1.Analysis of Animal Models of Dry Age-related Macular Degeneration Based on Clinical Disease-syndrome Characteristics of Traditional Chinese and Western Medicine
Xiaoyu LI ; Lina LIANG ; Yun GAO ; Jiahao LI ; Jianying YANG ; Xiaoshan ZHANG ; Honghao BI ; Menglu MIAO ; Huiyi GUO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):191-197
ObjectiveAge-related macular degeneration (AMD) is one of the leading causes of low vision and blindness in people over 50 years old, and dry AMD (dAMD) is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine, this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models, and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database, and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine, and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present, the animal models of dAMD are mainly established targeting complement factors, chemokines, oxidative damage, lipid/glucose metabolism, and natural strains. Most of the models can simulate the major pathological changes of dAMD, showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However, the evaluation of traditional Chinese medicine (TCM) syndromes, especially the evaluation of secondary syndromes, is missing, and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards, which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.
2.Analysis of Animal Models of Dry Age-related Macular Degeneration Based on Clinical Disease-syndrome Characteristics of Traditional Chinese and Western Medicine
Xiaoyu LI ; Lina LIANG ; Yun GAO ; Jiahao LI ; Jianying YANG ; Xiaoshan ZHANG ; Honghao BI ; Menglu MIAO ; Huiyi GUO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):191-197
ObjectiveAge-related macular degeneration (AMD) is one of the leading causes of low vision and blindness in people over 50 years old, and dry AMD (dAMD) is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine, this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models, and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database, and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine, and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present, the animal models of dAMD are mainly established targeting complement factors, chemokines, oxidative damage, lipid/glucose metabolism, and natural strains. Most of the models can simulate the major pathological changes of dAMD, showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However, the evaluation of traditional Chinese medicine (TCM) syndromes, especially the evaluation of secondary syndromes, is missing, and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards, which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.
3.Ferrum@albumin assembled nanoclusters inhibit NF-κB signaling pathway for NIR enhanced acute lung injury immunotherapy.
Xiaoxuan GUAN ; Binbin ZOU ; Weiqian JIN ; Yan LIU ; Yongfeng LAN ; Jing QIAN ; Juan LUO ; Yanjun LEI ; Xuzhi LIANG ; Shiyu ZHANG ; Yuting XIAO ; Yan LONG ; Chen QIAN ; Chaoyu HUANG ; Weili TIAN ; Jiahao HUANG ; Yongrong LAI ; Ming GAO ; Lin LIAO
Acta Pharmaceutica Sinica B 2025;15(11):5891-5907
Acute lung injury (ALI) has been a kind of acute and severe disease that is mainly characterized by systemic uncontrolled inflammatory response to the production of huge amounts of reactive oxygen species (ROS) in the lung tissue. Given the critical role of ROS in ALI, a Fe3O4 loaded bovine serum albumin (BSA) nanocluster (BF) was developed to act as a nanomedicine for the treatment of ALI. Combining with NIR irradiation, it exhibited excellent ROS scavenging capacity. Significantly, it also displayed the excellent antioxidant and anti-inflammatory functions for lipopolysaccharides (LPS) induced macrophages (RAW264.7), and Sprague Dawley rats via lowering intracellular ROS levels, reducing inflammatory factors expression levels, inducing macrophage M2 polarization, inhibiting NF-κB signaling pathway, increasing CD4+/CD8+ T cell ratios, as well as upregulating HSP70 and CD31 expression levels to reprogram redox homeostasis, reduce systemic inflammation, activate immunoregulation, and accelerate lung tissue repair, finally achieving the synergistic enhancement of ALI immunotherapy. It finally provides an effective therapeutic strategy of BF + NIR for the management of inflammation related diseases.
4.Progress in research on the prevention and treatment of diabetic retinopathy by the intervention of the nuclear red blood cell related factor 2 signaling pathway with effective components of traditional Chinese medicine
Yixin CHEN ; Chen LI ; Bin SONG ; Liping ZUO ; Jianjun LIU ; Lumin LIANG ; Ruixiong NAN ; Jiahao WANG ; Libin PAN ; Jingrong WANG
Recent Advances in Ophthalmology 2025;45(8):667-672
Diabetic retinopathy(DR)is a kind of microvascular disease caused by the long-term influence of diabetes mellitus(DM),and it is one of the main cause of global visual impairment and blindness.Its typical characteristics include microaneurysms,hard exudates,macular edema(DME)and neovascularization.Its pathogenesis is diverse,and the root cause is oxidative stress and advanced glycosylation end products.The nuclear red blood cell related factor 2(Nrf2)signa-ling pathway plays an important role in preventing various diseases.As one of the characteristics of DM,hyperglycemia will activate the generation of reactive oxygen species(ROS)in mitochondria.These oxidative stress factors activate the nucle-ar transcription factor κB pathway,becoming the main inducement of various complications of DM.This pathway will in-duce increased transcription of proinflammatory cytokines,including tumor necrosis factor-alpha,transforming growth fac-tor-beta and interleukin-1.The active ingredients of traditional Chinese medicine have significant antioxidant,anti-inflam-matory,anti-apoptotic and angiogenesis-promoting effects,and can block the progression of DR through various mecha-nisms.In this article,the research status of traditional Chinese medicine targeting the Nrf2 signaling pathway in the preven-tion and treatment of DR is reviewed to guide clinical and scientific research.
5.Advancements and applications in radiopharmaceutical therapy.
Shiya WANG ; Mingyi CAO ; Yifei CHEN ; Jingjing LIN ; Jiahao LI ; Xinyu WU ; Zhiyue DAI ; Yuhan PAN ; Xiao LIU ; Xian LIU ; Liang-Ting LIN ; Jianbing WU ; Ji LIU ; Qifeng ZHONG ; Zhenwei YUAN
Chinese Journal of Natural Medicines (English Ed.) 2025;23(6):641-657
Radiopharmaceuticals operate by combining radionuclides with carriers. The radiation energy emitted by radionuclides is utilized to selectively irradiate diseased tissues while minimizing damage to healthy tissues. In comparison to external beam radiation therapy, radionuclide drugs demonstrate research potential due to their biological targeting capabilities and reduced normal tissue toxicity. This article reviews the applications and research progress of radiopharmaceuticals in cancer treatment. Several key radionuclides are examined, including 223Ra, 90Y, Lutetium-177 (177Lu), 212Pb, and Actinium-225 (225Ac). It also explores the current development trends of radiopharmaceuticals, encompassing the introduction of novel radionuclides, advancements in imaging technologies, integrated diagnosis and treatment approaches, and equipment-medication combinations. We review the progress in the development of new treatments, such as neutron capture therapy, proton therapy, and heavy ion therapy. Furthermore, we examine the challenges and breakthroughs associated with the clinical translation of radiopharmaceuticals and provide recommendations for the research and development of novel radionuclide drugs.
Humans
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Radiopharmaceuticals/therapeutic use*
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Neoplasms/radiotherapy*
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Radioisotopes/therapeutic use*
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Animals
6.Benign prostatic hyperplasia burden comparison between China and the United States based on the global burden of disease study 2021
Dingwen LIU ; Cheng LI ; Youyou LI ; Liang ZHOU ; Jiaren LI ; Jiahao LIU ; Qing ZHOU ; Long WANG
Chinese Journal of Urology 2025;46(9):691-697
Objective:To compare the burden of benign prostatic hyperplasia(BPH)between China and the United States from 1990 to 2021.Methods:The prevalence,incidence,years lived with disability(YLD),and their age-standardized rates for BPH in China and the United States from 1990 to 2021 were obtained from the Global Burden of Disease Study 2021(GBD 2021). The average annual percentage change(AAPC)of the age-standardized incidence rate(ASIR)and the age-standardized YLD rate(ASYR)was calculated using Joinpoint regression analysis. In addition,the YLD burden of BPH,prostate cancer,kidney cancer,bladder cancer,and three other urological diseases were compared between the two countries.Results:From 1990 to 2021,the number of BPH cases in China increased from 1.460 4 million to 3.244 5 million,the number of prevalent cases rose from 9.940 5 million to 23.111 2 million,and YLDs grew from 0.2 million person-years to 0.460 2 million person-years,with AAPCs of 2.63%,2.78%,and 2.75%,respectively. In 2021,the numbers of incident cases,prevalent cases,and YLDs were 0.577 9 million,4.930 3 million,and 0.095 9 million person-years in the United States,and 13.787 6 million,112.502 million,and 2.235 7 million person-years globally. China’s ASIR decreased from 363.07/100 000 to 299.14/100 000(AAPC -0.60%),and ASYR from 57.33/100 000 to 45.84/100 000(AAPC -0.70%),both of which were higher than those in the United States but lower than the global level. Age-specific analyses showed declining incidence and YLD rates across all age groups in China,while certain age groups in the United States demonstrated increasing trends. From 1990 to 2021,the proportion of YLDs attributable to BPH among seven urological diseases in China rose from 61.4% to 69.2%. In 2021,YLDs due to prostate cancer accounted for the highest proportion among seven urinary system diseases in the United States,reaching 54.5%. Projections indicate that although ASIR and ASYR in China will decline from 2022 to 2040,the absolute numbers of incident cases and YLDs are projected to continue to rise,reaching 4.97 million and 0.78 million,respectively,by 2040.Conclusions:Between 1990 and 2021,the number of incidence cases,prevalence cases,and YLDs of BPH in China increased markedly,while ASIR and ASYR declined. The disease burden of BPH remains substantial,with a higher proportion of YLDs among urological diseases compared with the United States. By 2040,the number of BPH cases and YLDs in China is projected to further increase,underscoring the need for greater public health attention.
7.Clinical characteristics and outcomes of elderly patients with stage Ⅰ diffuse large B-cell lymphoma: a study by the Jiangsu Cooperative Lymphoma Group (JCLG)
Yi XIA ; Jing HE ; Weiying GU ; Tao JIA ; Tingxun LU ; Yongle LI ; Jiahao ZHOU ; Bingzong LI ; Haiying HUA ; Ping LIU ; Yuqing MIAO ; Yuexin CHENG ; Xiaoyan XIE ; Yunping ZHANG ; Wenzhong WU ; Zhuxia JIA ; Xuzhang LU ; Chunling WANG ; Liang YU ; Min XU ; Jinning SHI ; Weifeng CHEN ; Wanchuan ZHUANG ; Zhen QIAN ; Jun QIAN ; Haiwen NI ; Yifei CHEN ; Qiudan SHEN ; Jianyong LI ; Wenyu SHI
Chinese Journal of Internal Medicine 2025;64(6):504-513
Objective:To summarize the clinical characteristics of elderly patients with stage Ⅰ diffuse large B-cell lymphoma (DLBCL) and analyze the factors associated with prognosis.Methods:A case series study was conducted by retrospectively collecting clinical data from patients aged over 60 years with newly diagnosed stage Ⅰ DLBCL across 20 medical centers in Jiangsu Province, China, between June 2010 and April 2023. The involved site, classification and treatment plan were summarized. The primary endpoints were progression-free survival (PFS) and overall survival (OS). Statistical analyses were performed using the Kaplan-Meier method, and Cox regression model.Results:The study included 255 patients with a median age of 69 years, of whom 130 (51.0%) were male, 66 (25.9%) were aged ≥75 years and 26 (10.1%) had a high Charlson Comorbidity Index (CCI) score of ≥2. Extranodal involvement was observed in 163 (63.9%) patients, with the stomach (37.4%, 61/163), intestine (19.0%, 31/163), testes (11.0%, 18/163), and breast (7.4%, 12/163) being the most frequently affected sites. The non-germinal center B-cell (non-GCB) subtype was prevalent in 63.7% of patients (142/223), with no significant difference between the nodal and extranodal groups ( P=0.681). Furthermore, 73.9% (184/249) and 11.7% (29/249) of patients received the R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone) and R-miniCHOP regimen, respectively. The overall 3-year PFS rate was 81.5%, and the 3-year OS rate was 85.6%. Patients aged ≥75 years ( HR=2.910, 95% CI 1.565-5.408, P=0.001) and/or with a CCI score ≥2 ( HR=2.324, 95% CI 1.141-4.732, P=0.020) had a significantly poorer PFS. Incorporating age ≥75 years and CCI score ≥2 into the stage-modified international prognostic index (sm-IPI) can better stratify the prognosis of elderly patients with stage Ⅰ DLBCL. The 3-year PFS rate was 48.7% in the high-risk group versus 85.7% in the low-risk group ( P<0.001). Conclusions:Our findings show that the elderly patients with stage Ⅰ DLBCL were predominantly characterized by extranodal involvement (particularly in the stomach and intestinal tract) and non-GCB subtype. Age ≥75 years and CCI ≥2 were identified as independent prognostic factors. The newly established sm-IPI-75-CCI incorporating these factors demonstrated superior prognostic discrimination compared to conventional risk assessment systems.
8.Application of machine learning in prediction of rehabilitation effect after cochlear implantation
Kaiying LAI ; Jiahao LIU ; Xiaoyi ZUO ; Maojin LIANG ; Suiping WANG
Journal of Audiology and Speech Pathology 2025;33(2):182-187
Cochlear implantation is the most effective method to restore hearing in patients with severe and profound hearing impairment.There are individual differences in rehabilitation after cochlear implantation.In order to better understand the underlying factors of rehabilitation,machine learning has been gradually applied to the reha-bilitation prediction of cochlear implant patients.Since related literature is still in its infancy,many problems still remain unresolved,such as insufficient sample size and lack of diversification of data features.We suggest that fu-ture research may expand the sample size,optimize machine learning models,and fully explore the predictive factors affecting the rehabilitation of cochlear implantation,and make machine learning a better tool in the area of cochlear implantation.
9.Application of brain-computer interface technology in stroke rehabilitation from 2021 to 2025:a bibliometric analysis
Yi JIANG ; Kang LIANG ; Jiahao CHU ; Dan YANG ; Fei GAO ; Hanzhi LI ; Xiaoxia DU
Chinese Journal of Rehabilitation Theory and Practice 2025;31(11):1279-1289
Objective To analyze the application trends and research hotspots of brain-computer interface(BCI)technology in stroke rehabilitation over the past five years.Methods Relevant literatures on the use of BCI in stroke rehabilitation published between January,2021 and August,2025 were retrieved from the Web of Science Core Collection database.CiteSpace 6.4.R1 was used for visualiza-tion analysis.Results A total of 458 papers were included.The annual number of publications remained at a high level.China was the leading country in publication output,with Fudan University and Aalborg University as the top institutions.The most prolific author was Mads R.Jochumsen,while G.Pfurtscheller had the highest citation frequency.The key-words and burst terms with the highest frequency in this field were brain-computer interface,motor imagery,up-per limb and deep learning.Conclusion Over the past five years,research on BCI in stroke rehabilitation has maintained a high publication volume.The research hotspots focus on innovations in BCI algorithm technology and multidimensional validation of neu-ral mechanisms and rehabilitation efficacy.
10.Application of machine learning in prediction of rehabilitation effect after cochlear implantation
Kaiying LAI ; Jiahao LIU ; Xiaoyi ZUO ; Maojin LIANG ; Suiping WANG
Journal of Audiology and Speech Pathology 2025;33(2):182-187
Cochlear implantation is the most effective method to restore hearing in patients with severe and profound hearing impairment.There are individual differences in rehabilitation after cochlear implantation.In order to better understand the underlying factors of rehabilitation,machine learning has been gradually applied to the reha-bilitation prediction of cochlear implant patients.Since related literature is still in its infancy,many problems still remain unresolved,such as insufficient sample size and lack of diversification of data features.We suggest that fu-ture research may expand the sample size,optimize machine learning models,and fully explore the predictive factors affecting the rehabilitation of cochlear implantation,and make machine learning a better tool in the area of cochlear implantation.

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