1
|
Kang LM, Mi R, Cui XD, Fu J, Wang WP, Li L, Li TG, Wang XY, Xiao F, Hou XL. [Clinical characteristics of pertussis in hospitalized children under 3 months]. Zhonghua Yi Xue Za Zhi 2024; 104:1422-1425. [PMID: 38644294 DOI: 10.3760/cma.j.cn112137-20231107-01030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Demographic data and clinical data were collected retrospectively from patients with pertussis at the Children's Hospital Affiliated to the Capital Institute of Pediatrics between March 2011 and February 2023. Among the 270 hospitalized patients, 151 cases were male and 119 were female. The youngest age of admission was 10 days and the eldest age of admission was 11 years. The 270 hospitalized patients were divided into two groups according to onset age: <3 months (n=143) and≥3 months (n=127). For those in the <3-month-old group, the incidence of severe pneumonia and severe pertussis were 21.0% and 38.5%, respectively, both were significantly higher than those in≥3-month-old group (7.9% and 11.0%, both P<0.05). For those in the <3-month-old group, paroxysmal spasmodic cough, post-tussive vomiting, paroxysmal cyanosis, apnea, and decreased heart rate after coughing were 86.7%, 25.2%, 38.5%, 7.0% and 16.8%, respectively, all were significantly higher than those in ≥3-month-old group (76.4%, 10.2%, 15.7%, 1.6% and 1.6%, all P<0.05). For those in the<3-month-old group, the incidence of hypoxemia, respiratory failure, were 36.4%, 16.8%, respectively, and both were significantly higher than those in≥3-month-old group (10.2%, 7.1%, P<0.05). It indicated that among the infants under 3 months, the incidence of vomiting after coughing, paroxysmal cyanosis, apnea, hypoxemia, respiratory failure, decreased heart rate after coughing and severe pneumonia were significantly higher than those above 3 months. Infants under 3 months were prone to severe pertussis.
Collapse
Affiliation(s)
- L M Kang
- Department of Neonatal Medicine, Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - R Mi
- Department of Neonatal Medicine, Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - X D Cui
- Central Lab, Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - J Fu
- Central Lab, Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - W P Wang
- Department of Epidemiology, Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - L Li
- Department of Neonatal Medicine, Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - T G Li
- Department of Neonatal Medicine, Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - X Y Wang
- Department of Neonatal Medicine, Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - F Xiao
- Central Lab, Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - X L Hou
- Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| |
Collapse
|
2
|
Delazer L, Pressler N, Balestrini S, Xiao F, Clayton LM, Anders-Cannon J, Salvatierra R, Henry I, Sisodiya SM, Sander JW, Koepp MJ. COVID-19 response in a long-term care facility for people with epilepsy. Epilepsia Open 2024. [PMID: 38593277 DOI: 10.1002/epi4.12940] [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: 02/10/2024] [Revised: 03/09/2024] [Accepted: 04/01/2024] [Indexed: 04/11/2024] Open
Abstract
OBJECTIVE To assess asymptomatic rates and severity of SARS-CoV-2 infection in people with epilepsy and their healthcare workers in a long-term care facility which had implemented weekly surveillance testing between April 2020 and June 2022. METHODS Questionnaires focused on objective and subjective COVID-19 symptoms for people with epilepsy residing in and their healthcare workers at the Chalfont Centre for Epilepsy in June 2022. Demographic information, comorbidities, and seizure frequency were gathered from medical records. We also collected responses on objective and subjective COVID-19 symptoms from healthcare workers who participated in a prospective study assessing the reaction to COVID-19 vaccinations (SAFER). RESULTS Fifty-five out of 89 (62%) residents tested positive at least once on weekly PCR testing for SARS-CoV-2 during the period of interest; 20 of those (37%) were asymptomatic. In comparison, of those 63 healthcare workers who tested positive at least once on weekly testing during the same period, only four (6%) were asymptomatic. Of the 159 healthcare workers who also participated in the SAFER study, 41 tested positive at least once, and seven (17%) were completely asymptomatic during infection with SARS-CoV-2. SIGNIFICANCE People with epilepsy living in a long-term care facility were more likely to present with asymptomatic SARS-CoV-2 infections than healthcare workers at the same facility. Despite possible bias in the reporting of subjective symptoms due to management-by-proxy, there is no evidence that vulnerable people living in an epilepsy long-term care facility showed reduced resilience towards infections. PLAIN LANGUAGE SUMMARY People with epilepsy living in care home facilities had a surprisingly high degree of asymptomatic infections with SARS-CoV-2. Very few residents had severe or fatal outcomes. This is in stark contrast to the widely reported bad outcomes for people without epilepsy in other care homes. People with epilepsy reported significantly less symptoms than their healthcare workers. No changes in seizure frequency during or after infection were observed.
Collapse
Affiliation(s)
- Luisa Delazer
- Chalfont Centre for Epilepsy, Chalfont St Peter, Bucks, UK
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Department of Neurology, Epilepsy Center, Ludwig Maximilians University, Munich, Germany
| | - Noah Pressler
- University of Nottingham, Medical School, Nottingham, UK
| | - Simona Balestrini
- Chalfont Centre for Epilepsy, Chalfont St Peter, Bucks, UK
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Neuroscience Department, Children's Hospital A. Meyer IRCSS, University of Florence, Florence, Italy
| | - Fenglai Xiao
- Chalfont Centre for Epilepsy, Chalfont St Peter, Bucks, UK
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Lisa M Clayton
- Chalfont Centre for Epilepsy, Chalfont St Peter, Bucks, UK
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
| | | | | | - Ian Henry
- Chalfont Centre for Epilepsy, Chalfont St Peter, Bucks, UK
| | - Sanjay M Sisodiya
- Chalfont Centre for Epilepsy, Chalfont St Peter, Bucks, UK
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
| | - Josemir W Sander
- Chalfont Centre for Epilepsy, Chalfont St Peter, Bucks, UK
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
- Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands
| | - Matthias J Koepp
- Chalfont Centre for Epilepsy, Chalfont St Peter, Bucks, UK
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
| |
Collapse
|
3
|
Trimmel K, Vos SB, Binding L, Caciagli L, Xiao F, van Graan LA, Koepp MJ, Thompson PJ, Duncan JS. Naming fMRI-guided white matter language tract volumes influence naming decline after temporal lobe resection. J Neurol 2024:10.1007/s00415-024-12315-2. [PMID: 38583105 DOI: 10.1007/s00415-024-12315-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 03/08/2024] [Accepted: 03/08/2024] [Indexed: 04/08/2024]
Abstract
OBJECTIVE The aim of this study was to explore the relation of language functional MRI (fMRI)-guided tractography with postsurgical naming decline in people with temporal lobe epilepsy (TLE). METHODS Twenty patients with unilateral TLE (9 left) were studied with auditory and picture naming functional MRI tasks. Activation maxima in the left posterobasal temporal lobe were used as seed regions for whole-brain fibre tractography. Clinical naming performance was assessed preoperatively, 4 months, and 12 months following temporal lobe resection. Volumes of white matter language tracts in both hemispheres as well as tract volume laterality indices were explored as moderators of postoperative naming decline using Pearson correlations and multiple linear regression with other clinical variables. RESULTS Larger volumes of white matter language tracts derived from auditory and picture naming maxima in the hemisphere of subsequent surgery as well as stronger lateralization of picture naming tract volumes to the side of surgery correlated with greater language decline, which was independent of fMRI lateralization status. Multiple regression for picture naming tract volumes was associated with a significant decline of naming function with 100% sensitivity and 93% specificity at both short-term and long-term follow-up. INTERPRETATION Naming fMRI-guided white matter language tract volumes relate to postoperative naming decline after temporal lobe resection in people with TLE. This can assist stratification of surgical outcome and minimize risk of postoperative language deficits in TLE.
Collapse
Affiliation(s)
- Karin Trimmel
- Department of Neurology, Medical University of Vienna, Vienna, Austria.
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK.
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK.
| | - Sjoerd B Vos
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, London, UK
- Centre for Microscopy Characterisation and Analysis, University of Western Australia, Nedlands, Australia
| | - Lawrence Binding
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Lorenzo Caciagli
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
- Department of Neurology, Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Fenglai Xiao
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
| | - Louis A van Graan
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
| | - Matthias J Koepp
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
| | - Pamela J Thompson
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
| | - John S Duncan
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
| |
Collapse
|
4
|
Wang SZ, Wang MD, Wang JY, Yuan M, Li YD, Luo PT, Xiao F, Li H. Genome-wide association study of growth curve parameters reveals novel genomic regions and candidate genes associated with metatarsal bone traits in chickens. Animal 2024; 18:101129. [PMID: 38574453 DOI: 10.1016/j.animal.2024.101129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 03/02/2024] [Accepted: 03/05/2024] [Indexed: 04/06/2024] Open
Abstract
The growth and development of chicken bones have an enormous impact on the health and production performance of chickens. However, the development pattern and genetic regulation of the chicken skeleton are poorly understood. This study aimed to evaluate metatarsal bone growth and development patterns in chickens via non-linear models, and to identify the genetic determinants of metatarsal bone traits using a genome-wide association study (GWAS) based on growth curve parameters. Data on metatarsal length (MeL) and metatarsal circumference (MeC) were obtained from 471 F2 chickens (generated by crossing broiler sires, derived from a line selected for high abdominal fat, with Baier layer dams) at 4, 6, 8, 10, and 12 weeks of age. Four non-linear models (Gompertz, Logistic, von Bertalanffy, and Brody) were used to fit the MeL and MeC growth curves. Subsequently, the estimated growth curve parameters of the mature MeL or MeC (A), time-scale parameter (b), and maturity rate (K) from the non-linear models were utilized as substitutes for the original bone data in GWAS. The Logistic and Brody models displayed the best goodness-of-fit for MeL and MeC, respectively. Single-trait and multi-trait GWASs based on the growth curve parameters of the Logistic and Brody models revealed 4 618 significant single nucleotide polymorphisms (SNPs), annotated to 332 genes, associated with metatarsal bone traits. The majority of these significant SNPs were located on Gallus gallus chromosome (GGA) 1 (167.433-176.318 Mb), GGA2 (96.791-103.543 Mb), GGA4 (65.003-83.104 Mb) and GGA6 (64.685-95.285 Mb). Notably, we identified 12 novel GWAS loci associated with chicken metatarsal bone traits, encompassing 35 candidate genes. In summary, the combination of single-trait and multi-trait GWASs based on growth curve parameters uncovered numerous genomic regions and candidate genes associated with chicken bone traits. The findings benefit an in-depth understanding of the genetic architecture underlying metatarsal growth and development in chickens.
Collapse
Affiliation(s)
- S Z Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - M D Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - J Y Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - M Yuan
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Y D Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - P T Luo
- Fujian Sunnzer Biotechnology Development Co. Ltd, Guangze, Fujian Province 354100, PR China
| | - F Xiao
- Fujian Sunnzer Biotechnology Development Co. Ltd, Guangze, Fujian Province 354100, PR China
| | - H Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China.
| |
Collapse
|
5
|
Xiao F, Caciagli L, Wandschneider B, Sone D, Young AL, Vos SB, Winston GP, Zhang Y, Liu W, An D, Kanber B, Zhou D, Sander JW, Thom M, Duncan JS, Alexander DC, Galovic M, Koepp MJ. Identification of different MRI atrophy progression trajectories in epilepsy by subtype and stage inference. Brain 2023; 146:4702-4716. [PMID: 37807084 PMCID: PMC10629797 DOI: 10.1093/brain/awad284] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 06/30/2023] [Accepted: 08/02/2023] [Indexed: 10/10/2023] Open
Abstract
Artificial intelligence (AI)-based tools are widely employed, but their use for diagnosis and prognosis of neurological disorders is still evolving. Here we analyse a cross-sectional multicentre structural MRI dataset of 696 people with epilepsy and 118 control subjects. We use an innovative machine-learning algorithm, Subtype and Stage Inference, to develop a novel data-driven disease taxonomy, whereby epilepsy subtypes correspond to distinct patterns of spatiotemporal progression of brain atrophy.In a discovery cohort of 814 individuals, we identify two subtypes common to focal and idiopathic generalized epilepsies, characterized by progression of grey matter atrophy driven by the cortex or the basal ganglia. A third subtype, only detected in focal epilepsies, was characterized by hippocampal atrophy. We corroborate external validity via an independent cohort of 254 people and confirm that the basal ganglia subtype is associated with the most severe epilepsy.Our findings suggest fundamental processes underlying the progression of epilepsy-related brain atrophy. We deliver a novel MRI- and AI-guided epilepsy taxonomy, which could be used for individualized prognostics and targeted therapeutics.
Collapse
Affiliation(s)
- Fenglai Xiao
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UCL-Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, Buckinghamshire, SL9 0RJ, UK
- Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
| | - Lorenzo Caciagli
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UCL-Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, Buckinghamshire, SL9 0RJ, UK
- Department of Neurology, Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Britta Wandschneider
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UCL-Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, Buckinghamshire, SL9 0RJ, UK
| | - Daichi Sone
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UCL-Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, Buckinghamshire, SL9 0RJ, UK
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, 105-8461, Japan
| | - Alexandra L Young
- Centre for Medical Image Computing, Departments of Computer Science, Medical Physics, and Biomedical Engineering, UCL, London, WC1E 6BT, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Sjoerd B Vos
- Centre for Medical Image Computing, Departments of Computer Science, Medical Physics, and Biomedical Engineering, UCL, London, WC1E 6BT, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- Centre for Microscopy, Characterisation, and Analysis, University of Western Australia, Perth, WA 6009, Australia
| | - Gavin P Winston
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UCL-Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, Buckinghamshire, SL9 0RJ, UK
- Department of Medicine, Division of Neurology, Queen’s University, Kingston, K7L 3N6, Canada
- Centre for Neuroscience Studies, Queen’s University, Kingston, K7L 3N6, Canada
| | - Yingying Zhang
- Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
| | - Wenyu Liu
- Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
| | - Dongmei An
- Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
| | - Baris Kanber
- Centre for Medical Image Computing, Departments of Computer Science, Medical Physics, and Biomedical Engineering, UCL, London, WC1E 6BT, UK
| | - Dong Zhou
- Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
| | - Josemir W Sander
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UCL-Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, Buckinghamshire, SL9 0RJ, UK
- Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China
- Stichting Epilepsie Instellingen Nederland – (SEIN), Heemstede, 2103SW, The Netherlands
| | - Maria Thom
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UCL-Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, Buckinghamshire, SL9 0RJ, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing, Departments of Computer Science, Medical Physics, and Biomedical Engineering, UCL, London, WC1E 6BT, UK
| | - Marian Galovic
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, CH-8091, Switzerland
| | - Matthias J Koepp
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UCL-Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, Buckinghamshire, SL9 0RJ, UK
| |
Collapse
|
6
|
Caciagli L, Ratcliffe C, Xiao F, van Graan LA, Trimmel K, Vollmar C, Centeno M, Duncan JS, Thompson PJ, Baxendale S, Koepp MJ, Wandschneider B. Cognitive phenotype of juvenile absence epilepsy: An investigation of patients and unaffected siblings. Epilepsia 2023; 64:2792-2805. [PMID: 37475704 PMCID: PMC10952612 DOI: 10.1111/epi.17719] [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: 11/24/2022] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 07/22/2023]
Abstract
OBJECTIVE The cognitive profile of juvenile absence epilepsy (JAE) remains largely uncharacterized. This study aimed to: (1) elucidate the neuropsychological profile of JAE; (2) identify familial cognitive traits by investigating unaffected JAE siblings; (3) establish the clinical meaningfulness of JAE-associated cognitive traits; (4) determine whether cognitive traits across the idiopathic generalized epilepsy (IGE) spectrum are shared or syndrome-specific, by comparing JAE to juvenile myoclonic epilepsy (JME); and (5) identify relationships between cognitive abilities and clinical characteristics. METHODS We investigated 123 participants-23 patients with JAE, 16 unaffected siblings of JAE patients, 45 healthy controls, and 39 patients with JME-who underwent a comprehensive neuropsychological test battery including measures within four cognitive domains: attention/psychomotor speed, language, memory, and executive function. We correlated clinical measures with cognitive performance data to decode effects of age at onset and duration of epilepsy. RESULTS Cognitive performance in individuals with JAE was reduced compared to controls across attention/psychomotor speed, language, and executive function domains; those with ongoing seizures additionally showed lower memory scores. Patients with JAE and their unaffected siblings had similar language impairment compared to controls. Individuals with JME had worse response inhibition than those with JAE. Across all patients, those with older age at onset had better attention/psychomotor speed performance. SIGNIFICANCE JAE is associated with wide-ranging cognitive difficulties that encompass domains reliant on frontal lobe processing, including language, attention, and executive function. JAE siblings share impairment with patients on linguistic measures, indicative of a familial trait. Executive function subdomains may be differentially affected across the IGE spectrum. Cognitive abilities are detrimentally modulated by an early age at seizure onset.
Collapse
Affiliation(s)
- Lorenzo Caciagli
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
- Department of Neurology, Inselspital, Sleep‐Wake‐Epilepsy‐Center, Bern University HospitalUniversity of BernBernSwitzerland
| | - Corey Ratcliffe
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular, and Integrative BiologyUniversity of LiverpoolLiverpoolUK
- Department of Neuroimaging and Interventional RadiologyNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Fenglai Xiao
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Louis A. van Graan
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Karin Trimmel
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
- Department of NeurologyMedical University of ViennaViennaAustria
| | - Christian Vollmar
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
- Department of NeurologyLudwig‐Maximilians‐UniversitätMunichGermany
| | - Maria Centeno
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
- Epilepsy Unit, Department of NeurologyHospital Clínic de BarcelonaBarcelonaSpain
| | - John S. Duncan
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Pamela J. Thompson
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Sallie Baxendale
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Matthias J. Koepp
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| | - Britta Wandschneider
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyBuckinghamshireUK
| |
Collapse
|
7
|
Wang Z, Sun XH, Wang W, Chen LT, Duan J, Chen Y, Xiao F, Zhao L. First Demonstration of the Commissioning of a New Multi-Modality Radiotherapy Platform. Int J Radiat Oncol Biol Phys 2023; 117:e736-e737. [PMID: 37786138 DOI: 10.1016/j.ijrobp.2023.06.2264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) A new multi-modality radiotherapy platform was developed and introduced into clinical application, which has received US FDA 510k(K210921) and National Medical Products Administration (NMPA) clearance in China (20223050973). This study, for the first time, presents the technological characteristics and commissioning results of the new platform. MATERIALS/METHODS The platform consists of 3 modules: linear accelerator, rotating gamma system, and a kV imaging system within an O-ring gantry. The O-ring gantry can rotate continuously achieved by using a slip ring. The Linac delivers a 6 MV FFF photon beam with a variable dose rate of 50 to 1400 MU/min. The delivery techniques include 3D-CRT, IMRT, and VMAT. The rotating gamma system utilizes 18 Co-60 sources with a reference dose rate of 350 cGy/min. The image-guided techniques consist of kV-kV pairs and kV-CBCT. The X-ray intensity-modulated radiotherapy and γ-ray stereotactic radiotherapy can be delivered on the same platform. The acceptance test and commissioning were performed following the vendor's customer acceptance tests (CAT) and several AAPM Task Group reports/guidelines. Regarding the Linac, all applicable validation tests recommended by the MPPG 5.a (basic photon beam model validation, IMRT/VMAT validation, E2E tests, and patient-specific QA) were performed. For the rotating gamma system, the absorbed doses were measured using a PTW31014 and PTW60016. EBT3 films were employed to measure the relative output factors (ROFs). The E2E tests were performed using a PTW31014 and EBT3 films. The coincidence between the imaging isocenter and the Linac/gamma treatment isocenter was investigated using EBT3 films. The image quality was evaluated regarding the contrast-to-noise ratio (CNR), spatial resolution, and uniformity. RESULTS All tests included in the CAT met the vendor's specifications. All MPPG 5.a tests complied with the tolerances. The confidence limits for IMRT/VMAT validation were achieved according to TG-119. The point dose differences were below 1.68% and gamma pass rates (3%/2 mm) were above 95.9% for the Linac E2E tests. All plans of patient-specific QA had point dose differences below 1.79% and gamma pass rates (3%/2 mm) above 96.1% suggested by TG-218. For the rotating gamma system, the differences between the calculated and measured absorbed doses were below 1.86%. The ROFs calculated by the TPS were independently confirmed within 2% using EBT3 films. The point dose differences were below 2.57% and gamma pass rates (2%/1 mm) were above 95.3% for the E2E tests. The coincidence between the imaging isocenter and the Linac/gamma treatment isocenter was within 0.5 mm. The image quality fully complied with the vendor's specifications regarding the CNR, spatial resolution, and uniformity. CONCLUSION This is the first report about the commissioning of a new multi-modality radiotherapy platform. The platform has been successfully commissioned and exhibits good performance in mechanical and dosimetry accuracy.
Collapse
Affiliation(s)
- Z Wang
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - X H Sun
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - W Wang
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - L T Chen
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - J Duan
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Y Chen
- OUR UNITED CORPORATION, Xi'an, Shaanxi, China
| | - F Xiao
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - L Zhao
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| |
Collapse
|
8
|
Giampiccolo D, Binding LP, Caciagli L, Rodionov R, Foulon C, de Tisi J, Granados A, Finn R, Dasgupta D, Xiao F, Diehl B, Torzillo E, Van Dijk J, Taylor PN, Koepp M, McEvoy AW, Baxendale S, Chowdhury F, Duncan JS, Miserocchi A. Thalamostriatal disconnection underpins long-term seizure freedom in frontal lobe epilepsy surgery. Brain 2023; 146:2377-2388. [PMID: 37062539 PMCID: PMC10232243 DOI: 10.1093/brain/awad085] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 02/08/2023] [Accepted: 03/02/2023] [Indexed: 04/18/2023] Open
Abstract
Around 50% of patients undergoing frontal lobe surgery for focal drug-resistant epilepsy become seizure free post-operatively; however, only about 30% of patients remain seizure free in the long-term. Early seizure recurrence is likely to be caused by partial resection of the epileptogenic lesion, whilst delayed seizure recurrence can occur even if the epileptogenic lesion has been completely excised. This suggests a coexistent epileptogenic network facilitating ictogenesis in close or distant dormant epileptic foci. As thalamic and striatal dysregulation can support epileptogenesis and disconnection of cortico-thalamostriatal pathways through hemispherotomy or neuromodulation can improve seizure outcome regardless of focality, we hypothesize that projections from the striatum and the thalamus to the cortex may contribute to this common epileptogenic network. To this end, we retrospectively reviewed a series of 47 consecutive individuals who underwent surgery for drug-resistant frontal lobe epilepsy. We performed voxel-based and tractography disconnectome analyses to investigate shared patterns of disconnection associated with long-term seizure freedom. Seizure freedom after 3 and 5 years was independently associated with disconnection of the anterior thalamic radiation and anterior cortico-striatal projections. This was also confirmed in a subgroup of 29 patients with complete resections, suggesting these pathways may play a critical role in supporting the development of novel epileptic networks. Our study indicates that network dysfunction in frontal lobe epilepsy may extend beyond the resection and putative epileptogenic zone. This may be critical in the pathogenesis of delayed seizure recurrence as thalamic and striatal networks may promote epileptogenesis and disconnection may underpin long-term seizure freedom.
Collapse
Affiliation(s)
- Davide Giampiccolo
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK
- Institute of Neuroscience, Cleveland Clinic London, London SW1X 7HY, UK
| | - Lawrence P Binding
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
- Department of Computer Science, Centre for Medical Image Computing, University College London, London WC1V 6LJ, UK
| | - Lorenzo Caciagli
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Roman Rodionov
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Chris Foulon
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Jane de Tisi
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Alejandro Granados
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Roisin Finn
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK
| | - Debayan Dasgupta
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK
| | - Fenglai Xiao
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Beate Diehl
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Emma Torzillo
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Jan Van Dijk
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Peter N Taylor
- Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK
| | - Matthias Koepp
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Andrew W McEvoy
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK
- Institute of Neuroscience, Cleveland Clinic London, London SW1X 7HY, UK
| | - Sallie Baxendale
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Fahmida Chowdhury
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Anna Miserocchi
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK
- Institute of Neuroscience, Cleveland Clinic London, London SW1X 7HY, UK
| |
Collapse
|
9
|
Peter Binding L, Neal Taylor P, O'Keeffe AG, Giampiccolo D, Fleury M, Xiao F, Caciagli L, de Tisi J, Winston GP, Miserocchi A, McEvoy A, Duncan JS, Vos SB. The impact of temporal lobe epilepsy surgery on picture naming and its relationship to network metric change. Neuroimage Clin 2023; 38:103444. [PMID: 37300974 PMCID: PMC10300575 DOI: 10.1016/j.nicl.2023.103444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/04/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Anterior temporal lobe resection (ATLR) is a successful treatment for medically-refractory temporal lobe epilepsy (TLE). In the language-dominant hemisphere, 30%- 50% of individuals experience a naming decline which can impact upon daily life. Measures of structural networks are associated with language performance pre-operatively. It is unclear if analysis of network measures may predict post-operative decline. METHODS White matter fibre tractography was performed on preoperative diffusion MRI of 44 left lateralised and left resection individuals with TLE to reconstruct the preoperative structural network. Resection masks, drawn on co-registered pre- and post-operative T1-weighted MRI scans, were used as exclusion regions on pre-operative tractography to estimate the post-operative network. Changes in graph theory metrics, cortical strength, betweenness centrality, and clustering coefficient were generated by comparing the estimated pre- and post-operative networks. These were thresholded based on the presence of the connection in each patient, ranging from 75% to 100% in steps of 5%. The average graph theory metric across thresholds was taken. We incorporated leave-one-out cross-validation with smoothly clipped absolute deviation (SCAD) least absolute shrinkage and selection operator (LASSO) feature selection and a support vector classifier to assess graph theory metrics on picture naming decline. Picture naming was assessed via the Graded Naming Test preoperatively and at 3 and 12 months post-operatively and the outcome was classified using the reliable change index (RCI) to identify clinically significant decline. The best feature combination and model was selected using the area under the curve (AUC). The sensitivity, specificity and F1-score were also reported. Permutation testing was performed to assess the machine learning model and selected regions difference significance. RESULTS A combination of clinical and graph theory metrics were able to classify outcome of picture naming at 3 months with an AUC of 0.84. At 12 months, change in strength to cortical regions was best able to correctly classify outcome with an AUC of 0.86. Longitudinal analysis revealed that betweenness centrality was the best metric to identify patients who declined at 3 months, who will then continue to experience decline from 3 to 12 months. Both models were significantly higher AUC values than a random classifier. CONCLUSION Our results suggest that inferred changes of network integrity were able to correctly classify picture naming decline after ATLR. These measures may be used to prospectively to identify patients who are at risk of picture naming decline after surgery and could potentially be utilised to assist tailoring the resection in order to prevent this decline.
Collapse
Affiliation(s)
- Lawrence Peter Binding
- Centre for Medical Image Computing, Department of Computer Science, UCL, London, United Kingdom; Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.
| | - Peter Neal Taylor
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom; CNNP lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University, United Kingdom
| | - Aidan G O'Keeffe
- School of Mathematical Sciences, University of Nottingham, United Kingdom; Institute of Epidemiology and Healthcare, UCL, London WC1E 6BT, United Kingdom
| | - Davide Giampiccolo
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom; Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, United Kingdom; Department of Neurosurgery, Institute of Neurosciences, Cleveland Clinic London, United Kingdom
| | - Marine Fleury
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Fenglai Xiao
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom; MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom
| | - Lorenzo Caciagli
- MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Jane de Tisi
- MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom
| | - Gavin P Winston
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom; MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine, Division of Neurology, Queens University, Kingston, Canada
| | - Anna Miserocchi
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom; Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, United Kingdom
| | - Andrew McEvoy
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom; Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, United Kingdom
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom; MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom
| | - Sjoerd B Vos
- Centre for Medical Image Computing, Department of Computer Science, UCL, London, United Kingdom; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom; Centre for Microscopy, Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| |
Collapse
|
10
|
Jiang Y, Li W, Qin Y, Zhang L, Tong X, Xiao F, Jiang S, Li Y, Gong Q, Zhou D, An D, Yao D, Luo C. In vivo characterization of magnetic resonance imaging-based T1w/T2w ratios reveals myelin-related changes in temporal lobe epilepsy. Hum Brain Mapp 2023; 44:2323-2335. [PMID: 36692056 PMCID: PMC10028664 DOI: 10.1002/hbm.26212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 12/12/2022] [Accepted: 01/09/2023] [Indexed: 01/25/2023] Open
Abstract
Temporal lobe epilepsy (TLE) is the most common type of intractable epilepsy in adults. Although brain myelination alterations have been observed in TLE, it remains unclear how the myelination network changes in TLE. This study developed a novel method in characterization of myelination structural covariance network (mSCN) by T1-weighted and T2-weighted magnetic resonance imaging (MRI). The mSCNs were estimated in 42 left TLE (LTLE), 42 right TLE (RTLE) patients, and 41 healthy controls (HCs). The topology of mSCN was analyzed by graph theory. Voxel-wise comparisons of myelination laterality were also examined among the three groups. Compared to HC, both patient groups showed decreased myelination in frontotemporal regions, amygdala, and thalamus; however, the LTLE showed lower myelination in left medial temporal regions than RTLE. Moreover, the LTLE exhibited decreased global efficiency compared with HC and more increased connections than RTLE. The laterality in putamen was differently altered between the two patient groups: higher laterality at posterior putamen in LTLE and higher laterality at anterior putamen in RTLE. The putamen may play a transfer station role in damage spreading induced by epileptic seizures from the hippocampus. This study provided a novel workflow by combination of T1-weighted and T2-weighted MRI to investigate in vivo the myelin-related microstructural feature in epileptic patients first time. Disconnections of mSCN implicate that TLE is a system disorder with widespread disruptions at regional and network levels.
Collapse
Affiliation(s)
- Yuchao Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Wei Li
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Yingjie Qin
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Le Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Xin Tong
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Fenglai Xiao
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Sisi Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Yunfang Li
- Southern Medical District, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Dong Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Dongmei An
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
- Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, People's Republic of China
- Department of Neurology, First Affiliated Hospital of Hainan Medical University, Haikou, People's Republic of China
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
- Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, People's Republic of China
| |
Collapse
|
11
|
Ma H, Papworth SK, Ge T, Wu X, Yu C, Zhang H, Xiao F, Gaillard D, Bielby J, Turvey ST. Ecological knowledge and value of traded species: Local awareness of native turtles in Hainan, China. Anim Conserv 2023. [DOI: 10.1111/acv.12867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
|
12
|
Xiao F, Caciagli L, Wandschneider B, Fleury M, Binding L, Giampiccolo D, Hill A, Galovic M, Foong J, Zhou D, Sander JW, Duncan JS, Koepp MJ. Verbal fluency functional magnetic resonance imaging detects anti-seizure effects and affective side effects of perampanel in people with focal epilepsy. Epilepsia 2023; 64:e9-e15. [PMID: 36524702 PMCID: PMC10107311 DOI: 10.1111/epi.17493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 12/14/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022]
Abstract
Perampanel, a noncompetitive antagonist of the postsynaptic a-amino-3-hydroxy-5-methyl-4-isoxazolepropionic (AMPA) receptor, is effective for controlling focal to bilateral tonic-clonic seizures but is also known to increase feelings of anger. Using statistical parametric mapping-derived measures of activation and task-modulated functional connectivity (psychophysiologic interaction), we investigated 14 people with focal epilepsy who had verbal fluency functional magnetic resonance imaging (fMRI) twice, before and after the add-on treatment of perampanel. For comparison, we included 28 people with epilepsy, propensity-matched for clinical characteristics, who had two scans but no change in anti-seizure medication (ASM) regimen in-between. After commencing perampanel, individuals had higher task-related activations in left orbitofrontal cortex (OFC), fewer task-related activations in the subcortical regions including the left thalamus and left caudate, and lower task-related thalamocaudate and caudate-subtantial nigra connectivity. Decreased task-related connectivity is observed between the left OFC and precuneus and left medial frontal lobe. Our results highlight the brain regions associated with the beneficiary therapeutic effects on focal to bilateral tonic-clonic seizures (thalamus and caudate) but also the undesired affective side effects of perampanel with increased anger and aggression (OFC).
Collapse
Affiliation(s)
- Fenglai Xiao
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
- Department of Neurology, West China Hospital of Sichuan University, Chengdu, China
| | - Lorenzo Caciagli
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Britta Wandschneider
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
- Department of Neurology, The Royal London Hospital, London, UK
| | - Marine Fleury
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
| | - Lawrence Binding
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
| | - Davide Giampiccolo
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
| | - Andrea Hill
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
| | - Marian Galovic
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
| | - Jaqueline Foong
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
| | - Dong Zhou
- Department of Neurology, West China Hospital of Sichuan University, Chengdu, China
| | - Josemir W Sander
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
- Department of Neurology, West China Hospital of Sichuan University, Chengdu, China
- Stichting Epilepsie Instellingen Nederland - (SEIN), Heemstede, The Netherlands
| | - John S Duncan
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
| | - Matthias J Koepp
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
| |
Collapse
|
13
|
Xiao F, Hu A, Meng B, Zhang Y, Han W, Su J. PVH-Peri5 Pathway for Stress-Coping Oromotor and Anxious Behaviors in Mice. J Dent Res 2023; 102:227-237. [PMID: 36303441 DOI: 10.1177/00220345221130305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Stressful stimuli can activate the hypothalamic-pituitary-adrenal (HPA) axis. Clinically, it has been widely reported that stressful events are often accompanied by teeth clenching and bruxism, while mastication (chewing) can promote coping with stress. Trigeminal motoneurons in the trigeminal motor nucleus supplying the chewing muscles receive direct inputs from interneurons within the peritrigeminal premotor area (Peri5). Previous studies found that the paraventricular hypothalamic nucleus (PVH) participates in trigeminal activities during stressful events. However, the neural pathway by which the stress-induced oral movements alleviate stress is largely unknown. We hypothesized that paraventricular-trigeminal circuits might be associated with the stress-induced chewing movements and anxiety levels. First, we observed the stress-coping effect of wood gnawing on stress-induced anxiety, with less anxiety-like behaviors seen in the open field test and elevated plus maze, as well as decreased corticosterone and blood glucose levels, in response to stress in mice. We then found that excitotoxic lesions of PVH reduced the effect of gnawing on stress, reflected in more anxiety-like behaviors; this emphasizes the importance of the PVH in stress responses. Anterograde, retrograde, transsynaptic, and nontranssynaptic tracing through central and peripheral injections confirmed monosynaptic projections from PVH to Peri5. We discovered that PVH receives proprioceptive sensory inputs from the jaw muscle and periodontal ligaments, as well as provides motor outputs via the mesencephalic trigeminal nucleus (Me5) and Peri5. Next, pathway-specific functional manipulation by chemogenetic inhibition was conducted to further explore the role of PVH-Peri5 monosynaptic projections. Remarkably, PVH-Peri5 inhibition decreased gnawing but did not necessarily reduce stress-induced anxiety. Moreover, neuropeptide B (NPB) was expressed in Peri5-projecting PVH neurons, indicating that NPB signaling may mediate the effects of PVH-Peri5. In conclusion, our data revealed a PVH-Peri5 circuit that plays a role in the stress response via its associations with oromotor movements and relative anxiety-like behaviors.
Collapse
Affiliation(s)
- F Xiao
- Department of Prosthodontics, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| | - A Hu
- Department of Prosthodontics, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| | - B Meng
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, USA.,Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Y Zhang
- Department of Prosthodontics, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| | - W Han
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - J Su
- Department of Prosthodontics, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| |
Collapse
|
14
|
Liu Y, Guerrero-Juarez C, Xiao F, Liu R, Yu Z, Nie Q, Li J, Plikus M. LB1014 Hedgehog signaling reprograms hair follicle mesenchyme toward a hyper-activated state. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.1042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
15
|
Zhao W, Wang L, Chang X, Zhang Y, Xiao F, Xia F. Maternal serum C-reactive protein and white blood cell count at hospital admission as predictors of intrapartum maternal fever: a retrospective case-control study in women having epidural labor analgesia. Int J Obstet Anesth 2022; 50:103537. [DOI: 10.1016/j.ijoa.2022.103537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 01/10/2022] [Accepted: 03/12/2022] [Indexed: 11/24/2022]
|
16
|
Xiao F, Caciagli L, Wandschneider B, Joshi B, Vos SB, Hill A, Galovic M, Long L, Sone D, Trimmel K, Sander JW, Zhou D, Thompson PJ, Baxendale S, Duncan JS, Koepp MJ. Effect of Anti-seizure Medications on Functional Anatomy of Language: A Perspective From Language Functional Magnetic Resonance Imaging. Front Neurosci 2022; 15:787272. [PMID: 35280343 PMCID: PMC8908426 DOI: 10.3389/fnins.2021.787272] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 12/17/2021] [Indexed: 11/13/2022] Open
Abstract
Background In epilepsy, cognitive difficulties are common, partly a consequence of anti-seizure medications (ASM), and cognitive side-effects are often considered to be more disabling than seizures and significantly affect quality of life. Functional MRI during verbal fluency tasks demonstrated impaired frontal activation patterns and failed default mode network deactivation in people taking ASM with unfavourable cognitive profiles. The cognitive effect of ASMs given at different dosages in monotherapy, or in different combinations, remains to be determined. Methods Here, we compared the effects of different drug loads on verbal fluency functional MRI (fMRI) in people (i) taking dual therapy of ASMs either considered to be associated with moderate (levetiracetam, lamotrigine, lacosamide, carbamazepine/oxcarbazepine, eslicarbazepine, valproic acid; n = 119, 56 females) or severe (topiramate, zonisamide) side-effects; n = 119, 56 females), (ii) taking moderate ASMs in either mono-, dual- or triple-therapy (60 subjects in each group), or (iii) taking different dosages of ASMs with moderate side-effect profiles (n = 180). “Drug load” was defined as a composite value of numbers and dosages of medications, normalised to account for the highest and lowest dose of each specific prescribed medication. Results In people taking “moderate” ASMs (n = 119), we observed higher verbal-fluency related to left inferior frontal gyrus and right inferior parietal fMRI activations than in people taking “severe” ASMs (n = 119). Irrespective of the specific ASM, people on monotherapy (n = 60), showed greater frontal activations than people taking two (n = 60), or three ASMs (n = 60). People on two ASMs showed less default mode (precuneus) deactivation than those on monotherapy. In people treated with “moderate” ASMs (n = 180), increased drug load correlated with reduced activation of language-related regions and the right piriform cortex. Conclusion Our study delineates the effects of polytherapy and high doses of ASMs when given in monotherapy on the functional anatomy of language. Irrespective of the cognitive profile of individual ASMs, each additional ASM results in additional alterations of cognitive activation patterns. Selection of ASMs with moderate cognitive side effects, and low doses of ASMs when given in polytherapy, could reduce the cognitive effect.
Collapse
Affiliation(s)
- Fenglai Xiao
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
| | - Lorenzo Caciagli
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States
| | - Britta Wandschneider
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
- Department of Neurology, The Royal London Hospital, London, United Kingdom
| | - Bhavini Joshi
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
| | - Sjoerd B. Vos
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
- UCL Centre for Medical Image Computing, London, United Kingdom
- Department of Neuroradiology, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Andrea Hill
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
| | - Marian Galovic
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zürich, Zurich, Switzerland
| | - Lili Long
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Daichi Sone
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
| | - Karin Trimmel
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Josemir W. Sander
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
- Stichting Epilepsie Instellingen Nederland, Heemstede, Netherlands
| | - Dong Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Pamela J. Thompson
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
| | - Sallie Baxendale
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
| | - John S. Duncan
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
| | - Matthias J. Koepp
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
- Chalfont Centre for Epilepsy, Chalfont St. Peter, United Kingdom
- *Correspondence: Matthias J. Koepp,
| |
Collapse
|
17
|
Marathe K, Alim-Marvasti A, Dahele K, Xiao F, Buck S, O'Keeffe AG, Duncan JS, Vakharia VN. Resective, Ablative and Radiosurgical Interventions for Drug Resistant Mesial Temporal Lobe Epilepsy: A Systematic Review and Meta-Analysis of Outcomes. Front Neurol 2021; 12:777845. [PMID: 34956057 PMCID: PMC8695716 DOI: 10.3389/fneur.2021.777845] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [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: 09/15/2021] [Accepted: 11/01/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: One-third of individuals with focal epilepsy do not achieve seizure freedom despite best medical therapy. Mesial temporal lobe epilepsy (MTLE) is the most common form of drug resistant focal epilepsy. Surgery may lead to long-term seizure remission if the epileptogenic zone can be defined and safely removed or disconnected. We compare published outcomes following open surgical techniques, radiosurgery (SRS), laser interstitial thermal therapy (LITT) and radiofrequency ablation (RF-TC). Methods: PRISMA systematic review was performed through structured searches of PubMed, Embase and Cochrane databases. Inclusion criteria encompassed studies of MTLE reporting seizure-free outcomes in ≥10 patients with ≥12 months follow-up. Due to variability in open surgical approaches, only comparative studies were included to minimize the risk of bias. Random effects meta-analysis was performed to calculate effects sizes and a pooled estimate of the probability of seizure freedom per person-year. A mixed effects linear regression model was performed to compare effect sizes between interventions. Results: From 1,801 screened articles, 41 articles were included in the quantitative analysis. Open surgery included anterior temporal lobe resection as well as transcortical and trans-sylvian selective amygdalohippocampectomy. The pooled seizure-free rate per person-year was 0.72 (95% CI 0.66-0.79) with trans-sylvian selective amygdalohippocampectomy, 0.59 (95% CI 0.53-0.65) with LITT, 0.70 (95% CI 0.64-0.77) with anterior temporal lobe resection, 0.60 (95% CI 0.49-0.73) with transcortical selective amygdalohippocampectomy, 0.38 (95% CI 0.14-1.00) with RF-TC and 0.50 (95% CI 0.34-0.73) with SRS. Follow up duration and study sizes were limited with LITT and RF-TC. A mixed-effects linear regression model suggests significant differences between interventions, with LITT, ATLR and SAH demonstrating the largest effects estimates and RF-TC the lowest. Conclusions: Overall, novel "minimally invasive" approaches are still comparatively less efficacious than open surgery. LITT shows promising seizure effectiveness, however follow-up durations are shorter for minimally invasive approaches so the durability of the outcomes cannot yet be assessed. Secondary outcome measures such as Neurological complications, neuropsychological outcome and interventional morbidity are poorly reported but are important considerations when deciding on first-line treatments.
Collapse
Affiliation(s)
- Kajol Marathe
- Department of Clinical and Experimental Epilepsy, University College London, London, United Kingdom
| | - Ali Alim-Marvasti
- Department of Clinical and Experimental Epilepsy, University College London, London, United Kingdom.,National Hospital for Neurology and Neurosurgery, London, United Kingdom.,Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom
| | - Karan Dahele
- Department of Clinical and Experimental Epilepsy, University College London, London, United Kingdom
| | - Fenglai Xiao
- Department of Clinical and Experimental Epilepsy, University College London, London, United Kingdom
| | - Sarah Buck
- Department of Clinical and Experimental Epilepsy, University College London, London, United Kingdom
| | - Aidan G O'Keeffe
- Department of Statistical Science, University College London, London, United Kingdom
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, University College London, London, United Kingdom.,National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Vejay N Vakharia
- Department of Clinical and Experimental Epilepsy, University College London, London, United Kingdom.,National Hospital for Neurology and Neurosurgery, London, United Kingdom
| |
Collapse
|
18
|
Wu YY, Yang L, Chen L, Xiao F, Tan HZ, Hu GQ. [Comparison of training models for master of public health between China and other countries]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:2208-2213. [PMID: 34954988 DOI: 10.3760/cma.j.cn112338-20200830-01108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
With the accelerating globalization and the implementation of "Belt and Road" initiative proposed by our government, communication and exchanges between China and foreign countries have become more and more frequent than before, and much more international students have chosen to study in China's universities as candidates of master of public health (MPH). However, because China only launched the MPH program in recent years, with the training models being highly similar to the program of master of science in China but quite different from those of main international MPH programs, hindering China's MPH program to become an international one. This paper systematically evaluated existing training models of MPH programs both at home and abroad through literature review and identified major differences and deficiencies of China's MPH program compared to those from other countries: (1) requirement for medical background only; (2) comparatively longer period to complete the program; (3) incomplete curriculum; (4) overemphasizing scientific research competencies but somewhat neglecting practical abilities; and (5) limited career choices, and put forward some suggestions to improve the MPH program of China, including removing requirement for medical background only, shortening the period of MPH program, improving the curriculum of MPH program, and enhancing the training of practical abilities.
Collapse
Affiliation(s)
- Y Y Wu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - L Yang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - L Chen
- Department of Occupational Health and Environmental Sanitation, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - F Xiao
- Department of Toxicology, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - H Z Tan
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - G Q Hu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| |
Collapse
|
19
|
Sone D, Ahmad M, Thompson PJ, Baxendale S, Vos SB, Xiao F, de Tisi J, McEvoy AW, Miserocchi A, Duncan JS, Koepp MJ, Galovic M. Optimal Surgical Extent for Memory and Seizure Outcome in Temporal Lobe Epilepsy. Ann Neurol 2021; 91:131-144. [PMID: 34741484 PMCID: PMC8916104 DOI: 10.1002/ana.26266] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 10/21/2021] [Accepted: 10/31/2021] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Postoperative memory decline is an important consequence of anterior temporal lobe resection (ATLR) for temporal lobe epilepsy (TLE), and the extent of resection may be a modifiable factor. This study aimed to define optimal resection margins for cognitive outcome while maintaining a high rate of postoperative seizure freedom. METHODS This cohort study evaluated the resection extent on postoperative structural MRI using automated voxel-based methods and manual measurements in 142 consecutive patients with unilateral drug refractory TLE (74 left, 68 right TLE) who underwent standard ATLR. RESULTS Voxel-wise analyses revealed that postsurgical verbal memory decline correlated with resections of the posterior hippocampus and inferior temporal gyrus, whereas larger resections of the fusiform gyrus were associated with worsening of visual memory in left TLE. Limiting the posterior extent of left hippocampal resection to 55% reduced the odds of significant postoperative verbal memory decline by a factor of 8.1 (95% CI 1.5-44.4, p = 0.02). Seizure freedom was not related to posterior resection extent, but to the piriform cortex removal after left ATLR. In right TLE, variability of the posterior extent of resection was not associated with verbal and visual memory decline or seizures after surgery. INTERPRETATION The extent of surgical resection is an independent and modifiable risk factor for cognitive decline and seizures after left ATLR. Adapting the posterior extent of left ATLR might optimize postoperative outcome, with reduced risk of memory impairment while maintaining comparable seizure-freedom rates. The current, more lenient, approach might be appropriate for right ATLR. ANN NEUROL 2021.
Collapse
Affiliation(s)
- Daichi Sone
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Maria Ahmad
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - Pamela J Thompson
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - Sallie Baxendale
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - Sjoerd B Vos
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK.,Centre for Medical Image Computing (CMIC), University College London, London, UK.,Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Fenglai Xiao
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK
| | - Jane de Tisi
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - Andrew W McEvoy
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - Anna Miserocchi
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK
| | - Matthias J Koepp
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK
| | - Marian Galovic
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
| |
Collapse
|
20
|
Trimmel K, Vos SB, Caciagli L, Xiao F, van Graan LA, Winston GP, Koepp MJ, Thompson PJ, Duncan JS. Decoupling of functional and structural language networks in temporal lobe epilepsy. Epilepsia 2021; 62:2941-2954. [PMID: 34642939 PMCID: PMC8776336 DOI: 10.1111/epi.17098] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 04/09/2021] [Revised: 09/25/2021] [Accepted: 09/29/2021] [Indexed: 12/01/2022]
Abstract
Objective To identify functional and structural alterations in language networks of people with temporal lobe epilepsy (TLE), who frequently present with naming and word‐finding difficulties. Methods Fifty‐five patients with unilateral TLE (29 left) and 16 controls were studied with auditory and picture naming functional magnetic resonance imaging (fMRI) tasks. Activation maxima in the left posterobasal temporal lobe were used as seed regions for whole‐brain functional connectivity analyses (psychophysiological interaction). White matter language pathways were investigated using diffusion tensor imaging and neurite orientation dispersion and density imaging metrics extracted along fiber bundles starting from fMRI‐guided seeds. Regression analyses were performed to investigate the correlation of functional connectivity with diffusion MRI metrics. Results In the whole group of patients and controls, weaker functional connectivity from the left posterobasal temporal lobe (1) to the bilateral anterior temporal lobe, precentral gyrus, and lingual gyrus during auditory naming and (2) to the bilateral occipital cortex and right fusiform gyrus during picture naming was associated with decreased neurite orientation dispersion and higher free water fraction of white matter tracts. Compared to controls, TLE patients exhibited fewer structural connections and an impaired coupling of functional and structural metrics. Significance TLE is associated with an impairment and decoupling of functional and structural language networks. White matter damage, as evidenced by diffusion abnormalities, may contribute to impaired functional connectivity and language dysfunction in TLE.
Collapse
Affiliation(s)
- Karin Trimmel
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, UK.,Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Sjoerd B Vos
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, UK.,Centre for Medical Image Computing, University College London, London, UK.,Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Lorenzo Caciagli
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, UK
| | - Fenglai Xiao
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, UK.,Department of Neurology, West China of Sichuan University, Chengdu, China
| | | | - Gavin P Winston
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, UK.,Division of Neurology, Department of Medicine, Queen's University, Kingston, Canada
| | - Matthias J Koepp
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, UK
| | - Pamela J Thompson
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, UK
| | - John S Duncan
- Epilepsy Society MRI Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, UK
| |
Collapse
|
21
|
Li HX, Tang XK, Xu SY, Luo XM, Sun GY, Xu HT, Zhang PJ, Xiao F. [A retrospective safety study on screening of the samples in the clinical biobank of Beijing Hospital]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:1149-1152. [PMID: 34619936 DOI: 10.3760/cma.j.cn112150-20210608-00557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
To investigate whether the laboratory specimens preserved in Beijing Hospital Biobank during a specific period had been contaminated by SARS-Cov-2 through a cross-sectional study, and to establish a retrospective biobank safety screening system. Laboratory specimens were collected from the Department of Respiratory and Critical Care Medicine and the Fever Clinic of Beijing Hospital from November 1, 2019 to January 22, 2020, nucleic acid and serological antibody testing were performed for SARS-CoV-2 in these specimens (including 79 serum, 20 urine, 42 feces and 21 bronchoalveolar lavage fluid specimens). The safety of the stored samples during this period was defined by negative and positive results. Both the nucleic acid test and serological antibody test showed negative for SARS-CoV-2, indicating that these specimens were safely stored in the biobank. High-risk specimens collected in our hospital during the early stage of the COVID-19 outbreak are free of SARS-CoV-2, and a safety screening strategy for the clinical biobank is established to ensure the biosafety of these samples.
Collapse
Affiliation(s)
- H X Li
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - X K Tang
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - S Y Xu
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - X M Luo
- Beijing Hospital, National Center of Gerontology, the MOH Key Laboratory of Geriatrics, Beijing 100730, China
| | - G Y Sun
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H T Xu
- Department of Clinical Laboratory, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P J Zhang
- Department of Scientific Research Administration, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - F Xiao
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| |
Collapse
|
22
|
Li X, Jiang Y, Li W, Qin Y, Li Z, Chen Y, Tong X, Xiao F, Zuo X, Gong Q, Zhou D, Yao D, An D, Luo C. Disrupted functional connectivity in white matter resting-state networks in unilateral temporal lobe epilepsy. Brain Imaging Behav 2021; 16:324-335. [PMID: 34478055 DOI: 10.1007/s11682-021-00506-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2021] [Indexed: 02/08/2023]
Abstract
Unilateral temporal lobe epilepsy (TLE) is the most common type of focal epilepsy characterized by foci in the unilateral temporal lobe grey matters of regions such as the hippocampus. However, it remains unclear how the functional features of white matter are altered in TLE. In the current study, resting-state functional magnetic resonance imaging (fMRI) was performed on 71 left TLE (LTLE) patients, 79 right TLE (RTLE) patients and 47 healthy controls (HC). Clustering analysis was used to identify fourteen white matter networks (WMN). The functional connectivity (FC) was calculated among WMNs and between WMNs and grey matter. Furthermore, the FC laterality of hemispheric WMNs was assessed. First, both patient groups showed decreased FCs among WMNs. Specifically, cerebellar white matter illustrated decreased FCs with the cerebral superficial WMNs, implying a dysfunctional interaction between the cerebellum and the cerebral cortex in TLE. Second, the FCs between WMNs and the ipsilateral hippocampus (grey matter foci) were also reduced in patient groups, which may suggest insufficient functional integration in unilateral TLE. Interestingly, RTLE showed more severe abnormalities of white matter FCs, including links to the bilateral hippocampi and temporal white matter, than LTLE. Taken together, these findings provide functional evidence of white matter abnormalities, extending the understanding of the pathological mechanism of white matter impairments in unilateral TLE.
Collapse
Affiliation(s)
- Xuan Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Second North Jianshe Road, Chengdu, 610054, People's Republic of China
| | - Yuchao Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Second North Jianshe Road, Chengdu, 610054, People's Republic of China
| | - Wei Li
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610054, People's Republic of China
| | - Yingjie Qin
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610054, People's Republic of China
| | - Zhiliang Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Second North Jianshe Road, Chengdu, 610054, People's Republic of China
| | - Yan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Second North Jianshe Road, Chengdu, 610054, People's Republic of China
| | - Xin Tong
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610054, People's Republic of China
| | - Fenglai Xiao
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610054, People's Republic of China
| | - Xiaojun Zuo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Second North Jianshe Road, Chengdu, 610054, People's Republic of China
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610054, People's Republic of China
| | - Dong Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610054, People's Republic of China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Second North Jianshe Road, Chengdu, 610054, People's Republic of China
| | - Dongmei An
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610054, People's Republic of China
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Second North Jianshe Road, Chengdu, 610054, People's Republic of China.
| |
Collapse
|
23
|
Bellmunt J, Powles T, van der Heijden M, Galsky M, He P, Wang Z, Xiao F, Jones F, Scott M, Walker J, Angra N, Gupta A, Drakaki A, Kimura G, Mizokami A, Wildsmith S. 708P PD-L1 as a predictor of survival in patients with metastatic urothelial carcinoma (mUC) from the phase III DANUBE trial of durvalumab (D) or durvalumab plus tremelimumab (D+T) versus standard of care chemotherapy (SoC). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
|
24
|
Li YD, Liu X, Li ZW, Wang WJ, Li YM, Cao ZP, Luan P, Xiao F, Gao HH, Guo HS, Wang N, Li H, Wang SZ. A combination of genome-wide association study and selection signature analysis dissects the genetic architecture underlying bone traits in chickens. Animal 2021; 15:100322. [PMID: 34311193 DOI: 10.1016/j.animal.2021.100322] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 06/23/2021] [Accepted: 06/25/2021] [Indexed: 01/01/2023] Open
Abstract
The bones of chicken play an important role in supporting and protecting the body. The growth and development of bones have a substantial influence on the health and production performance in chickens. However, genetic architecture underlying chicken bone traits is not well understood. The objectives of this study are to dissect the genetic basis of bone traits in chickens and to identify valuable genes and genetic markers for chicken breeding. We performed a combination of genome-wide association study (GWAS) and selection signature analysis (fixation index values and nucleotide diversity ratios) in an F2 crossbred experimental population with different genetic backgrounds (broiler × layer) to identify candidate genes and significant variants related to femur, shank, keel length, chest width, metatarsal claw weight, metatarsal length, and metatarsal circumference. A total of 545 individuals were genotyped based on the whole genome re-sequencing method (26 F0 individuals were re-sequenced at 10 × coverage; 519 F2 individuals were re-sequenced at 3 × coverage). A total of 2 028 112 single-nucleotide polymorphisms (SNPs) remained to carry out analysis after quality control and imputation. The integration of GWAS and selection signature analysis indicated that all significant SNPs responsible for bone traits were mainly localized on chicken chromosomes 1, 4, and 27. Finally, we identified 21 positional candidate genes that might regulate chicken bone growth and development, including LRCH1, RB1, FNDC3A, MLNR, CAB39L, FOXO1, LHFP, TRPC4, POSTN, SMAD9, RBPJ, PPARGC1A, SLIT2, NCAPG, NKX3-2, CPZ, SPOP, NGFR, SOST, ZNF652, and HOXB3. Additionally, an array of uncharacterized genes was identified. The findings provide an in-depth understanding of the genetic architecture of chicken bone traits and offer a molecular basis for applying genomics in practical chicken breeding.
Collapse
Affiliation(s)
- Y D Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - X Liu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Z W Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - W J Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Y M Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Z P Cao
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - P Luan
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - F Xiao
- Fujian Sunnzer Biotechnology Development Co., Ltd, Guangze, Fujian Province 354100, PR China
| | - H H Gao
- Fujian Sunnzer Biotechnology Development Co., Ltd, Guangze, Fujian Province 354100, PR China
| | - H S Guo
- Fujian Sunnzer Biotechnology Development Co., Ltd, Guangze, Fujian Province 354100, PR China
| | - N Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - H Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - S Z Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China.
| |
Collapse
|
25
|
Li Z, Liu X, Li Y, Wang W, Wang N, Xiao F, Gao H, Guo H, Li H, Wang S. Chicken C/EBPζ gene: Expression profiles, association analysis, and identification of functional variants for abdominal fat. Domest Anim Endocrinol 2021; 76:106631. [PMID: 33979717 DOI: 10.1016/j.domaniend.2021.106631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 04/06/2021] [Accepted: 04/06/2021] [Indexed: 10/21/2022]
Abstract
CCAAT enhancer binding protein ζ (C/EBPζ) plays an important role in adipose proliferation and differentiation in humans. However, very little is known about the effect of C/EBPζ on the growth and development of adipose tissues in domesticated animals. The present study attempted to investigate the mRNA expression profiles of chicken C/EBPζ in a variety of tissues; analyze the association of its variants with abdominal fat; and identify the functional variants for abdominal fat. The tissue expression profiles revealed that C/EBPζ was highly expressed in 19 tissues obtained from broilers. The expression level of C/EBPζ in fat broilers was significantly lower than that in lean broilers in the duodenum, ileum, cecum, kidney, pectoral muscle, and liver (P < 0.05). Among 170 polymorphic loci of C/EBPζ, 9 single nucleotide polymorphisms (SNPs) demonstrated a significant association with chicken abdominal fat traits (P < 0.05) as well as significant discrepancies in their allelic frequencies between fat and lean birds. Particularly, only C/EBPζ g.7085A>C exhibited significant correlation with abdominal fat traits (P < 0.00015) using the Bonferroni method. The results revealed that, in preadipocyte immortalized cells (ICPI), the luciferase activity of the A allele of g.7085A>C locus was remarkably stronger than that of the C allele (P < 0.05). In silico analysis showed that g.7085A>C locus was located in the binding region of the transcription factor SOX5, which possesses the ability to transform C/EBPζ transcription efficiency through binding with SOX5. In summary, the data obtained from this study suggested that C/EBPζ is a potential candidate gene responsible for abdominal fat deposition in chicken and that g.7085A>C is a functional SNP that can be promisingly leveraged for marker assisted selection (MAS) in future chicken breeding programs.
Collapse
Affiliation(s)
- Z Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - X Liu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - Y Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - W Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - N Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - F Xiao
- Fujian Sunnzer Biotechnology Development Co., Ltd, 354100, Guangze, Fujian Province, China
| | - H Gao
- Fujian Sunnzer Biotechnology Development Co., Ltd, 354100, Guangze, Fujian Province, China
| | - H Guo
- Fujian Sunnzer Biotechnology Development Co., Ltd, 354100, Guangze, Fujian Province, China
| | - H Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - S Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
| |
Collapse
|
26
|
Mauro D, Lin X, Guggino G, Chong D, Raimondo S, MA D, Xiao F, Du W, Lo Pizzo M, Zhang L, Rizzo A, Alessandro R, Lu L, Ciccia F. OP0042 BLOCKING OF CD103+ TISSUE RESIDENT MEMORY T CELLS (TRM) AS A THERAPEUTIC STRATEGY IN SJOGREN’S SYNDROME. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.2649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Tissue-resident memory T cells (TRM), are a recently identified T cells population featuring tissue localization and expression of markers of tissue homing, CD69 and CD103. Recently, the expansion of CD8+ TRMs and their involvement in the sialadenitis was described in a murine model of SS. However, CD4+ and CD8+ TRM’s functional relevance in pSS is still not fully understood, and the TRM therapeutic targeting unexplored.Objectives:The study aimed to address the role of CD4+ and CD8+ TRMs in the pathogenesis of pSS and to explore the therapeutic targeting of the tissue residency marker of TRM CD103.Methods:An animal model of experimental (ESS) obtained by immunization of female C57BL/6 mice (n=10) with salivary glands (SG) protein extract and Freund’s complete adjuvant used to investigate the dynamic of infiltration of SG by CD4+ and CD8+ TRMs, their frequency, and the impact of CD103 blockade. For the therapeutic intervention, at 10-weeks post-immunization, the salivary gland was cannulated via Wharton’s duct, and an anti-CD103 neutralizing antibody or vehicle-injected. The mice’s saliva flow rate was assessed, and SGs were analyzed by Flow-cytometry and immunohistochemistry (IHC).The frequency and localization of TRMs was analyzed in minor SG of sicca syndrome (nSS) and pSS patients (n=39) by flow cytometry and IHC. The expression of genes involved in the tissue retention of TRMs was assessed in SG by RT-PCR.Results:Upon the ESS progression, a significant progressive increase in CD45+CD103+ cells frequency was observed from 5wk to 20wk post-immunization (p<0.001), where the CD8+ were the most abundant, followed by CD4+. Consistently, CD103+CD8+ T cells were detected within the lymphocytic infiltration of SG from ESS mice. Sorted purified SG CD10+CD3+CD8+ T cells showed higher Granzyme B, TNF-alpha expression compared to CD103-CD3+CD8+ at both mRNA and protein levels. Notably, ESS mice treated with anti-CD103 showed improvement in salivary function (p<0.05) and reduced lymphocytic infiltrations measured as focus score (FS) (p<0.01) and area-fraction (p<0.01). Consistently, anti-CD103 treatment consistently reduced CD103+ cells and IFN-gamma+, Granzyme B+, and TNFa+ CD8+ cells. We next performed phenotypic analysis of CD45+CD103+ immune cells in the SG of pSS patients observing an increase in both with CD8+CD103+CD69+ and CD4+CD103+CD69+ (p<0.05). Finally, IHC showed that the expansion of TRMs in pSS salivary glands was accompanied by a down-regulation of E-cadherin glandular expression and their migration outside the epithelium in the context of inflammatory infiltrates. SG of patients with pSS showed a significant up-regulation of BLIMP1, KFL-2, and S1PR1 and down-regulation of ITGB2. CXCL9 and CXCL10, and IL-15 involved in the tissue recruitment and long-term survival of TRMs were significantly modulated in pSS salivary glands.Conclusion:TRM are expanded and activated in the SG of pSS and ESS, participating in the organization of tissue inflammation. Although the mechanisms behind this expansion are still not fully understood, CD103 could be a valuable novel therapeutic target to prevent lymphocytic infiltrations and glandular destruction in Sjogren syndrome.Disclosure of Interests:None declared
Collapse
|
27
|
Zhu J, Wu L, Zhou Y, Wang R, Chen S, Yu S, Zheng S, Xiao F, Li J. POS0833 A RETROSPECTIVE COHORT STUDY IN CHINESE PATIENTS WITH ADULT POLYMYOSITIS AND DERMATOMYOSITIS: RISK OF COMORBIDITIES AND SUBCLASSIFICATION USING MACHINE LEARNING. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Idiopathic inflammatory myopathy (IIM), also known as myositis, refers to a group of heterogeneous disorders including polymyositis (PM), dermatomyositis (DM), inclusion body myositis and immune-mediated necrotising myopathy. Phenotype, pathogenesis, and prognosis vary due to multi-organ involvement and comorbidities. With the clinical application of MSAs, a new classification system for myositis was explored to reduce confusion between subgroups. But it is far from showing the full picture of myositis due to high heterogeneity. Therefore, it is necessary to systematically evaluate the relevant risk factors of myositis for ILD, other rheumatic diseases, and malignancy for better clinical vigilance. And further exploring the subclassification of myositis is critical.Objectives:To identify the risk factors in Chinese patients with adult polymyositis and dermatomyositis for their comorbidities and explore a subclassification system.Methods:Clinical records of 397 patients with idiopathic inflammatory myopathies were retrospectively reviewed. Logistic regression was used to identify potential risk factors for interstitial lung disease (ILD), other rheumatic diseases, and malignancy after bivariate analysis. Hierarchical clustering and decisional tree were utilized to identify subgroups and explore a subclassification system.Results:A total of 119 polymyositis and 191 dermatomyositis patients were included. Anti-PM/Scl, anti-Ro52, anti-aminoacyl-tRNA synthetase and anti-MDA5 (adjusted odds ratios (AOR)=4.779, 1.917, 5.092 and 7.714 respectively) antibodies were risks (p<0.05), whereas overlapping malignancy was protective (AOR=0.107; p=0.002) for ILD across polymyositis, dermatomyositis and the total group. In subgroup models, Raynaud’s phenomenon, arthralgia and semi-quantitative anti-nuclear antibody (AOR=51.233, 4.261, 3.047 respectively) were risks for other overlapping rheumatic diseases (p<0.05). For overlapping malignancy, male and anti-TIF1γ antibodies (AOR=2.533, 16.949) were risks (p<0.05), whereas disease duration and combination of ILD (AOR=0.954, 0.106) were protective in the total group (p<0.05); while anti-NXP2 antibodies were identified as risk factors (AOR=73.152; p=0.038) in polymyositis. Hierarchical clustering suggested a subclassification with 6 subgroups: malignancy overlapping dermatomyositis, classical dermatomyositis, polymyositis with severe muscle involvement, dermatomyositis with ILD, polymyositis with ILD, and overlapping of myositis with other rheumatic diseases according to the characteristics of grouped patients. Accuracy of the classification and regression trees model was 0.768 (95% CI 0.711 to 0.819) on training set and 0.633 (95%CI 0.499 to 0.754) on test set.Conclusion:Accompanying ILD, other rheumatic diseases and malignancy are strongly associated with clinical manifestation and myositis-specific or myositis-associated autoantibodies among Chinese polymyositis and dermatomyositis patients. The subclassification system proposed a more precise phenotype defining toward stratified treatments.Acknowledgements:The study was supported by the Natural Science Foundation of China [No. 81803932] and the Natural Science Foundation of Guangdong Province [No. 2018030310025 and 2017A030313868]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscriptDisclosure of Interests:None declared
Collapse
|
28
|
Wang WJ, Guo YQ, Xie KJ, Li YD, Li ZW, Wang N, Xiao F, Guo HS, Li H, Wang SZ. A functional variant in the promoter region of IGF1 gene is associated with chicken abdominal fat deposition. Domest Anim Endocrinol 2021; 75:106584. [PMID: 33276215 DOI: 10.1016/j.domaniend.2020.106584] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 10/26/2020] [Accepted: 11/03/2020] [Indexed: 12/29/2022]
Abstract
Insulin-like growth factor 1 (IGF1) plays an important role in the regulation of cell growth, proliferation, differentiation, and apoptosis. Previously several studies revealed that genotypes of chicken IGF1 c.-366A > C were significantly associated with abdominal fat weight and body weight in chickens. But the underlying mechanism is still unknown. To investigate the mechanism underlying the association, herein, we performed IGF1 gene mRNA expression profiling, a dual-luciferase reporter assay and electrophoretic mobility shift assay (EMSA). Quantitative real-time PCR results showed that IGF1 gene was widely expressed in 14 tissues. The mRNA expression levels of IGF1 gene in both abdominal fat and jejunum were significantly higher in fat broilers than in lean broilers. However, the opposite results were observed in the pancreas. The reporter gene assay showed that the promoter luciferase activity of allele A was significantly higher than that of allele C (P < 0.05). In addition, the luciferase activity of allele A promoted by the transcription factor AP1 and OCT1 was higher than that of allele C (P < 0.05). Electrophoretic mobility shift assay result showed that allele A binding to the transcription factor AP1 and OCT1 was stronger than that of allele C. All in all, our data indicated that the IGF1 gene c.-366A > C is a functional SNP responsible for chicken adipose deposition.
Collapse
Affiliation(s)
- W J Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - Y Q Guo
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - K J Xie
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - Y D Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - Z W Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - N Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - F Xiao
- Fujian Sunnzer Biotechnology Development Co, Ltd, Guangze, Fujian Province 354100, China
| | - H S Guo
- Fujian Sunnzer Biotechnology Development Co, Ltd, Guangze, Fujian Province 354100, China
| | - H Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - S Z Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
| |
Collapse
|
29
|
Xu HY, Dai Q, Chen QX, Xiao F, Dai YH. MiR-802 inhibits the malignant biological behavior of oral squamous cell carcinoma by targeting proto-oncogene MET. Eur Rev Med Pharmacol Sci 2021; 24:4255-4262. [PMID: 32373961 DOI: 10.26355/eurrev_202004_21005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Oral squamous cell carcinoma (OSCC) is one of the frequently occurring malignancies, but effective treatments are lacking. It is believed that exploring new molecular targets could help us to improve the treatment of OSCC. Therefore, we hope to find a new miRNA target to control OSCC. PATIENTS AND METHODS qPCR and Western blots were used to test the expressions of miR-802 and target gene in OSCC tissues and cell lines. Luciferase reporter assay was performed to check whether miR-802 could directly target MET. CCK-8, wound healing, cell invasion, colony formation, and tumor growth assays were used to determine the functions of miR-802 and MET in the malignant biological behavior of OSCC. RESULTS The results suggested that miR-802 was low expressed in OSCC tissues and cell lines. Overexpression of miR-802 inhibited the cell viability, colony formation, migration and invasion of Tca8113 and SCC9 cells, and tumor growth in vivo. It was predicted that miR-802 might target the mRNA of proto-oncogene MET. Overexpressing miR-802 suppressed the expression of wild-type MET at both protein and mRNA levels in Tca8113 and SCC9 cells. Moreover, the expression of MET was high and significantly correlated with the low expression of miR-802 in OSCC tissues. Overexpression of MET in Tca8113 and SCC9 cells reduced the tumor-suppressive effects, which was induced by miR-802 overexpression. CONCLUSIONS MiR-802 suppresses the malignant biological behavior of OSCC by targeting proto-oncogene MET. This work provides a new potential molecular target for treating OSCC.
Collapse
Affiliation(s)
- H-Y Xu
- Department of General Emergency, The Affiliated Stomatological Hospital of Nanchang University, The Key Laboratory of Oral Biomedicine, Jiangxi Province, Nanchang, China.
| | | | | | | | | |
Collapse
|
30
|
Balestrini S, Koepp MJ, Gandhi S, Rickman HM, Shin GY, Houlihan CF, Anders-Cannon J, Silvennoinen K, Xiao F, Zagaglia S, Hudgell K, Ziomek M, Haimes P, Sampson A, Parker A, Helen Cross J, Pardington R, Nastouli E, Swanton C, Sander JW, Sisodiya SM. Clinical outcomes of COVID-19 in long-term care facilities for people with epilepsy. Epilepsy Behav 2021; 115:107602. [PMID: 33279440 PMCID: PMC7643621 DOI: 10.1016/j.yebeh.2020.107602] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 10/21/2020] [Accepted: 10/24/2020] [Indexed: 01/12/2023]
Abstract
In this cohort study, we aim to compare outcomes from coronavirus disease 2019 (COVID-19) in people with severe epilepsy and other co-morbidities living in long-term care facilities which all implemented early preventative measures, but different levels of surveillance. During 25-week observation period (16 March-6 September 2020), we included 404 residents (118 children), and 1643 caregivers. We compare strategies for infection prevention, control, and containment, and related outcomes, across four UK long-term care facilities. Strategies included early on-site enhancement of preventative and infection control measures, early identification and isolation of symptomatic cases, contact tracing, mass surveillance of asymptomatic cases and contacts. We measured infection rate among vulnerable people living in the facilities and their caregivers, with asymptomatic and symptomatic cases, including fatality rate. We report 38 individuals (17 residents) who tested severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive, with outbreaks amongst residents in two facilities. At Chalfont Centre for Epilepsy (CCE), 10/98 residents tested positive: two symptomatic (one died), eight asymptomatic on weekly enhanced surveillance; 2/275 caregivers tested positive: one symptomatic, one asymptomatic. At St Elizabeth's (STE), 7/146 residents tested positive: four symptomatic (one died), one positive during hospital admission for symptoms unrelated to COVID-19, two asymptomatic on one-off testing of all 146 residents; 106/601 symptomatic caregivers were tested, 13 positive. In addition, during two cycles of systematically testing all asymptomatic carers, four tested positive. At The Meath (TM), 8/80 residents were symptomatic but none tested; 26/250 caregivers were tested, two positive. At Young Epilepsy (YE), 8/80 children were tested, all negative; 22/517 caregivers were tested, one positive. Infection outbreaks in long-term care facilities for vulnerable people with epilepsy can be quickly contained, but only if asymptomatic individuals are identified through enhanced surveillance at resident and caregiver level. We observed a low rate of morbidity and mortality, which confirmed that preventative measures with isolation of suspected and confirmed COVID-19 residents can reduce resident-to-resident and resident-to-caregiver transmission. Children and young adults appear to have lower infection rates. Even in people with epilepsy and multiple co-morbidities, we observed a high percentage of asymptomatic people suggesting that epilepsy-related factors (anti-seizure medications and seizures) do not necessarily lead to poor outcomes.
Collapse
Affiliation(s)
- Simona Balestrini
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK; Chalfont Centre for Epilepsy (CCE), Chalfont St Peter, Bucks SL9 0RJ, UK
| | - Matthias J Koepp
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK; Chalfont Centre for Epilepsy (CCE), Chalfont St Peter, Bucks SL9 0RJ, UK.
| | - Sonia Gandhi
- The Francis Crick Institute, London NW1 1AT, UK; UCL Cancer Institute, London WC1E 6DD, UK; Department of Virology, University College London Hospitals, NHS Foundation Trust, London NW1 2PG, UK
| | - Hannah M Rickman
- Department of Virology, University College London Hospitals, NHS Foundation Trust, London NW1 2PG, UK
| | - Gee Yen Shin
- Department of Virology, University College London Hospitals, NHS Foundation Trust, London NW1 2PG, UK
| | - Catherine F Houlihan
- Department of Virology, University College London Hospitals, NHS Foundation Trust, London NW1 2PG, UK
| | | | - Katri Silvennoinen
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
| | - Fenglai Xiao
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
| | - Sara Zagaglia
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
| | | | | | - Paul Haimes
- St. Elizabeth (STE), Much Hadham, Herts SG106EW, UK
| | - Adam Sampson
- St. Elizabeth (STE), Much Hadham, Herts SG106EW, UK
| | - Annie Parker
- The Meath (TM), Westbrook Road, Godalming GU7 2QH, UK
| | - J Helen Cross
- Great Ormond Street Hospital (GOSH) and UCL Institute of Child Health, WC1N 1EH, UK; Young Epilepsy (YE), Surrey RH7 6PW, UK
| | | | - Eleni Nastouli
- Department of Virology, University College London Hospitals, NHS Foundation Trust, London NW1 2PG, UK; Department of Population, Policy and Practice, UCL GOS Institute of Child Health, London WC1N 1EH, UK
| | - Charles Swanton
- The Francis Crick Institute, London NW1 1AT, UK; UCL Cancer Institute, London WC1E 6DD, UK; Department of Virology, University College London Hospitals, NHS Foundation Trust, London NW1 2PG, UK
| | - Josemir W Sander
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK; Chalfont Centre for Epilepsy (CCE), Chalfont St Peter, Bucks SL9 0RJ, UK; Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands.
| | - Sanjay M Sisodiya
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK; Chalfont Centre for Epilepsy (CCE), Chalfont St Peter, Bucks SL9 0RJ, UK
| |
Collapse
|
31
|
Dong SY, Wang J, Zhang SY, Zhang YD, Yang Y, Xiao F. [Perioperative safety and feasibility of simultaneous off-pump coronary artery bypass grafting with non-cardiac surgical procedures of moderate-to-severe severity]. Zhonghua Wai Ke Za Zhi 2021; 59:46-51. [PMID: 33412633 DOI: 10.3760/cma.j.cn112139-20200408-00286] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To examine the perioperative safety and feasibility of simultaneous off-pump coronary artery bypass grafting (OPCAB) with non-cardiac surgical procedures of moderate-to-severe severity. Methods: The perioperative results of 54 patients underwent simultaneous OPCAB with non-cardiac surgical procedures from September 2013 to January 2019 at Department of Cardiac Surgery, Peking University First Hospital were assessed retrospectively. There were 46 males and 8 females, aging (65.8±8.8) years (range: 41 to 85 years). All simultaneous non-cardiac surgical procedures, including vascular (n=1), thoracic (n=26), general (n=12) and urologic surgical procedures (n=15), were assessed to be of moderate-to-severe grade by operative severity scoring system. Perioperative results were compared between the OPCAB patients who underwent simultaneous non-cardiac surgical procedures (n=54) and 1∶2 matched patients who underwent isolated OPCAB performed most recently by the same cardiac team with similar procedures accordingly (n=108), using t test, Mann-Whitney U test, χ2 test or Fisher exact test. Results: All baseline factors were matched between the two groups, with no significant difference on European system for cardiac operative risk evaluation (EuroSCORE) Ⅱ (1.185(0.758)% vs. 1.215(0.905)%, Z=‒0.036, P=0.972). No perioperative death was observed in the two groups. Although patients underwent simultaneous non-cardiac surgical procedures showed prolonged operation duration time ((324.9±97.1) minutes vs. (166.7±36.7) minites, t=11.564, P<0.01) and increased intraoperaive blood loss ((462.2±269.6) ml vs. (304.5±177.8) ml, t=3.866, P<0.01), primary postoperative complications, including perioperative myocardial infarction, atrial fibrillation, perioperative stroke, acute renal failure, wound infection, and bleeding reoperation did not show significant differences between the two groups (all P>0.05), while total blood transfusion volume, mechanical ventilation time and intensive care unit residence time also showed no significant differences between the two groups (all P>0.05). Conclusion: Simultaneous OPCAB with non-cardiac surgical procedures of moderate-to-severe severity in patients with operative indications are safe and feasible, and are not associated with increased postoperative risks when compared with isolated OPCAB.
Collapse
Affiliation(s)
- S Y Dong
- Department of Cardiac Surgery, Peking University First Hospital, Beijing 100034, China
| | - J Wang
- Department of Cardiac Surgery, Peking University First Hospital, Beijing 100034, China
| | - S Y Zhang
- Department of Cardiac Surgery, Peking University First Hospital, Beijing 100034, China
| | - Y D Zhang
- Department of Cardiac Surgery, Peking University First Hospital, Beijing 100034, China
| | - Y Yang
- Department of Cardiac Surgery, Peking University First Hospital, Beijing 100034, China
| | - F Xiao
- Department of Cardiac Surgery, Peking University First Hospital, Beijing 100034, China
| |
Collapse
|
32
|
Xiao F, Shi X, Huang P, Zeng X, Wang L, Zeng J, Liu C, Yan B, Song H, Xu Y, Han L, Zhao Q, Lin M, Li X. Dose-response relationship between serum fibroblast growth factor 21 and liver fat content in non-alcoholic fatty liver disease. Diabetes Metab 2020; 47:101221. [PMID: 33373666 DOI: 10.1016/j.diabet.2020.101221] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Revised: 12/03/2020] [Accepted: 12/06/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND & AIM Although serum fibroblast growth factor 21 (FGF21) levels are associated with liver fat content in non-alcoholic liver fat disease (NAFLD), the precise nature of the association remains undetermined. Therefore, this study aimed to explore the potential dose-response relationship between FGF21 and liver fat content in NAFLD. METHODS For this exploratory study from a randomized trial, 220 NAFLD patients with central obesity were recruited via community-based screening and randomly assigned to either control, moderate or vigorous-moderate exercise groups for 12 months. After this exercise intervention, patients were followed-up for a further 12 months. Serum FGF21 levels were measured by ELISA. Intrahepatic triglyceride (IHTG) content was determined by proton magnetic resonance spectroscopy. RESULTS Of the 220 patients, 149 (67.7%) were female; mean age was 53.9 ± 7.1 years and mean BMI was 28.0 ± 2.9 kg/m2 for all patients. Baseline IHGT increased gradually (P = 0.029 for trend) according to baseline serum FGF21 quartiles 1, 2, 3 and 4 (212.3, 358.9, 538.7 and 793.5 pg/mL, respectively). On grouping the distribution of serum FGF21 level changes into quartiles at month 12, the relative IHTG loss increased as serum FGF21 levels were reduced (P = 0.004 for trend). A similar trend was observed at month 24 (P = 0.006 for trend). Multivariate linear regression analysis revealed that changes in serum FGF21 levels were independently associated with changes in IHTG at both month 12 [β (SE), 0.136 (0.118); P = 0.048] and month 24 [β (SE), 0.152 (0.139); P = 0.041]. Using restricted cubic spline regression, changes in serum FGF21 were strongly and positively associated with their corresponding relative IHTG loss at both month 12 and follow-up (Poverall = 0.017, Pnon-linear = 0.044 and Poverall = 0.020, Pnon-linear = 0.361, respectively, for dose-response). CONCLUSION Serum FGF21 is strongly associated with liver fat content in a dose-response manner in centrally obese NAFLD patients. These findings support the use of serum FGF21 as a biomarker of liver fat content in NAFLD.
Collapse
Affiliation(s)
- F Xiao
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China; Xiamen Clinical Medical Centre for Endocrine and Metabolic Diseases, Xiamen, China; Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, China; School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - X Shi
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China; Xiamen Clinical Medical Centre for Endocrine and Metabolic Diseases, Xiamen, China; Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, China; School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - P Huang
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China; Xiamen Clinical Medical Centre for Endocrine and Metabolic Diseases, Xiamen, China; Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, China; School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - X Zeng
- Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, China; Xiamen Diabetes Institute, Xiamen, China
| | - L Wang
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China; Xiamen Clinical Medical Centre for Endocrine and Metabolic Diseases, Xiamen, China; Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, China
| | - J Zeng
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China; Xiamen Clinical Medical Centre for Endocrine and Metabolic Diseases, Xiamen, China; Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, China
| | - C Liu
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China; Xiamen Clinical Medical Centre for Endocrine and Metabolic Diseases, Xiamen, China; Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, China
| | - B Yan
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China; Xiamen Clinical Medical Centre for Endocrine and Metabolic Diseases, Xiamen, China; Xiamen Diabetes Institute, Xiamen, China
| | - H Song
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China; Xiamen Clinical Medical Centre for Endocrine and Metabolic Diseases, Xiamen, China; Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, China
| | - Y Xu
- School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - L Han
- School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - Q Zhao
- School of Medicine, Xiamen University, Xiamen, China
| | - M Lin
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China; Xiamen Clinical Medical Centre for Endocrine and Metabolic Diseases, Xiamen, China; Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, China; Xiamen Diabetes Institute, Xiamen, China; School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
| | - X Li
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China; Xiamen Clinical Medical Centre for Endocrine and Metabolic Diseases, Xiamen, China; Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, China; Xiamen Diabetes Institute, Xiamen, China; School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
| |
Collapse
|
33
|
Qin SJ, Wang BY, Li BR, Zheng K, Cai Y, Li RB, Zeng M, Xiao F, Xu XY. [Effect of c-myc gene silence on the expression of oncogenes and apoptotic genes in hepatocytes treated with PM(2).5]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2020; 38:657-663. [PMID: 33036527 DOI: 10.3760/cma.j.cn121094-20200326-00056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Objective: To construct the c-myc gene silenced hepatocytes, study the effect of c-myc gene silence on expression of oncogenes and apoptosis genes in hepatocytes treated with PM2.5. Methods: According to the c-myc gene mRNA sequence provided by GenBank, three interfering sequences were designed and synthesized, the recombinant lentiviral vector was transfected into L02 hepatocytes. The real-time quantitative PCR and western blotting were used to identify the effect of c-myc gene silencing. L02 cells and c-myc gene silenced cells were used as experimental subjects. The normal L02 cells and c-myc silenced cells were treated with 50 μg/ml PM(2.5) water soluble solution, 10 μM positive control Cr(6+) and a blank control, the treatment period was 24 h. The mRNA levels of oncogenes (c-myc, c-fos, k-ras, p53) and apoptotic genes (Caspase-3, Caspase-8, Caspase-9) were detected by real-time PCR. The protein levels of oncogenes and apoptotic genes were detected by western blotting. Results: The mRNA level and protein level of c-myc decreased by 81% and 70% in c-myc silenced cells when compared with the normal L02 hepatocytes, the above results indicate that c-myc gene silenced cells were successfully constructed. After c-myc silenced cells were treated with PM2.5 water soluble solution, The mRNA levels of c-myc, c-fos, and k-ras decreased by 84.1%, 45.4%, and 54.6% (P<0.05) , p53 increased by 192.9% (P<0.05) , and the expression of Caspase-3, Caspase-8, and Caspase-9 decreased by 24.4%, 36.1%, 60.9% (P<0.05) . In the Cr(6+) positive control group, the expression of c-myc, c-fos, and k-ras decreased by 72.1%, 82.2%, and 54.0% (P<0.05) , p53 increased by 250.0% (P<0.05) , the expression of Caspase-3, Caspase-8, and Caspase-9 decreased by 34.6%, 36.0%, 68.9% (P<0.05) , respectively, when compared with the normal L02 hepatocytes (P<0.05) . Western blotting results showed that the protein levels of c-myc and c-fos increased, p53 decreased after PM(2.5) exposure; the protein levels of Caspase-3, Caspase-8, Caspase-9 increased after PM(2.5) exposure (P<0.05) . When in comparison with the c-myc silenced group, the protein levels of c-myc and c-fos decreased, p53 protein increased in PM(2).5 exposed group (P<0.05) . Conclusion: c-myc gene silenced cells were successfully constructed in this paper. PM(2.5) could promote the expression of oncogenes and apoptotic genes in L02 cells, and c-myc gene silencing can inhibit the expression of oncogenes and apoptotic genes after PM(2.5) treatment in L02 cells.
Collapse
Affiliation(s)
- S J Qin
- Xiangya School of Public Health, Central South University, Changsha 410078, China ; Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - B Y Wang
- Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China ; School of public health, University of South China, Hengyang 421001, China
| | - B R Li
- Xiangya School of Public Health, Central South University, Changsha 410078, China ; Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - K Zheng
- Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China ; School of public health, University of South China, Hengyang 421001, China
| | - Y Cai
- Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China ; School of public health, University of South China, Hengyang 421001, China
| | - R B Li
- School of public health, University of South China, Hengyang 421001, China
| | - M Zeng
- Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - F Xiao
- Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - X Y Xu
- Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| |
Collapse
|
34
|
Wang J, Zhao L, Shi M, Luo S, Zang J, Xu M, Liu C, Su N, Li Z, Xiao F. 18F-FDG-PET/CT Plus MR-Based Treatment Planning For Definitive Radiotherapy Present Complementary Superiority In Head And Neck Squamous Cell Carcinoma. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
35
|
Liu F, Chen Y, Ma H, Liu L, He Q, Zhou Y, Zhang L, Xiao F, Li Y, Luo L, Xi X, Wang H, Han Y. Evaluation of Genetic Variants in Signaling Pathway Genes as Prognostic Biomarkers for Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
36
|
Chen Y, Huang A, Wang C, Chen Y, Xiao F, Chen H, Lu S, Cheng J, Hsu F. Peri-SRS Administration Of Bevacizumab Offers Promising Efficacy For Large Brain Metastases With Tolerable Toxicity: A Prospective Case Series. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
37
|
Liu F, Fu S, Chen Y, Yan O, Ma H, He Q, Liu L, Zhang L, Xiao F, Xi X, Zhou Y, Luo L, Li Y, Wang H, Han Y. Diffusion-weighted MRI Guided Dose-painting versus CT-based Tomotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma: A Randomized Controlled Trial. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
38
|
Huang YL, Luo QH, Xiao F, Lin X, Spears JW. Research Note: Responses of growth performance, immune traits, and small intestinal morphology to dietary supplementation of chromium propionate in heat-stressed broilers. Poult Sci 2020; 99:5070-5073. [PMID: 32988544 PMCID: PMC7598335 DOI: 10.1016/j.psj.2020.07.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 07/06/2020] [Accepted: 07/09/2020] [Indexed: 11/24/2022] Open
Abstract
This study was conducted to investigate the dose responses of growth performance, immune traits, and small intestinal morphology to dietary supplementation of chromium propionate (CrPro) in heat-stressed broilers. A total of 252 1-day-old Cobb 500 male broilers were randomly assigned to 6 treatments with 7 replicate cages of 6 birds per cage. The dietary treatments consisted of a basal diet supplemented with 0, 0.2, 0.4, 0.8, 1.6, and 3.2 mg/kg Cr in the form of CrPro. The birds had ad libitum access to feed and tap water for an experimental period of 42 D. For induction of heat stress, the house temperature was set at 35°C ± 2°C from 22 to 42 D of age. No differences were detected among treatments in growth performance during the experimental period (P > 0.05). Serum IgA concentrations were not affected by treatment (P > 0.05). However, a quadratic response was detected for serum IgG (P < 0.01) and IgM (P < 0.01) concentration as dietary Cr supplementation was increased. The highest response of IgG and IgM in serum was observed for broilers fed a diet supplemented with 0.2 mg of Cr/kg. Dietary supplementation of Cr had no impacts on villus height, crypt depth, or the ratio of villus height to crypt depth in the jejunum and ileum. A quadratic response of villus height and the ratio of villus height to crypt depth and a linear response of crypt depth to increased dietary Cr supplementation were observed in the duodenum (P < 0.01). The results indicate that CrPro supplementation could modify the intestinal morphology of the duodenum and influence serum IgG and IgM concentrations in heat-stressed broiler chickens. Based on the results of this experiment, the 0.2-mg Cr/kg diet from CrPro increases immune response and intestinal health in heat-stressed broilers.
Collapse
Affiliation(s)
- Y L Huang
- College of Life Science and Technology, Southwest Minzu University, Chengdu 610041, PR China.
| | - Q H Luo
- College of Life Science and Technology, Southwest Minzu University, Chengdu 610041, PR China
| | - F Xiao
- College of Life Science and Technology, Southwest Minzu University, Chengdu 610041, PR China
| | - X Lin
- Department of Animal Science, North Carolina State University, Raleigh, NC 27695-7621, USA
| | - J W Spears
- Department of Animal Science, North Carolina State University, Raleigh, NC 27695-7621, USA
| |
Collapse
|
39
|
Xiao F, Hu Z, Tan X, Huang ZZ. [Expression, purification and polyclonal antibody preparation of the Schistosoma japonicum SjGrpE protein]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 32:355-360. [PMID: 32935508 DOI: 10.16250/j.32.1374.2020090] [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] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To investigate the biological properties of Schistosoma japonicum SjGrpE protein, and to express and purify the recombinant SjGrpE protein and test its immunogenicity. METHODS The amino acid composition, molecular weight, hydrophilicity and hydrophobicity, transmembrane region, signal peptide, localization, phosphorylation site, ubiquitination site, glycosylation site, secondary and tertiary structures and B cell epitopes of the SjGrpE protein were predicted using bioinformatics analyses. The SjGrpE gene was amplified using PCR assay using S. japonicum cDNA as a template, double enzyme-digested and linked to the pET28a vector to yield the recombinant plasmid pET28a-SjGrpE. The recombinant plasmid pET28a-SjGrpE was transformed into Escherichia coli BL21, and then IPTG was employed to induce the expression of the target protein, which was purified by nickel ion affinity chromatography. After mice were immunized with the recombinant SjGrpE protein, mouse sera were collected, and the polyclonal antibody against the SjGrpE protein was characterized. RESULTS SjGrpE protein, which was identified as a hydrophilic protein, was predicted to have a molecular weight of approximately 24.3 kDa without transmembrane regions or signal peptides, and locate in the mitochondrion. SjGrpE protein contained 18 phosphorylation sites and 2 ubiquitination sites, but had no glycosylation sites. In addition, SjGrpE protein contained 5 B-cell epitopes. The full length of SjGrpE gene was approximately 660 bp. The recombinant pET28a-SjGrpE plasmid was successfully generated, and the recombinant SjGrpE protein was obtained following the affinity chromatography, which stimulated mice to secrete high-titer antibodies. CONCLUSIONS The recombinant SjGrpE protein has been successfully prepared and this recombinant protein has a high immunogenicity, which provides a basis for evaluating its value as a vaccine candidate for S. japonicum infections.
Collapse
Affiliation(s)
- F Xiao
- Department of Pathogenic Biology, Shaoyang University, Shaoyang 422600, China
| | - Z Hu
- Shaoyang Wugang Zhanhui Hospital, Hunan Province, China
| | - X Tan
- Department of Pathogenic Biology, Shaoyang University, Shaoyang 422600, China
| | - Z Z Huang
- Department of Pathogenic Biology, Shaoyang University, Shaoyang 422600, China
| |
Collapse
|
40
|
Trimmel K, Caciagli L, Xiao F, van Graan LA, Koepp MJ, Thompson PJ, Duncan JS. Impaired naming performance in temporal lobe epilepsy: language fMRI responses are modulated by disease characteristics. J Neurol 2020; 268:147-160. [PMID: 32747979 PMCID: PMC7815622 DOI: 10.1007/s00415-020-10116-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 07/23/2020] [Accepted: 07/24/2020] [Indexed: 10/27/2022]
Abstract
OBJECTIVE To investigate alterations of language networks and their relation to impaired naming performance in temporal lobe epilepsy (TLE) using functional MRI. METHODS Seventy-two adult TLE patients (41 left) and 36 controls were studied with overt auditory and picture naming fMRI tasks to assess temporal lobe language areas, and a covert verbal fluency task to probe frontal lobe language regions. Correlation of fMRI activation with clinical naming scores, and alteration of language network patterns in relation to epilepsy duration, age at onset and seizure frequency, were investigated with whole-brain multiple regression analyses. RESULTS Auditory and picture naming fMRI activated the left posterior temporal lobe, and stronger activation correlated with better clinical naming scores. Verbal fluency MRI mainly activated frontal lobe regions. In left and right TLE, a later age of epilepsy onset related to stronger temporal lobe activations, while earlier age of onset was associated with impaired deactivation of extratemporal regions. In left TLE patients, longer disease duration and higher seizure frequency were associated with reduced deactivation. Frontal lobe language networks were unaffected by disease characteristics. CONCLUSIONS While frontal lobe language regions appear spared, temporal lobe language areas are susceptible to dysfunction and reorganisation, particularly in left TLE. Early onset and long duration of epilepsy, and high seizure frequency, were associated with compromised activation and deactivation patterns of task-associated regions, which might account for impaired naming performance in individuals with TLE.
Collapse
Affiliation(s)
- Karin Trimmel
- Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, UK. .,Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK. .,Department of Neurology, Medical University of Vienna, 1090, Vienna, Austria.
| | - Lorenzo Caciagli
- Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, UK.,Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Fenglai Xiao
- Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, UK.,Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Louis A van Graan
- Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, UK.,Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Matthias J Koepp
- Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, UK.,Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Pamela J Thompson
- Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, UK.,Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - John S Duncan
- Epilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, UK.,Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| |
Collapse
|
41
|
Caciagli L, Wandschneider B, Centeno M, Vollmar C, Vos SB, Trimmel K, Long L, Xiao F, Lowe AJ, Sidhu MK, Thompson PJ, Winston GP, Duncan JS, Koepp MJ. Motor hyperactivation during cognitive tasks: An endophenotype of juvenile myoclonic epilepsy. Epilepsia 2020; 61:1438-1452. [PMID: 32584424 PMCID: PMC7681252 DOI: 10.1111/epi.16575] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 05/17/2020] [Accepted: 05/17/2020] [Indexed: 02/05/2023]
Abstract
OBJECTIVE Juvenile myoclonic epilepsy (JME) is the most common genetic generalized epilepsy syndrome. Myoclonus may relate to motor system hyperexcitability and can be provoked by cognitive activities. To aid genetic mapping in complex neuropsychiatric disorders, recent research has utilized imaging intermediate phenotypes (endophenotypes). Here, we aimed to (a) characterize activation profiles of the motor system during different cognitive tasks in patients with JME and their unaffected siblings, and (b) validate those as endophenotypes of JME. METHODS This prospective cross-sectional investigation included 32 patients with JME, 12 unaffected siblings, and 26 controls, comparable for age, sex, handedness, language laterality, neuropsychological performance, and anxiety and depression scores. We investigated patterns of motor system activation during episodic memory encoding and verb generation functional magnetic resonance imaging (fMRI) tasks. RESULTS During both tasks, patients and unaffected siblings showed increased activation of motor system areas compared to controls. Effects were more prominent during memory encoding, which entailed hand motion via joystick responses. Subgroup analyses identified stronger activation of the motor cortex in JME patients with ongoing seizures compared to seizure-free patients. Receiver-operating characteristic curves, based on measures of motor activation, accurately discriminated both patients with JME and their siblings from healthy controls (area under the curve: 0.75 and 0.77, for JME and a combined patient-sibling group against controls, respectively; P < .005). SIGNIFICANCE Motor system hyperactivation represents a cognitive, domain-independent endophenotype of JME. We propose measures of motor system activation as quantitative traits for future genetic imaging studies in this syndrome.
Collapse
Affiliation(s)
- Lorenzo Caciagli
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
| | - Britta Wandschneider
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
| | - Maria Centeno
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
- Epilepsy UnitHospital Clínic de BarcelonaBarcelonaSpain
| | - Christian Vollmar
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
- Department of NeurologyLudwig‐Maximilians‐UniversitätMunichGermany
| | - Sjoerd B. Vos
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
- Centre for Medical Image ComputingUniversity College LondonLondonUK
- Neuroradiological Academic UnitUCL Queen Square Institute of NeurologyLondonUK
| | - Karin Trimmel
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
- Department of NeurologyMedical University of ViennaViennaAustria
| | - Lili Long
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
- Department of NeurologyXiangya Hospital of Central South UniversityChangshaChina
| | - Fenglai Xiao
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
- Department of NeurologyWest China Hospital of Sichuan UniversityChengduChina
| | - Alexander J. Lowe
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
| | - Meneka K. Sidhu
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
| | - Pamela J. Thompson
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
| | - Gavin P. Winston
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
- Department of NeurologyQueen's UniversityKingstonONCanada
| | - John S. Duncan
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
| | - Matthias J. Koepp
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyLondonUK
- MRI UnitEpilepsy SocietyChalfont St PeterBuckinghamshireUK
| |
Collapse
|
42
|
Huang J, Wang Y, Wei H, Wang X, He F, Xie T, Wu B, Zhao C, Xiao H, Wu B, Jia Y, Xiao F, Bao C. THU0270 ONLINE INTERACTION AND FREQUENT SELF-ASSESSMENTS PROMOTED TREAT-TO-TARGET FOR SLE VIA EMPOWERING PATIENTS: A COHORT STUDY FROM CHINA BY SMART SYSTEM OF DISEASE MANAGEMENT (SSDM). Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Treating to target (T2T) is routine in RA, but no comparable standard has been defined for SLE. In 2015, the definition of Lupus Low Disease Activity State (LLDAS) was generated by Asia-Pacific Lupus Collaboration, and the preliminary validation demonstrated its attainment to be associated with improved outcomes in SLE. A SLEDAI-2K score lower than 4 is the main criteria for LLDAS. SSDM is an interactive mobile disease management application, including application systems for both the doctors and patients.Objectives:To evaluate the patterns of T2T and related influential factors among SLE patients after applying SSDM in real world.Methods:Patients were trained to master SSDM by healthcare professionals in clinics. The first assessment for SLEDAI-2K was performed as the baseline. Patients were required to perform repeated self-assessments after leaving the clinics. The data is synchronized to the SSDM of authorized rheumatologists. Based on the patients’ data, rheumatologists will provide medical advices to the patients.Results:From July 2015 to Jan 2020, 32,559 SLE patients enrolled in SSDM. The mean age is 36.35 years old and median disease duration is 3.85 years. Among them 1,937 SLE patients from 134 hospitals across China were followed up for more than 12 months, and the demographics were summarized in table 1.Table 1.Baseline\Final follow-upn%x <= 4%5 <= x <= 9%10 <= x <= 14%15 <= x%x <= 4104053.69%82078.85%13512.98%504.81%353.37%5 <= x <= 935718.43%23064.43%6016.81%328.96%359.80%10 <= x <= 1422211.46%12054.05%3817.12%4018.02%2410.81%15 <= x31816.42%15649.06%4915.41%4714.78%6620.75%Total1937100%132668.46%28214.56%1698.72%1608.26%The ratio of T2T achievers was 53.69% (1,040/1,937) at the baseline and improved significantly to 68.46% (1,326/1,937) after a 12-month follow-up, p<0.01. Among T2T achievers at the baseline, 78.85% (820/1,040) maintained T2T, and 21.15% (220/1,040) relapsed. Of patients who didn’t achieve T2T at baseline, 56.41% (506/897) of the patients achieve T2T after 12-month follow-up.The impact of the online interaction and the frequency of self-assessment for SLEDAI-2K on T2T has been analyzed. Compared with 1,475 patients who didn’t interact online with their physicians through SSDM, 462 patients with online interaction achieved higher rate of T2T improvement (19.48% vs 13.29%, p<0.05). The more frequent of the self-assessments being performed by patients, the higher improvement of T2T rate will be. The improvement rates of T2T in the subgroups which self-assessed with SSDM by quarterly, bimonthly and monthly were 8.56%, 16.14% and 23.24% respectively. The improvement rate (y) of T2T was positively correlated with the frequency of self-assessment for SLEDAI-2K(x) independently, r = 0.9998. (Figure 1)Conclusion:After proactive disease management via SSDM for more than 12 months, the rate of T2T in SLE patients increased significantly. Online interaction between patients and physicians contributed in promoting T2T improvement rate. The patients who performed more self-assessments through SSDM had higher probability of T2T achievement. SSDM is a valuable tool for long term SLE follow-up through empowering patients.References:Acknowledgments:SSDM was developed by Shanghai Gothic Internet Technology Co., Ltd.Disclosure of Interests:None declared
Collapse
|
43
|
Dong L, LI S, Wu Z, Wang F, Zhang S, LI Q, Yu Y, Shen L, Luo L, Ji P, Liu W, Wang T, Xiao H, Jia S, Jia Y, Xiao F, Wu L. SAT0250 CLINICAL CHARACTERISTICS AND THE DISEASE ACTIVITY OF BEHCET’S DISEASE IN CHINA: A STUDY BASED ON SMART SYSTEM OF DISEASE MANAGEMENT (SSDM). Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Behcet´s disease (BD) is a systemic autoimmune disease that affects multiple organ systems with recurrent oral ulcers, genital ulcers and skin lesions. Behcet´s Disease Current Activity Form (BDCAF) and Electronic Medical Record-based Activity Index (EMRAI) are commonly used internationally to evaluate the disease activity of BD.Objectives:This study aimed to analyze the clinical characteristics, the level of disease activity, and the incidence of anxiety and depression for Chinese BD patients. Patients can perform self-management of disease with SSDM.Methods:SSDM is a series of doctor-patient interactive applications for self-management of patients with chronic diseases. Patients can perform self-assessment with SSDM and upload the data to their authorized doctors. The SSDM patients’ application system integrates the BDCAF and EMRAI into one scoring system. Patients could obtain scores of BDCAF and EMRAI by responding to one questionnaire through SSDM.Results:From Apr 2017 to Jan 2020, 719 BD patients from 166 hospitals used SSDM, with a mean age of 38.97±12.71 (14~81) years old, and median disease duration of 20.8 months. 719 patients performed BDCAF and EMRAI self-assessment 1321 times, 252 patients repeat assessments for 855 times. The mean score of BDCAF and EMRAI are 3.57±2.17 and 3.44±1.90, respectively. The matching degree of the two score was 0.8747.The most common clinical characteristics were oral ulcers (83.73%), ocular symptoms (62.03%), joint pain (50.07%). The comparative study between males and females revealed significant difference in the aspects of epididymitis (10.94% vs 0, p<0.001), genital ulcer (35.09% vs 44.93%, p=0.01), headache (24.15% vs 33.92%, p=0.01) and superficial thrombophlebitis (24.15% vs 33.92%, p=0.01). Table 1.Table 1.Clinical Characteristics of different systems in Chinese BD patients.Presence of clinical characteristicsTotalMalesFemalesP valueOral ulcer83.73% (602)86.42% (229)82.16% (373)0.14Genital ulcer41.31% (297)35.09% (93)44.93% (204)0.01*Epididymitis4.03% (29)10.94% (29)0 (0)<0.001**Erythema29.49% (212)29.43% (78)29.52% (134)0.98Skin lesions26.84% (193)28.68% (76)25.77% (117)0.4Superficial thrombophlebitis30.32% (218)24.15% (64)33.92% (154)0.01*Headache30.32% (218)24.15% (64)33.92% (154)0.01*Joint pain50.07% (360)51.32% (136)49.34% (224)0.61Arthritis14.60% (105)14.72% (39)14.54% (66)0.95Gastrointestinal involvement24.90% (179)27.92% (74)23.13% (105)0.15Ocular symptoms62.03% (446)62.64% (166)61.67% (180)0.79Nervous involvement23.78% (171)25.66% (68)22.69% (103)0.37Vascular involvement15.72% (113)18.11% (48)14.32% (65)0.18*P values are for the comparison between the males and females.Conclusion:Chinese BD patients can effectively perform BDCAF and EMRAI self-assessment with SSDM. The results of the assessment conducted by the two scoring systems are similar. The clinical characteristics of Chinese BD were different depending on gender.Acknowledgments: :Smart system of disease management (SSDM) was developed by Shanghai Gothic Internet Technology Co., Ltd.Disclosure of Interests:None declared
Collapse
|
44
|
Song H, Wei H, Zhang M, Wu L, Wu Z, Aichun C, Wang B, Wang X, Fan W, Chen X, Wu H, Zhou W, Xiao H, Du Z, Wu B, Jia Y, Xiao F, Lu J. FRI0593 CORRELATION BETWEEN DISEASE ACTIVITY AND MENTAL HEALTH OF AS PATIENTS: A CROSS-SECTION STUDY WITH SELF-ASSESSMENTS BASED ON SMART SYSTEM OF DISEASE MANAGEMENT (SSDM) MOBILE TOOLS. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:WHO survey showed that the prevalence of anxiety and depression in Chinese population and Chinese patients with chronic diseases were between 3.1% - 4.2% and 3.1% - 7.3%, respectively. Ankylosing Spondylitis Disease Activity Score (ASDAS) and Hospital Anxiety and Depression Scale (HADS) are commonly used to evaluate AS patients’ disease activity and mental health. All those assessments were mainly performed by health professionals (HCPs) with paper questionnaire previously. SSDM is a novel smart disease management tool that allows patients to do self-assessments on ASDAS and HADS by mobile terminals.Objectives:To estimate the prevalence of anxiety and depression in Chinese patients with AS and to analyze the potential association between disease activity and mental health.Methods:Under the guidance and training by HCPs, AS patients downloaded SSDM and performed self-assessments bundle of ASDAS and HADS with SSDM. ASDAS<=1.3, 1.3-2.1, 2.1-3.5 and >3.5 are defined as inactive (IDA), moderate (MDA), high (HDA) and very high (VHDA) disease activity, respectively. ASDAS score <=1.3 represents inactive disease status and achievement of T2T. HADS score >=8 can be diagnosed with anxiety or depression.Results:From June 2016 to Jan 2020, 1,931 AS patients (1,118 male, 813 female) with a mean age of 34.09 ± 11.86 (12-82) years and the median disease duration of 2.61 years from 207 hospitals performed bundle self-assessments for 2,477 times in total. According to the HADS and ASDAS assessment results, the prevalence of anxiety and depression in all patients was 36.7% and 39.3% respectively, which was significantly higher than that in the WHO survey in Chinese population and chronic disease patients. The proportion of patients achieved and failed on T2T was 29% and 71%, respectively. The prevalence of anxiety (A) and depression (D) was 25% and 23% among T2T achievers; and 37% and 32% among T2T failures, respectively (pA<0.05, pD<0.05).According to ASDAS, in IDA, MDA, HDA and VHDA subgroups, the prevalence of anxiety and depression was 27%, 36%, 41%, 52% and 29%, 38%, 45%, 56%, respectively. The correlation coefficients of anxiety (A) and depression (D) with ASDAS were rA=0.9908 and rD=0.9964. It suggested that with the increase of disease activity, the proportion of AS patients with anxiety and depression increased significantly. (Figure 1)Figure 1.The prevalence of anxiety and depression according to ASDAS.Conclusion:The prevalence of anxiety and depression in AS patients was significantly higher than that in the WHO survey in Chinese population and chronic disease patients. Higher prevalence of anxiety and depression were associated with higher levels of disease activity. SSDM is an effective mobile interface to monitor and study entanglement of disease activity and mental health in AS patients, which build a foundation for proactive interventions in future.Acknowledgments:Smart system of disease management (SSDM) was developed by Shanghai Gothic Internet Technology Co., Ltd.Disclosure of Interests:None declared
Collapse
|
45
|
Wang Y, Wei H, Wu R, Wu J, Zhang S, Li Q, Li Y, Zhao Y, Shu Q, Kang L, Wu B, Qin L, Jiang F, Sun Y, Yang H, Zhang J, Xiao H, Wu B, Jia Y, Xiao F, Sun L. THU0252 CORRELATION BETWEEN DISEASE ACTIVITY AND MENTAL HEALTH IN SLE PATIENTS: A CROSS-SECTION STUDY WITH SELF-ASSESSMENTS BASED ON SMART SYSTEM OF DISEASE MANAGEMENT (SSDM) MOBILE TOOLS. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:WHO survey showed that the prevalence of anxiety and depression in Chinese population and Chinese patients with chronic diseases were between 3.1% - 4.2% and 3.1% - 7.3%, respectively. SLEDAI-2K and Hospital Anxiety and Depression Scale (HADS) are commonly used to evaluate SLE patients’ disease activity and mental health. All the Assessments were mainly performed by health professionals (HCPs) with paper questionnaire previously. SSDM is a novel smart disease management tool that allows patients to do self-assessments on SLEDAI-2K and HADS by mobile App.Objectives:To investigate the prevalence of anxiety and depression in Chinese patients with SLE and to analyze the potential association between disease activity of SLE and mental health.Methods:Under the guidance and training by HCPs, SLE patients downloaded SSDM and performed self-assessments bundle of SLEDAI-2K and HADS with SSDM. SLEDAI-2K <=4, 5-9, 10-14 and >=15 are defined SLE inactive, low (LDA), moderate (MDA) and high (HDA) disease activity, respectively. SLEDAI-2K score <= 4 is set as the main criteria for Lupus Low Disease Activity State (LLDAS) and achievement of T2T. HADS score >=8 can be diagnosed with anxiety or depression.Results:From June 2016 to Jan 2020, 3,332 SLE patients (199 male, 3,133 female) with a mean age of 36.34 ± 12.80 (10-91) years and the median disease duration of 3.43 years from 216 hospitals performed bundle self-assessments for 4,967 times in total. According to the HADS and SLEDAI-2K Assessment results, the prevalence of anxiety and depression in all patients was 36.7% and 39.3% respectively, which was significantly higher than that in the WHO survey in Chinese population and chronic disease patients. The proportion of patients achieved and failed on LLDAS was 53% and 47%, respectively. The prevalence of anxiety (A) and depression (D) was 19% and 27% among LLDAS achievers; 41% and 47% among LLDAS failures, respectively (pA<0.01, pD<0.01).According to SLEDAI-2K, in LLDAS, LDA, MDA and HDA subgroups, the prevalence of anxiety and depression was 19%, 30%, 37%, 54% and 27%, 36%, 44%, 61%, respectively. The correlation coefficients of anxiety (A) and depression (D) with SLEDAI-2K were rA=0.9957 and rD=0.9819. It suggested that with the increase of disease activity, the proportion of SLE patients with anxiety and depression increased significantly. (Figure 1)Conclusion:Conclusion: Higher prevalence of anxiety and depression were Associated with higher levels of disease activity in SLE patients. SSDM is an effective mobile interface to monitor and study entanglement of disease activity and mental health in SLE patients, which build a foundation for proactive interventions physically and mentally in future.References:Acknowledgments:SSDM was developed by Shanghai Gothic Internet Technology Co., Ltd.Disclosure of Interests:None declared
Collapse
|
46
|
Xue J, Wang H, LI H, Song H, LI Y, Shi X, Zhao H, Wei F, Xiao H, Wu B, Jia Y, Xiao F, Wu H. SAT0646-HPR PATTERN AND INFLUENTIAL FACTORS IN PROMOTING TREAT-TO-TARGET (T2T) FOR FOLLOW-UP OF ANKYLOSING SPONDYLITIS (AS) PATIENTS WITH A RHEUMATOLOGIST-PATIENT INTERACTIVE SMART SYSTEM OF DISEASE MANAGEMENT (SSDM): A COHORT STUDY FROM CHINA. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Ankylosing Spondylitis Disease Activity Score (ASDAS) is adopted to evaluate the degree of disease activity and the inflammatory response in AS patients. ASDAS score <= 1.3 represents inactive disease status and achievement of T2T. SSDM is a mobile application for disease management.Objectives:To evaluate the patterns of T2T and related influential factors among AS patients after applying SSDM in the real world.Methods:AS Patients were trained to master SSDM by healthcare professionals (HCPs) and to conduct ASDAS self-assessments. Patients were also required for repeating self-assessments after leaving the hospital. After entry by patients, data can be synchronized to the SSDM terminal of authorized rheumatologists. Based on these data, the patients can apply for consultation to their physicians and rheumatologists can provide medical advices to their patients.Results:From Jan 2015 to Jan 2020, 17,870 AS patients enrolled in SSDM with the mean age of 34.62±10.98 years old and the median disease duration of 3.58 years. Among them, 1,127 AS patients from 150 hospitals were followed up for more than 6 months through SSDM. The results at baseline and in final follow up were summarized in Table 1.Table 1.The T2T results at baseline and in final follow up.Baseline\Final follow-upn%x <= 1.3%1.3 < x <= 2.1%2.1 < x <= 3.5%3.5 < x%x <= 1.331527.95%20665.40%7423.49%268.25%92.86%1.3 < x <= 2.134030.17%13840.59%11433.53%7522.06%133.82%2.1 < x <= 3.536332.21%9526.17%10629.20%13336.64%297.99%3.5 < x1099.67%2422.02%2522.94%4238.53%1816.51%Total1,127100%46341.08%31928.31%27624.49%696.12%The rate of T2T achievers were 27.95% (315/1,127) at baseline, and improved significantly to 41.08% (463/1,127) after 6 months follow up, p<0.01. Among T2T achievers at baseline, 65.40% (206/315) maintained T2T, 34.60% (109/315) relapsed. Of patients who didn’t achieve T2T at baseline, only 31.65% (257/812) achieved T2T after 6 months follow up.The impact of the online interaction between patients and physicians and the frequency of self-assessment for ASDAS on T2T has been analyzed. Compared with 544 patients who didn’t interact online with their physicians and self-assessed less than 3times, 104 patients with online interaction and monthly assessments achieved significant higher improvement rate of T2T (9.19% vs 23.08%, p<0.01). The more frequent of the self-assessments being performed by patients, the higher improvement of T2T rate will be. The improvement of T2T rate(y) was positively correlated with times of self-assessment for ASDAS(x) independently. The regression equation as “y = 0.0304x + 0.0521”, r = 0.9107, p<0.01 (Figure 1).Figure 1.Conclusion:Significant improvement was observed under applying SSDM through empowering AS patients. After proactive disease management via SSDM for more than 6 months, patients with ASDAS<=1.3 score at baseline had a significantly higher retention rate of inactive disease activity. The patients who performed more frequent self-assessments had lower probability of relapse and higher rate of T2T. Online interaction between patients and physicians contributed to promote the improvement rate of T2T. SSDM is a valuable tool for long term follow-up through empowering patients.Acknowledgments:SSDM was developed by Shanghai Gothic Internet Technology Co., Ltd.Disclosure of Interests:None declared
Collapse
|
47
|
Zhao Y, Mu R, LI X, Sun H, MI C, Wang G, Xu S, Xu M, Chen H, Huang Q, Lei L, Haili S, Chen X, Xiao F. SAT0647-HPR DEVELOP A MACHINE LEARNING MODEL AND ALGORITHM BASED ON SMART SYSTEM OF DISEASE MANAGEMENT (SSDM) BIG DATA FOR RA FLARE PREDICTION. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.5458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Flare, relapse from status of treat-to-target (T2T, DAS28<=3.2), is hard predicted. We try to make it predictable by applying machine learning to a database from smart system of disease management (SSDM). SSDM is an interactive mobile disease management APPs.Objectives:To develop and validate machine learning algorithms for flare prediction in RA.Methods:Patients were trained using SSDM and input their data, including demographic, comorbidities (COMBs), lab test, medications and monthly self-assessments, including DAS28, HAQ, SF-36, Hospital Anxiety and Depression Scale (HADS). The data was uploaded to cloud and synchronized to the mobile of authorized rheumatologists. The COMBs were by ICD-9, and medications were listed as cDMARDs, Bio (BioDMARDs), NSAIDs, Steroid, FS (food supplements), MC (medicine for COMBs), TCM (Traditional Chinese Medicine), and combinations.Results:From Jan of 2015 to Jan of 2020, 8811 RA patients, 85% female and 15% male, used to reach T2T. 4556 were flare-free and 4255 suffering at least one flare. The average 160 attributes were extracted from each flare-free patient at time of reaching T2T, and each flare patients at time of 3 months before the flare. Patients were randomly assigned as model setup (training) group (70%) and validation (testing) group30%.For training, data were processed using Python with statistical analyses in R. In R, random forests were implemented. Logistic regression via glm in base R. The random forest comprises a set of decision trees. “Splits” in the decision trees reflect binary (i.e., yes/no) respect to attributors. Bootstrapping was used to assess, quantify, and adjust for model optimism. Model performance was evaluated using AUC, precision and recall metrics. Brier scores for accuracy of probabilistic predictions ranged from 0 to 1 (0 is perfect discrimination).The testing showed model performance for prediction windows are 0.78 for AUC (95% CI), 0.71 for Recall (sensitivity), 0.195 for Brier score, and 0.68 for precision (true positive 893, false positive 417, false negative 367, true negative 966).Based on weighing in the random forest, the top 10 pro-flare attributes were CRP, swollen joint count (SJC), tender joint count (TJC), HAQ, DAS28, morning stiffness, gout, MCTD, OA, duration; while top 10 anti-flare attributes were cDMARDs+Bio, cDMARDs+steroid+NSAIDs, stable on HAQ, on morning stiffness, on SJC, medicine on COMBs, cDMARDs+TCM, stable on TJC, on ESR, income at 100-200k (Fig.1). The top weighing COMBs for pro-flaring were gout (0.81), MRD (0.75), OA (0.56), AS (0.48). The monotherapies with either Bio or NSAIDs, or steroid, or TCM was pro-flare; while with cDMARDs was anti-flare (-0.21).Figure 1.Conclusion:The attempt to develop a machine learning algorithm for RA flare prediction is successful. The discrimination was acceptable. The attributes of both pro-flare and anti-flare are identified, which may inspire the proactive intervention.Acknowledgments:SSDM was developed by Shanghai Gothic Internet Technology Co., Ltd.Disclosure of Interests:None declared
Collapse
|
48
|
Xiao F, Zhao L, Han F. 0761 Independent Components Analysis And Graph Theoretical Analysis In Patients With Narcolepsy. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
To evaluate resting state functional connectivity and topological properties of brain network in narcolepsy compared with healthy controls.
Methods
Resting state fMRI was performed in 26 adult narcolepsy patients and 30 matched healthy controls. MRI data was first analyzed by group independent component analysis, then a graph theoretical method was applied to evaluate topological properties within whole brain. Small-world network parameters and nodal topological properties were measured. Altered topological properties in brain areas between groups were selected as ROI-seeds, then functional connectivity among these ROI-seeds were compared between groups. Partial correlation analysis was performed to evaluate the relationship between sleepiness severity and functional connectivity or topological properties in the narcolepsy.
Results
21 independent components out of 48 components were obtained. Compared with healthy controls, narcolepsy exhibited a significant decreased functional connectivity within the executive and salience network, while increased functional connectivity in bilateral frontal lobe within executive network can be detected in narcolepsy. There were no differences in small-world network properties between narcolepsy and healthy controls. The altered brain areas in nodal topological properties were mainly located in inferior frontal cortex, basal ganglia, anterior cingulate, sensory cortex, supplementary motor cortex and visual cortex between groups. In the partial correlation analysis, nodal topological properties in putamen, anterior cingulate and sensory cortex as well as functional connectivity between these brain regions were correlated with the severity of sleepiness (sleep latency, REM sleep latency and ESS) among narcolepsy.
Conclusion
Altered connectivity within executive network and salience network were found in narcolepsy. Functional connection changes between left frontal cortex and left caudate nucleus may be one of the parameters describing the severity of narcolepsy. Nodal topological properties alterations in left putamen and left posterior cingulate, changes in functional connectivity between left supplementary motor area and right occipital as well as changes in functional connectivity between left anterior cingulate gyrus and bilateral postcentral gyrus can be considered to be a specific indicator for evaluating the severity of narcolepsy.
Support
National Natural Science Foundation of China (81700088)National Program on Key Basic Research Project of China (973 Program, 2015CB856405)
Collapse
Affiliation(s)
- F Xiao
- Peking University People’s Hospital, Beijing, CHINA
| | - L Zhao
- Peking University People’s Hospital, Beijing, CHINA
| | - F Han
- Peking University People’s Hospital, Beijing, CHINA
| |
Collapse
|
49
|
Ding Q, Li J, Xiao F, Zhang C, Dong X, Han F. 0009 Anti-Streptococcal Antibodies in Chinese Patients with Type -1 Narcolepsy. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
Narcolepsy type 1 (NT1) is considered to be an autoimmune disease, and streptococcal infection may be an environmental trigger. However, previous studies from Asian narcolepsy patients did not reveal elevated anti-streptolysin O [ASO]. The aim is to investigate whether large sample Chinese patients with NT1 have an increase in antistreptococcal antibody titers.
Methods
A total of 214 narcolepsy patients and 360 healthy controls were recruited. All patients were DQB1*0602 positive with clear-cut cataplexy or had low CSF hypocretin-1. Participants were tested for ASO and anti DNAse B [ADB]. These patients were divided into five groups according to disease duration, including 29 patients less than 3 months; 25 from 3 months to 1 year; 40 from 1 to 3 years; 61 from 3 to 10 years and 59 patients over 10 years. Comparison was also made between children and adults with age matched controls, respectively.
Results
There were no significant differences between patients and healthy controls in regard to both ASO ≥ 200 IU (19.2% vs. 16.9%, p = 0.50) and ADB≥480IU (9.8% vs. 10.3%, p = 0.86). For children narcolepsy patients, ASO positive rates(19.8% vs. 18%, p = 0.68) and ADB positive rates(10.4% vs. 12%, p = 0.72) had no differences compared to age matched controls. And no difference was observed in adult narcolepsy patients either, with ASO positive rates (18.5% vs. 13.8%, p = 0.39) and ADB positive rates (9.3% vs. 5.3%, p = 0.42) compared to age matched controls, respectively. ASO (ADB) positive rates had no significant differences among different disease duration groups(p= 0.55, 0.9).
Conclusion
It is indicated that positive rates of ASO and ADB were not significantly different between Chinese patients with NT1 and healthy controls, including recent onset cases and children.
Support
The study was supported by the National Natural Science Foundation of China (No. 81420108002 and NO. 81570083)
Collapse
Affiliation(s)
- Q Ding
- Peking University People’s hospital, Beijing, CHINA
| | - J Li
- Peking University People’s hospital, Beijing, CHINA
| | - F Xiao
- Peking University People’s hospital, Beijing, CHINA
| | - C Zhang
- Peking University People’s hospital, Beijing, CHINA
| | - X Dong
- Peking University People’s hospital, Beijing, CHINA
| | - F Han
- Peking University People’s hospital, Beijing, CHINA
| |
Collapse
|
50
|
Audi H, Viero Y, Alwhaibi N, Chen Z, Iazykov M, Heynderickx A, Xiao F, Guérin D, Krzeminski C, Grace IM, Lambert CJ, Siri O, Vuillaume D, Lenfant S, Klein H. Electrical molecular switch addressed by chemical stimuli. Nanoscale 2020; 12:10127-10139. [PMID: 32352127 DOI: 10.1039/d0nr02461a] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
We demonstrate that the conductance switching of benzo-bis(imidazole) molecules upon protonation depends on the lateral functional groups. The protonated H-substituted molecule shows a higher conductance than the neutral one (Gpro > Gneu), while the opposite (Gneu > Gpro) is observed for a molecule laterally functionalized by amino-phenyl groups. These results are demonstrated at various scale lengths: self-assembled monolayers, tiny nanodot-molecule junctions and single molecules. From ab initio theoretical calculations, we conclude that for the H-substituted molecule, the result Gpro > Gneu is correctly explained by a reduction of the LUMO-HOMO gap, while for the amino-phenyl functionnalized molecule, the result Gneu > Gpro is consistent with a shift of the HOMO, which reduces the density of states at the Fermi energy.
Collapse
Affiliation(s)
- H Audi
- Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), CNRS, Aix Marseille Université, Marseille, France.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|