Cargando…

Patient stratification for determining optimal second and third line therapy for type 2 diabetes: the TriMaster study

Precision medicine aims to treat an individual based on their clinical characteristics. A differential drug response, critical to using these features for therapy selection, has never been examined directly in type 2 diabetes. We tested two hypotheses: 1) individuals with BMI>30kg/m(2), compared...

Descripción completa

Detalles Bibliográficos
Autores principales: Shields, Beverley M, Dennis, John M, Angwin, Catherine D, Warren, Fiona, Henley, William E, Farmer, Andrew J, Sattar, Naveed, Holman, Rury R, Jones, Angus G, Pearson, Ewan R, Hattersley, Andrew T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614216/
https://www.ncbi.nlm.nih.gov/pubmed/36477733
http://dx.doi.org/10.1038/s41591-022-02120-7
_version_ 1783605579957141504
author Shields, Beverley M
Dennis, John M
Angwin, Catherine D
Warren, Fiona
Henley, William E
Farmer, Andrew J
Sattar, Naveed
Holman, Rury R
Jones, Angus G
Pearson, Ewan R
Hattersley, Andrew T
author_facet Shields, Beverley M
Dennis, John M
Angwin, Catherine D
Warren, Fiona
Henley, William E
Farmer, Andrew J
Sattar, Naveed
Holman, Rury R
Jones, Angus G
Pearson, Ewan R
Hattersley, Andrew T
author_sort Shields, Beverley M
collection PubMed
description Precision medicine aims to treat an individual based on their clinical characteristics. A differential drug response, critical to using these features for therapy selection, has never been examined directly in type 2 diabetes. We tested two hypotheses: 1) individuals with BMI>30kg/m(2), compared with BMI ≤30kg/m(2), have greater glucose lowering with thiazolidinediones than DPP4-inhibitors, and 2) individuals with eGFR 60-90mls/min/1.73m(2) compared with eGFR >90mls/min/1.73m(2) have greater glucose lowering with DPP4-inhibitors than SGLT2-inhibitors. The primary endpoint for both hypotheses was the achieved HbA1c difference between strata for the two drugs. 525 people with type 2 diabetes participated in a UK based randomised, double-blind, three-way crossover trial of 16 weeks treatment with each of sitagliptin 100mg/day, canagliflozin 100mg/day and pioglitazone 30mg/day added to metformin alone or metformin plus sulfonylurea. Overall, the achieved HbA1c was similar for the three drugs pioglitazone 59.6 mmol/mol, sitagliptin 60.0 mmol/mol, canagliflozin 60.6 mmol/mol (p=0.2). Participants with BMI>30kg/m(2), compared with BMI≤30kg/m(2), had a 2.88 mmol/mol (95% CI 0.98,4.79) lower HbA1c on pioglitazone than on sitagliptin (n=356, P=0.003). Participants with eGFR 60-90mls/min/1.73m(2), compared with eGFR >90mls/min/1.73m(2), had a 2.90 mmol/mol (95% CI 1.19,4.61) lower HbA1c on sitagliptin than on canagliflozin (n=342, P=0.001). There were 2201 adverse events reported, and 447/525 (85%) randomised participants experienced an adverse event on at least one of the study drugs. In this precision medicine trial in type 2 diabetes, our findings support the use of simple routinely available clinical measures to identify the drug class most likely to deliver the greatest glycaemic reduction for a given patient. ClinicalTrials.gov registration: NCT02653209; ISRCTN registration12039221..
format Online
Article
Text
id pubmed-7614216
institution National Center for Biotechnology Information
language English
publishDate 2023
record_format MEDLINE/PubMed
spelling pubmed-76142162023-02-22 Patient stratification for determining optimal second and third line therapy for type 2 diabetes: the TriMaster study Shields, Beverley M Dennis, John M Angwin, Catherine D Warren, Fiona Henley, William E Farmer, Andrew J Sattar, Naveed Holman, Rury R Jones, Angus G Pearson, Ewan R Hattersley, Andrew T Nat Med Article Precision medicine aims to treat an individual based on their clinical characteristics. A differential drug response, critical to using these features for therapy selection, has never been examined directly in type 2 diabetes. We tested two hypotheses: 1) individuals with BMI>30kg/m(2), compared with BMI ≤30kg/m(2), have greater glucose lowering with thiazolidinediones than DPP4-inhibitors, and 2) individuals with eGFR 60-90mls/min/1.73m(2) compared with eGFR >90mls/min/1.73m(2) have greater glucose lowering with DPP4-inhibitors than SGLT2-inhibitors. The primary endpoint for both hypotheses was the achieved HbA1c difference between strata for the two drugs. 525 people with type 2 diabetes participated in a UK based randomised, double-blind, three-way crossover trial of 16 weeks treatment with each of sitagliptin 100mg/day, canagliflozin 100mg/day and pioglitazone 30mg/day added to metformin alone or metformin plus sulfonylurea. Overall, the achieved HbA1c was similar for the three drugs pioglitazone 59.6 mmol/mol, sitagliptin 60.0 mmol/mol, canagliflozin 60.6 mmol/mol (p=0.2). Participants with BMI>30kg/m(2), compared with BMI≤30kg/m(2), had a 2.88 mmol/mol (95% CI 0.98,4.79) lower HbA1c on pioglitazone than on sitagliptin (n=356, P=0.003). Participants with eGFR 60-90mls/min/1.73m(2), compared with eGFR >90mls/min/1.73m(2), had a 2.90 mmol/mol (95% CI 1.19,4.61) lower HbA1c on sitagliptin than on canagliflozin (n=342, P=0.001). There were 2201 adverse events reported, and 447/525 (85%) randomised participants experienced an adverse event on at least one of the study drugs. In this precision medicine trial in type 2 diabetes, our findings support the use of simple routinely available clinical measures to identify the drug class most likely to deliver the greatest glycaemic reduction for a given patient. ClinicalTrials.gov registration: NCT02653209; ISRCTN registration12039221.. 2023-02 2022-12-07 /pmc/articles/PMC7614216/ /pubmed/36477733 http://dx.doi.org/10.1038/s41591-022-02120-7 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license.
spellingShingle Article
Shields, Beverley M
Dennis, John M
Angwin, Catherine D
Warren, Fiona
Henley, William E
Farmer, Andrew J
Sattar, Naveed
Holman, Rury R
Jones, Angus G
Pearson, Ewan R
Hattersley, Andrew T
Patient stratification for determining optimal second and third line therapy for type 2 diabetes: the TriMaster study
title Patient stratification for determining optimal second and third line therapy for type 2 diabetes: the TriMaster study
title_full Patient stratification for determining optimal second and third line therapy for type 2 diabetes: the TriMaster study
title_fullStr Patient stratification for determining optimal second and third line therapy for type 2 diabetes: the TriMaster study
title_full_unstemmed Patient stratification for determining optimal second and third line therapy for type 2 diabetes: the TriMaster study
title_short Patient stratification for determining optimal second and third line therapy for type 2 diabetes: the TriMaster study
title_sort patient stratification for determining optimal second and third line therapy for type 2 diabetes: the trimaster study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614216/
https://www.ncbi.nlm.nih.gov/pubmed/36477733
http://dx.doi.org/10.1038/s41591-022-02120-7
work_keys_str_mv AT shieldsbeverleym patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy
AT dennisjohnm patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy
AT angwincatherined patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy
AT warrenfiona patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy
AT henleywilliame patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy
AT farmerandrewj patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy
AT sattarnaveed patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy
AT holmanruryr patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy
AT jonesangusg patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy
AT pearsonewanr patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy
AT hattersleyandrewt patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy
AT patientstratificationfordeterminingoptimalsecondandthirdlinetherapyfortype2diabetesthetrimasterstudy