Evidence map›Paper›PMID 36291691›Full record

ArticleBiomolecules2022

Effects of One-Year Tofacitinib Therapy on Lipids and Adipokines in Association with Vascular Pathophysiology in Rheumatoid Arthritis.

Monika Czókolyová, Attila Hamar, Anita Pusztai, Gábor Tajti, Edit Végh, Zsófia Pethő, Nóra Bodnár, Ágnes Horváth, Boglárka Soós, Szilvia Szamosi and 12 more

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  12. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 2 institutions in 2 countries.

Monika CzókolyováDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Attila HamarDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Anita PusztaiDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Gábor TajtiDepartment of Biophysics and Cell Biology, University of Debrecen, 4032 Debrecen, Hungary.
Edit VéghDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Zsófia PethőDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Nóra BodnárDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Ágnes HorváthDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Boglárka SoósDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Szilvia SzamosiDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Anita SzentpéteriDivision of Metabolic Diseases, University of Debrecen, 4032 Debrecen, Hungary.
Ildikó SeresDivision of Metabolic Diseases, University of Debrecen, 4032 Debrecen, Hungary.
Mariann HarangiDivision of Metabolic Diseases, University of Debrecen, 4032 Debrecen, Hungary.
György ParaghDivision of Metabolic Diseases, University of Debrecen, 4032 Debrecen, Hungary.
György KerekesIntensive Care Unit, Department of Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Levente BodokiDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Andrea DomjánDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Katalin HodosiDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.
Tamás SeresDepartment of Anesthesiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0002-8623-8217
György PanyiDepartment of Biophysics and Cell Biology, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0001-6227-3301
Zoltán SzekaneczDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-7794-6844
Gabriella SzűcsDepartment of Rheumatology, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-0958-9531
University of Debrecen · HUUniversity of Colorado Anschutz Medical Campus · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular (CV) morbidity, mortality and metabolic syndrome are associated with rheumatoid arthritis (RA). A recent trial has suggested increased risk of major CV events (MACE) upon the Janus kinase (JAK) inhibitor tofacitinib compared with anti-tumor necrosis factor α (TNF-α) therapy. In our study, we evaluated lipids and other metabolic markers in relation to vascular function and clinical markers in RA patients undergoing one-year tofacitinib therapy. Patients and methods: Thirty RA patients treated with either 5 mg or 10 mg bid tofacitinib were included in a 12-month follow-up study. Various lipids, paraoxonase (PON1), myeloperoxidase (MPO), thrombospondin-1 (TSP-1) and adipokine levels, such as adiponectin, leptin, resistin, adipsin and chemerin were determined. In order to assess flow-mediated vasodilation (FMD), common carotid intima-media thickness (IMT) and arterial pulse-wave velocity (PWV) ultrasonography were performed. Assessments were carried out at baseline, and 6 and 12 months after initiating treatment. Results: One-year tofacitinib therapy significantly increased TC, HDL, LDL, APOA, APOB, leptin, adipsin and TSP-1, while significantly decreasing Lp(a), chemerin, PON1 and MPO levels. TG, lipid indices (TC/HDL and LDL/HDL), adiponectin and resistin showed no significant changes. Numerous associations were found between lipids, adipokines, clinical markers and IMT, FMD and PWV (p < 0.05). Regression analysis suggested, among others, association of BMI with CRP and PWV (p < 0.05). Adipokines variably correlated with age, BMI, CRP, CCP, FMD, IMT and PWV, while MPO, PON1 and TSP-1 variably correlated with age, disease duration, BMI, RF and PWV (p < 0.05). Conclusions: JAK inhibition by tofacitinib exerts balanced effects on lipids and other metabolic markers in RA. Various correlations may exist between metabolic, clinical parameters and vascular pathophysiology during tofacitinib treatment. Complex assessment of lipids, metabolic factors together with clinical parameters and vascular pathophysiology may be utilized in clinical practice to determine and monitor the CV status of patients in relation with clinical response to JAK inhibition.

Indexed as

Arthritis, RheumatoidJanus Kinase InhibitorsAdipokinesAdiponectinApolipoproteins AApolipoproteins BAryldialkylphosphataseBiomarkersCarotid Intima-Media ThicknessComplement Factor DFollow-Up StudiesHumansJanus KinasesLeptinLipidsPeroxidaseAdipokinesAdiponectinApolipoproteins AApolipoproteins BAryldialkylphosphataseBiomarkersComplement Factor DJanus Kinase InhibitorsJanus KinasesLeptinLipidsPeroxidasePiperidinesPON1 protein, humanPyrimidinesResistinThrombospondin 1tofacitinibTumor Necrosis Factor-alphaadipokinesJAK inhibitorslipidsrheumatoid arthritistofacitinib

Identifiers

PMID36291691
PMCPMC9599623
OpenAlexW4306362508

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.