Patient stratification for determining optimal second-line 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. In this study, we tested two hypotheses: (1) individuals with body mass i...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature medicine 2023-02, Vol.29 (2), p.376-383
Hauptverfasser: 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.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 383
container_issue 2
container_start_page 376
container_title Nature medicine
container_volume 29
creator 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.
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. In this study, we tested two hypotheses: (1) individuals with body mass index (BMI) > 30 kg/m 2 , compared to BMI ≤ 30 kg/m 2 , have greater glucose lowering with thiazolidinediones than with DPP4 inhibitors, and (2) individuals with estimated glomerular filtration rate (eGFR) 60–90 ml/min/1.73 m 2 , compared to eGFR >90 ml/min/1.73 m 2 , have greater glucose lowering with DPP4 inhibitors than with SGLT2 inhibitors. The primary endpoint for both hypotheses was the achieved HbA1c difference between strata for the two drugs. In total, 525 people with type 2 diabetes participated in this UK-based randomized, double-blind, three-way crossover trial of 16 weeks of treatment with each of sitagliptin 100 mg once daily, canagliflozin 100 mg once daily and pioglitazone 30 mg once daily 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 and canagliflozin 60.6 mmol/mol ( P  = 0.2). Participants with BMI > 30 kg/m 2 , compared to BMI ≤ 30 kg/m 2 , had a 2.88 mmol/mol (95% confidence interval (CI): 0.98, 4.79) lower HbA1c on pioglitazone than on sitagliptin ( n  = 356, P  = 0.003). Participants with eGFR 60–90 ml/min/1.73 m 2 , compared to eGFR >90 ml/min/1.73 m 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 2,201 adverse events reported, and 447/525 (85%) randomized 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 glycemic reduction for a given patient. (ClinicalTrials.gov registration: NCT02653209 ; ISRCTN registration: 12039221 .) Using a randomized three-way crossover design and stratification approaches based on obesity and renal function in people with type 2 diabetes, the TriMaster study demonstrated that patients with obesity were more likely to have greater glycemic control with pioglitazone (a thiazolidinedione) than with sitagliptin (a DPP4 inhibitor) and that patients with eGFR 60–90 ml/min/1.73 m 2 were more likely
doi_str_mv 10.1038/s41591-022-02120-7
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2753317024</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2778137883</sourcerecordid><originalsourceid>FETCH-LOGICAL-c419t-87077fde311397394099f61bbe7112389778352538c9b7753347ca4a3d1adaa43</originalsourceid><addsrcrecordid>eNp9kcFPHCEUxkmjqdb2H-jBkHjpZSrwZvZBb83GVhONHmzSG2EGRjGzzAjMYf3rZd2tJj14AB7h932PvI-Qr5x95wzkaap5o3jFhCiLC1bhB3LIm3pRcWR_90rNUFZSNYsD8imlB8YYsEZ9JAewqBER4JA83ZjsXcg05Viq3ndlHwPtx0ityy6ufPDhjo5T9isz0OS6Mdhq8MFREyzN9z7urvneRTOtX6R5PTkqqPWmLSbpx-aR3kZ_ZVLxLM1mu_5M9nszJPdldx6RP7_Obpfn1eX174vlz8uqq7nKlUSG2FsHnINCUDVTql_wtnXIuQCpECU0ogHZqRaxAaixM7UBy401poYj8m3rO8XxcXYp65VPnRsGE9w4Jy02mjIxsUFP_kMfxjmG8rtCoeSAUkKhxJbq4phSdL2eYhlOXGvO9CYZvU1Gl2T0SzIai-h4Zz23K2dfJf-iKABsgVSewp2Lb73fsX0G5YiY8w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2778137883</pqid></control><display><type>article</type><title>Patient stratification for determining optimal second-line and third-line therapy for type 2 diabetes: the TriMaster study</title><source>MEDLINE</source><source>SpringerLink Journals</source><source>Nature Journals Online</source><creator>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.</creator><creatorcontrib>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. ; TriMaster Study group</creatorcontrib><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. In this study, we tested two hypotheses: (1) individuals with body mass index (BMI) &gt; 30 kg/m 2 , compared to BMI ≤ 30 kg/m 2 , have greater glucose lowering with thiazolidinediones than with DPP4 inhibitors, and (2) individuals with estimated glomerular filtration rate (eGFR) 60–90 ml/min/1.73 m 2 , compared to eGFR &gt;90 ml/min/1.73 m 2 , have greater glucose lowering with DPP4 inhibitors than with SGLT2 inhibitors. The primary endpoint for both hypotheses was the achieved HbA1c difference between strata for the two drugs. In total, 525 people with type 2 diabetes participated in this UK-based randomized, double-blind, three-way crossover trial of 16 weeks of treatment with each of sitagliptin 100 mg once daily, canagliflozin 100 mg once daily and pioglitazone 30 mg once daily 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 and canagliflozin 60.6 mmol/mol ( P  = 0.2). Participants with BMI &gt; 30 kg/m 2 , compared to BMI ≤ 30 kg/m 2 , had a 2.88 mmol/mol (95% confidence interval (CI): 0.98, 4.79) lower HbA1c on pioglitazone than on sitagliptin ( n  = 356, P  = 0.003). Participants with eGFR 60–90 ml/min/1.73 m 2 , compared to eGFR &gt;90 ml/min/1.73 m 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 2,201 adverse events reported, and 447/525 (85%) randomized 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 glycemic reduction for a given patient. (ClinicalTrials.gov registration: NCT02653209 ; ISRCTN registration: 12039221 .) Using a randomized three-way crossover design and stratification approaches based on obesity and renal function in people with type 2 diabetes, the TriMaster study demonstrated that patients with obesity were more likely to have greater glycemic control with pioglitazone (a thiazolidinedione) than with sitagliptin (a DPP4 inhibitor) and that patients with eGFR 60–90 ml/min/1.73 m 2 were more likely to achieve lower HbA1c levels on sitagliptin than on canagliflozin (an SGLT2 inhibitor).</description><identifier>ISSN: 1078-8956</identifier><identifier>EISSN: 1546-170X</identifier><identifier>DOI: 10.1038/s41591-022-02120-7</identifier><identifier>PMID: 36477733</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>692/163/2743/137/773 ; 692/308/2779/777 ; Adverse events ; Biomedical and Life Sciences ; Biomedicine ; Body mass index ; Body size ; Canagliflozin - therapeutic use ; Cancer Research ; Clinical trials ; Diabetes ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - drug therapy ; Dipeptidyl-Peptidase IV Inhibitors - therapeutic use ; Double-Blind Method ; Drug Therapy, Combination ; Drugs ; Epidermal growth factor receptors ; Glomerular filtration rate ; Glucose ; Glycated Hemoglobin ; Humans ; Hypoglycemic Agents ; Hypotheses ; Infectious Diseases ; Inhibitors ; Metabolic Diseases ; Metformin ; Molecular Medicine ; Neurosciences ; Obesity ; Patients ; Pioglitazone ; Pioglitazone - therapeutic use ; Precision medicine ; Renal function ; Sitagliptin Phosphate - adverse effects ; Sulfonylurea ; Thiazolidinediones ; Treatment Outcome</subject><ispartof>Nature medicine, 2023-02, Vol.29 (2), p.376-383</ispartof><rights>The Author(s) under exclusive license to Springer Nature America, Inc. 2022 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2022. The Author(s) under exclusive license to Springer Nature America, Inc.</rights><rights>Copyright Nature Publishing Group Feb 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-87077fde311397394099f61bbe7112389778352538c9b7753347ca4a3d1adaa43</citedby><cites>FETCH-LOGICAL-c419t-87077fde311397394099f61bbe7112389778352538c9b7753347ca4a3d1adaa43</cites><orcidid>0000-0002-6170-4402 ; 0000-0002-1256-874X ; 0000-0001-5620-473X ; 0000-0002-0883-7599 ; 0000-0001-9237-8585 ; 0000-0002-1604-2593 ; 0000-0002-7171-732X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41591-022-02120-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41591-022-02120-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36477733$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shields, Beverley M.</creatorcontrib><creatorcontrib>Dennis, John M.</creatorcontrib><creatorcontrib>Angwin, Catherine D.</creatorcontrib><creatorcontrib>Warren, Fiona</creatorcontrib><creatorcontrib>Henley, William E.</creatorcontrib><creatorcontrib>Farmer, Andrew J.</creatorcontrib><creatorcontrib>Sattar, Naveed</creatorcontrib><creatorcontrib>Holman, Rury R.</creatorcontrib><creatorcontrib>Jones, Angus G.</creatorcontrib><creatorcontrib>Pearson, Ewan R.</creatorcontrib><creatorcontrib>Hattersley, Andrew T.</creatorcontrib><creatorcontrib>TriMaster Study group</creatorcontrib><title>Patient stratification for determining optimal second-line and third-line therapy for type 2 diabetes: the TriMaster study</title><title>Nature medicine</title><addtitle>Nat Med</addtitle><addtitle>Nat Med</addtitle><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. In this study, we tested two hypotheses: (1) individuals with body mass index (BMI) &gt; 30 kg/m 2 , compared to BMI ≤ 30 kg/m 2 , have greater glucose lowering with thiazolidinediones than with DPP4 inhibitors, and (2) individuals with estimated glomerular filtration rate (eGFR) 60–90 ml/min/1.73 m 2 , compared to eGFR &gt;90 ml/min/1.73 m 2 , have greater glucose lowering with DPP4 inhibitors than with SGLT2 inhibitors. The primary endpoint for both hypotheses was the achieved HbA1c difference between strata for the two drugs. In total, 525 people with type 2 diabetes participated in this UK-based randomized, double-blind, three-way crossover trial of 16 weeks of treatment with each of sitagliptin 100 mg once daily, canagliflozin 100 mg once daily and pioglitazone 30 mg once daily 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 and canagliflozin 60.6 mmol/mol ( P  = 0.2). Participants with BMI &gt; 30 kg/m 2 , compared to BMI ≤ 30 kg/m 2 , had a 2.88 mmol/mol (95% confidence interval (CI): 0.98, 4.79) lower HbA1c on pioglitazone than on sitagliptin ( n  = 356, P  = 0.003). Participants with eGFR 60–90 ml/min/1.73 m 2 , compared to eGFR &gt;90 ml/min/1.73 m 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 2,201 adverse events reported, and 447/525 (85%) randomized 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 glycemic reduction for a given patient. (ClinicalTrials.gov registration: NCT02653209 ; ISRCTN registration: 12039221 .) Using a randomized three-way crossover design and stratification approaches based on obesity and renal function in people with type 2 diabetes, the TriMaster study demonstrated that patients with obesity were more likely to have greater glycemic control with pioglitazone (a thiazolidinedione) than with sitagliptin (a DPP4 inhibitor) and that patients with eGFR 60–90 ml/min/1.73 m 2 were more likely to achieve lower HbA1c levels on sitagliptin than on canagliflozin (an SGLT2 inhibitor).</description><subject>692/163/2743/137/773</subject><subject>692/308/2779/777</subject><subject>Adverse events</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Canagliflozin - therapeutic use</subject><subject>Cancer Research</subject><subject>Clinical trials</subject><subject>Diabetes</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - drug therapy</subject><subject>Dipeptidyl-Peptidase IV Inhibitors - therapeutic use</subject><subject>Double-Blind Method</subject><subject>Drug Therapy, Combination</subject><subject>Drugs</subject><subject>Epidermal growth factor receptors</subject><subject>Glomerular filtration rate</subject><subject>Glucose</subject><subject>Glycated Hemoglobin</subject><subject>Humans</subject><subject>Hypoglycemic Agents</subject><subject>Hypotheses</subject><subject>Infectious Diseases</subject><subject>Inhibitors</subject><subject>Metabolic Diseases</subject><subject>Metformin</subject><subject>Molecular Medicine</subject><subject>Neurosciences</subject><subject>Obesity</subject><subject>Patients</subject><subject>Pioglitazone</subject><subject>Pioglitazone - therapeutic use</subject><subject>Precision medicine</subject><subject>Renal function</subject><subject>Sitagliptin Phosphate - adverse effects</subject><subject>Sulfonylurea</subject><subject>Thiazolidinediones</subject><subject>Treatment Outcome</subject><issn>1078-8956</issn><issn>1546-170X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kcFPHCEUxkmjqdb2H-jBkHjpZSrwZvZBb83GVhONHmzSG2EGRjGzzAjMYf3rZd2tJj14AB7h932PvI-Qr5x95wzkaap5o3jFhCiLC1bhB3LIm3pRcWR_90rNUFZSNYsD8imlB8YYsEZ9JAewqBER4JA83ZjsXcg05Viq3ndlHwPtx0ityy6ufPDhjo5T9isz0OS6Mdhq8MFREyzN9z7urvneRTOtX6R5PTkqqPWmLSbpx-aR3kZ_ZVLxLM1mu_5M9nszJPdldx6RP7_Obpfn1eX174vlz8uqq7nKlUSG2FsHnINCUDVTql_wtnXIuQCpECU0ogHZqRaxAaixM7UBy401poYj8m3rO8XxcXYp65VPnRsGE9w4Jy02mjIxsUFP_kMfxjmG8rtCoeSAUkKhxJbq4phSdL2eYhlOXGvO9CYZvU1Gl2T0SzIai-h4Zz23K2dfJf-iKABsgVSewp2Lb73fsX0G5YiY8w</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Shields, Beverley M.</creator><creator>Dennis, John M.</creator><creator>Angwin, Catherine D.</creator><creator>Warren, Fiona</creator><creator>Henley, William E.</creator><creator>Farmer, Andrew J.</creator><creator>Sattar, Naveed</creator><creator>Holman, Rury R.</creator><creator>Jones, Angus G.</creator><creator>Pearson, Ewan R.</creator><creator>Hattersley, Andrew T.</creator><general>Nature Publishing Group US</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6170-4402</orcidid><orcidid>https://orcid.org/0000-0002-1256-874X</orcidid><orcidid>https://orcid.org/0000-0001-5620-473X</orcidid><orcidid>https://orcid.org/0000-0002-0883-7599</orcidid><orcidid>https://orcid.org/0000-0001-9237-8585</orcidid><orcidid>https://orcid.org/0000-0002-1604-2593</orcidid><orcidid>https://orcid.org/0000-0002-7171-732X</orcidid></search><sort><creationdate>20230201</creationdate><title>Patient stratification for determining optimal second-line and third-line therapy for type 2 diabetes: the TriMaster study</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-87077fde311397394099f61bbe7112389778352538c9b7753347ca4a3d1adaa43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>692/163/2743/137/773</topic><topic>692/308/2779/777</topic><topic>Adverse events</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Canagliflozin - therapeutic use</topic><topic>Cancer Research</topic><topic>Clinical trials</topic><topic>Diabetes</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - drug therapy</topic><topic>Dipeptidyl-Peptidase IV Inhibitors - therapeutic use</topic><topic>Double-Blind Method</topic><topic>Drug Therapy, Combination</topic><topic>Drugs</topic><topic>Epidermal growth factor receptors</topic><topic>Glomerular filtration rate</topic><topic>Glucose</topic><topic>Glycated Hemoglobin</topic><topic>Humans</topic><topic>Hypoglycemic Agents</topic><topic>Hypotheses</topic><topic>Infectious Diseases</topic><topic>Inhibitors</topic><topic>Metabolic Diseases</topic><topic>Metformin</topic><topic>Molecular Medicine</topic><topic>Neurosciences</topic><topic>Obesity</topic><topic>Patients</topic><topic>Pioglitazone</topic><topic>Pioglitazone - therapeutic use</topic><topic>Precision medicine</topic><topic>Renal function</topic><topic>Sitagliptin Phosphate - adverse effects</topic><topic>Sulfonylurea</topic><topic>Thiazolidinediones</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shields, Beverley M.</creatorcontrib><creatorcontrib>Dennis, John M.</creatorcontrib><creatorcontrib>Angwin, Catherine D.</creatorcontrib><creatorcontrib>Warren, Fiona</creatorcontrib><creatorcontrib>Henley, William E.</creatorcontrib><creatorcontrib>Farmer, Andrew J.</creatorcontrib><creatorcontrib>Sattar, Naveed</creatorcontrib><creatorcontrib>Holman, Rury R.</creatorcontrib><creatorcontrib>Jones, Angus G.</creatorcontrib><creatorcontrib>Pearson, Ewan R.</creatorcontrib><creatorcontrib>Hattersley, Andrew T.</creatorcontrib><creatorcontrib>TriMaster Study group</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Nature medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shields, Beverley M.</au><au>Dennis, John M.</au><au>Angwin, Catherine D.</au><au>Warren, Fiona</au><au>Henley, William E.</au><au>Farmer, Andrew J.</au><au>Sattar, Naveed</au><au>Holman, Rury R.</au><au>Jones, Angus G.</au><au>Pearson, Ewan R.</au><au>Hattersley, Andrew T.</au><aucorp>TriMaster Study group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Patient stratification for determining optimal second-line and third-line therapy for type 2 diabetes: the TriMaster study</atitle><jtitle>Nature medicine</jtitle><stitle>Nat Med</stitle><addtitle>Nat Med</addtitle><date>2023-02-01</date><risdate>2023</risdate><volume>29</volume><issue>2</issue><spage>376</spage><epage>383</epage><pages>376-383</pages><issn>1078-8956</issn><eissn>1546-170X</eissn><abstract>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. In this study, we tested two hypotheses: (1) individuals with body mass index (BMI) &gt; 30 kg/m 2 , compared to BMI ≤ 30 kg/m 2 , have greater glucose lowering with thiazolidinediones than with DPP4 inhibitors, and (2) individuals with estimated glomerular filtration rate (eGFR) 60–90 ml/min/1.73 m 2 , compared to eGFR &gt;90 ml/min/1.73 m 2 , have greater glucose lowering with DPP4 inhibitors than with SGLT2 inhibitors. The primary endpoint for both hypotheses was the achieved HbA1c difference between strata for the two drugs. In total, 525 people with type 2 diabetes participated in this UK-based randomized, double-blind, three-way crossover trial of 16 weeks of treatment with each of sitagliptin 100 mg once daily, canagliflozin 100 mg once daily and pioglitazone 30 mg once daily 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 and canagliflozin 60.6 mmol/mol ( P  = 0.2). Participants with BMI &gt; 30 kg/m 2 , compared to BMI ≤ 30 kg/m 2 , had a 2.88 mmol/mol (95% confidence interval (CI): 0.98, 4.79) lower HbA1c on pioglitazone than on sitagliptin ( n  = 356, P  = 0.003). Participants with eGFR 60–90 ml/min/1.73 m 2 , compared to eGFR &gt;90 ml/min/1.73 m 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 2,201 adverse events reported, and 447/525 (85%) randomized 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 glycemic reduction for a given patient. (ClinicalTrials.gov registration: NCT02653209 ; ISRCTN registration: 12039221 .) Using a randomized three-way crossover design and stratification approaches based on obesity and renal function in people with type 2 diabetes, the TriMaster study demonstrated that patients with obesity were more likely to have greater glycemic control with pioglitazone (a thiazolidinedione) than with sitagliptin (a DPP4 inhibitor) and that patients with eGFR 60–90 ml/min/1.73 m 2 were more likely to achieve lower HbA1c levels on sitagliptin than on canagliflozin (an SGLT2 inhibitor).</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>36477733</pmid><doi>10.1038/s41591-022-02120-7</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-6170-4402</orcidid><orcidid>https://orcid.org/0000-0002-1256-874X</orcidid><orcidid>https://orcid.org/0000-0001-5620-473X</orcidid><orcidid>https://orcid.org/0000-0002-0883-7599</orcidid><orcidid>https://orcid.org/0000-0001-9237-8585</orcidid><orcidid>https://orcid.org/0000-0002-1604-2593</orcidid><orcidid>https://orcid.org/0000-0002-7171-732X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1078-8956
ispartof Nature medicine, 2023-02, Vol.29 (2), p.376-383
issn 1078-8956
1546-170X
language eng
recordid cdi_proquest_miscellaneous_2753317024
source MEDLINE; SpringerLink Journals; Nature Journals Online
subjects 692/163/2743/137/773
692/308/2779/777
Adverse events
Biomedical and Life Sciences
Biomedicine
Body mass index
Body size
Canagliflozin - therapeutic use
Cancer Research
Clinical trials
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - drug therapy
Dipeptidyl-Peptidase IV Inhibitors - therapeutic use
Double-Blind Method
Drug Therapy, Combination
Drugs
Epidermal growth factor receptors
Glomerular filtration rate
Glucose
Glycated Hemoglobin
Humans
Hypoglycemic Agents
Hypotheses
Infectious Diseases
Inhibitors
Metabolic Diseases
Metformin
Molecular Medicine
Neurosciences
Obesity
Patients
Pioglitazone
Pioglitazone - therapeutic use
Precision medicine
Renal function
Sitagliptin Phosphate - adverse effects
Sulfonylurea
Thiazolidinediones
Treatment Outcome
title Patient stratification for determining optimal second-line and third-line therapy for type 2 diabetes: the TriMaster study
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T13%3A15%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Patient%20stratification%20for%20determining%20optimal%20second-line%20and%20third-line%20therapy%20for%20type%202%20diabetes:%20the%20TriMaster%20study&rft.jtitle=Nature%20medicine&rft.au=Shields,%20Beverley%20M.&rft.aucorp=TriMaster%20Study%20group&rft.date=2023-02-01&rft.volume=29&rft.issue=2&rft.spage=376&rft.epage=383&rft.pages=376-383&rft.issn=1078-8956&rft.eissn=1546-170X&rft_id=info:doi/10.1038/s41591-022-02120-7&rft_dat=%3Cproquest_cross%3E2778137883%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2778137883&rft_id=info:pmid/36477733&rfr_iscdi=true