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Enregistrement W2245729899 · doi:10.1002/hep.22022

Abstracts 1315 to 1481, LB6–LB15

2007· article· en· W2245729899 sur OpenAlexfundno aff

Notice bibliographique

RevueHepatology · 2007
Typearticle
Langueen
DomaineNeuroscience
ThématiqueStress Responses and Cortisol
Établissements canadiensnon disponible
Organismes subventionnairesUniversität des SaarlandesValeant Pharmaceuticals InternationalUniversity of PennsylvaniaGilead SciencesGlaxoSmithKlineDuke Clinical Research InstituteBristol-Myers Squibb
Mots-clésMedicineInternal medicineQuality of life (healthcare)Depression (economics)AnxietyPEG ratioCohortHospital Anxiety and Depression ScalePegylated interferonMental healthGastroenterologyRibavirinPsychiatryImmunologyNursing

Résumé

récupéré en direct d'OpenAlex

over eighteen years [1].The exact cause of Type 1 Diabetes Mellitus (T1DM) is not known, nor is it preventable with current knowledge, but it can be treated with daily administration of insulin.Patients with this heterogeneous, multi factorial and polygenic disease are at increased risk of diabetic complications due to impaired blood flow with micro vascular complications, such as, retinopathy, neuropathy and nephropathy, and macro vascular complications, including cardiovascular, peripheral vascular disease and cerebro vascular diseases.This investigation primarily concerns patients with T1DM.However, although T1DM and T2DM are usually considered quite separately, there are some similarities between the two conditions, both of these conditions will be considered in building this picture of antioxidant responses to oxidative stress in the pathogenesis of diabetes [2,3].Increasingly, T2DM is recognised as a proinflammatory state with an increased risk of macro and micro vascular disorders, due to oxidative stress.Increased oxidative stress is manifested by increased lipid peroxidation and in increased DNA damage [4,5], whereas T1DM manifests itself as an attack of autoreavtive T-cells against pancreatic beta cells but in many ways the two conditions overlap substantially with both resulting in the deterioration of glycaemic control [6].Patients with diabetes often suffer from cardiomyopathy, which cannot be explained by impaired cardio perfusion.Cardiovascular disease risk is two-to four-times greater in individuals with Type 2 Diabetes Mellitus (T2DM), relative to individuals without diabetes.Further, diabetes is accompanied by increased cellular inflammation, as evidenced by increased monocytic superoxide, cytokines and adhesion to endothelium [5].The essential beta cell dysfunction can be influenced by many factors, including hyperglycemia/glucotoxicity, lipotoxicity, autoimmunity, inflammation, adipokines, islet amyloid, incretins and insulin resistance that can all influence the function of pancreatic beta cells.The resulting hyperglycaemia induces an excessive production of reactive oxygen species (ROS) leading to chronic oxidative stress (OS) [7].Studies on islets isolated from pancreata of subjects with T2DM showed increased markers of AbstractDiabetes is a heterogeneous disease where many factors are involved in its pathogenesis.The genotype frequency of Catalase (CAT) microsatellite polymorphism in patients with Type 1-Diabetes (T1DM) was analysed.86 T1DM patients (37M: 49F) and 81 normal controls (43M: 38F) were included in the investigation.The diabetic controls (DC) had an average age of 34.0 years ± 2.84 SEM (n=7, 3M: 4F), a mean duration of disease of 27.9 years ± 2.46 SEM and did not have any diabetic complications for at least 20 years.Patients with diabetic nephropathy (n=16, 7M: 9F) were on average 47.3 years ± 5.54 SEM and had been diagnosed for 30.8 years ± 2.94 SEM.There was also a group of patients that had been diagnosed for a short duration (SD) with a mean age of 21.7 years ± 2.60 SEM (n=8, 5M: 3F).A further 55 patients (21M:24F) had been diagnosed for 18.4 years ±1.30SEM; mean age of 26.7 years ± 1.13SEM but no complications were recorded and not eligible to be included in the DC group being diagnosed for less than 20 years.Significant differences reported between patients with diabetes (n=86, 37M: 49F) and normal healthy controls (n=81,43M:38F).Patients with diabetes had a higher percentage of heterozygous copies (54%; Chi-square=5.87;p=0.01); normal controls had a higher homozygous percentage (63%; Chi-square=6.5;p=0.01). ConclusionThis is the first reported polymorphism of CAT that may be associated with the cellular damage causing the onset of diabetes

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,768
Score d'incertitude au seuil0,777

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,2320,081

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,044
Tête enseignante GPT0,321
Écart entre enseignants0,276 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2007
Routes d'admission1
Résumé présentoui

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