Optimizing nickel-aluminium layered double hydroxides for supercapacitors: The role of 3D structural assembly.

Nickel-aluminium layered double hydroxides (NiAl-LDHs) have emerged as promising electrode materials for supercapacitors (SCs) due to their inherently high specific surface area and theoretical specific capacitance, which are primarily attributed to the rapid pseudocapacitive response at the surface. However, NiAl-LDHs typically form agglomerated nanosheets, leading to a significant reduction in specific surface area, which is crucial for enhancing the number of active sites and improving the capacitive properties of the materials. To overcome this limitation, 2D nanostructures were assembled into 3D architectures by synthesizing NiAl-LDHs with distinct morphologies in a one-step hydrothermal process using an alkaline agent (NH4F). This approach resulted in the formation of 3D NiAl-LDH/HN4F structures, which exhibit a larger contact area and a greater number of redox-active sites. Consequently, the 3D NiAl-LDH/HN4F electrodes demonstrated a significantly higher specific surface area, leading to remarkable improvements in specific capacitance (1219 ± 30F g-1) and energy density (61 ± 1 Wh kg-1) compared to their 2D counterparts. This structural enhancement increases both the surface area and active site density while providing a new framework for designing high-performance LDH-based electrodes.

Integrating oxidative-stress biomarkers into a precision oncology risk-stratification model for bladder cancer prognosis and therapy.

Introduction: Bladder cancer is a common malignant tumor with significant heterogeneity, making personalized risk stratification crucial for optimizing treatment and prognosis. This study aimed to develop a prognostic model based on oxidative stress-related genes to guide risk assessment in bladder cancer. Methods: Differentially expressed oxidative stress-related genes were identified using the GEO database. Functional enrichment and survival analyses were performed on these genes. A risk-scoring model was built and tested for prognostic value and therapeutic response prediction. Expression of key genes was validated by qRT-PCR in samples from two muscle-invasive and two non-muscle-invasive bladder cancer patients. Results: Several oxidative stress-related genes were identified as significantly associated with survival. The risk-scoring model stratified patients into high- and low-risk groups, accurately predicting prognosis and therapeutic responses. qRT-PCR confirmed the differential expression of key genes in patient samples. Discussion: The study provides a concise risk stratification model based on oxidative stress-related genes, offering a practical tool for improving personalized treatment in bladder cancer. Further validation is required for broader clinical application.

Predicting suicidal behavior in individuals with depression over 50 years of age: Evidence from the UK biobank.

Objective: To construct applicable models suitable for predicting the risk of suicidal behavior among individuals with depression, particularly on the progression from no history of suicidal behavior to suicide attempts, as well as from suicidal ideation to suicide attempts. Methods: Based on a prospective cohort from the UK Biobank, a total of 55,139 individuals aged 50 and above with depression were enrolled in the study, among whom 29,528 exhibited suicidal behavior. Specifically, they were divided into control (25,611), suicidal ideation (24,361), and suicide attempt (5167) groups. Least absolute shrinkage and selection operator (LASSO) regression was used to identify a subset of important features for distinguishing suicidal ideation and suicide attempts. We used the Gradient Boosting Decision Tree (GBDT) algorithm with stratified 10-fold cross-validation and grid-search to construct the prediction models for suicidal ideation or suicide attempts. To address the dataset imbalance in classifying suicide attempts, we used random under-sampling. The SHapley Additive exPlanations (SHAP) were used to estimate the important variables in the GBDT model. Results: Significant differences in sociodemographic, economic, lifestyle, and psychological factors were observed across the three groups. Each classifier optimally utilized 8-11 features. Overall, the algorithms predicting suicide attempts demonstrated slightly higher performance than those predicting suicidal ideation. The GBDT classifier achieved the highest accuracy, with AUROC scores of 0.914 for suicide attempts and 0.803 for suicidal ideation. Distinctive predictive factors were identified for each group: while depression's inherent characteristics crucially distinguished the suicidal ideation group from controls, some key predictors, including the age of depression onset and childhood trauma events, were identified for suicide attempts. Conclusions: We established applicable machine learning-based models for predicting suicidal behavior, particularly suicide attempts, in individuals with depression, and clarified the differences in predictors between suicidal ideation and suicide attempts.

Seasonal and spatial variations of dissolved inorganic nitrogen exchange between the Yellow Sea and the East China Sea and the influencing factors.

Nutrient exchange with the East China Sea plays an important role in primary production in the Yellow Sea. Owing to lack of simultaneous observations, the spatiotemporal nutrient exchanges across the boundary between the Yellow Sea and East China Sea (Section YE) remain unclear. In this study, a three-dimensional physical-biogeochemical coupled model was used to determine the flux of dissolved inorganic nitrogen (DIN) across Section YE. The results showed that DIN was transported from the East China Sea to the Yellow Sea throughout the year and was highest in summer, accounting for 38 % of the total annual amount. Seasonal variations in the DIN flux were attributed to seasonal variations in the ocean currents across Section YE. In the Yellow Sea, the annual amount of DIN from lateral boundaries was larger than the river input and was comparable to the atmospheric deposition.

Association of plasma VEGF with futile recanalization and intracranial angiogenesis in ischemic stroke post-endovascular treatment.

OBJECTIVE: This study aimed to compare baseline and subsequent vascular endothelial growth factor (VEGF) levels in predicting futile recanalization (FR) in acute ischemic stroke (AIS) patients undergoing endovascular treatment (EVT), and to explore the association between angiogenesis and VEGF. METHODS: 84 participants were recruited, including 46 AIS in the EVT group, 20 AIS in the conventional treatment group, and 18 healthy controls. Plasma VEGF levels were measured at different time points. FR was defined as a modified Rankin scale score of 3-6 at 3 months. Multivariable analysis evaluated whether VEGF levels at different time points independently predicted FR, and receiver operating characteristic (ROC) curves assessed their predictive value. Using intracranial lesion side vascular imaging, the Maas scoring system assessed angiogenesis post-onset, with scores of 4 to 5 indicating angiogenesis. RESULTS: In the conventional treatment group, VEGF levels significantly decreased by day 7, while in the EVT group, reduction was observed as early as day 3. After adjusting for potential confounders, only VEGF levels on day 3 emerged as an independent predictor of FR. The combined model incorporating VEGF levels on day 3 with other factors effectively predicted FR (area under the curve = 0.916; sensitivity = 84.21 %; specificity = 100 %, P<0.0001). Plasma VEGF levels were notably higher in patients with angiogenesis in specific brain regions compared to those without angiogenesis at days 1, 3, 7, and 14 (P<0.05). CONCLUSION: VEGF levels on the 3rd day post-EVT demonstrate superior predictive value for FR. Elevated VEGF levels correlate with angiogenesis, suggesting its potential as a therapeutic target.

Genetic background and intraoperative haemodynamic instability in patients with pheochromocytoma and paraganglioma: a multicenter retrospective study.

BACKGROUND: Perioperative management to maintain intraoperative haemodynamic stability is crucial during surgical treatment of pheochromocytomas and paragangliomas (PPGLs). Although approximately 70% of PPGLs carry pathogenic variants (PVs) in susceptibility genes, whether intraoperative haemodynamic instability (IHI) is associated with genetic background remains unclear. This study aimed to analyse IHI in patients with PPGL due to PVs in different genes. MATERIALS AND METHODS: This retrospective study recruited 756 patients with abdominal PPGL from two tertiary care centres. Clinical information including sex, age, catecholamine-associated signs and symptoms (CAS), tumour location and size, biochemistry, and perioperative characteristics were collected. Genetic mutations were investigated using next-generation sequencing. RESULTS: Among the 671 patients included in the analysis, 61.8% (415/671) had IHI. IHI was significantly associated with genetic background in patients with PPGL. Most (80.9%, 89/110) patients with PPGL due to PVs in HRAS suffered IHI. In contrast, only half (31/62) of patients with PPGL due to PVs in VHL had IHI. In the multivariate regression analysis, compared to those with negative genetic testing results, patients with PPGL due to PVs in HRAS (OR 3.82, 95% CI 2.187-6.679, P<0.001), the other cluster 2 genes (OR 1.95, 95% CI 1.287-2. 569, P< 0.05), and cluster 1 genes other than VHL (OR 2.35, 95% CI 1.338-4.111, P<0.05) were independent risk factors for IHI, while PVs in VHL was not independent risk factor (OR 1.09, 95% CI 0.605-1.953, P>=0.05). In addition, age at diagnosis of primary tumour, presenting of CAS, and tumour size were identified as independent factors for IHI. The nomogram illustrated that genetic background as sharing the largest contribution to IHI, followed by tumour size, age, and presenting of CAS. CONCLUSION: IHI is associated with the genetic background in patients with PPGL. The perioperative management of patients with PPGL can be personalized according to their genetic backgrounds, tumour size, age, and presenting of CAS.

Fish IL-26 collaborates with IL-10R2 and IL-20R1 to enhance gut mucosal barrier during the antibacterial innate immunity.

IL-26 is a cytokine that is crucial for the maintenance and function of the gut mucosal barrier. IL-26 signaling pathway relies on a heterodimeric receptor complex, which is composed of two distinct subunits, IL-10R2 and IL-20R1. However, there are no reports on the antibacterial immunity of IL-26 and its receptors in fish. For this purpose, in this study we identified IL-26 and its receptors IL-10R2 and IL-20R1 in Carassius cuvieri × Carassius auratus red var. (named WR-IL-26, WR-IL10R2 and WR-IL20R1, respectively). Phylogenetic analysis confirmed the conservation of these genes, with shared structural motifs similar to those found in higher vertebrates. Upon exposure to Aeromonas hydrophila, a common fish pathogen, there was a significant upregulation of WR-IL-26, WR-IL10R2 and WR-IL20R1 in the gut, indicating a potential role in the immune response to infection. A co-immunoprecipitation assay revealed that WR-IL-26 formed complexes with WR-IL10R2 and WR-IL20R1. In vivo experiments demonstrated that administration of WR-IL-26 activated the JAK1-STAT3 signaling pathway and protected the gut mucosa barrier from A. hydrophila infection. Conversely, silencing WR-IL10R2 and WR-IL20R1 via RNA interference significantly attenuated the activation of WR-IL-26-mediated JAK1-STAT3 pathway. These results provided new insights into the role of IL-26 and its receptors in the gut mucosa barrier and could offer novel therapeutic strategies for managing bacterial infections in aquaculture.

Recent discoveries of Sino-Caucasian differences in the genetics of phaeochromocytomas and paragangliomas.

Pheochromocytomas and paragangliomas (PPGLs) represent the highest degree of heritability of any known tumor types in humans. Previous studies have characterized a dramatic difference between Chinese and European Caucasians with regards to both genetics and clinical features of PPGLs. The proportion of PGLs in Chinese patients was higher than in Caucasians, and the prevalence of metastasis was much lower in Chinese patients. Compared with Caucasians, there were more pathogenic variants (PVs) found in HRAS and FGFR1, but less in NF1 and SDHB. There were less germline PVs found in Chinese patients. Importantly, in Chinese patients, there was a large proportion of PGLs with PVs found in HRAS and FGFR1, mostly with epinephrine-producing capacity. This finding provided solid evidence that genetics (cluster 1 vs. 2), rather than location (PCC vs. PGL), determines the catecholamine-producing phenotype. Besides, the lower prevalence of SDHB partially explained lower occurrence of metastatic lesions in Chinese patients. These findings underscore the importance of considering ethnic differences when evaluating PPGLs and patient outcomes.

Direct extraction of ten estrogens from milk samples with DVB/NVP-modified magnetic solid-phase extraction adsorbent followed by pre-column derivatization-UHPLC-MS/MS.

Estrogens and their analogues can cause harm to human health through the food chain. Ten estrogens in different milk samples were directly extracted by amphiphilic divinylbenzene/N-vinyl-2-pyrrolidone (DVB/NVP)-Fe3O4@SiO2-based magnetic solid-phase extraction (MSPE) followed by pre-column derivatization and ultra-high performance liquid chromatography tandem mass-spectrometry (UHPLC-MS/MS) detection. Under the optimal conditions, the limits of detection for ten analytes were in the range of 0.05-0.38 ng mL-1 in whole liquid milk matrix and 0.04-3.00 ng g-1 in milk powder matrix. The intra-/inter-day accuracy ranged in 83.4-113.8%, with RSDs in 2.5-15.0%. A total of 15 brands of liquid milk and milk powder samples were analyzed, and only estradiol was detected in three brands of boxed liquid milk within safe range. The proposed sample pretreatment eliminated the common protein precipitation process, improved the sample throughput, and has the potential for routine testing of estrogens and their analogues in market-sale milk samples.

Concurrent Preimplantation Genetic Testing and Competence Assessment of Human Embryos by Transcriptome Sequencing.

Preimplantation genetic testing (PGT) can minimize the risk of birth defects. However, the accuracy and applicability of routine PGT is confounded by uneven genome coverage and high allele drop-out rate from existing single-cell whole genome amplification methods. Here, a method to diagnose genetic mutations and concurrently evaluate embryo competence by leveraging the abundant mRNA transcript copies present in trophectoderm cells is developed. The feasibility of the method is confirmed with 19 donated blastocysts. Next, the method is applied to 82 embryos from 26 families with monogenic defects for simultaneous mutation detection and competence assessment. The accuracy rate of direct mutation detection is up to 95%, which is significantly higher than DNA-based method. Meanwhile, this approach correctly predicted seven out of eight (87.5%) embryos that failed to implant. Of six embryos that are predicted to implant successfully, four met such expectations (66.7%). Notably, this method is superior at conditions for mutation detection that are challenging when using DNA-based PGT, such as when detecting pathogenic genes with a high de novo rate, multiple pseudogenes, or an abnormal expansion of CAG trinucleotide repeats. Taken together, this study establishes the feasibility of an RNA-based PGT that is also informative for assessing implantation competence.

The relationship between atmospheric particulate matter, leaf surface microstructure, and the phyllosphere microbial diversity of Ulmus L.

BACKGROUND: Plants can retain atmospheric particulate matter (PM) through their unique foliar microstructures, which has a profound impact on the phyllosphere microbial communities. Yet, the underlying mechanisms linking atmospheric particulate matter (PM) retention by foliar microstructures to variations in the phyllosphere microbial communities remain a mystery. In this study, we conducted a field experiment with ten Ulmus lines. A series of analytical techniques, including scanning electron microscopy, atomic force microscopy, and high-throughput amplicon sequencing, were applied to examine the relationship between foliar surface microstructures, PM retention, and phyllosphere microbial diversity of Ulmus L. RESULTS: We characterized the leaf microstructures across the ten Ulmus lines. Chun exhibited a highly undulated abaxial surface and dense stomatal distribution. Langya and Xingshan possessed dense abaxial trichomes, while Lieye, Zuiweng, and Daguo had sparsely distributed, short abaxial trichomes. Duomai, Qingyun, and Lang were characterized by sparse stomata and flat abaxial surfaces, whereas Jinye had sparsely distributed but extensive stomata. The mean leaf retention values for total suspended particulate (TSP), PM2.5, PM2.5-10, PM10-100, and PM> 100 were 135.76, 6.60, 20.10, 90.98, and 13.08 µg·cm- 2, respectively. Trichomes substantially contributed to PM2.5 retention, while larger undulations enhanced PM2.5-10 retention, as evidenced by positive correlations between PM2.5 and abaxial trichome density and between PM2.5-10 and the adaxial raw microroughness values. Phyllosphere microbial diversity patterns varied among lines, with bacteria dominated by Sediminibacterium and fungi by Mycosphaerella, Alternaria, and Cladosporium. Redundancy analysis confirmed that dense leaf trichomes facilitated the capture of PM2.5-associated fungi, while bacteria were less impacted by PM and struggled to adhere to leaf microstructures. Long and dense trichomes provided ideal microhabitats for retaining PM-borne microbes, as evidenced by positive feedback loops between PM2.5, trichome characteristics, and the relative abundances of microorganisms like Trichoderma and Aspergillus. CONCLUSIONS: Based on our findings, a three-factor network profile was constructed, which provides a foundation for further exploration into how different plants retain PM through foliar microstructures, thereby impacting phyllosphere microbial communities.

Risk factors, prognostic factors, and nomograms for synchronous brain metastases of solid tumors: a population-based study.

In previous literatures, we found that similar studies on the short-term prognosis of synchronous brain metastases (S-BM) from other systems are rare. Our aim was to evaluate the early mortality rate of patients with S-BM from the Surveillance, Epidemiology, and End Result (SEER) database and explore the risk factors for early mortality (≤ 1 year). We used Kaplan-Meier (KM) curves to evaluate early mortality in patients with S-BM from the SEER database. Logistic regression analyses were used to identify significant independent prognostic factors in patients with a follow-up time > 12 months. And the meaningful factors were used to construct a nomogram of overall early death. The receiver operating characteristic (ROC) curve was used to test the predictive ability of the model, while the decision curve analysis (DCA) curve was used to validate the clinical application ability of the model. A total of 47,284 patients were used for univariate and multivariate logistic regression analysis to screen variables to constructing a nomogram. In the all-cause early mortality specific model, the area under the ROC (AUC) curve of the training set was 0.764 (95% confidence interval (CI): 0.758-0.769), and the AUC of the validation set was 0.761 (95% CI: 0.752-0.770). The DCA calibration curves of the training set and validation set indicate that the 1-year early mortality rate predicted by this model is consistent with the actual situation. We found that the 1-year early mortality rate was 76.4%. We constructed a validated nomogram using these covariates to effectively predict 1-year early mortality in patients with S-BM. This nomogram can help clinical workers screen high-risk patients to develop more reasonable treatment plans.

Insight into Fructose-to-Sucrose Ratio as the Potential Target of Urinalysis in Bladder Cancer.

Bladder cancer usually has been diagnosed in elderly patients as it stays asymptomatic until it presents. Current detection methods for bladder cancer cannot be considered as an adequate screening strategy due to their high invasiveness and low sensitivity. However, there remains uncertainty about targets with high sensitivity and specificity for non-invasive bladder cancer examination. Our study aims to investigate the actionable non-invasive screening biomarkers in bladder cancer. Here, we employed scRNA-seq to explore the crucial biological processes for bladder cancer development. We then utilized bidirectional Mendelian randomization (MR) analysis to explore the bidirectional causal relationship between ATP-associated metabolites in urine and bladder cancer. Lastly, we used a BBN-induced mouse model of bladder cancer to validate the crucial gene identified by scRNA-seq and MR analysis. We found that (1) the ATP metabolism process plays a critical role in bladder cancer development; (2) there is a bidirectional and negative causal relationship between fructose-to-sucrose ratio in urine and the risk of bladder cancer; and (3) the higher expression of TPI1, a critical gene in the fructose metabolism pathway, was validated in BBN-induced bladder tumors. Our results reveal that fructose-to-sucrose ratio can serve as a potential target of urinalysis in bladder cancer.

Advances in 2,3-Dimethylmaleic Anhydride (DMMA)-Modified Nanocarriers in Drug Delivery Systems.

Cancer represents a significant threat to human health. The cells and tissues within the microenvironment of solid tumors exhibit complex and abnormal properties in comparison to healthy tissues. The efficacy of nanomedicines is inhibited by the presence of substantial and complex physical barriers in the tumor tissue. The latest generation of intelligent drug delivery systems, particularly nanomedicines capable of charge reversal, have shown promise in addressing this issue. These systems can transform their charge from negative to positive upon reaching the tumor site, thereby enhancing tumor penetration via transcytosis and promoting cell internalization by interacting with the negatively charged cell membranes. The modification of nanocarriers with 2,3-dimethylmaleic anhydride (DMMA) and its derivatives, which are responsive to weak acid stimulation, represents a significant advance in the field of charge-reversal nanomedicines. This review provides a comprehensive examination of the recent insights into DMMA-modified nanocarriers in drug delivery systems, with a particular focus on their potential in targeted therapeutics. It also discusses the synthesis of DMMA derivatives and their role in charge reversal, shell detachment, size shift, and ligand reactivation mechanisms, offering the prospect of a tailored, next-generation therapeutic approach to overcome the diverse challenges associated with cancer therapy.

Themis: advancing precision oncology through comprehensive molecular subtyping and optimization.

Recent advances in tumor molecular subtyping have revolutionized precision oncology, offering novel avenues for patient-specific treatment strategies. However, a comprehensive and independent comparison of these subtyping methodologies remains unexplored. This study introduces 'Themis' (Tumor HEterogeneity analysis on Molecular subtypIng System), an evaluation platform that encapsulates a few representative tumor molecular subtyping methods, including Stemness, Anoikis, Metabolism, and pathway-based classifications, utilizing 38 test datasets curated from The Cancer Genome Atlas (TCGA) and significant studies. Our self-designed quantitative analysis uncovers the relative strengths, limitations, and applicability of each method in different clinical contexts. Crucially, Themis serves as a vital tool in identifying the most appropriate subtyping methods for specific clinical scenarios. It also guides fine-tuning existing subtyping methods to achieve more accurate phenotype-associated results. To demonstrate the practical utility, we apply Themis to a breast cancer dataset, showcasing its efficacy in selecting the most suitable subtyping methods for personalized medicine in various clinical scenarios. This study bridges a crucial gap in cancer research and lays a foundation for future advancements in individualized cancer therapy and patient management.

Potential prognostic value of CSF-targeted proteomics across the Alzheimer's disease continuum.

BACKGROUND: Core biomarkers for Alzheimer's disease (AD), such as Aß42 and tau, have demonstrated high prognostic accuracy but do not fully capture the complex pathophysiology of AD. In this study, our objective was to identify novel cerebrospinal fluid (CSF) biomarkers using proteomics across the entire AD continuum to predict conversion to AD and explore their involvement in AD pathogenesis. METHODS: A cohort of 186 cognitively normal (CN), 127 subjective memory complaint (SMC), 79 early mild cognitive impairment (EMCI), 249 late MCI (LMCI), and 132 AD individuals was analyzed, with a follow-up period of over 3 years for non-AD participants. CSF 65 peptides, as well as hippocampal and entorhinal volumes were analyzed, and cognitive function was evaluated using the 13-item cognitive subscale of the Alzheimer's Disease Assessment Scale (ADAS-Cog 13). Cox proportional hazards models and mediation analysis were performed to investigate associations and causal relationships. RESULTS: During the follow-up, approximately one-fourth (146/580) of the non-AD participants progressed to AD. After adjusting for baseline diagnosis (CN to LMCI) and other variables, multivariable Cox regression analysis identified three peptides (VAELEDEK, VSFELFADK, and VVSSIEQK) as significant predictors of conversion to AD. Incorporating these three peptides into the initial model significantly improved the C-statistic from 0.82 to 0.85 for predicting AD conversion, surpassing the predictive ability of Aß42 and P-tau. Moreover, hippocampal and entorhinal volumes mediated 30.3-53.8% of the association between the three peptides and ADAS-Cog 13 scores. CONCLUSIONS: These findings underscore the potential of these three peptides as robust prognostic biomarker candidates for AD conversion across the entire AD continuum, with a mechanism involving the mediation of hippocampal and entorhinal volumes.

Challenges and Coping Strategies in Transitioning From Caregiving to Widowhood: A Systematic Review.

Ninety-one percent of surviving spouses in the U.S. cared for their spouses before they died. This review explores the challenges of the transition from caregiving to widowhood and different coping strategies used by widowed spousal caregivers. A systematic review of literature on the transition from caregiving to widowhood was conducted using four major academic search engines. Overall, 280 articles were identified, with 22 meeting the inclusion criteria. Challenges for widowed caregivers included experiencing care burden, letting go of the caregiver role, grief, and triggers. Widowed caregivers' coping strategies included social support and services use, filling the time gap, finding spirituality, and engaging in unhealthy behaviors. Future research is needed to determine the efficacy of widowed caregivers' coping strategies. Concerted and collaborative action by health professionals, community organizations, and policymakers is needed to develop programs and other approaches to support widowed caregivers.

External Guide Sequence Effectively Suppresses the Gene Expression and Replication of Herpes Simplex Virus 2.

Ribonuclease P (RNase P) complexed with an external guide sequence (EGS) represents a promising nucleic acid-based gene targeting approach for gene expression knock-down and modulation. The RNase P-EGS strategy is unique as an EGS can be designed to basepair any mRNA sequence and recruit intracellular RNase P for hydrolysis of the target mRNA. In this study, we provide the first direct evidence that the RNase P-based approach effectively blocks the gene expression and replication of herpes simplex virus 2 (HSV-2), the causative agent of genital herpes. We constructed EGSs to target the mRNA encoding HSV-2 single-stranded DNA binding protein ICP8, which is essential for viral DNA genome replication and growth. In HSV-2 infected cells expressing a functional EGS, ICP8 levels were reduced by 85%, and viral growth decreased by 3000 folds. On the contrary, ICP8 expression and viral growth exhibited no substantial differences between cells expressing no EGS and those expressing a disabled EGS with mutations precluding RNase P recognition. The anti-ICP8 EGS is specific in targeting ICP8 because it only affects ICP8 expression but does not affect the expression of the other viral immediate-early and early genes examined. This study shows the effective and specific anti-HSV-2 activity of the RNase P-EGS approach and demonstrates the potential of EGS RNAs for anti-HSV-2 applications.

Financial train, health behaviors, and psychological well-being of family caregivers of older adults during the COVID-19 pandemic.

Objectives: This study aims to examine the change in financial strain, health behaviors, and psychological well-being of family caregivers of older adults during the COVID-19 pandemic and explore the differences in mental health outcomes by gender, race, and relationship status. Methods: Using the 2020 National Health and Aging Trends Study COVID-19 supplement, our sample included 2026 family caregivers of older adults. Structural equation modeling was conducted. Results: Caregivers with financial strain showed worse mental health than those with no financial strain. Female or adult children caregivers reported significantly less time walking, more financial strain, and a higher level of negative mental health outcomes compared to male or spouse caregivers; non-White caregivers reported greater positive mental health outcomes compared to White caregivers during the pandemic. Discussion: Health professionals should consider the financial and mental health impact of COVID-19 among family caregivers when designing and delivering caregiver support programs. Innovation: This study provides nationally representative estimates of several important health behaviors and health outcomes for caregivers of older adults during and after the COVID-19 pandemic, helping to fill the knowledge gap about the characteristics of caregivers whose health and well-being were most affected by the pandemic.