Study of CD27 and CCR4 Markers on Specific CD4+ T-Cells as Immune Tools for Active and Latent Tuberculosis Management

The immunological characterization of different cell markers has opened the possibility of considering them as immune tools for tuberculosis (TB) management, as they could correlate with TB latency/disease status and outcome. CD4 T-cells producing IFN-γ with a low expression of CD27 have been descri...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in immunology Vol. 9; p. 3094
Main Authors Latorre, Irene, Fernández-Sanmartín, Marco A., Muriel-Moreno, Beatriz, Villar-Hernández, Raquel, Vila, Sergi, Souza-Galvão, Maria L. De, Stojanovic, Zoran, Jiménez-Fuentes, María Á., Centeno, Carmen, Ruiz-Manzano, Juan, Millet, Joan-Pau, Molina-Pinargote, Israel, González-Díaz, Yoel D., Lacoma, Alicia, Luque-Chacón, Lydia, Sabriá, Josefina, Prat, Cristina, Domínguez, Jose
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 09.01.2019
Subjects
Online AccessGet full text
ISSN1664-3224
1664-3224
DOI10.3389/fimmu.2018.03094

Cover

Abstract The immunological characterization of different cell markers has opened the possibility of considering them as immune tools for tuberculosis (TB) management, as they could correlate with TB latency/disease status and outcome. CD4 T-cells producing IFN-γ with a low expression of CD27 have been described as an active TB marker. In addition, there are unknown homing receptors related to TB, such as CCR4, which might be useful for understanding TB pathogenesis. The aim of our study is focused on the assessment of several T-cell subsets to understand immune-mechanisms in TB. This phenotypic immune characterization is based on the study of the specific immune responses of T-cells expressing CD27 and/or CCR4 homing markers. Subjects enrolled in the study were: (i) 22 adult patients with active TB, and (ii) 26 individuals with latent TB infection (LTBI). Blood samples were drawn from each patient. The expression of CD27 and/or CCR4 markers were analyzed within CD4 T-cells producing: (i) IFN-γ , (ii) TNF-α , (iii) TNF-α IFN-γ , and (iv) IFN-γ and/or TNF-α . The percentage of CD27 within all CD4 T-cell populations analyzed was significantly higher on active TB compared to LTBI after PPD or ESAT-6/CFP-10 stimulation. As previously reported, a ratio based on the CD27 median fluorescence intensity (MFI) was also explored (MFI of CD27 in CD4 T-cells over MFI of CD27 in IFN-γ CD4 T-cells), being significantly increased during disease ( < 0.0001 after PPD or ESAT-6/CFP-10 stimulation). This ratio was also assessed on the other CD4 T-cells functional profiles after specific stimulation, being significantly associated with active TB. Highest diagnostic accuracies for active TB (AUC ≥ 0.91) were achieved for: (i) CD27 within IFN-γ TNF-α CD4 T-cells in response to ESAT-6/CFP-10, (ii) CD27 and CCR4 markers together within IFN-γ CD4 T-cells in response to PPD, and (iii) CD27 MFI ratio performed on IFN-γ TNF-α CD4 T-cells after ESAT-6/CFP-10 stimulation. The lowest diagnostic accuracy was observed when CCR4 marker was evaluated alone (AUC ≤ 0.77). CD27 and CCR4 expression detection could serve as a good method for immunodiagnosis. Moreover, the immunological characterization of markers/subset populations could be a promising tool for understanding the biological basis of the disease.
AbstractList The immunological characterization of different cell markers has opened the possibility of considering them as immune tools for tuberculosis (TB) management, as they could correlate with TB latency/disease status and outcome. CD4+ T-cells producing IFN-γ+ with a low expression of CD27 have been described as an active TB marker. In addition, there are unknown homing receptors related to TB, such as CCR4, which might be useful for understanding TB pathogenesis. The aim of our study is focused on the assessment of several T-cell subsets to understand immune-mechanisms in TB. This phenotypic immune characterization is based on the study of the specific immune responses of T-cells expressing CD27 and/or CCR4 homing markers. Subjects enrolled in the study were: (i) 22 adult patients with active TB, and (ii) 26 individuals with latent TB infection (LTBI). Blood samples were drawn from each patient. The expression of CD27 and/or CCR4 markers were analyzed within CD4+ T-cells producing: (i) IFN-γ+, (ii) TNF-α+, (iii) TNF-α+IFN-γ+, and (iv) IFN-γ+ and/or TNF-α+. The percentage of CD27- within all CD4+ T-cell populations analyzed was significantly higher on active TB compared to LTBI after PPD or ESAT-6/CFP-10 stimulation. As previously reported, a ratio based on the CD27 median fluorescence intensity (MFI) was also explored (MFI of CD27 in CD4+ T-cells over MFI of CD27 in IFN-γ+CD4+ T-cells), being significantly increased during disease (p < 0.0001 after PPD or ESAT-6/CFP-10 stimulation). This ratio was also assessed on the other CD4+ T-cells functional profiles after specific stimulation, being significantly associated with active TB. Highest diagnostic accuracies for active TB (AUC ≥ 0.91) were achieved for: (i) CD27 within IFN-γ+TNF-α+CD4+ T-cells in response to ESAT-6/CFP-10, (ii) CD27 and CCR4 markers together within IFN-γ+CD4+ T-cells in response to PPD, and (iii) CD27 MFI ratio performed on IFN-γ+TNF-α+CD4+ T-cells after ESAT-6/CFP-10 stimulation. The lowest diagnostic accuracy was observed when CCR4 marker was evaluated alone (AUC ≤ 0.77). CD27 and CCR4 expression detection could serve as a good method for immunodiagnosis. Moreover, the immunological characterization of markers/subset populations could be a promising tool for understanding the biological basis of the disease.The immunological characterization of different cell markers has opened the possibility of considering them as immune tools for tuberculosis (TB) management, as they could correlate with TB latency/disease status and outcome. CD4+ T-cells producing IFN-γ+ with a low expression of CD27 have been described as an active TB marker. In addition, there are unknown homing receptors related to TB, such as CCR4, which might be useful for understanding TB pathogenesis. The aim of our study is focused on the assessment of several T-cell subsets to understand immune-mechanisms in TB. This phenotypic immune characterization is based on the study of the specific immune responses of T-cells expressing CD27 and/or CCR4 homing markers. Subjects enrolled in the study were: (i) 22 adult patients with active TB, and (ii) 26 individuals with latent TB infection (LTBI). Blood samples were drawn from each patient. The expression of CD27 and/or CCR4 markers were analyzed within CD4+ T-cells producing: (i) IFN-γ+, (ii) TNF-α+, (iii) TNF-α+IFN-γ+, and (iv) IFN-γ+ and/or TNF-α+. The percentage of CD27- within all CD4+ T-cell populations analyzed was significantly higher on active TB compared to LTBI after PPD or ESAT-6/CFP-10 stimulation. As previously reported, a ratio based on the CD27 median fluorescence intensity (MFI) was also explored (MFI of CD27 in CD4+ T-cells over MFI of CD27 in IFN-γ+CD4+ T-cells), being significantly increased during disease (p < 0.0001 after PPD or ESAT-6/CFP-10 stimulation). This ratio was also assessed on the other CD4+ T-cells functional profiles after specific stimulation, being significantly associated with active TB. Highest diagnostic accuracies for active TB (AUC ≥ 0.91) were achieved for: (i) CD27 within IFN-γ+TNF-α+CD4+ T-cells in response to ESAT-6/CFP-10, (ii) CD27 and CCR4 markers together within IFN-γ+CD4+ T-cells in response to PPD, and (iii) CD27 MFI ratio performed on IFN-γ+TNF-α+CD4+ T-cells after ESAT-6/CFP-10 stimulation. The lowest diagnostic accuracy was observed when CCR4 marker was evaluated alone (AUC ≤ 0.77). CD27 and CCR4 expression detection could serve as a good method for immunodiagnosis. Moreover, the immunological characterization of markers/subset populations could be a promising tool for understanding the biological basis of the disease.
The immunological characterization of different cell markers has opened the possibility of considering them as immune tools for tuberculosis (TB) management, as they could correlate with TB latency/disease status and outcome. CD4 + T-cells producing IFN-γ + with a low expression of CD27 have been described as an active TB marker. In addition, there are unknown homing receptors related to TB, such as CCR4, which might be useful for understanding TB pathogenesis. The aim of our study is focused on the assessment of several T-cell subsets to understand immune-mechanisms in TB. This phenotypic immune characterization is based on the study of the specific immune responses of T-cells expressing CD27 and/or CCR4 homing markers. Subjects enrolled in the study were: (i) 22 adult patients with active TB, and (ii) 26 individuals with latent TB infection (LTBI). Blood samples were drawn from each patient. The expression of CD27 and/or CCR4 markers were analyzed within CD4 + T-cells producing: (i) IFN-γ + , (ii) TNF-α + , (iii) TNF-α + IFN-γ + , and (iv) IFN-γ + and/or TNF-α + . The percentage of CD27 − within all CD4 + T-cell populations analyzed was significantly higher on active TB compared to LTBI after PPD or ESAT-6/CFP-10 stimulation. As previously reported, a ratio based on the CD27 median fluorescence intensity (MFI) was also explored (MFI of CD27 in CD4 + T-cells over MFI of CD27 in IFN-γ + CD4 + T-cells), being significantly increased during disease ( p < 0.0001 after PPD or ESAT-6/CFP-10 stimulation). This ratio was also assessed on the other CD4 + T-cells functional profiles after specific stimulation, being significantly associated with active TB. Highest diagnostic accuracies for active TB (AUC ≥ 0.91) were achieved for: (i) CD27 within IFN-γ + TNF-α + CD4 + T-cells in response to ESAT-6/CFP-10, (ii) CD27 and CCR4 markers together within IFN-γ + CD4 + T-cells in response to PPD, and (iii) CD27 MFI ratio performed on IFN-γ + TNF-α + CD4 + T-cells after ESAT-6/CFP-10 stimulation. The lowest diagnostic accuracy was observed when CCR4 marker was evaluated alone (AUC ≤ 0.77). CD27 and CCR4 expression detection could serve as a good method for immunodiagnosis. Moreover, the immunological characterization of markers/subset populations could be a promising tool for understanding the biological basis of the disease.
The immunological characterization of different cell markers has opened the possibility of considering them as immune tools for tuberculosis (TB) management, as they could correlate with TB latency/disease status and outcome. CD4 T-cells producing IFN-γ with a low expression of CD27 have been described as an active TB marker. In addition, there are unknown homing receptors related to TB, such as CCR4, which might be useful for understanding TB pathogenesis. The aim of our study is focused on the assessment of several T-cell subsets to understand immune-mechanisms in TB. This phenotypic immune characterization is based on the study of the specific immune responses of T-cells expressing CD27 and/or CCR4 homing markers. Subjects enrolled in the study were: (i) 22 adult patients with active TB, and (ii) 26 individuals with latent TB infection (LTBI). Blood samples were drawn from each patient. The expression of CD27 and/or CCR4 markers were analyzed within CD4 T-cells producing: (i) IFN-γ , (ii) TNF-α , (iii) TNF-α IFN-γ , and (iv) IFN-γ and/or TNF-α . The percentage of CD27 within all CD4 T-cell populations analyzed was significantly higher on active TB compared to LTBI after PPD or ESAT-6/CFP-10 stimulation. As previously reported, a ratio based on the CD27 median fluorescence intensity (MFI) was also explored (MFI of CD27 in CD4 T-cells over MFI of CD27 in IFN-γ CD4 T-cells), being significantly increased during disease ( < 0.0001 after PPD or ESAT-6/CFP-10 stimulation). This ratio was also assessed on the other CD4 T-cells functional profiles after specific stimulation, being significantly associated with active TB. Highest diagnostic accuracies for active TB (AUC ≥ 0.91) were achieved for: (i) CD27 within IFN-γ TNF-α CD4 T-cells in response to ESAT-6/CFP-10, (ii) CD27 and CCR4 markers together within IFN-γ CD4 T-cells in response to PPD, and (iii) CD27 MFI ratio performed on IFN-γ TNF-α CD4 T-cells after ESAT-6/CFP-10 stimulation. The lowest diagnostic accuracy was observed when CCR4 marker was evaluated alone (AUC ≤ 0.77). CD27 and CCR4 expression detection could serve as a good method for immunodiagnosis. Moreover, the immunological characterization of markers/subset populations could be a promising tool for understanding the biological basis of the disease.
The immunological characterization of different cell markers has opened the possibility of considering them as immune tools for tuberculosis (TB) management, as they could correlate with TB latency/disease status and outcome. CD4+ T-cells producing IFN-γ+ with a low expression of CD27 have been described as an active TB marker. In addition, there are unknown homing receptors related to TB, such as CCR4, which might be useful for understanding TB pathogenesis. The aim of our study is focused on the assessment of several T-cell subsets to understand immune-mechanisms in TB. This phenotypic immune characterization is based on the study of the specific immune responses of T-cells expressing CD27 and/or CCR4 homing markers. Subjects enrolled in the study were: (i) 22 adult patients with active TB, and (ii) 26 individuals with latent TB infection (LTBI). Blood samples were drawn from each patient. The expression of CD27 and/or CCR4 markers were analyzed within CD4+ T-cells producing: (i) IFN-γ+, (ii) TNF-α+, (iii) TNF-α+IFN-γ+, and (iv) IFN-γ+ and/or TNF-α+. The percentage of CD27− within all CD4+ T-cell populations analyzed was significantly higher on active TB compared to LTBI after PPD or ESAT-6/CFP-10 stimulation. As previously reported, a ratio based on the CD27 median fluorescence intensity (MFI) was also explored (MFI of CD27 in CD4+ T-cells over MFI of CD27 in IFN-γ+CD4+ T-cells), being significantly increased during disease (p < 0.0001 after PPD or ESAT-6/CFP-10 stimulation). This ratio was also assessed on the other CD4+ T-cells functional profiles after specific stimulation, being significantly associated with active TB. Highest diagnostic accuracies for active TB (AUC ≥ 0.91) were achieved for: (i) CD27 within IFN-γ+TNF-α+CD4+ T-cells in response to ESAT-6/CFP-10, (ii) CD27 and CCR4 markers together within IFN-γ+CD4+ T-cells in response to PPD, and (iii) CD27 MFI ratio performed on IFN-γ+TNF-α+CD4+ T-cells after ESAT-6/CFP-10 stimulation. The lowest diagnostic accuracy was observed when CCR4 marker was evaluated alone (AUC ≤ 0.77). CD27 and CCR4 expression detection could serve as a good method for immunodiagnosis. Moreover, the immunological characterization of markers/subset populations could be a promising tool for understanding the biological basis of the disease.
Author Villar-Hernández, Raquel
Domínguez, Jose
Fernández-Sanmartín, Marco A.
Millet, Joan-Pau
Luque-Chacón, Lydia
Molina-Pinargote, Israel
Muriel-Moreno, Beatriz
Ruiz-Manzano, Juan
Lacoma, Alicia
Stojanovic, Zoran
Vila, Sergi
González-Díaz, Yoel D.
Souza-Galvão, Maria L. De
Sabriá, Josefina
Prat, Cristina
Latorre, Irene
Jiménez-Fuentes, María Á.
Centeno, Carmen
AuthorAffiliation 1 Servei de Microbiologia, Hospital Universitari Germans Trias i Pujol, Institut d'Investigació Germans Trias i Pujol , Barcelona , Spain
5 Unitat de Tuberculosi de Drassanes, Hospital Universitari Vall d'Hebron , Barcelona Spain
8 CIBER de Epidemiología y Salud Pública, CIBERESP, Instituto de Salud Carlos III , Madrid , Spain
4 Plataforma de Citometría, Institut d'Investigació Germans Trias i Pujol , Barcelona , Spain
7 Serveis Clínics, Unitat Clínica de Tractament Directament Observat de la Tuberculosi , Barcelona , Spain
3 Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona , Barcelona , Spain
9 Servei de Pneumologia, Hospital Sant Joan Despí Moises Broggi, Sant Joan Despí , Barcelona , Spain
6 Servei de Pneumologia, Hospital Universitari Germans Trias i Pujol , Barcelona , Spain
2 CIBER Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III , Madrid , Spain
AuthorAffiliation_xml – name: 8 CIBER de Epidemiología y Salud Pública, CIBERESP, Instituto de Salud Carlos III , Madrid , Spain
– name: 3 Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona , Barcelona , Spain
– name: 1 Servei de Microbiologia, Hospital Universitari Germans Trias i Pujol, Institut d'Investigació Germans Trias i Pujol , Barcelona , Spain
– name: 4 Plataforma de Citometría, Institut d'Investigació Germans Trias i Pujol , Barcelona , Spain
– name: 6 Servei de Pneumologia, Hospital Universitari Germans Trias i Pujol , Barcelona , Spain
– name: 5 Unitat de Tuberculosi de Drassanes, Hospital Universitari Vall d'Hebron , Barcelona Spain
– name: 7 Serveis Clínics, Unitat Clínica de Tractament Directament Observat de la Tuberculosi , Barcelona , Spain
– name: 9 Servei de Pneumologia, Hospital Sant Joan Despí Moises Broggi, Sant Joan Despí , Barcelona , Spain
– name: 2 CIBER Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III , Madrid , Spain
Author_xml – sequence: 1
  givenname: Irene
  surname: Latorre
  fullname: Latorre, Irene
– sequence: 2
  givenname: Marco A.
  surname: Fernández-Sanmartín
  fullname: Fernández-Sanmartín, Marco A.
– sequence: 3
  givenname: Beatriz
  surname: Muriel-Moreno
  fullname: Muriel-Moreno, Beatriz
– sequence: 4
  givenname: Raquel
  surname: Villar-Hernández
  fullname: Villar-Hernández, Raquel
– sequence: 5
  givenname: Sergi
  surname: Vila
  fullname: Vila, Sergi
– sequence: 6
  givenname: Maria L. De
  surname: Souza-Galvão
  fullname: Souza-Galvão, Maria L. De
– sequence: 7
  givenname: Zoran
  surname: Stojanovic
  fullname: Stojanovic, Zoran
– sequence: 8
  givenname: María Á.
  surname: Jiménez-Fuentes
  fullname: Jiménez-Fuentes, María Á.
– sequence: 9
  givenname: Carmen
  surname: Centeno
  fullname: Centeno, Carmen
– sequence: 10
  givenname: Juan
  surname: Ruiz-Manzano
  fullname: Ruiz-Manzano, Juan
– sequence: 11
  givenname: Joan-Pau
  surname: Millet
  fullname: Millet, Joan-Pau
– sequence: 12
  givenname: Israel
  surname: Molina-Pinargote
  fullname: Molina-Pinargote, Israel
– sequence: 13
  givenname: Yoel D.
  surname: González-Díaz
  fullname: González-Díaz, Yoel D.
– sequence: 14
  givenname: Alicia
  surname: Lacoma
  fullname: Lacoma, Alicia
– sequence: 15
  givenname: Lydia
  surname: Luque-Chacón
  fullname: Luque-Chacón, Lydia
– sequence: 16
  givenname: Josefina
  surname: Sabriá
  fullname: Sabriá, Josefina
– sequence: 17
  givenname: Cristina
  surname: Prat
  fullname: Prat, Cristina
– sequence: 18
  givenname: Jose
  surname: Domínguez
  fullname: Domínguez, Jose
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30687314$$D View this record in MEDLINE/PubMed
BookMark eNp1Uk1v1DAQtVARLaV3TshHJJTF304uSFXKx0qLkOhythzveHFJ4sVOKvXf490tVYuEL2OP33szHr-X6GSMIyD0mpIF53Xz3odhmBeM0HpBOGnEM3RGlRIVZ0ycPNqfooucb0hZouGcyxfolBNVa07FGZqvp3lzh6PH7RXT2I4b3LbfBf5q0y9IGccRX-_ABR9cQYh3eF210PcZ24yXpf4IeB1jOfuY8KWbwi0cRFZ2gnHC67mD5OY-5pCL5mi3MJT8K_Tc2z7DxX08Rz8-fVy3X6rVt8_L9nJVOaHYVGnBatbxuq5LpNRJ0akOKIhGqaaTDjQlCjz4xlGwtVJS6k5wrjXXwJji52h51N1Ee2N2KQw23ZlogzkkYtoam6bgejCiTMRr6JhSRMiONRtvBW2I7CSRivqi9eGotZu7ATauPCPZ_ono05sx_DTbeGsU50LofTNv7wVS_D1DnswQsivDtCPEORtGdSOokpoV6JvHtR6K_P23AiBHgEsx5wT-AUKJ2bvDHNxh9u4wB3cUivqH4sJkpxD33Yb-_8Q_e8G82g
CitedBy_id crossref_primary_10_3389_fmicb_2021_745592
crossref_primary_10_3390_pathogens11091034
crossref_primary_10_1016_j_jinf_2020_03_064
crossref_primary_10_4081_monaldi_2024_2984
crossref_primary_10_1093_cid_ciab144
crossref_primary_10_1038_s41598_020_70204_w
crossref_primary_10_3390_jcm11072000
crossref_primary_10_1186_s12865_021_00430_y
crossref_primary_10_3389_fimmu_2020_00127
crossref_primary_10_3390_pathogens9030180
crossref_primary_10_3389_fimmu_2020_02006
crossref_primary_10_1111_imr_12963
crossref_primary_10_3389_fimmu_2021_662128
crossref_primary_10_1016_j_tube_2022_102221
crossref_primary_10_3390_jcm12196398
crossref_primary_10_3389_fimmu_2021_721013
crossref_primary_10_1016_j_jctube_2021_100275
crossref_primary_10_3389_fimmu_2022_853572
crossref_primary_10_3389_fmicb_2022_885312
crossref_primary_10_1186_s12879_022_07895_1
crossref_primary_10_1186_s40001_024_01713_x
crossref_primary_10_1016_j_micinf_2019_07_003
crossref_primary_10_1038_s41392_022_01136_2
Cites_doi 10.1016/j.jinf.2016.09.008
10.1084/jem.20100090
10.1128/CVI.00364-07
10.1038/nm.2299
10.1007/s00281-015-0490-8
10.1038/nrmicro2236
10.1111/resp.13272
10.1157/13126836
10.1093/infdis/jit265
10.1016/S0140-6736(00)02742-2
10.3389/fimmu.2017.00968
10.1183/09031936.00114810
10.1002/eji.201243262
10.1086/592448
10.1038/nri3537
10.1007/s10875-010-9418-1
10.1016/j.jinf.2015.07.009
10.4049/jimmunol.178.2.976
10.1183/09031936.00196608
10.1183/13993003.00153-2018
10.3389/fimmu.2017.01948
10.1183/13993003.01012-2016
10.1038/nri2960
10.1084/jem.20130091
10.1371/journal.pone.0043733
10.1016/S1473-3099(14)70884-9
10.1016/j.cytogfr.2012.10.002
10.3389/fmicb.2014.00517
10.1016/S0140-6736(06)68579-6
10.1016/S1579-2129(10)70061-6
10.1007/978-1-4614-6111-1_8
10.1016/j.diagmicrobio.2009.07.015
10.1371/journal.pone.0000735
10.1093/infdis/jix107
ContentType Journal Article
Copyright Copyright © 2019 Latorre, Fernández-Sanmartín, Muriel-Moreno, Villar-Hernández, Vila, Souza-Galvão, Stojanovic, Jiménez-Fuentes, Centeno, Ruiz-Manzano, Millet, Molina-Pinargote, González-Díaz, Lacoma, Luque-Chacón, Sabriá, Prat and Domínguez. 2019 Latorre, Fernández-Sanmartín, Muriel-Moreno, Villar-Hernández, Vila, Souza-Galvão, Stojanovic, Jiménez-Fuentes, Centeno, Ruiz-Manzano, Millet, Molina-Pinargote, González-Díaz, Lacoma, Luque-Chacón, Sabriá, Prat and Domínguez
Copyright_xml – notice: Copyright © 2019 Latorre, Fernández-Sanmartín, Muriel-Moreno, Villar-Hernández, Vila, Souza-Galvão, Stojanovic, Jiménez-Fuentes, Centeno, Ruiz-Manzano, Millet, Molina-Pinargote, González-Díaz, Lacoma, Luque-Chacón, Sabriá, Prat and Domínguez. 2019 Latorre, Fernández-Sanmartín, Muriel-Moreno, Villar-Hernández, Vila, Souza-Galvão, Stojanovic, Jiménez-Fuentes, Centeno, Ruiz-Manzano, Millet, Molina-Pinargote, González-Díaz, Lacoma, Luque-Chacón, Sabriá, Prat and Domínguez
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
DOA
DOI 10.3389/fimmu.2018.03094
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic

MEDLINE

Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 1664-3224
ExternalDocumentID oai_doaj_org_article_4687f7eb266045b29dfa41905b50561f
PMC6334476
30687314
10_3389_fimmu_2018_03094
Genre Research Support, Non-U.S. Gov't
Journal Article
GroupedDBID 53G
5VS
9T4
AAFWJ
AAKDD
AAYXX
ACGFO
ACGFS
ACXDI
ADBBV
ADRAZ
AENEX
AFPKN
ALMA_UNASSIGNED_HOLDINGS
AOIJS
BAWUL
BCNDV
CITATION
DIK
EBS
EMOBN
GROUPED_DOAJ
GX1
HYE
KQ8
M48
M~E
OK1
PGMZT
RNS
RPM
CGR
CUY
CVF
ECM
EIF
IAO
IEA
IHR
IHW
IPNFZ
NPM
RIG
7X8
5PM
ID FETCH-LOGICAL-c462t-74282b388828211c54b6be1e49669b5ce7106efef9c1ea866557b4337737e2263
IEDL.DBID DOA
ISSN 1664-3224
IngestDate Wed Aug 27 01:15:35 EDT 2025
Thu Aug 21 18:33:12 EDT 2025
Fri Sep 05 11:27:47 EDT 2025
Thu Jan 02 22:59:25 EST 2025
Tue Jul 01 01:35:40 EDT 2025
Thu Apr 24 23:05:00 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords tuberculosis
CD27
CD4 T-cells
flow cytometry
immunity
latent tuberculosis
CCR4
Language English
License This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c462t-74282b388828211c54b6be1e49669b5ce7106efef9c1ea866557b4337737e2263
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
This article was submitted to Microbial Immunology, a section of the journal Frontiers in Immunology
Edited by: Jesús Gonzalo-Asensio, Universidad de Zaragoza, Spain
Reviewed by: Damien Portevin, Swiss Tropical and Public Health Institute, Switzerland; Paul Fisch, University Hospital Freiburg, Germany
These authors have contributed equally to this work and as co-senior authorship
OpenAccessLink https://doaj.org/article/4687f7eb266045b29dfa41905b50561f
PMID 30687314
PQID 2179416572
PQPubID 23479
ParticipantIDs doaj_primary_oai_doaj_org_article_4687f7eb266045b29dfa41905b50561f
pubmedcentral_primary_oai_pubmedcentral_nih_gov_6334476
proquest_miscellaneous_2179416572
pubmed_primary_30687314
crossref_primary_10_3389_fimmu_2018_03094
crossref_citationtrail_10_3389_fimmu_2018_03094
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2019-01-09
PublicationDateYYYYMMDD 2019-01-09
PublicationDate_xml – month: 01
  year: 2019
  text: 2019-01-09
  day: 09
PublicationDecade 2010
PublicationPlace Switzerland
PublicationPlace_xml – name: Switzerland
PublicationTitle Frontiers in immunology
PublicationTitleAlternate Front Immunol
PublicationYear 2019
Publisher Frontiers Media S.A
Publisher_xml – name: Frontiers Media S.A
References Latorre (B11) 2009; 65
Streitz (B13) 2007; 2
Ferrara (B6) 2006; 367
Goletti (B2) 2018; 23
Petruccioli (B17) 2015; 71
Harari (B23) 2011; 17
Jiang (B12) 2010; 30
Portevin (B16) 2014; 14
Nikitina (B14) 2012; 7
Mikhak (B19) 2013; 210
Riou (B31) 2017; 8
Andersen (B9) 2000; 356
Rozot (B26) 2013; 43
Behar (B28) 2013; 783
Ruiz-Manzano (B22) 2008; 44
Petruccioli (B29) 2016; 73
Sester (B10) 2011; 37
Latorre (B8) 2010; 35
Geldmacher (B15) 2010; 207
Serra-Vidal (B3) 2014; 5
Bordon (B20) 2013; 13
Lin (B27) 2015; 37
Pollock (B24) 2013; 208
Gonzalez-Martin (B21) 2010; 46
Kapina (B32) 2007; 178
Qiu (B33) 2008; 198
Petruccioli (B1) 2016; 48
Walzl (B5) 2011; 11
Dominguez (B7) 2008; 15
Slight (B18) 2013; 24
Barry (B4) 2009; 7
Halliday (B25) 2017; 215
Musvosvi (B30) 2018; 51
Bastos (B34) 2017; 8
References_xml – volume: 73
  start-page: 588
  year: 2016
  ident: B29
  article-title: First characterization of the CD4 and CD8 T-cell responses to QuantiFERON-TB Plus
  publication-title: J Infect
  doi: 10.1016/j.jinf.2016.09.008
– volume: 207
  start-page: 2869
  year: 2010
  ident: B15
  article-title: Preferential infection and depletion of Mycobacterium tuberculosis-specific CD4 T cells after HIV-1 infection
  publication-title: J Exp Med.
  doi: 10.1084/jem.20100090
– volume: 15
  start-page: 168
  year: 2008
  ident: B7
  article-title: Comparison of two commercially available gamma interferon blood tests for immunodiagnosis of tuberculosis
  publication-title: Clin Vaccine Immunol
  doi: 10.1128/CVI.00364-07
– volume: 17
  start-page: 37
  year: 2011
  ident: B23
  article-title: Dominant TNF-alpha+ Mycobacterium tuberculosis-specific CD4+ T cell responses discriminate between latent infection and active disease
  publication-title: Nat Med
  doi: 10.1038/nm.2299
– volume: 37
  start-page: 239
  year: 2015
  ident: B27
  article-title: CD8 T cells and Mycobacterium tuberculosis infection
  publication-title: Semin Immunopathol
  doi: 10.1007/s00281-015-0490-8
– volume: 7
  start-page: 845
  year: 2009
  ident: B4
  article-title: The spectrum of latent tuberculosis: rethinking the biology and intervention strategies
  publication-title: Nat Rev Microbiol
  doi: 10.1038/nrmicro2236
– volume: 23
  start-page: 455
  year: 2018
  ident: B2
  article-title: Update on tuberculosis biomarkers: from correlates of risk, to correlates of active disease and of cure from disease
  publication-title: Respirology
  doi: 10.1111/resp.13272
– volume: 44
  start-page: 551
  year: 2008
  ident: B22
  article-title: Diagnosis and treatment of tuberculosis
  publication-title: Arch Bronconeumol
  doi: 10.1157/13126836
– volume: 208
  start-page: 952
  year: 2013
  ident: B24
  article-title: T-cell immunophenotyping distinguishes active from latent tuberculosis
  publication-title: J Infect Dis
  doi: 10.1093/infdis/jit265
– volume: 356
  start-page: 1099
  year: 2000
  ident: B9
  article-title: Specific immune-based diagnosis of tuberculosis
  publication-title: Lancet
  doi: 10.1016/S0140-6736(00)02742-2
– volume: 8
  start-page: 968
  year: 2017
  ident: B31
  article-title: Analysis of the phenotype of Mycobacterium tuberculosis-specific CD4+ T cells to discriminate latent from active tuberculosis in HIV-uninfected and HIV-infected individuals
  publication-title: Front Immunol
  doi: 10.3389/fimmu.2017.00968
– volume: 37
  start-page: 100
  year: 2011
  ident: B10
  article-title: Interferon-gamma release assays for the diagnosis of active tuberculosis: a systematic review and meta-analysis
  publication-title: Eur Respir J
  doi: 10.1183/09031936.00114810
– volume: 43
  start-page: 1568
  year: 2013
  ident: B26
  article-title: Mycobacterium tuberculosis-specific CD8+ T cells are functionally and phenotypically different between latent infection and active disease
  publication-title: Eur J Immunol
  doi: 10.1002/eji.201243262
– volume: 198
  start-page: 1514
  year: 2008
  ident: B33
  article-title: Severe tuberculosis induces unbalanced up-regulation of gene networks and overexpression of IL-22, MIP-1alpha, CCL27, IP-10, CCR4, CCR5, CXCR3, PD1, PDL2, IL-3, IFN-beta, TIM1, and TLR2 but low antigen-specific cellular responses
  publication-title: J Infect Dis
  doi: 10.1086/592448
– volume: 13
  start-page: 705
  year: 2013
  ident: B20
  article-title: Mucosal immunology: air miles for T cells
  publication-title: Nat Rev Immunol
  doi: 10.1038/nri3537
– volume: 30
  start-page: 566
  year: 2010
  ident: B12
  article-title: Reduced CD27 expression on antigen-specific CD4+ T cells correlates with persistent active tuberculosis
  publication-title: J Clin Immunol
  doi: 10.1007/s10875-010-9418-1
– volume: 71
  start-page: 526
  year: 2015
  ident: B17
  article-title: Assessment of CD27 expression as a tool for active and latent tuberculosis diagnosis
  publication-title: J Infect
  doi: 10.1016/j.jinf.2015.07.009
– volume: 178
  start-page: 976
  year: 2007
  ident: B32
  article-title: CD27low CD4 T lymphocytes that accumulate in the mouse lungs during mycobacterial infection differentiate from CD27high precursors in situ, produce IFN-gamma, and protect the host against tuberculosis infection
  publication-title: J Immunol
  doi: 10.4049/jimmunol.178.2.976
– volume: 35
  start-page: 338
  year: 2010
  ident: B8
  article-title: Evaluating the non-tuberculous mycobacteria effect in the tuberculosis infection diagnosis
  publication-title: Eur Respir J
  doi: 10.1183/09031936.00196608
– volume: 51
  start-page: 1800153
  year: 2018
  ident: B30
  article-title: T-cell biomarkers for diagnosis of tuberculosis: candidate evaluation by a simple whole blood assay for clinical translation
  publication-title: Eur Respir J
  doi: 10.1183/13993003.00153-2018
– volume: 8
  start-page: 1948
  year: 2017
  ident: B34
  article-title: The troika host-pathogen-extrinsic factors in tuberculosis: modulating inflammation and clinical outcomes
  publication-title: Front Immunol
  doi: 10.3389/fimmu.2017.01948
– volume: 48
  start-page: 175
  year: 2016
  ident: B1
  article-title: Correlates of tuberculosis risk: predictive biomarkers for progression to active tuberculosis
  publication-title: Eur Respir J
  doi: 10.1183/13993003.01012-2016
– volume: 11
  start-page: 343
  year: 2011
  ident: B5
  article-title: Immunological biomarkers of tuberculosis
  publication-title: Nat Rev Immunol
  doi: 10.1038/nri2960
– volume: 210
  start-page: 1855
  year: 2013
  ident: B19
  article-title: Lung dendritic cells imprint T cell lung homing and promote lung immunity through the chemokine receptor CCR4
  publication-title: J Exp Med
  doi: 10.1084/jem.20130091
– volume: 7
  start-page: e43733
  year: 2012
  ident: B14
  article-title: Mtb-specific CD27low CD4 T cells as markers of lung tissue destruction during pulmonary tuberculosis in humans
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0043733
– volume: 14
  start-page: 931
  year: 2014
  ident: B16
  article-title: Assessment of the novel T-cell activation marker-tuberculosis assay for diagnosis of active tuberculosis in children: a prospective proof-of-concept study
  publication-title: Lancet Infect Dis
  doi: 10.1016/S1473-3099(14)70884-9
– volume: 24
  start-page: 105
  year: 2013
  ident: B18
  article-title: Chemokines shape the immune responses to tuberculosis
  publication-title: Cytokine Growth Factor Rev
  doi: 10.1016/j.cytogfr.2012.10.002
– volume: 5
  start-page: 517
  year: 2014
  ident: B3
  article-title: Immunogenicity of 60 novel latency-related antigens of Mycobacterium tuberculosis
  publication-title: Front Microbiol
  doi: 10.3389/fmicb.2014.00517
– volume: 367
  start-page: 1328
  year: 2006
  ident: B6
  article-title: Use in routine clinical practice of two commercial blood tests for diagnosis of infection with Mycobacterium tuberculosis: a prospective study
  publication-title: Lancet
  doi: 10.1016/S0140-6736(06)68579-6
– volume: 46
  start-page: 255
  year: 2010
  ident: B21
  article-title: Consensus document on the diagnosis, treatment and prevention of tuberculosis
  publication-title: Arch Bronconeumol
  doi: 10.1016/S1579-2129(10)70061-6
– volume: 783
  start-page: 141
  year: 2013
  ident: B28
  article-title: Antigen-specific CD8(+) T cells and protective immunity to tuberculosis
  publication-title: Adv Exp Med Biol
  doi: 10.1007/978-1-4614-6111-1_8
– volume: 65
  start-page: 236
  year: 2009
  ident: B11
  article-title: Quantitative evaluation of T-cell response after specific antigen stimulation in active and latent tuberculosis infection in adults and children
  publication-title: Diagn Microbiol Infect Dis
  doi: 10.1016/j.diagmicrobio.2009.07.015
– volume: 2
  start-page: e735
  year: 2007
  ident: B13
  article-title: Loss of receptor on tuberculin-reactive T-cells marks active pulmonary tuberculosis
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0000735
– volume: 215
  start-page: 1480
  year: 2017
  ident: B25
  article-title: Stratification of latent Mycobacterium tuberculosis infection by cellular immune profiling
  publication-title: J Infect Dis
  doi: 10.1093/infdis/jix107
SSID ssj0000493335
Score 2.3418972
Snippet The immunological characterization of different cell markers has opened the possibility of considering them as immune tools for tuberculosis (TB) management,...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 3094
SubjectTerms Adult
Biomarkers
CCR4
CD27
CD4 T-cells
CD4-Positive T-Lymphocytes - immunology
CD4-Positive T-Lymphocytes - metabolism
CD8-Positive T-Lymphocytes - metabolism
Cytokines - metabolism
Female
flow cytometry
Host-Pathogen Interactions - immunology
Humans
immunity
Immunology
Immunophenotyping
latent tuberculosis
Latent Tuberculosis - immunology
Latent Tuberculosis - microbiology
Latent Tuberculosis - therapy
Leukocytes, Mononuclear - immunology
Leukocytes, Mononuclear - metabolism
Male
Middle Aged
Mycobacterium tuberculosis - immunology
Receptors, CCR4 - metabolism
ROC Curve
T-Cell Antigen Receptor Specificity - immunology
Tuberculosis - immunology
Tuberculosis - microbiology
Tuberculosis - therapy
Tumor Necrosis Factor Receptor Superfamily, Member 7 - metabolism
Young Adult
SummonAdditionalLinks – databaseName: Scholars Portal Journals: Open Access
  dbid: M48
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELagCIkL4s3ykpG4IJR2_YgdHxAqgaog4IB2pd4iOxmXRWnSbjYS--8ZO-mWRStOnKIkdjLyeDLfF49nCHlly6lHx8GSVHtIZAY8MZ4jcbUW4bJhrnIx2uKbOp7LzyfpydX26HEAu53ULtSTmi_r_V8X63do8G8D40R_e-AXZ2d9iNLK9sOCgbxObqBf4mGOfx3B_s8BCwsh0mGtcmfHLd8UU_jvwp1_h0_-4Y-O7pDbI5Ckh4Pm75Jr0NwjN4fSkuv7pA8Bgmvaepp_4JrapqJ5_l3SsDcHER9tGxpLz_tFiS3kGzpLcqjrjtqOfgp7RoDO2hbPEdTSw_hRjA_5gti0WdFZ72BZ9nXbLTp6FULzgMyPPs7y42QssZCUUvFVgsQ4404gDcYjY2UqnXLAQCILMi4tAQGIAg_elAxsyI2XaieF0FpoQOQmHpK9pm3gMaFgjSoRDSJjtHIK2lSGQeb0VHtdcUgn5OBycItyzD8eymDUBfKQoI4iqqMI6iiiOibk9abH-ZB74x9t3wd9bdqFrNnxQrs8LUYjLKTKUBhwCEoQyTpuKm8lIqLUBRzI_IS8vNR2gVYWlk5sA23fFTx8t5hKNZ-QR4P2N69C0pVpwVAEvTUvtmTZvtMsfsRM3kqEhIvqyf8Q_im5hcNh4u8h84zsrZY9PEfAtHIvoh38BmZ_Ejw
  priority: 102
  providerName: Scholars Portal
Title Study of CD27 and CCR4 Markers on Specific CD4+ T-Cells as Immune Tools for Active and Latent Tuberculosis Management
URI https://www.ncbi.nlm.nih.gov/pubmed/30687314
https://www.proquest.com/docview/2179416572
https://pubmed.ncbi.nlm.nih.gov/PMC6334476
https://doaj.org/article/4687f7eb266045b29dfa41905b50561f
Volume 9
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 1664-3224
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000493335
  issn: 1664-3224
  databaseCode: KQ8
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 1664-3224
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000493335
  issn: 1664-3224
  databaseCode: DOA
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVBFR
  databaseName: Free Medical Journals
  customDbUrl:
  eissn: 1664-3224
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000493335
  issn: 1664-3224
  databaseCode: DIK
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: http://www.freemedicaljournals.com
  providerName: Flying Publisher
– providerCode: PRVFQY
  databaseName: GFMER Free Medical Journals
  customDbUrl:
  eissn: 1664-3224
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000493335
  issn: 1664-3224
  databaseCode: GX1
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php
  providerName: Geneva Foundation for Medical Education and Research
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 1664-3224
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000493335
  issn: 1664-3224
  databaseCode: M~E
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVAQN
  databaseName: PubMed Central
  customDbUrl:
  eissn: 1664-3224
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000493335
  issn: 1664-3224
  databaseCode: RPM
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/
  providerName: National Library of Medicine
– providerCode: PRVFZP
  databaseName: Scholars Portal Journals: Open Access
  customDbUrl:
  eissn: 1664-3224
  dateEnd: 20250131
  omitProxy: true
  ssIdentifier: ssj0000493335
  issn: 1664-3224
  databaseCode: M48
  dateStart: 20101001
  isFulltext: true
  titleUrlDefault: http://journals.scholarsportal.info
  providerName: Scholars Portal
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQpUpcELQ8lpeMxAWhsOt3fCyhpSDggLbS3iw7GYtF2wQ1m0P_PWNnu-wiBBcujpI4ieUZe74vHs8Q8tLXs4iGgxXKRChkCbywkSNx9R7hsmWhCdnb4os-v5AfF2qxk-or-YSN4YHHjptKXZpokP9pjegjcNtEL9GKqZBsN4tp9kUztkOmvo-4VwihxnVJZGF2GpeXl0Ny5SrfpFUFuWeHcrj-P2HM310ld2zP2V1yZwMa6cnY2HvkFrRH5HBMI3l9TIbkDHhNu0ird9xQ3za0qr5KmvbhILqjXUtzmvm4rLGGfE3nRQWrVU99Tz-k_SFA512H5whg6UmeAPNLPiEObdd0PgS4qodV1y97-std5j65ODudV-fFJp1CUUvN1wWS4JIHgZQXj4zVSgYdgIFExmODqgHBhoYI0dYMfIqDp0yQQhgjDCBKEw_IQdu18IhQ8FbXiPyQHXo5A2Mby6AMZoaiajioCZnedK6rN7HGU8qLlUPOkcThsjhcEofL4piQV9snfoxxNv5S922S17ZeipCdL6DeuI3euH_pzYS8uJG2wxGVlkl8C93QO57mKKaV4RPycJT-9lNIsEojGDbB7OnFXlv277TLbzlqtxYpuKJ-_D8a_4Tcxu6w-VeQfUoO1lcDPENwtA7P8zjA8v2CYflZlj8Bi1MLVw
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Study+of+CD27+and+CCR4+Markers+on+Specific+CD4%2B+T-Cells+as+Immune+Tools+for+Active+and+Latent+Tuberculosis+Management&rft.jtitle=Frontiers+in+immunology&rft.au=Irene+Latorre&rft.au=Irene+Latorre&rft.au=Irene+Latorre&rft.au=Marco+A.+Fern%C3%A1ndez-Sanmart%C3%ADn&rft.date=2019-01-09&rft.pub=Frontiers+Media+S.A&rft.eissn=1664-3224&rft.volume=9&rft_id=info:doi/10.3389%2Ffimmu.2018.03094&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_4687f7eb266045b29dfa41905b50561f
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1664-3224&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1664-3224&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1664-3224&client=summon