ObjectiveTo explore the current status and issues regarding the application of ancient books in clinical practice guidelines and expert consensus of traditional Chinese medicine （TCM） published in China， and to provide methodological recommendations for the incorporation of ancient books in the development of TCM guidelines. MethodsWe searched China National Knowledge Infrastructure （CNKI）， WanFang Data， VIP， SinoMed， PubMed， Embase， as well as six industry websites including China Association of Chinese Medicine， National Group Standards Information Platform， and Chinese Association of the Integration of Traditional and Western Medicine，etc. TCM clinical practice guidelines or expert consensus issued during January 1st， 2017， to November 26th， 2022 were searched. Clinical practice guidelines or expert consensus that explicitly referred to ancient books were included， and the content regarding the searching for ancient books， sources of access to ancient books， methods of evaluating the level of evidence， methods of evaluating the level of recommendation， and methods of evaluating the evidence for the ancient books were analysed. ResultsA total of 1,215 TCM clinical practice guidelines or expert consensus were retrieved， with 442 articles explicitly mentioning the application of ancient books， including 300 （67.87%） clinical practice guidelines and 142 （32.13%） expert consensus. Sixty of the 442 publications explicitly reported that ancient books searching had been conducted （13.57%）； among these 60 publications 27 （45.00%） explicitly reported ancient books searching strategies， and the most frequent method was manual searching with a total of 24 articles （40.00%）. The most popular search source was Chinese Medical Dictionary， a TCM classics database， with a total of 18 articles. 197 articles （44.57%） explicitly reported the evaluation criteria for the level of evidence， of which 141 articles （71.57%） involved the evaluation criteria for the ancient books； 413 articles （93.44%） mentioned ancient books in the recommendations， and only the source of formula name was mentioned in 409 （99.03%） of the publications. ConclusionThe current application of ancient books in TCM clinical practice guidelines and expert consensus is limited， with issues of non-standard searching and evaluation methods. Standar-dization and uniformity are needed in evidence grading and recommendation standards. Future research should clarify the scope and methods of applying ancient book， emphasize their integration with modern research evidence， and enhance their value and quality in the development of TCM clinical practice guidelines.

Objective To investigate the predictive value of serum 25-hydroxyvitamin D[25(OH)D]level in early renal transplantation for acute rejection(AR).Methods A total of 324 renal transplant recipients from January 2019 to August 2022 in the Second People's Hospital of Shanxi Province were selected.The clinical data of the recipients were collected.The levels of serum 25(OH)D,parathyroid hormone(PTH),and calcium,phosphorus in early(within 1 month)transplantation were detected by chemiluminescence immunoassay and colorimetry,respectively.The detection season was recorded,and the occurrence of AR within 1 year after renal transplantation was observed.The 25(OH)D level ≥ 20ng/ml was defined as normal,≥ 12 ng/ml～＜20 ng/ml as insufficient and＜12ng/ml as deficient,they were divided into of 25(OH)D normal group(n=106),insufficient group(n=112)and deficient group(n=106).According to the occurrence of AR,they were divided into AR group(n=51)and non-AR group(n=273).The basic situation of serum 25(OH)D level was analyzed.The differences in serum PTH,calcium,phosphorus levels and seasons as well as AR incidence among the three groups of 25(OH)D were compared.Multivariate logistic regression was used to analyze the influencing factors of AR,and receiver operating characteristic(ROC)curve was used to analyze the predictive value of serum 25(OH)D level for AR.Results The incidence of serum 25(OH)D deficiency or insufficiency was 67.28％(218/324).In the 25(OH)D normal group,insufficient group and deficiency group,the serum PTH levels were 75.44(46.42,113.23)pg/ml,78.29(58.27,152.10)pg/ml and 86.84(54.64,127.3)pg/ml,and the incidences of AR were 2.47％(8/324),6.17％(20/324)and 7.10％(23/324),respectively.All of them were the highest in the deficiency group and the lowest in the normal group,and the differences were significant(H=6.784,x2=8.580,all P＜0.05).Additionally,25(OH)D deficiency(OR=3.340,95％CI:1.409～7.916),25(OH)D insufficiency(OR=2.442,95％CI:1.006～5.925)and human leucocyte antigen(HLA)mismatch(4～6)(OR=2.117,95％CI:1.027～4.363)were independent risk factors for AR(all P＜0.05).The area under the curve(AUC)of serum 25(OH)D level in predicting AR was 0.702(95％CI:0.625～0.779),the optimal cut-off value was 13.59 ng/ml,the specificity and the sensitivity were 66.7％and 65.6％,respectively.Conclusion In this study,25(OH)D deficiency(＜12ng/ml)or insufficiency(≥ 12～＜20ng/ml)was an independent risk factor for AR,and serum 25(OH)D level may have a certain predictive value for AR.

Objective:To systemically evaluate the characteristics of cytokine levels in intraocular fluid of neovascular glaucoma (NVG).Methods:Literature on the detection of cytokine levels in NVG published before June 2022 was searched in PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang databases, and China Science and Technology Journal Database (VIP).Two investigators independently completed the literature search, inclusion, and data extraction following the inclusion and exclusion criteria.Quantitative analyses were performed using Stata 16.0 software.Study heterogeneity was assessed using the I2 test, and effects were combined using the appropriate effect model to complete the meta-analysis. Results:A total of 24 studies were screened, including 771 NVG cases and 727 age-related cataract cases (control group).The standardized mean difference ( SMD) of the combined effect value of vascular endothelial growth factor (VEGF) mass concentration in the aqueous humor between the two groups was 8.79, with a 95% confidence interval ( CI) of 6.43 to 11.14.The SMD of interleukin-6 (IL-6) between the two groups was 12.50, with a 95% CI of 9.41 to 15.58.The VEGF and IL-6 levels in aqueous humor and vitreous humor were significantly higher in NVG group than in control group (all at P<0.05).The pigment epithelium-derived factor (PEDF) level in aqueous humor was lower in NVG group than in control group ( SMD: -3.03, 95% CI: -5.50--0.55, P<0.05).The levels of IL-8 ( SMD: 3.99, 95% CI: 1.14-6.85), erythropoietin (EPO) ( SMD: 9.62, 95% CI: 0.44-18.79), placental growth factor (PIGF) ( SMD: 2.62, 95% CI: 1.38-3.86), tumor necrosis factor-α (TNF-α) ( SMD: 3.37, 95% CI: 1.87-4.87) were all significantly higher in NVG group than in control group (all at P<0.05).There was no significant difference in IL-1β level in aqueous humor between the two groups ( P>0.05). Conclusions:In NVG patients, VEGF, IL-6, IL-8, EPO, PIGF, TNF-α levels are obviously increased and PEDF level is obviously decreased.These biomarkers can be used as potential predictors or therapeutic targets for NVG.

Objective:To investigate the expression and clinical significance of microRNA-124(miR-124)and microRNA-1976(miR-1976)in the serum of patients with Parkinson's disease(PD).Methods:A total of 58 patients with PD were selected from September 2020 to June 2022 and categorized as the PD group.The Unified Parkinson's Disease Rating Scale(UPDRS)score was used to divide the PD patients into two groups: those with a UPDRS score≤60(25 patients)and those with a UPDRS score >60(33 patients). The Hoehn-Yahr grading scale was used to grade the PD patients.Additionally, 30 healthy individuals who had undergone a physical examination during the same period were selected as the control group.After collecting the subjects' serum, we performed real-time fluorescent quantitative PCR(qRT-PCR)to detect the expressions of miR-124 and miR-1976 in the serum.Logistic regression analysis was employed to analyze the influencing factors, and the diagnostic significance of serum miR-124 and miR-1976 in PD patients was evaluated using the receiver operating characteristic(ROC)curve.To predict the target genes of miR-1976, we utilized several software including TargetScan and Mirtarbase.Results:Compared to the control group, the PD group showed a significant down-regulation of serum miR-124 expression[(1.49±0.36) vs.(1.02±0.32)]( t=8.85, P<0.001), while miR-1976 expression was sharply up-regulated[(0.98±0.30) vs.(1.33±0.37)]( t=6.92, P<0.001). The low expression of serum miR-124 and the overexpression of miR-1976 were identified as independent risk factors for PD( OR>1, P<0.05). The Hoehn-Yahr rating of PD patients with a UPDRS score above 60 was higher than that of patients with a UPDRS score below 60[(3.42 ± 0.73) vs.(2.16 ± 0.42)]( t=3.05, P<0.05). However, there was no significant difference in serum miR-124 and miR-1976 expression between groups with different UPDRS scores[miR-124: (1.09±0.26) vs.(0.98±0.38)( t=0.89, P>0.05); miR-1976: (1.42±0.43) vs.(1.23±0.68)( t=0.62, P>0.05)]. The ROC analysis results demonstrated that miR-124 and miR-1976 had area under the curve(AUC)values of 0.832 and 0.797, respectively, in diagnosing PD.The corresponding cutoff values were 1.205 and 1.196, respectively.The sensitivity for miR-124 was 74.1%, while for miR-1976 it was 51.8%.The specificity for miR-124 was 77.8%, and for miR-1976 it was 90.1%.When both miR-124 and miR-1976 were combined in the diagnosis of PD, the AUC was 0.912, with a sensitivity of 76.4% and a specificity of 93.2%.Furthermore, it was found that miR-1976 targeted the PINK1 gene, suggesting its potential as a target gene in PD. Conclusions:The expression of miR-124 was found to be decreased in PD patients, while the expression of miR-1976 was increased.Both miR-124 and miR-1976 showed some reference value in PD diagnosis, and their combined diagnostic value was higher.This suggests that further study on their significance is warranted.However, it should be noted that the expressions of miR-124 and miR-1976 were not found to be correlated with the UPDRS score of PD patients.

Objective: Idiopathic intracranial hypertension (IIH) is a condition of unknown etiology associated with venous sinus stenosis. This study aimed to develop a magnetic resonance venography (MRV)-based radiomics model for predicting a high trans-stenotic pressure gradient (TPG) in IIH patients diagnosed with venous sinus stenosis. Materials and Methods: This retrospective study included 105 IIH patients (median age [interquartile range], 35 years [27– 42 years]; female:male, 82:23) who underwent MRV and catheter venography complemented by venous manometry. Contrast enhanced-MRV was conducted under 1.5 Tesla system, and the images were reconstructed using a standard algorithm. Shape features were derived from MRV images via the PyRadiomics package and selected by utilizing the least absolute shrinkage and selection operator (LASSO) method. A radiomics score for predicting high TPG (≥ 8 mmHg) in IIH patients was formulated using multivariable logistic regression; its discrimination performance was assessed using the area under the receiver operating characteristic curve (AUROC). A nomogram was constructed by incorporating the radiomics scores and clinical features. Results: Data from 105 patients were randomly divided into two distinct datasets for model training (n = 73; 50 and 23 with and without high TPG, respectively) and testing (n = 32; 22 and 10 with and without high TPG, respectively). Three informative shape features were identified in the training datasets: least axis length, sphericity, and maximum three-dimensional diameter.The radiomics score for predicting high TPG in IIH patients demonstrated an AUROC of 0.906 (95% confidence interval, 0.836– 0.976) in the training dataset and 0.877 (95% confidence interval, 0.755–0.999) in the test dataset. The nomogram showed good calibration. Conclusion Our study presents the feasibility of a novel model for predicting high TPG in IIH patients using radiomics analysis of noninvasive MRV-based shape features. This information may aid clinicians in identifying patients who may benefit from stenting.

The many-banded krait, Bungarus multicinctus, has been recorded as the animal resource of JinQianBaiHuaShe in the Chinese Pharmacopoeia. Characterization of its venoms classified chief phyla of modern animal neurotoxins. However, the evolutionary origin and diversification of its neurotoxins as well as biosynthesis of its active compounds remain largely unknown due to the lack of its high-quality genome. Here, we present the 1.58 Gbp genome of B. multicinctus assembled into 18 chromosomes with contig/scaffold N50 of 7.53 Mbp/149.8 Mbp. Major bungarotoxin-coding genes were clustered within genome by family and found to be associated with ancient local duplications. The truncation of glycosylphosphatidylinositol anchor in the 3'-terminal of a LY6E paralog released modern three-finger toxins (3FTxs) from membrane tethering before the Colubroidea divergence. Subsequent expansion and mutations diversified and recruited these 3FTxs. After the cobra/krait divergence, the modern unit-B of β-bungarotoxin emerged with an extra cysteine residue. A subsequent point substitution in unit-A enabled the β-bungarotoxin covalent linkage. The B. multicinctus gene expression, chromatin topological organization, and histone modification characteristics were featured by transcriptome, proteome, chromatin conformation capture sequencing, and ChIP-seq. The results highlighted that venom production was under a sophisticated regulation. Our findings provide new insights into snake neurotoxin research, meanwhile will facilitate antivenom development, toxin-driven drug discovery and the quality control of JinQianBaiHuaShe.

Ankylosing spondylitis (AS) combined with spinal fractures with thoracic and lumbar fracture as the most common type shows characteristics of unstable fracture, high incidence of nerve injury, high mortality and high disability rate. The diagnosis may be missed because it is mostly caused by low-energy injury, when spinal rigidity and osteoporosis have a great impact on the accuracy of imaging examination. At the same time, the treatment choices are controversial, with no relevant specifications. Non-operative treatments can easily lead to bone nonunion, pseudoarthrosis and delayed nerve injury, while surgeries may be failed due to internal fixation failure. At present, there are no evidence-based guidelines for the diagnosis and treatment of AS combined with thoracic and lumbar fracture. In this context, the Spinal Trauma Academic Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate the Clinical guideline for the diagnosis and treatment of adult ankylosing spondylitis combined with thoracolumbar fracture ( version 2023) by following the principles of evidence-based medicine and systematically review related literatures. Ten recommendations on the diagnosis, imaging evaluation, classification and treatment of AS combined with thoracic and lumbar fracture were put forward, aiming to standardize the clinical diagnosis and treatment of such disorder.

The acute combination fractures of the atlas and axis in adults have a higher rate of neurological injury and early death compared with atlas or axial fractures alone. Currently, the diagnosis and treatment choices of acute combination fractures of the atlas and axis in adults are controversial because of the lack of standards for implementation. Non-operative treatments have a high incidence of bone nonunion and complications, while surgeries may easily lead to the injury of the vertebral artery, spinal cord and nerve root. At present, there are no evidence-based Chinese guidelines for the diagnosis and treatment of acute combination fractures of the atlas and axis in adults. To provide orthopedic surgeons with the most up-to-date and effective information in treating acute combination fractures of the atlas and axis in adults, the Spinal Trauma Group of Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field of spinal trauma to develop the Evidence-based guideline for clinical diagnosis and treatment of acute combination fractures of the atlas and axis in adults ( version 2023) by referring to the "Management of acute combination fractures of the atlas and axis in adults" published by American Association of Neurological Surgeons (AANS)/Congress of Neurological Surgeons (CNS) in 2013 and the relevant Chinese and English literatures. Ten recommendations were made concerning the radiological diagnosis, stability judgment, treatment rules, treatment options and complications based on medical evidence, aiming to provide a reference for the diagnosis and treatment of acute combination fractures of the atlas and axis in adults.

Objective:To investigate the value of a preoperatively MRI-based deep learning (DL) radiomics machine learning model to distinguish low-grade and high-grade soft tissue sarcomas (STS).Methods:From November 2007 to May 2019, 151 patients with STS confirmed by pathology in the Affiliated Hospital of Qingdao University were enrolled as training sets, and 131 patients in the Affiliated Hospital of Shandong First Medical University and the Third Hospital of Hebei Medical University were enrolled as external validation sets. According to the French Federation Nationale des Centres de Lutte Contre le Cancer classification (FNCLCC) system, 161 patients with FNCLCC grades Ⅰ and Ⅱ were defined as low-grade and 121 patients with grade Ⅲ were defined as high-grade. The hand-crafted radiomic (HCR) and DL radiomic features of the lesions were extracted respectively. Based on HCR features, DL features, and HCR-DL combined features, respectively, three machine-learning models were established by decision tree, logistic regression, and support vector machine (SVM) classifiers. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each machine learning model and choose the best one. The univariate and multivariate logistic regression were used to establish a clinical-imaging factors model based on demographics and MRI findings. The nomogram was established by combining the optimal radiomics model and the clinical-imaging model. The AUC was used to evaluate the performance of each model and the DeLong test was used for comparison of AUC between every two models. The Kaplan-Meier survival curve and log-rank test were used to evaluate the performance of the optimal machine learning model in the risk stratification of progression free survival (PFS) in STS patients.Results:The SVM radiomics model based on HCR-DL combined features had the optimal predicting power with AUC values of 0.931(95%CI 0.889-0.973) in the training set and 0.951 (95%CI 0.904-0.997) in the validation set. The AUC values of the clinical-imaging model were 0.795 (95%CI 0.724-0.867) and 0.615 (95%CI 0.510-0.720), and of the nomogram was 0.875 (95%CI 0.818-0.932) and 0.786 (95%CI 0.701-0.872) in the training and validation sets, respectively. In validation set, the performance of SVM radiomics model was better than those of the nomogram and clinical-imaging models ( Z=3.16, 6.07; P=0.002,<0.001). Using the optimal radiomics model, there was statistically significant in PFS between the high and low risk groups of STS patients (training sets: χ2=43.50, P<0.001; validation sets: χ2=70.50, P<0.001). Conclusion:Preoperative MRI-based DL radiomics machine learning model has accurate prediction performance in differentiating the histopathological grading of STS. The SVM radiomics model based on HCR-DL combined features has the optimal predicting power and was expected to undergo risk stratification of prognosis in STS patients.

The development of information technology in the medical industry is accelerating the construction of 3-level rehabilitation networks centering on community-based rehabilitation, which is based on the Internet and in combination with the Internet of things(IOT). A municipal rehabilitation hospital cooperated with the health centers of sub-district communities in the city to build a remote rehabilitation network based on IOT technology, for rehabilitation training of community stroke patients. The two sides worked out a cooperation scheme on project management, designed and built a remote community rehabilitation management model. Under the remote monitoring and equipment data IOT, the medical team of the municipal rehabilitation hospital could formulate the therapeutic plan according to the immediately obtained relevant functional evaluation data, and the medical team of the community health service center was responsible for the implementation of the plan. Fifty-three patients in the experimental group received the training of remote lower limb intelligent feedback system based on IOT together with routine rehabilitation training. After 8 weeks of treatment, the functional evaluation data of the two groups were improved in varying degrees( P< 0.05), but the improvement of the experimental group was significantly better than that of the control group( P < 0.05). Remote rehabilitation under the construction path of remote rehabilitation network based on IOT technology could significantly promote the improvement of post-functional rehabilitation of community stroke patients. This study can provide reference for the construction of three-level remote rehabilitation networks based on IOT and the implementation of home-based remote rehabilitation therapy in the future.