BACKGROUND:Intertrochanteric fractures of the femur are particularly common in elderly and osteoporosis patients,and treatment often requires internal fixation surgery to stabilize the fracture and promote healing. However,internal fixation surgery may occasionally fail,leading to serious problems such as nonunion of fractures,malunion,or re-fracture.OBJECTIVE:To explore the effect of artificial total hip arthroplasty on postoperative failure of internal fixation for intertrochanteric fractures of the femur and the influencing factors of postoperative occult blood loss.METHODS:Totally 86 patients with failed internal fixation of intertrochanteric fractures of the femur who were treated in First People's Hospital of Yangquan City from May 2019 to September 2022 and had complete follow-up data were collected. Using artificial total hip arthroplasty for treatment,relevant clinical indicators of the patient were recorded,and Harris score,visual analog scale score,and SF-36 score were compared and analyzed before and after surgery. Univariate and multivariate logistic regression analysis was conducted on the factors affecting occult blood loss after total hip arthroplasty. Logistic regression models and neural network models were established to predict occult blood loss. The predictive performance and accuracy of the two models were compared by drawing receiver operating characteristic curves.RESULTS AND CONCLUSION:(1) Totally 86 patients with intertrochanteric fractures of the femur were successfully treated with artificial total hip arthroplasty after internal fixation failure. (2) There were statistically significant differences in Harris score,visual analog scale score,SF-36 score,and hip active range of motion between patients before and 3,6,and 12 months after surgery (P<0.05). (3) The age,hypertension ratio,diabetes ratio,osteoporosis ratio,operation time,total blood loss,intraoperative blood loss,postoperative drainage volume,and hemoglobin decrease in the high occult blood loss group were significantly higher than those in the low occult blood loss group (P<0.05). The proportion of bone cement type prostheses,anterior approach,and 2-3 grade hip jointspace in the low occult blood loss group were higher than those in the high occult blood loss group (P<0.05). There was no statistically significant difference between the two groups in terms of gender ratio,body mass index,proportion of chronic bronchitis,proportion of sides,anesthesia method,and acetabular cup diameter (P>0.05). (4) Through multivariate logistic regression analysis,age,diabetes,osteoporosis,prosthesis type,surgical approach,hip joint space,total blood loss,intraoperative blood loss,postoperative drainage volume,and hemoglobin decrease were the risk factors for high occult blood loss after total hip arthroplasty (P<0.05). (5) After incorporating influencing factors into the logistic regression model and neural network model for predicting occult blood loss,the receiver operating characteristic curves of the two models were plotted with area under curve values of 0.882 and 0.923,sensitivity values of 0.879 and 0.886,specificity values of 0.854 and 0.908,Youden index values of 0.733 and 0.794,and accuracy values of 0.867 and 0.897,respectively. The area under curve,Youden index,and accuracy of both models were higher than those of neural network models. (6) It is concluded that total hip arthroplasty has a significant clinical effect on treating postoperative failure of internal fixation for intertrochanteric fractures of the femur,with good recovery of hip joint range of motion. Age,diabetes,osteoporosis,prosthesis type,surgical approach,hip joint space,total blood loss,intraoperative blood loss,postoperative drainage volume,and hemoglobin decrease are important factors for the high risk of occult blood loss after total hip arthroplasty. Logistic regression model and neural network model based on risk factors have little difference in the prediction results of occult blood loss,and neural network model is higher.

Objective To study the transcriptional expression of Chlorophyti Laxi R.Br.using high-throughput sequencing technology.Methods Total RNA of Chlorophtum laxum R.Br.was extracted,followed by library construction,sequencing,and de novo assembly to obtain unigene sequences.These sequences were then annotated and compared to acquire genetic information of the Chlorophtum laxum R.Br.transcriptome.Results A total of 29 325 unigene were identified,with an average length of 1 026 bp and an N50 of 1 697 bp.Among them,20 338 unigene were functionally annotated in at least one database,with Chlorophtum laxum R.Br.showing the highest sequence similarity to Asparagus officinalis.In the Kyoto Encyclopedia of Genes and Genomes(KEGG)database,13 392 unigene were annotated,including genes involved in flavonoid biosynthesis and ubiquinone and other terpenoid-quinone biosynthesis pathways.Thirty-five upstream genes related to Chlorophtum laxum R.Br.saponin biosynthesis were identified.In the Gene Ontology(GO)database,16 728 unigene were annotated,covering cellular anatomical entities,binding,and biological processes.Using the Microsatellite Identification Tool(MISA),11 486 assembled unigene longer than 1 000 bp were analyzed for simple sequence repeats(SSRs),resulting in the identification of 5 178 SSR loci,for which primers were designed using Primer 3.0.By comparing Chlorophtum laxum R.Br.unigene with the transcription factor database,657 transcription factors,including bHLH,MYB,and WRKY,were identified.Conclusion The transcriptome data provide a foundation for studying the biosynthetic pathways and functional genes of medicinal active components in Chlorophtum laxum R.Br.,and also contribute to the conservation and development of its resources.

Atherosclerotic ischemic stroke is a leading global cause of stroke-related disability and mortality,its pathogenesis is closely linked to insulin resistance(IR).The triglyceride-glucose-body mass index(TyG-BMI),a composite metabolic marker integrating,fasting triglycerides(TG),fasting blood glucose(FBG),and body mass index(BMI),comprehensively reflects IR status through lipotoxicity,glucotoxicity,and obesity.Compared to individual biomarkers(e.g.,TG or FBG alone),TyG-BMI demonstrates superior sensitivity in assessing IR and exhibits strong associations with carotid plaque instability and multisite atherosclerosis.Elevated TyG-BMI levels are associated with an increased risk of atherosclerotic ischemic stroke and are more efficient predictors in Asian populations.This metric offers a novel approach for early risk stratification and personalized management of atherosclerotic ischemic stroke.However,multicenter prospective studies are required to validate causal relationships and elucidate molecular mechanisms underlying its connection with plaque stability and cerebral hemodynamics.Such efforts will refine stroke prevention and treatment strategies based on metabolic biomarkers.This review systematically examines the pathophysiological mechanisms and clinical implications of TyG-BMI in atherosclerotic ischemic stroke.

Atherosclerotic ischemic stroke is a leading global cause of stroke-related disability and mortality,its pathogenesis is closely linked to insulin resistance(IR).The triglyceride-glucose-body mass index(TyG-BMI),a composite metabolic marker integrating,fasting triglycerides(TG),fasting blood glucose(FBG),and body mass index(BMI),comprehensively reflects IR status through lipotoxicity,glucotoxicity,and obesity.Compared to individual biomarkers(e.g.,TG or FBG alone),TyG-BMI demonstrates superior sensitivity in assessing IR and exhibits strong associations with carotid plaque instability and multisite atherosclerosis.Elevated TyG-BMI levels are associated with an increased risk of atherosclerotic ischemic stroke and are more efficient predictors in Asian populations.This metric offers a novel approach for early risk stratification and personalized management of atherosclerotic ischemic stroke.However,multicenter prospective studies are required to validate causal relationships and elucidate molecular mechanisms underlying its connection with plaque stability and cerebral hemodynamics.Such efforts will refine stroke prevention and treatment strategies based on metabolic biomarkers.This review systematically examines the pathophysiological mechanisms and clinical implications of TyG-BMI in atherosclerotic ischemic stroke.

BACKGROUND:Intertrochanteric fractures of the femur are particularly common in elderly and osteoporosis patients,and treatment often requires internal fixation surgery to stabilize the fracture and promote healing. However,internal fixation surgery may occasionally fail,leading to serious problems such as nonunion of fractures,malunion,or re-fracture.OBJECTIVE:To explore the effect of artificial total hip arthroplasty on postoperative failure of internal fixation for intertrochanteric fractures of the femur and the influencing factors of postoperative occult blood loss.METHODS:Totally 86 patients with failed internal fixation of intertrochanteric fractures of the femur who were treated in First People's Hospital of Yangquan City from May 2019 to September 2022 and had complete follow-up data were collected. Using artificial total hip arthroplasty for treatment,relevant clinical indicators of the patient were recorded,and Harris score,visual analog scale score,and SF-36 score were compared and analyzed before and after surgery. Univariate and multivariate logistic regression analysis was conducted on the factors affecting occult blood loss after total hip arthroplasty. Logistic regression models and neural network models were established to predict occult blood loss. The predictive performance and accuracy of the two models were compared by drawing receiver operating characteristic curves.RESULTS AND CONCLUSION:(1) Totally 86 patients with intertrochanteric fractures of the femur were successfully treated with artificial total hip arthroplasty after internal fixation failure. (2) There were statistically significant differences in Harris score,visual analog scale score,SF-36 score,and hip active range of motion between patients before and 3,6,and 12 months after surgery (P<0.05). (3) The age,hypertension ratio,diabetes ratio,osteoporosis ratio,operation time,total blood loss,intraoperative blood loss,postoperative drainage volume,and hemoglobin decrease in the high occult blood loss group were significantly higher than those in the low occult blood loss group (P<0.05). The proportion of bone cement type prostheses,anterior approach,and 2-3 grade hip jointspace in the low occult blood loss group were higher than those in the high occult blood loss group (P<0.05). There was no statistically significant difference between the two groups in terms of gender ratio,body mass index,proportion of chronic bronchitis,proportion of sides,anesthesia method,and acetabular cup diameter (P>0.05). (4) Through multivariate logistic regression analysis,age,diabetes,osteoporosis,prosthesis type,surgical approach,hip joint space,total blood loss,intraoperative blood loss,postoperative drainage volume,and hemoglobin decrease were the risk factors for high occult blood loss after total hip arthroplasty (P<0.05). (5) After incorporating influencing factors into the logistic regression model and neural network model for predicting occult blood loss,the receiver operating characteristic curves of the two models were plotted with area under curve values of 0.882 and 0.923,sensitivity values of 0.879 and 0.886,specificity values of 0.854 and 0.908,Youden index values of 0.733 and 0.794,and accuracy values of 0.867 and 0.897,respectively. The area under curve,Youden index,and accuracy of both models were higher than those of neural network models. (6) It is concluded that total hip arthroplasty has a significant clinical effect on treating postoperative failure of internal fixation for intertrochanteric fractures of the femur,with good recovery of hip joint range of motion. Age,diabetes,osteoporosis,prosthesis type,surgical approach,hip joint space,total blood loss,intraoperative blood loss,postoperative drainage volume,and hemoglobin decrease are important factors for the high risk of occult blood loss after total hip arthroplasty. Logistic regression model and neural network model based on risk factors have little difference in the prediction results of occult blood loss,and neural network model is higher.

Objective To analyze the correlation between the lung allocation score (LAS) and the risk of early death and complications in patients with idiopathic pulmonary fibrosis (IPF) after lung transplantation. Methods Clinical data of 275 patients with IPF were retrospectively analyzed. The correlation between LAS and the risk of early death in IPF patients after lung transplantation and the correlation between LAS and complications at postoperative 1 year was assessed by univariate and multivariate Cox regression analyses. Results Among 275 recipients, 62, 83, 95 and 108 cases died within postoperative 30, 90, 180 and 365 d, respectively. LAS was correlated with 30-, 90-, 180- and 365-d fatality of IPF patients (all P<0.05), whereas it was not correlated with the incidence of primary graft dysfunction (PGD) and acute kidney injury (AKI) at 365 d after lung transplantation (both P>0.05). Conclusions LAS is correlated with the risk of early death of IPF patients after lung transplantation. While, it is not correlated the incidence of PGD and AKI early after lung transplantation. Special attention should be paid to the effect of comprehensive factors upon PGD and AKI.

Objective To explore the establishment of a prognostic model based on machine learning algorithm to predict primary graft dysfunction(PGD)in patients with idiopathic pulmonary fibrosis(IPF)after lung transplantation.Methods Clinical data of 226 IPF patients who underwent lung transplantation were retrospectively analyzed.All patients were randomly divided into the training and test sets at a ratio of 7∶3.Using regularized logistic regression,random forest,support vector machine and artificial neural network,the prognostic model was established through variable screening,model establishment and model optimization.The performance of this prognostic model was assessed by the area under the receiver operating characteristic curve(AUC),positive predictive value,negative predictive value and accuracy.Results Sixteen key features were selected for model establishment.The AUC of the four prognostic models all exceeded 0.7.DeLong and McNemar tests found no significant difference in the performance among different models(both P＞0.05).Conclusions Based on four machine learning algorithms,the prognostic model for grade 3 PGD after lung transplantation is preliminarily established.The overall prediction performance of each model is similar,which may predict the risk of grade 3 PGD in IPF patients after lung transplantation.

Background::Pulmonary arterial hypertension (PAH) is characterized by excessive proliferation of small pulmonary arterial vascular smooth muscle cells (PASMCs), endothelial dysfunction, and extracellular matrix remodeling. G protein-coupled receptor kinase 2 (GRK2) plays an important role in the maintenance of vascular tone and blood flow. However, the role of GRK2 in the pathogenesis of PAH is unknown.Methods::GRK2 levels were detected in lung tissues from healthy people and PAH patients. C57BL/6 mice, vascular smooth muscle cell-specific Grk2-knockout mice ( Grk2?SM22), and littermate controls ( Grk2flox/flox) were grouped into control and hypoxia mice ( n = 8). Pulmonary hypertension (PH) was induced by exposure to chronic hypoxia (10%) combined with injection of the SU5416 (cHx/SU). The expression levels of GRK2 and Yes-associated protein (YAP) in pulmonary arteries and PASMCs were detected by Western blotting and immunofluorescence staining. The mRNA expression levels of Grk2 and Yes-associated protein ( YAP) in PASMCs were quantified with real-time polymerase chain reaction (RT-PCR). Wound-healing assay, 3-(4,5)-dimethylthiahiazo (-z-y1)-3,5-di-phenytetrazoliumromide (MTT) assay, and 5-Ethynyl-2′-deoxyuridine (EdU) staining were performed to evaluate the proliferation and migration of PASMCs. Meanwhile, the interaction among proteins was detected by immunoprecipitation assays. Results::The expression levels of GRK2 were upregulated in the pulmonary arteries of patients with PAH and the lungs of PH mice. Moreover, cHx/SU-induced PH was attenuated in Grk2?SM22 mice compared with littermate controls. The amelioration of PH in Grk2?SM22 mice was accompanied by reduced pulmonary vascular remodeling. In vitro study further confirmed that GRK2 knock-down significantly altered hypoxia-induced PASMCs proliferation and migration, whereas this effect was severely intensified by overexpression of GRK2. We also identified that GRK2 promoted YAP expression and nuclear translocation in PASMCs, resulting in excessive PASMCs proliferation and migration. Furthermore, GRK2 is stabilized by inhibiting phosphorylating GRK2 on Tyr86 and subsequently activating ubiquitylation under hypoxic conditions. Conclusion::Our findings suggest that GRK2 plays a critical role in the pathogenesis of PAH, via regulating YAP expression and nuclear translocation. Therefore, GRK2 serves as a novel therapeutic target for PAH treatment.

To construct a recombinant attenuated Salmonella strain carrying the p57 and BLID genes and to evaluate its inhibitory effect on breast cancer cells and apoptosis induction in vitro,the recombinant attenuated Salmonella LH430/pEGFP-p57-BLID was constructed.RT-PCR and Western blot were used to detect the transcription and expression of the recombinant attenuated Salmonella in cancer cells.The CCK-8 method was used to assess the safety of the recombinant at-tenuated Salmonella and its impact on the activity of breast cancer cells.The cell scratch assay was used to analyze the influence of the recombinant attenuated Salmonella on the migratory ability of cancer cells.Flow cytometry and Western blot were used to analyze the effect of the recombinant attenuated Salmonella on the apoptosis of MDA-MB-231 cells.The bands of target genes carried by the recombinant attenuated Salmonella could be amplified by PCR,and these target genes could be transcribed and expressed in MDA-MB-231 cells.The recombinant attenuated Salmonella showed good growth characteristics and genetic stability.Compared with the PBS group,recombi-nant attenuated Salmonella LH430/pEGFP-p57-BLID significantly reduced(P＜0.01)the activity of MDA-MB-231 cells and significantly inhibited(P＜0.01)the migration of MDA-MB-231 cells.Recombinant attenuated Salmonella LH430/pEGFP-p57-BLID can obviously increase the number of apoptosis in MDA-MB-231 cells,significantly upregulate(P＜0.01)the expression of apoptotic protein Bax,and significantly downregulate(P＜0.01)the expression of apoptotic protein Bcl-2.The results showed that the recombinant attenuated Salmonella had an inhibitory effect on breast cancer MDA-MB-231 cells and could induce apoptosis,which laid a foundation for the subsequent study of anti-tumor in vivo.

Sheehan syndrome requires life-long hormone replacement therapy, and discontinuation of medication can lead to a pituitary crisis. We report a case of a patient with Sheehan syndrome who developed loss of consciousness and severe hyponatremia after abruptly discontinuing medication due to coronavirus disease 2019(COVID-19) infection. After resuscitation, the patient gradually regained consciousness but developed slurred speech, unresponsiveness, and muscle weakness five days later. Brain magnetic resonance imaging(MRI) revealed extrapontine myelinolysis. Treatment with gamma globulin and glucocorticoids led to gradual recovery of consciousness, speech function, and muscle strength. The patient regained independent living abilities after six months of rehabilitation. This case underscores the necessity of continuous hormone therapy and highlights the potential risks of abrupt medication cessation in Sheehan syndrome. Additionally, in patients with severe hyponatremia and pituitary crisis, attention should be paid to the speed of serum sodium recovery. Timely recognition and management of neurological complications, such as myelinolysis, are essential for improving outcomes.