{"entity": "researcher", "timestamp": "2026-09-25T05:38:21.387Z", "family": "Bhatt", "given": "Deepak L", "initials": "DL", "orcid": "0000-0002-1278-6245", "affiliations": ["Mount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/09d1e22054d04236888e44b8b41dd2b1.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/09d1e22054d04236888e44b8b41dd2b1"}}, "publications": [{"entity": "publication", "iuid": "df27115d57a64abc8455d357325d784c", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/df27115d57a64abc8455d357325d784c.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/df27115d57a64abc8455d357325d784c"}}, "title": "Common genetic variants near SLC2A2 and glycemic response to glimepiride in the GRADE comparative effectiveness clinical trial.", "authors": [{"family": "Li", "given": "Josephine H", "initials": "JH", "orcid": "0000-0003-2314-0914", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/088795c9a08f4c7695b81a209b739802.json"}}, {"family": "Szczerbinski", "given": "Lukasz", "initials": "L", "orcid": "0000-0002-6201-0605", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/82b692823ae54bbfba619c32d87f265d.json"}}, {"family": "Tripputi", "given": "Mark", "initials": "M", "orcid": "0000-0002-5510-7310", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/24d514a70ba747408d17f00809099e2e.json"}}, {"family": "Liu", "given": "Haiyin", "initials": "H"}, {"family": "Nam", "given": "Stella", "initials": "S", "orcid": "0000-0002-9049-2680", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/ce0251684efb4a219f28f52042152652.json"}}, {"family": "Mujica", "given": "Endrina", "initials": "E", "orcid": "0000-0003-1348-8765", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/75f5d6f3701d4a8f883b6ee8180d5b25.json"}}, {"family": "Emmanouilidou", "given": "Anastasia", "initials": "A", "orcid": "0000-0003-1512-5634", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/93e7fafcfe1842e4ad7e04a9966b04f6.json"}}, {"family": "Wangden", "given": "Thinley Yidzin", "initials": "TY", "orcid": "0009-0002-9916-6360", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/e3b2c2b0b42347268853e824b3794788.json"}}, {"family": "Citko-Rojewska", "given": "Anna", "initials": "A", "orcid": "0000-0003-3126-7093", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b98f7cb9858944cf8a7ee85ca83300b7.json"}}, {"family": "Konopka", "given": "Paulina", "initials": "P", "orcid": "0000-0003-3568-8530", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/c2e58b3d3c8247b08e7faa6705bcad7a.json"}}, {"family": "Czajkowski", "given": "Marcin", "initials": "M", "orcid": "0000-0002-3967-1819", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/cec120ba1cae4cbaa97849bed6bb3da5.json"}}, {"family": "Huerta-Chagoya", "given": "Alicia", "initials": "A", "orcid": "0000-0001-6218-3904", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/1282817aaac54b1da845392b7bd58a16.json"}}, {"family": "Vora", "given": "Maheak", "initials": "M", "orcid": "0000-0002-3248-9547", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/7f93c37513c346d9b95f192f8080dce7.json"}}, {"family": "Leong", "given": "Aaron", "initials": "A"}, {"family": "Meigs", "given": "James B", "initials": "JB", "orcid": "0000-0002-2439-2657", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/c2d2678807b544abb0cc247e130614b6.json"}}, {"family": "Ng", "given": "Maggie Y", "initials": "MY"}, {"family": "Loos", "given": "Ruth J F", "initials": "RJF", "orcid": "0000-0002-8532-5087", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/179eb6511eba4d33b633599c5652e344.json"}}, {"family": "Pigeyre", "given": "Marie", "initials": "M", "orcid": "0000-0003-2984-8366", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/34e4d84508324aa9a79356962af41ac4.json"}}, {"family": "Gerstein", "given": "Hertzel C", "initials": "HC", "orcid": "0000-0001-8072-2836", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/12bd5c43c2de414093dfbd3b14a593f0.json"}}, {"family": "Moura", "given": "Filipe A", "initials": "FA", "orcid": "0000-0001-8017-1675", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/c9c339fb03b942f9b69df08a3fa05317.json"}}, {"family": "Lai", "given": "Yi-Pin", "initials": "YP", "orcid": "0000-0002-6550-8329", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/7764d1ee312b42ab85038b4e95f2ee54.json"}}, {"family": "Bhatt", "given": "Deepak L", "initials": "DL", "orcid": "0000-0002-1278-6245", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/09d1e22054d04236888e44b8b41dd2b1.json"}}, {"family": "Marston", "given": "Nicholas A", "initials": "NA", "orcid": "0000-0001-6164-4617", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/89a8b4146615443da4ec58d21add95be.json"}}, {"family": "Ruff", "given": "Christian T", "initials": "CT"}, {"family": "Sabatine", "given": "Marc S", "initials": "MS", "orcid": "0000-0002-0691-3359", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/82a95b865979487494e2ed162560f936.json"}}, {"family": "Dawed", "given": "Adam Y", "initials": "AY"}, {"family": "Pearson", "given": "Ewan R", "initials": "ER", "orcid": "0000-0001-9237-8585", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/e27e9e47f1cc4a969268eb5a65b8045b.json"}}, {"family": "Satin", "given": "Leslie S", "initials": "LS", "orcid": "0000-0003-1355-8647", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/63a36d8403184889b1c86660df7c1153.json"}}, {"family": "den Hoed", "given": "Marcel", "initials": "M", "orcid": "0000-0001-8081-428X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/1d3e34c06cff4446ad703cde901c5033.json"}}, {"family": "Kretowski", "given": "Adam", "initials": "A", "orcid": "0000-0002-4522-4978", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/262c99ab4ca5433ca26a746aae3ff432.json"}}, {"family": "Kahn", "given": "Steven E", "initials": "SE", "orcid": "0000-0001-7307-9002", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/67767780e8ac4757808ccee52b2f8427.json"}}, {"family": "Younes", "given": "Naji", "initials": "N", "orcid": "0000-0002-8913-0340", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/ff311b44e78f4fb9a2ebb7b4d7f542d5.json"}}, {"family": "Mercader", "given": "Josep M", "initials": "JM", "orcid": "0000-0001-8494-3660", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a6c7a41ea07f46f19ca5d6f442461bbd.json"}}, {"family": "Florez", "given": "Jose C", "initials": "JC", "orcid": "0000-0002-1730-9325", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/0986a889b72a47068f6134b2567d1b2f.json"}}], "type": "journal article", "published": "2025-10-08", "journal": {"title": "medRxiv", "issn-l": null}, "abstract": "Optimizing second-line therapy for type 2 diabetes is challenging due to interindividual variability in response. We conducted a pharmacogenomic genome-wide association study (GWAS) in the Glycemia Reduction Approaches in Type 2 Diabetes: A Comparative Effectiveness (GRADE) Study to identify genetic predictors of glycemic response to insulin glargine, glimepiride, liraglutide, and sitagliptin, when added to metformin in a diverse population. We identified 21 genome-wide significant loci associated with treatment response. rs1905505, a non-coding variant near SLC2A2, the gene encoding the glucose transporter GLUT2, was enriched in Africans/African Americans and conferred a 36% increased risk of treatment failure on glimepiride (p=4.83\u00d710). Carriers had impaired \u03b2-cell function, evidenced by a lower C-peptide index during OGTT, and diminished glucose-lowering response to an acute sulfonylurea challenge. Genetic manipulation in zebrafish confirmed that slc2a2 disruption attenuates the glucose-lowering effect of glimepiride. In conclusion, genetic variation influences glycemic response to medications, with SLC2A2 emerging as a key determinant of sulfonylurea response.\n\nNCT01794143.", "doi": "10.1101/2025.10.07.25336827", "pmid": "41282760", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC12632647"}, {"db": "pii", "key": "2025.10.07.25336827"}, {"db": "ClinicalTrials.gov", "key": "NCT01794143"}], "notes": [], "created": "2026-09-23T15:51:48.104Z", "modified": "2026-09-23T15:51:48.901Z"}, {"entity": "publication", "iuid": "915028ae8d8c46d98641c0b10b4984b0", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/915028ae8d8c46d98641c0b10b4984b0.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/915028ae8d8c46d98641c0b10b4984b0"}}, "title": "Multi-instance learning with attention mechanism for coronary artery stenosis detection on coronary computed tomography angiography.", "authors": [{"family": "Gupta", "given": "Vibha", "initials": "V", "orcid": "0000-0002-3785-8380", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/37bb47aaeec54aa6839708c80f0285dc.json"}}, {"family": "Petursson", "given": "Petur", "initials": "P"}, {"family": "Hilgendorf", "given": "Lukas", "initials": "L"}, {"family": "Rawshani", "given": "Aidin", "initials": "A"}, {"family": "Bor\u00e9n", "given": "Jan", "initials": "J"}, {"family": "R\u00e5munddal", "given": "Truls", "initials": "T", "orcid": "0000-0001-9483-5962", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/5792ece0230048db99c4cc81434ff357.json"}}, {"family": "Omerovic", "given": "Elmir", "initials": "E", "orcid": "0000-0002-3875-8621", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/86ecd8364efe43a2911675790963b8e5.json"}}, {"family": "Louca", "given": "Antros", "initials": "A"}, {"family": "Anger\u00e5s", "given": "Oskar", "initials": "O", "orcid": "0000-0002-3474-2438", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/4777b51cdf8e4993bebcb6e56a50d291.json"}}, {"family": "Schneiderman", "given": "Justin", "initials": "J"}, {"family": "Skoglund", "given": "Kristofer", "initials": "K"}, {"family": "Bhatt", "given": "Deepak L", "initials": "DL", "orcid": "0000-0002-1278-6245", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/09d1e22054d04236888e44b8b41dd2b1.json"}}, {"family": "Kjellberg", "given": "Magnus", "initials": "M"}, {"family": "Andersson", "given": "Erik", "initials": "E"}, {"family": "Pirazzi", "given": "Carlo", "initials": "C"}, {"family": "Rawshani", "given": "Araz", "initials": "A", "orcid": "0000-0003-2066-3533", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/988e64c7923844018a9c5fe01d8c6917.json"}}], "type": "journal article", "published": "2025-05-00", "journal": {"title": "Eur Heart J Digit Health", "issn": "2634-3916", "volume": "6", "issue": "3", "pages": "382-391", "issn-l": null}, "abstract": "Accurate detection of coronary artery stenosis (CAS) on coronary computed tomography angiography is vital for saving lives, as timely diagnosis can prevent severe cardiac events. However, this task remains challenging due to data complexity and variability in imaging protocols. Deep learning offers promising potential to automate detection, but robust methods are essential to address real-world challenges effectively and enhance patient outcomes.\n\nA total of 900 cases with curved multiplanar reformations, pre-generated during routine clinical workflows, were used to train a multi-instance learning (MIL) model for detecting significant CAS (\u226550% luminal obstruction) in the left anterior descending (LAD), right coronary artery (RCA), and left circumflex (LCX), comprising 776 LAD, 694 RCA, and 600 LCX reconstructions. Patient-level predictions utilized attention scores to quantify each slice's contribution, ensuring a robust and interpretable diagnostic approach. The model achieved the best performance for LAD [area under the curve (AUC): 0.92, 95% confidence interval (CI): 0.87-0.96; Brier score: 0.11], followed by RCA (AUC: 0.91, 95% CI: 0.82-0.999; Brier score: 0.09) and LCX (AUC: 0.92, 95% CI: 0.84-0.99; Brier score: 0.07). Calibration was good for LAD but less precise for RCA and LCX. Attention scores enhanced diagnostic precision by focusing on the most relevant slices.\n\nThis study highlights the potential of MIL models for CAS detection, with remarkable performance in the LAD. By using attention scores, the model effectively identifies key slices from real-world data, seamlessly integrating with routine clinical workflows. Multi-range pre-processing addresses data complexity, enhancing diagnostic accuracy and supporting clinical decision-making.", "doi": "10.1093/ehjdh/ztaf029", "pmid": "40395409", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC12088718"}, {"db": "pii", "key": "ztaf029"}], "notes": [], "created": "2026-09-23T12:32:25.754Z", "modified": "2026-09-23T12:32:25.923Z"}]}