OBJECTIVE: The aim of this study is to explore the clinical efficacy and safety of endocrinotherapy combined with Shenqi Pills on hormone-sensitive prostate cancer (HSPC). METHODS: Eighty patients who were diagnosed with HSPC and renal-yang deficiency at the First Affiliated Hospital of Hunan University of Traditional Chinese Medicine and the Hospital of Traditional Chinese Medicine of Mayang Miao Autonomous County from 1st April 2021 to 30th April 2024 were randomly divided into 2 groups. The patients in the control group were treated with androgen deprivation therapy (ADT). And the patients in treatment group were treated with Shenqi Pills orally on the basis of the control group. The baseline data of the two groups were analyzed. After 36 months of treatment, the differences between the two groups were compared in terms of overall survival (OS), prostate-specific antigen (PSA) level, PSA response rate, Functional Assessment Scale for Prostate Cancer Therapy (FACT-P), Chinese medicine evidence scores, testosterone level and safety. RESULTS: A total of 80 study subjects were included in this study, including 42 cases in the treatment group and 38 cases in the control group. There was no statistical difference in the baseline data between the two groups before treatment (P>0.05). At the end of the observation period, a statistically significant difference in OS was found in the treatment group compared to the control group in the subgroup of patients with a disease duration ranged of 0-6 months (P<0.05). There was no statistically significant difference in PSA levels in the treatment group at 3 months (P>0.05). And the differences in the proportion of PSA50 (98.1% vs 91.4%), PSA90 (92.9% vs 84.6%) and the proportion of decrease in PSA (56.7% vs 33.8%) in the treatment group were found compared to those in the control group after 6 months of tre atment. After 12 months of treatment, the scores of FACT-4 and renal-yang deficiency in the treatment group were (95.28±7.93) and (15.73±5.70) respectively, compared to the scores in the control group (［85.46±10.12］ and ［18.20±4.27］ (P<0.05). However, there was no significant difference in serum testosterone (［0.60±0.24］ nmol/L vs ［1.09±2.10］ nmol/L) between the two groups (P>0.05). After 24 months of treatment, there were significant differences in in the FACT-4 total score (［97.95±7.54］ vs ［80.33±8.58］), renal-yang deficiency syndrome score (［14.64±5.15］ vs ［24.94±8.75］) between the treatment group and the control group (P<0.05). However, there was no significant difference in serum testosterone ( ［0.73±1.01］ nmol/L vs ［0.59±0.25］ nmol/L) between the two groups (P> 0.05). Better therapeutic results were showed in the treatment group in terms of total FACT-P score, physical situation score, social and family situation score, emotional state score, functional state score, additional score and renal-yang deficiency symptom score (P<0.05). After treatment, there was no serious adverse reaction in the course of treatment, and no obvious abnormality was found in the liver and kidney function of the patients from two groups. CONCLUSION Endocrinotherapy combined with Shenqi Pills is safe and effective in HSPC and can reduce the risk of death in HSPC patients, and the earlier the intervention, the longer the overall survival of the patients. In addition, this treatment regimen can increase the PSA response rate, improve patients' quality of life, and reduce the renal-yang deficiency syndrome score without the risk of elevating serum testosterone levels.
Humans ; Male ; Drugs, Chinese Herbal/therapeutic use* ; Prostatic Neoplasms/drug therapy* ; Androgen Antagonists/therapeutic use* ; Prostate-Specific Antigen/blood* ; Aged ; Middle Aged ; Treatment Outcome ; Testosterone

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

ObjectiveTo investigate the effect of Ganoderma lucidum polysaccharides （GLP） on the proliferation， migration， cycle， and apoptosis of hepatocellular carcinoma SK­HEP­1 and Huh­7 cells and to explore the underlying mechanism. MethodSK-HEP-1 and Huh-7 cells were classified into the blank group and low-， medium-， and high-dose GLP groups （3.5， 7， 14 g·L^-1）. The proliferation of the cells was examined by cell counting kit-8 （CCK­8） assay， and the migration by scratch assay. Cell cycle was measured by flow cytometry and apoptosis was detected based on Hoechst33258 staining. In addition， the expression of phosphatidylinositol 3-kinase （PI3K）， protein kinase B （Akt）， phosphorylated PI3K （p­PI3K）， and phosphorylated Akt （p­Akt） in the cells was determined by Western blot. ResultCompared with the blank group， the three doses of GLP reduced the proliferation and migration of SK­HEP­1 and Huh­7 cells （P<0.05）， increased the percentage of cells in G₁ phase （P<0.05）， and decreased percentage of cells in S and G₂ phase （P<0.05）. In addition， the three doses can induce apoptosis of both SK-HEP-1 and Huh-7 cells， particularly the high dose. Moreover， the three doses of GLP lowered the levels of p­PI3K and p­Akt （P<0.05）. ConclusionGLP significantly inhibited the malignant phenotype of SK-HEP-1 and Huh-7 cells through the PI3K/Akt signaling pathway.

Objective:To establish and evaluate a new real-time quality control method that can identify the random errors by using the backpropagation neural network (BPNN) algorithm and taking blood glucose test as an example.Methods:A total of 219 000 blood glucose results measured by Siemens advia 2 400 analytical system from January 2019 to July 2020 and derived from Laboratory Information System of Beijing Chaoyang Hospital Laboratory Department was regarded as the unbiased data of our study. Six deviations with different sizes were introduced to generate the corresponding biased data. With each biased data, BPNN and MovSD algorithms were used and tested, and then evaluated by traceability method and clinical method.Results:For BPNN algorithm, the block size was pre-set to 10 and the false-positive rate in all biases was within 0.1%. For MovSD, however, the optimal block size and exclusive limit were 150 and 10% separately and its false-positive rate in all biases was 0.38%, which was 0.28% higher than BPNN. Especially, for the least two error factors of 0.5 and 1, all the random errors were not detected by MovSD; for the error factor larger than 1, random errors could be detected by MovSD but the MNPed was higher than that of BPNN under all deviations. The difference was up to 91.67 times. 460 000 reference data were produced by traceability procedure. The uncertainty of BPNN algorithm evaluated by these reference data was only 0.078%.Conclusion:A real-time quality control method based on BPNN algorithm was successfully established to identify random errors in analytical phase, which was more efficient than MovSD method and provided a new idea and method for the identification of random errors in clinical practice.

Objective:To investigate the application value of establishing the differential diagnosis model of pulmonary tuberculosis using routine laboratory data.Methods:The retrospective study was conducted. The routine laboratory data of newly diagnosed patients with pulmonary tuberculosis and other pulmonary diseases in Beijng Jishuitan Hospital and Beijing Hepingli Hospital from May 2015 to November 2021were collected. According to the random numbers showed in the computer, all the 11516 patients were divided into training dataset and test dataset with a ratio of 9∶1. Four machine learning algorithms, Support Vector Machine, Random Forest, K-Nearest Neighbor and Logistic Regression, were used to build models and select features. The diagnostic accuracy of each model was verified by using the 10-fold cross-validation method and the performance of each model was evaluated by using the receptor operator of characteristic (ROC) curve.Results:Random Forest was selected as the optimal machine learning algorithm to build the best feature model in the study. According to importance scale of factors, the differential diagnosis model of pulmonary tuberculosis consisting of 37 non-specific test indexes. In the validation set and test set the accuracy and area under curve (AUC) of the models were 0.747 and 0.736, the sensitivity, specificity and accuracy were 68.03% and 68.75%, 70.91% and 67.90%, 70.30% and 68.12%, respectively.Conclusion:A key tool in the differential diagnosis model of pulmonary tuberculosis was established by routine laboratory data in combination with machine learning. The results of this study need to be further verified by more data from medical institutions.

Background and Objectives: Chronic inflammation of bone tissue often results in bone defects and hazards to tissue repair and regeneration. Cannabidiol (CBD) is a natural cannabinoid with multiple biological activities, including anti-inflammatory and osteogenic potential. This study aimed to investigate the efficacy and mechanisms of CBD in the promotion of bone marrow mesenchymal stem cells (BMSCs) osteogenic differentiation in the inflammatory microenvironment. Methods: and Results: BMSCs isolated from C57BL/6 mice, expressed stem cell characteristic surface markers and pre-sented multidirectional differentiation potential. The CCK-8 assay was applied to evaluate the effects of CBD on BMSCs’ vitality, and demonstrating the safety of CBD on BMSCs. Then, BMSCs were stimulated with lipopolysaccharide (LPS) to induce inflammatory microenvironment. We found that CBD intervention down-regulated mRNA expression levels of inflammatory cytokines and promoted cells proliferation in LPS-treated BMSCs, also reversed the protein and mRNA levels downregulation of osteogenic markers caused by LPS treatment. Moreover, CBD intervention activated the cannabinoid receptor 2 (CB2) and the p38 mitogen-activated protein kinase (MAPK) signaling pathway. While AM630, a selective CB2 inhibitor, reduced phosphorylated (p)-p38 levels. In addition, AM630 and SB530689, a selective p38 MAPK inhibitor, attenuated the enhancement of osteogenic markers expression levels by CBD in inflammatory microenvironment, respectively. Conclusions CBD promoted osteogenic differentiation of BMSCs via the CB2/p38 MAPK signaling pathway in the inflammatory microenvironment.

Qualitative and quantitative methods were used to establish the quality of different medicinal parts of Poria cocos (Poriae Cutis, rubra Poria, white Poria, Poria cum Radix Pini) by using ultra-performance convergence chromatography coupled with photo-diode array and quadrupole time-of-flight mass spectrometry (UPC²-PDA-Q-TOF/MS^E). A total of 18 chromatographic peaks were detected from Poria cocos by UPC²-PDA. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to compare the four medicinal parts. The results showed that there were significant differences in the components of different medicinal parts, and the main triterpenoic acids were poricoic acid A, poricoic acid B, dehydroeburicoic acid, and dehydrotrametenolic acid. When combined with the common active component polyporenic acid C, a method for determination of five triterpenoic acids in different parts of Poria cocos was established. These components could be separated within 15 min, and the amount of methanol was 3.63% of that of HPLC method. Taking the five triterpenoid acids as an index, the content of triterpenoid acids in different parts of Poria cocos from high to low were Poriae Cutis, rubra Poria, white Poria and Poria cum Radix Pini. The method is simple, rapid, and uses minimal solvent. The mobile phase of environment-friendly gas carbon dioxide has unique advantages in reducing environmental pollution, which can provide a basis for the development and standard formulation of Poria cocos and its related products.

Objective: To analyze the clinical manifestations of a patient with branchiootic syndrome(BOS) and her families and to carry out genetic testing in order to specify the biological pathogenesis. Methods: Clinical data of the patient and her families were collected. Genomic DNA in the peripheral blood of the proband and her family members was extracted. All exons of 406 deafness-related susceptible genes as well as their flanking regions were sequenced by high-throughput sequencing, and the mutation sites of the proband and her parents were validated by Sanger sequencing. Results: There were nine members in three generations, of whom four presented with hearing loss, preauricular fistula and branchial fistula which met the diagnostic criteria of BOS. Proband and her mother presented with auricle malformation and inner ear malformation. And no one had abnormalities in the kidneys of all the patients. Pedigree analysis revealed that the mode of inheritance in the family was consistent with the autosomal dominant pattern. Mutational analysis showed that all the affected patients detected a heterozygous frameshift variation c.1255delT in the EYA1 gene, which had not been reported. Genotype and phenotype were co-isolated in this family. Such a frameshift variation produced a premature termination codon, thereby causing premature termination of translation (p.C419VFS*12). ACMG identified that the mutation was pathogenic. This mutation was novel and not detected in controls. A heterozygous missense variation mutation c.403G>A(p.G135S) in EYA1 gene was also detected in three members of this family. ACMG identified that the mutation clinical significance was uncertain. However, two of whom were normal, which seemed the disease was not caused by this mutation in this family. Conclusions: A novel frameshift mutation in EYA1(c.1255delT) is the main molecular etiology of BOS in the Chinese family. This study expands the mutational spectrum of EYA1 gene. The clinical manifestations are heterogeneous among patients in this family. The diagnosis of BOS should combine gene tests with clinical phenotypes analysis.
Branchio-Oto-Renal Syndrome/genetics* ; DNA Mutational Analysis ; Female ; Genetic Testing ; Humans ; Intracellular Signaling Peptides and Proteins/genetics* ; Mutation ; Nuclear Proteins ; Pedigree ; Protein Tyrosine Phosphatases/genetics*

Adenine/analogs & derivatives* ; Anti-HIV Agents/therapeutic use* ; Cobicistat/therapeutic use* ; Drug Combinations ; Emtricitabine/therapeutic use* ; HIV ; HIV Infections/drug therapy* ; Humans ; Postoperative Complications ; Quinolones ; Viral Load