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Yuan D, Chen W, Jin S, Li W, Liu W, Liu L, Wu Y, Zhang Y, He X, Jiang J, Sun H, Liu X, Liu J. Co-expression of immune checkpoints in glioblastoma revealed by single-nucleus RNA sequencing and spatial transcriptomics. Comput Struct Biotechnol J 2024; 23:1534-1546. [PMID: 38633388 PMCID: PMC11021796 DOI: 10.1016/j.csbj.2024.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 04/06/2024] [Accepted: 04/09/2024] [Indexed: 04/19/2024] Open
Abstract
Glioblastoma (GBM) is one of the most malignant tumors of the central nervous system. The pattern of immune checkpoint expression in GBM remains largely unknown. We performed snRNA-Seq and spatial transcriptomic (ST) analyses on untreated GBM samples. 8 major cell types were found in both tumor and adjacent normal tissues, with variations in infiltration grade. Neoplastic cells_6 was identified in malignant cells with high expression of invasion and proliferator-related genes, and analyzed its interactions with microglia, MDM cells and T cells. Significant alterations in ligand-receptor interactions were observed, particularly between Neoplastic cells_6 and microglia, and found prominent expression of VISTA/VSIG3, suggesting a potential mechanism for evading immune system attacks. High expression of TIM-3, VISTA, PSGL-1 and VSIG-3 with similar expression patterns in GBM, may have potential as therapeutic targets. The prognostic value of VISTA expression was cross-validated in 180 glioma patients, and it was observed that patients with high VISTA expression had a poorer prognosis. In addition, multimodal cross analysis integrated SnRNA-seq and ST, revealing complex intracellular communication and mapping the GBM tumor microenvironment. This study reveals novel molecular characteristics of GBM, co-expression of immune checkpoints, and potential therapeutic targets, contributing to improving the understanding and treatment of GBM.
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Affiliation(s)
- Dingyi Yuan
- New Drug Screening and Pharmacodynamics Evaluation Center, China Pharmaceutical University, Nanjing, China
| | - Wenting Chen
- New Drug Screening and Pharmacodynamics Evaluation Center, China Pharmaceutical University, Nanjing, China
| | - Shasha Jin
- New Drug Screening and Pharmacodynamics Evaluation Center, China Pharmaceutical University, Nanjing, China
| | - Wei Li
- Department of Neurosurgery, the Affiliated Drum Tower Hospital, School of Medicine, Nanjing University, Nanjing, China
| | - Wanmei Liu
- New Drug Screening and Pharmacodynamics Evaluation Center, China Pharmaceutical University, Nanjing, China
| | - Liu Liu
- Jiangsu Key Laboratory of Drug Discovery for Metabolic Disease, China Pharmaceutical University, Nanjing, China
| | - Yinhao Wu
- New Drug Screening and Pharmacodynamics Evaluation Center, China Pharmaceutical University, Nanjing, China
| | - Yuxin Zhang
- New Drug Screening and Pharmacodynamics Evaluation Center, China Pharmaceutical University, Nanjing, China
| | - Xiaoyu He
- New Drug Screening and Pharmacodynamics Evaluation Center, China Pharmaceutical University, Nanjing, China
| | - Jingwei Jiang
- New Drug Screening and Pharmacodynamics Evaluation Center, China Pharmaceutical University, Nanjing, China
| | - Hongbin Sun
- Jiangsu Key Laboratory of Drug Discovery for Metabolic Disease, China Pharmaceutical University, Nanjing, China
| | - Xiangyu Liu
- Department of Neurosurgery, the Affiliated Drum Tower Hospital, School of Medicine, Nanjing University, Nanjing, China
| | - Jun Liu
- New Drug Screening and Pharmacodynamics Evaluation Center, China Pharmaceutical University, Nanjing, China
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2
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Mi R, Wang X, Dong Y, Li S, Zhao Z, Guan X, Jiang J, Gao S, Fu Z, Zhou Z. Sustainable treatment of aquaculture water employing fungi-microalgae consortium: Nutrients removal enhancement, bacterial communities optimization, emerging contaminants elimination, and mechanism analysis. Sci Total Environ 2024; 929:172600. [PMID: 38653416 DOI: 10.1016/j.scitotenv.2024.172600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 04/25/2024]
Abstract
Fungi-microalgae consortium (FMC) has emerged as a promising system for advanced wastewater treatment due to its high biomass yield and environmental sustainability. This study aimed to investigate the nutrients removal, bacterial community shift, emerging contaminants elimination, and treatment mechanism of a FMC composed of Cordyceps militaris and Navicula seminulum for aquaculture pond water treatment. The fungi and microalgae were cultured and employed either alone or in combination to evaluate the treatment performance. The results demonstrated that the FMC could improve water quality more significantly by reducing nutrient pollutants and optimizing the bacterial community structures. Furthermore, it exhibited stronger positive correlation between the enrichment of functional bacteria for water quality improvement and pollutants removal performance than the single-species treatments. Moreover, the FMC outperformed other groups in eliminating emerging contaminants such as heavy metals, antibiotics, and pathogenic Vibrios. Superiorly, the FMC also showed excellent symbiotic interactions and cooperative mechanisms for pollutants removal. The results collectively corroborated the feasibility and sustainability of using C. militaris and N. seminulum for treating aquaculture water, and the FMC would produce more mutualistic benefits and synergistic effects than single-species treatments.
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Affiliation(s)
- Rui Mi
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture And Rural Affairs, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Xuda Wang
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture And Rural Affairs, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Ying Dong
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture And Rural Affairs, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Shilei Li
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture And Rural Affairs, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Zelong Zhao
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture And Rural Affairs, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Xiaoyan Guan
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture And Rural Affairs, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Jingwei Jiang
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture And Rural Affairs, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Shan Gao
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture And Rural Affairs, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Zhiyu Fu
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture And Rural Affairs, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Zunchun Zhou
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture And Rural Affairs, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China.
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Wang Z, Xue F, Sui X, Han W, Song W, Jiang J. Personalised follow-up and management schema for patients with screen-detected pulmonary nodules: A dynamic modelling study. Pulmonology 2024:S2531-0437(24)00040-0. [PMID: 38614860 DOI: 10.1016/j.pulmoe.2024.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Selecting the time target for follow-up testing in lung cancer screening is challenging. We aim to devise dynamic, personalized lung cancer screening schema for patients with pulmonary nodules detected through low-dose computed tomography. METHODS We developed and validated dynamic models using data of pulmonary nodule patients (aged 55-74 years) from the National Lung Screening Trial. We predicted patient-specific risk profiles at baseline (R0) and updated the risk evaluation results in repeated screening rounds (R1 and R2). We used risk cutoffs to optimize time-dependent sensitivity at an early decision point (3 months) and time-dependent specificity at a late decision point (1 year). RESULTS In validation, area under receiver operating characteristic curve for predicting 12-month lung cancer onset was 0.867 (95 % confidence interval: 0.827-0.894) and 0.807 (0.765-0.948) at R0 and R1-R2, respectively. The personalized schema, compared with National Comprehensive Cancer Network (NCCN) guideline and Lung-RADS, yielded lower rates of delayed diagnosis (1.7% vs. 1.7% vs. 6.9 %) and over-testing (4.9% vs. 5.6% vs. 5.6 %) at R0, and lower rates of delayed diagnosis (0.0% vs. 18.2% vs. 18.2 %) and over-testing (2.6% vs. 8.3% vs. 7.3 %) at R2. Earlier test recommendation among cancer patients was more frequent using the personalized schema (vs. NCCN: 29.8% vs. 20.9 %, p = 0.0065; vs. Lung-RADS: 33.2% vs. 22.8 %, p = 0.0025), especially for women, patients aged ≥65 years, and part-solid or non-solid nodules. CONCLUSIONS The personalized schema is easy-to-implement and more accurate compared with rule-based protocols. The results highlight value of personalized approaches in realizing efficient nodule management.
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Affiliation(s)
- Z Wang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College. No. 5 Dongdansantiao Street, Dongcheng District, Beijing, China; Peking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases. No. 11 Xizhimen South Street, Beijing, China
| | - F Xue
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College. No. 5 Dongdansantiao Street, Dongcheng District, Beijing, China
| | - X Sui
- Department of Radiology, Peking Union Medical College Hospital. No.1 Shuaifuyuan Street, Dongcheng District, Beijing, China
| | - W Han
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College. No. 5 Dongdansantiao Street, Dongcheng District, Beijing, China
| | - W Song
- Department of Radiology, Peking Union Medical College Hospital. No.1 Shuaifuyuan Street, Dongcheng District, Beijing, China
| | - J Jiang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College. No. 5 Dongdansantiao Street, Dongcheng District, Beijing, China.
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Tian S, Liu T, Jiang J, Zhao X, Fan Y, Zhang W, Ma W, Guo T, Wang W, Liu Y. Salvia miltiorrhiza ameliorates endometritis in dairy cows by relieving inflammation, energy deficiency and blood stasis. Front Pharmacol 2024; 15:1349139. [PMID: 38633614 PMCID: PMC11021767 DOI: 10.3389/fphar.2024.1349139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 03/19/2024] [Indexed: 04/19/2024] Open
Abstract
Introduction: According to traditional Chinese veterinary medicine, endometritis is caused by a combination of Qi deficiency, blood stasis, and external evil invasion. Salvia miltiorrhiza is a traditional Chinese medicine that counteracts blood stasis and has additional demonstrated effects in boosting energy and restraining inflammation. Salvia miltiorrhiza has been employed in many traditional Chinese prescriptions that have proven effective in healing clinical dairy cow endometritis. Methods: the in vivo effect of Salvia miltiorrhiza in treating endometritis was evaluated in dairy cows. In addition, bovine endometrial epithelium cell inflammation and rat blood stasis models were employed to demonstrate the crosstalk between energy, blood circulation and inflammation. Network analysis, western blotting, qRT-PCR and ELISA were performed to investigate the molecular mechanism of Salvia miltiorrhiza in endometritis treatment. Results: The results demonstrate that treatment with Salvia miltiorrhiza relieves uterine inflammation, increases blood ATP concentrations, and prolongs blood clotting times. Four of the six Salvia miltiorrhiza main components (SMMCs) (tanshinone IIA, cryptotanshinone, salvianolic acid A and salvianolic acid B) were effective in reversing decreased ATP and increased IL-1β, IL-6, and IL-8 levels in an in vitro endometritis model, indicating their abilities to ameliorate the negative energy balance and external evil invasion effects of endometritis. Furthermore, in a blood stasis rat model, inflammatory responses were induced in the absence of external infection; and all six SMMCs inhibited thrombin-induced platelet aggregation. Network analysis of SMMC targets predicted that Salvia miltiorrhiza may mediate anti-inflammation via the Toll-like receptor signaling pathway; anti-aggregation via the Platelet activation pathway; and energy balance via the Thermogenesis and AMPK signaling pathways. Multiple molecular targets within these pathways were verified to be inhibited by SMMCs, including P38/ERK-AP1, a key molecular signal that may mediate the crosstalk between inflammation, energy deficiency and blood stasis. Conclusion: These results provide mechanistic understanding of the therapeutic effect of Salvia miltiorrhiza for endometritis achieved through Qi deficiency, blood stasis, and external evil invasion.
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Affiliation(s)
- Shiyang Tian
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Institute of Traditional Chinese Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Tianyi Liu
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Jingwei Jiang
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Institute of Traditional Chinese Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Xiting Zhao
- Department of Women HealthCare, Changchun Lvyuan Hospital of Traditional Chinese Medicine, Changchun, China
| | - Yunpeng Fan
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Institute of Traditional Chinese Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Weimin Zhang
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Institute of Traditional Chinese Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Wuren Ma
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Institute of Traditional Chinese Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Tingting Guo
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Institute of Traditional Chinese Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Weiling Wang
- College of Chemistry and Pharmacy, Northwest A&F University, Yangling, China
| | - Yingqiu Liu
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
- Institute of Traditional Chinese Veterinary Medicine, Northwest A&F University, Yangling, China
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5
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Zhan H, Ye M, Jiang J, Gao Y, Zheng C, Duan S. Structural performance of detachable precast concrete column-column joint. Heliyon 2024; 10:e27308. [PMID: 38495148 PMCID: PMC10943345 DOI: 10.1016/j.heliyon.2024.e27308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 02/22/2024] [Accepted: 02/27/2024] [Indexed: 03/19/2024] Open
Abstract
A novel type of detachable precast concrete column-column joint (DPC) is proposed in this study to solve the problems in current column-column dry connections including complex load path, uncertainty of structural stiffness of beam-column joints and inconvenience for disassembly. The dry connection technology is applied by composing of steel plate and concrete. Finite element models of DPC were created to study its structural performance including hysteresis curve, skeleton curve, ductility, and energy dissipation capacity. The benchmark models are firstly established and validated against the test data and after that a small-scale parametric study is prepared. The effect of axial pressure ratio and eccentricity distance size on the seismic performance of DPC was studied. Results indict that the optimal value of axial pressure ratio ranges from 0.5 to 0.7. With increase of the axial pressure ratio, the ductility coefficient shows a decreasing trend in general. The eccentricity has little effect on the energy dissipation capacity of the joint.
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Affiliation(s)
- H. Zhan
- Research Centre of Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, 510006, China
| | - M. Ye
- Research Centre of Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, 510006, China
| | - J. Jiang
- Department of Civil Engineering and Smart Cities, Shantou University, 515063, China
| | - Y. Gao
- School of Marine Engineering Equipment, Zhejiang Ocean University, 316022, China
| | - C.W. Zheng
- Research Centre of Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, 510006, China
| | - S.C. Duan
- Research Centre of Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou, 510006, China
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Zhang M, Ding Y, Gao M, Lu X, Tan J, Yu F, Gu C, Gu L, Ren X, Hao C, Ming L, Xu K, Mao W, Jin Y, Zhang M, You L, Wang Z, Sun Y, Jiang J, Yang Y, Zhang D, Tang X. Discovery of Novel N-(Anthracen-9-ylmethyl) Benzamide Derivatives as ZNF207 Inhibitors Promising in Treating Glioma. J Med Chem 2024; 67:3909-3934. [PMID: 38377560 DOI: 10.1021/acs.jmedchem.3c02241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Targeting tumor stemness is an innovative approach to cancer treatment. Zinc Finger Protein 207 (ZNF207) is a promising target for weakening the stemness of glioma cells. Here, a series of novel N-(anthracen-9-ylmethyl) benzamide derivatives against ZNF207 were rationally designed and synthesized. The inhibitory activity was evaluated, and their structure-activity relationships were summarized. Among them, C16 exhibited the most potent inhibitory activity, as evidenced by its IC50 values ranging from 0.5-2.5 μM for inhibiting sphere formation and 0.5-15 μM for cytotoxicity. Furthermore, we found that C16 could hinder tumorigenesis and migration and promote apoptosis in vitro. These effects were attributed to the downregulation of stem-related genes. The in vivo evaluation demonstrated that C16 exhibited efficient permeability across the blood-brain barrier and potent efficacy in both subcutaneous and orthotopic glioma tumor models. Hence, C16 may serve as a potential lead compound targeting ZNF207 and has promising therapeutic potential for glioma.
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Affiliation(s)
- Menghan Zhang
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China 211112
| | - Yushi Ding
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, China 211112
| | - Mengkang Gao
- School of Pharmacy, China Pharmaceutical University, Nanjing, China 211112
| | - Xiaolin Lu
- School of Science, China Pharmaceutical University, Nanjing, China 211112
| | - Jun Tan
- School of Science, China Pharmaceutical University, Nanjing, China 211112
| | - Fei Yu
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China 211112
| | - Congying Gu
- School of Science, China Pharmaceutical University, Nanjing, China 211112
| | - Lujun Gu
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China 211112
| | - Xiameng Ren
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China 211112
| | - Chenyan Hao
- School of Science, China Pharmaceutical University, Nanjing, China 211112
| | - Liqin Ming
- School of Science, China Pharmaceutical University, Nanjing, China 211112
| | - Kang Xu
- School of Science, China Pharmaceutical University, Nanjing, China 211112
| | - Wenhao Mao
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China 211112
| | - Yuqing Jin
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China 211112
| | - Min Zhang
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, China 211112
| | - Linjun You
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, China 211112
- Center for New Drug Safety Evaluation and Research, China Pharmaceutical University, Nanjing, China 211112
| | - Zhanbo Wang
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, China 211112
- Center for New Drug Safety Evaluation and Research, China Pharmaceutical University, Nanjing, China 211112
| | - Yuanyuan Sun
- Shuangyun BioMed Sci & Tech (Suzhou) Co., Ltd, Suzhou, China 215000
| | - Jingwei Jiang
- Shuangyun BioMed Sci & Tech (Suzhou) Co., Ltd, Suzhou, China 215000
| | - Yong Yang
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China 211112
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China 211112
- School of Pharmacy, Xuzhou Medical University, Xuzhou, China 221004
| | - Dayong Zhang
- School of Science, China Pharmaceutical University, Nanjing, China 211112
| | - Xinying Tang
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China 211112
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7
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Bai L, Qu W, Cheng X, Yang H, Huang YP, Wang Z, Han C, Tian RF, Hu F, Yang L, Tian S, Tian H, Cai Z, Wan J, Jiang J, Fu J, Zhou J, Hu Y, Ma T, Zhang X, Ji YX, Cai J, She ZG, Wang Y, Zhang P, Huang L, Li H, Zhang XJ. Multispecies transcriptomics identifies SIKE as a MAPK repressor that prevents NASH progression. Sci Transl Med 2024; 16:eade7347. [PMID: 38354227 DOI: 10.1126/scitranslmed.ade7347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 01/24/2024] [Indexed: 02/16/2024]
Abstract
Nonalcoholic fatty liver (NAFL) remains relatively benign, but high-risk to end-stage liver diseases become highly prevalent when it progresses into nonalcoholic steatohepatitis (NASH). Our current understanding of the development of NAFL to NASH remains insufficient. In this study, we revealed MAP kinase (MAPK) activation as the most notable molecular signature associated with NASH progression across multiple species. Furthermore, we identified suppressor of IKKε (SIKE) as a conserved and potent negative controller of MAPK activation. Hepatocyte-specific overexpression of Sike prevented NASH progression in diet- and toxin-induced mouse NASH models. Mechanistically, SIKE directly interacted with TGF-β-activated kinase 1 (TAK1) and TAK1-binding protein 2 (TAB2) to interrupt their binding and subsequent TAK1-MAPK signaling activation. We found that indobufen markedly up-regulated SIKE expression and effectively improved NASH features in mice and macaques. These findings identify SIKE as a MAPK suppressor that prevents NASH progression and provide proof-of-concept evidence for targeting the SIKE-TAK1 axis as a potential NASH therapy.
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Affiliation(s)
- Lan Bai
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
- Department of Cardiology, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - Weiyi Qu
- Department of Cardiology, Renmin Hospital, Wuhan University, Wuhan 430060, China
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan 430060, China
| | - Xu Cheng
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
| | - Hailong Yang
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
| | - Yong-Ping Huang
- College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Zhenya Wang
- Department of Cardiology, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - Cuijuan Han
- School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Rui-Feng Tian
- Department of Cardiology, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - Fengjiao Hu
- Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Ling Yang
- Department of Cardiology, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - Song Tian
- School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Han Tian
- Department of Cardiology, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - Zhiwei Cai
- Department of Cardiology, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - Juan Wan
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
| | - Jingwei Jiang
- Jiangsu Key Lab of Drug Screening, China Pharmaceutical University, Nanjing 210009, China
| | - Jiajun Fu
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
| | - Junjie Zhou
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
| | - Yufeng Hu
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
| | - Tengfei Ma
- Department of Neurology, Huanggang Central Hospital, Huanggang 438000, China
| | - Xin Zhang
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
| | - Yan-Xiao Ji
- School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Jingjing Cai
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
- Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - Zhi-Gang She
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
- Department of Cardiology, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - Yibin Wang
- Signature Research Program in Cardiovascular and Metabolic Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Peng Zhang
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
- School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Lingli Huang
- Department of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, Huazhong Agricultural University, Wuhan 430070, China
| | - Hongliang Li
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
- Department of Cardiology, Renmin Hospital, Wuhan University, Wuhan 430060, China
- Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Xiao-Jing Zhang
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Ganzhou 341008, China
- School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
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8
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Yeoh KH, Chang YHR, Chew KH, Jiang J, Yoon TL, Ong DS, Goh BT. Computational Screening of a Single-Atom Catalyst Supported by Monolayer Nb 2S 2C for Oxygen Reduction Reaction. Langmuir 2024. [PMID: 38329924 DOI: 10.1021/acs.langmuir.3c03188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
The search for high-performance catalysts to improve the catalytic activity for an oxygen reduction reaction (ORR) is crucial for developing a proton exchange membrane fuel cell. Using the first-principles method, we have performed computational screening on a series of transition metal (TM) atoms embedded in monolayer Nb2S2C to enhance the ORR activity. Through the scaling relationship and volcano plot, our results reveal that the introduction of a single Ni or Rh atom through substitutional doping into monolayer Nb2S2C yields promising ORR catalysts with low overpotentials of 0.52 and 0.42 V, respectively. These doped atoms remain intact on the monolayer Nb2S2C even at elevated temperatures. Importantly, the catalytic activity of the Nb2S2C doped with a TM atom can be effectively correlated with an intrinsic descriptor, which can be computed based on the number of d orbital electrons and the electronegativity of TM and O atoms.
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Affiliation(s)
- K H Yeoh
- Jeffrey Sachs Center on Sustainable Development, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Selangor 47500, Malaysia
| | - Y H R Chang
- Faculty of Applied Sciences, Universiti Teknologi MARA, Cawangan Sarawak, Kota Samarahan, Sarawak 94300, Malaysia
| | - K-H Chew
- Zhejiang Expo New Materials Co. Ltd., 1066, Xincheng Times Avenue, Longgang, Wenzhou 325802, China
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Department of Physics, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - J Jiang
- Materials Simulation and Modelling, Department of Applied Physics, Eindhoven University of Technology, Eindhoven 5612, The Netherlands
| | - T L Yoon
- School of Physics, Universiti Sains Malaysia, Penang 11800 USM, Malaysia
| | - D S Ong
- Faculty of Engineering, Multimedia University, Persiaran Multimedia, Cyberjaya, Selangor 63100, Malaysia
| | - B T Goh
- Low Dimensional Materials Research Centre (LDMRC), Department of Physics, Faculty of Science, University of Malaya, Kuala Lumpur, 50603, Malaysia
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9
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Yan XQ, Ye MJ, Zou Q, Chen P, He ZS, Wu B, He DL, He CH, Xue XY, Ji ZG, Chen H, Zhang S, Liu YP, Zhang XD, Fu C, Xu DF, Qiu MX, Lv JJ, Huang J, Ren XB, Cheng Y, Qin WJ, Zhang X, Zhou FJ, Ma LL, Guo JM, Ding DG, Wei SZ, He Y, Guo HQ, Shi BK, Liu L, Liu F, Hu ZQ, Jin XM, Yang L, Zhu SX, Liu JH, Huang YH, Xu T, Liu B, Sun T, Wang ZJ, Jiang HW, Yu DX, Zhou AP, Jiang J, Luan GD, Jin CL, Xu J, Hu JX, Huang YR, Guo J, Zhai W, Sheng XN. Toripalimab plus axitinib versus sunitinib as first-line treatment for advanced renal cell carcinoma: RENOTORCH, a randomized, open-label, phase III study. Ann Oncol 2024; 35:190-199. [PMID: 37872020 DOI: 10.1016/j.annonc.2023.09.3108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 09/21/2023] [Accepted: 09/21/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Immune checkpoint inhibitors in combination with tyrosine kinase inhibitors are standard treatments for advanced clear cell renal cell carcinoma (RCC). This phase III RENOTORCH study compared the efficacy and safety of toripalimab plus axitinib versus sunitinib for the first-line treatment of patients with intermediate-/poor-risk advanced RCC. PATIENTS AND METHODS Patients with intermediate-/poor-risk unresectable or metastatic RCC were randomized in a ratio of 1 : 1 to receive toripalimab (240 mg intravenously once every 3 weeks) plus axitinib (5 mg orally twice daily) or sunitinib [50 mg orally once daily for 4 weeks (6-week cycle) or 2 weeks (3-week cycle)]. The primary endpoint was progression-free survival (PFS) assessed by an independent review committee (IRC). The secondary endpoints were investigator-assessed PFS, overall response rate (ORR), overall survival (OS), and safety. RESULTS A total of 421 patients were randomized to receive toripalimab plus axitinib (n = 210) or sunitinib (n = 211). With a median follow-up of 14.6 months, toripalimab plus axitinib significantly reduced the risk of disease progression or death by 35% compared with sunitinib as assessed by an IRC [hazard ratio (HR) 0.65, 95% confidence interval (CI) 0.49-0.86; P = 0.0028]. The median PFS was 18.0 months in the toripalimab-axitinib group, whereas it was 9.8 months in the sunitinib group. The IRC-assessed ORR was significantly higher in the toripalimab-axitinib group compared with the sunitinib group (56.7% versus 30.8%; P < 0.0001). An OS trend favoring toripalimab plus axitinib was also observed (HR 0.61, 95% CI 0.40-0.92). Treatment-related grade ≥3 adverse events occurred in 61.5% of patients in the toripalimab-axitinib group and 58.6% of patients in the sunitinib group. CONCLUSION In patients with previously untreated intermediate-/poor-risk advanced RCC, toripalimab plus axitinib provided significantly longer PFS and higher ORR than sunitinib and had a manageable safety profile TRIAL REGISTRATION: ClinicalTrials.gov NCT04394975.
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Affiliation(s)
- X Q Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genitourinary Oncology, Peking University Cancer Hospital & Institute, Beijing
| | - M J Ye
- Department of Urology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha
| | - Q Zou
- Department of Urology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Affiliated Cancer Hospital of Nanjing Medical University, Nanjing
| | - P Chen
- Department of Urology, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi
| | - Z S He
- Department of Urology, First Hospital of Peking University, Beijing
| | - B Wu
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang
| | - D L He
- Department of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an
| | - C H He
- Department of Urology, Cancer Hospital of Henan Province, Zhengzhou
| | - X Y Xue
- Department of Urology, The First Affiliated Hospital, Fujian Medical University, Fuzhou
| | - Z G Ji
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - H Chen
- Department of Urology, Harbin Medical University Cancer Hospital, Harbin
| | - S Zhang
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu
| | - Y P Liu
- Department of Oncology, The First Hospital of China Medical University, Shenyang
| | - X D Zhang
- Department of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing
| | - C Fu
- Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang
| | - D F Xu
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai
| | - M X Qiu
- Department of Urology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu
| | - J J Lv
- Department of Urology, Provincial Hospital Affiliated to Shandong First Medical University, Jinan
| | - J Huang
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou
| | - X B Ren
- Department of Immunology and Biotherapy, Cancer Institute & Hospital, Tianjin Medical University, Tianjin
| | - Y Cheng
- Department of Medical Thoracic Oncology, Jilin Provincial Cancer Hospital, Changchun
| | - W J Qin
- Department of Urology, Xijing Hospital of Air Force Military Medical University, Xi'an
| | - X Zhang
- Department of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing
| | - F J Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou
| | - L L Ma
- Department of Urology, Peking University Third Hospital, Beijing
| | - J M Guo
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai
| | - D G Ding
- Department of Urology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou
| | - S Z Wei
- Department of Urology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Y He
- Department of Urology, The Affiliated Hospital of Jiaxing University, Jiaxing
| | - H Q Guo
- Department of Urology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing
| | - B K Shi
- Department of Urology, Qilu Hospital of Shandong University, Jinan
| | - L Liu
- Department of Urology, Qilu Hospital of Shandong University, Jinan
| | - F Liu
- Department of Urology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou
| | - Z Q Hu
- Department of Urology, Tongji Hospital affiliated to Tongji Medical College of Huazhong University of Science & Technology, Wuhan
| | - X M Jin
- Department of Oncology, General Hospital of Ningxia Medical University, Yinchuan
| | - L Yang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou
| | - S X Zhu
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou
| | - J H Liu
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming
| | - Y H Huang
- Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou
| | - T Xu
- Department of Urology, Peking University People's Hospital, Beijing
| | - B Liu
- Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou
| | - T Sun
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang
| | - Z J Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing
| | - H W Jiang
- Department of Urology, Huashan Hospital, Fudan University, Shanghai
| | - D X Yu
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei
| | - A P Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - J Jiang
- Department of Urology, The PLA General Hospital Army Characteristic Medical Center, Chongqing
| | - G D Luan
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - C L Jin
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - J Xu
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - J X Hu
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - Y R Huang
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genitourinary Oncology, Peking University Cancer Hospital & Institute, Beijing
| | - W Zhai
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - X N Sheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genitourinary Oncology, Peking University Cancer Hospital & Institute, Beijing.
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Jiang J, Xia Z, Zheng D, Li Y, Li F, Wang W, Ding S, Zhang J, Su X, Zhai Q, Zuo Y, Zhang Y, Gaisano HY, He Y, Sun J. Factors associated with nocturnal and diurnal glycemic variability in patients with type 2 diabetes: a cross-sectional study. J Endocrinol Invest 2024; 47:245-253. [PMID: 37354249 DOI: 10.1007/s40618-023-02142-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/16/2023] [Indexed: 06/26/2023]
Abstract
PURPOSE There is little information on factors that influence the glycemic variability (GV) during the nocturnal and diurnal periods. We aimed to examine the relationship between clinical factors and GV during these two periods. METHODS This cross-sectional study included 134 patients with type 2 diabetes. 24-h changes in blood glucose were recorded by a continuous glucose monitoring system. Nocturnal and diurnal GV were assessed by standard deviation of blood glucose (SDBG), coefficient of variation (CV), and mean amplitude of glycemic excursions (MAGE), respectively. Robust regression analyses were performed to identify the factors associated with GV. Restricted cubic splines were used to determine dose-response relationship. RESULTS During the nocturnal period, age and glycemic level at 12:00 A.M. were positively associated with GV, whereas alanine aminotransferase was negatively associated with GV. During the diurnal period, homeostatic model assessment 2-insulin sensitivity (HOMA2-S) was positively associated with GV, whereas insulin secretion-sensitivity index-2 (ISSI2) was negatively associated with GV. Additionally, we found a J-shape association between the glycemic level at 12:00 A.M. and MAGE, with 9.0 mmol/L blood glucose level as a cutoff point. Similar nonlinear associations were found between ISSI2 and SDBG, and between ISSI2 and MAGE, with ISSI2 value of 175 as a cutoff point. CONCLUSION Factors associated with GV were different between nocturnal and diurnal periods. The cutoff points we found in this study may provide the therapeutic targets for beta-cell function and pre-sleep glycemic level in clinical practice.
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Affiliation(s)
- J Jiang
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China
- Postdoctoral of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Z Xia
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - D Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Y Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - F Li
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China
| | - W Wang
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China
| | - S Ding
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China
| | - J Zhang
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China
| | - X Su
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - Q Zhai
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - Y Zuo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - Y Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
| | - H Y Gaisano
- Departments of Medicine and Physiology, University of Toronto, Toronto, ON, Canada
| | - Y He
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - J Sun
- Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China.
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Jiang J, Gao S, Zhao Z, Chen Z, Zhang F, Li L, Jiang P, Guan X, Li P, Pan Y, Zhou Z. A novel short-type peptidoglycan recognition protein with unique polysaccharide recognition specificity in sea cucumber, Apostichopus japonicus. Fish Shellfish Immunol 2024; 144:109263. [PMID: 38040134 DOI: 10.1016/j.fsi.2023.109263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/22/2023] [Accepted: 11/26/2023] [Indexed: 12/03/2023]
Abstract
Pattern recognition receptors (PRRs) are the first line of immune defense in invertebrates against pathogen infection; they recognize pathogens and transmit signals to downstream immune pathways. Among these, peptidoglycan recognition proteins (PGRPs) are an important family in invertebrates that generally comprise of complicated isoforms. A comprehensive understanding of PGRPs in evolutionarily and economically important marine invertebrates, such as the sea cucumber, Apostichopus japonicus, is crucial. Previous studies have identified two PGRPs in sea cucumber, AjPGRP-S and AjPGRP-S1, and another novel short-type PGRP, AjPGRP-S3, was additionally identified here. The full-length cDNA sequence of AjPGRP-S3 was obtained here by PCR-RACE, followed by which showed its gene expression analyses by in situ hybridization that showed it to be relatively highly expressed in coelomocytes and tube feet. Based on an analysis of the recombinant protein, rAjPGRP-S3, a board-spectrum pathogen recognition ability was noted that covered diverse Gram-negative and -positive bacteria, and fungi. Moreover, according to the results of yeast two-hybridization, it was suggested that rAJPGRP-S3 interacted with multiple immune-related factors, including proteins involved in the complement system, extracellular matrix, vesicle trafficking, and antioxidant system. These findings prove the important functions of AjPGRP-S3 in the transduction of pathogen signals to downstream immune effectors and help explore the functional differences in the AjPGRP isoforms.
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Affiliation(s)
- Jingwei Jiang
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, PR China
| | - Shan Gao
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, PR China
| | - Zelong Zhao
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, PR China
| | - Zhong Chen
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, PR China
| | - Feifei Zhang
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, PR China
| | - Li Li
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, PR China
| | - Pingzhe Jiang
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, PR China
| | - Xiaoyan Guan
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, PR China
| | - Peipei Li
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, PR China
| | - Yongjia Pan
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, PR China
| | - Zunchun Zhou
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, PR China.
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12
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Petrella JR, Jiang J, Sreeram K, Dalziel S, Doraiswamy PM, Hao W. Personalized Computational Causal Modeling of the Alzheimer Disease Biomarker Cascade. J Prev Alzheimers Dis 2024; 11:435-444. [PMID: 38374750 DOI: 10.14283/jpad.2023.134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
BACKGROUND Mathematical models of complex diseases, such as Alzheimer's disease, have the potential to play a significant role in personalized medicine. Specifically, models can be personalized by fitting parameters with individual data for the purpose of discovering primary underlying disease drivers, predicting natural history, and assessing the effects of theoretical interventions. Previous work in causal/mechanistic modeling of Alzheimer's Disease progression has modeled the disease at the cellular level and on a short time scale, such as minutes to hours. No previous studies have addressed mechanistic modeling on a personalized level using clinically validated biomarkers in individual subjects. OBJECTIVES This study aimed to investigate the feasibility of personalizing a causal model of Alzheimer's Disease progression using longitudinal biomarker data. DESIGN/SETTING/PARTICIPANTS/MEASUREMENTS We chose the Alzheimer Disease Biomarker Cascade model, a widely-referenced hypothetical model of Alzheimer's Disease based on the amyloid cascade hypothesis, which we had previously implemented mathematically as a mechanistic model. We used available longitudinal demographic and serial biomarker data in over 800 subjects across the cognitive spectrum from the Alzheimer's Disease Neuroimaging Initiative. The data included participants that were cognitively normal, had mild cognitive impairment, or were diagnosed with dementia (probable Alzheimer's Disease). The model consisted of a sparse system of differential equations involving four measurable biomarkers based on cerebrospinal fluid proteins, imaging, and cognitive testing data. RESULTS Personalization of the Alzheimer Disease Biomarker Cascade model with individual serial biomarker data yielded fourteen personalized parameters in each subject reflecting physiologically meaningful characteristics. These included growth rates, latency values, and carrying capacities of the various biomarkers, most of which demonstrated significant differences across clinical diagnostic groups. The model fits to training data across the entire cohort had a root mean squared error (RMSE) of 0.09 (SD 0.081) on a variable scale between zero and one, and were robust, with over 90% of subjects showing an RMSE of < 0.2. Similarly, in a subset of subjects with data on all four biomarkers in at least one test set, performance was high on the test sets, with a mean RMSE of 0.15 (SD 0.117), with 80% of subjects demonstrating an RMSE < 0.2 in the estimation of future biomarker points. Cluster analysis of parameters revealed two distinct endophenotypic groups, with distinct biomarker profiles and disease trajectories. CONCLUSION Results support the feasibility of personalizing mechanistic models based on individual biomarker trajectories and suggest that this approach may be useful for reclassifying subjects on the Alzheimer's clinical spectrum. This computational modeling approach is not limited to the Alzheimer Disease Biomarker Cascade hypothesis, and can be applied to any mechanistic hypothesis of disease progression in the Alzheimer's field that can be monitored with biomarkers. Thus, it offers a computational platform to compare and validate various disease hypotheses, personalize individual biomarker trajectories and predict individual response to theoretical prevention and therapeutic intervention strategies.
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Affiliation(s)
- J R Petrella
- Jeffrey R. Petrella, Department of Radiology, Duke University School of Medicine, DUMC - Box 3808 , 27710-3808, NC, USA
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Mao Q, Ye Q, Xu Y, Jiang J, Fan Y, Zhuang L, Liu G, Wang T, Zhang Z, Feng T, Kong S, Lu J, Zhang H, Wang H, Lin CP. Murine trophoblast organoids as a model for trophoblast development and CRISPR-Cas9 screening. Dev Cell 2023; 58:2992-3008.e7. [PMID: 38056451 DOI: 10.1016/j.devcel.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 07/27/2023] [Accepted: 11/10/2023] [Indexed: 12/08/2023]
Abstract
The placenta becomes one of the most diversified organs during placental mammal radiation. The main in vitro model for studying mouse trophoblast development is the 2D differentiation model of trophoblast stem cells, which is highly skewed to certain lineages and thus hampers systematic screens. Here, we established culture conditions for the establishment, maintenance, and differentiation of murine trophoblast organoids. Murine trophoblast organoids under the maintenance condition contain stem cell-like populations, whereas differentiated organoids possess various trophoblasts resembling placental ones in vivo. Ablation of Nubpl or Gcm1 in trophoblast organoids recapitulated their deficiency phenotypes in vivo, suggesting that those organoids are valid in vitro models for trophoblast development. Importantly, we performed an efficient CRISPR-Cas9 screening in mouse trophoblast organoids using a focused sgRNA (single guide RNA) library targeting G protein-coupled receptors. Together, our results establish an organoid model to investigate mouse trophoblast development and a practicable approach to performing forward screening in trophoblast lineages.
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Affiliation(s)
- Qian Mao
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Qinying Ye
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Yiwen Xu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jingwei Jiang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Yunhao Fan
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Lili Zhuang
- Shanghai Institute of Precision Medicine, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
| | - Guohui Liu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Tengfei Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Zhenwu Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Teng Feng
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Shuangbo Kong
- Fujian Provincial Key Laboratory of Reproductive Health Research, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Jinhua Lu
- Fujian Provincial Key Laboratory of Reproductive Health Research, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Hui Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Haopeng Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.
| | - Chao-Po Lin
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.
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Xia Y, Zhang S, Luo H, Wang Y, Jiang Y, Jiang J, Yuan S. Repositioning of Montelukast to inhibit proliferation of mutated KRAS pancreatic cancer through a novel mechanism that interfere the binding between KRAS and GTP/GDP. Eur J Pharmacol 2023; 961:176157. [PMID: 37939992 DOI: 10.1016/j.ejphar.2023.176157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 10/23/2023] [Accepted: 10/24/2023] [Indexed: 11/10/2023]
Abstract
Pancreatic cancer is one of the most lethal cancer types with 5-year survival rate of ∼10.8%. Various KRAS mutations exist in ∼85% pancreatic cancer cell lines. Mutated KRAS is a major cause that leads cancer cell proliferation. Chemotherapy is still the major treatment for pancreatic cancer. Alternatively, repositioning old drug to inhibit mutated KRAS may be a cost-effective way for pancreatic cancer treatment. In this study, we choose mutated KRAS (G12D) as a target. Based on mutated KRAS GTP binding domain (hydrolyze GTP to GDP), we perform virtual screening on FDA-approved drugs. Montelukast shows strong binding affinity to mutated KRAS as well as interfering both GTP and GDP binding to mutated KRAS. Furthermore, Montelukast shows very strong anti-proliferation effect on mutated KRAS pancreatic cancer cells both in vitro and in vivo. Our results support repositioning of Montelukast as single agent for pancreatic cancer treatment.
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Affiliation(s)
- Yannan Xia
- New Drug Screening Center, Jiangsu Center for Pharmacodynamics Research and Evaluation, China Pharmaceutical University, China
| | - Shujie Zhang
- New Drug Screening Center, Jiangsu Center for Pharmacodynamics Research and Evaluation, China Pharmaceutical University, China
| | - Hongyi Luo
- New Drug Screening Center, Jiangsu Center for Pharmacodynamics Research and Evaluation, China Pharmaceutical University, China
| | - Yumeng Wang
- New Drug Screening Center, Jiangsu Center for Pharmacodynamics Research and Evaluation, China Pharmaceutical University, China
| | - Yuanyuan Jiang
- New Drug Screening Center, Jiangsu Center for Pharmacodynamics Research and Evaluation, China Pharmaceutical University, China
| | - Jingwei Jiang
- New Drug Screening Center, Jiangsu Center for Pharmacodynamics Research and Evaluation, China Pharmaceutical University, China; Shuangyun BioMed Sci & Tech (Suzhou) Co., Ltd, China.
| | - Shengtao Yuan
- New Drug Screening Center, Jiangsu Center for Pharmacodynamics Research and Evaluation, China Pharmaceutical University, China.
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15
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Li P, Li M, Sun B, Li X, Xiao Q, Yue D, Gao S, Wang B, Jiang X, Jiang J, Zhou Z. Integrated Three-Dimensional Microdevice with a Modified Surface for Enhanced DNA Separation from Biological Samples. ACS Appl Mater Interfaces 2023; 15:55297-55307. [PMID: 38058108 DOI: 10.1021/acsami.3c11681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Functional interfaces and devices for rapid adsorption and immobilization of nucleic acids (NAs) are significant for relevant bioengineering applications. Herein, a microdevice with poly(acrylic acid) (PAA) photosensitive resin was integrated by three-dimensional (3D) printing, named DPAA for short. Precise microscale structures and abundant surface carboxyl functional groups were fabricated for fast and high-throughput deoxyribonucleic acid (DNA) separation. Surface modification was then done using polydopamine (PDA) and poly(ethylene glycol) (PEG) to obtain modified poly(acrylic acid) (PAA)-based devices DPDA-PAA and DPEG-PAA rich in amino and hydroxyl groups, respectively. The fabricated device DPAA possessed superior printing accuracy (40-50 μm). Functionalization of amino and hydroxyl was successful, and the modified devices DPDA-PAA and DPEG-PAA maintained a high thermal stability like DPAA. Surface potential analysis and molecular dynamics simulation indicated that the affinity for DNA was in the order of DPDA-PAA > DPEG-PAA > DPAA. Further DNA separation experiments confirmed the high throughput and high selectivity of DNA separation performance, consistent with the predicted affinity results. DPDA-PAA showed relatively the highest DNA extraction yield, while DPEG-PAA was the worst. An acidic binding system is more favorable for DNA separation and recovery. DPDA-PAA showed significantly better DNA extraction performance than DPAA in a weakly acidic environment (pH 5.0-7.0), and the average DNA yield of the first elution was 2.16 times that of DPAA. This work validates the possibility of modification on integrated 3D microdevices to improve their DNA separation efficiency effectively. It also provides a new direction for the rational design and functionalization of bioengineering separators based on nonmagnetic methods. It may pave a new path for the highly efficient polymerase chain reaction diagnosis.
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Affiliation(s)
- Peipei Li
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, China
| | - Menghang Li
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, China
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Bing Sun
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Xinrong Li
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, China
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Qianying Xiao
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Dongmei Yue
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, China
| | - Shan Gao
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, China
| | - Bai Wang
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, China
| | - Xiaobin Jiang
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Jingwei Jiang
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, China
| | - Zunchun Zhou
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, China
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Sun H, Chen Z, Jiang J, Dong Y, Wang B, Guan X, Zhao L, Gao S, Zunchun Z. Analyses of regulation between miRNA and DNA methyltransferase 1 related genes in sea cucumber Apostichopusjaponicus. Fish Shellfish Immunol 2023; 143:109169. [PMID: 37852510 DOI: 10.1016/j.fsi.2023.109169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 10/12/2023] [Accepted: 10/15/2023] [Indexed: 10/20/2023]
Affiliation(s)
- Hongjuan Sun
- Key Lab of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, 116023, China
| | - Zhong Chen
- Key Lab of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, 116023, China
| | - Jingwei Jiang
- Key Lab of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, 116023, China.
| | - Ying Dong
- Key Lab of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, 116023, China
| | - Bai Wang
- Key Lab of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, 116023, China
| | - Xiaoyan Guan
- Key Lab of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, 116023, China
| | - Liang Zhao
- Key Lab of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, 116023, China
| | - Shan Gao
- Key Lab of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, 116023, China
| | - Zhou Zunchun
- Key Lab of Protection and Utilization of Aquatic Germplasm Resource, Ministry of Agriculture and Rural Affairs, Key Laboratory of Germplasm Improvement and Fine Seed Breeding for Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, 116023, China.
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Guan X, Zhao Z, Jiang J, Fu L, Liu J, Pan Y, Gao S, Wang B, Chen Z, Wang X, Sun H, Jiang B, Dong Y, Zhou Z. Succession and assembly mechanisms of seawater prokaryotic communities along an extremely wide salinity gradient. Environ Microbiol Rep 2023; 15:545-556. [PMID: 37537784 PMCID: PMC10667648 DOI: 10.1111/1758-2229.13188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 07/06/2023] [Indexed: 08/05/2023]
Abstract
Salinity is an important environmental factor in microbial ecology for affecting the microbial communities in diverse environments. Understanding the salinity adaptation mechanisms of a microbial community is a significant issue, while most previous studies only covered a narrow salinity range. Here, variations in seawater prokaryotic communities during the whole salt drying progression (salinity from 3% to 25%) were investigated. According to high-throughput sequencing results, the diversity, composition, and function of seawater prokaryotic communities varied significantly along the salinity gradient, expressing as decreased diversity, enrichment of some halophilic archaea, and powerful nitrate reduction in samples with high salt concentrations. More importantly, a sudden and dramatic alteration of prokaryotic communities was observed when salinity reached 16%, which was recognized as the change point. Combined with the results of network analysis, we found the increasing of complexity but decreasing of stability in prokaryotic communities when salinity exceeded the change point. Moreover, prokaryotic communities became more deterministic when salinity exceeded the change point due to the niche adaptation of halophilic species. Our study showed that substantial variations in seawater prokaryotic communities along an extremely wide salinity gradient, and also explored the underlying mechanisms regulating these changes.
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Affiliation(s)
- Xiaoyan Guan
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
| | - Zelong Zhao
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
| | - Jingwei Jiang
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
| | - Lei Fu
- Dalian Salt Chemical Group Co., LtdDalianLiaoningPeople's Republic of China
| | - Jiaojiao Liu
- Dalian Salt Chemical Group Co., LtdDalianLiaoningPeople's Republic of China
| | - Yongjia Pan
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
| | - Shan Gao
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
| | - Bai Wang
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
| | - Zhong Chen
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
| | - Xuda Wang
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
| | - Hongjuan Sun
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
| | - Bing Jiang
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
| | - Ying Dong
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
| | - Zunchun Zhou
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic AnimalsLiaoning Ocean and Fisheries Science Research InstituteDalianLiaoningPeople's Republic of China
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18
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Lei M, Jiang J, Wang M, Wu W, Zhang J, Liu W, Zhou W, Lai YC, Jiang TX, Widelitz RB, Harn HIC, Yang L, Chuong CM. Epidermal-dermal coupled spheroids are important for tissue pattern regeneration in reconstituted skin explant cultures. NPJ Regen Med 2023; 8:65. [PMID: 37996466 PMCID: PMC10667216 DOI: 10.1038/s41536-023-00340-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 11/09/2023] [Indexed: 11/25/2023] Open
Abstract
Tissue patterning is critical for the development and regeneration of organs. To advance the use of engineered reconstituted skin organs, we study cardinal features important for tissue patterning and hair regeneration. We find they spontaneously form spheroid configurations, with polarized epidermal cells coupled with dermal cells through a newly formed basement membrane. Functionally, the spheroid becomes competent morphogenetic units (CMU) that promote regeneration of tissue patterns. The emergence of new cell types and molecular interactions during CMU formation was analyzed using scRNA-sequencing. Surprisingly, in newborn skin explants, IFNr signaling can induce apical-basal polarity in epidermal cell aggregates. Dermal-Tgfb induces basement membrane formation. Meanwhile, VEGF signaling mediates dermal cell attachment to the epidermal cyst shell, thus forming a CMU. Adult mouse and human fetal scalp cells fail to form a CMU but can be restored by adding IFNr or VEGF to achieve hair regeneration. We find different multi-cellular configurations and molecular pathways are used to achieve morphogenetic competence in developing skin, wound-induced hair neogenesis, and reconstituted explant cultures. Thus, multiple paths can be used to achieve tissue patterning. These insights encourage more studies of "in vitro morphogenesis" which may provide novel strategies to enhance regeneration.
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Affiliation(s)
- Mingxing Lei
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China.
- Integrative Stem Cell Center, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan.
| | - Jingwei Jiang
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Mengyue Wang
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Wang Wu
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Jinwei Zhang
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Wanqian Liu
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Wei Zhou
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Yung-Chih Lai
- Integrative Stem Cell Center, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan
| | - Ting-Xin Jiang
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Randall B Widelitz
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Hans I-Chen Harn
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Li Yang
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Cheng-Ming Chuong
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
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Jiang J, Liu B, Li YW, Hothi SS. Clinical service evaluation of the feasibility and reproducibility of novel artificial intelligence based-echocardiographic quantification of global longitudinal strain and left ventricular ejection fraction in trastuzumab-treated patients. Front Cardiovasc Med 2023; 10:1250311. [PMID: 38045908 PMCID: PMC10693341 DOI: 10.3389/fcvm.2023.1250311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/16/2023] [Indexed: 12/05/2023] Open
Abstract
Introduction Cardiotoxicity is a potential prognostically important complication of certain chemotherapeutic agents that may result in preclinical or overt clinical heart failure. In some cases, chemotherapy must be withheld when left ventricular (LV) systolic function becomes significantly impaired, to protect cardiac function at the expense of a change in the oncological treatment plan, leading to associated changes in oncological prognosis. Accordingly, patients receiving potentially cardiotoxic chemotherapy undergo routine surveillance before, during and following completion of therapy, usually with transthoracic echocardiography (TTE). Recent advancements in AI-based cardiac imaging reveal areas of promise but key challenges remain. There are ongoing questions as to whether the ability of AI to detect subtle changes in individual patients is at a level equivalent to manual analysis. This raises the question as to whether AI-based left ventricular strain analysis could provide a potential solution to left ventricular systolic function analysis in a manner equivocal to or superior to conventional assessment, in a real-world clinical service. AI based automated analyses may represent a potential solution for addressing the pressure of increasing echocardiographic demands within limited service-capacity healthcare systems, in addition to facilitating more accurate diagnoses. Methods This clinical service evaluation aims to establish whether AI-automated analysis compared to conventional methods (1) is a feasible method for assessing LV-GLS and LVEF, (2) yields moderate to good correlation between the two approaches, and (3) would lead to different clinical recommendations with serial surveillance in a real-world clinical population. Results and Discussion We observed a moderate correlation (r = 0.541) in GLS between AI automated assessment compared to conventional methods. The LVEF quantification between methods demonstrated a strong correlation (r = 0.895). AI-generated GLS and LVEF values compared reasonably well with conventional methods, demonstrating a similar temporal pattern throughout echocardiographic surveillance. The apical-three chamber view demonstrated the lowest correlation (r = 0.423) and revealed to be least successful for acquisition of GLS and LVEF. Compared to conventional methodology, AI-automated analysis has a significantly lower feasibility rate, demonstrating a success rate of 14% (GLS) and 51% (LVEF).
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Affiliation(s)
- J. Jiang
- Heart and Lung Centre, New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom
| | - B. Liu
- Department of Cardiology, Manchester University NHS Foundation Trust, Manchester, United Kingdom
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Y. W. Li
- Department of Anaesthesia, New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom
| | - S. S. Hothi
- Heart and Lung Centre, New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom
- Research Centre for Health and Life Sciences, Coventry University, Coventry, United Kingdom
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Jiang J, Wang Z, Sun Y, Qian Z, Cao Z, Wang Z, Zhou G. Amorphous Poly (Aryl Ether Ketones) Containing Methylene Groups with Excellent Thermal Resistance, Dielectric Properties and Mechanical Performance. Polymers (Basel) 2023; 15:4330. [PMID: 37960010 PMCID: PMC10650800 DOI: 10.3390/polym15214330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 11/15/2023] Open
Abstract
Low-dielectric constant polymers are widely used in various microelectronic materials. With the development of 5G communication technology, there is an urgent need for polymer materials with low dielectric constant at high frequency, good thermal resistance, and mechanical properties. In this study, four novel poly (aryl ether ketone) (PAEK) containing different numbers of methylene groups were synthesized via nucleophilic polycondensation reaction. At 10 GHz, these polymer films exhibit excellent dielectric properties with dielectric constants as low as 2.76. The relationship between the dielectric constant and the number of methylene groups is illustrated by constructing the amorphous accumulation cell model. In addition, methylene groups provided the polymer with favorable mechanical performance, including Young's modulus in the range of 2.17-2.21 GPa, the tensile strength from 82.0 to 88.5 MPa and the elongation at the break achieved 7.94%, respectively. Simultaneously, the polymer maintains good thermal resistance with a glass transition temperature (Tg) reaching 216 °C. The result indicates that the obtained novel PAEK is potentially valuable in the field of high-frequency communications.
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Affiliation(s)
- Jingwei Jiang
- Division of Energy Materials (DNL22), Dalian Institute of Chemical Physics of the Chinese Academy of Sciences, Dalian 116023, China; (J.J.); (Y.S.); (Z.Q.); (Z.C.)
- School of Textile and Material Engineering, Dalian Polytechnic University, Dalian 116034, China;
| | - Zhichao Wang
- School of Textile and Material Engineering, Dalian Polytechnic University, Dalian 116034, China;
| | - Yunlong Sun
- Division of Energy Materials (DNL22), Dalian Institute of Chemical Physics of the Chinese Academy of Sciences, Dalian 116023, China; (J.J.); (Y.S.); (Z.Q.); (Z.C.)
| | - Zengxu Qian
- Division of Energy Materials (DNL22), Dalian Institute of Chemical Physics of the Chinese Academy of Sciences, Dalian 116023, China; (J.J.); (Y.S.); (Z.Q.); (Z.C.)
| | - Zengwen Cao
- Division of Energy Materials (DNL22), Dalian Institute of Chemical Physics of the Chinese Academy of Sciences, Dalian 116023, China; (J.J.); (Y.S.); (Z.Q.); (Z.C.)
| | - Zhipeng Wang
- Division of Energy Materials (DNL22), Dalian Institute of Chemical Physics of the Chinese Academy of Sciences, Dalian 116023, China; (J.J.); (Y.S.); (Z.Q.); (Z.C.)
| | - Guangyuan Zhou
- Division of Energy Materials (DNL22), Dalian Institute of Chemical Physics of the Chinese Academy of Sciences, Dalian 116023, China; (J.J.); (Y.S.); (Z.Q.); (Z.C.)
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Abe K, Hayato Y, Hiraide K, Ieki K, Ikeda M, Kameda J, Kanemura Y, Kaneshima R, Kashiwagi Y, Kataoka Y, Miki S, Mine S, Miura M, Moriyama S, Nakano Y, Nakahata M, Nakayama S, Noguchi Y, Okamoto K, Sato K, Sekiya H, Shiba H, Shimizu K, Shiozawa M, Sonoda Y, Suzuki Y, Takeda A, Takemoto Y, Takenaka A, Tanaka H, Watanabe S, Yano T, Han S, Kajita T, Okumura K, Tashiro T, Tomiya T, Wang X, Xia J, Yoshida S, Megias GD, Fernandez P, Labarga L, Ospina N, Zaldivar B, Pointon BW, Kearns E, Raaf JL, Wan L, Wester T, Bian J, Griskevich NJ, Kropp WR, Locke S, Smy MB, Sobel HW, Takhistov V, Yankelevich A, Hill J, Park RG, Bodur B, Scholberg K, Walter CW, Bernard L, Coffani A, Drapier O, El Hedri S, Giampaolo A, Mueller TA, Santos AD, Paganini P, Quilain B, Ishizuka T, Nakamura T, Jang JS, Learned JG, Choi K, Cao S, Anthony LHV, Martin D, Scott M, Sztuc AA, Uchida Y, Berardi V, Catanesi MG, Radicioni E, Calabria NF, Machado LN, De Rosa G, Collazuol G, Iacob F, Lamoureux M, Mattiazzi M, Ludovici L, Gonin M, Pronost G, Fujisawa C, Maekawa Y, Nishimura Y, Friend M, Hasegawa T, Ishida T, Kobayashi T, Jakkapu M, Matsubara T, Nakadaira T, Nakamura K, Oyama Y, Sakashita K, Sekiguchi T, Tsukamoto T, Boschi T, Di Lodovico F, Gao J, Goldsack A, Katori T, Migenda J, Taani M, Zsoldos S, Kotsar Y, Ozaki H, Suzuki AT, Takeuchi Y, Bronner C, Feng J, Kikawa T, Mori M, Nakaya T, Wendell RA, Yasutome K, Jenkins SJ, McCauley N, Mehta P, Tsui KM, Fukuda Y, Itow Y, Menjo H, Ninomiya K, Lagoda J, Lakshmi SM, Mandal M, Mijakowski P, Prabhu YS, Zalipska J, Jia M, Jiang J, Jung CK, Wilking MJ, Yanagisawa C, Harada M, Ishino H, Ito S, Kitagawa H, Koshio Y, Nakanishi F, Sakai S, Barr G, Barrow D, Cook L, Samani S, Wark D, Nova F, Yang JY, Malek M, McElwee JM, Stone O, Thiesse MD, Thompson LF, Okazawa H, Kim SB, Seo JW, Yu I, Ichikawa AK, Nakamura KD, Tairafune S, Nishijima K, Iwamoto K, Nakagiri K, Nakajima Y, Taniuchi N, Yokoyama M, Martens K, de Perio P, Vagins MR, Kuze M, Izumiyama S, Inomoto M, Ishitsuka M, Ito H, Kinoshita T, Matsumoto R, Ommura Y, Shigeta N, Shinoki M, Suganuma T, Yamauchi K, Martin JF, Tanaka HA, Towstego T, Akutsu R, Gousy-Leblanc V, Hartz M, Konaka A, Prouse NW, Chen S, Xu BD, Zhang B, Posiadala-Zezula M, Hadley D, Nicholson M, O'Flaherty M, Richards B, Ali A, Jamieson B, Marti L, Minamino A, Pintaudi G, Sano S, Suzuki S, Wada K. Erratum: Search for Cosmic-Ray Boosted Sub-GeV Dark Matter Using Recoil Protons at Super-Kamiokande [Phys. Rev. Lett. 130, 031802 (2023)]. Phys Rev Lett 2023; 131:159903. [PMID: 37897794 DOI: 10.1103/physrevlett.131.159903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Indexed: 10/30/2023]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.130.031802.
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Sun Y, Ni YA, Xu HJ, Wang LZ, Yang J, Jiang J, Zhong R. [Two cases of refractory childhood acute B-lymphoblastic leukemia with positive KMT2A-USP2 treated with Belintouximab]. Zhonghua Er Ke Za Zhi 2023; 61:930-932. [PMID: 37803862 DOI: 10.3760/cma.j.cn112140-20230406-00244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Affiliation(s)
- Y Sun
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Y A Ni
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - H J Xu
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - L Z Wang
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - J Yang
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - J Jiang
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - R Zhong
- Pediatric Hematology and Oncology Department, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
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Choi C, Thor M, Jiang J, Rimner A, Veeraraghavan H. Determining the Dosimetric Accuracy of Deep Learning-Based Fully Automated Registration-Segmentation Approach for Thoracic Cancer Organs-at-Risk Contouring. Int J Radiat Oncol Biol Phys 2023; 117:e656-e657. [PMID: 37785947 DOI: 10.1016/j.ijrobp.2023.06.2087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) For adaptive radiation therapy (ART), the contours on the planning CT (pCT) are frequently propagated to cone-beam CT (CBCT) via deformable image registration and manually edited, which is observer-dependent and time-consuming. To automate this process, we created a fully automated workflow by combining a deep learning (DL)-based pCT segmentation model with a CT-to-CBCT registration-segmentation DL model. The purpose of our research is to determine how using the proposed workflow's automatically generated contours affects thoracic organs-at-risk sparing (OAR). MATERIALS/METHODS Seven patients with locally advanced non-small cell lung cancer who underwent treatment with intensity modulated radiation therapy were included in this study. Each patient's pCT was segmented using a published DL model that has been used for generating thoracic OAR segmentation and radiotherapy planning in the clinic since July of 2020. Next, pCT was deformably registered using a published recurrent deep registration-segmentation method. Whereas the original method's segmentation sub-network was only trained to segment esophagus, the registration sub-network was used to propagate contours for heart, esophagus, and the proximal bronchial tree (PBT). Geometric segmentation accuracy using the Dice Similarity Coefficient (DSC) and the 95th percentile Hausdorff Distance (HD) and dose metrics including the mean esophageal dose (MED) and D90% of the heart (D90) were computed from the total accumulated dose for the first two weeks of treatment. RESULTS The esophagus had a high DSC and a low HD (0.93 and 2.85mm) and conversely, the heart had lower accuracy (DSC = 0.85, HD = 22.06mm). PBT showed relatively high performance as well, with DSC of 0.91 and HD of 2.28mm, owing to its proximity to the esophagus. The accumulated MED for manual contour was slightly lower than AI-contours (11.34 vs 11.83 Gy), suggesting reliability of the proposed workflow. The reverse is seen for the D90 of the heart (manual = 1.74 and AI-contour = 1.56 Gy), likely due to the heart not being included in the original DL framework. CONCLUSION This study reported preliminary results on the feasibility of using a fully automated and patient-specific workflow for CBCT auto-segmentation in ART, confirming its role as a geometrically and dosimetrically accurate solution for thoracic OARs. However, because it is currently limited to the esophagus, we believe that re-training the algorithm will increase confidence in other OARs such as the heart and lungs.
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Affiliation(s)
- C Choi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - M Thor
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Jiang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - A Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - H Veeraraghavan
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
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Choi C, Mankuzhy NP, Jiang J, Elguindi S, Thor M, Rimner A, Veeraraghavan H. Clinical Feasibility of Deep Learning-Based CT during Treatment CBCT Tumor Registration-Segmentation in Thoracic Radiotherapy (RT). Int J Radiat Oncol Biol Phys 2023; 117:e656. [PMID: 37785946 DOI: 10.1016/j.ijrobp.2023.06.2086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Accurate tumor segmentation on weekly cone-beam computed tomography (CBCT) images is critical for image-guided and adaptive radiation therapy (ART). In thoracic RT, low image contrast, imaging artifact, and geometry and image modality differences from the planning CT (pCT) typically limits accurate tumor segmentation and registration. Here, we explored the clinical feasibility of using 3D recurrent registration-segmentation deep learning (DL) that combines patient-specific anatomic and shape context from higher contrast pCT and planning contours (PACs) for tumor segmentation on during treatment CBCTs. MATERIALS/METHODS We included the pCT and CBCTs from six patients with locally advanced non-small cell lung cancer (LA-NSCLC) who had underwent RT. Cases were selected with a primary GTV contoured and labeled separately from the nodal GTV. Using rigidly aligned pCT and CBCT as inputs, DL auto-segmented the GTV on week 1 and 6 CBCTs, and these auto-segmented contours were manually inspected by a radiation oncologist that edited the GTV according to clinical standard quality. The Dice similarity coefficient (DSC), Hausdorff distance (HD95), mean surface distance (MSD), surface DSC (sDSC) and added path length (APL) were used to quantitively compare the DL and the edited GTV. RESULTS The primary GTV was in the right lung in five cases, and left lung in one case. Manual adjustments were typically made at the interface of GTV and lung parenchyma with partial inclusion of adjacent vessels. Hypodensities within the GTV were sometimes not segmented in all axial slices resulting in discontinuous components. The quantitative comparison between the edited and DL-generated GTV is shown in Table 1. For week 1, the average DSC and HD95 were 0.87 and 6.94 mm, respectively. The performance for week 6 was slightly lower than week 1, with a DSC of 0.85 and HD95 of 7.22 mm. CONCLUSION The agreement with the generated DL GTV and the edited GTV was high in week 1 and decreased somewhat later during the treatment course possibly due to a higher impact of geometric changes in tumor and adjacent structures. The proposed DL algorithm showed reasonable performance throughout the treatment, supporting its potential for use into clinical routine for LA-NSCLC.
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Affiliation(s)
- C Choi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - N P Mankuzhy
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Jiang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - S Elguindi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - M Thor
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - A Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - H Veeraraghavan
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
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Jiang J, Rezaeitaleshmahalleh M, Lyu Z, Mu N, Ahmed AS, Md CMS, Gemmete JJ, Pandey AS. Augmenting Prediction of Intracranial Aneurysms' Risk Status Using Velocity-Informatics: Initial Experience. J Cardiovasc Transl Res 2023; 16:1153-1165. [PMID: 37160546 PMCID: PMC10949935 DOI: 10.1007/s12265-023-10394-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 04/26/2023] [Indexed: 05/11/2023]
Abstract
Our primary goal here is to demonstrate that innovative analytics of aneurismal velocities, named velocity-informatics, enhances intracranial aneurysm (IA) rupture status prediction. 3D computer models were generated using imaging data from 112 subjects harboring anterior IAs (4-25 mm; 44 ruptured and 68 unruptured). Computational fluid dynamics simulations and geometrical analyses were performed. Then, computed 3D velocity vector fields within the IA dome were processed for velocity-informatics. Four machine learning methods (support vector machine, random forest, generalized linear model, and GLM with Lasso or elastic net regularization) were employed to assess the merits of the proposed velocity-informatics. All 4 ML methods consistently showed that, with velocity-informatics metrics, the area under the curve and prediction accuracy both improved by approximately 0.03. Overall, with velocity-informatics, the support vector machine's prediction was most promising: an AUC of 0.86 and total accuracy of 77%, with 60% and 88% of ruptured and unruptured IAs being correctly identified, respectively.
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Affiliation(s)
- J Jiang
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, 49931, USA.
- Center for Biocomputing and Digital Health, Health Research Institute, and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, MI, USA.
- Department of Medical Physics, University of Wisconsin, Madison, WI, USA.
| | - M Rezaeitaleshmahalleh
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, 49931, USA
- Center for Biocomputing and Digital Health, Health Research Institute, and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, MI, USA
| | - Z Lyu
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, 49931, USA
- Center for Biocomputing and Digital Health, Health Research Institute, and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, MI, USA
| | - Nan Mu
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, 49931, USA
- Center for Biocomputing and Digital Health, Health Research Institute, and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, MI, USA
| | - A S Ahmed
- Department of Neurosurgery, University of Wisconsin, Madison, WI, USA
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - C M Strother Md
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - J J Gemmete
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - A S Pandey
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA
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Deng LH, Geng JX, Xue Q, Jiang J, Chen LX, Wang JT. Correlation between nocturnal intermittent hypoxemia and mild cognitive impairment in the older adult and the role of BDNF Val66Met polymorphism: a hospital-based cross-sectional study. Sleep Breath 2023; 27:1945-1952. [PMID: 36567420 DOI: 10.1007/s11325-022-02772-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 11/14/2022] [Accepted: 12/16/2022] [Indexed: 12/27/2022]
Abstract
PURPOSE To explore the prevalence of nocturnal intermittent hypoxemia (NIH) in a tertiary hospital geriatric department and the relationship between NIH and mild cognitive impairment (MCI) in older adults, and to examine the role of brain-derived neurotrophic factor (BDNF) Val66Met polymorphism. METHODS Older adults aged ≥ 60 were enrolled. NIH and cognitive assessments were conducted. BDNF concentrations and BDNF Val66Met polymorphism were detected for a preliminary exploration of the possible mechanism of the process. RESULTS Of 325 older adults enrolled, 157 (48%) had NIH and were further divided into mild, moderate, and severe NIH groups according to their oxygen desaturation of ≥ 4% per hour of sleep (ODI4). MCI detection rate in the four groups gradually increased, and the differences were statistically significant (chi-square = 4.457, P = 0.035). ODI4 was negatively correlated with MoCA score in all participants (r = - 0.115, P = 0.039) and patients with NIH (r = - 0.199, P = 0.012). After adjusting for sex, age, and cardiovascular risk factors, NIH and MCI remained independently associated (OR = 3.13, 95% CI 1.03-9.53, P = 0.045). BDNF levels were positively correlated with MoCA score (r = 0.169, P = 0.028) and negatively correlated with nocturnal average oxygen saturation in patients with NIH (r = - 0.288, P = 0.008). Older adults with different BDNF Val66Met genotypes did not show significant differences in MCI rate and BDNF levels (P > 0.05). CONCLUSION The older adults with NIH have a higher MCI detection rate. BDNF levels may be a potential biomarker for cognitive dysfunction in patients with NIH.
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Affiliation(s)
- L H Deng
- Department of Geriatrics, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, 100044, Beijing, People's Republic of China
| | - J X Geng
- Peking University Health Science Center, Beijing, China
| | - Q Xue
- Department of Geriatrics, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, 100044, Beijing, People's Republic of China
| | - J Jiang
- Department of Geriatrics, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, 100044, Beijing, People's Republic of China
| | - L X Chen
- Department of Geriatrics, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, 100044, Beijing, People's Republic of China
| | - J T Wang
- Department of Geriatrics, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, 100044, Beijing, People's Republic of China.
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Du D, Qin M, Shi L, Liu C, Jiang J, Liao Z, Wang H, Zhang Z, Sun L, Fan H, Liu Z, Yu H, Li H, Peng J, Yuan S, Yang M, Xiong J. RNA binding motif protein 45-mediated phosphorylation enhances protein stability of ASCT2 to promote hepatocellular carcinoma progression. Oncogene 2023; 42:3127-3141. [PMID: 37658192 DOI: 10.1038/s41388-023-02795-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 07/17/2023] [Accepted: 07/24/2023] [Indexed: 09/03/2023]
Abstract
Targeting metabolic remodeling represents a potentially promising strategy for hepatocellular carcinoma (HCC) therapy. In-depth understanding on the regulation of the glutamine transporter alanine-serine-cysteine transporter 2 (ASCT2) contributes to the development of novel promising therapeutics. As a developmentally regulated RNA binding protein, RBM45 is capable to shuttle between nucleus and cytoplasm, and directly interacts with proteins. By bioinformatics analysis, we screened out that RBM45 was elevated in the HCC patient specimens and positively correlated with poor prognosis. RBM45 promoted cell proliferation, boosted xenograft tumorigenicity and accelerated HCC progression. Using untargeted metabolomics, it was found that RBM45 interfered with glutamine metabolism. Further results demonstrated that RBM45 positively associated with ASCT2 in human and mouse specimens. Moreover, RBM45 enhanced ASCT2 protein stability by counteracting autophagy-independent lysosomal degradation. Significantly, wild-type ASCT2, instead of phospho-defective mutants, rescued siRBM45-suppressed HCC cell proliferation. Using molecular docking approaches, we found AG-221, a mutant isocitrate dehydrogenase 2 (mIDH2) inhibitor for acute myeloid leukemia therapy, pharmacologically perturbed RBM45-ASCT2 interaction, decreased ASCT2 stability and suppressed HCC progression. These findings provide evidence that RBM45 plays a crucial role in HCC progression via interacting with and counteracting the degradation of ASCT2. Our findings suggest a novel alternative structural sites for the design of ASCT2 inhibitors and the agents interfering with RBM45-ASCT2 interaction may be a potential direction for HCC drug development.
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Affiliation(s)
- Danyu Du
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, 210009, China
| | - Mengyao Qin
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, 210009, China
| | - Li Shi
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China
| | - Chan Liu
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, 210009, China
| | - Jingwei Jiang
- Shuangyun BioMed Sci & Tech Co., Ltd., Suzhou, 215000, China
| | - Zhengguang Liao
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, 210009, China
| | - Hongxv Wang
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, 210009, China
| | - Zhibo Zhang
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, 210009, China
| | - Li Sun
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, 210009, China
| | - Hui Fan
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China
| | - Zhengrui Liu
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, 210009, China
| | - Hong Yu
- Department of Pathology, Taizhou People's Hospital Affiliated to Dalian Medical University, Taizhou, 225300, Jiangsu, China
| | - Hongyang Li
- Institute of Dermatology, Chinese Academy of Medical Science & Peking Union Medical College, Nanjing, 210042, China
| | - Jun Peng
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, 210009, China
| | - Shengtao Yuan
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, 210009, China.
| | - Mei Yang
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, 210009, China.
| | - Jing Xiong
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
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Sun R, Xi K, Song X, Yin W, Xi D, Shao Y, Gu W, Jiang J. The Effect of MDSC-Derived Exosomes Played in Esophageal Squamous Carcinoma Cells after Ionizing Radiation. Int J Radiat Oncol Biol Phys 2023; 117:e261. [PMID: 37785000 DOI: 10.1016/j.ijrobp.2023.06.1216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiotherapy is the main treatment for esophageal cancer. Previous studies have shown that radiotherapy not only kills tumor cells directly, but also reshapes the immune microenvironment of the tumor. It has been reported an increase in the recruitment of myeloid-derived suppressor cells (MDSC) can occur in tumor tissue after ionizing radiation. Exosomes are mediators of intercellular information exchange and are also involved in the regulation of the tumor microenvironment. In this study, we wanted to understand whether MDSC in esophageal cancer tissue are involved in the regulation of tumor cell response to ionizing radiation via exosomes. MATERIALS/METHODS KYSE-150 was used to construct a subcutaneous transplantation tumor model in nude mice. And then mice irradiated with 5 Gy×5fx and 0 Gy×5fx respectively. After irradiation, the spleens of the mice were used to isolate MDSC, and collect the cell supernatants to extract the exosomes. Based on the exosomes, we divided the experiment into three groups (control, exosomes, exosomes+radiation). Exosomes were injected into a nude mouse model of esophageal cancer via the tail vein or co-cultured with KYSE-150 cells. Mice were irradiated with a 5 Gy×5fx after completion of injection, and KYSE-150 cells were irradiated with a single dose 4 Gy. After radiation, KYSE-150 cells were used to detect cell cloning, apoptosis and cell cycle by flow cytometry, cell proliferation by CCK 8. XRCC4,XRCC5,XRCC6,γH2AX,ATM expression in cells and tumor tissue were measured by Western blot and RT-PCR. RESULTS The tumor volume was significantly reduced after 5 Gy x 5fx radiation. When exosomes co-cultured with KYSE-150 cells, decrease in apoptosis and increase in cell cloning and cell proliferation were found in the exosomes+radiation group and exosomes group after radiation when compared with the control group, with this change being more pronounced in the exosome+radiation group. The results of the cell cycle assay showed that after ionizing radiation, the proportion of cells in the G0/G1 phase was significantly lower, and the proportion of cells in the S and G2/M phases were significantly higher in the exosomes+radiation group and exosomes group when compared to the Control group. The protein and mRNA expression of XRCC4,XRCC5,XRCC6,γH2AX,ATM in cells were increased in exosomes+radiation group and exosomes group after radiation when compared with the control group, with this change being more obvious in the exosome+radiation group. After irradiation, tumor volumes were measured in nude mice and the results showed that exosomes+radiation group tumors were the largest in volume, while the control group regressed most significantly after irradiation. CONCLUSION MDSC-derived exosomes have a tumor growth-promoting effect in esophageal squamous carcinoma, which is enhanced by ionizing radiation, and this may be related to the accelerated repair of damage in tumor tissue after radiation.
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Affiliation(s)
- R Sun
- Department of Radiotherapy & Oncology, The Third Affiliated Hospital of Soochow University, Chang Zhou, China
| | - K Xi
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - X Song
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - W Yin
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - D Xi
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - Y Shao
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - W Gu
- Department of Oncology Radiotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - J Jiang
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
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Wang X, Zhao Z, Jiang J, Mi R, Guan X, Dong Y, Li S, Chen Z, Gao S, Wang B, Xiao Y, Pan Y, Zhou Z. Temporal stability and assembly mechanisms of gut microbiota in sea cucumbers response to nanoplastics treatment. Ecotoxicol Environ Saf 2023; 264:115407. [PMID: 37639828 DOI: 10.1016/j.ecoenv.2023.115407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/13/2023] [Accepted: 08/23/2023] [Indexed: 08/31/2023]
Abstract
Aquaculture provides essential food for humans, and the health of farmed species is particularly important for the aquaculture industry. Aquaculture environment could be a sink of plastic debris (PDs) due to the enclosed character and heavy use of plastics. Gut microbiota of aquaculture species could respond to the exogenous pollutants and regulate the health of hosts. Here, variations in gut microbiota of Apostichopus japonicus induced by the ingested nanoplastics (NPs) were investigated by a lab experiment. We selected a NPs concentration gradient of 100 mg/kg and 500 mg/kg to simulate microplastic pollution to A. japonicus, and the significant differences in gut microbiota composition after 21 days of NP exposure were evaluated. According to the high-throughput sequencing from time series samples, a decrease of diversity in gut microbiota of A. japonicus with dietary NPs was observed. In addition, the gut microbiota compositions of sea cucumbers with and without NPs exposure were also distinct, expressing as enrichment of Bacteroidota while reducement of Proteobacteria under NPs stresses. Combined the results of network analysis, the less complexity and stability of gut microbiota in sea cucumbers with dietary NPs were proved. Based on the neutral community model, the ingested NPs elevated the contribution of stochastic processes for the gut microbiota assembly in sea cucumbers. Our study showed that substantial variations in gut microbiota of A. japonicus under NPs stresses, and also explored the underlying mechanisms regulating these changes. This research would offer new meaningful insights into the toxicity of NPs on sea cucumbers, contributing a solid fundament to improve the health of sea cucumbers under NPs stresses.
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Affiliation(s)
- Xuda Wang
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Zelong Zhao
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Jingwei Jiang
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Rui Mi
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Xiaoyan Guan
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Ying Dong
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Shilei Li
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Zhong Chen
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Shan Gao
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Bai Wang
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Yao Xiao
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Yongjia Pan
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Zunchun Zhou
- Key Laboratory of Protection and Utilization of Aquatic Germplasm Resources, Ministry of Agriculture and Rural Affairs, Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China.
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Kennedy WR, Chang YW, Jiang J, Molloy J, Pennington-Krygier C, Harmon J, Hong A, Wanebo J, Braun K, Garcia MA, Barani IJ, Yoo W, Tovmasyan A, Tien AC, Li J, Mehta S, Sanai N. A Combined Phase 0/2 "Trigger" Trial Evaluating Pamiparib or Olaparib with Concurrent Radiotherapy in Patients with Newly-Diagnosed or Recurrent Glioblastoma. Int J Radiat Oncol Biol Phys 2023; 117:e115. [PMID: 37784657 DOI: 10.1016/j.ijrobp.2023.06.898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) This study evaluates the pharmacokinetic (PK) and pharmacodynamic (PD) profiles and clinical efficacy of PARP1/2 selective inhibitors, pamiparib and olaparib, in newly-diagnosed or recurrent glioblastoma (GBM) patients in combination with radiotherapy (RT). MATERIALS/METHODS In this combined phase 0/2 trial presumed newly-diagnosed (Arm A) or recurrent (Arm B) GBM patients received 4 days of pamiparib (60 mg BID) prior to resection either 2-4 or 8-12 hours following the final dose. Arm C enrolled patients with recurrent GBM to 4 days of olaparib (200 mg BID) prior to resection. Enhancing and nonenhancing tumor tissue, cerebrospinal fluid (CSF) and plasma were collected. Total and unbound drug concentrations were measured using validated LC-MS/MS methods. A PK 'trigger', defined as unbound drug and gt; 5-fold biochemical IC 50 in nonenhancing tumor, determined eligibility for the therapeutic expansion phase 2. PARP inhibition was assessed via ex vivo radiation and quantification of PAR levels compared to non-radiated control. Newly-diagnosed MGMT unmethylated GBMs and recurrent GBMs exceeding the PK threshold were eligible for an expansion phase of pamiparib (Arms A and B) or olaparib (Arm C) with concurrent RT followed by maintenance pamiparib or olaparib. RT was 60 Gy in 30 fractions in newly-diagnosed patients and 40 Gy in 15 fractions in recurrent patients, delivered using volumetric-modulated arc therapy (VMAT). RESULTS A total of 38 patients (Arm A, n = 16; Arm B, n = 16; Arm C, n = 6) were enrolled in the initial phase 0 study. The mean unbound concentrations of pamiparib in nonenhancing tumor region for Arm A and Arm B were 167.3 nM and 109.4 nM respectively, and in Arm C the mean unbound concentration of olaparib was 5.2 nM. All patients in the pamiparib arms (n = 32/32) but only 1 of 6 patients in the olaparib Arm C exceeded the PK threshold. Radiation-induced PAR expression was 2.44-fold in untreated control vs 1.16 in Arm A (p<0.05), 0.85 in Arm B (p<0.01) and 1.11 in Arm C patients, respectively. In Arm A, 11 patients had unmethylated tumors, and of those, 7 patients enrolled in phase 2. In Arm B, 9 of the 16 clinically eligible patients with positive PK results were enrolled in phase 2. At a median follow-up of 8.4 months [range: 1.3-15.7 months], the median progression-free survival (PFS) was 5.4, 6.0, and 3.8 months for Arms A (n = 7), B (n = 9), and C (n = 1), respectively. Grade 3+ toxicities related to pamiparib occurred in 4 patients, with 2 adverse events resulting in treatment discontinuation. No grade 3+ toxicities were documented in the olaparib arm. CONCLUSION Pamiparib achieved pharmacologically-relevant concentrations in nonenhancing GBM tissue and suppressed induction of PAR levels ex vivo post-radiation. The majority of patients with MGMT-unmethylated GBM advanced to the phase 2 portion of the trial, and pamiparib was generally well-tolerated in these patients.
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Affiliation(s)
- W R Kennedy
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - Y W Chang
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - J Jiang
- Wayne State University, Detroit, MI
| | - J Molloy
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | | | - J Harmon
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - A Hong
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - J Wanebo
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - K Braun
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - M A Garcia
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - I J Barani
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - W Yoo
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - A Tovmasyan
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - A C Tien
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - J Li
- Wayne State University, Detroit, MI
| | - S Mehta
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
| | - N Sanai
- Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ
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31
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Veeraraghavan H, Jiang J, Jee J, Lebow ES, Deasy JO, Rimner A, Shaverdian N, Yu H, Gomez DR. AI Serial Image Prediction of Progression-Free Survival (PFS) for Locally Advanced Non-Small Cell Lung Cancer (LA-NSCLC) Patients Treated with Chemoradiation (CRT) and Durvalumab Consolidation. Int J Radiat Oncol Biol Phys 2023; 117:e68. [PMID: 37786001 DOI: 10.1016/j.ijrobp.2023.06.796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Patient outcomes with definitive CRT for LA-NSCLC remain poor, with no imaging biomarkers to predict benefit. Hence, we developed a serial image AI model using paired planning CT (pCT) and first week cone-beam CT (CBCT) to predict PFS and measured AI model fairness defined as the bias in the classification with respect to gender as a protected attribute. MATERIALS/METHODS Sixty-four consecutive patients with LA-NSCLC treated with concurrent CRT to 60 Gy in 30 fractions and durvalumab consolidation were analyzed. Three prediction models were created. A previously developed AI image foundation model [1] was pre-trained with unlabeled 6,402 3D CT scans sourced from institutional and the Cancer Imaging Archive and modified to predict PFS as a binarized outcome (high PFS > 6 months and low PFS < 6 months) using pCT scans. Serial image AI model was created by adding the first week CBCT scan. The third model measured tumor growth rate (TGR) as relative change in tumor and nodal volume from pCT to CBCT derived using a different published AI model [2]. Association with PFS using univariable and multivariable Cox regression after adjusting for age, gender, planning tumor volume, and smoking status were measured using TGR and the two AI model predictions using a cutoff of > 50% probability for low PFS. AI model fairness metrics area under receiver operating curve (AUROC), precision, sensitivity, and specificity were computed. RESULTS TGR was not associated with PFS on univariate (Hazard ratio [HR] of 1.515, 95% confidence interval [CI] of 0.32 to 7.26, p = 0.60) or multivariate analysis (HR: 1.58, 95% CI: 0.32 to 7.80, p = 0.58) and resulted in a Harrell's C-index of 54.7%. The serial image AI model prediction was associated with PFS in both univariable (HR: 2.12, 95% CI: 1.02 to 4.40, p = 0.045) and multivariable analysis (HR 2.39, 95% CI of 1.09 to 5.25, p = 0.029), and a C-index of 62.5%. The pCT AI model was associated with PFS in univariate (HR 2.06, 95% CI of 1.06 to 4.01, p = 0.034) but not in multivariable analysis (HR 1.89, 95% CI of 0.93 to 3.87, p = 0.08), and a C-index of 59.9%. The serial image AI model reduced the parity in classification compared to pCT AI model indicating higher fairness (Table I). CONCLUSION The multi-image AI model predicted PFS with slightly higher accuracy and resulted in higher fairness than the pCT AI model. These results underscore the potential for incorporating multi-imaging biomarkers to predict treatment response.
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Affiliation(s)
- H Veeraraghavan
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Jiang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Jee
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - E S Lebow
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - A Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - N Shaverdian
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - H Yu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - D R Gomez
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
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Wen EH, Jacobse PH, Jiang J, Wang Z, Louie SG, Crommie MF, Fischer FR. Fermi-Level Engineering of Nitrogen Core-Doped Armchair Graphene Nanoribbons. J Am Chem Soc 2023; 145:19338-19346. [PMID: 37611208 PMCID: PMC10485924 DOI: 10.1021/jacs.3c05755] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Indexed: 08/25/2023]
Abstract
Substitutional heteroatom doping of bottom-up engineered 1D graphene nanoribbons (GNRs) is a versatile tool for realizing low-dimensional functional materials for nanoelectronics and sensing. Previous efforts have largely relied on replacing C-H groups lining the edges of GNRs with trigonal planar N atoms. This type of atomically precise doping, however, only results in a modest realignment of the valence band (VB) and conduction band (CB) energies. Here, we report the design, bottom-up synthesis, and spectroscopic characterization of nitrogen core-doped 5-atom-wide armchair GNRs (N2-5-AGNRs) that yield much greater energy-level shifting of the GNR electronic structure. Here, the substitution of C atoms with N atoms along the backbone of the GNR introduces a single surplus π-electron per dopant that populates the electronic states associated with previously unoccupied bands. First-principles DFT-LDA calculations confirm that a sizable shift in Fermi energy (∼1.0 eV) is accompanied by a broad reconfiguration of the band structure, including the opening of a new band gap and the transition from a direct to an indirect semiconducting band gap. Scanning tunneling spectroscopy (STS) lift-off charge transport experiments corroborate the theoretical results and reveal the relationship among substitutional heteroatom doping, Fermi-level shifting, electronic band structure, and topological engineering for this new N-doped GNR.
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Affiliation(s)
- Ethan
Chi Ho Wen
- Department
of Chemistry, University of California, Berkeley, California 94720, United States
| | - Peter H. Jacobse
- Department
of Physics, University of California, Berkeley, California 94720, United States
| | - Jingwei Jiang
- Department
of Physics, University of California, Berkeley, California 94720, United States
- Materials
Sciences Division, Lawrence Berkeley National
Laboratory, Berkeley, California 94720, United States
| | - Ziyi Wang
- Department
of Physics, University of California, Berkeley, California 94720, United States
- Materials
Sciences Division, Lawrence Berkeley National
Laboratory, Berkeley, California 94720, United States
| | - Steven G. Louie
- Department
of Physics, University of California, Berkeley, California 94720, United States
- Materials
Sciences Division, Lawrence Berkeley National
Laboratory, Berkeley, California 94720, United States
| | - Michael F. Crommie
- Department
of Physics, University of California, Berkeley, California 94720, United States
- Materials
Sciences Division, Lawrence Berkeley National
Laboratory, Berkeley, California 94720, United States
- Kavli
Energy NanoSciences Institute at the University of California Berkeley
and the Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Felix R. Fischer
- Department
of Chemistry, University of California, Berkeley, California 94720, United States
- Materials
Sciences Division, Lawrence Berkeley National
Laboratory, Berkeley, California 94720, United States
- Kavli
Energy NanoSciences Institute at the University of California Berkeley
and the Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
- Bakar
Institute of Digital Materials for the Planet, Division of Computing,
Data Science, and Society, University of
California, Berkeley, California 94720, United States
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Lei M, Harn HIC, Li Q, Jiang J, Wu W, Zhou W, Jiang TX, Wang M, Zhang J, Lai YC, Juan WT, Widelitz RB, Yang L, Gu ZZ, Chuong CM. The mechano-chemical circuit drives skin organoid self-organization. Proc Natl Acad Sci U S A 2023; 120:e2221982120. [PMID: 37643215 PMCID: PMC10483620 DOI: 10.1073/pnas.2221982120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 07/28/2023] [Indexed: 08/31/2023] Open
Abstract
Stem cells in organoids self-organize into tissue patterns with unknown mechanisms. Here, we use skin organoids to analyze this process. Cell behavior videos show that the morphological transformation from multiple spheroidal units with morphogenesis competence (CMU) to planar skin is characterized by two abrupt cell motility-increasing events before calming down. The self-organizing processes are controlled by a morphogenetic module composed of molecular sensors, modulators, and executers. Increasing dermal stiffness provides the initial driving force (driver) which activates Yap1 (sensor) in epidermal cysts. Notch signaling (modulator 1) in epidermal cyst tunes the threshold of Yap1 activation. Activated Yap1 induces Wnts and MMPs (epidermal executers) in basal cells to facilitate cellular flows, allowing epidermal cells to protrude out from the CMU. Dermal cell-expressed Rock (dermal executer) generates a stiff force bridge between two CMU and accelerates tissue mixing via activating Laminin and β1-integrin. Thus, this self-organizing coalescence process is controlled by a mechano-chemical circuit. Beyond skin, self-organization in organoids may use similar mechano-chemical circuit structures.
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Affiliation(s)
- Mingxing Lei
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing400044, China
- Integrative Stem Cell Center, China Medical University Hospital, China Medical University, Taichung40402, Taiwan
| | - Hans I-Chen Harn
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA90033
| | - Qiwei Li
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing210096, China
| | - Jingwei Jiang
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing400044, China
| | - Wang Wu
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing400044, China
| | - Wei Zhou
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing400030, China
| | - Tin-Xin Jiang
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA90033
| | - Mengyue Wang
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing400044, China
| | - Jinwei Zhang
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing400044, China
| | - Yung-Chih Lai
- Integrative Stem Cell Center, China Medical University Hospital, China Medical University, Taichung40402, Taiwan
| | - Wen-Tau Juan
- Integrative Stem Cell Center, China Medical University Hospital, China Medical University, Taichung40402, Taiwan
| | - Randall Bruce Widelitz
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA90033
| | - Li Yang
- Key Laboratory of Biorheological Science and Technology of Ministry of Education & 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing400044, China
| | - Zhong-Ze Gu
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing210096, China
| | - Cheng-Ming Chuong
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA90033
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Zhang M, Wang M, Jiang J, Liu W, Zhou S, Wang D, Wang M, Zhao Z, Xu Z, Wu W, Lin X, Zhang J, Xu W, Tang Q, Zhan R, Liu W, Yang L, Zhou X, Zhou W, Lei M. COX2-ATP Synthase Regulates Spine Follicle Size in Hedgehogs. Int J Biol Sci 2023; 19:4763-4777. [PMID: 37781513 PMCID: PMC10539703 DOI: 10.7150/ijbs.83387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 08/26/2023] [Indexed: 10/03/2023] Open
Abstract
Skin evolves essential appendages with adaptive patterns that synergistically insulate the body from environmental insults. How similar appendages in different animals generate diversely-sized appendages remain elusive. Here we used hedgehog spine follicles and mouse hair follicles as models to investigate how similar follicles form in different sizes postnatally. Histology and immunostaining show that the spine follicles have a significantly greater size than the hair follicles. By RNA-sequencing analysis, we found that ATP synthases are highly expressed in hedgehog skin compared to mouse skin. Inhibition of ATP synthase resulted in smaller spine follicle formation during regeneration. We also identified that the mitochondrial gene COX2 functions upstream of ATP synthase that influences energy metabolism and cell proliferation to control the size of the spine follicles. Our study identified molecules that function differently in forming diversely-sized skin appendages across different animals, allowing them to adapt to the living environment and benefit from self-protection.
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Affiliation(s)
- Man Zhang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Mengyue Wang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Jingwei Jiang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Weiwei Liu
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Siyi Zhou
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Dehuan Wang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Miaomiao Wang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Zixian Zhao
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Zhiling Xu
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Wang Wu
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
- Three Gorges Hospital, Chongqing University, Chongqing 404000, China
| | - Xia Lin
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
- Three Gorges Hospital, Chongqing University, Chongqing 404000, China
| | - Jinwei Zhang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
- Department of Dermatology and Cosmetology, The First Affiliated Hospital of Chongqing College of Traditional Chinese Medicine, Chongqing 400021, China
| | - Wei Xu
- Department of Dermatology and Cosmetology, The First Affiliated Hospital of Chongqing College of Traditional Chinese Medicine, Chongqing 400021, China
| | - Qu Tang
- Three Gorges Hospital, Chongqing University, Chongqing 404000, China
| | - Rixing Zhan
- Institute of Burn Research, State Key Laboratory of Trauma, Burn and Combined Injury, Southwest Hospital, The Third Military Medical University, Chongqing 400038, China
| | - Wanqian Liu
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Li Yang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Xun Zhou
- Department of Dermatology and Cosmetology, The First Affiliated Hospital of Chongqing College of Traditional Chinese Medicine, Chongqing 400021, China
| | - Wei Zhou
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China
| | - Mingxing Lei
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
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Balapattabi K, Yavuz Y, Jiang J, Deng G, Mathieu NM, Ritter ML, Opichka MA, Reho JJ, McCorvy JD, Nakagawa P, Morselli LL, Mouradian GC, Atasoy D, Cui H, Hodges MR, Sigmund CD, Grobe JL. Angiotensin AT 1A receptor signal switching in Agouti-related peptide neurons mediates metabolic rate adaptation during obesity. Cell Rep 2023; 42:112935. [PMID: 37540598 PMCID: PMC10530419 DOI: 10.1016/j.celrep.2023.112935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/26/2023] [Accepted: 07/18/2023] [Indexed: 08/06/2023] Open
Abstract
Resting metabolic rate (RMR) adaptation occurs during obesity and is hypothesized to contribute to failed weight management. Angiotensin II (Ang-II) type 1 (AT1A) receptors in Agouti-related peptide (AgRP) neurons contribute to the integrative control of RMR, and deletion of AT1A from AgRP neurons causes RMR adaptation. Extracellular patch-clamp recordings identify distinct cellular responses of individual AgRP neurons from lean mice to Ang-II: no response, inhibition via AT1A and Gαi, or stimulation via Ang-II type 2 (AT2) receptors and Gαq. Following diet-induced obesity, a subset of Ang-II/AT1A-inhibited AgRP neurons undergo a spontaneous G-protein "signal switch," whereby AT1A stop inhibiting the cell via Gαi and instead begin stimulating the cell via Gαq. DREADD-mediated activation of Gαi, but not Gαq, in AT1A-expressing AgRP cells stimulates RMR in lean and obese mice. Thus, loss of AT1A-Gαi coupling within the AT1A-expressing AgRP neuron subtype represents a molecular mechanism contributing to RMR adaptation.
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Affiliation(s)
| | - Yavuz Yavuz
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; Fraternal Order of Eagles Diabetes Research Center, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; Iowa Neuroscience Institute, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Jingwei Jiang
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Guorui Deng
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Natalia M Mathieu
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - McKenzie L Ritter
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Megan A Opichka
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - John J Reho
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Comprehensive Rodent Metabolic Phenotyping Core, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - John D McCorvy
- Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Neuroscience Research Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Pablo Nakagawa
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Neuroscience Research Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Cardiovascular Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Lisa L Morselli
- Cardiovascular Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Department of Medicine, Division of Endocrinology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Gary C Mouradian
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Neuroscience Research Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Cardiovascular Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Deniz Atasoy
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; Fraternal Order of Eagles Diabetes Research Center, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; Iowa Neuroscience Institute, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Huxing Cui
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; Fraternal Order of Eagles Diabetes Research Center, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA; Iowa Neuroscience Institute, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Matthew R Hodges
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Neuroscience Research Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Curt D Sigmund
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Neuroscience Research Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Cardiovascular Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Justin L Grobe
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Comprehensive Rodent Metabolic Phenotyping Core, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Neuroscience Research Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Cardiovascular Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
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Wu X, Wu F, Jiang J, Yang L, He WW, Li N, Zhang K, Chen L, Ren SF, Wu J. [Comparison of long-term clinical outcomes between transvaginal mesh and pelvic floor reconstruction with native tissue repair in the treatment of advanced pelvic organ prolapse]. Zhonghua Fu Chan Ke Za Zhi 2023; 58:595-602. [PMID: 37599257 DOI: 10.3760/cma.j.cn112141-20230316-00123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Objective: To study the long-term clinical effect of transvaginal mesh (TVM) and pelvic floor reconstruction with native tissue repair (NTR) in the treatment of advanced pelvic organ prolapse (POP). Methods: Totally 207 patients with advanced POP who were treated in Hunan Provincial Maternal and Child Health Care Hospital from Jan. 2016 to Sep. 2019 were enrolled. The patient's pelvic organ prolapse quantification were all at degree Ⅲ or above, and they all complained for different degree of symptoms. They were divided into two groups according to the different surgical methods, TVM group and NTR group. In TVM group, the mesh was implanted through the vagina for pelvic floor reconstruction, while in NTR group, the traditional transvaginal hysterectomy combined with uterosacral ligament suspension and anterior and posterior wall repair, as well as perineal body repair were performed. The median follow-up time was 60 months, during the follow up time, 164 cases (79.2%, 164/207) had completed follow-up, including 76 cases in TVM group and 88 cases in NTR group. The perioperative data and complication rates of the two groups were compared, and the subjective and objective outcomes of the two groups at 1, 3 and 5 years were observed, respectively. The objective efficacy was evaluated by three composite criteria, namely: (1) the distance from the farthest end of the prolapse of the anterior and posterior wall of the vagina to the hymen is ≤0 cm, and the descending distance of the top is ≤1/2 of the total length of the vagina; (2) determine the disappearance of relevant POP symptoms according to "Do you often see or feel vaginal mass prolapse?"; (3) no further operation or pessary treatment was performed due to prolapse. If the above three criteria were met at the same time, the operation is successful; otherwise, it was recurrence. The subjective efficacy was evaluated by the pelvic floor distress inventory-short form 20 (PFDI-20) and pelvic floor impact questionnaire-short form 7 (PFIQ-7). Results: The median follow-up time of the two groups was 60 months (range: 41-82 months). Five years after the operation, the subjective and objective cure rates of TVM group were 89.5% (68/76) and 94.7% (72/76), respectively. The subjective and objective cure rates in NTR group were 80.7% (71/88) and 85.2% (75/88), respectively. There were significant differences in the subjective and objective cure rates between the two groups (χ2=9.869, P=0.002; χ2=3.969, P=0.046). The recurrence rate of TVM group was 5.3% (4/76), and that of NTR group was 14.8% (13/88). There was a significant difference between the two groups (P=0.046). The postoperative PFDI-20 and PFIQ-7 scores of the two groups were significantly lower than those before surgery, and there were significant differences of the two groups before and after surgery (all P<0.05). Postoperative mesh exposure in TVM group was 1.3% (1/76). Conclusions: The long-term outcomes between the two groups show that the subjective and objective outcomes of pelvic floor reconstruction in TVM group are significantly higher than those in NTR group, and the recurrence rate is significantly lower than that in NTR group. TVM has certain advantages in the treatment of advanced POP.
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Affiliation(s)
- X Wu
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - F Wu
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - J Jiang
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - L Yang
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - W W He
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - N Li
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - K Zhang
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - L Chen
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - S F Ren
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
| | - J Wu
- Department of Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, China
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37
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Tang HL, Jiang J, Yu WN, Zhao LL, Fan Q, Wang FY, Pan XH. [A clustered epidemic investigation of non-marital non-commercial heterosexual contact of HIV in Zhejiang Province]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1270-1275. [PMID: 37661620 DOI: 10.3760/cma.j.cn112338-20230203-00056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Objective: To identify the transmission relationship between HIV infection cases the non-marital non-commercial heterosexual contact in Zhejiang Province. Methods: When HIV positive was informed during January 2020 to January 2022, the staff conducted an epidemiological investigation to collect cases information on sociodemographic characteristics, mobility information, past HIV testing history, high-risk sexual behaviors, sexual partners, and etcetera. At the same time, 6-8 ml of blood from the new diagnosis of people infected with HIV before antiviral treatment was collected to separate the bleeding plasma. pol gene was amplified by nucleic acid extraction and PCR, sequenced by Sequencer 5.0 software, and Cytoscape 3.6.0 software was used to draw HIV molecular transmission network. Results: From January 2020 to January 2022, 88 HIV infected individuals were found in Pujiang County, of which 74 were transmitted through heterosexual transmission, of which 31 were infected through non-marital non-commercial heterosexual contact. Preliminary case studies have found that three female cases have engaged in unprotected non-marital non-commercial heterosexual contact with one male case. Among the 4 infected individuals, 2 of their spouses tested positive for HIV antibodies. Molecular transmission network monitoring was carried out on 65 newly diagnosed cases of heterosexual transmission with acquired sequences, forming 9 transmission clusters. The largest cluster contained 10 cases. A total of 11 HIV-infected individuals were involved in this HIV cluster epidemic. They were 3 males and 8 females, all over 50 years old and were farmers or rural housewives. They were traced to 7 sexual partners (6 negatives of HIV, 1 undetected). Among the 18 respondents' sexual social network relationships, there were 6 couples, 8 permanent partners, and 3 temporary partners. Among 11 HIV infected individuals, there were 9 cases of non-marital non-commercial heterosexual transmission and 2 cases of intramarital transmission. The epidemiological association between 7 non-married non-commercial heterosexual partners and case 2 (56-year-old male farmer), 3 cases confirmed by epidemiological investigation and molecular transmission cluster results, 3 cases confirmed by molecular transmission cluster and epidemiological investigation results, and 1 case confirmed by epidemiological investigation results. Conclusions: The transmission mode of this cluster epidemic was to spread HIV through heterosexual sex with a male case as the core, then cause the transmission within marriage and between fixed sexual partners. The combination of epidemiological investigation and molecular transmission network traceability survey supports the conclusion of this study.
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Affiliation(s)
- H L Tang
- Jinhua Center for Disease Control and Prevention, Jinhua 321002, China Zhejiang Association of STD/AIDS Prevention and Control, Hangzhou 310051, China
| | - J Jiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - W N Yu
- Pujiang County Center for Disease Control and Prevention of Zhejiang Province, Pujiang 322200, China
| | - L L Zhao
- Pujiang County Center for Disease Control and Prevention of Zhejiang Province, Pujiang 322200, China
| | - Q Fan
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - F Y Wang
- Jinhua Center for Disease Control and Prevention, Jinhua 321002, China Zhejiang Association of STD/AIDS Prevention and Control, Hangzhou 310051, China
| | - X H Pan
- Zhejiang Association of STD/AIDS Prevention and Control, Hangzhou 310051, China Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
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38
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McCurdy RD, Delgado A, Jiang J, Zhu J, Wen ECH, Blackwell RE, Veber GC, Wang S, Louie SG, Fischer FR. Engineering Robust Metallic Zero-Mode States in Olympicene Graphene Nanoribbons. J Am Chem Soc 2023. [PMID: 37428750 PMCID: PMC10360063 DOI: 10.1021/jacs.3c01576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Abstract
Metallic graphene nanoribbons (GNRs) represent a critical component in the toolbox of low-dimensional functional materials technology serving as 1D interconnects capable of both electronic and quantum information transport. The structural constraints imposed by on-surface bottom-up GNR synthesis protocols along with the limited control over orientation and sequence of asymmetric monomer building blocks during the radical step-growth polymerization have plagued the design and assembly of metallic GNRs. Here, we report the regioregular synthesis of GNRs hosting robust metallic states by embedding a symmetric zero-mode (ZM) superlattice along the backbone of a GNR. Tight-binding electronic structure models predict a strong nearest-neighbor electron hopping interaction between adjacent ZM states, resulting in a dispersive metallic band. First-principles density functional theory-local density approximation calculations confirm this prediction, and the robust, metallic ZM band of olympicene GNRs is experimentally corroborated by scanning tunneling spectroscopy.
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Affiliation(s)
- Ryan D McCurdy
- Department of Chemistry, University of California, Berkeley, California 94720, United States
| | - Aidan Delgado
- Department of Chemistry, University of California, Berkeley, California 94720, United States
| | - Jingwei Jiang
- Department of Physics, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Junmian Zhu
- Department of Chemistry, University of California, Berkeley, California 94720, United States
| | - Ethan Chi Ho Wen
- Department of Chemistry, University of California, Berkeley, California 94720, United States
| | - Raymond E Blackwell
- Department of Chemistry, University of California, Berkeley, California 94720, United States
| | - Gregory C Veber
- Department of Chemistry, University of California, Berkeley, California 94720, United States
| | - Shenkai Wang
- Department of Chemistry, University of California, Berkeley, California 94720, United States
| | - Steven G Louie
- Department of Physics, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Felix R Fischer
- Department of Chemistry, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
- Kavli Energy NanoSciences Institute at the University of California Berkeley and the Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
- Bakar Institute of Digital Materials for the Planet, Division of Computing, Data Science, and Society, University of California, Berkeley, California 94720, United States
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Zhao Z, Wang X, Jiang J, Dong Y, Pan Y, Guan X, Wang B, Gao S, Chen Z, Zhou Z. Adverse effects of polystyrene nanoplastics on sea cucumber Apostichopus japonicus and their association with gut microbiota dysbiosis. Chemosphere 2023; 330:138568. [PMID: 37019397 DOI: 10.1016/j.chemosphere.2023.138568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 03/22/2023] [Accepted: 03/31/2023] [Indexed: 05/14/2023]
Abstract
The mariculture environment is a sink of microplastics (MPs) due to its enclosed nature and mass use of plastics. Nanoplastics (NPs) are MPs with a diameter <1 μm that have a more toxic effect on aquatic organisms than other MPs. However, little is known about the underlying mechanisms of NP toxicity on mariculture species. Here, we performed a multi-omics investigation to explore gut microbiota dysbiosis and associated health problems induced by NPs in juvenile sea cucumber Apostichopus japonicus, a commercially and ecologically important marine invertebrate. We observed significant differences in gut microbiota composition after 21 days of NP exposure. Ingestion of NPs significantly increased core gut microbes, especially Rhodobacteraceae and Flavobacteriaceae families. Additionally, gut gene expression profiles were altered by NPs, especially those related to neurological diseases and movement disorders. Correlation and network analyses indicated close relationships between transcriptome changes and gut microbiota variation. Furthermore, NPs induced oxidative stress in sea cucumber intestines, which may be associated with intraspecies variation in Rhodobacteraceae in the gut microbiota. The results suggested that NPs were harmful to the health of sea cucumbers, and they highlighted the importance of the gut microbiota in the responses to NP toxicity in marine invertebrates.
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Affiliation(s)
- Zelong Zhao
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Xuda Wang
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Jingwei Jiang
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China.
| | - Ying Dong
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Yongjia Pan
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Xiaoyan Guan
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Bai Wang
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Shan Gao
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Zhong Chen
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China
| | - Zunchun Zhou
- Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic Animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning 116023, PR China.
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Xie XJ, Chen JY, Jiang J, Duan H, Wu Y, Zhang XW, Yang SJ, Zhao W, Shen SS, Wu L, He B, Ding YY, Luo H, Liu SY, Han D. [Development and validation of prognostic nomogram for malignant pleural mesothelioma]. Zhonghua Zhong Liu Za Zhi 2023; 45:415-423. [PMID: 37188627 DOI: 10.3760/cma.j.cn12152-20211124-00871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Objective: To development the prognostic nomogram for malignant pleural mesothelioma (MPM). Methods: Two hundred and ten patients pathologically confirmed as MPM were enrolled in this retrospective study from 2007 to 2020 in the People's Hospital of Chuxiong Yi Autonomous Prefecture, the First and Third Affiliated Hospital of Kunming Medical University, and divided into training (n=112) and test (n=98) sets according to the admission time. The observation factors included demography, symptoms, history, clinical score and stage, blood cell and biochemistry, tumor markers, pathology and treatment. The Cox proportional risk model was used to analyze the prognostic factors of 112 patients in the training set. According to the results of multivariate Cox regression analysis, the prognostic prediction nomogram was established. C-Index and calibration curve were used to evaluate the model's discrimination and consistency in raining and test sets, respectively. Patients were stratified according to the median risk score of nomogram in the training set. Log rank test was performed to compare the survival differences between the high and low risk groups in the two sets. Results: The median overall survival (OS) of 210 MPM patients was 384 days (IQR=472 days), and the 6-month, 1-year, 2-year, and 3-year survival rates were 75.7%, 52.6%, 19.7%, and 13.0%, respectively. Cox multivariate regression analysis showed that residence (HR=2.127, 95% CI: 1.154-3.920), serum albumin (HR=1.583, 95% CI: 1.017-2.464), clinical stage (stage Ⅳ: HR=3.073, 95% CI: 1.366-6.910) and the chemotherapy (HR=0.476, 95% CI: 0.292-0.777) were independent prognostic factors for MPM patients. The C-index of the nomogram established based on the results of Cox multivariate regression analysis in the training and test sets were 0.662 and 0.613, respectively. Calibration curves for both the training and test sets showed moderate consistency between the predicted and actual survival probabilities of MPM patients at 6 months, 1 year, and 2 years. The low-risk group had better outcomes than the high-risk group in both training (P=0.001) and test (P=0.003) sets. Conclusion: The survival prediction nomogram established based on routine clinical indicators of MPM patients provides a reliable tool for prognostic prediction and risk stratification.
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Affiliation(s)
- X J Xie
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - J Y Chen
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Kunming 650106, China
| | - J Jiang
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - H Duan
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Y Wu
- Department of Radiology, Chuxiong People's Hospital, Chuxiong 675099, China
| | - X W Zhang
- Department of Radiology, Chuxiong People's Hospital, Chuxiong 675099, China
| | - S J Yang
- Department of Thoracic Surgery, Chuxiong People's Hospital, Chuxiong 675099, China
| | - W Zhao
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - S S Shen
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - L Wu
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - B He
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Y Y Ding
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Kunming 650106, China
| | - H Luo
- Deputy President's Office, Chuxiong People's Hospital, Chuxiong 675099, China
| | - S Y Liu
- GE Healthcare (China), Beijing 100176, China
| | - D Han
- Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
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41
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Wang M, Zhou X, Zhou S, Wang M, Jiang J, Wu W, Liu T, Xu W, Zhang J, Liu D, Zou Y, Qiu W, Zhang M, Liu W, Li Z, Wang D, Li T, Li J, Liu W, Yang L, Lei M. Mechanical force drives the initial mesenchymal-epithelial interaction during skin organoid development. Theranostics 2023; 13:2930-2945. [PMID: 37284452 PMCID: PMC10240816 DOI: 10.7150/thno.83217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 04/25/2023] [Indexed: 06/08/2023] Open
Abstract
Rationale: Stem cells self-organize to form organoids that generate mini-organs that resemble the physiologically-developed ones. The mechanism by which the stem cells acquire the initial potential for generating mini-organs remains elusive. Here we used skin organoids as an example to study how mechanical force drives initial epidermal-dermal interaction which potentiates skin organoids to regenerate hair follicles. Methods: Live imaging analysis, single-cell RNA-sequencing analysis, and immunofluorescence were used to analyze the contractile force of dermal cells in skin organoids. Bulk RNA-sequencing analysis, calcium probe detection, and functional perturbations were used to verify that calcium signaling pathways respond to the contractile force of dermal cells. In vitro mechanical loading experiment was used to prove that the stretching force triggers the epidermal Piezo1 expression which negatively regulates dermal cell attachment. Transplantation assay was used to test the regenerative ability of skin organoids. Results: We found that dermal cell-derived contraction force drives the movement of dermal cells surrounding the epidermal aggregates to trigger initial mesenchymal-epithelial interaction (MEI). In response to dermal cell contraction force, the arrangement of the dermal cytoskeleton was negatively regulated by the calcium signaling pathway which further influences dermal-epidermal attachment. The native contraction force generated from the dermal cell movement exerts a stretching force on the adjacent epidermal cells, activating the stretching force sensor Piezo1 in the epidermal basal cells during organoid culture. Epidermal Piezo1 in turn drives strong MEI to negatively regulate dermal cell attachment. Proper initial MEI by mechanical-chemical coupling during organoid culture is required for hair regeneration upon transplantation of the skin organoids into the back of the nude mice. Conclusion: Our study demonstrated that mechanical-chemical cascade drives the initial event of MEI during skin organoid development, which is fundamental to the organoid, developmental, and regenerative biology fields.
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Affiliation(s)
- Mengyue Wang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Xun Zhou
- Department of Dermatology and Cosmetology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, China
| | - Siyi Zhou
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Miaomiao Wang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Jingwei Jiang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Wang Wu
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
- Three Gorges Hospital, Chongqing University, Chongqing 404000, China
| | - Tiantian Liu
- Three Gorges Hospital, Chongqing University, Chongqing 404000, China
| | - Wei Xu
- Department of Dermatology and Cosmetology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, China
| | - Jinwei Zhang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
- Department of Dermatology and Cosmetology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, China
| | - Deming Liu
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
- Department of Dermatology and Cosmetology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400021, China
| | - Yi Zou
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
- Department of Burns and Plastic Surgery, Wuhan General Hospital of Chinese People's Liberation Army, Wuhan 430000, China
| | - Weiming Qiu
- Department of Burns and Plastic Surgery, Wuhan General Hospital of Chinese People's Liberation Army, Wuhan 430000, China
| | - Man Zhang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Weiwei Liu
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Zeming Li
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Dehuan Wang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Tingting Li
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Ji Li
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Wanqian Liu
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Li Yang
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Mingxing Lei
- 111 Project Laboratory of Biomechanics and Tissue Repair & Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China
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Singh U, Saito K, Khan MZ, Jiang J, Toth BA, Rodeghiero SR, Dickey JE, Deng Y, Deng G, Kim YC, Cui H. Collateralizing ventral subiculum melanocortin 4 receptor circuits regulate energy balance and food motivation. Physiol Behav 2023; 262:114105. [PMID: 36736416 PMCID: PMC9981473 DOI: 10.1016/j.physbeh.2023.114105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/16/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023]
Abstract
Hippocampal dysfunction is associated with major depressive disorder, a serious mental illness characterized by not only depressed mood but also appetite disturbance and dysregulated body weight. However, the underlying mechanisms by which hippocampal circuits regulate metabolic homeostasis remain incompletely understood. Here we show that collateralizing melanocortin 4 receptor (MC4R) circuits in the ventral subiculum (vSUB), one of the major output structures of the hippocampal formation, affect food motivation and energy balance. Viral-mediated cell type- and projection-specific input-output circuit mapping revealed that the nucleus accumbens shell (NAcSh)-projecting vSUBMC4R+ neurons send extensive collateral projections of to various hypothalamic nuclei known to be important for energy balance, including the arcuate, ventromedial and dorsomedial nuclei, and receive monosynaptic inputs mainly from the ventral CA1 and the anterior paraventricular nucleus of thalamus. Chemogenetic activation of NAcSh-projecting vSUBMC4R+neurons lead to increase in motivation to obtain palatable food without noticeable effect on homeostatic feeding. Viral-mediated restoration of MC4R signaling in the vSUB partially restores obesity in MC4R-null mice without affecting anxiety- and depression-like behaviors. Collectively, these results delineate vSUBMC4R+ circuits to the unprecedented level of precision and identify the vSUBMC4R signaling as a novel regulator of food reward and energy balance.
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Affiliation(s)
- Uday Singh
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA, United States
| | - Kenji Saito
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA, United States
| | - Michael Z. Khan
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, United States
| | - Jingwei Jiang
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA, United States
| | - Brandon A. Toth
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA, United States
| | - Samuel R. Rodeghiero
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA, United States
| | - Jacob E. Dickey
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA, United States
| | - Yue Deng
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA, United States
| | - Guorui Deng
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA, United States
| | - Young-Cho Kim
- Department of Neurology, University of Iowa Carver College of Medicine, Iowa City, IA, United States
| | - Huxing Cui
- Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA, United States; Iowa Neuroscience Institute, University of Iowa Carver College of Medicine, Iowa City, IA, United States; F.O.E. Diabetes Research Center, University of Iowa Carver College of Medicine, Iowa City, IA, United States.
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Chen H, Lin M, Jiang J, Liu M, Lai Z, Luo Y, Ye H, Chen H, Yang Z. 25P Furmonertinib plus icotinib for first-line treatment of EGFR-mutated non-small cell lung cancer. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00279-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Jiang J, Jain P, Adji A, Barua S, Hayward C. Afterload and LV Function, but Not Circuit Flow, Determine LV Filling Pressure During VA-ECMO. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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Jiang J, Jain P, Adji A, Barua S, Hayward C. Determinants of LV Filling Pressure During ECPR with VA-ECMO: A Mock Circulatory Loop Study. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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46
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Zhang H, Jiang J, He X, Zhou Q. Circ_0002111/miR-134-5p/FSTL1 signal axis regulates tumor progression and glycolytic metabolism in papillary thyroid carcinoma cells. J Endocrinol Invest 2023; 46:713-725. [PMID: 36227499 DOI: 10.1007/s40618-022-01921-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 09/11/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Circular RNAs (circRNAs) have essential roles in the malignant progression of papillary thyroid carcinoma (PTC). Circ_0002111 was reported to facilitate cell proliferation and invasion abilities in PTC. This study was performed to explore the regulatory mechanism of circ_0002111 in PTC progression. METHODS Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used for the level detection of circ_0002111, microRNA-134-5p (miR-134-5p) and Follistatin Like 1 (FSTL1). Cell proliferation was assessed by 3-(4, 5-dimethylthiazol-2-y1)-2, 5-diphenyl tetrazolium bromide (MTT) assay, EdU assay and colony formation assay. Cell migration ability was determined by transwell assay. Glycolysis was analyzed by extracellular acidification rate (ECAR), oxygen consumption rate (OCR), glucose consumption and lactate production. The protein quantification was performed through western blot. Xenograft tumor assay was used for the functional analysis of circ_0002111 in vivo. The target interaction was confirmed by dual-luciferase reporter assay and RNA pull-down assay. RESULTS The significant upregulation of circ_0002111 was detected in PTC samples and cells. PTC cell proliferation, migration and glycolytic metabolism were suppressed after circ_0002111 downregulation. PTC tumorigenesis in vivo was also inhibited by circ_0002111 knockdown. In addition, circ_0002111 could target miR-134-5p and si-circ_0002111#1-induced inhibition of PTC progression was relieved by miR-134-5p expression downregulation. Furthermore, FSTL1 was a target gene for miR-134-5p and miR-134-5p served as a tumor repressor in PTC by targeting FSTL1. Moreover, circ_0002111 could increase the FSTL1 level via sponging miR-134-5p. CONCLUSION All results indicated that circ_0002111 promoted the malignant behaviors of PTC cells partly by regulating the miR-134-5p/FSTL1 molecular network.
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Affiliation(s)
- H Zhang
- Department of Ultrasound, The second affiliated hospital of Xi'an Jiaotong University, NO. 157 West Fifth Road, Xi'an, 710004, Shaanxi, China
| | - J Jiang
- Department of Ultrasound, The second affiliated hospital of Xi'an Jiaotong University, NO. 157 West Fifth Road, Xi'an, 710004, Shaanxi, China
| | - X He
- Department of Ultrasound, The second affiliated hospital of Xi'an Jiaotong University, NO. 157 West Fifth Road, Xi'an, 710004, Shaanxi, China
| | - Q Zhou
- Department of Ultrasound, The second affiliated hospital of Xi'an Jiaotong University, NO. 157 West Fifth Road, Xi'an, 710004, Shaanxi, China.
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Wang DY, Jiang J, Zhao KK. [HBV infection: antiviral therapy for viral replication]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:316-318. [PMID: 37137860 DOI: 10.3760/cma.j.cn501113-20220328-00147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Affiliation(s)
- D Y Wang
- Department of Infectious Diseases, the First Affiliated Hospital of Ningbo University, Ningbo 315020, China
| | - J Jiang
- Department of Infectious Diseases, the First Affiliated Hospital of Ningbo University, Ningbo 315020, China
| | - K K Zhao
- Department of Infectious Diseases, the First Affiliated Hospital of Ningbo University, Ningbo 315020, China
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Mu N, Rezaeitaleshmahalleh M, Lyu Z, Wang M, Tang J, Strother CM, Gemmete JJ, Pandey AS, Jiang J. Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms? Biomed Phys Eng Express 2023; 9:037001. [PMID: 36626819 PMCID: PMC9999353 DOI: 10.1088/2057-1976/acb1b3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 01/04/2023] [Accepted: 01/10/2023] [Indexed: 01/11/2023]
Abstract
Although applying machine learning (ML) algorithms to rupture status assessment of intracranial aneurysms (IA) has yielded promising results, the opaqueness of some ML methods has limited their clinical translation. We presented the first explainability comparison of six commonly used ML algorithms: multivariate logistic regression (LR), support vector machine (SVM), random forest (RF), extreme gradient boosting (XGBoost), multi-layer perceptron neural network (MLPNN), and Bayesian additive regression trees (BART). A total of 112 IAs with known rupture status were selected for this study. The ML-based classification used two anatomical features, nine hemodynamic parameters, and thirteen morphologic variables. We utilized permutation feature importance, local interpretable model-agnostic explanations (LIME), and SHapley Additive exPlanations (SHAP) algorithms to explain and analyze 6 Ml algorithms. All models performed comparably: LR area under the curve (AUC) was 0.71; SVM AUC was 0.76; RF AUC was 0.73; XGBoost AUC was 0.78; MLPNN AUC was 0.73; BART AUC was 0.73. Our interpretability analysis demonstrated consistent results across all the methods; i.e., the utility of the top 12 features was broadly consistent. Furthermore, contributions of 9 important features (aneurysm area, aneurysm location, aneurysm type, wall shear stress maximum during systole, ostium area, the size ratio between aneurysm width, (parent) vessel diameter, one standard deviation among time-averaged low shear area, and one standard deviation of temporally averaged low shear area less than 0.4 Pa) were nearly the same. This research suggested that ML classifiers can provide explainable predictions consistent with general domain knowledge concerning IA rupture. With the improved understanding of ML algorithms, clinicians' trust in ML algorithms will be enhanced, accelerating their clinical translation.
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Affiliation(s)
- N Mu
- Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America
| | - M Rezaeitaleshmahalleh
- Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America
| | - Z Lyu
- Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America
| | - M Wang
- Department of Management Science and Statistics, The University of Texas at San Antonio, San Antonino, TX, United States of America
| | - J Tang
- Department of Health Administration and Policy, George Mason University, Fairfax, VA, United States of America
| | - C M Strother
- Department of Radiology, University of Wisconsin, Madison, WI, United States of America
| | - J J Gemmete
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States of America
| | - A S Pandey
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, United States of America
| | - J Jiang
- Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America
- Center for Biocomputing and Digital Health, Health Research Institute and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, MI, United States of America
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Jiang J, Liang P, Li A, Xue Q, Yu H, You Z. Synthesis, Crystal Structures and Urease Inhibition of Zinc(II) and Copper(II) Complexes Derived from 2-Amino-N′-(1-(Pyridin-2-yl) Ethylidene)Benzohydrazide. J STRUCT CHEM+ 2023. [DOI: 10.1134/s0022476623030034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
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50
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Pan S, Wang F, Jiang J, Lin Z, Chen Z, Cao T, Yang L. Chimeric Antigen Receptor-Natural Killer Cells: A New Breakthrough in the Treatment of Solid Tumours. Clin Oncol (R Coll Radiol) 2023; 35:153-162. [PMID: 36437159 DOI: 10.1016/j.clon.2022.10.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 09/30/2022] [Accepted: 10/26/2022] [Indexed: 11/25/2022]
Abstract
Natural killer (NK) cells can quickly and directly eradicate tumour cells without recognising tumour-specific antigens. NK cells also participate in immune surveillance, which arouses great interest in the development of novel cancer therapies. The chimeric antigen receptor (CAR) family is composed of receptor proteins that give immune cells extra capabilities to target specific antigen proteins or enhance their killing effects. CAR-T cell therapy has achieved initial success in haematological tumours, but is prone to adverse reactions, especially with cytokine release syndrome in clinical applications. Currently, CAR-NK cell therapy has been shown to successfully kill haematological tumour cells with allogeneic NK cells in clinical trials without adverse reactions, proving its potential to become an off-the-shelf product with broad clinical application prospects. Meanwhile, clinical trials of CAR-NK cells for solid tumours are currently underway. Here we will focus on the latest advances in CAR-NK cells, including preclinical and clinical trials in solid tumours, the advantages and challenges of CAR-NK cell therapy and new strategies to improve the safety and efficacy of CAR-NK cell therapy.
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Affiliation(s)
- S Pan
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China; The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - F Wang
- Department of Orthopedic Surgery, The Fourth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine
| | - J Jiang
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Z Lin
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Z Chen
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
| | - T Cao
- Wenzhou Medical University, Wenzhou, Zhejiang, China.
| | - L Yang
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China; The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
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