Titre : Virus maedi-visna

Virus maedi-visna : Questions médicales fréquentes

Termes MeSH sélectionnés :

Multiple Sclerosis, Relapsing-Remitting

Questions fréquentes et termes MeSH associés

Diagnostic 5

#1

Comment diagnostiquer une infection par le virus maedi-visna ?

Le diagnostic repose sur des tests sérologiques et des analyses PCR pour détecter le virus.
Virus maedi-visna Diagnostic médical
#2

Quels tests sont utilisés pour le virus maedi-visna ?

Les tests ELISA et PCR sont couramment utilisés pour identifier le virus dans le sang.
Tests de diagnostic Virus maedi-visna
#3

Les symptômes aident-ils au diagnostic ?

Oui, les symptômes cliniques comme la pneumonie et l'encéphalite orientent le diagnostic.
Symptômes Virus maedi-visna
#4

Peut-on diagnostiquer le virus chez les animaux asymptomatiques ?

Oui, des tests sérologiques peuvent détecter le virus même sans symptômes visibles.
Virus maedi-visna Infection virale
#5

Quelle est l'importance du diagnostic précoce ?

Un diagnostic précoce permet de mieux gérer la maladie et de limiter sa propagation.
Diagnostic précoce Virus maedi-visna

Symptômes 5

#1

Quels sont les symptômes principaux du virus maedi-visna ?

Les symptômes incluent toux, difficultés respiratoires et troubles neurologiques.
Symptômes Virus maedi-visna
#2

Les symptômes varient-ils selon l'âge des moutons ?

Oui, les jeunes animaux peuvent présenter des symptômes plus graves que les adultes.
Âge Virus maedi-visna
#3

Y a-t-il des symptômes neurologiques associés ?

Oui, des signes neurologiques comme des tremblements et des troubles de la coordination peuvent apparaître.
Symptômes neurologiques Virus maedi-visna
#4

Les symptômes sont-ils toujours présents ?

Non, certains animaux peuvent être porteurs sans montrer de symptômes cliniques.
Portage asymptomatique Virus maedi-visna
#5

Comment évoluent les symptômes au fil du temps ?

Les symptômes peuvent s'aggraver progressivement, menant à des complications graves.
Évolution des symptômes Virus maedi-visna

Prévention 5

#1

Comment prévenir l'infection par le virus maedi-visna ?

La prévention passe par l'isolement des animaux infectés et des pratiques d'élevage saines.
Prévention Virus maedi-visna
#2

Les tests de dépistage sont-ils efficaces ?

Oui, le dépistage régulier des troupeaux permet de détecter et d'éliminer les animaux infectés.
Dépistage Virus maedi-visna
#3

Quelles mesures d'hygiène sont recommandées ?

Des mesures d'hygiène strictes, comme le nettoyage des équipements, sont essentielles.
Hygiène Virus maedi-visna
#4

Les animaux doivent-ils être vaccinés ?

Bien qu'il n'y ait pas de vaccin, la vaccination contre d'autres maladies est recommandée.
Vaccination Virus maedi-visna
#5

Comment gérer les nouveaux animaux dans un troupeau ?

Les nouveaux animaux doivent être testés et mis en quarantaine avant d'intégrer le troupeau.
Quarantaine Virus maedi-visna

Traitements 5

#1

Quel est le traitement principal pour le virus maedi-visna ?

Il n'existe pas de traitement spécifique; la gestion des symptômes est essentielle.
Traitement Virus maedi-visna
#2

Peut-on utiliser des antiviraux contre ce virus ?

Actuellement, il n'y a pas d'antiviraux efficaces spécifiquement pour le virus maedi-visna.
Antiviraux Virus maedi-visna
#3

Comment gérer les animaux infectés ?

Les animaux infectés doivent être isolés et traités symptomatiquement pour améliorer leur confort.
Gestion des animaux Virus maedi-visna
#4

Y a-t-il des vaccins disponibles ?

Il n'existe pas de vaccin commercialement disponible contre le virus maedi-visna.
Vaccins Virus maedi-visna
#5

Quel rôle joue la nutrition dans le traitement ?

Une bonne nutrition peut aider à renforcer le système immunitaire des animaux infectés.
Nutrition Virus maedi-visna

Complications 5

#1

Quelles complications peuvent survenir avec le virus maedi-visna ?

Les complications incluent pneumonie chronique et encéphalite, pouvant être mortelles.
Complications Virus maedi-visna
#2

Les complications sont-elles fréquentes ?

Oui, les complications sont courantes chez les animaux infectés, surtout sans traitement.
Fréquence des complications Virus maedi-visna
#3

Comment les complications affectent-elles la production ?

Les complications peuvent réduire la productivité des animaux, affectant la rentabilité de l'élevage.
Production animale Virus maedi-visna
#4

Les complications sont-elles réversibles ?

Certaines complications peuvent être gérées, mais beaucoup sont irréversibles et graves.
Complications irréversibles Virus maedi-visna
#5

Quel est le pronostic pour les animaux infectés ?

Le pronostic dépend de la gravité des symptômes; beaucoup développent des complications graves.
Pronostic Virus maedi-visna

Facteurs de risque 5

#1

Quels sont les facteurs de risque d'infection ?

Les facteurs incluent l'âge, le stress, et la densité de population dans le troupeau.
Facteurs de risque Virus maedi-visna
#2

Le stress augmente-t-il le risque d'infection ?

Oui, le stress peut affaiblir le système immunitaire, augmentant le risque d'infection.
Stress Virus maedi-visna
#3

Les races de moutons sont-elles affectées différemment ?

Certaines races peuvent être plus susceptibles à l'infection en raison de leur génétique.
Races animales Virus maedi-visna
#4

L'environnement joue-t-il un rôle dans l'infection ?

Oui, un environnement surpeuplé et insalubre favorise la propagation du virus.
Environnement Virus maedi-visna
#5

Les pratiques d'élevage influencent-elles le risque ?

Oui, des pratiques d'élevage inadéquates augmentent le risque de transmission du virus.
Pratiques d'élevage Virus maedi-visna
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"Answer", "text": "Les complications incluent pneumonie chronique et encéphalite, pouvant être mortelles." } }, { "@type": "Question", "name": "Les complications sont-elles fréquentes ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les complications sont courantes chez les animaux infectés, surtout sans traitement." } }, { "@type": "Question", "name": "Comment les complications affectent-elles la production ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Les complications peuvent réduire la productivité des animaux, affectant la rentabilité de l'élevage." } }, { "@type": "Question", "name": "Les complications sont-elles réversibles ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Certaines complications peuvent être gérées, mais beaucoup sont irréversibles et graves." } }, { "@type": "Question", "name": "Quel est le pronostic pour les animaux infectés ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Le 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surpeuplé et insalubre favorise la propagation du virus." } }, { "@type": "Question", "name": "Les pratiques d'élevage influencent-elles le risque ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des pratiques d'élevage inadéquates augmentent le risque de transmission du virus." } } ] } ] }
Dr Olivier Menir

Contenu validé par Dr Olivier Menir

Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale


Validation scientifique effectuée le 15/04/2025

Contenu vérifié selon les dernières recommandations médicales

Auteurs principaux

Xujie Duan

3 publications dans cette catégorie

Affiliations :
  • College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Inner Mongolia Key Laboratory of Basic Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Key Laboratory of Clinical Diagnosis and Treatment Technology for Animal Disease, Ministry of Agriculture, Hohhot 010018, China.

Xiaona Shi

3 publications dans cette catégorie

Affiliations :
  • College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Inner Mongolia Key Laboratory of Basic Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Key Laboratory of Clinical Diagnosis and Treatment Technology for Animal Disease, Ministry of Agriculture, Hohhot 010018, China.

Shuying Liu

3 publications dans cette catégorie

Affiliations :
  • College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Inner Mongolia Key Laboratory of Basic Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Key Laboratory of Clinical Diagnosis and Treatment Technology for Animal Disease, Ministry of Agriculture, Hohhot 010018, China. liushuying1968@imau.edu.cn.

Stefán R Jónsson

3 publications dans cette catégorie

Affiliations :
  • Institute for Experimental Pathology, University of Iceland, Keldur, Reykjavik 112, Iceland.

Yalçın Yaman

3 publications dans cette catégorie

Affiliations :
  • Siirt University Faculty of Veterinary Medicine, Department of Genetics, Siirt, Türkiye.

Cemal Ün

3 publications dans cette catégorie

Affiliations :
  • Ege University Faculty of Science Department of Biology Molecular Biology Section, İzmir, Türkiye; Ege University Vaccine Development Application and Research Center, İzmir, Türkiye.

Duncan R Smith

3 publications dans cette catégorie

Affiliations :
  • Institute of Molecular Biosciences, Mahidol University, Salaya, 73170, Thailand. duncan_r_smith@hotmail.com.

Pei Zhang

2 publications dans cette catégorie

Affiliations :
  • College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Inner Mongolia Key Laboratory of Basic Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Key Laboratory of Clinical Diagnosis and Treatment Technology for Animal Disease, Ministry of Agriculture, Hohhot 010018, China.

Xiaoyue Du

2 publications dans cette catégorie

Affiliations :
  • College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Inner Mongolia Key Laboratory of Basic Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Key Laboratory of Clinical Diagnosis and Treatment Technology for Animal Disease, Ministry of Agriculture, Hohhot 010018, China.

Sixu Chen

2 publications dans cette catégorie

Affiliations :
  • College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Inner Mongolia Key Laboratory of Basic Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Key Laboratory of Clinical Diagnosis and Treatment Technology for Animal Disease, Ministry of Agriculture, Hohhot 010018, China.

Liang Zhang

2 publications dans cette catégorie

Affiliations :
  • College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Inner Mongolia Key Laboratory of Basic Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Key Laboratory of Clinical Diagnosis and Treatment Technology for Animal Disease, Ministry of Agriculture, Hohhot 010018, China.

Huiping Li

2 publications dans cette catégorie

Affiliations :
  • College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Inner Mongolia Key Laboratory of Basic Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Key Laboratory of Clinical Diagnosis and Treatment Technology for Animal Disease, Ministry of Agriculture, Hohhot 010018, China.

Yufei Zhang

2 publications dans cette catégorie

Affiliations :
  • College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Inner Mongolia Key Laboratory of Basic Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China.
  • Key Laboratory of Clinical Diagnosis and Treatment Technology for Animal Disease, Ministry of Agriculture, Hohhot 010018, China.

Yingxia Hu

2 publications dans cette catégorie

Affiliations :
  • Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.

Kirsten M Knecht

2 publications dans cette catégorie

Affiliations :
  • Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.

Yong Xiong

2 publications dans cette catégorie

Affiliations :
  • Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.

Anniken Jerre Borge

2 publications dans cette catégorie

Affiliations :
  • Norwegian Veterinary Institute, P.O. Box 64, 1431 Ås, Norway.

Britt Gjerset

2 publications dans cette catégorie

Affiliations :
  • Norwegian Veterinary Institute, P.O. Box 64, 1431 Ås, Norway.

Aphrodite I Kalogianni

2 publications dans cette catégorie

Affiliations :
  • Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, Agricultural University of Athens (AUA), Iera Odos 75 str., 11855 Athens, Greece.
Publications dans "Virus maedi-visna" :

Ioannis Bossis

2 publications dans cette catégorie

Affiliations :
  • Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, Agricultural University of Athens (AUA), Iera Odos 75 str., 11855 Athens, Greece.
Publications dans "Virus maedi-visna" :

Sources (10000 au total)

Relapse recovery in relapsing-remitting multiple sclerosis: An analysis of the CombiRx dataset.

Clinical relapses are the defining feature of relapsing forms of multiple sclerosis (MS), but relatively little is known about the time course of relapse recovery.... The aim of this study was to investigate the time course of and patient factors associated with the speed and success of relapse recovery in people with relapsing-remitting MS (RRMS).... Using data from CombiRx, a large RRMS trial (clinicaltrials.gov identifier NCT00211887), we measured the time to recovery from the first on-trial relapse. We used Kaplan-Meier survival analyses and Co... CombiRx included 1008 participants. We investigated 240 relapses. Median time to relapse recovery was 111 days. Most recovery events took place within 1 year of relapse onset: 202 of 240 (84%) individ... Recovery from relapses takes place up to approximately 1 year after the event. Relapse severity, but no other patient factors, was associated with the speed of relapse recovery. Our findings inform cl...

Cognitive trajectories in relapsing-remitting multiple sclerosis: Evidence of multiple evolutionary trends.

Cognitive impairment (CI) frequently occurs in multiple sclerosis (MS) and is assumed to increase over time. However, recent studies have suggested that the evolution of cognitive status in patients w... To explore the evolutionary patterns of cognitive status in a cohort of RRMS patients initiating a new disease modifying treatment (DMT), and to determine whether PROMs may have a predictive value for... The present prospective study is a 12-month follow-up of a cohort of 59 RRMS patients who underwent yearly a comprehensive, multiparametric assessment combining clinical (with EDSS assessment), neurop... A total of 33 patients (56%) were defined as cognitively impaired at baseline, and 20 (38%) were defined as impaired at follow-up after 12 months. The mean raw scores and Z-scores of all the cognitive... These findings provide additional evidence that evolution of CI in MS may be a dynamic phenomenon and will not usually follow an inevitable, declining trajectory, and do not support the utility of PRO...

Immunomodulators and immunosuppressants for relapsing-remitting multiple sclerosis: a network meta-analysis.

Different therapeutic strategies are available for the treatment of people with relapsing-remitting multiple sclerosis (RRMS), including immunomodulators, immunosuppressants and biological agents. Alt... To compare the efficacy and safety, through network meta-analysis, of interferon beta-1b, interferon beta-1a, glatiramer acetate, natalizumab, mitoxantrone, fingolimod, teriflunomide, dimethyl fumarat... CENTRAL, MEDLINE, Embase, and two trials registers were searched on 21 September 2021 together with reference checking, citation searching and contact with study authors to identify additional studies... Randomised controlled trials (RCTs) that studied one or more of the available immunomodulators and immunosuppressants as monotherapy in comparison to placebo or to another active agent, in adults with... Two authors independently selected studies and extracted data. We considered both direct and indirect evidence and performed data synthesis by pairwise and network meta-analysis. Certainty of the evid... We included 50 studies involving 36,541 participants (68.6% female and 31.4% male). Median treatment duration was 24 months, and 25 (50%) studies were placebo-controlled. Considering the risk of bias,... We are highly confident that, compared to placebo, two-year treatment with natalizumab, cladribine, or alemtuzumab decreases relapses more than with other DMTs. We are moderately confident that a two-...

The comparative effectiveness of fingolimod, natalizumab, and ocrelizumab in relapsing-remitting multiple sclerosis.

Fingolimod, natalizumab, and ocrelizumab are commonly used in the second-line treatment of relapsing-remitting multiple sclerosis (RRMS). However, these have only been compared in observational studie... The objective of this study was to compare the efficacy of fingolimod, natalizumab, and ocrelizumab in reducing disease activity in RRMS.... This multicenter, retrospective observational study was carried out with prospectively collected data from 16 centers. All consecutive RRMS patients treated with fingolimod, natalizumab, and ocrelizum... Propensity score matching retained 736 patients in the fingolimod versus 370 in the natalizumab groups, 762 in the fingolimod versus 434 in the ocrelizumab groups, and 310 in the natalizumab versus 31... Natalizumab and ocrelizumab exhibited similar effects on relapse control, and both were associated with better relapse control than fingolimod. The effects of the three therapies on disability outcome...

In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim.

The last few decades have seen the approval of many new treatment options for Relapsing-Remitting Multiple Sclerosis (RRMS), as well as advances in diagnostic methodology and criteria. These developme... In order to aid design of clinical trials in RRMS, we have developed a simulator called MS TreatSim which can simulate the response of customizable, heterogeneous groups of patients to four common Rel... In this study, the product was first applied to generate diverse populations of digital patients. Then we applied it to reproduce a phase III trial of natalizumab as published 15 years ago as a use ca... MS TreatSim's synergistic combination of a mechanistic model with a clinical trial simulation framework is a tool that may advance model-based clinical trial design....

Gut Microbiota as a Potential Predictive Biomarker in Relapsing-Remitting Multiple Sclerosis.

The influence of the microbiome on neurological diseases has been studied for years. Recent findings have shown a different composition of gut microbiota detected in patients with multiple sclerosis (... We analyzed the gut microbiota of 15 patients with active relapsing-remitting multiple sclerosis (RRMS), comparing with diet-matched healthy controls.... To determine the composition of the gut microbiota, we performed high-throughput sequencing of the 16S ribosomal RNA gene. The specific amplified sequences were in the V3 and V4 regions of the 16S rib... The gut microbiota of RRMS patients differed from healthy controls in the levels of the... There is a dysbiosis in the gut microbiota of RRMS patients. An analysis of the components of the microbiota suggests the role of some genera as a predictive factor of RRMS prognosis and diagnosis....

Comparative analysis of dimethyl fumarate and teriflunomide in relapsing-remitting multiple sclerosis.

In relapsing-remitting multiple sclerosis (RRMS), analyses from observational studies comparing dimethyl fumarate (DMF) and teriflunomide showed conflicting results. We aimed to compare the effectiven... We included all patients who initiated DMF or teriflunomide between 2013 and 2022, listed in the Swiss National Treatment Registry. Coarsened exact matching was applied using age, gender, disease dura... In total, 2028 patients were included in this study, of whom 1498 were matched (DMF: n = 1090, 69.6% female, mean age 45.1 years, median EDSS score 2.0; teriflunomide: n = 408, 68.9% female, mean age ... Analysis of real-world data showed that DMF treatment was associated with more favorable outcomes than teriflunomide treatment....

Prevalence and prognostic value of prodromal symptoms in relapsing-remitting multiple sclerosis.

Several studies have suggested the possibility that disease prodromes might occur months or even years before a multiple sclerosis diagnosis.... To describe the profile of prodromal symptoms and the possible relationship between the occurrence of individual symptoms and clinical course characteristics in patients with relapsing-remitting multi... The cohort included 564 patients with RRMS. Patients were stratified based on their current EDSS score, and the annual EDSS growth rate was calculated. Logistic Regression Analysis was used to study t... The most commonly reported prodromal symptom was fatigue (42%). The following symptoms were significantly more common in women than in men: headache (39.7% vs. 26.5%, p < 0.05), excessive sleepiness (... Prodromal pain, urinary and cognitive complaints (especially when these lead to deterioration of everyday functioning) were associated with a higher EDSS increase rate, and may thus be regarded as pos...