The Experience of Mindfulness-Based Stress Reduction on Menopausal Symptoms, Sleep Disturbance, and Body Image among Patients with Breast Cancer-A Qualitative Study.

BACKGROUND AND AIM: The objective was to decrease patient menopausal symptoms, sleep disturbance, and body image using a nonpharmacological therapy for cultivating key healthy lifestyle habits in patients with breast cancer. MATERIALS AND METHODS: The participants were 26 women with breast cancer who had recently received structured mindfulness-based stress reduction (MBSR) training in a clinical trial. Focus groups and interviews were conducted, during which the participants were asked semistructured, open-ended questions regarding the experiences of MBSR. RESULTS: The participants indicated that MBSR helped them to alleviate hot flashes and night sweats, and improve sleep quality and be more at ease with the external aspect of their body. On the other hand, during MBSR intervention in a group manner, the participants felt more psychological support and an outlet for sharing negative emotional experiences. CONCLUSION: This study identified the short-term benefits associated with group-based MBSR for women with breast cancer. In addition, our research identified the difficulties of intervention measures and coping methods. The study described the benefits of MBSR for patients with breast cancer. The findings of this study will help nursing staff identify the main coping menopausal symptoms and control negative mental health.

Improving Patient Safety Culture During the COVID-19 Pandemic in Taiwan.

Background and Aim: Patient safety culture attitude is strongly linked to patient safety outcomes. Since the onset of the COVID-19 pandemic in early 2020, pandemic prevention has become the priority of hospital staff. However, few studies have explored the changes in patient safety culture among hospital staff that have occurred during the pandemic. The present study compared the safety attitudes, emotional exhaustion (EE), and work-life balance (WLB) of hospital staff in the early (2020) and late (2021) stages of the COVID-19 pandemic and explored the effects of EE and WLB on patient safety attitudes in Taiwan. Materials and Methods: In this cross-sectional study, the Joint Commission of Taiwan Patient Safety Culture Survey, including the six-dimension Safety Attitudes Questionnaire (SAQ) and EE and WLB scales, were used for data collection. Results: This study included a total of 706 hospital employees from a district hospital in Taipei City. The respondents' scores in each SAQ sub-dimension (except for stress recognition) increased non-significantly from 2020 to 2021, whereas their EE and WLB scores improved significantly (P < 0.05 and P < 0.01, respectively). The results of hierarchical regression analysis indicated that although a respondent's WLB score could predict their scores in each SAQ sub-dimension (except for stress recognition), EE was the most important factor affecting the respondents' attitudes toward patient safety culture during the later stage of the COVID-19 pandemic. Conclusion: In the post-pandemic, employees' attitudes toward safety climate, job satisfaction, and perception of Management changed from negative to positive. Additionally, both EE and WLB are key factors influencing patient safety culture. The present study can be used as a reference for hospital managers to formulate crisis response strategies.

Impact of mindfulness-based stress reduction on female sexual function and mental health in patients with breast cancer.

PURPOSE: There have been few studies using mindfulness-based stress reduction (MBSR) to improve sexual function in Asian women with breast cancer. This study aimed to evaluate the impact of mindfulness intervention on female sexual function, mental health, and quality of life in patients with breast cancer. METHODS: Fifty-one women with breast cancer were allocated into 6-week MBSR (n=26) sessions or usual care (n=25), without differences in group characteristics. The research tools included the Female Sexual Function Index (FSFI), the Depression Anxiety Stress Scales-21 (DASS-21), and the EuroQol instrument (EQ-5D). The Greene Climacteric Scale (GCS) was used to verify the foregoing scale. The effects of MBSR were evaluated by the differences between the post- and pre-intervention scores in each scale. Statistical analyses consisted of the descriptive dataset and Mann-Whitney ranked-pairs test. RESULTS: Although MBSR did not significantly improve sexual desire and depression in patients with breast cancer, MBSR could improve parts of female sexual function [i.e., Δarousal: 5.73 vs. -5.96, Δlubrication: 3.35 vs. -3.48, and Δsatisfaction: 8.48 vs. 1.76; all p <.005], with a range from small to medium effect sizes. A significantly benefits were found on mental health [Δanxiety: -10.92 vs.11.36 and Δstress: -10.96 vs.11.40; both p <.001], with large effect sizes, ranging from 0.75 to 0.87. CONCLUSION: Our study revealed that MBSR can improve female sexual function and mental health except for sexual desire and depression in women with breast cancer. Medical staff can incorporate MBSR into clinical health education for patients with breast cancer to promote their overall quality of life.

Multi-Layer Reflectivity Calculation Based Meta-Modeling of the Phase Mapping Function for Highly Reproducible Surface Plasmon Resonance Biosensing.

Phase-sensitive surface plasmon resonance biosensors are known for their high sensitivity. One of the technology bottle-necks of such sensors is that the phase sensorgram, when measured at fixed angle set-up, can lead to low reproducibility as the signal conveys multiple data. Leveraging the sensitivity, while securing satisfying reproducibility, is therefore is an underdiscussed key issue. One potential solution is to map the phase sensorgram into refractive index unit by the use of sensor calibration data, via a simple non-linear fit. However, basic fitting functions poorly portray the asymmetric phase curve. On the other hand, multi-layer reflectivity calculation based on the Fresnel coefficient can be employed for a precise mapping function. This numerical approach however lacks the explicit mathematical formulation to be used in an optimization process. To this end, we aim to provide a first methodology for the issue, where mapping functions are constructed from Bayesian optimized multi-layer model of the experimental data. The challenge of using multi-layer model as optimization trial function is addressed by meta-modeling via segmented polynomial approximation. A visualization approach is proposed for assessment of the goodness-of-the-fit on the optimized model. Using metastatic cancer exosome sensing, we demonstrate how the present work paves the way toward better plasmonic sensors.

Biosensing Amplification by Hybridization Chain Reaction on Phase-Sensitive Surface Plasmon Resonance.

Surface Plasmon Resonance (SPR) is widely used in biological and chemical sensing with fascinating properties. However, the application of SPR to detect trace targets is hampered by non-specific binding and poor signal. A variety of approaches for amplification have been explored to overcome this deficiency including DNA aptamers as versatile target detection tools. Hybridization chain reaction (HCR) is a high-efficiency enzyme-free DNA amplification method operated at room temperature, in which two stable species of DNA hairpins coexist in solution until the introduction of the initiator strand triggers a cascade of hybridization events. At an optimal salt condition, as the concentrations of H1 and H2 increased, the HCR signals were enhanced, leading to signal amplification reaching up to 6.5-fold of the detection measure at 30 min. This feature enables DNA to act as an amplifying transducer for biosensing applications to provide an enzyme-free alternative that can easily detect complex DNA sequences. Improvement of more diverse recognition events can be achieved by integrating HCR with a phase-sensitive SPR (pSPR)-tested aptamer stimulus. This work seeks to establish pSPR aptamer system for highly informative sensing by means of an amplification HCR. Thus, combining pSPR and HCR technologies provide an expandable platform for sensitive biosensing.

Hybridization Chain Reactions Targeting the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2).

In this work, hybridization chain reactions (HCRs) toward Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) nucleocapsid phosphoproteins gene loci and human RNase P are proposed to provide an isothermal amplification screening tool. The proposed chain reactions target the complementary DNA (cDNA) of SARS-CoV-2, with loci corresponding to gold-standard polymerase chain reaction (PCR) loci. Four hybridization chain reaction reactions are demonstrated herein, targeting N1/N2/N3 loci and human RNase P. The design of the hybridization chain reaction, herein, is assisted with an algorithm. The algorithm helps to search target sequences with low local secondary structure and high hybridization efficiency. The loop domain of the fuel hairpin molecule H1 and H2, which are the tunable segments in such reactions, are used as an optimization parameter to improve the hybridization efficiency of the chain reaction. The algorithm-derived HCR reactions were validated with gel electrophoresis. All proposed reactions exhibit a hybridization complex with a molecular mass >1.5k base pairs, which is clear evidence of chain reaction. The hybridization efficiency trend revealed by gel electrophoresis corresponds nicely to the simulated data from the algorithm. The HCR reactions and the corresponding algorithm serve as a basis to further SARS-CoV-2 sensing applications and facilitate better screening strategies for the prevention of on-going pandemics.

Structural characterization and anti-inflammatory activity evaluation of chemical constituents in the extract of Trifolium repens L.

The chemical constituents in Trifolium repens L. were comprehensively studied by UPLC in this work, and a total number of 308 compounds were detected with 169 ones identified. The possible fragmentation pathways were proposed and fragmentation rules were summarized. On the basis of the concluded strategies, the characterized compounds could be classified into organic acids and their derivatives, alkaloids, amino acids, peptides, flavonoids, oligosaccharides, coumarins, and other types of compounds. This approach provided a rapid way for the identification of constituents in T. repens L., and even in other complex analytes. Among the separation and identification of the constituents, three compounds of great amount were isolated and characterized by NMR. The expression of iNOS and COX-2 in LPS-induced RAW 264.7 cells was suppressed by the pretreatment with three isolated constituents. The results implied they may potentially serve as a remedy for the therapy of inflammation. PRACTICAL APPLICATIONS: This work provided a rapid method for the identification of the complex analyte, which could be used in TCM, natural food and so on. The summarized fragmentation rule could be applied for the analysis of several types of compounds, such as organic acids and their derivatives, alkaloids, amino acids and peptides, flavonoids, oligosaccharides, coumarins, and so on. Most of natural plants contain these kinds of compounds, so these rules could have wide applications. Except the phytochemical investigation, T. repens L. displayed anti-inflammation activity according to the reported literature, and the three isolated constituents may potentially serve as a remedy for the therapy of inflammation referring to the result of this research.

Enhanced early immune response of leptospiral outer membrane protein LipL32 stimulated by narrow band mid-infrared exposure.

Previous studies revealed significant impact on cancer cell by mid-infrared (MIR) radiation. However, the effects of narrow band MIR on immune reaction and infectious disease are still unknown. In this study, an enhanced innate immune response was observed through the interaction between Leptospiral outer membrane protein (LipL32) and toll-like receptor 2 (TLR2). Thereafter, human kidney proximal tubular cells (HK-2 cells) initiated a serial reaction of enhanced MCP-1 production. The 6 µm narrow bandwidth light source emitted by waveguide thermal emitter (WTE) was applied to induce carbonyl group (CO bond) stretching vibration during the stage of antigen-receptor complex formation. The amount of MCP-1 gene expression had 2.5 folds increase after narrow band MIR illumination comparing to non-MIR illumination at low dose LipL32 condition. Besides, both ELISA and confocal microscopy results also revealed that the chemokine concentration increased significantly after narrow band MIR illumination either at low or high concentration of LipL32. Furthermore, a specific phenomenon that narrow band MIR can amplify the signal of weak immune response by enhancing sensitivity of the interaction between antigen and receptor was observed. This study exhibits clear evidence that the narrow band MIR exposure can modulate the early immune response of infectious disease and play a potential role to develop host-directed therapy in the future.

Gold Nanoparticle-Based Colorimetric Strategies for Chemical and Biological Sensing Applications.

Gold nanoparticles are popularly used in biological and chemical sensors and their applications owing to their fascinating chemical, optical, and catalytic properties. Particularly, the use of gold nanoparticles is widespread in colorimetric assays because of their simple, cost-effective fabrication, and ease of use. More importantly, the gold nanoparticle sensor response is a visual change in color, which allows easy interpretation of results. Therefore, many studies of gold nanoparticle-based colorimetric methods have been reported, and some review articles published over the past years. Most reviews focus exclusively on a single gold nanoparticle-based colorimetric technique for one analyte of interest. In this review, we focus on the current developments in different colorimetric assay designs for the sensing of various chemical and biological samples. We summarize and classify the sensing strategies and mechanism analyses of gold nanoparticle-based detection. Additionally, typical examples of recently developed gold nanoparticle-based colorimetric methods and their applications in the detection of various analytes are presented and discussed comprehensively.

Study on Chemical Profile and Neuroprotective Activity of Myrica rubra Leaf Extract.

The chemical profile of Myrica rubra (a native species in China) leaf extract was investigated by UPLC-PDA-HRMS, and the neuroprotective activity of two characteristic constituents, myricanol and myricetrin, was evaluated with N2a cells using H2O2-inducedoxidative challenge through a series of methods, e.g., MTT assay, ROS assay and [Ca2+]i assay. Among the 188 constituents detected in the extract of Myrica rubra leaf, 116 were identified definitely or tentatively by the comprehensive utilization of precise molecular weight and abundant multistage fragmentation information obtained by quadrupole orbitrap mass spectrometry. In addition, 14 potential new compounds were reported for the first time. This work established an example for the research of microconstituents in a complex analyte and revealed that suppression of H2O2-induced cytotoxicity in N2a cells was achieved by the pretreatment with myricanol. The evidence suggested myricanol may potentially serve as a remedy for prevention and therapy of neurodegenerative diseases induced by oxidative stress.