Objective To analyze survival outcomes and influencing factors among patients with colorectal cancer in Yunnan Province. Methods Clinical data were retrospectively collected from 4 892 patients with colorectal cancer. Survival data were obtained through follow-up. Overall survival (OS) was calculated by using the Kaplan-Meier method. Univariate analysis was performed by applying the log-rank test. Meanwhile, multivariate analysis employed the Cox proportional hazards regression model. Results The 1-, 3-, 5-, and 10-year OS rates for the entire cohort were 91.90%, 74.40%, 64.40%, and 28.70%, respectively. Univariate analysis revealed that age, ethnicity, region, differentiation grade, TNM stage, clinical stage, metastatic status, histological type, and treatment modality (chemotherapy, radiotherapy, and surgery) were associated with patient prognosis (all P<0.05). Multivariate analysis identified age (HR=1.250), region (HR=1.262), differentiation grade (HR=0.761), clinical stage (HR=3.128), and treatment modality (chemotherapy, HR=0.644; radiotherapy, HR=1.605; surgery, HR=0.384) as independent factors affecting survival prognosis in patients with colorectal cancer (all P<0.001). Conclusion Age, region, clinical stage, and treatment modality are independent factors influencing survival among patients with colorectal cancer in Yunnan Province. In clinical practice, these factors should be integrated to develop individualized prevention and treatment strategies, thereby improving patient outcomes.

Objective To clarify the role and underlying mechanism of macrophage-to-myofibroblast transition (MMT) in renal fibrosis that develops after acute kidney injury (AKI) induced by ischemia-reperfusion injury (IRI). Methods Mouse AKI model was generated by renal ischemia-reperfusion. Animals were randomized into control (Con), sham operated (Sham), and IRI groups sacrificed at 1 d (IRI 1 d), 3 d (IRI 3 d) and 14 d (IRI 14 d) after reperfusion (n = 5). Renal injury was assessed by renal coefficient, serum creatinine (Scr) and kidney injury molecule-1 (KIM-1). Periodic acid-Schiff (PAS) staining was used to evaluate tubular damage and inflammatory infiltration. Masson staining and immunohistochemistry were employed to quantify collagen deposition, α-smooth muscle actin (α-SMA) and type I collagen (COL I). Flow cytometry was used to determine macrophage infiltration and phenotype. MMT was identified by flow cytometry plus immunofluorescence. Transforming growth factor (TGF)-β1/Smad3 pathway proteins were examined by Western blotting. Results Compared with Sham group, renal coefficient, Scr and KIM-1 rose in IRI 1 d group, renal coefficient and KIM-1 remained elevated in IRI 3 d group. Compared with the IRI 1 d group, the renal coefficient and KIM-1 decreased in the IRI 14 d group. Compared with the IRI 3 d group, the renal coefficient, Scr and KIM-1 decreased in the IRI 14 d group (all P < 0.05). PAS revealed the most severe tubular injury at IRI 3 d. Masson staining showed progressively increasing collagen deposition, while immunohistochemistry demonstrated α-SMA and COL I rising from day 1 and persisting to day 14 (all P < 0.05). Macrophage infiltration increased from day 1 and lasted to day 14 (P < 0.05). M1 macrophages peaked at day 1 then declined, whereas M2 macrophages increased at day 3 and remained high through day 14 (P < 0.05). MMT began to rise at day 3 and continued to day 14 and M2 macrophages were the predominant source of MMT cells (all P < 0.05). Compared with Sham group, TGF-β1 protein was up-regulated and p-Smad3/Smad3 ratio was elevated in all IRI groups (all P < 0.05). Conclusions M2 macrophages promote post-IRI-AKI renal fibrosis via MMT, a process closely linked to activation of the TGF-β1/Smad3 signaling pathway.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveTo investigate the mechanism by which Wumeiwan suppresses the development and progression of colorectal cancer（CRC） through the regulation of fatty acid metabolic reprogramming， thereby providing new experimental evidence for the prevention and treatment of CRC. MethodsA total of 120 C57BL/6 mice were randomly divided into the blank group， model group， Wumeiwan high-， medium-， and low-dose groups（54， 27， 13.5 g·kg^-1）， and the mesalazine group（0.01 g·kg^-1）， with 20 mice in each group. Except for the blank group， all mice were subjected to azoxymethane（AOM）/dextran sulfate sodium（DSS） treatment to establish an inflammation-associated CRC model. One week after AOM injection， mice in the treatment groups received intragastric administration of the designated drugs， while the blank and model groups received an equal volume of purified water， continuing until 20 d after the intervention endpoint. Hematoxylin-eosin（HE） staining was used to observe colonic histopathological alterations， and immunohistochemistry for vascular endothelial growth factor（VEGF） was performed to evaluate neovascularization and tumor invasion. Metabolomics combined with Kyoto Encyclopedia of Genes and Genomes（KEGG） and metabolite set enrichment analysis（MSEA） was applied to identify key CRC-related metabolic pathways， which were further validated by transcriptomic Gene Ontology（GO） enrichment and gene heatmap analysis. Subsequently， Western blot was performed to determine the expression levels of core proteins in these pathways， and immunofluorescence was used to analyze their localization and co-expression patterns in tissues， thereby elucidating the mechanism of Wumeiwan from multiple biological dimensions. ResultsCompared with the blank group， mice in the model group exhibited a significant decrease in body weight and a significant increase in the disease activity index（DAI） score（P<0.05）， with pronounced colonic mucosal damage accompanied by aggravated tumor invasion. Compared with the model group， Wumeiwan intervention markedly improved body weight loss and reduced DAI score， attenuated mucosal injury， and significantly decreased VEGF expression level（P<0.05）. Multi-omics analysis revealed that differential metabolites and genes across groups were commonly enriched in fatty acid metabolism， fatty acid biosynthesis， and other lipid-related pathways. Relative to the blank group， the model group showed significant upregulation levels of fatty acid synthesis-related genes， including sterol regulatory element-binding protein 1（SREBP1）， fatty acid synthase（FASN）， stearoyl-CoA desaturase 1（SCD1）， as well as saturated fatty acids（P<0.05）. Compared with the model group， treatment with Wumeiwan significantly reduced the expression of key genes involved in fatty acid metabolic pathways， including SREBP1， FASN， and SCD1（P<0.05）. Western blot results further confirmed that proteins in this pathway were significantly elevated in the model group， whereas they were markedly downregulated following Wumeiwan treatment（P<0.05）. Immunofluorescence analysis demonstrated enhanced co-localization of SREBP1 with the cancer-associated fibroblast（CAF） marker α-smooth muscle actin（SMA） in the model group， whereas this co-localization signal was attenuated after Wumeiwan intervention（P<0.05）. ConclusionWumeiwan can improve survival outcomes and alleviate colonic pathological damage in CRC mice， its therapeutic mechanism may be closely associated with the regulation of fatty acid metabolic reprogramming mediated by the SREBP1/FASN/SCD1 signaling pathway.

AIM: To analyze the current status and influencing factors for insufficient hyperopia reserve in preschool children from Changzhi City, Shanxi Province, and to provide reference and basis for myopia prevention and control in this district.METHODS: A stratified cluster random sampling strategy was used to select 2 854 preschool children(5 708 eyes)from 29 child-care centers in Changzhi City between January and May 2024. Hyperopia reserve was assessed through measurements and questionnaire surveys. Totally 2 820 cases(5 640 eyes)were finally included, with 34 cases excluded(32 cases of uncooperativeness and 2 cases of distractibility). The univariate analysis and multivariate Logistic regression were performed to analyze the associated influencing factors of insufficient hyperopia reserve.RESULTS: A total of 580 preschool children with insufficient hyperopia reserve were detected, with an incidence of 20.57%. Logistic regression analysis revealed that male(OR=1.723, 95% CI: 1.419-2.093), maternal myopia(OR=2.210, 95% CI: 1.681-2.906), paternal myopia(OR=1.426, 95% CI: 1.059-1.921), myopia in both parents(OR=2.761, 95% CI: 2.110-3.612), preterm infants(OR=1.740, 95% CI: 1.294-2.342), the mean daily sleep duration <10 h(OR=1.272, 95% CI: 1.024-1.579), and the mean daily outdoor activity time <2 h(OR=1.222, 95% CI: 1.005-1.485)were risk factors for insufficient hyperopia reserve(all P<0.05). Conversely, using blackout curtains during the day and turning off lights at night(OR=0.598, 95% CI: 0.405-0.883)were identified to be protective factors(P<0.05).CONCLUSION: Sex, genetics, gestational age, sleep duration and environmental conditions, and outdoor activity time are potentially associated with insufficient hyperopia reserve in preschool children. Caregivers should prioritize the management of these risk factors to prevent the occurrence of myopia.

OBJECTIVE To investigate the protective effect of farrerol against lipopolysaccharide(LPS)induced acute lung injury(ALI)in mice and the mechanisms.METHODS ①ICR rats were randomly divided into the normal control group,model group and model+farrerol group,with 6 rats in each.The normal control group and model group were given an equal amount of normal saline intragaically for 4 d.The model+farrerol group was given 20 and 40 mg·kg-1 intragaically for 4 d,while the normal control group was given an equal amount of normal saline intragaically on the 5th day.The model group and model+farrerol group were injected with 3 mg·kg-1 LPS solution for 24 h to construct an animal model of ALI.② Mouse alveolar macrophages(MH-S)were cultured and randomly divided into the cell control group,model group and model+farrerol group.Cell control group(conventional culture for 24 h),model group(100 μg·L-1 LPS combined with 40 μg·L-1 IFN-γ co-incubation for 24 h),model+farrerol group(5,10 and 20 μmol·L-1 farrerol pretreatment of MH-S cells for 24 h,and then 100 μg·L-1 LPS combined with 40 μg·L-1 IFN-γ co-incubation for 24 h),an inflammatory cell model was established in vitro.HE was used to observe the pathological changes of the lungs.The wet-dry weight ratio(W/D)was used to assess pulmonary edema while Evans blue dye(EBD)was used to detect pulmonary vascular permea-bility.The activity of myeloperoxidase(MPO)was detected by colorimetry.The number of white blood cells in BALF was counted with a blood cell counting plate.Cell proliferation assay(CCK-8)was used to determine the cell viability.The levels of interleukin-1β(IL-1β),tumor necrosis factor α(TNF-α),IL-6 and IL-10 in lung tissue,bronchoalveolar lavage fluid(BALF)and cell supernatants were detected via enzyme-linked immunosorbent assay(ELISA).The protein levels of inducable nitric oxide synthase(iNOS),arginase 1(ARG1),phosphorylated NF-κB p65,NOD-like receptor protein 3(NLRP3),cysteinyl aspartate specific proteinase1(caspase1)and gasdermin family member(GSDMD-N terminal)in lung tissue and MH-S cells were detected with Western blot.RESULTS ① Compared with the normal control group,the histopathological changes,Injury score,W/D ratio,pulmonary vascular permeability,MPO content,leukocyte count,pro-inflammatory factor IL-1β,TNF-α,IL-6 levels,iNOS,phosphorylated NF-κB p65,NLRP3,caspase1 and GSDMD-N-terminal protein expression in lung tissues were signifi-cantly increased in the model group(P<0.05,P<0.01)while the expression levels of anti-inflammatory factors IL-10 and ARG1 were decreased(P<0.05,P<0.01).Compared with the model group,the Injury score,W/D ratio,pulmonary vascular permeability,leukocyte number,MPO content,proinflammatory factor content and iNOS,phosphorylated NF-κB p65,NLRP3,caspase1 and GSDMD-N-terminal protein levels were significantly decreased in the model+farrerol group(P<0.05,P<0.01)while the levels of anti-inflammatory factor IL-10 and ARG1 protein were increased(P<0.05,P<0.01).② The results of in vitro experiments showed that compared with the cell control group,the contents of IL-1β,TNF-α and IL-6 and the expression levels of iNOS,phosphorylated NF-κB p65,NLRP3,caspase1 and GSD-MD-N-terminal protein were increased(P<0.05,P<0.01),and that the content of anti-inflammatory factor IL-10 and expression level of ARG1 protein were decreased(P<0.01).Compared with the model group,the content of proinflammatory factor and the expressions of iNOS,phosphorylated NF-κB p65,NLRP3,caspase1 and GSDMD-N protein in the model+farrerol group were significantly decreased(P<0.05,P<0.01)while the expression levels of IL-10 and ARG1 protein were increased(P<0.05,P<0.01).CONCLUSION Farrerol can alleviate acute lung injury induced by LPS in mice,possibly by inhibiting the phosphorylation of NF-κB p65 and activation of NLRP3 inflammatome,alleviating pyroptosis of cells and regulating macrophage polarization.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

Objective:To investigate the clinical significance of prenatal screening and genetic analysis in the diagnosis of fetal aberrant right subclavian artery(ARSA).Methods:The ultrasonographic features of ARSA fetu-ses detected by prenatal ultrasound at the University of Hong Kong-Shenzhen Hospital from October 2017 to March 2022 were retrospectively analyzed.The fetuses were divided into isolated ARSA group and complicated ARSA group.Their genetic analysis results and pregnancy outcome were analyzed.Results:Among 30,260 preg-nant women,185 fetuses were diagnosed with ARSA by prenatal ultrasound screening,with an incidence of 0.6％;5 fetuses(2.6％)were diagnosed by ultrasound in the first trimester,and the remaining were diagnosed by fetal grade Ⅲ structural ultrasound examination at 20～24 weeks' gestation.Among them,158 fetuses(85.4％)had isolated ARSA,and 27(14.6％)had complicated ARSA.Among fetuses with ARSA and other structural abnormal-ities,cardiovascular system accounted for the highest proportion(44.4％),followed by nervous system(22.2％)and urinary system(22.2％).Through genetic analysis,8.3％(4/48)fetuses with isolated ARSA and 40.0％(4/10)fetuses with complicated ARSA were found to have chromosomal numerical or structural abnormalities,with statis-tically significant difference between the two groups(P=0.024).Genetic analysis was completed in 48 isolated ARSA,and the positive rate of pathogenic copy number variants(CNV)was 4.2％(2/48),which was not signifi-cantly different from the pathogenic CNV incidence rate of 0.4％(1/239)in elderly pregnant cases during the same period(P=0.074).The Down syndrome positive likelihood ratio(LR+)for isolated ARSA was 2.5 and the Down syndrome LR+for complicated ARSA was 49.6.Conclusions:Complicated ARSA is often associated with cardiovascular abnormalities and is more likely to develop Down syndrome than isolated ARSA.Although the inci-dence of pCNV in isolated ARSA is slightly higher than the natural incidence,the correlation between pCNV and i-solated ARSA has not been clearly determined by the current sample size.