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Geng T, Sun Q, He J, Chen Y, Cheng W, Shen J, Liu B, Zhang M, Wang S, Asan K, Song M, Gao Q, Song Y, Liu R, Liu X, Ding Y, Jing A, Ye X, Ren H, Zeng K, Zhou Y, Zhang B, Ma S, Liu W, Liu S, Ji J. CXXC5 drove inflammation and ovarian cancer proliferation via transcriptional activation of ZNF143 and EGR1. Cell Signal 2024; 119:111180. [PMID: 38642782 DOI: 10.1016/j.cellsig.2024.111180] [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: 01/01/2024] [Revised: 03/28/2024] [Accepted: 04/14/2024] [Indexed: 04/22/2024]
Abstract
CXXC5, a zinc-finger protein, is known for its role in epigenetic regulation via binding to unmethylated CpG islands in gene promoters. As a transcription factor and epigenetic regulator, CXXC5 modulates various signaling processes and acts as a key coordinator. Altered expression or activity of CXXC5 has been linked to various pathological conditions, including tumorigenesis. Despite its known role in cancer, CXXC5's function and mechanism in ovarian cancer are unclear. We analyzed multiple public databases and found that CXXC5 is highly expressed in ovarian cancer, with high expression correlating with poor patient prognosis. We show that CXXC5 expression is regulated by oxygen concentration and is a direct target of HIF1A. CXXC5 is critical for maintaining the proliferative potential of ovarian cancer cells, with knockdown decreasing and overexpression increasing cell proliferation. Loss of CXXC5 led to inactivation of multiple inflammatory signaling pathways, while overexpression activated these pathways. Through in vitro and in vivo experiments, we confirmed ZNF143 and EGR1 as downstream transcription factors of CXXC5, mediating its proliferative potential in ovarian cancer. Our findings suggest that the CXXC5-ZNF143/EGR1 axis forms a network driving ovarian cell proliferation and tumorigenesis, and highlight CXXC5 as a potential therapeutic target for ovarian cancer treatment.
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Affiliation(s)
- Ting Geng
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Qigang Sun
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Affiliated Hainan Hospital of Hainan Medical College, Haikou 570311, China
| | - Jingliang He
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yulu Chen
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Wenhao Cheng
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Jing Shen
- Department of Obstetrics and Gynecology, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, Hubei, China
| | - Bin Liu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Meiqi Zhang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Sen Wang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Kadirya Asan
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Mengwei Song
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Qi Gao
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yizhuo Song
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Ruotong Liu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Xing Liu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yuanyuan Ding
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Aixin Jing
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Xiaoqing Ye
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Hongyu Ren
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Kaile Zeng
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Ying Zhou
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Boyu Zhang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Shaojie Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China.
| | - Wei Liu
- Cancer Center and Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
| | - Shunfang Liu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Jing Ji
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China.
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2
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Ji J, Wang Y, Jing A, Ma L, Yang J, Ren D, Lv J, Lv M, Xu M, Yuan Q, Ma X, Qian Q, Wang W, Geng T, Ding Y, Qin J, Liu Y, Zhou J, Zuo L, Ma S, Wang X, Liu B. HIF1A-dependent overexpression of MTFP1 promotes lung squamous cell carcinoma development by activating the glycolysis pathway. Heliyon 2024; 10:e28440. [PMID: 38689964 PMCID: PMC11059513 DOI: 10.1016/j.heliyon.2024.e28440] [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: 04/02/2023] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 05/02/2024] Open
Abstract
Introduction Mitochondrial fission process 1 (MTFP1) is an inner mitochondrial membrane (IMM) protein implicated in the development and progression of various tumors, particularly lung squamous cell carcinoma (LUSC). This study aims to provide a more theoretical basis for the treatment of LUSC. Methods Through bioinformatics analysis, MTFP1 was identified as a novel target gene of HIF1A. MTFP1 expression in LUSC was examined using The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Proteomics Data Commons (PDC) databases. The Kaplan-Meier plotter (KM plotter) database was utilized to evaluate its correlation with patient survival. Western blot and chromatin immunoprecipitation (ChIP) assays were employed to confirm the regulatory relationship between MTFP1 and HIF1A. Additionally, cell proliferation, colony formation, and migration assays were conducted to investigate the mechanism by which MTFP1 enhances LUSC cell proliferation and metastasis. Results Our findings revealed that MTFP1 overexpression correlated with poor prognosis in LUSC patients(P < 0.05). Moreover, MTFP1 was closely associated with hypoxia and glycolysis in LUSC (R = 0.203; P < 0.001, R = 0.391; P < 0.001). HIF1A was identified as a positive regulator of MTFP1. Functional enrichment analysis demonstrated that MTFP1 played a role in controlling LUSC cell proliferation. Cell proliferation, colony formation, and migration assays indicated that MTFP1 promoted LUSC cell proliferation and metastasis by activating the glycolytic pathway (P < 0.05). Conclusions This study establishes MTFP1 as a novel HIF1A target gene that promotes LUSC growth by activating the glycolytic pathway. Investigating MTFP1 may contribute to the development of effective therapies for LUSC patients, particularly those lacking targeted oncogene therapies.
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Affiliation(s)
| | | | | | | | | | - Dexu Ren
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Jinyu Lv
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Mingxiao Lv
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Menghan Xu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Qing Yuan
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Xinhui Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Qilan Qian
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Weiling Wang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Ting Geng
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Yuanyuan Ding
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Jingting Qin
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Yuanyuan Liu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Jiaojiao Zhou
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Lingyi Zuo
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Shaojie Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Xiujun Wang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Bin Liu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
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3
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Singh AK, Allington G, Viviano S, McGee S, Kiziltug E, Ma S, Zhao S, Mekbib KY, Shohfi JP, Duy PQ, DeSpenza T, Furey CG, Reeves BC, Smith H, Sousa AMM, Cherskov A, Allocco A, Nelson-Williams C, Haider S, Rizvi SRA, Alper SL, Sestan N, Shimelis H, Walsh LK, Lifton RP, Moreno-De-Luca A, Jin SC, Kruszka P, Deniz E, Kahle KT. A novel SMARCC1 BAFopathy implicates neural progenitor epigenetic dysregulation in human hydrocephalus. Brain 2024; 147:1553-1570. [PMID: 38128548 PMCID: PMC10994532 DOI: 10.1093/brain/awad405] [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: 04/28/2023] [Revised: 10/01/2023] [Accepted: 10/26/2023] [Indexed: 12/23/2023] Open
Abstract
Hydrocephalus, characterized by cerebral ventriculomegaly, is the most common disorder requiring brain surgery in children. Recent studies have implicated SMARCC1, a component of the BRG1-associated factor (BAF) chromatin remodelling complex, as a candidate congenital hydrocephalus gene. However, SMARCC1 variants have not been systematically examined in a large patient cohort or conclusively linked with a human syndrome. Moreover, congenital hydrocephalus-associated SMARCC1 variants have not been functionally validated or mechanistically studied in vivo. Here, we aimed to assess the prevalence of SMARCC1 variants in an expanded patient cohort, describe associated clinical and radiographic phenotypes, and assess the impact of Smarcc1 depletion in a novel Xenopus tropicalis model of congenital hydrocephalus. To do this, we performed a genetic association study using whole-exome sequencing from a cohort consisting of 2697 total ventriculomegalic trios, including patients with neurosurgically-treated congenital hydrocephalus, that total 8091 exomes collected over 7 years (2016-23). A comparison control cohort consisted of 1798 exomes from unaffected siblings of patients with autism spectrum disorder and their unaffected parents were sourced from the Simons Simplex Collection. Enrichment and impact on protein structure were assessed in identified variants. Effects on the human fetal brain transcriptome were examined with RNA-sequencing and Smarcc1 knockdowns were generated in Xenopus and studied using optical coherence tomography imaging, in situ hybridization and immunofluorescence. SMARCC1 surpassed genome-wide significance thresholds, yielding six rare, protein-altering de novo variants localized to highly conserved residues in key functional domains. Patients exhibited hydrocephalus with aqueductal stenosis; corpus callosum abnormalities, developmental delay, and cardiac defects were also common. Xenopus knockdowns recapitulated both aqueductal stenosis and cardiac defects and were rescued by wild-type but not patient-specific variant SMARCC1. Hydrocephalic SMARCC1-variant human fetal brain and Smarcc1-variant Xenopus brain exhibited a similarly altered expression of key genes linked to midgestational neurogenesis, including the transcription factors NEUROD2 and MAB21L2. These results suggest de novo variants in SMARCC1 cause a novel human BAFopathy we term 'SMARCC1-associated developmental dysgenesis syndrome', characterized by variable presence of cerebral ventriculomegaly, aqueductal stenosis, developmental delay and a variety of structural brain or cardiac defects. These data underscore the importance of SMARCC1 and the BAF chromatin remodelling complex for human brain morphogenesis and provide evidence for a 'neural stem cell' paradigm of congenital hydrocephalus pathogenesis. These results highlight utility of trio-based whole-exome sequencing for identifying pathogenic variants in sporadic congenital structural brain disorders and suggest whole-exome sequencing may be a valuable adjunct in clinical management of congenital hydrocephalus patients.
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Affiliation(s)
- Amrita K Singh
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Garrett Allington
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Genetics, Yale University, New Haven, CT 06510, USA
| | - Stephen Viviano
- Department of Pediatrics, Yale University, New Haven, CT 06510, USA
| | | | - Emre Kiziltug
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Shaojie Ma
- Department of Genetics, Yale University, New Haven, CT 06510, USA
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
| | - Shujuan Zhao
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Departments of Genetics and Pediatrics, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Kedous Y Mekbib
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - John P Shohfi
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Phan Q Duy
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
| | - Tyrone DeSpenza
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
| | - Charuta G Furey
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Hannah Smith
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - André M M Sousa
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Adriana Cherskov
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
| | - August Allocco
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
| | | | - Shozeb Haider
- Department of Pharmaceutical and Biological Chemistry, University College London School of Pharmacy, London, WC1N 1AX, UK
- UCL Centre for Advanced Research Computing, University College London, London, WC1H 9RN, UK
| | - Syed R A Rizvi
- Department of Pharmaceutical and Biological Chemistry, University College London School of Pharmacy, London, WC1N 1AX, UK
| | - Seth L Alper
- Division of Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Division of Nephrology and Vascular Biology Research Center, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Nenad Sestan
- Department of Genetics, Yale University, New Haven, CT 06510, USA
- Department of Pediatrics, Yale University, New Haven, CT 06510, USA
| | - Hermela Shimelis
- Department of Radiology, Neuroradiology section, Kingston Health Sciences Centre, Queen's University Faculty of Health Sciences, Kingston, Ontario, Canada
| | - Lauren K Walsh
- Department of Radiology, Neuroradiology section, Kingston Health Sciences Centre, Queen's University Faculty of Health Sciences, Kingston, Ontario, Canada
| | - Richard P Lifton
- Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY 10065, USA
| | - Andres Moreno-De-Luca
- Department of Radiology, Neuroradiology section, Kingston Health Sciences Centre, Queen's University Faculty of Health Sciences, Kingston, Ontario, Canada
- Department of Radiology, Diagnostic Medicine Institute, Geisinger, Danville, PA, 17822, USA
| | - Sheng Chih Jin
- Departments of Genetics and Pediatrics, Washington University School of Medicine, St Louis, MO 63110, USA
| | | | - Engin Deniz
- Department of Pediatrics, Yale University, New Haven, CT 06510, USA
| | - Kristopher T Kahle
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA
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4
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Emani PS, Liu JJ, Clarke D, Jensen M, Warrell J, Gupta C, Meng R, Lee CY, Xu S, Dursun C, Lou S, Chen Y, Chu Z, Galeev T, Hwang A, Li Y, Ni P, Zhou X, Bakken TE, Bendl J, Bicks L, Chatterjee T, Cheng L, Cheng Y, Dai Y, Duan Z, Flaherty M, Fullard JF, Gancz M, Garrido-Martín D, Gaynor-Gillett S, Grundman J, Hawken N, Henry E, Hoffman GE, Huang A, Jiang Y, Jin T, Jorstad NL, Kawaguchi R, Khullar S, Liu J, Liu J, Liu S, Ma S, Margolis M, Mazariegos S, Moore J, Moran JR, Nguyen E, Phalke N, Pjanic M, Pratt H, Quintero D, Rajagopalan AS, Riesenmy TR, Shedd N, Shi M, Spector M, Terwilliger R, Travaglini KJ, Wamsley B, Wang G, Xia Y, Xiao S, Yang AC, Zheng S, Gandal MJ, Lee D, Lein ES, Roussos P, Sestan N, Weng Z, White KP, Won H, Girgenti MJ, Zhang J, Wang D, Geschwind D, Gerstein M. Single-cell genomics and regulatory networks for 388 human brains. bioRxiv 2024:2024.03.18.585576. [PMID: 38562822 PMCID: PMC10983939 DOI: 10.1101/2024.03.18.585576] [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] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Single-cell genomics is a powerful tool for studying heterogeneous tissues such as the brain. Yet, little is understood about how genetic variants influence cell-level gene expression. Addressing this, we uniformly processed single-nuclei, multi-omics datasets into a resource comprising >2.8M nuclei from the prefrontal cortex across 388 individuals. For 28 cell types, we assessed population-level variation in expression and chromatin across gene families and drug targets. We identified >550K cell-type-specific regulatory elements and >1.4M single-cell expression-quantitative-trait loci, which we used to build cell-type regulatory and cell-to-cell communication networks. These networks manifest cellular changes in aging and neuropsychiatric disorders. We further constructed an integrative model accurately imputing single-cell expression and simulating perturbations; the model prioritized ~250 disease-risk genes and drug targets with associated cell types.
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Affiliation(s)
- Prashant S Emani
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Jason J Liu
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Declan Clarke
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Matthew Jensen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Jonathan Warrell
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Chirag Gupta
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Ran Meng
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Che Yu Lee
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Siwei Xu
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Cagatay Dursun
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Shaoke Lou
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Yuhang Chen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Zhiyuan Chu
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
| | - Timur Galeev
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Ahyeon Hwang
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
- Mathematical, Computational and Systems Biology, University of California, Irvine, CA, 92697, USA
| | - Yunyang Li
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
- Department of Computer Science, Yale University, New Haven, CT, 06520, USA
| | - Pengyu Ni
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Xiao Zhou
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | | | - Jaroslav Bendl
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Lucy Bicks
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Tanima Chatterjee
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | | | - Yuyan Cheng
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Department of Opthalmology, Perlman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Yi Dai
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Ziheng Duan
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | | | - John F Fullard
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Michael Gancz
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Diego Garrido-Martín
- Department of Genetics, Microbiology and Statistics, Universitat de Barcelona, Barcelona, 08028, Spain
| | - Sophia Gaynor-Gillett
- Tempus Labs, Inc., Chicago, IL, 60654, USA
- Department of Biology, Cornell College, Mount Vernon, IA, 52314, USA
| | - Jennifer Grundman
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Natalie Hawken
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Ella Henry
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Gabriel E Hoffman
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Mental Illness Research Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
- Center for Precision Medicine and Translational Therapeutics, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
| | - Ao Huang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
| | - Yunzhe Jiang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Ting Jin
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | | | - Riki Kawaguchi
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Center for Autism Research and Treatment, Semel Institute, University of California, Los Angeles, CA, 90095, USA
| | - Saniya Khullar
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Jianyin Liu
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Junhao Liu
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Shuang Liu
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Shaojie Ma
- Department of Neuroscience, Yale University, New Haven, CT, 06510, USA
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Michael Margolis
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Samantha Mazariegos
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Jill Moore
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | | | - Eric Nguyen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Nishigandha Phalke
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Milos Pjanic
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Henry Pratt
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Diana Quintero
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | | | - Tiernon R Riesenmy
- Department of Statistics & Data Science, Yale University, New Haven, CT, 06520, USA
| | - Nicole Shedd
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Manman Shi
- Tempus Labs, Inc., Chicago, IL, 60654, USA
| | | | - Rosemarie Terwilliger
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA
| | | | - Brie Wamsley
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Gaoyuan Wang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Yan Xia
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Shaohua Xiao
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Andrew C Yang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Suchen Zheng
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Michael J Gandal
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Donghoon Lee
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, 98109, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, 98195, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98195, USA
| | - Panos Roussos
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Mental Illness Research Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
- Center for Precision Medicine and Translational Therapeutics, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale University, New Haven, CT, 06510, USA
| | - Zhiping Weng
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Kevin P White
- Yong Loo Lin School of Medicine, National University of Singapore, 117597, Singapore
| | - Hyejung Won
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Matthew J Girgenti
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA
- Wu Tsai Institute, Yale University, New Haven, CT, 06520, USA
- Clinical Neuroscience Division, National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Jing Zhang
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Daifeng Wang
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Daniel Geschwind
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Center for Autism Research and Treatment, Semel Institute, University of California, Los Angeles, CA, 90095, USA
- Department of Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Institute for Precision Health, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Mark Gerstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
- Department of Computer Science, Yale University, New Haven, CT, 06520, USA
- Department of Statistics & Data Science, Yale University, New Haven, CT, 06520, USA
- Department of Biomedical Informatics & Data Science, Yale University, New Haven, CT, 06520, USA
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5
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Li JX, Li ZJ, Zhang HM, Xu SS, Quan RZ, Zhang H, Lu MM, Wang XY, Ma S, Mi J, Ding H, Li XL. [The association between portal vein thrombosis and rebleeding after non-urgent endoscopic treatment of esophagogastric varices]. Zhonghua Yi Xue Za Zhi 2024; 104:682-689. [PMID: 38418167 DOI: 10.3760/cma.j.cn112137-20231110-01064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/01/2024]
Abstract
Objective: To investigate the association between portal vein thrombosis and rebleeding after non-urgent endoscopic treatment of esophagogastric varices. Methods: The cirrhotic patients with esophagogastric varices diagnosed in the People's Hospital of Zhengzhou University from January 2017 to March 2023 were retrospectively collected. The patients were divided into thrombotic group and non-thrombotic group according to the presence or absence of portal vein thrombosis. The failure rate of endoscopic treatment and rebleeding rate in different periods were compared between the two groups. Receiver operating characteristic (ROC) curve was used to select the best cutoff value of gastric varicose diameter that affected total rebleeding during follow-up in both groups. The influencing factors of rebleeding within 12 and 36 months in both groups were analyzed, and the influencing factors of rebleeding within 36 months in thrombus group were further analyzed. Results: A total of 106 patients were enrolled, including 53 patients in the thrombotic group [male 37, female 16, aged 18-78 (54±13) years] and 53 patients in the non-thrombotic group [male 37, female 16, aged 27-83 (55±12) years]. The follow-up time of the two groups were (20±15) and (25±15) months, respectively. The total rebleeding rate in the thrombotic group was higher than that in the non-thrombotic group [30.2% (16/53) vs 13.2% (7/53), P˂0.05]. The rebleeding rates within 6, 12, 24 and 36 months in the thrombotic group were higher than those in the non-thrombotic group [18.9% (10/53) vs 5.7% (3/53), 18.9% (10/53) vs 5.7% (3/53), 28.3% (15/53) vs 9.4% (5/53), 30.2% (16/53) vs 11.3% (6/53), all P˂0.05]. The best cut-off value of the diameter of gastric varices that affects the total rebleeding in the two groups was 10.4 mm (10 mm was selected as the best cut-off value for the convenience of practical clinical application). Hemoglobin ˂ 85 g/L (HR=0.202, 95%CI: 0.043-0.953, P=0.043), 10 mm ˂ the diameter of GV ≤ 15 mm (HR=5.321, 95%CI: 1.161-24.390, P=0.031) and endoscopic variceal ligation combined with endoscopic tissue adhesive injection (EVL+ETAI) (HR=7.172, 95%CI: 1.910-26.930, P=0.004) were the risk factors for the first gastroesophageal variceal rebleeding within 12 months after non-urgent endoscopic treatment. EVL+ETAI (HR=3.811, 95%CI: 1.441-10.084, P=0.007) and portal vein thrombosis (HR=4.026, 95%CI: 1.483-10.932, P=0.006) were the risk factors for the first gastroesophageal variceal rebleeding within 36 months after non-urgent endoscopic treatment. The study found that, 10 mm ˂ the diameter of GV ≤ 15 mm (HR=7.503, 95%CI: 1.568-35.890, P=0.012) was the risk factor for rebleeding within 36 months in the thrombotic group. Conclusion: Portal vein thrombosis is a risk factor for rebleeding after non-urgent endoscopic treatment of esophagogastric varices.
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Affiliation(s)
- J X Li
- Department of Gastroenterology, People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - Z J Li
- Department of Gastroenterology, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - H M Zhang
- Department of Gastroenterology, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - S S Xu
- Department of Gastroenterology, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - R Z Quan
- Department of Gastroenterology, People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - H Zhang
- Department of Gastroenterology, People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - M M Lu
- Department of Gastroenterology, People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - X Y Wang
- Department of Gastroenterology, People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - S Ma
- Department of Gastroenterology, People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - J Mi
- Department of Gastroenterology, People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - H Ding
- Department of Gastroenterology, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - X L Li
- Department of Gastroenterology, Henan Provincial People's Hospital, Zhengzhou 450003, China
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6
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Lobo RR, Siregar MU, da Silva SS, Monteiro AR, Salas-Solis G, Vicente ACS, Vinyard JR, Johnson ML, Ma S, Sarmikasoglou E, Coronella CJ, Hiibel SR, Faciola AP. Partial replacement of soybean meal with microalgae biomass on in vitro ruminal fermentation may reduce ruminal protein degradation. J Dairy Sci 2024; 107:1460-1471. [PMID: 37944802 DOI: 10.3168/jds.2023-24016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 09/20/2023] [Indexed: 11/12/2023]
Abstract
The objective of this study was to evaluate the effects of partially replacing soybean meal (SBM) with algal sources on in vitro ruminal fermentation. Using 6 fermenters in a 3 × 3 replicated Latin square with 3 periods of 10 d each, we tested 3 treatments: a control diet (CRT) with SBM at 17.8% of the diet dry matter (DM); and 50% SBM biomass replacement with either Chlorella pyrenoidosa (CHL); or Spirulina platensis (SPI). The basal diet was formulated to meet the requirements of a 680-kg Holstein dairy cow producing 45 kg/d of milk with 3.5% fat and 3% protein. All diets had a similar nutritional composition (16.0% CP; 34.9% NDF; 31.0% starch, DM basis) and fermenters were provided with 106 g DM/d split into 2 portions. After 7 d of adaptation, samples were collected for 3 d of each period for analyses of ruminal fermentation at 0, 1, 2, 4, 6, and 8 h after morning feeding for evaluation of the ruminal fermentation kinetics. For the evaluation of the daily production of total metabolites and for the evaluation of nutrient degradability, samples from the effluent containers were collected daily. Statistical analysis was performed with the MIXED procedure of SAS with treatment, time, and their interactions considered as fixed effects; day, square, and fermenter were considered as random effects. Orthogonal contrasts (CRT vs. algae; and CHL vs. SPI) were used to depict the treatment effect, and significance was declared when P ≤ 0.05. Fermenters that received algae-based diets had a greater propionate molar concentration and molar proportion when compared with the fermenters fed CRT diets. In addition, those algae-fed fermenters had lower branched short-chain fatty acids (BSCFA) and isoacids (IA), which are biomarkers of ruminal protein degradation, along with lower ammonia (NH3-N) concentration and greater nonammonia nitrogen (NAN). When contrasting with fermenters fed SPI-diets, fermenters fed based CHL-diets had a lower molar concentration of BSCFA and IA, along with lower NH3-N concentration and flow, and greater NAN, bacterial nitrogen flow, and efficiency of nitrogen utilization. Those results indicate that CHL protein may be more resistant to ruminal degradation, which would increase efficiency of nitrogen utilization. In summary, partially replacing SBM with algae biomass, especially with CHL, is a promising strategy to improve the efficiency of nitrogen utilization, due to the fact that fermenters fed CHL-based diets resulted in a reduction in BSCFA and IA, which are markers of protein degradation, and it would improve the efficiency of nitrogen utilization. However, further validation using in vivo models are required.
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Affiliation(s)
- R R Lobo
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608
| | - M U Siregar
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608
| | - S S da Silva
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608
| | - A R Monteiro
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608; Animal Nutrition Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, SP, Brazil, 13400-970
| | - G Salas-Solis
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608
| | - A C S Vicente
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608
| | - J R Vinyard
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608
| | - M L Johnson
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608
| | - S Ma
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608
| | - E Sarmikasoglou
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608
| | - C J Coronella
- Department of Chemical and Materials Engineering, University of Nevada, Reno, NV 89557
| | - S R Hiibel
- Department of Chemical and Materials Engineering, University of Nevada, Reno, NV 89557
| | - A P Faciola
- Department of Animal Sciences, University of Florida, Gainesville, FL 32608.
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7
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Sonthalia S, Li G, Blanco XM, Casella A, Liu J, Stein-O’Brien G, Caffo B, Adkins RS, Orvis J, Hertzano R, Mahurkar A, Gillis J, Werner J, Ma S, Micali N, Sestan N, Rakic P, Santpere G, Ament SA, Colantuoni C. in silico transcriptome dissection of neocortical excitatory neurogenesis via joint matrix decomposition and transfer learning. bioRxiv 2024:2024.02.26.581612. [PMID: 38464021 PMCID: PMC10925183 DOI: 10.1101/2024.02.26.581612] [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] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
The rising quality and amount of multi-omic data across biomedical science demands that we build innovative solutions to harness their collective discovery potential. From publicly available repositories, we have assembled and curated a compendium of gene-level transcriptomic data focused on mammalian excitatory neurogenesis in the neocortex. This collection is open for exploration by both computational and cell biologists at nemoanalytics.org, and this report forms a demonstration of its utility. Applying our novel structured joint decomposition approach to mouse, macaque and human data from the collection, we define transcriptome dynamics that are conserved across mammalian excitatory neurogenesis and which map onto the genetics of human brain structure and disease. Leveraging additional data within NeMO Analytics via projection methods, we chart the dynamics of these fundamental molecular elements of neurogenesis across developmental time and space and into postnatal life. Reversing the direction of our investigation, we use transcriptomic data from laminar-specific dissection of adult human neocortex to define molecular signatures specific to excitatory neuronal cell types resident in individual layers of the mature neocortex, and trace their emergence across development. We show that while many lineage defining transcription factors are most highly expressed at early fetal ages, the laminar neuronal identities which they drive take years to decades to reach full maturity. Finally, we interrogated data from stem-cell derived cerebral organoid systems demonstrating that many fundamental elements of in vivo development are recapitulated with high-fidelity in vitro, while specific transcriptomic programs in neuronal maturation are absent. We propose these analyses as specific applications of the general approach of combining joint decomposition with large curated collections of analysis-ready multi-omics data matrices focused on particular cell and disease contexts. Importantly, these open environments are accessible to, and must be fueled with emerging data by, cell biologists with and without coding expertise.
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Affiliation(s)
- Shreyash Sonthalia
- Depts. of Neurology, Neuroscience and Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Guangyan Li
- Depts. of Neurology, Neuroscience and Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Dept. of Biostatistics, Johns Hopkins School of Public Health, Baltimore, MD, USA
| | - Xoel Mato Blanco
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
- Hospital del Mar Research Institute, Parc de Recerca Biomèdica de Barcelona, Catalonia, Spain
| | - Alex Casella
- University of Maryland, Institute for Genome Sciences, Baltimore, MD, USA
- Medical Scientist Training Program, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jinrui Liu
- Depts. of Neurology, Neuroscience and Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Genevieve Stein-O’Brien
- Depts. of Neurology, Neuroscience and Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Brian Caffo
- Dept. of Biostatistics, Johns Hopkins School of Public Health, Baltimore, MD, USA
| | - Ricky S. Adkins
- University of Maryland, Institute for Genome Sciences, Baltimore, MD, USA
| | - Joshua Orvis
- University of Maryland, Institute for Genome Sciences, Baltimore, MD, USA
| | - Ronna Hertzano
- Neurotology Branch, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD, USA
| | - Anup Mahurkar
- University of Maryland, Institute for Genome Sciences, Baltimore, MD, USA
| | | | | | | | | | | | | | - Gabriel Santpere
- Hospital del Mar Research Institute, Parc de Recerca Biomèdica de Barcelona, Catalonia, Spain
| | - Seth A. Ament
- University of Maryland, Institute for Genome Sciences, Baltimore, MD, USA
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
- UM-MIND Institute for Neuroscience Discovery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Carlo Colantuoni
- Depts. of Neurology, Neuroscience and Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
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8
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Liu W, Zhang C, Zhang H, Ma S, Deng J, Wang D, Chang Z, Yang J. Molecular basis for curvature formation in SepF polymerization. Proc Natl Acad Sci U S A 2024; 121:e2316922121. [PMID: 38381790 PMCID: PMC10907229 DOI: 10.1073/pnas.2316922121] [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: 10/08/2023] [Accepted: 11/20/2023] [Indexed: 02/23/2024] Open
Abstract
The self-assembly of proteins into curved structures plays an important role in many cellular processes. One good example of this phenomenon is observed in the septum-forming protein (SepF), which forms polymerized structures with uniform curvatures. SepF is essential for regulating the thickness of the septum during bacteria cell division. In Bacillus subtilis, SepF polymerization involves two distinct interfaces, the β-β and α-α interfaces, which define the assembly unit and contact interfaces, respectively. However, the mechanism of curvature formation in this step is not yet fully understood. In this study, we employed solid-state NMR (SSNMR) to compare the structures of cyclic wild-type SepF assemblies with linear assemblies resulting from a mutation of G137 on the β-β interface. Our results demonstrate that while the sequence differences arise from the internal assembly unit, the dramatic changes in the shape of the assemblies depend on the α-α interface between the units. We further provide atomic-level insights into how the angular variation of the α2 helix on the α-α interface affects the curvature of the assemblies, using a combination of SSNMR, cryo-electron microscopy, and simulation methods. Our findings shed light on the shape control of protein assemblies and emphasize the importance of interhelical contacts in retaining curvature.
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Affiliation(s)
- Wenjing Liu
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan430071, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing100049, People’s Republic of China
| | - Chang Zhang
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan430071, People’s Republic of China
| | - Huawei Zhang
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, People’s Republic of China
- Southern University of Science and Technology, Shenzhen518055, People’s Republic of China
| | - Shaojie Ma
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan430071, People’s Republic of China
| | - Jing Deng
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan430071, People’s Republic of China
| | - Daping Wang
- Southern University of Science and Technology, Shenzhen518055, People’s Republic of China
- Department of Orthopedics, Shenzhen Intelligent Orthopaedics and Biomedical Innovation Platform, Guangdong Provincial Research Center for Artificial Intelligence and Digital Orthopedic Technology, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen518000, People’s Republic of China
| | - Ziwei Chang
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan430071, People’s Republic of China
| | - Jun Yang
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan430071, People’s Republic of China
- Interdisciplinary Institute of NMR and Molecular Sciences, School of Chemistry and Chemical Engineering, The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan430081, People’s Republic of China
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9
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Chen B, Zhu Y, Ma S, Zhao B, Feng F. A semi-packed gas chromatographic column with staggered elliptic cylindrical post arrays. Analyst 2024; 149:1579-1585. [PMID: 38288594 DOI: 10.1039/d3an02016a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
A semi-packed gas chromatographic column has the advantages of high specific surface area and low column pressure. We report that the stagnation regions formed in the adjacent posts along the channel of the semi-packed columns can decrease the area and height of chromatographic peaks, which makes it difficult to detect low-concentration mixed gases. A semi-packed column with staggered elliptic cylindrical post arrays (SC-S) made using a micro-electro-mechanical system technique is presented, and the separation performance of SC-S is compared with that of a semi-packed column with aligned elliptic cylindrical post arrays (SC-A). The simulation results show that the width of stagnation regions in SC-S is 86.89% smaller than that in SC-A. The experimental results indicate that the area and height of chromatographic peaks increased as stagnation regions reduced. In the separation of the alkane mixture from C8 through C10 with 10 ppm concentration, the chromatographic peak of decane was hardly identified in SC-A while the chromatographic peak in SC-S was still clearly visible. The chromatographic peak heights of octane and nonane were increased by 65.06% and 130.00%, respectively, in SC-S. The peak areas of octane and nonane were increased by 120.45% and 168.18%, respectively.
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Affiliation(s)
- Boxin Chen
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuchen Zhu
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shaojie Ma
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bin Zhao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fei Feng
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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10
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Zong D, Liu H, Gan P, Ma S, Liang H, Yu J, Li P, Jiang T, Sahu SK, Yang Q, Zhang D, Li L, Qiu X, Shao W, Yang J, Li Y, Guang X, He C. Chromosomal-scale genomes of two Rosa species provide insights into genome evolution and ascorbate accumulation. Plant J 2024; 117:1264-1280. [PMID: 37964640 DOI: 10.1111/tpj.16543] [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] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 10/07/2023] [Accepted: 10/30/2023] [Indexed: 11/16/2023]
Abstract
Rosa roxburghii and Rosa sterilis, two species belonging to the Rosaceae family, are widespread in the southwest of China. These species have gained recognition for their remarkable abundance of ascorbate in their fresh fruits, making them an ideal vitamin C resource. In this study, we generated two high-quality chromosome-scale genome assemblies for R. roxburghii and R. sterilis, with genome sizes of 504 and 981.2 Mb, respectively. Notably, we present a haplotype-resolved, chromosome-scale assembly for diploid R. sterilis. Our results indicated that R. sterilis originated from the hybridization of R. roxburghii and R. longicuspis. Genome analysis revealed the absence of recent whole-genome duplications in both species and identified a series of duplicated genes that possibly contributing to the accumulation of flavonoids. We identified two genes in the ascorbate synthesis pathway, GGP and GalLDH, that show signs of positive selection, along with high expression levels of GDP-d-mannose 3', 5'-epimerase (GME) and GDP-l-galactose phosphorylase (GGP) during fruit development. Furthermore, through co-expression network analysis, we identified key hub genes (MYB5 and bZIP) that likely regulate genes in the ascorbate synthesis pathway, promoting ascorbate biosynthesis. Additionally, we observed the expansion of terpene synthase genes in these two species and tissue expression patterns, suggesting their involvement in terpenoid biosynthesis. Our research provides valuable insights into genome evolution and the molecular basis of the high concentration of ascorbate in these two Rosa species.
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Affiliation(s)
- Dan Zong
- Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - Huan Liu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Peihua Gan
- Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - Shaojie Ma
- Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - Hongping Liang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Jinde Yu
- Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - Peilin Li
- Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - Tao Jiang
- Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Qingqing Yang
- Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - Deguo Zhang
- Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - Laigeng Li
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 20032, China
| | - Xu Qiu
- Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - Wenwen Shao
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | | | - Yonghe Li
- Yunnan Agricultural University, Kunming, 650201, China
| | - Xuanmin Guang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Chengzhong He
- Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
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11
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Zuo QJ, He LL, Ma S, Zhang GR, Zhang TT, Wang Y, Guo YF. [Effects of canagliflozin on amino acid metabolism in atherosclerotic mice]. Zhonghua Xin Xue Guan Bing Za Zhi 2024; 52:64-71. [PMID: 38220457 DOI: 10.3760/cma.j.cn112148-20231009-00275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
Objective: To explore the possible anti-atherosclerotic mechanisms of glucose co-transporter-2 inhibitor canagliflozin. Methods: ApoE-/-mice fed on Western diet were randomly assigned into the model group (n=10) and the canagliflozin group (n=10). C57BL/6J mice fed on normal diet were chosen as the control group (n=10). Mice in the canagliflozin group were gavaged with canagliflozin for 14 weeks. The presence and severity of atherosclerosis were evaluated with HE and oil red O stainings in aortic root section slices. PCR assay was performed to determine the mRNA expression levels of nitric oxide synthase. Hepatic transcriptome analysis and hepatic amino acid detection were conducted using RNA-seq and targeted LC-MS, respectively. Results: HE staining and oil red O staining of the aortic root showed that AS models were successfully established in ApoE-/-mice fed on Western diet for 14 weeks. Canagliflozin alleviated the severity of atherosclerosis in pathology. Hepatic transcriptome analysis indicated that canagliflozin impacted on amino acid metabolism, especially arginine synthesis in ApoE-/-mice. Targeted metabolomics analysis of amino acids showed that canagliflozin reduced hepatic levels of L-serine, L-aspartic acid, tyrosine, L-hydroxyproline, and L-citrulline, but raised the hepatic level of L-arginine. Compared to the model group, the canagliflozin group exhibited higher serum arginine and nitric oxide levels as well as elevated nitric oxide mRNA expression in aortic tissues (P<0.05). Conclusion: Canagliflozin regulated the amino acid metabolism, reduced the levels of glucogenic amino acids,and promoted the synthesis of arginine in atherosclerotic mice.
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Affiliation(s)
- Q J Zuo
- Department of Geriatric Cardiology, Hebei General Hospital, Shijiazhuang 050051, China
| | - L L He
- Department of Geriatric Cardiology, Hebei General Hospital, Shijiazhuang 050051, China
| | - S Ma
- Department of Pain Medcine, Hebei General Hospital, Shijiazhuang 050051, China
| | - G R Zhang
- Department of Cardiology, the Third Hospital of Shijiazhuang City, Shijiazhuang 050000, China
| | - T T Zhang
- Department of Geriatric Cardiology, Hebei General Hospital, Shijiazhuang 050051, China
| | - Y Wang
- Department of Geriatric Cardiology, Hebei General Hospital, Shijiazhuang 050051, China
| | - Y F Guo
- Department of Geriatric Cardiology, Hebei General Hospital, Shijiazhuang 050051, China
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12
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Ji J, Jing A, Ding Y, Ma X, Qian Q, Geng T, Cheng W, Zhang M, Sun Q, Ma S, Wang X, Yuan Q, Xu M, Qin J, Ma L, Yang J, He J, Du Q, Xia M, Xu Y, Chen Z, Zhu L, Liu W, Liu S, Liu B. FBXO5-mediated RNF183 degradation prevents endoplasmic reticulum stress-induced apoptosis and promotes colon cancer progression. Cell Death Dis 2024; 15:33. [PMID: 38212299 PMCID: PMC10784456 DOI: 10.1038/s41419-024-06421-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 12/16/2023] [Accepted: 01/02/2024] [Indexed: 01/13/2024]
Abstract
Endoplasmic reticulum (ER) stress induces the unfolded protein response (UPR), and prolonged ER stress leads to cell apoptosis. Despite increasing research in this area, the underlying molecular mechanisms remain unclear. Here, we discover that ER stress upregulates the UPR signaling pathway while downregulating E2F target gene expression and inhibiting the G2/M phase transition. Prolonged ER stress decreases the mRNA levels of E2F2, which specifically regulates the expression of F-Box Protein 5(FBXO5), an F-box protein that functions as an inhibitor of the anaphase-promoting complex/cyclosome (APC/C) ubiquitin ligase complex. Depletion of FBXO5 results in increased ER stress-induced apoptosis and decreased expression of proteins related to PERK/IRE1α/ATF6 signaling. Overexpression of FBXO5 wild-type (not its ΔF-box mutant) alleviates apoptosis and the expression of the C/EBP Homologous Protein (CHOP)/ATF. Mechanistically, we find that FBXO5 directly binds to and promotes the ubiquitin-dependent degradation of RNF183, which acts as a ubiquitin E3 ligase in regulating ER stress-induced apoptosis. Reversal of the apoptosis defects caused by FBXO5 deficiency in colorectal cancer cells can be achieved by knocking down RNF183 in FBXO5-deficient cells. Functionally, we observed significant upregulation of FBXO5 in colon cancer tissues, and its silencing suppresses tumor occurrence in vivo. Therefore, our study highlights the critical role of the FBXO5/RNF183 axis in ER stress regulation and identifies a potential therapeutic target for colon cancer treatment.
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Affiliation(s)
- Jing Ji
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
- Cancer Center and Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
- School of Basic Medicine & Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, P.R. China
| | - Aixin Jing
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Yuanyuan Ding
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Xinhui Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Qilan Qian
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Ting Geng
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Wenhao Cheng
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Meiqi Zhang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Qian Sun
- The First People's Hospital of Lianyungang, the First Affiliated Hospital of Kangda College of Nanjing Medical University. 7 Zhenhua Road, Haizhou, Lianyungang, 222061, Jiangsu, PR China
| | - Shaojie Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Xiujun Wang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Qing Yuan
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Menghan Xu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Jingting Qin
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Lin Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Jiayan Yang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Jingliang He
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Qianming Du
- School of Basic Medicine & Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, P.R. China
- General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, P.R. China
| | - Mengbei Xia
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Yuting Xu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Ziyun Chen
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Lan Zhu
- Cancer Center and Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | - Wei Liu
- Cancer Center and Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI, 53226, USA.
| | - Shunfang Liu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Bin Liu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China.
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13
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Klarić TS, Gudelj I, Santpere G, Novokmet M, Vučković F, Ma S, Doll HM, Risgaard R, Bathla S, Karger A, Nairn AC, Luria V, Bečeheli I, Sherwood CC, Ely JJ, Hof PR, Sousa AM, Josić D, Lauc G, Sestan N. Human-specific features and developmental dynamics of the brain N-glycome. Sci Adv 2023; 9:eadg2615. [PMID: 38055821 PMCID: PMC10699788 DOI: 10.1126/sciadv.adg2615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 11/07/2023] [Indexed: 12/08/2023]
Abstract
Comparative "omics" studies have revealed unique aspects of human neurobiology, yet an evolutionary perspective of the brain N-glycome is lacking. We performed multiregional characterization of rat, macaque, chimpanzee, and human brain N-glycomes using chromatography and mass spectrometry and then integrated these data with complementary glycotranscriptomic data. We found that, in primates, the brain N-glycome has diverged more rapidly than the underlying transcriptomic framework, providing a means for rapidly generating additional interspecies diversity. Our data suggest that brain N-glycome evolution in hominids has been characterized by an overall increase in complexity coupled with a shift toward increased usage of α(2-6)-linked N-acetylneuraminic acid. Moreover, interspecies differences in the cell type expression pattern of key glycogenes were identified, including some human-specific differences, which may underpin this evolutionary divergence. Last, by comparing the prenatal and adult human brain N-glycomes, we uncovered region-specific neurodevelopmental pathways that lead to distinct spatial N-glycosylation profiles in the mature brain.
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Affiliation(s)
- Thomas S. Klarić
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Ivan Gudelj
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
| | - Gabriel Santpere
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Hospital del Mar Research Institute, Barcelona, Catalonia, Spain
| | | | | | - Shaojie Ma
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Hannah M. Doll
- Waisman Center and Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Ryan Risgaard
- Waisman Center and Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Shveta Bathla
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Amir Karger
- IT Research Computing, Harvard Medical School, Boston, MA, USA
| | - Angus C. Nairn
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Victor Luria
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, USA
| | | | - Chet C. Sherwood
- Department of Anthropology, The George Washington University, Washington, DC, USA
| | - John J. Ely
- Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC, USA
- MAEBIOS, Alamogordo, NM, USA
| | - Patrick R. Hof
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - André M. M. Sousa
- Waisman Center and Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Djuro Josić
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
- Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Nenad Sestan
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Departments of Genetics and Comparative Medicine, Kavli Institute for Neuroscience, Program in Cellular Neuroscience, Neurodegeneration and Repair, and Yale Child Study Center, Yale School of Medicine, New Haven, CT, USA
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14
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Xie B, Huang R, Jia S, Lin Z, Hu J, Jiang Y, Ma S, Zhan P, Lu M, Wang Z, Chen Y, Zhang S. Bulk-local-density-of-state correspondence in topological insulators. Nat Commun 2023; 14:7347. [PMID: 37963897 PMCID: PMC10646048 DOI: 10.1038/s41467-023-42449-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/11/2023] [Indexed: 11/16/2023] Open
Abstract
In the quest to connect bulk topological quantum numbers to measurable parameters in real materials, current established approaches often necessitate specific conditions, limiting their applicability. Here we propose and demonstrate an approach to link the non-trivial hierarchical bulk topology to the multidimensional partition of local density of states (LDOS), denoted as the bulk-LDOS correspondence. In finite-size topologically nontrivial photonic crystals, we observe the LDOS partitioned into three distinct regions: a two-dimensional interior bulk area, a one-dimensional edge region, and zero-dimensional corner sites. Contrarily, topologically trivial cases exhibit uniform LDOS distribution across the entire two-dimensional bulk area. Our findings provide a general framework for distinguishing topological insulators and uncovering novel aspects of topological directional band-gap materials, even in the absence of in-gap states.
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Affiliation(s)
- Biye Xie
- New Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong, China
- School of Science and Engineering, The Chinese University of Hong Kong, 518172, Shenzhen, China
| | - Renwen Huang
- National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, 210093, Nanjing, China
- School of Physics, Nanjing University, 210093, Nanjing, China
| | - Shiyin Jia
- National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, 210093, Nanjing, China
- School of Physics, Nanjing University, 210093, Nanjing, China
| | - Zemeng Lin
- New Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Junzheng Hu
- National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, 210093, Nanjing, China
- School of Physics, Nanjing University, 210093, Nanjing, China
| | - Yao Jiang
- National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, 210093, Nanjing, China
- School of Physics, Nanjing University, 210093, Nanjing, China
| | - Shaojie Ma
- New Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Peng Zhan
- National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, 210093, Nanjing, China.
- School of Physics, Nanjing University, 210093, Nanjing, China.
| | - Minghui Lu
- National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, 210093, Nanjing, China.
- Department of Materials Science and Engineering, Nanjing University, 210093, Nanjing, China.
| | - Zhenlin Wang
- National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, 210093, Nanjing, China
- School of Physics, Nanjing University, 210093, Nanjing, China
| | - Yanfeng Chen
- National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, 210093, Nanjing, China
- Department of Materials Science and Engineering, Nanjing University, 210093, Nanjing, China
| | - Shuang Zhang
- New Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
- Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China.
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15
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Duan D, Lyu W, Chai P, Ma S, Wu K, Wu C, Xiong Y, Sestan N, Zhang K, Koleske AJ. Abl2 repairs microtubules and phase separates with tubulin to promote microtubule nucleation. Curr Biol 2023; 33:4582-4598.e10. [PMID: 37858340 PMCID: PMC10877310 DOI: 10.1016/j.cub.2023.09.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 07/07/2023] [Accepted: 09/06/2023] [Indexed: 10/21/2023]
Abstract
Abl family kinases are evolutionarily conserved regulators of cell migration and morphogenesis. Genetic experiments in Drosophila suggest that Abl family kinases interact functionally with microtubules to regulate axon guidance and neuronal morphogenesis. Vertebrate Abl2 binds to microtubules and promotes their plus-end elongation, both in vitro and in cells, but the molecular mechanisms by which Abl2 regulates microtubule (MT) dynamics are unclear. We report here that Abl2 regulates MT assembly via condensation and direct interactions with both the MT lattice and tubulin dimers. We find that Abl2 promotes MT nucleation, which is further facilitated by the ability of the Abl2 C-terminal half to undergo liquid-liquid phase separation (LLPS) and form co-condensates with tubulin. Abl2 binds to regions adjacent to MT damage, facilitates MT repair via fresh tubulin recruitment, and increases MT rescue frequency and lifetime. Cryo-EM analyses strongly support a model in which Abl2 engages tubulin C-terminal tails along an extended MT lattice conformation at damage sites to facilitate repair via fresh tubulin recruitment. Abl2Δ688-790, which closely mimics a naturally occurring splice isoform, retains binding to the MT lattice but does not bind tubulin, promote MT nucleation, or increase rescue frequency. In COS-7 cells, MT reassembly after nocodazole treatment is greatly slowed in Abl2 knockout COS-7 cells compared with wild-type cells, and these defects are rescued by re-expression of Abl2, but not Abl2Δ688-790. We propose that Abl2 locally concentrates tubulin to promote MT nucleation and recruits it to defects in the MT lattice to enable repair and rescue.
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Affiliation(s)
- Daisy Duan
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06510, USA
| | - Wanqing Lyu
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06510, USA
| | - Pengxin Chai
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06510, USA
| | - Shaojie Ma
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
| | - Kuanlin Wu
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06510, USA
| | - Chunxiang Wu
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06510, USA
| | - Yong Xiong
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06510, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA; Department of Comparative Medicine, Yale School of Medicine, New Haven, CT 06510, USA; Program in Cellular Neuroscience, Neurodegeneration and Repair, Yale School of Medicine, New Haven, CT 06510, USA; Yale Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Kai Zhang
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06510, USA
| | - Anthony J Koleske
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06510, USA; Department of Neuroscience, Yale University, New Haven, CT 06510, USA.
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16
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Ofori-Anyinam N, Hamblin M, Coldren ML, Li B, Mereddy G, Shaikh M, Shah A, Ranu N, Lu S, Blainey PC, Ma S, Collins JJ, Yang JH. KatG catalase deficiency confers bedaquiline hyper-susceptibility to isoniazid resistant Mycobacterium tuberculosis. bioRxiv 2023:2023.10.17.562707. [PMID: 37905073 PMCID: PMC10614911 DOI: 10.1101/2023.10.17.562707] [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: 11/02/2023]
Abstract
Multidrug-resistant tuberculosis (MDR-TB) is a growing source of global mortality and threatens global control of tuberculosis (TB) disease. The diarylquinoline bedaquiline (BDQ) recently emerged as a highly efficacious drug against MDR-TB, defined as resistance to the first-line drugs isoniazid (INH) and rifampin. INH resistance is primarily caused by loss-of-function mutations in the catalase KatG, but mechanisms underlying BDQ's efficacy against MDR-TB remain unknown. Here we employ a systems biology approach to investigate BDQ hyper-susceptibility in INH-resistant Mycobacterium tuberculosis . We found hyper-susceptibility to BDQ in INH-resistant cells is due to several physiological changes induced by KatG deficiency, including increased susceptibility to reactive oxygen species and DNA damage, remodeling of transcriptional programs, and metabolic repression of folate biosynthesis. We demonstrate BDQ hyper-susceptibility is common in INH-resistant clinical isolates. Collectively, these results highlight how altered bacterial physiology can impact drug efficacy in drug-resistant bacteria.
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17
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Micali N, Ma S, Li M, Kim SK, Mato-Blanco X, Sindhu SK, Arellano JI, Gao T, Shibata M, Gobeske KT, Duque A, Santpere G, Sestan N, Rakic P. Molecular programs of regional specification and neural stem cell fate progression in macaque telencephalon. Science 2023; 382:eadf3786. [PMID: 37824652 DOI: 10.1126/science.adf3786] [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] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 07/30/2023] [Indexed: 10/14/2023]
Abstract
During early telencephalic development, intricate processes of regional patterning and neural stem cell (NSC) fate specification take place. However, our understanding of these processes in primates, including both conserved and species-specific features, remains limited. Here, we profiled 761,529 single-cell transcriptomes from multiple regions of the prenatal macaque telencephalon. We deciphered the molecular programs of the early organizing centers and their cross-talk with NSCs, revealing primate-biased galanin-like peptide (GALP) signaling in the anteroventral telencephalon. Regional transcriptomic variations were observed along the frontotemporal axis during early stages of neocortical NSC progression and in neurons and astrocytes. Additionally, we found that genes associated with neuropsychiatric disorders and brain cancer risk might play critical roles in the early telencephalic organizers and during NSC progression.
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Affiliation(s)
- Nicola Micali
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Shaojie Ma
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Mingfeng Li
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Suel-Kee Kim
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Xoel Mato-Blanco
- Hospital del Mar Research Institute, Parc de Recerca Biomèdica de Barcelona (PRBB), 08003 Barcelona, Catalonia, Spain
| | | | - Jon I Arellano
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Tianliuyun Gao
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Mikihito Shibata
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Kevin T Gobeske
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Alvaro Duque
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Gabriel Santpere
- Hospital del Mar Research Institute, Parc de Recerca Biomèdica de Barcelona (PRBB), 08003 Barcelona, Catalonia, Spain
| | - Nenad Sestan
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
- Departments of Psychiatry, Genetics and Comparative Medicine, Wu Tsai Institute, Program in Cellular Neuroscience, Neurodegeneration and Repair, and Yale Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
- Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | - Pasko Rakic
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
- Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
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18
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Wu F, Tang X, Zhang Y, Wei L, Wang T, Lu Z, Wei J, Ma S, Jiang L, Gao T, Huang Q. The Role of Radiation Therapy for Metastatic Cervical Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e555. [PMID: 37785704 DOI: 10.1016/j.ijrobp.2023.06.1865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Survival rates for women with metastatic cervical cancer (CC) are low, with limited management options. Radiation therapy (RT) for metastatic disease has led to prolonged survival in other malignancies, however, the data are scarce in CC. Herein, we evaluated the effect of RT for metastatic CC. MATERIALS/METHODS A total of 58 patients with metastatic CC between September 2019 and January 2023 were retrospectively analyzed. All the patients were treated with platinum-based chemotherapy combined with targeted therapy or immunotherapy followed with or without RT (NRT). The recent efficacy, survival status and prognostic factors were analyzed statistically. RESULTS Objective response rate (ORR) was 63.6% with one complete and twenty partial responses in RT group (n = 33) and 40.0% with two complete and eight partial responses in NRT group (n = 25), respectively (p = 0.074). Disease control rate (DCR) of the RT and NRT groups were 79.4% vs 80.0%, respectively (p = 0.861). Median follow-up time was 17 months (3-39months). In RT group, 11(33.3%) patients experienced local regional or distant failure and 9 (27.3%) patients were dead. In NRT group, 15(60%) patients had progression and 8 (32%) patients dead. There was no significant difference between the two groups in overall survival (OS); however, RT group displayed superior progression-free survival (PFS) (1-year OS: 72.7% vs. 68.0%, p = 0.460; 1-year PFS: 66.7% vs. 40.0%, p = 0.039). The multivariate analysis showed that RT, immunotherapy, lymph node metastasis only relevant predictor of superior PFS but not OS. In subgroup analysis, patients treated with RT appeared to have a better PFS in some specific cohorts, such as age>45 years (72.0% vs 36.4% P = 0.015), squamous carcinoma histology (71.0% vs 40.9% P = 0.017), metastatic at diagnosis (75.0% vs 47.6% P = 0.012), non-targeted therapy (72.4% vs 43.8% P = 0.040). No significant increase in treatment-related toxicity was observed in the RT group compared with the NRT group. CONCLUSION RT provided superior PFS in metastatic CC patients compared to NRT, and well tolerated. Moreover, RT, immunotherapy, lymph node metastasis only were independent significant prognostic factors for PFS. Subgroup analysis showed that combination of RT and chemotherapy obtained favorable PFS in metastatic CC patients with age>45 years, squamous carcinoma histology, metastatic at diagnosis, non-targeted therapy. Studies with a larger sample size and longer follow-up are warranted.
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Affiliation(s)
- F Wu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - X Tang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China; Department of Radiation Oncology, Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - Y Zhang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Wang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Z Lu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - J Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - S Ma
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Jiang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Gao
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Q Huang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
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Zhang H, Yue J, Zhang K, Qiu L, Xia B, Zhang M, Yin Z, Ma S. Hyperthermia Enhances the Radiosensitivity of Pancreatic Cancer Cells by Inhibiting Wnt2B Signaling. Int J Radiat Oncol Biol Phys 2023; 117:e277. [PMID: 37785041 DOI: 10.1016/j.ijrobp.2023.06.1254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Pancreatic cancer (PC) is a highly lethal human malignance. Due to unobvious symptoms at early stage, most of the patients with PC are diagnosed at late stages and lose the chance of surgical resection. Furthermore, PC patients are resistant to chemoradiotherapy and therefore show a dismal survival. Hyperthermia is commonly used as a sensitizer of chemotherapy or radiotherapy for the clinical treatment of human cancers. Our study aimed to investigate whether hyperthermia can improve the radiosensitivity of PC cells and uncover the involved mechanisms. MATERIALS/METHODS PC cells BxPC3, CFPAC-1 and PANC1 were heated to 43 ℃ 1 h before exposure to ionizing irradiation (IR). The radiosensitivity of PC cells were detected in vitro by colony formation assay, immunofluence analysis and western blotting. The mechanisms studies have been conducted using qRT-PCR analysis, cDNA/siRNA transfection and comet assay. RESULTS Hyperthermia significantly enhanced the radiosensitivity of PC cells by decreasing their colony formation and increasing DNA damage following IR. By qRT-PCR analysis of Wnt genes expressions, we found Wnt2B was significantly down-regulated in PC-3 cells which were treated with the combination of hyperthermia and IR compared with hyperthermia or IR alone. Functional assays showed that the expression level of Wnt2B was inversely associated with the radiosensitivity of PC-3 cells. Furthermore, we found hyperthermia inhibited the expression of DNA repair proteins such as p-BRCA1 and p-MRE11 in PC cells following IR CONCLUSION: Hyperthermia can significantly enhance the radiosensitivity of PC cells in a Wnt2B signaling-dependent manner.
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Affiliation(s)
- H Zhang
- Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J Yue
- Hangzhou Cancer Hospital, Hangzhou, China
| | - K Zhang
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - L Qiu
- Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - B Xia
- Hangzhou Cancer Hospital, Hangzhou, China
| | - M Zhang
- Hangzhou Cancer Hospital, Hangzhou, China
| | - Z Yin
- The Fourth Clinical College of Zhejiang Chinese Medical University, Hangzhou City, China
| | - S Ma
- Medical Oncology, Xiaoshan Hospital Affiliated to Hangzhou Normal University, Hangzhou, China
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20
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Gan P, Li P, Zhang X, Li H, Ma S, Zong D, He C. Comparative Transcriptomic and Metabolomic Analyses of Differences in Trunk Spiral Grain in Pinus yunnanensis. Int J Mol Sci 2023; 24:14658. [PMID: 37834105 PMCID: PMC10572851 DOI: 10.3390/ijms241914658] [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: 08/13/2023] [Revised: 09/15/2023] [Accepted: 09/19/2023] [Indexed: 10/15/2023] Open
Abstract
Having a spiral grain is considered to be one of the most important wood properties influencing wood quality. Here, transcriptome profiles and metabolome data were analyzed in the straight grain and twist grain of Pinus yunnanensis. A total of 6644 differential expression genes were found between the straight type and the twist type. A total of 126 differentially accumulated metabolites were detected. There were 24 common differential pathways identified from the transcriptome and metabolome, and these pathways were mainly annotated in ABC transporters, arginine and proline metabolism, flavonoid biosynthesis, isoquinoline alkaloid biosynthesis, linoleic acid metabolism, phenylpropanoid, tryptophan metabolism, etc. A weighted gene coexpression network analysis showed that the lightblue4 module was significantly correlated with 2'-deoxyuridine and that transcription factors (basic leucine zipper (bZIP), homeodomain leucine zipper (HD-ZIP), basic helix-loop-helix (bHLH), p-coumarate 3-hydroxylase (C3H), and N-acetylcysteine (NAC)) play important roles in regulating 2'-deoxyuridine, which may be involved in the formation of spiral grains. Meanwhile, the signal transduction of hormones may be related to spiral grain, as previously reported. ARF7 and MKK4_5, as indoleacetic acid (IAA)- and ethylene (ET)-related receptors, may explain the contribution of plant hormones in spiral grain. This study provided useful information on spiral grain in P. yunnanensis by transcriptome and metabolome analyses and could lay the foundation for future molecular breeding.
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Affiliation(s)
- Peihua Gan
- Key Laboratory for Forest Genetics and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming 650224, China; (P.G.); (P.L.); (X.Z.); (H.L.); (S.M.)
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China
| | - Peiling Li
- Key Laboratory for Forest Genetics and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming 650224, China; (P.G.); (P.L.); (X.Z.); (H.L.); (S.M.)
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China
| | - Xiaolin Zhang
- Key Laboratory for Forest Genetics and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming 650224, China; (P.G.); (P.L.); (X.Z.); (H.L.); (S.M.)
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China
| | - Hailin Li
- Key Laboratory for Forest Genetics and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming 650224, China; (P.G.); (P.L.); (X.Z.); (H.L.); (S.M.)
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China
| | - Shaojie Ma
- Key Laboratory for Forest Genetics and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming 650224, China; (P.G.); (P.L.); (X.Z.); (H.L.); (S.M.)
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China
| | - Dan Zong
- Key Laboratory for Forest Genetics and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming 650224, China; (P.G.); (P.L.); (X.Z.); (H.L.); (S.M.)
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China
- Key Laboratory of Biodiversity Conservation in Southwest China, State Forestry Administration, Southwest Forestry University, Kunming 650224, China
| | - Chengzhong He
- Key Laboratory for Forest Genetics and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming 650224, China; (P.G.); (P.L.); (X.Z.); (H.L.); (S.M.)
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China
- Key Laboratory of Biodiversity Conservation in Southwest China, State Forestry Administration, Southwest Forestry University, Kunming 650224, China
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21
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Popoola A, Ghosh PS, Kingsland M, Kashikar R, DeTellem D, Xu Y, Ma S, Witanachchi S, Lisenkov S, Ponomareva I. First-principles property assessment of hybrid formate perovskites. J Chem Phys 2023; 159:074702. [PMID: 37589410 DOI: 10.1063/5.0159526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 07/19/2023] [Indexed: 08/18/2023] Open
Abstract
Hybrid organic-inorganic formate perovskites, AB(HCOO)3, are a large family of compounds that exhibit a variety of phase transitions and diverse properties, such as (anti)ferroelectricity, ferroelasticity, (anti)ferromagnetism, and multiferroism. While many properties of these materials have already been characterized, we are not aware of any study that focuses on the comprehensive property assessment of a large number of formate perovskites. A comparison of the properties of materials within the family is challenging due to systematic errors attributed to different techniques or the lack of data. For example, complete piezoelectric, dielectric, and elastic tensors are not available. In this work, we utilize first-principles density functional theory based simulations to overcome these challenges and to report structural, mechanical, dielectric, piezoelectric, and ferroelectric properties of 29 formate perovskites. We find that these materials exhibit elastic stiffness in the range 0.5-127.0 GPa; highly anisotropic linear compressibility, including zero and even negative values; dielectric constants in the range 0.1-102.1; highly anisotropic piezoelectric response with the longitudinal values in the range 1.18-21.12 pC/N; and spontaneous polarizations in the range 0.2-7.8 μC/cm2. Furthermore, we propose and computationally characterize a few formate perovskites that have not been reported yet.
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Affiliation(s)
- Abduljelili Popoola
- Department of Physics, University of South Florida, Tampa, Florida 33620, USA
| | - P S Ghosh
- Glass and Advanced Materials Division, Bhabha Atomic Research Centre, Mumbai 400 085, India
- Homi Bhabha National Institute, Anushaktinagar, Mumbai 400 094, India
| | - Maggie Kingsland
- Department of Physics, University of South Florida, Tampa, Florida 33620, USA
| | - Ravi Kashikar
- Department of Physics, University of South Florida, Tampa, Florida 33620, USA
| | - D DeTellem
- Department of Physics, University of South Florida, Tampa, Florida 33620, USA
| | - Yixuan Xu
- Department of Chemistry, University of North Texas, CHEM 305D, 1508 W. Mulberry Street, Denton, Texas 76201, USA
| | - S Ma
- Department of Chemistry, University of North Texas, CHEM 305D, 1508 W. Mulberry Street, Denton, Texas 76201, USA
| | - S Witanachchi
- Department of Physics, University of South Florida, Tampa, Florida 33620, USA
| | - S Lisenkov
- Department of Physics, University of South Florida, Tampa, Florida 33620, USA
| | - I Ponomareva
- Department of Physics, University of South Florida, Tampa, Florida 33620, USA
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22
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Guan F, Guo X, Zeng K, Zhang S, Nie Z, Ma S, Dai Q, Pendry J, Zhang X, Zhang S. Overcoming losses in superlenses with synthetic waves of complex frequency. Science 2023; 381:766-771. [PMID: 37590345 DOI: 10.1126/science.adi1267] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 06/29/2023] [Indexed: 08/19/2023]
Abstract
Superlenses made of plasmonic materials and metamaterials can image features at the subdiffraction scale. However, intrinsic losses impose a serious restriction on imaging resolution, a problem that has hindered widespread applications of superlenses. Optical waves of complex frequency that exhibit a temporally attenuating behavior have been proposed to offset the intrinsic losses in superlenses through the introduction of virtual gain, but experimental realization has been lacking because of the difficulty of imaging measurements with temporal decay. In this work, we present a multifrequency approach to constructing synthetic excitation waves of complex frequency based on measurements at real frequencies. This approach allows us to implement virtual gain experimentally and observe deep-subwavelength images. Our work offers a practical solution to overcome the intrinsic losses of plasmonic systems for imaging and sensing applications.
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Affiliation(s)
- Fuxin Guan
- New Cornerstone Science Laboratory, Department of Physics, University of Hong Kong, Hong Kong, China
| | - Xiangdong Guo
- New Cornerstone Science Laboratory, Department of Physics, University of Hong Kong, Hong Kong, China
- CAS Key Laboratory of Nanophotonic Materials and Devices, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
| | - Kebo Zeng
- New Cornerstone Science Laboratory, Department of Physics, University of Hong Kong, Hong Kong, China
| | - Shu Zhang
- CAS Key Laboratory of Nanophotonic Materials and Devices, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
| | - Zhaoyu Nie
- Department of Mechanical Engineering, University of California, Berkeley, CA 94720, USA
| | - Shaojie Ma
- New Cornerstone Science Laboratory, Department of Physics, University of Hong Kong, Hong Kong, China
| | - Qing Dai
- CAS Key Laboratory of Nanophotonic Materials and Devices, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
| | - John Pendry
- The Blackett Laboratory, Department of Physics, Imperial College London, SW7 2AZ London, UK
| | - Xiang Zhang
- New Cornerstone Science Laboratory, Department of Physics, University of Hong Kong, Hong Kong, China
- Faculty of Science, University of Hong Kong, Hong Kong, China
- Faculty of Engineering, University of Hong Kong, Hong Kong, China
| | - Shuang Zhang
- New Cornerstone Science Laboratory, Department of Physics, University of Hong Kong, Hong Kong, China
- Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China
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23
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Wu X, Han H, Xie K, He N, Yang Z, Jin X, Ma S, Dong J. Difenoconazole disrupts carp intestinal physical barrier and causes inflammatory response via triggering oxidative stress and apoptosis. Pestic Biochem Physiol 2023; 194:105507. [PMID: 37532360 DOI: 10.1016/j.pestbp.2023.105507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 06/15/2023] [Accepted: 06/22/2023] [Indexed: 08/04/2023]
Abstract
As a common fungicide, difenoconazole (DFZ) is widespread in the natural environment and poses many potential threats. Carp makes up a significant proportion of China's freshwater aquaculture population and are vulnerable to the DFZ. Therefore, this study investigated the effects of DFZ (0.488 mg/L and 1.953 mg/L) exposure for 4 d on the intestinal tissues of carp and explored the mechanisms. Specifically, DFZ exposure caused pathological damage to the intestinal tissues of carp, reducing the expression levels of intestinal tight junction proteins, and leading to damage to the intestinal barrier. In addition, DFZ exposure activated the NF-κB signaling pathway, increasing the levels of pro-inflammatory factors (TNF-α, IL-1β, IL-6) and decreasing the levels of anti-inflammatory factors (IL-10, TGF-β1). As disruption of the intestinal barrier is closely linked to oxidative stress and apoptosis, we have conducted research in both areas for this reason. The results showed that DFZ exposure elevated reactive oxygen species in carp intestines, decreased antioxidant enzyme activity, and suppressed the expression of oxidative stress-related genes. TUNEL results showed that DFZ induced the onset of apoptosis. In addition, the expression levels of apoptosis-related genes and proteins were examined. Western blotting results showed that DFZ could upregulate the protein expression levels of Bax, Cytochrome C and downregulate the protein levels of Bcl-2. qPCR results showed that DFZ could upregulate the transcript levels of Bax, Caspase-3, Caspase-8 and Caspase-9 and downregulate the transcript levels of Bcl-2 transcript levels. This suggests that DFZ can induce apoptosis of mitochondrial pathway in carp intestine. In conclusion, DFZ can induce oxidative stress and apoptosis in carp intestine, leading to the destruction of intestinal physical barrier and the occurrence of inflammation. Our data support the idea that oxidative stress and apoptosis are important triggers of pesticide-induced inflammatory bowel illness.
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Affiliation(s)
- Xinyu Wu
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Ocean University, Lianyungang 222005, China
| | - Hairui Han
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Ocean University, Lianyungang 222005, China
| | - Kunmei Xie
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Ocean University, Lianyungang 222005, China
| | - Nana He
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Ocean University, Lianyungang 222005, China
| | - Zuwang Yang
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Ocean University, Lianyungang 222005, China
| | - Xiaohui Jin
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Ocean University, Lianyungang 222005, China
| | - Shaojie Ma
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Ocean University, Lianyungang 222005, China.
| | - Jingquan Dong
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Ocean University, Lianyungang 222005, China.
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24
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Jia H, Wang M, Ma S, Zhang RY, Hu J, Wang D, Chan CT. Experimental realization of chiral Landau levels in two-dimensional Dirac cone systems with inhomogeneous effective mass. Light Sci Appl 2023; 12:165. [PMID: 37402713 DOI: 10.1038/s41377-023-01209-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 06/06/2023] [Accepted: 06/12/2023] [Indexed: 07/06/2023]
Abstract
Chiral zeroth Landau levels are topologically protected bulk states. In particle physics and condensed matter physics, the chiral zeroth Landau level plays a significant role in breaking chiral symmetry and gives rise to the chiral anomaly. Previous experimental works on such chiral Landau levels are mainly based on three-dimensional Weyl degeneracies coupled with axial magnetic fields. Their realizations using two-dimensional Dirac point systems, being more promising for future applications, were never experimentally realized before. Here we propose an experimental scheme for realizing chiral Landau levels in a two-dimensional photonic system. By introducing an inhomogeneous effective mass through breaking local parity-inversion symmetries, a synthetic in-plane magnetic field is generated and coupled with the Dirac quasi-particles. Consequently, the zeroth-order chiral Landau levels can be induced, and the one-way propagation characteristics are experimentally observed. In addition, the robust transport of the chiral zeroth mode against defects in the system is also experimentally tested. Our system provides a new pathway for the realization of chiral Landau levels in two-dimensional Dirac cone systems, and may potentially be applied in device designs utilizing the chiral response and transport robustness.
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Grants
- 16307621 Research Grants Council, University Grants Committee (RGC, UGC)
- AoE/P-502/20 Research Grants Council, University Grants Committee (RGC, UGC)
- 16307821 Research Grants Council, University Grants Committee (RGC, UGC)
- 16307420 Research Grants Council, University Grants Committee (RGC, UGC)
- 16310420 Research Grants Council, University Grants Committee (RGC, UGC)
- CAS20SC01 CAS-Croucher Funding Scheme for Joint Laboratories (CAS-Croucher Joint Lab Scheme)
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Affiliation(s)
- Hongwei Jia
- Department of Physics, the Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China.
- Institute for Advanced Study, the Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China.
| | - Mudi Wang
- Department of Physics, the Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Shaojie Ma
- Department of Physics, University of Hong Kong, Hong Kong, China
| | - Ruo-Yang Zhang
- Department of Physics, the Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Jing Hu
- Department of Physics, the Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Dongyang Wang
- Department of Physics, the Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Che Ting Chan
- Department of Physics, the Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China.
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Ma S, Jia H, Bi Y, Ning S, Guan F, Liu H, Wang C, Zhang S. Gauge Field Induced Chiral Zero Mode in Five-Dimensional Yang Monopole Metamaterials. Phys Rev Lett 2023; 130:243801. [PMID: 37390435 DOI: 10.1103/physrevlett.130.243801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 05/22/2023] [Indexed: 07/02/2023]
Abstract
Owing to the chirality of Weyl nodes characterized by the first Chern number, a Weyl system supports one-way chiral zero modes under a magnetic field, which underlies the celebrated chiral anomaly. As a generalization of Weyl nodes from three-dimensional to five-dimensional physical systems, Yang monopoles are topological singularities carrying nonzero second-order Chern numbers c_{2}=±1. Here, we couple a Yang monopole with an external gauge field using an inhomogeneous Yang monopole metamaterial and experimentally demonstrate the existence of a gapless chiral zero mode, where the judiciously designed metallic helical structures and the corresponding effective antisymmetric bianisotropic terms provide the means for controlling gauge fields in a synthetic five-dimensional space. This zeroth mode is found to originate from the coupling between the second Chern singularity and a generalized 4-form gauge field-the wedge product of the magnetic field with itself. This generalization reveals intrinsic connections between physical systems of different dimensions, while a higher-dimensional system exhibits much richer supersymmetric structures in Landau level degeneracy due to the internal degrees of freedom. Our study offers the possibility of controlling electromagnetic waves by leveraging the concept of higher-order and higher-dimensional topological phenomena.
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Affiliation(s)
- Shaojie Ma
- New Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Hong Kong 999077, China
- Shanghai Engineering Research Centre of Ultra Precision Optical Manufacturing, Department of Optical Science and Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, China
| | - Hongwei Jia
- Department of Physics and Institute for Advanced Study, The Hong Kong University of Science and Technology, Hong Kong 999077, China
| | - Yangang Bi
- New Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Hong Kong 999077, China
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Shangqiang Ning
- New Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Hong Kong 999077, China
| | - Fuxin Guan
- New Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Hong Kong 999077, China
| | - Hongchao Liu
- Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macao SAR 999078, China
| | - Chenjie Wang
- New Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Hong Kong 999077, China
| | - Shuang Zhang
- New Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Hong Kong 999077, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong 999077, China
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White MJ, Sheka AC, LaRocca CJ, Irey RL, Ma S, Wirth KM, Benner A, Denbo JW, Jensen EH, Ankeny JS, Ikramuddin S, Tuttle TM, Hui JYC, Marmor S. The association of new-onset diabetes with subsequent diagnosis of pancreatic cancer-novel use of a large administrative database. J Public Health (Oxf) 2023; 45:e266-e274. [PMID: 36321614 PMCID: PMC10273390 DOI: 10.1093/pubmed/fdac118] [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: 04/22/2022] [Revised: 09/05/2022] [Accepted: 09/26/2022] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND Screening options for pancreatic ductal adenocarcinoma (PDAC) are limited. New-onset type 2 diabetes (NoD) is associated with subsequent diagnosis of PDAC in observational studies and may afford an opportunity for PDAC screening. We evaluated this association using a large administrative database. METHODS Patients were identified using claims data from the OptumLabs® Data Warehouse. Adult patients with NoD diagnosis were matched 1:3 with patients without NoD using age, sex and chronic obstructive pulmonary disease (COPD) status. The event of PDAC diagnosis was compared between cohorts using the Kaplan-Meier method. Factors associated with PDAC diagnosis were evaluated with Cox's proportional hazards modeling. RESULTS We identified 640 421 patients with NoD and included 1 921 263 controls. At 3 years, significantly more PDAC events were identified in the NoD group vs control group (579 vs 505; P < 0.001). When controlling for patient factors, NoD was significantly associated with elevated risk of PDAC (HR 3.474, 95% CI 3.082-3.920, P < 0.001). Other factors significantly associated with PDAC diagnosis were increasing age, increasing age among Black patients, and COPD diagnosis (P ≤ 0.05). CONCLUSIONS NoD was independently associated with subsequent diagnosis of PDAC within 3 years. Future studies should evaluate the feasibility and benefit of PDAC screening in patients with NoD.
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Affiliation(s)
- M J White
- Department of Surgery, University of Minnesota, Minneapolis MN, 55455 USA
| | - A C Sheka
- Department of Surgery, University of Minnesota, Minneapolis MN, 55455 USA
- OptumLabs® Visiting Fellow, Eden Prairie, MN, USA Institute for Health Informatics, University of Minnesota, Minneapolis MN, 55455 USA
| | - C J LaRocca
- Department of Surgery, University of Minnesota, Minneapolis MN, 55455 USA
- Masonic Cancer Center, University of Minnesota, Minneapolis MN 55455, USA
| | - R L Irey
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis MN, 55455 USA
| | - S Ma
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis MN, 55455 USA
| | - K M Wirth
- Department of Surgery, University of Minnesota, Minneapolis MN, 55455 USA
- OptumLabs® Visiting Fellow, Eden Prairie, MN, USA Institute for Health Informatics, University of Minnesota, Minneapolis MN, 55455 USA
| | - A Benner
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis MN, 55455 USA
| | - J W Denbo
- Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa FL 33612 USA
| | - E H Jensen
- Department of Surgery, University of Minnesota, Minneapolis MN, 55455 USA
- Masonic Cancer Center, University of Minnesota, Minneapolis MN 55455, USA
| | - J S Ankeny
- Department of Surgery, University of Minnesota, Minneapolis MN, 55455 USA
- Masonic Cancer Center, University of Minnesota, Minneapolis MN 55455, USA
| | - S Ikramuddin
- Department of Surgery, University of Minnesota, Minneapolis MN, 55455 USA
- OptumLabs® Visiting Fellow, Eden Prairie, MN, USA Institute for Health Informatics, University of Minnesota, Minneapolis MN, 55455 USA
| | - T M Tuttle
- Department of Surgery, University of Minnesota, Minneapolis MN, 55455 USA
- Masonic Cancer Center, University of Minnesota, Minneapolis MN 55455, USA
| | - J Y C Hui
- Department of Surgery, University of Minnesota, Minneapolis MN, 55455 USA
- Masonic Cancer Center, University of Minnesota, Minneapolis MN 55455, USA
| | - S Marmor
- Department of Surgery, University of Minnesota, Minneapolis MN, 55455 USA
- Masonic Cancer Center, University of Minnesota, Minneapolis MN 55455, USA
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis MN, 55455 USA
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Ji J, Lv J, Lv M, Jing A, Xu M, Yuan Q, Ma X, Qian Q, Wang W, Geng T, Ding Y, Qin J, Liu Y, Yang J, Zhou J, Ma L, Wang Y, Zuo L, Wang X, Ma S, Liu B. USP14 regulates heme metabolism and ovarian cancer invasion through BACH1 deubiquitination and stabilization. Biochem Biophys Res Commun 2023; 667:186-193. [PMID: 37229827 DOI: 10.1016/j.bbrc.2023.04.082] [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: 04/02/2023] [Accepted: 04/24/2023] [Indexed: 05/27/2023]
Abstract
The deubiquitinating enzyme USP14 has been established as a crucial regulator in various diseases, including tumors, neurodegenerative diseases, and metabolic diseases, through its ability to stabilize its substrate proteins. Our group has utilized proteomic techniques to identify new potential substrate proteins for USP14, however, the underlying signaling pathways regulated by USP14 remain largely unknown. Here, we demonstrate the key role of USP14 in both heme metabolism and tumor invasion by stabilizing the protein BACH1. The cellular oxidative stress response factor NRF2 regulates antioxidant protein expression through binding to the antioxidant response element (ARE). BACH1 can compete with NRF2 for ARE binding, leading to the inhibition of the expression of antioxidant genes, including HMOX-1. Activated NRF2 also inhibits the degradation of BACH1, promoting cancer cell invasion and metastasis. Our findings showed a positive correlation between USP14 expression and NRF2 expression in various cancer tissues from the TCGA database and normal tissues from the GTEx database. Furthermore, activated NRF2 was found to increase USP14 expression in ovarian cancer (OV) cells. The overexpression of USP14 was observed to inhibit HMOX1 expression, while USP14 knockdown had the opposite effect, suggesting a role for USP14 in regulating heme metabolism. The depletion of BACH1 or inhibition of heme oxygenase 1 (coded by HMOX-1) was also found to significantly impair USP14-dependent OV cell invasion. In conclusion, our results highlight the importance of the NRF2-USP14-BACH1 axis in regulating OV cell invasion and heme metabolism, providing evidence for its potential as a therapeutic target in related diseases.
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Affiliation(s)
- Jing Ji
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Jinyu Lv
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Mingxiao Lv
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Aixin Jing
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Menghan Xu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Qing Yuan
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Xinhui Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Qilan Qian
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Weiling Wang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Ting Geng
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Yuanyuan Ding
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Jingting Qin
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Yuanyuan Liu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Jiayan Yang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Jiaojiao Zhou
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Ling Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Yasong Wang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - Lingyi Zuo
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China
| | - XiuJun Wang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China.
| | - Shaojie Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China.
| | - Bin Liu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China.
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Ju Y, Liu K, Ma G, Zhu B, Wang H, Hu Z, Zhao J, Zhang L, Cui K, He XR, Huang M, Li Y, Xu S, Gao Y, Liu K, Liu H, Zhuo Z, Zhang G, Guo Z, Ye Y, Zhang L, Zhou X, Ma S, Qiu Y, Zhang M, Tao Y, Zhang M, Xian L, Xie W, Wang G, Wang Y, Wang C, Wang DH, Yu K. Bacterial antibiotic resistance among cancer inpatients in China: 2016-20. QJM 2023; 116:213-220. [PMID: 36269193 DOI: 10.1093/qjmed/hcac244] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 09/16/2022] [Accepted: 10/10/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The incidence of infections among cancer patients is as high as 23.2-33.2% in China. However, the lack of information and data on the number of antibiotics used by cancer patients is an obstacle to implementing antibiotic management plans. AIM This study aimed to investigate bacterial infections and antibiotic resistance in Chinese cancer patients to provide a reference for the rational use of antibiotics. DESIGN This was a 5-year retrospective study on the antibiotic resistance of cancer patients. METHODS In this 5-year surveillance study, we collected bacterial and antibiotic resistance data from 20 provincial cancer diagnosis and treatment centers and three specialized cancer hospitals in China. We analyzed the resistance of common bacteria to antibiotics, compared to common clinical drug-resistant bacteria, evaluated the evolution of critical drug-resistant bacteria and conducted data analysis. FINDINGS Between 2016 and 2020, 216 219 bacterial strains were clinically isolated. The resistance trend of Escherichia coli and Klebsiella pneumoniae to amikacin, ciprofloxacin, cefotaxime, piperacillin/tazobactam and imipenem was relatively stable and did not significantly increase over time. The resistance of Pseudomonas aeruginosa strains to all antibiotics tested, including imipenem and meropenem, decreased over time. In contrast, the resistance of Acinetobacter baumannii strains to carbapenems increased from 4.7% to 14.7%. Methicillin-resistant Staphylococcus aureus (MRSA) significantly decreased from 65.2% in 2016 to 48.9% in 2020. CONCLUSIONS The bacterial prevalence and antibiotic resistance rates of E. coli, K. pneumoniae, P. aeruginosa, A. baumannii, S. aureus and MRSA were significantly lower than the national average.
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Affiliation(s)
- Y Ju
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - K Liu
- Department of Critical Care Medicine, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - G Ma
- Department of Critical Care Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - B Zhu
- Department of Critical Care Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
| | - H Wang
- Department of Critical Care Medicine, Peking University Cancer Hospital & Institute, Beijing, China
| | - Z Hu
- Department of Critical Care Medicine, Hebei Tumor Hospital, Shijiazhuang, China
| | - J Zhao
- Department of Critical Care Medicine, Hunan Cancer Hospital, Changsha, China
| | - L Zhang
- Department of Critical Care Medicine, Hubei Cancer Hospital, Wuhan, China
| | - K Cui
- Department of Critical Care Medicine, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - X-R He
- Department of Critical Care Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - M Huang
- Department of Critical Care Medicine, Shanxi Tumor Hospital, Taiyuan, China
| | - Y Li
- Department of Critical Care Medicine, Guangxi Medical University Cancer Hospital, Nanning, China
| | - S Xu
- Department of Critical Care Medicine, Sichuan Cancer Hospital, Chengdu, China
| | - Y Gao
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - K Liu
- Department of Critical Care Medicine, Zhejiang Cancer Hospital, Hangzhou, China
| | - H Liu
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - Z Zhuo
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - G Zhang
- Department of Critical Care Medicine, Jilin Tumor Hospital, Changchun, China
| | - Z Guo
- Department of Critical Care Medicine, Shandong Cancer Hospital and Institute, Shandong, China
| | - Y Ye
- Department of Critical Care Medicine, Fujian Cancer Hospital, Fuzhou, China
| | - L Zhang
- Department of Critical Care Medicine, Anhui Provincial Cancer Hospital, Hefei, China
| | - X Zhou
- Department of Critical Care Medicine, Gansu Provincial Cancer Hospital, Lanzhou, China
| | - S Ma
- Department of Critical Care Medicine, Jiangsu Cancer Hospital, Nanjing, China
| | - Y Qiu
- Department of Critical Care Medicine, Jiangxi Cancer Hospital, Nanchang, China
| | - M Zhang
- Department of Critical Care Medicine, Hangzhou Cancer Hospital, Hangzhou, China
| | - Y Tao
- Department of Critical Care Medicine, Nantong Tumor Hospital, Nantong, China
| | - M Zhang
- Department of Critical Care Medicine, Baotou Cancer Hospital, Baotou, China
| | - L Xian
- Department of Critical Care Medicine, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - W Xie
- Department of Critical Care Medicine, The Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, China
| | - G Wang
- Department of Critical Care Medicine, The First Hospital of Jilin University, Changchun, China
| | - Y Wang
- Department of Critical Care Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - C Wang
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - D-H Wang
- Department of Critical Care Medicine, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - K Yu
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
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Singh AK, Viviano S, Allington G, McGee S, Kiziltug E, Mekbib KY, Shohfi JP, Duy PQ, DeSpenza T, Furey CG, Reeves BC, Smith H, Ma S, Sousa AMM, Cherskov A, Allocco A, Nelson-Williams C, Haider S, Rizvi SRA, Alper SL, Sestan N, Shimelis H, Walsh LK, Lifton RP, Moreno-De-Luca A, Jin SC, Kruszka P, Deniz E, Kahle KT. A novel SMARCC1 -mutant BAFopathy implicates epigenetic dysregulation of neural progenitors in hydrocephalus. medRxiv 2023:2023.03.19.23287455. [PMID: 36993720 PMCID: PMC10055611 DOI: 10.1101/2023.03.19.23287455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
Importance Hydrocephalus, characterized by cerebral ventriculomegaly, is the most common disorder requiring brain surgery. A few familial forms of congenital hydrocephalus (CH) have been identified, but the cause of most sporadic cases of CH remains elusive. Recent studies have implicated SMARCC1 , a component of the B RG1- a ssociated factor (BAF) chromatin remodeling complex, as a candidate CH gene. However, SMARCC1 variants have not been systematically examined in a large patient cohort or conclusively linked with a human syndrome. Moreover, CH-associated SMARCC1 variants have not been functionally validated or mechanistically studied in vivo . Objectives The aims of this study are to (i) assess the extent to which rare, damaging de novo mutations (DNMs) in SMARCC1 are associated with cerebral ventriculomegaly; (ii) describe the clinical and radiographic phenotypes of SMARCC1 -mutated patients; and (iii) assess the pathogenicity and mechanisms of CH-associated SMARCC1 mutations in vivo . Design setting and participants A genetic association study was conducted using whole-exome sequencing from a cohort consisting of 2,697 ventriculomegalic trios, including patients with neurosurgically-treated CH, totaling 8,091 exomes collected over 5 years (2016-2021). Data were analyzed in 2023. A comparison control cohort consisted of 1,798 exomes from unaffected siblings of patients with autism spectrum disorder and their unaffected parents sourced from the Simons simplex consortium. Main outcomes and measures Gene variants were identified and filtered using stringent, validated criteria. Enrichment tests assessed gene-level variant burden. In silico biophysical modeling estimated the likelihood and extent of the variant impact on protein structure. The effect of a CH-associated SMARCC1 mutation on the human fetal brain transcriptome was assessed by analyzing RNA-sequencing data. Smarcc1 knockdowns and a patient-specific Smarcc1 variant were tested in Xenopus and studied using optical coherence tomography imaging, in situ hybridization, and immunofluorescence microscopy. Results SMARCC1 surpassed genome-wide significance thresholds in DNM enrichment tests. Six rare protein-altering DNMs, including four loss-of-function mutations and one recurrent canonical splice site mutation (c.1571+1G>A) were detected in unrelated patients. DNMs localized to the highly conserved DNA-interacting SWIRM, Myb-DNA binding, Glu-rich, and Chromo domains of SMARCC1 . Patients exhibited developmental delay (DD), aqueductal stenosis, and other structural brain and heart defects. G0 and G1 Smarcc1 Xenopus mutants exhibited aqueductal stenosis and cardiac defects and were rescued by human wild-type SMARCC1 but not a patient-specific SMARCC1 mutant. Hydrocephalic SMARCC1 -mutant human fetal brain and Smarcc1 -mutant Xenopus brain exhibited a similarly altered expression of key genes linked to midgestational neurogenesis, including the transcription factors NEUROD2 and MAB21L2 . Conclusions SMARCC1 is a bona fide CH risk gene. DNMs in SMARCC1 cause a novel human BAFopathy we term " S MARCC1- a ssociated D evelopmental D ysgenesis S yndrome (SaDDS)", characterized by cerebral ventriculomegaly, aqueductal stenosis, DD, and a variety of structural brain or cardiac defects. These data underscore the importance of SMARCC1 and the BAF chromatin remodeling complex for human brain morphogenesis and provide evidence for a "neural stem cell" paradigm of human CH pathogenesis. These results highlight the utility of trio-based WES for identifying risk genes for congenital structural brain disorders and suggest WES may be a valuable adjunct in the clinical management of CH patients. KEY POINTS Question: What is the role of SMARCC1 , a core component of the B RG1- a ssociated factor (BAF) chromatin remodeling complex, in brain morphogenesis and congenital hydrocephalus (CH)? Findings: SMARCC1 harbored an exome-wide significant burden of rare, protein-damaging de novo mutations (DNMs) (p = 5.83 × 10 -9 ) in the largest ascertained cohort to date of patients with cerebral ventriculomegaly, including treated CH (2,697 parent-proband trios). SMARCC1 contained four loss-of-function DNMs and two identical canonical splice site DNMs in a total of six unrelated patients. Patients exhibited developmental delay, aqueductal stenosis, and other structural brain and cardiac defects. Xenopus Smarcc1 mutants recapitulated core human phenotypes and were rescued by the expression of human wild-type but not patient-mutant SMARCC1 . Hydrocephalic SMARCC1 -mutant human brain and Smarcc1 -mutant Xenopus brain exhibited similar alterationsin the expression of key transcription factors that regulate neural progenitor cell proliferation. Meaning: SMARCC1 is essential for human brain morphogenesis and is a bona fide CH risk gene. SMARCC1 mutations cause a novel human BAFopathy we term " S MARCC1- a ssociated D evelopmental D ysgenesis S yndrome (SaDDS)". These data implicate epigenetic dysregulation of fetal neural progenitors in the pathogenesis of hydrocephalus, with diagnostic and prognostic implications for patients and caregivers.
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30
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Luria V, Ma S, Shibata M, Pattabiraman K, Sestan N. Molecular and cellular mechanisms of human cortical connectivity. Curr Opin Neurobiol 2023; 80:102699. [PMID: 36921362 DOI: 10.1016/j.conb.2023.102699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 02/05/2023] [Indexed: 03/18/2023]
Abstract
Comparative studies of the cerebral cortex have identified various human and primate-specific changes in both local and long-range connectivity, which are thought to underlie our advanced cognitive capabilities. These changes are likely mediated by the divergence of spatiotemporal regulation of gene expression, which is particularly prominent in the prenatal and early postnatal human and non-human primate cerebral cortex. In this review, we describe recent advances in characterizing human and primate genetic and cellular innovations including identification of novel species-specific, especially human-specific, genes, gene expression patterns, and cell types. Finally, we highlight three recent studies linking these molecular changes to reorganization of cortical connectivity.
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Affiliation(s)
- Victor Luria
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Shaojie Ma
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Mikihito Shibata
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Kartik Pattabiraman
- Yale Child Study Center, Yale School of Medicine, New Haven, CT, 06510, USA.
| | - Nenad Sestan
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, 06510, USA; Yale Child Study Center, Yale School of Medicine, New Haven, CT, 06510, USA; Departments of Psychiatry, Genetics and Comparative Medicine, Program in Cellular Neuroscience, Neurodegeneration and Repair, and Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT, 06510, USA.
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31
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Wang J, Ma S, Wu Q, Xu Q, Wang J, Zhang R, Bai L, Li L, Liu H. Effects of testis testosterone deficiency on gene expression in the adrenal gland and skeletal muscle of ducks. Br Poult Sci 2023. [PMID: 36735924 DOI: 10.1080/00071668.2023.2176741] [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: 02/05/2023]
Abstract
1. Testosterone has an anabolic effect on skeletal muscle. The testes produce most of the testosterone in vivo, while the adrenal glands contribute smaller amounts. When testis testosterone is deficient the adrenal gland increases steroid hormone synthesis, which is referred to as compensatory testicular adaptation (CTA).2. To reveal the effects of testis testosterone deficiency on adrenal steroid hormones synthesis and skeletal muscle development, gene expression related to adrenal steroid hormones synthesis and skeletal muscle development were determined by RNA-seq.3. The results showed that castrating male ducks had significant effects on their body weight but no significant impact on cross-sectional area (CSA) or density of pectoral muscle fibres. In skeletal muscle protein metabolism, expression levels of the catabolic gene atrogin1/MAFbx and the anabolic gene eEF2 were significantly higher, with concomitant increases after castration. The adrenal glands' alteration of the steroid hormone 11β-hydroxylase (CYP11B1) was significantly lower following castration.4. Expression pattern analysis showed that the adrenal glands' glucocorticoid receptor (NR3C1/GR) had a potential regulatory relationship with the skeletal muscle-related genes (Pax7, mTOR, FBXO32, FOXO3, and FOXO4).5. The data showed that castration affected muscle protein metabolism, adrenal steroid and testosterone synthesis. In addition, it was speculated that, after castration, steroid hormones produced by the adrenal gland could have a compensatory effect, which might mediate the changes in skeletal muscle protein metabolism and development.
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Affiliation(s)
- J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, P.R. China
| | - S Ma
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, P.R. China
| | - Q Wu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, P.R. China
| | - Q Xu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, P.R. China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, P.R. China
| | - R Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, P.R. China
| | - L Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, P.R. China
| | - L Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, P.R. China
| | - H Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, P.R. China
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Qiu T, Ding Y, Qin J, Ren D, Xie M, Qian Q, Wang Y, Ma L, Jing A, Yang J, Ma S, Wang X, Wang W, Ji J, Li G. Epigenetic reactivation of PEG3 by EZH2 inhibitors suppresses renal clear cell carcinoma progress. Cell Signal 2023; 107:110662. [PMID: 37001595 DOI: 10.1016/j.cellsig.2023.110662] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/01/2023] [Accepted: 03/26/2023] [Indexed: 03/31/2023]
Abstract
PEG3 is a paternally imprinted gene located on chromosome 19q13.4 and one of the most common low-expression genes in human ovarian cancer. PEG3 plays an important role in p53-related cell death. However, whether PEG3 plays a role in renal clear cell carcinoma (ccRCC) remains unclear. Here, we found that PEG3 was epigenetic inactivated and played a tumor suppressor role in ccRCC. Overexpression of PEG3 inhibited ccRCC cell proliferation and colony formation, while removal of PEG3 significantly promoted cell proliferation in vitro and tumor formation in nude mice in vivo. EZH2-mediated H3K27me3 at the PEG3 promoter suppressed PEG3 expression. EZH2 specific inhibitors promote PEG3 transcriptional expression through the transition from H3K27me3 to H3K27ac at the PEG3 promoter region. Depletion of PEG3 inhibited the activation of the p53 signaling pathway, resulting in the resistance of ccRCC to EZH2 inhibitors treatment. Thus, our data show that EZH2-mediated epigenetic inactivation of PEG3 promotes the progress of ccRCC, and reactivation of PEG3 may be a promising strategy for ccRCC.
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Affiliation(s)
- Teng Qiu
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yuanyuan Ding
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Jingting Qin
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Dexu Ren
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Mengru Xie
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Qilan Qian
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yasong Wang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Ling Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Aixin Jing
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Jiayan Yang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Shaojie Ma
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Xiujun Wang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Weiling Wang
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China
| | - Jing Ji
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang 222005, China.
| | - Guanchu Li
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning Province, PR China
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Schaber J, Xiang R, Arnold A, Ryzhov A, Teichert J, Murcek P, Zwartek P, Ma S, Michel P. Impact of various cleaning procedures on p‐GaN surfaces. SURF INTERFACE ANAL 2023. [DOI: 10.1002/sia.7207] [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: 02/15/2023]
Affiliation(s)
- J. Schaber
- Helmholtz Zentrum Dresden Rossendorf Institute of Radiation Physics, ELBE
- Department of Physical Chemistry Technische Universität Dresden
| | - R. Xiang
- Helmholtz Zentrum Dresden Rossendorf Institute of Radiation Physics, ELBE
| | - A. Arnold
- Helmholtz Zentrum Dresden Rossendorf Institute of Radiation Physics, ELBE
| | - A. Ryzhov
- Helmholtz Zentrum Dresden Rossendorf Institute of Radiation Physics, ELBE
| | - J. Teichert
- Helmholtz Zentrum Dresden Rossendorf Institute of Radiation Physics, ELBE
| | - P. Murcek
- Helmholtz Zentrum Dresden Rossendorf Institute of Radiation Physics, ELBE
| | - P. Zwartek
- Helmholtz Zentrum Dresden Rossendorf Institute of Radiation Physics, ELBE
| | - S. Ma
- Helmholtz Zentrum Dresden Rossendorf Institute of Radiation Physics, ELBE
| | - P. Michel
- Helmholtz Zentrum Dresden Rossendorf Institute of Radiation Physics, ELBE
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Ma S, Zhang Y, Zhang X, Xie H, Tong Q, Yu K, Yang J. Dynamic Interactions Between Brilliant Green and MscL Investigated by Solid-State NMR Spectroscopy and Molecular Dynamics Simulations. Chemistry 2023; 29:e202202106. [PMID: 36251739 DOI: 10.1002/chem.202202106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Indexed: 11/22/2022]
Abstract
The mechanosensitive ion channel of large conductance (MscL) is a promising template for the development of new antibiotics due to its high conservation and uniqueness to microbes. Brilliant green (BG), a triarylmethane dye, has been identified as a new antibiotic targeted MscL. However, the detailed binding sites to MscL and the dynamic pathway of BG through the MscL channel remain unknown. Here, the dynamic interactions between BG and MscL were investigated using solid-state NMR spectroscopy and molecule dynamics (MD) simulations. Residue site-specific binding sites of BG to the MscL channel were identified by solid-state NMR. In addition, MD simulations revealed that BG conducts through the MscL channel via residues along the inner surface of the pore sequentially, in which the strong hydrophobic interactions between BG and hydrophobic residues F23 and I27 in the hydrophobic gate region of the MscL channel are major restrictions. Particularly, it was demonstrated that BG activates the MscL channel by reducing the hydrophobicity of the F23 in the gate region by water molecules that are bound to BG. Taken together, these simulations and experimental data provide novel insights into the dynamic interactions between BG and MscL, based on which new hydrophobic antibiotics and adjuvants targeting MscL can be developed.
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Affiliation(s)
- Shaojie Ma
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, P. R. China.,Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, P.R. China.,Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology and the Collaborative Innovation Center for Brain Science, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China
| | - Yan Zhang
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, P. R. China.,University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Xuning Zhang
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, P. R. China.,Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology and the Collaborative Innovation Center for Brain Science, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China
| | - Huayong Xie
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, P. R. China
| | - Qiong Tong
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, P. R. China
| | - Kunqian Yu
- Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, P.R. China
| | - Jun Yang
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, P. R. China.,Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology and the Collaborative Innovation Center for Brain Science, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China.,Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.,University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
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Klarić TS, Gudelj I, Santpere G, Sousa AMM, Novokmet M, Vučković F, Ma S, Bečeheli I, Sherwood CC, Ely JJ, Hof PR, Josić D, Lauc G, Sestan N. Human-specific features and developmental dynamics of the brain N-glycome. bioRxiv 2023:2023.01.11.523525. [PMID: 36711977 PMCID: PMC9882074 DOI: 10.1101/2023.01.11.523525] [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: 06/18/2023]
Abstract
Comparative "omics" studies have revealed unique aspects of human neurobiology, yet an evolutionary perspective of the brain N-glycome is lacking. Here, we performed multi-regional characterization of rat, macaque, chimpanzee, and human brain N-glycomes using chromatography and mass spectrometry, then integrated these data with complementary glycotranscriptomic data. We found that in primates the brain N-glycome has evolved more rapidly than the underlying transcriptomic framework, providing a mechanism for generating additional diversity. We show that brain N-glycome evolution in hominids has been characterized by an increase in complexity and α(2-6)-linked N-acetylneuraminic acid along with human-specific cell-type expression of key glycogenes. Finally, by comparing the prenatal and adult human brain N-glycome, we identify region-specific neurodevelopmental pathways that lead to distinct spatial N-glycosylation profiles in the mature brain. One-Sentence Summary Evolution of the human brain N-glycome has been marked by an increase in complexity and a shift in sialic acid linkage.
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36
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Xie H, Ma S, Zhao Y, Zhou H, Tong Q, Chen Y, Zhang Z, Yu K, Lin Q, Kai L, Liu M, Yang J. Molecular Mechanisms of Mercury-Sensitive Aquaporins. J Am Chem Soc 2022; 144:22229-22241. [PMID: 36413513 DOI: 10.1021/jacs.2c10240] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Aquaporins are transmembrane channels that allow for the passive permeation of water and other small molecules across biological membranes. Their channel activities are sensitive to mercury ions. Intriguingly, while most aquaporins are inhibited by mercury ions, several aquaporins are activated by mercury ions. The molecular basis of the opposing aquaporin regulation by mercury remains poorly understood. Herein, we investigated AqpZ inhibition and AQP6 activation upon binding of mercury ions using solid-state NMR (ssNMR) and molecular dynamics (MD) simulations. Based on the structure of the Hg-AqpZ complex constructed by MD simulations and ssNMR, we identified that the pore closure was caused by mercury-induced conformational changes of the key residue R189 in the selectivity filter region, while pore opening was caused by conformational changes of residues H181 and R196 in the selectivity filter region in AQP6. Both conformational changes were caused by the disruption of the H-bond network of R189/R196 by mercury. The molecular details provided a structural basis for mercury-mediated functional changes in aquaporins.
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Affiliation(s)
- Huayong Xie
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, P. R. China
| | - Shaojie Ma
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, P. R. China.,Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China.,Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology and the Collaborative Innovation Center for Brain Science, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, P. R. China
| | - Yongxiang Zhao
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, P. R. China
| | - Hu Zhou
- Department of Biological Sciences, NUS Environmental Research Institute (NERI), National University of Singapore, Singapore 117411, Singapore
| | - Qiong Tong
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, P. R. China.,Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology and the Collaborative Innovation Center for Brain Science, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, P. R. China
| | - Yanke Chen
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, P. R. China
| | - Zhengfeng Zhang
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, P. R. China
| | - Kunqian Yu
- Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China
| | - Qingsong Lin
- Department of Biological Sciences, NUS Environmental Research Institute (NERI), National University of Singapore, Singapore 117411, Singapore
| | - Lei Kai
- School of Life Sciences, Jiangsu Normal University, Xuzhou 221116, P. R. China
| | - Maili Liu
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, P. R. China.,Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology and the Collaborative Innovation Center for Brain Science, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, P. R. China
| | - Jun Yang
- National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, P. R. China.,Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology and the Collaborative Innovation Center for Brain Science, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, P. R. China
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37
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Wang H, Li X, Xu L, Ren Y, Deng W, Feng H, Yang Z, Ma S, Ni Q, Kuang Y. The Feasibility of Quad-Modal PET/SPECT/Spectral-CT/CBCT On-Board Imaging in a Small-Animal Radiation Therapy Platform. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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38
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Ma S, Skarica M, Li Q, Xu C, Risgaard RD, Tebbenkamp AT, Mato-Blanco X, Kovner R, Krsnik Ž, de Martin X, Luria V, Martí-Pérez X, Liang D, Karger A, Schmidt DK, Gomez-Sanchez Z, Qi C, Gobeske KT, Pochareddy S, Debnath A, Hottman CJ, Spurrier J, Teo L, Boghdadi AG, Homman-Ludiye J, Ely JJ, Daadi EW, Mi D, Daadi M, Marín O, Hof PR, Rasin MR, Bourne J, Sherwood CC, Santpere G, Girgenti MJ, Strittmatter SM, Sousa AM, Sestan N. Molecular and cellular evolution of the primate dorsolateral prefrontal cortex. Science 2022; 377:eabo7257. [PMID: 36007006 PMCID: PMC9614553 DOI: 10.1126/science.abo7257] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The granular dorsolateral prefrontal cortex (dlPFC) is an evolutionary specialization of primates that is centrally involved in cognition. We assessed more than 600,000 single-nucleus transcriptomes from adult human, chimpanzee, macaque, and marmoset dlPFC. Although most cell subtypes defined transcriptomically are conserved, we detected several that exist only in a subset of species as well as substantial species-specific molecular differences across homologous neuronal, glial, and non-neural subtypes. The latter are exemplified by human-specific switching between expression of the neuropeptide somatostatin and tyrosine hydroxylase, the rate-limiting enzyme in dopamine production in certain interneurons. The above molecular differences are also illustrated by expression of the neuropsychiatric risk gene FOXP2, which is human-specific in microglia and primate-specific in layer 4 granular neurons. We generated a comprehensive survey of the dlPFC cellular repertoire and its shared and divergent features in anthropoid primates.
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Affiliation(s)
- Shaojie Ma
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Mario Skarica
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Qian Li
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Chuan Xu
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Ryan D. Risgaard
- Waisman Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | | | - Xoel Mato-Blanco
- Neurogenomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), MELIS, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain
| | - Rothem Kovner
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Željka Krsnik
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | - Xabier de Martin
- Neurogenomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), MELIS, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain
| | - Victor Luria
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Xavier Martí-Pérez
- Neurogenomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), MELIS, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain
| | - Dan Liang
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Amir Karger
- IT-Research Computing, Harvard Medical School, Boston, MA, USA
| | - Danielle K. Schmidt
- Waisman Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Zachary Gomez-Sanchez
- Waisman Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Cai Qi
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Kevin T. Gobeske
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT 06510, USA
| | - Sirisha Pochareddy
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - Ashwin Debnath
- Waisman Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Cade J. Hottman
- Waisman Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Joshua Spurrier
- Program in Cellular Neuroscience, Neurodegeneration and Repair, Department of Neurology, Yale School of Medicine, New Haven, CT 06536, USA
| | - Leon Teo
- Australian Regenerative Medicine Institute, 15 Innovation Walk, Monash University, Clayton VIC, 3800, Australia
| | - Anthony G. Boghdadi
- Australian Regenerative Medicine Institute, 15 Innovation Walk, Monash University, Clayton VIC, 3800, Australia
| | - Jihane Homman-Ludiye
- Australian Regenerative Medicine Institute, 15 Innovation Walk, Monash University, Clayton VIC, 3800, Australia
| | - John J. Ely
- MAEBIOS, Alamogordo, NM 88310, USA
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC, USA
| | - Etienne W. Daadi
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Da Mi
- Tsinghua-Peking Center for Life Sciences, IDG/McGovern Institute for Brain Research, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Marcel Daadi
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX, USA
- Department of Cell Systems & Anatomy, Radiology, Long School of Medicine, UT Health San Antonio
- NeoNeuron LLC, Palo Alto, CA 94306, USA
| | - Oscar Marín
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE1 1UL, UK
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London SE1 1UL, UK
| | - Patrick R. Hof
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mladen-Roko Rasin
- Department of Neuroscience and Cell Biology, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - James Bourne
- Australian Regenerative Medicine Institute, 15 Innovation Walk, Monash University, Clayton VIC, 3800, Australia
| | - Chet C. Sherwood
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC, USA
| | - Gabriel Santpere
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
- Neurogenomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), MELIS, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain
| | - Matthew J. Girgenti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
- National Center for PTSD, US Department of Veterans Affairs, White River Junction, VT, USA
| | - Stephen M. Strittmatter
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
- Program in Cellular Neuroscience, Neurodegeneration and Repair, Department of Neurology, Yale School of Medicine, New Haven, CT 06536, USA
- Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
| | - André M.M. Sousa
- Waisman Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
- Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
- Departments of Genetics and Comparative Medicine, Program in Cellular Neuroscience, Neurodegeneration and Repair, and Yale Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
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39
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Yang Z, Xu C, Ma S, Zhao RQ, Yang HM, Wang ZY. Effects of betaine supplementation on reproductive performance of breeding geese. Br Poult Sci 2022; 64:283-288. [PMID: 36164766 DOI: 10.1080/00071668.2022.2128988] [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: 11/02/2022]
Abstract
1. An experiment feeding three concentrations of betaine was conducted using breeding geese to analyse the reproductive performance, serum biochemical indexes, egg quality and intestinal immunity.2. A total of 450 female and 90 male Jiangnan White breeding geese were divided into three treatments, with five pen replicates each containing 30 female geese and 6 male geese.3. The results showed that there was no significant effect on the reproductive performance, serum biochemical indexes or jejunal villi goblet cells of geese with different levels of betaine in the diet (P>0.05). Compared with the control group, the addition of 2.5 g/kg betaine to the diet showed a tendency to increase egg mass (P>0.05) the betaine content in the yolk (P<0.05). Feeding betaine significantly increased the height of jejunal villi and egg yolk total cholesterol content in female geese (P<0.05).4. In conclusion, adding betaine to the goose diet was effective in its ability to improve intestinal structures and increase egg production. Adding 2.5 g/kg betaine to feed significantly increased the content of TCHOL and betaine in goose eggs.
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Affiliation(s)
- Z Yang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu Province, 225009, P. R. China
| | - C Xu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province, 225009, P. R. China
| | - S Ma
- Key Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing, Jiangsu Province, P. R. China
| | - R Q Zhao
- Key Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing, Jiangsu Province, P. R. China
| | - H M Yang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province, 225009, P. R. China
| | - Z Y Wang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu Province, 225009, P. R. China.,College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province, 225009, P. R. China
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40
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Chen MLN, Bi Y, Chan HC, Lin Z, Ma S, Zhang S. Anomalous Electromagnetic Tunneling in Bianisotropic ϵ-μ-Zero Media. Phys Rev Lett 2022; 129:123901. [PMID: 36179206 DOI: 10.1103/physrevlett.129.123901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 08/15/2022] [Indexed: 06/16/2023]
Abstract
Quantum tunneling, one of the most celebrated effects arising from the wave nature of matter, describes the partial penetration of an incident propagating wave through a potential barrier in the form of an evanescent field that exponentially decays from the incident interface. A similar tunneling effect has also been observed in classical systems, such as the frustrated total internal reflection. Here we reveal an unexplored form of tunneling for electromagnetic waves which features opposite behaviors for the electric and magnetic fields, with one turning into a growing field, and the other a decaying field, in a medium that exhibits both ϵ-μ-zero and bianisotropy. Our Letter provides a new mechanism for manipulating electromagnetic waves for novel device applications.
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Affiliation(s)
- Menglin L N Chen
- Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong, People's Republic of China
| | - Yangang Bi
- Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong, People's Republic of China
| | - Hsun-Chi Chan
- Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong, People's Republic of China
| | - Zemeng Lin
- Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong, People's Republic of China
| | - Shaojie Ma
- Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong, People's Republic of China
| | - Shuang Zhang
- Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong, People's Republic of China
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Xia J, Zhang S, Zhang R, Wang A, Zhu Y, Dong M, Ma S, Hong C, Liu S, Wang D, Wang J. Targeting therapy and tumor microenvironment remodeling of triple-negative breast cancer by ginsenoside Rg3 based liposomes. J Nanobiotechnology 2022; 20:414. [PMID: 36109762 PMCID: PMC9479350 DOI: 10.1186/s12951-022-01623-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 09/01/2022] [Indexed: 11/10/2022] Open
Abstract
The chemotherapy effect of docetaxel (DTX) against triple-negative breast cancer (TNBC) remains mediocre and limited when encapsulated in conventional cholesterol liposomes, mainly ascribed to poor penetration and immunosuppressive tumor microenvironment (TME) caused by tumor stroma cells, especially cancer-associated fibroblasts (CAFs). Many studies have attempted to address these problems but trapped into the common dilemma of excessively complicated formulation strategies at the expense of druggability as well as clinical translational feasibility. To better address the discrepancy, ginsenoside Rg3 was utilized to substitute cholesterol to develop a multifunctional DTX-loaded Rg3 liposome (Rg3-Lp/DTX). The obtained Rg3-Lp/DTX was proved to be preferentially uptake by 4T1 cells and accumulate more at tumor site via the interaction between the glycosyl moiety of Rg3 exposed on liposome surface and glucose transporter1 (Glut1) overexpressed on tumor cells. After reaching tumor site, Rg3 was shown to reverse the activated CAFs to the resting stage and attenuate the dense stroma barrier by suppressing secretion of TGF-β from tumor cells and regulating TGF-β/Smad signaling. Therefore, reduced levels of CAFs and collagens were found in TME after incorporation of Rg3, inducing enhanced penetration of Rg3-Lp/DTX in the tumor and reversed immune system which can detect and neutralize tumor cells. Compared with wooden cholesterol liposomes, the smart and versatile Rg3-Lp/DTX could significantly improve the anti-tumor effect of DTX, providing a promising approach for TNBC therapy with excellent therapeutic efficacy and simple preparation process.
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Abstract
Synapses are the basic units for information processing and storage in the nervous system. It is only when the synaptic connection is established, that it becomes meaningful to discuss the structure and function of a circuit. In humans, our unparalleled cognitive abilities are correlated with an increase in the number of synapses. Additionally, genes involved in synaptogenesis are also frequently associated with neurological or psychiatric disorders, suggesting a relationship between synaptogenesis and brain physiology and pathology. Thus, understanding the molecular mechanisms of synaptogenesis is the key to the mystery of circuit assembly and neural computation. Furthermore, it would provide therapeutic insights for the treatment of neurological and psychiatric disorders. Multiple molecular events must be precisely coordinated to generate a synapse. To understand the molecular mechanisms underlying synaptogenesis, we need to know the molecular components of synapses, how these molecular components are held together, and how the molecular networks are refined in response to neural activity to generate new synapses. Thanks to the intensive investigations in this field, our understanding of the process of synaptogenesis has progressed significantly. Here, we will review the molecular mechanisms of synaptogenesis by going over the studies on the identification of molecular components in synapses and their functions in synaptogenesis, how cell adhesion molecules connect these synaptic molecules together, and how neural activity mobilizes these molecules to generate new synapses. Finally, we will summarize the human-specific regulatory mechanisms in synaptogenesis and results from human genetics studies on synaptogenesis and brain disorders.
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Affiliation(s)
- Cai Qi
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, United States
- *Correspondence: Cai Qi,
| | - Li-Da Luo
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, United States
- Department of Cellular and Molecular Physiology, Program in Cellular Neuroscience, Neurodegeneration and Repair, Yale University School of Medicine, New Haven, CT, United States
| | - Irena Feng
- Boston University School of Medicine, Boston, MA, United States
| | - Shaojie Ma
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, United States
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Xia B, Zhang M, Chen X, Jiang H, Wang J, Ye J, Ma S. EP14.01-021 Anlotinib Plus Irinotecan or Docetaxel in Small-Cell Lung Cancer (SCLC) Relapsed within Six Months: a Single-Arm Phase II Study. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Wu K, Chen X, Ma S. EP05.01-031 Lysimachia Capillipes Capilliposide C Enhances the Radiosensitivity of Lung Cancer by Promoting ERRFI1 via Inhibiting Phosphorylation of STAT3. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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45
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Shen J, Huang J, Li X, Xia B, Wang B, Yang S, Wu K, Zhang M, Wang J, Zhao P, Chen X, Ma S. EP08.02-136 Final Analysis of a Phase II Study: Anlotinib Plus Docetaxel in Patients with Previously Treated Metastatic Non-small Cell Lung Cancer. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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46
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Pan K, Zhu L, Wang B, Xu X, Ma S, Xia B. EP10.01-001 Hypofractionated Stereotactic Radiotherapy for Brain Metastases in Lung Cancer: Dose-Response Effect and Toxicity. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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47
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Xu Y, Zhu L, Ma S. EP08.02-167 Diverse Effects of Radiotherapy for Osimertinib Acquired Resistance Non-small Cell Lung Cancer: Gene Matters. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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48
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Chen S, Su Z, Ma S, Sun Z, Liu X, Huang M. 375P The co-mutations and genetic features of BRAF-mutated gene mutations in a large Chinese MSS colorectal cancer cohort. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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49
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Liu S, Ma S, Shao R, Zhang L, Yan T, Ma Q, Zhang S, Cui TJ. Moiré metasurfaces for dynamic beamforming. Sci Adv 2022; 8:eabo1511. [PMID: 35977023 PMCID: PMC9385154 DOI: 10.1126/sciadv.abo1511] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 07/05/2022] [Indexed: 05/22/2023]
Abstract
Recent advances in digitally programmable metamaterials have accelerated the development of reconfigurable intelligent surfaces (RIS). However, the excessive use of active components (e.g., pin diodes and varactor diodes) leads to high costs, especially for those operating at millimeter-wave frequencies, impeding their large-scale deployments in RIS. Here, we introduce an entirely different approach-moiré metasurfaces-to implement dynamic beamforming through mutual twists of two closely stacked metasurfaces. The superposition of two high-spatial-frequency patterns produces a low-spatial-frequency moiré pattern through the moiré effect, which provides the surface impedance profiles to generate desired radiation patterns. We demonstrate experimentally that the direction of the radiated beams can continuously sweep over the entire reflection space along predesigned trajectories by simply adjusting the twist angle and the overall orientation. Our work opens previously unexplored directions for synthesizing far-field scattering through the direct contact of mutually twisted metallic patterns with different plane symmetry groups.
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Affiliation(s)
- Shuo Liu
- State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
| | - Shaojie Ma
- Department of Physics, The University of Hong Kong, Hong Kong, China
| | - Ruiwen Shao
- State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
| | - Lei Zhang
- State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
| | - Tao Yan
- State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
| | - Qian Ma
- State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
| | - Shuang Zhang
- Department of Physics, The University of Hong Kong, Hong Kong, China
- Corresponding author. (T.J.C.); (S.Z.)
| | - Tie Jun Cui
- State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
- Corresponding author. (T.J.C.); (S.Z.)
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50
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Andrijevic D, Vrselja Z, Lysyy T, Zhang S, Skarica M, Spajic A, Dellal D, Thorn SL, Duckrow RB, Ma S, Duy PQ, Isiktas AU, Liang D, Li M, Kim SK, Daniele SG, Banu K, Perincheri S, Menon MC, Huttner A, Sheth KN, Gobeske KT, Tietjen GT, Zaveri HP, Latham SR, Sinusas AJ, Sestan N. Cellular recovery after prolonged warm ischaemia of the whole body. Nature 2022; 608:405-412. [PMID: 35922506 PMCID: PMC9518831 DOI: 10.1038/s41586-022-05016-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 06/23/2022] [Indexed: 02/05/2023]
Abstract
After cessation of blood flow or similar ischaemic exposures, deleterious molecular cascades commence in mammalian cells, eventually leading to their death1,2. Yet with targeted interventions, these processes can be mitigated or reversed, even minutes or hours post mortem, as also reported in the isolated porcine brain using BrainEx technology3. To date, translating single-organ interventions to intact, whole-body applications remains hampered by circulatory and multisystem physiological challenges. Here we describe OrganEx, an adaptation of the BrainEx extracorporeal pulsatile-perfusion system and cytoprotective perfusate for porcine whole-body settings. After 1 h of warm ischaemia, OrganEx application preserved tissue integrity, decreased cell death and restored selected molecular and cellular processes across multiple vital organs. Commensurately, single-nucleus transcriptomic analysis revealed organ- and cell-type-specific gene expression patterns that are reflective of specific molecular and cellular repair processes. Our analysis comprises a comprehensive resource of cell-type-specific changes during defined ischaemic intervals and perfusion interventions spanning multiple organs, and it reveals an underappreciated potential for cellular recovery after prolonged whole-body warm ischaemia in a large mammal.
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Affiliation(s)
- David Andrijevic
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA.,These authors contributed equally: David Andrijevic, Zvonimir Vrselja, Taras Lysyy, Shupei Zhang
| | - Zvonimir Vrselja
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA.,These authors contributed equally: David Andrijevic, Zvonimir Vrselja, Taras Lysyy, Shupei Zhang
| | - Taras Lysyy
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA.,Department of Surgery, Yale School of Medicine New Haven, New Haven, CT, USA.,These authors contributed equally: David Andrijevic, Zvonimir Vrselja, Taras Lysyy, Shupei Zhang
| | - Shupei Zhang
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA.,Department of Genetics, Yale School of Medicine, New Haven, CT, USA.,These authors contributed equally: David Andrijevic, Zvonimir Vrselja, Taras Lysyy, Shupei Zhang
| | - Mario Skarica
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Ana Spajic
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - David Dellal
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA.,Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Stephanie L. Thorn
- Yale Translational Research Imaging Center, Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Robert B. Duckrow
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Shaojie Ma
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Phan Q. Duy
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA.,Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA.,Medical Scientist Training Program (MD-PhD), Yale School of Medicine, New Haven, CT, USA
| | - Atagun U. Isiktas
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Dan Liang
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Mingfeng Li
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Suel-Kee Kim
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Stefano G. Daniele
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA.,Medical Scientist Training Program (MD-PhD), Yale School of Medicine, New Haven, CT, USA
| | - Khadija Banu
- Department of Nephrology, Yale School of Medicine, New Haven, CT, USA
| | - Sudhir Perincheri
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Madhav C. Menon
- Department of Nephrology, Yale School of Medicine, New Haven, CT, USA
| | - Anita Huttner
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Kevin N. Sheth
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA.,Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
| | - Kevin T. Gobeske
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Gregory T. Tietjen
- Department of Surgery, Yale School of Medicine New Haven, New Haven, CT, USA.,Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Hitten P. Zaveri
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Stephen R. Latham
- Interdisciplinary Center for Bioethics, Yale University, New Haven, CT, USA
| | - Albert J. Sinusas
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA.,Department of Biomedical Engineering, Yale University, New Haven, CT, USA.,Vascular Biology and Therapeutics Program, Yale School of Medicine, New Haven, CT, USA.,Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA. .,Department of Genetics, Yale School of Medicine, New Haven, CT, USA. .,Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA. .,Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA. .,Program in Cellular Neuroscience, Neurodegeneration and Repair, Yale School of Medicine, New Haven, CT, USA. .,Yale Child Study Center, New Haven, CT, USA.
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