Evidence map›Paper›PMID 39499914›Full record

ArticleJMIR research protocols2024

Noninvasive, Multimodal Inflammatory Biomarker Discovery for Systemic Inflammation (NOVA Study): Protocol for a Cross-Sectional Study.

Jinjoo Shim, Sinziana Muraru, Rucsandra Dobrota, Elgar Fleisch, Oliver Distler, Filipe Barata

Abstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Jinjoo ShimCentre for Digital Health Interventions, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-0226-7369
Sinziana MuraruDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0009-0004-2896-153X
Rucsandra DobrotaDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-9819-7574
Elgar FleischCentre for Digital Health Interventions, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-4842-1117
Oliver DistlerDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-0546-8310
Filipe BarataCentre for Digital Health Interventions, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-3905-2380

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProlonged systemic inflammation is recognized as a major contributor to the development of various chronic inflammatory diseases. Daily measurements of inflammatory biomarkers can significantly improve disease monitoring of systemic inflammation, thus contributing to reducing the burden on patients and the health care system. There exists, however, no scalable, cost-efficient, and noninvasive biomarker for remote assessment of systemic inflammation. To this end, we propose a novel, multimodal, and noninvasive approach for measuring inflammatory biomarkers.

objectiveThis study aimed to evaluate the relationship between the levels of inflammatory biomarkers in serum (gold standard) and those measured noninvasively in urine, sweat, saliva, exhaled breath, stool, and core body temperature in patients with systemic inflammation.

methodsThis study is a single-center, cross-sectional study and includes a total of 20 participants (10 patients with systemic inflammation and 10 control patients). Eligible participants provide serum, urine, sweat, saliva, exhaled breath, and stool samples for biomarker analyses. Core body temperature is measured using a sensor. The primary end point is the level of C-reactive protein (CRP). The secondary end points are interleukin (IL)-1β, IL-6, IL-8, IL-10, and tumor necrosis factor-α levels. The tertiary end points are fractional exhaled nitric oxide, calprotectin, and core body temperature. Samples will be collected in 2 batches, enabling preliminary analysis of the first batch (patients 1-5 from each group). The full analysis will include both batches. CRP and cytokine levels will be measured using enzyme-linked immunosorbent assay and electrochemiluminescence immunoassay. For statistical analysis, the Shapiro-Wilk test will be used to evaluate the normality of the distribution in each variable. We will perform the 2-tailed t test or Wilcoxon rank sum test to compare the levels of inflammatory biomarkers between patients with systemic inflammations and control patients. Pearson and Spearman correlation coefficients will assess the relationship between inflammatory biomarkers from noninvasive methods and serum biomarkers. Using all-subset regression analysis, we will determine the combination of noninvasive methods yielding the highest predictive accuracy for serum CRP levels. Participants' preferences for sampling methods will be assessed through a questionnaire.

resultsThe study received ethics approval from the independent research ethics committee of Canton Zurich on October 28, 2022. A total of 20 participants participated in the study measurements. Data collection started on February 22, 2023, and was completed on September 22, 2023. Participants were on average 52.8 (SD 14.4; range 24-82) years of age, and 70% (14/20) of them were women. The analysis results reporting findings are expected to be published in 2025.

conclusionsThis study aims to evaluate the feasibility of noninvasive, multimodal assessment of inflammatory biomarkers in patients with systemic inflammation. Promising results could lead to the creation of noninvasive and potentially digital biomarkers for systemic inflammation, enabling continuous monitoring and early diagnosis of inflammatory activity in a remote setting. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/62877.

Indexed as

BiomarkersInflammationAdultBreath TestsC-Reactive ProteinCross-Sectional StudiesFemaleHumansMaleMiddle AgedSalivaBiomarkersC-Reactive Proteinbiofluidscalprotectinchronic inflammationchronic inflammatory diseasecore body temperatureC-reactive proteinexhaled breathfractional exhaled nitric oxideIL-10IL-1βIL-6IL-8inflammatory biomarkersinterleukinmultimodal biomarkernoninvasive biomarkerremote monitoringrheumatologysalivaserumstoolsurrogate biomarkersweatsystemic inflammationTNF-αtumor necrosis factorurine

Identifiers

PMID39499914
PMCPMC11576606

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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.