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Sill J, Lukich S, Alejos A, Lim H, Chau P, Lowery R, McCormick A, Peng DM, Yu S, Schumacher KR. Changes in nutritional status and the development of obesity and metabolic syndrome following pediatric heart transplantation. Pediatr Transplant 2024; 28:e14782. [PMID: 38767001 DOI: 10.1111/petr.14782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 04/10/2024] [Accepted: 04/29/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Nutritional status in pediatric patients undergoing heart transplantation (HT) is frequently a focus of clinical management and requires high resource utilization. Pre-operative nutrition status has been shown to affect post-operative mortality but no studies have been performed to assess how nutritional status may change and the risk of developing nutritional comorbidities long-term in the post-transplant period. METHODS A single-center retrospective chart review of patients ≥2 years of age who underwent heart transplantation between 1/1/2005 and 4/30/2020 was performed. Patient data were collected at listing, time of transplant, 1-year, and 3-year follow-up post-transplant. Nutrition status was classified based on body mass index (BMI) percentile in the primary analysis. Alternative nutritional indices, namely the nutrition risk index (NRI), prognostic nutrition index (PNI), and BMI z-score, were utilized in secondary analyses. RESULTS Of the 63 patients included, the proportion of patients with overweight/obese status increased from 21% at listing to 41% at 3-year follow-up. No underweight patients at listing became overweight/obese at follow-up. Of patients who were overweight/obese at listing, 88% maintained that status at 3-year follow-up. Overweight/obese status at listing, 1-year, and 3-year post-transplantation were significantly associated with developing metabolic syndrome. In comparison to the alternative nutritional indices, BMI percentile best predicted post-transplant metabolic syndrome. CONCLUSIONS The results suggest that pediatric patients who undergo heart transplantation are at risk of developing overweight/obesity and related nutritional sequelae (ie, metabolic syndrome). Improved surveillance and interventions targeted toward overweight/obese HT patients should be investigated to reduce the burden of associated comorbidities.
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Affiliation(s)
- J Sill
- The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - S Lukich
- Department of Pediatrics, Lurie Children's Hospital - Northwestern University, Chicago, Illinois, USA
| | - A Alejos
- Department of Community Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - H Lim
- Division of Pediatric Cardiology, C.S. Mott Children's Hospital - University of Michigan, Ann Arbor, Michigan, USA
| | - P Chau
- Division of Pediatric Cardiology, Rady Children's Hospital, San Diego, California, USA
| | - R Lowery
- Division of Pediatric Cardiology, C.S. Mott Children's Hospital - University of Michigan, Ann Arbor, Michigan, USA
| | - A McCormick
- Division of Pediatric Cardiology, C.S. Mott Children's Hospital - University of Michigan, Ann Arbor, Michigan, USA
| | - D M Peng
- Division of Pediatric Cardiology, C.S. Mott Children's Hospital - University of Michigan, Ann Arbor, Michigan, USA
| | - S Yu
- Division of Pediatric Cardiology, C.S. Mott Children's Hospital - University of Michigan, Ann Arbor, Michigan, USA
| | - K R Schumacher
- Division of Pediatric Cardiology, C.S. Mott Children's Hospital - University of Michigan, Ann Arbor, Michigan, USA
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Pei D, Zeng Z, Geng Z, Cai K, Lu D, Guo C, Guo H, Huang J, Gao B, Yu S. Modulation of macrophage polarization by secondary cross-linked hyaluronan-dopamine hydrogels. Int J Biol Macromol 2024; 270:132417. [PMID: 38759857 DOI: 10.1016/j.ijbiomac.2024.132417] [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: 07/31/2023] [Revised: 04/14/2024] [Accepted: 05/14/2024] [Indexed: 05/19/2024]
Abstract
The inflammatory response plays a critical role in standard tissue repair processes, wherein active modulation of macrophage polarization is necessary for wound healing. Dopamine, a mussel-inspired bioactive material, is widely involved in wound healing, neural/bone/myocardial regeneration, and more. Recent studies indicated that dopamine-modified biomaterials can potentially alter macrophages polarization towards a pro-healing phenotype, thereby enhancing tissue regeneration. Nevertheless the immunoregulatory activity of dopamine on macrophage polarization remains unclear. This study introduces a novel interpenetrating hydrogel to bridge this research gap. The hydrogel, combining varying concentrations of oxidized dopamine with hyaluronic acid hydrogel, allows precise regulation of mechanical properties, antioxidant bioactivity, and biocompatibility. Surprisingly, both in vivo and in vitro outcomes demonstrated that dopamine concentration modulates macrophage polarization, but not linearly. Lower concentration (2 mg/mL) potentially decrease inflammation and facilitate M2 type macrophage polarization. In contrast, higher concentration (10 mg/mL) exhibited a pro-inflammatory tendency in the late stages of implantation. RNA-seq analysis revealed that lower dopamine concentrations induced the M1/M2 transition of macrophages by modulating the NF-κB signaling pathway. Collectively, this research offers valuable insights into the immunoregulation effects of dopamine-integrated biomaterials in tissue repair and regeneration.
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Affiliation(s)
- Dating Pei
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China; Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangzhou 510500, China; National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China
| | - Zhiwen Zeng
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China; Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangzhou 510500, China
| | - Zhijie Geng
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China; Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangzhou 510500, China; National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China
| | - Kehan Cai
- School of Biomedical Engineering, The University of Sydney, Sydney, NSW 2008, Australia; National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China
| | - Daohuan Lu
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China; Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangzhou 510500, China; National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China
| | - Cuiping Guo
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China; Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangzhou 510500, China; National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China
| | - Huilong Guo
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China; Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangzhou 510500, China
| | - Jun Huang
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China; Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangzhou 510500, China.
| | - Botao Gao
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China; Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangzhou 510500, China; National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China.
| | - Shan Yu
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China; Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangzhou 510500, China; National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China.
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3
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Xu P, Chen P, Sun Y, Nuliqiman M, Zhou Y, Cao J, Yu S, Huang J, Ye J. A novel injectable thermo/photo dual-crosslinking hydrogel based on modified chitosan for fast sealing open globe injury. Carbohydr Polym 2024; 331:121854. [PMID: 38388052 DOI: 10.1016/j.carbpol.2024.121854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 01/18/2024] [Accepted: 01/20/2024] [Indexed: 02/24/2024]
Abstract
Open globe injuries (OGIs) demand immediate attention to prevent further complications and improve vision prognosis. Herein, we developed a thermo/photo dual-crosslinking injectable hydrogel, HBC_m_Arg, for rapidly sealing OGIs in emergency ophthalmic cases. HBC_m_Arg was prepared with arginine and methacrylic anhydride modified hydroxybutyl chitosan (HBC). HBC_m_Arg was initially in liquid form at 25 °C, enabling easy injection at the injury site. After reaching the ocular surface temperature, it underwent reversible heat-induced gelation to achieve in situ transformation. Further, HBC_m_Arg was capable of rapid photocrosslinking under UV light, forming a dual network structure to bolster mechanical strength, thereby facilitating effective OGI closure. Biocompatibility assessments, including in vitro studies with three ocular cell types and in vivo experiments on rabbit eyes, confirmed the safety profile of HBC_m_Arg. Ex vivo and in vivo burst pressure tests demonstrated the hydrogel's ability to promptly restore intraocular pressure and withstand elevated pressures, underscoring its potential for OGI stabilization. Additionally, the suitable degradation of HBC_m_Arg within ocular tissues, coupled with its stability in ex vivo assessments, presented a delicate balance between stability and biodegradability. In conclusion, HBC_m_Arg holds promise for improving emergency ophthalmic care by providing a rapid, effective, and safe way to seal OGIs in critical situations.
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Affiliation(s)
- Peifang Xu
- Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, Zhejiang, China
| | - Pengjie Chen
- Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, Zhejiang, China
| | - Yiming Sun
- Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, Zhejiang, China
| | - Maimaiti Nuliqiman
- Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, Zhejiang, China
| | - Yifan Zhou
- Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, Zhejiang, China
| | - Jing Cao
- Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, Zhejiang, China
| | - Shan Yu
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou, China
| | - Jun Huang
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou, China.
| | - Juan Ye
- Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, Zhejiang, China.
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4
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Lopez VK, Cramer EY, Pagano R, Drake JM, O’Dea EB, Adee M, Ayer T, Chhatwal J, Dalgic OO, Ladd MA, Linas BP, Mueller PP, Xiao J, Bracher J, Castro Rivadeneira AJ, Gerding A, Gneiting T, Huang Y, Jayawardena D, Kanji AH, Le K, Mühlemann A, Niemi J, Ray EL, Stark A, Wang Y, Wattanachit N, Zorn MW, Pei S, Shaman J, Yamana TK, Tarasewicz SR, Wilson DJ, Baccam S, Gurung H, Stage S, Suchoski B, Gao L, Gu Z, Kim M, Li X, Wang G, Wang L, Wang Y, Yu S, Gardner L, Jindal S, Marshall M, Nixon K, Dent J, Hill AL, Kaminsky J, Lee EC, Lemaitre JC, Lessler J, Smith CP, Truelove S, Kinsey M, Mullany LC, Rainwater-Lovett K, Shin L, Tallaksen K, Wilson S, Karlen D, Castro L, Fairchild G, Michaud I, Osthus D, Bian J, Cao W, Gao Z, Lavista Ferres J, Li C, Liu TY, Xie X, Zhang S, Zheng S, Chinazzi M, Davis JT, Mu K, Pastore y Piontti A, Vespignani A, Xiong X, Walraven R, Chen J, Gu Q, Wang L, Xu P, Zhang W, Zou D, Gibson GC, Sheldon D, Srivastava A, Adiga A, Hurt B, Kaur G, Lewis B, Marathe M, Peddireddy AS, Porebski P, Venkatramanan S, Wang L, Prasad PV, Walker JW, Webber AE, Slayton RB, Biggerstaff M, Reich NG, Johansson MA. Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLoS Comput Biol 2024; 20:e1011200. [PMID: 38709852 PMCID: PMC11098513 DOI: 10.1371/journal.pcbi.1011200] [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: 05/30/2023] [Revised: 05/16/2024] [Accepted: 04/01/2024] [Indexed: 05/08/2024] Open
Abstract
During the COVID-19 pandemic, forecasting COVID-19 trends to support planning and response was a priority for scientists and decision makers alike. In the United States, COVID-19 forecasting was coordinated by a large group of universities, companies, and government entities led by the Centers for Disease Control and Prevention and the US COVID-19 Forecast Hub (https://covid19forecasthub.org). We evaluated approximately 9.7 million forecasts of weekly state-level COVID-19 cases for predictions 1-4 weeks into the future submitted by 24 teams from August 2020 to December 2021. We assessed coverage of central prediction intervals and weighted interval scores (WIS), adjusting for missing forecasts relative to a baseline forecast, and used a Gaussian generalized estimating equation (GEE) model to evaluate differences in skill across epidemic phases that were defined by the effective reproduction number. Overall, we found high variation in skill across individual models, with ensemble-based forecasts outperforming other approaches. Forecast skill relative to the baseline was generally higher for larger jurisdictions (e.g., states compared to counties). Over time, forecasts generally performed worst in periods of rapid changes in reported cases (either in increasing or decreasing epidemic phases) with 95% prediction interval coverage dropping below 50% during the growth phases of the winter 2020, Delta, and Omicron waves. Ideally, case forecasts could serve as a leading indicator of changes in transmission dynamics. However, while most COVID-19 case forecasts outperformed a naïve baseline model, even the most accurate case forecasts were unreliable in key phases. Further research could improve forecasts of leading indicators, like COVID-19 cases, by leveraging additional real-time data, addressing performance across phases, improving the characterization of forecast confidence, and ensuring that forecasts were coherent across spatial scales. In the meantime, it is critical for forecast users to appreciate current limitations and use a broad set of indicators to inform pandemic-related decision making.
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Affiliation(s)
- Velma K. Lopez
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Estee Y. Cramer
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Robert Pagano
- Unaffiliated, Tucson, Arizona, United States of America
| | - John M. Drake
- University of Georgia, Athens, Georgia, United States of America
| | - Eamon B. O’Dea
- University of Georgia, Athens, Georgia, United States of America
| | - Madeline Adee
- Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Turgay Ayer
- Georgia Institute of Technology, Atlanta, Georgia, United States of America
| | - Jagpreet Chhatwal
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Ozden O. Dalgic
- Value Analytics Labs, Boston, Massachusetts, United States of America
| | - Mary A. Ladd
- Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Benjamin P. Linas
- Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Peter P. Mueller
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jade Xiao
- Georgia Institute of Technology, Atlanta, Georgia, United States of America
| | - Johannes Bracher
- Chair of Econometrics and Statistics, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | | | - Aaron Gerding
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Tilmann Gneiting
- Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
| | - Yuxin Huang
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Dasuni Jayawardena
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Abdul H. Kanji
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Khoa Le
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Anja Mühlemann
- Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland
| | - Jarad Niemi
- Iowa State University, Ames, Iowa, United States of America
| | - Evan L. Ray
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Ariane Stark
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Yijin Wang
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Nutcha Wattanachit
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Martha W. Zorn
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Sen Pei
- Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Jeffrey Shaman
- Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Teresa K. Yamana
- Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Samuel R. Tarasewicz
- Federal Reserve Bank of San Francisco, San Francisco, California, United States of America
| | - Daniel J. Wilson
- Federal Reserve Bank of San Francisco, San Francisco, California, United States of America
| | - Sid Baccam
- IEM, Bel Air, Maryland, United States of America
| | - Heidi Gurung
- IEM, Bel Air, Maryland, United States of America
| | - Steve Stage
- IEM, Baton Rouge, Louisiana, United States of America
| | | | - Lei Gao
- George Mason University, Fairfax, Virginia, United States of America
| | - Zhiling Gu
- Iowa State University, Ames, Iowa, United States of America
| | - Myungjin Kim
- Kyungpook National University, Bukgu, Daegu, Republic of Korea
| | - Xinyi Li
- Clemson University, Clemson, South Carolina, United States of America
| | - Guannan Wang
- College of William & Mary, Williamsburg, Virginia, United States of America
| | - Lily Wang
- George Mason University, Fairfax, Virginia, United States of America
| | - Yueying Wang
- Amazon, Seattle, Washington, United States of America
| | - Shan Yu
- University of Virginia, Charlottesville, Virginia, United States of America
| | - Lauren Gardner
- Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Sonia Jindal
- Johns Hopkins University, Baltimore, Maryland, United States of America
| | | | - Kristen Nixon
- Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Juan Dent
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Alison L. Hill
- Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Joshua Kaminsky
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Elizabeth C. Lee
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | | | - Justin Lessler
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Claire P. Smith
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Shaun Truelove
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Matt Kinsey
- Johns Hopkins University Applied Physics Lab, Baltimore, Maryland, United States of America
| | - Luke C. Mullany
- Johns Hopkins University Applied Physics Lab, Baltimore, Maryland, United States of America
| | | | - Lauren Shin
- Johns Hopkins University Applied Physics Lab, Baltimore, Maryland, United States of America
| | - Katharine Tallaksen
- Johns Hopkins University Applied Physics Lab, Baltimore, Maryland, United States of America
| | - Shelby Wilson
- Johns Hopkins University Applied Physics Lab, Baltimore, Maryland, United States of America
| | - Dean Karlen
- University of Victoria and TRIUMF, Victoria, British Columbia, Canada
| | - Lauren Castro
- Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
| | - Geoffrey Fairchild
- Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
| | - Isaac Michaud
- Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
| | - Dave Osthus
- Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
| | - Jiang Bian
- Microsoft, Redmond, Washington, United States of America
| | - Wei Cao
- Microsoft, Redmond, Washington, United States of America
| | - Zhifeng Gao
- Microsoft, Redmond, Washington, United States of America
| | | | - Chaozhuo Li
- Microsoft, Redmond, Washington, United States of America
| | - Tie-Yan Liu
- Microsoft, Redmond, Washington, United States of America
| | - Xing Xie
- Microsoft, Redmond, Washington, United States of America
| | - Shun Zhang
- Microsoft, Redmond, Washington, United States of America
| | - Shun Zheng
- Microsoft, Redmond, Washington, United States of America
| | - Matteo Chinazzi
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts, United States of America
| | - Jessica T. Davis
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts, United States of America
| | - Kunpeng Mu
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts, United States of America
| | - Ana Pastore y Piontti
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts, United States of America
| | - Alessandro Vespignani
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts, United States of America
| | - Xinyue Xiong
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts, United States of America
| | | | - Jinghui Chen
- University of California, Los Angeles, Los Angeles, California, United States of America
| | - Quanquan Gu
- University of California, Los Angeles, Los Angeles, California, United States of America
| | - Lingxiao Wang
- University of California, Los Angeles, Los Angeles, California, United States of America
| | - Pan Xu
- University of California, Los Angeles, Los Angeles, California, United States of America
| | - Weitong Zhang
- University of California, Los Angeles, Los Angeles, California, United States of America
| | - Difan Zou
- University of California, Los Angeles, Los Angeles, California, United States of America
| | - Graham Casey Gibson
- Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
| | - Daniel Sheldon
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Ajitesh Srivastava
- University of Southern California, Los Angeles, California, United States of America
| | - Aniruddha Adiga
- University of Virginia, Charlottesville, Virginia, United States of America
| | - Benjamin Hurt
- University of Virginia, Charlottesville, Virginia, United States of America
| | - Gursharn Kaur
- University of Virginia, Charlottesville, Virginia, United States of America
| | - Bryan Lewis
- University of Virginia, Charlottesville, Virginia, United States of America
| | - Madhav Marathe
- University of Virginia, Charlottesville, Virginia, United States of America
| | | | | | | | - Lijing Wang
- New Jersey Institute of Technology, Newark, New Jersey, United States of America
| | - Pragati V. Prasad
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Jo W. Walker
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Alexander E. Webber
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Rachel B. Slayton
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Matthew Biggerstaff
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Nicholas G. Reich
- University of Massachusetts, Amherst, Amherst, Massachusetts, United States of America
| | - Michael A. Johansson
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
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5
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Zheng Y, Liu X, Yang K, Chen X, Wang J, Zhao K, Dong W, Yin G, Yu S, Yang S, Lu M, Su G, Zhao S. Cardiac MRI feature-tracking-derived torsion mechanics in systolic and diastolic dysfunction in systemic light-chain cardiac amyloidosis. Clin Radiol 2024; 79:e692-e701. [PMID: 38388253 DOI: 10.1016/j.crad.2023.12.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 11/09/2023] [Accepted: 12/29/2023] [Indexed: 02/24/2024]
Abstract
AIM To describe the myocardial torsion mechanics in cardiac amyloidosis (CA), and evaluate the correlations between left ventricle (LV) torsion mechanics and conventional parameters using cardiac magnetic resonance imaging feature tracking (CMR-FT). MATERIALS AND METHODS One hundred and thirty-nine patients with light-chain CA (AL-CA) were divided into three groups: group 1 with preserved systolic function (LV ejection fraction [LVEF] ≥50%, n=55), group 2 with mildly reduced systolic function (40% ≤ LVEF <50%, n=51), and group 3 with reduced systolic function (LVEF <40%, n=33), and compared with age- and gender-matched healthy controls (n=26). All patients underwent cine imaging and late gadolinium-enhancement (LGE). Cine images were analysed offline using CMR-FT to estimate torsion parameters. RESULTS Global torsion, base-mid torsion, and peak diastolic torsion rate (diasTR) were significantly impaired in patients with preserved systolic function (p<0.05 for all), whereas mid-apex torsion and peak systolic torsion rate (sysTR) were preserved (p>0.05 for both) compared with healthy controls. In patients with mildly reduced systolic function, global torsion and base-mid torsion were lower compared to those with preserved systolic function (p<0.05 for both), while mid-apex torsion, sysTR, and diasTR were preserved (p>0.05 for all). In patients with reduced systolic function, only sysTR was significantly worse compared with mildly reduced systolic function (p<0.05). At multivariable analysis, right ventricle (RV) end-systolic volume RVESV index and NYHA class were independently related to global torsion, whereas LVEF was independently related to sysTR. RV ejection fraction (RVEF) was independently related to diasTR. LV global torsion performed well (AUC 0.71; 95% confidence interval [CI]: 0.61, 0.77) in discriminating transmural from non-transmural LGE in AL-CA patients. CONCLUSION LV torsion mechanics derived by CMR-FT could help to monitor LV systolic and diastolic function in AL-CA patients and function as a new imaging marker for LV dysfunction and LGE transmurality.
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Affiliation(s)
- Y Zheng
- Department of Radiology, Tsinghua University Hospital, Tsinghua University, Beijing, 100084, China; Department of Magnetic Resonance Imaging, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beilishi Road No 167, Xicheng District, Beijing 100037, China
| | - X Liu
- Department of Neurology, Beijing Geriatric Hospital, Wenquan Road No 118, Haidian District, Beijing 100095, China
| | - K Yang
- Department of Magnetic Resonance Imaging, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beilishi Road No 167, Xicheng District, Beijing 100037, China
| | - X Chen
- Department of Magnetic Resonance Imaging, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beilishi Road No 167, Xicheng District, Beijing 100037, China
| | - J Wang
- Department of Magnetic Resonance Imaging, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beilishi Road No 167, Xicheng District, Beijing 100037, China
| | - K Zhao
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, SZ University Town, Shenzhen 518055, China
| | - W Dong
- Department of Magnetic Resonance Imaging, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beilishi Road No 167, Xicheng District, Beijing 100037, China
| | - G Yin
- Department of Magnetic Resonance Imaging, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beilishi Road No 167, Xicheng District, Beijing 100037, China
| | - S Yu
- Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu 610041, Sichuan, China
| | - S Yang
- Department of Magnetic Resonance Imaging, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beilishi Road No 167, Xicheng District, Beijing 100037, China
| | - M Lu
- Department of Magnetic Resonance Imaging, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beilishi Road No 167, Xicheng District, Beijing 100037, China
| | - G Su
- Department of Cardiology, Jinan Central Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250013, China.
| | - S Zhao
- Department of Magnetic Resonance Imaging, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beilishi Road No 167, Xicheng District, Beijing 100037, China.
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Cui Y, Li C, Lu Y, Ma L, Cheng L, Cao L, Yu S, Jiang T. Multimodal Connectivity-based Individual Parcellation and Analysis for Humans and Rhesus Monkeys. IEEE Trans Med Imaging 2024; PP:1-1. [PMID: 38656866 DOI: 10.1109/tmi.2024.3392946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Individual brains vary greatly in morphology, connectivity and organization. Individualized brain parcellation is capable of precisely localizing subject-specific functional regions. However, most individualization approaches examined single modality of data and have not generalized to nonhuman primates. The present study proposed a novel multimodal connectivity-based individual parcellation (MCIP) method, which optimizes within-region homogeneity, spatial continuity and similarity to a reference atlas with the fusion of personal functional and anatomical connectivity. Comprehensive evaluation demonstrated that MCIP outperformed state-of-the-art multimodal individualization methods in terms of functional and anatomical homogeneity, predictability of cognitive measures, heritability, reproducibility and generalizability across species. Comparative investigation showed a higher topographic variability in humans than that in macaques. Therefore, MCIP provides improved accurate and reliable mapping of brain functional regions over existing methods at an individual level across species, and could facilitate comparative and translational neuroscience research.
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Li Y, Yan J, Sun H, Liang Y, Zhao Q, Yu S, Zhang Y. Ferroptosis inhibitor alleviates sorafenib-induced cardiotoxicity by attenuating KLF11-mediated FSP1-dependent ferroptosis. Int J Biol Sci 2024; 20:2622-2639. [PMID: 38725840 PMCID: PMC11077382 DOI: 10.7150/ijbs.86479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 04/17/2024] [Indexed: 05/12/2024] Open
Abstract
Sorafenib is a standard first-line drug for advanced hepatocellular carcinoma, but the serious cardiotoxic effects restrict its therapeutic applicability. Here, we show that iron-dependent ferroptosis plays a vital role in sorafenib-induced cardiotoxicity. Remarkably, our in vivo and in vitro experiments demonstrated that ferroptosis inhibitor application neutralized sorafenib-induced heart injury. By analyzing transcriptome profiles of adult human sorafenib-treated cardiomyocytes, we found that Krüppel-like transcription factor 11 (KLF11) expression significantly increased after sorafenib stimulation. Mechanistically, KLF11 promoted ferroptosis by suppressing transcription of ferroptosis suppressor protein 1 (FSP1), a seminal breakthrough due to its ferroptosis-repressing properties. Moreover, FSP1 knockdown showed equivalent results to glutathione peroxidase 4 (GPX4) knockdown, and FSP1 overexpression counteracted GPX4 inhibition-induced ferroptosis to a substantial extent. Cardiac-specific overexpression of FSP1 and silencing KLF11 by an adeno-associated virus serotype 9 markedly improved cardiac dysfunction in sorafenib-treated mice. In summary, FSP1-mediated ferroptosis is a crucial mechanism for sorafenib-provoked cardiotoxicity, and targeting ferroptosis may be a promising therapeutic strategy for alleviating sorafenib-induced cardiac damage.
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Affiliation(s)
- Yilan Li
- Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
- Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin Medical University, Harbin 150086, China
| | - Jingru Yan
- Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
- Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin Medical University, Harbin 150086, China
| | - Heng Sun
- Cancer Centre, Faculty of Health Sciences, University of Macau, Macau, China
- Ministry of Education Frontiers Science Center for Precision Oncology, University of Macau, Macau, China
| | - Yating Liang
- Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
- Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin Medical University, Harbin 150086, China
| | - Qianqian Zhao
- Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
- Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin Medical University, Harbin 150086, China
| | - Shan Yu
- Department of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Yao Zhang
- Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
- Key Laboratory of Myocardial Ischemia, Ministry of Education, Harbin Medical University, Harbin 150086, China
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8
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Yu S, Li WV. spVC for the detection and interpretation of spatial gene expression variation. Genome Biol 2024; 25:103. [PMID: 38641849 PMCID: PMC11027374 DOI: 10.1186/s13059-024-03245-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 04/10/2024] [Indexed: 04/21/2024] Open
Abstract
Spatially resolved transcriptomics technologies have opened new avenues for understanding gene expression heterogeneity in spatial contexts. However, existing methods for identifying spatially variable genes often focus solely on statistical significance, limiting their ability to capture continuous expression patterns and integrate spot-level covariates. To address these challenges, we introduce spVC, a statistical method based on a generalized Poisson model. spVC seamlessly integrates constant and spatially varying effects of covariates, facilitating comprehensive exploration of gene expression variability and enhancing interpretability. Simulation and real data applications confirm spVC's accuracy in these tasks, highlighting its versatility in spatial transcriptomics analysis.
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Affiliation(s)
- Shan Yu
- Department of Statistics, Unversity of Virginia, Charlottesville, 22903, VA, USA.
| | - Wei Vivian Li
- Department of Statistics, University of California, Riverside, 92521, CA, USA.
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Abbasi R, Ackermann M, Adams J, Agarwalla SK, Aguilar JA, Ahlers M, Alameddine JM, Amin NM, Andeen K, Anton G, Argüelles C, Ashida Y, Athanasiadou S, Axani SN, Bai X, Balagopal VA, Baricevic M, Barwick SW, Basu V, Bay R, Beatty JJ, Becker Tjus J, Beise J, Bellenghi C, Benning C, BenZvi S, Berley D, Bernardini E, Besson DZ, Blaufuss E, Blot S, Bontempo F, Book JY, Boscolo Meneguolo C, Böser S, Botner O, Böttcher J, Bourbeau E, Braun J, Brinson B, Brostean-Kaiser J, Burley RT, Busse RS, Butterfield D, Campana MA, Carloni K, Carnie-Bronca EG, Chattopadhyay S, Chau N, Chen C, Chen Z, Chirkin D, Choi S, Clark BA, Classen L, Coleman A, Collin GH, Connolly A, Conrad JM, Coppin P, Correa P, Cowen DF, Dave P, De Clercq C, DeLaunay JJ, Delgado D, Deng S, Deoskar K, Desai A, Desiati P, de Vries KD, de Wasseige G, DeYoung T, Diaz A, Díaz-Vélez JC, Dittmer M, Domi A, Dujmovic H, DuVernois MA, Ehrhardt T, Eller P, Ellinger E, El Mentawi S, Elsässer D, Engel R, Erpenbeck H, Evans J, Evenson PA, Fan KL, Fang K, Farrag K, Fazely AR, Feigl N, Fiedlschuster S, Fienberg AT, Finley C, Fischer L, Fox D, Franckowiak A, Fritz A, Fürst P, Gallagher J, Ganster E, Garcia A, Gerhardt L, Ghadimi A, Glaser C, Glauch T, Glüsenkamp T, Goehlke N, Gonzalez JG, Goswami S, Grant D, Gray SJ, Gries O, Griffin S, Griswold S, Groth KM, Günther C, Gutjahr P, Haack C, Hallgren A, Halliday R, Halve L, Halzen F, Hamdaoui H, Ha Minh M, Hanson K, Hardin J, Harnisch AA, Hatch P, Haungs A, Helbing K, Hellrung J, Henningsen F, Heuermann L, Heyer N, Hickford S, Hidvegi A, Hill C, Hill GC, Hoffman KD, Hori S, Hoshina K, Hou W, Huber T, Hultqvist K, Hünnefeld M, Hussain R, Hymon K, In S, Ishihara A, Jacquart M, Janik O, Jansson M, Japaridze GS, Jeong M, Jin M, Jones BJP, Kang D, Kang W, Kang X, Kappes A, Kappesser D, Kardum L, Karg T, Karl M, Karle A, Katz U, Kauer M, Kelley JL, Khatee Zathul A, Kheirandish A, Kiryluk J, Klein SR, Kochocki A, Koirala R, Kolanoski H, Kontrimas T, Köpke L, Kopper C, Koskinen DJ, Koundal P, Kovacevich M, Kowalski M, Kozynets T, Krishnamoorthi J, Kruiswijk K, Krupczak E, Kumar A, Kun E, Kurahashi N, Lad N, Lagunas Gualda C, Lamoureux M, Larson MJ, Latseva S, Lauber F, Lazar JP, Lee JW, Leonard DeHolton K, Leszczyńska A, Lincetto M, Liu QR, Liubarska M, Lohfink E, Love C, Lozano Mariscal CJ, Lucarelli F, Luszczak W, Lyu Y, Madsen J, Mahn KBM, Makino Y, Manao E, Mancina S, Marie Sainte W, Mariş IC, Marka S, Marka Z, Marsee M, Martinez-Soler I, Maruyama R, Mayhew F, McElroy T, McNally F, Mead JV, Meagher K, Mechbal S, Medina A, Meier M, Merckx Y, Merten L, Micallef J, Mitchell J, Montaruli T, Moore RW, Morii Y, Morse R, Moulai M, Mukherjee T, Naab R, Nagai R, Nakos M, Naumann U, Necker J, Negi A, Neumann M, Niederhausen H, Nisa MU, Noell A, Novikov A, Nowicki SC, Obertacke Pollmann A, O'Dell V, Oehler M, Oeyen B, Olivas A, Orsoe R, Osborn J, O'Sullivan E, Pandya H, Pankova DV, Park N, Parker GK, Paudel EN, Paul L, Pérez de Los Heros C, Peterson J, Philippen S, Pizzuto A, Plum M, Pontén A, Popovych Y, Prado Rodriguez M, Pries B, Procter-Murphy R, Przybylski GT, Raab C, Rack-Helleis J, Rawlins K, Rechav Z, Rehman A, Reichherzer P, Renzi G, Resconi E, Reusch S, Rhode W, Riedel B, Rifaie A, Roberts EJ, Robertson S, Rodan S, Roellinghoff G, Rongen M, Rott C, Ruhe T, Ruohan L, Ryckbosch D, Safa I, Saffer J, Salazar-Gallegos D, Sampathkumar P, Sanchez Herrera SE, Sandrock A, Santander M, Sarkar S, Sarkar S, Savelberg J, Savina P, Schaufel M, Schieler H, Schindler S, Schlickmann L, Schlüter B, Schlüter F, Schmeisser N, Schmidt T, Schneider J, Schröder FG, Schumacher L, Schwefer G, Sclafani S, Seckel D, Seikh M, Seunarine S, Shah R, Sharma A, Shefali S, Shimizu N, Silva M, Skrzypek B, Smithers B, Snihur R, Soedingrekso J, Søgaard A, Soldin D, Soldin P, Sommani G, Spannfellner C, Spiczak GM, Stamatikos M, Stanev T, Stezelberger T, Stürwald T, Stuttard T, Sullivan GW, Taboada I, Ter-Antonyan S, Thiesmeyer M, Thompson WG, Thwaites J, Tilav S, Tollefson K, Tönnis C, Toscano S, Tosi D, Trettin A, Tung CF, Turcotte R, Twagirayezu JP, Ty B, Unland Elorrieta MA, Upadhyay AK, Upshaw K, Valtonen-Mattila N, Vandenbroucke J, van Eijndhoven N, Vannerom D, van Santen J, Vara J, Veitch-Michaelis J, Venugopal M, Vereecken M, Verpoest S, Veske D, Vijai A, Walck C, Weaver C, Weigel P, Weindl A, Weldert J, Wen AY, Wendt C, Werthebach J, Weyrauch M, Whitehorn N, Wiebusch CH, Willey N, Williams DR, Witthaus L, Wolf A, Wolf M, Wrede G, Xu XW, Yanez JP, Yildizci E, Yoshida S, Young R, Yu F, Yu S, Zhang Z, Zhelnin P, Zilberman P, Zimmerman M. Observation of Seven Astrophysical Tau Neutrino Candidates with IceCube. Phys Rev Lett 2024; 132:151001. [PMID: 38682982 DOI: 10.1103/physrevlett.132.151001] [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] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 02/15/2024] [Accepted: 02/29/2024] [Indexed: 05/01/2024]
Abstract
We report on a measurement of astrophysical tau neutrinos with 9.7 yr of IceCube data. Using convolutional neural networks trained on images derived from simulated events, seven candidate ν_{τ} events were found with visible energies ranging from roughly 20 TeV to 1 PeV and a median expected parent ν_{τ} energy of about 200 TeV. Considering backgrounds from astrophysical and atmospheric neutrinos, and muons from π^{±}/K^{±} decays in atmospheric air showers, we obtain a total estimated background of about 0.5 events, dominated by non-ν_{τ} astrophysical neutrinos. Thus, we rule out the absence of astrophysical ν_{τ} at the 5σ level. The measured astrophysical ν_{τ} flux is consistent with expectations based on previously published IceCube astrophysical neutrino flux measurements and neutrino oscillations.
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Affiliation(s)
- R Abbasi
- Department of Physics, Loyola University Chicago, Chicago, Illinois 60660, USA
| | - M Ackermann
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - J Adams
- Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
| | - S K Agarwalla
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J A Aguilar
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - M Ahlers
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - J M Alameddine
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - N M Amin
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - K Andeen
- Department of Physics, Marquette University, Milwaukee, Wisconsin 53201, USA
| | - G Anton
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - C Argüelles
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Y Ashida
- Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah 84112, USA
| | - S Athanasiadou
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - S N Axani
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - X Bai
- Physics Department, South Dakota School of Mines and Technology, Rapid City, South Dakota 57701, USA
| | - V A Balagopal
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Baricevic
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S W Barwick
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - V Basu
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - R Bay
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - J J Beatty
- Department of Astronomy, Ohio State University, Columbus, Ohio 43210, USA
- Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210, USA
| | - J Becker Tjus
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - J Beise
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - C Bellenghi
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - C Benning
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - S BenZvi
- Department of Physics and Astronomy, University of Rochester, Rochester, New York 14627, USA
| | - D Berley
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - E Bernardini
- Dipartimento di Fisica e Astronomia Galileo Galilei, Università Degli Studi di Padova, 35122 Padova PD, Italy
| | - D Z Besson
- Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA
| | - E Blaufuss
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - S Blot
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - F Bontempo
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - J Y Book
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - C Boscolo Meneguolo
- Dipartimento di Fisica e Astronomia Galileo Galilei, Università Degli Studi di Padova, 35122 Padova PD, Italy
| | - S Böser
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - O Botner
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - J Böttcher
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - E Bourbeau
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - J Braun
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - B Brinson
- School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - J Brostean-Kaiser
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - R T Burley
- Department of Physics, University of Adelaide, Adelaide, 5005, Australia
| | - R S Busse
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - D Butterfield
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M A Campana
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - K Carloni
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - E G Carnie-Bronca
- Department of Physics, University of Adelaide, Adelaide, 5005, Australia
| | - S Chattopadhyay
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - N Chau
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - C Chen
- School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Z Chen
- Department of Physics and Astronomy, Stony Brook University, Stony Brook, New York 11794-3800, USA
| | - D Chirkin
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Choi
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - B A Clark
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - L Classen
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - A Coleman
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - G H Collin
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Connolly
- Department of Astronomy, Ohio State University, Columbus, Ohio 43210, USA
- Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210, USA
| | - J M Conrad
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - P Coppin
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - P Correa
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - D F Cowen
- Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - P Dave
- School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - C De Clercq
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - J J DeLaunay
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - D Delgado
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - S Deng
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - K Deoskar
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - A Desai
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - P Desiati
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K D de Vries
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - G de Wasseige
- Centre for Cosmology, Particle Physics and Phenomenology-CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - T DeYoung
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - A Diaz
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J C Díaz-Vélez
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Dittmer
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - A Domi
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - H Dujmovic
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M A DuVernois
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - T Ehrhardt
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - P Eller
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - E Ellinger
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - S El Mentawi
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - D Elsässer
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - R Engel
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
- Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany
| | - H Erpenbeck
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J Evans
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - P A Evenson
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - K L Fan
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - K Fang
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K Farrag
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - A R Fazely
- Department of Physics, Southern University, Baton Rouge, Louisiana 70813, USA
| | - N Feigl
- Institut für Physik, Humboldt-Universität zu Berlin, D-12489 Berlin, Germany
| | - S Fiedlschuster
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - A T Fienberg
- Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - C Finley
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - L Fischer
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - D Fox
- Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - A Franckowiak
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - A Fritz
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - P Fürst
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - J Gallagher
- Department of Astronomy, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - E Ganster
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - A Garcia
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Gerhardt
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A Ghadimi
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - C Glaser
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - T Glauch
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - T Glüsenkamp
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - N Goehlke
- Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany
| | - J G Gonzalez
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - S Goswami
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - D Grant
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - S J Gray
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - O Gries
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - S Griffin
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Griswold
- Department of Physics and Astronomy, University of Rochester, Rochester, New York 14627, USA
| | - K M Groth
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - C Günther
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - P Gutjahr
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - C Haack
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - A Hallgren
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - R Halliday
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - L Halve
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - F Halzen
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - H Hamdaoui
- Department of Physics and Astronomy, Stony Brook University, Stony Brook, New York 11794-3800, USA
| | - M Ha Minh
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - K Hanson
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J Hardin
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A A Harnisch
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - P Hatch
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - A Haungs
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - K Helbing
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - J Hellrung
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - F Henningsen
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - L Heuermann
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - N Heyer
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - S Hickford
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - A Hidvegi
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - C Hill
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - G C Hill
- Department of Physics, University of Adelaide, Adelaide, 5005, Australia
| | - K D Hoffman
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - S Hori
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K Hoshina
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - W Hou
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - T Huber
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - K Hultqvist
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - M Hünnefeld
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - R Hussain
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K Hymon
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - S In
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - A Ishihara
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - M Jacquart
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - O Janik
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - M Jansson
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - G S Japaridze
- CTSPS, Clark-Atlanta University, Atlanta, Georgia 30314, USA
| | - M Jeong
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - M Jin
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - B J P Jones
- Department of Physics, University of Texas at Arlington, 502 Yates St., Science Hall Rm 108, Box 19059, Arlington, Texas 76019, USA
| | - D Kang
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - W Kang
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - X Kang
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - A Kappes
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - D Kappesser
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - L Kardum
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - T Karg
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - M Karl
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - A Karle
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - U Katz
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - M Kauer
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J L Kelley
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - A Khatee Zathul
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - A Kheirandish
- Department of Physics & Astronomy, University of Nevada, Las Vegas, Nevada, 89154, USA
- Nevada Center for Astrophysics, University of Nevada, Las Vegas, Nevada 89154, USA
| | - J Kiryluk
- Department of Physics and Astronomy, Stony Brook University, Stony Brook, New York 11794-3800, USA
| | - S R Klein
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A Kochocki
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - R Koirala
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - H Kolanoski
- Institut für Physik, Humboldt-Universität zu Berlin, D-12489 Berlin, Germany
| | - T Kontrimas
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - L Köpke
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - C Kopper
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - D J Koskinen
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - P Koundal
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - M Kovacevich
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - M Kowalski
- Institut für Physik, Humboldt-Universität zu Berlin, D-12489 Berlin, Germany
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - T Kozynets
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - J Krishnamoorthi
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K Kruiswijk
- Centre for Cosmology, Particle Physics and Phenomenology-CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - E Krupczak
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - A Kumar
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - E Kun
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - N Kurahashi
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - N Lad
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - C Lagunas Gualda
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - M Lamoureux
- Centre for Cosmology, Particle Physics and Phenomenology-CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - M J Larson
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - S Latseva
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - F Lauber
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - J P Lazar
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J W Lee
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - K Leonard DeHolton
- Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - A Leszczyńska
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - M Lincetto
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - Q R Liu
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Liubarska
- Department of Physics, University of Alberta, Edmonton, Alberta, Canada T6G 2E1
| | - E Lohfink
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - C Love
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - C J Lozano Mariscal
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - F Lucarelli
- Département de physique nucléaire et corpusculaire, Université de Genève, CH-1211 Genève, Switzerland
| | - W Luszczak
- Department of Astronomy, Ohio State University, Columbus, Ohio 43210, USA
- Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210, USA
| | - Y Lyu
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J Madsen
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K B M Mahn
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - Y Makino
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - E Manao
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - S Mancina
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
- Dipartimento di Fisica e Astronomia Galileo Galilei, Università Degli Studi di Padova, 35122 Padova PD, Italy
| | - W Marie Sainte
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - I C Mariş
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - S Marka
- Columbia Astrophysics and Nevis Laboratories, Columbia University, New York, New York 10027, USA
| | - Z Marka
- Columbia Astrophysics and Nevis Laboratories, Columbia University, New York, New York 10027, USA
| | - M Marsee
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - I Martinez-Soler
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - R Maruyama
- Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - F Mayhew
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - T McElroy
- Department of Physics, University of Alberta, Edmonton, Alberta, Canada T6G 2E1
| | - F McNally
- Department of Physics, Mercer University, Macon, Georgia 31207-0001, USA
| | - J V Mead
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - K Meagher
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Mechbal
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - A Medina
- Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210, USA
| | - M Meier
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - Y Merckx
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - L Merten
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - J Micallef
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - J Mitchell
- Department of Physics, Southern University, Baton Rouge, Louisiana 70813, USA
| | - T Montaruli
- Département de physique nucléaire et corpusculaire, Université de Genève, CH-1211 Genève, Switzerland
| | - R W Moore
- Department of Physics, University of Alberta, Edmonton, Alberta, Canada T6G 2E1
| | - Y Morii
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - R Morse
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Moulai
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - T Mukherjee
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - R Naab
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - R Nagai
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - M Nakos
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - U Naumann
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - J Necker
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - A Negi
- Department of Physics, University of Texas at Arlington, 502 Yates St., Science Hall Rm 108, Box 19059, Arlington, Texas 76019, USA
| | - M Neumann
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - H Niederhausen
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - M U Nisa
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - A Noell
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - A Novikov
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - S C Nowicki
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - A Obertacke Pollmann
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - V O'Dell
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Oehler
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - B Oeyen
- Department of Physics and Astronomy, University of Gent, B-9000 Gent, Belgium
| | - A Olivas
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - R Orsoe
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - J Osborn
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - E O'Sullivan
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - H Pandya
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - D V Pankova
- Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - N Park
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - G K Parker
- Department of Physics, University of Texas at Arlington, 502 Yates St., Science Hall Rm 108, Box 19059, Arlington, Texas 76019, USA
| | - E N Paudel
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - L Paul
- Department of Physics, Marquette University, Milwaukee, Wisconsin 53201, USA
- Physics Department, South Dakota School of Mines and Technology, Rapid City, South Dakota 57701, USA
| | - C Pérez de Los Heros
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - J Peterson
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Philippen
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - A Pizzuto
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Plum
- Physics Department, South Dakota School of Mines and Technology, Rapid City, South Dakota 57701, USA
| | - A Pontén
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - Y Popovych
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - M Prado Rodriguez
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - B Pries
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - R Procter-Murphy
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - G T Przybylski
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - C Raab
- Centre for Cosmology, Particle Physics and Phenomenology-CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - J Rack-Helleis
- Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany
| | - K Rawlins
- Department of Physics and Astronomy, University of Alaska Anchorage, 3211 Providence Dr., Anchorage, Alaska 99508, USA
| | - Z Rechav
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - A Rehman
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - P Reichherzer
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - G Renzi
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - E Resconi
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - S Reusch
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - W Rhode
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - B Riedel
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - A Rifaie
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - E J Roberts
- Department of Physics, University of Adelaide, Adelaide, 5005, Australia
| | - S Robertson
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Rodan
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - G Roellinghoff
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - M Rongen
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - C Rott
- Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah 84112, USA
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - T Ruhe
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - L Ruohan
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - D Ryckbosch
- Department of Physics and Astronomy, University of Gent, B-9000 Gent, Belgium
| | - I Safa
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J Saffer
- Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany
| | - D Salazar-Gallegos
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - P Sampathkumar
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - S E Sanchez Herrera
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - A Sandrock
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - M Santander
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - S Sarkar
- Department of Physics, University of Alberta, Edmonton, Alberta, Canada T6G 2E1
| | - S Sarkar
- Department of Physics, University of Oxford, Parks Road, Oxford OX1 3PU, United Kingdom
| | - J Savelberg
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - P Savina
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Schaufel
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - H Schieler
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - S Schindler
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - L Schlickmann
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - B Schlüter
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - F Schlüter
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - N Schmeisser
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - T Schmidt
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - J Schneider
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - F G Schröder
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - L Schumacher
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - G Schwefer
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - S Sclafani
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - D Seckel
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - M Seikh
- Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA
| | - S Seunarine
- Department of Physics, University of Wisconsin, River Falls, Wisconsin 54022, USA
| | - R Shah
- Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, Pennsylvania 19104, USA
| | - A Sharma
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - S Shefali
- Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany
| | - N Shimizu
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - M Silva
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - B Skrzypek
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - B Smithers
- Department of Physics, University of Texas at Arlington, 502 Yates St., Science Hall Rm 108, Box 19059, Arlington, Texas 76019, USA
| | - R Snihur
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J Soedingrekso
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - A Søgaard
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - D Soldin
- Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany
| | - P Soldin
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - G Sommani
- Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany
| | - C Spannfellner
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - G M Spiczak
- Department of Physics, University of Wisconsin, River Falls, Wisconsin 54022, USA
| | - M Stamatikos
- Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210, USA
| | - T Stanev
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - T Stezelberger
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - T Stürwald
- Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany
| | - T Stuttard
- Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - G W Sullivan
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - I Taboada
- School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - S Ter-Antonyan
- Department of Physics, Southern University, Baton Rouge, Louisiana 70813, USA
| | - M Thiesmeyer
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - W G Thompson
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - J Thwaites
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Tilav
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - K Tollefson
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - C Tönnis
- Department of Physics, Sungkyunkwan University, Suwon 16419, Korea
| | - S Toscano
- Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium
| | - D Tosi
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - A Trettin
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - C F Tung
- School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - R Turcotte
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - J P Twagirayezu
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - B Ty
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M A Unland Elorrieta
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - A K Upadhyay
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - K Upshaw
- Department of Physics, Southern University, Baton Rouge, Louisiana 70813, USA
| | - N Valtonen-Mattila
- Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden
| | - J Vandenbroucke
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - N van Eijndhoven
- Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium
| | - D Vannerom
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J van Santen
- Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany
| | - J Vara
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, D-48149 Münster, Germany
| | - J Veitch-Michaelis
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Venugopal
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - M Vereecken
- Centre for Cosmology, Particle Physics and Phenomenology-CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - S Verpoest
- Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, USA
| | - D Veske
- Columbia Astrophysics and Nevis Laboratories, Columbia University, New York, New York 10027, USA
| | - A Vijai
- Department of Physics, University of Maryland, College Park, Maryland 20742, USA
| | - C Walck
- Oskar Klein Centre and Department of Physics, Stockholm University, SE-10691 Stockholm, Sweden
| | - C Weaver
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - P Weigel
- Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Weindl
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - J Weldert
- Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - A Y Wen
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - C Wendt
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - J Werthebach
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - M Weyrauch
- Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany
| | - N Whitehorn
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - C H Wiebusch
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - N Willey
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - D R Williams
- Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
| | - L Witthaus
- Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany
| | - A Wolf
- III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany
| | - M Wolf
- Physik-department, Technische Universität München, D-85748 Garching, Germany
| | - G Wrede
- Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany
| | - X W Xu
- Department of Physics, Southern University, Baton Rouge, Louisiana 70813, USA
| | - J P Yanez
- Department of Physics, University of Alberta, Edmonton, Alberta, Canada T6G 2E1
| | - E Yildizci
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - S Yoshida
- Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan
| | - R Young
- Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA
| | - F Yu
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - S Yu
- Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - Z Zhang
- Department of Physics and Astronomy, Stony Brook University, Stony Brook, New York 11794-3800, USA
| | - P Zhelnin
- Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - P Zilberman
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Zimmerman
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
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Deng P, Lin K, Yuan W, Gomez MA, She J, Yu S, Sun M, Liu Y, Wang J, Chen D, Liu J. Risk assessment and strontium isotopic tracing of potentially toxic metals in creek sediments around a uranium mine, China. Chemosphere 2024; 353:141597. [PMID: 38432466 DOI: 10.1016/j.chemosphere.2024.141597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 03/05/2024]
Abstract
The contamination of creek sediments near industrially nuclear dominated site presents significant environmental challenges, particularly in identifying and quantifying potentially toxic metal (loid)s (PTMs). This study aims to measure the extent of contamination and apportion related sources for nine PTMs in alpine creek sediments near a typical uranium tailing dam from China, including strontium (Sr), rubidium (Rb), manganese (Mn), lithium (Li), nickel (Ni), copper (Cu), vanadium (V), cadmium (Cd), zinc (Zn), using multivariate statistical approach and Sr isotopic compositions. The results show varying degrees of contamination in the sediments for some PTMs, i.e., Sr (16.1-39.6 mg/kg), Rb (171-675 mg/kg), Mn (224-2520 mg/kg), Li (11.6-78.8 mg/kg), Cd (0.31-1.38 mg/kg), and Zn (37.1-176 mg/kg). Multivariate statistical analyses indicate that Sr, Rb, Li, and Mn originated from the uranium tailing dam, while Cd and Zn were associated with abandoned agricultural activities, and Ni, Cu, and V were primarily linked to natural bedrock weathering. The Sr isotope fingerprint technique further suggests that 48.22-73.84% of Sr and associated PTMs in the sediments potentially derived from the uranium tailing dam. The combined use of multivariate statistical analysis and Sr isotopic fingerprint technique in alpine creek sediments enables more reliable insights into PTMs-induced pollution scenarios. The findings also offer unique perspectives for understanding and managing aqueous environments impacted by nuclear activities.
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Affiliation(s)
- Pengyuan Deng
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China
| | - Ke Lin
- Earth Observatory of Singapore and Asian School of the Environment, Nanyang Technological University, Singapore
| | - Wenhuan Yuan
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China
| | - Mario Alberto Gomez
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China
| | - Jingye She
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China
| | - Shan Yu
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China
| | - Mengqing Sun
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China
| | - Yanyi Liu
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China
| | - Jin Wang
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.
| | - Diyun Chen
- Guangdong Provincial Key Laboratory of Radionuclides Pollution Control and Resources, Guangzhou University, Guangzhou, China.
| | - Juan Liu
- Key Laboratory of Water Quality and Conservation in the PRD, Ministry of Education, Guangzhou University, Guangzhou, China.
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Song W, Ye L, Tang Q, Lu X, Huang X, Xie M, Yu S, Yuan Z, Chen L. Rev-erbα attenuates refractory periapical periodontitis via M1 polarization: An in vitro and in vivo study. Int Endod J 2024; 57:451-463. [PMID: 38279698 DOI: 10.1111/iej.14024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/04/2024] [Accepted: 01/07/2024] [Indexed: 01/28/2024]
Abstract
AIM Rev-erbα has been reported to regulate the healing of inflammatory lesions through its effect on the immune system in a variety of inflammatory disease. Moreover, the balance of macrophages polarization plays a crucial role in immune response and inflammatory progression. However, in refractory periapical periodontitis (RAP), the role of Rev-erbα in inflammatory response and bone resorption by regulating macrophage polarization remains unclarified. The aims of the present study were to investigate the expression of Rev-erbα in experimental RAP and to explore the relationship between Rev-erbα and macrophage polarization through the application of its pharmacological agonist SR9009 into the in vivo and in vitro experiments. METHODOLOGY Enterococcus faecalis-induced RAP models were established in SD rats. Histological staining and micro-computed tomography scanning were used to evaluate osteoclastogenesis and alveolar bone resorption. The expression of Rev-erbα and macrophage polarization were detected in the periapical tissues from rats by immunofluorescence, flow cytometry, and western blots. Furthermore, immunohistochemical staining and enzyme-linked immunosorbent assay were performed to explore the relationship between Rev-erbα and inflammatory cytokines related to macrophage polarization. RESULT Compared to healthy periapical tissue, the expression of Rev-erbα was significantly down-regulated in macrophages from inflammatory periapical area, especially in Enterococcus faecalis-induced periapical lesions, with obvious type-1 macrophage (M1)-like dominance and the production of pro-inflammatory cytokines. In addition, Rev-erbα activation by SR9009 could induce type-2 macrophage (M2)-like polarization in periapical tissue and THP1 cell line, followed by increased secretion of anti-inflammatory cytokines IL-10 and TGF-β. Furthermore, intracanal application of SR9009 reduced the lesion size and promoted the repair of RAP by decreasing the number of osteoclasts and enhancing the formation of mineralized tissue in periapical inflammatory lesions. CONCLUSIONS Rev-erbα played an essential role in the pathogenesis of RAP through its effect on macrophage polarization. Targeting Rev-erbα might be a promising and prospective therapy method for the prevention and management of RAP.
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Affiliation(s)
- W Song
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - L Ye
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - Q Tang
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - X Lu
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - X Huang
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - M Xie
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - S Yu
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - Z Yuan
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - L Chen
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
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Zhang X, Guan L, Li N, Wang Y, Li L, Liu M, He Q, Lu J, Zeng H, Yu S, Guo X, Gong J, Li J, Gao F, Wu X, Chen S, Wang Q, Wang Z, Huang W, Mao Q, Liang Z, Xu M. Establishment of the First National Standard for Neutralizing Antibodies against SARS-CoV-2 XBB Variants. Viruses 2024; 16:554. [PMID: 38675896 PMCID: PMC11053542 DOI: 10.3390/v16040554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 03/29/2024] [Accepted: 03/29/2024] [Indexed: 04/28/2024] Open
Abstract
Neutralizing antibodies (NtAbs) against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are indicators of vaccine efficacy that enable immunity surveillance. However, the rapid mutation of SARS-CoV-2 variants prevents the timely establishment of standards required for effective XBB vaccine evaluation. Therefore, we prepared four candidate standards (No. 11, No. 44, No. 22, and No. 33) using plasma, purified immunoglobulin, and a broad-spectrum neutralizing monoclonal antibody. Collaborative calibration was conducted across nine Chinese laboratories using neutralization methods against 11 strains containing the XBB and BA.2.86 sublineages. This study demonstrated the reduced neutralization potency of the first International Standard antibodies to SARS-CoV-2 variants of concern against XBB variants. No. 44 displayed broad-spectrum neutralizing activity against XBB sublineages, effectively reduced interlaboratory variability for nearly all XBB variants, and effectively minimized the geometric mean titer (GMT) difference between the live and pseudotyped virus. No. 22 showed a broader spectrum and higher neutralizing activity against all strains but failed to reduce interlaboratory variability. Thus, No. 44 was approved as a National Standard for NtAbs against XBB variants, providing a unified NtAb measurement standard for XBB variants for the first time. Moreover, No. 22 was approved as a national reference reagent for NtAbs against SARS-CoV-2, offering a broad-spectrum activity reference for current and potentially emerging variants.
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Affiliation(s)
- Xuanxuan Zhang
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
| | - Lidong Guan
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
| | - Na Li
- Beijing Minhai Biotechnology Co., Ltd., Beijing 102600, China;
| | - Ying Wang
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
| | - Lu Li
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
| | - Mingchen Liu
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
| | - Qian He
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
| | - Jiansheng Lu
- Yunnan Institute for Food and Drug Control, Kunming 650106, China; (J.L.); (H.Z.)
| | - Haiyuan Zeng
- Yunnan Institute for Food and Drug Control, Kunming 650106, China; (J.L.); (H.Z.)
| | - Shan Yu
- Jiangsu Institute for Food and Drug Control, Nanjing 210019, China;
| | - Xinyi Guo
- Hualan Biological Engineering Chongqing Co., Ltd., Chongqing 408107, China;
| | - Jiali Gong
- China Resources Boya Bio-Pharmaceutical Group Co., Ltd., Fuzhou 344000, China;
| | - Jing Li
- Beijing Kexing Zhongwei Biotechnology Co., Ltd., Beijing 102600, China;
| | - Fan Gao
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
| | - Xing Wu
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
| | - Si Chen
- Drug and Vaccine Research Center, Guangzhou National Laboratory, Guangzhou 510535, China; (S.C.); (Q.W.); (Z.W.)
| | - Qian Wang
- Drug and Vaccine Research Center, Guangzhou National Laboratory, Guangzhou 510535, China; (S.C.); (Q.W.); (Z.W.)
| | - Zhongfang Wang
- Drug and Vaccine Research Center, Guangzhou National Laboratory, Guangzhou 510535, China; (S.C.); (Q.W.); (Z.W.)
| | - Weijin Huang
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
| | - Qunying Mao
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
| | - Zhenglun Liang
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
| | - Miao Xu
- Institute of Biological Products, National Institutes for Food and Drug Control, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products, State Key Laboratory of Drug Regulatory Science, Beijing 102629, China; (X.Z.); (L.G.); (Y.W.); (L.L.); (M.L.); (Q.H.); (F.G.); (X.W.); (W.H.)
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Xu M, Li X, Teng T, Huang Y, Liu M, Long Y, Lv F, Zhi D, Li X, Feng A, Yu S, Calhoun V, Zhou X, Sui J. Reconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression. JAMA Netw Open 2024; 7:e241933. [PMID: 38470418 PMCID: PMC10933730 DOI: 10.1001/jamanetworkopen.2024.1933] [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] [Indexed: 03/13/2024] Open
Abstract
Importance Adolescent major depressive disorder (MDD) is associated with serious adverse implications for brain development and higher rates of self-injury and suicide, raising concerns about its neurobiological mechanisms in clinical neuroscience. However, most previous studies regarding the brain alterations in adolescent MDD focused on single-modal images or analyzed images of different modalities separately, ignoring the potential role of aberrant interactions between brain structure and function in the psychopathology. Objective To examine alterations of structural and functional connectivity (SC-FC) coupling in adolescent MDD by integrating both diffusion magnetic resonance imaging (MRI) and resting-state functional MRI data. Design, Setting, and Participants This cross-sectional study recruited participants aged 10 to 18 years from January 2, 2020, to December 28, 2021. Patients with first-episode MDD were recruited from the outpatient psychiatry clinics at The First Affiliated Hospital of Chongqing Medical University. Healthy controls were recruited by local media advertisement from the general population in Chongqing, China. The sample was divided into 5 subgroup pairs according to different environmental stressors and clinical characteristics. Data were analyzed from January 10, 2022, to February 20, 2023. Main Outcomes and Measures The SC-FC coupling was calculated for each brain region of each participant using whole-brain SC and FC. Primary analyses included the group differences in SC-FC coupling and clinical symptom associations between SC-FC coupling and participants with adolescent MDD and healthy controls. Secondary analyses included differences among 5 types of MDD subgroups: with or without suicide attempt, with or without nonsuicidal self-injury behavior, with or without major life events, with or without childhood trauma, and with or without school bullying. Results Final analyses examined SC-FC coupling of 168 participants with adolescent MDD (mean [mean absolute deviation (MAD)] age, 16.0 [1.7] years; 124 females [73.8%]) and 101 healthy controls (mean [MAD] age, 15.1 [2.4] years; 61 females [60.4%]). Adolescent MDD showed increased SC-FC coupling in the visual network, default mode network, and insula (Cohen d ranged from 0.365 to 0.581; false discovery rate [FDR]-corrected P < .05). Some subgroup-specific alterations were identified via subgroup analyses, particularly involving parahippocampal coupling decrease in participants with suicide attempt (partial η2 = 0.069; 90% CI, 0.025-0.121; FDR-corrected P = .007) and frontal-limbic coupling increase in participants with major life events (partial η2 ranged from 0.046 to 0.068; FDR-corrected P < .05). Conclusions and Relevance Results of this cross-sectional study suggest increased SC-FC coupling in adolescent MDD, especially involving hub regions of the default mode network, visual network, and insula. The findings enrich knowledge of the aberrant brain SC-FC coupling in the psychopathology of adolescent MDD, underscoring the vulnerability of frontal-limbic SC-FC coupling to external stressors and the parahippocampal coupling in shaping future-minded behavior.
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Affiliation(s)
- Ming Xu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Xuemei Li
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Teng Teng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Huang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mengqi Liu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yicheng Long
- Department of Psychiatry and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Hunan, China
| | - Fajin Lv
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dongmei Zhi
- International Data Group (IDG)/McGovern Institute for Brain Research, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Xiang Li
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Aichen Feng
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Shan Yu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Emory University and Georgia State University, Atlanta, Georgia
| | - Xinyu Zhou
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jing Sui
- International Data Group (IDG)/McGovern Institute for Brain Research, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
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14
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Cui Y, Huang H, Liu J, Zhao M, Li C, Han X, Luo N, Gao J, Yan DM, Zhang C, Jiang T, Yu S. FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA. Comput Biol Med 2024; 170:107996. [PMID: 38266465 DOI: 10.1016/j.compbiomed.2024.107996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/14/2023] [Accepted: 01/13/2024] [Indexed: 01/26/2024]
Abstract
PURPOSE Cerebrovascular segmentation and quantification of vascular morphological features in humans and rhesus monkeys are essential for prevention, diagnosis, and treatment of brain diseases. However, current automated whole-brain vessel segmentation methods are often not generalizable to independent datasets, limiting their usefulness in real-world environments with their heterogeneity in participants, scanners, and species. MATERIALS AND METHODS In this study, we proposed an automated, accurate and generalizable segmentation method for magnetic resonance angiography images called FFCM-MRF. This method integrated fast fuzzy c-means clustering and Markov random field optimization by vessel shape priors and spatial constraints. We used a total of 123 human and 44 macaque MRA images scanned at 1.5 T, 3 T, and 7 T MRI from 9 datasets to develop and validate the method. RESULTS FFCM-MRF achieved average Dice similarity coefficients ranging from 69.16 % to 89.63 % across multiple independent datasets, with improvements ranging from 3.24 % to 7.3 % compared to state-of-the-art methods. Quantitative analysis showed that FFCM-MRF can accurately segment major arteries in the Circle of Willis at the base of the brain and small distal pial arteries while effectively reducing noise. Test-retest analysis showed that the model yielded high vascular volume and diameter reliability. CONCLUSIONS Our results have demonstrated that FFCM-MRF is highly accurate and reliable and largely independent of variations in field strength, scanner platforms, acquisition parameters, and species. The macaque MRA data and user-friendly open-source toolbox are freely available at OpenNeuro and GitHub to facilitate studies of imaging biomarkers for cerebrovascular and neurodegenerative diseases.
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Affiliation(s)
- Yue Cui
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
| | - Haibin Huang
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Jialu Liu
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Mingyang Zhao
- Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong, China
| | - Chengyi Li
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Xinyong Han
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Na Luo
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Jinquan Gao
- Model R&D Center, Beijing Life Biosciences Company Limited, Beijing, China; Technology Management Center, SAFE Pharmaceutical Technology Company Limited, Beijing, China
| | - Dong-Ming Yan
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Chen Zhang
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Tianzi Jiang
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China; Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China; Research Center for Augmented Intelligence, Zhejiang Lab, Hangzhou, China
| | - Shan Yu
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
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15
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Zheng Y, Yang D, Gao B, Huang S, Tang Y, Wa Q, Dong Y, Yu S, Huang J, Huang S. A DNA-inspired injectable adhesive hydrogel with dual nitric oxide donors to promote angiogenesis for enhanced wound healing. Acta Biomater 2024; 176:128-143. [PMID: 38278340 DOI: 10.1016/j.actbio.2024.01.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 01/28/2024]
Abstract
Chronic diabetic wounds are a severe complication of diabetes, often leading to high treatment costs and high amputation rates. Numerous studies have revealed that nitric oxide (NO) therapy is a promising option because it favours wound revascularization. Here, base-paired injectable adhesive hydrogels (CAT) were prepared using adenine- and thymine-modified chitosan (CSA and CST). By further introducing S-nitrosoglutathione (GSNO) and binary l-arginine (bArg), we obtained a NO sustained-release hydrogel (CAT/bArg/GSON) that was more suitable for the treatment of chronic wounds. The results showed that the expression of HIF-1α and VEGF was upregulated in the CAT/bArg/GSON group, and improved blood vessel regeneration was observed, indicating an important role of NO. In addition, the research findings revealed that following treatment with the CAT/bArg/GSON hydrogel, the viability of Staphylococcus aureus and Escherichia coli decreased to 14 ± 2 % and 6 ± 1 %, respectively. Moreover, the wound microenvironment was improved, as evidenced by a 60 ± 1 % clearance of DPPH. In particular, histological examination and immunohistochemical staining results showed that wounds treated with CAT/bArg/GSNO exhibited denser neovascularization, faster epithelial tissue regeneration, and thicker collagen deposition. Overall, this study proposes an effective strategy to prepare injectable hydrogel dressings with dual NO donors. The functionality of CAT/bArg/GSON has been thoroughly demonstrated in research on chronic wound vascular regeneration, indicating that CAT/bArg/GSON could be a potential option for promoting chronic wound healing. STATEMENT OF SIGNIFICANCE: This article prepares a chitosan hydrogel utilizing the principle of complementary base pairing, which offers several advantages, including good adhesion, biocompatibility, and flow properties, making it a good material for wound dressings. Loaded GSNO and bArg can steadily release NO and l-arginine through the degradation of the gel. Then, the released l-arginine not only possesses antioxidant properties but can also continue to generate a small amount of NO under the action of NOS. This design achieves a sustained and stable supply of NO at the wound site, maximizing the angiogenesis-promoting and antibacterial effects of NO. More neovascularization and abundant collagen were observed in the regenerated tissues. This study provides an effective repair hydrogel material for diabetic wound.
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Affiliation(s)
- Yongsheng Zheng
- Department of Orthopedics, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
| | - Dong Yang
- Department of Orthopedics, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
| | - Botao Gao
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510632, China
| | - Shuai Huang
- Department of Orthopedics, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou 510260, China
| | - Yubo Tang
- Department of Pharmacy, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Qingde Wa
- Department of Orthopedics, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China
| | - Yong Dong
- Department of Oncology, The First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan, 523106, China
| | - Shan Yu
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510632, China
| | - Jun Huang
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510632, China.
| | - Sheng Huang
- Department of Orthopedics, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, China.
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16
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Gao J, Lu Y, Qi X, Kou Y, Li B, Li L, Yu S, Hu W. Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking. IEEE Trans Pattern Anal Mach Intell 2024; 46:1881-1897. [PMID: 35254973 DOI: 10.1109/tpami.2022.3156977] [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: 06/14/2023]
Abstract
Tracking visual objects from a single initial exemplar in the testing phase has been broadly cast as a one-/few-shot problem, i.e., one-shot learning for initial adaptation and few-shot learning for online adaptation. The recent few-shot online adaptation methods incorporate the prior knowledge from large amounts of annotated training data via complex meta-learning optimization in the offline phase. This helps the online deep trackers to achieve fast adaptation and reduce overfitting risk in tracking. In this paper, we propose a simple yet effective recursive least-squares estimator-aided online learning approach for few-shot online adaptation without requiring offline training. It allows an in-built memory retention mechanism for the model to remember the knowledge about the object seen before, and thus the seen data can be safely removed from training. This also bears certain similarities to the emerging continual learning field in preventing catastrophic forgetting. This mechanism enables us to unveil the power of modern online deep trackers without incurring too much extra computational cost. We evaluate our approach based on two networks in the online learning families for tracking, i.e., multi-layer perceptrons in RT-MDNet and convolutional neural networks in DiMP. The consistent improvements on several challenging tracking benchmarks demonstrate its effectiveness and efficiency.
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17
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Watkins R, Gamo A, Choi SH, Kumar M, Buckarma E, McCabe C, Tomlinson J, Pereya D, Lupse B, Geravandi S, Werneburg NW, Wang C, Starlinger P, Zhu S, Li S, Yu S, Surakattula M, Baguley T, Ardestani A, Maedler K, Roland J, Nguyen-Tran V, Joseph S, Petrassi M, Rogers N, Gores G, Chatterjee A, Tremblay M, Shen W, Smoot R. A small molecule MST1/2 inhibitor accelerates murine liver regeneration with improved survival in models of steatohepatitis. PNAS Nexus 2024; 3:pgae096. [PMID: 38528952 PMCID: PMC10962727 DOI: 10.1093/pnasnexus/pgae096] [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] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 02/20/2024] [Indexed: 03/27/2024]
Abstract
Dysfunctional liver regeneration following surgical resection remains a major cause of postoperative mortality and has no therapeutic options. Without targeted therapies, the current treatment paradigm relies on supportive therapy until homeostasis can be achieved. Pharmacologic acceleration of regeneration represents an alternative therapeutic avenue. Therefore, we aimed to generate a small molecule inhibitor that could accelerate liver regeneration with an emphasis on diseased models, which represent a significant portion of patients who require surgical resection and are often not studied. Utilizing a clinically approved small molecule inhibitor as a parent compound, standard medicinal chemistry approaches were utilized to generate a small molecule inhibitor targeting serine/threonine kinase 4/3 (MST1/2) with reduced off-target effects. This compound, mCLC846, was then applied to preclinical models of murine partial hepatectomy, which included models of diet-induced metabolic dysfunction-associated steatohepatitis (MASH). mCLC846 demonstrated on target inhibition of MST1/2 and reduced epidermal growth factor receptor inhibition. The inhibitory effects resulted in restored pancreatic beta-cell function and survival under diabetogenic conditions. Liver-specific cell-line exposure resulted in Yes-associated protein activation. Oral delivery of mCLC846 perioperatively resulted in accelerated murine liver regeneration and improved survival in diet-induced MASH models. Bulk transcriptional analysis of regenerating liver remnants suggested that mCLC846 enhanced the normal regenerative pathways and induced them following liver resection. Overall, pharmacological acceleration of liver regeneration with mCLC846 was feasible, had an acceptable therapeutic index, and provided a survival benefit in models of diet-induced MASH.
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Affiliation(s)
- Ryan Watkins
- Department of Surgery, Mayo Clinic, Rochester, MN 55905, USA
| | - Ana Gamo
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Seung Hyuk Choi
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Manoj Kumar
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - EeeLN Buckarma
- Department of Surgery, Mayo Clinic, Rochester, MN 55905, USA
| | - Chantal McCabe
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
| | | | - David Pereya
- Department of Surgery, Medical University of Vienna, General Hospital, Vienna 1090, Austria
| | - Blaz Lupse
- Centre for Biomolecular Interactions Bremen, University of Bremen, 28359 Bremen, Germany
| | - Shirin Geravandi
- Centre for Biomolecular Interactions Bremen, University of Bremen, 28359 Bremen, Germany
| | - Nathan W Werneburg
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, USA
| | - Chen Wang
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
| | - Patrick Starlinger
- Department of Surgery, Mayo Clinic, Rochester, MN 55905, USA
- Center of Physiology and Pharmacology, Medical University of Vienna, Vienna 1090, Austria
| | - Siying Zhu
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Sijia Li
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Shan Yu
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Murali Surakattula
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Tyler Baguley
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Amin Ardestani
- Centre for Biomolecular Interactions Bremen, University of Bremen, 28359 Bremen, Germany
- Biomedical Institute for Multimorbidity (BIM), Centre for Biomedicine, Hull York Medical School, University of Hull, Hull YO10 5DD, UK
| | - Kathrin Maedler
- Centre for Biomolecular Interactions Bremen, University of Bremen, 28359 Bremen, Germany
| | - Jason Roland
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Van Nguyen-Tran
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Sean Joseph
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Mike Petrassi
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Nikki Rogers
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Gregory Gores
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, USA
| | - Arnab Chatterjee
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Matthew Tremblay
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Weijun Shen
- Calibr at Scripps Research, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Rory Smoot
- Department of Surgery, Mayo Clinic, Rochester, MN 55905, USA
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
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Ribeiro TL, Jendrichovsky P, Yu S, Martin DA, Kanold PO, Chialvo DR, Plenz D. Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics. Cell Rep 2024; 43:113762. [PMID: 38341856 PMCID: PMC10956720 DOI: 10.1016/j.celrep.2024.113762] [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: 04/14/2022] [Revised: 01/05/2024] [Accepted: 01/25/2024] [Indexed: 02/13/2024] Open
Abstract
In the mammalian cortex, even simple sensory inputs or movements activate many neurons, with each neuron responding variably to repeated stimuli-a phenomenon known as trial-by-trial variability. Understanding the spatial patterns and dynamics of this variability is challenging. Using cellular 2-photon imaging, we study visual and auditory responses in the primary cortices of awake mice. We focus on how individual neurons' responses differed from the overall population. We find consistent spatial correlations in these differences that are unique to each trial and linearly scale with the cortical area observed, a characteristic of critical dynamics as confirmed in our neuronal simulations. Using chronic multi-electrode recordings, we observe similar scaling in the prefrontal and premotor cortex of non-human primates during self-initiated and visually cued motor tasks. These results suggest that trial-by-trial variability, rather than being random noise, reflects a critical, fluctuation-dominated state in the cortex, supporting the brain's efficiency in processing information.
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Affiliation(s)
- Tiago L Ribeiro
- Section on Critical Brain Dynamics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
| | - Peter Jendrichovsky
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Shan Yu
- Section on Critical Brain Dynamics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing 100190, China
| | - Daniel A Martin
- Center for Complex Systems & Brain Sciences (CEMSC3), Instituto de Ciencias Físicas, (ICIFI) Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín (UNSAM), San Martín 1650 Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 Buenos Aires, Argentina
| | - Patrick O Kanold
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Dante R Chialvo
- Center for Complex Systems & Brain Sciences (CEMSC3), Instituto de Ciencias Físicas, (ICIFI) Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín (UNSAM), San Martín 1650 Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 Buenos Aires, Argentina
| | - Dietmar Plenz
- Section on Critical Brain Dynamics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
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Yu S, Wen Y, Lin J, Yang J, He Y, Zuo Y. Combined rectus sheath block with transverse abdominis plane block by one puncture for analgesia after laparoscopic upper abdominal surgery: a randomized controlled prospective study. BMC Anesthesiol 2024; 24:58. [PMID: 38336613 PMCID: PMC10854179 DOI: 10.1186/s12871-024-02444-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 02/03/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Rectus sheath block (RSB) and transversus abdominis plane block (TAPB) have been shown to reduce opioid consumption and decrease postoperative pain scores in abdominal surgeries. However, there are no reports about the one-puncture technique of RSB combined with TAPB for perioperative pain management during laparoscopic upper abdominal surgery. METHODS A total of 58 patients were randomly assigned to the control group (C), the TAP group (T), and the one-puncture technique of RSB combined with TAPB group (RT). The patients in group C did not receive any regional block. The patients in group T received ultrasound-guided subcostal TAPB with 30 mL of 0.33% ropivacaine on each side. The patients in the RT group received a combination of RSB and TAPB with 15 mL of 0.33% ropivacaine in each plane by one puncture technique. All patients received postoperative patient-controlled intravenous analgesia (PCIA) after surgeries. The range of blocks was recorded 20 min after the completion of the regional block. The postoperative opioid consumption, pain scores, and recovery data were recorded, including the incidence of emergence agitation (EA), the times of first exhaust and off-bed activity, the incidence of postoperative nausea and vomiting, dizziness. RESULTS The range of the one-puncture technique in group RT covered all areas of surgical incisions. The visual analogue scale (VAS) score of the RT group is significantly lower at rest and during coughing compared to groups T and C at 4, 8, 12, and 24 h after surgery, respectively (P < 0.05). The consumption of sufentanil and the number of postoperative compressions of the analgesic pumps at 24 and 48 h in the RT group are significantly lower than those in groups T and C (P < 0.05). The incidence of EA in the RT group is significantly lower than that in groups T and C (P < 0.05). CONCLUSION The one-puncture technique of RSB combined with TAPB provides effective postoperative analgesia for laparoscopic upper abdominal surgery, reduces the incidence of EA during PACU, and promotes early recovery. TRIAL REGISTRATION ChiCTR, ChiCTR2300067271. Registered 3 Jan 2023, http://www.chictr.org.cn .
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Affiliation(s)
- Shan Yu
- Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, China
- Department of Anesthesiology, Armed Police Forces Hospital of Sichuan, Leshan, 614000, China
| | - Yaling Wen
- Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, China
| | - Jing Lin
- Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, China
| | - Jinghao Yang
- Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, China
| | - Yihang He
- Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, China
| | - Youbo Zuo
- Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, China.
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20
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Wang Y, Hu D, Liu Y, Yang L, Huang J, Zhou J, Guo L, Fan X, Huang X, Peng M, Cheng C, Zhang W, Feng R, Tian X, Yu S, Xu KF. Sporadic lymphangioleiomyomatosis in a man with somatic mosaicism of TSC2 mutations, a case report. QJM 2024; 117:75-76. [PMID: 37843443 PMCID: PMC10849871 DOI: 10.1093/qjmed/hcad235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Indexed: 10/17/2023] Open
Affiliation(s)
- Y Wang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - D Hu
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Liu
- McKusick-Zhang Center for Genetic Medicine, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China
| | - L Yang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Huang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Zhou
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - L Guo
- Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Center, Beijing, China
| | - X Fan
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - X Huang
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - M Peng
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - C Cheng
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - W Zhang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - R Feng
- Department of Pathology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Tian
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - S Yu
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - K -F Xu
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Ji X, Jiang W, Zhang X, Song M, Yu S, Jiang T. The Neural Mechanism of Knowledge Assembly in the Human Brain Inspires Artificial Intelligence Algorithm. Neurosci Bull 2024; 40:280-282. [PMID: 37924470 PMCID: PMC10838847 DOI: 10.1007/s12264-023-01144-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 10/15/2023] [Indexed: 11/06/2023] Open
Affiliation(s)
- Xiang Ji
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- Brainnetome Center, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China
| | - Wentao Jiang
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- Brainnetome Center, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China
| | - Xiaoru Zhang
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- Brainnetome Center, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China
| | - Ming Song
- University of the Chinese Academy of Sciences, Beijing, 100049, China.
- Brainnetome Center, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China.
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China.
| | - Shan Yu
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- Brainnetome Center, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, The Chinese Academy of Sciences, Beijing, 100190, China
| | - Tianzi Jiang
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- Brainnetome Center, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, The Chinese Academy of Sciences, Beijing, 100190, China
- Research Center for Augmented Intelligence, Zhejiang Lab, Hangzhou, 311100, China
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22
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Rao PS, Reed K, Modi N, Handler D, de Guex KP, Yu S, Kagan L, Reiss R, Narayanan N, Peloquin CA, Lardizabal A, Vinnard C, Thomas TA, Xie YL, Heysell SK. Isoniazid urine spectrophotometry for prediction of serum pharmacokinetics in adults with TB. IJTLD Open 2024; 1:90-95. [PMID: 38655375 PMCID: PMC11037464 DOI: 10.5588/ijtldopen.23.0361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
BACKGROUND Isoniazid (INH) is an important drug in many TB regimens, and unfavorable treatment outcomes can be caused by suboptimal pharmacokinetics. Dose adjustment can be personalized by measuring peak serum concentrations; however, the process involves cold-chain preservation and laboratory techniques such as liquid chromatography (LC)/mass spectrometry (MS), which are unavailable in many high-burden settings. Urine spectrophotometry could provide a low-cost alternative with simple sampling and quantification methods. METHODS We enrolled 56 adult patients on treatment for active TB. Serum was collected at 0, 1, 2, 4, 6, and 8 h for measurement of INH concentrations using validated LC-MS/MS methods. Urine was collected at 0-4, 4-8, and 8-24 h intervals, with INH concentrations measured using colorimetric methods. RESULTS The median peak serum concentration and total serum exposure over 24 h were 4.8 mg/L and 16.4 mg*hour/L, respectively. Area under the receiver operator characteristic curves for urine values predicting a subtherapeutic serum concentration (peak <3.0 mg/L) were as follows: 0-4 h interval (AUC 0.85, 95% CI 0.7-0.96), 0-8 h interval (AUC 0.85, 95% CI 0.71-0.96), and 0-24 h urine collection interval (AUC 0.84, 95% CI 0.68-0.96). CONCLUSION Urine spectrophotometry may improve feasibility of personalized dosing in high TB burden regions but requires further study of target attainment following dose adjustment based on a urine threshold.
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Affiliation(s)
- P S Rao
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA
| | - K Reed
- School of Arts and Sciences, University of Virginia, Charlottesville, VA
| | - N Modi
- Public Health Research Institute and Global Tuberculosis Institute, Rutgers New Jersey Medical School, Newark, NJ
| | - D Handler
- Public Health Research Institute and Global Tuberculosis Institute, Rutgers New Jersey Medical School, Newark, NJ
| | - K Petros de Guex
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA
| | - S Yu
- Department of Pharmaceutics and Center of Excellence for Pharmaceutical Translational Research and Education, Ernest Mario School of Pharmacy, Rutgers State University of New Jersey, Newark, NJ
| | - L Kagan
- Department of Pharmaceutics and Center of Excellence for Pharmaceutical Translational Research and Education, Ernest Mario School of Pharmacy, Rutgers State University of New Jersey, Newark, NJ
| | - R Reiss
- Public Health Research Institute and Global Tuberculosis Institute, Rutgers New Jersey Medical School, Newark, NJ
| | - N Narayanan
- Department of Pharmaceutics and Center of Excellence for Pharmaceutical Translational Research and Education, Ernest Mario School of Pharmacy, Rutgers State University of New Jersey, Newark, NJ
| | - C A Peloquin
- College of Pharmacy and Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
| | - A Lardizabal
- Public Health Research Institute and Global Tuberculosis Institute, Rutgers New Jersey Medical School, Newark, NJ
| | - C Vinnard
- Public Health Research Institute and Global Tuberculosis Institute, Rutgers New Jersey Medical School, Newark, NJ
| | - T A Thomas
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA
| | - Y L Xie
- Public Health Research Institute and Global Tuberculosis Institute, Rutgers New Jersey Medical School, Newark, NJ
| | - S K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA
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Huang J, Lu D, Wu C, Pei D, Guo C, Guo H, Yu S, Gao B. Guanidinylated bioactive chitosan-based injectable hydrogels with pro-angiogenic and mechanical properties for accelerated wound closure. Int J Biol Macromol 2024; 258:128943. [PMID: 38143070 DOI: 10.1016/j.ijbiomac.2023.128943] [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: 07/07/2023] [Revised: 12/06/2023] [Accepted: 12/19/2023] [Indexed: 12/26/2023]
Abstract
Wound healing is a complex process involving the concerted action of many genes and signaling pathways, with angiogenesis being crucial for expediting wound closure. Dressings that possess pro-angiogenic properties are increasingly recognized as attractive candidates for wound care. Drawing inspiration from the active closure of wounds in embryos, we have developed a thermo-responsive hydrogel with mechanoactive properties, combining vascular regeneration and skin wound contraction to accelerate healing. The significant improvement in vascular reconstruction is attributed to the synergistic effect of arginine and deferoxamine (DFO) released from the hydrogels. Additionally, the contraction force of the hydrogel actively promotes skin closure in wounds. Remarkably, groups treated with hydroxybutyl chitosan methacrylate combined with arginine (HBC_m_Arg/DFO) exhibited increased vascularization, and greater wound maturity, leading to enhanced healing. These results highlight the synergistic impact of pro-angiogenic and mechanical properties of the HBC_m_Arg/DFO hydrogel in accelerating wound healing in rats.
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Affiliation(s)
- Jun Huang
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510632, PR China
| | - Daohuan Lu
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510632, PR China
| | - Caixia Wu
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510632, PR China
| | - Dating Pei
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510632, PR China
| | - Cuiping Guo
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510632, PR China
| | - Huilong Guo
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510632, PR China
| | - Shan Yu
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510632, PR China
| | - Botao Gao
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510632, PR China; National Engineering Research Center for Healthcare Devices, Guangzhou 510632, PR China; Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangzhou 510632, PR China.
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24
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Zhong W, Li D, Li L, Yu S, Pang J, Zhi Z, Wu C. pH-responsive Pickering emulsion containing citrus essential oil stabilized by zwitterionically charged chitin nanofibers: Physicochemical properties and antimicrobial activity. Food Chem 2024; 433:137388. [PMID: 37688825 DOI: 10.1016/j.foodchem.2023.137388] [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: 04/23/2023] [Revised: 08/18/2023] [Accepted: 08/31/2023] [Indexed: 09/11/2023]
Abstract
In this study, zwitterionic chitin nanofibers (Z-ChNFs) were used to prepare Pickering emulsions containing citrus essential oils (CEO) and their physicochemical properties and antimicrobial activity were investigated. Results show that as-prepared Pickering emulsions exert pH-reversible properties, pH can adjust the charge of Z-ChNFs to influence the stability of the emulsion. As the concentration of Z-ChNFs increase, the droplet size of the emulsion decreases. The high concentration of Z-ChNFs (1.5 wt%) can enhance the viscosity and promote forming nano-network structures within continuous phases, and their amphiphilic nature can strengthen the capacity for adsorption on the oil/water interface, resulting in enhanced physical stability of the encapsulated CEO emulsion. Additionally, Z-ChNFs have positive effects on the improvement of antimicrobial activity of CEO. This study provides valuable implications for the development and application of essential oils as biopreservation in the food field.
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Affiliation(s)
- Weiquan Zhong
- College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Danjie Li
- College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Liang Li
- College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Shan Yu
- College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Jie Pang
- College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China.
| | - Zijian Zhi
- Food Structure and Function (FSF) Research Group, Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium.
| | - Chunhua Wu
- College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China.
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25
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He S, Yu S, Ai L, Dai J, Chung CKL. The built environment, purpose-specific walking behaviour and overweight: evidence from Wuhan metropolis in central China. Int J Health Geogr 2024; 23:2. [PMID: 38273303 PMCID: PMC10809537 DOI: 10.1186/s12942-024-00361-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 01/09/2024] [Indexed: 01/27/2024] Open
Abstract
The impact of objective and subjective environmental factors on health outcomes has been a topic of significant debate, with a growing body of research acknowledging the role of a physically active lifestyle in promoting health. However, consensus regarding their precise influence remains elusive. This study contributes to these discussions by exploring how individual health outcomes correlate with transport and leisure walking behaviours, set against both the objective and subjective aspects of environmental influences in the context of Wuhan, an inland Chinese megacity. Street view images, multi-source geospatial data and a questionnaire survey were employed to characterise the "5D + Greenery" objective and perceived characteristics of the neighbourhood environment. Multi-group structural equation modelling was utilised to unravel the complex relationship and gender heterogeneity among environmental factors, purpose-specific walking, and overweight. Our results suggest that both objective land use diversity and perceived convenience are significantly associated with overweight. The accessibility of local service facilities and visible greenery promote both transport and leisure walking. While perceived neighbourhood safety encourages transport walking, perceived walkability is positively correlated with leisure walking. Notably, leisure walking, usually considered beneficial, presents a positive association with overweight conditions, acting as a mediation. Gender disparities exist in pathways between the environment and purpose-specific walking, as well as weight. The findings lend support to the planning of an activity-supporting built environment as a crucial strategy for obesity prevention.
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Affiliation(s)
- Sanwei He
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, 430073, China.
| | - Shan Yu
- Department of Land Economy, University of Cambridge, Cambridge, UK
| | - Lina Ai
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, 430073, China
| | - Jingya Dai
- Department of Community, Culture and Global Studies, University of British Columbia Okanagan, Kelowna, Canada
| | - Calvin King Lam Chung
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
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26
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Li J, Cao D, Yu S, Wang H, Imbach L, Stieglitz L, Sarnthein J, Jiang T. Theta-Alpha Connectivity in the Hippocampal-Entorhinal Circuit Predicts Working Memory Load. J Neurosci 2024; 44:e0398232023. [PMID: 38050110 PMCID: PMC10860618 DOI: 10.1523/jneurosci.0398-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 11/09/2023] [Accepted: 11/10/2023] [Indexed: 12/06/2023] Open
Abstract
Working memory (WM) maintenance relies on multiple brain regions and inter-regional communications. The hippocampus and entorhinal cortex (EC) are thought to support this operation. Besides, EC is the main gateway for information between the hippocampus and neocortex. However, the circuit-level mechanism of this interaction during WM maintenance remains unclear in humans. To address these questions, we recorded the intracranial electroencephalography from the hippocampus and EC while patients (N = 13, six females) performed WM tasks. We found that WM maintenance was accompanied by enhanced theta/alpha band (2-12 Hz) phase synchronization between the hippocampus to the EC. The Granger causality and phase slope index analyses consistently showed that WM maintenance was associated with theta/alpha band-coordinated unidirectional influence from the hippocampus to the EC. Besides, this unidirectional inter-regional communication increased with WM load and predicted WM load during memory maintenance. These findings demonstrate that WM maintenance in humans engages the hippocampal-entorhinal circuit, with the hippocampus influencing the EC in a load-dependent manner.
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Affiliation(s)
- Jin Li
- School of Psychology, Capital Normal University, Beijing, 100048, China
| | - Dan Cao
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Shan Yu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haiyan Wang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Lukas Imbach
- Swiss Epilepsy Center, Klinik Lengg, Zurich, Switzerland
- Zurich Neuroscience Center, ETH and University of Zurich, Zurich 8057, Switzerland
| | - Lennart Stieglitz
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
| | - Johannes Sarnthein
- Zurich Neuroscience Center, ETH and University of Zurich, Zurich 8057, Switzerland
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
- Research Center for Augmented Intelligence, Zhejiang Lab, Hangzhou 311100, China
- Xiaoxiang Institute for Brain Health and Yongzhou Central Hospital, Yongzhou 425000, Hunan Province, China
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Zhong S, Yu S, Liu Y, Gao R, Pan D, Chen G, Li X, Liu T, Liu C, Li F. Impact of Flooding-Drainage Alternation on Fe Uptake and Transport in Rice: Novel Insights from Iron Isotopes. J Agric Food Chem 2024; 72:1500-1508. [PMID: 38165827 DOI: 10.1021/acs.jafc.3c07640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
Iron (Fe) isotopes were utilized to provide insights into the temporal changes underlying Fe uptake and translocation during rice growth (tillering, jointing, flowering, and maturity stages) in soil-rice systems under typical flooding-drainage alternation. Fe isotopic composition (δ56Fe values) of the soil solution generally decreased at vegetative stages in flooding regimes but increased during grain-filling. Fe plaques were the prevalent source of Fe uptake, as indicated by the concurrent increase in the δ56Fe values of Fe plaques and rice plants during rice growth. The increasing fractionation magnitude from stem/nodes I to flag leaves can be attributed to the preferred phloem transport of light isotopes toward grains, particularly during grain-filling. This study demonstrates that rice plants take up heavy Fe isotopes from Fe plaque and soil solution via strategy II during flooding and the subsequent drainage period, respectively, thereby providing valuable insights into improving the nutritional quality during rice production.
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Affiliation(s)
- Songxiong Zhong
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
| | - Shan Yu
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
| | - Yuhui Liu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
| | - Ruichuan Gao
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
| | - Dandan Pan
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
| | - Guojun Chen
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
| | - Xiaomin Li
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China
| | - Tongxu Liu
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
| | - Chengshuai Liu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
| | - Fangbai Li
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
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28
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Long X, Deng S, Liu W, Bu J, Chen Y, Tan H, Zheng D, Yu S, Liang Q, Zhang C, Wu Q. Transcoronary radiofrequency ablation for obstructive hypertrophic cardiomyopathy: a feasibility study. Eur Heart J 2024; 45:233-235. [PMID: 37936240 PMCID: PMC10787660 DOI: 10.1093/eurheartj/ehad741] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 09/08/2023] [Accepted: 10/19/2023] [Indexed: 11/09/2023] Open
Affiliation(s)
- Xiangshu Long
- Department of Cardiology, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang 550002, China
| | - Shiyan Deng
- Department of Cardiology, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang 550002, China
| | - Wei Liu
- Department of Cardiology, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang 550002, China
| | - Jie Bu
- Department of Cardiology, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang 550002, China
| | - Yaning Chen
- Department of Cardiology, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang 550002, China
| | - Hongwen Tan
- Department of Cardiology, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang 550002, China
| | - Dan Zheng
- Department of Cardiology, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang 550002, China
| | - Shan Yu
- Department of Cardiology, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang 550002, China
| | - Qin Liang
- Department of Cardiology, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang 550002, China
| | - Chenyun Zhang
- Department of Cardiology, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang 550002, China
| | - Qiang Wu
- Department of Cardiology, Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang 550002, China
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29
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Wu J, Yu Y, Zhang S, Zhang P, Yu S, Li W, Wang Y, Li Q, Lu B, Chen L, Luo C, Peng H, Liu T, Cui Y. Clinical significance of peripheral T-cell receptor repertoire profiling and individualized nomograms in patients with gastrointestinal cancer treated with anti-programmed death 1 antibody. Transl Gastroenterol Hepatol 2024; 9:5. [PMID: 38317746 PMCID: PMC10838612 DOI: 10.21037/tgh-23-61] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/26/2023] [Indexed: 02/07/2024] Open
Abstract
Background Immune checkpoint inhibitors (ICIs) have significant clinical benefit for a subset of patients with gastrointestinal cancers (GICs) including esophageal cancer, gastric cancer and colorectal cancer. However, it is difficult to predict which patients will respond favorably to immune checkpoint blockade therapy. Thus, this study was initiated to determine if peripheral T-cell receptor (TCR) repertoire profiling could predict the clinical efficacy of anti-programmed death 1 (PD-1) treatment. Methods Blood samples from 31 patients with GICs were collected before anti-PD-1 antibody treatment initiation. The clinical significance of the combinatorial diversity evenness of the TCR repertoire [the diversity evenness 50 (DE50), with high values corresponding to less clonality and higher TCR diversity] from peripheral blood mononuclear cells (PBMCs) was evaluated in all the enrolled patients. A highly predictive nomogram was set up based on peripheral TCR repertoire profiling. The performance of the nomogram was assessed by receiver operating characteristic (ROC) curve, concordance index (C-index), and calibration curves, and decision curve analysis (DCA) was used to assess its clinical applicability. Results Compared to non-responders [progression disease (PD)], the DE50 scores were significantly higher in responders [stable disease (SD) and partial response (PR)] (P=0.018). Patients with a high DE50 score showed better progression-free survival (PFS) than those with a low DE50 score (P=0.0022). The multivariable Cox regression demonstrated that high DE50 and low platelet-lymphocyte ratio (PLR) were significant independent predictors for better PFS when treated with anti-PD-1 antibody. Furthermore, a highly predictive nomogram was set up based on peripheral TCR repertoire profiling. The area under the curves (AUCs) of this system at 3-, 6- and 12-month PFS reached 0.825, 0.802, and 0.954, respectively. The nomogram had a C-index of 0.768 [95% confidence interval (CI): 0.658-0.879]. Meanwhile, the calibration curves also demonstrated the reliability and stability of the model. Conclusions High DE50 scores were predictive of a favorable response and longer PFS to anti-PD-1 treatment in GIC patients. The nomogram based on TCR repertoire profiling was a reliable and practical tool, which could provide risk assessment and clinical decision-making for individualized treatment of patients.
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Affiliation(s)
- Jing Wu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yiyi Yu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shilong Zhang
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Pengfei Zhang
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shan Yu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Li
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yan Wang
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qian Li
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Binbin Lu
- Shanghai Dunwill Medical Technology Co., Ltd., Shanghai, China
| | - Limeng Chen
- Shanghai Dunwill Medical Technology Co., Ltd., Shanghai, China
| | - Chonglin Luo
- Shanghai Dunwill Medical Technology Co., Ltd., Shanghai, China
| | - Haixiang Peng
- Shanghai Dunwill Medical Technology Co., Ltd., Shanghai, China
| | - Tianshu Liu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuehong Cui
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
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Chen H, Xu MM, Sun YT, Yu S, Yang DQ. [Inhibitory effect of Streptococcus mutans antisense vicK RNA regulating the cariogenicity of oral streptococci multi-species biofilm]. Zhonghua Kou Qiang Yi Xue Za Zhi 2024; 59:64-70. [PMID: 38172063 DOI: 10.3760/cma.j.cn112144-20231031-00229] [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: 01/05/2024]
Abstract
Objective: To investigate the regulative effects of Streptococcus mutans (Sm) antisense vicK RNA (ASvicK) on the multi-species biofilm formed by three common oral streptococci (Sm, Streptococcus sanguinis, and Streptococcus gordonii) (Sm+Ss+Sg). Methods: ASvicK over-expression strain was constructed by using a recombinant plasmid, and three-species biofilm UA159+Ss+Sg and ASvicK+Ss+Sg were cultured. The phenotypes of biofilms were detected by scanning electron microscopy (SEM). Crystal violet (CV) assay was used to detect biofilm biomass. Lactate kit and anthrone-sulfuric acid colorimetric assay were used to determine the abilities of lactic acid and exopolysaccharides production, respectively. The proportions of three-species and expression levels of the cariogenic-related genes in biofilms were detected by TaqMan fluorescence quantitative PCR and real-time fluorescence quantitative PCR. A biofilm demineralization model of human enamel slabs was further constructed, and the hardness of enamel surface was detected. Results: Compared to UA159+Ss+Sg, over-expression of ASvicK could inhibit biofilm formation and lactic acid production in ASvicK+Ss+Sg biofilm significantly decreased by 78.93% (P<0.001) and 62.23% (P<0.001), respectively. With ASvicK over-expression, the amounts of water-insoluble and-soluble glucoses in ASvicK+Ss+Sg biofilm were reduced respectively by 39.13% (P<0.001) and 68.00% (P<0.001). Compared to the UA159+Ss+Sg Group, the proportion of Sm, the cariogenic bacteria, showed 33.00% reduction (P<0.01) in Sm+Ss+Sg biofilm, and the gene expressions of cariogenic-relative genes vicK/X, gtfB/C/D, and ftf significantly decreased (P<0.05). The micro-hardness value of enamel slabs after demineralization by ASvicK+Ss+Sg biofilm was significantly increased to 183.84% (P<0.001). Conclusions: ASvicK over-expression could reduce the Sm proportion and weaken the cariogenicity of oral Streptococcus biofilm, thereby possibly slowing down the progression of caries.
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Affiliation(s)
- H Chen
- Department of Endodontics, Stomatological Hospital of Chongqing Medical University & Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences & Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing 401147, China
| | - M M Xu
- Department of Endodontics, Stomatological Hospital of Chongqing Medical University & Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences & Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing 401147, China
| | - Y T Sun
- Department of Endodontics, Stomatological Hospital of Chongqing Medical University & Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences & Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing 401147, China
| | - S Yu
- Department of Endodontics, Stomatological Hospital of Chongqing Medical University & Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences & Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing 401147, China
| | - D Q Yang
- Department of Endodontics, Stomatological Hospital of Chongqing Medical University & Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences & Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing 401147, China
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Su W, Xu J, Pei D, Li X, Yang J, Geng Z, Liu Q, Yang L, Yu S. Hybrid Electrically Conductive Hydrogels with Local Nerve Growth Factor Release Facilitate Peripheral Nerve Regeneration. ACS Appl Bio Mater 2023; 6:5854-5863. [PMID: 37948755 DOI: 10.1021/acsabm.3c00977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
It is challenging to treat peripheral nerve injury (PNI) clinically. As the gold standard for peripheral nerve repair, autologous nerve grafting remains a critical limitation, including tissue availability, donor-site morbidity, immune rejection, etc. Recently, conductive hydrogels (CHs) have shown potential applications in neural bioengineering due to their good conductivity, biocompatibility, and low immunogenicity. Herein, a hybrid electrically conductive hydrogel composed of acrylic acid derivatives, gelatin, and heparin with sustained nerve growth factor (NGF) release property was developed. The rat sciatic nerve injury (SNI) model (10 mm long segment defect) was used to investigate the efficacy of these hydrogel conduits in facilitating peripheral nerve repair. The results showed that the hydrogel conduits had excellent conductivity, mechanical properties, and biocompatibility. In addition, NGF immobilized in the hydrogel conduits had good sustained release characteristics. Finally, functional recovery and electrophysiological evaluations, together with histological analysis, indicated that the hydrogel conduits immobilizing NGF had superior effects on motor recovery, axon growth, and remyelination, thereby significantly accelerating the repairing of the sciatic nerve. This study demonstrated that hybrid electrically conductive hydrogels with local NGF release could be effectively used for PNI repair.
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Affiliation(s)
- Weijie Su
- Neurosurgery Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Jiakun Xu
- Neurosurgery Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Dating Pei
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China
- Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangdong Institute of Medical Instruments, Guangzhou 510500, China
- National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China
| | - Xixi Li
- Neurosurgery Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Jia Yang
- Neurosurgery Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhijie Geng
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China
- Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangdong Institute of Medical Instruments, Guangzhou 510500, China
- National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China
| | - Qunfeng Liu
- Foshan Polytechnic, Foshan City, Guangdong Province 528000, China
| | - Lixuan Yang
- Neurosurgery Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Shan Yu
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510500, China
- Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangdong Institute of Medical Instruments, Guangzhou 510500, China
- National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China
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Li XJ, Yu S, Liu J, Wu SJ, Tian W, Tian Y. Correlation of serum levels of HIF-1α, SMAD3, and HDAC3 with the disease severity in stroke patients. Eur Rev Med Pharmacol Sci 2023; 27:11840-11846. [PMID: 38164847 DOI: 10.26355/eurrev_202312_34782] [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] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
OBJECTIVE Explore serum levels of hypoxia-inducible factor-1α (HIF-1α), signal transduction molecule 3 (SMAD3), and histone deacetylase (HDAC) and their correlation with the severity of the condition of stroke patients. PATIENTS AND METHODS Clinical records of 93 stroke patients and 93 healthy individuals were retrospectively analyzed. Serum levels of HIF-1α, SMAD3, and HDAC3 in patients with different disease degrees and lesion areas were compared between the two groups. Correlation between serum levels of HIF-1α, SMAD3, and HDAC3 and the severity and lesion area of the observation group were analyzed. RESULTS Serum levels of HIF-1α, SMAD3, and HDAC3 in the observation group were higher than those in the control group (p<0.05). Serum levels of HIF-1α, SMAD3, and HDAC3 in patients with moderate and severe disease were significantly higher than those in patients with mild disease and were the highest in patients with severe disease (p<0.05). Serum levels of HIF-1α, SMAD3, and HDAC3 in patients with moderate and large areas of cerebral infarction were significantly higher than those in patients with small areas of cerebral infarction and the highest in patients with large areas of cerebral infarction (p<0.05). Spearman correlation analysis showed that serum levels of HIF-1α, SMAD3, and HDAC3 significantly positively correlated with the severity of stroke and lesion area (p<0.05). CONCLUSIONS Serum levels of HIF-1α, SMAD3, and HDAC3 in stroke patients are highly expressed, and the increase positively correlates with the severity of the disease and the area of the lesion.
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Affiliation(s)
- X-J Li
- Department of Clinical Laboratory, Hengyang Medical School, The Affiliated Nanhua Hospital, University of South China, Hengyang, Hunan, China.
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Yin W, Li X, Liu P, Li Y, Liu J, Yu S, Tai S. Digestive system deep infiltrating endometriosis: What do we know. J Cell Mol Med 2023; 27:3649-3661. [PMID: 37632165 PMCID: PMC10718155 DOI: 10.1111/jcmm.17921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/06/2023] [Accepted: 08/12/2023] [Indexed: 08/27/2023] Open
Abstract
Digestive system infiltrating endometriosis (DSIE) is an uncommon form of endometriosis in the digestive system. DSIE often occurs in the intestines (especially the sigmoid rectum), liver, gallbladder and pancreas. Clinically, DSIE presents with the same symptoms as endometriosis, including cyclic pain, bleeding and infertility, in addition to specific biliary/intestinal obstruction and gastrointestinal bleeding. Compared to general endometriosis, DSIE has unique biological behaviour and pathophysiological mechanisms. Most DSIEs are deep invasive endometrioses, characterized by metastasis to the lymph nodes and lymphatic vessels, angiogenesis, peripheral nerve recruitment, fibrosis and invasion of surrounding tissues. DSIE-related peripheral angiogenesis is divided into three patterns: angiogenesis, vasculogenesis and inosculation. These patterns are regulated by interactions between multiple hypoxia-hormone cytokines. The nerve growth factors regulate the extensive neurofibril recruitment in DSIE lesions, which accounts for severe symptoms of deep pain. They are also associated with fibrosis and the aggressiveness of DSIE. Cyclic changes in DSIE lesions, recurrent inflammation and oxidative stress promote repeated tissue injury and repair (ReTIAR) mechanisms in the lesions, accelerating fibril formation and cancer-related mutations. Similar to malignant tumours, DSIE can also exhibit aggressiveness derived from collective cell migration mediated by E-cadherin and N-cadherin. This often makes DSIE misdiagnosed as a malignant tumour of the digestive system in clinical practice. In addition to surgery, novel treatments are urgently required to effectively eradicate this lesion.
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Affiliation(s)
- Wenze Yin
- Department of Hepatic SurgerySecond Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Xiaoqing Li
- Department of PathologySecond Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Peng Liu
- Laboratory of Medical GeneticsHarbin Medical UniversityHarbinChina
| | - Yingjie Li
- Department of PathologySix Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Jin Liu
- Department of PathologySecond Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Shan Yu
- Department of PathologySecond Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Sheng Tai
- Department of Hepatic SurgerySecond Affiliated Hospital of Harbin Medical UniversityHarbinChina
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Ding Y, Fang H, Gao Y, Fan G, Shi X, Yu S, Ding S, Huang T, Wang W, Song J. Genome-wide association analysis of time to heading and maturity in bread wheat using 55K microarrays. Front Plant Sci 2023; 14:1296197. [PMID: 38107003 PMCID: PMC10722194 DOI: 10.3389/fpls.2023.1296197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 11/14/2023] [Indexed: 12/19/2023]
Abstract
To investigate the genetic mechanisms underlying the reproductive traits (time to flowering and maturity) in wheat and identify candidate genes associated, a phenotypic analysis was conducted on 239 wheat accessions (lines) from around the world. A genome-wide association study (GWAS) of wheat heading and maturity phases was performed using the MLM (Q+K) model in the TASSLE software, combined with the Wheat 55K SNP array. The results revealed significant phenotypic variation in heading and maturity among the wheat accessions across different years, with coefficients of variation ranging from 0.96% to 1.97%. The phenotypic data from different years exhibited excellent correlation, with a genome-wide linkage disequilibrium (LD) attenuation distance of 3 Mb. Population structure analysis, evolutionary tree analysis, and principal component analysis indicated that the 239 wheat accessions formed a relatively homogeneous natural population, which could be divided into three subgroups. The GWAS results identified a total of 293 SNP marker loci that were significantly associated with wheat heading and maturity stages (P ≤ 0.001) in different environments. Among them, nine stable SNP marker loci were consistently detected in multiple environments. These marker loci were distributed on wheat chromosomes 1A、1B、2D、3A、5B、6D and 7A. Each individual locus explained 4.03%-16.06% of the phenotypic variation. Furthermore, through careful analysis of the associated loci with large phenotypic effect values and stable inheritance, a total of nine candidate genes related to wheat heading and maturity stages were identified. These findings have implications for molecular marker-assisted selection breeding programs targeting specific wheat traits at the heading and maturity stages. In summary, this study conducted a comprehensive GWAS of wheat heading and maturity phases, revealing significant associations between genetic markers and key developmental stages in wheat. The identification of candidate genes and marker loci provides valuable information for further studies on wheat breeding and genetic improvement targeted at enhancing heading and maturity traits.
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Affiliation(s)
- Yindeng Ding
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Hui Fang
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Yonghong Gao
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Guiqiang Fan
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Xiaolei Shi
- Institute of Crop Variety Resources, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Shan Yu
- College of Agriculture, Xinjiang Agricultural University, Urumqi, Xinjiang, China
| | - Sunlei Ding
- Institute of Crop Variety Resources, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Tianrong Huang
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Wei Wang
- Department of Computer Science and Information Engineering, Anyang Institute of Technology, Anyang, China
| | - Jikun Song
- Cotton Research Institute, Chinese Academy of Agricultural Sciences, Anyang, China
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Zhang W, Ma X, Yu S, Zhang X, Mu Y, Li Y, Xiao Q, Ji M. Occupational stress, respect, and the need for psychological counselling in Chinese nurses: a nationwide cross-sectional study. Public Health 2023; 225:72-78. [PMID: 37922589 DOI: 10.1016/j.puhe.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/11/2023] [Accepted: 09/06/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVES This study aimed to explore occupational stress, perceived respect, and the need for psychological counselling among nurses in China. STUDY DESIGN This was a nationwide cross-sectional study. METHODS Chinese nurses from 311 cities were randomly selected through a simple random sampling method. Occupational stress, perceived respect, and psychological counselling need were assessed using an online questionnaire validated by experts. The underlying associated factors were analysed using multiple logistic regression analyses. RESULTS We collected and analysed 51,406 valid online questionnaires. Family factors and low income were the most commonly cited sources of occupational stress, and 91.9% and 80.0% of nurses, respectively, perceived that individuals in society and patients did not give adequate respect. Furthermore, 75.5% and 79.7%, respectively, believed they were not respected by clinical managers and doctors. As a result, 64.7% nurses believed they had a moderate or high need for psychological counselling. However, 80.7% indicated that receiving adequate respect could decrease the need for stress-related psychological counselling. Indeed, multiple logistic regression analyses showed that lower respect perceived by nurses was associated with higher need for psychological counselling, particularly regarding criticism that nurses perceived from nursing managers (a little: odds ratio [OR], 1.597; 95% confidence interval [CI], 1.176-2.170; P = 0.003; moderately: OR, 1.433; 95% CI, 1.180-1.741; P < 0.001) and the difficulty of receiving respect from patients and their families (a little: OR, 1.389; 95% CI, 1.044-1.850; P = 0.024). CONCLUSIONS Nurses in China perceive high levels of occupational stress and low levels of respect and often seek psychological counselling.
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Affiliation(s)
- W Zhang
- Capital Medical University, Beijing, China
| | - X Ma
- Medical School of Chinese PLA, Beijing, China
| | - S Yu
- Medical Security Center, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China
| | - X Zhang
- Department of Nursing Network, Beijing, China
| | - Y Mu
- Beijing College of Social Administration, Beijing, China
| | - Y Li
- Capital Medical University, Beijing, China
| | - Q Xiao
- Capital Medical University, Beijing, China.
| | - M Ji
- Capital Medical University, Beijing, China.
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Yuan X, Zhu Z, Huang Z, Yu S, Jin H, Chen B, Yu S, Xue L, Chen M, Zhang J, Wang J, Wu Q, Ding Y. Engineered lytic phage of Bacillus cereus and its application in milk. Int J Food Microbiol 2023; 405:110339. [PMID: 37517118 DOI: 10.1016/j.ijfoodmicro.2023.110339] [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: 04/20/2023] [Revised: 07/09/2023] [Accepted: 07/21/2023] [Indexed: 08/01/2023]
Abstract
Phages have been approved for use in the food industry to control bacterial contamination in some countries. However, their broader adoption is hindered by some limitations. For instance, the persistence of infectious phages in the food industry can lead to the emergence of resistant bacteria, which negatively impacts the long-term effectiveness of phages. Additionally, the narrow host range of phages limits their effectiveness against various strains. To address these deficiencies, phage engineering has been proposed as a rational approach for modifying phages. In this study, we developed a simple and efficient engineering method for Bacillus cereus phage, using DK1 as an example, to reduce the number of residual phages and expand its range of hosts. Specifically, we knocked out the appendage gene, which codes for the receptor-binding protein, to produce phage progeny with structural defects in their appendages, resulting in the loss of infectivity after host elimination. Furthermore, we used plasmid-mediated means to express different appendage proteins during phage preparation, which allowed altering the host spectrum of the engineered phages without gene insertion. In practical applications, our engineered phages effectively reduced the number of B. cereus in milk and prevented the amplification of active progeny. Our strategy transformed phages from active viruses into more controllable antibacterial agents, making them safer and more efficient for the prevention and control of B. cereus. Moreover, we believe this strategy will help drive the use of engineered phages in the food industry.
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Affiliation(s)
- Xiaoming Yuan
- Department of Food Science & Engineering, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China; Key Laboratory of Agricultural Microbiomics and Precision Application (MARA), Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Zhenjun Zhu
- Department of Food Science & Engineering, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China
| | - Zhichao Huang
- Department of Food Science & Engineering, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China; Key Laboratory of Agricultural Microbiomics and Precision Application (MARA), Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Shan Yu
- Department of Food Science & Engineering, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China; Key Laboratory of Agricultural Microbiomics and Precision Application (MARA), Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Hui Jin
- Department of Food Science & Engineering, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China; Key Laboratory of Agricultural Microbiomics and Precision Application (MARA), Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Bo Chen
- Department of Food Science & Engineering, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China; Key Laboratory of Agricultural Microbiomics and Precision Application (MARA), Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Shubo Yu
- Key Laboratory of Agricultural Microbiomics and Precision Application (MARA), Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Liang Xue
- Key Laboratory of Agricultural Microbiomics and Precision Application (MARA), Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Moutong Chen
- Key Laboratory of Agricultural Microbiomics and Precision Application (MARA), Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Jumei Zhang
- Key Laboratory of Agricultural Microbiomics and Precision Application (MARA), Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Juan Wang
- College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Qingping Wu
- Key Laboratory of Agricultural Microbiomics and Precision Application (MARA), Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Yu Ding
- Department of Food Science & Engineering, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China.
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Zeng Z, Guo J, Shen G, Guo C, Pei D, Lu D, Geng Z, Huang J, Yu S. Antibacterial-Antioxidative Thiolated Gelatin/Methacrylated Silk Fibroin Hydrogels with Nitric Oxide Release Catalyzed by Metal-Polyphenol Nanoparticles for MRSA-Infected Wound Healing. Biomacromolecules 2023; 24:5116-5131. [PMID: 37890086 DOI: 10.1021/acs.biomac.3c00696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2023]
Abstract
Chronic wound infection often leads to irregular tissue closure and accompanies delayed healing and economy issues. Developing an ideal wound dressing that can control the occurrence of antibacterial infections and biological responses is highly desirable. In this study, a multifunctional hybrid hydrogel (GS@EG-Cu-CA NPs) containing synthesized thiolated gelatin, methacrylated silk fibroin, and (-)-epigallocatechin gallate-copper ionic-carrageenan nanoparticles (EG-Cu-CA NPs) was engineered by a thio-ene click reaction. The metal-polyphenol EG-Cu-CA NPs were encapsulated with kappa-carrageenan to enhance its aqueous-soluble, mechanical, and bioactive properties and endowed the hydrogel dressing with fascinating antibacterial, antioxidation, and nitric oxide (NO) generation by catalyzing. The hybrid hydrogels also illustrated a favorable cytocompatibility. Benefiting from the thio-ene click reaction, the hybrid hydrogels were injected and photocured rapidly in situ to cover an irregular wound. In an SD rat full-thickness skin-wound-infected model, the methicillin-resistant Staphylococcus aureus-infected wound covered with GS@EG-Cu-CA NPs was almost completely healed after 10 days. This study presents a facile design of hydrogel dressing incorporating metal-polyphenol nanoparticles, which demonstrates a promising potential way for dealing with effective wound infection management and other complicated wound healings.
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Affiliation(s)
- Zhiwen Zeng
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510316, China
- Guangdong Key Lab of Medical Electronic Instruments and Polymer Material Products, Guangzhou 510500, China
- National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China
| | - Jiayi Guo
- Department of Ultrasonography, The Third Affiliated Hospital of Southern Medical University, Academy of Orthopedics, Guangzhou 510515, Guangdong Province, China
| | - Guangxin Shen
- Foshan Clinical Medical School of Guangzhou University of Chinese Medicine, Foshan 528031, Guangdong Province, China
| | - Cuiping Guo
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510316, China
| | - Dating Pei
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510316, China
| | - Daohuan Lu
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510316, China
| | - Zhijie Geng
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510316, China
| | - Jun Huang
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510316, China
| | - Shan Yu
- Institute of Biological and Medical Engineering, Guangdong Academy of Sciences, Guangzhou 510316, China
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Yang B, Zhang H, Jiang T, Yu S. Natural brain state change with E/I balance shifting toward inhibition is associated with vigilance impairment. iScience 2023; 26:107963. [PMID: 37822500 PMCID: PMC10562778 DOI: 10.1016/j.isci.2023.107963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/25/2023] [Accepted: 09/15/2023] [Indexed: 10/13/2023] Open
Abstract
The delicate balance between cortical excitation and inhibition (E/I) plays a pivotal role in brain state changes. While previous studies have associated cortical hyperexcitability with brain state changes induced by sleep deprivation, whether cortical hypoexcitability is also linked to brain state changes and, if so, how it could affect cognitive performance remain unknown. Here, we address these questions by examining the brain state change occurring after meals, i.e., postprandial somnolence, and comparing it with that induced by sleep deprivation. By analyzing features representing network excitability based on electroencephalogram (EEG) signals, we confirmed cortical hyperexcitability under sleep deprivation but revealed hypoexcitability under postprandial somnolence. In addition, we found that both sleep deprivation and postprandial somnolence adversely affected the level of vigilance. These results indicate that cortical E/I balance toward inhibition is associated with brain state changes, and deviation from the balanced state, regardless of its direction, could impair cognitive performance.
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Affiliation(s)
- Binghao Yang
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Haoran Zhang
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Tianzi Jiang
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 101408, China
- Research Center for Augmented Intelligence, Zhejiang Lab, Hangzhou 311121, China
| | - Shan Yu
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 101408, China
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Liu Y, Yuan W, Lin W, Yu S, Zhou L, Zeng Q, Wang J, Tao L, Dai Q, Liu J. Efficacy and mechanisms of δ-MnO 2 modified biochar with enhanced porous structure for uranium(VI) separation from wastewater. Environ Pollut 2023; 335:122262. [PMID: 37506804 DOI: 10.1016/j.envpol.2023.122262] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 07/17/2023] [Accepted: 07/25/2023] [Indexed: 07/30/2023]
Abstract
Even though uranium (U) is considered to be an essential strategic resource with vital significance to nuclear power development and climate change mitigation, U exposure to human and ecological environment has received growing concerns due to its both highly chemically toxic and radioactively hazardous property. In this study, a composite (M-BC) based on Ficus macrocarpa (banyan tree) aerial roots biochar (BC) modified by δ-MnO2 was designed to separate U(VI) from synthetic wastewater. The results showed that the separation capacity of M-BC was 61.53 mg/g under the solid - liquid ratio of 1 g/L, which was significantly higher than that of BC (12.39 mg/g). The separation behavior of U(VI) both by BC and M-BC fitted well with Freundlich isothermal models, indicating multilayer adsorption occurring on heterogeneous surfaces. The reaction process was consistent with the pseudo-second-order kinetic model and the main rate-limiting step was particle diffusion process. It is worthy to note that the removal of U(VI) by M-BC was maintained at 94.56% even after five cycles, indicating excellent reusability and promising application potential. Multiple characterization techniques (e.g. Scanning Electron Microscope-Energy Dispersive Spectrometer (SEM-EDS), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Brunauer-Emmett-Teller (BET) and X-ray Photoelectron Spectroscopy (XPS)) uncovered that U(VI) complexation with oxygen-containing functional groups (e.g. O-CO and Mn-O) and cation exchange with protonated ≡MnOH were the dominant mechanisms for U(VI) removal. Application in real uranium wastewater treatment showed that 96% removal of U was achieved by M-BC and more than 92% of co-existing (potentially) toxic metals such as Tl, Co, Pb, Cu and Zn were simultaneously removed. The work verified a feasible candidate of banyan tree aerial roots biowaste based δ-MnO2-modified porous BC composites for efficient separation of U(VI) from uranium wastewater, which are beneficial to help address the dilemma between sustainability of nuclear power and subsequent hazard elimination.
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Affiliation(s)
- Yanyi Liu
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China
| | - Wenhuan Yuan
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China
| | - Wenli Lin
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China
| | - Shan Yu
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China
| | - Lei Zhou
- School of Environment and Resource, Key Laboratory of Solid Waste Treatment and Resource Recycling, Ministry of Education, Southwest University of Science and Technology, Mianyang, 621010, China
| | - Qingyi Zeng
- School of Resources & Environment and Safety Engineering, University of South China, Hengyang, 421001, China
| | - Jin Wang
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China.
| | - Luoheng Tao
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China
| | - Qunwei Dai
- School of Environment and Resource, Key Laboratory of Solid Waste Treatment and Resource Recycling, Ministry of Education, Southwest University of Science and Technology, Mianyang, 621010, China
| | - Juan Liu
- School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China
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Wang H, Li Z, Tao Y, Ou S, Ye J, Ran S, Luo K, Guan Z, Xiang J, Yan G, Wang Y, Ma T, Yu S, Song Y, Huang R. Characterization of endoplasmic reticulum stress unveils ZNF703 as a promising target for colorectal cancer immunotherapy. J Transl Med 2023; 21:713. [PMID: 37821882 PMCID: PMC10566095 DOI: 10.1186/s12967-023-04547-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 09/20/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is one of the most common malignant tumors globally, with high morbidity and mortality. Endoplasmic reticulum is a major organelle responsible for protein synthesis, processing, and transport. Endoplasmic reticulum stress (ERS) refers to the abnormal accumulation of unfolded and misfolded proteins in the endoplasmic reticulum, which are involved in tumorigenesis and cancer immunity. Nevertheless, the clinical significance of ERS remains largely unexplored in CRC. METHODS In present study, we performed an unsupervised clustering to identify two types of ERS-related subtypes [ERS clusters, and ERS-related genes (ERSGs) clusters] in multiple large-scale CRC cohorts. Through the utilization of machine learning techniques, we have successfully developed an uncomplicated yet robust gene scoring system (ERSGs signature). Furthermore, a series of analyses, including GO, KEGG, Tumor Immune Dysfunction and Exclusion (TIDE), the Consensus Molecular Subtypes (CMS), were used to explore the underlying biological differences and clinical significance between these groups. And immunohistochemical and bioinformatics analyses were performed to explore ZNF703, a gene of ERSGs scoring system. RESULTS We observed significant differences in prognosis and tumor immune status between the ERS clusters as well as ERSGs clusters. And the ERSGs scoring system was an independent risk factor for overall survival; and exhibited distinct tumor immune status in multicenter CRC cohorts. Besides, analyses of TNM stages, CMS groups demonstrated that patients in advanced stage and CMS4 had higher ERSGs scores. In addition, the ERSGs scores inversely correlated with positive ICB response predictors (such as, CD8A, CD274 (PD-L1), and TIS), and directly correlated with negative ICB response predictors (such as, TIDE, T cell Exclusion, COX-IS). Notably, immunohistochemical staining and bioinformatics analyses revealed that ZNF70 correlated with CD3 + and CD8 + T cells infiltration. CONCLUSION Based on large-scale and multicenter transcriptomic data, our study comprehensively revealed the essential role of ERS in CRC; and constructed a novel ERSGs scoring system to predict the prognosis of patients and the efficacy of ICB treatment. Furthermore, we identified ZNF703 as a potentially promising target for ICB therapy in CRC.
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Affiliation(s)
- Hufei Wang
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China
| | - Zhi Li
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yangbao Tao
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China
| | - Suwen Ou
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China
| | - Jinhua Ye
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China
| | - Songlin Ran
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China
| | - Kangjia Luo
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China
| | - Zilong Guan
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China
| | - Jun Xiang
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China
| | - Guoqing Yan
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China
| | - Yang Wang
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China
| | - Tianyi Ma
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China
| | - Shan Yu
- Department of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China.
| | - Yanni Song
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
| | - Rui Huang
- Department of Colorectal Cancer Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150080, China.
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Yan XM, Li PJ, Li W, Wang XM, Yu S. [Alterations in erythrocytic oligomeric alpha-synuclein in patients with Parkinson's disease and multiple system atrophy]. Zhonghua Yi Xue Za Zhi 2023; 103:2933-2939. [PMID: 37752052 DOI: 10.3760/cma.j.cn112137-20230607-00957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
Objective: To analyze the content of α-synuclein oligomer(O-α-Syn) in erythrocytes in patients with Parkinson's disease (PD) and multiple system atrophy (MSA) and the correlation with clinical symptoms. Methods: Two hundred and ninety-six PD patients and 85 MSA patients were recruited from the Department of Functional Neurosurgery and Neurology of Xuanwu Hospital, Capital Medical University from July 2020 to October 2021. Four hundred and three healthy controls (HC) were recruited from the Beijing Longitudinal Study of Aging community cohort during the same period. The levels of RBC-O-α-Syn were measured by enzyme-linked immunosorbent assay (ELISA). Univariate linear regression model was used to analyze the correlation between the content of RBD-O-α-Syn and various motor and non-motor functional scores, such as Unified Parkinson Disease Rating Scale (UPDRS) Ⅲ, Unified Multiple System Atrophy Rating Scale (UMSARS) Ⅲ, Mini-Mental State Examination (MMSE), rapid eye movement sleep disorder questionnaire-HongKong(RBDQ-HK) and Montreal Cognitive Assessment (MoCA). Receiver operating characteristic (ROC) curves was used to evaluate the specificity, sensitivity, and the area under the curve (AUC) of RBC-O-α-Syn in distinguishing PD and MSA patients from HC subjects. Results: The average age of HC subjects was (70±8) years old, the average age of PD patients was (64±9) years old, including 115 (38.9%) cases with tremor dominant PD (TD-PD), 132 cases (44.6%) of postural instability disorder predominant PD (PIGD-PD), and 142 cases (48.0%) of patients with H-Y stage 2. UPDRS Ⅲ score was 31.2±17.8. The mean age of MSA patients was (64±9) years, with the mean UMSARS Ⅱ score of 18.9±10.3. The non-motor symptoms of PD and MSA patients were significantly different from those of HC subjects (P<0.001). The levels of RBC-O-α-Syn in PD [(50±17) ng/mg] and MSA [(52±19) ng/mg] were significantly higher than those in HC subjects [(21±10) ng/mg] (P<0.001). The sensitivity and specificity of RBC-O-α-Syn in distinguishing PD patients and HC subjects were 87.16% (95%CI: 82.87%-90.50%) and 86.10% (95%CI: 82.38%-89.14%), with an AUC of 0.933 (95%CI: 0.914-0.951), and the sensitivity and specificity in distinguishing MSA patients and HC subjects were 85.88% (95%CI: 76.93%-91.74%) and 81.39% (95%CI: 77.30%-84.89%), with an AUC of 0.921 (95%CI: 0.884-0.957). The levels of RBC-O-α-Syn in PD patients with rapid eye movement sleep behavior disorder (RBD) were higher than that in PD patients without RBD [(53±16) ng/mg vs (48±17) ng/mg, P=0.029].The content of RBC-O-α-Syn in female PD patients and HC subjects was higher than that in male, but there was no significant difference between subjects of different ages and disease duration (P>0.05). In addition, RBC-O-α-Syn content was positively correlated with UPDRS Ⅲ (r=0.18, P=0.002) and the score of rapid eye movement sleep behavior disorder questionnaire(Hong Kong) (RBDQ-HK)(r=0.19, P<0.001). But there was no correlation with H-Y stage, non-motor symptoms scale (NMSS), MMSE, Moca, Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA) scores (all P>0.05). There was no correlation between RBC-O-α-Syn content and UMSARS Ⅱ, NMSS, MMSE, MoCA, HAMD, HAMA in patients with MSA (all P>0.05). Conclusions: Levels of RBC-O-α-Syn are significantly increased in PD and MSA patients. There are positive correlations between levels of RBC-O-α-Syn and scores of UPDRS Ⅲ and RBDQ-HK.
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Affiliation(s)
- X M Yan
- Department of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053,China
| | - P J Li
- Department of Neurobiology, Xuanwu Hospital, Capital Medical University, Beijing 100053,China
| | - W Li
- Department of Histology and Embryology, Weifang Medical University, Weifang 261053,China
| | - X M Wang
- Department of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053,China
| | - S Yu
- Department of Neurobiology, Xuanwu Hospital, Capital Medical University, Beijing 100053,China
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Wu L, Mei S, Yu S, Han S, Zhang YQ. Shank3 mutations enhance early neural responses to deviant tones in dogs. Cereb Cortex 2023; 33:10546-10557. [PMID: 37585733 DOI: 10.1093/cercor/bhad302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/18/2023] Open
Abstract
Both enhanced discrimination of low-level features of auditory stimuli and mutations of SHANK3 (a gene that encodes a synaptic scaffolding protein) have been identified in autism spectrum disorder patients. However, experimental evidence regarding whether SHANK3 mutations lead to enhanced neural processing of low-level features of auditory stimuli is lacking. The present study investigated this possibility by examining effects of Shank3 mutations on early neural processing of pitch (tone frequency) in dogs. We recorded electrocorticograms from wild-type and Shank3 mutant dogs using an oddball paradigm in which deviant tones of different frequencies or probabilities were presented along with other tones in a repetitive stream (standards). We found that, relative to wild-type dogs, Shank3 mutant dogs exhibited larger amplitudes of early neural responses to deviant tones and greater sensitivity to variations of deviant frequencies within 100 ms after tone onsets. In addition, the enhanced early neural responses to deviant tones in Shank3 mutant dogs were observed independently of the probability of deviant tones. Our findings highlight an essential functional role of Shank3 in modulations of early neural detection of novel sounds and offer new insights into the genetic basis of the atypical auditory information processing in autism patients.
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Affiliation(s)
- Liang Wu
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuting Mei
- School of Psychological and Cognitive Sciences, PKU-IDG/McGovern Institute for Brain Research, Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China
| | - Shan Yu
- Brainnetome Center and State Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Shihui Han
- School of Psychological and Cognitive Sciences, PKU-IDG/McGovern Institute for Brain Research, Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China
| | - Yong Q Zhang
- State Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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Moström MJ, Yu S, Tran D, Saccoccio FM, Versoza CJ, Malouli D, Mirza A, Valencia S, Gilbert M, Blair RV, Hansen S, Barry P, Früh K, Jensen JD, Pfeifer SP, Kowalik TF, Permar SR, Kaur A. Protective effect of pre-existing natural immunity in a nonhuman primate reinfection model of congenital cytomegalovirus infection. PLoS Pathog 2023; 19:e1011646. [PMID: 37796819 PMCID: PMC10553354 DOI: 10.1371/journal.ppat.1011646] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 08/29/2023] [Indexed: 10/07/2023] Open
Abstract
Congenital cytomegalovirus (cCMV) is the leading infectious cause of neurologic defects in newborns with particularly severe sequelae in the setting of primary CMV infection in the first trimester of pregnancy. The majority of cCMV cases worldwide occur after non-primary infection in CMV-seropositive women; yet the extent to which pre-existing natural CMV-specific immunity protects against CMV reinfection or reactivation during pregnancy remains ill-defined. We previously reported on a novel nonhuman primate model of cCMV in rhesus macaques where 100% placental transmission and 83% fetal loss were seen in CD4+ T lymphocyte-depleted rhesus CMV (RhCMV)-seronegative dams after primary RhCMV infection. To investigate the protective effect of preconception maternal immunity, we performed reinfection studies in CD4+ T lymphocyte-depleted RhCMV-seropositive dams inoculated in late first / early second trimester gestation with RhCMV strains 180.92 (n = 2), or RhCMV UCD52 and FL-RhCMVΔRh13.1/SIVgag, a wild-type-like RhCMV clone with SIVgag inserted as an immunological marker, administered separately (n = 3). An early transient increase in circulating monocytes followed by boosting of the pre-existing RhCMV-specific CD8+ T lymphocyte and antibody response was observed in the reinfected dams but not in control CD4+ T lymphocyte-depleted dams. Emergence of SIV Gag-specific CD8+ T lymphocyte responses in macaques inoculated with the FL-RhCMVΔRh13.1/SIVgag virus confirmed reinfection. Placental transmission was detected in only one of five reinfected dams and there were no adverse fetal sequelae. Viral whole genome, short-read, deep sequencing analysis confirmed transmission of both reinfection RhCMV strains across the placenta with ~30% corresponding to FL-RhCMVΔRh13.1/SIVgag and ~70% to RhCMV UCD52, consistent with the mixed human CMV infections reported in infants with cCMV. Our data showing reduced placental transmission and absence of fetal loss after non-primary as opposed to primary infection in CD4+ T lymphocyte-depleted dams indicates that preconception maternal CMV-specific CD8+ T lymphocyte and/or humoral immunity can protect against cCMV infection.
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Affiliation(s)
- Matilda J. Moström
- Tulane National Primate Research Center, Tulane University, Covington, Louisiana, United States of America
| | - Shan Yu
- Tulane National Primate Research Center, Tulane University, Covington, Louisiana, United States of America
| | - Dollnovan Tran
- Tulane National Primate Research Center, Tulane University, Covington, Louisiana, United States of America
| | - Frances M. Saccoccio
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, United States of America
| | - Cyril J. Versoza
- Center for Evolution & Medicine, School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
| | - Daniel Malouli
- Oregon Health and Sciences University, Beaverton, Oregon, United States of America
| | - Anne Mirza
- University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States of America
| | - Sarah Valencia
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, United States of America
| | - Margaret Gilbert
- Tulane National Primate Research Center, Tulane University, Covington, Louisiana, United States of America
| | - Robert V. Blair
- Tulane National Primate Research Center, Tulane University, Covington, Louisiana, United States of America
| | - Scott Hansen
- Oregon Health and Sciences University, Beaverton, Oregon, United States of America
| | - Peter Barry
- University of California, Davis, California, United States of America
| | - Klaus Früh
- Oregon Health and Sciences University, Beaverton, Oregon, United States of America
| | - Jeffrey D. Jensen
- Center for Evolution & Medicine, School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
| | - Susanne P. Pfeifer
- Center for Evolution & Medicine, School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
| | - Timothy F. Kowalik
- University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States of America
| | - Sallie R. Permar
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, United States of America
- Weill Cornell Medicine, New York, New York State, United States of America
| | - Amitinder Kaur
- Tulane National Primate Research Center, Tulane University, Covington, Louisiana, United States of America
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Hu B, Chen D, Li Y, Yu S, Kuang L, Ma X, Yang Q, He K, Zhao Y, Wang G, Guo M. Expression of TXLNA in brain gliomas and its clinical significance: a bioinformatics analysis. Chin Neurosurg J 2023; 9:27. [PMID: 37752559 PMCID: PMC10521531 DOI: 10.1186/s41016-023-00341-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 08/29/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND To analyze the expression of TXLNA in brain gliomas and its clinical significance. METHODS Gene Expression Profiling Interactive Analysis(GEPIA)and Chinese Glioma Genome Atlas(CGGA)databases were retrieved as the methods. To assess the disparity between TXLNA expression in glioma and normal brain tissue. The Kaplan-Meier survival curve was employed to preliminarily evaluate the survival curves of the high and low expression groups, this was done for investigate the correlation between TXLNA expression level and the survival and prognosis of glioma. A Cox proportional regression risk model of multivariate nature was employed to evaluate the elements impacting the survival and prognosis of glioma. Gene pool enrichment analysis(GSEA)was used to investigate the related function of TXLNA in glioma. A Pearson correlation test and co-expression analysis were employed to identify the genes most associated with TXLNA expression. RESULT The enrichment analysis results were observably enriched in signal pathways for instance the cell cycle and completion and coordination cascade pathways, and it is evident that high expression of TXLNA in gliomas is related to a poor survival and a bad patient prognosis, thus making it an independent prognostic factor for gliomas. Genes such as STK40 and R1MS1 are significantly correlated with TXLNA, playing a synergistic or antagonistic role. CONCLUSIONS The prognosis of GBM patients is strongly linked to the high expression of TXLNA, which may be a viable therapeutic target for curbing cancer progression and creating new immunotherapies for GBM.
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Affiliation(s)
- Bowen Hu
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Desheng Chen
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Yang Li
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Shan Yu
- Department of Pathology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Liangwen Kuang
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Xinqi Ma
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Qingsong Yang
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Ke He
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Yan Zhao
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China
| | - Guangzhi Wang
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China.
| | - Mian Guo
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang, Harbin, 150086, Heilongjiang Province, China.
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Yu S, Kalinin AA, Paraskevopoulou MD, Maruggi M, Cheng J, Tang J, Icke I, Luo Y, Wei Q, Scheibe D, Hunter J, Singh S, Nguyen D, Carpenter AE, Horman SR. Integrating inflammatory biomarker analysis and artificial-intelligence-enabled image-based profiling to identify drug targets for intestinal fibrosis. Cell Chem Biol 2023; 30:1169-1182.e8. [PMID: 37437569 PMCID: PMC10529501 DOI: 10.1016/j.chembiol.2023.06.014] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 03/11/2023] [Accepted: 06/13/2023] [Indexed: 07/14/2023]
Abstract
Intestinal fibrosis, often caused by inflammatory bowel disease, can lead to intestinal stenosis and obstruction, but there are no approved treatments. Drug discovery has been hindered by the lack of screenable cellular phenotypes. To address this, we used a scalable image-based morphology assay called Cell Painting, augmented with machine learning algorithms, to identify small molecules that could reverse the activated fibrotic phenotype of intestinal myofibroblasts. We then conducted a high-throughput small molecule chemogenomics screen of approximately 5,000 compounds with known targets or mechanisms, which have achieved clinical stage or approval by the FDA. By integrating morphological analyses and AI using pathologically relevant cells and disease-relevant stimuli, we identified several compounds and target classes that are potentially able to treat intestinal fibrosis. This phenotypic screening platform offers significant improvements over conventional methods for identifying a wide range of drug targets.
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Affiliation(s)
- Shan Yu
- Takeda Development Center Americas, Inc., San Diego, CA 92121, USA.
| | | | | | - Marco Maruggi
- Takeda Development Center Americas, Inc., San Diego, CA 92121, USA
| | - Jie Cheng
- Takeda Development Center Americas, Inc., Cambridge, MA 02142, USA
| | - Jie Tang
- Takeda Development Center Americas, Inc., San Diego, CA 92121, USA
| | - Ilknur Icke
- Takeda Development Center Americas, Inc., Cambridge, MA 02142, USA
| | - Yi Luo
- Takeda Development Center Americas, Inc., San Diego, CA 92121, USA
| | - Qun Wei
- Takeda Development Center Americas, Inc., San Diego, CA 92121, USA
| | - Dan Scheibe
- Takeda Development Center Americas, Inc., San Diego, CA 92121, USA
| | - Joel Hunter
- Takeda Development Center Americas, Inc., San Diego, CA 92121, USA
| | - Shantanu Singh
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Deborah Nguyen
- Takeda Development Center Americas, Inc., San Diego, CA 92121, USA
| | | | - Shane R Horman
- Takeda Development Center Americas, Inc., San Diego, CA 92121, USA.
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Feng A, Feng Y, Zhi D, Jiang R, Fu Z, Xu M, Zhao M, Yu S, Stevens M, Sun L, Calhoun V, Sui J. Functional Imaging Derived ADHD Biotypes Based on Deep Clustering May Guide Personalized Medication Therapy. Res Sq 2023:rs.3.rs-3272441. [PMID: 37790426 PMCID: PMC10543279 DOI: 10.21203/rs.3.rs-3272441/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Attention deficit hyperactivity disorder (ADHD) is one prevalent neurodevelopmental disorder with childhood onset, however, there is no clear correspondence established between clinical ADHD subtypes and primary medications. Identifying objective and reliable neuroimaging markers for categorizing ADHD biotypes may lead to more individualized, biotype-guided treatment. Here we proposed graph convolutional network plus deep clustering for ADHD biotype detection using functional network connectivity (FNC), resulting in two biotypes based on 1069 ADHD patients selected from Adolescent Brain and Cognitive Development (ABCD) study, which were well replicated on independent ADHD adolescents undergoing longitudinal medication treatment (n=130). Interestingly, in addition to differences in cognitive performance and hyperactivity/impulsivity symptoms, biotype 1 treated with methylphenidate demonstrated significantly better recovery than biotype 2 treated with atomoxetine (p<0.05, FDR corrected). This imaging-driven, biotype-guided approach holds promise for facilitating personalized treatment of ADHD, exploring possible boundaries through innovative deep learning algorithms aimed at improving medication treatment effectiveness.
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Affiliation(s)
- Aichen Feng
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 100190
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China, 100049
| | - Yuan Feng
- Peking University Sixth Hospital/Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China, 100191
| | - Dongmei Zhi
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China, 100875
| | - Rongtao Jiang
- Department of Radiology and Biomedical imaging, Yale University, New Haven, Connecticut, USA
| | - Zening Fu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Emory University and Georgia State University, Atlanta, Georgia, United States, 30303
| | - Ming Xu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 100190
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China, 100049
| | - Min Zhao
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 100190
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China, 100049
| | - Shan Yu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 100190
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China, 100049
| | - Michael Stevens
- Department of Psychiatry, Olin Neuropsychiatry Research Center, Institute of Living, Hartford Healthcare Corporation, Hartford, CT, United States
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Li Sun
- Peking University Sixth Hospital/Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China, 100191
| | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Emory University and Georgia State University, Atlanta, Georgia, United States, 30303
| | - Jing Sui
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China, 100875
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Emory University and Georgia State University, Atlanta, Georgia, United States, 30303
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Li K, Yu S, Yang Y, He YZ, Wu Y. Mechanisms of feeding cessation in Helicoverpa armigera larvae exposed to Bacillus thuringiensis Cry1Ac toxin. Pestic Biochem Physiol 2023; 195:105565. [PMID: 37666620 DOI: 10.1016/j.pestbp.2023.105565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 07/27/2023] [Accepted: 08/01/2023] [Indexed: 09/06/2023]
Abstract
Insecticidal proteins from the bacterium Bacillus thuringiensis (Bt) have been applied in sprayable formulations and expressed in transgenic crops for the control of pests in the field. When exposed to Bt proteins insect larvae display feeding cessation, yet the mechanism for this phenomenon remains unknown. In this study, we investigated the feeding behavior and underlying mechanisms of cotton bollworm (Helicoverpa armigera) larvae after exposure to the Cry1Ac protein from Bt. Three H. armigera strains were studied: the susceptible SCD strain, the C2/3-KO strain with HaABCC2 and HaABCC3 knocked out and high-level resistance to Cry1Ac (>15,000-fold), and the SCD-KI strain with a T92C point mutation in tetraspanin (HaTSPAN1) and medium-level resistance to Cry1Ac (125-fold). When determining the percentage of insects that continued feeding after various exposure times to Cry1Ac, we observed quick cessation of feeding in larvae from the susceptible SCD strain, whereas larvae from the C2/3-KO strain did not display feeding cessation. In contrast, larvae from the SCD-KI strain rapidly recovered from the initial feeding cessation. Histopathological analyses and qRT-PCR in midguts of SCD larvae after Cry1Ac exposure detected serious epithelial damage and significantly reduced expression of the neuropeptide F gene (NPF) and its potential receptor gene NPFR, which are reported to promote insect feeding. Neither epithelial damage nor altered NPF and NPFR expression appeared in midguts of C2/3-KO larvae after Cry1Ac treatment. The same treatment in SCD-KI larvae resulted in milder epithelial damage and subsequent repair, and a decrease followed by an initial increase in NPF and NPFR expression. These results demonstrate that the feeding cessation response to Cry1Ac in cotton bollworm larvae is closely associated with midgut epithelial damage and downregulation of NPF and NPFR expression. This information provides clues to the mechanism of feeding cessation in response to Bt intoxication and contributes to the mode of action of the Cry1Ac toxin in target pests.
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Affiliation(s)
- Kaixia Li
- College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China
| | - Shan Yu
- College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China
| | - Yihua Yang
- College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China
| | - Ya-Zhou He
- College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China.
| | - Yidong Wu
- College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China.
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He J, Zhang H, Dang Y, Zhuang Y, Ge Q, Yang Y, Xu L, Xia X, Laureys S, Yu S, Zhang W. Electrophysiological characteristics of CM-pf in diagnosis and outcome of patients with disorders of consciousness. Brain Stimul 2023; 16:1522-1532. [PMID: 37778457 DOI: 10.1016/j.brs.2023.09.021] [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: 01/11/2023] [Revised: 09/07/2023] [Accepted: 09/20/2023] [Indexed: 10/03/2023] Open
Abstract
BACKGROUND Deep brain stimulation (DBS) in the centromedian-parafascicular complex (CM-pf) has been reported as a potential therapeutic option for disorders of consciousness (DoC). However, the lack of understanding of its electrophysiological characteristics limits the improvement of therapeutic effect. OBJECTIVE To investigate the CM-pf electrophysiological characteristics underlying disorders of consciousness (DoC) and its recovery. METHODS We collected the CM-pf electrophysiological signals from 23 DoC patients who underwent central thalamus DBS (CT-DBS) surgery. Five typical electrophysiological features were extracted, including neuronal firing properties, multiunit activity (MUA) properties, signal stability, spike-MUA synchronization strength (syncMUA), and the background noise level. Their correlations with the consciousness level, the outcome, and the primary clinical factors of DoC were analyzed. RESULTS 11 out of 23 patients (0/2 chronic coma, 5/13 unresponsive wakefulness syndrome/vegetative state (UWS/VS), 6/8 minimally conscious state minus (MCS-)) exhibited an improvement in the level of consciousness after CT-DBS. In CM-pf, significantly stronger gamma band syncMUA strength and alpha band normalized MUA power were found in MCS- patients. In addition, higher firing rates, stronger high-gamma band MUA power and alpha band normalized power, and more stable theta oscillation were correlated with better outcomes. Besides, we also identified electrophysiological properties that are correlated with clinical factors, including etiologies, age, and duration of DoC. CONCLUSION We provide comprehensive analyses of the electrophysiological characteristics of CM-pf in DoC patients. Our results support the 'mesocircuit' hypothesis, one proposed mechanism of DoC recovery, and reveal CM-pf electrophysiological features that are crucial for understanding the pathogenesis of DoC, predicting its recovery, and explaining the effect of clinical factors on DoC.
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Affiliation(s)
- Jianghong He
- Neurosurgery Center, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Haoran Zhang
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Future Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuanyuan Dang
- Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China
| | - Yutong Zhuang
- Department of Neurosurgery, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Qianqian Ge
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Yi Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Long Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Xiaoyu Xia
- Department of Neurosurgery, The Seventh Medical Center of PLA General Hospital, Beijing, 100700, China
| | - Steven Laureys
- CERVO Brain Research Centre, Laval University, Canada; Coma Science Group, GIGA Consciousness Research Unit, Liège University Hospital, Belgium; International Consciousness Science Institute, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Shan Yu
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Future Technology, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Wangming Zhang
- Neurosurgery Center, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, China.
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Wei YC, Zhu JY, Wu J, Yu S, Li W, Zhu MX, Liu TS, Cui YH, Li Q. Nestin overexpression reduces the sensitivity of gastric cancer cells to trastuzumab. J Gastrointest Oncol 2023; 14:1694-1706. [PMID: 37720426 PMCID: PMC10502550 DOI: 10.21037/jgo-22-1048] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 07/21/2023] [Indexed: 09/19/2023] Open
Abstract
Background Trastuzumab (TRA) shows significant efficacy in patients with human epidermal growth factor receptor 2 (HER2)-positive gastric cancer (GC). While TRA can help treat HER2-positive breast cancer, TRA resistance is a key clinical challenge. Nestin reportedly regulates the cellular redox homeostasis in lung cancer. This study aimed at identifying the functions of Nestin on the TRA sensitivity of HER2-positive GC cells. Methods Real-time polymerase chain reaction (PCR) and Western blotting (WB) were performed to explore the association between the mRNA and protein expression profiles, respectively, of Nestin and the Keap1-Nrf2 pathway. The influence of Nestin overexpression on the in vitro sensitivity of GC cells to TRA was explored by Cell Counting Kit-8 (CCK-8) assay, colony formation assay, reactive oxygen species (ROS) detection, and flow cytometry. Results TRA treatment caused Nestin downregulation in two HER2-positive GC cell lines (MKN45 and NCI-N87). Nestin overexpression reduced the sensitivity of GC cells to TRA. The expression and activity of Nrf2 and relevant downstream antioxidant genes were increased by Nestin overexpression. Nestin overexpression also significantly suppressed TRA-induced apoptosis and ROS generation. In vivo tumor growth experiment with female BALB/c nude mice indicated that Nestin upregulation restored the tumor growth rate which was inhibited by TRA treatment. Conclusions Collectively, the inhibitory effect of Nestin on the TRA sensitivity of cells to TRA was confirmed in this study. These results imply that the antioxidant Nestin-Nrf2 axis may play a role in the mechanism underlying the resistance of GC cells to TRA.
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Affiliation(s)
- Yi-Chou Wei
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jiang-Yi Zhu
- Department of Radiotherapy, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jing Wu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shan Yu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Li
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Meng-Xuan Zhu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Tian-Shu Liu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yue-Hong Cui
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qian Li
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
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Xie L, Yu S, Lu X, Liu S, Tang Y, Lu H. Different Responses of Bacteria and Archaea to Environmental Variables in Brines of the Mahai Potash Mine, Qinghai-Tibet Plateau. Microorganisms 2023; 11:2002. [PMID: 37630563 PMCID: PMC10458105 DOI: 10.3390/microorganisms11082002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/29/2023] [Accepted: 07/31/2023] [Indexed: 08/27/2023] Open
Abstract
Salt mines feature both autochthonous and allochthonous microbial communities introduced by industrialization. It is important to generate the information on the diversity of the microbial communities present in the salt mines and how they are shaped by the environment representing ecological diversification. Brine from Mahai potash mine (Qianghai, China), an extreme hypersaline environment, is used to produce potash salts for hundreds of millions of people. However, halophiles preserved in this niche during deposition are still unknown. In this study, using high-throughput 16S rRNA gene amplicon sequencing and estimation of physicochemical variables, we examined brine samples collected from locations with the gradient of industrial activity intensity and discrete hydrochemical compositions in the Mahai potash mine. Our findings revealed a highly diverse bacterial community, mainly composed of Pseudomonadota in the hypersaline brines from the industrial area, whereas in the natural brine collected from the upstream Mahai salt lake, most of the 16S rRNA gene reads were assigned to Bacteroidota. Halobacteria and halophilic methanogens dominated archaeal populations. Furthermore, we discovered that in the Mahai potash mining area, bacterial communities tended to respond to anthropogenic influences. In contrast, archaeal diversity and compositions were primarily shaped by the chemical properties of the hypersaline brines. Conspicuously, distinct methanogenic communities were discovered in sets of samples with varying ionic compositions, indicating their strong sensitivity to the brine hydrochemical alterations. Our findings provide the first taxonomic snapshot of microbial communities from the Mahai potash mine and reveal the different responses of bacteria and archaea to environmental variations in this high-altitude aquatic ecosystem.
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Affiliation(s)
- Linglu Xie
- School of Earth and Space Sciences, Peking University, Beijing 100871, China; (L.X.)
| | - Shan Yu
- Beijing International Center for Gas Hydrate, School of Earth and Space Sciences, Peking University, Beijing 100871, China
- National Engineering Research Center for Gas Hydrate Exploration and Development, Guangzhou 511466, China
| | - Xindi Lu
- School of Earth and Space Sciences, Peking University, Beijing 100871, China; (L.X.)
| | - Siwei Liu
- School of Earth and Space Sciences, Peking University, Beijing 100871, China; (L.X.)
| | - Yukai Tang
- School of Earth and Space Sciences, Peking University, Beijing 100871, China; (L.X.)
| | - Hailong Lu
- School of Earth and Space Sciences, Peking University, Beijing 100871, China; (L.X.)
- Beijing International Center for Gas Hydrate, School of Earth and Space Sciences, Peking University, Beijing 100871, China
- National Engineering Research Center for Gas Hydrate Exploration and Development, Guangzhou 511466, China
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