Objective:To investigate whether the rs612529 C/T and rs11669663 G/A in VSTM1 gene are associated with leukocyte signaling inhibitory receptor-1(SIRL-1)expression and an increased risk for systemic lupus erythematosus(SLE)in a Han Chinese cohort.Methods:A total of 200 patients with SLE and 218 healthy controls(HC)were enrolled.Relevant laboratory characteris-tics of patients with SLE were also collected.Genotyping of rs612529 C/T and rs11669663 G/A were performed by Sanger sequencing technology.SIRL-1 expression was assessed in peripheral blood neutrophils and monocytes was detected by flow cytometry.Levels of autoantibodies associated with SLE were detected by ELISA.Results:In both SLE group and HC,the C allele of rs612529 was asso-ciated with a decreased expression level of SIRL-1 on monocytes,with a gradual increased in SIRL-1 protein level from the CC over the CT to the TT genotype.C allele of rs612529 was associated with higher serum anti-dsDNA antibody titers in patients with SLE(P<0.05).In the case of rs11669663 G/A,no significant association of genotypes with SLE susceptibility was detected.Conclusion:VSTM1 rs612529 C/T may contribute to SLE disease activity and regulate SIRL-1 expression on monocytes in the Han Chinese cohort.

Objective:To evaluate the changes of carotid intima thickness（CIT）and stiffness parameters in ankylosing spondylitis（AS）patients by 24 MHz ultra-high frequency ultrasound probe and RF-data based quantitative analysis on vessel stiffness（R-VQS），and to explore its influencing factors.Methods:Sixty patients with AS who underwent consultation at Henan Provincial People's Hospital from November 2023 to May 2024 were prospectively collected as AS group，54 healthy volunteers matched for sex，age，and body mass index were collected as control group. CIT were measured using a 24 MHz ultra-high frequency ultrasound probe，hardness coefficien（HC）and pulse wave velocity（PWV）were measured by R-VQS，the differences of the parameters between the two groups were compared. The changes of carotid artery elasticity and intima thickness and their influencing factors in patients with AS were explored by univariate and multivariate linear regression analysis.Results:①C-reactiveprotein，erythrocyte sedimentation rate（ESR），neutrophil count and neutrophil to lymphocyte ratio（NLR）were elevated in the AS group compared with the control group，and the differences were statistically significant（all P < 0.05）. ②CIT，carotid intima-media thickness（CIMT），HC，PWV and epicardial adipose tissue thickness（EATT）were all increased in the AS group compared with the control group，and the differences were statistically significant（all P < 0.05）. ③Multifactorial linear regression analysis showed that EATT，ESR were the main influencing factors of HC，PWV and CIT（ β=2.192，0.031；1.792，0.002；0.097，0.001；all P＜0.05）. Conclusions:Carotid CIT，CIMT，HC，PWV and EATT are all higher in the AS patients，and ESR and EATT are the main influencing factors of HC，PWV，and CIT，suggesting that more attention should be paid to the detection of ESR and EATT in patients with AS when interventions are performed clinically.

Instrument separation is a critical complication during root canal therapy, impacting treatment success and long-term tooth preservation. The etiology of instrument separation is multifactorial, involving the intricate anatomy of the root canal system, instrument-related factors, and instrumentation techniques. Instrument separation can hinder thorough cleaning, shaping, and obturation of the root canal, posing challenges to successful treatment outcomes. Although retrieval of separated instrument is often feasible, it carries risks including perforation, excessive removal of tooth structure and root fractures. Effective management of separated instruments requires a comprehensive understanding of the contributing factors, meticulous preoperative assessment, and precise evaluation of the retrieval difficulty. The application of appropriate retrieval techniques is essential to minimize complications and optimize clinical outcomes. The current manuscript provides a framework for understanding the causes, risk factors, and clinical management principles of instrument separation. By integrating effective strategies, endodontists can enhance decision-making, improve endodontic treatment success and ensure the preservation of natural dentition.
Humans ; Root Canal Therapy/adverse effects* ; Consensus ; Root Canal Preparation/adverse effects*

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

A variety of chromatographic techniques, including silica gel, ODS, Sephadex LH-20, and HPLC, were employed to isolate and purify the fermentation products of rice with Monascus sanguineus. A total of 38 compounds were isolated, and their structures were identified by UV, IR, NMR, MS, calculated ECD, and comparison with literature data. Compounds 1-4 were identified as new natural products, and other compounds were isolated from this fungus for the first time. A RAW264.7 macrophage model of lipopolysaccharide(LPS)-induced inflammation was used to evaluate the anti-inflammatory activities of all the compounds. The results showed that compound 6 exhibited a certain inhibitory effect on the production of nitric oxide in LPS-induced RAW264.7 cells, with an inhibition rate of 53.08%.
Monascus/chemistry* ; Mice ; Animals ; Anti-Inflammatory Agents/isolation & purification* ; RAW 264.7 Cells ; Macrophages/immunology* ; Nitric Oxide/immunology* ; Oryza/metabolism* ; Fermentation

INTRODUCTION: The diagnosis of sarcopenia relies on key indicators such as handgrip strength, walking speed and muscle mass. Developing a composite index that integrates these measures could enhance clinical evaluation in older adults. This study aimed to standardise and combine these metrics to establish a z score for the sarcopenia composite index (ZoSCI) tailored for the ageing population. Additionally, we explore the risk factors associated with ZoSCI to provide insights into early prevention and intervention strategies. METHOD: This retrospective study analysed data between January 2017 and December 2021 from an elderly health programme in Taiwan, applying the Asian Working Group for Sarcopenia criteria to assess sarcopenia. ZoSCI was developed by standardising handgrip strength, walking speed and muscle mass into z scores and integrating them into a composite index. Receiver operating characteristic (ROC) curve analysis was used to determine optimal cut-off values, and multiple regression analysis identified factors influencing ZoSCI. RESULTS: Among the 5047 participants, the prevalence of sarcopenia was 3.7%, lower than the reported global prevalence of 3.9-15.4%. ROC curve analysis established optimal cut-off points for distinguishing sarcopenia in ZoSCI: -1.85 (sensitivity 0.91, specificity 0.88) for males and -1.97 (sensitivity 0.93, specificity 0.88) for females. Factors associated with lower ZoSCI included advanced age, lower education levels, reduced exercise frequency, lower body mass index and creatinine levels. CONCLUSION This study introduces ZoSCI, a new compo-site quantitative indicator for identifying sarcopenia in older adults. The findings highlight specific risk factors that can inform early intervention. Future studies should validate ZoSCI globally, with international collaborations to ensure broader applicability.
Humans ; Sarcopenia/physiopathology* ; Male ; Aged ; Female ; Retrospective Studies ; Hand Strength ; Taiwan/epidemiology* ; ROC Curve ; Aged, 80 and over ; Risk Factors ; Walking Speed ; Geriatric Assessment/methods* ; Prevalence ; Muscle, Skeletal ; Middle Aged

Metabolic diseases have seen a steady increase in incidence in recent years, becoming one of the main causes of sub-health status globally. Neutrophil extracellular traps(NETs) are reticular complexes containing DNA, which trap foreign microorganisms or induce an immune response. Current research indicates that NETs are widely active in various metabolic diseases and can cause severe damage to the body through multiple mechanisms, including promoting blood glucose elevation, damaging vascular endothelial cells, forming vascular embolisms, triggering intense inflammation, and promoting lipid accumulation. Therefore, intervening in NETs is an important approach to treating metabolic diseases. Research has shown a close relationship between the theory of spleen heat-turbid toxin theory and metabolic diseases-NETs mechanism. The basic pathogenesis include the internal accumulation of phlegm-dampness, qi stagnation and blood stasis, internal accumulation of dampness-heat, phlegm and blood stasis, and flourishing toxic heat. Various Chinese herbal medicines with the functions of dispelling dampness, resolving phlegm, promoting blood circulation to remove blood stasis, and clearing heat and toxins, along with their extracts and compound prescriptions, can treat metabolic diseases by regulating NETs and delaying disease progression. This paper systematically outlined the formation mechanisms of NETs, their connection to metabolic diseases, the theoretical basis in TCM, their roles in numerous metabolic diseases, and the current research status of TCM in regulating NETs to prevent and control metabolic diseases, aiming to provide effective reference ideas for developing therapeutic strategies for metabolic diseases.
Humans ; Extracellular Traps/metabolism* ; Metabolic Diseases/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Animals ; Neutrophils/metabolism* ; Medicine, Chinese Traditional

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.