1.Academic Characteristics of Contemporary Chinese Medicine Masters in Treating Diabetic Kidney Disease Based on SrTO
Yu SUN ; Xiaodan WANG ; Yingzi CUI ; Tianying CHANG ; Fan LI ; Lisha WANG ; Chenxuan DONG ; Shoulin ZHANG ; Xing LIAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):258-269
ObjectiveTo explore the academic characteristics of contemporary renowned Chinese medicine masters in treating diabetic kidney disease (DKD) from the perspectives of principles, methods, formulas, and medications. MethodsIn strict accordance with the Systematic Review of Text and Opinion (SrTO) process developed by the Joanna Briggs Institute (JBI), an Australian evidence-based healthcare center, the databases including China National Knowledge Infrastructure (CNKI), VIP Database, Wanfang Data, and China Biomedical Literature Service System (SinoMed) were searched. Based on predefined inclusion and exclusion criteria, text information extraction, quality evaluation, and text information synthesis were conducted sequentially. The data were analyzed and presented in the form of text and figures. ResultsA total of 215 articles related to 43 contemporary renowned experts in the fields of Chinese medicine nephrology and endocrinology were included. The study found that the academic thoughts of these masters in the treatment of DKD are extensive, involving multiple levels such as disease understanding, therapeutic strategies, formula application, and medication use. In terms of disease understanding, the primary pathogenesis is characterized by deficiency in the root and excess in the manifestation. It is emphasized that internal factors, such as congenital endowment deficiency, interact with external factors such as improper diet, emotional disturbances, invasion of exogenous pathogens, and delayed or inappropriate treatment, to jointly induce the disease. This further gives rise to various pathogenetic theories, including obstruction of renal collaterals by blood stasis, toxin-induced damage to renal collaterals, latent wind disturbing the kidney, and internal heat leading to mass formation. In terms of therapeutic strategies and medication use, the principal treatment method is to replenish Qi and nourish Yin. Stage-based and syndrome-differentiated treatments are advocated. Flexible use of insect-derived drugs and wind-dispelling drugs is emphasized, along with proficiency in applying classical formulas and drug pairs. Integrated internal and external treatments, as well as the combined application of multiple therapeutic approaches, are commonly employed for comprehensive management. Meanwhile, the concept of "preventive treatment of disease" is upheld, and individualized long-term management of patients is advocated. ConclusionThrough the SrTO process, the academic thoughts of contemporary renowned Chinese medicine masters in the treatment of DKD have been systematically and standardly synthesized, providing a scientific and standardized basis for future theoretical exploration.
2.Academic Characteristics of Contemporary Chinese Medicine Masters in Treating Diabetic Kidney Disease Based on SrTO
Yu SUN ; Xiaodan WANG ; Yingzi CUI ; Tianying CHANG ; Fan LI ; Lisha WANG ; Chenxuan DONG ; Shoulin ZHANG ; Xing LIAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):258-269
ObjectiveTo explore the academic characteristics of contemporary renowned Chinese medicine masters in treating diabetic kidney disease (DKD) from the perspectives of principles, methods, formulas, and medications. MethodsIn strict accordance with the Systematic Review of Text and Opinion (SrTO) process developed by the Joanna Briggs Institute (JBI), an Australian evidence-based healthcare center, the databases including China National Knowledge Infrastructure (CNKI), VIP Database, Wanfang Data, and China Biomedical Literature Service System (SinoMed) were searched. Based on predefined inclusion and exclusion criteria, text information extraction, quality evaluation, and text information synthesis were conducted sequentially. The data were analyzed and presented in the form of text and figures. ResultsA total of 215 articles related to 43 contemporary renowned experts in the fields of Chinese medicine nephrology and endocrinology were included. The study found that the academic thoughts of these masters in the treatment of DKD are extensive, involving multiple levels such as disease understanding, therapeutic strategies, formula application, and medication use. In terms of disease understanding, the primary pathogenesis is characterized by deficiency in the root and excess in the manifestation. It is emphasized that internal factors, such as congenital endowment deficiency, interact with external factors such as improper diet, emotional disturbances, invasion of exogenous pathogens, and delayed or inappropriate treatment, to jointly induce the disease. This further gives rise to various pathogenetic theories, including obstruction of renal collaterals by blood stasis, toxin-induced damage to renal collaterals, latent wind disturbing the kidney, and internal heat leading to mass formation. In terms of therapeutic strategies and medication use, the principal treatment method is to replenish Qi and nourish Yin. Stage-based and syndrome-differentiated treatments are advocated. Flexible use of insect-derived drugs and wind-dispelling drugs is emphasized, along with proficiency in applying classical formulas and drug pairs. Integrated internal and external treatments, as well as the combined application of multiple therapeutic approaches, are commonly employed for comprehensive management. Meanwhile, the concept of "preventive treatment of disease" is upheld, and individualized long-term management of patients is advocated. ConclusionThrough the SrTO process, the academic thoughts of contemporary renowned Chinese medicine masters in the treatment of DKD have been systematically and standardly synthesized, providing a scientific and standardized basis for future theoretical exploration.
3.Establishment and preliminary evaluation of a fluorescent recombinase-aided amplification assay for detection of Strongyloides stercoralis
Xiaodan CHEN ; Wanqiong CHENG ; Xiaoyin FU ; Jiayin LÜ ; Jiayue SUN ; Qiuhua BAI ; Xue HAN ; Yunliang SHI ; Dengyu LIU
Chinese Journal of Schistosomiasis Control 2026;38(2):160-168
Objective To establish a fluorescent recombinase-aided amplification (RAA) assay for detection of Strongyloides stercoralis nucleic acid and to preliminarily evaluate its performance. Methods Six sets of specific primers targeting S. stercoralis 18S ribosomal RNA (18S rRNA) gene and one fluorescent probe were designed and synthesized. The optimal primer-probe set was determined through systematic screening and optimization to establish the fluorescent RAA assay. The assay was evaluated using S. stercoralis genomic DNA at concentrations of 100, 10, and 1 pg/μL, and 100, 10, and 1 fg/μL, as well as recombinant pUC57 plasmids containing the target gene fragments at 1 × 105, 1 × 104, 1 × 103, 1 × 102, 1 × 101, 1 × 100 copies/reaction, to determine the analytical sensitivity. Genomic DNA from Ascaris lumbricoides, Ancylostoma duodenale, Enterobius vermicularis, Angiostrongylus cantonensis, Trichinella spiralis, Clonorchis sinensis, Schistosoma japonicum, and Taenia saginata was used to assess assay specificity. A total of 25 stool samples from patients suspected of S. stercoralis infection were tested by the modified Baermann funnel technique, PCR, and the established fluorescent RAA assay. The sensitivity, specificity, concordance rate and their 95% confidence intervals (CI) of these three techniques were estimated, and agreement between methods was evaluated using the Kappa coefficient. Results Exo-4 was identified as the optimal primer set screened from the six primer sets, and the best amplification performance was achieved when the final concentrations of the forward and reverse primers were 0.44 μmol/L and a probe concentration was 0.20 μmol/L. The limit of detection of the fluorescent RAA assay was 100 fg/μL for genomic DNA of S. stercoralis and 1 × 100 copies/reaction for recombinant plasmids. Specific fluorescence signals were detected within 5 min, with no cross-reactivity observed with A. lumbricoides, A. duodenale, E. vermicularis, A. cantonensis, T. spiralis, C. sinensis, S. japonicum, or T. saginata. Among the 25 clinical stool samples from patients suspected of S. stercoralis infections, the modified Baermann funnel technique and fluorescent RAA assay detected 19 positives and 6 negatives, whereas PCR detected 18 positives and 7 negatives. The fluorescent RAA assay showed a sensitivity of 100.00% [95% CI: (82.35%, 100.00%)], specificity of 100.00% [95% CI: (54.07%, 100.00%)], concordance rate of 100.00% [95% CI: (86.28%, 100.00%)], and a Kappa coefficient of 1.00 [95% CI: (1.00, 1.00)] (P < 0.001) relative to the modified Baermann funnel technique, and a sensitivity of 100.00% [95% CI: (81.47%, 100.00%)], specificity of 85.71% [95% CI: (42.13%, 99.64%)], concordance rate of 96.00% [95% CI: (79.65%, 99.90%)], and a Kappa coefficient of 0.90 [95% CI: (0.70, 1.00)] (P < 0.001). Positive amplification products emitted green fluorescence under a portable blue-light device, enabling visual interpretation of results. Conclusions The fluorescent RAA assay established in this study is rapid, highly sensitive, and highly specific. It enables detection of S. stercoralis nucleic acid under isothermal conditions and allows visual interpretation of results, providing a novel tool for rapid clinical diagnosis and field screening of S. stercoralis infections.
4.Research progress of perfluorohexyloctane eyedrop in meibomian gland dysfunction-associated dry eye
Hongyue YU ; Bin SUN ; Yan LI ; Xiaodan LI ; Meng XIN
International Eye Science 2026;26(8):1354-1358
Dry eye disease(DED)is a multifactorial ocular surface disorder characterized by the loss of tear film homeostasis among which evaporative DED associated with meibomian gland dysfunction(MGD)accounts for up to 86%, and traditional drugs fail to effectively target the core pathological mechanism. As a new type of anhydrous and preservative-free eye drops approved by the FDA, perfluorohexyloctane has a unique amphiphilic structure, which can form an artificial lipid monolayer at the air-liquid interface of the tear film. It exerts its therapeutic effects by inhibiting tear evaporation, stabilizing the tear film, unclogging meibomian gland orifices, and promoting corneal oxygen supply. This drug can not only serve as a first-line treatment option for evaporative DED but also be combined with other drugs for personalized treatment. This review summarizes the mechanism of action, pharmacological properties, clinical efficacy, and safety of perfluorohexyloctane eye drops, and further elaborate on its application value in complex types of DED and patients with other concurrent ocular surface diseases, aiming to provide more evidence support for the precise treatment of DED.
5.Multimodal neuroimaging evaluation of dopaminergic function, cortical metabolism, and functional connectivity alterations in early-onset Parkinson′s disease
Yan CHANG ; Xiaodan XU ; Jiajin LIU ; Shuwei SUN ; Yungang LI ; Hengge XIE ; Chao WEI ; Yuanyan CAO ; Ruozhuo LIU ; Ruimin WANG
Chinese Journal of Radiology 2025;59(11):1260-1266
Objective:To evaluate alterations in dopaminergic neurons, cortical metabolism, and functional connectivity networks in patients with early-onset Parkinson′s disease (EOPD) using multimodal neuroimaging.Methods:In this prospective cross-sectional study, 26 patients with EOPD and 16 healthy controls (HC group) were recruited from the PLA General Hospital between April and November 2023. All participants underwent integrated 11C-β-CFT PET/MR, 18F-FDG PET/CT brain imaging and resting-state functional MRI. Clinical assessments were conducted using the Unified Parkinson′s Disease Rating Scale and Hoehn-Yahr staging. Cognitive status was evaluated using the Mini-Mental State Examination and Montreal Cognitive Assessment. Standardized uptake value ratios for both 11C-β-CFT and 18F-FDG PET images were calculated using cerebellar gray matter as the reference region. Voxel-wise two-sample t-tests were performed to identify regions with significant group differences in tracer uptake. Seed regions showing altered 11C-β-CFT or 18F-FDG uptake were used to compute seed-based functional connectivity (FC) with all other brain voxels, and group differences in FC were assessed. Correlations between imaging metrics and clinical scales were evaluated using Pearson or Spearman analyses as appropriate. Results:Compared with HC group, EOPD group showed significantly reduced 11C-β-CFT uptake in the bilateral putamen, globus pallidus, and left temporal pole ( P<0.05), and decreased 18F-FDG uptake in the right superior frontal gyrus and anterior cingulate cortex ( P<0.05). Relative to HC group, EOPD group exhibited markedly lower FC between the right putamen and the left gyrus rectus as well as the right parahippocampal gyrus; the right superior frontal gyrus and the left gyrus rectus; the anterior cingulate cortex and the olfactory area of the frontal lobe, the left gyrus rectus, and the right superior parietal gyrus; the left temporal pole and the left orbitofrontal cortex as well as the left olfactory area ( P<0.05). Correlation analyses revealed no statistically significant associations between altered FC values and clinical scale scores in the EOPD group. Conclusions:Patients with EOPD demonstrate impaired nigrostriatal dopaminergic function, regional cortical hypometabolism, and aberrant functional connectivity across multiple brain networks.
6.Construction of artificial intelligence models for multi-category lesion detection in small bowel capsule endoscopy based on various YOLO neural networks
Jian CHEN ; Ganhong WANG ; Jianjun DAI ; Kaijian XIA ; Xiaodan XU ; Ying SUN
Chinese Journal of Medical Physics 2025;42(5):693-700
Objective To construct YOLOv10 based artificial intelligence(AI)models for the automatic detection in small bowel capsule endoscopy(SBCE)images.Methods SBCE data from two centers was collected,including 23 115 images and 35 412 annotated labels covering 11 categories of small bowel lesions.The images were annotated using the LabelMe tool and converted into the YOLO format required for deep learning model development.The pre-trained YOLOv10 and YOLOv8 models were used for transfer learning training on the constructed dataset.Model performance was comprehensively evaluated using metrics such as precision,accuracy,sensitivity,specificity,false-positive rate,and detection speed.Finally,the models were deployed on local computers for real-time detection of SBCE images and videos.Results Six different versions of YOLO object detection models were developed,namely YOLOv8n,YOLOv8s,YOLOv8m,YOLOv10n,YOLOv10s,and YOLOv10m.On the validation set,YOLOv10s model achieved the best mAP50(0.795);although its inference latency was not the fastest(4.803 ms/img),it met the requirements for clinical application.On the test set,YOLOv10s performed well,with an accuracy of 92.69%,a sensitivity of 89.23%,and a false-positive rate of 4.78%.Especially,in category-specific inference,the highest sensitivity was for"bleeding"at 96.41%,while the lowest was for"narrowing"at 82.29%.Conclusion The model constructed based on YOLOv10 neural network can rapidly and accurately detect and classify various small bowel lesions,exhibiting significant clinical application potential.
7.Construction of artificial intelligence models for multi-category lesion detection in small bowel capsule endoscopy based on various YOLO neural networks
Jian CHEN ; Ganhong WANG ; Jianjun DAI ; Kaijian XIA ; Xiaodan XU ; Ying SUN
Chinese Journal of Medical Physics 2025;42(5):693-700
Objective To construct YOLOv10 based artificial intelligence(AI)models for the automatic detection in small bowel capsule endoscopy(SBCE)images.Methods SBCE data from two centers was collected,including 23 115 images and 35 412 annotated labels covering 11 categories of small bowel lesions.The images were annotated using the LabelMe tool and converted into the YOLO format required for deep learning model development.The pre-trained YOLOv10 and YOLOv8 models were used for transfer learning training on the constructed dataset.Model performance was comprehensively evaluated using metrics such as precision,accuracy,sensitivity,specificity,false-positive rate,and detection speed.Finally,the models were deployed on local computers for real-time detection of SBCE images and videos.Results Six different versions of YOLO object detection models were developed,namely YOLOv8n,YOLOv8s,YOLOv8m,YOLOv10n,YOLOv10s,and YOLOv10m.On the validation set,YOLOv10s model achieved the best mAP50(0.795);although its inference latency was not the fastest(4.803 ms/img),it met the requirements for clinical application.On the test set,YOLOv10s performed well,with an accuracy of 92.69%,a sensitivity of 89.23%,and a false-positive rate of 4.78%.Especially,in category-specific inference,the highest sensitivity was for"bleeding"at 96.41%,while the lowest was for"narrowing"at 82.29%.Conclusion The model constructed based on YOLOv10 neural network can rapidly and accurately detect and classify various small bowel lesions,exhibiting significant clinical application potential.
8.Separation,purification and immunomodulatory activity of polysaccharides from Polygonatum filipes
Yunyun SUN ; Ming ZHAO ; Shiyue QIN ; Sichun ZHENG ; Haoxiang ZHANG ; Xiaodan MA ; Xiaoliang LI ; Wei XU
Chinese Journal of Immunology 2025;41(1):182-188,194
Objective:To separate and purify the polysaccharides from Polygonatum filipes,characterize their primary structure and investigate the immunomodulatory effects on RAW264.7 macrophages.Methods:Crude polysaccharides from Polygonatum filipes were extracted by ultrasound assisted method,then Polygonatum filipes polysaccharides(CSPFPs)were obtained after elimination of the proteins with combined papain-Sevag method.The total sugar content was determined by phenol-sulfuric acid method.Structures of CSPFPs were analyzed by fourier transform infrared spectroscopy(FT-IR),high performance gel permeation chromatography(HPGPC)and high performance liquid chromatography(HPLC).Effects of CSPFPs on cell viability,pinocytic activity,TNF-α secretion,MAPK and NF-κB signaling pathways of RAW264.7 cells were explored by MTT,Neutral red,ELISA and Western blot,respectively.Results:Extraction rate of CSPFPs by ultrasound-assisted method was 41.61%,which contained total sugar content of 94.00%.CSPFPs with Mw of 3 125 Da was composed of arabinose(1.85%),galactose(6.14%),glucose(56.41%)and mannose(35.60%).The in vitro experiments showed that CSPFPs were non-cytotoxic and enhanced the pinocytic activity,TNF-α secretion and phosphorylation levels of p38,ERK,JNK,p65,IκB and IKK,indicating the activation of MAPK and NF-κB signaling pathways under the concentra-tion of 2.5~200 μg/ml.Conclusion:The ultrasound-assisted method can efficiently isolate CSPFPs with immunomodulatory activity,which provides basic data for the development and application of CSPFPs as an immunostimulant.
9.Correlation between levels of physical activity and carotid intima-media thickening in patients with type 2 diabetes mellitus with poor glycosylated hemoglobin control
Dan FANG ; Qian CUI ; Qingqing LOU ; Zhenzhen SUN ; Xiaodong CHEN ; Ping YAO ; Xiaodan YUAN
Chinese Journal of Diabetes 2025;33(2):90-97
Objective To explore the effects of physical activity(PA)on carotid intima-media thickness(CIMT)thickening in patients with type 2 diabetes mellitus(T2DM)with poor HbA1c control.Methods A total of 2505 T2DM inpatients with poor HbA1c control who visited the Endocrinology Department of the Integrated Traditional Chinese and Western Medicine Hospital Affiliated with Nanjing University of Traditional Chinese Medicine and Changzhou Second People's Hospital Affiliated with Nanjing Medical University from January 2019 to February 2022 were enrolled in this study.The patients were categorized into the mild-intensity PA(1~599 MET-min/w,n=795),moderate-intensity PA(600~1499 MET-min/w,n=1107)and high-intensity PA(≥1500 MET-min/w,n=603)based on the metabolic equivalence level(MET).Logistic regression was performed to analyze the relationship between PA and CIMT thickening.Statified analysis was used to investigate the effects of blood pressure(BP)and low-density lipoprotein cholesterol(LDL-C)target status on CIMT thickness in different PA groups.Results Restricted cubic spline plots showed a nonlinear relationship between PA levels and the risk of CIMT thickening(P<0.05).Logistic regression showed that with moderate-intensity PA as the control,while high-intensity PA was the influence factor of CIMT thickening(OR 1.581,95%CI 1.244~2.010,P<0.05).Statified analyses showed that under mild-intensity PA,using neither BP nor LDL-C on target as reference,achievement of either index and both were the influence factor of CIMT thickening.Using BP on target as reference,achievements of both indexes,achievements of neither of both indexes,and achievement of LDL-C only were the influence factor of CIMT thickening.Using LDL-C on target as reference,achievement of neither of them and achievement of BP only were the influence factor of CIMT thickening.Under high-intensity PA,achievement of both indexes was negatively associated with CIMT thickening.Conclusions Moderate-intensity PA is the recommended scheme to prevent CIMT thickening in T2DM patients whose HbA1c is not up to standard.Mild-intensity PA is not related to the risk of CIMT thickening,while high-intensity PA is positively related to the risk of CIMT thickening,and focusing on LDL-C compliance is particularly important to avoid CIMT thickening.
10.Progress in practice of infectious disease epidemiology in China
Weizhong YANG ; Luzhao FENG ; Zhongjie LI ; Yu LI ; Qiangru HUANG ; Xuancheng HU ; Zeni WU ; Xiaodan FAN ; Ting ZHANG ; Qing WANG ; Yanxia SUN ; Jianxing YU ; Enmin DING ; Mengmeng JIA
Chinese Journal of Epidemiology 2025;46(7):1276-1282
With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.

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