HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Increased bone resorption during tenofovir plus lopinavir/ritonavir therapy in Chinese individuals with HIV.

AbstractUNLABELLED:
We sought to evaluate the effects of antiretroviral therapy on skeletal metabolism in Chinese individuals with human immunodeficiency virus. Patients switched to tenofovir/lamivudine + lopinavir/ritonavir after treatment failure had an increase in bone resorption marker levels by nearly 60%, which is greater than the magnitude previously described in non-Chinese populations.
INTRODUCTION:
Few studies have evaluated the effects of antiretroviral therapy on skeletal metabolism in Asian populations infected with human immunodeficiency virus (HIV).
METHODS:
We performed a secondary analysis of bone turnover markers (BTM) at baseline and 2 years in stored plasma samples collected from 2/2009 to 1/2013 as part of a multi-center trial. Two groups were compared: (1) treatment-naïve patients initiated on zidovudine (AZT)/lamivudine (3TC) plus nevirapine (NVP) and (2) patients who failed first-line therapy and were switched to tenofovir (TDF)/3TC plus lopinavir/ritonavir (LPVr). Tests included the bone resorption marker, C-terminal cross-linking telopeptide of type-1 collagen (CTX), and the bone formation marker procollagen type 1 N-terminal propeptide (P1NP).
RESULTS:
In the TDF/3TC + LPVr group, samples were available from 59 patients at baseline and 56 patients at 2 years. Of these, 36 patients had samples available from both time points. In the AZT/3TC + NVP group, plasma samples were analyzed from 82 participants at baseline and of those, 61 had samples at 2 years. Median change over 2 years was greater in the TDF/3TC + LPVr group for both CTX (+0.24 ng/mL, interquartile ranges (IQR) 0.10-0.43 vs. +0.09 ng/mL, IQR -0.03 to 0.18, p = 0.001) and P1NP (+25.5 ng/mL, IQR 2.4-51.3 vs. +7.11 ng/mL, IQR -4.3 to 21.6, p = 0.012). Differences remained after adjusting for potential confounders in the multivariable analysis.
CONCLUSIONS:
Switching to TDF/3TC + LPVr after treatment failure resulted in greater increases in BTMs than initiation with AZT/3TC + NVP in Chinese patients with HIV. Following this change, bone resorption marker levels increased by nearly 60 %, which is greater than the 25-35% increase from baseline described previously in non-Chinese populations. Further studies are warranted to elucidate these findings.
AuthorsE Hsieh, L Fraenkel, W Xia, Y Y Hu, Y Han, K Insogna, M T Yin, J Xie, T Zhu, T Li
JournalOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA (Osteoporos Int) Vol. 26 Issue 3 Pg. 1035-44 (Mar 2015) ISSN: 1433-2965 [Electronic] England
PMID25224293 (Publication Type: Clinical Trial, Journal Article, Multicenter Study, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
Chemical References
  • Anti-HIV Agents
  • Biomarkers
  • Collagen Type I
  • Drug Combinations
  • Peptides
  • collagen type I trimeric cross-linked peptide
  • lopinavir-ritonavir drug combination
  • Lopinavir
  • Tenofovir
  • Ritonavir
Topics
  • Adolescent
  • Adult
  • Aged
  • Anti-HIV Agents (adverse effects, therapeutic use)
  • Biomarkers (blood)
  • Bone Remodeling (drug effects)
  • Bone Resorption (blood, chemically induced)
  • Collagen Type I (blood)
  • Drug Combinations
  • Drug Substitution
  • Drug Therapy, Combination
  • Female
  • HIV Infections (blood, drug therapy)
  • HIV-1
  • Humans
  • Lopinavir (adverse effects, therapeutic use)
  • Male
  • Middle Aged
  • Peptides (blood)
  • Ritonavir (adverse effects, therapeutic use)
  • Tenofovir (adverse effects, therapeutic use)
  • Young Adult

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: