1.Clinical characteristics and prognosis of immunotherapy for recurrent/metastatic nasopharyngeal carcinoma: a single-center retrospective analysis
WANG Haoqiang ; LIU Baiyang ; YANG Ning ; LIU Peng ; CHENG Donghai ; PENG Lijun ; WANG Xianci ; HUANG Xueqin ; DONG Enlai ; JIANG Yiming ; ZHOU Juan ; XIE Bo
Chinese Journal of Cancer Biotherapy 2026;33(1):84-90
[摘 要] 目的:探讨复发/转移性鼻咽癌(NPC)接受含PD-1单抗免疫治疗的临床特征和预后影响因素。方法:回顾性分析2019年3月至2024年7月期间南部战区总医院确诊的95例NPC患者的临床资料和外周血生化及免疫学指标。预后分析采用Kaplan-Meier曲线,组间比较使用Log-rank检验,采用Cox比例风险模型进行单因素和多因素分析。结果:95例患者中男性81例,女性14例,中位年龄49.72岁(16~74岁),Ⅳ期91例(95.79%),所有患者均采用免疫治疗,联合或不联合化疗方案治疗,中位无进展生存期(mPFS)为10.5个月,客观缓解率(ORR)70.53%,疾病控制率(DCR)89.47%,接受含铂治疗方案患者PFS相对更长,且差异有统计学意义。紫杉醇 + 顺铂 + 氟尿嘧啶(TPF)对比吉西他滨 + 顺铂(GP)和紫杉醇 + 顺铂(TP)显示出更长的PFS,但差异无统计学意义。不同PD-1单抗治疗组间的PFS未显示出有统计学意义的差异。单因素及多因素Cox回归分析结果显示,肿瘤复发状态、初始血浆EBV感染状态、治疗周期数、基线外周血SII是复发/转移性NPC患者接受PD-1抑制剂治疗疗效预测的独立相关因素(均P < 0.05),并且非复发患者、初始血浆EBV DNA阳性、接受 ≥ 4治疗周期、基线外周血SII < 772.81的患者接受PD-1抑制剂治疗预后相对更好。结论:在接受PD-1抑制剂治疗的复发/转移性NPC患者中,非复发患者、初始血浆EBV DNA阳性、≥ 4治疗周期且外周血SII < 772.81者PFS相对更长,可早期识别免疫治疗效果不佳患者并精准干预。
2.Life's Essential 8 cardiovascular health metrics and long-term risk of cardiovascular disease at different stages: A multi-stage analysis.
Jiangtao LI ; Yulin HUANG ; Zhao YANG ; Yongchen HAO ; Qiuju DENG ; Na YANG ; Lizhen HAN ; Luoxi XIAO ; Haimei WANG ; Yiming HAO ; Yue QI ; Jing LIU
Chinese Medical Journal 2025;138(5):592-594
3.Utility of upper urinary tract video urodynamics in recurrent symptoms and equivocal hydronephrosis after ureteral reconstruction: A retrospective cohort study.
Xinfei LI ; Yiming ZHANG ; Liqing XU ; Chen HUANG ; Zhihua LI ; Kunlin YANG ; Hua GUAN ; Jing LIU ; Peng ZHANG ; Hongjian ZHU ; Liqun ZHOU ; Xuesong LI
Chinese Medical Journal 2025;138(18):2350-2352
4.Corrigendum to "Hydralazine represses Fpn ubiquitination to rescue injured neurons via competitive binding to UBA52" J. Pharm. Anal. 14 (2024) 86-99.
Shengyou LI ; Xue GAO ; Yi ZHENG ; Yujie YANG ; Jianbo GAO ; Dan GENG ; Lingli GUO ; Teng MA ; Yiming HAO ; Bin WEI ; Liangliang HUANG ; Yitao WEI ; Bing XIA ; Zhuojing LUO ; Jinghui HUANG
Journal of Pharmaceutical Analysis 2025;15(4):101324-101324
[This corrects the article DOI: 10.1016/j.jpha.2023.08.006.].
5.Establishment and evaluation of a machine learning prediction model for sepsis-related encephalopathy in the elderly.
Xiao YUE ; Yiwen WANG ; Zhifang LI ; Lei WANG ; Li HUANG ; Shuo WANG ; Yiming HOU ; Shu ZHANG ; Zhengbin WANG
Chinese Critical Care Medicine 2025;37(10):937-943
OBJECTIVE:
To construct machine learning prediction model for sepsis-associated encephalopathy (SAE), and analyze the application value of the model on early identification of SAE risk in elderly septic patients.
METHODS:
Patients aged over 60 years with a primary diagnosis of sepsis admitted to intensive care unit (ICU) from 2008 to 2023 were selected from Medical Information Mart for Intensive Care-IV 2.2 (MIMIC-IV 2.2). Demographic variables, disease severity scores, comorbidities, interventions, laboratory indicators, and hospitalization details were collected. Key factors associated with SAE were identified using univariate Logistic regression analysis. The data were randomly divided into training and validation sets in a 7 : 3 ratio. Multivariable Logistic regression analysis was conducted in the training set and visualized using a nomogram model for prediction of SAE. The discrimination of the model was evaluated in the validation set using the receiver operator characteristic curve (ROC curve), and its calibration was assessed using calibration curve. Furthermore, multiple machine learning algorithms, including multi-layer perceptron (MLP), support vector machine (SVM), naive bayes (NB), gradient boosting machine (GBM), random forest (RF), and extreme gradient boosting (XGB), were constructed in the training set. Their predictive performance was subsequently evaluated on the validation set. Taking the XGB model as an example, the interpretability of the model through the SHapley Additive exPlanations (SHAP) algorithm was enhanced to identify the key predictive factors and their contributions.
RESULTS:
A total of 2 204 septic patients were finally enrolled, of whom 840 developed SAE (38.1%). A total of 21 variables associated with SAE were screened through univariate Logistic regression analysis. Multivariable Logistic regression analysis showed that endotracheal intubation [odds ratio (OR) = 0.40, 95% confidence interval (95%CI) was 0.19-0.88, P < 0.001], oxygen therapy (OR = 0.76, 95%CI was 0.53-0.95, P = 0.023), tracheotomy (OR = 0.20, 95%CI was 0.07-0.53, P < 0.001), continuous renal replacement therapy (CRRT; OR = 0.32, 95%CI was 0.15-0.70, P < 0.001), cerebrovascular disease (OR = 0.31, 95%CI was 0.16-0.60, P < 0.001), rheumatic disease (OR = 0.44, 95%CI was 0.19-0.99, P < 0.001), male (OR = 0.68, 95%CI was 0.54-0.86, P = 0.001), and maximum anion gap (AG; OR = 0.95, 95%CI was 0.93-0.97, P < 0.001) were associated with an decreased probability of SAE, and age (OR = 1.05, 95%CI was 1.03-1.06, P < 0.001), acute physiology score III (APSIII; OR = 1.02, 95%CI was 1.01-1.02, P < 0.001), Oxford acute severity of illness score (OASIS; OR = 1.04, 95%CI was 1.03-1.06, P < 0.001), and length of hospital stay (OR = 1.01, 95%CI was 1.01-1.02, P < 0.001) were associated with an increased probability of SAE. A nomogram model was constructed based on these variables. In the validation set, ROC curve analysis showed that the model achieved an area under the ROC curve (AUC) of 0.723, and the calibration curve showed good consistency between the predicted probability of the model and the observed probability. Among the machine learning algorithms, including MLP, SVM, NB, GBM, RF, and XGB, the SVM model and RF model demonstrated relatively good predictive performance, with AUC of 0.748 and 0.739, respectively, and the sensitivity was both exceeding 85%. The predictive performance of the XGB model was explained through SHAP analysis, and the results indicated that APSIII score (SHAP value was 0.871), age (SHAP value was 0.521), and OASIS score (SHAP value was 0.443) were important factors affecting the predictive performance of the model.
CONCLUSIONS
The machine learning-based SAE prediction model exhibits good predictive capability and holds significant application value for the early identification of SAE risk in elderly septic patients.
Humans
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Machine Learning
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Aged
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Sepsis-Associated Encephalopathy
;
Sepsis/complications*
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Intensive Care Units
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Logistic Models
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Middle Aged
;
Male
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ROC Curve
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Female
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Bayes Theorem
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Nomograms
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Support Vector Machine
;
Algorithms
6.Development of Core Outcome Set for Clinical Research on Vitiligo Treated with Uyghur Medicine
Qian HUANG ; Xinfeng GUO ; Lihong YANG ; Genghang CHEN ; Wufuer TUERSON ; Yiming Maimaiti TURSUNTAI ; Abuduwayiti JULAITI ; Zhijian LI ; Shaonan LIU
Journal of Guangzhou University of Traditional Chinese Medicine 2025;42(10):2595-2602
Objective To develop a core outcome set(COS)for treatment of progressive vitiligo in Uyghur medicine,and to standardize the selection and reporting of outcome measures in relevant studies.Methods Based on the existing core outcome domain set of randomized controlled trials for vitiligo,additional outcome indicators reflecting the advantages and characteristics of Uyghur medical treatment were developed.Specific indicators for Uyghur medical treatment of progressive vitiligo were collected through literature review and semi-structured questionnaire surveys,and then a list of indicators were formed.The Delphi survey and consensus meetings were used to select core indicators.Results A total of 54 studies were included,and 86 questionnaires were collected.Through literature review and questionnaire surveys,a list of 28 indicators were obtained.After two rounds of Delphi survey and one consensus meeting,12 outcome indicators in 7 domains were finally determined,including vitiligo lesion area,repigmentation,disease control time,maintenance of repigmentation,recurrence rate,immune indicators,psychological health,patients' quality of life,adverse events,adverse reaction incidence,liver and kidney function monitoring,and Uyghur medicine syndrome differentiation of mucus.Additionally,some measurement tools for certain indicators were recommended.Conclusion The development of the COS for vitiligo treatment in Uyghur medicine helps to comprehensively evaluate the efficacy of Uyghur medicine,and will provide a model for establishing efficacy evaluation methods that conform to the characteristics of ethnic minority medicine.
7.Chaihu Longgu Mulitang Relieves Generalized Anxiety Disorder in Rats via p38 MAPK/NF-κB Signaling Pathway
Chunxin WEI ; Yiming HU ; Shiqi HUANG ; Guowei TAN ; Yaorong AN
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(4):114-123
ObjectiveTo study whether Chaihu Longgu Mulitang can inhibit hypothalamic inflammation, mitigate anxiety-like behavior, and alleviate anxiety symptoms by regulating the p38 mitogen-activated protein kinase/nuclear factor-κB (p38 MAPK/NF-κB) signaling pathway in the rat model of generalized anxiety disorder (GAD). MethodTwelve out of 74 Wistar rats were randomly selected as the blank group, and the remaining rats were subjected to chronic restraint stress for the modeling of GAD. The open field test (OFT) and elevated Porteus maze test (PMT) were conducted 14 days after modeling to detect the anxiety-like behaviors. Sixty successfully modeled rats were selected and randomized into model, low-, medium-, and high-dose (6, 12, and 24 g·kg-1, respectively) Chaihu Longgu Mulitang, and diazepam (1 mg·kg-1) groups (n=12) and administrated with corresponding drugs for 14 consecutive days. OFT and PMT were then carried out to examine the anxiety-like behaviors of the rats. The levels of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and interleukin-1β (IL-1β) in the hypothalamus and serum of rats were determined by the enzyme-linked immunosorbent assay (ELISA). Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR)was conducted to determine the mRNA levels of p38 MAPK, NF-κB p65, nuclear factor κB inhibitor α (IκBα), and ionized calcium binding adaptor molecule 1 (Iba-1). The protein levels of p38 MAPK, phosphorylated (p)-p38 MAPK, NF-κB p65, p-NF-κB p65, and IκBα in the hypothalamus of rats were determined by Western blot. The expression of Iba-1 in the hypothalamic microglia was detected by immunofluorescence assay. ResultCompared with the blank group, the model group had decreased body weight, scattered dark yellow fur, increased irritability, and preference to hibernation in the corner. In addition, the modeled rats showed increased edge movement distance and time in OFT (P<0.01) and decreased movement distance and time and the number of entries in the open arm in PMT (P<0.01). The modeling increased the fluorescence intensity of Iba-1 in paraventricular nucleus of hypothalamus (P<0.01), elevated the levels of IL-1β, IL-6, and TNF-α in the serum and hypothalamus (P<0.01), up-regulated the protein and mRNA levels of p38 MAPK, NF-κB p65, p-p38 MAPK, p-NF-κB p65, and Iba-1 (P<0.05, P<0.01), and down-regulated the protein and mRNA levels of IκBα (P<0.01) in the hypothalamus. Compared with the model group, medium- and high-dose Chaihu Longgu Mulitang and diazepam increased the body weight, improved the fur and behaviors, decreased the edge movement distance and time in OFT (P<0.05, P<0.01), and increased the movement distance and time in the open arm in PMT (P<0.05, P<0.01). Furthermore, they decreased the fluorescence intensity of Iba-1 in hypothalamic microglia (P<0.05, P<0.01), lowered the levels of IL-1β, IL-6, and TNF-α in the serum and hypothalamic tissue (P<0.05, P<0.01), down-regulated the mRNA and protein levels of p38 MAPK, NF-κB p65, p-p38 MAPK, p-NF-κB p65, and Iba-1 (P<0.05, P<0.01), and up-regulated the mRNA and protein levels of IκBα (P<0.05, P<0.01) in the hypothalamus. ConclusionChaihu Longgu Mulitang can mitigate anxiety-like behaviors and relieve anxiety in GAD rats by inhibiting the p38 MAPK/NF-κB signaling pathway and reducing the activation of microglia and the levels of pro-inflammatory cytokines in the hypothalamus.
8.Advances in high-throughput automated organoid-on-a-chip system
Fanlu MENG ; Yiming HAN ; Jidong XIU ; Jianyong HUANG
Tianjin Medical Journal 2024;52(1):1-3
Organoids are in vitro three-dimensional(3D)multicellular cultures that are generated through deploying the self-renewal and self-organizing capacities of stem cells.They recapitulate key structural and functional features of corresponding organs or tissues,providing an ideal in vitro model and research platform for the study of developmental biology,regenerative medicine,disease modeling and drug development.The conventional organoid culture system mainly relies on manual operations with lengthy and complicated procedures,which generate organoid cultures of individual variations and batch differences,limiting their translational applications.Therefore,to engineer the organoid culture system by introducing microfluidic chip technology to enhance the throughput and automation level,is of great significance for achieving large-scale,homogeneous,and standardized organoid cultures.This article reviews the current research progress of high-throughput and automated organoid chips and discusses the main limitations and potential challenges for the future study.
9.Correlation between coronal pressure variation and coronal imbalance in adolescent idiopathic scoliosis patients
Maodong WU ; Qinglun SU ; Yiming HUANG ; Longying SHEN ; Yu LU ; Qin ZHAO
Chinese Journal of Tissue Engineering Research 2024;28(6):852-856
BACKGROUND:The distribution of horizontal pressure in adolescent idiopathic scoliosis can be used to evaluate the coronal imbalance.Currently,there are no reports on the characteristics of coronal pressure distribution and its correlation with coronal imbalance. OBJECTIVE:To explore the correlation between coronal pressure variation and coronal imbalance in adolescent idiopathic scoliosis patients. METHODS:A total of 39 adolescent idiopathic scoliosis patients who met the inclusion and exclusion criteria in Lianyungang First People's Hospital from March 2021 to June 2022 were selected as the adolescent idiopathic scoliosis group,and 30 matched healthy volunteers were recruited from the outpatient department as the control group.The horizontal position pressure,folding position pressure,coefficient of variation,and global and trunk pressure variation were measured by the TBED Postural Couch evaluation system.In the adolescent idiopathic scoliosis group,full-length spine radiographs were taken to measure Cobb angle,coronal balance,apical vertebral deviation and Nash-Moe rotation.The characteristics of coronal pressure variation and its correlation with coronal imbalance were analyzed. RESULTS AND CONCLUSION:(1)Compared with the control group,there was no statistically significant difference in the horizontal position pressure and folding position pressure in the adolescent idiopathic scoliosis group(P>0.05),but the global pressure variation and coefficient of variation were significantly increased(all P<0.05).(2)There were differences in both sides of the trunk of the adolescent idiopathic scoliosis group and the control group(P<0.05),and the convex side pressure variation in the adolescent idiopathic scoliosis group was higher than the concave side pressure variation in the left and right side pressure variation in the control group(all P<0.05).(3)The variation of the convex side pressure of the trunk in adolescent idiopathic scoliosis patients was positively correlated with coronal balance intensity(r=0.692,P<0.05),moderately positively correlated with Cobb angle and apical vertebral deviation(r=0.499,0.595,all P<0.05),and weakly correlated with Nash-Moe grade(r=0.377,P<0.05).The variation of the concave side pressure of the trunk was moderately positively correlated with coronal balance(r=0.410,P<0.05),and the rest was weakly correlated or not correlated(P>0.05).(4)These findings indicate that pressure variation may be used as an adjoint assessment tool in patients with mild to moderate scoliosis.
10.Total saponins of Panax japonicus alleviates CCl4-induced acute liver injury in rats by regulating the PI3K/AktNF-κB signaling pathway
Guangyang WU ; Tianli SONG ; Lang TANG ; Yiming WANG ; Xu LIU ; Sheng HUANG
Journal of Southern Medical University 2024;44(2):244-251
Objective To investigate the protective effect of total saponins of Panax japonicus(TSPJ)against CCl4-induced acute liver injury(ALI)in rats and explore the underlying pharmacological mechanisms.Methods Male SD rat models of CCl4-induced ALI were given intraperitoneal injections of distilled water,100 mg/kg biphenyl bisabololol,or 50,100,and 200 mg/kg TSPJ during modeling(n=8).Liver functions(AST,ALT,TBil and ALP)of the rats were assessed and liver pathologies were observed with HE staining.Immunohistochemistry was used to detect the expressions of PI3K/Akt/NF-κB signaling pathway molecules in liver tissue;ELISA was used to determine the levels of T-SOD,GSH-Px,and MDA.Western blotting was performed to detect the expression levels of PI3K-Akt and SIRT6-NF-κB pathways in the liver tissue.Results Network pharmacological analysis indicated that the key pathways including PI3K/Akt mediated the therapeutic effect of TSPJ on ALI.In the rat models of ALI,treatments with biphenyl bisabololol and TSPJ significantly ameliorated CCl4-induced increase of serum levels AST,ALT,ALP,TBil and MDA and decrease of T-SOD and GSH-Px levels(all P<0.01).The rat models of ALI showed significantly increased expression of p-NF-κB(P<0.01),decreased expressions of PI3K,p-Akt and SIRT6 proteins,and elevated expression levels of p-NF-κB,TNF-α and IL-6 proteins in the liver,which were all significantly improved in the treatment groups(P<0.05 or 0.01).Conclusion TSPJ can effectively alleviate CCl4-induced ALI in rats by suppressing inflammatory responses and oxidative stress in the liver viaregulating the PI3K/Akt and SIRT6/NF-κB pathways.

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