Récepteur muscarinique de type M1 : Questions médicales fréquentes
Nom anglais: Receptor, Muscarinic M1
Descriptor UI:D043643
Tree Number:D12.776.543.750.720.360.500.099
Termes MeSH sélectionnés :
Machine Learning
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "MedicalWebPage",
"name": "Récepteur muscarinique de type M1 : Questions médicales les plus fréquentes",
"headline": "Récepteur muscarinique de type M1 : Comprendre les symptômes, diagnostics et traitements",
"description": "Guide complet et accessible sur les Récepteur muscarinique de type M1 : explications, diagnostics, traitements et prévention. Information médicale validée destinée aux patients.",
"datePublished": "2024-06-01",
"dateModified": "2025-02-26",
"inLanguage": "fr",
"medicalAudience": [
{
"@type": "MedicalAudience",
"name": "Grand public",
"audienceType": "Patient",
"healthCondition": {
"@type": "MedicalCondition",
"name": "Récepteur muscarinique de type M1"
},
"suggestedMinAge": 18,
"suggestedGender": "unisex"
},
{
"@type": "MedicalAudience",
"name": "Médecins",
"audienceType": "Physician",
"geographicArea": {
"@type": "AdministrativeArea",
"name": "France"
}
},
{
"@type": "MedicalAudience",
"name": "Chercheurs",
"audienceType": "Researcher",
"geographicArea": {
"@type": "AdministrativeArea",
"name": "International"
}
}
],
"reviewedBy": {
"@type": "Person",
"name": "Dr Olivier Menir",
"jobTitle": "Expert en Médecine",
"description": "Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale",
"url": "/static/pages/docteur-olivier-menir.html",
"alumniOf": {
"@type": "EducationalOrganization",
"name": "Université Paris Descartes"
}
},
"isPartOf": {
"@type": "MedicalWebPage",
"name": "Récepteur muscarinique",
"url": "https://questionsmedicales.fr/mesh/D011976",
"about": {
"@type": "MedicalCondition",
"name": "Récepteur muscarinique",
"code": {
"@type": "MedicalCode",
"code": "D011976",
"codingSystem": "MeSH"
},
"identifier": {
"@type": "PropertyValue",
"propertyID": "MeSH Tree",
"value": "D12.776.543.750.720.360.500"
}
}
},
"about": {
"@type": "MedicalCondition",
"name": "Récepteur muscarinique de type M1",
"alternateName": "Receptor, Muscarinic M1",
"code": {
"@type": "MedicalCode",
"code": "D043643",
"codingSystem": "MeSH"
}
},
"author": [
{
"@type": "Person",
"name": "Brian Dean",
"url": "https://questionsmedicales.fr/author/Brian%20Dean",
"affiliation": {
"@type": "Organization",
"name": "The Molecular Psychiatry Laboratory, The Florey Institute for Neuroscience and Mental Health, Parkville, Victoria 3052, Australia. Electronic address: brian.dean@florey.edu.au."
}
},
{
"@type": "Person",
"name": "Yu Qiu",
"url": "https://questionsmedicales.fr/author/Yu%20Qiu",
"affiliation": {
"@type": "Organization",
"name": "Department of Pharmacology and Chemical Biology, Institute of Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China."
}
},
{
"@type": "Person",
"name": "Louis Dwomoh",
"url": "https://questionsmedicales.fr/author/Louis%20Dwomoh",
"affiliation": {
"@type": "Organization",
"name": "The Centre for Translational Pharmacology, Institute of Molecular, Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom."
}
},
{
"@type": "Person",
"name": "Andrew B Tobin",
"url": "https://questionsmedicales.fr/author/Andrew%20B%20Tobin",
"affiliation": {
"@type": "Organization",
"name": "The Centre for Translational Pharmacology, Institute of Molecular, Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom."
}
},
{
"@type": "Person",
"name": "Lan-Xue Zhao",
"url": "https://questionsmedicales.fr/author/Lan-Xue%20Zhao",
"affiliation": {
"@type": "Organization",
"name": "Department of Pharmacology and Chemical Biology, Institute of Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China."
}
}
],
"citation": [
{
"@type": "ScholarlyArticle",
"name": "Constructing a visual detection model for floc settling velocity using machine learning.",
"datePublished": "2024-10-03",
"url": "https://questionsmedicales.fr/article/39366220",
"identifier": {
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1016/j.jenvman.2024.122805"
}
},
{
"@type": "ScholarlyArticle",
"name": "Machine learning-based modeling of surface water temperature dynamics in arctic lakes.",
"datePublished": "2024-10-03",
"url": "https://questionsmedicales.fr/article/39361201",
"identifier": {
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1007/s11356-024-35173-x"
}
},
{
"@type": "ScholarlyArticle",
"name": "Survival prediction for heart failure complicated by sepsis: based on machine learning methods.",
"datePublished": "2024-10-03",
"url": "https://questionsmedicales.fr/article/39421876",
"identifier": {
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.3389/fmed.2024.1410702"
}
},
{
"@type": "ScholarlyArticle",
"name": "Machine learning derived model for the prediction of bleeding in dual antiplatelet therapy patients.",
"datePublished": "2024-10-02",
"url": "https://questionsmedicales.fr/article/39416431",
"identifier": {
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.3389/fcvm.2024.1402672"
}
},
{
"@type": "ScholarlyArticle",
"name": "A machine learning approach to map the potential agroecological complexity in an indigenous community of Colombia.",
"datePublished": "2024-09-28",
"url": "https://questionsmedicales.fr/article/39342832",
"identifier": {
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1016/j.jenvman.2024.122655"
}
}
],
"breadcrumb": {
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "questionsmedicales.fr",
"item": "https://questionsmedicales.fr"
},
{
"@type": "ListItem",
"position": 2,
"name": "Acides aminés, peptides et protéines",
"item": "https://questionsmedicales.fr/mesh/D000602"
},
{
"@type": "ListItem",
"position": 3,
"name": "Protéines",
"item": "https://questionsmedicales.fr/mesh/D011506"
},
{
"@type": "ListItem",
"position": 4,
"name": "Protéines membranaires",
"item": "https://questionsmedicales.fr/mesh/D008565"
},
{
"@type": "ListItem",
"position": 5,
"name": "Récepteurs de surface cellulaire",
"item": "https://questionsmedicales.fr/mesh/D011956"
},
{
"@type": "ListItem",
"position": 6,
"name": "Récepteurs aux neuromédiateurs",
"item": "https://questionsmedicales.fr/mesh/D017981"
},
{
"@type": "ListItem",
"position": 7,
"name": "Récepteurs cholinergiques",
"item": "https://questionsmedicales.fr/mesh/D011950"
},
{
"@type": "ListItem",
"position": 8,
"name": "Récepteur muscarinique",
"item": "https://questionsmedicales.fr/mesh/D011976"
},
{
"@type": "ListItem",
"position": 9,
"name": "Récepteur muscarinique de type M1",
"item": "https://questionsmedicales.fr/mesh/D043643"
}
]
}
},
{
"@type": "MedicalWebPage",
"name": "Article complet : Récepteur muscarinique de type M1 - Questions et réponses",
"headline": "Questions et réponses médicales fréquentes sur Récepteur muscarinique de type M1",
"description": "Une compilation de questions et réponses structurées, validées par des experts médicaux.",
"datePublished": "2025-05-10",
"inLanguage": "fr",
"hasPart": [
{
"@type": "MedicalWebPage",
"name": "Diagnostic",
"headline": "Diagnostic sur Récepteur muscarinique de type M1",
"description": "Comment diagnostiquer une dysfonction du récepteur M1 ?\nQuels tests sont utilisés pour évaluer le récepteur M1 ?\nQuels symptômes peuvent indiquer un problème avec le récepteur M1 ?\nY a-t-il des biomarqueurs pour le récepteur M1 ?\nComment les médicaments affectent-ils le diagnostic ?",
"url": "https://questionsmedicales.fr/mesh/D043643?mesh_terms=Machine+Learning&page=995#section-diagnostic"
},
{
"@type": "MedicalWebPage",
"name": "Symptômes",
"headline": "Symptômes sur Récepteur muscarinique de type M1",
"description": "Quels sont les symptômes d'une activation excessive du récepteur M1 ?\nQuels symptômes sont associés à une inhibition du récepteur M1 ?\nLes symptômes varient-ils selon l'âge ?\nComment les symptômes affectent-ils la vie quotidienne ?\nY a-t-il des symptômes physiques associés ?",
"url": "https://questionsmedicales.fr/mesh/D043643?mesh_terms=Machine+Learning&page=995#section-symptômes"
},
{
"@type": "MedicalWebPage",
"name": "Prévention",
"headline": "Prévention sur Récepteur muscarinique de type M1",
"description": "Comment prévenir les dysfonctionnements du récepteur M1 ?\nL'alimentation joue-t-elle un rôle préventif ?\nLe stress a-t-il un impact sur le récepteur M1 ?\nLes exercices mentaux sont-ils bénéfiques ?\nY a-t-il des habitudes de vie à éviter ?",
"url": "https://questionsmedicales.fr/mesh/D043643?mesh_terms=Machine+Learning&page=995#section-prévention"
},
{
"@type": "MedicalWebPage",
"name": "Traitements",
"headline": "Traitements sur Récepteur muscarinique de type M1",
"description": "Quels traitements sont disponibles pour les dysfonctionnements M1 ?\nLes médicaments anticholinergiques sont-ils efficaces ?\nLa thérapie comportementale aide-t-elle ?\nY a-t-il des traitements expérimentaux en cours ?\nComment la nutrition influence-t-elle le traitement ?",
"url": "https://questionsmedicales.fr/mesh/D043643?mesh_terms=Machine+Learning&page=995#section-traitements"
},
{
"@type": "MedicalWebPage",
"name": "Complications",
"headline": "Complications sur Récepteur muscarinique de type M1",
"description": "Quelles complications peuvent survenir avec une dysfonction M1 ?\nLes complications sont-elles réversibles ?\nComment les complications affectent-elles la qualité de vie ?\nY a-t-il des risques de complications à long terme ?\nLes complications peuvent-elles être prévenues ?",
"url": "https://questionsmedicales.fr/mesh/D043643?mesh_terms=Machine+Learning&page=995#section-complications"
},
{
"@type": "MedicalWebPage",
"name": "Facteurs de risque",
"headline": "Facteurs de risque sur Récepteur muscarinique de type M1",
"description": "Quels sont les principaux facteurs de risque pour les dysfonctionnements M1 ?\nLe mode de vie influence-t-il les risques ?\nLes antécédents médicaux jouent-ils un rôle ?\nLe stress chronique est-il un facteur de risque ?\nY a-t-il des facteurs environnementaux à considérer ?",
"url": "https://questionsmedicales.fr/mesh/D043643?mesh_terms=Machine+Learning&page=995#section-facteurs de risque"
}
]
},
{
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "Comment diagnostiquer une dysfonction du récepteur M1 ?",
"position": 1,
"acceptedAnswer": {
"@type": "Answer",
"text": "Le diagnostic repose sur des tests neuropsychologiques et l'imagerie cérébrale."
}
},
{
"@type": "Question",
"name": "Quels tests sont utilisés pour évaluer le récepteur M1 ?",
"position": 2,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des tests de liaison de ligands et des études électrophysiologiques sont utilisés."
}
},
{
"@type": "Question",
"name": "Quels symptômes peuvent indiquer un problème avec le récepteur M1 ?",
"position": 3,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des troubles de la mémoire, de l'attention et des fonctions cognitives peuvent survenir."
}
},
{
"@type": "Question",
"name": "Y a-t-il des biomarqueurs pour le récepteur M1 ?",
"position": 4,
"acceptedAnswer": {
"@type": "Answer",
"text": "Actuellement, il n'existe pas de biomarqueurs spécifiques pour le récepteur M1."
}
},
{
"@type": "Question",
"name": "Comment les médicaments affectent-ils le diagnostic ?",
"position": 5,
"acceptedAnswer": {
"@type": "Answer",
"text": "Certains médicaments peuvent masquer les symptômes liés à la dysfonction du récepteur M1."
}
},
{
"@type": "Question",
"name": "Quels sont les symptômes d'une activation excessive du récepteur M1 ?",
"position": 6,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une activation excessive peut entraîner des troubles cognitifs et des hallucinations."
}
},
{
"@type": "Question",
"name": "Quels symptômes sont associés à une inhibition du récepteur M1 ?",
"position": 7,
"acceptedAnswer": {
"@type": "Answer",
"text": "L'inhibition peut causer des troubles de la mémoire et une diminution de l'attention."
}
},
{
"@type": "Question",
"name": "Les symptômes varient-ils selon l'âge ?",
"position": 8,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, les symptômes peuvent être plus prononcés chez les personnes âgées."
}
},
{
"@type": "Question",
"name": "Comment les symptômes affectent-ils la vie quotidienne ?",
"position": 9,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les troubles cognitifs peuvent nuire à l'autonomie et aux interactions sociales."
}
},
{
"@type": "Question",
"name": "Y a-t-il des symptômes physiques associés ?",
"position": 10,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des symptômes physiques comme des tremblements peuvent également être présents."
}
},
{
"@type": "Question",
"name": "Comment prévenir les dysfonctionnements du récepteur M1 ?",
"position": 11,
"acceptedAnswer": {
"@type": "Answer",
"text": "Maintenir une activité cognitive et physique régulière peut aider à prévenir."
}
},
{
"@type": "Question",
"name": "L'alimentation joue-t-elle un rôle préventif ?",
"position": 12,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, une alimentation équilibrée riche en oméga-3 peut réduire les risques."
}
},
{
"@type": "Question",
"name": "Le stress a-t-il un impact sur le récepteur M1 ?",
"position": 13,
"acceptedAnswer": {
"@type": "Answer",
"text": "Un stress chronique peut altérer la fonction cognitive et affecter le récepteur M1."
}
},
{
"@type": "Question",
"name": "Les exercices mentaux sont-ils bénéfiques ?",
"position": 14,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, les exercices mentaux réguliers peuvent renforcer les connexions neuronales."
}
},
{
"@type": "Question",
"name": "Y a-t-il des habitudes de vie à éviter ?",
"position": 15,
"acceptedAnswer": {
"@type": "Answer",
"text": "Éviter l'alcool et le tabac peut réduire le risque de dysfonctionnement cognitif."
}
},
{
"@type": "Question",
"name": "Quels traitements sont disponibles pour les dysfonctionnements M1 ?",
"position": 16,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les traitements incluent des médicaments anticholinestérasiques et des thérapies cognitives."
}
},
{
"@type": "Question",
"name": "Les médicaments anticholinergiques sont-ils efficaces ?",
"position": 17,
"acceptedAnswer": {
"@type": "Answer",
"text": "Ils peuvent aggraver les symptômes en bloquant l'action du récepteur M1."
}
},
{
"@type": "Question",
"name": "La thérapie comportementale aide-t-elle ?",
"position": 18,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, la thérapie comportementale peut améliorer les fonctions cognitives."
}
},
{
"@type": "Question",
"name": "Y a-t-il des traitements expérimentaux en cours ?",
"position": 19,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des recherches sur des agonistes sélectifs du récepteur M1 sont en cours."
}
},
{
"@type": "Question",
"name": "Comment la nutrition influence-t-elle le traitement ?",
"position": 20,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une alimentation riche en antioxydants peut soutenir la santé cognitive."
}
},
{
"@type": "Question",
"name": "Quelles complications peuvent survenir avec une dysfonction M1 ?",
"position": 21,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des complications incluent des troubles sévères de la mémoire et des démences."
}
},
{
"@type": "Question",
"name": "Les complications sont-elles réversibles ?",
"position": 22,
"acceptedAnswer": {
"@type": "Answer",
"text": "Certaines complications peuvent être réversibles avec un traitement approprié."
}
},
{
"@type": "Question",
"name": "Comment les complications affectent-elles la qualité de vie ?",
"position": 23,
"acceptedAnswer": {
"@type": "Answer",
"text": "Elles peuvent gravement diminuer l'autonomie et la qualité de vie des patients."
}
},
{
"@type": "Question",
"name": "Y a-t-il des risques de complications à long terme ?",
"position": 24,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des risques de complications chroniques comme la démence existent."
}
},
{
"@type": "Question",
"name": "Les complications peuvent-elles être prévenues ?",
"position": 25,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une gestion proactive des symptômes peut aider à prévenir certaines complications."
}
},
{
"@type": "Question",
"name": "Quels sont les principaux facteurs de risque pour les dysfonctionnements M1 ?",
"position": 26,
"acceptedAnswer": {
"@type": "Answer",
"text": "L'âge avancé, les antécédents familiaux et les maladies neurodégénératives sont des facteurs."
}
},
{
"@type": "Question",
"name": "Le mode de vie influence-t-il les risques ?",
"position": 27,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, un mode de vie sédentaire et une mauvaise alimentation augmentent les risques."
}
},
{
"@type": "Question",
"name": "Les antécédents médicaux jouent-ils un rôle ?",
"position": 28,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des antécédents de troubles neurologiques augmentent le risque de dysfonctionnement M1."
}
},
{
"@type": "Question",
"name": "Le stress chronique est-il un facteur de risque ?",
"position": 29,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, le stress chronique peut contribuer à la dégradation cognitive et au dysfonctionnement M1."
}
},
{
"@type": "Question",
"name": "Y a-t-il des facteurs environnementaux à considérer ?",
"position": 30,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, l'exposition à des toxines environnementales peut augmenter le risque de dysfonctionnement."
}
}
]
}
]
}
Optimizing the dosage of coagulant is a time-consuming process, and real-time evaluation of floc settling velocity can quickly predict the coagulation effect and optimize the dosage. This study used a...
Lake surface-water temperature (LSWT) regulates physical and biochemical processes in lakes. Therefore, understanding the LSWT dynamics is important, especially in Arctic zone since the region is expe...
Heart failure is a cardiovascular disorder, while sepsis is a common non-cardiac cause of mortality. Patients with combined heart failure and sepsis have a significantly higher mortality rate and poor...
We constructed a survival prediction model for patients with heart failure and sepsis using the eICU-CRD database and externally validated it using the MIMIC-IV database. Our primary outcome is the 28...
We developed a survival prediction model for heart failure complicated by sepsis using data from 3891 patients in the eICU-CRD and validated it externally with 2928 patients from the MIMIC-IV database...
Based on the LR algorithm, a model was constructed to effectively predict the 28-day all-cause mortality rate in patients with heart failure complicated by sepsis. Utilizing our model predictions, cli...
This study aimed to develop a predictive model for assessing bleeding risk in dual antiplatelet therapy (DAPT) patients....
A total of 18,408 DAPT patients were included. Data on patients' demographics, clinical features, underlying diseases, past history, and laboratory examinations were collected from Affiliated Dongyang...
The XGBoost model demonstrated the highest AUC. The model features were comprised of seven clinical variables, including: HGB, PLT, previous bleeding, cerebral infarction, sex, Surgical history, and h...
This study successfully developed a predictive model for estimating bleeding risk in DAPT patients. It has the potential to optimize treatment planning, improve patient outcomes, and enhance resource ...
Agroecological systems are potential solutions to the environmental challenges of intensive agriculture. Indigenous communities, such as the Kamëntšá Biyá and Kamëntšá Inga from the Sibundoy Valley (S...
Delirium is a syndrome that leads to severe complications in hospitalized patients, but is considered preventable in many cases. One of the biggest challenges is to identify patients at risk in a hect...
738 in-patients of a vascular surgery, a trauma surgery and an orthopedic surgery department were screened for delirium using the DOS scale twice a day over their hospital stay. Concurrently, delirium...
103 patients (14.0%) were screened positive for delirium using the DOS scale. Out of them, 85 (82.5%) were correctly identified by the ML algorithm. Specificity was slightly lower, detecting 463 (72.9...
In this prospective validation study, the implemented machine-learning algorithm was able to detect patients with delirium in surgical departments with high discriminative performance....
In future, this tool or similar decision support systems may help to replace time-intensive screening tools and enable efficient prevention of delirium....
Can we use data on the biographies of historical figures to estimate the GDP per capita of countries and regions? Here, we introduce a machine learning method to estimate the GDP per capita of dozens ...
The purpose of the research is to design an algorithm to predict the occurrence of acute respiratory failure (ARF) in patients with acute pancreatitis (AP)....
We collected data on patients with AP in the Medical Information Mart for Intensive Care IV database. The enrolled observations were randomly divided into a 70 % training cohort and a 30 % validation ...
Among 4527 patients, 445 patients (9.8 %) experienced ARF. Ca, ALB, GLR, WBC, AG and BUN have been included in the prediction model as features for predicting ARF. The AUC of XGBoost were 0.86 (95 %CI...
The XGBOOST model demonstrates good discriminatory ability, which enables clinicians to ascertain the probability of developing ARF in AP patients....
Complex plasmas consist of ionized gas and charged solid microparticles, representing the plasma state of soft matter. We apply machine learning methods to investigate a melting transition in a two-di...
Severe fever with thrombocytopenia syndrome (SFTS) has attracted attention due to the rising incidence and high severity and mortality rates. This study aims to construct a machine learning (ML) model...
Data of patients hospitalized for SFTS in two hospitals were collected as training and validation sets, respectively, and six ML methods were used to construct the models using the screened variables ...
A total of 483 participants were enrolled in the study and 96 (19.88%) patients died due to SFTS. After a comprehensive evaluation, the XGBoost-based model performs best: the AUC scores for the traini...
Using ML can be a good way to identify high risk individuals in SFTS patients. We can use this model to identify patients at high risk of death early in their admission and manage them intensively at ...