Abstract | AIMS: METHODS: Serum levels of tHCy, MMA, MCA and CYSTA were measured by a gas chromatographic-mass spectrometric assay, pentosidine by HPLC and CML using an ELISA assay. RESULTS: All measured parameters were significantly higher in RTRs than in healthy subjects (p < 0.0001). The levels of pentosidine and CML as well as of tHcy and its metabolites correlated significantly with each other, but not with those ofMMA and CYSTA. Significant correlations were also found between pentosidine and tHcy, MMA or MCA as well as between CML, MMA and MCA, respectively. Acute or chronic rejection did not influence these values. No significant differences were observed between patients with or without CVD or with hypertension. In RTRs with LVH, only the tHcy levels were significantly higher than in those RTRs without LVH (p = 0.006). Logistic regression analysis revealed an independent influence of tHcy on the presence of LVH. CONCLUSION: These results may indicate an association between high tHcy values and LVH. Further investigation is needed to determine whether a reduction of tHcy and Hcy metabolites and/or AGE serum concentrations would significantly improve patient outcome after undergoing renal transplantation.
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Authors | S Franke, A Müller, M Sommer, M Busch, R Kientsch-Engel, G Stein |
Journal | Clinical nephrology
(Clin Nephrol)
Vol. 59
Issue 2
Pg. 88-97
(Feb 2003)
ISSN: 0301-0430 [Print] Germany |
PMID | 12608551
(Publication Type: Journal Article)
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Chemical References |
- Glycation End Products, Advanced
- Homocysteine
- Cystathionine
- Methylmalonic Acid
- Arginine
- pentosidine
- Lysine
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Topics |
- Adult
- Arginine
(analogs & derivatives, blood)
- Coronary Disease
(blood)
- Cystathionine
(blood)
- Female
- Glycation End Products, Advanced
(blood)
- Homocysteine
(blood)
- Humans
- Hypertrophy, Left Ventricular
(blood)
- Kidney Failure, Chronic
(blood, surgery)
- Kidney Transplantation
(physiology)
- Logistic Models
- Lysine
(analogs & derivatives, blood)
- Male
- Methylmalonic Acid
(blood)
- Middle Aged
- Risk Factors
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