Sulfurized NiFe2O4 Electrocatalyst with In Situ Formed Fe-NiOOH Nanoparticles to Realize Industrial-Level Oxygen Evolution.

Constructing composite catalysts with refined geometric control and optimal electronic structure provides a promising route to enhance electrocatalytic performance toward the oxygen evolution reaction (OER). Herein, a composite catalyst is prepared with multiple components using chemical vapour deposition method to transform crystalline NiFe2O4 into crystalline NiFe2O4@amorphous S-NiFe2O4 with core-shell structure (C-NiFe2O4@A-S-NiFe2O4), and Fe-NiOOH nanoparticles are subsequently in situ generated on its surface during the process of electrocatalytic OER. The C-NiFe2O4@A-S-NiFe2O4 catalyst exhibits a low overpotential of 275 mV while possessing an excellent stability for 500 h at 10 mA cm-2. The anion exchange membrane water electrolyzer with C-NiFe2O4@A-S-NiFe2O4 anode catalyst obtains a current density of 4270 mA cm- 2 at 2.0 V. Further, in situ Raman spectroscopy result demonstrates that in situ generated Fe-NiOOH nanoparticles are revealed to act as the catalytic active phase for catalyzing the OER. Besides, introducing A-S-NiFe2O4 in C-NiFe2O4@A-S-NiFe2O4 facilitates the formation of Fe-NiOOH nanoparticles with high-valency Ni, thus increasing the proportion of lattice oxygen-participated OER. This work not only provides an alternative strategy for the design of high-performance catalysts, but also lays a foundation for the exploration of catalytic mechanisms.

Analysis of use of different rFSHs during IVF/ICSI-assisted conception in elderly population and effect of double trigger on clinical outcomes.

OBJECTIVE: To compare the number of oocytes retrieved and clinical outcomes of ovulation induction in an older population treated with in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) (IVF/ICSI) using different rFSH options and the effectiveness of antagonist treatment to induce ovulation using gonadotropin-releasing hormone agonists (GnRH-a) in combination with an human chorionic gonadotropin (HCG) trigger. METHODS: A total of 132 fresh cycles were selected for this study, which were treated with IVF/ICSI in our hospital from March 2022 to December 2022. Observations were made according to different subgroups and the effects of different triggering methods on the number of oocytes obtained, embryo quality, and clinical outcomes. RESULTS: The initial gonadotropin (Gn) dose, the number of oocytes, and the number of MII oocytes were higher in group A than in group B (p < .05), and the clinical pregnancy rate was 29.41% in group A. Group B had a clinical pregnancy rate of 27.5%. The double-trigger group was superior to the HCG-trigger group in terms of the number of 2PN, the number of viable embryos, and the number of high-quality embryos (p < .05). The use of a double-trigger regimen (OR = 0.667, 95%CI (0.375, 1.706), p = .024) was a protective factor for the clinical pregnancy rate, whereas AFC (OR = 0.925, 95%CI (0.867, 0.986), p = .017) was an independent factor for the clinical pregnancy rate. CONCLUSIONS: The use of a dual-trigger regimen of GnRH-a in combination with HCG using an appropriate antagonist improves pregnancy outcomes in fresh embryo transfer cycles in older patients.

Metabolism-Triggered Plasmonic Nanosensor for Bacterial Detection and Antimicrobial Susceptibility Testing of Clinical Isolates.

Antimicrobial resistance (AMR) is predicted to become the leading cause of death worldwide in the coming decades. Rapid and on-site antibiotic susceptibility testing (AST) is crucial for guiding appropriate antibiotic choices to combat AMR. With this in mind, we have designed a simple and efficient plasmonic nanosensor consisting of Cu2+ and cysteine-modified AuNP (Au/Cys) that utilizes the metabolic activity of bacteria toward Cu2+ for bacterial detection and AST. When Cu2+ is present, it induces the aggregation of Au/Cys. However, in the presence of bacteria, Cu2+ is metabolized to varying extents, resulting in distinct levels of aggregation. Moreover, the metabolic activity of bacteria can be influenced by their antibiotic susceptibility, allowing us to differentiate between susceptible and resistant strains through direct color changes from the Cu2+-Au/Cys platform over approximately 3 h. These color changes can be easily detected using naked-eye observation, smartphone analysis, or absorption readout. We have validated the platform using four clinical isolates and six types of antibiotics, demonstrating a clinical sensitivity and specificity of 95.8%. Given its simplicity, low cost, high speed, and high accuracy, the plasmonic nanosensor holds great potential for point-of-care detection of antibiotic susceptibility across various settings.

Pros and Cons in Various Immobilization Techniques and Carriers for Enzymes.

In recent years, enzyme immobilization technology has been developed, and studies on immobilized enzyme materials have become very prominent. With the immobilization technique, enzymes and compatible carrier materials are combined or enzyme crystals/aggregates are used in a carrier-free fashion, by physical, chemical, or biochemical methods. As a kind of biocatalyst, immobilized enzymes can catalyze certain chemical reactions with high selectivity and high efficiency under relatively mild reaction conditions and eliminate pollution to the environment. Considering the current status and applications of immobilized enzyme technology and materials emerging in the last 5 years, this mini-review introduces the advantages and disadvantages of various enzyme immobilization techniques with carriers as well as the pros and cons of different materials for immobilization. The future prospects of immobilization technology and carrier materials are outlined, aiming to provide a reference for further research and applications of sustainable technology.

Association of Sodium-Glucose Cotransporter-2 Inhibitors vs Dipeptidyl Peptidase-4 Inhibitors With Pneumonia, COVID-19, and Other Adverse Respiratory Events in Patients With Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis.

OBJECTIVE: Our aim in this study was to systematically assess the association of sodium-glucose cotransporter-2 inhibitors (SGLT2i) vs dipeptidyl peptidase-4 inhibitors (DPP4i) with pneumonia, COVID-19, and adverse respiratory events in patients with type 2 diabetes mellitus (DM). METHODS: PubMed, Embase, and Cochrane Library databases were retrieved to include studies on DM patients receiving SGLT2i (exposure group) or DPP4i (control group). Stata version 15.0 statistical software was used for the meta-analysis. RESULTS: Ten studies were included, all 10 of which were used for the qualitative review and 7 for the meta-analysis. According to the meta-analysis, patients receiving SGLT2i had a lower incidence of pneumonia (odds ratio [OR] 0.62, 95% confidence interval [CI] 0.51 to 0.74) and pneumonia risk (OR 0.63, 95% CI 0.60 to 0.68, p=0.000) compared with those receiving DPP4i. The same situation was seen for mortality for pneumonia (OR 0.49, 95% CI 0.39 to 0.60) and pneumonia mortality risk (OR 0.47, 95% CI 0.42 to 0.51). There was lower mortality due to COVID-19 (OR 0.31, 95% CI 0.28 to 0.34) and a lower hospitalization rate (OR 0.61, 95% CI 0.56 to 0.68, p=0.000) and incidence of mechanical ventilation (OR 0.69, 95% CI 0.58 to 0.83, p=0.000) due to COVID-19 in patients with type 2 DM receiving SGLT2i. Qualitative analysis results show that SGLT2i were associated with a lower incidence of COVID-19, lower risk of obstructive airway disease events, and lower hospitalization rate of health-care-associated pneumonia than DPP4i. CONCLUSION: In patients with type 2 DM, SGLT2i are associated with a lower risk of pneumonia, COVID-19, and mortality than DPP4i.

Identification of MORN3 and LLGL2 as novel diagnostic biomarkers for latent tuberculosis infection using machine learning strategies and experimental verification.

BACKGROUND: Current diagnostic methods cannot effectively distinguish between latent tuberculosis infection (LTBI) and active tuberculosis (ATB). This study aims to explore novel non-invasive diagnostic biomarkers for LTBI and to elucidate possible molecular mechanisms of LTBI pathogenesis. METHODS: Three GEO datasets (GSE19439, GSE19444, and GSE62525) were utilized to analyze the differentially expressed genes (DEGs). Functional enrichment studies were then performed on these DEGs. To ascertain potential diagnostic biomarkers, we utilized two different machine learning techniques: LASSO and RF. ROC curves were constructed in both the training and validation datasets to assess the diagnostic efficacy. The expression of identified biomarkers was verified by RT-qPCR in our own Chinese cohort. Using CIBERSORT, we estimated the abundances of 22 immune cell types in LTBI group, and subsequently analyzed the relationship between biomarker expression and immune cell infiltration. RESULTS: 166 DEGs were identified between ATB and LTBI groups, which are primarily associated with immune responses, inflammatory signaling pathways, and infection factors. Following that, 22 candidate diagnostic biomarkers for LTBI were selected in the machine learning process. Three up-regulated genes, MORN3, LLGL2, and IFT140, whose expression levels were not previously reported in TB, were validated using the training and validation cohort datasets. In our own Chinese cohort, we also found that MORN3 and LLGL2 showed good diagnostic effect using RT-qPCR method. Finally, we revealed the specific infiltration features of immune cells in LTBI and observed a notable correlation between potential marker expression and immune cells. CONCLUSIONS: MORN3 and LLGL2 emerged as candidate diagnostic biomarkers for LTBI, following the elucidation of the key immune cell types involved. Our findings will contribute to providing a potential target for early noninvasive diagnosis of LTBI patients.

YWHAG promotes colorectal cancer progression by regulating the CTTN-Wnt/ß-catenin signaling axis.

Colorectal cancer (CRC) ranks as the third most prevalent cancer type globally. Nevertheless, the fundamental mechanisms driving CRC progression remain ambiguous, and the prognosis for the majority of patients diagnosed at an advanced stage is dismal. YWHA/14-3-3 proteins serve as central nodes in several signaling pathways and are closely related to tumorigenesis and progression. However, their exact roles in CRC are still poorly elucidated. In this study, we revealed that YWHAG was the most significantly upregulated member of the YWHA/14-3-3 family in CRC tissues and was associated with a poor prognosis. Subsequent phenotypic experiments showed that YWHAG promoted the proliferation, migration, and invasion of CRC cells. Mechanistically, RNA-seq data showed that multiple signaling pathways, including Wnt and epithelial-mesenchymal transition, were potentially regulated by YWHAG. CTTN was identified as a YWHAG-associated protein, and mediated its tumor-promoting functions by activating the Wnt/ß-catenin signaling in CRC cells. In summary, our data indicate that YWHAG facilitates the proliferation, migration, and invasion of CRC cells by modulating the CTTN-Wnt/ß-catenin signaling pathway, which offers a novel perspective for the treatment of CRC.

KIr4O8 Nanowires with Rich Hydroxyl Promote Oxygen Evolution Reaction in Proton Exchange Membrane Water Electrolyzer.

The sluggish kinetics for anodic oxygen evolution reaction (OER) and insufficient catalytic performance over the corresponding Ir-based catalysts are still enormous challenges in proton exchange membrane water electrolyzer (PEMWE). Herein, it is reported that KIr4O8 nanowires anode catalyst with more exposed active sites and rich hydroxyl achieves a current density of 1.0 A cm-2 at 1.68 V and possesses excellent catalytic stability with 1230 h in PEMWE. Combining in situ Raman spectroscopy and differential electrochemical mass spectroscopy results, the modified adsorbate evolution mechanism is proposed, wherein the rich hydroxyl in the inherent structure of KIr4O8 nanowires directly participates in the catalytic process for favoring the OER. Density functional theory calculation results further suggest that the enhanced proximity between Ir (d) and O (p) band center in KIr4O8 can strengthen the covalence of Ir-O, facilitate the electron transfer between adsorbents and active sites, and decrease the energy barrier of rate-determining step from OH* to O* during the OER.