Functional MRI in assessment of diabetic kidney disease in people with type 1 diabetes
To compare levels of renal hypoxia measured by Blood Oxygen Level Dependent (BOLD) magnetic resonance imaging (MRI) with measured transverse relaxation rate (R2*) and renal structural changes including apparent diffusion coefficient (ADC) and fractional anisotropy (FA) in patients with type 1 diabet...
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| Veröffentlicht in: | Journal of diabetes and its complications 2022-01, Vol.36 (1), p.108076-108076, Article 108076 |
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| container_title | Journal of diabetes and its complications |
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| creator | Seah, Jas-mine Botterill, Elissa MacIsaac, Richard J. Milne, Michele Ekinci, Elif I. Lim, Ruth P. |
| description | To compare levels of renal hypoxia measured by Blood Oxygen Level Dependent (BOLD) magnetic resonance imaging (MRI) with measured transverse relaxation rate (R2*) and renal structural changes including apparent diffusion coefficient (ADC) and fractional anisotropy (FA) in patients with type 1 diabetes and healthy controls.
Cohort study comparing MRI metrics in type 1 diabetes (n = 32, GFR 105 (77, 120) ml/min.1.73m2) and controls (n = 10). Renal function and selected inflammatory renal biomarkers were also measured.
For BOLD, we found reduced cortical [14.7 (13.7,15.8) (1/s) vs 15.7 (15.1,16.6) (1/s), p |
| doi_str_mv | 10.1016/j.jdiacomp.2021.108076 |
| format | Article |
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Cohort study comparing MRI metrics in type 1 diabetes (n = 32, GFR 105 (77, 120) ml/min.1.73m2) and controls (n = 10). Renal function and selected inflammatory renal biomarkers were also measured.
For BOLD, we found reduced cortical [14.7 (13.7,15.8) (1/s) vs 15.7 (15.1,16.6) (1/s), p < 0.001] and medullary [24.8 (21.8,28.2) (1/s) vs. 29.3 (24.3,32.4) (1/s), p < 0.001] R2*, indicating more oxygenated parenchyma, in type 1 diabetes vs. controls, respectively. We observed reduced cortical FA, indicating decreased structural integrity in type 1 diabetes −0.04 (−0.07, −0.01), (p = 0.02). We found reduced cortical ADC, reflecting reduced water diffusion, in non-hyperfiltering [2.40 (2.29,2.53) (103mm2/s)] versus hyperfiltering [2.61 (2.53,2.74) (103mm2/s)] type 1 diabetes patients. MRI parameters correlated with renal function and inflammatory renal biomarkers.
MRI derived indices of renal function and structure differed between (i) type 1 diabetes and healthy controls, and (ii) between non-hyperfiltering and hyperfiltering type 1 diabetes patients, providing insight into the role of hypoxia and renal structural, and functional changes in DKD.
•Diabetic kidney disease has significant personal burden and wider implications.•Techniques to detect and halt the progression of diabetic kidney disease are important.•Magnetic resonance imaging is a promising tool to investigate the pathophysiology of diabetic kidney disease.•MRI structural changes compliments renal biomarkers in our understanding of diabetic kidney disease.</description><identifier>ISSN: 1056-8727</identifier><identifier>EISSN: 1873-460X</identifier><identifier>DOI: 10.1016/j.jdiacomp.2021.108076</identifier><identifier>PMID: 34802902</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Anemia ; Biomarkers ; Cohort Studies ; Diabetes ; Diabetes Mellitus, Type 1 - complications ; Diabetes Mellitus, Type 1 - diagnostic imaging ; Diabetic kidney disease ; Diabetic Nephropathies - diagnostic imaging ; Diabetic nephropathy ; Diffusion Tensor Imaging - methods ; Glucose ; Hemoglobin ; Humans ; Hypoxia ; Kidney - diagnostic imaging ; Kidney diseases ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; MRI ; Neutrophils ; Renal biomarkers ; Statistical analysis</subject><ispartof>Journal of diabetes and its complications, 2022-01, Vol.36 (1), p.108076-108076, Article 108076</ispartof><rights>2021 Elsevier Inc.</rights><rights>Copyright © 2021 Elsevier Inc. All rights reserved.</rights><rights>2021. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-1bca4c3ea5a66f2234f2e957ca4ddc90d724f87d6ea47f7f380c622d8cb762403</citedby><cites>FETCH-LOGICAL-c396t-1bca4c3ea5a66f2234f2e957ca4ddc90d724f87d6ea47f7f380c622d8cb762403</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1056872721002956$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34802902$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Seah, Jas-mine</creatorcontrib><creatorcontrib>Botterill, Elissa</creatorcontrib><creatorcontrib>MacIsaac, Richard J.</creatorcontrib><creatorcontrib>Milne, Michele</creatorcontrib><creatorcontrib>Ekinci, Elif I.</creatorcontrib><creatorcontrib>Lim, Ruth P.</creatorcontrib><title>Functional MRI in assessment of diabetic kidney disease in people with type 1 diabetes</title><title>Journal of diabetes and its complications</title><addtitle>J Diabetes Complications</addtitle><description>To compare levels of renal hypoxia measured by Blood Oxygen Level Dependent (BOLD) magnetic resonance imaging (MRI) with measured transverse relaxation rate (R2*) and renal structural changes including apparent diffusion coefficient (ADC) and fractional anisotropy (FA) in patients with type 1 diabetes and healthy controls.
Cohort study comparing MRI metrics in type 1 diabetes (n = 32, GFR 105 (77, 120) ml/min.1.73m2) and controls (n = 10). Renal function and selected inflammatory renal biomarkers were also measured.
For BOLD, we found reduced cortical [14.7 (13.7,15.8) (1/s) vs 15.7 (15.1,16.6) (1/s), p < 0.001] and medullary [24.8 (21.8,28.2) (1/s) vs. 29.3 (24.3,32.4) (1/s), p < 0.001] R2*, indicating more oxygenated parenchyma, in type 1 diabetes vs. controls, respectively. We observed reduced cortical FA, indicating decreased structural integrity in type 1 diabetes −0.04 (−0.07, −0.01), (p = 0.02). We found reduced cortical ADC, reflecting reduced water diffusion, in non-hyperfiltering [2.40 (2.29,2.53) (103mm2/s)] versus hyperfiltering [2.61 (2.53,2.74) (103mm2/s)] type 1 diabetes patients. MRI parameters correlated with renal function and inflammatory renal biomarkers.
MRI derived indices of renal function and structure differed between (i) type 1 diabetes and healthy controls, and (ii) between non-hyperfiltering and hyperfiltering type 1 diabetes patients, providing insight into the role of hypoxia and renal structural, and functional changes in DKD.
•Diabetic kidney disease has significant personal burden and wider implications.•Techniques to detect and halt the progression of diabetic kidney disease are important.•Magnetic resonance imaging is a promising tool to investigate the pathophysiology of diabetic kidney disease.•MRI structural changes compliments renal biomarkers in our understanding of diabetic kidney disease.</description><subject>Anemia</subject><subject>Biomarkers</subject><subject>Cohort Studies</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 1 - complications</subject><subject>Diabetes Mellitus, Type 1 - diagnostic imaging</subject><subject>Diabetic kidney disease</subject><subject>Diabetic Nephropathies - diagnostic imaging</subject><subject>Diabetic nephropathy</subject><subject>Diffusion Tensor Imaging - methods</subject><subject>Glucose</subject><subject>Hemoglobin</subject><subject>Humans</subject><subject>Hypoxia</subject><subject>Kidney - diagnostic imaging</subject><subject>Kidney diseases</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>MRI</subject><subject>Neutrophils</subject><subject>Renal biomarkers</subject><subject>Statistical analysis</subject><issn>1056-8727</issn><issn>1873-460X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkE1P3DAQQK2qqAu0f2FlqZdesh07jp3cQAhaJBASolVvlteeqA5JnMYJaP89jnbhwKWn-dCbGc0jZM1gw4DJ782mcd7Y0A0bDpylZglKfiDHrFR5JiT8-ZhyKGRWKq5W5CTGBgBkUbBPZJWLEngF_Jj8vpp7O_nQm5be3l9T31MTI8bYYT_RUNN0ZYuTt_TRux53qY5oIi7ggGFokT776S-ddgNSdqAxfiZHtWkjfjnEU_Lr6vLh4md2c_fj-uL8JrN5JaeMba0RNkdTGClrznNRc6wKlbrO2Qqc4qIulZNohKpVnZdgJeeutFsluYD8lHzb7x3G8G_GOOnOR4tta3oMc9RcApRcFEIk9Os7tAnzmP5eKFbwSnJYKLmn7BhiHLHWw-g7M-40A72Y141-Na8X83pvPg2uD-vnbYfubexVdQLO9gAmH08eRx2tx96i8yPaSbvg_3fjBakmlvE</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Seah, Jas-mine</creator><creator>Botterill, Elissa</creator><creator>MacIsaac, Richard J.</creator><creator>Milne, Michele</creator><creator>Ekinci, Elif I.</creator><creator>Lim, Ruth P.</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K6X</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>202201</creationdate><title>Functional MRI in assessment of diabetic kidney disease in people with type 1 diabetes</title><author>Seah, Jas-mine ; Botterill, Elissa ; MacIsaac, Richard J. ; Milne, Michele ; Ekinci, Elif I. ; Lim, Ruth P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-1bca4c3ea5a66f2234f2e957ca4ddc90d724f87d6ea47f7f380c622d8cb762403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Anemia</topic><topic>Biomarkers</topic><topic>Cohort Studies</topic><topic>Diabetes</topic><topic>Diabetes Mellitus, Type 1 - complications</topic><topic>Diabetes Mellitus, Type 1 - diagnostic imaging</topic><topic>Diabetic kidney disease</topic><topic>Diabetic Nephropathies - diagnostic imaging</topic><topic>Diabetic nephropathy</topic><topic>Diffusion Tensor Imaging - methods</topic><topic>Glucose</topic><topic>Hemoglobin</topic><topic>Humans</topic><topic>Hypoxia</topic><topic>Kidney - diagnostic imaging</topic><topic>Kidney diseases</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>MRI</topic><topic>Neutrophils</topic><topic>Renal biomarkers</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Seah, Jas-mine</creatorcontrib><creatorcontrib>Botterill, Elissa</creatorcontrib><creatorcontrib>MacIsaac, Richard J.</creatorcontrib><creatorcontrib>Milne, Michele</creatorcontrib><creatorcontrib>Ekinci, Elif I.</creatorcontrib><creatorcontrib>Lim, Ruth P.</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>ProQuest Nursing and Allied Health Journals</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma 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)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>British Nursing Index (BNI) (1985 to Present)</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>British Nursing Index</collection><collection>Consumer Health Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Family Health Database (Proquest)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</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>MEDLINE - Academic</collection><jtitle>Journal of diabetes and its complications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Seah, Jas-mine</au><au>Botterill, Elissa</au><au>MacIsaac, Richard J.</au><au>Milne, Michele</au><au>Ekinci, Elif I.</au><au>Lim, Ruth P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Functional MRI in assessment of diabetic kidney disease in people with type 1 diabetes</atitle><jtitle>Journal of diabetes and its complications</jtitle><addtitle>J Diabetes Complications</addtitle><date>2022-01</date><risdate>2022</risdate><volume>36</volume><issue>1</issue><spage>108076</spage><epage>108076</epage><pages>108076-108076</pages><artnum>108076</artnum><issn>1056-8727</issn><eissn>1873-460X</eissn><abstract>To compare levels of renal hypoxia measured by Blood Oxygen Level Dependent (BOLD) magnetic resonance imaging (MRI) with measured transverse relaxation rate (R2*) and renal structural changes including apparent diffusion coefficient (ADC) and fractional anisotropy (FA) in patients with type 1 diabetes and healthy controls.
Cohort study comparing MRI metrics in type 1 diabetes (n = 32, GFR 105 (77, 120) ml/min.1.73m2) and controls (n = 10). Renal function and selected inflammatory renal biomarkers were also measured.
For BOLD, we found reduced cortical [14.7 (13.7,15.8) (1/s) vs 15.7 (15.1,16.6) (1/s), p < 0.001] and medullary [24.8 (21.8,28.2) (1/s) vs. 29.3 (24.3,32.4) (1/s), p < 0.001] R2*, indicating more oxygenated parenchyma, in type 1 diabetes vs. controls, respectively. We observed reduced cortical FA, indicating decreased structural integrity in type 1 diabetes −0.04 (−0.07, −0.01), (p = 0.02). We found reduced cortical ADC, reflecting reduced water diffusion, in non-hyperfiltering [2.40 (2.29,2.53) (103mm2/s)] versus hyperfiltering [2.61 (2.53,2.74) (103mm2/s)] type 1 diabetes patients. MRI parameters correlated with renal function and inflammatory renal biomarkers.
MRI derived indices of renal function and structure differed between (i) type 1 diabetes and healthy controls, and (ii) between non-hyperfiltering and hyperfiltering type 1 diabetes patients, providing insight into the role of hypoxia and renal structural, and functional changes in DKD.
•Diabetic kidney disease has significant personal burden and wider implications.•Techniques to detect and halt the progression of diabetic kidney disease are important.•Magnetic resonance imaging is a promising tool to investigate the pathophysiology of diabetic kidney disease.•MRI structural changes compliments renal biomarkers in our understanding of diabetic kidney disease.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>34802902</pmid><doi>10.1016/j.jdiacomp.2021.108076</doi><tpages>1</tpages></addata></record> |
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| subjects | Anemia Biomarkers Cohort Studies Diabetes Diabetes Mellitus, Type 1 - complications Diabetes Mellitus, Type 1 - diagnostic imaging Diabetic kidney disease Diabetic Nephropathies - diagnostic imaging Diabetic nephropathy Diffusion Tensor Imaging - methods Glucose Hemoglobin Humans Hypoxia Kidney - diagnostic imaging Kidney diseases Magnetic resonance imaging Magnetic Resonance Imaging - methods MRI Neutrophils Renal biomarkers Statistical analysis |
| title | Functional MRI in assessment of diabetic kidney disease in people with type 1 diabetes |
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