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| 1 | Signaling pathways in rheumatoid arthritis:implications for targeted therapy显示文摘Rheumatoid arthritis(RA)is an incurable systemic autoimmune disease.Disease progression leads to joint deformity and associated loss of function,which significantly impacts the quality of life for sufferers and adds to losses in the labor force.In the past few decades,RA has attracted increased attention from researchers,the abnormal signaling pathways in RA are a very important research field in the diagnosis and treatment of RA,which provides important evidence for understanding this complex disease and developing novel RA-linked intervention targets.The current review intends to provide a comprehensive overview of RA,including a general introduction to the disease,historical events,epidemiology,risk factors,and pathological process,highlight the primary research progress of the disease and various signaling pathways and molecular mechanisms,including genetic factors,epigenetic factors,summarize the most recent developments in identifying novel signaling pathways in RA and new inhibitors for treating RA.therapeutic interventions including approved drugs,clinical drugs,pre-clinical drugs,and cutting-edge therapeutic technologies.These developments will hopefully drive progress in new strategically targeted therapies and hope to provide novel ideas for RA treatment options in the future. | Qian Ding Wei Hu Ran Wang Qinyan Yang Menglin Zhu Meng Li Jianghong Cai Peter Rose Jianchun Mao Yi Zhun Zhu | 2023 | Signal Transduction and Targeted Therapy2023，8，3： | 2 |
| 2 | Efficient low-temperature soot combustion by bimetallic Ag–Cu/SBA-15 catalysts显示文摘In this study, the effects of copper(Cu) additive on the catalytic performance of Ag/SBA-15 in complete soot combustion were investigated. The soot combustion performance of bimetallic Ag–Cu/SBA-15 catalysts was higher than that of monometallic Ag and Cu catalysts. The optimum catalytic performance was acquired with the 5 Ag_1-Cu_(0.1)/SBA-15 catalyst, on which the soot combustion starts at T_(ig)= 225°C with a T_(50)= 285°C. The temperature for 50% of soot combustion was lower than that of conventional Ag-based catalysts to more than 50°C(Aneggi et al., 2009). Physicochemical characterizations of the catalysts indicated that addition of Cu into Ag could form smaller bimetallic Ag–Cu nanolloy particles, downsizing the mean particle size from 3.7 nm in monometallic catalyst to 2.6 nm in bimetallic Ag–Cu catalyst. Further experiments revealed that Ag and Cu species elicited synergistic effects, subsequently increasing the content of surface active oxygen species. As a result, the structure modifications of Ag by the addition of Cu strongly intensified the catalytic performance. | Zhaojun Wen Xinping Duan Menglin Hu Yanning Cao Linmin Ye Lilong Jiang Youzhu Yuan | 2018 | Journal of Environmental Sciences2018，30，2： | 1 |
| 3 | Solvothermal synthesis, crystal structure and photolumines- cent property of a novel 3D cadmium(11) coordination polymer containing Cds (3-OH) z (ta3-OAc)2 G+ cores显示文摘 | WANG Jijiang YANG Menglin HU Huaiming | 2007 | In- org Chem Commun2007，10，3： | 1 |
| 4 | Blockage of EGFR/AKT and mevalonate pathways synergize the antitumor effect of temozolomide by reprogramming energy metabolism in glioblastoma显示文摘Background Metabolism reprogramming plays a vital role in glioblastoma(GBM)progression and recurrence by producing enough energy for highly proliferating tumor cells.In addition,metabolic reprogramming is crucial for tumor growth and immune-escape mechanisms.Epidermal growth factor receptor(EGFR)amplification and EGFR-vIII mutation are often detected in GBM cells,contributing to the malignant behavior.This study aimed to investigate the functional role of the EGFR pathway on fatty acid metabolism remodeling and energy generation.Methods Clinical GBM specimens were selected for single-cell RNA sequencing and untargeted metabolomics analysis.A metabolism-associated RTK-fatty acid-gene signature was constructed and verified.MK-2206 and MK-803 were utilized to block the RTK pathway and mevalonate pathway induced abnormal metabolism.Energy metabolism in GBM with activated EGFR pathway was monitored.The antitumor effect of Osimertinib and Atorvastatin assisted by temozolomide(TMZ)was analyzed by an intracranial tumor model in vivo.Results GBM with high EGFR expression had characteristics of lipid remodeling and maintaining high cholesterol levels,supported by the single-cell RNA sequencing and metabolomics of clinical GBM samples.Inhibition of the EGFR/AKT and mevalonate pathways could remodel energy metabolism by repressing the tricarboxylic acid cycle and modulating ATP production.Mechanistically,the EGFR/AKT pathway upregulated the expressions of acyl-CoA synthetase short-chain family member 3(ACSS3),acyl-CoA synthetase long-chain family member 3(ACSL3),and long-chain fatty acid elongation-related gene ELOVL fatty acid elongase 2(ELOVL2)in an NF-κB-dependent manner.Moreover,inhibition of the mevalonate pathway reduced the EGFR level on the cell membranes,thereby affecting the signal transduction of the EGFR/AKT pathway.Therefore,targeting the EGFR/AKT and mevalonate pathways enhanced the antitumor effect of TMZ in GBM cells and animal models.Conclusions Our findings not only uncovered the mechanism of metabolic reprogramming in EGFR-activated GBM but also provided a combinatorial therapeutic strategy for clinical GBM management. | Xiaoteng Cui Jixing Zhao Guanzhang Li Chao Yang Shixue Yang Qi Zhan Junhu Zhou Yunfei Wang Menglin Xiao Biao Hong Kaikai Yi Fei Tong Yanli Tan Hu Wang Qixue Wang Tao Jiang Chuan Fang Chunsheng Kang | 2023 | Cancer Communications2023，43，12： | 0 |
| 5 | Causal inference with marginal structural modeling for longitudinal data in laparoscopic surgery: A technical note显示文摘Causal inference prevails in the field of laparoscopic surgery.Once the causality between an intervention and outcome is established,the intervention can be applied to a target population to improve clinical outcomes.In many clinical scenarios,interventions are applied longitudinally in response to patients’conditions.Such longitudinal data comprise static variables,such as age,gender,and comorbidities;and dynamic variables,such as the treatment regime,laboratory variables,and vital signs.Some dynamic variables can act as both the confounder and mediator for the effect of an intervention on the outcome;in such cases,simple adjustment with a conventional regression model will bias the effect sizes.To address this,numerous statistical methods are being developed for causal inference;these include,but are not limited to,the structural marginal Cox regression model,dynamic treatment regime,and Cox regression model with time-varying covariates.This technical note provides a gentle introduction to such models and illustrates their use with an example in the field of laparoscopic surgery. | Zhongheng Zhang Peng Jin Menglin Feng Jie Yang Jiajie Huang Lin Chen Ping Xu Jian Sun Caibao Hu Yucai Hong | 2022 | Laparoscopic, Endoscopic and Robotic Surgery2022，5，4： | 0 |
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