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Zhang Y, Zhou H, Zhao P, Yuan K, Zhou R, Qu Y, Wang Y. Facile synthesis of amorphous/crystalline Ni-Fe thiophenedicarboxylate coordination polymer nanobelts for efficient water oxidation. J Colloid Interface Sci 2024; 665:345-354. [PMID: 38531279 DOI: 10.1016/j.jcis.2024.03.148] [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: 01/11/2024] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 03/28/2024]
Abstract
The oxygen evolution reaction (OER) is a complex four-electron transfer process that poses a significant challenge to the efficient production of hydrogen through water splitting. However, developing non-noble metal electrocatalyst with excellent OER performance is still a big challenge. Herein, we propose a new strategy for the in-situ growth of two-dimensional amorphous/crystalline thiophene-based Ni-Fe metal-organic frameworks (MOFs) using Ni-Fe foam (NFF) as metal source and current collector, and thiophene-2,5-dicarboxylic acid (TDC) as corrosion agent and ligand. TDC was ionized at high temperature to produce H+ ions that etch NFF to release Ni2+ and Fe2+ ions, which were coordinated with TDC to in situ synthesize two-dimensional Ni-Fe thiophenedicarboxylate coordination polymer (NiFe-TDC) nanobelts on NFF. The unique structure and synergistic effect of Ni and Fe ions of NiFe-TDC0.05 result in the excellent OER performance with an overpotential of 224 and 256 mV at current densities of 10 and 100 mA cm-2, respectively, and it can run stably for 100 h at a current density of 100 mA cm-2, indicating the outstanding stability. Furthermore, NiFe-TDC0.05 remains the excellent OER performance with an extremely low potential of 196 and 271 mV at current densities of 10 and 100 mA cm-2 in seawater with 1 mol L-1 (M) KOH, respectively. The assembled NiFe-TDC0.05 || Pt/C water electrolysis cell achieves a current density of 100 mA cm-2 at a low voltage of 1.78 V. The work provides a new method to prepare two dimensional MOFs for efficient water oxidation.
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Affiliation(s)
- Yuzhen Zhang
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China; Shanxi Key Laboratory of Efficient Hydrogen Storage & Production Technology and Application, North University of China, Taiyuan 030051, PR China
| | - Huajun Zhou
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China; Shanxi Key Laboratory of Efficient Hydrogen Storage & Production Technology and Application, North University of China, Taiyuan 030051, PR China
| | - Peihua Zhao
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China
| | - Kai Yuan
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China
| | - Rui Zhou
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China
| | - Yongping Qu
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China.
| | - Yanzhong Wang
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China; Shanxi Key Laboratory of Efficient Hydrogen Storage & Production Technology and Application, North University of China, Taiyuan 030051, PR China.
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Zhou H, Zhang Y, Shi C, Yuan K, Zhou R, Zhao P, Qu Y, Wang Y. Synthesis of self-supported NiCoFe(OH) x via fenton-like effect corrosion for highly efficient water oxidation. J Colloid Interface Sci 2024; 663:725-734. [PMID: 38432171 DOI: 10.1016/j.jcis.2024.02.198] [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: 11/27/2023] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 03/05/2024]
Abstract
Efficientandinexpensiveoxygenevolutionreaction(OER)catalysts are essential for the electrochemical splitting of water into hydrogen fuel. Herein, we have successfully synthesized NiCoFe(OH)x nanosheets on Ni-Fe foam (NFF) by exploiting the Fenton-like effect of Co2+ and S2O82- to corrode the NFF foam. The as-prepared NiCoFe(OH)x/NFF exhibits the porous structure with the interconnected nanosheets that are firmly bonded to the conductive substrate of NFF, thereby enhancing ions and charge transfer kinetics. The unique structure and composition of NiCoFe(OH)x/NFF result in the low overpotentials of 200 and 262 mV at current densities of 10 and 100 mA cm-2, respectively, as well as a low Tafel slope of 53.25 mV dec-1. In addition, NiCoFe(OH)x/NFF displays low overpotentials of 267 and 294 mV at a high current density of 100 mA cm-2 in simulated and real seawater, respectively. Furthermore, the assembled NiCoFe(OH)x//Pt/C water electrolysis cell has achieved a current density of 10 mA cm-2 at a low voltage of 1.49 V, and displayed the good stability with slight attenuation for 110 h. The high OER performance of NiCoFe(OH)x is attributed to the co-catalytic effect of the three metal ions and the interconnected porous nanosheet structure.
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Affiliation(s)
- Huajun Zhou
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China; Institute of Advanced Energy Materials and System, North University of China, Taiyuan 030051, PR China
| | - Yuzhen Zhang
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China; Institute of Advanced Energy Materials and System, North University of China, Taiyuan 030051, PR China
| | - Chenxi Shi
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China
| | - Kai Yuan
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China
| | - Rui Zhou
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China
| | - Peihua Zhao
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China
| | - Yongping Qu
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China.
| | - Yanzhong Wang
- School of Materials Science and Engineering, North University of China, Taiyuan 030051, PR China; Institute of Advanced Energy Materials and System, North University of China, Taiyuan 030051, PR China.
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Liu X, Zhao X, Shao Z, Guo Y, Yue L, Liu J, Yu D, Sheng X, Zhu Y, Yuan K. Dual roles of the amygdala-hippocampus circuit in the regulation of rapid eye movement sleep and depression symptoms by repetitive transcranial magnetic stimulation in patients with insomnia. Gen Psychiatr 2024; 37:e101183. [PMID: 38650921 PMCID: PMC11033640 DOI: 10.1136/gpsych-2023-101183] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 01/22/2024] [Indexed: 04/25/2024] Open
Affiliation(s)
- Xiaoyang Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Xumeng Zhao
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Ziqiang Shao
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Yongjian Guo
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Lirong Yue
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Jiayi Liu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Dahua Yu
- Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Xiaona Sheng
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yifei Zhu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
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Yao F, Yuan K, Zhou W, Tang W, Tang T, Yang X, Liu H, Li F, Xu Q, Peng C. Unlocking Growth Potential in Halomonas bluephagenesis for Enhanced PHA Production with Sulfate Ions. J Ind Microbiol Biotechnol 2024:kuae013. [PMID: 38632039 DOI: 10.1093/jimb/kuae013] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
The mutant strain H. bluephagenesis (TDH4A1B5P) was found to produce PHA under low-salt, non-sterile conditions, but the yield was low. To improve the yield, different nitrogen sources were tested. It was discovered that urea was the most effective nitrogen source for promoting growth during the stable stage, while ammonium sulfate was used during the logarithmic stage. The growth time of H. bluephagenesis (TDH4A1B5P) and its PHA content were significantly prolonged by the presence of sulfate ions. After 64 hours in a 5-liter bioreactor supplemented with sulfate ions, the dry cell weight of H. bluephagenesis weighed 132 g/l and had a PHA content of 82%. To promote the growth and PHA accumulation of H. bluephagenesis (TDH4A1B5P), a feeding regimen supplemented with nitrogen sources and sulfate ions with ammonium sodium sulfate was established in this study. The dry cell weight was 124 g/L, and the PHA content accounted for 82.3% (w/w) of the dry cell weight, resulting in a PHA yield of 101 g/L in a 30-liter bioreactor using the optimized culture strategy. In conclusion, stimulating H. bluephagenesis (TDH4A1B5P) to produce PHA is a feasible and suitable strategy for all H. bluephagenesis.
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Affiliation(s)
- Fuwei Yao
- School of food science and pharmaceutical engineering; Nanjing Normal University (NNU), Nanjing, China
- Biotechnology Center; COFCO Nutrition and Health Research Institute Co., Ltd.; Beijing, China
| | - Kai Yuan
- COFCO Bio-Chemical Energy (Yushu) Co., Ltd.; COFCO Biotechnology Co., Ltd.; Changchun, China
| | - Weiqiang Zhou
- COFCO Bio-Chemical Energy (Yushu) Co., Ltd.; COFCO Biotechnology Co., Ltd.; Changchun, China
| | - Weitao Tang
- COFCO Bio-Chemical Energy (Yushu) Co., Ltd.; COFCO Biotechnology Co., Ltd.; Changchun, China
| | - Tang Tang
- COFCO Bio-Chemical Energy (Yushu) Co., Ltd.; COFCO Biotechnology Co., Ltd.; Changchun, China
| | - Xiaofan Yang
- COFCO Bio-Chemical Energy (Yushu) Co., Ltd.; COFCO Biotechnology Co., Ltd.; Changchun, China
| | - Haijun Liu
- COFCO Bio-Chemical Energy (Yushu) Co., Ltd.; COFCO Biotechnology Co., Ltd.; Changchun, China
| | - Fangliang Li
- COFCO Bio-Chemical Energy (Yushu) Co., Ltd.; COFCO Biotechnology Co., Ltd.; Changchun, China
| | - Qing Xu
- School of food science and pharmaceutical engineering; Nanjing Normal University (NNU), Nanjing, China
- Biotechnology Center; COFCO Nutrition and Health Research Institute Co., Ltd.; Beijing, China
| | - Chao Peng
- COFCO Bio-Chemical Energy (Yushu) Co., Ltd.; COFCO Biotechnology Co., Ltd.; Changchun, China
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Yu H, Liu D, Zhang Y, Tang R, Fan X, Mao S, Lv L, Chen F, Qin H, Zhang Z, van Aalten DMF, Yang B, Yuan K. Tissue-specific O-GlcNAcylation profiling identifies substrates in translational machinery in Drosophila mushroom body contributing to olfactory learning. eLife 2024; 13:e91269. [PMID: 38619103 PMCID: PMC11018347 DOI: 10.7554/elife.91269] [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: 07/23/2023] [Accepted: 03/14/2024] [Indexed: 04/16/2024] Open
Abstract
O-GlcNAcylation is a dynamic post-translational modification that diversifies the proteome. Its dysregulation is associated with neurological disorders that impair cognitive function, and yet identification of phenotype-relevant candidate substrates in a brain-region specific manner remains unfeasible. By combining an O-GlcNAc binding activity derived from Clostridium perfringens OGA (CpOGA) with TurboID proximity labeling in Drosophila, we developed an O-GlcNAcylation profiling tool that translates O-GlcNAc modification into biotin conjugation for tissue-specific candidate substrates enrichment. We mapped the O-GlcNAc interactome in major brain regions of Drosophila and found that components of the translational machinery, particularly ribosomal subunits, were abundantly O-GlcNAcylated in the mushroom body of Drosophila brain. Hypo-O-GlcNAcylation induced by ectopic expression of active CpOGA in the mushroom body decreased local translational activity, leading to olfactory learning deficits that could be rescued by dMyc overexpression-induced increase of protein synthesis. Our study provides a useful tool for future dissection of tissue-specific functions of O-GlcNAcylation in Drosophila, and suggests a possibility that O-GlcNAcylation impacts cognitive function via regulating regional translational activity in the brain.
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Affiliation(s)
- Haibin Yu
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South UniversityChangshaChina
| | - Dandan Liu
- Life Sciences Institute, Zhejiang University, HangzhouZhejiangChina
| | - Yaowen Zhang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South UniversityChangshaChina
| | - Ruijun Tang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South UniversityChangshaChina
| | - Xunan Fan
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South UniversityChangshaChina
| | - Song Mao
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South UniversityChangshaChina
| | - Lu Lv
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South UniversityChangshaChina
| | - Fang Chen
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South UniversityChangshaChina
| | - Hongtao Qin
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, Hunan UniversityChangshaChina
| | - Zhuohua Zhang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South UniversityChangshaChina
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South UniversityChangshaChina
| | - Daan MF van Aalten
- Department of Molecular Biology and Genetics, University of AarhusAarhusDenmark
| | - Bing Yang
- Life Sciences Institute, Zhejiang University, HangzhouZhejiangChina
| | - Kai Yuan
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital & Center for Medical Genetics, School of Life Sciences, Central South UniversityChangshaChina
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South UniversityChangshaChina
- The Biobank of Xiangya Hospital, Central South UniversityChangshaChina
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DeFelice M, Grimsby JL, Howrigan D, Yuan K, Chapman SB, Stevens C, DeLuca S, Townsend M, Buxbaum J, Pericak-Vance M, Qin S, Stein DJ, Teferra S, Xavier RJ, Huang H, Martin AR, Neale BM. Blended Genome Exome (BGE) as a Cost Efficient Alternative to Deep Whole Genomes or Arrays. bioRxiv 2024:2024.04.03.587209. [PMID: 38645052 PMCID: PMC11030253 DOI: 10.1101/2024.04.03.587209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Genomic scientists have long been promised cheaper DNA sequencing, but deep whole genomes are still costly, especially when considered for large cohorts in population-level studies. More affordable options include microarrays + imputation, whole exome sequencing (WES), or low-pass whole genome sequencing (WGS) + imputation. WES + array + imputation has recently been shown to yield 99% of association signals detected by WGS. However, a method free from ascertainment biases of arrays or the need for merging different data types that still benefits from deeper exome coverage to enhance novel coding variant detection does not exist. We developed a new, combined, "Blended Genome Exome" (BGE) in which a whole genome library is generated, an aliquot of that genome is amplified by PCR, the exome regions are selected and enriched, and the genome and exome libraries are combined back into a single tube for sequencing (33% exome, 67% genome). This creates a single CRAM with a low-coverage whole genome (2-3x) combined with a higher coverage exome (30-40x). This BGE can be used for imputing common variants throughout the genome as well as for calling rare coding variants. We tested this new method and observed >99% r 2 concordance between imputed BGE data and existing 30x WGS data for exome and genome variants. BGE can serve as a useful and cost-efficient alternative sequencing product for genomic researchers, requiring ten-fold less sequencing compared to 30x WGS without the need for complicated harmonization of array and sequencing data.
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Zhou F, Chen M, Qian Y, Yuan K, Han X, Wang W, Guo JJ, Chen Q, Li B. Enhancing Endogenous Hyaluronic Acid in Osteoarthritic Joints with an Anti-Inflammatory Supramolecular Nanofiber Hydrogel Delivering HAS2 Lentivirus. Small 2024:e2400542. [PMID: 38593309 DOI: 10.1002/smll.202400542] [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] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/24/2024] [Indexed: 04/11/2024]
Abstract
Osteoarthritis (OA) management remains challenging because of its intricate pathogenesis. Intra-articular injections of drugs, such as glucocorticoids and hyaluronic acid (HA), have certain limitations, including the risk of joint infection, pain, and swelling. Hydrogel-based therapeutic strategies have attracted considerable attention because of their enormous therapeutic potential. Herein, a supramolecular nanofiber hydrogel is developed using dexamethasone sodium phosphate (DexP) as a vector to deliver lentivirus-encoding hyaluronan synthase 2 (HAS2) (HAS2@DexP-Gel). During hydrogel degradation, HAS2 lentivirus and DexP molecules are slowly released. Intra-articular injection of HAS2@DexP-Gel promotes endogenous HA production and suppresses synovial inflammation. Additionally, HAS2@DexP-Gel reduces subchondral bone resorption in the anterior cruciate ligament transection-induced OA mice, attenuates cartilage degeneration, and delays OA progression. HAS2@DexP-Gel exhibited good biocompatibility both in vitro and in vivo. The therapeutic mechanisms of the HAS2@DexP-Gel are investigated using single-cell RNA sequencing. HAS2@DexP-Gel optimizes the microenvironment of the synovial tissue by modulating the proportion of synovial cell subpopulations and regulating the interactions between synovial fibroblasts and macrophages. The innovative nanofiber hydrogel, HAS2@DexP-Gel, effectively enhances endogenous HA production while reducing synovial inflammation. This comprehensive approach holds promise for improving joint function, alleviating pain, and slowing OA progression, thereby providing significant benefits to patients.
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Affiliation(s)
- Feng Zhou
- Department of Orthopaedic Surgery, The First Affiliated Hospital, Medical 3D Printing Center, Orthopedic Institute, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
| | - Muchao Chen
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu, 215123, P. R. China
| | - Yufan Qian
- Department of Orthopaedic Surgery, The First Affiliated Hospital, Medical 3D Printing Center, Orthopedic Institute, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
| | - Kai Yuan
- Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China
| | - Xuequan Han
- Department of Orthopaedics, Qilu Hospital of Shandong University, Shandong University Center for Orthopaedics, Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, P. R. China
| | - Weishan Wang
- Department of Orthopaedic Surgery, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, 832099, P. R. China
| | - Jiong Jiong Guo
- Department of Orthopaedic Surgery, The First Affiliated Hospital, Medical 3D Printing Center, Orthopedic Institute, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
| | - Qian Chen
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu, 215123, P. R. China
| | - Bin Li
- Department of Orthopaedic Surgery, The First Affiliated Hospital, Medical 3D Printing Center, Orthopedic Institute, School of Biology & Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
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Sangchooli A, Zare-Bidoky M, Fathi Jouzdani A, Schacht J, Bjork JM, Claus ED, Prisciandaro JJ, Wilson SJ, Wüstenberg T, Potvin S, Ahmadi P, Bach P, Baldacchino A, Beck A, Brady KT, Brewer JA, Childress AR, Courtney KE, Ebrahimi M, Filbey FM, Garavan H, Ghahremani DG, Goldstein RZ, Goudriaan AE, Grodin EN, Hanlon CA, Haugg A, Heilig M, Heinz A, Holczer A, Van Holst RJ, Joseph JE, Juliano AC, Kaufman MJ, Kiefer F, Khojasteh Zonoozi A, Kuplicki RT, Leyton M, London ED, Mackey S, McClernon FJ, Mellick WH, Morley K, Noori HR, Oghabian MA, Oliver JA, Owens M, Paulus MP, Perini I, Rafei P, Ray LA, Sinha R, Smolka MN, Soleimani G, Spanagel R, Steele VR, Tapert SF, Vollstädt-Klein S, Wetherill RR, Witkiewitz K, Yuan K, Zhang X, Verdejo-Garcia A, Potenza MN, Janes AC, Kober H, Zilverstand A, Ekhtiari H. Parameter Space and Potential for Biomarker Development in 25 Years of fMRI Drug Cue Reactivity: A Systematic Review. JAMA Psychiatry 2024; 81:414-425. [PMID: 38324323 DOI: 10.1001/jamapsychiatry.2023.5483] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Importance In the last 25 years, functional magnetic resonance imaging drug cue reactivity (FDCR) studies have characterized some core aspects in the neurobiology of drug addiction. However, no FDCR-derived biomarkers have been approved for treatment development or clinical adoption. Traversing this translational gap requires a systematic assessment of the FDCR literature evidence, its heterogeneity, and an evaluation of possible clinical uses of FDCR-derived biomarkers. Objective To summarize the state of the field of FDCR, assess their potential for biomarker development, and outline a clear process for biomarker qualification to guide future research and validation efforts. Evidence Review The PubMed and Medline databases were searched for every original FDCR investigation published from database inception until December 2022. Collected data covered study design, participant characteristics, FDCR task design, and whether each study provided evidence that might potentially help develop susceptibility, diagnostic, response, prognostic, predictive, or severity biomarkers for 1 or more addictive disorders. Findings There were 415 FDCR studies published between 1998 and 2022. Most focused on nicotine (122 [29.6%]), alcohol (120 [29.2%]), or cocaine (46 [11.1%]), and most used visual cues (354 [85.3%]). Together, these studies recruited 19 311 participants, including 13 812 individuals with past or current substance use disorders. Most studies could potentially support biomarker development, including diagnostic (143 [32.7%]), treatment response (141 [32.3%]), severity (84 [19.2%]), prognostic (30 [6.9%]), predictive (25 [5.7%]), monitoring (12 [2.7%]), and susceptibility (2 [0.5%]) biomarkers. A total of 155 interventional studies used FDCR, mostly to investigate pharmacological (67 [43.2%]) or cognitive/behavioral (51 [32.9%]) interventions; 141 studies used FDCR as a response measure, of which 125 (88.7%) reported significant interventional FDCR alterations; and 25 studies used FDCR as an intervention outcome predictor, with 24 (96%) finding significant associations between FDCR markers and treatment outcomes. Conclusions and Relevance Based on this systematic review and the proposed biomarker development framework, there is a pathway for the development and regulatory qualification of FDCR-based biomarkers of addiction and recovery. Further validation could support the use of FDCR-derived measures, potentially accelerating treatment development and improving diagnostic, prognostic, and predictive clinical judgments.
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Affiliation(s)
- Arshiya Sangchooli
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Mehran Zare-Bidoky
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis
- Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Fathi Jouzdani
- Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences, Tehran, Iran
| | - Joseph Schacht
- Department of Psychiatry, University of Colorado School of Medicine, Aurora
| | - James M Bjork
- Institute for Drug and Alcohol Studies, Department of Psychiatry, Virginia Commonwealth University, Richmond
| | - Eric D Claus
- Department of Biobehavioral Health, The Pennsylvania State University, University Park
| | - James J Prisciandaro
- Addiction Sciences Division, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston
| | - Stephen J Wilson
- Department of Psychology, The Pennsylvania State University, State College
| | - Torsten Wüstenberg
- Field of Focus IV, Core Facility for Neuroscience of Self-Regulation (CNSR), Heidelberg University, Heidelberg, Germany
| | - Stéphane Potvin
- Department of Psychiatry and Addiction, Université de Montréal, Montréal, Quebec, Canada
| | - Pooria Ahmadi
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Patrick Bach
- Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Alex Baldacchino
- School of Medicine, University of St Andrews, St Andrews, Scotland
| | - Anne Beck
- Faculty of Health, Health and Medical University, Potsdam, Germany
- Department of Psychiatry and Neurosciences, Charité Campus Mitte, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Kathleen T Brady
- Addiction Sciences Division, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston
| | - Judson A Brewer
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, Rhode Island
| | | | | | - Mohsen Ebrahimi
- Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences, Tehran, Iran
| | - Francesca M Filbey
- Center for BrainHealth, School of Behavioral and Brain Sciences, University of Texas at Dallas
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington
| | - Dara G Ghahremani
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Rita Z Goldstein
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Anneke E Goudriaan
- Department of Psychiatry, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Erica N Grodin
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Colleen A Hanlon
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina
- BrainsWay Inc, Winston-Salem, North Carolina
| | - Amelie Haugg
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Markus Heilig
- Center for Social and Affective Neuroscience, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Andreas Heinz
- Department of Psychiatry and Neurosciences, Charité Campus Mitte, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Adrienn Holczer
- Department of Neurology, Albert Szent-Györgyi Health Centre, University of Szeged, Szeged, Hungary
| | - Ruth J Van Holst
- Amsterdam Institute for Addiction Research, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Jane E Joseph
- Department of Neuroscience, Medical University of South Carolina, Charleston
| | | | - Marc J Kaufman
- McLean Hospital, Harvard Medical School, Belmont, Massachusetts
| | - Falk Kiefer
- Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arash Khojasteh Zonoozi
- Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences, Tehran, Iran
| | | | - Marco Leyton
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Edythe D London
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Scott Mackey
- Department of Psychiatry, University of Vermont, Burlington
| | - F Joseph McClernon
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina
| | - William H Mellick
- Addiction Sciences Division, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston
| | - Kirsten Morley
- Specialty of Addiction Medicine, Faculty of Medicine and Health, Sydney Medical School, University of Sydney, Sydney, Australia
| | - Hamid R Noori
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge
| | - Mohammad Ali Oghabian
- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Jason A Oliver
- TSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City
| | - Max Owens
- Department of Psychiatry, University of Vermont, Burlington
| | | | - Irene Perini
- Center for Social and Affective Neuroscience, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Parnian Rafei
- Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences, Tehran, Iran
| | - Lara A Ray
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Rajita Sinha
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Michael N Smolka
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Ghazaleh Soleimani
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis
| | - Rainer Spanagel
- Institute of Psychopharmacology, Central Institute of Mental Health, Mannheim, Germany
| | - Vaughn R Steele
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Susan F Tapert
- Department of Psychiatry, University of California, San Diego
| | - Sabine Vollstädt-Klein
- Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | | | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, China
| | - Xiaochu Zhang
- Department of Psychology, School of Humanities and Social Science, University of Science and Technology of China, Anhui, China
| | | | - Marc N Potenza
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Amy C Janes
- Cognitive and Pharmacological Neuroimaging Unit, National Institute on Drug Abuse, Baltimore, Maryland
| | - Hedy Kober
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Anna Zilverstand
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis
| | - Hamed Ekhtiari
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis
- Laureate Institute for Brain Research, Tulsa, Oklahoma
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9
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Sun C, He Y, Wang G, Zhang G, Zhang Y, Shen H, Hu L, Sun Y, Jiang B, Wang X, Yuan K, Min W, Wang L, Sun H, Xiao Y, Yang P. Design, Synthesis, and Antitumor Activity Evaluation of Novel VISTA Small Molecule Inhibitors. J Med Chem 2024; 67:3590-3605. [PMID: 38412237 DOI: 10.1021/acs.jmedchem.3c02039] [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: 02/29/2024]
Abstract
VISTA (V-domain Ig suppressor of T cell activation) is a novel immune checkpoint protein and represents a promising target for cancer immunotherapy. Here, we report the design, synthesis, and evaluation of a series of methoxy-pyrimidine-based VISTA small molecule inhibitors with potent antitumor activity. By employing molecular docking and microscale thermophoresis (MST) assay, we identified a lead compound A1 that binds to VISTA protein with high affinity and optimized its structure. A4 was then obtained, which exhibited the strongest binding ability to VISTA protein, with a KD value of 0.49 ± 0.20 μM. In vitro, A4 significantly activated peripheral blood mononuclear cells (PBMCs) induced the release of cytokines such as IFN-γ and enhanced the cytotoxicity of PBMCs against tumor cells. In vivo, A4 displayed potent antitumor activity and synergized with PD-L1 antibody to enhance the therapeutic effect against cancer. These results suggest that compound A4 is an effective VISTA small molecule inhibitor, providing a basis for the future development of VISTA-targeted drugs.
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Affiliation(s)
- Chengliang Sun
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Yuling He
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Gefei Wang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Guoyu Zhang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Yu Zhang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Hao Shen
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Lingrong Hu
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Yanze Sun
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Binjian Jiang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Xiao Wang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Kai Yuan
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Wenjian Min
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Liping Wang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Haopeng Sun
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Yibei Xiao
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Chongqing Innovation Institute of China Pharmaceutical University, Chongqing 401135, China
| | - Peng Yang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
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10
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Xiao K, Yang L, Peng M, Jiang X, Hu T, Yuan K, Chen Y. Unlocking the Effect of Chain Length and Terminal Group on Ethylene Glycol Ether Family Toward Advanced Aqueous Electrolytes. Small 2024; 20:e2306808. [PMID: 37946662 DOI: 10.1002/smll.202306808] [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] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 10/19/2023] [Indexed: 11/12/2023]
Abstract
Constructing high-performance hybrid electrolyte is important to advanced aqueous electrochemical energy storage devices. However, due to the lack of in-depth understanding of how the molecule structures of cosolvent additives influence the properties of electrolytes significantly impeded the development of hybrid electrolytes. Herein, a series of hybrid electrolytes are prepared by using ethylene glycol ether with different chain lengths and terminal groups as additives. The optimized 2 m LiTFSI-90%DDm hybrid electrolyte prepared from diethylene glycol dimethyl ether (DDm) molecule showcases excellent comprehensive performance and significantly enhances the operating voltage of supercapacitors (SCs) to 2.5 V by suppressing the activity of water. Moreover, the SC with 2 m LiTFSI-90%DDm hybrid electrolyte supplies a long-term cycling life of 50 000 cycles at 1 A g-1 with 92.3% capacitance retention as well as excellent low temperature (-40 ºC) cycling performance (10 000 times at 0.2 A g-1). Universally, Zn//polyaniline full cell with 2 m Zn(OTf)2-90%DDm electrolyte manifests outstanding cycling performance in terms of 77.9% capacity retention after 2,000 cycles and a dendrite-free Zn anode. This work inspires new thinking of developing advanced hybrid electrolytes by cosolvent molecule design toward high-performance energy storage devices.
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Affiliation(s)
- Kang Xiao
- College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry (IPEC)/Jiangxi Provincial Key Laboratory of New Energy Chemistry, Nanchang University, 999 Xuefu Avenue, Nanchang, 330031, China
- School of Physics and Materials Science, Nanchang University, 999 Xuefu Avenue, Nanchang, 330031, China
| | - Liming Yang
- College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry (IPEC)/Jiangxi Provincial Key Laboratory of New Energy Chemistry, Nanchang University, 999 Xuefu Avenue, Nanchang, 330031, China
| | - Mengke Peng
- College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry (IPEC)/Jiangxi Provincial Key Laboratory of New Energy Chemistry, Nanchang University, 999 Xuefu Avenue, Nanchang, 330031, China
| | - Xudong Jiang
- College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry (IPEC)/Jiangxi Provincial Key Laboratory of New Energy Chemistry, Nanchang University, 999 Xuefu Avenue, Nanchang, 330031, China
| | - Ting Hu
- School of Physics and Materials Science, Nanchang University, 999 Xuefu Avenue, Nanchang, 330031, China
| | - Kai Yuan
- College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry (IPEC)/Jiangxi Provincial Key Laboratory of New Energy Chemistry, Nanchang University, 999 Xuefu Avenue, Nanchang, 330031, China
| | - Yiwang Chen
- College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry (IPEC)/Jiangxi Provincial Key Laboratory of New Energy Chemistry, Nanchang University, 999 Xuefu Avenue, Nanchang, 330031, China
- National Engineering Research Center for Carbohydrate Synthesis/Key Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, 99 Ziyang Avenue, Nanchang, 330022, China
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11
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Gu G, Liu T, Guo H, Tang Y, Zhang S, Yang Z, Li Y, Yuan K. Treatment of L5-S1 Floating Calcified Lumbar Disc Herniation with Percutaneous Endoscopic Interlaminar Discectomy. Orthop Surg 2024; 16:620-627. [PMID: 38316417 PMCID: PMC10925508 DOI: 10.1111/os.14007] [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: 10/31/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 02/07/2024] Open
Abstract
OBJECTIVE The floating calcified tissue in floating calcified lumbar disc herniation (FCLDH) is hard and often adheres to the dura mater, which can easily cause nerve root damage during surgery, making the operation challenging. We proposed the classification of FCLDH and a new technique for removing floating calcified tissue and reported the clinical efficacy and safety of this new technique in clinical practice. METHODS From January 2019 to October 2021, 24 patients (13 males and 11 females, 46.4 ± 7.72 years) with L5-S1 floating calcified lumbar disc herniation were treated with percutaneous endoscopic interlaminar discectomy (PEID). According to FCLDH classification, a total of Type Ia: nine cases, Type Ib: five cases, Type IIa: four cases, and Type IIa: six cases were included. The visual analogue scale (VAS) and Oswestry disability index (ODI) were recorded pre-operatively and 3 days postoperatively, 6 months postoperatively, and at the last follow-up. The postoperative curative effect was evaluated according to the modified MacNab criteria. Computed tomography (CT) and magnetic resonance imaging (MRI) of the lumbar spine were performed 3 days after surgery to evaluate the efficacy of the surgery. RESULTS All patients successfully underwent PEID. The VAS and ODI scores at 3 days postoperatively, 6 months postoperatively, and at the last follow-up were significantly improved and statistically significant compared to those of the preoperative period (p < 0.05). All the patients were followed up for 12-24 months (mean, 16.6 ± 4.6 months). At the last follow-up, according to the modified MacNab criteria, 15 cases were excellent, eight were good, and one was fair. The combined excellent and good rate was 95.83% (23/24). Postoperative review revealed that all floating calcified tissues were effectively removed and the nerve roots were adequately decompressed without complications such as cerebrospinal fluid leakage and lumbar spine infection. CONCLUSION The classification of FCLDH we proposed can well guide the selection of surgical plans. PEID combined with floating calcified tissue removal technology has good efficacy in the treatment of L5-S1 FCLDH, ensuring accurate removal of calcified tissue, reducing complications and improving the quality of life of affected individuals.
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Grants
- 202201020295 Basic and Applied Basic Research in Jointly Funded Projects of City Schools (Institutes) Projects, China
- 2022 QNRC2 B11 Chinese Society of Traditional Chinese Medicine youth talent lifting project
- 2023B03J0379 Guangzhou Science and Technology Plan Project, China
- 202201020500 Application and foundation research project of Guangzhou, China
- 202201020533 Application and foundation research project of Guangzhou, China
- 20221146 Administration of Traditional Chinese Medicine of Guangdong Province, China
- 202003004 Administration of Traditional Chinese Medicine of Guangdong Province, China
- 20241091 Administration of Traditional Chinese Medicine of Guangdong Province, China
- 2021A1515012168 Natural Science Foundation of Guangdong Province, China
- 2019QN29 Innovation and strength project of The First Affiliated Hospital of Guangzhou University of Chinese Medicine
- 202102021040 Project of Guangzhou Science and Technology Department, China
- 2023.10 The Hospital Young and Middle aged Key Talent Cultivation Project of The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine
- 2020A1515110948 Basic and Applied Basic Research Fund Project in Guangdong Province, China
- Natural Science Foundation of Guangdong Province, China
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Affiliation(s)
- GuoNing Gu
- The First institute of Clinical Medicine, Guangzhou University of Chinese MedicineGuangzhouChina
| | - Teng Liu
- The First institute of Clinical Medicine, Guangzhou University of Chinese MedicineGuangzhouChina
| | - HuiZhi Guo
- Spine Surgery DepartmentThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouChina
| | - YongChao Tang
- Spine Surgery DepartmentThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouChina
| | - ShunCong Zhang
- Spine Surgery DepartmentThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouChina
| | - ZhiDong Yang
- Spine Surgery DepartmentThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouChina
| | - YongXian Li
- Spine Surgery DepartmentThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouChina
| | - Kai Yuan
- Spine Surgery DepartmentThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhouChina
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12
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Zhang W, Yuan K, Wen R, Li H, Ni X. Reconstruct recent multi-population migration history by using identical-by-descent sharing. J Genet Genomics 2024:S1673-8527(24)00035-3. [PMID: 38423503 DOI: 10.1016/j.jgg.2024.02.006] [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: 10/24/2023] [Revised: 02/19/2024] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
Abstract
Identical-by-descent (IBD) is a fundamental genomic characteristic in population genetics and has been widely used for population history reconstruction. However, limited by the nature of IBD, which could only capture the relationship between two individuals/haplotypes, existing IBD-based history inference is constrained to two populations. In this study, we propose a novel framework by leveraging IBD sharing in multi-population and develop a method, MatrixIBD, to reconstruct recent multi-population migration history. Specifically, we employ the structured coalescent theory to precisely model the genealogical process and then estimate the IBD sharing across multiple populations. Within our model, we establish a theoretical connection between migration history and IBD sharing. Our method is rigorously evaluated through simulations, revealing its remarkable accuracy and robustness. Furthermore, we apply MatrixIBD to Central and South Asia in the Human Genome Diversity Project and successfully reconstruct the recent migration history of three closely related populations in South Asia. By taking into account the IBD sharing across multiple populations simultaneously, MatrixIBD enables us to attain clearer and more comprehensive insights into the history of regions characterized by complex migration dynamics. This approach provides a holistic perspective on intricate patterns embedded within the recent population migration history.
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Affiliation(s)
- Wenxiao Zhang
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing 100044, China
| | - Kai Yuan
- The Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ru Wen
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing 100044, China
| | - Haifang Li
- Baidu Incorporated, Beijing 100085, China
| | - Xumin Ni
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing 100044, China.
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13
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Shao Z, Guo Y, Yue L, Liu X, Liu J, Zhao X, Sheng X, Yu D, Zhu Y, Yuan K. Comparisons of transcranial alternating current stimulation and repetitive transcranial magnetic stimulation treatment therapy for insomnia: a pilot study. Gen Psychiatr 2024; 37:e101184. [PMID: 38390243 PMCID: PMC10882281 DOI: 10.1136/gpsych-2023-101184] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 12/18/2023] [Indexed: 02/24/2024] Open
Affiliation(s)
- Ziqiang Shao
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Yongjian Guo
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Lirong Yue
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Xiaoyang Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Jiayi Liu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Xumeng Zhao
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Xiaona Sheng
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Dahua Yu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Yifei Zhu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
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14
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Chen Y, Liu S, Ren Z, Wang F, Jiang Y, Dai R, Duan F, Han C, Ning Z, Xia Y, Li M, Yuan K, Qiu W, Yan XX, Dai J, Kopp RF, Huang J, Xu S, Tang B, Gamazon ER, Bigdeli T, Gershon E, Huang H, Ma C, Liu C, Chen C. Brain eQTLs of European, African American, and Asian ancestry improve interpretation of schizophrenia GWAS. medRxiv 2024:2024.02.13.24301833. [PMID: 38405973 PMCID: PMC10888997 DOI: 10.1101/2024.02.13.24301833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Research on brain expression quantitative trait loci (eQTLs) has illuminated the genetic underpinnings of schizophrenia (SCZ). Yet, the majority of these studies have been centered on European populations, leading to a constrained understanding of population diversities and disease risks. To address this gap, we examined genotype and RNA-seq data from African Americans (AA, n=158), Europeans (EUR, n=408), and East Asians (EAS, n=217). When comparing eQTLs between EUR and non-EUR populations, we observed concordant patterns of genetic regulatory effect, particularly in terms of the effect sizes of the eQTLs. However, 343,737 cis-eQTLs (representing ∼17% of all eQTLs pairs) linked to 1,276 genes (about 10% of all eGenes) and 198,769 SNPs (approximately 16% of all eSNPs) were identified only in the non-EUR populations. Over 90% of observed population differences in eQTLs could be traced back to differences in allele frequency. Furthermore, 35% of these eQTLs were notably rare (MAF < 0.05) in the EUR population. Integrating brain eQTLs with SCZ signals from diverse populations, we observed a higher disease heritability enrichment of brain eQTLs in matched populations compared to mismatched ones. Prioritization analysis identified seven new risk genes ( SFXN2 , RP11-282018.3 , CYP17A1 , VPS37B , DENR , FTCDNL1 , and NT5DC2 ), and three potential novel regulatory variants in known risk genes ( CNNM2 , C12orf65 , and MPHOSPH9 ) that were missed in the EUR dataset. Our findings underscore that increasing genetic ancestral diversity is more efficient for power improvement than merely increasing the sample size within single-ancestry eQTLs datasets. Such a strategy will not only improve our understanding of the biological underpinnings of population structures but also pave the way for the identification of novel risk genes in SCZ.
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15
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Fu K, Cheung AHK, Wong CC, Liu W, Zhou Y, Wang F, Huang P, Yuan K, Coker OO, Pan Y, Chen D, Lam NM, Gao M, Zhang X, Huang H, To KF, Sung JJY, Yu J. Streptococcus anginosus promotes gastric inflammation, atrophy, and tumorigenesis in mice. Cell 2024; 187:882-896.e17. [PMID: 38295787 DOI: 10.1016/j.cell.2024.01.004] [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: 08/08/2022] [Revised: 10/13/2023] [Accepted: 01/02/2024] [Indexed: 02/18/2024]
Abstract
Streptococcus anginosus (S. anginosus) was enriched in the gastric mucosa of patients with gastric cancer (GC). Here, we show that S. anginosus colonized the mouse stomach and induced acute gastritis. S. anginosus infection spontaneously induced progressive chronic gastritis, parietal cell atrophy, mucinous metaplasia, and dysplasia in conventional mice, and the findings were confirmed in germ-free mice. In addition, S. anginosus accelerated GC progression in carcinogen-induced gastric tumorigenesis and YTN16 GC cell allografts. Consistently, S. anginosus disrupted gastric barrier function, promoted cell proliferation, and inhibited apoptosis. Mechanistically, we identified an S. anginosus surface protein, TMPC, that interacts with Annexin A2 (ANXA2) receptor on gastric epithelial cells. Interaction of TMPC with ANXA2 mediated attachment and colonization of S. anginosus and induced mitogen-activated protein kinase (MAPK) activation. ANXA2 knockout abrogated the induction of MAPK by S. anginosus. Thus, this study reveals S. anginosus as a pathogen that promotes gastric tumorigenesis via direct interactions with gastric epithelial cells in the TMPC-ANXA2-MAPK axis.
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Affiliation(s)
- Kaili Fu
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Alvin Ho Kwan Cheung
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Chi Chun Wong
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Weixin Liu
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yunfei Zhou
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Feixue Wang
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Pingmei Huang
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Kai Yuan
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Olabisi Oluwabukola Coker
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yasi Pan
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Danyu Chen
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Nga Man Lam
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Mengxue Gao
- Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Xiang Zhang
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - He Huang
- Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Ka Fai To
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Joseph Jao Yiu Sung
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
| | - Jun Yu
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
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Chen K, Wang F, Deng M, Yuan K, Wang X, Zhao Q, Dong Y, Wang W. Reactive lymphoid hyperplasia of the liver: A rare case report. Clin Hemorheol Microcirc 2024:CH232087. [PMID: 38339923 DOI: 10.3233/ch-232087] [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] [Indexed: 02/12/2024]
Abstract
BACKGROUND Hepatic reactive lymphoid hyperplasia (RLH) is a rare benign lymphoproliferative lesion and a poorly understood disease. It is usually asymptomatic and incidental, but it is difficult to distinguish from hepatocellular carcinoma and metastatic liver tumor on imaging, and percutaneous biopsy is not sufficient to distinguish from low-grade malignant lymphoma and extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT lymphoma), making diagnosis difficult. CASE SUMMARY A 69-year-old woman came to our hospital for reexamination of pulmonary nodules followed by liver occupation. The lesions showed "wash-in and wash-out" on contrast-enhanced ultrasonography and magnetic resonance imaging. Enhanced magnetic resonance also showed annular envelope enhancement and limited diffusion on the ADC map during the delay period. Imaging revealed metastatic liver cancer, and the patient underwent a partial hepatectomy. However, the final histopathological diagnosis was RLH. CONCLUSION If small isolated nodules are found in the liver of middle-aged and elderly female patients with no risk factors for liver malignancy, when the enhanced imaging suggests "wash-in and wash-out", further focus should be placed on whether the enhanced imaging shows perinodular enhancement and whether the DWI shows limited diffusion in MRI, in order to emphasize the possibility of liver RLH diagnosis.
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Affiliation(s)
- Keke Chen
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Feihang Wang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Minying Deng
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Kai Yuan
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xi Wang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiannan Zhao
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yi Dong
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wenping Wang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
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17
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Yang F, Ding M, Song X, Chen F, Yang T, Wang C, Hu C, Hu Q, Yao Y, Du S, Yao PY, Xia P, Adams G, Fu C, Xiang S, Liu D, Wang Z, Yuan K, Liu X. Organization of microtubule plus-end dynamics by phase separation in mitosis. J Mol Cell Biol 2024:mjae006. [PMID: 38323478 DOI: 10.1093/jmcb/mjae006] [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] [Indexed: 02/08/2024] Open
Abstract
In eukaryotes, microtubule polymers are essential for cellular plasticity and fate decisions. End-binding (EB) proteins serve as scaffolds for orchestrating microtubule polymer dynamics and are essential for cellular dynamics and chromosome segregation in mitosis. Here, we show that EB1 forms molecular condensates with TIP150 and MCAK through liquid-liquid phase separation to compartmentalize the kinetochore-microtubule plus-end machinery, ensuring accurate kinetochore-microtubule interactions during chromosome segregation in mitosis. Perturbation of EB1-TIP150 polymer formation by a competing peptide prevents phase separation of the EB1-mediated complex and chromosome alignment at the metaphase equator in both cultured cells and Drosophila embryos. Lys220 of EB1 is dynamically acetylated by p300/CBP-associated factor in early mitosis, and persistent acetylation at Lys220 attenuates the phase separation of the EB1-mediated complex, dissolves droplets in vitro, and harnesses accurate chromosome segregation. Our data suggest a novel framework for understanding the organization and regulation of eukaryotic spindle for accurate chromosome segregation in mitosis.
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Affiliation(s)
- Fengrui Yang
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
- Keck Center for Organoids Plasticity, Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - Mingrui Ding
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
| | - Xiaoyu Song
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
- Keck Center for Organoids Plasticity, Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - Fang Chen
- Hunan Key Laboratory of Molecular Precision Medicine, Central South University, Changsha 410083, China
| | - Tongtong Yang
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
| | - Chunyue Wang
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
| | - Chengcheng Hu
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
| | - Qing Hu
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
| | - Yihan Yao
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
| | - Shihao Du
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
| | - Phil Y Yao
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
- Keck Center for Organoids Plasticity, Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - Peng Xia
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
| | - Gregory Adams
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
- Keck Center for Organoids Plasticity, Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - Chuanhai Fu
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
- Keck Center for Organoids Plasticity, Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - Shengqi Xiang
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
| | - Dan Liu
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
| | - Zhikai Wang
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
- Keck Center for Organoids Plasticity, Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - Kai Yuan
- Hunan Key Laboratory of Molecular Precision Medicine, Central South University, Changsha 410083, China
| | - Xing Liu
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Chemical Biology, University of Science & Technology of China, Hefei 230027, China
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18
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Tan W, Yuan K, Ji K, Xiang T, Xin H, Li X, Zhang W, Song Z, Wang M, Duan F. Targeted versus Empiric Embolization for Delayed Postpancreatectomy Hemorrhage: A Retrospective Study of 312 Patients. J Vasc Interv Radiol 2024; 35:241-250.e1. [PMID: 37926344 DOI: 10.1016/j.jvir.2023.10.026] [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: 06/12/2023] [Revised: 09/22/2023] [Accepted: 10/27/2023] [Indexed: 11/07/2023] Open
Abstract
PURPOSE To assess the safety and clinical effectiveness of empiric embolization (EE) compared with targeted embolization (TE) in the treatment of delayed postpancreatectomy hemorrhage (PPH). MATERIALS AND METHODS The data of patients with delayed PPH between January 2012 and August 2022 were analyzed retrospectively. In total, 312 consecutive patients (59.6 years ± 10.8; 239 men) were included. The group was stratified into 3 cohorts according to angiographic results and treatment strategies: TE group, EE group, and no embolization (NE) group. The χ2 or Fisher exact test was implemented for comparing the clinical success and 30-day mortality. The variables related to clinical failure and 30-day mortality were identified by univariable and multivariable analyses. RESULTS Clinical success of transcatheter arterial embolization was achieved in 70.0% (170/243) of patients who underwent embolization. There was no statistical difference in clinical success and 30-day mortality between the EE and TE groups. Multivariate analyses demonstrated that malignant disease (odds ratio [OR] = 5.76), Grade C pancreatic fistula (OR = 7.59), intra-abdominal infection (OR = 2.54), and concurrent extraluminal and intraluminal hemorrhage (OR = 2.52) were risk factors for clinical failure. Moreover, 33 patients (13.6%) died within 30 days after embolization. Advanced age (OR = 2.59) and intra-abdominal infection (OR = 5.55) were identified as risk factors for 30-day mortality. CONCLUSIONS EE is safe and as effective as TE in preventing rebleeding and mortality in patients with angiographically negative delayed PPH.
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Affiliation(s)
- Wenle Tan
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Kai Yuan
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Kan Ji
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Tao Xiang
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Hainan Xin
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Xiaohui Li
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Wenhe Zhang
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Zhenfei Song
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Maoqiang Wang
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Feng Duan
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China.
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19
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Zheng M, Zhang XY, Chen W, Xia F, Yang H, Yuan K, Yang P. Molecules inducing specific cyclin-dependent kinase degradation and their possible use in cancer therapy. Future Med Chem 2024; 16:369-388. [PMID: 38288571 DOI: 10.4155/fmc-2023-0259] [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] [Indexed: 02/07/2024] Open
Abstract
Cyclin-dependent kinases (CDKs) play an important role in the regulation of cell proliferation, and many CDK inhibitors were developed. However, pan-CDK inhibitors failed to be approved due to intolerant toxicity or low efficacy and the use of selective CDK4/6 inhibitors is limited by resistance. Protein degraders have the potential to increase selectivity, efficacy and overcome resistance, which provides a novel strategy for regulating CDKs. In this review, we summarized the function of CDKs in regulating the cell cycle and transcription, and introduced the representative CDK inhibitors. Then we made a detailed introduction about four types of CDKs degraders, including their action mechanisms, research status and application prospects, which could help the development of novel CDKs degraders.
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Affiliation(s)
- Mingming Zheng
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Xiao-Yu Zhang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Weijiao Chen
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Fei Xia
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Huanaoyu Yang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Kai Yuan
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Peng Yang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing, 211198, China
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20
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Wang T, Gong X, Xia C, Kong W, Geng S, Jiang H, Xiao E, Wang H, Yu Y, Li C, Yuan K. An integrated transcriptomics and network pharmacology approach to explore the mechanism of Wang-Bi tablet against SAPHO syndrome. Int J Rheum Dis 2024; 27:e15077. [PMID: 38402418 DOI: 10.1111/1756-185x.15077] [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: 09/01/2023] [Revised: 01/20/2024] [Accepted: 01/27/2024] [Indexed: 02/26/2024]
Abstract
BACKGROUND SAPHO syndrome is recognized as a rare entity with damage to skin and bones due to inflammation. Currently, the treatment for SAPHO syndrome is still a challenge in clinical practice. In this study, an integrated transcriptomics and network pharmacology approach was applied to explore the therapeutic effect and mechanism of Wang-Bi tablet (WBT) on SAPHO syndrome. METHODS The main components of WBT and their targets, as well as the targets of SAPHO syndrome, were collected from databases. Network visualization was performed using Cytoscape software. The GO and KEGG enrichment analysis was executed by David dataset. Then, the molecular mechanism of WBT improving SAPHO syndrome was validated by transcriptomics of peripheral blood neutrophils in SAPHO syndrome. Finally, the above results were validated by molecular docking. RESULTS The Network Pharmacology results showed there are 152 core targets for WBT treatment on SAPHO syndrome. RNA-seq data showed 442 differentially expressed genes (DEGs) in peripheral blood neutrophils of SAPHO patients. Intriguingly, NIK/NF-kappaB-, MyD88-dependent toll-like receptor-, and MAPK pathway were included in the enrichment results of network pharmacology and RNA-seq. Moreover, we verified that the core components of WBT have good affinity with the core targets of NIK/NF-kappaB-, MyD88-dependent toll-like receptor-, and MAPK pathway by molecular docking. CONCLUSIONS This study illustrated that the possible mechanisms of WBT against SAPHO syndrome may be related to NIK/NF-kappaB-, MyD88-dependent toll-like receptor-, and MAPK pathway, and further experiments are needed to prove these predictions.
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Affiliation(s)
- Ting Wang
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Xun Gong
- Guang'an Men Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Congmin Xia
- Guang'an Men Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Weijia Kong
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
| | - Shaohui Geng
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Haixu Jiang
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Enfan Xiao
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Hesong Wang
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Yingcai Yu
- Department of Biochemistry, College of Life Sciences, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Chen Li
- Department of Rheumatology, Fangshan Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Kai Yuan
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
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21
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Niu C, Lv W, Zhu X, Dong Z, Yuan K, Jin Q, Zhang P, Li P, Mao M, Dong T, Chen Z, Luo J, Hou L, Zhang C, Hao K, Chen S, Huang Z. Intestinal Translocation of Live Porphyromonas gingivalis Drives Insulin Resistance. J Dent Res 2024; 103:197-207. [PMID: 38185909 DOI: 10.1177/00220345231214195] [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: 01/09/2024] Open
Abstract
Periodontitis has been emphasized as a risk factor of insulin resistance-related systemic diseases. Accumulating evidence has suggested a possible "oral-gut axis" linking oral infection and extraoral diseases, but it remains unclear whether periodontal pathogens can survive the barriers of the digestive tract and how they play their pathogenic roles. The present study established a periodontitis mouse model through oral ligature plus Porphyromonas gingivalis inoculation and demonstrated that periodontitis aggravated diet-induced obesity and insulin resistance, while also causing P. gingivalis enrichment in the intestine. Metabolic labeling strategy validated that P. gingivalis could translocate to the gastrointestinal tract in a viable state. Oral administration of living P. gingivalis elicited insulin resistance, while administration of pasteurized P. gingivalis had no such effect. Combination analysis of metagenome sequencing and nontargeted metabolomics suggested that the tryptophan metabolism pathway, specifically indole and its derivatives, was involved in the pathogenesis of insulin resistance caused by oral administration of living P. gingivalis. Moreover, liquid chromatography-high-resolution mass spectrometry analysis confirmed that the aryl hydrocarbon receptor (AhR) ligands, mainly indole acetic acid, tryptamine, and indole-3-aldehyde, were reduced in diet-induced obese mice with periodontitis, leading to inactivation of AhR signaling. Supplementation with Ficz (6-formylindolo (3,2-b) carbazole), an AhR agonist, alleviated periodontitis-associated insulin resistance, in which the restoration of gut barrier function might play an important role. Collectively, these findings reveal that the oral-gut translocation of viable P. gingivalis works as a fuel linking periodontitis and insulin resistance, in which reduction of AhR ligands and inactivation of AhR signaling are involved. This study provides novel insight into the role of the oral-gut axis in the pathogenesis of periodontitis-associated comorbidities.
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Affiliation(s)
- C Niu
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - W Lv
- Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Fudan University, Shanghai, P. R. China
| | - X Zhu
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - Z Dong
- Department of Oral Implantology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, P. R. China
| | - K Yuan
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - Q Jin
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - P Zhang
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - P Li
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - M Mao
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - T Dong
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - Z Chen
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - J Luo
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
| | - L Hou
- Department of Nursing, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P. R. China
| | - C Zhang
- Department of Oral Implantology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, P. R. China
| | - K Hao
- Department of Oral Implantology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, P. R. China
| | - S Chen
- Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Fudan University, Shanghai, P. R. China
- Department of Oral Implantology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, P. R. China
| | - Z Huang
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P. R. China
- National Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, P. R. China
- Shanghai Key Laboratory of Stomatology, Shanghai, P. R. China
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22
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Li H, Deng W, Yang J, Lin Y, Zhang S, Liang Z, Chen J, Hu M, Liu T, Mo G, Zhang Z, Wang D, Gu P, Tang Y, Yuan K, Xu L, Xu J, Zhang S, Li Y. Corylifol A suppresses osteoclastogenesis and alleviates ovariectomy-induced bone loss via attenuating ROS production and impairing mitochondrial function. Biomed Pharmacother 2024; 171:116166. [PMID: 38244329 DOI: 10.1016/j.biopha.2024.116166] [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: 10/30/2023] [Revised: 01/11/2024] [Accepted: 01/11/2024] [Indexed: 01/22/2024] Open
Abstract
Osteoporosis is a systemic disease characterized by an imbalance in bone homeostasis, where osteoblasts fail to fully compensate for the bone resorption induced by osteoclasts. Corylifol A, a flavonoid extracted from Fructus psoraleae, has been identified as a potential treatment for this condition. Predictions from network pharmacology and molecular docking studies suggest that Corylifol A exhibits strong binding affinity with NFATc1, Nrf2, PI3K, and AKT1. Empirical evidence from in vivo experiments indicates that Corylifol A significantly mitigates systemic bone loss induced by ovariectomy by suppressing both the generation and activation of osteoclasts. In vitro studies further showed that Corylifol A inhibited the activation of PI3K-AKT and MAPK pathways and calcium channels induced by RANKL in a time gradient manner, and specifically inhibited the phosphorylation of PI3K, AKT, GSK3 β, ERK, CaMKII, CaMKIV, and Calmodulin. It also diminishes ROS production through Nrf2 activation, leading to a decrease in the expression of key regulators such as NFATcl, C-Fos, Acp5, Mmp9, and CTSK that are involved in osteoclastogenesis. Notably, our RNA-seq analysis suggests that Corylifol A primarily impacts mitochondrial energy metabolism by suppressing oxidative phosphorylation. Collectively, these findings demonstrate that Corylifol A is a novel inhibitor of osteoclastogenesis, offering potential therapeutic applications for diseases associated with excessive bone resorption.
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Affiliation(s)
- HaiShan Li
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wei Deng
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - JiaMin Yang
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - YueWei Lin
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - ShiYin Zhang
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - ZiXuan Liang
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - JunChun Chen
- School of Biomedical Sciences, University of Western Australia, Perth, Western Australia, Australia; ShenZhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - MinHua Hu
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Teng Liu
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - GuoYe Mo
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zhen Zhang
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - DongPing Wang
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Peng Gu
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; Lingnan Medical Research Center of Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - YongChao Tang
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Kai Yuan
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - LiangLiang Xu
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - JiaKe Xu
- School of Biomedical Sciences, University of Western Australia, Perth, Western Australia, Australia; ShenZhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
| | - ShunCong Zhang
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
| | - YongXian Li
- The First Clinical Academy, Guangzhou University of Chinese Medicine, Guangzhou, China; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
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Gao N, Zheng Y, Yang Y, Huang Y, Wang S, Gong Y, Zeng N, Ni S, Wu S, Su S, Zhang Z, Yuan K, Shi L, Zhang Z, Yan W, Lu L, Bao Y. Association between Shift Work and Health Outcomes in the General Population in China: A Cross-Sectional Study. Brain Sci 2024; 14:145. [PMID: 38391721 PMCID: PMC10886504 DOI: 10.3390/brainsci14020145] [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: 12/10/2023] [Revised: 01/05/2024] [Accepted: 01/16/2024] [Indexed: 02/24/2024] Open
Abstract
Shift work may adversely affect individuals' health, thus, the current study aimed to investigate the association between shift work and health outcomes in the general population. A total of 41,061 participants were included in this online cross-sectional survey, among which 9612 (23.4%) individuals engaged in shift work and 31,449 (76.6%) individuals engaged in non-shift work. Multiple logistic regression analyses were conducted to explore the association between shift work and health outcomes (psychiatric disorders, mental health symptoms, and physical disorders). In addition, associations between the duration (≤1 year, 1-3 years, 3-5 years, 5-10 years, ≥10 years) and frequency of shift work (<1 or ≥1 night/week) and health outcomes were also explored. The results showed that compared to non-shift workers, shift workers had a higher likelihood of any psychiatric disorders (odds ratios [OR] = 1.80, 95% CI = 1.56-2.09, p < 0.001), mental health symptoms (OR = 1.76, 95% CI = 1.68-1.85, p < 0.001), and physical disorders (OR = 1.48, 95% CI = 1.39-1.57, p < 0.001). In addition, inverted U-shaped associations were observed between the duration of shift work and health outcomes. These results indicated that shift work was closely related to potential links with poor health outcomes. The findings highlighted the importance of paying attention to the health conditions of shift workers and the necessity of implementing comprehensive protective measures for shift workers to reduce the impact of shift work.
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Affiliation(s)
- Nan Gao
- The First Affiliated Hospital of Xinxiang Medical University, Xinxiang Medical University, Xinxiang 453199, China
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
| | - Yongbo Zheng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100191, China
| | - Yingbo Yang
- The First Affiliated Hospital of Xinxiang Medical University, Xinxiang Medical University, Xinxiang 453199, China
| | - Yuetong Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
| | - Sanwang Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Yimiao Gong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
| | - Na Zeng
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
- School of Public Health, Peking University, Beijing 100191, China
| | - Shuyu Ni
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
- School of Public Health, Peking University, Beijing 100191, China
| | - Shuilin Wu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
- School of Public Health, Peking University, Beijing 100191, China
| | - Sizhen Su
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
| | - Zhibo Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
| | - Kai Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
| | - Zhaohui Zhang
- The First Affiliated Hospital of Xinxiang Medical University, Xinxiang Medical University, Xinxiang 453199, China
| | - Wei Yan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100191, China
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
- Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences (No. 2018RU006), Beijing 100191, China
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China
- School of Public Health, Peking University, Beijing 100191, China
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Zhang S, Zhang R, Yuan K, Yang L, Liu C, Liu Y, Ni X, Xu S. Reconstructing complex admixture history using a hierarchical model. Brief Bioinform 2024; 25:bbad540. [PMID: 38261339 PMCID: PMC10805183 DOI: 10.1093/bib/bbad540] [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: 10/20/2023] [Revised: 12/04/2023] [Accepted: 12/22/2023] [Indexed: 01/24/2024] Open
Abstract
Various methods have been proposed to reconstruct admixture histories by analyzing the length of ancestral chromosomal tracts, such as estimating the admixture time and number of admixture events. However, available methods do not explicitly consider the complex admixture structure, which characterizes the joining and mixing patterns of different ancestral populations during the admixture process, and instead assume a simplified one-by-one sequential admixture model. In this study, we proposed a novel approach that considers the non-sequential admixture structure to reconstruct admixture histories. Specifically, we introduced a hierarchical admixture model that incorporated four ancestral populations and developed a new method, called HierarchyMix, which uses the length of ancestral tracts and the number of ancestry switches along genomes to reconstruct the four-way admixture history. By automatically selecting the optimal admixture model using the Bayesian information criterion principles, HierarchyMix effectively estimates the corresponding admixture parameters. Simulation studies confirmed the effectiveness and robustness of HierarchyMix. We also applied HierarchyMix to Uyghurs and Kazakhs, enabling us to reconstruct the admixture histories of Central Asians. Our results highlight the importance of considering complex admixture structures and demonstrate that HierarchyMix is a useful tool for analyzing complex admixture events.
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Affiliation(s)
- Shi Zhang
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing, 100044, China
| | - Rui Zhang
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Kai Yuan
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Lu Yang
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing, 100044, China
| | - Chang Liu
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yuting Liu
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing, 100044, China
| | - Xumin Ni
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing, 100044, China
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032 , China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai 201203, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
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25
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Liu X, Lu T, Chen X, Huang S, Zheng W, Zhang W, Meng S, Yan W, Shi L, Bao Y, Xue Y, Shi J, Yuan K, Han Y, Lu L. Memory consolidation drives the enhancement of remote cocaine memory via prefrontal circuit. Mol Psychiatry 2024:10.1038/s41380-023-02364-w. [PMID: 38221548 DOI: 10.1038/s41380-023-02364-w] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 11/22/2023] [Accepted: 12/01/2023] [Indexed: 01/16/2024]
Abstract
Remote memory usually decreases over time, whereas remote drug-cue associated memory exhibits enhancement, increasing the risk of relapse during abstinence. Memory system consolidation is a prerequisite for remote memory formation, but neurobiological underpinnings of the role of consolidation in the enhancement of remote drug memory are unclear. Here, we found that remote cocaine-cue associated memory was enhanced in rats that underwent self-administration training, together with a progressive increase in the response of prelimbic cortex (PrL) CaMKII neurons to cues. System consolidation was required for the enhancement of remote cocaine memory through PrL CaMKII neurons during the early period post-training. Furthermore, dendritic spine maturation in the PrL relied on the basolateral amygdala (BLA) input during the early period of consolidation, contributing to remote memory enhancement. These findings indicate that memory consolidation drives the enhancement of remote cocaine memory through a time-dependent increase in activity and maturation of PrL CaMKII neurons receiving a sustained BLA input.
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Affiliation(s)
- Xiaoxing Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Tangsheng Lu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, 100191, Beijing, China
- Department of Neurobiology, School of Basic Medical Sciences, Peking University Health Science Center, 100191, Beijing, China
| | - Xuan Chen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
- Xinxiang Medical University, Xinxiang, 453003, China
| | - Shihao Huang
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, 100191, Beijing, China
- Department of Neurobiology, School of Basic Medical Sciences, Peking University Health Science Center, 100191, Beijing, China
| | - Wei Zheng
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China
| | - Wen Zhang
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, 100191, Beijing, China
| | - Shiqiu Meng
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, 100191, Beijing, China
| | - Wei Yan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, 100191, Beijing, China
| | - Yanxue Xue
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, 100191, Beijing, China.
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, 100191, Beijing, China
| | - Kai Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Ying Han
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, 100191, Beijing, China.
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China.
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, 100191, Beijing, China.
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China.
- Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences (No. 2018RU006), Dongcheng, Beijing, China.
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Ti CHE, Hu C, Yuan K, Chu WCW, Tong RKY. Uncovering the Neural Mechanisms of Inter-Hemispheric Balance Restoration in Chronic Stroke Through EMG-Driven Robot Hand Training: Insights From Dynamic Causal Modeling. IEEE Trans Neural Syst Rehabil Eng 2024; 32:1-11. [PMID: 38051622 DOI: 10.1109/tnsre.2023.3339756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
EMG-driven robot hand training can facilitate motor recovery in chronic stroke patients by restoring the interhemispheric balance between motor networks. However, the underlying mechanisms of reorganization between interhemispheric regions remain unclear. This study investigated the effective connectivity (EC) between the ventral premotor cortex (PMv), supplementary motor area (SMA), and primary motor cortex (M1) using Dynamic Causal Modeling (DCM) during motor tasks with the paretic hand. Nineteen chronic stroke subjects underwent 20 sessions of EMG-driven robot hand training, and their Action Reach Arm Test (ARAT) showed significant improvement ( β =3.56, [Formula: see text]). The improvement was correlated with the reduction of inhibitory coupling from the contralesional M1 to the ipsilesional M1 (r=0.58, p=0.014). An increase in the laterality index was only observed in homotopic M1, but not in the premotor area. Additionally, we identified an increase in resting-state functional connectivity (FC) between bilateral M1 ( β =0.11, p=0.01). Inter-M1 FC demonstrated marginal positive relationships with ARAT scores (r=0.402, p=0.110), but its changes did not correlate with ARAT improvements. These findings suggest that the improvement of hand functions brought about by EMG-driven robot hand training was driven explicitly by task-specific reorganization of motor networks. Particularly, the restoration of interhemispheric balance was induced by a reduction in interhemispheric inhibition from the contralesional M1 during motor tasks of the paretic hand. This finding sheds light on the mechanistic understanding of interhemispheric balance and functional recovery induced by EMG-driven robot training.
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Mei S, Zou Y, Jiang S, Xue L, Wang Y, Jing H, Yang P, Niu MM, Li J, Yuan K, Zhang Y. Highly potent dual-targeting angiotensin-converting enzyme 2 (ACE2) and Neuropilin-1 (NRP1) peptides: A promising broad-spectrum therapeutic strategy against SARS-CoV-2 infection. Eur J Med Chem 2024; 263:115908. [PMID: 37981444 DOI: 10.1016/j.ejmech.2023.115908] [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: 05/22/2023] [Revised: 10/12/2023] [Accepted: 10/21/2023] [Indexed: 11/21/2023]
Abstract
The efficacy of approved vaccines has been diminishing due to the increasing advent of SARS-CoV-2 variants with diverse mutations that favor sneak entry. Nonetheless, these variants recognize the conservative host receptors angiotensin-converting enzyme 2 (ACE2) and neuropilin-1 (NRP1) for entry, rendering the dual blockade of ACE2 and NRP1 an advantageous pan-inhibition strategy. Here, we identified a highly potent dual-targeting peptide AP-1 using structure-based virtual screening protocol. AP-1 had nanoscale binding affinities for ACE2 (Kd = 6.1 ± 0.2 nM) and NRP1 (Kd = 13.4 ± 1.2 nM) and approximately 102- and 8-fold stronger than positive inhibitors S471-503 and NMTP-5, respectively. Further evidence in pseudovirus cell infection and cytotoxicity assays demonstrated that AP-1 exhibited remarkable entry inhibition of variants of concern (VOCs) of SARS-CoV-2 without impairing host cell viability. Together, our findings suggest that AP-1 with dual-targeting ACE2/NRP1 efficacy could be a promising broad-spectrum agent for treating SARS-CoV-2 emerging VOCs.
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Affiliation(s)
- Shuang Mei
- Key Laboratory of Drug Quality Control and Pharmacovigilance, Jiangsu Key Laboratory of Drug Design and Optimization, Ministry of Education, China Pharmaceutical University, Nanjing, 211198, China
| | - Yunting Zou
- Key Laboratory of Drug Quality Control and Pharmacovigilance, Jiangsu Key Laboratory of Drug Design and Optimization, Ministry of Education, China Pharmaceutical University, Nanjing, 211198, China
| | - Su Jiang
- Department of Pharmacy, Institute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China
| | - Lu Xue
- Department of Pharmacy, Institute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China
| | - Yuting Wang
- Key Laboratory of Drug Quality Control and Pharmacovigilance, Jiangsu Key Laboratory of Drug Design and Optimization, Ministry of Education, China Pharmaceutical University, Nanjing, 211198, China
| | - Han Jing
- Key Laboratory of Drug Quality Control and Pharmacovigilance, Jiangsu Key Laboratory of Drug Design and Optimization, Ministry of Education, China Pharmaceutical University, Nanjing, 211198, China
| | - Peng Yang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Miao-Miao Niu
- Key Laboratory of Drug Quality Control and Pharmacovigilance, Jiangsu Key Laboratory of Drug Design and Optimization, Ministry of Education, China Pharmaceutical University, Nanjing, 211198, China
| | - Jindong Li
- Department of Pharmacy, Institute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
| | - Kai Yuan
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
| | - Yan Zhang
- Department of Pharmacy, Institute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
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Liu H, Fu H, Yu C, Zhang N, Huang C, Lv L, Hu C, Chen F, Xiao Z, Zhang Z, Lu H, Yuan K. Transcriptional pausing induced by ionizing radiation enables the acquisition of radioresistance in nasopharyngeal carcinoma. J Mol Cell Biol 2024; 15:mjad044. [PMID: 37407287 PMCID: PMC10960568 DOI: 10.1093/jmcb/mjad044] [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: 11/25/2022] [Revised: 03/24/2023] [Accepted: 07/04/2023] [Indexed: 07/07/2023] Open
Abstract
Lesions on the DNA template can impact transcription via distinct regulatory pathways. Ionizing radiation (IR) as the mainstay modality for many malignancies elicits most of the cytotoxicity by inducing a variety of DNA damages in the genome. How the IR treatment alters the transcription cycle and whether it contributes to the development of radioresistance remain poorly understood. Here, we report an increase in the paused RNA polymerase II (RNAPII), as indicated by the phosphorylation at serine 5 residue of its C-terminal domain, in recurrent nasopharyngeal carcinoma (NPC) patient samples after IR treatment and cultured NPC cells developing IR resistance. Reducing the pool of paused RNAPII by either inhibiting TFIIH-associated CDK7 or stimulating the positive transcription elongation factor b, a CDK9-CycT1 heterodimer, attenuates IR resistance of NPC cells. Interestingly, the poly(ADP-ribosyl)ation of CycT1, which disrupts its phase separation, is elevated in the IR-resistant cells. Mutation of the major poly(ADP-ribosyl)ation sites of CycT1 decreases RNAPII pausing and restores IR sensitivity. Genome-wide chromatin immunoprecipitation followed by sequencing analyses reveal that several genes involved in radiation response and cell cycle control are subject to the regulation imposed by the paused RNAPII. Particularly, we identify the NIMA-related kinase NEK7 under such regulation as a new radioresistance factor, whose downregulation results in the increased chromosome instability, enabling the development of IR resistance. Overall, our results highlight a novel link between the alteration in the transcription cycle and the acquisition of IR resistance, opening up new opportunities to increase the efficacy of radiotherapy and thwart radioresistance in NPC.
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Affiliation(s)
- Honglu Liu
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Huanyi Fu
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China
| | - Chunhong Yu
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Na Zhang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Canhua Huang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Lu Lv
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China
| | - Chunhong Hu
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Fang Chen
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China
| | - Zhiqiang Xiao
- Research Center of Carcinogenesis and Targeted Therapy, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Zhuohua Zhang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Huasong Lu
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China
| | - Kai Yuan
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China
- Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
- The Biobank of Xiangya Hospital, Central South University, Changsha 410008, China
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Song X, Yang F, Yang T, Wang Y, Ding M, Li L, Xu P, Liu S, Dai M, Chi C, Xiang S, Xu C, Li D, Wang Z, Li L, Hill DL, Fu C, Yuan K, Li P, Zang J, Hou Z, Jiang K, Shi Y, Liu X, Yao X. Author Correction: Phase separation of EB1 guides microtubule plus-end dynamics. Nat Cell Biol 2024; 26:168-169. [PMID: 38062156 DOI: 10.1038/s41556-023-01324-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Affiliation(s)
- Xiaoyu Song
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
- Keck Center for Organoids Plasticity, Morehouse School of Medicine, Atlanta, GA, USA
| | - Fengrui Yang
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
- Keck Center for Organoids Plasticity, Morehouse School of Medicine, Atlanta, GA, USA
| | - Tongtong Yang
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
| | - Yong Wang
- Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University, Wuhan, China
| | - Mingrui Ding
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
- Keck Center for Organoids Plasticity, Morehouse School of Medicine, Atlanta, GA, USA
| | - Linge Li
- Anhui Key Laboratory for Chemical Biology & Hefei National Center for Cross-disciplinary Sciences, Hefei, China
| | - Panpan Xu
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
| | - Shuaiyu Liu
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
- Anhui Key Laboratory for Chemical Biology & Hefei National Center for Cross-disciplinary Sciences, Hefei, China
| | - Ming Dai
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
| | - Changbiao Chi
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
| | - Shengqi Xiang
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
| | - Chao Xu
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
| | - Dong Li
- Institute of Biophysics, Beijing, China
| | - Zhikai Wang
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
- Keck Center for Organoids Plasticity, Morehouse School of Medicine, Atlanta, GA, USA
| | - Lin Li
- CAS Center of Excellence in Molecular Cell Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Donald L Hill
- Department of Pathology, University of Alabama, Birmingham, AL, USA
| | - Chuanhai Fu
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
| | - Kai Yuan
- Hunan Key Laboratory of Molecular Precision Medicine, Central South University School of Life Sciences, Changsha, China
| | - Pilong Li
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Jianye Zang
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
| | - Zhonghuai Hou
- Anhui Key Laboratory for Chemical Biology & Hefei National Center for Cross-disciplinary Sciences, Hefei, China
| | - Kai Jiang
- Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University, Wuhan, China
| | - Yunyu Shi
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China
| | - Xing Liu
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China.
- Keck Center for Organoids Plasticity, Morehouse School of Medicine, Atlanta, GA, USA.
| | - Xuebiao Yao
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Center for Cross-disciplinary Sciences, University of Science & Technology of China School of Life Sciences, Hefei, China.
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Zhang S, Yang W, Li M, Wen X, Shao Z, Li J, Liu J, Zhang J, Yu D, Liu J, Yuan K. Reconfigurations of Dynamic Functional Network Connectivity in Large-scale Brain Network after Prolonged Abstinence in Heroin Users. Curr Neuropharmacol 2024; 22:1144-1153. [PMID: 36453493 DOI: 10.2174/1570159x21666221129105408] [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: 06/20/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Brain recovery phenomenon after long-term abstinence had been reported in substance use disorders. Yet, few longitudinal studies have been conducted to observe the abnormal dynamic functional connectivity (dFNC) of large-scale brain networks and recovery after prolonged abstinence in heroin users. OBJECTIVE The current study will explore the brain network dynamic connection reconfigurations after prolonged abstinence in heroin users (HUs). METHODS The 10-month longitudinal design was carried out for 40 HUs. The 40 healthy controls (HCs) were also enrolled. Group independent component analysis (GICA) and dFNC analysis were employed to detect the different dFNC patterns of addiction-related ICNs between HUs and HCs. The temporal properties and the graph-theoretical properties were calculated. Whether the abnormalities would be reconfigured in HUs after prolonged abstinence was then investigated. RESULTS Based on eight functional networks extracted from GICA, four states were identified by the dFNC analysis. Lower mean dwell time and fraction rate in state4 were found for HUs, which were increased toward HCs after prolonged abstinence. In this state, HUs at baseline showed higher dFNC of RECN-aSN, aSN- aSN and dDMN-pSN, which decreased after protracted abstinence. A similar recovery phenomenon was found for the global efficiency and path length in abstinence HUs. Mean while, the abnormal dFNC strength was correlated with craving both at baseline and after abstinence. CONCLUSION Our longitudinal study observed the large-scale brain network reconfiguration from the dynamic perspective in HUs after prolonged abstinence and improved the understanding of the neurobiology of prolonged abstinence in HUs.
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Affiliation(s)
- Shan Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Wenhan Yang
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Minpeng Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Xinwen Wen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Ziqiang Shao
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Jun Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Jixin Liu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Jun Zhang
- Hunan Judicial Police Academy, Changsha, 410000, China
| | - Dahua Yu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Kai Yuan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China
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Wang X, Yuan K, Su Y, Li X, Meng L, Zhao N, Hu Y, Duan F, Xu FJ. Tuning Blood-Material Interactions to Generate Versatile Hemostatic Powders and Gels. Adv Healthc Mater 2024; 13:e2301945. [PMID: 37897223 DOI: 10.1002/adhm.202301945] [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: 06/19/2023] [Revised: 10/05/2023] [Indexed: 10/29/2023]
Abstract
Polymer-based hemostatic materials/devices have been increasingly exploited for versatile clinical scenarios, while there is an urgent need to reveal the rational design/facile approach for procoagulant surfaces through regulating blood-material interactions. In this work, degradable powders (PLPS) and thermoresponsive gels (F127-PLPS) are readily developed as promising hemostatic materials for versatile clinical applications, through tuning blood-material interactions with optimized grafting of cationic polylysine: the former is facilely prepared by conjugating polylysine onto porous starch particle, while F127-PLPS is prepared by the simple mixture of PLPS and commercial thermosensitive polymer. In vitro and in vivo results demonstrate that PLPS2 with the optimal-/medium content of polylysine grafts achieve the superior hemostatic performance. The underlying procoagulant mechanism of PLPS2 surface is revealed as the selective fibrinogen adsorption among the competitive plasma-protein-adsorption process, which is the foundation of other blood-material interactions. Moreover, in vitro results confirm the achieved procoagulant surface of F127-PLPS through optimal PLPS2 loading. Together with the tunable thermoresponsiveness, F127-PLPS exhibits outstanding hemostatic utilization in both femoral-artery-injury and renal-artery-embolization models. The work thereby pioneers an appealing approach for generating versatile polymer-based hemostatic materials/devices.
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Affiliation(s)
- Xueru Wang
- State Key Laboratory of Chemical Resource Engineering, Key Lab of Biomedical Materials of Natural Macromolecules (Beijing University of Chemical Technology, Ministry of Education), Beijing Laboratory of Biomedical Material, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Kai Yuan
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, 100853, China
| | - Yang Su
- State Key Laboratory of Chemical Resource Engineering, Key Lab of Biomedical Materials of Natural Macromolecules (Beijing University of Chemical Technology, Ministry of Education), Beijing Laboratory of Biomedical Material, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Xiaoyue Li
- State Key Laboratory of Chemical Resource Engineering, Key Lab of Biomedical Materials of Natural Macromolecules (Beijing University of Chemical Technology, Ministry of Education), Beijing Laboratory of Biomedical Material, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Limin Meng
- Department of Medical Imaging, Air Force Medical Center, PLA, Beijing, 100142, China
| | - Nana Zhao
- State Key Laboratory of Chemical Resource Engineering, Key Lab of Biomedical Materials of Natural Macromolecules (Beijing University of Chemical Technology, Ministry of Education), Beijing Laboratory of Biomedical Material, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Yang Hu
- State Key Laboratory of Chemical Resource Engineering, Key Lab of Biomedical Materials of Natural Macromolecules (Beijing University of Chemical Technology, Ministry of Education), Beijing Laboratory of Biomedical Material, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Feng Duan
- Department of Interventional Radiology, Chinese PLA General Hospital, Beijing, 100853, China
| | - Fu-Jian Xu
- State Key Laboratory of Chemical Resource Engineering, Key Lab of Biomedical Materials of Natural Macromolecules (Beijing University of Chemical Technology, Ministry of Education), Beijing Laboratory of Biomedical Material, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
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Zhao Y, Guo P, Li D, Liu M, Zhang J, Yuan K, Zheng H, Liu L. Preparation and evaluation of oxidized-dextran based on antibacterial hydrogel for synergistic photodynamic therapy. Int J Biol Macromol 2023; 253:127648. [PMID: 37890748 DOI: 10.1016/j.ijbiomac.2023.127648] [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: 06/16/2023] [Revised: 10/13/2023] [Accepted: 10/22/2023] [Indexed: 10/29/2023]
Abstract
Skin trauma is a widespread, extremely susceptible health issue that affects people all over the world. In this study, an innovative antibacterial hydrogel (ODAA hydrogel) with photosensitizer and antibiotics was developed. Oxidized dextran (ODEX) was used as a carrier to prepare a pH-responsive hydrogel by loading the antibiotic amikacin (AMK) and the photosensitizer hexyl 5-aminolevulinate (HAL) via imine bonds. The ODAA hydrogel has a uniformly distributed cavity structure. The cumulative release rates of HAL and AMK in a simulated inflammatory environment at pH 5.0 were approximately 62.3 % and 71.9 % during 15 days. These results demonstrate the ODAA hydrogel's ability to deliver antibiotics on demand, where the antibiotic content is reduced within the effective range. Regarding the in vitro antibacterial behavior, the combination of HAL and AMK synergistically destroyed the majority of Gram-positive and Gram-negative bacteria through several pathways with broad-spectrum antibacterial effects. ODAA hydrogel has been shown to be biocompatible, nearly non-cytotoxic, and capable of promoting wound healing. It is anticipated that the simultaneous targeted delivery of multiple drugs to lesions in the same carrier at ideal dose ratios for particular therapeutic combinations will produce the most synergistic effects.
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Affiliation(s)
- Yuting Zhao
- School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China
| | - Peiyong Guo
- School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China
| | - Dan Li
- School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China
| | - Mengjie Liu
- School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China
| | - Junhao Zhang
- School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China
| | - Kai Yuan
- School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China
| | - Hua Zheng
- School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, China; School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China.
| | - Liang Liu
- School of Traditional Chinese Medicine, Inner Mongolia Medical University, Huhehot 010010, China.
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Cheng Y, Liu H, Yuan R, Yuan K, Yu S. Effectiveness of pharmacogenomics on the response and remission of treatment-resistant depression: a meta-analysis of randomised controlled trials. Gen Psychiatr 2023; 36:e101050. [PMID: 38155841 PMCID: PMC10753713 DOI: 10.1136/gpsych-2023-101050] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 10/27/2023] [Indexed: 12/30/2023] Open
Abstract
Background Pharmacogenomics (PGx) is a promising tool to realise tailored drug therapy for depression. Aims To investigate the treatment efficacy of PGx for treatment-resistant depression (TRD) compared with treatment as usual. Methods A systematic search was conducted in PubMed, Embase, the Cochrane Library, Web of Science and PsycINFO to identify relevant studies published from inception to 15 April 2023. Two-arm randomised controlled trials (RCTs) exploring the efficacy of PGx-guided versus unguided treatment for TRD were included. The risk of bias in the included studies was evaluated using the Cochrane risk of bias assessment tool. The overall quality of evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. Results Seven RCTs (n=3003) comparing PGx-guided (n=1492) and unguided (n=1511) groups were identified and analysed. PGx-guided treatment was superior to treatment as usual in response (relative risk (RR)=1.31; 95% confidence interval (95% CI): 1.15 to 1.49; p<0.001) and remission (RR=1.40; 95% CI: 1.09 to 1.80; p=0.009) improvements. Effect sizes for acceptability (RR=0.90; 95% CI: 0.80 to 1.02; p=0.100) and side effect burden (RR=0.58; 95% CI: 0.29 to 1.15; p=0.120) between the two groups were not statistically different. The overall quality of evidence was rated from 'very low' (25%) to 'low' (75%) based on the GRADE criteria. Conclusions PGx-guided treatment has shown a small overall effect in improving the response and remission rates for patients with TRD. However, these results should be interpreted cautiously because of the few included studies and the low quality of evidence. Further high-quality clinical trials are warranted to confirm the findings. PROSPERO registration number CRD42022340182.
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Affiliation(s)
- Yu Cheng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongmei Liu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruixue Yuan
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kai Yuan
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shunying Yu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Guo Y, Zhao X, Liu X, Liu J, Li Y, Yue L, Yuan F, Zhu Y, Sheng X, Yu D, Yuan K. Electroencephalography microstates as novel functional biomarkers for insomnia disorder. Gen Psychiatr 2023; 36:e101171. [PMID: 38143715 PMCID: PMC10749048 DOI: 10.1136/gpsych-2023-101171] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 11/14/2023] [Indexed: 12/26/2023] Open
Abstract
Background Insomnia disorder (ID) is one of the most common mental disorders. Research on ID focuses on exploring its mechanism of disease, novel treatments and treatment outcome prediction. An emerging technique in this field is the use of electroencephalography (EEG) microstates, which offer a new method of EEG feature extraction that incorporates information from both temporal and spatial dimensions. Aims To explore the electrophysiological mechanisms of repetitive transcranial magnetic stimulation (rTMS) for ID treatment and use baseline microstate metrics for the prediction of its efficacy. Methods This study included 60 patients with ID and 40 age-matched and gender-matched good sleep controls (GSC). Their resting-state EEG microstates were analysed, and the Pittsburgh Sleep Quality Index (PSQI) and polysomnography (PSG) were collected to assess sleep quality. The 60 patients with ID were equally divided into active and sham groups to receive rTMS for 20 days to test whether rTMS had a moderating effect on abnormal microstates in patients with ID. Furthermore, in an independent group of 90 patients with ID who received rTMS treatment, patients were divided into optimal and suboptimal groups based on their median PSQI reduction rate. Baseline EEG microstates were used to build a machine-learning predictive model for the effects of rTMS treatment. Results The class D microstate was less frequent and contribute in patients with ID, and these abnormalities were associated with sleep onset latency as measured by PSG. Additionally, the abnormalities were partially reversed to the levels observed in the GSC group following rTMS treatment. The baseline microstate characteristics could predict the therapeutic effect of ID after 20 days of rTMS, with an accuracy of 80.13%. Conclusions Our study highlights the value of EEG microstates as functional biomarkers of ID and provides a new perspective for studying the neurophysiological mechanisms of ID. In addition, we predicted the therapeutic effect of rTMS on ID based on the baseline microstates of patients with ID. This finding carries great practical significance for the selection of therapeutic options for patients with ID.
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Affiliation(s)
- Yongjian Guo
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Xumeng Zhao
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiaoyang Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Jiayi Liu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yan Li
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Lirong Yue
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Fulai Yuan
- Health Management Center, Xiangya Hospital, Central South University, Changsha, China
| | - Yifei Zhu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiaona Sheng
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Dahua Yu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
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Yuan K, Xia F, Li Q, Zheng M, Shen H, Chen W, Yang H, Zhuang X, Zhang XY, Xiao Y, Yang P. Discovery of Potent, Selective, and Orally Bioavailable DYRK2 Inhibitors for the Treatment of Prostate Cancer. J Med Chem 2023; 66:16235-16256. [PMID: 38033250 DOI: 10.1021/acs.jmedchem.3c01626] [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: 12/02/2023]
Abstract
Prostate cancer (PCa) seriously threatens male health, and targeting dual-specificity tyrosine phosphorylation-regulated kinase 2 (DYRK2) has been verified to reduce PCa burden, while the research progress on the DYRK2 inhibitors was relatively slow. In this work, we discovered DYRK2 inhibitor 12 (IC50 = 9681 nM) through virtual screening. Subsequently, we performed systematic structural optimization to obtain 54 (IC50 = 14 nM). Compound 54 exhibited high selectivity among 215 kinases and significantly suppressed the proliferation and metastasis of PCa cells in vitro. Moreover, compound 54 displayed high safety, favorable bioavailability, and potent tumor growth inhibitory activity in vivo, which could be used as a potential candidate in the discovery of novel anti-PCa drugs.
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Affiliation(s)
- Kai Yuan
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Fei Xia
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Qiannan Li
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Mingming Zheng
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Hongtao Shen
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Weijiao Chen
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Huanaoyu Yang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Xujie Zhuang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Xiao-Yu Zhang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Yibei Xiao
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Pharmacology, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
| | - Peng Yang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing 211198, China
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Liu X, Xiong W, Ye M, Lu T, Yuan K, Chang S, Han Y, Wang Y, Lu L, Bao Y. Non-coding RNAs expression in SARS-CoV-2 infection: pathogenesis, clinical significance, and therapeutic targets. Signal Transduct Target Ther 2023; 8:441. [PMID: 38057315 PMCID: PMC10700414 DOI: 10.1038/s41392-023-01669-0] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 09/12/2023] [Accepted: 09/28/2023] [Indexed: 12/08/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has been looming globally for three years, yet the diagnostic and treatment methods for COVID-19 are still undergoing extensive exploration, which holds paramount importance in mitigating future epidemics. Host non-coding RNAs (ncRNAs) display aberrations in the context of COVID-19. Specifically, microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) exhibit a close association with viral infection and disease progression. In this comprehensive review, an overview was presented of the expression profiles of host ncRNAs following SARS-CoV-2 invasion and of the potential functions in COVID-19 development, encompassing viral invasion, replication, immune response, and multiorgan deficits which include respiratory system, cardiac system, central nervous system, peripheral nervous system as well as long COVID. Furthermore, we provide an overview of several promising host ncRNA biomarkers for diverse clinical scenarios related to COVID-19, such as stratification biomarkers, prognostic biomarkers, and predictive biomarkers for treatment response. In addition, we also discuss the therapeutic potential of ncRNAs for COVID-19, presenting ncRNA-based strategies to facilitate the development of novel treatments. Through an in-depth analysis of the interplay between ncRNA and COVID-19 combined with our bioinformatic analysis, we hope to offer valuable insights into the stratification, prognosis, and treatment of COVID-19.
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Affiliation(s)
- Xiaoxing Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Wandi Xiong
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China
- Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, 570228, Haikou, China
| | - Maosen Ye
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, 650204, Kunming, Yunnan, China
| | - Tangsheng Lu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China
| | - Kai Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Suhua Chang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Ying Han
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China
| | - Yongxiang Wang
- Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, 250117, Jinan, Shandong, China.
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China.
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China.
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.
- Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, 250117, Jinan, Shandong, China.
- School of Public Health, Peking University, 100191, Beijing, China.
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Zhou H, Kember RL, Deak JD, Xu H, Toikumo S, Yuan K, Lind PA, Farajzadeh L, Wang L, Hatoum AS, Johnson J, Lee H, Mallard TT, Xu J, Johnston KJA, Johnson EC, Nielsen TT, Galimberti M, Dao C, Levey DF, Overstreet C, Byrne EM, Gillespie NA, Gordon S, Hickie IB, Whitfield JB, Xu K, Zhao H, Huckins LM, Davis LK, Sanchez-Roige S, Madden PAF, Heath AC, Medland SE, Martin NG, Ge T, Smoller JW, Hougaard DM, Børglum AD, Demontis D, Krystal JH, Gaziano JM, Edenberg HJ, Agrawal A, Justice AC, Stein MB, Kranzler HR, Gelernter J. Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals. Nat Med 2023; 29:3184-3192. [PMID: 38062264 PMCID: PMC10719093 DOI: 10.1038/s41591-023-02653-5] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 10/18/2023] [Indexed: 12/17/2023]
Abstract
Problematic alcohol use (PAU), a trait that combines alcohol use disorder and alcohol-related problems assessed with a questionnaire, is a leading cause of death and morbidity worldwide. Here we conducted a large cross-ancestry meta-analysis of PAU in 1,079,947 individuals (European, N = 903,147; African, N = 122,571; Latin American, N = 38,962; East Asian, N = 13,551; and South Asian, N = 1,716 ancestries). We observed a high degree of cross-ancestral similarity in the genetic architecture of PAU and identified 110 independent risk variants in within- and cross-ancestry analyses. Cross-ancestry fine mapping improved the identification of likely causal variants. Prioritizing genes through gene expression and chromatin interaction in brain tissues identified multiple genes associated with PAU. We identified existing medications for potential pharmacological studies by a computational drug repurposing analysis. Cross-ancestry polygenic risk scores showed better performance of association in independent samples than single-ancestry polygenic risk scores. Genetic correlations between PAU and other traits were observed in multiple ancestries, with other substance use traits having the highest correlations. This study advances our knowledge of the genetic etiology of PAU, and these findings may bring possible clinical applicability of genetics insights-together with neuroscience, biology and data science-closer.
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Affiliation(s)
- Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
- Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA.
| | - Rachel L Kember
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Joseph D Deak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Heng Xu
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sylvanus Toikumo
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kai Yuan
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Leila Farajzadeh
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Lu Wang
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Alexander S Hatoum
- Department of Psychological and Brain Sciences, Washington University in St. Louis, Saint Louis, MO, USA
| | - Jessica Johnson
- Pamela Sklar Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hyunjoon Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Travis T Mallard
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jiayi Xu
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | | | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Trine Tollerup Nielsen
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Marco Galimberti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Cecilia Dao
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Daniel F Levey
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Cassie Overstreet
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Enda M Byrne
- Child Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Nathan A Gillespie
- Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Scott Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ke Xu
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Laura M Huckins
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Lea K Davis
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Division of Medical Genetics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sandra Sanchez-Roige
- Department of Medicine, Division of Medical Genetics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Pamela A F Madden
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
- School of Psychology, University of Queensland, Brisbane, Queensland, Australia
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Tian Ge
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Jordan W Smoller
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - David M Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Anders D Børglum
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Ditte Demontis
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
- The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, US Department of Veterans Affairs, West Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
- Psychiatry and Behavioral Health Services, Yale-New Haven Hospital, New Haven, CT, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston Veterans Affairs Healthcare System, Boston, MA, USA
- Department of Medicine, Divisions of Aging and Preventative Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Amy C Justice
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, USA
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Henry R Kranzler
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA.
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA.
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Lin Y, Yuan K, Yang Y, Yang S, Huang K, Yu Z, Zhang S, Liu Y, Li H, Dong Y, Tang T. Osteosarocma progression in biomimetic matrix with different stiffness: Insights from a three-dimensional printed gelatin methacrylamide hydrogel. Int J Biol Macromol 2023; 252:126391. [PMID: 37595702 DOI: 10.1016/j.ijbiomac.2023.126391] [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: 03/29/2023] [Revised: 08/15/2023] [Accepted: 08/15/2023] [Indexed: 08/20/2023]
Abstract
Recent studies on osteosarcoma and matrix stiffness are still mostly performed in a 2D setting, which is distinct from in vivo conditions. Therefore, the results from the 2D models may not reflect the real effect of matrix stiffness on cell phenotype. Here, we employed a 3D bioprinted osteosarcoma model, to study the effect of matrix stiffness on osteosarcoma cells. Through density adjustment of GelMA, we constructed three osteosarcoma models with distinct matrix stiffnesses of 50, 80, and 130 kPa. In this study, we found that osteosarcoma cells proliferated faster, migrated more actively, had a more stretched morphology, and a lower drug sensitivity in a softer 3D matrix. When placed in a stiffer matrix, osteosarcoma cells secrete more MMP and VEGF, potentially to fight for survival and attract vascular invasion. Transcriptomic analysis showed that matrix stiffness could impact the signaling pathway of integrin α5-MAPK. The transplantation of 3D printed models in nude mice showed that cells encapsulated in the softer hydrogel were more likely to form subcutaneous tumors. These results suggest that matrix stiffness plays an important role in the development of osteosarcoma in a 3D environment and that inhibition of integrin α5 could block the signal transduction of matrix stiffness.
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Affiliation(s)
- Yixuan Lin
- Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Kai Yuan
- Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Yiqi Yang
- Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Shengbing Yang
- Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Kai Huang
- Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Zhifeng Yu
- Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Shuhong Zhang
- Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Yihao Liu
- Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Hanjun Li
- Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
| | - Yang Dong
- Department of Orthopaedics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
| | - Tingting Tang
- Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
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Zhang Y, Yu H, Wang D, Lei X, Meng Y, Zhang N, Chen F, Lv L, Pan Q, Qin H, Zhang Z, van Aalten DMF, Yuan K. Protein O-GlcNAcylation homeostasis regulates facultative heterochromatin to fine-tune sog-Dpp signaling during Drosophila early embryogenesis. J Genet Genomics 2023; 50:948-959. [PMID: 37286164 DOI: 10.1016/j.jgg.2023.05.014] [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: 12/17/2022] [Revised: 04/30/2023] [Accepted: 05/18/2023] [Indexed: 06/09/2023]
Abstract
Protein O-GlcNAcylation is a monosaccharide post-translational modification maintained by two evolutionarily conserved enzymes, O-GlcNAc transferase (OGT) and O-GlcNAcase (OGA). Mutations in human OGT have recently been associated with neurodevelopmental disorders, although the mechanisms linking O-GlcNAc homeostasis to neurodevelopment are not understood. Here, we investigate the effects of perturbing protein O-GlcNAcylation using transgenic Drosophila lines that overexpress a highly active OGA. We reveal that temporal reduction of protein O-GlcNAcylation in early embryos leads to reduced brain size and olfactory learning in adult Drosophila. Downregulation of O-GlcNAcylation induced by the exogenous OGA activity promotes nuclear foci formation of Polycomb-group protein Polyhomeotic and the accumulation of excess K27 trimethylation of histone H3 (H3K27me3) at the mid-blastula transition. These changes interfere with the zygotic expression of several neurodevelopmental genes, particularly shortgastrulation (sog), a component of an evolutionarily conserved sog-Decapentaplegic (Dpp) signaling system required for neuroectoderm specification. Our findings highlight the importance of early embryonic O-GlcNAcylation homeostasis for the fidelity of facultative heterochromatin redeployment and initial cell fate commitment of neuronal lineages, suggesting a possible mechanism underpinning OGT-associated intellectual disability.
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Affiliation(s)
- Yaowen Zhang
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Haibin Yu
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Dandan Wang
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Xiaoyun Lei
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Yang Meng
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Na Zhang
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Fang Chen
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Lu Lv
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Qian Pan
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Hongtao Qin
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, Hunan University, Changsha, Hunan 410082, China
| | - Zhuohua Zhang
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Daan M F van Aalten
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; Division of Cell and Developmental Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK; Department of Molecular Biology and Genetics, University of Aarhus, Aarhus 8000, Denmark.
| | - Kai Yuan
- Center for Medical Genetics, School of Life Sciences & Hunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; The Biobank of Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
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40
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Zhou Y, Xue T, Cheng Y, Wang J, Dong F, Jia S, Zhang F, Wang X, Lv X, Wang H, Yuan K, Yu D. The changes of intrinsic connectivity contrast in young smokers. Addict Biol 2023; 28:e13347. [PMID: 38017637 DOI: 10.1111/adb.13347] [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: 04/02/2023] [Revised: 07/07/2023] [Accepted: 09/26/2023] [Indexed: 11/30/2023]
Abstract
Previous studies demonstrated that reward circuit plays an important role in smoking. The differences of functional and structural connectivity were found among several brain regions such as thalamus and frontal lobe. However, few studies focused on functional connectivity (FC) in whole-brain voxel level of young smokers. In this study, intrinsic connectivity contrast (ICC) was used to perform voxel-based whole-brain analyses in 55 young smokers and 55 matched non-smokers to identify brain regions with significant group differences. ICC results showed that the connectivity of young smokers in medial frontal cortex (MedFC), supramarginal gyrus anterior division left (L_aSMG), central opercular cortex left (L_CO) and middle frontal gyrus left (L_MidFG) showed a significantly lower trend compared with the non-smokers. The seed-based FC analysis about MedFC indicated that young smokers showed reduced connectivity between the MedFC and left hippocampus, left amygdala compared to non-smokers. Correlation analysis showed that the ICC of MedFC in young smokers was significantly negatively correlated with Fagerstrom test for nicotine dependence (FTND) and Questionnaire on Smoking Urges (QSU). The FC between the MedFC and left hippocampus, left amygdala was significantly negatively correlated with Pack_years. The mediation analysis indicated that ICC of MedFC completely mediated FTND and QSU of young smokers. The results suggest that nicotine accumulation may affect the communication of the frontal lobe with the whole brain to some extent, leading to changes in smoking cravings. The above research also provides in-depth insights into the mechanism of adolescent smoking addiction and related intervention treatment.
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Affiliation(s)
- Yang Zhou
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Ting Xue
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Yongxin Cheng
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Juan Wang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Fang Dong
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Shaodi Jia
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Fan Zhang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Xiaoqing Wang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Xiaoqi Lv
- College of Information Engineering, Inner Mongolia University of Technology, Hohhot, Inner Mongolia, China
| | - Hongde Wang
- Xilinguole Meng Mongolian General Hospital, Xilinhaote, Inner Mongolia, China
| | - Kai Yuan
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
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Zhou Y, Xia X, Yuan K, Qin D. Editorial: Reviews in neuropsychology. Front Psychol 2023; 14:1327860. [PMID: 38022918 PMCID: PMC10668019 DOI: 10.3389/fpsyg.2023.1327860] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 10/30/2023] [Indexed: 12/01/2023] Open
Affiliation(s)
- Yang Zhou
- Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Neuropsychiatric Diseases, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
- The First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
- Open and Shared Public Science and Technology Service Platform of Traditional Chinese Medicine Science and Technology Resources in Yunnan, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
| | - Xiansong Xia
- Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Neuropsychiatric Diseases, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
- The Department of Educational Administration, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
| | - Kai Yuan
- Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Neuropsychiatric Diseases, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
- The Second School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
| | - Dongdong Qin
- Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Neuropsychiatric Diseases, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
- Open and Shared Public Science and Technology Service Platform of Traditional Chinese Medicine Science and Technology Resources in Yunnan, Yunnan University of Chinese Medicine, Kunming, Yunnan, China
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Manza P, Tomasi D, Shokri-Kojori E, Zhang R, Kroll D, Feldman D, McPherson K, Biesecker C, Dennis E, Johnson A, Yuan K, Wang WT, Yonga MV, Wang GJ, Volkow ND. Neural circuit selective for fast but not slow dopamine increases in drug reward. Nat Commun 2023; 14:6408. [PMID: 37938560 PMCID: PMC10632365 DOI: 10.1038/s41467-023-41972-6] [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] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 09/20/2023] [Indexed: 11/09/2023] Open
Abstract
The faster a drug enters the brain, the greater its addictive potential, yet the brain circuits underlying the rate dependency to drug reward remain unresolved. With simultaneous PET-fMRI we linked dynamics of dopamine signaling, brain activity/connectivity, and self-reported 'high' in 20 adults receiving methylphenidate orally (results in slow delivery) and intravenously (results in fast delivery) (trial NCT03326245). We estimated speed of striatal dopamine increases to oral and IV methylphenidate and then tested where brain activity was associated with slow and fast dopamine dynamics (primary endpoint). We then tested whether these brain circuits were temporally associated with individual 'high' ratings to methylphenidate (secondary endpoint). A corticostriatal circuit comprising the dorsal anterior cingulate cortex and insula and their connections with dorsal caudate was activated by fast (but not slow) dopamine increases and paralleled 'high' ratings. These data provide evidence in humans for a link between dACC/insula activation and fast but not slow dopamine increases and document a critical role of the salience network in drug reward.
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Affiliation(s)
- Peter Manza
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
| | - Dardo Tomasi
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Ehsan Shokri-Kojori
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Rui Zhang
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Danielle Kroll
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Dana Feldman
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Katherine McPherson
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Catherine Biesecker
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Evan Dennis
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Allison Johnson
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, PR China
| | - Wen-Tung Wang
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Michele-Vera Yonga
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Gene-Jack Wang
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
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Wang Y, Genon S, Dong D, Zhou F, Li C, Yu D, Yuan K, He Q, Qiu J, Feng T, Chen H, Lei X. Covariance patterns between sleep health domains and distributed intrinsic functional connectivity. Nat Commun 2023; 14:7133. [PMID: 37932259 PMCID: PMC10628193 DOI: 10.1038/s41467-023-42945-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 01/15/2023] [Accepted: 10/25/2023] [Indexed: 11/08/2023] Open
Abstract
Sleep health is both conceptually and operationally a composite concept containing multiple domains of sleep. In line with this, high dependence and interaction across different domains of sleep health encourage a transition in sleep health research from categorical to dimensional approaches that integrate neuroscience and sleep health. Here, we seek to identify the covariance patterns between multiple sleep health domains and distributed intrinsic functional connectivity by applying a multivariate approach (partial least squares). This multivariate analysis reveals a composite sleep health dimension co-varying with connectivity patterns involving the attentional and thalamic networks and which appear relevant at the neuromolecular level. These findings are further replicated and generalized to several unseen independent datasets. Critically, the identified sleep-health related connectome shows diagnostic potential for insomnia disorder. These results together delineate a potential brain connectome biomarker for sleep health with high potential for clinical translation.
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Affiliation(s)
- Yulin Wang
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Sarah Genon
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute for Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Debo Dong
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Feng Zhou
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Chenyu Li
- Sleep Center, Department of Brain Disease, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
| | - Dahua Yu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shanxi, China
| | - Qinghua He
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Tingyong Feng
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Hong Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.
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Xia F, Zhang H, Yang H, Zheng M, Min W, Sun C, Yuan K, Yang P. Targeting polyketide synthase 13 for the treatment of tuberculosis. Eur J Med Chem 2023; 259:115702. [PMID: 37544185 DOI: 10.1016/j.ejmech.2023.115702] [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: 06/17/2023] [Revised: 07/15/2023] [Accepted: 07/29/2023] [Indexed: 08/08/2023]
Abstract
Tuberculosis (TB) is one of the most threatening diseases for humans, however, the drug treatment strategy for TB has been stagnant and inadequate, which could not meet current treatment needs. TB is caused by Mycobacterial tuberculosis, which has a unique cell wall that plays a crucial role in its growth, virulence, and drug resistance. Polyketide synthase 13 (Pks13) is an essential enzyme that catalyzes the biosynthesis of the cell wall and its critical role is only found in Mycobacteria. Therefore, Pks13 is a promising target for developing novel anti-TB drugs. In this review, we first introduced the mechanism of targeting Pks13 for TB treatment. Subsequently, we focused on summarizing the recent advance of Pks13 inhibitors, including the challenges encountered during their discovery and the rational design strategies employed to overcome these obstacles, which could be helpful for the development of novel Pks13 inhibitors in the future.
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Affiliation(s)
- Fei Xia
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Haoling Zhang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Huanaoyu Yang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Mingming Zheng
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Wenjian Min
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Chengliang Sun
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
| | - Kai Yuan
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
| | - Peng Yang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing, 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China; Institute of Innovative Drug Discovery and Development, China Pharmaceutical University, Nanjing, 211198, China.
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Zhu XD, Fan YF, Zhao Y, Song XY, Liu XS, Gao ZJ, Yuan K. Thymidine kinase 1 as a target is regulated by the hsa-let-7b-5p/LINC00665 axis and affects NSCLC prognosis. Heliyon 2023; 9:e21328. [PMID: 37954276 PMCID: PMC10632479 DOI: 10.1016/j.heliyon.2023.e21328] [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: 05/24/2023] [Revised: 10/14/2023] [Accepted: 10/19/2023] [Indexed: 11/14/2023] Open
Abstract
Background In the past, multiple studies have offered incremental evidence that indicates that competitive endogenous RNA (ceRNA) regulatory networks are involved in tumor growth and present novel therapeutic targets. Herein, we investigated the impact of thymidine kinase 1 (TK1)-related ceRNA networks on the prognosis of non-small cell lung cancer (NSCLC). Methods TK1 expression data in NSCLC and normal tissue samples were retrieved from the Cancer Genome Atlas (TCGA) database and were then compared. Thereafter, the findings of the immunohistochemical staining experiments and clinical follow-up data derived from patients with NSCLC were used for conducting prognostic analysis. The starBase database was searched to determine TK1-targeted microRNAs and long non-coding RNAs, and clinical data from TCGA were used for survival analysis to construct a ceRNA network associated with TK1 expression and prognosis. Finally, the roles played by methylation and immunity in the prognosis and treatment of NSCLC were analyzed. Results Our findings revealed that the cancer tissues expressed significantly higher TK1 levels than normal tissues, and the follow-up clinical data revealed that the prognosis was generally worse in the high-expression patients than in the low-expression patients. In addition, clinical data collected from the starBase and TCGA databases showed that the LINC00665/has-let-7b-5p/TK1 network could influence the growth and prognosis of NSCLC. It was also noted that the TK1 methylation site was correlated with the prognosis of NSCLC, and immunoprognostic analysis further indicated that patients with higher TK1 expression levels displayed a worse prognosis. Conclusion When the regulatory network of LINC00665/has-let-7b-5p/TK1 was assessed, it was observed that elevated TK1 levels may affect the prognosis of NSCLC. Therefore, it could be considered a prognostic biomarker and a probable therapeutic target for predicting NSCLC prognosis.
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Affiliation(s)
- Xu-Dong Zhu
- Department of Thoracic Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China
| | - Yong-Fei Fan
- Department of Thoracic Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China
| | - Yi Zhao
- Department of Thoracic Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China
| | - Xue-Yu Song
- Department of Thoracic Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China
| | - Xiang-Sen Liu
- Department of Thoracic Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China
| | - Zhao-Jia Gao
- Department of Thoracic Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China
- Heart and Lung Disease Laboratory, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China
| | - Kai Yuan
- Department of Thoracic Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China
- Heart and Lung Disease Laboratory, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China
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Li C, Wang H, Jiang H, Shao Y, Huang G, Yuan K, Wei S. Family aggregation and prevalence of other autoimmune diseases in SAPHO syndrome. Heliyon 2023; 9:e21541. [PMID: 38027688 PMCID: PMC10654150 DOI: 10.1016/j.heliyon.2023.e21541] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 10/15/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Objective SAPHO (Synovitis, Acne, Pustulosis, Hyperostosis and Osteitis) syndrome is a heterogeneous disease that clinically manifests as chronic inflammatory osteoarticular and dermatological lesions. Few reports have described familial clustering of SAPHO syndrome cases. This research aimed to illustrate the family aggregation of SAPHO syndrome and investigate the prevalence of autoimmune disorders among SAPHO syndrome patients and first-degree relatives in a large cohort. Methods We retrospectively reviewed the medical records of 233 SAPHO patients diagnosed at Peking Union Medical College Hospital. Direct phone calls were made to each first-degree relatives. All relatives of the patients who reported SAPHO syndrome were asked for a detailed outpatient evaluation. Results A total of 233 patients and 1227 first-degree relatives were recruited. Six (2.6 %) patients had positive SAPHO family history, including four mother-daughter pairs and two sister pairs. Twenty-one (9.0 %) patients presented at least one kind of autoimmune disease, including 12 rheumatoid arthritis and 4 ulcerative colitis cases. Fifty-eight (24.9 %) SAPHO syndrome patients had 68 (5.5 %) first-degree relatives with at least one autoimmune disorder. The palmoplantar pustulosis, psoriasis vulgaris, and rheumatoid arthritis prevalence in our subjects were each higher than reference rates. Conclusion This is the first evaluation of familial aggregation for SAPHO syndrome in a large cohort. SAPHO syndrome has a weak familial aggregation. There is a relatively high prevalence of coexisting autoimmune disease among patients with SAPHO syndrome and their first-degree relatives. These results would prompt physicians to screen SAPHO syndrome patients and their family members for concomitant autoimmune diseases. Keypoints This study suggesting a potential genetic component in the pathogenesis of SAPHO syndrome. This study is the first to evaluate the family aggregation of SAPHO syndrome in a large cohort.
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Affiliation(s)
- Chen Li
- Department of Rheumatology, Fangshan Hospital Beijing University of Chinese Medicine, Beijing, China
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Hesong Wang
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Haixu Jiang
- School of Chinese Materia, Beijing University of Chinese Medicine, Beijing, China
| | - Yuming Shao
- Institute of Clinical Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Guangrui Huang
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Kai Yuan
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Shufeng Wei
- Department of Rheumatology, Fangshan Hospital Beijing University of Chinese Medicine, Beijing, China
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Deng J, Lin X, Zheng Y, Su S, Liu X, Yuan K, Shi L, Bao Y, Lu L. Manipulating critical memory periods to treat psychiatry disorders. Sci Bull (Beijing) 2023; 68:2477-2486. [PMID: 37689533 DOI: 10.1016/j.scib.2023.08.050] [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: 06/29/2023] [Revised: 08/10/2023] [Accepted: 08/27/2023] [Indexed: 09/11/2023]
Abstract
The persistence of pathological memory is the basis of several psychiatric disorders. Memory retrieval induces "reconsolidation", a time interval during which the original memory becomes labile and destabilized. Time- and retrieval-dependent processes and memory reconsolidation are critical periods for memory interference. Modulating memory reconsolidation has received considerable research attention as a treatment protocol for several psychiatric conditions such as posttraumatic stress disorder, addiction, anxiety, and trauma-related disorders. This specific time window provides an opportunity for intervention regarding mental diseases. This article reviews the effect of modulating memory reconsolidation using behavioral-, brain stimulation-, and pharmacological-based interventions, which may help bridge the gap between intervention in laboratories and application in clinical practice. The potential advantages, limitations, challenges, and opportunities for memory reconsolidation manipulations were discussed.
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Affiliation(s)
- Jiahui Deng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Xiao Lin
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yongbo Zheng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Sizhen Su
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Xiaoxing Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Kai Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China; School of Public Health, Peking University, Beijing 100191, China; Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China.
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China; National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China.
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Li L, Tang X, Wu B, Huang B, Yuan K, Chen Y. Advanced Architectures of Air Electrodes in Zinc-Air Batteries and Hydrogen Fuel Cells. Adv Mater 2023:e2308326. [PMID: 37823716 DOI: 10.1002/adma.202308326] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/05/2023] [Indexed: 10/13/2023]
Abstract
The air electrode is an essential component of air-demanding energy storage/conversion devices, such as zinc-air batteries (ZABs) and hydrogen fuel cells (HFCs), which determines the output power and stability of the devices. Despite atom-level modulation in catalyst design being recently achieved, the air electrodes have received much less attention, causing a stagnation in the development of air-demanding equipment. Herein, the evolution of air electrodes for ZABs and HFCs from the early stages to current requirements is reviewed. In addition, the operation mechanism and the corresponding electrocatalytic mechanisms of ZABs are summarized. In particular, by clarifying the air electrode interfaces of ZABs at different scales, several approaches to improve the air electrode in rechargeable ZABs are reviewed, including innovative electrode structures and bifunctional oxygen catalysts. Afterward, the operating mechanisms of proton-exchange-membrane fuel cells (PEMFCs) and anion-exchange-membrane fuel cells (AEMFCs) are explained. Subsequently, the strategies employed to enhance the efficiency of the membrane electrode assembly (MEA) in PEMFCs and AEMFCs, respectively, are highlighted and discussed in detail. Last, the prospects for air electrodes in ZABs and HFCs are considered by discussing the main challenges. The aim of this review is to facilitate the industrialization of ZABs and HFCs.
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Affiliation(s)
- Longbin Li
- College of Chemistry and Chemical Engineering, Gannan Normal University, Ganzhou, 341000, China
- College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry (IPEC)/Jiangxi Provincial Key Laboratory of New Energy Chemistry, Nanchang University, Nanchang, 330031, China
| | - Xiannong Tang
- College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry (IPEC)/Jiangxi Provincial Key Laboratory of New Energy Chemistry, Nanchang University, Nanchang, 330031, China
| | - Bing Wu
- National Engineering Research Center for Carbohydrate Synthesis/Key Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, 330022, China
| | - Bingyu Huang
- College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry (IPEC)/Jiangxi Provincial Key Laboratory of New Energy Chemistry, Nanchang University, Nanchang, 330031, China
| | - Kai Yuan
- College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry (IPEC)/Jiangxi Provincial Key Laboratory of New Energy Chemistry, Nanchang University, Nanchang, 330031, China
| | - Yiwang Chen
- College of Chemistry and Chemical Engineering, Gannan Normal University, Ganzhou, 341000, China
- College of Chemistry and Chemical Engineering/Institute of Polymers and Energy Chemistry (IPEC)/Jiangxi Provincial Key Laboratory of New Energy Chemistry, Nanchang University, Nanchang, 330031, China
- National Engineering Research Center for Carbohydrate Synthesis/Key Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education, Jiangxi Normal University, Nanchang, 330022, China
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Wang Y, Kanai M, Tan T, Kamariza M, Tsuo K, Yuan K, Zhou W, Okada Y, Huang H, Turley P, Atkinson EG, Martin AR. Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology. Cell Genom 2023; 3:100408. [PMID: 37868036 PMCID: PMC10589629 DOI: 10.1016/j.xgen.2023.100408] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 06/21/2023] [Accepted: 08/22/2023] [Indexed: 10/24/2023]
Abstract
Polygenic risk scores (PRSs) developed from multi-ancestry genome-wide association studies (GWASs), PRSmulti, hold promise for improving PRS accuracy and generalizability across populations. To establish best practices for leveraging the increasing diversity of genomic studies, we investigated how various factors affect the performance of PRSmulti compared with PRSs constructed from single-ancestry GWASs (PRSsingle). Through extensive simulations and empirical analyses, we showed that PRSmulti overall outperformed PRSsingle in understudied populations, except when the understudied population represented a small proportion of the multi-ancestry GWAS. Furthermore, integrating PRSs based on local ancestry-informed GWASs and large-scale, European-based PRSs improved predictive performance in understudied African populations, especially for less polygenic traits with large-effect ancestry-enriched variants. Our work highlights the importance of diversifying genomic studies to achieve equitable PRS performance across ancestral populations and provides guidance for developing PRSs from multiple studies.
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Affiliation(s)
- Ying Wang
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Masahiro Kanai
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Taotao Tan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | | | - Kristin Tsuo
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kai Yuan
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Wei Zhou
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Center for Infectious Disease Education and Research (CiDER), and Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo 113-0033, Japan
| | - the BioBank Japan Project
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Society of Fellows, Harvard University, Cambridge, MA 02138, USA
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Center for Infectious Disease Education and Research (CiDER), and Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo 113-0033, Japan
- Department of Economics, and Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Hailiang Huang
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Patrick Turley
- Department of Economics, and Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Elizabeth G. Atkinson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Alicia R. Martin
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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Spencer ZT, Ng VH, Benchabane H, Siddiqui GS, Duwadi D, Maines B, Bryant JM, Schwarzkopf A, Yuan K, Kassel SN, Mishra A, Pimentel A, Lebensohn AM, Rohatgi R, Gerber SA, Robbins DJ, Lee E, Ahmed Y. The USP46 deubiquitylase complex increases Wingless/Wnt signaling strength by stabilizing Arrow/LRP6. Nat Commun 2023; 14:6174. [PMID: 37798281 PMCID: PMC10556106 DOI: 10.1038/s41467-023-41843-0] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 09/20/2023] [Indexed: 10/07/2023] Open
Abstract
The control of Wnt receptor abundance is critical for animal development and to prevent tumorigenesis, but the mechanisms that mediate receptor stabilization remain uncertain. We demonstrate that stabilization of the essential Wingless/Wnt receptor Arrow/LRP6 by the evolutionarily conserved Usp46-Uaf1-Wdr20 deubiquitylase complex controls signaling strength in Drosophila. By reducing Arrow ubiquitylation and turnover, the Usp46 complex increases cell surface levels of Arrow and enhances the sensitivity of target cells to stimulation by the Wingless morphogen, thereby increasing the amplitude and spatial range of signaling responses. Usp46 inactivation in Wingless-responding cells destabilizes Arrow, reduces cytoplasmic accumulation of the transcriptional coactivator Armadillo/β-catenin, and attenuates or abolishes Wingless target gene activation, which prevents the concentration-dependent regulation of signaling strength. Consequently, Wingless-dependent developmental patterning and tissue homeostasis are disrupted. These results reveal an evolutionarily conserved mechanism that mediates Wnt/Wingless receptor stabilization and underlies the precise activation of signaling throughout the spatial range of the morphogen gradient.
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Affiliation(s)
- Zachary T Spencer
- Department of Molecular and Systems Biology and the Dartmouth Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA
| | - Victoria H Ng
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, 37232, USA
| | - Hassina Benchabane
- Department of Molecular and Systems Biology and the Dartmouth Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA
| | - Ghalia Saad Siddiqui
- Department of Molecular and Systems Biology and the Dartmouth Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA
| | - Deepesh Duwadi
- Department of Molecular and Systems Biology and the Dartmouth Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA
| | - Ben Maines
- Department of Molecular and Systems Biology and the Dartmouth Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA
| | - Jamal M Bryant
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, 37232, USA
| | - Anna Schwarzkopf
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, 37232, USA
| | - Kai Yuan
- Department of Molecular and Systems Biology and the Dartmouth Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA
| | - Sara N Kassel
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, 37232, USA
| | - Anant Mishra
- Department of Molecular and Systems Biology and the Dartmouth Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA
| | - Ashley Pimentel
- Department of Molecular and Systems Biology and the Dartmouth Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA
| | - Andres M Lebensohn
- Laboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Rajat Rohatgi
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Scott A Gerber
- Department of Molecular and Systems Biology and the Dartmouth Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, 03766, USA
| | - David J Robbins
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, 20057, USA
| | - Ethan Lee
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, 37232, USA.
| | - Yashi Ahmed
- Department of Molecular and Systems Biology and the Dartmouth Cancer Center, Geisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA.
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