In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/administration & dosage* ; Machine Learning ; Algorithms ; Humans ; Quality Control

OBJECTIVE: To explore the accuracy of human-computer interaction software in identifying and locating type C1 distal radius fractures. METHODS: Based on relevant inclusion and exclusion criteria, 14 cases of type C1 distal radius fractures between September 2023 and March 2024 were retrospectively analyzed, comprising 3 males and 11 females(aged from 27 to 82 years). The data were assigned randomized identifiers. A senior orthopedic physician reviewed the films and measured the ulnar deviation angle, radial height, palmar inclination angle, intra-articular step, and intra-articular gap for each case on the hospital's imaging system. Based on the reduction standard for distal radius fractures, cases were divided into reduction group and non-reduction group. Then, the data were sequentially imported into a human-computer interaction intelligent software, where a junior orthopedic physician analyzed the same radiological parameters, categorized cases, and measured fracture details. The categorization results from the software were consistent with manual classifications (6 reduction cases and 8 non-reduction cases). For non-reduction cases, the software performed further analyses, including bone segmentation and fracture recognition, generating 8 diagnostic reports containing fracture recognition information. For the 6 reduction cases, the senior and junior orthopedic physicians independently analyzed the data on the hospital's imaging system and the AI software, respectively. Bone segments requiring reduction were identified, verified by two senior physicians, and measured for displacement and rotation along the X (inward and outward), Z (front and back), and Y (up and down) axes. The AI software generated comprehensive diagnostic reports for these cases, which included all measurements and fracture recognition details. RESULTS: Both the manual and AI software methods consistently categorized the 14 cases into 6 reduction and 8 non-reduction groups, with identical data distributions. A paired sample t-test revealed no statistically significant differences (P>0.05) between the manual and software-based measurements for ulnar deviation angle, radial ulnar bone height, palmar inclination angle, intra-articular step, and joint space. In fracture recognition, the AI software correctly identified 10 C-type fractures and 4 B-type fractures. For the 6 reduction cases, a total of 24 bone fragments were analyzed across both methods. After verification, it was found that the bone fragments identified by the two methods were consistent. A paired sample t-tests revealed that the identified bone fragments and measured displacement and rotation angles along the X, Y, and Z axes were consistent between the two methods. No statistically significant differences(P>0.05) were found between manual and software measurements for these parameters. CONCLUSION Human-computer interaction software employing AI technology demonstrated comparable accuracy to manual measurement in identifying and locating type C1 distal radius fractures on CT imaging.
Humans ; Male ; Female ; Radius Fractures/surgery* ; Middle Aged ; Adult ; Aged ; Aged, 80 and over ; Tomography, X-Ray Computed/methods* ; Retrospective Studies ; Software ; Wrist Fractures

To understand Helicobacter pylori's drug resistance,genetic diversity,and relationship with clinical diseases in the Guiyang and Qiannan minority areas of Guizhou Province,we collected samples through endoscopy,and isolated and cul-tured H.pylori.The drug resistance and genotype characteristics were determined.The differences in different regions and dis-ease types were compared,and the structural characteristics of H.pylori and mixed infections with different strains of H.py-lori in Qiannan Prefecture were analyzed.A difference in the composition ratio of EPYIA typing in the cagA variable region was observed between the two areas(P=0.012),and the composition ratio of the vacA genotype differed(P=0.000).A total of 94.6％(53/56)new sequences of H.pylori strains from two regions were obtained by MLST.The rate of infection by H.pylori mixed with different strains was 44.4％in Qiannan Pre-fecture,and no significant difference was observed in the com-position of H.pylori mixed infections among patients with dif-ferent clinical diseases(P=0.349).Differences in EPI YA typ-ing and the vacA genotype composition ratio in the cagA varia-ble region of H.pylori were observed between the Qiannan Prefecture and Guiyang City.

Metastasis-associated lung adenocarcinoma transcript 1 ( MALAT1) is a well-established oncogenic long non-coding RNA, the higher expression of which is strongly correlated with cancer events such as tumorigenesis, progression, metastasis, drug resistance, and treatment outcome in solid cancers. Recently, a series of studies has highlighted its potential role in hematological malignancies in terms of these events. Similar to solid cancers, MALAT1 can regulate various target genes via sponging and epigenetic mechanisms, but the miRNAs sponged by MALAT1 differ from those identified in solid cancers. In this review, we systematically describe the role and underlying mechanisms of MALAT1 in multiple types of hematological malignancies, including regulation of cell proliferation, metastasis, stress response, and glycolysis. Clinically, MALAT1 expression is related to poor treatment outcome and drug resistance, therefore exhibiting potential prognostic value in multiple myeloma, lymphoma, and leukemia. Finally, we discuss the evaluation of MALAT1 as a novel therapeutic target against cancer in preclinical studies.

Bladder cancer is one of the most prevalent cancers worldwide, with a high rate of recurrence and mortality, which is the ninth most common malignancy globally. Cystoscopy remains the gold standard for clinical bladder cancer diagnosis, but its invasive nature can lead to bacterial infection and inflammation. Urine cytology is a non-invasive and simple diagnostic method, but it has lower sensitivity in detecting low-grade bladder cancer and may yield false negative results. Therefore, identifying ideal diagnostic and prognostic biomarkers is crucial for accurate diagnosis and effective treatment of bladder cancer. Aptamers, characterized as single-stranded DNA or RNA with unique three-dimensional conformations, exhibit the ability to identify various targets, ranging from small molecules to tumor cells. Aptamers, also known as chemical antibodies, are generated by systematic evolution of ligands by exponential enrichment (SELEX) process and can function similarly to traditional antibodies. They hold numerous advantages over antibodies, such as ease of modification, low immunogenicity, and rapid tissue penetration and cell internalization due to their nucleic acid molecule structure. Since their discovery in the 1990s, aptamers have been widely used in biochemical analysis, disease detection, new drug research and other fields. This article provides an overview of aptamer selection and characterization for bladder cancer, discussing the research advancements involving aptamers in diagnosing and treating this disease. It covers aptamers obtained through different SELEX methods, including protein-SELEX, cell-SELEX, tissue-SELEX, and aptamers from other cancer SELEX; the detection in blood samples and urine samples; and application in targeted therapy and immunotherapy for bladder cancer. Currently, several aptamers capable of identifying bladder cancer have been generated, serving as molecular probes that have played a pivotal role in the early detection and treatment of bladder cancer. Bladder cancer perfusion therapy is well-suited for aptamer drug therapy because it does not require internal circulation, making it a suitable clinical indication for aptamer drug development. In addition, bladder cancer can be detected and monitored by collecting urine samples from patients, making it a preferred disease for clinical conversion of aptamers. While aptamers show promise, there is still much room for development compared with antibodies. There are still many clinically applied cancer biomarkers without corresponding aptamers, and more aptamers targeting different biomarkers should be selected and optimized to improve the sensitivity and accuracy for cancer detection and therapy. The field of aptamers urgently needs successful commercial products to promote its development, and home rapid detection/monitoring, imaging and targeted therapy of bladder cancer by infusion may be the breakthrough point for future application of aptamers.

Purpose::Mannitol is one of the first-line drugs for reducing cerebral edema through increasing the extracellular osmotic pressure. However, long-term administration of mannitol in the treatment of cerebral edema triggers damage to neurons and astrocytes. Given that neural stem cell (NSC) is a subpopulation of main regenerative cells in the central nervous system after injury, the effect of mannitol on NSC is still elusive. The present study aims to elucidate the role of mannitol in NSC proliferation.Methods::C57 mice were derived from the animal house of Zunyi Medical University. A total of 15 pregnant mice were employed for the purpose of isolating NSCs in this investigation. Initially, mouse primary NSCs were isolated from the embryonic cortex of mice and subsequently identified through immunofluorescence staining. In order to investigate the impact of mannitol on NSC proliferation, both cell counting kit-8 assays and neurospheres formation assays were conducted. The in vitro effects of mannitol were examined at various doses and time points. In order to elucidate the role of Aquaporin 4 (AQP4) in the suppressive effect of mannitol on NSC proliferation, various assays including reverse transcription polymerase chain reaction, western blotting, and immunocytochemistry were conducted on control and mannitol-treated groups. Additionally, the phosphorylated p38 (p-p38) was examined to explore the potential mechanism underlying the inhibitory effect of mannitol on NSC proliferation. Finally, to further confirm the involvement of the p38 mitogen-activated protein kinase-dependent (MAPK) signaling pathway in the observed inhibition of NSC proliferation by mannitol, SB203580 was employed. All data were analyzed using SPSS 20.0 software (SPSS, Inc., Chicago, IL). The statistical analysis among multiple comparisons was performed using one-way analysis of variance (ANOVA), followed by Turkey's post hoc test in case of the data following a normal distribution using a Shapiro-Wilk normality test. Comparisons between 2 groups were determined using Student's t-test, if the data exhibited a normal distribution using a Shapiro-Wilk normality test. Meanwhile, data were shown as median and interquartile range and analyzed using the Mann-Whitney U test, if the data failed the normality test. A p < 0.05 was considered as significant difference. Results::Primary NSC were isolated from the mice, and the characteristics were identified using immunostaining analysis. Thereafter, the results indicated that mannitol held the capability of inhibiting NSC proliferation in a dose-dependent and time-dependent manner using cell counting kit-8, neurospheres formation, and immunostaining of Nestin and Ki67 assays. During the process of mannitol suppressing NSC proliferation, the expression of AQP4 mRNA and protein was downregulated, while the gene expression of p-p38 was elevated by reverse transcription polymerase chain reaction, immunostaining, and western blotting assays. Subsequently, the administration of SB203580, one of the p38 MAPK signaling pathway inhibitors, partially abrogated this inhibitory effect resulting from mannitol, supporting the fact that the p38 MAPK signaling pathway participated in curbing NSC proliferation induced by mannitol.Conclusions::Mannitol inhibits NSC proliferation through downregulating AQP4, while upregulating the expression of p-p38 MAPK.

Objective To investigate the influence of volatile oil from Acori graminei Rhizoma (VOA) on expressions of glial fibrillary acidic protein (GFAP), c-Jun N-terminal protein kainse (JNK) and tumour necrosis factor-α (TNF-α) in the spinal cord dorsal horn of imflammatory pain rats. Methods Totally 36 male SD rats were randomly divided into control group (control), sham-operated group (sham), complete Freund' s adjuvant group (CFA), 5 g/(kg·d) low dose VOA+CFA group (VOA-L+CFA), 10 g/(kg·d) medium dose VOA + CFA group (VOA-M+CFA) and 20 g/(kg·d) high dose VOA + CFA group (VOA-H+CFA). All animals were sacrificed immediately after continuous gavage administration for 22 days. The expressions of GFAP, JNK and TNF-α in the spinal cord dorsal horn of rats in each group were detected by immunofluorescence and Western blotting methods. Results The present results showed that the positive expressions of GFAP, JNK and TNF-α in the spinal cord dorsal horn of rats increased significantly in the CFA group, when compared to the control and sham groups (P < 0. 01). The expressions of GFAP, JNK and TNF-α in the spinal cord dorsal horn of rats with VOA treatment reduced in the dose-dependent manner, when compared to the CFA group, the positive expressions of GFAP, JNK and TNF-α reduced significantly in the dorsal horn of the spinal cord of the VOA-H+CFA group (P<0. 05, P<0. 01). Conclusion VOA reduces the expressions of GFAP, JNK and TNF-α in the spinal cord dorsal horn of rats of CFA-induced inflammatory pain.

ObjectiveTo investigate the effect of Astragalin （AST） on apoptosis of cerebral cortex neurons in APP/PS1 transgenic mice. MethodsEighteen six-month-old male APP/PS1 transgenic mice were randomly divided into APP/PS1 group， APP/PS1+ 40 mg/kg AST group and APP/PS1+ 20 mg/kg Donepezil （DNP） group， with six mice in each group. At the same time， six male C57BL/6 mice were selected as the normal control group. After intraperitoneal injection of AST once a day and continuous administration for one month， we used Tunel staining to detect the apoptosis of neurons in the cerebral cortex of APP/PS1 mice； immunofluorescent staining to examine the expression of apoptosis-related proteins Bax， Bcl-2， Caspase9 and Cleaved-Caspase3 in the cerebral cortex neurons of APP/PS1 mice； Western blot method to evaluate the changes of the expression of Bax， Bcl-2， Caspase9 and Caspase3. ResultsTunel staining showed that 40 mg/kg AST and 20 mg/kg DNP both reduced the apoptosis of neurons in the cerebral cortex of APP/PS1 mice， AST with more significant inhibition effect. Immunofluorescent staining revealed that 40 mg/kg AST and 20 mg/kg DNP both inhibited the expression of Bax， Caspase9， and Cleaved-Caspase3， and icreased the expression of Bcl-2 in the cerebral cortex neurons of APP/PS1 mice. Western blot results further confirmed that 40 mg/kg AST and 20 mg/kg DNP both down-regulated the expression of Bax （P < 0.05， P < 0.05）， Caspase9 （P < 0.005， P < 0.05） and Caspase3 （P < 0.0001， P < 0.0001） ， and up-regulated the expresstion of Bcl-2 （P < 0.05， P < 0.05） in the cerebral cortex neurons of APP/PS1 mice. ConclusionsAST can inhibit the apoptosis of cerebral cortex neurons in APP/PS1 mice.

Objective: To explore the percentage of in-use electronic sphygmomanometers independently validated clinically in China. Methods: We conducted a cross-sectional survey and Beijing, Shenzhen, Shijiazhuang, Datong, and Shihezi were selected according to the geographical location and economic level. In each site, one tertiary hospital, two community health centers, and 20 families with electronic sphygmomanometers in use were chosen. The information of electronic sphygmomanometers including brand, model, manufacturer and production date were obtained by the trained staff. Ten electronic sphygmomanometers from each hospital, five electronic sphygmomanometers from each community health center, and one electronic sphygmomanometer from each family were surveyed, and the user's subjective judgment results and judgment basis on the accuracy of the electronic sphygmomanometer measurement were collected. We searched six registration websites (Medaval, Stride BP, dabl Educational Trust, British and Irish Hypertension Society, American Medical Association and Hypertension Canada) and two research databases (PubMed and CNKI) for the clinical validation status of each electronic sphygmomanometer. Results: A total of 200 electronic sphygmomanometers were investigated in this study, of which only 29.0% (58/200) passed independent clinical validation. When stratified by users, the percentage of being clinical validated was 46.0% (23/50) for electronic sphygmomanometers in hospitals, 42.0% (21/50) for those in community health centers and 14.0% (14/100) for those in home use, respectively, and the proportions between the three groups were significantly difference (P<0.001). Doctors in tertiary hospitals and community health service centers judged the accuracy of electronic sphygmomanometers mainly on the basis of "regular correction" (41.0% (41/100)) and "comparison with other electronic sphygmomanometers" (20.0% (20/100)), while among home users, 41.0% (41/100) were not clear about the accuracy of electronic sphygmomanometers, and 40.0% (40/100) made the judgment by "comparison with the devices in hospitals". Conclusion: The clinical validation of in-use electronic sphygmomanometers in China is low. Most of users, including healthcare professionals, are not aware of clinical validation of electronic sphygmomanometers.
Humans ; Blood Pressure Determination ; Cross-Sectional Studies ; Sphygmomanometers ; Hypertension/diagnosis* ; China ; Electronics ; Blood Pressure

The latest epidemiological data suggests that the situation of adult diabetes in China is severe, and metabolic diseases have become significant chronic illnesses that have a serious impact on public health and social development. After more than six years of practice, the National Metabolic Management Center(MMC) has developed distinctive approaches to manage metabolic patients and has achieved a series of positive outcomes, continuously advancing the standardized diagnosis and treatment model. In order to further improve the efficiency, based on the first edition, the second edition guideline was composed by incorporating experience of the past six years in conjunction with the latest international and domestic guidelines.