Decreased expression of NAT10 in peripheral blood mononuclear cells from new-onset ankylosing spondylitis and its clinical significance.

BACKGROUND: NAT10 is the firstly recognized RNA acetyltransferase that participates in multiple cellular biological processes and human disease. However, the role of N-acetyltransferase 10 (NAT10) in ankylosing spondylitis (AS) is still poorly elaborated. METHODS: Fifty-six patients with New-Onset AS, 52 healthy controls (HC), 20 patients with rheumatoid arthritis (RA) and 16 patients with systemic lupus erythematosus (SLE) were recruited from The First Afliated Hospital of Nanchang University, and their clinical characteristics were recorded. The expression level of NAT10 in peripheral blood mononuclear cell (PBMC) was examined using reverse transcription-quantitative PCR analysis. The correlations between the expression level of NAT10 in the New-Onset AS patients and disease activity of AS were examined, and receiver operating characteristic (ROC) curves were built to evaluate predictive value in AS. Univariate analysis and multivariate regression analysis were used to analyze the risk factors and construct predictive model. RESULTS: The mRNA expressions of NAT10 in PBMC from new-onset AS patients were significantly low and there were negative correlation between mRNA NAT10 and ASDAS-CRP, BASDIA in new-onset AS patients. ROC analysis suggested that mRNA NAT10 has value in distinguishing new-onset AS patients from HC, RA and SLE. Furthermore, a novel predictive model based on mRNA NAT10 and neutrophil percentages (N%) was constructed for distinguishing new-onset AS patients from HC (AUC = 0.880, sensitivity = 84.62%, specificity = 76.92%) and the predictive model correlated with the activity of new-onset AS. Furthermore, the predictive model could distinguish new-onset AS patients from RA and SLE (AUC = 0.661, sensitivity = 90.38%, specificity = 47.22%). Moreover, the potential predictive value of the combination of predictive model-HLA-B27 for AS vs. HC with a sensitivity of 92.86% (39/42), a specificity of 100.00% (52/52) and an accuracy of 96.81% (91/94) was superior to that of HLA-B27, which in turn had a sensitivity of 84.44% (38/45), a specificity of 100.00% (52/52) and an accuracy of 92.78% (90/97). CONCLUSION: The present study suggested that the decreased mRNA NAT10 may play a role in AS pathogenesis and predictive model based on mRNA NAT10 and N% act as bioindicator for forecast and progression of diseases.

Assessing environmental impact of textile production with water alkalization footprint.

The dyeing process contributes most to the water consumption and wastewater emission associated with the textile industry, leading to water depletion and degradation. The water footprint is an effective concept for evaluating the environmental impact of textile production processes on water bodies, and serves as a reference for practitioners seeking to develop suitable water management strategies. Water degradation can be quantified in terms of several sub-indicators, such as aquatic eutrophication, acidification, and ecotoxicity. However, some processes (such as the production of viscose fiber and dyeing) produce significant quantities of alkaline wastewater that can alkalize the receiving water bodies. In this study, we proposed the concept of water alkalization footprint to assess the potential impact of water alkalization caused by textile production. To achieve this, we constructed an evaluation framework and calculated the relevant characterization factors by considering the mechanisms of chemical reaction. A dyeing mill was selected as a case study to demonstrate the feasibility of the concept. The results indicate that the dyeing of 1 ton of viscose fabric produces a water alkalization footprint of 15.478 kg OH- equiv, and that NaOH in the wastewater from the desizing and dyeing phases was the largest contributor at 97.23%.