ObjectiveTo identify potential influencing factors of urate crystal deposition at ankle/foot in patients with hyperuricemia （HUA）， and to analyze the predictive value of inflammatory indicators for urate crystal deposition in patients with different traditional Chinese medicine （TCM） syndromes， so as to provide potential reference for clinical risk assessment and individualized TCM intervention. MethodsA retrospective study was carried out with the enrollment of 231 HUA patients from The Third Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine between January 2021 and December 2024. The enrolled patients were further divided into a crystal deposition-positive group （143 cases） and a crystal deposition-negative group （88 cases） according to the results of dual-energy computed tomography （CT）. Sociodemographic data， living habits， serum uric acid levels， and inflammatory indicators of the enrolled patients were collcted， and TCM syndrome differentiation was performed. Furthermore， univariate analysis was used to compare inter-group differences in clinical characteristics. MMultivariate Logistic regression was applied to identify the influencing factors of urate crystal deposition. In addition， the receiver operating characteristic （ROC） curves were plotted to evaluate the predictive efficacy of inflammatory indicators for crystal deposition across different TCM syndromes. ResultsThere were statistically significant inter-group differences in the proportion of males， age， body mass index， proportion of mental labor， rate of low water intake， and rate of high-sugar beverage consumption （P<0.05），whereas no significant difference in low exercise intensity was found between the two groups. Furthermore， compared with the negative group， the positive group had higher serum uric acid level， neutrophil-to-lymphocyte ratio （NLR）， and platelet-to-lymphocyte ratio （PLR）， but lower systemic immune-inflammation index （SIRI） （P<0.05）. Regarding the distribution of TCM syndromes， the positive group was dominated by the dampness-heat accumulation syndrome （55/143，38.46%）， while the negative group was mainly characterized by the phlegm-turbidity obstruction syndrome （44/88，50.00%）. Multivariate Logistic regression analysis revealed that high-sugar beverage consumption， elevated NLR， and elevated PLR were risk factors for urate crystal deposition ［odd ratio （OR） = 8.002， 5.377， 1.034， respectively； 95% CI 1.572-40.732， 2.179-13.270， 1.013-1.054，all P<0.05］， while SIRI was a protective factor （OR = 0.869， 95% CI 0.778-0.971， P<0.05）. In the positive group， patients with the dampness-heat accumulation syndrome exhibited the highest NLR， while the lowest PLR and SIRI， showing statistically significant differences with those of other syndromes （all P<0.05）. In addition， ROC curve analysis indicated that for the dampness-heat accumulation syndrome， the combined "NLR + PLR" model had an area under the curve （AUC） of 0.901 （95% CI 0.850-0.951， P<0.01）， with a sensitivity of 89.1% and a specificity of 79.5%； for the blood stasis-heat obstruction syndrome， the combined "NLR + PLR" model had an AUC of 0.880 （95% CI 0.825-0.934， P<0.01）， with a sensitivity of 100.0% and a specificity of 67.3%； for the liver-kidney Yin-deficiency syndrome， the single PLR model had an AUC of 0.842 （95% CI 0.731-0.952， P<0.01）， with a sensitivity of 83.3% and a specificity of 84.0%. ConclusionUrate crystal deposition in HUA patients exhibits intimate associations with high-sugar beverage consumption as well as elevated NLR and PLR levels. Meanwhile， TCM syndrome differentiation has potential correlation with inflammatory characteristics. The inflammatory indicator-based prediction model constructed based on TCM syndromes exhibits good predictive value.

The concept of holism is the core idea of traditional Chinese medicine （TCM）. Various organs and tissues coordinate with each other to maintain the body's life activities， with a close and mutual influence between the spleen， stomach， and the central nervous system （brain）. The gut-brain axis plays an important bridging role between the digestive system and the central nervous system， achieving bidirectional information exchange between the brain and the gastrointestinal tract through complex neuroendocrine and immune mechanisms. The theory of cross-organ interaction involves the mutual influence， coordination， and integration between different organs and systems； multimodality， on the other hand， utilizes multiple sensory modalities， such as vision， hearing， and touch， to convey information. By combining TCM theory with the gut-brain axis theory， a cross-organ multimodal characterization system is established to explore its mechanism and application value in refractory diseases such as functional gastrointestinal disorders， precancerous gastrointestinal diseases， Alzheimer's disease， Parkinson's syndrome， type 2 diabetes， and depression.

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

ObjectiveTo investigate the effect of sorafenib and donafenib on the pharmacokinetics of ertugliflozin in rats， and to provide a theoretical basis for drug combination in clinical practice. MethodsA total of 24 male Sprague-Dawley rats were randomly divided into groups A， B， C， and D， with 6 rats in each group. The rats in groups A and B were given sorafenib control solvent and sorafenib （100 mg/kg）， respectively， by gavage for 7 consecutive days， followed by ertugliflozin （1.5 mg/kg） by gavage on day 7. Blood samples were collected from the angular vein plexus at different time points， and ultra-performance liquid chromatography-tandem mass spectrometry was used to determine the mass concentration of ertugliflozin and plot the plasma concentration-time curves， while the non-compartment model in DAS 2.1.1 software was used to calculate related pharmacokinetic parameters. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups. ResultsCompared with group A， group B had significant increases in the AUC_0-t and AUC_0-∞ of the plasma concentration-time curve of ertugliflozin （both P<0.05）， significant prolongation of t_1/2， MRT_0-t， and MRT_0-∞ （all P<0.05）， and a significant reduction in CL_Z/F （P<0.05）. Compared with group C， group D had significant increases in the AUC_0-t and AUC_0-∞ of ertugliflozin （both P<0.05）， significant prolongation of T_max， t_1/2， MRT_0-t， and MRT_0-∞ （all P<0.01）， and significant reductions in V_Z/F and CL_Z/F （both P<0.05）. ConclusionBoth sorafenib and donafenib can affect the pharmacokinetics of ertugliflozin in rats and significantly increase the plasma exposure of ertugliflozin. The efficacy and adverse drug reactions of ertugliflozin should be closely monitored during combined use in clinical practice and the dose should be adjusted when necessary to avoid the potential risk of drug interaction.

This case report describes a 68-year-old male patient diagnosed with primary hepatocellular carcinoma (HCC). After receiving Yttrium-90 microsphere selective internal radiation therapy (⁹⁰Y-SIRT), the tumor significantly reduced in size, and tumor markers alpha fetoprotein (AFP) and abnormal prothrombin (PIVKA-Ⅱ) decreased. Postoperative pathological results showed minimal residual tumor cells, indicating that ⁹⁰Y-SIRT has good efficacy and safety in downstaging and conversion of HCC, thereby facilitating subsequent surgical resection.

[Objective] To evaluate the efficacy and safety of sacral neuromodulation (SNM) in the treatment of patients with benign prostatic hyperplasia (BPH) complicated with underactive bladder (UAB) who respond poorly to transurethral resection of the prostate (TURP). [Methods] A retrospective analysis was performed on 10 patients with BPH and UAB treated with TURP by the same surgeon in Zhongda Hospital Southeast University during Jan.2018 and Jan.2023.The residual urine volume was not significantly relieved after operation, and the maximum urine flow rate and urine volume per discharge were not significantly improved.All patients underwent phase I SNM, and urinary diaries were recorded before and after surgery to observe the average daily frequency of urination, volume per urination, maximum urine flow rate, and residual urine volume. [Results] The operation time was (97.6±11.2) min.During the postoperative test of 2-4 weeks, if the residual urine volume reduction by more than 50% was deemed as effective, SNM was effective in 6 patients (60.0%). Compared with preoperative results, the daily frequency of urination [(20.2±3.8) times vs. (13.2±3.2) times], volume per urination [(119.2±56.7) mL vs. (246.5±59.2) mL], maximum urine flow rate [(8.7±1.5) mL/s vs. (16.5±2.6) mL/s], and residual urine volume [(222.5±55.0) mL vs. (80.8±16.0) mL] were significantly improved, with statistical significance (P<0.05). There were no complications such as bleeding, infection, fever or pain.The 6 patients who had effective outcomes successfully completed phase II surgery, and the fistula was removed.During the follow-up of 1 year, the curative effect was stable, and there were no complications such as electrode displacement, incision infection, or pain in the irritation sites.The residual urine volume of the other 4 unsuccessful patients did not improve significantly, and the electrodes were removed and the vesicostomy tube was retained. [Conclusion] SNM is safe and effective in the treatment of BPH with UAB patients with poor curative effects after TURP.

OBJECTIVE To establish the ultra-high performance liquid chromatography （UPLC） fingerprint of Jingtian granule， and to evaluate its quality by chemical pattern recognition. METHODS Luna® Omega Polar C18 column （150 mm×2.1 mm， 1.6 μm） was used as the chromatographic column， and acetonitrile-0.2% phosphoric acid solution was used as the mobile phase for gradient elution. The flow rate was 0.2 mL/min， the column temperature was 30 ℃， and the detection wavelength was 265 nm. With peak 16 as the reference peak， the UPLC fingerprint of Jingtian granule was established by the Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）. The common peaks were identified， the similarity evaluation was carried out， and the ownership of each common peak was confirmed. Hierarchical cluster analysis （HCA） and principal component analysis （PCA） in chemical pattern recognition methods were used to classify 13 batches of samples （S1- S13）， and orthogonal partial least squares-discriminant analysis （OPLS-DA） was used to identify the key components of the differences between different batches of samples. RESULTS RSDs of precision， repeatability and stability of the UPLC method were not more than 4.4%. A total of 25 common peaks were identified in the fingerprints of 13 batches of Jingtian granules. By comparing with the reference substance fingerprint， 10 common peaks were identified， namely peak 3 （hydroxymethyl-2-furaldehyde）， peak 5 （salidroside）， peak 8（chlorogenic acid）， peak 15 （cinnamic acid）， peak 19 （aloe-emodin）， peak 20 （ammonium glycyrrhizinate）， peak 21 （rhein）， peak 23 （emodin）， peak 24 （glycyrrhetinic acid）， peak 25 （chrysophanol）. The similarities of fingerprints of 13 batches of samples were 0.955-0.996. The results of HCA showed that 13 batches of samples could be divided into three categories， among which samples S1， S5， S7， S11-S13 were clustered in one category， S4 and S6 were clustered in one category， S2， S3 and S8-S10 were clustered in one category. PCA results showed that the cumulative variance contribution rate of principal components 1-7 was 92.666%. OPLS-DA further identified 13 differential components， which were mainly derived from Polygonati Rhizoma with wine steaming， Rhodiolae Crenulatae Radix Et Rhizoma， prepared Rhei Radix Et Rhizoma and Glycyrrhizae Radix Et Rhizome Praeparata Cum Melle. CONCLUSIONS The established UPLC fingerprint of Jingtian granule is simple， stable and reproducible. Combined with the chemical pattern recognition method， it can effectively reveal the overall quality difference between different batches of Jingtian granule. The quality of Polygonati Rhizoma with wine steaming， Rhodiolae Crenulatae Radix Et Rhizoma， prepared Rhei Radix Et Rhizoma， Dioscoreae Nipponicae Rhizoma， Polyporus， Cinnamomi Ramulus， Glycyrrhizae Radix Et Rhizome Praeparata Cum Melle is the key to the overall quality of Jingtian granule.

Periodontal disease is highly prevalent, exerting detrimental effects on oral health and posing serious threats to systemic health. Over the past three decades, research exploring the impact of periodontal disease on systemic diseases has rapidly advanced. Nevertheless, numerous challenges and unanswered questions remain, necessitating further investigation. Therefore, this article first elucidates the association between periodontal disease and systemic diseases. Then, the key evidence supporting their relationship is graded according to the Oxford Centre for Evidence-Based Medicine levels of evidence criteria. Specifically, periodontal disease emerges as an independent risk factor for diabetes mellitus (level A evidence) and cardiovascular diseases (level B evidence). As such, it represents a potential risk factor for rheumatoid arthritis (level B evidence), chronic obstructive pulmonary disease (level B evidence), and inflammatory bowel disease (level B evidence). Furthermore, periodontal disease is closely linked to adverse pregnancy outcomes. Second, this article delineates the plausible mechanisms through which periodontal disease influences systemic diseases, explicitly showing that the foundational elements underlying their connection are bacteria and inflammation. The circulation pathway and saliva pathway specifically mediate this connection. Finally, in light of the current ambiguities surrounding the relationships between periodontal disease and certain systemic diseases, as well as the insufficient depth of mechanism research, this article outlines several considerations for future clinical research and animal experiment designs. Implementing large-sample, multi-center, high-quality clinical studies, utilizing multi-omics analyses for more in-depth exploration of mechanisms, and actively promoting clinical translational research are recommended. This article aims to advance the field of periodontal medicine, while simultaneously offering evidence-based insights to inform the implementation of public health policies.

Objective To investigate the changes in eosinophil counts and the activation of microglial cells in the brain tissues of mice at different stages of Angiostrongylus cantonensis infection, and to examine the role of microglia in regulating the progression of angiostrongyliasis and unravel the possible molecular mechanisms. Methods Fifty BALB/c mice were randomly divided into the control group and the 7-d, 14-d, 21-day and 25-d infection groups, of 10 mice in each group. All mice in infection groups were infected with 30 stage III A. cantonensis larvae by gavage, and animals in the control group was given an equal amount of physiological saline. Five mice were collected from each of infection groups on days 7, 14, 21 d and 25 d post-infection, and 5 mice were collected from the control group on the day of oral gavage. The general and focal functional impairment was scored using the Clark scoring method to assess the degree of mouse neurological impairment. Five mice from each of infection groups were sacrificed on days 7, 14, 21 d and 25 d post-infection, and 5 mice from the control group were sacrificed on the day of oral gavage. Mouse brain tissues were sampled, and the pathological changes of brain tissues were dynamically observed using hematoxylin and eosin (HE) staining. Immunofluorescence staining with eosinophilic cationic protein (ECP) and ionized calcium binding adaptor molecule 1 (Iba1) was used to assess the degree of eosinophil infiltration and the counts of microglial cells in mouse brain tissues in each group, and the morphological parameters of microglial cells (skeleton analysis and fractal analysis) were quantified by using Image J software to determine the morphological changes of microglial cells. In addition, the expression of M1 microglia markers Fcγ receptor III (Fcgr3), Fcγ receptor IIb (Fcgr2b) and CD86 antigen (Cd86), M2 microglia markers Arginase 1 (Arg1), macrophage mannose receptor C-type 1 (Mrc1), chitinase-like 3 (Chil3), and phagocytosis genes myeloid cell triggering receptor expressed on myeloid cells 2 (Trem2), CD68 antigen (Cd68), and apolipoprotein E (Apoe) was quantified using real-time quantitative reverse transcription PCR (RT-qPCR) assay in the mouse cerebral cortex of mice post-infection. Results A large number of A. cantonensis larvae were seen on the mouse meninges surface post-infection, and many neuronal nuclei were crumpled and deeply stained, with a large number of bleeding points in the meninges. The median Clark scores of mouse general functional impairment were 0 (interquartile range, 0), 0 (interquartile range, 0.5), 6 (interquartile range, 1.0), 14 (interquartile range, 8.5) points and 20 (interquartile range, 9.0) points in the control group and the 7-d, 14-d, 21-d and 25-d groups, respectively (H = 22.45, P < 0.01), and the median Clark scores of mouse focal functional impairment were 0 (interquartile range, 0), 2 (interquartile range, 2.5), 7 (interquartile range, 3.0), 18 (interquartile range, 5.0) points and 25 (interquartile range, 6.5) points in the control group and the 7-d, 14-d, 21-d and 25-d groups, respectively (H = 22.72, P < 0.01). The mean scores of mice general and focal functional impairment were all higher in the infection groups than in the control group (all P values < 0.05). Immunofluorescence staining showed a significant difference in the eosinophil counts in mouse brain tissues among the five groups (F = 40.05, P < 0.000 1), and the eosinophil counts were significantly higher in mouse brain tissues in the 14-d (3.08 ± 0.78) and 21-d infection groups (5.97 ± 1.37) than in the control group (1.00 ± 0.28) (both P values < 0.05). Semi-quantitative analysis of microglia immunofluorescence showed a significant difference in the counts of microglial cells among the five groups (F = 17.66, P < 0.000 1), and higher Iba1 levels were detected in mouse brain tissues in 14-d (5.75 ± 1.28), 21-d (6.23 ± 1.89) and 25-d infection groups (3.70 ± 1.30) than in the control group (1.00 ± 0.30) (all P values < 0.05). Skeleton and fractal analyses showed that the branch length [(162.04 ± 34.10) μm vs. (395.37 ± 64.11) μm; t = 5.566, P < 0.05] and fractal dimension of microglial cells (1.30 ± 0.01 vs. 1.41 ± 0.03; t = 5.266, P < 0.05) were reduced in mouse brain tissues in the 21-d infection group relative to the control group. In addition, there were significant differences among the 5 groups in terms of M1 and M2 microglia markers Fcgr3 (F = 48.34, P < 0.05), Fcgr2b (F = 55.46, P < 0.05), Cd86 (F = 24.44, P < 0.05), Arg1 (F = 31.18, P < 0.05), Mrc1 (F = 15.42, P < 0.05) and Chil3 (F = 24.41, P < 0.05), as well as phagocytosis markers Trem2 (F = 21.19, P < 0.05), Cd68 (F = 43.95, P < 0.05) and Apoe (F = 7.12, P < 0.05) in mice brain tissues. Conclusions A. cantonensis infections may induce severe pathological injuries in mouse brain tissues that are characterized by massive eosinophil infiltration and persistent activation of microglia cells, thereby resulting in progressive deterioration of neurological functions.

Purpose: Diagnosing sarcopenia necessitates the measurement of skeletal muscle mass. However, guidelines lack a standardized imaging modality with thresholds validated among Asians. This systematic review compared ultrasonography, computed tomography (CT), magnetic resonance imaging (MRI), and bioelectrical impedance analysis (BIA)/body composition monitoring in the detection of sarcopenia within Asian populations. Methods: PubMed and Embase were systematically searched for studies analyzing ultrasonography, CT, MRI, and BIA in diagnosing sarcopenia among Asians. Study quality was assessed using the Newcastle-Ottawa scale. Results: Pooled findings from 21,598 patients across 25 studies were examined. In receiver operating characteristic analysis, ultrasound displayed a pooled mean area under the curve (AUC) of 0.767 (95% confidence interval [CI], 0.709–0.806), with mean sensitivity of 81.1% (95% CI, 0.744–0.846) and specificity of 73.1% (95% CI, 0.648–0.774), for detecting sarcopenia in Asian populations. CT exhibited an AUC of 0.720 (sensitivity, 54.0%; specificity, 92.0%). MRI demonstrated an AUC of 0.839 (sensitivity, 67.0%; specificity, 66.0%). BIA displayed an AUC of 0.905 (95% CI, 0.842–0.968), 80.7% sensitivity (95% CI, 0.129–0.679), and 82.4% specificity (95% CI, 0.191–0.633). Conclusion Various modalities aid in diagnosing sarcopenia, and selection should be individualized. Although only BIA and dual-energy x-ray absorptiometry are recommended by the Asian Working Group for Sarcopenia and the European Working Group on Sarcopenia in Older People, ultrasound imaging may hold diagnostic value for sarcopenia in the Asian population. In certain groups, diagnostic use of CT and MRI is warranted. Future research can standardize and validate modality-specific thresholds and protocols within Asian populations.