Urinary PART1 and PLA2R1 Could Potentially Serve as Diagnostic Markers for Diabetic Kidney Disease Patients

References

• Zhai Y, Cao X, Liu S, Shen Y. The diagnostic value of lipoprotein-associated phospholipase A2 in early diabetic nephropathy. Ann Med. 2023;55(2):2230446. doi:10.1080/07853890.2023.2230446
   PubMed Web of Science ®Google Scholar
• ElSayed NA, Aleppo G, Aroda VR, et al. 2. classification and diagnosis of diabetes: standards of care in diabetes-2023. Diabetes Care. 2023;46(Suppl 1):S19–S40. doi:10.2337/dc23-S002
   PubMed Web of Science ®Google Scholar
• Krolewski AS. Progressive renal decline: the new paradigm of diabetic nephropathy in type 1 diabetes. Diabetes Care. 2015;38(6):954–962. doi:10.2337/dc15-0184
   PubMed Web of Science ®Google Scholar
• Rigalleau V, Lasseur C, Raffaitin C, et al. Normoalbuminuric renal-insufficient diabetic patients: a lower-risk group. Diabetes Care. 2007;30(8):2034–2039. doi:10.2337/dc07-0140
   PubMed Web of Science ®Google Scholar
• Colhoun HM, Marcovecchio ML. Biomarkers of diabetic kidney disease. Diabetologia. 2018;61(5):996–1011. doi:10.1007/s00125-018-4567-5
   PubMed Web of Science ®Google Scholar
• Wang Y, Zhao Y, Zhao Z, et al. Single-cell RNA-Seq analysis identified kidney progenitor cells from human urine. Protein Cell Apr. 2021;12(4):305–312. doi:10.1007/s13238-020-00816-5
   PubMed Web of Science ®Google Scholar
• Li M, Zhao M, Gao Y. Changes of proteins induced by anticoagulants can be more sensitively detected in urine than in plasma. Sci China Life Sci. 2014;57(7):649–656. doi:10.1007/s11427-014-4661-y
   PubMed Web of Science ®Google Scholar
• Gao Y. Urine-an untapped goldmine for biomarker discovery? Sci China Life Sci. 2013;56(12):1145–1146. doi:10.1007/s11427-013-4574-1
   PubMed Web of Science ®Google Scholar
• Hu X, Feng H, Huang H, et al. Downregulated long noncoding RNA PART1 inhibits proliferation and promotes apoptosis in bladder cancer. Technol Cancer Res Treat. 2019;18:1533033819846638. doi:10.1177/1533033819846638
   Web of Science ®Google Scholar
• Gao D, Hao L, Zhao Z. Long non-coding RNA PART1 promotes intervertebral disc degeneration through regulating the miR‑93/MMP2 pathway in nucleus pulposus cells. Int J Mol Med. 2020;46(1):289–299. doi:10.3892/ijmm.2020.4580
   PubMed Web of Science ®Google Scholar
• Lu C, Li Z, Hu S, Cai Y, Peng K. LncRNA PART-1 targets TGFBR2/Smad3 to regulate cell viability and apoptosis of chondrocytes via acting as miR-590-3p sponge in osteoarthritis. J Cell Mol Med. 2019;23(12):8196–8205. doi:10.1111/jcmm.14690
   PubMed Web of Science ®Google Scholar
• Augert A, Payré C, de Launoit Y, Gil J, Lambeau G, Bernard D. The M-type receptor PLA2R regulates senescence through the p53 pathway. EMBO Rep. 2009;10(3):271–277. doi:10.1038/embor.2008.255
   PubMed Web of Science ®Google Scholar
• Griveau A, Wiel C, Le Calvé B, et al. Targeting the phospholipase A2 receptor ameliorates premature aging phenotypes. Aging Cell. 2018;17(6):e12835. doi:10.1111/acel.12835
   PubMed Web of Science ®Google Scholar
• Loffredo S, Borriello F, Iannone R, et al. Group V secreted phospholipase A(2) induces the release of proangiogenic and antiangiogenic factors by human neutrophils. Front Immunol. 2017;8:443. doi:10.3389/fimmu.2017.00443
   PubMed Web of Science ®Google Scholar
• Kocak MZ, Aktas G, Erkus E, Duman TT, Atak BM, Savli H. Mean platelet volume to lymphocyte ratio as a novel marker for diabetic nephropathy. J Coll Physicians Surg Pak. 2018;28(11):844–847. doi:10.29271/jcpsp.2018.11.844
   PubMed Web of Science ®Google Scholar
• Kin Tekce B, Tekce H, Aktas G, Sit M. Evaluation of the urinary kidney injury molecule-1 levels in patients with diabetic nephropathy. Clin Invest Med. 2014;37(6):E377–E383. doi:10.25011/cim.v37i6.22242
   PubMed Web of Science ®Google Scholar
• Tekce H, Tekce BK, Aktas G, Alcelik A, Sengul E. Serum omentin-1 levels in diabetic and nondiabetic patients with chronic kidney disease. Exp Clin Endocrinol Diabetes. 2014;122(8):451–456. doi:10.1055/s-0034-1375674
   PubMed Web of Science ®Google Scholar
• Aktas G. Association between the prognostic nutritional index and chronic microvascular complications in patients with type 2 diabetes mellitus. J Clin Med. 2023;12:18.
   Web of Science ®Google Scholar
• Kocak MZ, Aktas G, Atak BM, et al. Is Neuregulin-4 a predictive marker of microvascular complications in type 2 diabetes mellitus? Eur J Clin Invest. 2020;50(3):e13206. doi:10.1111/eci.13206
   PubMed Web of Science ®Google Scholar
• Bilgin S, Kurtkulagi O, Atak Tel BM, et al. Does C-reactive protein to serum albumin ratio correlate with diabEtic nephropathy in patients with Type 2 dIabetes MEllitus? The CARE TIME study. Prim Care Diabetes. 2021;15(6):1071–1074. doi:10.1016/j.pcd.2021.08.015
   PubMed Web of Science ®Google Scholar
• Kocak MZ, Aktas G, Duman TT, Atak BM, Savli H. Is uric acid elevation a random finding or a causative agent of diabetic nephropathy? Rev Assoc Med Bras. 2019;65(9):1155–1160. doi:10.1590/1806-9282.65.9.1156
   PubMed Web of Science ®Google Scholar
• Kocak MZ, Aktas G, Duman TT, et al. Monocyte lymphocyte ratio as a predictor of diabetic kidney injury in type 2 diabetes mellitus; the MADKID study. J Diabetes Metab Disord. 2020;19(2):997–1002. doi:10.1007/s40200-020-00595-0
   PubMed Web of Science ®Google Scholar
• Aktas G, Yilmaz S, Kantarci DB, et al. Is serum uric acid-to-HDL cholesterol ratio elevation associated with diabetic kidney injury? Postgrad Med. 2023;135(5):519–523. doi:10.1080/00325481.2023.2214058
   PubMed Web of Science ®Google Scholar
• Zhou LT, Lv LL, Qiu S, et al. Bioinformatics-based discovery of the urinary BBOX1 mRNA as a potential biomarker of diabetic kidney disease. J Transl Med. 2019;17(1):59. doi:10.1186/s12967-019-1818-2
   PubMedGoogle Scholar
• Hwang B, Lee JH, Bang D. Single-cell RNA sequencing technologies and bioinformatics pipelines. Exp Mol Med. 2018;50(8):1–14. doi:10.1038/s12276-018-0071-8
   Web of Science ®Google Scholar
• Schreibing F, Kramann R. Mapping the human kidney using single-cell genomics. Nat Rev Nephrol. 2022;18(6):347–360. doi:10.1038/s41581-022-00553-4
   PubMed Web of Science ®Google Scholar
• Sun YH, Chen K, Chen X, et al. Expert consensus on the management of diabetic patients with cardiovascular diseases. Zhonghua Nei Ke Za Zhi. 2021;60(5):421–437. doi:10.3760/cma.j.cn112138-20201208-00999
   PubMedGoogle Scholar
• Wilson PC, Wu H, Kirita Y, et al. The single-cell transcriptomic landscape of early human diabetic nephropathy. Proc Natl Acad Sci U S A. 2019;116(39):19619–19625. doi:10.1073/pnas.1908706116
   PubMed Web of Science ®Google Scholar
• Abedini A, Zhu YO, Chatterjee S, et al. Urinary single-cell profiling captures the cellular diversity of the kidney. J Am Soc Nephrol. 2021;32(3):614–627. doi:10.1681/asn.2020050757
   PubMed Web of Science ®Google Scholar
• Barrett T, Wilhite SE, Ledoux P, et al. NCBI GEO: archive for functional genomics data sets--update. Nucleic Acids Res. 2013;41:D991–D995. doi:10.1093/nar/gks1193
   PubMed Web of Science ®Google Scholar
• Yip SH, Sham PC, Wang J. Evaluation of tools for highly variable gene discovery from single-cell RNA-seq data. Brief Bioinform. 2019;20(4):1583–1589. doi:10.1093/bib/bby011
   PubMed Web of Science ®Google Scholar
• Tan Z, Chen X, Zuo J, Fu S, Wang H, Wang J. Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model. J Transl Med. 2023;21(1):223. doi:10.1186/s12967-023-04056-z
   PubMed Web of Science ®Google Scholar
• Conserva F, Barozzino M, Pesce F, et al. Urinary miRNA-27b-3p and miRNA-1228-3p correlate with the progression of kidney fibrosis in diabetic nephropathy. Sci Rep. 2019;9(1):11357. doi:10.1038/s41598-019-47778-1
   PubMed Web of Science ®Google Scholar
• Woroniecka KI, Park AS, Mohtat D, Thomas DB, Pullman JM, Susztak K. Transcriptome analysis of human diabetic kidney disease. Diabetes. 2011;60(9):2354–2369. doi:10.2337/db10-1181
   PubMed Web of Science ®Google Scholar
• Friedman J, Hastie T, Tibshirani R. Regularization paths for generalized linear models via coordinate descent. J Stat Softw. 2010;33(1):1–22.
   PubMed Web of Science ®Google Scholar
• Yang C, Delcher C, Shenkman E, Ranka S. Machine learning approaches for predicting high cost high need patient expenditures in health care. Biomed Eng Online. 2018;17(Suppl 1):131. doi:10.1186/s12938-018-0568-3
   PubMedGoogle Scholar
• Ellis K, Godbole S, Marshall S, Lanckriet G, Staudenmayer J, Kerr J. Identifying active travel behaviors in challenging environments using GPS, accelerometers, and machine learning algorithms. Front Public Health. 2014;2:36. doi:10.3389/fpubh.2014.00036
   PubMedGoogle Scholar
• Sanz H, Valim C, Vegas E, Oller JM, Reverter F. SVM-RFE: selection and visualization of the most relevant features through non-linear kernels. BMC Bioinf. 2018;19(1):432. doi:10.1186/s12859-018-2451-4
   PubMedGoogle Scholar
• Cheng Q, Chen X, Wu H, Du Y. Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis. J Transl Med. 2021;19(1):18. doi:10.1186/s12967-020-02689-y
   PubMed Web of Science ®Google Scholar
• van de Logt AE, Fresquet M, Wetzels JF, Brenchley P. The anti-PLA2R antibody in membranous nephropathy: what we know and what remains a decade after its discovery. Kidney Int. 2019;96(6):1292–1302. doi:10.1016/j.kint.2019.07.014
   PubMed Web of Science ®Google Scholar
• Shannon P, Markiel A, Ozier O, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–2504. doi:10.1101/gr.1239303
   PubMed Web of Science ®Google Scholar
• Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics. 2012;16(5):284–287. doi:10.1089/omi.2011.0118
   PubMed Web of Science ®Google Scholar
• Girault-Sotias PE, Gerbier R, Flahault A, de Mota N, Llorens-Cortes C. Apelin and vasopressin: the yin and yang of water balance. Front Endocrinol. 2021;12:735515. doi:10.3389/fendo.2021.735515
   PubMed Web of Science ®Google Scholar
• Blachier F, Davila AM, Benamouzig R, Tome D. Channelling of arginine in NO and polyamine pathways in colonocytes and consequences. Front Biosci. 2011;16(4):1331–1343. doi:10.2741/3792
   Google Scholar
• Lee DL, Sasser JM, Hobbs JL, et al. Posttranslational regulation of NO synthase activity in the renal medulla of diabetic rats. Am J Physiol Renal Physiol. 2005;288(1):F82–F90. doi:10.1152/ajprenal.00127.2004
   PubMed Web of Science ®Google Scholar
• Perry RJ, Zhang D, Guerra MT, et al. Glucagon stimulates gluconeogenesis by INSP3R1-mediated hepatic lipolysis. Nature. 2020;579:7798):279–283. doi:10.1038/s41586-020-2074-6
   Web of Science ®Google Scholar
• Yang J, Liu Z. Mechanistic pathogenesis of endothelial dysfunction in diabetic nephropathy and retinopathy. Front Endocrinol. 2022;13:816400. doi:10.3389/fendo.2022.816400
   PubMed Web of Science ®Google Scholar
• Ran R, Gong CY, Wang ZQ, et al. Long non‑coding RNA PART1: dual role in cancer. Hum Cell. 2022;35(5):1364–1374. doi:10.1007/s13577-022-00752-y
   PubMed Web of Science ®Google Scholar
• Hu X, Zhang L, Tian J, Ma J. Long non-coding RNA PART1 predicts a poor prognosis and promotes the malignant progression of pancreatic cancer by sponging miR-122. World J Surg Oncol. 2021;19(1):122. doi:10.1186/s12957-021-02232-3
   PubMed Web of Science ®Google Scholar
• Sun M, Geng D, Li S, Chen Z, Zhao W. LncRNA PART1 modulates toll-like receptor pathways to influence cell proliferation and apoptosis in prostate cancer cells. Biol Chem. 2018;399(4):387–395. doi:10.1515/hsz-2017-0255
   PubMed Web of Science ®Google Scholar
• Zhang S, Cao R, Li Q, Yao M, Chen Y, Zhou H. Comprehensive analysis of lncRNA-associated competing endogenous RNA network in tongue squamous cell carcinoma. PeerJ. 2019;7:e6397. doi:10.7717/peerj.6397
   PubMed Web of Science ®Google Scholar
• Yip KW, Reed JC. Bcl-2 family proteins and cancer. Oncogene. 2008;27(50):6398–6406. doi:10.1038/onc.2008.307
   PubMed Web of Science ®Google Scholar
• Li Q, Liang X, Wang Y, et al. miR-139-5p inhibits the epithelial-mesenchymal transition and enhances the chemotherapeutic sensitivity of colorectal cancer cells by downregulating BCL2. Sci Rep. 2016;6:27157. doi:10.1038/srep27157
   PubMed Web of Science ®Google Scholar
• Ahmad AA, Draves SO, Rosca M. Mitochondria in diabetic kidney disease. Cells. 2021;10:11.
   Web of Science ®Google Scholar
• Czajka A, Malik AN. Hyperglycemia induced damage to mitochondrial respiration in renal mesangial and tubular cells: implications for diabetic nephropathy. Redox Biol. 2016;10:100–107. doi:10.1016/j.redox.2016.09.007
   PubMed Web of Science ®Google Scholar
• Leblanc M, Kellum JA, Gibney RT, Lieberthal W, Tumlin J, Mehta R. Risk factors for acute renal failure: inherent and modifiable risks. Curr Opin Crit Care. 2005;11(6):533–536. doi:10.1097/01.ccx.0000183666.54717.3d
   PubMed Web of Science ®Google Scholar
• James MT, Grams ME, Woodward M, et al. A meta-analysis of the association of estimated GFR, albuminuria, diabetes mellitus, and hypertension with acute kidney injury. Am J Kidney Dis. 2015;66(4):602–612. doi:10.1053/j.ajkd.2015.02.338
   PubMed Web of Science ®Google Scholar
• Brezis M, Rosen S. Hypoxia of the renal medulla--its implications for disease. N Engl J Med. 1995;332(10):647–655. doi:10.1056/nejm199503093321006
   PubMed Web of Science ®Google Scholar
• Beck LH, Bonegio RG, Lambeau G, et al. M-type phospholipase A2 receptor as target antigen in idiopathic membranous nephropathy. N Engl J Med. 2009;361(1):11–21. doi:10.1056/NEJMoa0810457
   PubMed Web of Science ®Google Scholar
• Zhang H, Zhu Y, Hu Z, Liu Q. Serum anti-phospholipase A2 receptor antibody in pathological diagnosis of type 2 diabetes mellitus patients with proteinuria. Sci Rep. 2023;13(1):16608. doi:10.1038/s41598-023-43766-8
   PubMed Web of Science ®Google Scholar