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| 1 | Large extracellular vesicles secreted by human iPSC-derived MSCs ameliorate tendinopathy via regulating macrophage heterogeneity显示文摘Tendinopathy is a common musculoskeletal disorder which results in chronic pain and reduced performance.The therapeutic effect of stem cell derived-small extracellular vesicles(sEVs)for tendinopathy has been validated in recent years.However,whether large extracellular vesicles(lEVs),another subset of extracellular vesicles,possesses the ability for the improvement of tendinopathy remains unknown.Here,we showed that lEVs secreted from iPSC-derived MSCs(iMSC-lEVs)significantly mitigated pain derived from tendinopathy in rats.Immuno-histochemical analysis showed that iMSC-lEVs regulated the heterogeneity of infiltrated macrophages and several inflammatory cytokines in rat tendon tissue.Meanwhile,in vitro experiments revealed that the M1 pro-inflammatory macrophages were repolarized towards M2 anti-inflammatory macrophages by iMSC-lEVs,and this effect was mediated by regulating p38 MAPK pathway.Moreover,liquid chromatography-tandem mass spectrometry analysis identified 2208 proteins encapsulated in iMSC-lEVs,including 134 new-found proteins beyond current Vesiclepedia database.By bioinformatics and Western blot analyses,we showed that DUSP2 and DUSP3,the negative regulator of p38 phosphorylation,were enriched in iMSC-lEVs and could be transported to macrophages.Further,the immunomodulatory effect of iMSC-lEVs on macrophages was validated in explant tendon tissue from tendinopathy patients.Taken together,our results demonstrate that iMSC-lEVs could reduce inflammation in tendinopathy by regulating macrophage heterogeneity,which is mediated via the p38 MAPK pathway by delivery of DUSP2 and DUSP3,and might be a promising candidate for tendinopathy therapy. | Teng Ye Zhengsheng Chen Jieyuan Zhang Lei Luo Renzhi Gao Liangzhi Gong Yuhang Du Zongping Xie Bizeng Zhao Qing Li Yang Wang | 2023 | Bioactive Materials2023，，3： | 2 |
| 2 | Pain reduction following vertebroplasty and kyphoplasty显示文摘 | Renbin Dong Liang Chen Tiansi Tang Yong Gu Zongping Luo Qin Shi Xuefeng Li Qingsheng Zhou Huilin Yang | 2013 | International Orthopaedics2013，，1： | 1 |
| 3 | Expansive Open-door Laminoplasty With Titanium Miniplate Versus Sutures显示文摘 | Chen Guangdong Luo Zongping Nalajala Badri Liu Tao Yang Huilin | 2012 | EN2012，，4： | 1 |
| 4 | Histological evaluation of bone biopsy results during PVP or PKP ofvertebral compression fractures显示文摘 | Lei Zhang Jigang Li Huilin Yang Zongping Luo Jun Zou | 2013 | Oncology Letters2013，，1： | 1 |
| 5 | In vitro regulation of single collagen fibril length by buffer compositions and temperature显示文摘 | LIU Mineyine YEH Minglong LUO Zongping | 2005 | Biomed Mater Eng2005，15，6： | 1 |
| 6 | Early detection of joint degeneration in the subtalar and talonavicular joints secondary to ankle instability in a mouse model显示文摘Background:Many patients with ankle sprain have secondary subtalar and talonavicular injuries,which have a great impact on their life and body.Purpose::This study aimed to investigate the biomechanical impact of ankle instability on the subtalar joint(STJ)and talonavicular joint(TNJ)using a mouse model to enhance the clinical understanding of early stage secondary joint degeneration.Methods:Twenty four 8-week old male C57BL/6 J mice were randomly allocated to three groups.Both the calcaneofibular ligament(CFL)and anterior talofibular ligament(ATFL)of the left ankle were cut off in the CFLþATFL group to simulate severe ankle instability while only the CFL was excised in the CFL group to mimic moderate ankle instability.No operation was done in SHAM group to simulate the normal ankle.Then histological analysis,atomic force microscopy(AFM)–based nanoindentation tests and inspection by scanning electron microscopy(SEM)were used to assess the degree of joint degeneration in the tibiotalar joint(TTJ),STJ and TNJ of three groups.Results:A significant increase of histological score for both CFL and CFLþATFL group was demonstrated in the TTJ,compared with the SHAM group.While in the STJ and TNJ,the histological score only increased for CFLþATFL group.AFM-based nanoindentation results demonstrated significant differences in elastic modulus between all groups in the TTJ,while for the STJ and TNJ,only the comparison between the CFLþATFL group and SHAM group was considered statistically significant.The SEM presented signs of cracking and disintegration within the subchondral bone(SCB)interface in the CFLþATFL group only.Conclusions:The findings indicate that severe ankle instability resulted in early degeneration of the STJ and TNJ in a mouse model,which may provide referential values for clinical practice. | Zhi Chen Ting Liang Junkun Li Chao Gao Fan He Zongping Luo Huilin Yang Hongtao Zhang Jia Yu | 2021 | Medicine in Novel Technology and Devices2021，，3： | 0 |
| 7 | TIGER:A Web Portal of Tumor Immunotherapy Gene Expression Resource显示文摘Immunotherapy is a promising cancer treatment method;however,only a few patients benefit from it.The development of new immunotherapy strategies and effective biomarkers of response and resistance is urgently needed.Recently,high-throughput bulk and single-cell gene expression profling technologies have generated valuable resources.However,these resources are not well organized and systematic analysis is difficult.Here,we present TIGER,a tumor immunotherapy gene expression resource,which contains bulk transcriptome data of 1508 tumor samples with clinical immunotherapy outcomes and 11,057 tumor/normal samples without clinical immunotherapy outcomes,as well as single-cell transcriptome data of 2,116,945 immune cells from 655 samples.TIGER provides many useful modules for analyzing collected and user-provided data.Using the resource in TIGER,we identified a tumor-enriched subset of CD4^(+)T cells.Patients with melanoma with a higher signature score of this subset have a significantly better response and survival under immunotherapy.We believe that TIGER will be helpful in understanding anti-tumor immunity mechanisms and discovering effective biomarkers. | Zhihang Chen Ziwei Luo Di Zhang Huiqin Li Xuefei Liu Kaiyu Zhu Hongwan Zhang Zongping Wang Penghui Zhou Jian Ren An Zhao Zhixiang Zuo | 2023 | Genomics, Proteomics & Bioinformatics2023，21，2： | 0 |
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