[Primary infection and pulmonary tuberculosis]

Quantitative proteomics reveals plasma protein profile and potential pathways in pulmonary tuberculosis patients with and without diabetes

BACKGROUND

The coexistence of pulmonary tuberculosis (PTB) and diabetes mellitus (DM) has emerged as a significant global public health concern. Patients with DM are at higher risk of developing PTB, and PTB is one of the important factors that exacerbate the development of DM. However, the impact of DM on the protein profile and underlying pathways in PTB patients is unclear.

METHODS

We systematically used data-independent acquisition (DIA)-based liquid chromatography - tandem mass spectrometry (LC-MS/MS) to identify differentially expressed proteins (DEPs) in plasma samples from PTB patients, DM combined with PTB patients, and healthy controls. Then these DEPs were analyzed by bioinformatics.

RESULTS

Our analysis identified 268 proteins, the results indicated that DEPs in the PTB group as well as in the DM-PTB group were mainly involved in immune responses, complement and coagulation cascade and cholesterol metabolic pathways compared to healthy controls.

CONCLUSIONS

We analyzed the plasma protein profiles of PTB, DM-PTB, and HC groups using proteomics techniques and identified potential pathways for PTB patients with and without DM. This provides valuable clues to explore the impact of DM on PTB.

Association of IFNGR1 and IFNG genetic polymorphisms with the risk for pulmonary tuberculosis in the Chinese Tibetan population

Interferon-gamma (IFNG) and its receptor (IFNGR1) are principal genes that associated with tuberculosis. In the current study we aimed to explore the genetic association of polymorphisms of IFNG and IFNGR1 with the risk of pulmonary tuberculosis (PTB) in the Chinese Tibetan population. We selected 467 PTB patients and 503 healthy controls to genotype 9 single nucleotide polymorphisms (SNPs). The unconditional logistic regression analysis was applied for assessing the associations, and the risk of PTB were evaluated by calculating the odds ratio (OR) and 95% confidence interval (CI). The results showed that mutants of rs9376268, rs1327475 and rs1327474 in IFNGR1 played a protective role in the PTB risk under genotype, dominant and additive model (P<0.05). On the contrary, minor allele “A” of rs2069705 in IFNG significantly increased the risk of PTB under genotype, dominant and additive model (P<0.05). However, after Bonferroni's multiple adjustment was applied to our data, which level of significant was set at P<0.0011 (0.05/45). Only variant of rs9376268 was significantly associated decrease the PTB susceptibility under additive model (OR=0.73, 95%CI=0.61-0.88, P<0.001). Furthermore, in the haplotype analysis, we found that the haplotypes “C-G-G-A-C”, “C-G-A-G-T” and “T-A-G-G-T” of rs9376267-rs9376268-rs1327475-rs7749390-rs1327474 block were extremely decreased the PTB risk (P<0.01), however, the haplotypes “C-G-G-A-T”, “T-G-G-G-T” and “C-G-G-G-T” of the block were extremely increased the PTB risk (P<0.01). These results suggested that variants of IFNGR1 may have a close relation with the PTB risk in Chinese Tibetan population.

Analysis of Plasma Cytokine and Chemokine Profiles in Patients with and without Tuberculosis by Liquid Array-Based Multiplexed Immunoassays

The aim of this study was to establish plasma cytokine/chemokine profiles in patients with 3 different presentations of active tuberculosis (TB), compared to the profiles observed in bacillus Calmette-Guérin (BCG)-vaccinated healthy individuals and patients with other pulmonary diseases (non-TB patients). To this end, plasma samples were collected from 151 TB patients including 68 pulmonary TB (PTB), 43 endobronchial TB, and 40 tuberculosis pleurisy (TP) patients, as well as 107 no-TB cases including 26 non-TB patients and 81 BCG-vaccinated healthy controls. A liquid array-based multiplexed immunoassay was used to screen plasma samples for 20 distinct cytokines and chemokines. Multinomial logistic regression was used to analyze associations between cytokines/chemokines and TB/non-TB patients. Compared to our findings with the no-TB donors, the median plasma levels of the proinflammatory cytokines/chemokines TNF-α, IL-6, IP-10, IFN-γ, and MIP-1β were significantly elevated in TB patients, suggesting their potential use as biomarkers for diagnosing TB patients. Further comparisons with healthy donors showed that only the median TNF-α plasma level was highly produced in the plasma of all 3 types of TB patients. Plasma IL-6 production was higher only in TP patients, while the plasma levels of IP-10, IFN-γ, and MIP-1β were markedly enhanced in both PTB and TP patients. Unexpectedly, among the above cytokines/chemokines, MIP-1β was also highly expressed in non-TB patients, compared with healthy donors. Our results suggested that TNF-α may be an ideal biomarker for diagnosing the 3 forms of TB presentation, while the other factors (IL-6, IP-10, MCP-1, and IFN-γ) can potentially facilitate differential diagnosis for the 3 TB presentation types. Further characterization of immune responses associated with different types of TB diseases will provide a basis for developing novel TB diagnostics.