Structural equation modeling highlights the potential of Kim-1 as a biomarker for chronic kidney disease

American Journal of Nephrology

Volumn 35, Issue 2, 2012, Pages 152-163

  Gardiner, Lesley ^a   Akintola, Adebayo ^a   Chen, Gang ^a   Catania, Jeffrey M ^b   Vaidya, Vishal ^c   Burghardt, Robert C ^b   Bonventre, Joseph V ^c   Trzeciakowski, Jerome ^a   Parrish, Alan R ^d  

^a TEXAS A M COLLEGE OF MEDICINE   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

^d University of Missouri   (United States)

Author keywords

Chronic kidney disease; Kidney injury molecule 1; Structural equation modeling

Indexed keywords

KIDNEY INJURY MOLECULE 1;

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; CHRONIC KIDNEY DISEASE; CONTROLLED STUDY; KIDNEY FUNCTION; KIDNEY INJURY; KIDNEY STRUCTURE; MALE; NONHUMAN; PRIORITY JOURNAL; RAT; STRUCTURAL EQUATION MODELING;

AGE FACTORS; ANIMALS; BIOLOGICAL MARKERS; BLOOD UREA NITROGEN; CELL ADHESION MOLECULES; CHRONIC DISEASE; CREATININE; KIDNEY; KIDNEY DISEASES; MALE; MODELS, STATISTICAL; RATS; RATS, INBRED F344; SINGLE-BLIND METHOD;

EID: 84862800795     PISSN: 02508095     EISSN: 14219670     Source Type: Journal    
DOI: 10.1159/000335579     Document Type: Article

References (34)

1. Coresh J, Selvin E, Stevens LA, et al: Prevalence of chronic kidney disease in the United States. JAMA 2007; 298: 2038-2047. (Pubitemid 350074801)
2. Filiopoulos V, Vlassopoulos D: Inflammatory syndrome in chronic kidney disease: Pathogenesis and influence on outcomes. Inflamm Allergy Drug Targets 2009; 8: 369-382.
3. Townsend RR, Felman, HI: Chronic kidney disease: Past problems, current challenges, and future facets. NephSAP 2009; 8: 239-243.
4. Okusa MD, Chertow GM, Portilla D: The nexus of acute kidney injury, chronic kidney disease, and World Kidney Day 2009. Clin J Am Soc Nephrol 2009; 4: 520-522.
5. Brosnahan G, Fraer M: Chronic kidney disease: Whom to screen and how to treat. Part 1: Definition, epidemiology, and laboratory testing. South Med J 2010; 103: 140-146.
6. Berns JS, Fishbane S: Chronic kidney disease and progression. NephSAP 2009; 8: 244-312.
7. Eddy AA, Neilson EG: Chronic kidney disease progression. J Am Soc Nephrol 2006; 17: 2964-2966. (Pubitemid 44707755)
8. Nelson TD, Aylward BS, Steele RG: Structural equation modeling in pediatric psychology: Overview and review of applications. J Pediatr Psychol 2008; 33: 679-687. (Pubitemid 351957519)
9. De Marco G, Vrignaud P, Destrieux C, de Marco D, Testelin S, Devauchelle B, Berquin P: Principle of structural equation modeling for exploring functional interactivity within a putative network of interconnected brain areas. Magn Reson Imaging 2009; 27: 1-12.
10. Collin VT, Violato C, Hecker K: Aptitude, achievement and competence in medicine: A latent variable path model. Adv Health Sci Educ 2009; 14: 355-366.
11. Kline RB: Latent variable path analysis in clinical research: A beginner's tour guide. J Clin Psychol 1991; 47: 471-484.
12. Fisher MA, Taylor GW, West BT, McCarthy ET: Bidirectional relationship between chronic kidney and periodontal disease: A study using structural equation modeling. Kidney Int 2011; 79: 347-355.
13. Corman B, Owen R: Normal development, growth, and aging of the kidney; in Mohr U, Dungworth DL, Capen CC (eds): Pathobiology of Aging Rats. Washington, ILSI Press, 1992, pp 195-209.
14. Chen G, Bridenbaugh EA, Akintola AD, Catania JM, Vaidya VS, Bonventre JV, Dearman AC, Sampson HW, Zawieja DC, Burghardt RC, Parrish AR: Increased susceptibility of aging kidney to ischemic injury: Identification of candidate genes changed during aging, but corrected by caloric restriction. Am J Physiol Renal Physiol 2007; 293:F1272-F1281. (Pubitemid 47583962)
15. Akintola AD, Crislip ZL, Catania JM, Chen G, Zimmer WE, Burghardt RC, Parrish AR: Promoter methylation is associated with the age-dependent loss of N-cadherin in the rat kidney. Am J Physiol Renal Physiol 2008; 294:F170-F176.
16. Stern JS, Gades MD, Wheeldon CM, Borchers AT: Calorie restriction in obesity: Prevention of kidney disease in rodents. J Nutr 2001; 131: 913S-917S. (Pubitemid 32199169)
17. Van Liew JB, Davis FB, Davis PJ, Noble B, Bernards LL: Calorie restriction decreases microalbuminuria associated with aging in barrier-raised Fischer 344 rats. Am J Physiol 1992; 263:F554-F561.
18. Coleman GL, Barthold SW, Osbaldiston GW, Foster SJ, Jonas AM: Pathological changes during aging in barrier-raised Fischer 344 male rats. J Gerontol 1977; 32: 258-278. (Pubitemid 8080951)
19. Vaidya VS, Ramirez V, Ichimura T, Bobadilla NA, Bonventre JV: Urinary kidney injury molecule-1: A sensitive quantitative biomarker for early detection of kidney tubular injury. Am J Physiol Renal Physiol 2006; 290:F517-F529. (Pubitemid 43725006)
20. Schreiber JB: Core reporting practices in structural equation modeling. Res Social Adm Pharm 2009; 4: 83-97.
21. Fukuda M, Motokawa M, Miyagi S, Sengo K, Muramatsu W, Kato N, Usami T, Yoshida A, Kimura G: Polynocturia in chronic kidney disease is related to natriuresis rather than to water diuresis. Nephrol Dial Transplant 2006; 21: 2172-2177. (Pubitemid 44295042)
22. Steiger JH, Lind JC: Statistically Based Test for the Number of Common Factors. Psychometric Society Annual Meeting, Iowa City 1980.
23. Byrne BM: Structural Equation Modeling with LISREL, PRELIS and SIMPLIS. London, Psychology Press, 1998.
24. Brown MW, Crudeck R: Single sample crossvalidation indices for covariance structures. Multivariate Behav Res 1989; 24: 445-455.
25. Akaike H: Factor analysis and AIC. Psychometrika 1987; 52: 317-332.
26. Bozdogan H: Model selection and Aikaike's information criteria (AIC): The general theory and its analytical extensions. Psychometrika 1987; 52: 345-370.
27. Han WK, Bailly V, Abichandani R, Thadhani R, Bonventre JV: Kidney injury molecule-1 (Kim-1): A novel biomarker for human renal proximal tubule injury. Kidney Int 2002; 62: 237-244. (Pubitemid 34754067)
28. Peters HP, Waanders F, Meier E, van den Brand J, Steenbergen EJ, van Goor H, Wetzels JF: High urinary excretion of kidney injury molecule-1 is an independent predictor of end-stage renal disease in patients with IgA nephropathy. Nephrol Dial Transplant 2011; 26: 3581-3588.
29. Xu PC, Zhang JJ, Chen M, Lv JC, Liu G, Zou WZ, Zhang H, Zhao MH: Urinary kidney injury molecule-1 in patients with IgA nephropathy is closely associated with disease severity. Nephrol Dial Transplant 2011; 26: 3229-3236.
30. Wasilewska A, Taranta-Janusz K: Kim-1 and NGAL: New markers of obstructive nephropathy. Pediatr Nephrol 2011; 26: 579-586.
31. Waanders F, Vaidya VS, van Goor H, Leuvenink H, Damman K, Hamming I, Bonventre JV, Vogt L, Navis G: Effect of renin-angiotensin-aldosterone system inhibition, dietary sodium restriction, and/or diuretics on urinary kidney disease: A post hoc analysis of a randomized controlled trial. Am J Kidney Dis 2009; 53: 16-25.
32. Ko GJ, Grigoryev DN, Linfert D, Jang HR, Watkins T, Cheadle C, Rascusen L, Rabb H: Transcriptional analysis of kidneys during repair from AKI reveals possible roles for NGAL and Kim-1 as biomarkers of AKI-to-CKD transition. Am J Physiol Renal Physiol 2010; 298:F1472-F1483.
33. Refaie R, Moochhala SH, Kanagasundram NS: How we estimate GFR -A pitfall of using a serum creatinine-based formula. Clin Nephrol 2007; 68: 235-237. (Pubitemid 47527444)
34. Tonelli M, Manns B: Supplementing creatinine-based estimates of risk in chronic kidney disease: Is it time? JAMA 2011; 305: 1593-1595.