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Li T, You Q, Zhang S, Li R, Xie S, Li D, Ai S, Yang R, Guo H. Performance of 18F-FDG PET/MRI and its parameters in staging and neoadjuvant therapy response evaluation in bladder cancer. iScience 2024; 27:109657. [PMID: 38689640 PMCID: PMC11059538 DOI: 10.1016/j.isci.2024.109657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/19/2023] [Accepted: 04/01/2024] [Indexed: 05/02/2024] Open
Abstract
18F-FDG PET/MRI shows potential efficacy in the diagnosis of bladder cancer (BLCA). However, the performance of 18F-FDG PET/MRI in staging and neoadjuvant therapy (NAT) response evaluation for BLCA patients remains elusive. Here, we conduct this study to evaluate the performance of 18F-FDG PET/MRI and its derived parameters for tumor staging and NAT response prediction in BLCA. Forty BLCA patients were retrospectively enrolled to evaluate the performance of 18F-FDG PET/MRI in staging and NAT response prediction in BLCA. The feasibility of using 18F-FDG PET/MRI-related parameters for tumor staging and NAT response evaluation was also analyzed. In conclusion, 18F-FDG PET/MRI is found to show good performance in the BLCA staging and NAT response prediction. Moreover, ΔSUVmean is an efficacious candidate parameter for NAT response prediction. This study highlights that 18F-FDG PET/MRI is a promising imaging approach in the clinical diagnosis and treatment for BLCA.
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Affiliation(s)
- Tianhang Li
- Department of Urology, Affiliated Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- Department of Urology, Zhongda Hospital, Southeast University, Nanjing, China
- Surgical Research Center, Institute of Urology, Southeast University Medical School, Nanjing, China
| | - Qinqin You
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Shiwei Zhang
- Department of Urology, Affiliated Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Rushuai Li
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Shangxun Xie
- Department of Urology, Affiliated Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Danyan Li
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Medical School of Nanjing University, Nanjing, China
| | - Shuyue Ai
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Rong Yang
- Department of Urology, Affiliated Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Hongqian Guo
- Department of Urology, Affiliated Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
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Zhang L, Dai S, Chen Y, Jin T, Li W, Wang W, Pu J, Jia P, Zhao L, Sun X. Scoping review of obesity interventions: Research frontiers and publication status. iScience 2024; 27:109240. [PMID: 38495822 PMCID: PMC10940913 DOI: 10.1016/j.isci.2024.109240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024] Open
Abstract
Obesity and overweight are significant global health issues, and numerous obesity intervention studies have been conducted. Summarizing current knowledge of interventions aims to inform researchers and policymakers to keep up-to-date with the latest scientific advancements and trends. In this review, we comprehensively retrieved and screened 4,541 studies on obesity intervention published between 2018 and 2022 in the Web of Science Core Collection, and objectively presented research frontiers using bibliometric analysis. The research frontiers of intervention are mainly focused on dietary, exercise, pharmacological interventions, bariatric surgery, environmental, and cognitive interventions. Time-restricted eating is the hottest research topic, followed by probiotics and Roux-en-Y gastric bypass. Gut microbiota is located in the "Basic and transversal themes" quadrant with a high centrality and low density, which has great development potentiality. Obesity intervention is becoming increasingly common,and we advocate for researchers to undertake more focused research endeavors that consider the specific characteristics of diverse populations or patients.
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Affiliation(s)
- Longhao Zhang
- Department of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
- Department of Medical Discipline Construction, West China Hospital, Sichuan University, Chengdu, China
| | - Shuang Dai
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yufei Chen
- Core Facilities, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tingting Jin
- Department of Health Policy and Management, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Wei Li
- Department of Medical Discipline Construction, West China Hospital, Sichuan University, Chengdu, China
| | - Wen Wang
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jian Pu
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Peng Jia
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
| | - Li Zhao
- Department of Health Policy and Management, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xin Sun
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
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Lee H, Lee J, Jang J, Hwang I, Choi KS, Park JH, Chung JW, Choi SH. Predicting hematoma expansion in acute spontaneous intracerebral hemorrhage: integrating clinical factors with a multitask deep learning model for non-contrast head CT. Neuroradiology 2024; 66:577-587. [PMID: 38337016 PMCID: PMC10937749 DOI: 10.1007/s00234-024-03298-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: 11/06/2023] [Accepted: 01/25/2024] [Indexed: 02/12/2024]
Abstract
PURPOSE To predict hematoma growth in intracerebral hemorrhage patients by combining clinical findings with non-contrast CT imaging features analyzed through deep learning. METHODS Three models were developed to predict hematoma expansion (HE) in 572 patients. We utilized multi-task learning for both hematoma segmentation and prediction of expansion: the Image-to-HE model processed hematoma slices, extracting features and computing a normalized DL score for HE prediction. The Clinical-to-HE model utilized multivariate logistic regression on clinical variables. The Integrated-to-HE model combined image-derived and clinical data. Significant clinical variables were selected using forward selection in logistic regression. The two models incorporating clinical variables were statistically validated. RESULTS For hematoma detection, the diagnostic performance of the developed multi-task model was excellent (AUC, 0.99). For expansion prediction, three models were evaluated for predicting HE. The Image-to-HE model achieved an accuracy of 67.3%, sensitivity of 81.0%, specificity of 64.0%, and an AUC of 0.76. The Clinical-to-HE model registered an accuracy of 74.8%, sensitivity of 81.0%, specificity of 73.3%, and an AUC of 0.81. The Integrated-to-HE model, merging both image and clinical data, excelled with an accuracy of 81.3%, sensitivity of 76.2%, specificity of 82.6%, and an AUC of 0.83. The Integrated-to-HE model, aligning closest to the diagonal line and indicating the highest level of calibration, showcases superior performance in predicting HE outcomes among the three models. CONCLUSION The integration of clinical findings with non-contrast CT imaging features analyzed through deep learning showed the potential for improving the prediction of HE in acute spontaneous intracerebral hemorrhage patients.
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Affiliation(s)
- Hyochul Lee
- Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Department of Radiology, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
| | - Junhyeok Lee
- Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Department of Radiology, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
| | - Joon Jang
- Department of Biomedical Sciences, Seoul National University, Seoul, 03080, Korea
| | - Inpyeong Hwang
- Department of Radiology, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
- Department of Radiology, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
- Artificial Intelligence Collaborative Network, Department of Radiology, Seoul National University Hospital, Seoul, 03080, Republic of Korea.
| | - Kyu Sung Choi
- Department of Radiology, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
- Artificial Intelligence Collaborative Network, Department of Radiology, Seoul National University Hospital, Seoul, 03080, Republic of Korea.
| | - Jung Hyun Park
- Department of Radiology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, 07061, South Korea
| | - Jin Wook Chung
- Department of Radiology, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
- Department of Radiology, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
- Artificial Intelligence Collaborative Network, Department of Radiology, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Seung Hong Choi
- Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Department of Radiology, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
- Department of Radiology, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
- Artificial Intelligence Collaborative Network, Department of Radiology, Seoul National University Hospital, Seoul, 03080, Republic of Korea
- Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul, 08826, Republic of Korea
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Zamorano M, Monteagudo JM, González E, Rayo I, Fernández S, Castillo M, Zhou Q, de la Villa P, Zamorano JL. Pupil reflex as a marker of activity and prognosis in heart failure: a longitudinal and prospective study. ESC Heart Fail 2024. [PMID: 38494834 DOI: 10.1002/ehf2.14746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 01/26/2024] [Accepted: 02/19/2024] [Indexed: 03/19/2024] Open
Abstract
AIMS Compensatory mechanisms in heart failure (HF) are triggered to maintain adequate cardiac output. Among them, hyperactivation of the sympathetic nervous system (SNS) is one of the main ones and carries a worse prognosis. The pupillary reflex depends on the SNS, and we can evaluate it through pupillometry. The aim of the study was to compare the differences in pupillary reflex between patients with acute HF and controls and to analyse whether these differences in pupillary reflex may offer a new and easy prognostic factor in such patients. METHODS AND RESULTS We prospectively and consecutively included 107 patients admitted with decompensated HF. Quantitative pupillometry was performed with the NeuroOptics pupillometry during the first 24 h after admission and prior to discharge. The results were compared with those of a group of 100 healthy volunteers who also underwent pupillometry. The maximum baseline pupil size (MBPS) and the minimum pupil diameter (MPD) were measured. Patients with decompensated HF have a higher MBPS (3.64 ± 0.81) and higher MPD (2.60 ± 0.58) than HF patients at discharge and in the control group (P-value = 0.01 and 0.01, respectively). Also, HF patients presented an improvement in pupillometric values at discharge [MBPS (3.47 ± 0.79) and MPD (2.51 ± 0.58)] and showed no differences compared with the control group [MBPS (3.34 ± 0.82) and MPD (2.40 ± 0.53)] (P-value = 0.19 and 0.14, respectively). In addition, MBPS provides a good independent predictor of in-hospital and 1 month mortality in patients admitted with HF. Six patients (5.61%) died during hospital admission, and 11 patients (10.2%) died in the first month after discharge. Also, four patients (3.74%) were readmitted within 1 month of discharge. The receiver operating characteristic (ROC) curve for predicting in-hospital mortality through MBPS was 0.823. No patient with an MBPS < 3.7 mm died. The ROC curve for predicting combined mortality or readmission within the first month for MBPS was 0.698. CONCLUSIONS Pupillometry may be a new, non-invasive, and simple tool to determine the status of SNS, help in the prognostic stratification of acute HF patients, and improve therapeutic management.
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Affiliation(s)
- Margarita Zamorano
- Department of Ophthalmology, University Hospital of Guadalajara, Calle Donante de Sangre, Guadalajara, Spain
| | | | - Eduardo González
- Department of Cardiology, Ramón y Cajal University Hospital, Madrid, Spain
| | - Isabel Rayo
- Department of Cardiology, Ramón y Cajal University Hospital, Madrid, Spain
| | - Sara Fernández
- Department of Cardiology, Ramón y Cajal University Hospital, Madrid, Spain
| | - Miguel Castillo
- Department of Cardiology, Ramón y Cajal University Hospital, Madrid, Spain
| | - Qiheng Zhou
- Department of Cardiology, Ramón y Cajal University Hospital, Madrid, Spain
| | - Pedro de la Villa
- Physiology Unit, Department of Systems Biology, School of Medicine, University of Alcalá, Madrid, Spain
- Visual Neurophysiology Group-IRYCIS, Madrid, Spain
| | - Jose Luis Zamorano
- Department of Cardiology, Ramón y Cajal University Hospital, Madrid, Spain
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Cisterna-García A, Beric A, Ali M, Pardo JA, Chen HH, Fernandez MV, Norton J, Gentsch J, Bergmann K, Budde J, Perlmutter JS, Morris JC, Cruchaga C, Botia JA, Ibanez L. Cell-free RNA signatures predict Alzheimer's disease. iScience 2023; 26:108534. [PMID: 38089583 PMCID: PMC10711471 DOI: 10.1016/j.isci.2023.108534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/09/2023] [Accepted: 11/20/2023] [Indexed: 02/01/2024] Open
Abstract
There is a need for affordable, scalable, and specific blood-based biomarkers for Alzheimer's disease that can be applied to a population level. We have developed and validated disease-specific cell-free transcriptomic blood-based biomarkers composed by a scalable number of transcripts that capture AD pathobiology even in the presymptomatic stages of the disease. Accuracies are in the range of the current CSF and plasma biomarkers, and specificities are high against other neurodegenerative diseases.
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Affiliation(s)
- Alejandro Cisterna-García
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Aleksandra Beric
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Muhammad Ali
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Jose Adrian Pardo
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
| | - Hsiang-Han Chen
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Maria Victoria Fernandez
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Joanne Norton
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
| | - Jen Gentsch
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
| | - Kristy Bergmann
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - John Budde
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Joel S. Perlmutter
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Radiology, Neuroscience, Physical Therapy, and Occupational Therapy, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - John C. Morris
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Pathology and Immunology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Genetics, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Juan A. Botia
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
| | - Laura Ibanez
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
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6
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Joshi D, Nyhoff LE, Zarnitsyna VI, Moreno A, Manning K, Linderman S, Burrell AR, Stephens K, Norwood C, Mantus G, Ahmed R, Anderson EJ, Staat MA, Suthar MS, Wrammert J. Infants and young children generate more durable antibody responses to SARS-CoV-2 infection than adults. iScience 2023; 26:107967. [PMID: 37822504 PMCID: PMC10562792 DOI: 10.1016/j.isci.2023.107967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/25/2023] [Accepted: 09/15/2023] [Indexed: 10/13/2023] Open
Abstract
As SARS-CoV-2 becomes endemic, it is critical to understand immunity following early-life infection. We evaluated humoral responses to SARS-CoV-2 in 23 infants/young children. Antibody responses to SARS-CoV-2 spike antigens peaked approximately 30 days after infection and were maintained up to 500 days with little apparent decay. While the magnitude of humoral responses was similar to an adult cohort recovered from mild/moderate COVID-19, both binding and neutralization titers to WT SARS-CoV-2 were more durable in infants/young children, with spike and RBD IgG antibody half-life nearly 4X as long as in adults. IgG subtype analysis revealed that while IgG1 formed the majority of the response in both groups, IgG3 was more common in adults and IgG2 in infants/young children. These findings raise important questions regarding differential regulation of humoral immunity in infants/young children and adults and could have broad implications for the timing of vaccination and booster strategies in this age group.
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Affiliation(s)
- Devyani Joshi
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University School of Medicine, Atlanta, GA, USA
- Centers for Childhood Infections and Vaccines, Children’s Healthcare of Atlanta, Emory University Department of Pediatrics Department of Medicine, Atlanta, GA, USA
| | - Lindsay E. Nyhoff
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University School of Medicine, Atlanta, GA, USA
- Centers for Childhood Infections and Vaccines, Children’s Healthcare of Atlanta, Emory University Department of Pediatrics Department of Medicine, Atlanta, GA, USA
| | | | - Alberto Moreno
- Emory Vaccine Center, Emory University School of Medicine, Atlanta, GA, USA
- Emory National Primate Research Center, Atlanta, GA, USA
- Department of Medicine, Emory University, School of Medicine, Atlanta, GA, USA
| | - Kelly Manning
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University School of Medicine, Atlanta, GA, USA
- Emory National Primate Research Center, Atlanta, GA, USA
| | - Susanne Linderman
- Emory Vaccine Center, Emory University School of Medicine, Atlanta, GA, USA
- Department of Microbiology and Immunology, Emory University, Atlanta, GA, USA
| | - Allison R. Burrell
- Division of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Environmental and Public Health Sciences, Division of Epidemiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kathy Stephens
- Centers for Childhood Infections and Vaccines, Children’s Healthcare of Atlanta, Emory University Department of Pediatrics Department of Medicine, Atlanta, GA, USA
| | - Carson Norwood
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University School of Medicine, Atlanta, GA, USA
- Centers for Childhood Infections and Vaccines, Children’s Healthcare of Atlanta, Emory University Department of Pediatrics Department of Medicine, Atlanta, GA, USA
| | - Grace Mantus
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University School of Medicine, Atlanta, GA, USA
- Centers for Childhood Infections and Vaccines, Children’s Healthcare of Atlanta, Emory University Department of Pediatrics Department of Medicine, Atlanta, GA, USA
| | - Rafi Ahmed
- Emory Vaccine Center, Emory University School of Medicine, Atlanta, GA, USA
- Department of Microbiology and Immunology, Emory University, Atlanta, GA, USA
| | - Evan J. Anderson
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA, USA
- Centers for Childhood Infections and Vaccines, Children’s Healthcare of Atlanta, Emory University Department of Pediatrics Department of Medicine, Atlanta, GA, USA
- Department of Medicine, Emory University, School of Medicine, Atlanta, GA, USA
| | - Mary A. Staat
- Division of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Mehul S. Suthar
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University School of Medicine, Atlanta, GA, USA
- Centers for Childhood Infections and Vaccines, Children’s Healthcare of Atlanta, Emory University Department of Pediatrics Department of Medicine, Atlanta, GA, USA
- Department of Microbiology and Immunology, Emory University, Atlanta, GA, USA
- Emory National Primate Research Center, Atlanta, GA, USA
| | - Jens Wrammert
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA, USA
- Emory Vaccine Center, Emory University School of Medicine, Atlanta, GA, USA
- Centers for Childhood Infections and Vaccines, Children’s Healthcare of Atlanta, Emory University Department of Pediatrics Department of Medicine, Atlanta, GA, USA
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7
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Cai W, Huang J, Li J, Lin L, Xi L, Zhang J, Li X, Zhou Z, Tang Y, Liu H, Zhang J, Lu S. Epidemiology and Clinical Findings of Tinea Capitis: A 23-Year Retrospective, Single-Center Study in Guangzhou, China. Mycopathologia 2023; 188:507-514. [PMID: 37097433 DOI: 10.1007/s11046-023-00730-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 03/26/2023] [Indexed: 04/26/2023]
Abstract
BACKGROUND Tinea capitis (TC) is one of the most common public health concerns due to its high incidence in preadolescent children. The epidemiological and clinical characteristics of TC vary depending on geographical regions and have changed over the past decades. OBJECTIVES This study aimed to identify epidemiological changes in recent decades, including the prevalence and clinical and mycological characteristics of TC in southern China. METHODS We conducted a retrospective study at the Department of Dermatology of Sun Yat-sen Memorial Hospital, Sun Yat-sen University from June 1997 to August 2020. RESULTS We retrospectively evaluated 401 TC patients. Of these, 157 patients (39.2%) were preschool children aged 3-7 years and the majority were males. However, the prevalence in children under 3 years old is on the rise (from 19.67% during 1997-2010 to 32.49% during 2011-2020). Grey patches were the most common clinical pattern and mostly occurred in children (71.3%), while the proportion of grey patches and black dots was almost the same in adults. Although Microsporum canis (76%) was the most common causative organism, the number of the T. mentagrophytes complex, as a zoophilic fungus, has increased more than that of the anthropophilic fungi T. violaceum in the recent decade. There was a significant difference in the portion of sex among different age groups, and the gender difference was more notable in the adult group, which showed that the TC prevalence in females was 9 times that in males. In males, M. canis and the T. mentagrophytes complex were the two most common causative fungi, while M. canis and T. violaceum were the two most common causative fungi in females. Additionally, approximately 61.7% of black dot TCs occurred in females. For treatment, oral antifungal therapeutics were widely used in most patients with different treatment durations, although without a significant difference in efficacy (P = 0.106). CONCLUSIONS In the last decade, the prevalence of TC in children under 3 years old increased, and boys dramatically outnumbered girls. In adults, the TC prevalence in females is nine times that in males, and most TCs occurring in females are presented as black dots. Moreover, the zoophilic T. mentagrophytes complex has replaced T. violaceum and is now the second most prevalent organism, followed by M. canis of TC.
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Affiliation(s)
- Wenying Cai
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Rd, Guangzhou, 510120, China
| | - Junhao Huang
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Rd, Guangzhou, 510120, China
| | - Jiahao Li
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Rd, Guangzhou, 510120, China
| | - Li Lin
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Rd, Guangzhou, 510120, China
| | - Liyan Xi
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Rd, Guangzhou, 510120, China
- Dermatology Hospital of Southern Medical University, Guangzhou, China
| | - Junmin Zhang
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Rd, Guangzhou, 510120, China
| | - Xiqing Li
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Rd, Guangzhou, 510120, China
| | - Zhen Zhou
- Guangdong Women and Children Hospital, Guangzhou, China
| | - Ying Tang
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Rd, Guangzhou, 510120, China
| | - Hsingmei Liu
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Rd, Guangzhou, 510120, China
| | - Jing Zhang
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Rd, Guangzhou, 510120, China.
| | - Sha Lu
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Rd, Guangzhou, 510120, China.
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8
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Kitsios GD, Nguyen VD, Sayed K, Al-Yousif N, Schaefer C, Shah FA, Bain W, Yang H, Fitch A, Li K, Wang X, Qin S, Gentry H, Zhang Y, Varon J, Arciniegas Rubio A, Englert JA, Baron RM, Lee JS, Methé B, Benos PV, Morris A, McVerry BJ. The upper and lower respiratory tract microbiome in severe aspiration pneumonia. iScience 2023; 26:106832. [PMID: 37250794 PMCID: PMC10212968 DOI: 10.1016/j.isci.2023.106832] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 01/24/2023] [Accepted: 05/03/2023] [Indexed: 05/31/2023] Open
Abstract
Uncertainty persists whether anaerobic bacteria represent important pathogens in aspiration pneumonia. In a nested case-control study of mechanically ventilated patients classified as macro-aspiration pneumonia (MAsP, n = 56), non-macro-aspiration pneumonia (NonMAsP, n = 91), and uninfected controls (n = 11), we profiled upper (URT) and lower respiratory tract (LRT) microbiota with bacterial 16S rRNA gene sequencing, measured plasma host-response biomarkers, analyzed bacterial communities by diversity and oxygen requirements, and performed unsupervised clustering with Dirichlet Multinomial Models (DMM). MAsP and NonMAsP patients had indistinguishable microbiota profiles by alpha diversity and oxygen requirements with similar host-response profiles and 60-day survival. Unsupervised DMM clusters revealed distinct bacterial clusters in the URT and LRT, with low-diversity clusters enriched for facultative anaerobes and typical pathogens, associated with higher plasma levels of SPD and sCD14 and worse 60-day survival. The predictive inter-patient variability in these bacterial profiles highlights the importance of microbiome study in patient sub-phenotyping and precision medicine approaches for severe pneumonia.
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Affiliation(s)
- Georgios D. Kitsios
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA15213, USA
- University of Pittsburgh School of Medicine, Pittsburgh, PA15213, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA15213, USA
- Acute Lung Injury Center for Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA15213, USA
| | - Vi D. Nguyen
- University of Pittsburgh School of Medicine, Pittsburgh, PA15213, USA
- University of California Los Angeles, Department of Medicine, Internal Medicine Residency Program, Los Angeles, CA90095, USA
| | - Khaled Sayed
- University of PittsburghDepartment of Computational & Systems Biology, Pittsburgh, PA15213, USA
- Department of Epidemiology, University of Florida, Gainesville, FL32611, USA
| | - Nameer Al-Yousif
- University of Pittsburgh Medical Center Mercy, Department of Medicine, Pittsburgh, PA15219, USA
| | - Caitlin Schaefer
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA15213, USA
- Acute Lung Injury Center for Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA15213, USA
| | - Faraaz A. Shah
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA15213, USA
- University of Pittsburgh School of Medicine, Pittsburgh, PA15213, USA
- Acute Lung Injury Center for Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA15213, USA
- Veteran’s Affairs Pittsburgh Healthcare System, Pittsburgh, PA15240, USA
| | - William Bain
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA15213, USA
- University of Pittsburgh School of Medicine, Pittsburgh, PA15213, USA
- Acute Lung Injury Center for Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA15213, USA
- Veteran’s Affairs Pittsburgh Healthcare System, Pittsburgh, PA15240, USA
| | - Haopu Yang
- University of Pittsburgh School of Medicine, Pittsburgh, PA15213, USA
- School of Medicine, Tsinghua University, Beijing, China
| | - Adam Fitch
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA15213, USA
| | - Kelvin Li
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA15213, USA
| | - Xiaohong Wang
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA15213, USA
| | - Shulin Qin
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA15213, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA15213, USA
| | - Heather Gentry
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA15213, USA
| | - Yingze Zhang
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA15213, USA
- Acute Lung Injury Center for Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA15213, USA
| | - Jack Varon
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA02115, USA
| | - Antonio Arciniegas Rubio
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA02115, USA
| | - Joshua A. Englert
- Division of Pulmonary, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, OH43210, USA
| | - Rebecca M. Baron
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA02115, USA
| | - Janet S. Lee
- Division of Pulmonary and Critical Care Medicine, Washington University School of Medicine, St. Louis, MO63110, USA
| | - Barbara Methé
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA15213, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA15213, USA
| | - Panayiotis V. Benos
- Department of Epidemiology, University of Florida, Gainesville, FL32611, USA
| | - Alison Morris
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA15213, USA
- University of Pittsburgh School of Medicine, Pittsburgh, PA15213, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA15213, USA
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA15213, USA
| | - Bryan J. McVerry
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA15213, USA
- University of Pittsburgh School of Medicine, Pittsburgh, PA15213, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA15213, USA
- Acute Lung Injury Center for Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA15213, USA
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9
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Weckman AM, Elphinstone RE, Ssenkusu JM, Tran V, Zhong K, Madanitsa M, Khairallah C, Kalilani-Phiri L, Mwapasa V, Conroy AL, Ter Kuile FO, McDonald CR, Kain KC. Sequential disruptions to inflammatory and angiogenic pathways and risk of spontaneous preterm birth in Malawian women. iScience 2023; 26:106912. [PMID: 37332611 PMCID: PMC10275952 DOI: 10.1016/j.isci.2023.106912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 11/11/2022] [Accepted: 05/12/2023] [Indexed: 06/20/2023] Open
Abstract
Preterm birth is a leading cause of death in children under five years of age. We hypothesized that sequential disruptions to inflammatory and angiogenic pathways during pregnancy increase the risk of placental insufficiency and spontaneous preterm labor and delivery. We conducted a secondary analysis of inflammatory and angiogenic analytes measured in plasma samples collected across pregnancy from 1462 Malawian women. Women with concentrations of the inflammatory markers sTNFR2, CHI3L1, and IL18BP in the highest quartile before 24 weeks gestation and women with anti-angiogenic factors sEndoglin and sFlt-1/PlGF ratio in the highest quartile at 28-33 weeks gestation had an increased relative risk of preterm birth. Mediation analysis further supported a potential causal link between early inflammation, subsequent angiogenic dysregulation detrimental to placental vascular development, and earlier gestational age at delivery. Interventions designed to reduce the burden of preterm birth may need to be implemented before 24 weeks of gestation.
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Affiliation(s)
- Andrea M. Weckman
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- SAR Laboratories, Sandra Rotman Centre for Global Health, University Health Network-Toronto General Hospital, Toronto, ON, Canada
| | - Robyn E. Elphinstone
- SAR Laboratories, Sandra Rotman Centre for Global Health, University Health Network-Toronto General Hospital, Toronto, ON, Canada
| | - John M. Ssenkusu
- Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda
| | - Vanessa Tran
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- SAR Laboratories, Sandra Rotman Centre for Global Health, University Health Network-Toronto General Hospital, Toronto, ON, Canada
| | - Kathleen Zhong
- SAR Laboratories, Sandra Rotman Centre for Global Health, University Health Network-Toronto General Hospital, Toronto, ON, Canada
| | | | - Carole Khairallah
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | | | - Victor Mwapasa
- College of Medicine, University of Malawi, Blantyre, Malawi
| | - Andrea L. Conroy
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Feiko O. Ter Kuile
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Chloe R. McDonald
- SAR Laboratories, Sandra Rotman Centre for Global Health, University Health Network-Toronto General Hospital, Toronto, ON, Canada
| | - Kevin C. Kain
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- SAR Laboratories, Sandra Rotman Centre for Global Health, University Health Network-Toronto General Hospital, Toronto, ON, Canada
- Tropical Disease Unit, Division of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto General Research Institute, University Health Network-Toronto General Hospital, Toronto, ON, Canada
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10
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Gong C, Zhang W, Sun Y, Shou J, Jiang Z, Liu T, Wang S, Liu J, Sun Y, Zhou A. Exploration of the immunogenetic landscape of hyperprogressive disease after combined immunotherapy in cancer patients. iScience 2023; 26:106720. [PMID: 37255657 PMCID: PMC10225883 DOI: 10.1016/j.isci.2023.106720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/31/2023] [Accepted: 04/19/2023] [Indexed: 06/01/2023] Open
Abstract
The immune-genetic changes that occur in cancer patients experiencing hyperprogressive disease (HPD) during combined immunotherapy are unclear. In this study, HPD patients with pre- and post-HPD samples and non-HPD patients with solid tumors were molecularly characterized by genetic and tumor immune microenvironment (TiME) analyses of paired samples by whole-exome sequencing, RNA sequencing, and multiplex immunofluorescence. The genetic analysis of paired samples showed that almost all the tumor driver gene mutations were preserved between pre- and post-HPD tumors. HPD patients had higher frequencies of mutations in TP53 and CNN2, and a significantly higher mutant-allele tumor heterogeneity than non-HPD patients. Tumor IL-6 mRNA was upregulated in post-HPD samples vs. pre-HPD, accompanied by a potential immune suppressive TiME with an elevated M2/M1 ratio. Salvage treatment with irinotecan plus bevacizumab was effective in one HPD patient, who experienced prolonged survival. These genetic features and TiME characteristics might help identify the features of HPD after immunotherapy.
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Affiliation(s)
- Caifeng Gong
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Wen Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yongkun Sun
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jianzhong Shou
- Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Zhichao Jiang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Tianyi Liu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Shengzhou Wang
- GenomiCare Biotechnology Co. Ltd, Shanghai 201203, China
| | - Jun Liu
- GenomiCare Biotechnology Co. Ltd, Shanghai 201203, China
| | - Ying Sun
- GenomiCare Biotechnology Co. Ltd, Shanghai 201203, China
| | - Aiping Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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11
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Dwivedi OP, Barreiro K, Käräjämäki A, Valo E, Giri AK, Prasad RB, Roy RD, Thorn LM, Rannikko A, Holthöfer H, Gooding KM, Sourbron S, Delic D, Gomez MF, Groop PH, Tuomi T, Forsblom C, Groop L, Puhka M. Genome-wide mRNA profiling in urinary extracellular vesicles reveals stress gene signature for diabetic kidney disease. iScience 2023; 26:106686. [PMID: 37216114 PMCID: PMC10193229 DOI: 10.1016/j.isci.2023.106686] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 05/09/2022] [Revised: 11/19/2022] [Accepted: 04/13/2023] [Indexed: 05/24/2023] Open
Abstract
Urinary extracellular vesicles (uEV) are a largely unexplored source of kidney-derived mRNAs with potential to serve as a liquid kidney biopsy. We assessed ∼200 uEV mRNA samples from clinical studies by genome-wide sequencing to discover mechanisms and candidate biomarkers of diabetic kidney disease (DKD) in Type 1 diabetes (T1D) with replication in Type 1 and 2 diabetes. Sequencing reproducibly showed >10,000 mRNAs with similarity to kidney transcriptome. T1D DKD groups showed 13 upregulated genes prevalently expressed in proximal tubules, correlated with hyperglycemia and involved in cellular/oxidative stress homeostasis. We used six of them (GPX3, NOX4, MSRB, MSRA, HRSP12, and CRYAB) to construct a transcriptional "stress score" that reflected long-term decline of kidney function and could even identify normoalbuminuric individuals showing early decline. We thus provide workflow and web resource for studying uEV transcriptomes in clinical urine samples and stress-linked DKD markers as potential early non-invasive biomarkers or drug targets.
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Affiliation(s)
- Om Prakash Dwivedi
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Karina Barreiro
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, EV and HiPrep Core, University of Helsinki, Helsinki, Finland
| | - Annemari Käräjämäki
- Department of Primary Health Care, Vaasa Central Hospital, Hietalahdenkatu 2-4, 65130 Vaasa, Finland
- Diabetes Center, Vaasa Health Care Center, Sepänkyläntie 14-16, 65100 Vaasa, Finland
| | - Erkka Valo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Anil K. Giri
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Foundation for the Finnish Cancer Institute (FCI), Tukholmankatu 8, 00290 Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
- HiLIFE-Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Rashmi B. Prasad
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, SE 214 28 Malmö, Sweden
| | - Rishi Das Roy
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Lena M. Thorn
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Antti Rannikko
- Research Program in Systems Oncology, Faculty of Medicine, 00014 University of Helsinki, Helsinki, Finland
- Department of Urology, 00014 University of Helsinki, and Helsinki University Hospital, 00100 Helsinki, Finland
| | - Harry Holthöfer
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Medicine, University Medical Center, Hamburg-Eppendorf, Hamburg, Germany
| | - Kim M. Gooding
- Diabetes and Vascular Research Centre, National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
| | - Steven Sourbron
- Department of Imaging, Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Denis Delic
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
- Fifth Department of Medicine, Nephrology/Endocrinology/Rheumatology/Pneumology, University Medical Centre Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Maria F. Gomez
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, SE 214 28 Malmö, Sweden
| | | | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Diabetes, Central Clinical School Monash University, Melbourne, VIC, Australia
| | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, SE 214 28 Malmö, Sweden
- Endocrinology, Abdominal Centre, Helsinki University Hospital, Helsinki, Finland
| | - Carol Forsblom
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Leif Groop
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, SE 214 28 Malmö, Sweden
| | - Maija Puhka
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, EV and HiPrep Core, University of Helsinki, Helsinki, Finland
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12
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Cheang I, Zhu X, Yue X, Tang Y, Gao Y, Lu X, Shi S, Liao S, Yao W, Zhou Y, Zhang H, Zhu Y, Xu Y, Li X. Prognostic value of ventricle epicardial fat volume by cardiovascular magnetic resonance in chronic heart failure. iScience 2023; 26:106755. [PMID: 37216103 PMCID: PMC10196556 DOI: 10.1016/j.isci.2023.106755] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/21/2023] [Accepted: 04/23/2023] [Indexed: 05/24/2023] Open
Abstract
The purpose of this study is to explore the prognostic values of ventricle epicardial fat volume (EFV) calculated by cardiac magnetic resonance in patients with chronic heart failure (CHF). A total of 516 patients with CHF (left ventricular ejection fraction ≤ 50%) were recruited, and 136 (26.4%) of whom experienced major adverse cardiovascular events (MACE) within median follow-up of 24 months. The target marker-EFV was found to be associated with MACE in both univariate and multivariable analysis adjusted for various clinical variables (p < 0.01), regardless as a continuous variable and categorized by X-tile program. EFV also showed promising predictive ability, with an area under the curve of 0.612, 0.618, and 0.687 for the prediction of 1-year, 2-year, and 3-year MACE, respectively. In conclusion, EFV could be a useful prognostic marker for CHF patients, helping to identify individuals at greater risk of MACE.
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Affiliation(s)
- Iokfai Cheang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Xu Zhu
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Xin Yue
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Yuan Tang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Yujie Gao
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Xinyi Lu
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Shi Shi
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Shengen Liao
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Wenming Yao
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Yanli Zhou
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Haifeng Zhang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
- Department of Cardiology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215002, China
| | - Yinsu Zhu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Yi Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - Xinli Li
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
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13
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Afrasiabi V, Ghojoghi R, Hosseini SY, Sarvari J, Nekooei F, Joharinia N, Hadian S, Gholami M, Nejabat M. The molecular epidemiology, genotyping, and clinical manifestation of prevalent adenovirus infection during the epidemic keratoconjunctivitis, South of Iran. Eur J Med Res 2023; 28:108. [PMID: 36859343 PMCID: PMC9979477 DOI: 10.1186/s40001-022-00928-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 12/02/2022] [Indexed: 03/03/2023] Open
Abstract
PURPOSE Adenoviral-mediated keratoconjunctivitis is among the emergency diseases of ophthalmology with long-term sequels. The role of adenovirus infection, ocular-related genotypes, and association with ocular symptoms need to be investigated for epidemiological as well as clinical purposes. METHODS The affected patients from two close keratoconjunctivitis epidemics were included in the study. The swab samples were taken from patients; the total DNA was extracted and then used as a template for in-house Real-time PCR. Besides, partial Hexon genes of 11 adenovirus positive samples were amplified and submitted to sanger sequencing. Moreover, they were finally evaluated by phylogenetic analysis. RESULTS Of 153 patients, 92 (60.1%) were males and 47 cases (30.7%) had a history of eye infection in the family or colleagues. Real-time PCR tests of 126 samples (82.4%) were positive for adenovirus, and all eleven cases that underwent sequencing analysis were determined to be group 8 (HAdV-D8). Adenovirus infection has a significant relationship with infection among family or colleagues (p = 0.048), membrane formation (p = 0.047), conjunctival bleeding (p = 0.046), tearing, and pain(p < 0.05). CONCLUSIONS The results indicated that Adenovirus is the major cause of keratoconjunctivitis, and HAdV-D8 was the most common genotype in the area. There were some clinical manifestations associated with Adenovirus infection of the conjunctiva.
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Affiliation(s)
- Vahidreza Afrasiabi
- grid.412571.40000 0000 8819 4698Poostchi Ophtalmalogy Research Center, Department of Ophtalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Rozita Ghojoghi
- grid.412571.40000 0000 8819 4698Department of Bacteriology & Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyed Younes Hosseini
- grid.412571.40000 0000 8819 4698Department of Bacteriology & Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Jamal Sarvari
- grid.412571.40000 0000 8819 4698Department of Bacteriology & Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran ,grid.412571.40000 0000 8819 4698Gastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Fatemeh Nekooei
- grid.412571.40000 0000 8819 4698Department of Bacteriology & Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Negar Joharinia
- grid.412571.40000 0000 8819 4698Department of Bacteriology & Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sahar Hadian
- grid.412571.40000 0000 8819 4698Poostchi Ophtalmalogy Research Center, Department of Ophtalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Gholami
- grid.412571.40000 0000 8819 4698Poostchi Ophtalmalogy Research Center, Department of Ophtalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mahmood Nejabat
- Poostchi Ophtalmalogy Research Center, Department of Ophtalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
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14
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Zeng L, Liu XY, Miao L, Chen K, Xu H, Qin LJ, Li M, Liu K, Feng J, Wang HY. Risk model based on minichromosome maintenance 2 using objective assessment for predicting survival of neuroblastoma. iScience 2023; 26:105974. [PMID: 36756367 PMCID: PMC9900501 DOI: 10.1016/j.isci.2023.105974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 10/07/2022] [Accepted: 01/10/2023] [Indexed: 01/15/2023] Open
Abstract
Aberrant minichromosome maintenance (MCM) expression is associated with tumorigenesis. Here, we performed immunohistochemistry integrated with digital pathology to identify MCM2/5/6 expression in 130 neuroblastoma patients. A risk score was established using least absolute shrinkage and selection operator that predicts outcomes according to MCM2 expression, age, and the International Neuroblastoma Staging System in the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) dataset (n = 150), where the patients with high risk had significantly worse prognosis that was validated in a hospital-based cohort (n = 130). After multivariable adjustment, the risk model remained an independent factor for survival in the TARGET cohort (overall survival [OS]: hazard ratio [HR] 2.3, 95% confidence interval [CI] 1.4-4.0; event-free survival [EFS]: HR 1.8, 95% CI 1.1-3.1) and for OS in the validation cohort (HR 8.3, 95% CI 1.6-44.5). The ESTIMATE indicates that the risk model is negatively correlated with low ESTIMATE and stromal scores. These findings show the additive nature of this score, fostering its future implementation with new prognostic variables.
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Affiliation(s)
- Liang Zeng
- Department of Pathology, Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, National Children’s Medical Center for South Central Region, No. 9 Jinsui Road, Guangzhou 510623, People’s Republic of China,Corresponding author
| | - Xiao-Yun Liu
- Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People’s Republic of China
| | - Lei Miao
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, National Children’s Medical Center for South Central Region, Guangzhou 510623, People’s Republic of China
| | - Kai Chen
- Department of Pathology, Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, National Children’s Medical Center for South Central Region, No. 9 Jinsui Road, Guangzhou 510623, People’s Republic of China
| | - Hui Xu
- Department of Pathology, Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, National Children’s Medical Center for South Central Region, No. 9 Jinsui Road, Guangzhou 510623, People’s Republic of China
| | - Liang-Jun Qin
- Department of Pathology, Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, National Children’s Medical Center for South Central Region, No. 9 Jinsui Road, Guangzhou 510623, People’s Republic of China
| | - Meng Li
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, National Children’s Medical Center for South Central Region, Guangzhou 510623, People’s Republic of China
| | - Kai Liu
- Cells Vision (Guangzhou) Medical Technology Inc., Guangzhou 510320, People’s Republic of China
| | - Jiahao Feng
- Cells Vision (Guangzhou) Medical Technology Inc., Guangzhou 510320, People’s Republic of China
| | - Hai-Yun Wang
- Department of Pathology, Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, National Children’s Medical Center for South Central Region, No. 9 Jinsui Road, Guangzhou 510623, People’s Republic of China,Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, National Children’s Medical Center for South Central Region, Guangzhou 510623, People’s Republic of China,Corresponding author
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15
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Turcinovic J, Kuhfeldt K, Sullivan M, Landaverde L, Platt JT, Doucette-Stamm L, Hanage WP, Hamer DH, Klapperich C, Landsberg HE, Connor JH. Linking contact tracing with genomic surveillance to deconvolute SARS-CoV-2 transmission on a university campus. iScience 2022; 25:105337. [PMID: 36246573 PMCID: PMC9554197 DOI: 10.1016/j.isci.2022.105337] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/12/2022] [Accepted: 10/10/2022] [Indexed: 11/26/2022] Open
Abstract
Contact tracing and genomic data, approaches often used separately, have both been important tools in understanding the nature of SARS-CoV-2 transmission. Linked analysis of contact tracing and sequence relatedness of SARS-CoV-2 genomes from a regularly sampled university environment were used to build a multilevel transmission tracing and confirmation system to monitor and understand transmission on campus. Our investigation of an 18-person cluster stemming from an athletic team highlighted the importance of linking contact tracing and genomic analysis. Through these findings, it is suggestive that certain safety protocols in the athletic practice setting reduced transmission. The linking of traditional contact tracing with rapid-return genomic information is an effective approach for differentiating between multiple plausible transmission scenarios and informing subsequent public health protocols to limit disease spread in a university environment. Contact tracing and sequencing provide more information than either approach alone Primary exposures in an athletic group occurred outside structured athletic events Genomic and contact tracing data can inform effective public health decisions
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Affiliation(s)
- Jacquelyn Turcinovic
- Department of Microbiology, Boston University School of Medicine, Boston, MA 02118, USA,National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA 02118, USA,Program in Bioinformatics, Boston University, Boston, MA 02215, USA
| | - Kayla Kuhfeldt
- Student Health Services, Boston University, Boston, MA 02215, USA
| | - Madison Sullivan
- Student Health Services, Boston University, Boston, MA 02215, USA
| | - Lena Landaverde
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA,Precision Diagnostics Center, Boston University, Boston, MA 02215, USA,BU Clinical Testing Laboratory, Research Department, Boston University, Boston, MA 02215, USA
| | - Judy T. Platt
- Student Health Services, Boston University, Boston, MA 02215, USA
| | - Lynn Doucette-Stamm
- BU Clinical Testing Laboratory, Research Department, Boston University, Boston, MA 02215, USA
| | - William P. Hanage
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Davidson H. Hamer
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA 02118, USA,Precision Diagnostics Center, Boston University, Boston, MA 02215, USA,Department of Global Health, Boston University School of Public Health, Boston, MA 02118, USA,Section of Infectious Disease, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA,Center for Emerging Infectious Disease Policy and Research, Boston University, Boston, MA 02118, USA
| | - Catherine Klapperich
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA,Precision Diagnostics Center, Boston University, Boston, MA 02215, USA
| | | | - John H. Connor
- Department of Microbiology, Boston University School of Medicine, Boston, MA 02118, USA,National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA 02118, USA,Program in Bioinformatics, Boston University, Boston, MA 02215, USA,Center for Emerging Infectious Disease Policy and Research, Boston University, Boston, MA 02118, USA,Corresponding author
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16
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Ohyama Y, Yamaguchi H, Ogata S, Chiurlia S, Cox SN, Kouri NM, Stangou MJ, Nakajima K, Hayashi H, Inaguma D, Hasegawa M, Yuzawa Y, Tsuboi N, Renfrow MB, Novak J, Papagianni AA, Schena FP, Takahashi K. Racial heterogeneity of IgA1 hinge-region O-glycoforms in patients with IgA nephropathy. iScience 2022; 25:105223. [PMID: 36277451 PMCID: PMC9583103 DOI: 10.1016/j.isci.2022.105223] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 08/22/2022] [Accepted: 09/23/2022] [Indexed: 11/23/2022] Open
Abstract
Galactose (Gal)-deficient IgA1 (Gd-IgA1) is involved in IgA nephropathy (IgAN) pathogenesis. To reflect racial differences in clinical characteristics, we assessed disease- and race-specific heterogeneity in the O-glycosylation of the IgA1 hinge region (HR). We determined serum Gd-IgA1 levels in Caucasians (healthy controls [HCs], n = 31; IgAN patients, n = 63) and Asians (HCs, n = 20; IgAN patients, n = 60) and analyzed profiles of serum IgA1 HR O-glycoforms. Elevated serum Gd-IgA1 levels and reduced number of Gal residues per HR were observed in Caucasians. Reduced number of N-acetylgalactosamine (GalNAc) residues per HR and elevated relative abundance of IgA1 with three HR O-glycans were common features in IgAN patients; these features were associated with elevated blood pressure and reduced renal function. We speculate that the mechanisms underlying the reduced GalNAc content in IgA1 HR may be relevant to IgAN pathogenesis.
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Affiliation(s)
- Yukako Ohyama
- Department of Biomedical Molecular Sciences, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
- Department of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
| | - Hisateru Yamaguchi
- Department of Nursing, Yokkaichi Nursing and Medical Care University, Yokkaichi, Mie 512-8045, Japan
| | - Soshiro Ogata
- Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Osaka 564-8565, Japan
| | - Samantha Chiurlia
- University of Bari and Schena Foundation, Valenzano, Bari 70010, Italy
| | - Sharon N. Cox
- University of Bari and Schena Foundation, Valenzano, Bari 70010, Italy
| | - Nikoletta-Maria Kouri
- Department of Nephrology, Aristotle University of Thessaloniki, Thessaloniki, 54642, Greece
| | - Maria J. Stangou
- Department of Nephrology, Aristotle University of Thessaloniki, Thessaloniki, 54642, Greece
| | - Kazuki Nakajima
- Institute for Glyco-core Research, Gifu University, Gifu, Gifu 501-1193, Japan
| | - Hiroki Hayashi
- Department of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
| | - Daijo Inaguma
- Department of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
| | - Midori Hasegawa
- Department of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
| | - Yukio Yuzawa
- Department of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
| | - Naotake Tsuboi
- Department of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
| | - Matthew B. Renfrow
- Departments of Biochemistry and Molecular Genetics and Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Jan Novak
- Departments of Biochemistry and Molecular Genetics and Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | | | | | - Kazuo Takahashi
- Department of Biomedical Molecular Sciences, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
- Department of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
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17
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Buyukozkan M, Alvarez-Mulett S, Racanelli AC, Schmidt F, Batra R, Hoffman KL, Sarwath H, Engelke R, Gomez-Escobar L, Simmons W, Benedetti E, Chetnik K, Zhang G, Schenck E, Suhre K, Choi JJ, Zhao Z, Racine-Brzostek S, Yang HS, Choi ME, Choi AM, Cho SJ, Krumsiek J. Integrative metabolomic and proteomic signatures define clinical outcomes in severe COVID-19. iScience 2022; 25:104612. [PMID: 35756895 PMCID: PMC9212983 DOI: 10.1016/j.isci.2022.104612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 02/05/2022] [Accepted: 06/09/2022] [Indexed: 01/08/2023] Open
Abstract
The coronavirus disease-19 (COVID-19) pandemic has ravaged global healthcare with previously unseen levels of morbidity and mortality. In this study, we performed large-scale integrative multi-omics analyses of serum obtained from COVID-19 patients with the goal of uncovering novel pathogenic complexities of this disease and identifying molecular signatures that predict clinical outcomes. We assembled a network of protein-metabolite interactions through targeted metabolomic and proteomic profiling in 330 COVID-19 patients compared to 97 non-COVID, hospitalized controls. Our network identified distinct protein-metabolite cross talk related to immune modulation, energy and nucleotide metabolism, vascular homeostasis, and collagen catabolism. Additionally, our data linked multiple proteins and metabolites to clinical indices associated with long-term mortality and morbidity. Finally, we developed a novel composite outcome measure for COVID-19 disease severity based on metabolomics data. The model predicts severe disease with a concordance index of around 0.69, and shows high predictive power of 0.83-0.93 in two independent datasets.
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Affiliation(s)
- Mustafa Buyukozkan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center and Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Sergio Alvarez-Mulett
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alexandra C. Racanelli
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Frank Schmidt
- Proteomics Core, Weill Cornell Medicine – Qatar, Doha, Qatar
| | - Richa Batra
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center and Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Katherine L. Hoffman
- Department of Population Health Sciences, Division of Biostatistics, Weill Cornell Medicine, New York, NY, USA
| | - Hina Sarwath
- Proteomics Core, Weill Cornell Medicine – Qatar, Doha, Qatar
| | - Rudolf Engelke
- Proteomics Core, Weill Cornell Medicine – Qatar, Doha, Qatar
| | - Luis Gomez-Escobar
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Will Simmons
- Department of Population Health Sciences, Division of Biostatistics, Weill Cornell Medicine, New York, NY, USA
| | - Elisa Benedetti
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center and Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Kelsey Chetnik
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center and Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Guoan Zhang
- Proteomics and Metabolomics Core Facility, Weill Cornell Medicine, New York, NY, USA
| | - Edward Schenck
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine – Qatar, Education City, Doha 24144, Qatar
| | - Justin J. Choi
- Department of Medicine, Division of General Internal Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Zhen Zhao
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | - He S. Yang
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Mary E. Choi
- Division of Nephrology and Hypertension, Joan and Sanford I. Weill Department of Medicine, New York, NY, USA
| | - Augustine M.K. Choi
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Soo Jung Cho
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Jan Krumsiek
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center and Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
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18
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Li J, Long X, Zhang Q, Fang X, Luo H, Fang F, Lv X, Zhang D, Sun Y, Li N, Hu S, Li J, Xiong N, Lin Z. Pearson's patterns correlational of clinical risks at admissions with hospitalization outcomes during initial COVID-19 outbreak. iScience 2022; 25:104415. [PMID: 35600840 PMCID: PMC9113760 DOI: 10.1016/j.isci.2022.104415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 04/13/2022] [Accepted: 05/12/2022] [Indexed: 11/24/2022] Open
Abstract
COVID-19 outbreaks have crushed our healthcare systems, which requires clinical guidance for the healthcare following the outbreaks. We conducted retrospective cohort studies with Pearson's pattern-based analysis of clinical parameters of 248 hospitalized patients with COVID-19. We found that dysregulated neutrophil densities were correlated with hospitalization duration before death (p = 0.000066, r = -0.45 for % neutrophil; p = 0.0001, r = -0.47 for neutrophil count). As such, high neutrophil densities were associated with mortality (p = 4.23 × 10-31 for % neutrophil; p = 4.14 × 10-27 for neutrophil count). These findings were further illustrated by a representative "second week crash" pattern and validated by an independent cohort (p = 5.98 × 10-11 for % neutrophil; p = 1.65 × 10-7 for neutrophil count). By contrast, low aspartate aminotransferase (AST) or lactate dehydrogenase (LDH) levels were correlated with quick recovery (p ≤ 0.00005). Collectively, these correlational at-admission findings may provide healthcare guidance for patients with COVID-19 in the absence of targeted therapy.
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Affiliation(s)
- Jingwen Li
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xi Long
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qing Zhang
- Wuhan Red Cross Hospital, Wuhan, Hubei, China
| | - Xi Fang
- Wuhan Red Cross Hospital, Wuhan, Hubei, China
| | - Huiling Luo
- Department of Anesthesiology, Wuhan Red Cross Hospital, Wuhan, Hubei, China
| | - Fang Fang
- Department of Radiology, Wuhan Red Cross Hospital, Wuhan, Hubei, China
| | - Xuefei Lv
- Department of Radiology, Wuhan Red Cross Hospital, Wuhan, Hubei, China
| | - Dandan Zhang
- Department of Radiology, Wuhan Red Cross Hospital, Wuhan, Hubei, China
| | - Yu Sun
- Department of Radiology, Wuhan Red Cross Hospital, Wuhan, Hubei, China
| | - Na Li
- Wuhan Red Cross Hospital, Wuhan, Hubei, China
| | - Shaoping Hu
- Department of Radiology, Wuhan Red Cross Hospital, Wuhan, Hubei, China
| | - Jinghong Li
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Nian Xiong
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Wuhan Red Cross Hospital, Wuhan, Hubei, China
| | - Zhicheng Lin
- McLean Hospital, Harvard Medical School, Belmont, MA 02478, USA
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19
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Thakur C, Tripathi A, Ravichandran S, Shivananjaiah A, Chakraborty A, Varadappa S, Chikkavenkatappa N, Nagarajan D, Lakshminarasimhaiah S, Singh A, Chandra N. A new blood-based RNA signature (R 9), for monitoring effectiveness of tuberculosis treatment in a South Indian longitudinal cohort. iScience 2022; 25:103745. [PMID: 35118358 PMCID: PMC8800112 DOI: 10.1016/j.isci.2022.103745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 03/31/2021] [Accepted: 01/06/2022] [Indexed: 11/17/2022] Open
Abstract
Tuberculosis (TB) treatment involves a multidrug regimen for six months, and until two months, it is unclear if treatment is effective. This delay can lead to the evolution of drug resistance, lung damage, disease spread, and transmission. We identify a blood-based 9-gene signature using a computational pipeline that constructs and interrogates a genome-wide transcriptome-integrated protein-interaction network. The identified signature is able to determine treatment response at week 1-2 in three independent public datasets. Signature-based R9-score correctly detected treatment response at individual timepoints (204 samples) from a newly developed South Indian longitudinal cohort involving 32 patients with pulmonary TB. These results are consistent with conventional clinical metrics and can discriminate good from poor treatment responders at week 2 (AUC 0.93(0.81-1.00)). In this work, we provide proof of concept that the R9-score can determine treatment effectiveness, making a case for designing a larger clinical study.
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Affiliation(s)
- Chandrani Thakur
- Department of Biochemistry, Indian Institute of Science, Bangalore, India
| | - Ashutosh Tripathi
- Department of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, India
- Centre for Infectious Disease Research, Indian Institute of Science, Bangalore, India
| | | | - Akshatha Shivananjaiah
- SDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India
| | - Anushree Chakraborty
- SDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India
| | - Sreekala Varadappa
- SDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India
| | | | - Deepesh Nagarajan
- Department of Biochemistry, Indian Institute of Science, Bangalore, India
| | | | - Amit Singh
- Department of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, India
- Centre for Infectious Disease Research, Indian Institute of Science, Bangalore, India
| | - Nagasuma Chandra
- Department of Biochemistry, Indian Institute of Science, Bangalore, India
- National Mathematics Initiative, Indian Institute of Science, Bangalore, India
- Centre for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
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20
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Wilson JC, Kealy D, James SR, Plowman T, Newling K, Jagger C, Filbey K, Mann ER, Konkel JE, Menon M, Knight SB, Simpson A, Prihartadi A, Forshaw G, Todd N, Yates DR, Grainger JR, Hussell T, Kaye PM, Signoret N, Lagos D. Integrated miRNA/cytokine/chemokine profiling reveals severity-associated step changes and principal correlates of fatality in COVID-19. iScience 2022; 25:103672. [PMID: 34957382 PMCID: PMC8686203 DOI: 10.1016/j.isci.2021.103672] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 12/08/2021] [Accepted: 12/17/2021] [Indexed: 12/21/2022] Open
Abstract
Inflammatory cytokines and chemokines (CC) drive COVID-19 pathology. Yet, patients with similar circulating CC levels present with different disease severity. Here, we determined 171 microRNAomes from 58 hospitalized COVID-19 patients (Cohort 1) and levels of 25 cytokines and chemokines (CC) in the same samples. Combining microRNA (miRNA) and CC measurements allowed for discrimination of severe cases with greater accuracy than using miRNA or CC levels alone. Severity group-specific associations between miRNAs and COVID-19-associated CC (e.g., IL6, CCL20) or clinical hallmarks of COVID-19 (e.g., neutrophilia, hypoalbuminemia) separated patients with similar CC levels but different disease severity. Analysis of an independent cohort of 108 patients from a different center (Cohort 2) demonstrated feasibility of CC/miRNA profiling in leftover hospital blood samples with similar severe disease CC and miRNA profiles, and revealed CCL20, IL6, IL10, and miR-451a as key correlates of fatal COVID-19. These findings highlight that systemic miRNA/CC networks underpin severe COVID-19.
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Affiliation(s)
- Julie C. Wilson
- Department of Mathematics, University of York, York YO10 5DD, UK
| | - David Kealy
- Hull York Medical School, University of York, Wentworth Way, York YO10 5DD, UK
- York Biomedical Research Institute, University of York, York YO10 5DD, UK
| | - Sally R. James
- York Biosciences Technology Facility, University of York, Wentworth Way, York YO10 5DD, UK
| | - Tobias Plowman
- Hull York Medical School, University of York, Wentworth Way, York YO10 5DD, UK
- York Biomedical Research Institute, University of York, York YO10 5DD, UK
| | - Katherine Newling
- York Biosciences Technology Facility, University of York, Wentworth Way, York YO10 5DD, UK
| | - Christopher Jagger
- Lydia Becker Institute of Immunology and Inflammation, Division of Infection, Immunity & Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Room 2.16, 46 Grafton Street, Manchester M13 9PL, UK
| | - Kara Filbey
- Lydia Becker Institute of Immunology and Inflammation, Division of Infection, Immunity & Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Room 2.16, 46 Grafton Street, Manchester M13 9PL, UK
| | - Elizabeth R. Mann
- Lydia Becker Institute of Immunology and Inflammation, Division of Infection, Immunity & Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Room 2.16, 46 Grafton Street, Manchester M13 9PL, UK
- Maternal and Fetal Health Centre, Division of Developmental Biology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor St. Mary's Hospital, Oxford Road, Manchester M13 9WL, UK
| | - Joanne E. Konkel
- Lydia Becker Institute of Immunology and Inflammation, Division of Infection, Immunity & Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Room 2.16, 46 Grafton Street, Manchester M13 9PL, UK
| | - Madhvi Menon
- Lydia Becker Institute of Immunology and Inflammation, Division of Infection, Immunity & Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Room 2.16, 46 Grafton Street, Manchester M13 9PL, UK
| | - Sean B. Knight
- Lydia Becker Institute of Immunology and Inflammation, Division of Infection, Immunity & Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Room 2.16, 46 Grafton Street, Manchester M13 9PL, UK
- Respiratory Department, Salford Royal NHS Foundation Trust, Stott Lane, Salford M6 8HD, UK
| | - Angela Simpson
- Division of Infection, Immunity and Respiratory Medicine, Manchester NIHR BRC, Education and Research Centre, Wythenshawe Hospital, Manchester, UK
| | | | - Aliya Prihartadi
- Hull York Medical School, University of York, Wentworth Way, York YO10 5DD, UK
| | - Greg Forshaw
- York and Scarborough Teaching Hospitals NHS Foundation Trust, York YO31 8HE, UK
| | - Neil Todd
- York and Scarborough Teaching Hospitals NHS Foundation Trust, York YO31 8HE, UK
| | - David R.A. Yates
- Hull York Medical School, University of York, Wentworth Way, York YO10 5DD, UK
- The Members of the Coronavirus Immune Response and Clinical Outcomes (CIRCO) Collaborative Group
| | - John R. Grainger
- Lydia Becker Institute of Immunology and Inflammation, Division of Infection, Immunity & Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Room 2.16, 46 Grafton Street, Manchester M13 9PL, UK
| | - Tracy Hussell
- Lydia Becker Institute of Immunology and Inflammation, Division of Infection, Immunity & Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Room 2.16, 46 Grafton Street, Manchester M13 9PL, UK
| | - Paul M. Kaye
- Hull York Medical School, University of York, Wentworth Way, York YO10 5DD, UK
- York Biomedical Research Institute, University of York, York YO10 5DD, UK
| | - Nathalie Signoret
- Hull York Medical School, University of York, Wentworth Way, York YO10 5DD, UK
- York Biomedical Research Institute, University of York, York YO10 5DD, UK
| | - Dimitris Lagos
- Hull York Medical School, University of York, Wentworth Way, York YO10 5DD, UK
- York Biomedical Research Institute, University of York, York YO10 5DD, UK
- Corresponding author
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21
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Rezaianzadeh A, Rahimikazerooni S, Khazraei H, Tadayon SMK, Akool MA, Rahimi M, Hosseini SV. Do clinicopathologic features of rectal and colon cancer guide us towards distinct malignancies? J Gastrointest Oncol 2019; 10:203-208. [PMID: 31032086 DOI: 10.21037/jgo.2019.02.16] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Background Unlike developed countries where studies on all aspects of colorectal cancers are widely numerous, Iran as a Middle Eastern country show very few studies especially ones comparing the differences between colon and rectal cancer. In this study, firstly we report demographic, clinical and pathologic characteristics of patients with rectum and colon cancer and secondly compare these findings in order to investigate probable differences. Methods In this cross-sectional study, 238 patients were divided into two groups: the rectal cancer group and the colonic cancer group. Demographic, clinical and pathologic information of patients were statistically compared using Stata version 12. Results There were no statistical differences between the two groups regarding age and gender and BMI. Regarding clinical presentation, the proportion of rectal bleeding was significantly higher in colon cancer group (P<0.001). Moreover, abdominal pain was significantly more frequent in colon cancer group (P<0.001). Tumor stage showed statistically difference between the two groups (P=0.02). Conclusions We did not find enough evidences to conclude that rectal cancer and colon cancer should be investigated as two distinct malignancies but findings showed significant differences such as stage at diagnosis encouraged us in order to conduct other appropriate studies for better evaluation of this issue.
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Affiliation(s)
- Abbas Rezaianzadeh
- Colorectal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Hajar Khazraei
- Colorectal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | | | - Masomeh Rahimi
- Colorectal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
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Ndung'u A, Sun J, Musau J, Ndirangu E. Patterns and outcomes of paediatric trauma at a tertiary teaching hospital in Kenya. Afr J Emerg Med 2019; 9:S47-S51. [PMID: 30976501 PMCID: PMC6440923 DOI: 10.1016/j.afjem.2018.12.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 08/10/2018] [Accepted: 12/19/2018] [Indexed: 12/01/2022] Open
Abstract
INTRODUCTION Trauma continues to be a major cause of morbidity and mortality especially in the paediatric population of low- and middle-income countries such as Kenya. The aim of this study was to establish the profile and outcomes of admitted paediatric trauma cases at the Aga Khan University Hospital, Nairobi. METHODS This retrospective, descriptive study involved a 12-month chart review (January 2016-December 2016). A total of 218 records were identified of which 144 were reviewed. RESULTS Most injuries were amongst boys (65.3%) and the very young (mean age 6), occurred in private residences (42.4% homes, 25.7% residential institutions), were typically caused by falls (56.3%) or penetrating trauma (13.2%), mostly resulted in extremity fractures (45.8% closed, 4.9% open) and burn or head injuries (in infants and small children), and got very little or no pre-hospital care (51.4% no care). Additionally, children with burns, brain injuries, or poly-trauma had the longest hospital stays and highest rates of mortality. A more detailed description of the patterns and outcomes seen are included in the study. DISCUSSION Paediatric injuries remain a major public health problem and contribute a substantial proportion of all paediatric surgical admissions at the Aga Khan University Hospital in Nairobi. Based on the patterns and outcomes seen in this study, we therefore recommend for Nairobi (and possibly Kenya) to establish greater supervision and safety measures for children; targeting safety interventions at all children but particularly at boys, the very young, at home and in residential buildings; building pre-hospital emergency care that can accommodate children; and equipping paediatric trauma hospitals to especially handle bony fractures, burns, head injuries, and poly-traumas. A bespoke trauma registry would benefit the hospital, and likely the country as a whole.
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Affiliation(s)
- Anthony Ndung'u
- The Aga Khan University Hospital, Nairobi, 3rd Parklands Avenue, Limuru Road, P.O BOX, Nairobi 30270-00100, Kenya
| | - Jared Sun
- Harbor-UCLA Department of Emergency Medicine, 1000 W. Carson St., Building D-9 (Box 21), Torrance, CA 90509, United States
| | - Joan Musau
- The Aga Khan University, School of Nursing and Midwifery, Sunny Plaza | Wangapala Rd, off 4th Parklands Avenue, P.O. Box 39340 – 00623, Nairobi, Kenya
| | - Eunice Ndirangu
- The Aga Khan University, School of Nursing and Midwifery, Sunny Plaza | Wangapala Rd, off 4th Parklands Avenue, P.O. Box 39340 – 00623, Nairobi, Kenya
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Abstract
PURPOSE To identify differential clinical and imaging findings between intra-abdominal desmoid tumors and peritoneal seeding that developed after surgery for colorectal cancer. METHODS 8 patients (9 desmoid tumors) and 11 patients (13 peritoneal seeding masses) were enrolled in our retrospective study. Patients with three or more tumors were excluded. Clinical findings including location of initial tumors, type of surgery, T- and N-stages of initial tumors, time interval between initial surgery and development of intra-abdominal tumors, and level of carcinoembryonic antigen (CEA) were evaluated. Imaging findings of intra-abdominal tumors including size, number, growth rate, location, shape, homogeneity, relative enhancement, and maximum standardized uptake value were evaluated. The Mann-Whitney U test and Fisher's exact test were used to compare clinical and imaging findings between desmoid tumors and peritoneal seeding. RESULTS In patients with a desmoid tumor, initial T-stage, initial N-stage, and level of CEA at the time of surgery for intra-abdominal tumor were lower than in patients with peritoneal seeding (p = 0.027, p = 0.033, and p = 0.017). The desmoid tumors were frequently located in the small bowel mesentery (p = 0.018) and were larger at detection (p = 0.041). Round or ovoid shapes on CT images were more frequently observed with the desmoid tumors (p = 0.035). CONCLUSIONS Stage of colorectal cancer, CEA level, and location, size, and shape of new intra-abdominal tumors can be helpful for differentiating between intra-abdominal desmoid tumors and peritoneal seeding in patients with a history of colorectal cancer surgery.
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Affiliation(s)
- Ji Hoon Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea
| | - Kyoung Doo Song
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea.
| | - Dong Ik Cha
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea
| | - Seung Hyup Hyun
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea
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NATEGHPOUR M, HOSSEININASAB A, FARROKHNIA M, DASTOURI F, ALIDOOSTI K, SADEQUI D, AHMADI A. Species-dependent Clinical Findings of Malaria Caused by Various Plasmodia in an Endemic Area of Kerman Province, Southeastern Iran. Iran J Public Health 2017; 46:525-529. [PMID: 28540269 PMCID: PMC5439042] [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] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Malaria is a big problem of public health in many tropical countries where socioeconomic development is deficient. Four species of plasmodium are capable of infecting human: P. falciparum, P. malaria, P.vivax, P. ovale. Southeastern corner of Iran, including Sistan and Baluchestan, Hormozgan and the tropical part of Kerman Province, are endemic region of malaria. This study aimed to find out clinical findings in malaria caused by various plasmodium species in moderate transmission area of southern Kerman Province. METHODS This study was conducted in health centers of Kahnooj, Manujan, Ghale-Ganj, Roudbar and Fariab in south of Kerman Province, Southeastern Iran during 2005-2009. Three hundred and thirty patients with positive malaria parasite slides entered the study. Frequencies of several malaria clinical presentations were investigated in four plasmodium species. RESULTS 54.2% of considered patients were male. Mean age of patients was 22.8±17.8 yr. Younger and older patient were 6 months and 80 yr, respectively. Ten patients were infected with P. falciparum, 314 with plasmodium vivax and 6 with mixed infection. The symptoms of fever, chills and sweating were present in 74.6% of subjects. Other complaints were joint pain, headache, fatigue, vomiting, and diarrhea. Splenomegaly was detected in 17.57% of the individuals. CONCLUSION Malaria should be considered in differential diagnosis of all acutely febrile patients in endemic area. Classic symptoms of fever, chills and sweating may not present in all of patients.
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Affiliation(s)
- Mehdi NATEGHPOUR
- Dept. of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran, Center for Research of Endemic Parasites of Iran, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali HOSSEININASAB
- Infectious and Tropical Research Center, Kerman University of Medical Sciences, Kerman, Iran,Corresponding Author:
| | - Mehrdad FARROKHNIA
- Infectious and Tropical Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Foroughieh DASTOURI
- Kerman Province Health Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Katayun ALIDOOSTI
- Infectious and Tropical Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Dadkhoda SADEQUI
- Kahnouj Health Center, Jiroft University of Medical Sciences, Jiroft, Iran
| | - Asadollah AHMADI
- Kahnouj Health Center, Jiroft University of Medical Sciences, Jiroft, Iran
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Baudoin T, Kosec A, Cor IS, Zaja O. Clinical features and diagnostic reliability in paediatric laryngopharyngeal reflux. Int J Pediatr Otorhinolaryngol 2014; 78:1101-6. [PMID: 24833166 DOI: 10.1016/j.ijporl.2014.04.024] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2013] [Revised: 04/08/2014] [Accepted: 04/11/2014] [Indexed: 11/24/2022]
Abstract
OBJECTIVE The aim of this study was to assess the validity of current diagnostic approaches in pediatric laryngopharyngeal reflux (PLPR). Clinical status findings and 24h double probe oesophageal pH monitoring results in children with suspected PLPR and/or GERD were analyzed and a clinically useful probability score was developed. METHODS This is a retrospective longitudinal cohort study including 89 pediatric patients who underwent preliminary oropharyngoscopy, and then nasal fibre optic laryngoscopy and ambulatory 24h oesophageal pH monitoring in a tertiary pediatric and otorhinolaryngology hospital center. The patients' parents gave written informed consent for diagnostic testing. Statistical analysis was performed using standard descriptive statistics. Associations between variables were assessed using Fisher's exact test, Mann-Whitney test and Kruskal-Wallis test for non-parametric paired samples. RESULTS Patients' age spanned 1-18 years with a median of 11.2. Out of the 89 patients, 56 were girls, and 33 were boys. All of the patients underwent nasal fibre optic laryngoscopy and 24h double probe pH monitoring. Out of 89 examined children, 50 had PLPR. Out of the 50 positive for PLPR, 46 had a positive clinical finding, with a sensitivity of 92% (95% CI: 80.75-97.73%) and specificity of 10.26% (95% CI: 2.93-24.24%). Boys have GERD significantly more often than girls (p<0.0001), and have a worse result of pH monitoring (p<0.0001). The most common finding was an injected and granulated oropharynx accompanied by posterior laryngitis (54/89). Patients with leading symptoms of asthma had significantly worse GERD scores (p=0.0493). The patients were then reassigned to newly developed risk categories and a significant correlation with a positive PLPR diagnosis was found (p=0.0262). CONCLUSIONS The significance of a thorough otorhinolaryngologic and paediatric examination and patient history taking is still paramount, with additional benefit in diagnosing the disease arising from 24h oesophageal pH monitoring in select patients. This study brings to light new relationships between clinical symptoms and objective findings and presents a novel attempt to classify the likelihood of diagnosis. Patient stratification could help clinicians in defining groups at high risk and support a timely, cost-effective and precise diagnostic evaluation and proper therapy.
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Affiliation(s)
- Tomislav Baudoin
- Department of Otorhinolarygology and Head and Neck Surgery, Clinical Hospital Centre Sestre milosrdnice, Zagreb University School of Medicine, Vinogradska cesta 29, Zagreb, Croatia.
| | - Andro Kosec
- Department of Otorhinolarygology and Head and Neck Surgery, Clinical Hospital Centre Sestre milosrdnice, Zagreb University School of Medicine, Vinogradska cesta 29, Zagreb, Croatia.
| | | | - Orjena Zaja
- Department of Pediatrics, Clinical Hospital Centre Sestre milosrdnice, Zagreb University School of Medicine, Vinogradska cesta 29, Zagreb, Croatia
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Meola G, Cardani R. Myotonic dystrophies: An update on clinical aspects, genetic, pathology, and molecular pathomechanisms. Biochim Biophys Acta Mol Basis Dis 2014; 1852:594-606. [PMID: 24882752 DOI: 10.1016/j.bbadis.2014.05.019] [Citation(s) in RCA: 205] [Impact Index Per Article: 20.5] [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: 03/19/2014] [Revised: 05/19/2014] [Accepted: 05/20/2014] [Indexed: 01/18/2023]
Abstract
Myotonic dystrophy (DM) is the most common adult muscular dystrophy, characterized by autosomal dominant progressive myopathy, myotonia and multiorgan involvement. To date two distinct forms caused by similar mutations have been identified. Myotonic dystrophy type 1 (DM1, Steinert's disease) is caused by a (CTG)n expansion in DMPK, while myotonic dystrophy type 2 (DM2) is caused by a (CCTG)n expansion in ZNF9/CNBP. When transcribed into CUG/CCUG-containing RNA, mutant transcripts aggregate as nuclear foci that sequester RNA-binding proteins, resulting in spliceopathy of downstream effector genes. However, it is now clear that additional pathogenic mechanism like changes in gene expression, protein translation and micro-RNA metabolism may also contribute to disease pathology. Despite clinical and genetic similarities, DM1 and DM2 are distinct disorders requiring different diagnostic and management strategies. This review is an update on the recent advances in the understanding of the molecular mechanisms behind myotonic dystrophies. This article is part of a Special Issue entitled: Neuromuscular Diseases: Pathology and Molecular Pathogenesis.
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Affiliation(s)
- Giovanni Meola
- Department of Neurology, IRCCS Policlinico San Donato, University of Milan, San Donato Milanese, Milan, Italy; Laboratory of Muscle Histopathology and Molecular Biology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
| | - Rosanna Cardani
- Laboratory of Muscle Histopathology and Molecular Biology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
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