1.Evaluation of long-term efficacy of plasma exchange and double-filtration plasmapheresis preprocessing in high-titer ABO-incompatible kidney transplantation
Lifei LIANG ; Guisheng QI ; Rong ZHOU ; Ruirui SANG ; Cheng YANG
Organ Transplantation 2026;17(1):68-76
Objective To explore the clinical efficacy of plasma exchange (PE) and double-filtration plasmapheresis (DFPP) pretreatment regimens for high-titer ABO-incompatible kidney transplantation (ABOi-KT). Methods A retrospective analysis was conducted on 31 cases of ABOi-KT with a follow-up period ≥1 year admitted to Zhongshan Hospital Affiliated to Fudan University from April 2016 to August 2025. The efficacy differences between the PE combined with rituximab (RTX) + oral triple immunosuppressive regimen and the DFPP combined with RTX + oral triple immunosuppressive regimen were compared and analyzed. The titers of blood group antibodies and serum creatinine levels before and after the operation were monitored. The survival curves and cumulative risk occurrence curves were plotted using the Kaplan-Meier method. The survival rates of recipients and transplanted kidneys and the occurrence of complications were analyzed. Results Both the PE regimen and the DFPP regimen may effectively reduce the preoperative blood group antibody titer of the recipients to ≤1∶16. The one-year survival rate of the recipients and the transplanted kidneys both reached 100% after the operation. The postoperative serum creatinine levels of recipients who received the DFPP regimen were lower and more stable. There was no statistically significant difference in the incidence of complications between the two regimens during the same follow-up period. Conclusions Both the PE and DFPP regimens are effective pretreatment regimens for ABOi-KT. The DFPP regimen has more advantages in reducing treatment operations, lowering drug dosage and maintaining the stability of postoperative renal function. For recipients with a high initial antibody titer (≥ 1∶32), individualized determination of the number and frequency of plasma processing for pretreatment may achieve ideal therapeutic effects.
2.α-ketoglutarate ameliorated arsenic-induced hepatic lipid deposition in offspring via PI3K/AKT signaling pathway
Shuangrui BAO ; Hongyan WU ; Ying SUN ; Tong ZHAN ; Qian YANG ; Xinru LIANG ; Zhiyan WAN ; Wenyi CHEN ; Cheng ZHANG
Acta Universitatis Medicinalis Anhui 2026;61(2):225-231
ObjectiveTo investigate the protective effect of α-ketoglutarate (α-KG) on hepatic lipid deposition in offspring caused by arsenic exposure during pregnancy. Methods8-week-old institute of cancer research (ICR) mice were mated in a ratio of 2∶1 between females and males, and the detection of vaginal plugs confirmed pregnant. A total of 32 pregnant mice were randomly divided into four groups: control group, arsenic group, α-KG group, arsenic+α-KG group. On gestational day 0-16 (GD0-GD16), the arsenic and arsenic+α-KG groups were exposed to sodium arsenite (NaAsO2 ,15 mg/L) in drinking water everyday, and the α-KG and arsenic+α-KG groups were gavaged with α-KG (2 g/kg) everyday. On GD16, pregnant mice were euthanized to collect fetal liver, and fetal body weight and crown-rump length were measured. Gene expression differences between the control group and the arsenic group were analyzed by transcriptome. The total triglycerides (TGs) and subtypes in fetal liver were detected by liquid chromatography tandem mass spectrometry (LC-MS/MS). Oil red O staining was used to observe the histopathological changes in the liver. Quantitative polymerase chain reaction (qPCR) was used to detect the expression level of genes related to lipid synthesis, transport, and degradation, and phosphatidylinositol 3' -kinase/ protein kinase B (PI3K/AKT) in the liver of fetus. ResultsTranscriptomics analysis showed that 2 144 genes were downregulated and 1 675 genes were upregulated in the arsenic exposed fetal liver; body weight and crown-rump length were reduced (PTuKey<0.05); the level of hepatic TGs was elevated in arsenic group (PTuKey<0.05); oil-red O staining showed a significant increase in lipid droplets in arsenic group (PTuKey<0.01); the expression of lipid synthesis-related genes were significantly upregulated (PTuKey<0.05); the expression of β-oxidation-related genes and lipid degradation-related genes were downregulated (PTuKey<0.05); the expression of PI3K, AKT decreased(PTuKey<0.05). Compared with the arsenic group, the body weight and crown-rump length of fetus increased in the arsenic+α-KG group (PTuKey<0.05); the level of hepatic TGs decreased in the arsenic+α-KG group (PTuKey<0.05); oil red O staining showed lipid droplets significantly decreased (PTuKey<0.01); the expression of lipid synthesis-related genes were downregulated (PTuKey<0.05), the expression of β-oxidation-related genes and lipid degradation-related genes were upregulated (PTuKey<0.05); the expression levels of PI3K and AKT increased (PTuKey<0.05). Conclusionα-KG alleviated hepatic lipid deposition in offspring exposed to arsenic during pregnancy through activating PI3K/AKT signaling pathway.
3.Research progress in early caries management
ZHAO Mei ; LIANG Yutong ; HE Jinzhi ; CHENG Lei
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(6):585-594
Early caries confined to the enamel layer represent a critical window for achieving noninvasive intervention in caries management. Caries management has shifted from the traditional “drill-and-fill” model toward a modern paradigm centered on caries risk and lesion management. Based on contemporary concepts, this review systematically summarizes recent advances in early caries management, including caries risk assessment, early diagnosis, treatment strategy selection, and follow-up monitoring, while highlighting the major challenges currently being faced, and further reviewing and discussing the application of artificial intelligence (AI) in early caries management. In terms of risk management, conventional systems including the American Dental Association, Caries Management by Risk Assessment, Cariogram, and the Caries-Risk Assessment Tool remain mainstays in clinical practice. However, AI offers predictive capability through higher-dimensional data processing and the integration of numerous influencing factors, with the potential to improve the accuracy of risk stratification. For diagnosis, visual inspection, tactile examination, and bitewing radiography remain fundamental methods, yet their sensitivity for early caries—particularly proximal lesions—is limited. The application of optical technologies, including quantitative light-induced fluorescence, optical coherence tomography, near-infrared light transillumination, fiber-optic transillumination, and laser-induced fluorescence, enables digital characterization of caries lesions, providing a data foundation for demineralization assessment, lesion activity evaluation, and AI model development. The management of early caries primarily relies on noninvasive and minimally invasive approaches. Remineralization therapy is suitable for superficial lesions, resin infiltration offers the dual advantages of inhibiting lesion progression and improving aesthetics, and microabrasion and bleaching may serve as adjunctive aesthetic treatments. Emerging modalities such as laser, ozone, and photodynamic therapy have also demonstrated potential. Treatment decision-making should comprehensively consider lesion activity, patient caries risk status, demineralization depth, patient compliance, and treatment preferences. However, precise quantification of demineralization depth remains challenging, and standardized decision-making criteria are still lacking. Follow-up management should be individualized based on risk stratification, with attention to lesion changes, patient compliance, and the risk of recurrence. In summary, intelligent and precision-based approaches are expected to define the future of early caries management, and the application of AI in risk prediction, image analysis, and clinical decision support is anticipated to further enhance the efficiency and effectiveness of early caries diagnosis and treatment.
4.Rectal Administration of Leek and Konjac-derived Extracellular Vesicles Alleviates High-fat Diet-induced Obesity in Mice via Gut Microbiota Modulation
Ya-Ru ZHANG ; Yu-Jia WU ; Cheng-Bang LIANG ; Xin-He YU ; Yan MU ; Yan TAN
Progress in Biochemistry and Biophysics 2026;53(5):1224-1239
ObjectiveObesity, a global chronic metabolic disease, is closely associated with disruptions in lipid metabolism and gut microbiota. Current intervention strategies still have limitations in terms of safety and microecological regulation, necessitating the exploration of novel natural regulatory approaches. Based on the early pathological characteristics of obesity, this study innovatively employs a rectal delivery method alongside a high-fat diet (HFD)-induced obesity model to systematically evaluate the inhibitory effects, safety, and gut microbiota regulation mechanisms of leek-derived and konjac-derived extracellular vesicles on obesity development. By simulating early clinical intervention scenarios, this study aims to explore the preventive potential of plant-derived extracellular vesicles during the initial stages of obesity onset. MethodsExtracellular vesicles from leek and konjac were isolated using ultracentrifugation combined with density gradient centrifugation. Their nanoscale properties were characterized by dynamic light scattering (DLS), transmission electron microscopy (TEM), and nanoparticle tracking analysis (NTA). Male C57BL/6J mice were randomly divided into four groups: normal control (NC), high-fat diet (HFD), leek-derived extracellular vesicles (LEVs), and konjac-derived extracellular vesicles (KEVs). Beginning simultaneously with HFD feeding, mice in the intervention groups received 20 g/L vesicles rectally every 3 d for 4 weeks. Body mass and body composition were monitored throughout. At endpoint, mouse serum, adipose tissue, and colonic contents were collected. Serum biochemical indices (lipid profile, liver and kidney function, cardiac markers) were assessed to evaluate safety and metabolic efficacy, while 16S rRNA sequencing was employed to analyze gut microbial structure and diversity. ResultsDLS, NTA, and TEM confirmed that both LEVs and KEVs exhibited typical cup-shaped nanostructures with average particle sizes of approximately 284 nm and 223 nm, respectively. LEVs and KEVs treatment significantly suppressed HFD-induced weight gain and elevation of body-fat percentage (P<0.05), and reduced accumulation of abdominal white and epididymal adipose tissue. Serological analyses showed that both vesicles lowered total cholesterol, triglycerides and LDL-cholesterol, and ameliorated liver enzyme profiles (ALT, AST), demonstrating lipid-metabolic regulation and hepatoprotective effects. No hepatic, renal or cardiac dysfunction was observed, indicating favorable safety. Gut microbiota analyses revealed that vesicle intervention partially restored HFD-depleted microbial diversity and reshaped community structure. Notably, LEVs markedly increased the relative abundance of the beneficial taxon Lachnospiraceae at the family level, which is known for producing short-chain fatty acids and enhancing intestinal barrier function. Furthermore, Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) functional prediction suggested that LEVs and KEVs modulated gut microbial functions through distinct mechanisms: LEVs downregulated pathways related to ribosomes and DNA replication while enhancing xenobiotic degradation, whereas KEVs tended to upregulate energy metabolism and protein synthesis toward healthy levels. ConclusionRectally administered LEVs and KEVs exhibit excellent safety and pronounced metabolic benefits during the early phase of obesity, suppressing weight gain, correcting lipid dysregulation, and exerting effects via modulation of gut microbial composition and function. This study provides systematic experimental evidence supporting plant-derived exosome-like vesicles as an early intervention strategy against obesity.
5.Rectal Administration of Leek and Konjac-derived Extracellular Vesicles Alleviates High-fat Diet-induced Obesity in Mice via Gut Microbiota Modulation
Ya-Ru ZHANG ; Yu-Jia WU ; Cheng-Bang LIANG ; Xin-He YU ; Yan MU ; Yan TAN
Progress in Biochemistry and Biophysics 2026;53(5):1224-1239
ObjectiveObesity, a global chronic metabolic disease, is closely associated with disruptions in lipid metabolism and gut microbiota. Current intervention strategies still have limitations in terms of safety and microecological regulation, necessitating the exploration of novel natural regulatory approaches. Based on the early pathological characteristics of obesity, this study innovatively employs a rectal delivery method alongside a high-fat diet (HFD)-induced obesity model to systematically evaluate the inhibitory effects, safety, and gut microbiota regulation mechanisms of leek-derived and konjac-derived extracellular vesicles on obesity development. By simulating early clinical intervention scenarios, this study aims to explore the preventive potential of plant-derived extracellular vesicles during the initial stages of obesity onset. MethodsExtracellular vesicles from leek and konjac were isolated using ultracentrifugation combined with density gradient centrifugation. Their nanoscale properties were characterized by dynamic light scattering (DLS), transmission electron microscopy (TEM), and nanoparticle tracking analysis (NTA). Male C57BL/6J mice were randomly divided into four groups: normal control (NC), high-fat diet (HFD), leek-derived extracellular vesicles (LEVs), and konjac-derived extracellular vesicles (KEVs). Beginning simultaneously with HFD feeding, mice in the intervention groups received 20 g/L vesicles rectally every 3 d for 4 weeks. Body mass and body composition were monitored throughout. At endpoint, mouse serum, adipose tissue, and colonic contents were collected. Serum biochemical indices (lipid profile, liver and kidney function, cardiac markers) were assessed to evaluate safety and metabolic efficacy, while 16S rRNA sequencing was employed to analyze gut microbial structure and diversity. ResultsDLS, NTA, and TEM confirmed that both LEVs and KEVs exhibited typical cup-shaped nanostructures with average particle sizes of approximately 284 nm and 223 nm, respectively. LEVs and KEVs treatment significantly suppressed HFD-induced weight gain and elevation of body-fat percentage (P<0.05), and reduced accumulation of abdominal white and epididymal adipose tissue. Serological analyses showed that both vesicles lowered total cholesterol, triglycerides and LDL-cholesterol, and ameliorated liver enzyme profiles (ALT, AST), demonstrating lipid-metabolic regulation and hepatoprotective effects. No hepatic, renal or cardiac dysfunction was observed, indicating favorable safety. Gut microbiota analyses revealed that vesicle intervention partially restored HFD-depleted microbial diversity and reshaped community structure. Notably, LEVs markedly increased the relative abundance of the beneficial taxon Lachnospiraceae at the family level, which is known for producing short-chain fatty acids and enhancing intestinal barrier function. Furthermore, Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) functional prediction suggested that LEVs and KEVs modulated gut microbial functions through distinct mechanisms: LEVs downregulated pathways related to ribosomes and DNA replication while enhancing xenobiotic degradation, whereas KEVs tended to upregulate energy metabolism and protein synthesis toward healthy levels. ConclusionRectally administered LEVs and KEVs exhibit excellent safety and pronounced metabolic benefits during the early phase of obesity, suppressing weight gain, correcting lipid dysregulation, and exerting effects via modulation of gut microbial composition and function. This study provides systematic experimental evidence supporting plant-derived exosome-like vesicles as an early intervention strategy against obesity.
6.Practice and prospect of China’s participation in international cooperation for malaria control from the perspective of the “China-Africa Year of People-to-People Exchanges”
Cheng LIANG ; Guoding ZHU ; Jun CAO
Chinese Journal of Schistosomiasis Control 2026;38(2):109-113
As one of major global public health challenges, malaria control is crucial to building a global community of health for all. The 2026 “China-Africa Year of People-to-People Exchanges” provides a new opportunity for China’s participation in international cooperation for malaria control. This article introduces the strategic significance and practical path of China’s participation in international cooperation on malaria control in the new era, and discusses policy recommendations for optimizing the cooperation model between China and African countries, aiming to provide insights into accelerating the progress towards global malaria elimination and facilitating the building of a China-Africa community of health for all.
7.Advantages and prospects of wireless endoscope in urology
Cheng YANG ; Di NIU ; Chaozhao LIANG
Journal of Modern Urology 2025;30(1):4-7
There are various complicated wired connections in traditional endoscopic systems, which have disadvantages such as prolonging the preoperative setup time, restricting the movement of laparoscope, hindering the intraoperative manipulation, potentially contaminating the operation area and causing safety hazards.Our team has developed a wireless intelligent ultra-high-definition endoscopic system for the first time, which has been widely applied in many urological surgeries, such as tumors, stones, transurethral prostate enucleation, laparoscopic pyeloureteroplasty, laparoscopic renal cyst top decompression and so on.This essay reviews the applications and advantages of this system in urology, and forecasts its prospects.
8.Simultaneous TAVI and McKeown for esophageal cancer with severe aortic regurgitation: A case report
Liang CHENG ; Lulu LIU ; Xin XIAO ; Lin LIN ; Mei YANG ; Jingxiu FAN ; Hai YU ; Longqi CHEN ; Yingqiang GUO ; Yong YUAN
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):277-280
A 71-year-old male presented with esophageal cancer and severe aortic valve regurgitation. Treatment strategies for such patients are controversial. Considering the risks of cardiopulmonary bypass and potential esophageal cancer metastasis, we successfully performed transcatheter aortic valve implantation and minimally invasive three-incision thoracolaparoscopy combined with radical resection of esophageal cancer (McKeown) simultaneously in the elderly patient who did not require neoadjuvant treatment. This dual minimally invasive procedure took 6 hours and the patient recovered smoothly without any surgical complications.
9.Progress of Research on Advanced Non-Small Cell Lung Cancer with HER-2 Mutation
Liang ZHANG ; Changliang YANG ; Peidong LI ; Ying CHENG
Cancer Research on Prevention and Treatment 2025;52(2):87-92
Anti-tumor drug research and development in non-small cell lung cancer (NSCLC) is rapidly developing, and the clinical application of high-throughput sequencing technology is also becoming widespread. Accordingly, researchers are focusing on human epidermal growth factor receptor-2 (HER-2) gene as a rare target of NSCLC, and a series of exploratory studies has been performed. Traditional chemotherapy and immunotherapy are unsatisfactory in the HER-2 mutant population, whereas the survival improvement of anti-HER-2 monoclonal antibodies and pan-HER inhibitors is limited. The development of antibody drug conjugate (ADC) ushers in a turning point for HER-2-mutated NSCLC, and new ADC drugs represented by trastuzumab deruxtecan are making a breakthrough. It opens up a new era of precision therapy for advanced HER-2-mutated NSCLC. Additionally, novel HER-2 inhibitors show very encouraging initial efficacy and safety, and clinical trials are ongoing. This review focuses on the latest progress of research on HER-2-mutated NSCLC.
10.Inverse distance weight interpolation method for missing data of PM2.5 spatiotemporal series
Yurou LIANG ; Hongling WU ; Weipeng WANG ; Feng CHENG ; Ping DUAN
Journal of Environmental and Occupational Medicine 2025;42(2):171-178
Background Fine particulate matter (PM2.5) monitoring stations may generate missing data for a certain period of time due to various factors. This data loss will adversely affect air quality assessment and pollution control decision-making. Objective To propose an inverse distance weighted (IDW) spatiotemporal interpolation method based on particle swarm optimization (PSO) to interpolate and fill missing PM2.5 spatiotemporal sequence data and increase interpolation accuracy. Methods An interpolation experiment was designed into two parts. The first part used hourly PM2.5 observational data from four moments on January 1, 2017 in the Yangtze River Delta region. The second part employed daily PM2.5 observational data from the first 10 d of January 2017 in the Beijing-Tianjin-Hebei region. Interpolation accuracy was evaluated using four metrics: root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and mean relative error (MRE). Results IDW spatiotemporal interpolation method optimized with PSO significantly improved the accuracy of filling missing PM2.5 spatiotemporal sequence data. In the hourly-scale experiment conducted in the Yangtze River Delta region, compared to a distance index of 2, the accuracy metrics RMSE, MAE, MAPE, and MRE generated by the proposed method improved on average by 0.17 μg·m−3, 0.27 μg·m−3, 0.17%, and 0.01%, respectively. The PM2.5 spatial field maps generated for four moments based on this method clearly illustrated the spatiotemporal distribution characteristics of hourly PM2.5 concentrations in the Yangtze River Delta region. In the daily-scale experiment conducted in the Beijing-Tianjin-Hebei region, the PSO-optimized distance index outperformed the traditional method, with interpolation accuracy improvements of approximately 0.215 μg·m−3, 0.283 μg·m−3, 0.174%, and 0.014%, respectively. Furthermore, the seasonal PM2.5 spatial field maps generated by this method revealed the spatiotemporal distribution characteristics of PM2.5 concentrations in the Beijing-Tianjin-Hebei region across different seasons, further validating the effectiveness and applicability of this method. Conclusion The IDW spatiotemporal interpolation method optimized with PSO is highly accurate and reliable for interpolating the missing data in the Yangtze River Delta region and the Beijing-Tianjin-Hebei region, providing valuable insights for air pollution control and public health protection.


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