{"id":145025,"date":"2023-05-15T10:25:54","date_gmt":"2023-05-15T02:25:54","guid":{"rendered":"https:\/\/www.cpr.cuhk.edu.hk\/?post_type=press&p=145025"},"modified":"2023-05-19T15:06:00","modified_gmt":"2023-05-19T07:06:00","slug":"new-algorithm-can-predict-diabetic-kidney-disease","status":"publish","type":"press","link":"https:\/\/www.cpr.cuhk.edu.hk\/en\/press\/new-algorithm-can-predict-diabetic-kidney-disease\/","title":{"rendered":"New algorithm can predict diabetic kidney disease"},"content":{"rendered":"","protected":false},"featured_media":0,"template":"","tags":[],"class_list":["post-145025","press","type-press","status-publish","hentry"],"acf":{"title_alt":"New algorithm can predict diabetic kidney disease\r\nA simple blood sample could help doctors catch kidney disease earlier in type 2 diabetes patients","sub_title_alt":"","press_date":"20230515","keep":false,"details":"

Researchers from The Chinese University of Hong Kong (CUHK) and Sanford Burnham Prebys have developed a computational approach to predict whether a person with type 2 diabetes will develop kidney disease, a frequent and dangerous complication of the condition. Their results, published in Nature Communications<\/em>, could help doctors prevent or better manage kidney disease in people with type 2 diabetes.<\/p>\r\n

Diabetes is the leading cause of kidney failure worldwide. In Asia, about 50% of cases of end stage kidney disease and dialysis are due to diabetes.<\/p>\r\n

\u201cThere has been significant progress developing treatments for kidney disease in people with diabetes,\u201d said co-senior author Professor Ronald Ma<\/strong>, S.H. Ho Professor of Diabetes and Head (Academic Affairs), Division of Endocrinology and Diabetes, Department of Medicine and Therapeutics at CUHK\u2019s Faculty of Medicine (CU Medicine). \u201cHowever, it can be difficult to assess an individual patient\u2019s risk of developing kidney disease based on clinical factors alone, so determining who is at greatest risk of developing diabetic kidney disease is an important clinical need.\u201d<\/p>\r\n

\u201cThis study provides a glimpse into the powerful future of predictive diagnostics,\u201d said co-senior author Professor Kevin Yip<\/strong>, Professor and Director of Bioinformatics at Sanford Burnham Prebys, and Professor (by Courtesy) at CUHK\u2019s Hong Kong Institute of Diabetes and Obesity. \u201cOur team has demonstrated that by combining clinical data with cutting-edge technology, it\u2019s possible to develop computational models that help clinicians optimise the treatment of type 2 diabetes and prevent kidney disease.\u201d<\/p>\r\n

The new algorithm depends on measurements of a process called DNA methylation, which occurs when subtle changes accumulate in our DNA. DNA methylation can encode important information about which genes are being turned on and off, and it can be easily measured through blood tests.<\/p>\r\n

\u201cOur computational model can use methylation markers from a blood sample to predict both current kidney function and how the kidneys will function years in the future, which means it could be easily implemented alongside current methods for evaluating a patient\u2019s risk of kidney disease,\u201d said Professor Yip.<\/p>\r\n

The researchers developed their model using detailed data from more than 1,200 patients with type 2 diabetes in the Hong Kong Diabetes Register. They also tested their model on a separate group of 326 native Americans with type 2 diabetes, which helped ensure that their approach could predict kidney disease in different populations.\u00a0<\/p>\r\n

\u201cThis study highlights the unique strength of the Hong Kong Diabetes Register and its huge potential to fuel further discoveries that improve our understanding of diabetes and its complications,\u201d said study co-author Professor Juliana Chan<\/strong>, Chair Professor of Medicine and Therapeutics at CU Medicine, who established the Hong Kong Diabetes Register more than two decades ago.<\/p>\r\n

\u201cThe Hong Kong Diabetes Register is a scientific treasure,\u201d added first author Dr Kelly Li Yichen<\/strong>, a postdoctoral scientist at Sanford Burnham Prebys. \u201cIt follows up with patients for many years, giving us a full picture of how human health can change over decades in people with diabetes.\u201d<\/p>\r\n

The researchers are currently working to further refine their model. They are also expanding the application of their approach to incorporate other data that can further enhance their ability to predict other diabetes-related outcomes.<\/p>\r\n

\u201cOur collaboration with experts in clinical diabetes, computational science and bioinformatics started in Hong Kong,\u201d added Professor Ma. \u201cWe are delighted that the findings of this study could improve future care and make it easier to determine who will benefit most from these new treatments to prevent kidney damage from diabetes. The science is still evolving, but we are working on incorporating additional information into our model to further empower precision diabetes medicine.\u201d<\/p>\r\n

The study was supported by grants from The Hong Kong Research Grants Council Theme-based Research Scheme and Research Impact Fund, with additional support from the Research Grants Council, National Institutes of Health, the Croucher Foundation and CUHK. The project team have already filed a patent related to their invention.<\/p>\r\n

The study\u2019s DOI is 10.1038\/s41467-023-37837-7<\/a><\/p>","show_as_achievement":false,"achievement_category":[],"show_as_clarification":false,"show_as_announcement":false,"photos":[{"photo":145033,"caption":"Professor Ronald Ma"},{"photo":145030,"caption":"Professor Kevin Yip"},{"photo":145031,"caption":"Professor Juliana Chan"},{"photo":145032,"caption":"Dr Kelly Li Yichen"}],"attachments":[{"text":"About CU Medicine and Sanford Burnham Prebys","link":"","file":145039}],"video_source":"","video_file":"","add_play_button":false,"video_caption":"","show_migration":false,"original_id":0,"photos_original":null,"attachments_original":null},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.cpr.cuhk.edu.hk\/en\/wp-json\/wp\/v2\/press\/145025","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cpr.cuhk.edu.hk\/en\/wp-json\/wp\/v2\/press"}],"about":[{"href":"https:\/\/www.cpr.cuhk.edu.hk\/en\/wp-json\/wp\/v2\/types\/press"}],"version-history":[{"count":11,"href":"https:\/\/www.cpr.cuhk.edu.hk\/en\/wp-json\/wp\/v2\/press\/145025\/revisions"}],"predecessor-version":[{"id":145251,"href":"https:\/\/www.cpr.cuhk.edu.hk\/en\/wp-json\/wp\/v2\/press\/145025\/revisions\/145251"}],"wp:attachment":[{"href":"https:\/\/www.cpr.cuhk.edu.hk\/en\/wp-json\/wp\/v2\/media?parent=145025"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cpr.cuhk.edu.hk\/en\/wp-json\/wp\/v2\/tags?post=145025"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}