1.Screening of diagnostic markers for endothelial cell Senescence in mice with radiation-induced heart disease and analysis of immune infiltration
Jiaming LAI ; Yuling SONG ; Zixi CHEN ; Jinghuan WEI ; Hao CAI ; Guoquan LI
Chinese Journal of Tissue Engineering Research 2026;30(6):1450-1463
BACKGROUND:Radiotherapy significantly improves survival rates in patients with various malignant tumors.However,with prolonged post-treatment survival,many patients face the risk of radiation-related cardiac toxicity.This is especially true after chest radiotherapy,where the risk of radiation-induced heart disease significantly increases,becoming one of the most severe complications affecting prognosis survival.OBJECTIVE:To identify diagnostic markers of endothelial cellular senescence in radiation-induced heart disease through systematic transcriptomic analysis.METHODS:Firstly,genes associated with cellular senescence were screened from the CellAge database and intersected with the transcriptomic training dataset of a mouse model of radiation-induced heart disease to identify differentially expressed senescence-related genes.Secondly,weighted gene co-expression network analysis and machine learning were used to identify key hub genes that play critical roles in radiation-induced heart disease.The expression of these genes was validated using a dataset of radiation-induced endothelial injury.Additionally,the quanTlseq method was employed to assess the immune infiltration status related to radiation-induced heart disease.The expression levels of key genes and their association with survival in esophageal squamous cell carcinoma patients receiving chest radiotherapy were explored through the analysis of The Cancer Genome Atlas database.RESULTS AND CONCLUSION:(1)Systematic transcriptomic analysis identified CCND1 as the core gene of endothelial cellular senescence in radiation-induced heart disease,and this finding was validated in the mouse model of radiation-induced heart disease.(2)The diagnostic model constructed from these data indicated that CCND1 had high specificity and sensitivity for diagnosing radiation-induced heart disease.(3)Immune infiltration analysis revealed significant immune response dysregulation in the mouse model of radiation-induced heart disease,and CCND1 was closely related to various immune cells.(4)Kaplan-Meier survival analysis showed that CCND1 was associated with poorer disease-specific survival in esophageal squamous cell carcinoma patients receiving chest radiotherapy.This study systematically uncovers,for the first time,the pivotal role of CCND1 in endothelial cell senescence associated with radiation-induced heart disease.CCND1,a gene integral to cell cycle regulation,can induce cellular senescence when abnormally expressed.Furthermore,the findings highlight its potential as an early diagnostic marker.
2.Effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis:machine learning and 16S rDNA analysis
Fucheng GU ; Meixin YANG ; Weixin WU ; Weijun CAI ; Yangyi QIN ; Mingyi SUN ; Jian SUN ; Qiudong GENG ; Nan LI
Chinese Journal of Tissue Engineering Research 2026;30(4):1058-1072
BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P<0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P<0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P<0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.
3.Analysis of HPV Infection Characteristics and Influencing Factors for Lesion Grade in Patients with Cervical Squamous Intraepithelial Lesion and Cervical Cancer
Jingjing HAN ; Lijie ZHANG ; Ruyu CAI ; Haili LI ; He WANG ; Le DANG ; Hongda CHEN ; Ming'e LI ; Lan ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):156-165
To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions. Clinical data of women attending the gynecological colposcopy clinic of Shenzhen People's Hospital from January 2020 to December 2023 were retrospectively collected. Patients with HPV genotyping records and histopathologically diagnosed SIL or CC were included and divided into three groups based on pathological results: low-grade squamous intraepithelial lesion(LSIL) group, high-grade squamous intraepithelial lesion(HSIL) group, and CC group. The distribution of high-risk HPV subtypes was analyzed among the three groups, and multivariate Logistic regression was used to identify influencing factors for high-grade cervical lesions. A total of 4162 patients were included, comprising 4057 cervical SIL patients(3317 LSIL and 740 HSIL) and 105 CC patients. The overall mean age was(39.9±11.2) years. The HPV infection rate was 95.1%(3959/4162), and 25.0%(1040/4162) of patients had received HPV vaccination. Among high-risk HPV infections, HPV 52, HPV 16, HPV 58, and HPV 18 were the most common subtypes. HPV 52 had the highest infection rate in the LSIL group(27.6%), while HPV 16 was the most prevalent in the HSIL group(45.3%) and CC group(64.9%). Multivariate Logistic regression analysis showed that HPV vaccination( HPV infection is common in patients with SIL and CC, but the distribution of high-risk HPV subtypes varies among different grades of cervical lesions. It is recommended to strengthen cervical cancer screening and monitoring of key high-risk HPV infections in older and multiparous women in Shenzhen, and to continue promoting HPV vaccination.
4.Expert Consensus on Neurocritical Care Monitoring and Management in Beijing and Tibet(2025)
Drolma PHURBU ; Wenjin CHEN ; Heng ZHANG ; Jian ZHANG ; Xiaomeng WANG ; Guoying LIN ; Wenjun PAN ; Xiying GUI ; Xin CAI ; Chodron TENZIN ; Jianlei FU ; Qianwei LI ; TSEYANG ; Yijun LIU ; Bo LIU ; Tsering DROLMA ; Yudron SONAM ; KYILV ; Samdrup TSERING ; Wa DA ; Juan GUO ; Cheng QIU ; Huan CHEN ; Xiaoting WANG ; Yangong CHAO ; Dawei LIU ; Wenzhao CHAI ; Chenggong HU ; Wanhong YIN ; Shihong ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):59-72
Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.
5.Epidemiological characteristics and spatial-temporal clustering of severe fever with thrombocytopenia syndrome in Huai'an City from 2011 to 2024
XIA Wenling ; GAO Qiang ; LI Yang ; CAI Ben ; WAN Chunyu ; CUI Zhizhen ; ZHANG Zheng ; PAN Enchun
Journal of Preventive Medicine 2026;38(1):55-59,65
Objective:
To investigate the epidemiological characteristics and spatial-temporal clustering of severe fever with thrombocytopenia syndrome (SFTS) in Huai'an City, Jiangsu Province from 2011 to 2024, so as to provide a basis for optimizing local SFTS prevention and control strategies, and identifying high-risk areas and key populations.
Methods:
Data on SFTS incidence and deaths in Huai'an City from 2011 to 2024 were collected from the Infectious Disease Reporting Information System of the Chinese Disease Prevention and Control Information System. The reported incidence, mortality, and fatality rates were calculated. Descriptive analysis was performed on temporal, population, and regional distribution. The average annual percent change (AAPC) was used to analyze the trend in the reported incidence of SFTS. Global and local spatial autocorrelation analyses were employed to examine the spatial distribution patterns and spatial association patterns of SFTS incidence while spatio-temporal scanning analyses was used to assess the spatial-temporal clustering of SFTS.
Results:
A total of 337 SFTS cases were reported in Huai'an City from 2011 to 2024, with the reported incidence rising from 0.17/100 000 to 1.88/100 000. There were 20 deaths, with an average annual mortality of 0.03/100 000, and a fatality rate of 5.93%. The incidence showed obvious seasonality, with a peak in May and June (148 cases, accounting for 43.92%). Spring and summer accounted for 107 cases (31.75%) and 159 cases (47.18%), respectively. The reported SFTS cases were mainly male, farmers, and individuals aged ≥41 years, accounting for 56.38%, 79.23%, and 96.74%, respectively. The population distribution of death cases was basically consistent with that of incident cases. Xuyi County was a high-incidence area, with a total of 332 reported cases, accounting for 98.52%. All death cases were reported in this county. Spatial autocorrelation analyses revealed a positive spatial correlation in SFTS incidence from 2019 to 2024, with Moran's I values ranging from 0.214 to 0.336 (all P<0.05). Heqiao Town, Tianquanhu Town, and Guiwu Town in Xuyi County were identified as high-high clustering areas. Spatio-temporal scanning analyses showed that cluster 1 was consistent with the high-high clustering areas, with an aggregation time from the second quarter of 2019 to the second quarter of 2022.
Conclusions
From 2011 to 2024, the reported incidence of SFTS in Huai'an City showed an upward trend, with a high incidence in spring and summer. Males, farmers, and the middle-aged and elderly population were the key populations for prevention and control. Xuyi County was the key area for prevention and control.
6.Construction of a community-family management model for older adults with mild cognitive impairment
Junli CHEN ; Han ZHANG ; Yefan ZHANG ; Yanqiu ZHANG ; Runguo GAO ; Qianqian GAO ; Weiqin CAI ; Haiyan LI ; Lihong JI ; Zhiwei DONG ; Qi JING
Chinese Journal of Rehabilitation Theory and Practice 2026;32(1):90-100
ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.
7.Mechanisms of Xiaozhi Qinggan Decoction in Treatment of Metabolic Dysfunction-associated Steatotic Liver Disease by Regulating Ferroptosis
Haihang DONG ; Yuying TU ; Xingrong LI ; Yujie CAI ; Yi REN ; Huiqin ZHANG ; Yinqiang ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):109-119
ObjectiveTo investigate the mechanism of Xiaozhi Qinggan decoction (XQD) in preventing and treating metabolic dysfunction-associated steatotic liver disease (MASLD) by regulating ferroptosis, network pharmacology, in vitro and in vivo experiments. MethodsIn the in vivo experiment, mouse MASLD models were established by high-fat diet (HFD) induction. The model mice were randomly assigned to a positive control group (silybin, 50 mg·kg-1), low-, medium- and high-dose XQD groups (4.725, 9.45, 18.9 g·kg-1), with a normal control group. After 4 weeks of modeling, mice except the normal group were administered intragastrically for 8 consecutive weeks. Liver function, serum lipid levels, hepatic histopathology, as well as the levels of malondialdehyde (MDA), superoxide dismutase (SOD), reduced glutathione (GSH) and oxidized glutathione (GSSG) and Fe2+ were detected. The mRNA and protein expression of p53, SLC7A11 and GPX4 were determined by quantitative Real-time quantitative polymerase chain reaction(Real-time PCR) and Western blot. In the network pharmacology analysis, active components and potential targets of XQD for MASLD were screened, followed by functional and pathway enrichment analyses, and molecular docking was performed to verify the target binding activity. In the in vitro experiment, the optimal concentration of XQD-containing serum was screened by cytotoxicity assay. HepG2 cells were transfected with ov-NC or ov-p53 plasmid, and a lipid accumulation model was induced by free fatty acid (FFA, 1.0 mmol·L-1). Cells were divided into a normal group, FFA model group, ov-NC+XQD (15%) group and ov-p53+XQD (15%) group. Intracellular Fe2+ level and lipid accumulation were evaluated, and the protein expression of p53, SLC7A11 and GPX4 was measured by Western blot. ResultsCompared with the normal group, the model group exhibited markedly elevated body weight, liver weight, liver index, fasting blood glucose, AUC of glucose tolerance test, serum liver function and blood lipid levels at week 12 (P<0.01). Hepatic steatosis and inflammatory infiltration were observed by pathological staining. Additionally, hepatic levels of MDA, SOD and Fe2+ were increased (P<0.01), while GSH, GSSG and the GSH/GSSG ratio were decreased (P<0.01). The mRNA and protein expression of hepatic p53 was upregulated (P<0.01), whereas the expression of SLC7A11 and GPX4 was downregulated (P<0.01). Compared with the model group, the low- and medium-dose XQD groups showed significantly decreased body weight at week 12 (P<0.05). The silybin group, together with the medium- and high-dose XQD groups, presented reduced liver weight and liver index (P<0.05). Fasting blood glucose and the AUC of glucose tolerance test were lowered in all four treatment groups (P<0.05, P<0.01). Pathological staining revealed alleviated hepatic steatosis and inflammation, accompanied by decreased serum liver function and blood lipid levels (P<0.05, P<0.01). Moreover, hepatic MDA and SOD levels were markedly reduced, while GSH, GSSG and the GSH/GSSG ratio were significantly elevated (P<0.05, P<0.01). Hepatic Fe2+ level was decreased (P<0.01). The mRNA and protein expression of hepatic p53 was downregulated, and the expression of SLC7A11 and GPX4 was upregulated (P<0.05, P<0.01). Network pharmacology analysis identified quercetin, kaempferol, luteolin, tanshinone IIA and isorhamnetin as the core active components of XQD, with p53 serving as the key target. Stable binding was verified between these active components and the p53 protein. The optimal concentration of XQD-containing serum in vitro was determined to be 15%. Compared with the normal group, the model group showed increased intracellular Fe2+ and lipid accumulation, significantly upregulated p53 protein expression (P<0.01), and markedly downregulated SLC7A11 and GPX4 protein expression (P<0.01). Compared with the model group, the ov-NC group exhibited reduced Fe2+ and lipid accumulation, downregulated p53 expression, and upregulated SLC7A11 and GPX4 expression. In the ov-p53 group, p53 expression was upregulated (P<0.01), while SLC7A11 and GPX4 expression was downregulated (P<0.01). ConclusionXQD inhibits ferroptosis by downregulating p53 and upregulating SLC7A11 and GPX4, thereby alleviating oxidative stress and lipid peroxidation in hepatocytes and improving MASLD.
8.Value of immunoglobulin G/immunoglobulin M ratio in predicting the prognosis of patients with initially unresectable hepatocellular carcinoma treated by transcatheter arterial chemoembolization combined with tyrosine kinase inhibitor and programmed cell death protein-1 inhibitor
Xingzhi LI ; Wei LUO ; Yuan FENG ; Yu CAI ; Xiaohong LIU ; Feixiang WU ; Yong PENG
Journal of Clinical Hepatology 2026;42(1):117-124
ObjectiveTo investigate the association between immunoglobulin G (IgG)/immunoglobulin M (IgM) ratio and prognosis in patients with initially unresectable hepatocellular carcinoma (iuHCC) receiving TTP triple therapy with transcatheter arterial chemoembolization (TACE), tyrosine kinase inhibitor (TKI), and programmed cell death protein-1 (PD-1) inhibitors. MethodsA retrospective analysis was performed for the clinical data of 151 iuHCC patients who received TTP triple therapy in Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, from November 2019 to December 2022, and according to IgG/IgM ratio, they were divided into high IgG/IgM group (IgG/IgM ratio >13.23) and low IgG/IgM group (IgG/IgM ratio ≤13.23). The t-test was used for comparison of continuous data between groups, and the chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier method and the log-rank test were used for survival analysis, and the Cox proportional hazards model was used to investigate the potential influencing factors for overall survival (OS). ResultsThe 151 patients had a median OS of 26.7 months (95% confidence interval [CI]: 19.8-not reached) and a median progression-free survival of 12.5 months (95%CI: 10.4 — 15.8). The objective response rate was 83.4% and the disease control rate was 94.0%. There were no significant differences in baseline data between the high IgG/IgM group and the low IgG/IgM group (all P>0.05). There was a significant difference in median OS between the high IgG/IgM group and the low IgG/IgM group (20.6 months vs not reached, P=0.016). In both the high IgG/IgM group and the low IgG/IgM group, salvage hepatectomy was significantly associated with the improvement in OS (χ2=8.297 and 10.307, both P<0.05). The multivariate analysis showed that high IgG/IgM ratio (hazard ratio [HR]=1.799, 95%CI: 1.077 — 3.006, P=0.025), baseline alpha-fetoprotein >400 ng/mL (HR=1.762, 95%CI: 1.017 — 3.050, P=0.043), and BCLC stage (HR=2.265, 95%CI: 1.212 — 4.232, P=0.010) were independent influencing factors for OS. ConclusionHigh IgG/IgM ratio is associated with a poorer prognosis in iuHCC patients receiving TTP triple therapy, and salvage hepatectomy has a potential value in improving the prognosis of patients with a high IgG/IGM ratio.
9.Influencing Factors of Urate Crystal Deposition in Patients with Hyperuricemia and Prediction Model of TCM Syndrome Types-inflammatory Indicators
Jiaqi XU ; Bin AI ; Chao LIN ; Qiaoxuan LIN ; Changning LI ; Jing CAI ; Yan XIAO ; Jiemei GUO ; Youxin SU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):66-73
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.
10.Epidemiologic Burden of Colorectal Cancer in Xishan District, Kunming City, Yunnan Province, 2018—2020
Mingzhu GAO ; Ruiqi CAI ; Sile LI ; Yuying PANG ; Yanyan YANG ; Weilin ZHANG ; Min ZHAO
Cancer Research on Prevention and Treatment 2026;53(2):142-151
Objective To analyze the epidemiologic burden of colorectal cancer in Xishan District, Kunming City, Yunnan Province from 2018 to 2020. Methods Indicators of epidemiologic burden were calculated, including incidence rate, mortality rate, age-specific incidence/mortality rates, potential years of life lost (PYLL), and disability-adjusted life years (DALY) based on the National Disease Control and Prevention Center’s "Cancer Information Registration and Reporting System" and "Cause of Death Registration System". Results From 2018 to 2020, the ASR (China) for the incidence of colorectal cancer in Xishan District, Kunming City increased from 25.27/105 to 26.29/105, while the ASR (China) for mortality decreased from 17.11/105 to 16.03/105. The PYLL in 2018–2020 were


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