{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T03:46:43Z","timestamp":1784692003449,"version":"3.55.0"},"reference-count":27,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82202076"],"award-info":[{"award-number":["82202076"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82430060"],"award-info":[{"award-number":["82430060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.saa.2026.128178","type":"journal-article","created":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T07:31:26Z","timestamp":1780299086000},"page":"128178","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Non-invasive urinary FTIR spectroscopy for early diagnosis and monitoring of diabetic nephropathy"],"prefix":"10.1016","volume":"362","author":[{"given":"Jinfeng","family":"Ding","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengyi","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinjie","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiawen","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuxiang","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ping","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hancheng","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"23","key":"10.1016\/j.saa.2026.128178_bb0005","doi-asserted-by":"crossref","DOI":"10.3390\/ijms242317016","article-title":"The effect of diabetes mellitus type 1 on the energy metabolism of hepatocytes: multiphoton microscopy and fluorescence lifetime imaging","volume":"24","author":"Rodimova","year":"2023","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.saa.2026.128178_bb0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijbiomac.2024.135422","article-title":"Effects of chitosan guanidine on blood glucose regulation and gut microbiota in T2DM","volume":"279","author":"Liu","year":"2024","journal-title":"Int. J. Biol. Macromol."},{"key":"10.1016\/j.saa.2026.128178_bb0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.metabol.2025.156153","article-title":"Start small, think big: microRNAs in diabetes mellitus and relevant cardiorenal-liver metabolic health spectrum","volume":"165","author":"Chen","year":"2025","journal-title":"Metabolism"},{"issue":"2","key":"10.1016\/j.saa.2026.128178_bb0020","doi-asserted-by":"crossref","DOI":"10.4239\/wjd.v1.i2.48","article-title":"Renal function in diabetic nephropathy","volume":"1","author":"Dabla","year":"2010","journal-title":"World J. Diabetes"},{"issue":"18","key":"10.1016\/j.saa.2026.128178_bb0025","doi-asserted-by":"crossref","DOI":"10.3390\/ijms22189985","article-title":"Development of biomarkers and molecular therapy based on inflammatory genes in diabetic nephropathy","volume":"22","author":"Maiti","year":"2021","journal-title":"Int. J. Mol. Sci."},{"issue":"3","key":"10.1016\/j.saa.2026.128178_bb0030","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1111\/jdi.12329","article-title":"Biomarkers of progression in diabetic nephropathy: the past, present and future","volume":"6","author":"Lee","year":"2015","journal-title":"J. Diabetes Investig."},{"issue":"11","key":"10.1016\/j.saa.2026.128178_bb0035","doi-asserted-by":"crossref","first-page":"3460","DOI":"10.2337\/dc13-0323","article-title":"Linagliptin lowers albuminuria on top of recommended standard treatment in patients with type 2 diabetes and renal dysfunction","volume":"36","author":"Groop","year":"2013","journal-title":"Diabetes Care"},{"issue":"7","key":"10.1016\/j.saa.2026.128178_bb0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.xcrm.2024.101625","article-title":"Plasma infrared fingerprinting with machine learning enables single-measurement multi-phenotype health screening","volume":"5","author":"Eissa","year":"2024","journal-title":"Cell Reports Med."},{"key":"10.1016\/j.saa.2026.128178_bb0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.eclinm.2025.103142","article-title":"Development and validation of machine learning models with blood-based digital biomarkers for Alzheimer\u2019s disease diagnosis: a multicohort diagnostic study","volume":"81","author":"Jiao","year":"2025","journal-title":"eClinicalMedicine"},{"issue":"4","key":"10.1016\/j.saa.2026.128178_bb0050","doi-asserted-by":"crossref","DOI":"10.4258\/hir.2016.22.4.351","article-title":"Book review: deep learning","volume":"22","author":"Kim","year":"2016","journal-title":"Healthc. Inform. Res."},{"key":"10.1016\/j.saa.2026.128178_bb0055","doi-asserted-by":"crossref","unstructured":"National Research Council (US) Committee for the Update of the Guide for the Care and Use of Laboratory Animals. Guide for the Care and Use of Laboratory Animals 8th ed. DOI:10.17226\/12910.","DOI":"10.17226\/12910"},{"issue":"3","key":"10.1016\/j.saa.2026.128178_bb0060","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1111\/j.1440-1797.2007.00796.x","article-title":"Rodent models of streptozotocin-induced diabetic nephropathy (methods in renal research)","volume":"12","author":"Tesch","year":"2007","journal-title":"Nephrology"},{"issue":"8","key":"10.1016\/j.saa.2026.128178_bb0065","doi-asserted-by":"crossref","first-page":"1771","DOI":"10.1038\/nprot.2014.110","article-title":"Using Fourier transform IR spectroscopy to analyze biological materials","volume":"9","author":"Baker","year":"2014","journal-title":"Nat. Protoc."},{"key":"10.1016\/j.saa.2026.128178_bb0070","doi-asserted-by":"crossref","DOI":"10.1016\/j.pdpdt.2023.103753","article-title":"Providing potential solutions by using FT-IR spectroscopy for biofluid analysis: clinical impact of optical screening and diagnostic tests","volume":"44","author":"das Chagas e Silva de Carvalho","year":"2023","journal-title":"Photodiagn. Photodyn. Ther."},{"key":"10.1016\/j.saa.2026.128178_bb0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.microc.2022.108249","article-title":"Weighted spectrochemical correlation network analysis-guided GA-PLSR: a potential spectral \u201cfluid biopsy\u201d approach for quantitative assessment of cardiac metabolites in diabetic cardiomyopathy","volume":"185","author":"Lin","year":"2023","journal-title":"Microchem. J."},{"issue":"9","key":"10.1016\/j.saa.2026.128178_bb0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.bbadis.2022.166445","article-title":"Non\/mini-invasive monitoring of diabetes-induced myocardial damage by Fourier transform infrared spectroscopy: evidence from biofluids","volume":"1868","author":"Lin","year":"2022","journal-title":"Biochim. Biophys. Acta (BBA) - Mol. Basis Dis."},{"issue":"4","key":"10.1016\/j.saa.2026.128178_bb0085","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1002\/1873-3468.13644","article-title":"Profiling and bioinformatic analysis reveal differential microRNA expression in the left and right kidneys in normal mice","volume":"594","author":"Gao","year":"2019","journal-title":"FEBS Lett."},{"issue":"2","key":"10.1016\/j.saa.2026.128178_bb0090","doi-asserted-by":"crossref","first-page":"e91","DOI":"10.1016\/j.jss.2010.04.019","article-title":"Kidney transplantation in mice using left and right kidney grafts","volume":"163","author":"Tian","year":"2010","journal-title":"J. Surg. Res."},{"key":"10.1016\/j.saa.2026.128178_bb0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.foodchem.2021.129754","article-title":"FTIR and PLS-regression in the evaluation of bioactive amines, total phenolic compounds and antioxidant potential of dark chocolates","volume":"357","author":"Deus","year":"2021","journal-title":"Food Chem."},{"issue":"7","key":"10.1016\/j.saa.2026.128178_bb0105","doi-asserted-by":"crossref","first-page":"1879","DOI":"10.1039\/C5CS00540J","article-title":"Raman and infra-red microspectroscopy: towards quantitative evaluation for clinical research by ratiometric analysis","volume":"45","author":"Kumar","year":"2016","journal-title":"Chem. Soc. Rev."},{"issue":"7","key":"10.1016\/j.saa.2026.128178_bb0110","doi-asserted-by":"crossref","DOI":"10.3390\/ijms24076740","article-title":"The potential use of near- and mid-infrared spectroscopy in kidney diseases","volume":"24","author":"Delrue","year":"2023","journal-title":"Int. J. Mol. Sci."},{"issue":"5","key":"10.1016\/j.saa.2026.128178_bb0115","doi-asserted-by":"crossref","first-page":"1153","DOI":"10.1016\/j.kint.2015.11.027","article-title":"A label-free approach by infrared spectroscopic imaging for interrogating the biochemistry of diabetic nephropathy progression","volume":"89","author":"Varma","year":"2016","journal-title":"Kidney Int."},{"key":"10.1016\/j.saa.2026.128178_bb0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.saa.2021.120259","article-title":"Investigating the molecular structure of plasma in type 2 diabetes mellitus and diabetic nephropathy by synchrotron Fourier-transform infrared microspectroscopy","volume":"264","author":"Nimer","year":"2022","journal-title":"Spectrochim. Acta A Mol. Biomol. Spectrosc."},{"key":"10.1016\/j.saa.2026.128178_bb0100","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.trac.2019.01.018","article-title":"An overview of variable selection methods in multivariate analysis of near-infrared spectra","volume":"113","author":"Yun","year":"2019","journal-title":"TrAC Trends Anal. Chem."},{"issue":"7","key":"10.1016\/j.saa.2026.128178_bb0125","doi-asserted-by":"crossref","DOI":"10.3390\/jcm8071022","article-title":"Detection and characterization of a biochemical signature associated with diabetic nephropathy using near-infrared spectroscopy on tissue sections","volume":"8","author":"De Bruyne","year":"2019","journal-title":"J. Clin. Med."},{"issue":"10","key":"10.1016\/j.saa.2026.128178_bb0130","doi-asserted-by":"crossref","first-page":"1648","DOI":"10.1080\/00032719.2021.2019758","article-title":"Principal component analysis (PCA) loading and statistical tests for nuclear magnetic resonance (NMR) metabolomics involving multiple study groups","volume":"55","author":"Jiang","year":"2022","journal-title":"Anal. Lett."},{"issue":"4","key":"10.1016\/j.saa.2026.128178_bb0135","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1515\/cclm-2021-0599","article-title":"The multicenter European biological variation study (EuBIVAS): a new glance provided by the principal component analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurands","volume":"60","author":"Carobene","year":"2022","journal-title":"Clin. Chem. Lab Med. (CCLM)"}],"container-title":["Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1386142526007493?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1386142526007493?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T07:16:32Z","timestamp":1783408592000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1386142526007493"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":27,"alternative-id":["S1386142526007493"],"URL":"https:\/\/doi.org\/10.1016\/j.saa.2026.128178","relation":{},"ISSN":["1386-1425"],"issn-type":[{"value":"1386-1425","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Non-invasive urinary FTIR spectroscopy for early diagnosis and monitoring of diabetic nephropathy","name":"articletitle","label":"Article Title"},{"value":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.saa.2026.128178","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"128178"}}