scholarly journals Evaluation of heat shock proteins for discriminating between latent tuberculosis infection and active tuberculosis: A preliminary report

2016 ◽  
Vol 9 (2) ◽  
pp. 143-152 ◽  
Author(s):  
Seema D. Shekhawat ◽  
Hemant J. Purohit ◽  
Girdhar M. Taori ◽  
Hatim F. Daginawala ◽  
Rajpal S. Kashyap
Keyword(s):  
Heat Shock ◽  
Heat Shock Proteins ◽  
Preliminary Report ◽  
Latent Tuberculosis Infection ◽  
Latent Tuberculosis ◽  
Active Tuberculosis ◽  
Tuberculosis Infection ◽  
Shock Proteins

scholarly journals Perbedaan Antara Jumlah Sel T Subset Gamma-Delta di Darah Tepi pada Penderita Tuberkulosis dan Orang dengan Latent Tuberculosis Infection

2016 ◽  
Vol 18 (2) ◽  
pp. 162
Author(s):  
Ryzky Widi Atmaja ◽  
Jusak Nugraha
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Heat Shock ◽  
Heat Shock Protein ◽  
Latent Tuberculosis Infection ◽  
Latent Tuberculosis ◽  
Tuberculosis Infection ◽  
Gamma Delta

Abstrak Latar Belakang. Imunitas memiliki peranan penting untuk melindungi host dari bacilli Mycobacterium tuberculosis (M.tb), bakteri Obligat  intraseluler  yang  menyebabkan  Tuberkulosis  (TB)  dan  latent  tuberculosis  infection  (LTBI).  Sel  T  subset  gamma-delta (T-γδ) adalah sel-sel potensial tersembunyi yang bermain peran di imunitas innate dan adaptive pada TB. Tetapi, hingga kini perananya   di   LTBI   masih   menjadi   misteri.   Bahan   dan   Metode.   Penelitian   dilakukan   dengan   melibatkan   10 penderita  TB serta 10 orang dengan LTBI. Mereka didapatkan dari Rumah Sakit Paru Surabaya melalui suatu persetujuan kelaikan etik   dari  Universitas  Airlangga.  Sampel-sampel  tersebut  akan  dihitung  jumlah  sel  T-γδ  menggunakan  F A C S C a l i b u r. Hasil.   Jumlah   sel   T-γδ   meningkat   pada   TB   (10,7%)   dan   LTBI   (15, 4%).   Jumlah   dari   kedua   kelompok   tersebut melebihi   rerata   normal   di   darah   tepi   (1% - 5%).   Kesimpulan.   Penigkatan   jumlah   sel   T-γδ   pada   TB   disebabkan melimpahnya kadar IL-12 yang dilepas oleh makrofag selama infeksi. Sementara, peningkatan jumlah sel T-γδ pada LTBI diasumsikan    karena    banyaknya    heat    shock    protein    (HSPs)    yang    dilepas    oleh    M.tb    di    bawah    kondisi    stres. ...Kata  kunci:  tuberkulosis,  latent  tuberculosis  infection,  Mycobacterium  tuberclosis,  sel  T  subset  gamma-d e l t a.

scholarly journals Evaluation of cytokines as a biomarker to distinguish active tuberculosis from latent tuberculosis infection: a diagnostic meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e039501
Author(s):  
Beibei Qiu ◽  
Qiao Liu ◽  
Zhongqi Li ◽  
Huan Song ◽  
Dian Xu ◽  
...  
Keyword(s):  
Latent Tuberculosis Infection ◽  
Meta Analysis ◽  
Latent Tuberculosis ◽  
Active Tuberculosis ◽  
Tuberculosis Infection ◽  
Cochrane Library ◽  
Effective Vaccine ◽  
Specific Method ◽  
Case Control Studies ◽  
Ifn Γ

ObjectivesWith a marginally effective vaccine and no significant breakthroughs in new treatments, a sensitive and specific method to distinguish active tuberculosis from latent tuberculosis infection (LTBI) would allow for early diagnosis and limit the spread of the pathogen. The analysis of multiple cytokine profiles provides the possibility to differentiate the two diseases.DesignSystematic review and meta-analysis.Data sourcesPubMed, Cochrane Library, Clinical Key and EMBASE databases were searched on 31 December 2019.Eligibility criteriaWe included case–control studies, cohort studies and randomised controlled trials considering IFN-γ, TNF-α, IP-10, IL-2, IL-10, IL-12 and VEGF as biomarkers to distinguish active tuberculosis and LTBI.Data extraction and synthesisTwo students independently extracted data and assessed the risk of bias. Diagnostic OR, sensitivity, specificity, positive and negative likelihood ratios and area under the curve (AUC) together with 95% CI were used to estimate the diagnostic value.ResultsOf 1315 records identified, 14 studies were considered eligible. IL-2 had the highest sensitivity (0.84, 95% CI: 0.72 to 0.92), while VEGF had the highest specificity (0.87, 95% CI: 0.73 to 0.94). The highest AUC was observed for VEGF (0.85, 95% CI: 0.81 to 0.88), followed by IFN-γ (0.84, 95% CI: 0.80 to 0.87) and IL-2 (0.84, 95% CI: 0.81 to 0.87).ConclusionCytokines, such as IL-2, IFN-γ and VEGF, can be utilised as promising biomarkers to distinguish active tuberculosis from LTBI.PROSPERO registration numberCRD42020170725.

Biomarkers for discrimination between latent tuberculosis infection and active tuberculosis disease

2017 ◽  
Vol 74 (3) ◽  
pp. 281-293 ◽  
Author(s):  
Eun-Jeong Won ◽  
Jung-Ho Choi ◽  
Young-Nan Cho ◽  
Hye-Mi Jin ◽  
Hae Jin Kee ◽  
...  
Keyword(s):  
Latent Tuberculosis Infection ◽  
Latent Tuberculosis ◽  
Active Tuberculosis ◽  
Tuberculosis Infection ◽  
Tuberculosis Disease
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