PURPOSE: To investigate the incidence and influencing factors of bone loss in patients with spinal cord injury (SCI). METHODS: A retrospective case-control study was conducted. Patients with SCI in our hospital from January 2019 to March 2023 were collected. According to the correlation between bone mineral density (BMD) at different sites, the patients were divided into the lumbar spine group and the hip joint group. According to the BMD value, the patients were divided into the normal bone mass group (t > -1.0 standard deviation) and the osteopenia group (t ≤ -1.0 standard deviation). The influencing factors accumulated as follows: gender, age, height, weight, cause of injury, injury segment, injury degree, time after injury, start time of rehabilitation, motor score, sensory score, spasticity, serum value of alkaline phosphatase, calcium, and phosphorus. The trend chart was drawn and the influencing factors were analyzed. SPSS 26.0 was used for statistical analysis. Correlation analysis was used to test the correlation between the BMD values of the lumbar spine and bilateral hips. Binary logistic regression analysis was used to explore the influencing factors of osteoporosis after SCI. p < 0.05 was considered statistically significant. RESULTS: The incidence of bone loss in patients with SCI was 66.3%. There was a low concordance between bone loss in the lumbar spine and the hip, and the hip was particularly susceptible to bone loss after SCI, with an upward trend in incidence (36% - 82%). In this study, patients with SCI were divided into the lumbar spine group (n = 100) and the hip group (n = 185) according to the BMD values of different sites. Then, the lumbar spine group was divided into the normal bone mass group (n = 53) and the osteopenia group (n = 47); the hip joint group was divided into the normal bone mass group (n = 83) and the osteopenia group (n = 102). Of these, lumbar bone loss after SCI is correlated with gender and weight (p = 0.032 and < 0.001, respectively), and hip bone loss is correlated with gender, height, weight, and time since injury (p < 0.001, p = 0.015, 0.009, and 0.012, respectively). CONCLUSIONS The incidence of bone loss after SCI was high, especially in the hip. The incidence and influencing factors of bone loss in the lumbar spine and hip were different. Patients with SCI who are male, low height, lightweight, and long time after injury were more likely to have bone loss.
Humans ; Spinal Cord Injuries/complications* ; Male ; Female ; Retrospective Studies ; Incidence ; Adult ; Bone Density ; Middle Aged ; Case-Control Studies ; Osteoporosis/etiology* ; Lumbar Vertebrae ; Bone Diseases, Metabolic/etiology* ; Aged ; Risk Factors

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Parkinson's disease (PD) is a chronic neurodegenerative disease. At present, levodopa and other drugs are mainly used for dopamine supplementation therapy. However, the absorption of levodopa in the gastrointestinal tract is unstable and its half-life is short, and long-term use of levodopa will lead to the end-of-dose deterioration, dyskinesia, the "ON-OFF" phenomenon and other symptoms. Therefore, new preparations need to be developed to improve drug efficacy, reduce side effects or improve compliance of patients. Based on the above clinical needs, this review briefly introduced the preparation modification strategies for the treatment of PD through case analysis, in order to provide references for the research and development of related preparations.

ObjectiveRecent successful restoration of the native conformation and function of the complementary-determining regions (CDRs) of antibodies on gold nanoparticles (AuNPs) demonstrates that the era of molecular conformational engineering is dawning. Basically, molecular conformational engineering aims to precisely tune flexible non-functional molecules into special conformations to carry out novel functions, in the same way as protein folding. In order to explore the general applicability of molecular conformational engineering, as well as to reveal the mechanism of protein structure-function relationship, the objective of this work is to restore the native conformation and function of the CDRs of an antibody on platinum nanoparticles (PtNPs). MethodsThe CDR fragment of the anti-lysozyme antibody cAB-lys3, which has no stable conformation or function in free state, was conjugated onto the surface of PtNPs through two Pt-S bonds. The original antigen-recognizing function of the CDR restored on PtNPs was assessed by the specific inhibition of the enzymatic activity of lysozyme by the PtNP-CDR conjugates. ResultsAfter optimization of the peptide density on the surface of PtNPs and modification of PtNPs with polyethylene glycol (PEG), the resulted PtNP-based hybrid artificial antibody (PtNP-10PEG-30P1), dubbed Platinumbody, could bind specifically to lysozyme and significantly inhibit the activity of lysozyme. ConclusionThis is the first time that the fragment of a protein could refold on PtNPs. Together with the previous Goldbody and Silverbody, current work demonstrates that artificial proteins could be generally created by restoration of the native conformation of natural proteins fragments on NPs.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Three-dimensional ordered porous carbon materials exhibit potential application prospects as excellent drug supports in drug delivery systems due to their high specific surface area, tunable pore structure, and excellent biocompatibility. In this study, three-dimensional ordered porous carbon materials were prepared using Acanthopanax senticosus herbal residues as raw material and KOH as activating agent through a one-step pyrolysis method. The prepared carbon-based material was systematically characterized by powder X-ray diffraction, scanning electron microscopy, N₂ adsorption-desorption and Fourier-transform infrared spectroscopy. The results show that the three-dimensional ordered porous carbon materials prepared with KOH as the activator via pyrolysis possess abundant functional groups, high porosity, and high specific surface area, with a specific surface area of 1 471.6 m²·g^-1. The three-dimensional ordered porous carbon materials prepared at 800 ℃ exhibits a high drug loading capacity (78.0%) and drug release rate (86.8%) for 5-fluorouracil. Three-dimensional orderly porous carbon materials show significant application advantages in drug construction, and their high specific surface area and adjustable pore size structure significantly improve the drug load rate and drug release rate, providing a solid foundation for the development of efficient and accurate drug delivery system.

italic>Salvia apiana Jepson, commonly known as white sage, is a perennial sub-shrub of the Salvia genus in the Lamiaceae family with a long medicinal history. In this study, the complete chloroplast genome of S. apiana was sequenced using PacBio HiFi third-generation sequencing technology. The physical map of the genome was constructed, and the sequence structure features, codon preference, and repetitive sequences were analyzed. Furthermore, a comparative analysis of the chloroplast genome and phylogenetic evolution with closely related species within the same genus was conducted. The chloroplast genome of S. apiana was found to have a length of 151 701 bp (GenBank accession number: OR389048), with a typical quadripartite structure and a GC content of 38.06%. A total of 132 genes were annotated, including 87 protein-coding genes, 37 tRNA genes, and 8 rRNA genes. Among them, 17 genes contained introns, and 18 genes were present in duplicate copies. Codon preference analysis revealed a preference for codons ending with A or U. Analysis of repetitive structures in the S. apiana chloroplast genome identified 170 simple sequence repeat (SSR) sites and 65 scattered repeat sequences, with the majority of SSR sites composed of A and T. Phylogenetic analysis of the complete chloroplast genomes of 21 species within the same genus showed that S. apiana is most closely related to Salvia hispanica Ettling. ex Willk. & Lange, Salvia leucantha Cav., and Salvia tiliifolia Vahl. Comparative analysis of the chloroplast genomes revealed slight contraction and expansion of the inverted repeat (IR) boundaries in S. apiana, as well as multiple highly variable regions in the chloroplast genome sequence. This study establishes a method for de novo assembling the chloroplast genome of S. apiana using third-generation sequencing data and provides a comprehensive analysis of its chloroplast genome, which can serve as a theoretical basis for studies on chloroplast genetic engineering, genetic diversity analysis, molecular breeding, and species identification.

Objective To investigate the depression level of postpartum women at the 12th month and its correlation with infant health status.Methods Selecting mothers and infants who underwent prenatal examinations and successfully gave birth at Obstetrics and Gynecology Hospital,Fudan University from Dec 1,2020 to Feb 28,2021 as the research subjects.The Chinese version of the Edinburgh Postpartum Depression Scale(EPDS)was used to evaluate the depression level of postpartum women at the 12th month.A general information questionnaire was conducted to investigate the length,weight,feeding method,medical treatment for any reason,and sleep duration of infants at the age of 12 months.The neurodevelopmental assessment form for infants aged 11-15 months was used to assess their neurodevelopmental status at the age of 12 months.Results Among the 538 postpartum women,55 cases had an EPDS score≥9,and the rate of postpartum depression(PPD)was 10.223%.The depression level of postpartum women at the 12th month was negatively correlated with the duration of infant night sleep(P=0.019)and the total duration of sleep(P=0.017).It is negatively correlated with the fine motor development(P=0.036),social development(P=0.017)and total neurological development score of infants(P=0.047).There is no correlation with infant physical growth(length and weight),feeding methods,or medical treatment for various reasons.Conclusion PPD has a negative impact on the sleep duration,fine motor development,and social development of infant,affecting the baby's neurological development.It is necessary to pay long-term attention to the mental health of the postpartum women in order to promote the healthy growth of the baby.

Osteoporotic fractures represent the most severe complications of osteoporosis,characterized by insidious onset,high mortality and disability rates,and a steadily increasing incidence,imposing a significant socioeconomic burden.Western medicine has advantages in diagnosis and surgical interventions,while traditional Chinese medicine excels in holistic manage-ment and the restoration of bodily equilibrium.The integration of both traditional Chinese medicine(TCM)and western medicine emerges as an effective therapeutic strategy for osteoporotic fractures.In order to propagate the concept of integrated diagnosis and treatment,foster the advancement of integrated medical techniques for osteoporotic fractures,and establish standardized and nor-mative protocols for disease prevention,diagnosis,and treatment,a consensus expert group,led by Geriatric Branch of Chinese Geriatrics Society,the Young Osteoporosis Group of Orthopedics Branch of Chinese Medical Association,Osteoporosis Group of Orthopedics Branch of Chinese Physician Association,and Osteoporosis Professional Committee of the Shanghai Society of Inte-grated Traditional Chinese and Western Medicine,was established.This group engaged in deliberations and formulated the"Ex-pert Consensus on Integrated Traditional Chinese and Western Medicine Diagnosis and Treatment of Osteoporotic Fractures"elu-cidating the concept of integrated medicine and offering recommendations in the domains of prevention,diagnosis,and treatment,with the aspiration of ameliorating the prognosis of osteoporotic fractures and enhancing the quality of life for these patients.

Objective:To investigate the predictive factors for the outcome of patients with complete recanalization after endovascular treatment (EVT) for acute basilar artery occlusion (ABAO).Methods:Patients with ABAO underwent EVT at Jiangsu Provincial People's Hospital and Nanjing Pukou People's Hospital from January 2015 to December 2022 were included retrospectively. Complete recanalization was defined as a modified Thrombolysis in Cerebral Infarction (mTICI) grade 3 after EVT. The main outcome measure was the clinical outcome evaluated by the modified Rankin Scale at 90 days after onset. 0-2 points were defined as good outcome and >2 points were defined as poor outcome. The secondary outcome measure was death within 90 days after onset. Multivariate logistic regression analysis was used to determine the independent predictive factors for poor outcome and mortality. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of the independent predictive factors for poor outcome or mortality. Results:A total of 73 patients with completed recanalization after EVT for ABAO were enrolled, including 55 males (75.3%), aged 67.2±1.58 years, with the median baseline National Institutes of Health Stroke Scale (NIHSS) score 23, median baseline Basilar Artery on Computed Tomography Angiography (BATMAN) score 7, and median baseline posterior circulation Alberta Stroke Program Early CT Score (pc-ASPECTS) 8. After 90 days of onset, 34 patients (46.6%) had poor outcome and 16 (21.9%) died. Multivariate logistic regression analysis showed that higher baseline NIHSS score (odds ratio [ OR] 1.151, 95% confidence interval [ CI] 1.041-1.273; P=0.006), lower baseline pc-ASPECTS ( OR 0.096, 95% CI 0.024-0.386; P=0.001), lower baseline BATMAN score ( OR 0.394, 95% CI 0.162-0.961; P=0.041), and non-first-pass recanalization ( OR 5.011, 95% CI 1.675-23.343; P=0.016) were independently associated with the poor outcome. ROC curve analysis showed that the area under the curve for predicting poor outcome by combining these independent predictive factors was 0.966 (95% CI 0.930-0.964). Multivariate logistic regression analysis showed that older age ( OR 1.147, 95% CI 1.010-1.303; P=0.035), higher baseline NIHSS score ( OR 1.236, 95% CI 1.040-1.470; P=0.016), lower baseline pc-ASPECTS ( OR 0.011, 95% CI 0.002-0.249; P=0.015), and lower baseline BATMAN score ( OR 0.050, 95% CI 0.004-0.618; P=0.020) were independently associated with mortality within 90 days after onset. ROC curve analysis showed that the area under the curve for predicting mortality by combining these independent predictive factors was 0.948 (95% CI 0.899-0.997). Conclusion:For patients with ABAO who had complete recanalization after EVT, the baseline NIHSS score, baseline pc-ASPECTS, baseline BATMAN score, and non-first-pass recanalization are the independent predictive factors for poor outcome at 90 days after onset, while age, baseline NIHSS score, baseline pc-ASPECTS, and baseline BATMAN score are the independent predictive factors for mortality within 90 days after onset.