1.Research progress on imaging examinations of macular hole
Luxuan WANG ; Xiuhua LIU ; Lei GAO ; Lifeng LIU
International Eye Science 2026;26(1):63-66
Macular hole is an age-related disorder defined by a full-thickness defect of the foveal retina and a profound loss of central vision. First described in the mid-19th century, its study has now extended across more than 150 years. Breakthroughs in science and technology—especially the relentless refinement of retinal imaging platforms—have progressively refined our understanding of the disease. Optical coherence tomography(OCT)in particular has revolutionized characterization of the condition. At the same time, the widespread adoption of macular hole surgery has not only driven deeper investigations into pathogenesis and pre-operative assessment but also facilitated the global dissemination of surgical expertise and a marked rise in anatomical success. This review synthesizes the multimodal imaging hallmarks of macular holes and highlights the remaining clinical challenges in the application of OCT technology.
2.Development and validation of a multi-region DNA methylation signature-based prognostic model for breast cancer in young women
Sun Lifeng ; Han Lei ; Chen Guidong ; Cheng Yanan ; Yu Jinpu
Chinese Journal of Cancer Biotherapy 2026;33(8):876-885
[摘 要] 目的:探讨年轻乳腺癌独特的DNA甲基化特征,筛选与预后相关的甲基化位点,构建并验证预后预测模型,并通过多组学整合及关键蛋白验证评估其临床价值。方法:收集癌症基因组图谱(TCGA)数据库中的乳腺癌样本DNA甲基化及临床数据,筛选年轻乳腺癌特有的甲基化位点。采用随机森林、LASSO回归及单因素和多因素Cox比例风险回归分析构建预后模型。使用受试者工作特征(ROC)曲线、校准曲线和一致性指数(C-index)评估模型性能,并比较高、低风险组间的多组学特征差异,在独立队列中通过免疫组化法检测模型关键基因LAMA5的蛋白表达,分析其与预后的关系。结果:年轻乳腺癌相较于老年乳腺癌,在启动子区域(尤其是CpG岛)呈现显著低甲基化特征。通过多步骤差异分析获得3 489个年轻乳腺癌特有的甲基化位点,经Cox比例风险回归筛选出12个与总生存期(OS)独立相关的位点,其中启动子区、基因体区和基因间区位点各4个。基于筛选出的12个甲基化位点构建的预测模型,在TCGA训练集中显示出良好的区分度,高风险组总生存期显著更差(P = 0.002 5),5、8和10年OS预测曲线下面积(AUC)达0.88~0.94。多组学分析显示,高风险组丝裂原活化蛋白激酶(MAPK)信号通路激活,TP53基因突变频率更高,雌激素受体α蛋白表达较低。将TP53突变状态及雌激素受体1(ESR1)mRNA表达水平等关键多组学指标纳入模型,构建综合列线图,其预测效能进一步提升。组织芯片验证显示,模型关键基因LAMA5蛋白表达阴性患者的OS更差(P = 0.046),且富集于三阴性乳腺癌,与模型高风险组的临床病理特征一致。结论:整合启动子和非启动子区域信息的基于12个甲基化位点的模型可用于年轻乳腺癌患者的预后分层。联合年龄、TP53突变及ESR1 mRNA表达水平构建的综合列线图显示出较单一甲基化模型更高的预测效能。
3.Different Lauren subtypes of gastric cancer exhibit differential expression of fac-tors secreted by cancer-associated fibroblasts
Lu JU ; Guotao REN ; Shiqi ZHENG ; Yeqi SUN ; Lei CAI ; Ruifen WANG ; Lifeng WANG
Chinese Journal of Clinical and Experimental Pathology 2025;41(3):324-333
Purpose To investigate the differential expression of proteins secreted by diffuse-type gastric cancer-associated fibroblasts(DGC-CAFs)and intestinal-type gastric cancer-associated fibroblasts(IGC-CAFs)according to Lauren classification of gastric cancer.Methods Fresh surgery samples were acquired to extract primary cancer-asso-ciated fibroblasts(CAFs)to obtain the conditional medium,including three cases of diffuse-type gastric cancer(DGC)and three cases of intestinal-type gastric cancer(IGC).Then high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)was used to detect the differences in secreted factors between DGC-CAFs and IGC-CAFs.Additionally,a total of 1 174 cases were collected from the GEO and TCGA databases,and the distribution of stromal cells was assessed via ESTIMATE to derive stromal scores for both DGC and GC.Furthermore,Kaplan-Meier survival analysis was performed to evaluate the relationship between high stromal scores,elevated CAFs proportions,and patient prognosis.Subsequently,GO enrichment analysis was performed to investigate associated genes and their bi-ological functions.Results HPLC-MS/MS analysis showed that only 10 proteins were identified to be expressed in both DGC-CAFs and IGC-CAFs,namely SPARC,COL6A1,COL1A2,COL1A1,COL3A1,FN1,DCN,ACTG1,TIMP1 and SHROOM3.There were 8 proteins expressed higher in DGC-CAFs than IGC-CAFs in all cases with ratio>2,namely COL3A1(5.28),COL1A2(3.98),DCN(3.71),TIMP1(3.40),COL6A1(3.35),ACTG1(3.13),COL1A1(2.84)and SHROOM3(2.50).Two other proteins,TUBB and BASP1,were identified in all three cases of DGC-CAFs.The former was only identified in one case of IGC-CAFs,while the latter was not identified in all three cases of IGC-CAFs.The results of bioinformatics analysis showed that the stromal score of DGC was higher than IGC,which correlated with poor prognosis.Analysis of cell components revealed that the related genes were more enriched in ECM,collagen-containing extracellular matrix and cell-cell junction.Also,the biological process and molecular function was based on the components,which was consistent with HPLC-MS/MS analysis results.Conclusion There are differ-ences in secreted proteins of DGC-CAFs and IGC-CAFs,both on the types and the content.The differential proteins are mostly enriched in ECM-related signaling pathways.Presumably,the high content of CAFs in the stroma affects the prognosis of gastric cancer patients by influencing the gene expression and the function of receptor pathway of ECM.
4.Different Lauren subtypes of gastric cancer exhibit differential expression of fac-tors secreted by cancer-associated fibroblasts
Lu JU ; Guotao REN ; Shiqi ZHENG ; Yeqi SUN ; Lei CAI ; Ruifen WANG ; Lifeng WANG
Chinese Journal of Clinical and Experimental Pathology 2025;41(3):324-333
Purpose To investigate the differential expression of proteins secreted by diffuse-type gastric cancer-associated fibroblasts(DGC-CAFs)and intestinal-type gastric cancer-associated fibroblasts(IGC-CAFs)according to Lauren classification of gastric cancer.Methods Fresh surgery samples were acquired to extract primary cancer-asso-ciated fibroblasts(CAFs)to obtain the conditional medium,including three cases of diffuse-type gastric cancer(DGC)and three cases of intestinal-type gastric cancer(IGC).Then high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)was used to detect the differences in secreted factors between DGC-CAFs and IGC-CAFs.Additionally,a total of 1 174 cases were collected from the GEO and TCGA databases,and the distribution of stromal cells was assessed via ESTIMATE to derive stromal scores for both DGC and GC.Furthermore,Kaplan-Meier survival analysis was performed to evaluate the relationship between high stromal scores,elevated CAFs proportions,and patient prognosis.Subsequently,GO enrichment analysis was performed to investigate associated genes and their bi-ological functions.Results HPLC-MS/MS analysis showed that only 10 proteins were identified to be expressed in both DGC-CAFs and IGC-CAFs,namely SPARC,COL6A1,COL1A2,COL1A1,COL3A1,FN1,DCN,ACTG1,TIMP1 and SHROOM3.There were 8 proteins expressed higher in DGC-CAFs than IGC-CAFs in all cases with ratio>2,namely COL3A1(5.28),COL1A2(3.98),DCN(3.71),TIMP1(3.40),COL6A1(3.35),ACTG1(3.13),COL1A1(2.84)and SHROOM3(2.50).Two other proteins,TUBB and BASP1,were identified in all three cases of DGC-CAFs.The former was only identified in one case of IGC-CAFs,while the latter was not identified in all three cases of IGC-CAFs.The results of bioinformatics analysis showed that the stromal score of DGC was higher than IGC,which correlated with poor prognosis.Analysis of cell components revealed that the related genes were more enriched in ECM,collagen-containing extracellular matrix and cell-cell junction.Also,the biological process and molecular function was based on the components,which was consistent with HPLC-MS/MS analysis results.Conclusion There are differ-ences in secreted proteins of DGC-CAFs and IGC-CAFs,both on the types and the content.The differential proteins are mostly enriched in ECM-related signaling pathways.Presumably,the high content of CAFs in the stroma affects the prognosis of gastric cancer patients by influencing the gene expression and the function of receptor pathway of ECM.
5.A case of recurrent renal pelvic sarcomatoid carcinoma treated with PD-1 inhibitor achieved complete remission
Lei GAO ; Chao LU ; Xiaokai SHI ; Yangyang SUN ; Xiaoli ZHOU ; Xiaopeng WU ; Lifeng ZHANG ; Li ZUO
Chinese Journal of Urology 2024;45(1):55-56
Sarcomatoid carcinoma of the renal pelvis accounts for a very low percentage of malignant tumors in the renal pelvis and has a poor prognosis. This article reported a patient with sarcomatoid carcinoma of the renal pelvis. The patient presented with macroscopic hematuria as the first symptom, and CT suggested left renal occupancy, unilateral nephrectomy was performed, and pathology suggested sarcomatoid carcinoma of the renal pelvis. Three weeks after surgery, a follow-up CT showed tumor recurrence. Programmed death 1(PD-1)inhibitor was given once every 3 weeks. Repeated CT examination after 24 weeks of continuous treatment suggested that the recurrent tumor disappeared. The patients was followed-up for 42 months without tumor recurrence or metastasis.
6.Effect of neferine on diabetic nephropathy by regulating SDF-1/CXCR4 signal pathway
Ying WANG ; Lifeng PING ; Tongtong LIU ; Shanshan LIU ; Lei LIU
Journal of Shanghai Jiaotong University(Medical Science) 2024;44(2):183-195
Objective·To investigate the effect of neferine(Nef)on renal tissues of diabetic nephropathy(DN)rats and its related mechanism.Methods·DN model rats were constructed by feeding high-fat diet combined with intraperitoneal injection of streptozotocin,and the successfully constructed rats were randomly divided into DN group,Nef(low,medium and high)dose groups and Nef high-dose+pathway antagonist(AMD3100)group,with 10 rats in each group.At the same time,10 common rats were selected as the normal group.The levels of fasting blood glucose(FBG),24 h urinary protein,serum glycosylated hemoglobin(HbA1c),serum creatinine(Scr),blood urea nitrogen(BUN)and renal index of rats in the six groups were measured.Hematoxylin-eosin(H-E)and Masson staining were used to observe the pathological changes of renal tissues.The content of malondialdehyde(MDA)in renal tissues was determined by thiobarbituric acid(TBA)method,and the activities of superoxide dismutase(SOD)and catalase(CAT)in renal tissues were determined by water soluble tetrazolium(WST-1)method and ammonium molybdate method,respectively.The mRNA and protein expressions of stromal cell-derived factor-1(SDF-1)and CXC chemokine receptor 4(CXCR4)in renal tissues were detected by quantitative real-time PCR(qPCR)and Western blotting,respectively.Rat renal tubular epithelium cells NRK-52E were induced by high glucose(30 mmol/L glucose)to establish DN cell model.The cells were divided into control group,high glucose(HG)group,HG+Nef(low,medium and high)dose(i.e.HG+Nef-L,M and H)group,and HG+Nef-H +AMD3100 group.SOD and CAT activities were detected by WST-1 method and ammonium molybdate method,respectively.MDA content was detected by TBA method.The mRNA and protein expressions of SDF-1 and CXCR4 were detected by qPCR and Western blotting,respectively.CCK-8 method and flow cytometry were used to detect cell viability and apoptosis rate,respecti-vely.Results·Compared with the DN group,the levels of FBG,24 h urinary protein,HbA1c,Scr,BUN,renal index and MDA content in Nef(low,medium and high)dose groups and Nef high-dose+AMD3100 group were decreased,the mRNA and protein expressions of SDF-1 and CXCR4 were increased,and the activities of SOD and CAT were increased(all P<0.05).The degree of pathological damage and fibrosis of renal tissues was reduced;all of the above changes were dose-dependent.AMD3100 could weaken the renal protective effect of high-dose Nef on DN rats.Compared with the HG group,NRK-52E cell viability,SOD and CAT activities,and the mRNA and protein expressions of SDF-1 and CXCR4 were increased in HG+Nef-L,M and H groups,while apoptosis rate and MDA content were decreased(all P<0.05).AMD3100 could reverse the protective effect of Nef-H on NRK-52E cell damage.Conclusion·Nef may control blood glucose levels on DN rats and improve antioxidant capacity by activating the SDF-1/CXCR4 signal pathway,playing a renal protective role.
7.Clinical Validation Study of Deep Learning-Generated Magnetic Resonance Images
Guangdong FU ; Lifeng PENG ; Zhihao ZHANG ; Lei XIANG ; Long WANG ; Jian HE
Chinese Journal of Medical Instrumentation 2024;48(5):493-497
This research utilizes a deep learning-based image generation algorithm to generate pseudo-sagittal STIR sequences from sagittal T1WI and T2WI MR images.The evaluations include both subjective assessments by two physicians and objective analyses,measuring image quality through SNR and CNR in ROIs of five different tissues.Further analyses,including MAE,PSNR,SSIM,and COR,establish a strong correlation between the generated STIR sequences and the gold standard,with Bland-Altman analysis indicating pixel consistency.The findings indicate that the deep learning-generated STIR sequences not only align with but potentially surpass the gold standard in terms of image quality and clinical diagnostic capabilities.Moreover,the approach demonstrates promise for clinical implementation,offering reduced scan time and enhanced imaging efficiency.
8.Investigation of oligomeric proanthocyanidins extracted from Rhodiolae Crenulatae Radix et Rhizomes using deep eutectic solvents and identified via data-dependent acquisition mass-spectroscopy
Li JIA ; Liming WANG ; Xiaoxiao ZHANG ; Qingrui ZHANG ; Peng LEI ; Yanxu CHANG ; Lifeng HAN ; Xin CHAI ; Wenzhi YANG ; Yuefei WANG ; Miaomiao JIANG
Journal of Pharmaceutical Analysis 2024;14(11):1695-1706
In this study,34 deep eutectic solvents(DESs)were successfully prepared for the extraction of proan-thocyanidin from Rhodiolae Crenulatae Radix et Rhizomes.The extraction process was optimized using single factor exploration and Box-Behnken design-response surface analysis.The extraction rate was significantly improved when the molar ratio of choline chloride to 1,3-propanediol was 1:3.5 and the water content was 30%(V/V)in DESs.AB-8 macroporous resin and ethyl acetate were used for separation and refining,and the oligomer-rich proanthocyanidin components were eventually obtained.The ultra-violet(UV)and infrared(IR)spectra showed that the proanthocyanidins were mainly composed of catechin and epicatechin.To further clarify the chemical composition of proanthocyanidin,an ion scan list containing 156 proanthocyanidins precursors was obtained by constructing a proanthocyanidins struc-tural library and mass defect filtering(MDF)algorithm,combined with the full mass spectrometry(MS)/dd-MS2 scan mode that turns on the"if idle pick others"function.By using ultra-high performance liquid chromatography and high-resolution MS(UHPLC/HRMS),the analysis used both targeted and non-targeted methods to detect proanthocyanidins.Finally,50 oligomeric proanthocyanidin(OPC)com-pounds were identified,including 7 monomers,22 dimers,20 trimers,and 1 tetramer,most of which were procyanidins of proanthocyanidins(84%),and a small amount of prodelphinidin(14%)and other types of proanthocyanidins(2%),which enabled the systematic characterization of proanthocyanidin components from Rhodiolae Crenulatae Radix et Rhizomes.Meanwhile,the comparison with the grape seeds OPCs standard(United States Pharmacopeia)revealed that the proanthocyanidins in Rhodiolae Crenulatae Radix et Rhizomes were more abundant,suggesting that the proanthocyanidins in Rhodiolae Crenulatae Radix et Rhizomes has promising applications.
9.Formulation,characterization,and evaluation of curcumin-loaded ginger-derived nanovesicles for anti-colitis activity
Shengjie HUANG ; Min ZHANG ; Xiaoge LI ; Jierong PEI ; Zhirong ZHOU ; Peng LEI ; Meng WANG ; Peng ZHANG ; Heshui YU ; Guanwei FAN ; Lifeng HAN ; Haiyang YU ; Yuefei WANG ; Miaomiao JIANG
Journal of Pharmaceutical Analysis 2024;14(12):1879-1890
Plant-derived nanovesicles have gained attention given their similarity to mammalian exosomes and advantages such as low cost,sustainability,and tissue targeting.Thus,they hold promise for disease treatment and drug delivery.In this study,we proposed a time-efficient method,PEG 8000 combined with sucrose density gradient centrifugation to prepare ginger-derived nanovesicles(GDNVs).Subse-quently,curcumin(CUR)was loaded onto GDNV by ultrasonic incubation.The optimum conditions for ginger-derived nanovesicles loaded with curcumin(CG)were ultrasound time of 3 min,a carrier-to-drug ratio(GDNV:CUR)of 1∶1.The study achieved a high loading capacity(94.027%±0.094%)and encapsu-lation efficiency(89.300%±0.344%).Finally,the drugs'in vivo distribution and anti-colitis activity were investigated in mice.CG was primarily distributed in the colon after oral administration.Compared to CUR and GDNV,CG was superior in improving disease activity,colon length,liver and spleen coefficients,myeloperoxidase activity,and biochemical factor levels in ulcerative colitis(UC)mice.In addition,CG plays a protective role against UC by modulating serum metabolite levels and gut flora.In summary,our study demonstrated that GDNV can be used for CUR delivery with enhanced therapeutic potential.
10.Investigation of oligomeric proanthocyanidins extracted from Rhodiolae Crenulatae Radix et Rhizomes using deep eutectic solvents and identified via data-dependent acquisition mass-spectroscopy.
Li JIA ; Liming WANG ; Xiaoxiao ZHANG ; Qingrui ZHANG ; Peng LEI ; Yanxu CHANG ; Lifeng HAN ; Xin CHAI ; Wenzhi YANG ; Yuefei WANG ; Miaomiao JIANG
Journal of Pharmaceutical Analysis 2024;14(11):101002-101002
In this study, 34 deep eutectic solvents (DESs) were successfully prepared for the extraction of proanthocyanidin from Rhodiolae Crenulatae Radix et Rhizomes. The extraction process was optimized using single factor exploration and Box-Behnken design-response surface analysis. The extraction rate was significantly improved when the molar ratio of choline chloride to 1,3-propanediol was 1:3.5 and the water content was 30% (V/V) in DESs. AB-8 macroporous resin and ethyl acetate were used for separation and refining, and the oligomer-rich proanthocyanidin components were eventually obtained. The ultraviolet (UV) and infrared (IR) spectra showed that the proanthocyanidins were mainly composed of catechin and epicatechin. To further clarify the chemical composition of proanthocyanidin, an ion scan list containing 156 proanthocyanidins precursors was obtained by constructing a proanthocyanidins structural library and mass defect filtering (MDF) algorithm, combined with the full mass spectrometry (MS)/dd-MS2 scan mode that turns on the "if idle pick others" function. By using ultra-high performance liquid chromatography and high-resolution MS (UHPLC/HRMS), the analysis used both targeted and non-targeted methods to detect proanthocyanidins. Finally, 50 oligomeric proanthocyanidin (OPC) compounds were identified, including 7 monomers, 22 dimers, 20 trimers, and 1 tetramer, most of which were procyanidins of proanthocyanidins (84%), and a small amount of prodelphinidin (14%) and other types of proanthocyanidins (2%), which enabled the systematic characterization of proanthocyanidin components from Rhodiolae Crenulatae Radix et Rhizomes. Meanwhile, the comparison with the grape seeds OPCs standard (United States Pharmacopeia) revealed that the proanthocyanidins in Rhodiolae Crenulatae Radix et Rhizomes were more abundant, suggesting that the proanthocyanidins in Rhodiolae Crenulatae Radix et Rhizomes has promising applications.

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