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Hydronephrosis is one of the most common diseases in urology. However, due to the difficulties in clinical trials and the lack of reliable

Insulin resistance (IR) is a typical sign of metabolic dysregulation caused by fine particulate matter (PM2.5), but the underlying signaling has not been clearly determined. Herein, a microfluidic liver-kidney microphysiological system (LK-MPS) is presented to assess the signaling pathways of IR generated by PM2.5 at 200 μg/mL for 24 h. The LK-MPS device consisted of a biomimetic liver-kidney architecture and reconstructed two circulation paths: the liver metabolism-kidney excretion (LM-KE) and kidney excretion-liver metabolism (KE-LM), by which PM2.5 is feasibly distributed in the two organs. Transmission electron microscopy (TEM) analysis revealed that PM2.5 can embed in the cytoplasm and nuclei, undergo transport by vesicles, and lead to the destruction of mitochondria. Further comprehensive immunofluorescence, enzyme-linked immunosorbent assays (ELISAs) and untargeted metabolomic analyses confirmed that PM2.5 disturbed the classic IRS-1/AKT signaling pathway (INSR, IRS-1, PI3K, AKT, GLUT2, GLUT4, and FOXO1 downregulated) and IR-related metabolic pathways: UDP-hexosamine (UDP-GlcNAc), gluconeogenesis (β-d-glucose 6-phosphate), and lipid biosynthesis (ceramide (Cer) and triacylglycerol (TG)) pathways, leading to the disorder of glucose levels. Collectively, these disorders aggravate hepatic and renal IR. Pearson's correlation coefficient test showed that elemental carbon (EC), polycyclic aromatic hydrocarbons (PAHs), and metals (Ca, Co, and V) were negatively correlated to the dysregulated proteins (INSR, IRS-1, AKT, FOXO1, GLUT2, and GLUT4). These findings may partially explain IR-related signaling pathways triggered by PM2.5.

Taking advantage of the diversity-oriented synthesis strategy with α,β-unsaturated carbonyl compounds, we have successfully established the DNA-compatible transformations for various heterocyclic scaffolds. The ring-closure reactions for pyrrole, pyrrolidine, pyrazole, pyrazoline, isoxazoline, pyridine, piperidine, cyclohexenone, and 5,8-dihydroimidazo[1,2-a]pyrimidine were elegantly demonstrated in a DNA-compatible format. These efforts paved the way for preparing DNA-encoded libraries with more extensive chemical space.

Fine particulate matter (PM2.5)-induced metabolic diseases have attracted a great deal of attention recently. However, the relevant metabolic mechanisms of PM2.5 in vivo have not yet been fully described due to the lack of reliable platforms. Herein, a membrane-free liver-gut-on-chip (L-GOC) platform was developed to investigate metabolism dysregulation induced by PM2.5. A multiple organ system with a liver-gut structure and two circulation paths (L-G and G-L circulation paths) was created, and then cells were exposed to PM2.5 on this platform. Secreted high-density lipoprotein (HDL) levels were detected, which demonstrates that this multiple organ system functioned with normal physiological metabolism at the organ level. Untargeted metabolomic analysis showed that there were 364 metabolites of LO2 cells dysregulated after exposure to PM2.5 at a concentration of 200 μg/mL. Moreover, cholesterol and bile acid metabolism were significantly dysregulated. Further immunofluorescence and ELISA assays confirmed that signal transduction pathways related to cholesterol metabolism (LCAT-CE, PON1-HDL, and SRB1-HDL metabolic pathways) and bile acid metabolism (CYP7A1-CA/CDCA/DCA metabolic pathways) were disturbed. These results indicate that PM2.5 primarily disturbed cholesterol metabolism of the liver and then disrupted bile acid metabolism of the liver (primary bile acid biosynthesis) and gut (secondary bile acid biosynthesis) via related metabolic pathways. These findings may partially explain the metabolic mechanisms of cells triggered by PM2.5 exposure.

Mesothelin (MSLN) is considered as a potential serological tumor biomarker for early diagnosis of pancreatic cancer. Nevertheless, low sensibility, high reagent consumption, and time costs of traditional detection methods limit their utility in clinical disease diagnoses. Here, we combined the immunoassay technique with microfluidic chips to develop a microfluidic immunoassay system (MIAS) that can be used for rapid semi-quantitative detection of serum MSLN levels. The MIAS was composed of 12 uniform structures, including 12 inlets, 12 reaction chambers, and one outlet allowing measurement of four samples with three repeats, simultaneously. A unique microarray cylinder was located at the end of each reaction chamber where immunoassay was performed to trap microspheres. A feasible interception efficiency (∼80%) was attained, with microspheres filling the reaction column. It has been demonstrated that fluorescence intensity is proportional to the MSLN concentration on the MIAS (R2 = 0.95). Subsequently, 16 clinical serum samples collected from Changhai Hospital, Shanghai were selected from eight patients with pancreatic cancers, four with pancreatitis, and four with other digestive system diseases (2 gastric cancer, 1 bile duct stricture, and 1 bile duct stones). MSLN levels for these samples were detected via MIAS. The results showed a significant correlation between MIAS and traditional enzyme-linked immunosorbent assay (ELISA), with the correlation coefficient, 0.93. The detection limit of MSLN fluorescence intensity and concentration was ∼6 a.u. and ∼20 pg/mL, respectively. The entire duration of analysis by MIAS decreased to ∼40 min compared to 2 h by ELISA. Statistical analysis of MIAS data revealed that MSLN was overexpressed in pancreatic cancer than in the others (P value = 0.0014). Moreover, the diagnostic accuracies of MSLN detected by MIAS and CA19-9 detected by ELISA in hospitals were 87.5 and 81.3%, respectively. MSLN is helpful for the early diagnosis of pancreatic cancer and other diseases, and it had a significant ability to discriminate between pancreatic and nonpancreatic cancers (P value = 0.0159). The results from this study show that MIAS has the potential to become a new serological tumor marker detection platform for rapid detection and semi-quantitative determination of MSLN and would have broad applications in early clinical diagnosis.

Airborne fungi, including Aspergillus species, are the major causes of human asthma. Direct capture and analysis of pathogenic fungi in indoor air is important for disease prevention and control. In this paper, we demonstrated an integrated microfluidic system capable of enrichment and high-throughput detection for airborne fungal spores of Aspergillus niger, a well-known allergenic harmful species. The microfluidic system allowed semiquantitative detection of Aspergillus niger spores based on immunofluorescence analysis. To assess its contaminated level, the whole analysis time could be completed in 2-3 h including ∼1 h of enrichment and ∼1 h of target detection. The detection limit was ∼20 spores, equivalent to ∼300 spores·m-3 of the concerned targets in air. In addition, the microfluidic system has integrated sampling and sample analysis to avoid additional sample concentration step, showing the potential for point-of-care detection for other pathogenic fungal spores.

PM2.5 (particulate matter less than 2.5 μm in diameter) is considered as a harmful carcinogen. Determining the precise relationship between the chemical constituents of PM2.5 in the air and cancer progression could aid the treatment of environment related disease and establishing risk reduction strategies. Herein, we used transcriptomics (RNA-seq) and an integrated microfluidic system to identify the global gene expression and differential target proteins expression induced by ambient fine particles collected from the heavy haze in China. The results clearly indicated that cancer related pathways exhibited the strongest dysregulation. The ambient fine particles could be uptaken into the cells by pinocytosis, mainly promoting the PI3K-Akt pathway, FGF/FGFR/MAPK/VEGF signaling, and the JAK-STAT pathway, leading to evading apoptosis, sustained angiogenesis, and cell proliferation, which are the most important hallmarks of cancer. And fine particles also have been demonstrated to create intracellular reactive...

Rapid capture and detection of airborne pathogen are essential for disease prevention and public safety. In this study, we presented a microfluidic system that could capture and enrich airborne pathogens as well as performing high-throughput LAMP analysis. The system was validated by five species of bacteria and showed good stability and specificity. Detection limit down to approximately 24 cells per reaction was achieved for Staphylococcus aureus, and without the process of DNA purification. To the best of our knowledge, this is the first report to describe a microfluidic system for airborne pathogen capture and high-throughput LAMP analysis. The results could be detected by the naked eye, suggesting that the system could have great potential application in clinical diagnostics and point-of-care detection.

Highly efficient capture and enrichment is always the key for rapid analysis of airborne pathogens. Herein we report a simple microfluidic device which is capable of fast and efficient airborne bacteria capture and enrichment. The device was validated with Escherichia coli (E. coli) and Mycobacterium smegmatis. The results showed that the efficiency can reach close to 100% in 9 min. Compared with the traditional sediment method, there is also great improvement with capture limit. In addition, various flow rate and channel lengths have been investigated to obtain the optimized condition. The high capture and enrichment might be due to the chaotic vortex flow created in the microfluidic channel by the staggered herringbone mixer (SHM) structure, which is also confirmed with flow dynamic mimicking. The device is fabricated from polydimethylsiloxane (PDMS), simple, cheap, and disposable, perfect for field application, especially in developing countries with very limited modern instruments.