Evidence map›Paper›PMID 37587846›Full record

ArticleNeurourology and urodynamics2023

Temporally complex inflammatory networks in an animal model reveal signatures for interstitial cystitis and bladder pain syndrome phenotype.

Ashti M Shah, Yoram Vodovotz, Naoki Yoshimura, Christopher J Chermansky, Jocelyn Fitzgerald, Pradeep Tyagi

Open access · greenAbstract read
In one paragraph

Article in Neurourology and urodynamics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Ashti M ShahUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-8990-9509
Yoram VodovotzDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Naoki YoshimuraDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-8070-1664
Christopher J ChermanskyDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-9444-4662
Jocelyn FitzgeraldDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Pradeep TyagiDepartment of Urology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh · US

Funding

Phenotyping Interstitial Cystitis/Bladder Pain Syndrome by ICE-MRI Based Bladder Permeability AssayR44DK108397 · NIDDK · LIPELLA PHARMACEUTICALS, INC. · PI KAUFMAN, JONATHAN H · 2022 to 2023
$1.4M
Measuring Bladder Permeability with MRI Using a Novel Contrast Agent FormulationR42DK108397 · NIDDK · LIPELLA PHARMACEUTICALS, INC. · PI KAUFMAN, JONATHAN H · 2018 to 2019
$1.2M
Proteomic Characterization of IC BladderR01DK066138 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TYAGI, PRADEEP · 2003 to 2006
$1.2M
Measuring Bladder Permeability with MRI using a Novel Contrast Agent FormulationR41DK108397 · NIDDK · LIPELLA PHARMACEUTICALS, INC. · PI KAUFMAN, JONATHAN H · 2015 to 2015
$225k
NIDDK NIH HHS R01 DK066138NIDDK NIH HHS R41 DK108397NIDDK NIH HHS R42 DK108397NIDDK NIH HHS R44 DK108397
6 · The paper itself

Abstract

INTRODUCTION AND

objectiveInterstitial cystitis and bladder pain syndrome (IC/BPS) presents with symptoms of debilitating bladder pain and is typically a diagnosis of exclusion. The cystoscopic detection of Hunner's lesions increases the likelihood of detecting tissue inflammation on bladder biopsy and increases the odds of therapeutic success with anti-inflammatory drugs. However, the identification of this subgroup remains challenging with the current lack of surrogate biomarkers of IC/BPS. On the path towards identifying biomarkers of IC/BPS, we modeled the dynamic evolution of inflammation in an experimental IC/BPS rodent model using computational biological network analysis of inflammatory mediators (cytokines and chemokines) released into urine. The use of biological network analysis allows us to identify urinary proteins that could be drivers of inflammation and could therefore serve as therapeutic targets for the treatment of IC/BPS.

methodsRats subjected to cyclophosphamide (CYP) injection (150 mg/kg) were used as an experimental model for acute IC/BPS (n = 8). Urine from each void was collected from the rats over a 12-h period and was assayed for 13 inflammatory mediators using Luminex™. Time-interval principal component analysis (TI-PCA) and dynamic network analysis (DyNA), two biological network algorithms, were used to identify biomarkers of inflammation characteristic of IC/BPS over time.

resultsCompared to vehicle-treated rats, nearly all inflammatory mediators were elevated significantly (p < 0.05) in the urine of CYP treated rats. TI-PCA highlighted that GRO-KC, IL-5, IL-18, and MCP-1 account for the greatest variance in the inflammatory response. At early time points, DyNA indicated a positive correlation between IL-4 and IL-1β and between TNF-α and IL-1β. Analysis of TI-PCA and DyNA at later time points showed the emergence of IL-5, IL-6, and IFNγ as additional key mediators of inflammation. Furthermore, DyNA network complexity rose and fell before peaking at 9.5 h following CYP treatment. This pattern of inflammation may mimic the fluctuating severity of inflammation associated with IC/BPS flares.

conclusionsComputational analysis of inflammation networks in experimental IC/BPS analysis expands on the previously accepted inflammatory signatures of IC by adding IL-5, IL-18, and MCP-1 to the prior studies implicating IL-6 and GRO as IC/BPS biomarkers. This analysis supports a complex evolution of inflammatory networks suggestive of the rise and fall of inflammation characteristic of IC/BPS flares.

Indexed as

Cystitis, InterstitialAnimalsBiomarkersInflammationInflammation MediatorsInterleukin-18Interleukin-5Interleukin-6Models, AnimalPhenotypeRatsBiomarkersInflammation MediatorsInterleukin-18Interleukin-5Interleukin-6biological network analysisinflammationinterstitial cystitis and bladder pain syndrome

Identifiers

PMID37587846
PMCPMC10615708
OpenAlexW4385897632

What OpenQuestion holds

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LicenceTDM
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.