Rotor syndrome is an autosomal recessive disorder of bilirubin metabolism， and it is difficult to diagnose and differentiate due to its extreme rarity and a lack of specific clinical manifestations. In recent years， the development of genetic testing technology has enabled the early diagnosis of atypical patients. Literature search shows that only 19 cases with detailed clinical and genetic data have been reported. This article reports a case of a pregnant woman with an increase in direct bilirubin during pregnancy who was diagnosed with Rotor syndrome based on a bi-allelic mutation in the SLCO1B1 and SLCO1B3 genes and delivered successfully at last， and a retrospective analysis was performed for related articles， in order to facilitate the early accurate diagnosis of patients with Rotor syndrome and guide medications from the perspective of genetic mechanisms.

Objective:To study the anti-inflammatory and protective effects of electroacupuncture on rats with cardiopulmo-nary resuscitation based on cholinergic anti-inflammatory pathway(CAP).Methods:Sixty male SD rats were randomly divided into sham operation group(Sham group),cardiopulmonary resuscitation group,electroacupuncture group,antagonist of α7-nicotinic ace-tylcholine receptor(α7nAChR)α Bungarus toxin group(αBGT group,1 μg/kg)and agonist of α7nAChR 3-(2,4-dimethoxybenzyli-dene)anabaseine(GTS-21)group(5 mg/kg),with 12 rats in each group.Model of cardiac arrest was established by inducing ventric-ular fibrillation in rats with percutaneous epicardial electrical stimulation,and routine resuscitation was performed,the defibrillation times,cardiopulmonary resuscitation duration and 72 h survival rate of rats in each group were observed and recorded.Neurological damage of rats in each group was scored(NDS score).Levels of inflammatory factors TNF-α,IL-1β and IL-6 in serum,heart,lung and brain of rats were measured by ELISA.HE staining was applied to evaluate the degree of tissue damage of heart,lung and brain tis-sues of rats in each group.Expressions of α7nAChR,NF-κB/MAPKs signal pathway related proteins in heart,lung and brain of rats in each group were detected by Western blot.Results:Compared with Sham group,the number of defibrillations,duration of cardiopul-monary resuscitation,NDS score,levels of TNF-α,IL-1β and IL-6 in serum,heart,lung and brain tissues,and NF-κB p65 protein in heart,lung and brain tissues in cardiopulmonary resuscitation group increased greatly(P<0.05),the 72 h survival rate,phosphory-lation levels of α7nAChR protein,ERK1/2,JNK and p38MAPK in heart,lung and brain tissues decreased greatly after restoration of spontaneous circulation(P<0.05),cells and neurons in the CA1 region of heart,lung and hippocampus were severely damaged.Com-pared with cardiopulmonary resuscitation group,change trend of relevant indicators in electroacupuncture group was opposite to the above,damage of cells and neurons in rat heart,lung and brain tissue was reduced(P<0.05).αBGT reduced the anti-inflammatory effect of electroacupuncture on cardiopulmonary resuscitation rats(P<0.05).GTS-21 enhanced the anti-inflammatory protection of electroacupuncture on cardiopulmonary resuscitation rats(P<0.05).Conclusion:Electroacupuncture has anti-inflammatory and pro-tective effects on cardiopulmonary resuscitation rats based on CAP,and NF-κB/MAPKs participate in α7nAChR mediated CAP.

Objective In this study,clinical data of Alzheimer's disease(AD)patients,structural magnetic resonance imaging(sMRI)data,and positron emission tomography(PET)data were used to construct an auxiliary diagnostic model with good classification effects,so as to formulate a personalized treatment plan at the early stage of the patients,which is of great significance for the prevention and treatment of AD.Methods In this study,a total of 401 study subjects containing complete sMRI images and PET images were selected from the ADNI-1(Alzheimer's disease neuroimaging initiative-1,ADNI-1)database.We used statistical parameters mapping(SPM)and voxel-based morphometric(VBM)analysis of MATLAB to perform pre-processing operations such as spatial normalization and skull stripping on sMRI images and PET images of the study subjects.With the help of the brain atlas was used to segment the brain tissue structure.After that,the segmented gray matter was extracted from the corresponding brain regions based on anatomical automatic labeling,and the feature values of all brain regions were obtained.Then the extracted brain region feature values are then subjected to fisher score,support vector machine-recursive feature elimination(SVM-RFE)and least absolute shrinkage and selection operator(LASSO),a hybrid filtered-wrapped-embedded feature selection method with three different principles,to realize the dimensionality reduction of high-dimensional image data.Finally,the PAC-Bayesian strategy boosting based multi-view learning(PB-MVBoost)model is constructed based on multi-view decision fusion for clinical,sMRI and PET data.And it is compared with the traditional machine learning models support vector machine(SVM),decision tree(DT),K-nearest neighbor(KNN),random forests(RF),adaptive boosting(AdaBoost),and extreme gradient boosting(XGBoost)which are constructed after concatenating views.It is compared with multi-view multi-kernel learning models(AverageMKL,EasyMKL)and multi-view confusion matrix boosting,which is also the same multi-view decision fusion.Results Among all the multi-view fusion models of AD-MCI,the PB-MVBoost model based on decision fusion has the best performance(accuracy=0.98,F1-score=0.97,precision=0.98,recall=0.96,MSE=0.07).Among all the multi-view fusion models of MCI-NC,the model performance of PB-MVBoost based on decision fusion was the best(accuracy=0.99,F1-score=0.98,precision=0.99,recall=0.98,MSE=0.05).Conclusion In the classification of AD-MCI and MCI-NC,the distinction and calibration degree of PB-MVBoost model were optimized,indicating that the auxiliary diagnosis model of Alzheimer's disease constructed by PB-MVBoost classifier based on decision fusion performed the best,which could improve the recognition of patients with mild cognitive impairment and then assist clinical diagnosis.

Objective To compare the early clinical efficacy of arthroscopic bridge suture combined with strengthening thread fixation for posterior cruciate ligament(PCL)tibial insertion avulsion frac-tures and traditional open double-row anchor suture fixation,and to explore a safe,effective,and min-imally invasive reduction and fixation method for PCL tibial insertion fractures in knee joint under ar-throscopy.Methods This study was a retrospective study.Sixty patients with PCL tibial insertion frac-tures(Meyers&McKeever types II-IV)and admitted to the Department of Orthopedics of Kunming Hospital of Traditional Chinese Medicine between June 2021 and June 2023 were included,and ran-domly divided into a traditional group(age:39.56±3.24 years,male/female:16/14)and a minimally in-vasive group(age:40.32±4.38,male/female:18/12),each of 30,according to their admission or-der.All patients were of Grade III positive in the drawer test before surgery.The traditional group un-derwent posterior medial inlay incision,reduction under direct vision and double-row anchor suture fix-ation,while the minimally invasive group underwent reduction under total arthroscopy,suture-bridge suture at the tendon-bone junction of PCL,and one anchor suture placed at the femoral insertion of PCL,with the anchor suture line serving as the reinforcing suture.Then,the anchor and suture-bridge suture lines were respectively pulled into the two tunnels behind the tibia from the front and then pulled out from the front of the tibia,and the reinforcing suture was knotted in front of the tib-ia.The bridge suture line was fixed in front of the tibia with an external row anchor.Six months after surgery,both groups were evaluated the efficacy using the posterior drawer test and Lysholm score.Re-sults At the follow-up six months after the surgery,both groups had good fracture healing,with one wound infection and delayed healing in the traditional group and total one-stage heal in the other group.According to the physical examination 6 months after surgery,all were negative in the posterior drawer test,except one of degree II positive in the traditional group.Moreover,the average Lysholm score of the traditional group increased from 65.23±3.48 before surgery to 87.64±4.58 points after surgery(P<0.05),while that of the minimally invasive group increased from 64.35±2.52 to 86.82±2.58(P<0.05),showing no significant differences between the two groups(P>0.05).Conclusion Both techniques in this study can achieve excellent surgical outcomes in the treatment of posterior cruciate ligament avulsion fractures at the tibial insertion site.

BACKGROUND:The development of calcium phosphate bone cement is limited due to its poor mechanical properties and weak osteogenic ability.Silicate bioactive glass is highly favored due to its excellent biological activity and osteogenic ability.Simultaneously,fiber structures can enhance the mechanical strength of materials.OBJECTIVE:To investigate the mechanical properties,biocompatibility,and osteogenic effect of silicate bioactive glass fiber composite calcium phosphate bone cement.METHODS:Different mass percentages(0％,10％,and 20％)of silicate bioactive glass fiber were added to the solid phase of calcium phosphate bone cement,mixed with the liquid phase and cured for 48 hours to obtain silicate bioactive glass fiber composite calcium phosphate bone cement.The mechanical properties,setting time,and ion precipitation of the cement were characterized.The three groups of bone cement extracts were co-cultured with MC3T3-E1 cells.The cell compatibility of the materials was evaluated by CCK-8 assay,live/dead staining,and phalloidin staining.After osteogenic induction,the osteogenic induction ability of the materials was evaluated by alkaline phosphatase staining,alizarin red staining,RUNX2 immunofluorescence staining,and RT-PCR.RESULTS AND CONCLUSION:(1)With the increase of silicate bioactive glass fiber content,the compressive strength and flexural strength of bone cement increased,and the setting time was prolonged.When bone cement was immersed in simulated body fluid,the precipitation of silicon ions,calcium ions,and phosphorus ions could be detected.Moreover,with the increase of silicate bioactive glass fiber content,the mass concentration of silicon ions and phosphorus ions released by bone cement increased,and the mass concentration of calcium ions decreased.(2)Live/dead staining and phalloidin staining results exhibited that silicate bioactive glass fiber composite calcium phosphate bone cement had no toxic effect on MC3T3-E1 cells.CCK-8 assay results showed that silicate bioactive glass fiber composite calcium phosphate bone cement could promote the proliferation of MC3T3-E1 cells.(3)With the increase of silicate bioactive glass fiber content in bone cement,the alkaline phosphatase activity and extracellular calcium deposition of MC3T3-E1 cells increased,the expression of RUNX2 protein increased,and the expression of alkaline phosphatase,osteocalcin,osteopontin,and RUNX2 mRNA expression increased.(4)The results indicate that silicate bioactive glass fibers can enhance the mechanical properties and osteogenic induction ability of calcium phosphate bone cement,among which 20％silicate bioactive glass fibers have a more obvious effect.

Objective To explore the differences in neural activity between patients with anorexia nervosa(AN)and healthy controls(HC),as well as the association between these differences and symptoms in AN patients,using activation likelihood estimation(ALE)meta-analysis.Methods The literature search covered the period from 2000 to March 2025.From a pool of 588 identified studies,4 studies focusing on the neural activity differences between AN patients and HC were selected for inclusion.These studies comprised 106 participants and 21 sets of coordinates.The ALE meta-analysis method was employed,and the GingerALE software was used to systematically analyze the reported brain region changes and their peak coordinates,aiming to investigate the differences in brain functional activity between AN patients and HC.Results Compared to the HC group,AN group showed significantly enhanced activation in the left parahippocampal gyrus/amygdala(ALE value=0.39×10-2),right parahippocampal gyrus/amygdala(ALE value=0.39×10-2)and suboccipital gyrus(ALE value=0.39×10-2),along with a significant reduction in activation in Brodmann area 17(ALE value=0.61×10-2)(P<0.01,FWE corrected).Conclusion Key brain regions in AN patients including the parahippocampal gyrus,inferior occipital gyrus,and amygdala demonstrate significant functional activation abnormalities.

Objective:To study the anti-inflammatory and protective effects of electroacupuncture on rats with cardiopulmo-nary resuscitation based on cholinergic anti-inflammatory pathway(CAP).Methods:Sixty male SD rats were randomly divided into sham operation group(Sham group),cardiopulmonary resuscitation group,electroacupuncture group,antagonist of α7-nicotinic ace-tylcholine receptor(α7nAChR)α Bungarus toxin group(αBGT group,1 μg/kg)and agonist of α7nAChR 3-(2,4-dimethoxybenzyli-dene)anabaseine(GTS-21)group(5 mg/kg),with 12 rats in each group.Model of cardiac arrest was established by inducing ventric-ular fibrillation in rats with percutaneous epicardial electrical stimulation,and routine resuscitation was performed,the defibrillation times,cardiopulmonary resuscitation duration and 72 h survival rate of rats in each group were observed and recorded.Neurological damage of rats in each group was scored(NDS score).Levels of inflammatory factors TNF-α,IL-1β and IL-6 in serum,heart,lung and brain of rats were measured by ELISA.HE staining was applied to evaluate the degree of tissue damage of heart,lung and brain tis-sues of rats in each group.Expressions of α7nAChR,NF-κB/MAPKs signal pathway related proteins in heart,lung and brain of rats in each group were detected by Western blot.Results:Compared with Sham group,the number of defibrillations,duration of cardiopul-monary resuscitation,NDS score,levels of TNF-α,IL-1β and IL-6 in serum,heart,lung and brain tissues,and NF-κB p65 protein in heart,lung and brain tissues in cardiopulmonary resuscitation group increased greatly(P<0.05),the 72 h survival rate,phosphory-lation levels of α7nAChR protein,ERK1/2,JNK and p38MAPK in heart,lung and brain tissues decreased greatly after restoration of spontaneous circulation(P<0.05),cells and neurons in the CA1 region of heart,lung and hippocampus were severely damaged.Com-pared with cardiopulmonary resuscitation group,change trend of relevant indicators in electroacupuncture group was opposite to the above,damage of cells and neurons in rat heart,lung and brain tissue was reduced(P<0.05).αBGT reduced the anti-inflammatory effect of electroacupuncture on cardiopulmonary resuscitation rats(P<0.05).GTS-21 enhanced the anti-inflammatory protection of electroacupuncture on cardiopulmonary resuscitation rats(P<0.05).Conclusion:Electroacupuncture has anti-inflammatory and pro-tective effects on cardiopulmonary resuscitation rats based on CAP,and NF-κB/MAPKs participate in α7nAChR mediated CAP.

Objective The prediction model of recurrence within two years after complete remission of diffuse large B-cell lymphoma(DLBCL)patients was constructed based on frienemy indecision region dynamic ensemble selection(FIRE-DES)to provide decision-making basis for the treatment of patients.Methods To collect data of 498 patients who achieved complete response after treatment from January 2010 to January 2020 in a Grade-A hospital in Shanxi Province.A FIRE-DES combination prediction model based on four common category-disequilibrium treatment methods was constructed and compared with five traditional single classifiers and two integrated classifiers.Results Among the four categories of unbalance algorithms,synthetic minority oversampling technique and edited nearest neighbor(SMOTE-ENN)algorithm has obtained the optimal classification performance.On this basis,the classification effect of dynamic ensemble selection performance(DESP),K-nearest oracle union(KNORAU)and meta-learning for dynamic ensemble selection(META-DES)dynamic integration selection algorithms is obviously superior to the traditional single classifier and ensemble classifier model.The classification effect of the improved DESP,KNORAU and META-DES dynamic selection algorithms based on Frienemy Indecision Region is further improved.The classification performance of FIRE-META-DES was the best(Accuracy=0.909,Precision=0.906,Recall=0.967,AUC=0.879,F1-Score=0.936,Brier Score=0.088).Conclusion Aiming at the actual DLBCL data set,SMOTE-ENN+FIRE-META-DES combined prediction model for recurrence used in this paper achieves the optimal performance and low computational complexity,which can provide a strong reference for DLBCL recurrence prediction.

Objective We apply a class imbalance treatment method that can solve the between-class imbalance problem and the within-class imbalance problem of the minority class and the majority class at the same time.And combining it with RF classifier to achieve early recurrence prediction in DLBLC patients,which provided a reference for the treatment of DLBLC patients.Methods Firstly,we apply a class imbalance processing method based on Gaussian mixture model bi-directional clustering resampling to process the data.And compared with ROS,SMOTE,Borderline-1 SMOTE,Borderline-2 SMOTE,GMM oversampling,GMM undersampling,SMOTE+RUS,SMOTE+GMM and GMM+RUS.Afterwards,in order to verify the performance of RF,we use logistic regression and decision tree models as controls.Finally,the evaluation of the model is carried out in terms of discrimination and calibration.Results The RF model with GMM-GMM resampling achieved relatively optimal classification performance(accuracy=0.79,AUC=0.87,sensitivity=0.71,specificity=0.87,G-means=0.79,MSE=0.21).Conclusion GMM-GMM is superior to other traditional resampling methods,and combining it with the RF model for the prediction of early recurrence in DLBCL patients has achieved relatively good classification results,which can well realize the prediction of early recurrence in DLBCL patients.

Objective To construct a 2-year relapse risk prediction model for 498 patients diagnosed with diffuse large B-cell lymphoma(DLBCL)who achieved complete response(CR)following treatment at the hematology department of a cancer hospital in Shanxi Province between 2011 and 2020,providing a reference for clinical management.Methods The least absolute shrinkage and selection operator(LASSO)feature selection algorithm,combined with clinical expertise,was first used to identify 21 significant variables influencing the 2-year relapse rate in DLBCL patients with CR.To address data imbalance,synthetic minority oversampling technique(SMOTE)and synthetic minority oversampling technique and edited nearest neighbor(SMOTE-ENN)were applied.Relapse predictions were conducted using seven classifiers on both the original and balanced datasets.The deep forest(DF)algorithm was then employed to build the relapse risk prediction model.Model performance was evaluated using accuracy,precision,sensiti vity/recall,specificity,F1-score,and G-means,while calibration was assessed using the Brier score.Results The deep forest algorithm,when combined with the SMOTE-ENN method for data imbalance,achieved the best performance(accuracy=0.932,precision=0.949,recall=0.944,specificity=0.910,F1-score=0.946,G-means=0.926,Brier score=0.068).Conclusion This study successfully combines the SMOTE-ENN technique with the deep forest classifier to predict 2-year relapse risk in DLBCL patients who achieved CR.The model demonstrates excellent performance and meets expectations.