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This study aimed to explore potential biomarkers and molecular mechanisms in preeclampsia (PE) progression. Gene expression profiles of GSE147776 and GSE96984 were downloaded, followed by the identification of common differentially expressed genes (co-DEGs) and common differentially expressed lncRNAs (co-DElncRNAs) in PE patients between the two datasets. Key genes were identified using gene set enrichment analysis (GSEA), followed by functional enrichment analyses. Subsequently, the miRNAs of key genes and miRNA-related lncRNAs were predicted, followed by the construction of the lncRNA–miRNA–gene ceRNA network. Furthermore, the key genes associated with different gestational stages were identified. As a result, 192 co-DEGs and 16 co-DElncRNAs were revealed from the two datasets. Based on two outstanding PE-associated pathways, including glaucoma and PE, identified by GSEA, ten key genes, including IGFBP1, CORIN, and C3, were revealed. Key genes, including IL1A and IL1B, were enriched in the developmental process involved in reproduction. Furthermore, ceRNAs, such as LINC00473-miR-4476-IL1A, LINC00473-miR-1291-IL1B, and NAV2-AS4-miR-6131-REN, were identified. Moreover, REN expression was significantly upregulated in the first- and second-trimester placentae compared to C-section-term placentae. In conclusion, these key genes may serve as novel biomarkers for PE. The detection of REN expression may help in the early prediction of PE and the initiation of prophylactic medical treatment.

The design of economical, efficient, and durable low-Pt catalysts is one of the directions in developing energy storage and conversion technologies. Herein, a Pt/WC1−x/WO3 self-supported electrode with a low Pt-loading (17.4 μg cm−2) was synthesized from bulk metals by an anodization coupled electrodeposition method followed by a carburization reduction process. The electrode exhibits an overpotential of 89.6 mV at 200 mA cm−2 for the hydrogen evolution reaction (HER) with excellent stability. Its highest mass activity for the methanol oxidation reaction (MOR) is 1.18 A mg−1 Pt, which is 2.46 times higher than that of a 20% Pt/C catalyst. This self-supporting electrode also shows excellent stability and resistance to CO poisoning. These can be attributed to the synergistic effects among Pt, WC1−x and WO3, and the heterogeneous interface between them, which accelerates the process of hydrogen absorption and desorption on their surface. These results suggest that the anodization coupled electrodeposition method is an efficient approach to design low Pt-loaded self-supporting electrodes with high activity and stability. [ABSTRACT FROM AUTHOR]

The effectiveness of adeno-associated virus (AAV)-based gene therapy is frequently constrained by the presence of AAV-neutralizing antibodies (NAbs). Existing detection techniques have shown inconsistencies across laboratories and cellular dependencies, challenging their universal applicability. Here, we redefine the NAb titer concept to represent the capability to neutralize a specific number of AAV virions per milliliter of serum. We present the AAV-homology-directed repair (HDR) assay, which harnesses the CRISPR-Cas9 system, offering a precise and sensitive means of detecting AAV NAbs. This assay employs a promoterless AAV HDR vector for integration into electroporated cells, facilitating the stable expression of a quantifiable fluorescent reporter and subsequent NAb titer assessment. Comparative evaluations indicated that the AAV-HDR method outperforms the traditional AAV overexpression (AAV-OE) assay regarding sensitivity and consistency. Crucially, it produced consistent outcomes across various cell lines, suggesting its potential as a universal standard for NAb titer measurement. We further confirmed the validity of the AAV-HDR titration approach by juxtaposing it with the established NT50 assay. Notably, the AAV-HDR method correlated robustly with both the AAV-OE assay and NT50 NAb titer values, and it exhibited heightened efficacy in identifying low-titer antibodies compared with the NT50 method. Given its ability to address AAV NAb detection challenges, the AAV-HDR assay holds promise for refining therapeutic strategies in gene therapy, particularly in tailoring AAV doses to neutralize preexisting NAbs. [ABSTRACT FROM AUTHOR]

With the continuous development of the power Internet of Things (PIoT), smart devices (SDs) have been widely used in electric power inspections. Due to the limited resources of intelligent inspection SDs and the distance of overhead transmission lines, many inspection tasks cannot be processed promptly. This paper proposes a multi-hop-based end-edge cooperative computing (MHCC) scheme to address inspection task processing in power IoT. We formulate a multi-hop task offloading problem that minimizes the energy consumption of inspection SDs with delay constraints. We develop a JDPSO algorithm to solve the multi-hop task offloading problem and evaluate the algorithm's performance based on numerous simulation experiments. The experimental results show that JDPSO reduces the system's energy consumption by 56.30%, 48.56%, 78.87%, 50.89%, 30.85%, and 68.31%, and also reduces delay by 50.69%, 42.78%, 58.67%, 44.84%, 10.22%, and 62.88% compared to GA, RSA, SSA, MFO, DOA, and ALC schemes. [ABSTRACT FROM AUTHOR]

BackgroundThe purpose of this study was to review to review the reported associations of depression and antidepressants with motor vehicle crashes.PurposeA literature search for material published in the English language between January, 1995, and October, 2015, in bibliographic databases was combined with a search for other relevant material referenced in the retrieved articles.MethodsRetrieved articles were systematically reviewed for inclusion criteria: 19 epidemiological studies (17 case-control and 2 cohort studies) fulfilled the inclusion criteria by estimating the crash risk associated with depression and/or psychotropic medications in naturalistic settings.ResultsThe estimates of the odds ratio (OR) of crash involvement associated with depression ranged from 1.78 to 3.99. All classes of antidepressants were reported to have side effects with the potential to affect driving safety. The majority of studies of antidepressant effects on driving reported an elevated crash risk, and ORs ranged from 1.19 to 2.03 for all crashes, and 3.19 for fatal crashes. In meta-analysis, depression was associated with approximately 2-fold increased crash risk (summary OR = 1.90; 95% CI, 1.06 to 3.39), and antidepressants were associated with approximately 40% increased crash risk (summary OR = 1.40; 95%CI, 1.18 to 1.66).ConclusionBased on the findings of the studies reviewed, depression, antidepressants or the combination of depression and antidepressants may pose a potential hazard to driving safety. More research is needed to understand the individual contributions of depression and the medications used to treat depression.