RESUMEN
BACKGROUND: Drug-resistant tuberculosis (DR-TB), diabetes and exposure to air pollution are thought to be important threat to human health, but no studies have explored the effects of ambient air pollutants on DR-TB when adjusting diabetes status so far. METHODS: We performed a study among 3759 newly diagnosed TB cases with drug-susceptibility testing results, diabetes status, and individual air pollution data in Shandong from 2015 to 2019. Generalized linear mixed models (GLMM) including three models (Model 1: without covariates, Model 2: adjusted by diabetes status only, Model 3: with all covariates) were applied. RESULTS: Of 3759 TB patients enrolled, 716 (19.05%) were DR-TB, and 333 (8.86%) had diabetes. High exposure to O3 was associated with an increased risk of RFP-resistance (Model 2 or 3: odds ratio (OR)â¯=â¯1.008, 95% confidence intervals (CI): 1.002-1.014), ethambutol-resistance (Model 3: ORâ¯=â¯1.015, 95%CI: 1.004-1.027) and any rifampicin+streptomycin resistance (Model 1,2,3: ORâ¯=â¯1.01, 95%CI: 1.002-1.018) at 90 days. In contrast, NO2 was associated with a reduced risk of DR-TB (Model 3: ORâ¯=â¯0.99, 95%CI: 0.981-0.999) and multidrug-resistant TB (MDR-TB) (Model 3: ORâ¯=â¯0.977, 95%CI: 0.96-0.994) at 360 days. Additionally, SO2 (Model 1, 2, 3: ORâ¯=â¯0.987, 95%CI: 0.977-0.998) showed a protective effect on MDR-TB at 90 days. PM2.5 (90 days, Model 2: ORâ¯=â¯0.991, 95%CI: 0.983-0.999), PM10 (360 days, Model 2: ORâ¯=â¯0.992, 95%CI: 0.985-0.999) had protective effects on any RFP+SM resistance. CONCLUSIONS: O3 contributed to an elevated risk of TB resistance but PM2.5, PM10, SO2, NO2 showed an inverse effect. Air pollutants may affect the development of drug resistance among TB cases by adjusting the status of diabetes.
Asunto(s)
Contaminación del Aire/estadística & datos numéricos , Diabetes Mellitus/epidemiología , Exposición a Riesgos Ambientales/estadística & datos numéricos , Tuberculosis Resistente a Múltiples Medicamentos/epidemiología , Adulto , Contaminantes Atmosféricos/análisis , Contaminación del Aire/efectos adversos , China/epidemiología , Humanos , Modelos Lineales , Masculino , Persona de Mediana Edad , Material Particulado/análisis , Tuberculosis Resistente a Múltiples Medicamentos/diagnósticoRESUMEN
BACKGROUND: Although the association between diabetes mellitus (DM) and tuberculosis (TB) has been well-documented for centuries, evidence of the link between diabetes and drug resistance among previously treated TB patients remains limited and inconsistent. METHODS: An observational study was performed that involved 1791 retreated TB-no DM patients (refers to TB cases without diabetes) and 93 retreated TB-DM patients (refers to TB cases with diabetes) in Shandong, China from 2004 to 2017. Baseline data including demographic and clinical characteristics, drug susceptibility test (DST) results, and diabetes status were collected. Categorical baseline characteristics were compared by Fisher's exact or Pearson Chi-square test. Univariable analysis and multivariable logistic models were used to estimate the association between diabetes and different drug resistance profiles. RESULTS: Retreated TB-DM patients have a higher rate of drug resistance than TB-no DM patients (34.41% vs 25.00%, P < 0.01). Diabetes co-morbidity was significantly associated with any drug-resistant tuberculosis (DR-TB, odds ratio (OR):1.56, 95% confidence interval (CI): 1.01-2.43), multidrug resistant tuberculosis (MDR-TB, OR: 2.48, 95%CI:1.39-4.41; adjusted OR (aOR):2.94, 95%CI:1.57-5.48), isoniazid-related resistance (OR:1.71, 95%CI:1.04-2.81), rifampin-related resistance (OR:2.56, 0.54, 95%CI: 1.54-4.26; aOR:2.69, 95%CI:1.524-4.74), isoniazid + rifampin resistance (OR: 3.55, 95%CI:1.33-9.44; aOR:4.13, 95%CI:1.46-11.66), any resistance to isoniazid + streptomycin (OR:2.34, 95%CI:1.41-3.89; aOR:2.22, 95%CI:1.26-3.94), and any resistance to rifampin + isoniazid (OR:2.48, 95%CI:1.39-4.41; aOR:2.94, 95%CI: 1.57-5.48), compared with pan susceptible TB cases, P < 0.05. CONCLUSIONS: The risk of acquired drug resistance increased significantly among retreated TB-DM patients compared with retreated TB-no DM patients, underlining the necessity of more interventions during the clinical management of TB-DM cases.
Asunto(s)
Antituberculosos/farmacología , Diabetes Mellitus/epidemiología , Farmacorresistencia Bacteriana , Mycobacterium tuberculosis/efectos de los fármacos , Tuberculosis/epidemiología , Tuberculosis/microbiología , Adolescente , Adulto , Anciano , Niño , Preescolar , China , Comorbilidad , Resistencia a Múltiples Medicamentos , Femenino , Humanos , Lactante , Masculino , Persona de Mediana Edad , Factores de Riesgo , Adulto JovenRESUMEN
AIM: To investigate the roles of Th17 lymphocytes and its inflammatory cytokines in airway inflammation exacerbation of murine asthmatic model. METHODS: Twenty mice were randomized into control group and asthma group. For the murine asthma model, the mice were sensitized and challenged with ovalbumin (OVA). The control mice were given normal saline alone under the same conditions as the asthma group. We observed the changes in cellular proportions in the bronchoalveolar lavage fluid (BALF) under a light microscope and the histological changes in lung tissue by HE staining. The levels of IL-4, IFN-γ and IL-17 were detected by ELISA. Th1, Th2 and Th17 cells in the peripheral blood were detected by flow cytometry. We did a correlation analysis between Th1, Th2 and Th17 cells in the peripheral blood and neutrophils in BALF. RESULTS: The total cell number and the percentages of neutrophils, eosinophils and lymphocytes in BALF of the asthmatic mice were significantly higher than those in the control mice (P<0.05). The neutrophils and eosinophils infiltration in pulmonary tissue was also dramatically detected in asthmatic mice. The levels of IL-4 and IL-17 were significantly higher than those in the control mice (P<0.05), while the level of IFN-γ was much lower than in the control mice (P<0.05). Besides, the percentages of Th2 and Th17 cells in peripheral blood were significantly higher in the asthmatic mice than in the control mice (P<0.05). The expression of Th17 was positively correlated with the levels of neutrophils in BALF(r(Th17);=0.394, P<0.05), and the expression of Th1 was negatively correlated with the level of neutrophils in BALF (r(Th1);=-0.446, P<0.05). CONCLUSION: Th17 cells could induce the recruitment of inflammatory cytokines and neutrophils into airways, which might aggravate the asthmatic inflammation and be related with asthma exacerbation.