The association and prediction value of acylcarnitine on diabetic nephropathy in Chinese patients with type 2 diabetes mellitus

[11] Gregg EW(2016)Zhu Z. A dried blood spot mass spectrometry metabolomic approach for rapid breast cancer detection Onco Targets Ther 9 1389-21

[12] Lin YC(2016)Psychometric properties of the AHRQ Community Pharmacy Survey on Patient Safety Culture: a factor analysis BMJ Qual Saf 25 355-70

[13] Chang YH(2014)On exploratory factor analysis: a review of recent evidence, an assessment of current practice, and recommendations for future use Int J Nurs Stud 51 511-206

[14] Yang SY(2020)Fang ZZ,Cao YF. The Association between acylcarnitine metabolites and Cardiovascular Disease in chinese patients with type 2 diabetes Mellitus Front Endocrinol (Lausanne) 11 212-80

[15] Wu KD(2013)Serum levels of acylcarnitines are altered in prediabetic conditions PLoS ONE 8 e82459-9

[16] Chu TS(2016)Early prediction of developing type 2 diabetes by plasma acylcarnitines: a Population-Based study Diabetes Care 39 1563-61

[17] Macisaac RJ(2012)Kottgen A,Meisinger C. serum metabolite concentrations and decreased GFR in the general population Am J Kidney Dis 60 197-90

[18] Ekinci EI(2017)Profiling of plasma metabolites suggests altered mitochondrial fuel usage and remodeling of Sphingolipid metabolism in individuals with type 2 diabetes and kidney disease Kidney Int Rep 2 470-99

[19] Jerums G(2021)Mass spectrometry with derivatization method for concurrent measurement of amino acids and acylcarnitines in plasma of diabetic type 2 patients with diabetic nephropathy J Diabetes Metab Disord 20 591-84

[20] McCoin CS(2018),Del Bosque-Plata L. optimization of kidney dysfunction prediction in diabetic kidney disease using targeted metabolomics Acta Diabetol 55 1151-56

[11] Gregg EW(2016)Zhu Z. A dried blood spot mass spectrometry metabolomic approach for rapid breast cancer detection Onco Targets Ther 9 1389-21

[12] Lin YC(2016)Psychometric properties of the AHRQ Community Pharmacy Survey on Patient Safety Culture: a factor analysis BMJ Qual Saf 25 355-70

[13] Chang YH(2014)On exploratory factor analysis: a review of recent evidence, an assessment of current practice, and recommendations for future use Int J Nurs Stud 51 511-206

[14] Yang SY(2020)Fang ZZ,Cao YF. The Association between acylcarnitine metabolites and Cardiovascular Disease in chinese patients with type 2 diabetes Mellitus Front Endocrinol (Lausanne) 11 212-80

[15] Wu KD(2013)Serum levels of acylcarnitines are altered in prediabetic conditions PLoS ONE 8 e82459-9

[16] Chu TS(2016)Early prediction of developing type 2 diabetes by plasma acylcarnitines: a Population-Based study Diabetes Care 39 1563-61

[17] Macisaac RJ(2012)Kottgen A,Meisinger C. serum metabolite concentrations and decreased GFR in the general population Am J Kidney Dis 60 197-90

[18] Ekinci EI(2017)Profiling of plasma metabolites suggests altered mitochondrial fuel usage and remodeling of Sphingolipid metabolism in individuals with type 2 diabetes and kidney disease Kidney Int Rep 2 470-99

[19] Jerums G(2021)Mass spectrometry with derivatization method for concurrent measurement of amino acids and acylcarnitines in plasma of diabetic type 2 patients with diabetic nephropathy J Diabetes Metab Disord 20 591-84

[20] McCoin CS(2018),Del Bosque-Plata L. optimization of kidney dysfunction prediction in diabetic kidney disease using targeted metabolomics Acta Diabetol 55 1151-56