Literature DB >> 28711878

Fat Mass Lowers the Response to Tumor Necrosis Factor-α Blockers in Patients with Ankylosing Spondylitis.

Sebastián E Ibáñez Vodnizza1,2, Michael T Nurmohamed1,2, Ingrid M Visman1,2, J Christiaan van Denderen1,2, Willem F Lems1,2, Francisca Jaime1,2, Irene E van der Horst-Bruinsma3,4.   

Abstract

OBJECTIVE: Our main objective was to assess the relationship between body composition (BC) and response to tumor necrosis factor-α (TNF-α) blocker treatment in patients with ankylosing spondylitis (AS). Our secondary objective was to evaluate the change of BC after treatment, accounting for sex and age.
METHODS: All included patients fulfilled the modified New York criteria for AS and were naive to TNF-α blocker. They were followed for at least 6 months after the start of etanercept or adalimumab. The Ankylosing Spondylitis Disease Activity Score containing C-reactive protein (ASDAS-CRP) and the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) were reported. BC was assessed by whole body dual-energy X-ray absorptiometry. Body fat percentage (BF%), fat mass index (FMI), and fat free mass index (FFMI) were reported as absolute values and as percentiles.
RESULTS: Forty-one patients were included (61% men). The median followup was 14.3 months (interquartile range 8.4-19.4). After multivariate regression analysis, more fat at baseline (BF%, FMI, or FMI percentile) was significantly related with a lower chance of achieving a clinically important improvement of the ASDAS-CRP or BASDAI after treatment. The body composition did not change significantly after treatment, but there was a trend toward muscle recovery in men (FFMI change from 34.0th to 37.4th percentile).
CONCLUSION: Higher body fat content at baseline was independently associated with a worse response to treatment with TNF-α blockers, measured by ASDAS-CRP and BASDAI change, and might contribute to the lower response rates in female patients. Also, there is a trend toward muscle mass recovery in male patients after treatment.

Entities:  

Keywords:  ANKYLOSING SPONDYLITIS; BODY COMPOSITION; FAT MASS; MUSCLE; SEX

Mesh:

Substances:

Year:  2017        PMID: 28711878     DOI: 10.3899/jrheum.170094

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  6 in total

1.  Baricitinib in Patients with Rheumatoid Arthritis and an Inadequate Response to Conventional Disease-Modifying Antirheumatic Drugs in United States and Rest of World: A Subset Analysis.

Authors:  Alvin F Wells; Maria Greenwald; John D Bradley; Jahangir Alam; Vipin Arora; Cynthia E Kartman
Journal:  Rheumatol Ther       Date:  2018-04-21

Review 2.  Sexual dimorphism in the prevalence, manifestation and outcomes of axial spondyloarthritis.

Authors:  Rachael Stovall; Irene E van der Horst-Bruinsma; Shao-Hsien Liu; Tamara Rusman; Lianne S Gensler
Journal:  Nat Rev Rheumatol       Date:  2022-09-15       Impact factor: 32.286

Review 3.  Gender Differences in Axial Spondyloarthritis: Women Are Not So Lucky.

Authors:  T Rusman; R F van Vollenhoven; I E van der Horst-Bruinsma
Journal:  Curr Rheumatol Rep       Date:  2018-05-12       Impact factor: 4.592

4.  Significance of measurement of serum trough level and anti-drug antibody of adalimumab as personalised pharmacokinetics in patients with Crohn's disease: a subanalysis of the DIAMOND trial.

Authors:  H Nakase; S Motoya; T Matsumoto; K Watanabe; T Hisamatsu; N Yoshimura; T Ishida; S Kato; T Nakagawa; M Esaki; M Nagahori; T Matsui; Y Naito; T Kanai; Y Suzuki; M Nojima; M Watanabe; T Hibi
Journal:  Aliment Pharmacol Ther       Date:  2017-09-08       Impact factor: 8.171

Review 5.  The Interrelations between Biological and Targeted Synthetic Agents Used in Inflammatory Joint Diseases, and Obesity or Body Composition.

Authors:  Eric Toussirot
Journal:  Metabolites       Date:  2020-03-13

6.  Sex and gender differences in axial spondyloarthritis: myths and truths.

Authors:  Tamara Rusman; Rianne E van Bentum; Irene E van der Horst-Bruinsma
Journal:  Rheumatology (Oxford)       Date:  2020-10-01       Impact factor: 7.580

  6 in total

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