Evidence map›Paper›PMID 38968295›Full record

ArticlePloS one2024

High-throughput micro-CT analysis identifies sex-dependent biomarkers of erosive arthritis in TNF-Tg mice and differential response to anti-TNF therapy.

H Mark Kenney, Kiana L Chen, Lindsay Schnur, Jeffrey I Fox, Ronald W Wood, Lianping Xing, Christopher T Ritchlin, Homaira Rahimi, Edward M Schwarz, Hani A Awad

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

10 authors.

H Mark KenneyCenter for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States of America.ORCID 0000-0002-0598-3232
Kiana L ChenCenter for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States of America.
Lindsay SchnurCenter for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States of America.ORCID 0000-0002-3040-583X
Jeffrey I FoxCenter for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States of America.ORCID 0009-0003-9476-5783
Ronald W WoodCenter for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States of America.ORCID 0000-0002-9691-5111
Lianping XingCenter for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States of America.
Christopher T RitchlinCenter for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States of America.
Homaira RahimiCenter for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States of America.
Edward M SchwarzCenter for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States of America.ORCID 0000-0002-4854-9698
Hani A AwadCenter for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States of America.ORCID 0000-0003-2197-2610

Funding

University of Rochester Mentoring Environment: Nurturing Training Opportunities in Research (UR-MENTOR)T32GM007356 · NIGMS · UNIVERSITY OF ROCHESTER · PI O'BANION, M. KERRY · 1985 to 2023
$15.1M
Rochester Resource-Based Center for Bone, Muscle and Orthopaedic Research (ROCSTARR) (Overall Application)P30AR069655 · NIAMS · UNIVERSITY OF ROCHESTER · PI Edward M. Schwarz · 2016 to 2026
$7.8M
Elucidating the Mechanisms of Arthritic Flare and Developing TreatmentsR01AR056702 · NIAMS · UNIVERSITY OF ROCHESTER · PI SCHWARZ, EDWARD M. · 2009 to 2025
$4.9M
DC-STAMP: Regulator of Osteoclastogenesis and Response Marker in PsAR01AR069000 · NIAMS · UNIVERSITY OF ROCHESTER · PI RITCHLIN, CHRISTOPHER TREVOR · 2016 to 2020
$1.7M
Training in Musculoskeletal Science: Comprehensive Training in Pain StudiesT32AR076950 · NIAMS · UNIVERSITY OF ROCHESTER · PI Hani A Awad, Laura M Calvi · 2020 to 2026
$1.7M
Elucidating the Mechanisms of Lymphatic Muscle Cell Dysfunction in Aging and InflammationF30AG076326 · NIA · UNIVERSITY OF ROCHESTER · PI KENNEY, HOWARD MARK · 2022 to 2023
$98k
NIAMS NIH HHS P30 AR069655NIAMS NIH HHS R01 AR056702NIAMS NIH HHS R01 AR069000NIAMS NIH HHS T32 AR076950NIA NIH HHS F30 AG076326NIGMS NIH HHS T32 GM007356
6 · The paper itself

Abstract

backgroundDevelopment of reliable disease activity biomarkers is critical for diagnostics, prognostics, and novel drug development. Although computed tomography (CT) is the gold-standard for quantification of bone erosions, there are no consensus approaches or rationales for utilization of specific outcome measures of erosive arthritis in complex joints. In the case of preclinical models, such as sexually dimorphic tumor necrosis factor transgenic (TNF-Tg) mice, disease severity is routinely quantified in the ankle through manual segmentation of the talus or small regions of adjacent bones primarily due to the ease in measurement. Herein, we sought to determine the particular hindpaw bones that represent reliable biomarkers of sex-dependent disease progression to guide future investigation and analysis.

methodsHindpaw micro-CT was performed on wild-type (n = 4 male, n = 4 female) and TNF-Tg (n = 4 male, n = 7 female) mice at monthly intervals from 2-5 (females) and 2-8-months (males) of age, since female TNF-Tg mice exhibit early mortality from cardiopulmonary disease at approximately 5-6-months. Further, 8-month-old WT (n = 4) and TNF-Tg males treated with anti-TNF monoclonal antibodies (n = 5) or IgG placebo isotype controls (n = 6) for 6-weeks were imaged with micro-CT every 3-weeks. For image analysis, we utilized our recently developed high-throughput and semi-automated segmentation strategy in Amira software. Synovial and osteoclast histology of ankle joints was quantified using Visiopharm.

resultsFirst, we demonstrated that the accuracy of automated segmentation, determined through analysis of ~9000 individual bones by a single user, was comparable in wild-type and TNF-Tg hindpaws before correction (79.2±8.9% vs 80.1±5.1%, p = 0.52). Compared to other bone compartments, the tarsal region demonstrated a sudden, specific, and significant bone volume reduction in female TNF-Tg mice, but not in males, by 5-months (4-months 4.3± 0.22 vs 5-months 3.4± 0.62 mm3, p<0.05). Specifically, the cuboid showed significantly reduced bone volumes at early timepoints compared to other tarsals (i.e., 4-months: Cuboid -24.1±7.2% vs Talus -9.0±5.9% of 2-month baseline). Additional bones localized to the anterolateral region of the ankle also exhibited dramatic erosions in the tarsal region of females, coinciding with increased synovitis and osteoclasts. In TNF-Tg male mice with severe arthritis, the talus and calcaneus exhibited the most sensitive response to anti-TNF therapy measured by effect size of bone volume change over treatment period.

conclusionsWe demonstrated that sexually dimorphic changes in arthritic hindpaws of TNF-Tg mice are bone-specific, where the cuboid serves as a reliable early biomarker of erosive arthritis in female mice. Adoption of automated segmentation approaches in pre-clinical or clinical models has potential to translate quantitative biomarkers to monitor bone erosions in disease and evaluate therapeutic efficacy.

Indexed as

BiomarkersMice, TransgenicTumor Necrosis Factor-alphaX-Ray MicrotomographyAnimalsDisease Models, AnimalFemaleMaleMiceMice, Inbred C57BLSex CharacteristicsSex FactorsBiomarkersTumor Necrosis Factor-alpha

Identifiers

PMID38968295
PMCPMC11226038

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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.