Psoraleae Fructus is derived from the dried fruit of the Psoralea corylifolia L. It has the effects of tonifying the kidney, strengthening the Yang, warming the spleen and stopping diarrhea, and is used for the treatment of kidney deficiency and impotence, lumbar soreness and cold pain, osteoporosis and other diseases, and it is a commonly used tonic traditional Chinese medicine in Chinese medicine clinics in China. However, in recent years, the clinical adverse reactions of Psoraleae Fructus (PF) and related preparations have been increasingly reported, especially hepatotoxicity, which has become a bottleneck in the clinical application of PF and associated preparations. The safety of PF was rarely recorded in ancient texts, but modern clinical and experimental research has shown that PF not only has direct toxicity but also has immune-idiosyncratic toxicity. For this reason, this study comprehensively analyzes the evolution of PF effect/toxicity records in ancient and modern canonical literature, and combines with the progress of modern pharmacology and toxicology research, to conduct an in-depth discussion on the clinical characteristics, causative mechanisms and risk factors of PF hepatotoxicity. On this basis, based on the three-dimensional "human-medicine-use" precise prevention and control strategy for the safety risk of traditional Chinese medicine proposed by the author's team, safety risk prevention and control measures for PF and related preparations were developed, aiming at guiding the safe and rational use of PF and related preparations in the clinic and promoting the healthy and sustainable development of PF-related industries.

OBJECTIVE: To evaluate the efficacy and safety of denosumab in the treatment of prostate cancer with bone metastases. METHODS: Relevant studies were retrieved from PubMed, EMBASE, Cochrane, Web of Science, Sinomed , CNKI and Wanfang databases. The Cochrane risk-of-bias assessment tool was used to evaluate the quality of included studies, and relevant data were extracted. meta-analysis was performed using RevMan 5.4 and RStudio software, and forest plots were generated. RESULTS: Six randomized controlled trials (RCTs) were included. Compared with the control group, denosumab significantly reduced the risk of skeletal-related events (HR=0.78, 95% CI: 0.62-0.93). In terms of safety, denosumab did not increase the risk of total adverse events, severe adverse events and the adverse events higher than CTC grade 3. CONCLUSION Denosumab can delay the time to first skeletal-related event with good safety. However, due to the limitations of this study, further high-quality, large-sample, multicenter RCTs are needed to confirm these findings.
Humans ; Denosumab/therapeutic use* ; Bone Neoplasms/drug therapy* ; Prostatic Neoplasms/drug therapy* ; Male ; Randomized Controlled Trials as Topic ; Bone Density Conservation Agents/therapeutic use*

Addressing the enduring challenge of evaluating traditional Chinese medicines (TCMs), the integrated evidence chain-based effectiveness evaluation of TCMs (Eff-iEC) has emerged. This paper explored its capacity through a demonstration study that evaluated the effectiveness evidence of six commonly used anti-hepatic fibrosis Chinese patent medicines (CPMs), including Biejiajian Pill (BP), Dahuang Zhechong Pill (DZP), Biejia Ruangan Compound (BRC), Fuzheng Huayu Capsule (FHC), Anluo Huaxian Pill (AHP), and Heluo Shugan Capsule (HSC), using both Eff-iEC and the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system. The recognition of these CPMs within the TCM academic community was also assessed through their inclusion in relevant medical documents. Results showed that the evidence of BRC and FHC received higher assessments in both Eff-iEC and GRADE system, while the assessments for others varied. Analysis of community recognition revealed that Eff-iEC more accurately reflects the clinical value of these CPMs, exhibiting superior evaluative capabilities. By breaking through the conventional pattern of TCMs effectiveness evaluation, Eff-iEC offers a novel epistemology that better aligns with the clinical realities and reasoning of TCMs, providing a coherent methodology for clinical decision-making, new drug evaluations, and health policy formulation.

Accurate timing of myelination is crucial for the proper functioning of the central nervous system. Here, we identified a de novo heterozygous mutation in TMEM63A (c.1894G>A; p. Ala632Thr) in a 7-year-old boy exhibiting hypomyelination. A Ca²⁺ influx assay suggested that this is a loss-of-function mutation. To explore how TMEM63A deficiency causes hypomyelination, we generated Tmem63a knockout mice. Genetic deletion of TMEM63A resulted in hypomyelination at postnatal day 14 (P14) arising from impaired differentiation of oligodendrocyte precursor cells (OPCs). Notably, the myelin dysplasia was transient, returning to normal levels by P28. Primary cultures of Tmem63a^-/- OPCs presented delayed differentiation. Lentivirus-based expression of TMEM63A but not TMEM63A_A632T rescued the differentiation of Tmem63a^-/- OPCs in vitro and myelination in Tmem63a^-/- mice. These data thus support the conclusion that the mutation in TMEM63A is the pathogenesis of the hypomyelination in the patient. Our study further demonstrated that TMEM63A-mediated Ca²⁺ influx plays critical roles in the early development of myelin and oligodendrocyte differentiation.
Animals ; Cell Differentiation/physiology* ; Oligodendroglia/metabolism* ; Mice, Knockout ; Mice ; Male ; Myelin Sheath/metabolism* ; Humans ; Child ; Cells, Cultured ; Oligodendrocyte Precursor Cells/metabolism*

Improving the prognosis of patients with colorectal cancer (CRC) holds important clinical and social significance. Immunotherapy is an emerging therapy approach for cancers, which mainly include immune checkpoint inhibitors (ICI), immune vaccine and adoptive cell therapy. ICI have achieved good clinical translation in treatment of metastatic CRC with deficient DNA mismatch repair/high microsatellite instability (dMMR/MSI-H) status. The application of some ICI, such as PD-1 inhibitors pembrolizumab and nivolumab, in this type patients have been approved by the FDA. In addition,numerous positive results are acquired in clinical trials of neoadjuvant therapy for resectable dMMR/MSI-H CRC. These results greatly bolstered the exploration enthusiasm of CRC immunotherapy. However, the proficient DNA mismatch repair/microsatellite stability (pMMR/MSS) CRC, which accounting for the vast majority in related patients, hardly benefit from ICI therapy. Various combination strategies, mainly including ICI combined with traditional chemotherapy, radiotherapy, or targeted therapy, have been attempted to alter the “cold tumors” microenvironment characteristics of pMMR/MSS CRC in clinical trials, whereas no breakthrough results were reached. Theoretically, tumor vaccines are ideal choice to break down the barrier of insufficient immune infiltration in solid tumors. However, the outcomes of related clinical trials in CRC patents are not satisfactory, and partially due to the weak specificity of the applied tumor-associated antigens. Clinical studies of adoptive cell therapy in CRC are also actively underway. The favorable efficacy of tumor-infiltrating lymphocyte, cytokine-induced killer (CIK) and dendritic cell-CIK in CRC have been confirmed, while the CAR-T and TCR-T therapies need more exploration based on screening more suitable antigens and optimizing engineering design. In this review, we made a summary based on the mainline of clinical studies related to diverse immunotherapies, so as to clarify the progress of CRC immunotherapy and provide bases for exploration of better treatment options.

Objective To explore the presence and potential interactions of microbes and bacteriophages in the blood of healthy individuals by employing in-depth bioinformatics mining to analyze the structure and function of the blood microbi-ome ecosystem.Methods Blood plasma samples from 1 600 voluntary blood donors collected at Mianyang Central Blood Station from 2012 to 2018 were subjected to DNA extraction and library construction.High-throughput sequencing was con-ducted using the Illumina HiSeq 4500 platform,followed by extensive bioinformatics analysis.Microbial abundance in blood samples was analyzed using metagenomic analysis software such as Bowtie2,Trimmomatic and Kraken.Subsequent phage-ome analysis included sequence quality control,assembly,identification,clustering and functional annotation using software such as Megahit,geNomad,CheckV and eggNOG-mapper.Phylogenetic trees,species annotation and host analysis and pre-diction for the identified blood bacteriophages were constructed using iTOL,BLAST and PhaBOX software.Results Met-agenomic sequencing identified microbes across 36 phyla,151 orders,338 families,338 genera and 3 757 species in the plasma samples.At the species level,the most abundant species included Bacillus cereus,Lactobacillus murinus,L.johnso-nii,Faecalibacterium prausnitzii,B.thuringiensis,L.reuteri,Cutibacterium acnes,Dietzia sp.JS16-p6b,Mycoplasma hyo-rhinis,M.hyopneumoniae and Staphylococcus aureus.Through phageome analysis,202 viral Operational Taxonomic Units(vOTUs)were identified,revealing 24 types of bacteriophages.Host analysis using the viral host database completed mat-ches for 15 potential bacteriophage hosts,including Stenotrophomonas maltophilia,Rhodoferax lacus,Pseudoalteromonas marina,Thalassotalea loyana,Vibrio alginolyticus,V.tasmaniensis,V.vulnificus,Pseudomonas sp.,Agrobacterium sp.ST15.13/040,Enterococcus gallinarum,Flavobacterium sp.,Thermotoga naphthophila,Chryseobacterium sp.RU33C,L.acidipiscis and Neisseria mucosa.Conclusion The study of the healthy human blood microbiome and phageome reveals the presence of microbes and phages in the blood,which may have profound impacts on human health.

Objectives:To investigate the effect of the expression of low-density lipoprotein receptor associated protein (LDLR) on the vascular abnormalities in hepatocellular carcinoma (HCC) and its mechanisms.Methods:Based on the information of Oncomine Cancer GeneChip database, we analyzed the correlation between the expression level of LDLR and the expression level of carcinoembryonic antigen (CEA) and CD31 in hepatocellular carcinoma tissues. Lentiviral transfection of short hairpin RNA target genes was used to construct LDLR-knockdown MHCC-97H and HLE hepatocellular carcinoma cells. The differential genes and their expression level changes in LDLR-knockdown hepatocellular carcinoma cells were detected by transcriptome sequencing, real-time fluorescence quantitative polymerase chain reaction, and protein immunoblotting. The gene-related signaling pathways that involve LDLR were clarified by enrichment analysis. The effect of LDLR on CEA was assessed by the detection of CEA content in conditioned medium of hepatocellular carcinoma cells. Angiogenesis assay was used to detect the effect of LDLR on the angiogenic capacity of human umbilical vein endothelial cells, as well as the role of CEA in the regulation of angiogenesis by LDLR. Immunohistochemical staining was used to detect the expression levels of LDLR in 176 hepatocellular carcinoma tissues, and CEA and CD31 in 146 hepatocellular carcinoma tissues, and analyze the correlations between the expression levels of LDLR, CEA, and CD31 in the tissues, serum CEA, and alanine transaminase (ALT).Results:Oncomine database analysis showed that the expressions of LDLR and CEA in the tissues of hepatocellular carcinoma patients with portal vein metastasis were negatively correlated ( r=-0.64, P=0.001), whereas the expressions of CEA and CD31 in these tissues were positively correlated ( r=0.46, P=0.010). The transcriptome sequencing results showed that there were a total of 1 032 differentially expressed genes in the LDLR-knockdown group and the control group of MHCC-97H cells, of which 517 genes were up-regulated and 515 genes were down-regulated. The transcript expression level of CEACAM5 was significantly up-regulated in the cells of the LDLR-knockdown group. The Gene Ontology (GO) function enrichment analysis showed that the differential genes were most obviously enriched in the angiogenesis function. The Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analysis showed that the relevant pathways involved mainly included the cellular adhesion patch, the extracellular matrix receptor interactions, and the interactions with the extracellular matrix receptors. The CEA content in the conditioned medium of the LDLR-knockdown group was 43.75±8.43, which was higher than that of the control group (1.15±0.14, P＜0.001). The results of angiogenesis experiments showed that at 5 h, the number of main junctions, the number of main segments, and the total area of the lattice formed by HUVEC cells cultured with the conditioned medium of MHCC-97H cells in the LDLR-knockdown group were 295.3±26.4, 552.5±63.8, and 2 239 781.0±13 8211.9 square pixels, which were higher than those of the control group (113.3±23.5, 194.8±36.5, and 660 621.0±280 328.3 square pixels, respectively, all P＜0.01).The number of vascular major junctions, the number of major segments, and the total area of the lattice formed by HUVEC cells cultured in conditioned medium with HLE cells in the LDLR-knockdown group were 245.3±42.4, 257.5±20.4, and 2 535 754.5±249 094.2 square pixels, respectively, which were all higher than those of the control group (113.3±23.5, 114.3±12.2, and 1 565 456.5±219 259.7 square pixels, respectively, all P＜0.01). In the conditioned medium for the control group of MHCC-97H cells,the number of main junctions, the number of main segments, and the total area of the lattice formed by the addition of CEA to cultured HUVEC cells were 178.9±12.0, 286.9±12.3, and 1 966 990.0±126 249.5 spixels, which were higher than those in the control group (119.7±22.1, 202.7±33.7, and 1 421 191.0±189 837.8 square pixels, respectively). The expression of LDLR in hepatocellular carcinoma tissues was not correlated with the expression of CEA, but was negatively correlated with the expression of CD31 ( r=-0.167, P=0.044), the level of serum CEA ( r=-0.061, P=0.032), and the level of serum ALT (r=-0.147, P=0.05). The expression of CEA in hepatocellular carcinoma tissues was positively correlated with the expression of CD31 ( r=0.192, P=0.020). The level of serum CEA was positively correlated with the level of serum ALT ( r=0.164, P=0.029). Conclusion:Knocking down LDLR can promote vascular abnormalities in HCC by releasing CEA.

Hyperkalemia is one of the common ion metabolism disorders in clinical practice. Hyperkalemia is defined as serum potassium higher than 5.0 mmol/L according to the guidelines at home and abroad. Acute severe hyperkalemia can cause serious consequences, such as flaccid paralysis, fatal arrhythmia, and even cardiac arrest. The use of renin-angiotensin- aldosterone system inhibitors, β-blockers and diuretics, low-sodium and high-potassium diets, and the presence of related comorbidities increase the occurrence of hyperkalemia. Hyperkalemia risk exist in all clinical departments, but there is a lack of a standardization in the management of multi- department cooperation in hospital. Therefore, a number of domestic nephrology and cardiology department experts have discussed a management model for multi-department cooperation in hyperkalemia, formulating the management standard on hospital evaluation, early warning, diagnosis and treatment, and process. This can promote each department to more effectively participate in nosocomial hyperkalemia diagnosis and treatment, as well as the long-term management of chronic hyperkalemia, improving the quality of hyperkalemia management in hospital.

Objective To build the early predictive model for chronic kidney disease(CKD)in hypertension and diabetes patients in the community.Methods The CKD patients were recruited from 4 health care centers in 4 urban areas in Kunming.The control group was residents without hypertension and diabetes(n = 1267).The disease group was residents with hypertension and/or diabetes(n = 566).The questionnaire survey,physical examination,laboratory testing,and 5 SNPs gene types in the PVT1 gene.The risk factors,which were filtered with logistics regression,were used to build predictive models.Four machine learning algorithms were built:support vector machine(SVM),random forest(RF),Na?ve Bayes(NB),and artificial neural network(ANN)models.Results Thirteen indicators included in the final diagnostic model:age,disease type,ethnicity,blood urea nitrogen,creatinine,eGFR from MDRD,ACR,eGFR from EPI2009,PAM13 score,sleep quality survey,staying-up late,PVT1 SNP rs11993333 and rs2720659.The accuracy,specificity,Kappa value,AUC of ROC,and PRC of ANN are greater than those of the other 3 models.The sensitivity of RF is the highest among 4 types of machine learning.Conclusions The ANN predictive model has a good ability of efficiency and classification to predict CKD with hypertension and/or diabetes patients in the community.