An Improved Protocol for the Matrigel Duplex Assay: A Method to Measure Retinal Angiogenesis.

Neovascular diseases of the retina, such as diabetic retinopathy (DR) and age-related macular degeneration (AMD), are proliferative retinopathies involving the growth of new blood vessels on the retina, which in turn causes impairment and potential loss of vision. A drawback of conventional angiogenesis assays is that they are not representative of the angiogenic processes in the retina. In the retina, the new blood vessels grow (from pre-existing blood vessels) and migrate into a non-perfused region of the eye including the inner limiting membrane of the retina and the vitreous, both of which contribute to vision loss. The Matrigel Duplex Assay (MDA) measures the migration of angiogenic capillaries from a primary Matrigel layer to a secondary Matrigel layer, which resembles the pathological angiogenesis in AMD and DR. The methodology of MDA is comprised of two steps. In the first step, the human retinal microvascular endothelial cells (HRMECs) are mixed with phenol red-containing Matrigel (in a 1:1 ratio) and seeded in the center of an 8-well chamber slide. After 24 h, a second layer of phenol red-free Matrigel is overlaid over the first layer. Over the course of the next 24 h, the HRMECs invade from the primary Matrigel layer to the secondary layer. Subsequently, the angiogenic sprouts are visualized by brightfield phase contrast microscopy and quantified by ImageJ software. The present manuscript measures the angiogenesis-inhibitory activity of the Src kinase inhibitor PP2 in primary HRMECs using the MDA. The MDA may be used for multiple applications like screening anti-angiogenic drugs, measuring the pro-angiogenic activity of growth factors, and elucidating signaling pathways underlying retinal angiogenesis in normal and disease states.

The burden of anxiety among a nationally representative US adult population.

BACKGROUND: Anxiety disorders are highly prevalent and are associated with a significant humanistic and economic burden. This study evaluates the impact of anxiety symptoms on direct and indirect costs and quality of life in individuals with self-reported and unrecognized anxiety symptoms. METHODS: The 2019 US National Health and Wellness Survey database was analyzed to compare individuals with anxiety symptoms to individuals without symptoms, stratified by responses to a yes/no question about experiencing anxiety symptoms, and further stratified by severity of symptoms based on GAD-7 scores. Individuals who responded 'yes' were characterized as having self-reported anxiety symptoms, and those who responded 'no' were screened for unrecognized anxiety symptoms. RESULTS: Overall, 44.0 % of the population experienced anxiety symptoms, of which 32.5 % self-reported experiencing anxiety, while an additional 11.5 % had mild to severe symptoms but did not self-identify as having anxiety. Both groups experienced significantly worse quality of life, and higher direct and indirect costs than a control group who had no anxiety symptoms (GAD-7 ≤ 4). Individuals with more severe anxiety symptoms experienced worse outcomes. LIMITATIONS: The data were cross-sectional, so causality could not be determined. Outcomes were based on self-report, and are therefore subject to reporting and recall bias. Prevalence and severity were assessed using the GAD-7, and not clinically validated. CONCLUSION: A substantial proportion of the population experiences anxiety symptoms without recognizing it. Anxiety symptoms had a significant impact on quality of life, direct costs, and indirect costs, representing a considerable burden that increased with severity of illness.

The Associations between Insomnia Severity and Health Outcomes in the United States.

Little is known about the associations between insomnia severity, insomnia symptoms, and key health outcomes. Using 2020 United States National Health and Wellness Survey (NHWS) data, we conducted a retrospective, cross-sectional analysis to determine the associations between insomnia severity and a number of health outcomes germane to patients (health-related quality of life (HRQoL), employers and government (workplace productivity), and healthcare payers (healthcare resource utilization (HCRU)). The Insomnia Severity Index (ISI) questionnaire was used to evaluate overall insomnia severity. HRQoL was assessed using the physical and mental component summary scores of the Short Form-36v2 (SF-36v2) questionnaire, and health utility status was measured using the Short Form-6D (SF-6D) and EuroQoL-5D (EQ-5D) questionnaires. Workplace productivity was measured using the Work Productivity and Activity Impairment (WPAI) questionnaire. After adjusting for confounders, greater insomnia severity was significantly associated with worsened quality of life, decreased productivity, and increased HCRU in an apparent linear fashion. These findings have important implications for future research, including the need for specific assessment of insomnia symptoms and their impact on key health outcomes.

Anticancer Activity of Region B Capsaicin Analogs.

The heterocyclic vanilloid compound capsaicin is responsible for the spicy and pungent flavor of chili peppers. Several convergent studies have shown that capsaicin suppresses the growth of multiple human cancers. Apart from capsaicin, natural and synthetic capsaicin-like compounds display growth suppressive activity in human cancers. The pharmacophore of capsaicin is comprised of three regions, namely region A (the aromatic ring), region B (the amide bond), and region C (the side chain). The present manuscript describes the isolation and synthesis of capsaicin analogs which have structural modifications in region B of the molecule. Furthermore, the pharmacokinetic properties, anticancer activity of region B capsaicin analogs, as well as the signaling pathways (underlying the growth-inhibitory effects of region B capsaicin analogs) have also been described. The discovery of novel, second-generation region B capsaicin analogs may foster the hope of innovative nutrition-based combination therapies in human cancers.

The economic and humanistic burden of bipolar disorder in adults in the United States.

BACKGROUND: Bipolar disorder is associated with functional impairment and diminished health-related quality of life (HRQoL). The purpose of this study was to estimate the annual per patient direct healthcare costs, indirect costs, and HRQoL of patients with bipolar disorder by depressive symptom severity and overall compared to the general population in the US. METHODS: This cross-sectional study used self-reported data from the 2020 US National Health and Wellness Survey. Adult respondents who reported bipolar disorder symptoms in the past 12 months and/or a diagnosis of bipolar disorder were identified (bipolar disorder cohort) and were further classified by depressive symptom severity based on Patient Health Questionnaire (PHQ-9) scores (none/mild = 0-9, moderate = 10-14, severe = 15-27). Annualized direct healthcare costs and indirect costs were calculated from 6-month healthcare resource utilization and work productivity, respectively. A general population cohort was constructed using 2:1 propensity score matching. Multivariate regression models of all-cause hospitalizations in the past 6 months, annualized direct healthcare costs, annualized indirect costs, and HRQoL (eg, EuroQol 5-Dimension Health Questionnaire (EQ-5D)) controlled for confounders (demographic and clinical characteristics). RESULTS: Of 3583 adults meeting pre-specified criteria for bipolar disorder, 1401 (39.1%) reported none/mild, 889 (24.8%) moderate, and 1293 (36.1%) severe depressive symptom severity. Additionally, 3285 (91.7%) were matched to 6570 adults in the general population. Compared to the general population, adjusted mean hospitalizations (0.53 vs. 0.30), annualized per patient direct healthcare costs ($20,846 vs. $11,391), and indirect costs ($14,795 vs. $9274) were significantly greater for the bipolar disorder cohort (all p < 0.001); adjusted HRQoL (EQ-5D: 0.69 vs. 0.79) was significantly worse (p < 0.001). By depressive symptom severity, adjusted mean hospitalizations (none/mild = 0.30, moderate = 0.50, severe = 0.46), direct healthcare costs ($14,389, $22,302, $21,341), and indirect costs ($10,799, $17,109, $18,470) were significantly greater for moderate and severe compared to none/mild depressive symptom severity (all p < 0.01); adjusted HRQoL (EQ-5D: 0.77, 0.67, 0.59) was significantly worse (p < 0.001). CONCLUSIONS: Among respondents with bipolar disorder, those with moderate to severe depression had greater direct healthcare costs and indirect costs as well as worse HRQoL than those with mild or no depressive symptoms. Treatment targeting reduction in depressive symptoms may reduce the economic and humanistic burden of bipolar disorder.

Mapping the Insomnia Severity Index Instrument to EQ-5D Health State Utilities: A United Kingdom Perspective.

OBJECTIVE: This study aimed to map the Insomnia Severity Index (ISI) to the EQ-5D-3L utility values from a UK perspective. METHODS: Source data were derived from the 2020 National Health and Wellness Survey (NHWS) for France, Germany, Italy, Spain, the UK and the US. Ordinary least squares regression, generalised linear model (GLM), censored least absolute deviation, and adjusted limited dependent variable mixture model (ALDVMM) were employed to explore the relationship between ISI total summary score and EQ-5D utility while accounting for adjustment covariates derived from the NHWS. Fitting performance was assessed using standard metrics, including mean-squared error (MSE) and coefficient of determination (R2). RESULTS: A total of 17,955 respondent observations were included, with a mean ISI score of 12.12 ± 5.32 and a mean EQ-5D-3L utility (UK tariff) of 0.71 ± 0.23. GLM gamma-log and ALDVMM were the two best performing models. The ALDVMM had better fitting performance (R2 = 0.320, MSE 0.0347) than the GLM gamma-log (R2 = 0.303, MSE 0.0353); in train-test split-sample validation, ALDVMM also slightly outperformed the GLM gamma-log model, with an MSE of 0.0351 versus 0.0355. Based on fitting performance, ALDVMM and GLM gamma-log were the preferred models. CONCLUSIONS: In the absence of preference-based measures, this study provides an updated mapping algorithm for estimating EQ-5D-3L utilities from the ISI summary total score. This new mapping not only draws its strengths from the use of a large international dataset but also the incorporation of adjustment variables (including sociodemographic and general health characteristics) to reduce the effects of confounders.