Monitoring of Bone Resorption after Renal Transplantation by Measuring the Urinary Excretion of Pyridinium Cross-Links

Withold, Wolfgang; Degenhardt, Stefan; Heins, M.; Grabensee, B; Reinauer, H.

doi:10.1515/cclm.1995.33.1.15

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…Interestingly no correlation was found between bone alkaline phosphatase mass concentrations in serum and the urinary excretion of pyridinium cross-links. This is in contrast to previous findings of our group, as well as others, in patients with primary (17) or secondary (18) hyperparathyroidism and bone metaStases (19,20), indicating that in patients after bone marrow transplantation different influencing factors may affect bone formation and resorption, respectively.…”

Section: Discussioncontrasting

confidence: 99%

Relationship between Bone Metabolism and Plasma Cytokine Levels in Patients at Risk of Post-Transplantation Bone Disease after Bone Marrow Transplantation

Withold

Wolf²,

Kollbach³

et al. 1996

CCLM

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Summary:Bone marrow transplant recipients may carry an increased risk of bone diseases, involving numerous factors that affect bone mineral metabolism. Interleukin-6 is a potent stimulator of bone resorption in vivo. The soluble fraction of interleukin-6 receptor is reported to trigger osteoclast formation by interleukin-6 in vitro.In a cross-sectional study we measured serum bone alkaline phosphatase concentrations and the urinary excretion of pyridinium cross-links in 21 patients after bone marrow transplantation, and investigated the relationship between these values and those for the plasma levels of interleukin-6 and soluble interleukin-6 receptor.Following bone marrow transplantation female -but not male -patients showed higher serum bone alkaline phosphatase values than age-and sex-adjusted controls (p < 0.05). Both female and male patients were characterized by increased urinary excretion values of pyridinium cross-links (p < 0.05). In contrast to a marked increase of interleukin-6 plasma levels (p < 0.001) no significant difference in the soluble interleukin-6 receptor levels was found between patients and apparently healthy persons (p = 0.838). Multiple regression analysis (taking into account different variables of the immunosuppressive regimen applied) revealed the plasma concentration of interleukin-6 as an independent predictor of the urinary excretion of pyridinium cross-links (p < 0.05).In conclusion, in patients following bone marrow transplantation, these findings indicate (a) an increase of bone formation in female -but not in male -patients possibly reflecting primary ovarian failure and (b) an enhancement of bone resorption possibly mediated by circulating interleukin-6.

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Section: Discussioncontrasting

confidence: 99%

Relationship between Bone Metabolism and Plasma Cytokine Levels in Patients at Risk of Post-Transplantation Bone Disease after Bone Marrow Transplantation

Withold

Wolf²,

Kollbach³

et al. 1996

CCLM

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“…Bei einem Teil der Patienten finden sich aber auch, möglicherweise Cyclosporin-vermittelt, persistierend erhöhte Werte der alkalischen Phosphatase [80,149]. Wenige Wochen post-OP kommt es als Ausdruck einer gesteigerten Knochenresorption zu einem graduellen Anstieg der Crosslinks-Ausscheidung im Urin [150].…”

Section: Bone Sialoproteinunclassified

Biochemische Marker des Knochenstoffwechsels bei sekundären Osteopathien

Woitge¹,

Fohr²,

Seibel³

2001

Akt Rheumatol

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DIAGNOSTIK nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn n Zusammenfassung. Die Quantifizierung biochemischer Marker des Knochenstoffwechsels hat in den letzten Jahren die Möglichkeiten der Diagnose und Verlaufskontrolle metabolischer Osteopathien deutlich verbessert. Die Entwicklung von Nachweismethoden zur Bestimmung osteotroper Parameter unterschiedlicher Herkunft, biochemischer Struktur und Funktion hat unser Verständnis von Matrixzusammensetzung, physiologischen Knochenstoffwechselprozessen und den pathophysiologischen Vorgängen bei der Entwicklung primärer und sekundärer Osteopathien erweitert. Die vorliegende Arbeit gibt zunächst einen Überblick über die wichtigsten, heute zur Verfügung stehenden biochemischen Marker des Knochenstoffwechsels. Anschlieûend werden neueste Untersuchungsergebnisse und klinische Wertigkeit der Bestimmung dieser Substanzen bei den häufigsten sekundären Osteopathien zusammengefasst. Biochemical Markers of Bone Turnover in SecondaryOsteopathies. During recent years, diagnosis and monitoring of metabolic bone diseases have been markedly improved by the quantification of biochemical markers of bone turnover. The development of new analytical methods to detect osteotropic parameters with different skeletal origin, biochemical structure and function has increased our knowledge of bone matrix composition and the physiologic regulation of bone turnover, as well as of pathophysiologic mechanisms that may lead to the development of primary and secondary metabolic bone diseases. The present work gives an overview of the most commonly used biochemical markers of bone turnover, followed by an update of current clinical applications of these markers in secondary osteopathies with special emphasis on recent research activities.

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“…Such measurements are confounded by their lack of specificity for PTH osseous actions, since both CyA and immunosuppression, in addition to PTH, may determine the overall rate of bone remodeling in this setting. Indeed, increased urinary excretion of pyridinium cross-links were observed at three months following renal transplantation that correlated with bone alkaline phosphatase but not with circulating parathyroid hormone concentrations (13). Therefore, circulating intact PTH is the best noninvasive way to assess the presence and severity of hyperparathyroidism.…”

Section: Persistent Hyperparathyroidismmentioning

confidence: 99%

“…It is unclear whether osteopenia itself is an independent risk factor for osteonecrosis. There is some evidence to support a role for preexisting hyperparathyroidism in the development of osteonecrosis (13,14). Diabetes mellitus may be another factor.…”

Section: Osteonecrosismentioning

confidence: 99%