Osteonecrosis in Gaucher Disease in the era of multiple therapies: biomarker set for risk stratification from a tertiary referral center

  1. Mohsen Basiri
  2. Mohammad E Ghaffari
  3. Jiapeng Ruan
  4. Vagishwari Murugesan
  5. Nathaniel Kleytman
  6. Glenn Belinsky
  7. Amir Akhavan
  8. Andrew Lischuk
  9. Lilu Guo
  10. Katherine Klinger
  11. Pramod K Mistry  Is a corresponding author
  1. Yale University, United States
  2. Guilan University of Medical Sciences, Islamic Republic of Iran
  3. University of Toronto, Canada
  4. University of Massachusetts Dartmouth, United States
  5. Sanofi, United States

Abstract

Background: A salutary effect of treatments for Gaucher disease (GD) has been reduction in the incidence of avascular osteonecrosis (AVN). However, there are reports of AVN in patients receiving enzyme replacement therapy (ERT), and it is not known whether it is related to individual treatments, GBA genotypes, phenotypes, biomarkers of residual disease activity or anti-drug antibodies.

Objective: Prompted by development of AVN in several patients receiving ERT, we aimed to delineate the determinants of AVN in patients receiving ERT or eliglustat substrate reduction therapy (SRT) during 20 years in a tertiary referral center.

Methods: Longitudinal follow-ups of 155 GD patients between 2001 and 2021, were analyzed for episodes of AVN on therapy, type of therapy, GBA1 genotype, spleen status, biomarkers, and other disease indicators. We applied mixed-effects logistic model to delineate the independent correlates of AVN while receiving treatment.

Results: The patients received cumulative 1382 years of treatment. There were 16 episodes of AVN in 14 patients, with two episodes, each occurring in two patients. Heteroallelic p.Asn409Ser GD1 patients were 10 times (95% CI,1.5 - 67.2) more likely than p.Asn409Ser homozygous patients to develop osteonecrosis during treatment. History of AVN prior to treatment initiation was associated with 4.8-fold increased risk of AVN on treatment (95% CI, 1.5-15.2). The risk of AVN among patients receiving velaglucerase ERT was 4.68 times higher compared to patients receiving imiglucerase ERT (95% CI,1.67-13). No patient receiving eliglustat SRT suffered AVN. There was a significant correlation between GlcSph levels and AVN. Together, these biomarkers reliably predicted risk of AVN during therapy (ROC AUC 0.894, p<0.001).

Conclusions: There is a low, but significant risk of AVN in GD in the era of ERT/SRT. We found increased risk of AVN was related to GBA genotype, history of AVN prior to treatment initiation, residual serum GlcSph level, and the type of ERT. No patient receiving SRT developed AVN. These findings exemplify a new approach to biomarker applications in a rare inborn error of metabolism to evaluate clinical outcomes in comprehensively followed patients and will aid identification of GD patients at higher risk of AVN who will benefit from closer monitoring and treatment optimization.

Funding: LSD Training Fellowship from Sanofi to MB.

Data availability

This observational study is approved by Yale University IRB and each patient provided informed consent. The patients have not provided consent to sharing their data with other investigators. Interested academic, non-commercial researchers can contact the Senior Corresponding author, Dr Pramod Mistry at Pramod.mistry@yale.edu to discuss the request to access original data. They do not need to apply or submit a project proposal. All statistical analyses were performed with SPSS version 28 (SPSS Inc., Chicago, IL, USA). MedCalc version 20.026 was used for ROC curve analysis and graphs were plotted by GraphPad Prism version 9.3.1.We do not have consent to share individual patient data. Even de-identified data risks identification through age and GBA genotype information, thus violating HIPPA patient confidentiality. Upon request to the Senior Corresponding author, the PI, we will share processed version of datasets.

Article and author information

Author details

  1. Mohsen Basiri

    Department of Internal Medicine, Yale University, New Haven, United States
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9592-4059
  2. Mohammad E Ghaffari

    Department of ENT, Head and Neck Surgery, Guilan University of Medical Sciences, Rasht, Islamic Republic of Iran
    Competing interests
    No competing interests declared.
  3. Jiapeng Ruan

    Department of Internal Medicine, Yale University, New Haven, United States
    Competing interests
    No competing interests declared.
  4. Vagishwari Murugesan

    Department of Rheumatology, University of Toronto, Toronto, Canada
    Competing interests
    No competing interests declared.
  5. Nathaniel Kleytman

    Department of Internal Medicine, Yale University, New Haven, United States
    Competing interests
    No competing interests declared.
  6. Glenn Belinsky

    Department of Internal Medicine, Yale University, New Haven, United States
    Competing interests
    No competing interests declared.
  7. Amir Akhavan

    Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, United States
    Competing interests
    No competing interests declared.
  8. Andrew Lischuk

    Department of Radiology and Biomedical Imaging, Yale University, New Haven, United States
    Competing interests
    No competing interests declared.
  9. Lilu Guo

    Translational Sciences, Sanofi, Cambridge, United States
    Competing interests
    Lilu Guo, is an employee of Sanofi and may hold stocks..
  10. Katherine Klinger

    Translational Sciences, Sanofi, Framingham, United States
    Competing interests
    Katherine Klinger, is an employee of Sanofi and may hold stocks..
  11. Pramod K Mistry

    Department of Radiology and Biomedical Imaging, Yale University, New Haven, United States
    For correspondence
    pramod.mistry@yale.edu
    Competing interests
    Pramod K Mistry, Reviewing editor, eLifePKM receives a research grant from Sanofi and has received travel support from Sanofi..
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3447-6421

Funding

Sanofi Genzyme (LSD Training Fellowship from Sanofi to MB)

  • Mohsen Basiri

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Jameel Iqbal, DaVita Labs, United States

Ethics

Human subjects: All participants were enrolled in our observational studies approved by Yale's IRB. Patients also were provided with verbal explanations and their data were collected after signing consent forms.HIC#0209021074HIC#1005006783

Version history

  1. Received: March 8, 2023
  2. Preprint posted: March 27, 2023 (view preprint)
  3. Accepted: May 22, 2023
  4. Accepted Manuscript published: May 30, 2023 (version 1)
  5. Version of Record published: July 3, 2023 (version 2)

Copyright

© 2023, Basiri et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 997
    views
  • 210
    downloads
  • 1
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Mohsen Basiri
  2. Mohammad E Ghaffari
  3. Jiapeng Ruan
  4. Vagishwari Murugesan
  5. Nathaniel Kleytman
  6. Glenn Belinsky
  7. Amir Akhavan
  8. Andrew Lischuk
  9. Lilu Guo
  10. Katherine Klinger
  11. Pramod K Mistry
(2023)
Osteonecrosis in Gaucher Disease in the era of multiple therapies: biomarker set for risk stratification from a tertiary referral center
eLife 12:e87537.
https://doi.org/10.7554/eLife.87537

Share this article

https://doi.org/10.7554/eLife.87537

Further reading

    1. Medicine
    2. Microbiology and Infectious Disease
    Yi-Shin Chang, Kai Huang ... David L Perkins
    Research Article

    Background:

    End-stage renal disease (ESRD) patients experience immune compromise characterized by complex alterations of both innate and adaptive immunity, and results in higher susceptibility to infection and lower response to vaccination. This immune compromise, coupled with greater risk of exposure to infectious disease at hemodialysis (HD) centers, underscores the need for examination of the immune response to the COVID-19 mRNA-based vaccines.

    Methods:

    The immune response to the COVID-19 BNT162b2 mRNA vaccine was assessed in 20 HD patients and cohort-matched controls. RNA sequencing of peripheral blood mononuclear cells was performed longitudinally before and after each vaccination dose for a total of six time points per subject. Anti-spike antibody levels were quantified prior to the first vaccination dose (V1D0) and 7 d after the second dose (V2D7) using anti-spike IgG titers and antibody neutralization assays. Anti-spike IgG titers were additionally quantified 6 mo after initial vaccination. Clinical history and lab values in HD patients were obtained to identify predictors of vaccination response.

    Results:

    Transcriptomic analyses demonstrated differing time courses of immune responses, with prolonged myeloid cell activity in HD at 1 wk after the first vaccination dose. HD also demonstrated decreased metabolic activity and decreased antigen presentation compared to controls after the second vaccination dose. Anti-spike IgG titers and neutralizing function were substantially elevated in both controls and HD at V2D7, with a small but significant reduction in titers in HD groups (p<0.05). Anti-spike IgG remained elevated above baseline at 6 mo in both subject groups. Anti-spike IgG titers at V2D7 were highly predictive of 6-month titer levels. Transcriptomic biomarkers after the second vaccination dose and clinical biomarkers including ferritin levels were found to be predictive of antibody development.

    Conclusions:

    Overall, we demonstrate differing time courses of immune responses to the BTN162b2 mRNA COVID-19 vaccination in maintenance HD subjects comparable to healthy controls and identify transcriptomic and clinical predictors of anti-spike IgG titers in HD. Analyzing vaccination as an in vivo perturbation, our results warrant further characterization of the immune dysregulation of ESRD.

    Funding:

    F30HD102093, F30HL151182, T32HL144909, R01HL138628. This research has been funded by the University of Illinois at Chicago Center for Clinical and Translational Science (CCTS) award UL1TR002003.

    1. Medicine
    Marco Bergamini, Alberto Dalla Volta ... Alfredo Berruti
    Research Article

    Background:

    Among its extragonadal effects, follicle-stimulating hormone (FSH) has an impact on body composition and bone metabolism. Since androgen deprivation therapy (ADT) has a profound impact on circulating FSH concentrations, this hormone could potentially be implicated in the changes of fat body mass (FBM), lean body mass (LBM), and bone fragility induced by ADT. The objective of this study is to correlate FSH serum levels with body composition parameters, bone mineral density (BMD), and bone turnover markers at baseline conditions and after 12 months of ADT.

    Methods:

    Twenty-nine consecutive non-metastatic prostate cancer (PC) patients were enrolled from 2017 to 2019 in a phase IV study. All patients underwent administration of the luteinizing hormone-releasing hormone antagonist degarelix. FBM, LBM, and BMD were evaluated by dual-energy x-ray absorptiometry at baseline and after 12 months of ADT. FSH, alkaline phosphatase, and C-terminal telopeptide of type I collagen were assessed at baseline and after 6 and 12 months. For outcome measurements and statistical analysis, t-test or sign test and Pearson or Spearman tests for continuous variables were used when indicated.

    Results:

    At baseline conditions, a weak, non-significant, direct relationship was found between FSH serum levels and FBM at arms (r = 0.36) and legs (r = 0.33). Conversely, a stronger correlation was observed between FSH and total FBM (r = 0.52, p = 0.006), fat mass at arms (r = 0.54, p = 0.004), and fat mass at trunk (r = 0.45, p = 0.018) assessed after 12 months. On the other hand, an inverse relationship between serum FSH and appendicular lean mass index/FBM ratio was observed (r = −0.64, p = 0.001). This is an ancillary study of a prospective trial and this is the main limitation.

    Conclusions:

    FSH serum levels after ADT could have an impact on body composition, in particular on FBM. Therefore, FSH could be a promising marker to monitor the risk of sarcopenic obesity and to guide the clinicians in the tailored evaluation of body composition in PC patients undergoing ADT.

    Funding:

    This research was partially funded by Ferring Pharmaceuticals. The funder had no role in design and conduct of the study, collection, management, analysis, and interpretation of the data and in preparation, review, or approval of the manuscript.

    Clinical trial number:

    clinicalTrials.gov NCT03202381, EudraCT Number 2016-004210-10.