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

Continuous manufacturing, as an innovative pharmaceutical production model, offers advantages such as high production efficiency and ease of control compared to traditional batch production, aligning with the future trend of drug production moving toward greater efficiency and intelligence. However, the development of continuous manufacturing technology in wet granulation has been slow. On one hand, this is closely related to its high technical complexity, substantial equipment investment costs, and stringent process control requirements. On the other hand, the long-term use of the traditional batch production model has created strong path dependence, and the lack of mature standardized processes further increases the difficulty of technological transformation. To promote the deep integration of wet granulation technology with continuous manufacturing, this review systematically outlines the current application of wet granulation in continuous manufacturing. It focuses on the development of key technologies such as online detection, process modeling, and process scale-up, with the aim of providing a reference for process innovation and application in wet granulation.
Drug Compounding/instrumentation* ; Technology, Pharmaceutical/methods* ; Drugs, Chinese Herbal/chemistry* ; Models, Theoretical

OBJECTIVES: To evaluate the efficacy of molecular targeted agents in children with progressive pediatric low-grade gliomas (pLGG). METHODS: A retrospective analysis was conducted on pLGG patients treated with oral targeted therapies at the Department of Pediatrics, Beijing Shijitan Hospital, Capital Medical University, from July 2021. Treatment responses and safety profiles were assessed. RESULTS: Among the 20 enrolled patients, the trametinib group (n=12, including 11 cases with BRAF fusions and 1 case with BRAF V600E mutation) demonstrated 4 partial responses (33%) and 2 minor responses (17%), with a median time to response of 3.0 months. In the vemurafenib group (n=6, all with BRAF V600E mutation), 5 patients achieved partial responses (83%), showing a median time to response of 1.0 month. Comparative analysis revealed no statistically significant difference in progression-free survival rates between the two treatment groups (P>0.05). The median duration of clinical benefit (defined as partial response + minor response + stable disease) was 11.0 months for vemurafenib and 18.0 months for trametinib. Two additional cases, one with ATM mutation treated with olaparib for 24 months and one with NF1 mutation receiving everolimus for 21 months, discontinued treatment due to sustained disease stability. No severe adverse events were observed in any treatment group. CONCLUSIONS Molecular targeted therapy demonstrates clinical efficacy with favorable tolerability in pLGG. Vemurafenib achieves high response rates and induces early tumor shrinkage in patients with BRAF V600E mutations, supporting its utility as a first-line therapy.
Humans ; Glioma/genetics* ; Male ; Female ; Child ; Child, Preschool ; Retrospective Studies ; Brain Neoplasms/genetics* ; Molecular Targeted Therapy/adverse effects* ; Adolescent ; Infant ; Proto-Oncogene Proteins B-raf/genetics* ; Pyrimidinones/therapeutic use* ; Mutation

OBJECTIVE: To detect the expression of methyltransferase-like 7B ( METTL7B) in bone marrow specimens of patients with acute myeloid leukemia (AML), and to analyze its influence and significance on clinical diagnosis, treatment, and prognosis of AML patients. METHODS: Bone marrow specimens from 60 newly diagnosed AML patients were collected as the observation group, and bone marrow specimens from 20 iron-deficiency anemia (IDA) patients were collected as the control group. Clinical and pathological data of AML patients were also collected. Real-time fluorescent quantitative PCR (qRT-PCR) was used to detect the expression of METTL7B in AML patients and IDA patients. Statistical analyses were performed to investigate the relationship between the expression level of METTL7B and clinical-pathological characteristics in AML patients, as well as the impact of METTL7B expression level on efficacy. Kaplan-Meier method was used to analyze the effect of METTL7B expression level on the overall survival time (OS) in AML patients. Meanwhile, a Cox proportional hazards regression model was constructed to identify the factors potentially affecting the prognosis of AML patients. RESULTS: Compared with the control group, the expression level of METTL7B was significantly upregulated in AML patients (P < 0.05). Compared with the low-expression group of METTL7B, the high-expression group had a higher proportion of patients with high white blood cell (WBC) count, poor prognosis, and ineffective treatment, and the differences were statistically significant (P < 0.05). The OS of patients in the high-expression group of METTL7B was significantly shorter than that in the low-expression group (P < 0.05). Multivariate Cox regression analysis showed that high WBC count, poor prognosis in prognosis stratification, and high expression of METTL7B were independent risk factors for the prognosis of AML patients (P < 0.05). CONCLUSION METTL7B is highly expressed in AML patients, and patients with high METTL7B expression exhibit shorter survival and poor prognosis. METTL7B is expected to serve as a new indicator for evaluating the prognosis of AML patients and may develop into a potential target for targeted treatment of AML in the future.
Humans ; Leukemia, Myeloid, Acute/metabolism* ; Prognosis ; Methyltransferases/metabolism* ; Male ; Female ; Middle Aged ; Adult ; Proportional Hazards Models

Compared with total knee arthroplasty, unicondylar knee replacement has the advantage of preserving the knee tissue structure and motor function to the greatest extent. Pre-clinical in-vitro test is an important tool to evaluate the safety and effectiveness of unicondylar knee prostheses, and it is also a key focus of the product registration process. Through collection, comparison, and analysis of current regulations, technical standards, guidelines, and related research literature, this paper expounds on the relevant research methods for the pre-clinical in-vitrotesting of unicondylar knee prostheses. At the same time, in conjunction with current evaluation requirements and experience, the study discusses the focus of pre-clinical performance research for unicondylar knee prostheses during the registration process to clarify the performance evaluation requirements of this product category. This aims to provide a reference for the pre-clinical performance research of unicondylar knee prostheses and to standardize industry testing standards.
Knee Prosthesis ; Arthroplasty, Replacement, Knee ; Humans ; Prosthesis Design ; Materials Testing

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

Protein palmitoylation, a prevalent and dynamic form of S-acylation modification, plays a critical role in maintaining the functionality of the nervous system. This reversible process involves the attachment of palmitic acid to cysteine residues in proteins, anchoring them to cellular membranes and regulating their spatial distribution. The functioning of palmitoylation is crucial for normal neuronal activities, influencing key processes such as signal transduction, synaptic function, and protein trafficking. Recent research has increasingly underscored the significance of specific zinc finger Asp-His-His-Cys motif-containing (ZDHHC) S-acyltransferases in neuronal development and synaptic plasticity. These enzymes, which catalyze the palmitoylation of proteins, have emerged as pivotal regulators of brain function. Dysregulation of palmitoylation by these enzymes is now recognized as a potential contributor to the pathogenesis of various neurodegenerative diseases. This review provides an in-depth analysis of the expression patterns and functional diversity of ZDHHC enzymes across different brain regions and cell types. ZDHHC enzymes exhibit significant sequence variability and demonstrate region-specific and cell type-dependent expression. Such heterogeneity suggests that these enzymes may have specialized roles in different areas of the nervous system, making them crucial modulators of neuronal function and synaptic transmission. The review also explores the regulatory mechanisms of protein palmitoylation and their implications in neurodegenerative disease onset and progression. Altered palmitoylation can lead to the destabilization and subsequent aggregation of these proteins, exacerbating neurodegenerative processes. Abnormal palmitoylation of α‑synuclein can either promote or inhibit its aggregation in Parkinson’s disease pathology. Proteins related to these key pathological factors, including amyloid precursor protein (APP) and beta-secretase 1 (BACE1), are also influenced by palmitoylation, contributing to the formation of amyloid plaques through the aggregation of Aβ. Additionally, ZDHHC13 and ZDHHC17, which are abundantly and widely expressed in the brain, play crucial roles in this process. For instance, reduced interaction between ZDHHC17 and huntingtin could significantly contribute to the pathogenesis of Huntington’s disease. Thus, modulating the palmitoylation status of these proteins presents a promising therapeutic strategy to prevent their toxic aggregation and mitigate neuronal damage. Actually, regulating palmitoylation has shown potential for therapeutic interventions in neurodegenerative diseases, with studies demonstrating that modulation of palmitoylation can restore neuronal function and improve disease symptoms. Regulating palmitoylation holds significant promise for therapeutic strategies in neurodegenerative diseases, as modulation of this process can restore neuronal function and ameliorate disease symptoms. However, progress is hindered by the lack of high-resolution structural data and comprehensive targeting maps for specific ZDHHC enzymes. Additionally, current detection methods for palmitoylation, which focus on labeling and analyzing palmitic acid and cysteine residues, are often complex and time-consuming, and may produce inconsistent palmitoyl-proteomic profiles. These methodological challenges underscore the need for more robust and efficient detection technologies. A deeper understanding of palmitoylation’s role in neurological diseases, coupled with the development of improved detection methods, is essential for advancing our knowledge of the molecular underpinnings of these conditions and for the creation of innovative therapeutic strategies aimed at combating neurodegenerative diseases.

As a microbial therapy method, fecal microbiota transplantation (FMT) has attracted the attention of researchers in recent years. As one of the most direct and effective methods to improve gut microbiota, FMT achieves therapeutic benefits by transplanting functional gut microbiota from healthy human feces into the intestines of patients to reconstruct new gut microbiota. FMT has been proven to be an effective treatment for gastrointestinal diseases such as Clostridium difficile infection, irritable bowel syndrome, and inflammatory bowel disease. In addition, the clinical and basic research of FMT outside the gastrointestinal system is also emerging. It is worth noting that there is bidirectional communication between the gut microbial community and the central nervous system (CNS) through the gut-brain axis. Some gut bacteria can synthesize and release neurotransmitters such as glutamate, gamma-aminobutyric acid (GABA) and dopamine. Imbalanced gut microbiota may interfere with the normal levels of these neurotransmitters, thereby affecting brain function. Gut microbiota can also produce metabolites that may cross the blood-brain barrier and affect CNS function. FMT may affect the occurrence and development of CNS and its related diseases by reshaping the gut microbiota of patients through a variety of pathways such as nerves, immunity, and metabolites. This article introduces the development of FMT and the research status of FMT in China, and reviews the basic and clinical research of FMT in neurodegenerative diseases (Alzheimer’s disease, Parkinson’s disease), neurotraumatic diseases (spinal cord injury, traumatic brain injury) and stroke from the characteristics of three types of nervous system diseases, the characteristics of intestinal flora, and the therapeutic effect and mechanism of fecal microbiota transplantation, summarize the common mechanism of fecal microbiota transplantation in the treatment of CNS diseases and the therapeutic targets. We found that the common mechanisms of FMT in the treatment of nervous system diseases may include the following 3 categories through summary and analysis. (1) Gut microbiota metabolites, such as SCFAs, TMAO and LPS. (2) Inflammatory factors and immune inflammatory pathways such as TLR-MyD88 and NF-κB. (3) Neurotransmitter 5-HT. In the process of reviewing the studies, we found the following problems. (1) In basic researches on the relationship between FMT and CNS diseases, there are relatively few studies involving the autonomic nervous system pathway. (2) Clinical trial studies have shown that FMT improves the severity of patients’ symptoms and may be a promising treatment for a variety of neurological diseases. (3) The improvement of clinical efficacy is closely related to the choice of donor, especially emphasizing that FMT from healthy and young donors may be the key to the improvement of neurological diseases. However, there are common challenges in current research on FMT, such as the scientific and rigorous design of FMT clinical trials, including whether antibiotics are used before transplantation or different antibiotics are used, as well as different FMT processes, different donors, different functional analysis methods of gut microbiota, and the duration of FMT effect. Besides, the safety of FMT should be better elucidated, especially weighing the relationship between the therapeutic benefits and potential risks of FMT carefully. It is worth mentioning that the clinical development of FMT even exceeds its basic research. Science and TIME rated FMT as one of the top 10 breakthroughs in the field of biomedicine in 2013. FMT therapy has great potential in the treatment of nervous system diseases, is expected to open up a new situation in the medical field, and may become an innovative weapon in the medical field.