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Am J Nephrol. 2000 Jul-Aug;20(4):255-62.

Insulin-like growth factor I correlates with protein intake estimated from the normalized protein catabolic rate in hemodialysis patients.

Author information

1
Department of Endocrinology and Diabetology, Karolinska Hospital, Stockholm, Sweden. bjorn.lindgren@fresenius-kabi.com

Abstract

BACKGROUND/AIM:

Malnutrition and catabolism are predominant problems in patients undergoing hemodialysis. The aim of this study was to clarify the relationship between insulin-like growth factor I (IGF-I), the serum levels of which are influenced by nutrition and which by itself promotes amino acid uptake, and insulin-like growth factor binding protein 1 (IGFBP-1), known to regulate serum (s) IGF-I and protein intake, in end-stage renal disease patients.

METHODS:

Thirty hemodialysis patients were studied, and s-IGF-I and s-IGFBP-1 levels were measured by radioimmunoassay. The s-IGF-I method used was validated according to a reference method. The s-IGF-I standard deviation (SD) score was calculated, giving the individual deviation from the mean of a reference population. The protein intake was estimated both directly by 3-day food recall by a dietician and indirectly by normalized protein catabolic rate (PCRn).

RESULTS:

The mean serum IGF-I level was 166 +/- 10 microgr;g/l, corresponding to a normal s-IGF-I SD score (0.5 +/- 0.3). S-IGFBP-1 was elevated threefold to 101 +/- 11 microg/l as compared with normal subjects. The s-albumin was 39.9 +/- 0.5 g/l and the s-bicarbonate 24 +/- 0.4 mmol/l. There were significant correlations between s-IGF-I SD score or s-IGF-I (log-transformed) and PCRn (r = 0.37, p < 0.004, and r = 0.41, p < 0.001, respectively). The s-IGF-I/s-IGFBP-1 ratio was also positively correlated with PCRn (r(s) = 0.36, p < 0.007, by Spearman's rank correlation). The s-albumin was inversely correlated with log s-IGFBP-1 (r = -0.38, p < 0.01) and positively with the s-IGF-I/s-IGFBP-1 ratio (r = 0.36, p < 0.007) but not with s-IGF-I (p < 0.13). Serum total cholesterol, triglycerides, and total body fat as percentage of body weight correlated with s-IGF-I (r = 0.47, p < 0.004, r = 0.45, p < 0.01, and r = 0.42, p < 0.004, respectively) as well as with the s-IGF-I SD score. No correlations were seen between s-IGF-I and protein or caloric intake by direct estimates from dietary food recalls.

CONCLUSIONS:

The s-IGF-I and the s-IGF-I/s-IGFBP-1 ratio were correlated with estimates of protein intake of the patients calculated from urea kinetics (PCRn) but not with direct estimates by the dietitian. The s-IGF-I SD score and the ratio s-IGF-I/s-IGFBP-1 might be a tool to monitor anabolic status and to select hemodialysis patients for therapeutic intervention with recombinant human IGF-I and/or recombinant human growth hormone to counteract catabolism.

PMID:
10970976
DOI:
10.1159/000013597
[Indexed for MEDLINE]

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