BACKGROUND: Renal osteodystrophy (ROD) is a skeletal pathology associated with chronic kidney disease-mineral and bone disorder (CKD-MBD) that is characterized by aberrant bone mineralization and remodeling. ROD increases the risk of fracture and mortality in CKD patients. The underlying mechanisms of ROD remain elusive, partially due to the absence of an appropriate animal model. To address this gap, we established a stable mouse model of ROD using an optimized adenine-enriched diet and conducted exploratory analyses through ribonucleic acid sequencing (RNA-seq). METHODS: Eight-week-old male C57BL/6J mice were randomly allocated into three groups: control group ( n = 5), adenine and high-phosphate (HP) diet group ( n = 20), and the optimized adenine-containing diet group ( n = 20) for 12 weeks. We assessed the skeletal characteristics of model mice through blood biochemistry, microcomputed tomography (micro-CT), and bone histomorphometry. RNA-seq was utilized to profile gene expression changes of ROD. We elucidated the functions of differentially expressed genes (DEGs) using gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and gene set enrichment analysis (GSEA). DEGs were validated via quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: By the fifth week, adenine followed by an HP diet induced rapid weight loss and high mortality rates in the mouse group, precluding further model development. Mice with optimized adenine diet-induced ROD displayed significant abnormalities in serum creatinine and blood urea nitrogen levels, accompanied by pronounced hyperparathyroidism and hyperphosphatemia. The femur bone mineral density (BMD) of the model mice was lower than that of control mice, with substantial bone loss and cortical porosity. ROD mice exhibited substantial bone turnover with an increase in osteoblast and osteoclast markers. Transcriptomic profiling revealed 1907 genes with upregulated expression and 723 genes with downregulated expression in the femurs of ROD mice relative to those of control mice. Pathway analyses indicated significant enrichment of upregulated genes in the sphingolipid metabolism pathway. The significant upregulation of alkaline ceramidase 1 ( Acer1 ), alkaline ceramidase 2 ( Acer2 ), prosaposin-like 1 ( Psapl1 ), adenosine A1 receptor ( Adora1 ), and sphingosine-1-phosphate receptor 5 ( S1pr5 ) were successfully validated in mouse femurs by qRT-PCR. CONCLUSIONS Optimized adenine diet mouse model may be a valuable proxy for studying ROD. RNA-seq analysis revealed that the sphingolipid metabolism pathway is likely a key player in ROD pathogenesis, thereby providing new avenues for therapeutic intervention.
Animals ; Mice ; Chronic Kidney Disease-Mineral and Bone Disorder/genetics* ; Male ; Disease Models, Animal ; Mice, Inbred C57BL ; Sphingolipids/metabolism* ; Transcriptome/genetics* ; Signal Transduction/genetics* ; X-Ray Microtomography ; Adenine

Mesangial cell proliferation is an early pathological indicator of diabetic nephropathy (DN). Growing evidence highlights the pivotal role of paired-related homeobox 1 (Prrx1), a key regulator of cellular proliferation and tissue differentiation, in various disease pathogenesis. Notably, Prrx1 is highly expressed in mesangial cells under DN conditions. Both in vitro and in vivo studies have demonstrated that Prrx1 overexpression promotes mesangial cell proliferation and contributes to renal fibrosis in db/m mice. Conversely, Prrx1 knockdown markedly suppresses hyperglycemia-induced mesangial cell proliferation and mitigates renal fibrosis in db/db mice. Mechanistically, Prrx1 directly interacts with the Yes-associated protein 1 (YAP) promoter, leading to the upregulation of YAP expression. This upregulation promotes mesangial cell proliferation and exacerbates renal fibrosis. These findings emphasize the crucial role of Prrx1 upregulation in high glucose-induced mesangial cell proliferation, ultimately leading to renal fibrosis in DN. Therefore, targeting Prrx1 to downregulate its expression presents a promising therapeutic strategy for treating renal fibrosis associated with DN.

Leptomeningeal metastasis(LM)is a serious late complication in patients with solid tumors,which is common in patients with lung cancer,breast cancer and melanoma.In recent years,due to the progress of diagnosis,the diagnosis rate of LM has gradually increased.The main goal of the therapy is to maintain neurological function,improve the quality of life and the overall survival rate,and prolong the progression-free survival time of patients.Intrathecal therapy is one of the main treatments for LM,which can deliver drugs directly to the subarachnoid space.The traditional intrathecal drugs are methotrexate,cytarabine and thiotepa.With the development of new research,a variety of chemotherapeutic drugs,targeted drugs and immune checkpoint inhibitors have also been used in intrathecal therapy.In addition,different ways of intrathecal administration also bring new hope to patients.This article reviewed the clinical research progress of intrathecal therapy in the treatment of LM.

Objective To investigate the diagnostic value of Xpert MTB/RIF combined with metagenic high-throughput sequencing in bacterial negative tuberculosis.Methods Retrospective analysis of 70 patients diagnosed with bacterial negative pulmonary tuberculosis from December 2019 to May 2022 enrolled in the study.Xpert MTB/RIF testing,high-throughput metagenomic sequencing,and a combination of the two were performed,respectively.Solid culture and proportional methods were used to diagnose biochemical pathogens and analyze diagnostic efficacy.The receiver operating characteristic curve was drawn with the predicted value.Results The positive rate of Xpert MTB/RIF diagnosis was 75.57%,and the negative rate was 21.43%.The positive rate of high-throughput sequencing for metagenomics was 78.57%,while the negative rate was 21.43%;The positive rate of combined diagnosis was 88.57%,and the negative rate was 11.43%.The detection sensitivity of Xpert MTB/RIF was 77.55%,the specificity was 59.86%,and the area under the curve(AUC)was 0.827.The sensitivity of high-throughput sequencing for metagenomes was 77.47%,the specificity was 61.02%,and the AUC was 0.808.The sensitivity of the combined detection was 89.75%,the specificity was 89.57%,and the AUC was 0.925.The results showed that the diagnostic sensitivity and specificity of Xpert MTB/RIF combined with high-throughput metagenomic sequencing in bacterial negative pulmonary tuberculosis were higher than those of single detection(P<0.05).Conclusion Xpert MTB/RIF combined with metagenic high-throughput sequencing has good application value in the diagnosis of bacterial negative pulmonary tuberculosis,and is worthy of clinical application.

Objective To optimize the flash extraction process of Huangyu Shenshu Granules based on Box-Behnken design-response surface methodology. Methods The extraction yields of morroniside and loganin, as well as the yield of dry extract, were used as evaluation indices. The rotation speed, liquid-solid ratio, and extraction time were selected as the investigation factors. Based on preliminary experiments, combined with Box-Behnken design-response surface methodology, the flash extraction process of Huangyu Shenshu Granules was studied and optimized. Results The optimal condition for the flash extraction of Huangyu Shenshu Granules were taking water as the extraction solvent, with a rotation speed of 4, 560 r/min, a liquid-solid ratio of 23 mL/g, and an extraction time of 85 s. Conclusion The flash extraction process established based on Box-Behnken design-response surface methodology is rapid and efficient, and suitable for the subsequent industrialization development of Huangyu Shenshu Granules.

The exploration of anesthesia and consciousness has always been an important subject in neuroscience,but the underlying neural mechanisms of consciousness are still unclear,which limits the de-velopment of anesthesia monitoring and consciousness evaluation systems.The neural correlates of conscious-ness(NCC)cannot be determined by a single brain region or mechanism,suggesting that consciousness may arise from complex interactions of brain functions on space and time scales.In order to characterize these interactions,network science has been introduced in exploring the mechanisms of consciousness.In this paper,the basic concepts and common indicators of brain network research are introduced,and the lat-est progress of brain network research in anesthesia is reviewed,so as to provide new ideas for the applica-tion of brain network indicators in clinical monitoring and provide directions for the exploration of NCC.

Objective:To explore the application value of histogram and texture feature analysis based on CT images in distinguishing long bone osteosarcoma (OS) from Ewing sarcoma (ES).Methods:A retrospective collection of 25 patients with long bone osteosarcoma and 25 patients with Ewing sarcoma confirmed by surgery and pathology in National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Qilu Hospital of Shandong University and Nanjing Drum Tower Hospital, Nanjing University Medical School, from March 2018 to May 2023 was conducted. All patients were randomly divided into a training set (21 cases of OS and 19 cases of ES) and a validation set (4 cases of OS and 6 cases of ES) in an 8∶2 ratio. The region of interest (ROI) on CT images to extract texture feature parameters was manually sketched. Random forest and least absolute shrinkage and selection operator (LASSO) algorithm were used for feature screening. Logistic regression (LR), random forest (RF), support vector machine (SVM) and K-nearest neighbor (KNN) classifiers were used to establish models respectively. Receiver operating characteristic (ROC)curve was drawn and area under the curve (AUC) was calculated to evaluate the diagnostic efficiency of the four models.Results:A total of 100 texture parameters were extracted from CT images, and 8 feature parameters (maximum 3D diameter, 10th percentile, kurtosis, maximum pixel intensity value, inverse normalization, grayscale level variance, long range high grayscale emphasis, and low grayscale area emphasis) were obtained through screening. Four classifiers were used to establish models, and the AUC values of the four models (LR, RF, SVM, KNN) in the validation group were 0.92, 0.79, 0.83, and 0.73, respectively. LR and SVM classifier algorithm trains models had high diagnostic efficiency, with an accuracy of 90%, sensitivity of 83%, specificity of 100%, and AUC of 92% for the LR classifier validation set; the accuracy of SVM classifier validation set was 80%, sensitivity was 67%, specificity was 100%, and AUC was 83%.Conclusions:LR and SVM models have high value in distinguishing OS and ES.

Objective:To investigate the effects of compound Duzhong Jiangu Granules on joint function and gut microbiota in patients with Kashin-Beck disease.Methods:A single group pre- and post-experimental design was conducted, the patients with Kashin-Beck disease were selected as the subjects in Xunyi County, Xianyang City, Shaanxi Province; and treated with oral administration of compound Duzhong Jiangu Granules (12 g/bag, 1 bag/time, 3 times/day) for a period of 1 month. The improvement of joint function was evaluated using the joint dysfunction index scoring method before and after treatment. Morning stool samples of patients were collected and the changes in gut microbiota were analyzed before and after treatment using 16S rDNA sequencing technology.Results:A total of 87 patients with Kashin-Beck disease were included, including 44 males and 43 females; the age was (60.38 ± 7.12) years old, and the body mass index was (23.67 ± 3.59) kg/m 2. The comprehensive scores of joint dysfunction index for patients with Kashin-Beck disease before and after treatment were (7.27 ± 2.05) and (5.86 ± 2.01) points, respectively, and the difference was statistically significant ( t = 5.88, P < 0.001). The sequencing results of gut microbiota showed that there were statistically significant differences in the alpha diversity (chao1, observed species index) and beta diversity of gut microbiota in patients with Kashin-Beck disease before and after treatment ( Z = - 5.08, - 5.03, R = 0.09, P < 0.001). In the distribution of gut microbiota, Firmicutes was the dominant phylum, with relative abundances of 50.21% and 52.09% before and after treatment, respectively; the Bifidobacterium was the dominant bacterial genus, with relative abundances of 16.83% and 18.81% before and after treatment, respectively. At the genus level, a total of 17 gut microbiota genera were screened out, among which the relative abundances of Hafnia-Obesumbacterium, Gammaproteobacteria_unclassified, Acinetobacter, Pantoea, Leuconostoc, and Akkermanisia were significantly higher than before treatment ( Z = - 2.40, - 2.24, - 2.06, - 3.59, - 2.24, - 2.11, P < 0.05). The relative abundances of Dubosiella, Selenomonas, Anaeroplasma, Lachnospiraceae_ NK4A136_group, Rikenella, Prevotella, Megasphaera, Lactobacillus, Prevotella-9, Phascolarctobacterium, and Desulfovibrio were significantly lower than before treatment ( Z = - 9.38, - 2.61, - 2.18, - 8.43, - 2.45, - 2.46, - 2.49, - 7.29, - 2.29, - 2.55, - 2.08, P < 0.05). Conclusions:Compound Duzhong Jiangu Granules can effectively improve the joint function of patients with Kashin-Beck disease, and alter the diversity and richness of the gut microbiota community. It may reduce clinical symptoms in patients by regulating the structure of gut microbiota.

In the earliest days,the idea that surviving a single infection often resulted in lifelong immunity to the infecting pathogen was recorded and then led to the discovery of vaccination.We have now confirmed that such protection is primarily based on the generation of immunological memory in antibody response.With the wide implementation of more and more vaccines around the world,it is well documented that different vaccines have different potential regarding to the duration of antibody response.In clinical observations,live-attenuated vaccines often elicit long-term immunity but are also accompanied with risks in safety that are hard to avoid.In order to develop novel vaccines with both excellent potential in eliciting antibody memory and low safety risk,it is critical to further investigate the mechanism of antibody memory in the perspective of immunology.Antibody memory is mediated by certain long-lived B cells:long-lived plasma cell can secret antibody to maintain serum antibody titer while memory B cell contributes to the rapid immune response during the secondary encounter of pathogens.Cellular and molecular processes that drive the production of long-lived plasma cells and memory B cells are subjects of intensive research and have important implications for global health.Several factors in the vaccine would indeed affect and regulate these processes,including the antigen valency,vaccine kinetics and the signal integration of both antigen and danger molecules.Many studies have focused on strategies to manipulate these factors to improve or develop new vaccines.Here,we will summarize our current knowledge on how the component in vaccines will affect their potential in generating and sustaining antibody memory,and also point out the challenges we face in the route of developing a"perfect"vaccine.

Objective:To analyze the short and mid-term efficacy of aortic valvuloplasty with autopericardium on children with aortic valve diseases.Methods:A total of 26 children with aortic valve diseases (stenosis or regurgitation) who underwent aortic valvuloplasty with autopericardium in Fuwai Central China Cardiovascular Hospital from September 2017 to June 2021 were retrospectively analyzed.The short-term and mid-term follow-up data were collected.The maximum aortic valve pressure gradient, subaortic regurgitation area, left ventricular end-diastolic volume (LVEDV) and left ventricular ejection fraction (LVEF) were compared before and after operation.Paired t test was used to analyze the short-term and mid-term efficacy of aortic valvuloplasty with autopericardium on children with aortic valve diseases. Results:All 26 cases were successfully operated, and there were no deaths and serious complications during the follow-up period of (22.96±6.45) months.There was a significant difference between the preoperative and postoperative maximum aortic valve pressure gradient at 1 month ( t=7.85, P<0.05), 6 months ( t=6.43, P<0.05), 1 year ( t=6.16, P<0.05) and 2 years postoperatively ( t=4.22, P<0.05) in children with aortic stenosis or that combined with mild-to-moderate closure.The follow-up data of 9 children with simple aortic stenosis showed that there was a significant difference between the preoperative (8.87±3.57) cm 2 and postoperative aortic regurgitation area at 1 month ( t=6.85, P<0.05), 6 months ( t=5.13, P<0.05), 1 year ( t=6.62, P<0.05) and 2 years postoperatively ( t=5.41, P<0.05). The LVEDV of 26 children was significantly lower at 6 months[(63.54±27.61) mL], 1 year [(53.61±20.20) mL] and 2 years postoperatively [(64.39±17.78) mL] compared with that of preoperative level[(89.42±45.89) mL]( t=3.89, 4.67, 3.58, all P<0.05). The left ventricular pressure and volume decreased, the enlarged heart was narrowed down, and the geometry of the heart was restored.The LVEF of 26 patients also from (61.65±9.67)% before surgery increased to (67.88±4.69)% 6 months after surgery( t=3.68, P<0.05), and increased to (68.62±4.46)% 1 year after surgery( t=4.01, P<0.05), and increased to (67.55±3.09)% 2 years after operation( t=3.01, P<0.05), and the heart function was improved. Conclusions:Aortic valvuloplasty with autopericardium presents an effective short and mid-term efficacy on children with aortic valve diseases, which prevents or delays the aortic valve replacement.