Objective:To investigate the effects of sustained low-efficiency hemodialysis combined with hemoperfusion on routine blood indicators and inflammatory factors in patients with sepsis-induced acute kidney injury.Methods:Eighty-six patients with sepsis-induced acute kidney injury who received treatment in Yantai Laiyang Central Hospital from April 2018 to April 2021 were included in this study. They were randomly divided into an observation group and a control group, with 43 cases in each group. All patients received conventional supportive treatment. The control group received continuous renal replacement therapy and the observation group received sustained low-efficiency dialysis combined with hemoperfusion. Before and after treatment, routine blood indicators [hemoglobin (Hb), white blood cell (WBC) count, platelet (PLT) count, albumin (Alb)], inflammatory factors [interleukin-6 (IL-6), C-reactive protein (CRP), tumor necrosis factor-α (TNF-α), procalcitonin PCT)], renal function indicators [serum creatinine (Scr), blood urea nitrogen (BUN)], The Acute Physiology and Chronic Health Evaluation (APACHE) II score, length of hospital stay, and 28-day mortality rate were compared between the two groups.Results:Before treatment, there were no significant differences in Hb, WBC count, PLT count, Alb, IL-6, CRP, TNF-α, PCT, Scr, BUN, and APACHE II score between the two groups ( t = 0.04, 0.95, 0.23, 0.67, 1.54, 0.75, 0.98, 0.23, 1.04, 0.44, 0.07, all P > 0.05). After treatment, serum levels of Hb and Alb in each group were significantly increased compared with those before treatment. After treatment, serum levels of Hb and Alb in the observation group were (105.29 ± 15.80) g/L, (39.25 ± 7.87) g/L, respectively, which were significantly higher than (98.55 ± 12.93) g/L and (33.38 ± 7.29) g/L in the control group ( t = 2.16, 3.58, both P < 0.05). After treatment, WBC count, PLT count, IL-6, CRP, TNF-α, PCT, Scr, and BUN levels, and APACHE II score in each group were significantly decreased compared with those before treatment. After treatment, WBC count, PLT count, IL-6, CRP, TNF-α, PCT, Scr, and BUN levels, and APACHE II score in the observation group were (10.28 ± 1.87) × 10 9/L, (129.32 ± 14.79) × 10 9/L, (59.00 ± 12.77) μg/L, (22.41 ± 5.01) mg/L, (28.41 ± 4.77) μg/L, (18.41 ± 2.78) μg/L, (162.01 ± 21.04) μmol/L, (7.38 ± 1.17) mmol/L, (11.28 ± 3.60) points, respectively, which were significantly lower than (12.32 ± 2.27) × 10 9/L, (137.39 ± 18.30) × 10 9/L, (79.35 ± 14.36) μg/L, (29.31 ± 6.37) mg/L, (34.33 ± 5.38) μg/L, (22.32 ± 3.35) μg/L, (184.06 ± 24.03) μmol/L, (9.87 ± 1.66) mmol/L, (14.65 ± 3.38) points in the control group ( t = 4.54, 2.24, 6.94, 5.58, 5.39, 5.89, 4.52, 8.03, 4.47, all P < 0.05). The length of intensive care unit stay in the observation group was significantly shorter than that in the control group [(11.63 ± 2.18) days vs. (14.07 ± 2.71) days, t = 4.60, P < 0.05]. There was no significant difference in 28-day mortality rate between the two groups ( χ2 = 1.36, P > 0.05). Conclusion:Sustained low-efficiency dialysis combined with hemoperfusion is effective on sepsis-induced acute kidney injury. The combined therapy can improve routine blood indicators, inhibit inflammatory reactions, promote renal function recovery, and decrease the mortality rate to a certain degree.

Objective: To investigate the effect of Δ40p53, an alternative spliced isoform of p53 lacking the N-ter minus, on the pro-apoptotic function of p53. Methods: The wild-type p53 was ectopically expressed in HCT116-p53^-/- (endogenous Δ40p53 expression), HCT116-p53^{+ /+} (wild-type p53) and H1299 (p53-null) cells by adenoviral delivery, while Δ40p53 plasmid were transfected into these cells to overexpress Δ40p53. The levels of Δ40p53 and p53 mRNA were detected by reverse transcription-polymerase chain reaction (RT-PCR) and quantitative PCR. The expression of related proteins was deter mined by Western blotting. The interaction of p53 and Δ40p53 was observed by co-immunoprecipitation assay. Calcein-AM/propidium iodide (PI) staining and flow cytometry were used to detect the apoptotic rate of tested cells in each group. Results: HCT116-p53^-/- cells expressed endogenous Δ40p53 isoform. Neither transcription nor protein expression of wild-type p53 was interfered by the increased expression of Δ40p53. Full length p53 and Δ40p53 could bind to each other. Calcein-AM/PI staining showed that the apoptotic rates of H1299-Control, HCT116-p53^-/- -Control, H1299+ p53, HCT116-p53^-/-+ p53, H1299+ oxaliplatin (Oxa), HCT116-p53^-/-+ Oxa, H1299+ p53+ Oxa and HCT116-p53^-/-+ p53+ Oxa groups were (2.50±0.47)%, (2.40±0.32)%, (5.20±0.58)%, (4.10±0.18)%, (22.40±1.73)%, (19.30±1.11)%, (29.90±1.15)% and (39.30±2.26)%, respectively. It was statistically significant between H1299+ p53+ Oxa and HCT116-p53^-/-+ p53+ Oxa groups (t=3.721, P=0.0205). Moreover, the apoptotic rates of H1299-Control, H1299+ Δ40p53, H1299+ p53, H1299+ p53+ Δ40p53, H1299+ Oxa, H1299+ Δ40p53+ Oxa, H1299+ p53+ Oxa and H1299+ p53+ Δ40p53+ Oxa groups were (2.60±0.35)%, (2.20±0.17)%, (4.80±0.49)%, (4.90±1.10)%, (20.30±1.10)%, (19.60±1.45)%, (27.90±1.39)%, (35.20±1.43)%, respectively. Furthermore, flow cytometry assay showed that the apoptotic rates of above cells were (2.70±0.32)%, (2.20±0.24)%, (4.60±0.48)%, (3.90±0.67)%, (19.30±1.11)%, (17.70±0.66)%, (28.30±2.76)% and (37.50±1.51)%, respectively. H1299+ p53+ Δ40p53+ Oxa cells showed higher cell apoptosis than H1299+ p53+ Oxa cells (t=2.930, P=0.042). Conclusion Δ40p53 isoform can bind to full-length p53, and enhance its pro-apoptotic function in tumor cells.