To systematically analyzed the reporting status of core elements in publicly available clinical practice guideline(hereafter referred to as "guideline") protocols published domestically and internationally over the past decade, identified existing problems, and provided evidence to inform the standardized writing and publication of future guideline protocols.

Objective: To analyze the bioinformatics of domestic Clostridium difficile toxin B(TcdB) and prepare it to provide data support for the development of effective vaccines. Methods: Using bioinformatics software such as Snippy, Blast, Muscle, and the dist.alignment() and hclust() functions in R, 1 355 strains of Clostridium difficile from NCBI GenBank in China were compared and analyzed, and TcdB were grouped. The maximum likelihood tree and phylogenetic tree were beautified and displayed using iTOL. An online bioinformatics analysis website was used to predict and analyze the spatial structure and antigenic epitopes of the two largest subgroups, TcdB1 and TcdB2. The antigen protein TcdB was expressed and purified by prokaryotic system. Results: According to the genotype of toxin B, the 1 355 prevalent strains of Clostridium difficile in China could be roughly divided into 12 subtypes, among which TcdB1 and TcdB2 were the main subtypes, accounting for more than 93.94% of all isolated strains, and about 17.20% of the strains were nontoxigenic or lack TcdB. The antigen epitope prediction of TcdB1 and TcdB2 showed that their antigen epitope distributions were basically the same, and many of them were distributed outside the C-terminal combined repetitive oligopeptides domains. Conclusion A specialized typing system for C. difficile TcdB in China has been established, and its main subtypes have been predicted for antigenic epitopes. The screened TcdB has been expressed for recombinant preparation.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

To develop a guideline terminology system and promote its standardization, thereby enhancing medical staff's accurate understanding and correct application of guidelines.

This study identified blood-entering components of Anshen Dropping Pills and explored their anti-insomnia effects and mechanisms. The main blood-entering components of Anshen Dropping Pills were detected and identified by UPLC-Q-TOF-MS/MS. The rationality of the formula was assessed by using enrichment analysis based on the relationship between drugs and symptoms, and core targets of its active components were selected as the the potential anti-insomnia targets of Anshen Dropping Pills through network pharmacology analysis. Furthermore, protein-protein interaction(PPI) network, Gene Ontology(GO) enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis were performed on the core targets. An active component-core target network for Anshen Dropping Pills was constructed. Finally, the effects of low-, medium-, and high-dose groups of Anshen Dropping Pills on sleep episodes, sleep duration, and sleep latency in mice were measured by supraliminal and subliminal pentobarbital sodium experiments. Moreover, total scores of the Pittsburgh sleep quality index(PSQI) scale was used to evaluate the changes before and after the treatment with Anshen Dropping Pills in a clinical study. The enrichment analysis based on the relationship between drugs and symptoms verified the rationality of the Anshen Dropping Pills formula, and nine blood-entering components of Anshen Dropping Pills were identified by UPLC-Q-TOF-MS/MS. The network proximity revealed a significant correlation between eight components and insomnia, including magnoflorine, liquiritin, spinosin, quercitrin, jujuboside A, ginsenoside Rb_3, glycyrrhizic acid, and glycyrrhetinic acid. Network pharmacology analysis indicated that the major anti-insomnia pathways of Anshen Dropping Pills involved substance and energy metabolism, neuroprotection, immune system regulation, and endocrine regulation. Seven core genes related to insomnia were identified: APOE, ALB, BDNF, PPARG, INS, TP53, and TNF. In summary, Anshen Dropping Pills could increase sleep episodes, prolong sleep duration, and reduce sleep latency in mice. Clinical study results demonstrated that Anshen Dropping Pills could decrease total scores of PSQI scale. This study reveals the pharmacodynamic basis and potential multi-component, multi-target, and multi-pathway effects of Anshen Dropping Pills, suggesting that its anti-insomnia mechanisms may be associated with the regulation of insomnia-related signaling pathways. These findings offer a theoretical foundation for the clinical application of Anshen Dropping Pills.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Tandem Mass Spectrometry/methods* ; Sleep Initiation and Maintenance Disorders/metabolism* ; Mice ; Network Pharmacology ; Male ; Chromatography, High Pressure Liquid ; Humans ; Protein Interaction Maps/drug effects* ; Sleep/drug effects* ; Female ; Adult

The medicinal materials of Bawei Chenxiang Pills(BCPs) were extracted via three methods: reflux extraction by water, reflux extraction by 70% ethanol, and extraction by pure water following reflux extraction by 70% ethanol, yielding three extracts of ST, CT, and CST. The efficacy of ST(760 mg·kg~(-1)), CT(620 mg·kg~(-1)), and CST(1 040 mg·kg~(-1)) were evaluated by acute myocardial ischemia(AMI) and p-chlorophenylalanine(PCPA)-induced insomnia in mice, respectively. Western blot was further utilized to investigate their hypnosis mechanisms. The main chemical components of different extracts were identified by the UPLC-Q-Exactive-MS technique. The results showed that CT and CST significantly increased the ejection fraction(EF) and fractional shortening(FS) of myocardial infarction mice, reduced left ventricular internal dimension at end-diastole(LVIDd) and left ventricular internal dimension at end-systole(LVIDs). In contrast, ST did not exhibit significant effects on these parameters. In the insomnia model, CT significantly reduced sleep latency and prolonged sleep duration, whereas ST only prolonged sleep duration without shortening sleep latency. CST showed no significant effects on either sleep latency or sleep duration. Additionally, both CT and ST upregulated glutamic acid decarboxylase 67(GAD67) protein expression in brain tissue. A total of 15 main chemical components were identified from CT, including 2-(2-phenylethyl) chromone and 6-methoxy-2-(2-phenylethyl) chromone. Six chemical components including chebulidic acid were identified from ST. The results suggested that chromones and terpenes were potential anti-myocardial ischemia drugs of BCPs, and tannin and phenolic acids were potential hypnosis drugs. This study enriches the pharmacological and chemical research of BCPs, providing a basis and reference for their secondary development, quality standard improvement, and clinical application.
Animals ; Drugs, Chinese Herbal/isolation & purification* ; Mice ; Male ; Sleep Initiation and Maintenance Disorders/physiopathology* ; Humans ; Myocardial Infarction/drug therapy* ; Myocardial Ischemia/drug therapy*

Objective To construct an automatic kidney segmentation model based on deep neural net-work on enhanced CT images.Methods The renal arterial phase images of 64 patients with chronic kidney disease(CKD)were collected from January 2019 to October 2022.According to blood creatinine estimation of glomerular filtration rate(eGFR),they were divided into the mild renal injury group,the moderate renal inju-ry group,the severe renal injury group and the control group,16 in each group.ITK-Snap software was used to outline the images layer by layer,and the areas outlined were renal parenchyma and renal cortex.The data set was randomly divided into training sets and test sets,including 40 training sets(10 in each group)and 24 test sets(6 in each group).Segmentation models of renal parenchyma and cortex were obtained and verified.The quantification results of renal parenchymal volume and cortical volume segmentation were compared.Four groups of image test sets were compared with the Dice values of the model to discuss the quantitative evalua-tion of kidney and renal cortex volume with this model,and evaluate its accuracy.Results The results of quantification of renal parenchymal volume and cortical volume segmentation performance by enhanced CT kidney segmentation model based on deep neural network showed that the Dice value of renal parenchyma was 93.53%and that of renal cortex was 81.48%.There was no significant difference in Dice values of renal parenchy-mal volume and renal cortex volume among all the groups(F=3.467,4.972,P＞0.05).Conclusion The en-hanced CT image kidney segmentation model based on deep neural network established can be used to seg-ment kidney parenchyma and cortex,and the obtained data are reliable.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

OBJECTIVE: Left ventricular remodeling induced by myocardial ischemia/reperfusion injury (MI/RI) is a common cardiac dysfunction. Accumulating evidence has demonstrated that autophagy plays a vital role in protecting against ventricular remodeling. This study aims to investigate the performance of Compound Danshen Tablets (CDT) in rescuing ventricular remodeling and whether autophagy as the potential mechanism. METHODS: The left anterior descending arteries of rats were temporarily ligated for 30 min to construct the MI/RI model. Ventricular remodeling was induced by reperfusion for 28 d, during which the MI/RI rats were administered CDT (300 mg/kg and 600 mg/kg), atorvastatin (2 mg/kg), and diltiazem (16 mg/kg). Cardiac function and structure were examined by echocardiography. Immunohistochemistry, Masson's trichrome staining, and hematoxylin-eosin (HE) staining were utilized to assess the fibrosis and histological alterations in the heart tissue. The expression of autophagy-related proteins was detected using Western blotting. RESULTS: CDT attenuated the cardiac dysfunction, structural changes, histopathological changes and fibrosis induced by MI/RI. CDT significantly enhanced the level of Beclin1 and microtubule-associated protein 1 light chain 3 beta (LC3β), and reduced p62 levels in MI/RI rats. Moreover, CDT significantly increased the phosphorylation of adenosine monophosphate-activated protein kinase (AMPK) and inhibited mammalian target of rapamycin (mTOR) phosphorylation. CONCLUSION CDT ameliorated MI/RI-induced ventricular remodeling by activating autophagy and improving autophagic flux via the AMPK/mTOR signaling pathway.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.