Dataset Information

Value of serum cytokine biomarkers TNF-?, IL-4, sIL-2R and IFN-? for use in monitoring bacterial load and anti-tuberculosis treatment progress.

ABSTRACT: Tuberculosis (TB) patient serum cytokine levels may be predictive of anti-tuberculosis treatment progress. Here, serum levels of cytokines TNF-?, IL-4, sIL-2R and IFN-? were measured then correlated to clinical TB manifestations, bacterial burden, chest imaging findings and clinical course. Study subjects included 67 newly diagnosed pulmonary TB (PTB) patients with active disease admitted to Beijing Chest Hospital for anti-TB chemotherapeutic treatment. Blood was drawn at 0 months (pre-treatment), 1-2 months (at any time between 1 and 2 month) and after 6 months completion of treatment and serum TNF-?, IL-4, sIL-2R and IFN-? levels were measured in duplicate using enzyme-linked immunosorbent assays (ELISAs). Correlation analysis was conducted to evaluate sensitivity and specificity of cytokine levels as predictors of disease activity and treatment progress. The results indicated that the pre-treatment serum TNF-? level of the smear-negative group was lower than that of the smear 1+ group, while serum TNF-? after 6 months completion of treatment and IFN-? levels at 1-2 months and after 6 months completion of treatment were significantly lower, respectively, than at 0 months (before treatment) (P < 0.05). Using a cut-off value of 845 pg/ml, serum TNF-? level was predictive of treatment progress, with a sensitivity of 51%, specificity of 60% and AUC of 0.594 (P = 0.013). Meanwhile, using a cut-off value of 393 pg/ml, serum IFN-? provided superior monitoring efficacy, with a sensitivity of 60%, specificity of 64% and AUC of 0.651 (P = 0.017). In conclusion, both serum TNF-? and IFN-? levels might be useful biomarkers for monitoring treatment progress.

SUBMITTER: Nie W

PROVIDER: S-EPMC7885884 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Value of serum cytokine biomarkers TNF-α, IL-4, sIL-2R and IFN-γ for use in monitoring bacterial load and anti-tuberculosis treatment progress.

Nie Wenjuan W Wang Jun J Jing Wei W Shi Wenhui W Wang Qingfeng Q Huang Xuerui X Cai Baoyun B Ge Qiping Q Nie Lihui L Han Xiqin X Du Yadong Y Wang Jing J Guo Ru R Chu Naihui N

Cytokine: X 20200513 2

Tuberculosis (TB) patient serum cytokine levels may be predictive of anti-tuberculosis treatment progress. Here, serum levels of cytokines TNF-α, IL-4, sIL-2R and IFN-γ were measured then correlated to clinical TB manifestations, bacterial burden, chest imaging findings and clinical course. Study subjects included 67 newly diagnosed pulmonary TB (PTB) patients with active disease admitted to Beijing Chest Hospital for anti-TB chemotherapeutic treatment. Blood was drawn at 0 months (pre-treatment ...[more]

PMID: 33604556

Similar Datasets

Project description:The clinical features of psoriasis, characterized by sharply demarcated scaly erythematous plaques, are typically so distinctive that a diagnosis can easily be made on these grounds alone. However, there is great variability in treatment response between individual patients, and this may reflect heterogeneity of inflammatory networks driving the disease. In this study, whole-genome transcriptional profiling was used to characterize inflammatory and cytokine networks in 62 lesional skin samples obtained from patients with stable chronic plaque psoriasis. We were able to stratify lesions according to their inflammatory gene expression signatures, identifying those associated with strong (37% of patients), moderate (39%) and weak inflammatory infiltrates (24%). Additionally, we identified differences in cytokine signatures with heightened cytokine-response patterns in one sub-group of lesions (IL-13-strong; 50%) and attenuation of these patterns in a second sub-group (IL-13-weak; 50%). These sub-groups correlated with the composition of the inflammatory infiltrate, but were only weakly associated with increased risk allele frequency at some psoriasis susceptibility loci (e.g., REL, TRAF3IP2 and NOS2). Our findings highlight variable points in the inflammatory and cytokine networks known to drive chronic plaque psoriasis. Such heterogeneous aspects may shape clinical course and treatment responses, and can provide avenues for development of personalized treatments. We used Affymetrix microarrays to evaluate genome-wide expression in primary human keratinocytes exposed to cytokines. Cytokine activity signatures were used to interpret the shifts in gene expression that occur in psoriasis plaques relative to normal uninvolved skin. Primary keratinocytes from three donors (subjects 1, 2, and 3) were obtained and were either untreated (control) or exposed to cytokines (IL-4, IL-13, IFN-alpha, IFN-gamma and TNF). For the IL17A samples, primary keratinocytes were obtained from six donors, with cells derived from three donors treated with IL-17A and cells derived from the other three donors left untreated (i.e., unpaired control samples).

Dataset Information

Value of serum cytokine biomarkers TNF-?, IL-4, sIL-2R and IFN-? for use in monitoring bacterial load and anti-tuberculosis treatment progress.

Publications

Value of serum cytokine biomarkers TNF-α, IL-4, sIL-2R and IFN-γ for use in monitoring bacterial load and anti-tuberculosis treatment progress.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets