ObjectiveTo investigate the effect of icariin （ICA） on steroid-induced ferroptosis in bone microvascular endothelial cells （BMECs）. MethodsRat BMECs were selected and treated with 500 mg·L^-1 hydrocortisone for 1.5 h to establish a ferroptosis model of BMECs. The experimental cells were divided into a blank group， hormone group （500 mg·L^-1 hydrocortisone）， ICA group （500 mg·L^-1 hydrocortisone + 34 mg·L^-1 ICA）， and ferroptosis agonist group （500 mg·L^-1 hydrocortisone + 34 mg·L^-1 ICA + 2.7 mg·L^-1 erastin）. Cell viability was detected by CCK-8. The levels of ferrous ion， glutathione （GSH）， malondialdehyde （MDA）， superoxide dismutase （SOD）， and reactive oxygen species （ROS） were detected by related kit species. The ferroptosis-related proteins， such as glutathione peroxidase 4（GPX4）， ferritin light chain （FTL）， and transferrin receptor protein1 （sTfR） were detected by Western blot， as well as autophagy-related proteins including microtubule-associated protein 1 light chain 3B （LC3B）， Beclin1， B-cell lymphoma-2 （Bcl-2）， and Caspase-3. Results500 mg·L^-1 hydrocortisone intervention for 1.5 h could effectively induce ferroptosis in BMECs， and ferroptosis levels could reach a peak as the intervention continued. In terms of cellular antioxidant capacity， compared with those in the blank group， the cell vitality， GSH in the hormone group decreased significantly， and the levels of ROS， SOD， MDA， and ferrous ions were significantly increased （P<0.01）. Compared with those in the hormone group， the cell viability， GSH were significantly increased， and the levels of ROS， SOD， MDA， and ferrous ions were decreased in the ICA group （P<0.01）. Compared with those in the ICA group， the cell vitality， GSH in the ferroptosis agonist group decreased significantly， and the levels of ROS， SOD， MDA， and ferrous ions increased significantly （P<0.01）. In terms of the relationship between ferroptosis and autophagy， compared with the blank group， the hormone group had significantly increased expression levels of LC3B， sTfR， Beclin1， and FTL and significantly decreased expression levels of GPX4 （P<0.01）. Compared with the hormone group， The ICA group had significantly decreased expression levels of LC3B， sTfR， and FTL and significantly increased expression levels of Beclin 1 and GPX4 （P<0.01）. Compared with those in the ICA group， the expression levels of LC3B， sTfR， and FTL increased in the rapamycin group， and those of Beclin 1 and GPX4 decreased （P<0.01）. In terms of cell ferroptosis and apoptosis，compared with the blank group， the hormone group had significantly increased expression levels of FTL， sTfR and Caspase-3 and significantly decreased expression levels of GPX4， and Bcl-2 （P<0.01）. Compared with the hormone group， the ICA group had significantly decreased expression levels of FTL， sTfR and Caspase-3 and significantly increased expression levels of GPX4， and Bcl-2 （P<0.01）. Compared with those in the ICA group， the expression levels of FTL， sTfR and Caspase-3 in the ferroptosis agonist group were increased， and the expression levels of GPX4， and Bcl-2 were decreased （P<0.01）. In terms of cell function，compared with that in the blank group， the ability of cell migration and tube formation was significantly decreased in the hormone group （P<0.01）. Compared with that in the hormone group， the cell migration and tube formation ability in the ICA group were significantly increased （P<0.01）. ConclusionFerroptosis is involved in steroid-induced damage in BMECs. ICA can inhibit steroid-induced ferroptosis in BMECs， and the mechanism may be associated with the inhibition of ferroptosis by regulating autophagy.

Steroid-induced osteonecrosis of the femoral head （SONFH） is a severe musculoskeletal disorder often induced by the prolonged or excessive use of glucocorticoids. Characterized by ischemia of bone cells， necrosis， and trabecular fractures， SONFH is accompanied by pain， femoral head collapse， and joint dysfunction， which can lead to disability in severe cases. The pathogenesis of SONFH involves hormone-induced osteoblast apoptosis， bone microvascular endothelial cell （BMEC） apoptosis， oxidative stress， and inflammatory responses. The phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway plays a pivotal role in the development of the disease. Modulating the PI3K/Akt signaling pathway can promote Akt phosphorylation， thereby stimulating the osteogenic differentiation of bone marrow mesenchymal stem cells and osteoblasts， promoting angiogenesis in BMECs， and inhibiting osteoclastogenesis. The research on the treatment of SONFH with traditional Chinese medicine （TCM） has gained increasing attention. Recent studies have shown that TCM monomers and compounds have potential therapeutic effect on SONFH by intervening in the PI3K/Akt signaling pathway. These studies not only provide a scientific basis for the application of TCM in the treatment of SONFH but also offer new ideas for the development of new therapeutic strategies. This review summarized the progress in Chinese and international research on the PI3K/Akt signaling pathway in SONFH over the past five years. It involved the composition and transmission mechanisms of the signaling pathway， as well as its regulatory effects on osteoblasts， mesenchymal stem cells， osteoclasts， BMECs， and other cells. Additionally， the review explored the TCM understanding of SONFH and the application of TCM monomers and compounds in the intervention of the PI3K/Akt pathway. By systematically analyzing and organizing these research findings， this article aimed to provide references and point out directions for the clinical prevention and treatment of SONFH and promote further development of TCM in this field. With in-depth research on the PI3K/Akt pathway and the modern application of TCM， it is expected to bring safer and more effective treatment options for patients with SONFH.

ObjectiveTo investigate the impact of icariin （ICA） on autophagy in glucocorticoid-induced bone microvascular endothelial cells （BMECs） mediated by the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR） signaling pathway. MethodBMECs were isolated and cultured from femoral heads obtained during total hip arthroplasty and identified using immunofluorescence staining. The experimental cells were divided into four groups： A control group， a glucocorticoid group （100 mg·L^-1 hydrocortisone）， an ICA group （100 mg·L^-1 hydrocortisone+6.7×10^-3 mg·L^-1 ICA）， and a Rapamycin group （100 mg·L^-1 hydrocortisone+6.7×10^-3 mg·L^-1 ICA+1 mg·L^-1 rapamycin）. Autophagy in BMECs was induced using 100 mg·L^-1 hydrocortisone. LC3 fluorescence staining was used to observe the peak of autophagy at different time points. Western blot analysis was employed to analyze the expression of autophagy-related proteins and PI3K/Akt/mTOR pathway proteins in each group. Electron microscopy was used to observe autophagosomes and autolysosomes in the cells. ResultHydrocortisone at 100 mg·L^-1 induced autophagy in BMECs， reaching a peak at around 5 hours， which then declined with further intervention. Compared to the control group， the glucocorticoid group showed cell membrane damage， disordered organelle arrangement， and a large number of autophagosomes and autolysosomes. Compared to the glucocorticoid group， the ICA group had more intact cell membranes， sparser organelle arrangement， and fewer autophagosomes and autolysosomes. Compared to the ICA group， the Rapamycin group showed cell membrane damage， disordered organelle arrangement， and more autophagosomes and autolysosomes. Compared to the control group， the glucocorticoid group had significantly increased expression of light chain 3B （LC3B）， Atg4B， and p62 （P<0.01）. Compared to the glucocorticoid group， the ICA group showed significantly decreased expression of LC3B， Atg4B， p62， and Beclin-1 （P<0.01）. Compared to the ICA group， the Rapamycin group had significantly increased expression of Atg4B and p62 （P<0.01）. Compared to the control group， the glucocorticoid group had significantly decreased expression of p-PI3K/PI3K， p-Akt/Akt， and p-mTOR/mTOR （P<0.01）. Compared to the glucocorticoid group， the ICA group showed significantly increased expression of p-PI3K/PI3K， p-Akt/Akt， and p-mTOR/mTOR （P<0.01）. Compared to the ICA group， the Rapamycin group had significantly decreased expression of p-PI3K/PI3K， p-Akt/Akt， and p-mTOR/mTOR （P<0.01）. Ubiquitination levels were significantly decreased in the glucocorticoid group compared to the control group （P<0.01）. Compared to the glucocorticoid group， ubiquitination levels were significantly increased in the ICA group （P<0.01）， and significantly decreased in the Rapamycin group compared to the ICA group （P<0.01）. ConclusionThe glucocorticoid-induced autophagy in BMECs is time-dependent. ICA inhibits glucocorticoid-induced autophagy in BMECs， and this effect may be related to the regulation of the PI3K/Akt/mTOR pathway.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Background::Dilated cardiomyopathy (DCM) has a high mortality rate and is the most common indication for heart transplantation. Our study sought to develop a multiparametric nomogram to assess individualized all-cause mortality or heart transplantation (ACM/HTx) risk in DCM patients.Methods::The present study is a retrospective cohort study. The demographic, clinical, blood test, and cardiac magnetic resonance imaging (CMRI) data of DCM patients in the tertiary center (Fuwai Hospital) were collected. The primary endpoint was ACM/HTx. The least absolute shrinkage and selection operator (LASSO) Cox regression model was applied for variable selection. Multivariable Cox regression was used to develop a nomogram. The concordance index (C-index), area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA) were used to evaluate the performance of the nomogram.Results::A total of 218 patients were included in the present study. They were randomly divided into a training cohort and a validation cohort. The nomogram was established based on eight variables, including mid-wall late gadolinium enhancement, systolic blood pressure, diastolic blood pressure, left ventricular ejection fraction, left ventricular end-diastolic diameter, left ventricular end-diastolic volume index, free triiodothyronine, and N-terminal pro-B type natriuretic peptide. The AUCs regarding 1-year, 3-year, and 5-year ACM/HTx events were 0.859, 0.831, and 0.840 in the training cohort and 0.770, 0.789, and 0.819 in the validation cohort, respectively. The calibration curve and DCA showed good accuracy and clinical utility of the nomogram.Conclusions::We established and validated a circulating biomarker- and CMRI-based nomogram that could provide a personalized prediction of ACM/HTx for DCM patients, which might help risk stratification and decision-making in clinical practice.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Bone defects caused by different causes such as trauma, severe bone infection and other factors are common in clinic and difficult to treat. Usually, bone substitutes are required for repair. Current bone grafting materials used clinically include autologous bones, allogeneic bones, xenografts, and synthetic materials, etc. Other than autologous bones, the major hurdles of rest bone grafts have various degrees of poor biological activity and lack of active ingredients to provide osteogenic impetus. Bone marrow contains various components such as stem cells and bioactive factors, which are contributive to osteogenesis. In response, the technique of bone marrow enrichment, based on the efficient utilization of components within bone marrow, has been risen, aiming to extract osteogenic cells and factors from bone marrow of patients and incorporate them into 3D scaffolds for fabricating bone grafts with high osteoinductivity. However, the scientific guidance and application specification are lacked with regard to the clinical scope, approach, safety and effectiveness. In this context, under the organization of Chinese Orthopedic Association, the Expert consensus for the clinical application of autologous bone marrow enrichment technique for bone repair ( version 2023) is formulated based on the evidence-based medicine. The consensus covers the topics of the characteristics, range of application, safety and application notes of the technique of autologous bone marrow enrichment and proposes corresponding recommendations, hoping to provide better guidance for clinical practice of the technique.

Objective:To investigate the power and prenatal diagnosis strategies of cell-free fetal DNA (cffDNA) testing for chromosomal aneuploidy screening apart from trisomy-13/18/21.Methods:This study collected the clinical data of three cases at high risk of trisomy-16 indicated by cffDNA testing in Hunan Provincial Maternal and Child Health Care Hospital from March 2019 to March 2020. Results of the conventional G-banding karyotype analysis of amniotic fluid, single nucleotide polymorphism array (SNP-array) and low-coverage massively parallel copy number variation sequencing (CNV-seq) of placenta/fetal skin samples were analyzed.Results:(1) cffDNA testing results suggested that case 1-3 were at high risk of trisomy-16 and the Z values of chromosome 16 were 20.57, 24.88 and 17.87, respectively. (2) Karyotype analysis of amniotic fluid samples did not identify any abnormalities in Case 1 and 2, while SNP-array revealed a 19.2 Mb and 23.0 Mb heterozygous deletion at 16p13.3p12.3 and 16q22.1q24.3 in Case 1, and a 16.0 Mb loss of heterozygosity at 16q22.3q24.3 in Case 2. Case 3 had a mosaicism karyotype of 47,XY,+16[3]/46,XY[97] and SNP-array analysis showed no heterozygous deletion greater than 5 Mb or copy number variation. (3) Ultrasonography indicated fetal growth restriction in Case 1 and 2 and fetal death in Case 3. All three pregnancies were terminated. CNV-seq analysis of placental tissue in the center of both fetal and maternal side revealed mosaic trisomy 16, with the copy numbers of chromosome 16 of 2.56/2.70, 2.73/2.82, 2.80/2.81, respectively. However, no copy number variation was detected in Case 1 or 2 by CNV-seq analysis of fetal skin tissues. Conclusions:cffDNA testing has a certain power in detecting trisomy-16 apart from trisomy-13/18/21. For high-risk cases of trisomy-16 indicated by cffDNA testing, SNP-array analysis combined with karyotype analysis is suggested to rule out low-level mosaicism and loss of heterozygosity.

Objective To investigate the mechanism of TNF-related apoptosis-inducing ligand (TRAIL) promoting apoptosis of pancreatic cancer cells SW1990, Patu8988 and BxPC3. Methods Three kinds of pancreatic cancer cells SW1990, Patu8988 and BxPC3 were transfected with the pCA13 plasmid carrying TRAIL gene ( pCA13 TRAIL group) and the blank plasmid control ( pCA13 group) , respectively. The expression of TRAIL mRNA in transfected cells was detected by RT-PCR, and the expression of TRAIL protein was detected by Western blot. The apoptosis rate and expression of TRAIL receptor R1 and R2 were detected by flow cytometry. Apoptosis was detected by TUNEL and Hoechst double staining, and observed by electron microscopy. The expression of caspase-3 in transfected cells was detected by immunohistochemistry. Results SW1990, Patu8988 and BxPC3 cells can expresse TRAIL mRNA and protein within 24 h after transfection. The apoptotic rate at 24 h after transfection was (27. 30 ± 5. 14)％, (13. 52 ± 0. 95)％ and (31. 40 ± 8. 70)％,respectively, which was higher than that of pCA13 group [(10. 58 ± 1. 88)％,(8. 42 ± 0. 46)％ and (16.11 ±1.66)％], respectively. The expression rates of TRAIL-R1 were (61.37 ± 3.05)％,(42.10 ± 5. 11)％ and (36. 64 ± 4. 84)％, respectively, and the expression rates of TRAIL-R2 were (36. 20 ± 4. 83)％,(37. 26 ± 8. 46)％ and (24. 32 ± 3. 71)％, respectively,which were higher than those of pCA13 group except PATU8988 cells. Positivity rates of caspase-3 were ( 14. 64 ± 5. 35 )％, ( 9. 92 ± 5. 50 )％ and (16. 12 ± 6. 74)％, which were obviously higher than ( 3. 01 ± 1. 50 )％, ( 1. 75 ± 0. 50 )％ and ( 3. 79 ± 1. 58)％ in pCA13 group,and the differences were statistically significant(P<0. 05). Conclusions TRAIL could up-regulate the expression of TRAIL R1 and R2 in multiple pancreatic cancer cell lines in vitro, and thus promote cell apoptosis.

Objective To investigate the characteristics of target motion in esophageal cancer during normal breathing with four-dimensional computed tomography(4DCT). Methods Twenty patients with primary esophageal cancer received respiratory gated 4DCT to obtain the target motion during normal breathing and delineate the gross tumor volume (GTV). The center coordinate and volume of each GTV were measured and recorded to calculate the displacement of the GTV center and the change in volume in different respiratory phases. Results The displacement of the GTV center in each esophageal segment in superior-inferior direction (0.521±0.319 cm) was significantly greater than that in right-left direction (0.169± 0.083 cm) and that in anterior-posterior direction (0.167±0.095 cm)(all P<0.05). The maximum displacement of the GTV center in each direction was significantly different in different esophageal segments(all P<0.05).The displacement of the GTV center in each direction was not entirely consistent in different respiratory phases. The displacement of the GTV center in each direction in T50phase was greatest when T0phase was the reference phase. The volume of GTV had no significant changes at the end of the expiratory phase and the inspiratory phase (P=0.313). Conclusions The displacement of GTV center in each esophageal segment in superior-inferior direction is significantly greater than that in right-left direction and that in anterior-posterior direction and the displacement of GTV center in each direction is significantly different in different esophageal segments. Therefore, all the factors should be considered to develop a reasonable target for precise radiotherapy. For esophageal cancer in cervical and upper chest esophageal segment,it is reasonable to delineate ITV based on the fusion image of the images at the end of inspiratory phase and expiratory phase. The deformation of target volume of the esophageal cancer in the cervical and upper chest esophageal segment is not significant in the respiratory cycle.