Evidence map›Paper›PMID 31485847›Full record

ArticleClinical and experimental medicine2019

NK and NKT-like cells in granulomatous and fibrotic lung diseases.

L Bergantini, P Cameli, M d'Alessandro, C Vagaggini, R M Refini, C Landi, M G Pieroni, M Spalletti, P Sestini, E Bargagli

Abstract read
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In one paragraph

Article in Clinical and experimental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 49 citations in OpenAlex.

  1. Specific Biomarkers Involved in Sarcoidosis Diagnosis and Prognosis.International journal of molecular sciences · 2026
    Article
  2. Bioinformatics analysis identifies candidate biomarkers associated with sarcoidosis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2025
    Article
  3. Immunopathogenesis of Sarcoidosis.Seminars in respiratory and critical care medicine · 2025
    Review
  4. Article
  5. Review
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  7. Article
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  9. Article
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  12. BALF and BLOOD NK- cells in different stages of pulmonary sarcoidosis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2022
    Article
  13. Article
  14. Article
  15. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

L BergantiniRespiratory Disease and Lung Transplant Unit, Department of Medical Sciences, Surgery and Neurosciences, Siena University, Siena, Italy. laurabergantini@gmail.com.ORCID http://orcid.org/0000-0002-1118-3223
P CameliRespiratory Disease and Lung Transplant Unit, Department of Medical Sciences, Surgery and Neurosciences, Siena University, Siena, Italy.
M d'AlessandroRespiratory Disease and Lung Transplant Unit, Department of Medical Sciences, Surgery and Neurosciences, Siena University, Siena, Italy.
C VagagginiRespiratory Disease and Lung Transplant Unit, Department of Medical Sciences, Surgery and Neurosciences, Siena University, Siena, Italy.
R M RefiniRespiratory Disease and Lung Transplant Unit, Department of Medical Sciences, Surgery and Neurosciences, Siena University, Siena, Italy.
C LandiDepartment of Life Sciences, Siena University, Siena, Italy.
M G PieroniRespiratory Disease and Lung Transplant Unit, Department of Medical Sciences, Surgery and Neurosciences, Siena University, Siena, Italy.
M SpallettiRespiratory Disease and Lung Transplant Unit, Department of Medical Sciences, Surgery and Neurosciences, Siena University, Siena, Italy.
P SestiniRespiratory Disease and Lung Transplant Unit, Department of Medical Sciences, Surgery and Neurosciences, Siena University, Siena, Italy.
E BargagliRespiratory Disease and Lung Transplant Unit, Department of Medical Sciences, Surgery and Neurosciences, Siena University, Siena, Italy.
University of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abtractBackground The pathogenetic and regulatory roles of natural killer (NK) and natural killer T-like cells in interstitial lung diseases (ILDs), fibrotic and granulomatous of unknown etiology are unclear. Objectives Here we investigated NK and NKT-like cells in peripheral blood (PB) and Bronchoalveolar lavage (BAL) from patients with ILDs. Method 190 patients (94 male mean age 61 ± 14.3 years) and 8 controls undergoing bronchoscopy for ILD diagnostic work-up were enrolled consecutively; 115 patients sarcoidosis, 24 chronic fibrotic hypersensitivity pneumonitis and 43 patients other ILDs [32 idiopathic pulmonary fibrosis (IPF) and 11 non-specific interstitial pneumonia (NSIP)]. PB and BAL were processed by flow cytometry using monoclonal antibodies to differentiate NK and NKT-like cells. Results NK% in BAL was significantly different among ILDs (p = 0.02). Lower NK% was observed in BAL from sarcoidosis than other ILDs (p < 0.05). Similar findings were observed for NKT-like, whereas no differences were found for PB NK%. Difference of NK% was observed between BAL and PB in all groups (p < 0.001). Sarcoidosis patients reported the best area under the curve for NKT-like (AUC = 0.678, p = 0.0015) and NK cells (AUC = 0.61, p = 0.001). In the IPF-NSIP subgroup, NK% cell was inversely correlated with FVC% (r = - 0.34, p = 0.03) and DLCO% (r = - 0.47, p = 0.0044). Conclusions NK and NKT-like were expressed differently in BAL from patients with different ILD and were significantly depleted in sarcoidosis respect to other ILDs. This suggests that these cells may play a protective role in the pathogenesis of sarcoidosis.

Indexed as

AgedBronchoalveolar Lavage FluidBronchoscopyCase-Control StudiesFemaleFlow CytometryHumansKiller Cells, NaturalLung Diseases, InterstitialMaleMiddle AgedNatural Killer T-CellsBronchoalveolar lavageInterstitial lung diseasesNatural killer cellsNatural killer T-like cells

Identifiers

PMID31485847
OpenAlexW2972032745

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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.