ISSN 1662-4009 (online)

ey0018.11-5 | New hope: Increased diagnostic yield for disease causing MC4R variants and pharmacological treatment options | ESPEYB18

11.5. Obesity treatment effect in danish children and adolescents carrying melanocortin-4 receptor mutations

C Trier , M Hollensted , TM Schnurr , MAV Lund , TRH Nielsen , G Rui , EA Andersson , M Svendstrup , DS Bille , AP Gjesing , CE Fonvig , C Frithioff-Bojsoe , M Balslev-Harder , S Quan , M Gamborg , O Pedersen , L Angquist , JC Holm , T Hansen

Int J Obes (Lond). 2021;45(1):66–76. doi: https://doi.org/10.1038/s41366-020-00673-6This study investigated the influence of MC4R variants on treatment effectiveness in a large cohort undergoing an outpatient treatment program. Carriers of MC4R loss-of-function (LoF) variants showed a lack of improvement in BMI, in contrast to non LoF carriers.As we learn th...

ey0019.15-4 | Diabetes | ESPEYB19

15.4. Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study

A Wesolowska-Andersen , CA Brorsson , R Bizzotto , A Mari , A Tura , R Koivula , A Mahajan , A Vinuela , JF Tajes , S Sharma , M Haid , C Prehn , A Artati , MG Hong , PB Musholt , A Kurbasic , F De Masi , K Tsirigos , HK Pedersen , V Gudmundsdottir , CE Thomas , K Banasik , C Jennison , A Jones , G Kennedy , J Bell , L Thomas , G Frost , H Thomsen , K Allin , TH Hansen , H Vestergaard , T Hansen , F Rutters , P Elders , L t'Hart , A Bonnefond , M Canouil , S Brage , T Kokkola , A Heggie , D McEvoy , A Hattersley , T McDonald , H Teare , M Ridderstrale , M Walker , I Forgie , GN Giordano , P Froguel , I Pavo , H Ruetten , O Pedersen , E Dermitzakis , PW Franks , JM Schwenk , J Adamski , E Pearson , MI McCarthy , S Brunak , Consortium ID

Cell Rep Med. 2022;3(1):100477. doi: 10.1016/j.xcrm.2021.100477. PubMed ID: 35106505Brief summary: To explore clinical heterogeneity, this study analyzed baseline visit data on 726 adults with newly diagnosed Type 2 diabetes (T2D) adults and identified in 4 distinct profiles (clusters of phenotypes), which predicted differences in subsequent disease progression and anti-diabetic treatments...