Search results for "T2DM"

showing 10 items of 17 documents

INFLAMMATORY BOWEL DISEASE, COLORECTAL CANCER AND TYPE 2 DIABETES MELLITUS: THE LINKS

2016

The co-occurrence of the three disease entities, inflammatory bowel disease (IBD), colorectal cancer (CRC), type 2diabetes mellitus (T2DM) along with inflammation and dismicrobism has been frequently reported. Some authors have even suggested that dysbiosis could be the link through a molecular crosstalk of multiple inflammatory loops including TGFβ, NFKB, TNFα and ROS among others. This review focuses on the inflammatory process along with the role of microbiota in the pathophysiology of the three diseases. The etiology of IBD is multifactorial, and like CRC and T2DM, it is associated with a widespread and sustained GI inflammation and dismicrobism, whereby an array of pro-inflammatory med…

0301 basic medicineColorectal cancerIBDT2DMInflammationDiseaseReviewSystemic inflammationProbioticInflammatory bowel diseasePathology and Forensic MedicinePathogenesis03 medical and health sciences0302 clinical medicinePhysiology (medical)medicineInflammationbusiness.industrymedicine.diseasedigestive system diseasesCRC030104 developmental biology030220 oncology & carcinogenesisImmunologyInflammatory Bowel diseases IBD colorectal cancer diabetes mellitusMolecular MedicineDysbiosisTumor necrosis factor alphamedicine.symptombusinessDysbiosis
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Metabolic signatures across the full spectrum of non-alcoholic fatty liver disease.

2022

Funder: European Commission

ALTtype 2 diabetes mellitusROC receiving operator characteristicaspartate aminotransferaseHSDLDL low-density lipoproteinUHPLC ultrahigh-performance liquid chromatographyROCHCCNon-alcoholic steatohepatitisGCPCANASHGastroenterology2-HB 2-hydroxybutanoic acid; 3-HB 3-hydroxybutanoic acid; ALT alanine aminotransferase; AST aspartate aminotransferase; CE cholesterol ester; Cer ceramide; FFA free fatty acid; FLIP Fatty Liver Inhibition of Progression; Fibrosis; GC gas chromatography; HCC hepatocellular carcinoma; HSD honest significant difference; LC lipid cluster; LDL low-density lipoprotein; LM lipid and metabolite; LMC lipid metabolite and clinical variable; LPC lysophosphatidylcholine; Lipidomics; Mass spectrometry; Metabolomics; NAFL non-alcoholic fatty liver; NAFLD non-alcoholic fatty liver disease; NAS NASH activity score; NASH non-alcoholic steatohepatitis; NIDDK NASH-CRN National Institute of Digestive Diseases and Kidney NASH Clinical Research Network; NRR non-rejection rate; Non-alcoholic steatohepatitis; PC(O) ether PC; PC phosphatidylcholine; PCA principal component analysis; PE phosphatidylethanolamine; QTOFMS quadrupole-time-of-flight mass spectrometry; ROC receiving operator characteristic; SAF steatosis activity and fibrosis; SM sphingomyelin; T2DM type 2 diabetes mellitus; TG triacylglycerol; UHPLC ultrahigh-performance liquid chromatographySAFSAF steatosis activity and fibrosisLM lipid and metabolitehonest significant differenceHSD honest significant differenceTG triacylglycerolnon-rejection ratecholesterol esterPCPEGC gas chromatographyfree fatty acidFLIPNASH non-alcoholic steatohepatitisNIDDK NASH-CRN National Institute of Digestive Diseases and Kidney NASH Clinical Research NetworkBIOMARKERST2DMPE phosphatidylethanolamineLDLlipidNAFLDFFA free fatty acid2-HBMetabolomicsNAFL non-alcoholic fatty liverLMCphosphatidylcholineScience & TechnologySM sphingomyelinGastroenterology & HepatologyMass spectrometryactivitynutritional and metabolic diseasesT2DM type 2 diabetes mellitusACIDSreceiving operator characteristicdigestive system diseasesquadrupole-time-of-flight mass spectrometryLC lipid clusterlow-density lipoproteinNAS2-HB 2-hydroxybutanoic acidNAS NASH activity scoreQTOFMSether PCNRRSCORING SYSTEMprincipal component analysisgas chromatographyLC2-hydroxybutanoic acidPROGRESSIONAST aspartate aminotransferaseLMPC phosphatidylcholinePC(O)MARKERSUHPLCsteatosisTOOLImmunology and AllergyINSULIN-RESISTANCECerSMFatty Liver Inhibition of Progressionhepatocellular carcinoma2-HB 2-hydroxybutanoic acid NIDDK NASH-CRN National Institute of Digestive Diseases and Kidney NASH Clinical Research Network NRR non-rejection rate Non-alcoholic steatohepatitis PC(O) ether PC PC phosphatidylcholine PCA principal component analysis PE phosphatidylethanolamine QTOFMS quadrupole-time-of-flight mass spectrometry ROC receiving operator characteristic SAF steatosis activity and fibrosis SM T2DM type 2 diabetes mellitus TG triacylglycerol UHPLC ultrahigh-performance liquid chromatographyultrahigh-performance liquid chromatographyCELPC3-HBNAFLnon-alcoholic fatty liverTGtriacylglycerolNRR non-rejection rateLife Sciences & BiomedicineNAFLD non-alcoholic fatty liver diseaseFLIP Fatty Liver Inhibition of Progressionalanine aminotransferasemetaboliteCer ceramideCE cholesterol estersphingomyelinlysophosphatidylcholineand fibrosisALT alanine aminotransferaseInternal MedicineceramideNational Institute of Digestive Diseases and Kidney NASH Clinical Research NetworkAST3-HB 3-hydroxybutanoic acidQTOFMS quadrupole-time-of-flight mass spectrometryPCA principal component analysisLPC lysophosphatidylcholineHepatologynon-alcoholic fatty liver diseaseand clinical variablePC(O) ether PC3-hydroxybutanoic acidFibrosisNASH activity scoreNIDDK NASH-CRNlipid clusterlipid and metabolitephosphatidylethanolamineLipidomicsLMC lipid metabolite and clinical variableFFAHCC hepatocellular carcinomaJHEP reports : innovation in hepatology
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SHIP2: A “NEW” Insulin Pathway Target for Aging Research

2014

Strong evidence suggests that systemic inflammation and central adiposity contribute to and perpetuate metabolic syndrome. All of these alterations predispose individuals to type 2 diabetes mellitus (T2DM), cardiovascular disease, as well as Alzheimer's disease (AD), all characterized by chronic inflammatory status. On the other hand, extensive abnormalities in insulin and insulin-like growth factor I (IGF-I) and IGF-II signaling mechanisms in brains with AD have been demonstrated, suggesting that AD could be a third form of diabetes. The Src homology domain-containing inositol 5-phosphatase 2 (SHIP2) has an important role in the insulin pathway because its over-expression causes impairment…

AdultAgingmedicine.medical_specialtymedicine.medical_treatmentDiseaseBiologySystemic inflammationPolymorphism Single Nucleotidepolymorphismchemistry.chemical_compounddomain-containing inositol 5-phosphatase 2 (SHIP2) insulin-like growth factor I (IGF-I) type 2 diabetes mellitus (T2DM)INFLAMMATIONGene FrequencyAlzheimer DiseaseDiabetes mellitusInternal medicinemedicineHumansInsulinSettore MED/05 - Patologia ClinicaSNPInositolAgedSettore MED/04 - Patologia GeneraleALZHEIMER’S DISEASEResearchInsulinInositol Polyphosphate 5-PhosphatasesNEURODEGENERATIONType 2 Diabetes Mellitusmedicine.diseasePhosphoric Monoester HydrolasesEndocrinologyDiabetes Mellitus Type 2chemistryImmunologySettore MED/26 - NeurologiaGeriatrics and Gerontologymedicine.symptomMetabolic syndromeSignal TransductionRejuvenation Research
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Evidences of +896 A/G TLR4 Polymorphism as an Indicative of Prevalence of Complications in T2DM Patients

2014

T2DM is today considered as world-wide health problem, with complications responsible of an enhanced mortality and morbidity. Thus, new strategies for its prevention and therapy are necessary. For this reason, the research interest has focused its attention on TLR4 and its polymorphisms, particularly the rs4986790. However, no conclusive findings have been reported until now about the role of this polymorphism in development of T2DM and its complications, even if a recent meta-analysis showed its T2DM association in Caucasians. In this study, we sought to evaluate the weight of rs4986790 polymorphism in the risk of the major T2DM complications, including 367 T2DM patients complicated for th…

AdultMalemedicine.medical_specialtyGenotypeArticle SubjectT2DM TLR4 +896A/G SNP T2DM complicationsImmunologyPolymorphism Single NucleotideLower limbGene FrequencyDiabetes mellitusInternal medicineGenotypelcsh:PathologymedicineHumansSettore MED/05 - Patologia ClinicaGenetic Predisposition to DiseaseAllele frequencyAgedAged 80 and overSettore MED/04 - Patologia Generalebusiness.industryConfoundingTLR4 POLYMORPHISMCell BiologyMiddle Agedmedicine.diseaseSurgeryToll-Like Receptor 4Cumulative riskDiabetes Mellitus Type 2FemaleComplicationbusinessResearch Articlelcsh:RB1-214
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Obesity and Outcomes in COVID-19: When an Epidemic and Pandemic Collide.

2020

Obesity has reached epidemic proportions in the United States and in much of the westernized world, contributing to considerable morbidity. Several of these obesity-related morbidities are associated with greater risk for death with coronavirus disease 2019 (COVID-19). Severe acute respiratory syndrome coronavirus 2 penetrates human cells through direct binding with angiotensin-converting enzyme 2 receptors on the cell surface. Angiotensin-converting enzyme 2 expression in adipose tissue is higher than that in lung tissue, which means that adipose tissue may be vulnerable to COVID-19 infection. Obese patients also have worse outcomes with COVID-19 infection, including respiratory failure, n…

BMI body mass indexmedicine.medical_treatmentAdipose tissue030204 cardiovascular system & hematologyCHD coronary heart diseaseHF heart failureUS United States0302 clinical medicineRAAS renin-angiotensin-aldosterone systemPandemicMedicine030212 general & internal medicineCDC Centers for Disease Control and PreventionCOVID-19 coronavirus disease 2019TNF tumor necrosis factorHFpEF HF with preserved ejection fractionCV cardiovascularGeneral MedicinePrognosisICU intensive care unitPA physical activityMetS metabolic syndromePAH pulmonary arterial hypertensionCoronavirus Infectionsmedicine.medical_specialtyAF atrial fibrillationACE angiotensin-converting enzymePneumonia ViralCVD cardiovascular diseaseSARS-CoV-2 severe acute respiratory syndrome coronavirus 2ArticleSeverity03 medical and health sciencesBetacoronavirusInternal medicineIPF idiopathic pulmonary fibrosisHumansObesityMortalityHTN hypertension or hypertensivePandemicsMechanical ventilationAng II angiotensin IIbusiness.industrySARS-CoV-2CKD chronic kidney diseaseCOVID-19T2DM type 2 diabetes mellitusmedicine.diseaseAngiotensin IIObesityIL interleukinPneumoniaRespiratory failureMetabolic syndromebusinessSNS sympathetic nervousMayo Clinic proceedings
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EVOO's Effects on Incretin Production: Is There a Rationale for a Combination in T2DM Therapy?

2022

Type 2 diabetes mellitus (T2DM) is a serious public health concern as it is one of the most common chronic diseases worldwide due to social and economic developments that have led to unhealthy lifestyles, with a considerable impact both in terms of morbidity and mortality. The management of T2DM, before starting specific therapies, includes cornerstones such as healthy eating, regular exercise and weight loss. Strict adherence to the Mediterranean diet (MedDiet) has been related to an inverse association with the risk of T2DM onset, as well as an improvement in glycaemic control; in particular, thanks to the consumption of extra virgin olive oil (EVOO). Agonists of gut-derived glucagon-like…

Blood GlucoseDipeptidyl-Peptidase IV InhibitorsHypoglycemic Agent[SDV]Life Sciences [q-bio]Organic ChemistryEVOOT2DMGeneral MedicineIncretinIncretinsCatalysisComputer Science ApplicationsInorganic ChemistryDiabetes Mellitus Type 2Glucagon-Like Peptide 1Insulin SecretionHumansHypoglycemic AgentsMedDietPhysical and Theoretical ChemistryGLP-1Molecular BiologySpectroscopyHuman
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Prediction of type 2 diabetes mellitus based on nutrition data

2021

Abstract Numerous predictive models for the risk of type 2 diabetes mellitus (T2DM) exist, but a minority of them has implemented nutrition data so far, even though the significant effect of nutrition on the pathogenesis, prevention and management of T2DM has been established. Thus, in the present study, we aimed to build a predictive model for the risk of T2DM that incorporates nutrition data and calculates its predictive performance. We analysed cross-sectional data from 1591 individuals from the population-based Cooperative Health Research in the Region of Augsburg (KORA) FF4 study (2013–14) and used a bootstrap enhanced elastic net penalised multivariate regression method in order to bu…

Elastic net regularizationFood intakeMultivariate statistics24HFL 24-h food listEndocrinology Diabetes and MetabolismPopulation030209 endocrinology & metabolismType 2 diabetesLogistic regression03 medical and health sciences0302 clinical medicinePredictive Value of TestsRisk FactorsElastic net regressionPrediction modelGermanyStatisticsmedicineHumans030212 general & internal medicineeducationNutritionMathematicseducation.field_of_studyNutrition and DieteticsReceiver operating characteristicDietary Surveys and Nutritional EpidemiologyType 2 Diabetes MellitusType 2 diabetesT2DM type 2 diabetes mellitusmedicine.diseasePPV positive predictive valueDietROC receiver operating characteristicCross-Sectional StudiesNPV negative predictive valueDiabetes Mellitus Type 2ROC CurveKORA Cooperative Health Research in the Region of Augsburg24hfl 24-h Food List ; Elastic Net Regression ; Kora Cooperative Health Research In The Region Of Augsburg ; Npv Negative Predictive Value ; Nutrition ; Ppv Positive Predictive Value ; Prediction Model ; Roc Receiver Operating Characteristic ; T2dmResearch ArticleFood ScienceJournal of Nutritional Science
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Glycated Albumin for Glycemic Control in T2DM Population: A Multi-Dimensional Evaluation.

2021

Lucrezia Ferrario,1 Fabrizio Schettini,1 Angelo Avogaro,2 Chiara Bellia,3 Federico Bertuzzi,4 Graziella Bonetti,5 Antonio Ceriello,6 Marcello Ciaccio,3,7 Massimiliano Corsi Romanelli,8,9 Elena Dozio,9 Luca Falqui,10 Angela Girelli,11 Antonio Nicolucci,12 Gianluca Perseghin,13,14 Mario Plebani,15 Umberto Valentini,11 Martina Zaninotto,15 Silvana Castaldi,9,16 Emanuela Foglia1 1Centre for Health Economics, Social and Health Care Management, Università Carlo Cattaneo - LIUC, Castellanza, Italy; 2Department of Medicine, University-Hospital of Padova, Padova, Italy; 3Section of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologie…

GerontologyMedicine (General)economic evaluationtype 2 diabetes mellitusEconomics Econometrics and Finance (miscellaneous)PopulationT2DMRM1-950multidimensional approach03 medical and health sciencesR5-9200302 clinical medicineClinical pathwayQuality of lifeMedicine030212 general & internal medicineeducationMED/13 - ENDOCRINOLOGIAGlycemicOriginal Researcheducation.field_of_studyHealth economicsbusiness.industry030503 health policy & servicesHealth PolicyHealth technologyType 2 Diabetes MellitusHealth Technology AssessmentClinicoEconomics and Outcomes ResearchType 2 diabetes mellituEconomic evaluationglycated albuminTherapeutics. Pharmacology0305 other medical sciencebusinessClinicoEconomics and outcomes research : CEOR
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The relevant role of family history in predicting type 2 diabetes occurrence.

2019

On June 6, 2019, the Polish Archives of Internal Medicine published an interesting article by Szczerbiński et al,1 entitled “Efficacy of family history, genetic risk score, and physical activity in assessing the prevalence of type 2 diabetes.” This editorial is a commentary on this paper, intending to highlight, one more time, the importance of a positive family history (FH+) of type 2 diabetes (T2D) for estimating diabetes occurrence in the adult population as well as the importance of physical activity (PA) for maintaining optimal body composition and a low incidence rate of chronic disease.2 Since 2011, my research group has provided periodical pieces of evidence (2011, 2013, and 2014) a…

Gerontologybusiness.industryPhysical activityMEDLINEType 2 diabetesmedicine.diseaseFamily History T2DM Exercise Physiology Physical Activity Health PromotionHealth promotionDiabetes Mellitus Type 1Diabetes Mellitus Type 2Risk FactorsDiabetes mellitusInternal MedicinePrevalenceMedicineHumansExercise physiologyFamily historybusinessExercisePolish archives of internal medicine
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Lipidomic profiling identifies signatures of metabolic risk

2020

Background: Metabolic syndrome (MetS), the clustering of metabolic risk factors, is associated with cardiovascular disease risk. We sought to determine if dysregulation of the lipidome may contribute to metabolic risk factors. Methods: We measured 154 circulating lipid species in 658 participants from the Framingham Heart Study (FHS) using liquid chromatography-tandem mass spectrometry and tested for associations with obesity, dysglycemia, and dyslipidemia. Independent external validation was sought in three independent cohorts. Follow-up data from the FHS were used to test for lipid metabolites associated with longitudinal changes in metabolic risk factors. Results: Thirty-nine lipids were…

Male0301 basic medicineResearch paperdhSL dihydrosphingolipidBMI body mass indexlcsh:MedicineATHEROGENIC LIPOPROTEINSBioinformaticsFHS Framingham Heart StudyPC phosphatidylcholinePESA Progression of Early Subclinical Atherosclerosis0302 clinical medicineFramingham Heart StudyRisk FactorsSAFHS San Antonio Family Heart StudyLC-MS/MS liquid chromatography-tandem mass spectrometryMedicineLongitudinal StudiesMetabolic riskPLASMA SPHINGOLIPID METABOLISMPOPULATIONlcsh:R5-920education.field_of_studySPHINGOMYELINCE cholesteryl esterDysglycemiaGeneral MedicineMiddle AgedLipidomePS phosphatidylserineCardiovascular diseaseLipidsMetabolic syndrome3. Good healthCARDIOVASCULAR-DISEASE030220 oncology & carcinogenesisHEARTMetS metabolic syndromeFemaleDisease SusceptibilityLGPL lysoglycerophospholipidSL sphingolipidlcsh:Medicine (General)LPE lysophosphatidylethanolamineAdultFDR false discovery rateTAG triacylglycerolPopulationCer ceramideCVD cardiovascular diseasePE phosphatidylethanolamineDENSITY-LIPOPROTEINRisk AssessmentGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesAnimalsHumanseducationT2DM type II diabetes mellitusAgedLPC lysophosphatidylcholineSM sphingomyelinbusiness.industryCERAMIDElcsh:RHDL-C High density lipoprotein cholesterolBiomarkerLipid Metabolismmedicine.diseaseObesitySphingolipidCross-Sectional Studies030104 developmental biologyDyslipidemiaERF Erasmus Family StudyLipidomicsMetabolic syndromeINDUCED INSULIN-RESISTANCEbusinessDAG diacylglycerolBody mass indexBiomarkersDyslipidemiaMRM multiple reaction monitoringFASTING GLUCOSE
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