Peculiar Behavior of Methyl Methacrylate Emulsion Polymerization-Induced Self-Assembly Mediated by RAFT Using Poly(Methacrylic Acid) Macromolecular Chain Transfer Agent.

Reversible addition-fragmentation chain transfer (RAFT) emulsion polymerization of methyl methacrylate (MMA) is successfully performed in water in the presence of a poly(methacrylic acid) (PMAA) macromolecular chain transfer agent (macroCTA) leading to the formation of self-stabilized PMAA-b-PMMA amphiphilic block copolymer particles. At pH 3.7, the reactions are well-controlled with narrow molar mass distributions. Increasing the initial pH, particularly above 5.6, results in a partial loss of reactivity of the PMAA macroCTA. The effect of the degree of polymerization (DPn) of the PMMA block, the solids content, the nature of the hydrophobic segment, and the pH on the morphology of the obtained diblock copolymer particles is then investigated. Worm-like micelles are formed for a DPn of PMMA of 20 (PMMA20), while "onion-like" particles and spherical vesicles are obtained for PMMA30 and PMMA50, respectively. In contrast, spherical particles are obtained for the DPns higher than 150. This unusual evolution of particle morphologies upon increasing the DPn of the PMMA block seems to be related to hydrogen bonds between hydrophilic MAA and hydrophobic MMA units.

Comparison of Three Detection Methods for Seoul Virus Causing Hemorrhagic Fever with Renal Syndrome.

BACKGROUND: Seoul virus (SEOV) is a significant causative pathogen of hemorrhagic fever with renal syndrome (HFRS). Accurate discrimination of SEOV infection from other viral or bacterial infections holds vital clinical importance. METHODS: Our study utilized quantitative real-time PCR (qRT-PCR), metagenomic next-generation sequencing (mNGS), and immunological assays to identify the pathogen causing HFRS. RESULTS: For the case, mNGS identified SEOV and suspected host or environmental microorganisms at 5 days from symptom onset. qRT-PCR detected SEOV between 5 to 8 days from symptom onset. Anti-hantavirus IgM antibodies reached positive criteria at 7 days and IgG antibodies at 9 days from symptom onset. CONCLUSIONS: qRT-PCR, mNGS, and immunological assays each have merits and drawbacks. Optimal selection depends on laboratory conditions and clinical requirements.

Upcycling Polyolefin Blends into High-Performance Materials by Exploiting Azidotriazine Chemistry Using Reactive Extrusion.

The revalorization of incompatible polymer blends is a key obstacle in realizing a circular economy in the plastics industry. Polyolefin waste is particularly challenging because it is difficult to sort into its constituent components. Untreated blends of polyethylene and polypropylene typically exhibit poor mechanical properties that are suitable only for low-value applications. Herein, we disclose a simple azidotriazine-based grafting agent that enables polyolefin blends to be directly upcycled into high-performance materials by using reactive extrusion at industrially relevant processing temperatures. Based on a series of model experiments, the azidotriazine thermally decomposes to form a triplet nitrene species, which subsequently undergoes a complex mixture of grafting, oligomerization, and cross-linking reactions; strikingly, the oligomerization and cross-linking reactions proceed through the formation of nitrogen-nitrogen bonds. When applied to polyolefin blends during reactive extrusion, this combination of reactions leads to the generation of amorphous, phase-separated nanostructures that tend to exist at polymer-polymer interfaces. These nanostructures act as multivalent cross-linkers that reinforce the resulting material, leading to dramatically improved ductility compared with the untreated blends, along with high dimensional stability at high temperatures and excellent mechanical recyclability. We propose that this unique behavior is derived from the thermomechanically activated reversibility of the nitrogen-nitrogen bonds that make up the cross-linking structures. Finally, the scope of this chemistry is demonstrated by applying it to ternary polyolefin blends as well as postconsumer polyolefin feedstocks.

Ferritin and procalcitonin serve as discriminative inflammatory biomarkers and can predict the prognosis of severe fever with thrombocytopenia syndrome in its early stages.

Introduction: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with high mortality. The pathophysiology of SFTS remains unclear. Hence, the identification of inflammatory biomarkers for SFTS is crucial for the timely management and prevention of disease severity. Methods: A total of 256 patients with SFTS were divided into a survivor group and a non-survivor group. Classical inflammatory biomarkers such as ferritin, procalcitonin (PCT), C-reactive protein (CRP), and white blood cells were investigated for their association with viral load and the clinical significance for predicting the mortality of patients with SFTS. Results: Serum ferritin and PCT showed a positive association with viral load. Ferritin and PCT levels in non-survivors were significantly higher than those in survivors at 7-9 days from symptom onset. The area under the receiver operating characteristic curve (AUC) values of ferritin and PCT for predicting the fatal outcome of SFTS were 0.9057 and 0.8058, respectively. However, the CRP levels and WBC counts exhibited a weak association with viral load. The AUC value of CRP for predicting mortality was more than 0.7 at 13-15 days from symptom onset. Discussion: Ferritin and PCT levels, especially ferritin, could be potential inflammatory biomarkers for predicting the prognosis of patients with SFTS in its early stages.

Association of Lipoprotein(a) Concentrations and Apolipoprotein(a) isoform with Coronary Artery Disease Stratification in Han Chinese.

BACKGROUND: The purpose of this study was to investigate the association between lipoprotein(a) [Lp(a)] concentrations, apolipoprotein(a) [apo(a)] isoform, and coronary artery disease (CAD) stratification in Han Chinese. METHODS: Logistic regression analysis was performed to analyze the association between Lp(a) concentrations, apo(a) isoform and CAD stratification. Lp(a) concentrations and apo(a) isoforms were combined with other risk factors to establish the optimal prediction model of CAD risk. RESULTS: Individuals with the top quarter of Lp(a) concentrations had more than a two-fold higher risk of stable CAD and three-fold higher risk of acute coronary syndrome (ACS) compared with those in the bottom quarter. This association was no longer significant after adjustment for apo(a) isoforms in stable CAD (OR 2.198, 95% CI 0.991 - 4.875, p = 0.053), but remained significant in the ACS (OR 3.583, 95% CI 1.278 - 5.614, p < 0.05). Individuals with small apo(a) isoforms had more than a two-fold higher risk of stable CAD and almost three-fold higher risk of ACS compared with those carrying larger apo(a) isoforms; however, this association was significantly alleviated after adjustment for Lp(a) concentrations (OR 2.133, 95% CI 0.964 - 4.742, p = 0.098; OR 2.642, 95% CI 1.032 - 5.833, p = 0.298, respectively). A combination of Lp(a) concentrations and apo(a) isoforms with other risk factors was the optimal prediction model of CAD risk (AUC 0.800, 95% CI 0.752 - 0.848, p < 0.001). CONCLUSIONS: Elevated Lp(a) concentrations and small apo(a) isoforms were significant risk factors for CAD stratification, and their effects on CAD risk were mediated by each other. Combined application of Lp(a) concentrations and apo(a) isoform with conventional risk factors could aid in the assessment and prediction of CAD.

A positive feedback loop of SIRT1 and miR17HG promotes the repair of DNA double-stranded breaks.

Long noncoding RNAs (lncRNAs) have emerged as critical regulators for gene expression in multiple levels and thus are involved in various physiological and pathological processes. Sirtuin 1 (SIRT1) has been established to exert key roles in the diverse biological process through deacetylation of substrates, including DNA damage repair. Nevertheless, the regulatory relationship between SIRT1 and lncRNAs, and the effect of lncRNA on SIRT1-mediated functions were still far to be elucidated. We herein uncovered that lncRNA miR17HG was notably down-regulated in SIRT1-deficient cells, and significantly up-regulated after ectopic expression of SIRT1. Subsequently, the results of dual luciferase reporter (DLR) showed that SIRT1 dramatically enhanced the promoter activity of the miR-17-92 cluster. Furthermore, we specifically knocked down the previous demonstrated transcription factor for the miR-17-92 cluster, C-Myc, which was the validated substrate of SIRT1. As expected, miR17HG and miR-17-92 miRNAs were evidently down-regulated after silencing of C-Myc; and silencing of C-Myc significantly reversed the effect of SIRT1 on miR17HG expression, suggesting that SIRT1 endowed cells with elevated miR17HG expression through stabilization of C-Myc. What is more, silencing of miR17HG significantly inhibited the repair of DNA DSBs, while enforced expression of miR17HG promoted DSBs repair. Fascinatingly, overexpression of miR17HG evidently enhanced the deacetylation activity of SIRT1, while silencing of miR17HG conferred diminished deacetylation activity. In addition, the results of RIP unraveled the physical interaction between miR17HG and SIRT1. Taken together, we presented evidences that miR17HG and SIRT1 probably formed a positive feedback loop, which exerted a crucial effect on DSBs repair.