Zheng Cai's research while affiliated with Air Force Engineering University, China and other places

Objectives To study the characteristics of intestinal microbiota at different stages of Mycobacterium tuberculosis infection. Methods Fecal samples of 19 active tuberculosis (ATB) patients, 21 latent tuberculosis infection (LTBI) individuals, and 20 healthy controls (HC) were collected. Gut microbiota of all the participants were analyzed by 16S rDNA sequencing. Clinical information of ATB patients was also collected and analyzed. Results Both ATB and LTBI groups showed significant decreases in microbial diversity and decline of Clostridia. For ATB patients, bacteria within phylum Proteobacteria increased. While for LTBI individuals, genera Prevotella and Rosburia enriched. The abundance of Faecalibacterium, Clostridia and Gammaproteobacteria has the potential to diagnose ATB, with the area under the curve (AUC) of 0.808, 0.784 and 0.717. And Prevotella and Rosburia has the potential to diagnose LTBI, with the AUC of 0.689 and 0.689. Notably, in ATB patients, the relative abundance of Blautia was negatively correlated with the proportions of peripheral T cells and CD8⁺T cells. And serum direct bilirubin was positively correlated with Bacteroidales, while negatively correlated with Clostridiales in ATB patients. Conclusions The specifically changed bacteria are promising markers for ATB and LTBI diagnosis. Some gut bacteria contribute to anti-MTB immunity through interactions with T cells and bilirubin.

Objective To investigate the characteristic of nasopharyngeal microbiota at different states of Mycobacterium tuberculosis (MTB) infection. Methods Participants were recruited from a chest hospital and were divided into three groups: the active tuberculosis (ATB) group, the latent TB infection (LTBI) group and the healthy control (HC) group. Nasopharyngeal microbiota was analyzed by 16S rRNA sequencing and clinical laboratory test results of ATB patients were collected and statistically analyzed. Results Eleven ATB patients, 19 LTBI individuals and 18 healthy controls were included. Compared with LTBI group, Proteobacteria (P=0.04) and Gammaproteobacteria (P=0.01) increased in the ATB group. Compared with HC group, Pseudomonadales (P=0.03) and Moraxellaceae (P=0.04) increased, while Bacillales (P=0.04) and Lachnospiraceae (P=0.03) decreased in ATB group. Furthermore, Staphylococcus and Corynebacterium accounted for 70–80% in HC and LTBI groups. While in ATB group, they were less than 40%. Moreover, relative abundance of Corynebacterium, Corynebacteriaceae and Mycobacteriales was positively correlated with serum adenosine deaminase while negatively correlated with albumin, hemoglobin, and platelet counts in ATB patients. Conclusions The composition of nasopharyngeal microbiota changed significantly after MTB infection. The correlations between Corynebacterium and nutritional status (hemoglobin and albumin), immune-related molecules (adenosine deaminase) and inflammation-related indicators (platelet) in ATB patients deserve further exploration.

Background The Mycobacterial heparin-binding hemagglutinin (HBHA) is an important latency-associated antigen that can be used to distinguish between latent tuberculosis infection (LTBI) and active tuberculosis (ATB). Although many studies were explored the efficiency of the HBHA-induced interferon-γ release assay (IGRA) in different populations, the clinical differential value of HBHA-IGRA is still controversial. Therefore, the aim of this study was to determine whether the HBHA-IGRA can be used as an efficient test for the discrimination of LTBI and ATB by a systematic review and meta-analysis. Methods Relevant articles were retrieved from PubMed, Embase, Web of Science, and the Cochrane Library on Oct 18, 2020, with no start date limitation. The quality of each study was evaluated using Review Manager 5.4. The Stata MP v.14.0 software was used to combine sensitivity, specificity, likelihood ratio (LR), diagnostic odds ratio (DOR), summary receiver operating characteristic (SROC) curve, and area under SROC (AUC) to evaluate the diagnostic value of HBHA-IGRA for discrimination of LTBI and ATB. Meta-regression and subgroup analysis were performed for the sources of heterogeneity based on the selection criteria for active TB, the population, the TB burden, the type of antigen, the type of sample, and the time of antigen stimulation. Results A total of 13 studies (14 results) were included in this meta-analysis, including 603 ATB patients and 514 LTBI individuals. The pooled sensitivity and specificity of the HBHA-IGRA for discrimination of the LTBI and ATB were 0.70 (95% CI, 0.57~0.80) and 0.78 (95% CI, 0.71~0.84), respectively. The pooled positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were 3.15 (95%CI, 2.43~4.09), 0.39 (95% CI, 0.27~0.56), and 8.11 (95% CI, 4.81~13.67), respectively. The AUC was 0.81 (95% CI, 0.77~0.84). The subgroup analysis showed that the main source of heterogeneity was due to the HIV-infected population incorporated, and the different selection criteria of active TB subjects would also lead to the variation of the pooled sensitivity and specificity. Different TB burdens, HBHA antigen types, sample types, antigen stimulation time and BCG vaccination did not affect the heterogeneity in this analysis. Conclusion The HBHA-IGRA is a promising immunodiagnostic test for discrimination of latent and active TB, which can be added in commercial IGRAs to enhance the differential diagnostic performance.

Th17-mediated mucosal inflammation is related to increased Prevotella bacterial abundance. The actual involvement of Prevotella in the development and accumulation of intestinal Th17 cells at a steady state, however, remains undefined. Herein, we investigated the role of Prevotella in inducing intestinal Th17 cells in mice. Mice were treated with a combination of broad-spectrum antibiotics (including ampicillin, neomycin sulfate, vancomycin hydrochloride, and metronidazole) in their drinking water for 4 weeks and then gavaged with Prevotella for 4 weeks. After inoculation, 16S rDNA sequencing was used to verify the colonization of Prevotella in the colon of mice. The IL-17A as well as IL-17A-expressing T cells was localized and quantified by an immunofluorescence assay (IFA) of colon sections. Th17 cells in the mesenteric lymph nodes of mice were counted by flow cytometry. Systemic immune response to Prevotella colonization was evaluated based on the serum levels of IL-6, TNF-α, IL-1β, IL-17A, IL-10, IL-4, IFN-γ, and IL-2. Th17-polarizing cytokines (IL-6, TNF-α, IL-1β, and IL-2) induced by Prevotella were evaluated by stimulation of bone marrow-derived dendritic cells (BMDCs). Results revealed that after inoculation, Prevotella successfully colonized the intestine of mice and induced the production and accumulation of colonic Th17 cells in the colon. Moreover, Prevotella elevated some of the Th17-related cytokines in the serum of mice. And Th17-polarizing cytokines (IL-6 and IL-1β) produced by BMDCs were mediated mainly through the interaction between Prevotella and Toll-like receptor 2 (TLR2). In conclusion, our data suggest that Prevotella induces the production of Th17 cells in the colon of mice, thus highlighting the potential role of Prevotella in training the intestinal immune system.