Evidence map›Paper›PMID 25125975›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2014

Serum cytokine profiling and enrichment analysis reveal the involvement of immunological and inflammatory pathways in stable patients with chronic obstructive pulmonary disease.

Geetanjali Bade, Meraj Alam Khan, Akhilesh Kumar Srivastava, Parul Khare, Krishna Kumar Solaiappan, Randeep Guleria, Nades Palaniyar, Anjana Talwar

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  18. Interleukin-16-producing NK cells and T-cells in the blood of tobacco smokers with and without COPD.International journal of chronic obstructive pulmonary disease · 2016
    Article
  19. COPD and osteoporosis: links, risks, and treatment challenges.International journal of chronic obstructive pulmonary disease · 2016
    Review
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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

8 authors at 3 institutions in 2 countries.

Geetanjali BadeDepartment of Physiology, All India Institute of Medical Sciences, New Delhi, India.
Meraj Alam KhanProgram in Physiology and Experimental Medicine, The Hospital for Sick Children, Department of Laboratory Medicine and Pathobiology, and Institute of Medical Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Akhilesh Kumar SrivastavaDepartment of Physiology, All India Institute of Medical Sciences, New Delhi, India.
Parul KhareDepartment of Physiology, All India Institute of Medical Sciences, New Delhi, India.
Krishna Kumar SolaiappanDepartment of Physiology, All India Institute of Medical Sciences, New Delhi, India.
Randeep GuleriaDepartment of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India.
Nades PalaniyarProgram in Physiology and Experimental Medicine, The Hospital for Sick Children, Department of Laboratory Medicine and Pathobiology, and Institute of Medical Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Anjana TalwarDepartment of Physiology, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · INHospital for Sick Children · CAUniversity of Toronto · CA

Funding

Canadian Institutes of Health Research MOP-111012
6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is a major global health problem. It results from chronic inflammation and causes irreversible airway damage. Levels of different serum cytokines could be surrogate biomarkers for inflammation and lung function in COPD. We aimed to determine the serum levels of different biomarkers in COPD patients, the association between cytokine levels and various prognostic parameters, and the key pathways/networks involved in stable COPD. In this study, serum levels of 48 cytokines were examined by multiplex assays in 30 subjects (control, n=9; COPD, n=21). Relationships between serum biomarkers and forced expiratory volume in 1 second, peak oxygen uptake, body mass index, dyspnea score, and smoking were assessed. Enrichment pathways and network analyses were implemented, using a list of cytokines showing differential expression between healthy controls and patients with COPD by Cytoscape and GeneGo Metacore™ software (Thomson-Reuters Corporation, New York, NY, USA). Concentrations of cutaneous T-cell attracting chemokine, eotaxin, hepatocyte growth factor, interleukin 6 (IL-6), IL-16, and stem cell factor are significantly higher in COPD patients compared with in control patients. Notably, this study identifies stem cell factor as a biomarker for COPD. Multiple regression analysis predicts that cutaneous T-cell-attracting chemokine, eotaxin, IL-6, and stem cell factor are inversely associated with forced expiratory volume in 1 second and peak oxygen uptake change, whereas smoking is related to eotaxin and hepatocyte growth factor changes. Enrichment pathways and network analyses reveal the potential involvement of specific inflammatory and immune process pathways in COPD. Identified network interaction and regulation of different cytokines would pave the way for deeper insight into mechanisms of the disease process.

Indexed as

Protein Array AnalysisAgedBiomarkersCase-Control StudiesCytokinesFemaleForced Expiratory VolumeHumansInflammation MediatorsLungMaleMiddle AgedPredictive Value of TestsPrognosisProtein Interaction MapsPulmonary Disease, Chronic ObstructiveBiomarkersCytokinesInflammation MediatorsbiomarkersBio-Plex assayCOPDnetworkingpathways

Identifiers

PMID25125975
PMCPMC4130715
OpenAlexW2050757519

What OpenQuestion holds

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LicenceCC BY-NC
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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.