OBJECTIVE:Disorders in iron metabolism increase the risk of type 2 diabetes mellitus.Hepcidin play an important role in maintaining iron homeostasis in the body,but its level increases with increased inflammation.Changes in hepcidin and iron homeostasis and the extent of their association with inflammation in people with and without type 2 diabetes mellitus are unknown.Meta-analysis was used to evaluate the effect of inflammation on serum hepcidin and iron metabolism related parameters in patients with type 2 diabetes mellitus.METHODS:CNKI,PubMed,Web of Science and EBSCOhost databases were searched by computer to collect observational studies related to inflammatory index and hepcidin in patients with type 2 diabetes mellitus.The search time was from September 1,2000 to September 30,2024.Three researchers independently screened the literature,extracted data and evaluated the quality of the included literature.Meta-analysis was performed by Review Manager 5.3,Stata 17.0 and GraphPad Prism 8.0.2 software.RESULTS:A total of 15 articles(17 studies)involving 3 159 participants,including 1 357 patients with type 2 diabetes mellitus,were included.Meta-analysis results showed that compared with the control group,patients with type 2 diabetes mellitus had higher levels of serum hepcidin[standardized mean difference(SMD)=0.35,95％confidence interval(CI)(0.05,0.65),P＜0.05],serum ferritin(SMD=0.49,95％CI(0.21,0.78),P＜0.01)and serum transferrin(SMD=0.19,95％CI(0.00,0.37),P＜0.05).Subgroup analysis results indicated that inflammation had a significant effect on serum hepcidin(SMD=0.76,95％CI(0.17,1.34),P＜0.05)and serum ferritin(SMD=0.77,95％CI(0.06,1.47),P＜0.05)in patients with type 2 diabetes mellitus.CONCLUSION:Hepcidin concentration is positively correlated with type 2 diabetes mellitus.Inflammation is one of the risk factors of type 2 diabetes mellitus.Early prevention of inflammation has certain significance in preventing iron metabolism disorder in patients with type 2 diabetes mellitus.

OBJECTIVE:Disorders in iron metabolism increase the risk of type 2 diabetes mellitus.Hepcidin play an important role in maintaining iron homeostasis in the body,but its level increases with increased inflammation.Changes in hepcidin and iron homeostasis and the extent of their association with inflammation in people with and without type 2 diabetes mellitus are unknown.Meta-analysis was used to evaluate the effect of inflammation on serum hepcidin and iron metabolism related parameters in patients with type 2 diabetes mellitus.METHODS:CNKI,PubMed,Web of Science and EBSCOhost databases were searched by computer to collect observational studies related to inflammatory index and hepcidin in patients with type 2 diabetes mellitus.The search time was from September 1,2000 to September 30,2024.Three researchers independently screened the literature,extracted data and evaluated the quality of the included literature.Meta-analysis was performed by Review Manager 5.3,Stata 17.0 and GraphPad Prism 8.0.2 software.RESULTS:A total of 15 articles(17 studies)involving 3 159 participants,including 1 357 patients with type 2 diabetes mellitus,were included.Meta-analysis results showed that compared with the control group,patients with type 2 diabetes mellitus had higher levels of serum hepcidin[standardized mean difference(SMD)=0.35,95％confidence interval(CI)(0.05,0.65),P＜0.05],serum ferritin(SMD=0.49,95％CI(0.21,0.78),P＜0.01)and serum transferrin(SMD=0.19,95％CI(0.00,0.37),P＜0.05).Subgroup analysis results indicated that inflammation had a significant effect on serum hepcidin(SMD=0.76,95％CI(0.17,1.34),P＜0.05)and serum ferritin(SMD=0.77,95％CI(0.06,1.47),P＜0.05)in patients with type 2 diabetes mellitus.CONCLUSION:Hepcidin concentration is positively correlated with type 2 diabetes mellitus.Inflammation is one of the risk factors of type 2 diabetes mellitus.Early prevention of inflammation has certain significance in preventing iron metabolism disorder in patients with type 2 diabetes mellitus.

ObjectiveTo investigate the clinical features of tumor-induced acute pancreatitis （TIAP）， to construct and validate a predictive model for TIAP， and to provide help for early identification in clinical practice. MethodsA retrospective analysis was performed for the clinical data of 3 051 patients with acute pancreatitis （AP） who were admitted to The First Affiliated Hospital of Xinjiang Medical University from January 2020 to January 2026， among whom there were 72 patients with TIAP. To reduce class imbalance， 216 patients with non-tumor-related AP （2 979 patients） were randomly selected as conventional group using sex-stratified sampling， resulting in a cohort of 288 patients， and this cohort was randomly divided into a training set with 201 patients and a test set with 87 patients at a ratio of 7∶3. The two groups were compared in terms of general information and laboratory markers. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. Recursive feature elimination and least absolute shrinkage and selection operator regression were used for screening of characteristic variables， and five machine learning models were constructed， i.e.， logistic regression model， random forest model， support vector machine model， extreme gradient boosting model， and light gradient boosting machine model. The receiver operating characteristic curve and the precision-recall curve were used to assess model performance； the calibration curve was used to assess goodness of fit； decision curve analysis was used to evaluate clinical applicability and practicality； Shapley additive explanations were used to assess model interpretability. ResultsIn the training set of 201 patients， there were 52 patients （25.9%） in the TIAP group， and in the test set of 87 patients， there were 20 patients （23.0%） in the TIAP group. Compared with the conventional group， the TIAP group had a significantly higher proportion of patients with pancreatic duct dilatation （χ²=79.474， P<0.05）， a significantly higher age （Z=-5.838， P<0.05）， and significantly lower levels of white blood cell count （Z=5.630， P<0.05）， amylase （Z=2.606， P<0.05）， hemoglobin （Z=5.038， P<0.05）， and neutrophil percentage （Z=5.269， P<0.05）， as well as a lower level of direct bilirubin （Z=0.936， P>0.05）. The five machine learning models constructed based on these seven variables had a certain predictive ability， among which the logistic regression model had the best performance in the test set， with an area under the curve of 0.893 （95% confidence interval： 0.821 — 0.953）， an average precision of 0.654 in the precision-recall curve， good calibration， and good clinical benefits based on the decision curve analysis. ConclusionThe predictive model for TIAP based on pancreatic duct dilatation， age， white blood cell count， amylase， hemoglobin， neutrophil percentage， and direct bilirubin shows good predictive performance and can provide important guidance for the early diagnosis of TIAP.

Resveratrol (RES), a natural polyphenolic phytochemical, has been suggested as a putative anti-aging molecule for the prevention and treatment of Alzheimer's disease (AD) by the activation of sirtuin 1 (Sirt1/Sir2). In this study, we tested the effects of RES and Sirt1/Sir2 on sleep and courtship memory in a Drosophila model by overexpression of amyloid precursor protein (APP), whose duplications and mutations cause familial AD. We found a mild but significant transcriptional increase of Drosophila Sir2 (dSir2) by RES supplementation for up to 17 days in APP flies, but not for 7 days. RES and dSir2 almost completely reversed the sleep and memory deficits in APP flies. We further demonstrated that dSir2 acts as a sleep promotor in Drosophila neurons. Interestingly, RES increased sleep in the absence of dSir2 in dSir2-null mutants, and RES further enhanced sleep when dSir2 was either overexpressed or knocked down in APP flies. Finally, we showed that Aβ aggregates in APP flies were reduced by RES and dSir2, probably via inhibiting Drosophila β-secretase (dBACE). Our data suggest that RES rescues the APP-induced behavioral deficits and Aβ burden largely, but not exclusively, via dSir2.
Animals ; Alzheimer Disease/metabolism* ; Amyloid beta-Peptides ; Amyloid beta-Protein Precursor/metabolism* ; Drosophila/physiology* ; Drosophila Proteins/metabolism* ; Resveratrol/pharmacology* ; Sirtuin 1 ; Sleep

Objective:To establish a metaheuristics-based automatic radiotherapy treatment planning method (ATP-STAR) and verify its effectiveness.Methods:The main process of the ATP-STAR method was as follows. First, the optimization parameters were vectorized for encoding and corrected using Gaussian convolution. Then, the candidate optimization parameter vector set was selected through simulated annealing. Finally, the optimal combination of optimization parameters was determined by combining the field fluence optimization to achieve automatic trial-and-error. Twenty cases with large individual differences in tumors were selected for testing. Clinical physicists with more than five years of experience were invited to perform manual planning. Both the manual and ATP-STAR plans were made utilizing the matRad open source software for radiation treatment planning, with the fields and prescribed doses consistent with those of the clinical treatment plans. The dosimetric differences of target volumes and organs at risk between the ATP-STAR and manual plans for different diseases were analyzed.Results:For the target volumes, the ATP-STAR plans showed superior homogeneity compared with the manual plans (brain tumors: z = 2.28, P = 0.022; lung cancers: z = 2.29, P = 0.022; liver cancers: z = 2.11, P = 0.035). The conformability of the ATP-STAR plans was comparable to that of the manual plans for brain tumors and liver cancer and was slightly lower than that of the manual plans for lung cancer ( z = 2.29, P = 0.022). The comparison result of doses to organs at risk (OARs) between the manual plans and STAR plans were as follows. For OARs of brain tumors, the ATP-STAR plans decreased the mean left lens Dmean from 2.19 Gy to 1.76 Gy ( z = 2.28, P = 0.022), decreased left optic nerve Dmean from 11.36 Gy to 10.22 Gy ( z = 2.28, P = 0.022), decreased right optic nerve Dmax from 32.92 Gy to 29.97 Gy ( z = 2.10, P = 0.036), and decreased pituitary Dmax from 39.53 Gy to 35.21 Gy ( z = 2.29, P = 0.022). For OARs of lung cancer, the ATP-STAR plans decreased the mean spinal cord Dmax from 38.00 Gy to 31.17 Gy ( z = 2.12, P = 0.034), decreased the bilateral lungs Dmean from 8.51 Gy to 8.07 Gy ( z = 2.29, P = 0.022), and decreased cardiac Dmean from 3.21 Gy to 2.69 Gy ( z =2.29, P = 0.022). For OARs of liver cancer, the ATP-STAR plans decreased spinal cord Dmax from 18.19 Gy to 14.76 Gy ( z = 2.11, P = 0.035), decreased liver Dmean from 15.61 Gy to 14.45 Gy ( z = 2.11, P = 0.035), and decreased kidneys Dmean from 4.76 Gy to 4.04 Gy ( z = 2.10, P = 0.036). Conclusions:The proposed ATP-STAR method relies little on the experience of manual planning and thus is easy to be widely applied. This method is expected to improve the quality and consistency of IMRT plans and save clinical labor and time costs.

Objective:To investigate the effects of off-target isocenter plans with different off-target distances on the plan quality and delivery accuracy of stereotactic body radiotherapy (SBRT) for lung cancer, aiming to provide a reference for the clinical plan design of SBRT for lung cancer.Methods:For 10 lung cancer patients treated with SBRT, isocenter reference plans were designed by setting the plan isocenters at the mass centers of tumors and 60 off-target isocenter plans by setting the isocenters at distances of 1, 3, 5, 8, and 10 cm from the mass centers of tumors. The dosimetric differences between the off-target isocenter plans and the reference plans. Subsequently was analyzed, under different positional errors (0-5 mm). The gamma pass rates (GPRs) of these plans were measured using the Octavius 4D high-resolution dose verification system, and 240 verifications of these plans were completed. The robustness of the delivery accuracy of the reference plans and off-target isocenter plans were analyzed under different positional errors.Results:The off-target isocenter plans yielded slightly worse dose gradient indices than the isocenter reference plans, but there was no statistically significant differences. With an increase in the off-target distance, the mean lung dose (MLD), V20 of normal lungs, as well as the Dmax of bronchi, showed slight upward trends. Compared with the isocenter reference plans, the MLD of the off-target isocenter plans increased by 0.8%, 0.8%, and 1.9% at off-target distances of 1, 3, and 10 cm, respectively, with statistically significant differences ( z = -2.34 to -1.99, P < 0.05), and the V20 of the off-target isocenter plans increased by 2.0%, 2.5%, and 3.7% at off-target distances of 1, 5, and 10 cm, respectively, with statistically significant differences ( z =-2.11 to -1.99, P < 0.05). In the case of a positional error of up to 5 mm, the GPRs of plans with off-target distances of 5 cm and above decreased by more than 1.0% on average and up to a maximum of 3.5%, showing statistically significant differences ( z = 2.13-2.75, P < 0.05). Conclusions:Compared to the reference plans, the off-target isocenter plans showed slightly lower dosimetric quality and less robust delivery accuracy under different positional errors. Therefore, it is necessary to avoid the plans and treatment with too large off-target distances (≥ 5 cm) as far as possible for SBRT of lung cancer.

Objective:To develop the screening checklist of brief interview for autism disorder suitable for Chinese children and evaluate its reliability and validity.Methods:Based on existed research results and diagnostic criteria for autism spectrum disorder of DSM-5, the screening checklist of brief interview for autism spectrum disorder(SCAD) was developed. A sample of 238 children were selected for investigation and 28 of them were retested for test-retest reliability with 2-4 weeks interval. Cronbach's α coefficient, split-half correlation coefficient, test-retest reliability, and evaluator consistency were used to test the reliability of the scale. Content validity, construct validity and empirical validity were used to test the validity of the scale.All statistical analysis were conducted by SPSS 22.0 and AMOS 17.0.Results:The SCAD contains two components and six dimensions, with a total of 25 items. The Cronbach's α coefficient was 0.936 for the total scale and were 0.938, 0.771 for the two components. The split-half coefficient for the total scale and the two components were 0.962, 0.938 and 0.794. The test-retest reliability for the total scale and the two components were 0.806, 0.795 and 0.766. The Kendall coefficient for the total scale and the two components were 0.968, 0.982 and 0.950. The SCAD item-level content validity index (I-CVI) ranged from 0.66 to 0.98 and the Kappa value ranged from 0.66 to 0.98. The scale-level content validity S-CVI/UA and S-CVI/Ave were 0.89 and 0.94. The correlations between SCAD and calibration tests such as ABC, CARS and M-CHAT were 0.54, 0.53 and 0.87, and the correlation coefficients with the M-CHAT-R/F between the two components were 0.87 and 0.76 respectively (both P<0.01). The result of CFA demonstrated that the model fitted the data with well construct validity(χ 2/ df=0.910, RMR=0.049, AGFI=0.974, RMSEA=0.010, PNFI=0.530, PCFI=0.533, NFI=0.994, RFI=0.988, CFI=1.000). The correlation coefficient of the two components was 0.88 and that with the total scale were 0.97 and 0.90, each dimensions with the total scale ranged from 0.72 to 0.93. Conclusion:The SCAD has a good reliability and validity, and it can be used as a clinical screening tool for children with autism spectrum disorder.

Objective To investigate the optimal thresholds of the passing rate with different gamma measurement criteria (percent dose difference/DTA) based on the Delta 4 three-dimensional dosimetric verification system in the verification of volumetric modulated arc-therapy (VMAT) plan for cervical cancer.Methods Thirty clinically-approved dual-arc VMAT plans using the RapidArcTM (Varian Medical Systems Inc.) for cervical cancer were randomly selected.The gamma analysis and dose-volume histogram (DVH) evaluation were performed using Delta 4.All the plans were classified according to the following two criteria:1.If the absolute percentage dose errors of all specific dosimetry indices on the DVH were less than 5％,the plan was regarded as clinically acceptable.2.If the gamma passing rate was 90％ or 95％ under the criteria of 2％/2 mm and 3％/3 mm,the plan was regarded as acceptable.The sensitivity and specificity analyses were conducted based on the classification results and the receiver operating characteristic (ROC) curve was plotted.By calculating the Youden Index,the optimal thresholds under different Gamma criteria (global and local 2％/2 mm and 3％/3 mm) were investigated.Finally,the ability of distinguishing the plan was clinically acceptable or not between the conventional and optimal thresholds was quantitatively compared according to the sensitivity and specificity analyses.Results The optimal thresholds under the global 3％/3 mm and 2％/2 mm criteria were 98.3％ and 87.05％;and 97.55％ 、86.05％ for the local gamma analysis.Compared with the conventional thresholds,the sensitivity of the optimal thresholds was 0.93 by using the global and local gamma analyses under the 3％/3 mm criterion.Under the 2％/2 mm criterion,the sensitivity of the optimal thresholds was 0.65 and the specificity was 0.49 by using the global gamma analysis.The sensitivity was 0.7 and the specificity was 0.46 by using the local gamma analysis,suggesting that the sensitivity and the specificity were more balanced under the 2％/2 mm criterion.Conclusions Application of the optimal thresholds in the verification of VMAT plans can maintain the balance between the sensitivity and specificity,prevent the harm of clinically unacceptable plans to patients to certain extent and reduce the probability of increasing the daily work load for physicists due to the misjudgement of clinically acceptable plans.

The disability and mortality of acute ischemic stroke are very high,which brings great burden to family and society.Timely and effective vascular recanalization is possible to make a good prognosis for patients.Since 2008,the intravenous thrombolytic therapy for patients with acute ischemic stroke within the time window has become the recommended treatment scheme of the guidelines in different countries.However,intravenous thrombolysis has the disadvantages of low vascular recanalization rate,narrow treatment time window,and relatively more contraindications,which limits its clinical application.In recent years,with the appearance of stent-like thrombectomy devices,mechanical thrombectomy within the time window has gradually become the mainstream treatment scheme for acute ischemic stroke.The latest guidelines for stroke treatment recommend the use of intravenous thrombolytic bridging endovascular thrombectomy within the time window.However,it is still unclear whether intravenous thrombolysis will increase the rate of vascular recanalization,improve clinical outcome,and increase the risk of intracranial hemorrhage before thrombectomy.This article reviews the vascular recanalization rate,clinical outcome,and intracranial hemorrhage risk of bridging therapy and direct mechanical thrombectomy.

Objective To investigate the optimal gamma passing rate of intensity-modulated radiotherapy (IMRT) dosimetric verification in the treatment of esophageal cancer using a three-dimensional dose verification system EDoseTM.Methods Twenty five esophageal cancer patients treated by 7-field IMRT were retrospectively reviewed.Measured dose distribution were reconstructed on CT image and evaluated by gamma analysis and DVH metrics using the EDoseTM system.Plans with DVH metrics dose difference ＜ 5％ or with gamma passing ＞ 90％ under 3％/3 mm criteria were accepted.The optimal gamma passing rate for criteria of 5％/3 mm,3％/3 mm,2％/2 mm were investigated by drawing the receiver operating characteristic (ROC) curves and calculating the Youden Index.The sensitivity and specificity of the these optimal thresholds in the plan verification were also analyzed.Results The optimal thresholds for global gamma indices with 5％/3 mm,3％/3 mm,2％/2 mm were 98.66％,94.84％,78.56％,respectively.In the 90％ common threshold,The sensitivity and specificity for common 90％ threshold and optimal threshold under 3％/3 mm criteria were 0.17 vs.0.85 and t 0.84 vs.0.27,respectively.The sensitivity and specificity were 0.89,0.65 and 0.23,0.47 for optimal thresholds under 5％/3 mm and 2％/2 mm criteria,respectively.Conclusions The sensitivity of optimal threshold gamma passing rate improved significantly compared with the common threshold (90％) at 3％/3 mm criteria.,The sensitivity and the specificity were more balanced at the 2％/2 mm criteria compared with those at 3％/3 mm criteria.