Family Caregiving of Patients With Heart Failure and Vascular Dementia in Rural Appalachia: A Mixed-Methods Study.

INTRODUCTION: Vascular dementia and heart failure (HF) are common co-existing conditions among adult populations. Each condition requires extensive home caregiving from family caregivers, especially those in rural Appalachia. This study aimed to assess caregivers' burden and their physical and mental health status, as well as explore their experiences and needs. METHODS: This study used an exploratory mixed-methods design combining quantitative and qualitative research (N = 20 caregivers). We collected data using questionnaires, short-answered interviews, and focus group discussions. The multivariable generalized linear model (GLiM) was used to analyze quantitative data; content analysis was used for qualitative data. RESULTS: The average age of family caregivers was 64.95 years. The generalized linear model showed that the caregiving burden was associated with caregivers' depression/anxiety (r = 0.68, P < .001) and their number of dementia caregiving years (r = 0.54, P < .05). Caregivers' poor physical health status was associated with better preparedness for HF and dementia home caregiving (r = 0.52, P < .05) and male caregivers (r = -0.46, P < .01). Caregivers' mental health status was associated with depression/anxiety (r = -0.80, P < .001). The qualitative data identified key caregiving themes: emotional impact and physical demands of caregiving, lack of help in rural areas, dealing with multiple disease progression, and relationship changes with their loved ones. CONCLUSION: Caregiving burden was associated with caregivers' home care responsibilities and the need for support. Nurse-led home caregiving preparedness interventions tailored for family caregivers of patients with HF and dementia in rural areas are recommended.

A novel therapeutic outlook: Classification, applications and challenges of inhalable micron/nanoparticle drug delivery systems in lung cancer (Review).

Lung cancer represents a marked global public health concern. Despite existing treatment modalities, the average 5­year survival rate for patients with patients with lung cancer is only ~20%. As there are numerous adverse effects of systemic administration routes, there is an urgent need to develop a novel therapeutic strategy tailored specifically for patients with lung cancer. Non­invasive aerosol inhalation, as a route of drug administration, holds unique advantages in the context of respiratory diseases. Nanoscale materials have extensive applications in the field of biomedical research in recent years. The present study provides a comprehensive review of the classification, applications summarized according to existing clinical treatment modalities for lung cancer and challenges associated with inhalable micron/nanoparticle drug delivery systems (DDSs) in lung cancer. Achieving localized treatment of lung cancer preclinical models through inhalation is deemed feasible. However, further research is required to substantiate the efficacy and long­term safety of inhalable micron/nanoparticle DDSs in the clinical management of lung cancer.

Developing, implementing, and evaluating the visiting Neighbors' program in rural Appalachia: A quality improvement protocol.

INTRODUCTION: Older adults living alone in rural areas frequently experience health declines, social isolation, and limited access to services. To address these challenges, our medical academic university supported a quality improvement project for developing and evaluating the Visiting Neighbors program in two rural Appalachian counties. Our Visiting Neighbors program trained local volunteers to visit and guide rural older adults in healthy activities. These age-appropriate activities (Mingle, Manage, and Move- 3M's) were designed to improve the functional health of older adults. The program includes four in-home visits and four follow-up telephone calls across three months. PURPOSE: The purpose of this paper was to describe the 3M's Visiting Neighbors protocol steps guiding the quality improvement procedures relating to program development, implementation, and evaluation. METHODS AND MATERIALS: This Visiting Neighbors study used a single-group exploratory quality improvement design. This program was tested using quality improvement standards, including collecting participant questionnaires and visit observations. RESULTS: Older adults (> 65 years) living alone (N = 30) participants were female (79%) with a mean age of 82.96 (SD = 7.87) years. Volunteer visitor participants (N = 10) were older adult females. Two volunteer visitors implemented each visit, guided by the 3M's activities manual. All visits were verified as being consistently delivered (fidelity). Enrollment and retention data found the program was feasible to conduct. The older adult participants' total program helpfulness ratings (1 to 5) were high (M = 51.27, SD = 3.77). All volunteer visitor's program helpfulness ratings were also high (M = 51.78, SD = 3.73). DISCUSSION: The Visiting Neighbors program consistently engaged older Appalachian adults living alone in the 3M's activities. The feasibility and fidelity of the 3M's home visits were verified. The quality improvement processes included engaging the expert advisory committee and rural county stakeholders to ensure the quality of the program development, implementation, and evaluation.

Repeated measures analysis of opioid use disorder treatment on clinical opiate withdrawal scale in a randomized clinical trial: sex differences.

PURPOSE: Sex differences may exist in opioid use disorder (OUD) treatment. This study examined the treatment effects of buprenorphine/naloxone (BUP/NX) and methadone (MET) on the Clinical Opiate Withdrawal Scale (COWS) score in individuals with OUD and tested whether the associations differ by sex. METHOD: We performed a secondary analysis of the data from the National Drug Abuse Treatment Clinical Trials Network (CTN) protocol-0027. A total of 1269 participants (861 males and 408 females) being aged 18 or older with OUD were randomly assigned to receive BUP/NX (n = 740) or MET (n = 529). The paired t test was initially used to compare the COWS scores between pre-dose and post-dose for BUP/NX and MET treatments, separately. The linear mixed model was used to examine the changes in COWS score adjusted for baseline demographic, substance use, and mental health disorders. The interaction of sex and treatment was detected and stratified analysis by sex was conducted. RESULTS: The paired t test showed that both BUP/NX and MET treatments significantly reduced the COWS scores (p values <0.0001). BUP/NX revealed higher COWS scores than MET (p = 0.0008) and females demonstrated significantly higher COWS scores than males (p = 0.0169). Stratified by sex, BUP/NX compared with MET revealed higher COWS scores only in males (p = 0.0043), whereas baseline amphetamines use disorder and major depressive disorder were significantly associated with COWS scores in females (p = 0.0158 and 0.0422, respectively). CONCLUSIONS: Both BUP/NX and MET are effective in decreasing opioid withdrawal symptoms via COWS scores, however, treatment plans for OUD by clinical providers should consider sex differences.

Association of APOE gene with longitudinal changes of CSF amyloid beta and tau levels in Alzheimer's disease: racial differences.

BACKGROUND: The Apolipoprotein E (APOE) ε4 allele is a risk factor for late-onset Alzheimer's disease (AD). However, no investigation has focused on racial differences in the longitudinal effect of APOE genotypes on CSF amyloid beta (Aß42) and tau levels in AD. METHODS: This study used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI): 222 participants with AD, 264 with cognitive normal (CN), and 692 with mild cognitive impairment (MCI) at baseline and two years follow-up. We used a linear mixed model to investigate the effect of APOE-ε4-genotypes on longitudinal changes in the amyloid beta and tau levels. RESULTS: Individuals with 1 or 2 APOE ε4 alleles revealed significantly higher t-Tau and p-Tau, but lower amyloid beta Aß42 compared with individuals without APOE ε4 alleles. Significantly higher levels of log-t-Tau, log-p-Tau, and low levels of log-Aß42 were observed in the subjects with older age, being female, and the two diagnostic groups (AD and MCI). The higher p-Tau and Aß42 values are associated with poor Mini-Mental State Examination (MMSE) performance. Non-Hispanic Africa American (AA) and Hispanic participants were associated with decreased log-t-Tau levels (ß = - 0.154, p = 0.0112; ß = - 0.207, and p = 0.0016, respectively) as compared to those observed in Whites. Furthermore, Hispanic participants were associated with a decreased log-p-Tau level (ß = - 0.224, p = 0.0023) compared to those observed in Whites. There were no differences in Aß42 level for non-Hispanic AA and Hispanic participants compared with White participants. CONCLUSION: Our study, for the first time, showed that the APOE ε4 allele was associated with these biomarkers, however with differing degrees among racial groups.

Early-onset alcohol, tobacco, and illicit drug use with age at onset of hypertension: a survival analysis.

PURPOSE: To examine the associations of age when first substance use and early-onset substance use before age 18 with age at onset (AAO) of hypertension. METHODS: This study included 19,270 individuals with AAO of hypertension from the 2015-2019 National Survey on Drug Use and Health. Age when first use of 10 substance use variables included alcohol, daily cigarettes, cigars, smokeless tobacco, marijuana, cocaine, hallucinogens, lysergic acid diethylamide (LSD), inhalants, and methamphetamine use. The outcome was AAO of hypertension and variable cluster analysis was used to classify the exposures and outcome. Substance use status was classified into three categories: early-onset substance use (first used substance before age 18), late-onset substance use (first used substance after age 18), and never used. RESULTS: The mean AAO of hypertension was 42.7 years. Age when first use of 10 substance use variables had significant correlations with AAO of hypertension (all p values < 0.001). Individuals with early-onset alcohol, cigars, smokeless tobacco, marijuana, hallucinogens, inhalants, cocaine, LSD, and methamphetamine use revealed significantly earlier onset of hypertension than those never used. Compared with never used substances, the Cox regression model showed that early-onset alcohol, smokeless tobacco, marijuana, inhalants, and methamphetamine use had an increased risk of AAO of hypertension [hazard ratio (HR) (95%CI) = 1.22 (1.13, 1.31), 1.36 (1.24, 1.49), 1.85 (1.75, 1.95), 1.41 (1.30, 1.52), and 1.27 (1.07,1.50), respectively]. CONCLUSION: These findings suggest that intervention strategies or programs focusing on preventing early-onset substance use before age 18 may delay the onset of adult hypertension.

RNA m6A methylation in psychiatric disorders.

This comprehensive review introduces the features of m6A modification and its role in neuropsychiatric disorders. The research findings suggest that m6A modifications and their regulators play a critical role in the occurrence and development of major psychiatric disorders, especially Alzheimer's disease, affecting synaptic protein synthesis, subtype classification, immune infiltration, pathogenesis, and inflammatory infiltration. These findings highlight m6A regulators as potential new diagnostic and therapeutic targets, with m6A methyltransferase METTL3 being the best-characterized regulator in these diseases. The review concludes that m6A modification is a promising target for the prevention and treatment of major psychiatric disorders.

Racial differences in the effect of APOE-ε4 genotypes on trail making test B in Alzheimer's disease: A longitudinal study.

OBJECTIVES: The trail making test part B (TMT-B) evaluates executive functions, memory, and sensorimotor functions. No previous study was found to examine the longitudinal effect of APOE-ε4 genotypes on the TMT-B scores in Alzheimer's disease (AD) across racial groups. METHODS: This study used the data from Alzheimer's Disease Neuroimaging Initiative (ADNI): 382 participants with AD, 503 with cognitive normal (CN), 1293 with mild cognitive impairment (MCI) at baseline and follow-up of four years. The multivariable linear mixed model was used to investigate the effect of APOE-ε4 genotypes on changes in TMT-B scores. RESULTS: Compared with Whites, African Americans (AA) and Hispanics had higher TMT-B scores (poor cognitive function). Furthermore, Whites subjects with 1 or 2 APOE-ε4 alleles had significantly higher TMT-B scores compared with individuals without APOE-ε4 allele at baseline and four follow-up visits; however, no differences in TMT-B were found between APOE-ε4 alleles in the Hispanic and AA groups. No APOE-ε4 by visit interactions was found for 3 racial groups. Stratified by AD diagnosis, the APOE-ε4 allele was associated with TMT-B scores only in the MCI group, while there were significant interactions for visit by education, APOE-ε4 allele, and the Mini Mental State Examination (MMSE) score in the MCI group. In addition, TMT-B was significantly correlated with the MMSE, AD Assessment Scale-cognitive subscale 13 (ADAS13), tTau, pTau, Aß42, and hippocampus. CONCLUSIONS: APOE-ɛ4 allele is associated with TMT-B scores in Whites subjects, but not in the Hispanic and AA groups. APOE-ε4 showed interaction with visit in the MCI group.

Differences in smoking behaviors and readiness to change for patients with COPD and differing categories of depressive symptoms: a descriptive cross-sectional design.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death in the world with nearly 90% of cases caused by tobacco smoking. Nearly 40% of people with COPD are diagnosed with depression which impacts quality of life and smoking cessation. The purpose of this study was to describe factors influencing smoking behaviors and readiness to change in people with comorbid COPD and depression. METHODS: A descriptive cross-sectional design was used. A convenience sample of 222 participants self-reported and/or had a documented diagnosis of COPD. Participants completed study measures which included the PHQ-9 for depressive symptoms, assessment of smoking behaviors using The Cigarette Dependence Scale, report of readiness to change using The Smoking Stage of Change Questionnaire, The Smoking Decisional Balance Questionnaire, and The Processes of Change Questionnaire. Electronic and paper questionnaires were used. Data was stored in RedCap and analyzed using SPSS version 26. Based on variable type, descriptive and comparative analyses were conducted using ANOVA, t-test, chi-square, Pearson correlation, linear regression, and multiple linear regression to determine the relationships between smoking behaviors, COPD, and depressive symptoms. RESULTS: Only 18 participants were classified as having no depressive symptoms. Participants who smoked had high nicotine dependence and wanted to quit smoking. Overall, participants saw more cons to smoking and were engaged in the processes of change. The majority of participants were in the maintenance or contemplation stage. Cigarette dependence could decrease by 9% if depressive symptoms are treated. CONCLUSIONS: There is a need to assess COPD patients for depression and to assess COPD patients' smoking behaviors and readiness to change. Adequate treatment of depression could promote an individual to move through the stages of change from chronic contemplation to action, thus improving smoking cessation efforts for individuals with COPD. Understanding patients' smoking behaviors and readiness to change can aid in developing personalized interventions to achieve smoking cessation and improve long-term outcomes.

Deep learning analysis of UPLC-MS/MS-based metabolomics data to predict Alzheimer's disease.

OBJECTIVE: Metabolic biomarkers can potentially inform disease progression in Alzheimer's disease (AD). The purpose of this study is to identify and describe a new set of diagnostic biomarkers for developing deep learning (DL) tools to predict AD using Ultra Performance Liquid Chromatography Mass Spectrometry (UPLC-MS/MS)-based metabolomics data. METHODS: A total of 177 individuals, including 78 with AD and 99 with cognitive normal (CN), were selected from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort along with 150 metabolomic biomarkers. We performed feature selection using the Least Absolute Shrinkage and Selection Operator (LASSO). The H2O DL function was used to build multilayer feedforward neural networks to predict AD. RESULTS: The LASSO selected 21 metabolic biomarkers. To develop DL models, the 21 biomarkers identified by LASSO were imported into the H2O package. The data was split into 70% for training and 30% for validation. The best DL model with two layers and 18 neurons achieved an accuracy of 0.881, F1-score of 0.892, and AUC of 0.873. Several metabolomic biomarkers involved in glucose and lipid metabolism, in particular bile acid metabolites, were associated with APOE-ε4 allele and clinical biomarkers (Aß42, tTau, pTau), cognitive assessments [the Alzheimer's Disease Assessment Scale-cognitive subscale 13 (ADAS13), the Mini-Mental State Examination (MMSE)], and hippocampus volume. CONCLUSIONS: This study identified a new set of diagnostic metabolomic biomarkers for developing DL tools to predict AD. These biomarkers may help with early diagnosis, prognostic risk stratification, and/or early treatment interventions for patients at risk for AD.

A novel risk variant block across introns 36-45 of CACNA1C for schizophrenia: a cohort-wise replication and cerebral region-wide validation study.

OBJECTIVES: Numerous genome-wide association studies have identified CACNA1C as one of the top risk genes for schizophrenia. As a necessary post-genome-wide association study (GWAS) follow-up, here, we focused on this risk gene, carefully investigated its novel risk variants for schizophrenia, and explored their potential functions. METHODS: We analyzed four independent samples (including three European and one African-American) comprising 5648 cases and 6936 healthy subjects to identify replicable single nucleotide polymorphism-schizophrenia associations. The potential regulatory effects of schizophrenia-risk alleles on CACNA1C mRNA expression in 16 brain regions (n = 348), gray matter volumes (GMVs) of five subcortical structures (n = 34 431), and surface areas and thickness of 34 cortical regions (n = 36 936) were also examined. RESULTS: A novel 17-variant block across introns 36-45 of CACNA1C was significantly associated with schizophrenia in the same effect direction across at least two independent samples (1.8 × 10-4 ≤ P ≤ 0.049). Most risk variants within this block showed significant associations with CACNA1C mRNA expression (1.6 × 10-3 ≤ P ≤ 0.050), GMVs of subcortical structures (0.016 ≤ P ≤ 0.048), cortical surface areas (0.010 ≤ P ≤ 0.050), and thickness (0.004 ≤ P ≤ 0.050) in multiple brain regions. CONCLUSION: We have identified a novel and functional risk variant block at CACNA1C for schizophrenia, providing further evidence for the important role of this gene in the pathogenesis of schizophrenia.

Genome-wide DNA methylation analysis in schizophrenia with tardive dyskinesia: a preliminary study.

BACKGROUND: Tardive dyskinesia (TD) develops in 20-30% of schizophrenia patients and up to 50% in patients > 50 years old. DNA methylation may play an important role in the development of TD. OBJECTIVE: DNA methylation analyses in schizophrenia with TD. METHODS: We conducted a genome-wide DNA methylation analysis in schizophrenia with TD using methylated DNA immunoprecipitation coupled with next-generation sequencing (MeDIP-Seq) in a Chinese sample including five schizophrenia patients with TD and five without TD (NTD), and five healthy controls. The results were expressed as the log2FC, fold change of normalized tags between two groups within the differentially methylated region (DMR). For validation, the pyrosequencing was used to quantify DNA methylation levels of several methylated genes in an independent sample (n = 30). RESULTS: Through genome-wide MeDIP-Seq analysis, we identified 116 genes that were significantly differentially methylated in promotor regions in comparison of TD group with NTD group including 66 hypermethylated genes (top 4 genes are GABRR1, VANGL2, ZNF534, and ZNF746) and 50 hypomethylated genes (top 4 genes are DERL3, GSTA4, KNCN, and LRRK1). Part of these genes (such as DERL3, DLGAP2, GABRR1, KLRG2, LRRK1, VANGL2, and ZP3) were previously reported to be associated with methylation in schizophrenia. Gene Ontology enrichment and KEGG pathway analyses identified several pathways. So far, we have confirmed the methylation of 3 genes (ARMC6, WDR75, and ZP3) in schizophrenia with TD using pyrosequencing. CONCLUSIONS: This study identified number of methylated genes and pathways for TD and will provide potential biomarkers for TD and serve as a resource for replication in other populations.

Comorbidities of Rural Children and Adolescents with Migraine and without Migraine.

(1) Background: Migraine is associated with comorbidities that are common in the general rural pediatric population. The purpose of this study is to evaluate the differences in the occurrence of comorbidities between rural children and adolescents with and without migraine. (2) Methods: A cross-sectional, secondary data analysis using electronic medical records of 1296 patients (53.8% females, aged 12.4 ± 3.2) was completed. Mann-Whitney U test was used to detect the difference in the number of comorbidities between the two groups. Chi-square test was used to identify the differences in the number of comorbidities, which were classified as low (0-1 comorbidities), medium (2-3 comorbidities), and high (4 or plus comorbidities) degree of comorbidities. (3) Results: Significant differences were found between those children and adolescents with migraine vs. those without for depression (p < 0.0001), anxiety (p < 0.0001), and Ehlers-Danlos Syndrome (EDS; p = 0.0309). A marginally significant difference was found between those children and adolescents with migraine (47.2%; n = 306) vs. those without (42.1%; n = 273) for unhealthy weight (p = 0.0652). Approximately 40% of the migraineurs had 2-3 comorbidities, whereas 32% of the non-migraineurs had 2-3 comorbidities (p = 0.0003). (4) Conclusions: Findings demonstrate the importance of identifying comorbidities associated with rural pediatric migraine in order to develop effective treatment strategies that optimize patient outcomes.

APOE Gene Associated with Dementia-Related Traits, Depression, and Anxiety in the Hispanic Population.

Alzheimer's disease (AD), a main cause of dementia, is commonly seen in aging populations with a strong genetic component. AD is one of the most common neurodegenerative disorders; it is a genetically and clinically heterogeneous disease. Specific demographic factors and genetic variants have been identified in non-Hispanic populations; however, limited studies have observed the Hispanic population. Therefore, we focused on investigating a known gene, APOE, associated with AD-related phenotypes and two psychiatric diseases (depression and anxiety) within the U.S. Hispanic population in our current study. A total of 1382 subjects were studied based on data collected from the Texas Alzheimer's Research and Care Consortium (TARCC, N = 1320) and the Initial Study of Longevity and Dementia from the Rio Grande Valley (ISLD-RGV, N = 62). Questionnaires regarding demographics, medical history, and blood/saliva samples were collected. We genotyped the APOE gene. The current findings indicated that APOE-ε4 was associated with not only AD (p < 0.0001) but also with anxiety (p < 0.0001) and depression (p = 0.0004). However, APOE-ε3 was associated with depression (p = 0.002) in the Hispanic population. We provide additional evidence in which APOE-ε4 increased the risk for AD in Hispanics. For the first time, APOE alleles show increased risks for anxiety and depression in Hispanics. Further research is warranted to confirm the current findings.

Spatial Multiomics Analysis in Psychiatric Disorders.

The aim of this study is to provide a comprehensive overview of spatial multiomics analysis, including its definition, processes, applications, significance and relevant research in psychiatric disorders. To achieve this, a literature search was conducted, focusing on three major spatial omics techniques and their application to three common psychiatric disorders: Alzheimer's disease (AD), schizophrenia, and autism spectrum disorders. Spatial genomics analysis has revealed specific genes associated with neuropsychiatric disorders in certain brain regions. Spatial transcriptomics analysis has identified genes related to AD in areas such as the hippocampus, olfactory bulb, and middle temporal gyrus. It has also provided insight into the response to AD in mouse models. Spatial proteogenomics has identified autism spectrum disorder (ASD)-risk genes in specific cell types, while schizophrenia risk loci have been linked to transcriptional signatures in the human hippocampus. In summary, spatial multiomics analysis offers a powerful approach to understand AD pathology and other psychiatric diseases, integrating multiple data modalities to identify risk genes for these disorders. It is valuable for studying psychiatric disorders with high or low cellular heterogeneity and provides new insights into the brain nucleome to predict disease progression and aid diagnosis and treatment.

Clusters of substance use and mental health variables with emergency room visits in U.S. adults: The 2020 National Survey on Drug Use and Health.

BACKGROUND: This study evaluated the prevalence of emergency room (ER) visits, given numerous substance use and mental health variables in the past year. METHODS: Data from 5206 emergency room visits out of 27,170 adults were extracted from the 2020 National Survey on Drug Use and Health. Oblique principal component cluster analysis was used to classify 39 substance use and mental health variables into disjoint clusters. RESULTS: In 2020, the overall prevalence of ER visits was 21.9 %. Being female, age above 65 years, with insurance, low income and low education levels, and being African American increased the risk of ER visit. Nine clusters were made out of 39 substance use and mental health variables. Multivariate stepwise logistic regression analysis showed 15 substance use and mental health variables were significantly associated with ER visits including heavy alcohol use past 30 days in cluster 3, nicotine dependence and cigarettes use in cluster 4, major depressive episode, serious psychological distress, and suicidal plans in past year in cluster 5, any psychotherapeutics use in cluster 7, tranquilizers use and lorazepam products use in cluster 8, and any pain reliever, pain reliever misuse, hydrocodone products use, oxycodone products use, tramadol products use, and codeine products use in cluster 9. CONCLUSIONS: Several substance use and mental health problems, including nicotine dependence, illicit drugs, and serious mental health problems were among the common reasons for ER visits. These findings suggest the effective use of ER as the venue to implement interventions for substance use and mental health.

Sleep Apnea and Substance Use Disorders Associated with Co-Occurrence of Anxiety Disorder and Depression among U.S. Adults: Findings from the NSDUH 2008-2014.

Few studies have focused on sleep apnea and substance use disorders with co-occurrence of anxiety disorder and depression. This study included a total of 270,227 adults, 9268 with co-occurrence of anxiety disorder and depression in the past year, from the combined 2008-2014 National Survey on Drug Use and Health (NSDUH) data, which are the latest datasets with measures of anxiety disorder and sleep apnea. Weighted multinomial logistic regression analyses were used to estimate the associations between anxiety disorder and depression and their co-occurrence. Comorbidity was highly prevalent: 40.4% of those with depression also met the criteria for anxiety disorder, whereas 51.8% of those with anxiety disorder also met the criteria for depression. The prevalences of anxiety only and co-occurrence increased from 2008 to 2014. The prevalences of anxiety disorder only, depression only, and co-occurrence of anxiety disorder and depression in individuals with sleep apnea were 4.4%, 12.9%, and 12.2%, respectively, and the prevalences in substance use disorders were 6.4%, 9.4%, and 10.7%, respectively. The results showed that sleep apnea, substance use disorders, and nicotine dependence were significantly associated with increased odds of anxiety disorder, depression, and co-occurrence (all p values < 0.0001). Furthermore, several chronic diseases (asthma, bronchitis, hypertension, and heart disease) were associated with the co-occurrence of anxiety disorder and depression. These findings suggest clinicians and other healthcare providers consider screening for depression and anxiety with sleep apnea and substance use disorders for improved therapeutic outcomes.

Network Pharmacology Combined with Experimental Validation Reveals the Anti-tumor Effect of Duchesnea indica against Hepatocellular Carcinoma.

Context: Duchesnea indica is effective against hepatocellular carcinoma (HCC); however, its underlying mechanism of action remains unclear. Objective: The present study aimed to investigate the potential mechanism of action and effects of D. indica components against HCC. Materials and methods: First, the effects of D. indica against HCC were investigated in vitro and in vivo. For in vitro experiments, HCC cell lines were treated with D. indica solutions at different concentrations (0, 1, 2 mg/mL) and then assessed for cell apoptosis, proliferation, migration, invasion, and angiogenic ability. For in vivo experiments, 24 mice were randomly divided into the following four groups: model group and D. indica low-, medium-, and high-dose groups. Tumor growth and CD34 and Ki67 expression levels were assessed to determine the effects of D. indica on cell proliferation and angiogenic ability. Furthermore, transcriptome sequencing and differential expression analyses were used to identify D. indica-induced differentially expressed genes (DEGs) in HCC cells. Additionally, mass spectrometry was conducted to identify the chemical components of D. indica. Four databases were used to predict the target proteins of these chemical components in HCC. HCC-associated genes were identified from two databases. By intersecting the identified DEGs; target proteins; and HCC-associated genes, key D. indica-regulated HCC-related genes were identified. Subsequently, protein-protein interaction network, network pharmacology, and molecular docking were used to identify the active compounds in D. indica and their likely gene targets. Results: In vitro experiments demonstrated that D. indica induced tumor cell apoptosis and inhibited cell proliferation, migration, invasion, and angiogenic potential. In vivo experiments demonstrated that D. indica inhibited tumor growth in a dose-dependent manner. Bioinformatic analyses identified 49 key D. indica-regulated HCC-related genes, of which FOS, SERPINE1, AKR1C3, and FGF2 were the most significant. Mass spectrometry identified the following five molecules in D. indica with potential anti-HCC activity: 4', 5, 7-trihydroxyflavone; ethyl protocatechuate; 3, 5-dihydroxy-benzoic acid; curculigosaponin A; and curculigine G. Molecular docking validated the interaction between D. indica active compounds and their target proteins in HCC. Conclusions: The present study confirmed the therapeutic effects of D. indica against HCC and identified the key genes and active components that may contribute to its mechanism of action, thereby providing a basis for further research on targeted therapeutics for HCC.

ROS Scavenging and inflammation-directed polydopamine nanoparticles regulate gut immunity and flora therapy in inflammatory bowel disease.

Dysfunction of the intestinal mucosal immune system and dysbiosis of the intestinal microflora can induce inflammatory bowel disease. However, drug-mediated clinical treatment remains a challenge due to its poor therapeutic efficacy and severe side effects. Herein, a ROS scavenging and inflammation-directed nanomedicine is designed and fabricated by coupling polydopamine nanoparticles with mCRAMP, an antimicrobial peptide, while wrapping macrophage membrane in the outer layer. The designed nanomedicine reduced the secretion of pro-inflammatory cytokines and elevate the expression of anti-inflammatory cytokine in vivo and in vitro inflammation models, demonstrating its significant ability of improving inflammatory responses. Importantly, the macrophage membrane encapsulated nanoparticles exhibit the obviously enhanced targeting performance in local inflamed tissues. Furthermore, the 16S rRNA sequencing of fecal microorganisms showed that probiotics increased and pathogenic bacteria were inhibited after oral delivery the nanomedicine, indicating that the designed nano platform played a significant role in optimizing intestinal microbiome. Taken together, the designed nanomedicine are not only easy to prepare and exhibit high biocompatibility, but also show the inflammatory targeting property, anti-inflammatory function and positive regulation of intestinal flora, thus providing a new idea for the intervention and treatment of colitis. STATEMENT OF SIGNIFICANCE: Inflammatory bowel disease (IBD), a chronic and intractable disease, may lead to colon cancer in severe cases without effective treatment. However, clinical drugs are largely ineffective owing to insufficient therapeutic efficacies and side effects. Herein, we constructed a biomimetic polydopamine nanoparticle for oral administration to treat the IBD by modulating mucosal immune homeostasis and optimizing intestinal microorganisms. In vitro and in vivo experiments showed that the designed nanomedicine not only exhibits the anti-inflammatory function and inflammatory targeting property but also positively regulate the gut microflora. Taken together, the designed nanomedicine combined immunoregulation and intestinal microecology modulation to significantly enhance the therapeutic effect on colitis in mice, thus providing a new approach for the clinical treatment of colitis.

STUDENT EVALUATION OF THE CLINICAL EDUCATION: ENVIRONMENT: DEVELOPMENT AND TESTING OF THE SECEE VERSION 4.

Background and Purpose: Nursing education programs must ensure the quality of student clinical learning experiences. The purpose of this paper is to present psychometric data on the revised digital version of the Student Evaluation of Clinical Education Environment (SECEE) v.4 instrument. Methods: Data were extracted retrospectively from student SECEE evaluations completed between 2016 and 2019. Results: Reliability coefficients for each of the three SECEE subscales were .92 and above. Exploratory factor analysis indicated strong loadings of all selected items on the pre-identified subscales, explaining 71.8% of total score variance. The inventory scale scores were able to discriminate differences between individual clinical sites, between clinical faculty, and between student level in the program. Conclusion: Analysis supports the reliability and validity of the revised instrument and a sizable improvement in total variance accounted for by the contained subscales compared to previous SECEE versions.