The gut microbiota is regarded as the "eighth organ" of the human body and plays a critical regulatory role in the occurrence and progression of various diseases. Ulcerative colitis （UC） is a chronic inflammatory bowel disease with a complex etiology and a tendency toward recurrent episodes. In recent years， studies have shown that gut microbiota dysbiosis plays a key role in its pathological processes. Meanwhile， an increasing number of studies have demonstrated that imbalances in the gut microbiota and abnormalities in its metabolites are closely associated with the development of atrial fibrillation （AF）. Although UC and AF belong to diseases of the digestive system and cardiovascular system， respectively， both exhibit systemic inflammatory characteristics and are often accompanied by gut microbiota dysregulation and abnormal metabolic products. However， systematic investigations into the mechanisms by which gut microbiota-derived metabolites act in these two diseases remain limited. Based on this， the present study adopts literature review and theoretical analysis methods， taking the "gut microbiota-gut-heart" axis as the entry point， to systematically summarize the signaling networks of three key classes of metabolites， i.e.， short-chain fatty acids （SCFAs）， bile acids （BAs）， and trimethylamine N-oxide （TMAO）， in the comorbidity mechanism of UC and AF. The findings indicate that these metabolites may activate key inflammatory pathways， such as NF-κB and NLRP3， thereby synergistically mediating intestinal barrier dysfunction and systemic inflammation and constructing a potential comorbidity network. On this basis， potential intervention strategies for the treatment of UC-AF comorbidity， including probiotic intervention and fecal microbiota transplantation， are further discussed. This study aims to provide new theoretical evidence and research perspectives for prevention and treatment strategies of cross-system diseases.

Objective To prepare Zanthoxylum alkaloid thermosensitive hydrogel, optimize the preparation process and conduct related performance studies. Methods Zanthoxylum alkaloids were obtained by reflux extraction, followed by enrichment and purification using macroporous adsorption resin. Poloxamer 407 and Poloxamer 188 were used as substrates to prepare the thermosensitive hydrogel of Zanthoxylum alkaloids, and the preparation process was optimized by orthogonal design. The quality of the hydrogel was systematically evaluated based on its gelation temperature, gelation time, Fourier transform infrared （FTIR） spectroscopy, scanning electron microscopy （SEM） images, mechanical properties, and in vitro release profile. Results The optimal preparation conditions for the Zanthoxylum alkaloid thermosensitive hydrogel were: 20% （g/ml） poloxamer 407, 2% （g/ml） poloxamer 188 and 100 μg/ml Zanthoxylum alkaloid. The gelation temperature was 32.6℃, and the average gelling time was 143.3 s. The hydrogel appeared as a transparent liquid at room temperature and was transformed into a semi-solid gel state when the temperature exceeded 33℃. Experimental results confirmed the successful preparation of poloxamer 407 and poloxamer 188 thermosensitive hydrogel loaded with Zanthoxylum alkaloids, which exhibited good bio adhesion, self-healing properties, and tensile strength. Conclusion The Zanthoxylum alkaloid thermosensitive hydrogel demonstrated favorable mechanical properties and a sustained-release effect, showing promising potential for further development and application.

Sepsis remains a challenge in critical care worldwide，with intestinal microbiome dysbiosis implicated in its onset，progression，and organ dysfunction. Germ-free （GF） and human microbiota-colonized animals，by eliminating confounding from resident microbiota and combining induction methods such as CLP/LPS/live-bacterial challenge with fecal microbiota transplantation （FMT） and mono- or combined colonization，enable causal tests and dissection of microbiota-host interactions and drug mechanisms. This review summarizes the application of GF and related models in sepsis research. At the immune level，TLR-related signaling and pathogen community-induced suppression of IRF3-dependent defense affect innate immunity and pathogen clearance. At the barrier level，reprogramming of tight junction proteins and increased permeability drive gut-derived amplification. At the metabolic level，short-chain fatty acids and bile acids function as metabolic valves influencing GPR/HDAC signaling. At the epigenetic level，EZH2 and histone deacetylation emerge as druggable targets. We further synthesize anti-sepsis evidence for traditional Chinese medicine （TCM），mainly from conventional animals and clinical studies，discussing how formulae （e.g.，Xuebijing，Shenfu，and Huanglian Jiedu Tang） and active constituents （e.g.，berberine，luteolin，ginsenosides，and resveratrol） may act through microbiota-related and direct host pathways，with FMT/metabolite replenishment enabling further causal testing. Finally，we propose a closed-loop GF-humanized-clinical stratification paradigm for integrated evaluation of microecology，epigenetics，immunity，and organ outcomes，providing a translational path for precision prevention and treatment based on TCM and the microbiome.

AIM: To delineate the specific mutation responsible for retinitis pigmentosa(RP)in a Yi pedigree, and to analyze the correlation of RHO gene mutation with clinical phenotype.METHODS:A comprehensive clinical evaluation was conducted on the proband diagnosed with RP and other familial members, complemented by a thorough ophthalmic examination. Peripheral blood samples were obtained from the proband and familial members, from which genomic DNA was extracte. Subsequent whole exome sequencing(WES)was employed to identify the variant genes in the proband. The identified variant gene was validated through Sanger sequencing, then an in-depth analysis of the mutation genes was carried out using genetic databases to ascertain the pathogenic mutation sites. Furthermore, an exhaustive analysis was performed to delineate the genotype and phenotype characteristics.RESULTS:The RP pedigree encompasses 5 generations with 42 members, including 19 males and 23 females. A total of 13 cases of RP were identified, consisting of 4 males and 9 females, which conforms to the autosomal dominant inheritance pattern. The clinical features of this family include an early onset age, rapid progression, and a more severe condition. The patients were found to have night blindness around 6 years old, representing the earliest reported case of night blindness in RP families. The retina was manifested by progressive osteocytoid pigmentation of the fundus, a reduced visual field, and significantly decreased or even vanished a and b amplitudes of ERG. The combined results of WES and Sanger sequencing indicated that the proband had a heterozygous missense mutation of the RHO gene c.1040C>T:p.P347L, where the 1 040 base C of cDNA was replaced by T, causing codon 347 to encode leucine instead of proline. Interestingly, this mutation has not been reported in the Chinese population.CONCLUSION:This study confirmed that the mutant gene of RP in a Yi nationality pedigree was RHO(c.1040C>T). This variant leads to the change of codon 347 from encoding proline to encoding leucine, resulting in a severe clinical phenotype among family members. This study provides a certain molecular, clinical, and genetic basis for genetic counseling and gene diagnosis of RHO.

AIM: To delineate the specific mutation responsible for retinitis pigmentosa(RP)in a Yi pedigree, and to analyze the correlation of RHO gene mutation with clinical phenotype.METHODS:A comprehensive clinical evaluation was conducted on the proband diagnosed with RP and other familial members, complemented by a thorough ophthalmic examination. Peripheral blood samples were obtained from the proband and familial members, from which genomic DNA was extracte. Subsequent whole exome sequencing(WES)was employed to identify the variant genes in the proband. The identified variant gene was validated through Sanger sequencing, then an in-depth analysis of the mutation genes was carried out using genetic databases to ascertain the pathogenic mutation sites. Furthermore, an exhaustive analysis was performed to delineate the genotype and phenotype characteristics.RESULTS:The RP pedigree encompasses 5 generations with 42 members, including 19 males and 23 females. A total of 13 cases of RP were identified, consisting of 4 males and 9 females, which conforms to the autosomal dominant inheritance pattern. The clinical features of this family include an early onset age, rapid progression, and a more severe condition. The patients were found to have night blindness around 6 years old, representing the earliest reported case of night blindness in RP families. The retina was manifested by progressive osteocytoid pigmentation of the fundus, a reduced visual field, and significantly decreased or even vanished a and b amplitudes of ERG. The combined results of WES and Sanger sequencing indicated that the proband had a heterozygous missense mutation of the RHO gene c.1040C>T:p.P347L, where the 1 040 base C of cDNA was replaced by T, causing codon 347 to encode leucine instead of proline. Interestingly, this mutation has not been reported in the Chinese population.CONCLUSION:This study confirmed that the mutant gene of RP in a Yi nationality pedigree was RHO(c.1040C>T). This variant leads to the change of codon 347 from encoding proline to encoding leucine, resulting in a severe clinical phenotype among family members. This study provides a certain molecular, clinical, and genetic basis for genetic counseling and gene diagnosis of RHO.

ObjectiveTo investigate the application value of a multimodal model integrating radiomics features， deep learning features， and clinical structured data in predicting severe acute pancreatitis （SAP）， and to provide more accurate tools for the early identification of SAP in clinical practice. MethodsThe patients with acute pancreatitis （AP） who attended The First Affiliated Hospital of Soochow University， Jintan Hospital Affiliated to Jiangsu University， and Suzhou Yongding Hospital from January 1， 2017 to December 31， 2023 were included. Related data were collected， including demographic information， previous medical history， etiology， laboratory test data， and systemic inflammatory response syndrome （SIRS） within 24 hours after admission， as well as imaging data within 72 hours after admission， while related scores were calculated， including Ranson score， modified CT severity index （MCTSI）， bedside index for severity in acute pancreatitis （BISAP）， and systemic inflammatory response syndrome， albumin， blood urea nitrogen and pleural effusion （SABP） score. The model was constructed in the following process： （1） three-dimensional CT images were used to extract and identify radiomics features， and a radiomics classification model was established based on the extreme gradient Boost （XGBoost） algorithm； （2） U-Net is used to perform semantic segmentation of three-dimensional CT images， and then the results of segmentation were imported into 3D ResNet50 to construct a deep learning classification model； （3） the predicted values of the above two models were integrated with clinical structured data to establish a multimodal model based on the XGBoost algorithm. The variable importance plot and local interpretability plot were used to perform visual interpretation of the model. The independent samples t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups； the chi-square test or Fisher’s exact test was used for comparison of categorical data between groups. The receiver operating characteristic （ROC） curve was plotted for each model and existing scoring systems， and the area under the ROC curve （AUC） was calculated to assess their performance； the Delong test was used for comparison of AUC. ResultsA total of 609 patients who met the criteria were included， among whom 114 （18.7%） developed SAP. In this study， the data of 426 patients from The First Affiliated Hospital of Soochow University was used as the training set， and the data of 183 patients from Jintan Hospital Affiliated to Jiangsu University and Suzhou Yongding Hospital were used as the independent test set. The multimodal model had an AUC of 0.914 in the test set， which was significantly higher than the AUC of traditional scoring systems such as MCTSI （AUC=0.827）， Ranson score （AUC=0.675）， BISAP （AUC=0.791）， and SABP score （AUC=0.648）； in addition， the multimodal model showed a significant improvement in performance compared with the radiomics classification model （AUC=0.739） and the deep learning classification model （AUC=0.685） （the Delong test： Z=-3.23， -4.83， -3.48， -4.92， -4.31， and -4.59， all P <0.01）. The top 10 variables in terms of importance in the multimodal model were pleural effusion， predicted value of the deep learning model， predicted value of the radiomics model， triglycerides， calcium ions， SIRS， white blood cell count， age， platelets， and C-reactive protein， suggesting that the above variables had significant contributions to the performance of the model in predicting SAP. ConclusionBased on structured data， radiomic features， and deep learning features， this study constructs a multicenter prediction model for SAP based on the XGBoost algorithm， which has a better predictive performance than existing traditional scoring systems and unimodal models.

Objective: To investigate the potential efficacy and safety of Lutai Danshen Baishao granules (LDBG) for treating female melasma associated with kidney deficiency and blood stasis patterns. Methods: A randomized, double-blind, placebo-controlled trial was conducted at the Third Central Hospital of Tianjin, China from March to December 2023. A total of 110 female patients with melasma linked to kidney deficiency and blood stasis were enrolled and treated with either LDBG or a placebo twice daily for 60 days. Efficacy was assessed through measures such as the total melasma area, reduced melasma area, reduction rate of melasma area, melasma color score, Melasma Area and Severity Index (MASI) score, and traditional Chinese medicine (TCM) symptom score scale. Safety assessments included routine blood and biochemical tests. Results: Participants in both groups were aged 52–63 years, with no significant differences. After the 2-month intervention, the total melasma area decreased in both groups; however, a greater reduction was observed in the test group [462.50 mm2 (12.81%) vs. 100.00 mm2 (3.11%), P < .001]. Moreover, LDBG treatment significantly reduced the MASI and melasma color scores in the test group (P < .05). The total TCM symptom evaluation score significantly decreased (test group: 6.00 vs. placebo group: 7.00, P = .001), with significant relief in symptoms such as improvement in dark lips, nails, and waist soreness in the test group, compared with that in the placebo group (P < .05). Within-group comparisons revealed that TCM syndrome was significantly alleviated in the test group (P < .05). Conclusion LDBG intervention shows promising effectiveness in reducing female melasma and alleviating TCM syndromes.

Objective To investigate the effect of Saikosaponin A(SSA)on the differentiation,apoptosis and function of mouse bone marrow derived macrophages(BMDM)-derived M1/M2 macrophages,and to explore its molecular mechanism.Methods BMDM was induced to differentiate into M1/M2 macrophages in vitro,and SSA was added at the same time:CCK-8 assay was used to detect the viability of BMDM and M1/M2 macrophages.The morphology of M1/M2 macrophages was observed by inverted fluorescence microscopy.Flow cytometry(FCM)and ELISA were used to detect the levels of surface markers and cytokines in M1/M2 macrophages.Real-time fluorescent quantitative PCR(qPCR)was used to detect the mRNA levels of IL-6,TNF-α and arginase-1(Arg-1).FCM was used to detect the phagocytosis of peritoneal macrophages to fluorescent microsphere particles.Immunofluorescence(IF)assay and Western blotting were used to detect the molecular mechanism of SSA regulating M1/M2 macrophages.Results No significant effect on viability of M1/M2 macrophages was observed at SSA concentration of 10.0 mg/L,and obvious inhibition was seen at a concentration of 15.0 mg/L(P<0.01).Treatment of 10.0 mg/L SSA induced obvious morphologic changes in M1/M2 macrophages,with M1 macrophages in irregular shape,a few having pseudopods,and some showing unclear boundaries;while some M2 macrophages presenting round or irregular(P<0.001)with unclear boundaries.SSA treatment also resulted in significantly decreased proportion of M1/M2 macrophages after BMDM differentiation(P<0.05),with reduced contents of IL-6 and TNF-α secreted by M1 macrophages and their mRNA levels(P<0.05),but increased secretion of Arg-1 and mRNA levels by M2 macrophages(P<0.05).SSA treatment also inhibited the phagocytosis ability of peritoneal macrophages to fluorescent microsphere particles(P<0.01)in a concentration-dependent manner.SSA decreased the phosphorylation of NF-kappaB(p-NF-κB)(P<0.01)and enhanced the phosphorylation of signal transducer and activator of transcription 6(p-STAT6)in M2 macrophages(P<0.05).Conclusion SSA may affect the differentiation and function of M1/M2 macrophages by regulating NF-κB and STAT6 signaling pathways.

Objective To investigate the relationship between serum cyclophilin A(CypA),ischemia modi-fied albumin(IMA),galectin-3(Gal-3)levels and oxidative stress and cognitive impairment(CI)in patients with acute cerebral infarction(ACI)complicated with obstructive sleep apnea hypopnea syndrome(OSAHS).Methods A total of 168 patients with ACI complicated with OSAHS who were admitted to the hospital from December 2020 to October 2023 were selected,and the levels of serum CypA,IMA,Gal-3 and oxidative stress indexes[superoxide dismutase(SOD),malondialdehyde(MDA)]in patients with different severity(mild group,moderate group,severe group)were compared.The correlation between serum CypA,IMA,Gal-3 lev-els and oxidative stress indexes were analyzed by Pearson method.The incidence of CI in patients with ACI complicated with OSAHS were statistically analyzed,the levels of serum CypA,IMA and Gal-3 were com-pared between normal cognitive group and CI group,and the risk factors of CI in patients with ACI complicat-ed with OSAHS were analyzed by multivariate Logistic regression model.Results The levels of serum CypA,IMA,Gal-3 and MDA in mild group,moderate group and severe group increased in turn(P<0.05),and ser-um SOD level decreased in turn(P<0.05).Serum CypA,IMA and Gal-3 in ACI patients complicated with OSAHS were negatively correlated with SOD(P<0.05),and positively correlated with MDA(P<0.05).Of 168 ACI patients complicated with OSAHS,79 cases(47.02%)had CI and were included in the CI group.Compared with normal cognitive group,the serum levels of CypA,IMA and Gal-3 in CI group were signifi-cantly increased(P<0.05).Multivariate Logistic regression model analysis showed that apnea hypopnea in-dex(AHI)≥20 times/h,frontal and temporal lobe infarction,elevated CypA level,elevated IMA level,and el-evated Gal-3 level were risk factors for CI in ACI patients complicated with OSAHS(P<0.05).Conclusion The high expression of serum CypA,IMA and Gal-3 in patients with ACI complicated with OS-AHS is significantly correlated with oxidative stress and CI.The increase of serum CypA,IMA and Gal-3 lev-els indicates an increased risk of CI in patients with ACI complicated with OSAHS,and early detection of the three has good clinical value in evaluating the condition of patients with ACI complicated with OSAHS.

Objective To explore the relationship between epstein-barr viral(EBV)load and T lymphocyte subsets distribution in peripheral blood of children with systemic lupus erythematosus(SLE)and its synergistic effect on liver injury.Methods A total of 212 children with SLE admitted to the Xinjiang Uygur Autonomous Region Children's Hospital from October 2021 to September 2023 were selected as the study subjects.The SLE disease activity index(SLEDAI)score was divided into active group(n=58)and inactive group(n=154).The clinical data and laboratory indexes of the two groups were compared.The curve relationship between EBV load and T lymphocytes was analyzed by local weighted scatterplot smoothing(LOWESS)method.According to the occurrence of liver injury,212 children with SLE were divided into two groups(n=166)without liver injury and(n=46)with liver injury.The clinical data of the two groups were compared.Multifactor Logistics regression analysis was used to screen the influencing factors of liver injury in SLE children.Restricted cubic spline(RCS)model was used to analyze the relationship between EBV load,T lymphocytes and liver injury.The unconditioned Logistic regression model was used to analyze the interaction between EBV load and T lymphocytes on liver injury.Results Compared with the inactive group,the active group had younger age(t=9.265),higher hormone dosage(t=2.369),decreased ALB,CD4+,CD4+/CD8+levels(t=4.870,3.463,5.820),and increased EBV load,CD3+,CD8+levels(t=40.830,12.719,5.048),and the differences were statistically significant(all P<0.05).LOWESS analysis showed that EBV load had a nonlinear relationship with CD3+,CD4+,CD8+and CD4+/CD8+.The proportion of children with liver injury who had a disease course of≤3 months,EBV load,CD3+and CD8+levels,and the proportion of active children were lower than those without liver injury(t/χ2=10.749～30.378);the levels of ALB,CD4+and CD4+/CD8+indexes were higher than those without live injury(t=13.561,3.117,13.204),and the differences were statistically significantly(all P<0.05).Multivariate Logistic regression analysis showed that disease duration≤3 months,EBV load,CD3+,ALB,CD4+/CD8+and active SLE were influential factors for liver injury in SLE children(Wald χ2=1.020～1.932,all P<0.05).The results of RCS model analysis showed that EBV load,CD3+and CD8+were positively correlated with liver injury in SLE children,and CD4+,CD4+/CD8+were negatively correlated with liver injury in SLE children.Interaction analysis results showed that EBV load≥450 IU/ml had a multiplicative and additive interaction with CD3+≥60%,CD4+<30%,CD8+≥37%and CD4+/CD8+<0.94,and the risk of liver injury in SLE children was higher when the two factors co-existed.Conclusion There is a nonlinear relationship between EBV load in peripheral blood of SLE children and CD3+,CD4+,CD8+and CD4+/CD8+.Peripheral blood EBV load and abnormal expression of CD3+,CD4+,CD8+and CD4+/CD8+are all factors affecting liver injury in children with SLE,and there is a multiplicative and additive interaction between the above factors.