The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure in vivo would lead to aggravated kidney damage. In this study, coated aldehyde oxy-starch (CAO) was used as an adsorbent to investigate its in vitro adsorption performance on renal failure indexes for urea, indoxyl sulfate (INS), monomethylamine (MMA), dimethylamine (DMA), uric acid (UA), and creatinine (Cr). The effects of variables such as pH, temperature, concentration, dosage, and time on the adsorption capacity of CAO were systematically investigated, employing analytical techniques of high-performance liquid chromatography (HPLC) and gas chromatography (GC). The results revealed that CAO exhibited a strong adsorption capacity for urea, INS, and MMA, alongside a moderate adsorption capacity for DMA, UA, and Cr. The adsorption kinetics and thermodynamic studies indicated that the adsorption of urea and UA by CAO were fitted in pseudo-first-order kinetics, and the adsorption isotherm aligned with the Freundlich adsorption model. The enthalpy change ΔH of urea in adsorption was in the range of 40 to 60 kJ·mol^-1, which demonstrated the presence of strong adsorption force due to the interactions of coordinating groups. The ΔH of UA was greater than 80 kJ·mol^-1, indicating the generation of chemical bonds during the adsorption. Both of them, Gibbs free energy ΔG was less than 0, within the range of -20 to 0 kJ·mol^-1, suggested that the adsorption of urea and UA by CAO occurred spontaneously as physical adsorption process. The adsorption entropy ΔS of urea and UA was > 0, which indicated an increase in entropy throughout the adsorption. The infrared spectroscopygram showed the formation of a chemical bond, specifically the imine bond, following the adsorption of urea by CAO, thereby indicating a chemical reaction during the adsorption. This study elucidates the adsorption mechanism of CAO on various indexes of renal failure, providing a scientific basis for its clinical usage.

In recent years, there has been a growing interest in the research on NOD-like receptor thermal protein domain associated protein 3(NLRP3) inflammasome inhibitors in the treatment of inflammatory diseases. The NLRP3 inflammasome is integral to the innate immune response, and its abnormal activation can lead to the release of pro-inflammatory cytokine, consequently facilitating the progression of various pathological conditions. Therefore, investigating the pharmacological inhibition pathway of the NLRP3 inflammasome represents a promising strategy for the treatment of inflammation-related diseases. Currently, the Food and Drug Administration(FDA) has not approved drugs targeting the NLRP3 inflammasome for clinical use due to concerns regarding liver toxicity and gastrointestinal side effects associated with chemical small molecule inhibitors in clinical trials. Natural small molecule compounds such as polyphenols, flavonoids, and alkaloids are ubiquitously found in animals, plants, and other natural substances exhibiting pharmacological activities. Their abundant sources, intricate and diverse structures, high biocompatibility, minimal adverse reactions, and superior biochemical potency in comparison to synthetic compounds have attracted the attention of extensive scholars. Currently, certain natural small molecule compounds have been demonstrated to impede the activation of the NLRP3 inflammasome via various action mechanisms, so they are viewed as the innovative, feasible, and minimally toxic therapeutic agents for inhibiting NLRP3 inflammasome activation in the treatment of both acute and chronic inflammatory diseases. Hence, this study systematically examined the effects and potential mechanisms of natural small molecule compounds derived from traditional Chinese medicine on the activation of NLRP3 inflammasomes at their initiation, assembly, and activation stages. The objection is to furnish theoretical support and practical guidance for the effective clinical application of these natural small molecule inhibitors.
NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Inflammasomes/metabolism* ; Inflammation/drug therapy* ; Anti-Inflammatory Agents/therapeutic use* ; Humans ; Animals ; Disease Models, Animal ; Biological Products/therapeutic use* ; Drug Discovery ; Medicine, Chinese Traditional/methods*

OBJECTIVE: To investigate the predictive value of the prognostic nutritional index (PNI) and systemic inflammatory response index (SIRI) for short-term efficacy and prognosis in newly treated patients with peripheral T-cell lymphoma (PTCL). METHODS: The general data, laboratory indicators, disease stage and other clinical data of 91 newly treated PTCL patients admitted to the Affiliated Hospital of Xuzhou Medical University from January 2015 to December 2023 were retrospectively analyzed. The optimal cutoff values for PNI and SIRI were determined using receiver operating characteristic (ROC) curves, and the patients were stratified into groups based on these cutoffs to compare clinical features and short-term efficacy between the different groups. Kaplan-Meier method was used to plot survival curves, and univariate and multivariate analyses were performed to identify the factors affecting overall survival (OS). RESULTS: The optimal cutoff values for PNI and SIRI were 45.30 and 1.74×10⁹/L, respectively. Patients in different PNI groups showed statistically significant differences in age, Ann Arbor stage, lactate dehydrogenase (LDH) level, international prognostic index (IPI), prognostic index for PTCL-not otherwise specified (PIT), pathological subtypes, and complete response (CR) rate (P < 0.05). PTCL patients in different SIRI groups exhibited significant differences in Ann Arbor stage, LDH level, IPI score, PIT score, and CR rate (P < 0.05). Logistic regression analysis showed that age ≥60 years old (OR =2.750), Ann Arbor stage Ⅲ-Ⅳ (OR =5.200), IPI score ≥2 (OR =7.650), low PNI (OR =3.296), and high SIRI (OR =3.130) were independent risk factors affecting treatment efficacy in PTCL patients (P < 0.05). Cox proportional hazards regression model analysis showed that low PNI and elevated β₂-microglobulin (β₂-MG) levels were independent risk factors affecting OS (P < 0.05). CONCLUSION PNI and SIRI have certain application value in evaluating short-term efficacy and prognosis in patients with PTCL. Compared with SIRI, PNI demonstrates greater predictive value for patient prognosis.
Humans ; Prognosis ; Lymphoma, T-Cell, Peripheral/therapy* ; Retrospective Studies ; Nutrition Assessment ; Male ; Female ; Middle Aged ; ROC Curve ; Inflammation

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

OBJECTIVE: To investigate the effect of acupuncture on advanced cancer patients by meta-analysis. METHODS: Nine databases (the Cochrane Central Register of Controlled Trials, MEDLINE, Web of Science, Embase, China National Knowledge Infrastructure, the Cumulative Index to Nursing and Allied Health Literature, Chinese Biomedical Literature Database, China Science and Technology Journal Database, and WanFang Data) were searched for randomized controlled trials (RCTs) on acupuncture in advanced cancer patients published from inception to February 13, 2023 and updated to June 1, 2023. Primary outcomes were quality of life (QOL), while secondary outcomes were pain, fatigue, and adverse events (side effects). Data synthesis was performed using RevMan V.5.3 to calculate pooled effect sizes. RoB-2 was used for the risk of bias, and the quality of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool. RESULTS: Totally 17 RCTs involving 1,178 participants were included, 15 of which were pooled for meta-analysis. Most studies demonstrated some concern for the overall risk of bias. The pooled data indicated that acupuncture was associated with improved QOL [mean difference (MD)=6.67, 95% confidence interval (CI): 5.09 to 8.26], pain (MD=-1.18, 95% CI -2.28 to -0.08), and adverse events (risk ratio=0.30, 95% CI: 0.26 to 0.57) compared with control groups. Fatigue outcome was not included. Heterogeneity was substantial, and GRADE evidence was very low for both QOL and pain. CONCLUSIONS Acupuncture could benefit patients with advanced cancer and is considered safe compared with usual care. However, the evidence regarding QOL and pain outcomes requires further validation. It is crucial to encourage the development of high-quality studies to strengthen this evidence. (Registry No. CRD42023423539).
Humans ; Acupuncture Therapy ; Neoplasms/therapy* ; Quality of Life ; Randomized Controlled Trials as Topic ; Treatment Outcome

Objective To investigate the human papillomavirus(HPV)infection and genotype distribution characteristics among male reproductive health outpatients,and to compare the differences among different age groups of outpatients.Methods A total of 1 658 males,visited in the Affiliated Hospital of Shanghai Institute of Planned Parenthood Research from 2018 to 2022,were selected and 23 HPV genotypes were detected by PCR-reverse dot hybridization.Results Among the 1 658 subjects,the overall HPV infection rate was 22.50%.Single infection accounted for 66.76%,which was the main infection type.HPV infection among different age groups were statistically significant(P<0.001),with HPV infection of 16.83%,22.87%,34.63%,and 29.35%for 18-30,31-40,41-50,and≥51 years,respectively.The top 5 high risk HPV genotypes were HPV52(3.56%),HPV16(3.26%),HPV39(2.41%),HPV51(2.17%),HPV58(2.17%),and the top 1 low risk HPV genotype was HPV81(2.90%).The proportions of infected individuals in this study that could be completely covered by bivalent,quadrivalent,and nine-valent HPV vaccines were 7.77%,12.33%,and 26.27%,respectively.Conclusion The predominant infection type among male reproductive health outpatients was single infection type.HPV 52,16,39,51 and 58 were the most common high risk genotypes,while HPV 81 was the most common low risk genotype.Individuals aged 41-50 years had the highest HPV infection rate.

Data analysis models may assist the transmission of traditional Chinese medicine （TCM） experience and clinical diagnosis and treatment， and the possibility of constructing a “data-knowledge” dual-drive model was explored by taking gastric precancerous state as an example. Data-driven is to make clinical decisions around data analysis， and its syndrome-differentiation decision-making research relies on hidden structural models and partially observable Markov decision-making processes to identify the etiology of diseases， syndrome elements， evolution of pathogenesis， and syndrome differentiation protocols； knowledge-driven is to make use of data and information to promote decision-making and action processes， and its syndrome-differentiation decision-making research relies on convolutional neural networks to improve the accuracy of local disease identification and syndrome differentiation. The “data-knowledge” dual-driven model can make up for the shortcomings of single-drive numerical simulation accuracy， and achieve a balance between local disease identification and macroscopic syndrome differentiation. On the basis of previous research， we explored the construction method of diagnostic assisted decision-making platform for gastric precancerous state， and believed that the diagnostic and decision-making ability of doctors can be extended through the assistance of machines and algorithms. Meanwhile， the related research methods were integrated and the core features of gastric precancerous state based on TCM syndrome differentiation and endoscopic pathology diagnosis and prediction were obtained， and the elements of endoscopic pathology recognition based on TCM syndrome differentiation were explored， so as to provide ideas for the in-depth research and innovative application of cutting-edge data analysis technology in the field of intelligent TCM syndrome differentiation.

Objective To investigate the effects of Astragalus polysaccharides(HPS)on farnitol X receptor(FXR)-small heterodimer chaperone receptor(SHP)signaling pathway and key proteins of glucose and lipid metabolism in diabetic rats.Methods Twelve male Wistar rats were randomly selected as blank group,and the remaining 60 rats were fed with a one-time intrabitoneal injection of streptozotocin(STZ,50 mg·kg-1)combined with a high-sugar and high-fat diet to replicate the diabetic rat model.The model rats were randomly divided into model group,positive control group(400 mg·kg-1·d-1 Bifidobacterium quadruple viable bacterial tablet suspension),experimental-H,-M,-L groups(200,100 and 50 mg·kg-1·d-1 HPS suspension),respectively.Blank group and model group were given equal volume of pure water once a day for 8 weeks.Blood glucose(Glu)was measured before and after gavage.Real-time fluorescent polymerase chain reaction(RT-PCR),Western blot were used to detect the mRNA and protein expression level of FXR,SHP,antiperoxisomal proliferator-activated receptor α(PPARα),antiphosphoenolpyruvate carboxylkinase(PEPCK),sterol regulatory receptor binding protein-1c(SREBP-1c),glucose 6 phosphatase(G6Pase).Results Glu levels in normal group,model group,positive control group and experimental-H group after treatment were(7.66±0.61),(29.25±1.64),(23.31±3.02),(19.31±5.13)mmol·L-1,respectively;the relative expression levels of FXR mRNA in liver tissues were 1.00±0.04,0.44±0.03,0.61±0.06,0.87±0.03,respectively;the relative expression levels of SHP mRNA were 1.00±0.04,0.40±0.01,0.67±0.01,0.67±0.02;the relative expression levels of G6Pase mRNA in liver tissues were 1.00±0.06,3.00±0.08,1.87±0.03,1.44±0.05,respectively;the relative expression levels of PEPCK mRNA in liver tissues were 1.00±0.04,1.88±0.03,1.31±0.02,1.23±0.04,respectively;the relative expression levels of SREBP-1c mRNA in liver tissues were 1.00±0.04,1.90±0.01,1.26±0.03,1.06±0.04;the relative expression levels of PPARα mRNA in liver tissues were 1.00±0.02,0.16±0.01,0.45±0.01,0.96±0.03,respectively.Compared with blank group,positive control group and experimental-H group,there were statistically significant differences in the above indexes between model group and blank group(all P＜0.01).The protein expression trend of FXR,SHP,G6Pase,PEPCK,SREBP-1c,PPARα was consistent with mRNA expression.Conclusion HPS may regulate FXR-SHP signaling pathway in liver tissue,inhibit the expression of key proteins of glucose and lipid metabolism,promote lipid oxidation,improve Glu and protect liver tissue in diabetic rats.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

Objective:To explore the current status of lipid-lowering therapy, the distribution of low-density lipoprotein cholesterol (LDL-C) levels and the risk assessment of cardiovascular events recurrence in patients with coronary heart disease (CHD) complicated by hypertension.Methods:This was a cross-sectional study. Patients with CHD combined with hypertension were hospitalized in the Department of Cardiology, General Hospital of Chinese People′s Liberation Army from August 5, 2008 to July 22, 2018 were included, and were divided into standard group and substandard group according to whether LDL-C reached the standard. Study data were obtained from inpatient coronary angiography records and electronic medical records database of Department of Cardiology, General Hospital of Chinese People′s Liberation Army, who used data from the first diagnosis of CHD. Clinical data of the selected patients were collected. Multivariate logistic regression model was used to analyze the associated factors of whether LDL-C reached the standard in CHD patients with hypertension.Results:A total of 18 800 patients were selected from 31 provinces/autonomous regions/municipalities directly under the central government in China, with Beijing accounting for the largest proportion (5 692 patients (30.28%)), followed by Hebei (3 621 patients (19.26%)), Henan (1 837 patients (9.77%)), and Shandong (1 618 patients (8.61%)). Among the selected patients, 1 493 had LDL-C<1.4 mmol/L (standard group), and 17 307 had LDL-C≥1.4 mmol/L (substandard group). Only 1 493 patients (7.94%) had LDL-C<1.4 mmol/L. There were 4 518 patients (24.03%), 4 366 patients (23.22%), 6 924 patients (36.83%) and 1 499 patients (7.97%) with LDL-C for 1.4-<2.0, 2.0-<2.5, 2.5-<3.8 and≥3.8 mmol/L levels, respectively. 17 855 patients (95.15%) were treated with statins, but only 1 334 patients (7.10%) were treated with statins and ezetimibe. Of the selected patients, 4 986 patients (26.52%) were at low risk, 6 515 patients (34.65%) were at intermediate risk, and 7 299 patients (38.82%) were at high risk. The combined lipid-lowering treatment rates of statin and ezetimibe in the middle-and high-risk patients were 7.43% (484/6 515) and 7.48% (546/7 299), respectively. The results of multivariate logistic regression analysis showed that increasing age, male, diabetes mellitus, stroke, and history of percutaneous coronary intervention (PCI) were positively associated with LDL-C standards in patients with CHD and hypertension, whereas obesity and acute myocardial infarction (AMI) were negatively associated with LDL-C standards (all P<0.01). Conclusions:The rate of achieving the standard LDL-C in patients with CHD combined with hypertension was low in China. Although the majority of patients had received moderate-intensity statin therapy, the proportion of statin-treated patients combined with ezetimibe was extremely low. The proportion of high-risk patients with recurrent cardiovascular events was higher in patients with CHD and hypertension in China, whereas the proportion of such patients receiving statin combined with ezetimibe lipid-lowering therapy was lower. This study also found that increasing age, male, diabetes mellitus, stroke, and history of PCI were positively associated with LDL-C standards, while obesity and AMI were negatively associated with LDL-C standards in patients with CHD and hypertension.