Chlorella alleviates the intestinal damage of tilapia caused by microplastics.

Polyethylene microplastics (MPs) of the different sizes may result in different response in fish. Studies showed microorganisms adhered to the surface of MPs have toxicological effect. Juveniles tilapia (Oreochromis niloticus, n = 600, 26.5 ± 0.6 g) were dispersed into six groups: the control group (A), 75 nm MP exposed group (B), 7.5 µm group (C) and 750 (D) µm group, 75 nm + 7.5 µm+750 µm group (E) and 75 nm + Chlorella vulgaris group (F), and exposed for 10 and 14 days. The intestinal histopathological change, enzymic activities, and the integrated "omics" workflows containing transcriptomics, proteomics, microbiota and metabolomes, have been performed in tilapia. Results showed that MPs were distributed on the surface of goblet cells, Chlorella group had severe villi fusion without something like intestinal damage, as in other MPs groups. The intestinal Total Cholesterol (TC, together with group E) and Tumor Necrosis Factor α (TNFα, except for group B) contents in group F were significantly increased, cytochrome p450 1a1 (EROD, group B and E) significantly increased, adenosine triphosphate (ATP), lipoprotein lipase (LPL) and caspase 3 (except group B) also significantly increased at 14 d. At 14 days, group E saw considerably higher regulation of the actin cytoskeleton, focal adhesion, insulin signaling pathway, and AGE-RAGE signaling pathway in diabetes complications. Whereas, chlorella enhanced the focal adhesion, cytokine-cytokine receptor interaction, and MAPK signaling pathways. PPAR signaling pathway has been extremely significantly enriched via the proteomics method. Candidatus latescibacteria, C. uhrbacteria, C. abyssubacteria, C. cryosericota significantly decreased caused by MPs of different particle sizes. Carboxylic acids and derivatives, indoles and derivatives, organooxygen compounds, fatty acyls and organooxygen compounds significantly increased with long-term duration, especially PPAR signaling pathway. MPs had a size-dependent long-term effect on histopathological change, gene and protein expression, and gut microbial metabolites, while chlorella alleviates the intestinal histopathological damage via the integrated "omics" workflows.

Differences in the diagnostic and prognostic values of urine biomarkers for acute kidney injury in patients with or without acute respiratory distress syndrome / 医学研究生学报

Objective The purpose of study was to investigate the differences in the value of urine acute kidney injury ( AKI) biomarkers in the diagnosis and prognosis of AKI in patients with or without acute respiratory distress syndrome ( ARDS ) . Methods We collected the clinical data about 304 ICU patients, in-cluding 105 ARDS (49 in the lungs and 48 outside the lungs) and 199 non-ARDS cases.Using ELISA, we determined the levels of uN-GAL, uL-FABP, uKIM-1, and uIL-18 in the first 48 hours, compared the clinical data and AKI biomarkers between different groups of patients.We analyzed the differences in the diagnostic value of the AKI biomarkers using the ROC curve and their value in predicting hospital mortality by logistic regression analysis. Results Compared with the patients without AKI, the AKI cases exhibited a signif-icantly increased level of uKIM-1 (1.02 [0.57, 3.01] vs 4.68 [54.74, 270.54], P=0.000) in the ARDS group and that of uL-FABP in the non-ARDS group (102.69 [37.98, 348.09] vs 53.52 [10.86, 141.39], P=0.009).In the ARDS group, the area under the ROC curve (AUC) for the combined efficiency of the four AKI biomarkers was 0.81 (95% CI 0.70-0.92), markedly higher than that of uNGAL (0.57 [95%CI 0.43-0.70]), uL-FABP (0.55 [95%CI 0.39-0.71]), and uIL-18 (0.56 [95%CI 0.40-0.72]) alone (P<0.05), so was the AUC for the combined efficiency of the four biomarkers than that of each biomarker alone in the patients with ARDS in or outside the lungs (P<0.05).The OR value of uKIM-1 for predicting hospital mortality was 1.529 (95%CI 1.148-2.036) in the ARDS group, 1.593 (95%CI 1.070-2.369) in the patients with ARDS in the lungs, and 1.512 (95%CI 1.005-2.274) in those with ARDS outside the lungs. Conclusion There were differences of diagnostic and predictive value of Urine AKI biomarkers have different values in the diagnosis and prognosis of AKI in ARDS and non-ARDS patients and in those with ARDS in or outside the lungs.