Titre : Protéine-2 de découplage

Protéine-2 de découplage : Questions médicales fréquentes

Termes MeSH sélectionnés :

Databases, Factual
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de découplage", "description": "Quels symptômes sont liés à une altération de l'UCP2 ?\nL'UCP2 affecte-t-elle le métabolisme énergétique ?\nY a-t-il des signes de stress oxydatif liés à l'UCP2 ?\nL'UCP2 influence-t-elle la température corporelle ?\nDes troubles neurologiques peuvent-ils être liés à l'UCP2 ?", "url": "https://questionsmedicales.fr/mesh/D000071246?mesh_terms=Databases,+Factual&page=1000#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Protéine-2 de découplage", "description": "Comment prévenir les dysfonctionnements de l'UCP2 ?\nLe stress peut-il affecter l'UCP2 ?\nLes habitudes de sommeil influencent-elles l'UCP2 ?\nLes toxines environnementales affectent-elles l'UCP2 ?\nLa gestion du poids aide-t-elle l'UCP2 ?", "url": "https://questionsmedicales.fr/mesh/D000071246?mesh_terms=Databases,+Factual&page=1000#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Protéine-2 de découplage", "description": "Quels traitements ciblent l'UCP2 ?\nL'alimentation influence-t-elle l'UCP2 ?\nLes exercices physiques affectent-ils l'UCP2 ?\nDes thérapies géniques existent-elles pour l'UCP2 ?\nLes suppléments peuvent-ils aider l'UCP2 ?", "url": "https://questionsmedicales.fr/mesh/D000071246?mesh_terms=Databases,+Factual&page=1000#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Protéine-2 de découplage", "description": "Quelles complications sont liées à l'UCP2 ?\nL'UCP2 est-elle impliquée dans des maladies neurodégénératives ?\nDes troubles métaboliques peuvent-ils résulter de l'UCP2 ?\nL'UCP2 influence-t-elle la santé cardiovasculaire ?\nDes complications liées à l'UCP2 peuvent-elles être réversibles ?", "url": "https://questionsmedicales.fr/mesh/D000071246?mesh_terms=Databases,+Factual&page=1000#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Protéine-2 de découplage", "description": "Quels facteurs de risque sont associés à l'UCP2 ?\nL'âge influence-t-il l'UCP2 ?\nLes antécédents familiaux jouent-ils un rôle dans l'UCP2 ?\nLe tabagisme affecte-t-il l'UCP2 ?\nLe régime alimentaire influence-t-il l'UCP2 ?", "url": "https://questionsmedicales.fr/mesh/D000071246?mesh_terms=Databases,+Factual&page=1000#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment diagnostiquer une dysfonction de l'UCP2 ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Des tests génétiques et des analyses de sang peuvent aider à diagnostiquer des anomalies de l'UCP2." } }, { "@type": "Question", "name": "Quels marqueurs biochimiques sont associés à l'UCP2 ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Les niveaux de glucose, d'acides gras et de cytokines peuvent indiquer une dysfonction de l'UCP2." } }, { "@type": "Question", "name": "L'imagerie peut-elle aider à évaluer l'UCP2 ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "L'imagerie par résonance magnétique peut montrer des anomalies métaboliques liées à l'UCP2." } }, { "@type": "Question", "name": "Quels tests fonctionnels sont utilisés pour l'UCP2 ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Des tests de respiration cellulaire peuvent évaluer la fonction de l'UCP2 dans les mitochondries." } }, { "@type": "Question", "name": "Peut-on mesurer l'UCP2 dans les tissus ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des biopsies peuvent être effectuées pour mesurer l'expression de l'UCP2 dans les tissus." } }, { "@type": "Question", "name": "Quels symptômes sont liés à une altération de l'UCP2 ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Fatigue, prise de poids, résistance à l'insuline et troubles métaboliques peuvent survenir." } }, { "@type": "Question", "name": "L'UCP2 affecte-t-elle le métabolisme énergétique ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une altération de l'UCP2 peut entraîner une dysrégulation du métabolisme énergétique." } }, { "@type": "Question", "name": "Y a-t-il des signes de stress oxydatif liés à l'UCP2 ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une augmentation des radicaux libres et des marqueurs de stress oxydatif peut être observée." } }, { "@type": "Question", "name": "L'UCP2 influence-t-elle la température corporelle ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'UCP2 joue un rôle dans la thermogenèse, influençant la température corporelle." } }, { "@type": "Question", "name": "Des troubles neurologiques peuvent-ils être liés à l'UCP2 ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des dysfonctionnements de l'UCP2 sont associés à des troubles neurologiques et cognitifs." } }, { "@type": "Question", "name": "Comment prévenir les dysfonctionnements de l'UCP2 ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Maintenir un mode de vie sain avec une alimentation équilibrée et de l'exercice régulier aide." } }, { "@type": "Question", "name": "Le stress peut-il affecter l'UCP2 ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le stress chronique peut altérer la fonction de l'UCP2 et le métabolisme énergétique." } }, { "@type": "Question", "name": "Les habitudes de sommeil influencent-elles l'UCP2 ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Un sommeil de qualité est crucial pour la régulation de l'UCP2 et le métabolisme." } }, { "@type": "Question", "name": "Les toxines environnementales affectent-elles l'UCP2 ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'exposition à des toxines peut perturber la fonction de l'UCP2 et le métabolisme." } }, { "@type": "Question", "name": "La gestion du poids aide-t-elle l'UCP2 ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Oui, maintenir un poids santé peut prévenir les dysfonctionnements de l'UCP2 et des troubles métaboliques." } }, { "@type": "Question", "name": "Quels traitements ciblent l'UCP2 ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Des médicaments comme les agonistes des récepteurs PPAR peuvent moduler l'activité de l'UCP2." } }, { "@type": "Question", "name": "L'alimentation influence-t-elle l'UCP2 ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une alimentation riche en antioxydants peut améliorer la fonction de l'UCP2." } }, { "@type": "Question", "name": "Les exercices physiques affectent-ils l'UCP2 ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'exercice régulier peut augmenter l'expression de l'UCP2 et améliorer le métabolisme." } }, { "@type": "Question", "name": "Des thérapies géniques existent-elles pour l'UCP2 ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Des recherches sont en cours sur les thérapies géniques pour corriger les dysfonctionnements de l'UCP2." } }, { "@type": "Question", "name": "Les suppléments peuvent-ils aider l'UCP2 ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Des suppléments comme le coenzyme Q10 peuvent soutenir la fonction mitochondriale liée à l'UCP2." } }, { "@type": "Question", "name": "Quelles complications sont liées à l'UCP2 ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Des complications comme le diabète, l'obésité et des maladies cardiovasculaires peuvent survenir." } }, { "@type": "Question", "name": "L'UCP2 est-elle impliquée dans des maladies neurodégénératives ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des dysfonctionnements de l'UCP2 sont associés à des maladies comme Alzheimer et Parkinson." } }, { "@type": "Question", "name": "Des troubles métaboliques peuvent-ils résulter de l'UCP2 ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une altération de l'UCP2 peut entraîner des troubles métaboliques comme le syndrome métabolique." } }, { "@type": "Question", "name": "L'UCP2 influence-t-elle la santé cardiovasculaire ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une dysfonction de l'UCP2 peut augmenter le risque de maladies cardiovasculaires." } }, { "@type": "Question", "name": "Des complications liées à l'UCP2 peuvent-elles être réversibles ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Certaines complications peuvent être réversibles avec des changements de mode de vie et des traitements." } }, { "@type": "Question", "name": "Quels facteurs de risque sont associés à l'UCP2 ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "L'obésité, le diabète, et un mode de vie sédentaire sont des facteurs de risque importants." } }, { "@type": "Question", "name": "L'âge influence-t-il l'UCP2 ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le vieillissement peut affecter l'expression et la fonction de l'UCP2 dans les cellules." } }, { "@type": "Question", "name": "Les antécédents familiaux jouent-ils un rôle dans l'UCP2 ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des antécédents familiaux de troubles métaboliques peuvent augmenter le risque d'altération de l'UCP2." } }, { "@type": "Question", "name": "Le tabagisme affecte-t-il l'UCP2 ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le tabagisme peut altérer la fonction de l'UCP2 et augmenter le stress oxydatif." } }, { "@type": "Question", "name": "Le régime alimentaire influence-t-il l'UCP2 ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, un régime riche en graisses saturées peut nuire à la fonction de l'UCP2." } } ] } ] }

Sources (10000 au total)

Does the Risk of Hypersensitivity Reactions to Iopromide Differ by Sex, Race or across Regions/Countries? An Analysis of 152,233 Patients from Four Observational Studies and the Company's Pharmacovigilance Database.

To analyze the potential impact of patients' sex, race and region/country on the risk of hypersensitivity reactions after intra-venous or intra-arterial administration of iopromide.... Two analyses were performed. 1.) The "Phase-IV-Analysis" evaluated an integrated pooled database of 4 non-interventional studies. 2.) The "GPV-Analysis" evaluated case reports from the company's pharm... The Phase-IV-Analysis comprised 152,233 patients from 37 countries. In the full-analysis-set 145,033, 59,412 and146,649 patients were included in the sex, race and region/country cohort, respectively.... Phase-IV-Analysis: The HSR-incidence was significantly higher for women (0.72%) vs. men (0.55%) (p ≤ 0.0001). The unadjusted odds ratio (OR) was 1.3 (CI 1.154; 1.499), the adjusted OR was 1.156 (CI 1.... Phase-IV-Analysis: No significantly different HSR incidences for white (0.70%) and Asian (0.61%) patients (p = 0.3094) were detected.... Phase-IV-Analysis: The overall world HSR-incidence was 0.62%. Europe: 0.52%, Asia: 0.70%, USA: 0.75%, Germany: 0.51%, China: 0.41%, South Korea: 0.76%.GPV-Analysis: The overall world HSR-reporting rat... Women showed a slightly higher risk for HSRs than men. Impact of race was not found. HSR-reporting varied by region/country.... Risk for HSRs was increased by female sex but not by race or region/country....

A novel algorithm developed using machine learning and a J-ACCESS database can estimate defect scores from myocardial perfusion single-photon emission tomography images.

Stress myocardial perfusion single-photon emission computed tomography (SPECT) imaging (MPI) has been used to diagnose and predict the prognoses of patients with coronary artery disease (CAD). An ongo... We analyzed data from 1288 patients in J-ACCESS 3 and 4 databases. Three-dimensional (3D) stereoscopic images of left ventricular myocardial perfusion were reconstructed with linear transformation fro... The complete concordance rate of scores assessed by the experts and estimated by ML was 79.6%. The underestimated and overestimated rates were 10.3% and 10.0%, respectively. Associations between defec... We created a new algorithm to estimate MPI scores using ML and the J-ACCESS database. This algorithm should provide accurate MPI interpretation even in facilities without specialist nuclear cardiologi...

Sensitivity and specificity of Nanopore sequencing for detecting carbapenem and 3rd-generation cephalosporin-resistant Enterobacteriaceae in urine samples: Real-time simulation with public antimicrobial resistance gene database.

To evaluate the accuracy of beta-lactamase gene detection directly from urine samples by Nanopore sequencing.... DNA was extracted from bacterial pellets in spun urine. The purified DNA was then sequenced in native form by a Nanopore sequencer (MinION) to identify the organisms and beta-lactamase genes. Results ... We processed 60 urine samples of which routine cultures grew Enterobacteriaceae, including 28 carbapenem-resistant (CRE), 17 extended-spectrum beta-lactamase (ESBL) or AmpC producing, and 15 non-ESBL/... Nanopore sequencing can identify bacterial genotypic resistance in urine and may enable clinicians to adjust antimicrobial therapy earlier than routine AST....

Association between triglyceride glucose-body mass index and all-cause mortality in critically ill patients with acute myocardial infarction: retrospective analysis of the MIMIC-IV database.

Insulin resistance (IR) is closely related to the development of cardiovascular diseases. Triglyceride-glucose-body mass index (TyG-BMI) has been proven to be a reliable surrogate of IR, but the relat... The data of AMI patients were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. All patients were divided into four groups according to the TyG-BMI quartile. Outco... A total of 1,188 critically ill patients with AMI were included in this study. They were divided into four groups according to TyG-BMI quartiles, there were significant differences in 90-, 180-, and 3... U-shaped relationships are existed between the TyG-BMI index and 90-, 180-, and 365-day all-cause mortality in critically ill patients with AMI, but not 30-day all-cause mortality. The TyG-BMI index c...

Effectiveness of switching from first-generation basal insulin to Glargine 300 U/mL in children and adolescents with type 1 diabetes: results from the ISPED CARD database.

Glargine 300 U/mL (Gla-300) has been recently approved for use in children and adolescents with type 1 diabetes (T1D). However, real-world effectiveness data are scarce, and aim of this analysis was t... ISPED CARD is a retrospective, multicenter study, based on data anonymously extracted from Electronic Medical Records. The study involved a network of 20 pediatric diabetes centers. Data on all patien... Overall, 200 patients were identified. The mean age at the switch to Gla-300 was 13 years, and mean duration of diabetes was 3.9 years. Average HbA1c levels at switch were 8.8%. After 6 months, HbA1c ... The study provides the first real-world evidence of the effectiveness of Gla-300 in children and adolescents with T1D previously treated with 1BI. The benefits in terms of HbA1c levels reduction were ...

Association between the COVID-19 pandemic and childhood development aged 30 to 36 months in South Korea, based on the National health screening program for infants and children database.

The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on the neurodevelopment of children. However, the precise effects of the virus and the social consequences of the pandemic... The study used the Korean Developmental Screening Test to compare the difference in the risk of neurodevelopmental delay between before and during the COVID-19 pandemic. Multivariable logistic regress... This study found an association between the experience of COVID-19 and a higher risk of neurodevelopmental delay in communication (adjusted OR [aOR]: 1.21, 95% confidence interval [CI]: 1.19, 1.22; P-... These findings highlight the need to be concerned about the neurodevelopment of children who experienced the COVID-19 pandemic. The study also calls for increased training and support for Medicaid chi...

Performance of a Region of Interest-based Algorithm in Diagnosing International Society of Urological Pathology Grade Group ≥2 Prostate Cancer on the MRI-FIRST Database-CAD-FIRST Study.

Prostate multiparametric magnetic resonance imaging (MRI) shows high sensitivity for International Society of Urological Pathology grade group (GG) ≥2 cancers. Many artificial intelligence algorithms ... The lesions targeted at biopsy in the MRI-FIRST dataset were retrospectively delineated and assessed using a previously developed algorithm. The Prostate Imaging-Reporting and Data System version 2 (P... After excluding 19 patients, we analysed 232 patients imaged on 16 different scanners; 85 had GG ≥2 cancer at biopsy. At patient level, AUCs of the algorithm and PI-RADSv2 were 77% (95% confidence int... The algorithm provided robust results in the multicentre multiscanner MRI-FIRST database and could help select patients for biopsy.... An artificial intelligence-based algorithm aimed at diagnosing aggressive cancers on prostate magnetic resonance imaging showed results similar to expert human assessment in a prospectively acquired m...

Exploration of the potential association between GLP-1 receptor agonists and suicidal or self-injurious behaviors: a pharmacovigilance study based on the FDA Adverse Event Reporting System database.

Establishing whether there is a potential relationship between glucagon-like peptide 1 receptor agonists (GLP-1RAs) and suicidal or self-injurious behaviors (SSIBs) is crucial for public safety. This ... A disproportionality analysis was conducted using post-marketing data from the FAERS repository (2018 Q1 to 2022 Q4). SSIB cases associated with GLP-1RAs were identified and analyzed through dispropor... In total, 204 cases of SSIBs associated with GLP-1RAs, including semaglutide, liraglutide, dulaglutide, exenatide, and albiglutide, were identified in the FAERS database. Time-of-onset analysis reveal... We found no signal of disproportionate reporting of an association between GLP-1RA use and SSIBs. Clinicians need to maintain heightened vigilance on patients premedicated with neuropsychotropic drugs...

LASSO-derived prognostic model predicts cancer-specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age: a retrospective study of SEER database research.

This study aimed to develop a prognostic model for patients with advanced ductal adenocarcinoma aged ≥50 years.... Patient information was extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Least absolute shrinkage and selection operator (LASSO) Cox regression analysis was performed to... In total, 17,621 eligible patients were included. Lasso Cox regression selected 4 variables including age, chemotherapy, radiotherapy and AJCC stage. The C-index of the training cohort was 0.721. The ... This study established a prognostic nomogram and risk classification system for advanced pancreatic cancer in patients aged ≥50 years to provide a practical tool for the clinical management of patient...