Development of highly sensitive dual-enhanced fluorescence quenching immunochromatographic test strips based on Pt nanoprobes.

The fluorescence-quenching method is crucial in vitro analysis, particularly for immunochromatographic test strips (ICTs) using noble metal nanoparticles as probes. However, ICTs still fall short in meeting the requirements for the detection of traces biomarkers due to the noble metal nanoparticles can only quench fluorescence of the dyes within a confined distance. Interestingly, noble metal nanoparticles, such as Pt NPs cannot only perform fluorescence-quenching ability based on the Förster resonance energy transfer (FRET), but also show perfect oxidase-like catalytic performance on many kinds of substrates, such as 3,3',5,5' -tetramethylbenzidine (TMB). We observed that the oxTMB (the oxidation products of TMB) exhibited notable effectiveness in quenching Cy5 fluorescence by the strong inner filter effect (IFE), which obviously improved the fluorescence-quenching efficiency with extremely low background signal. Through the dual-enhanced fluorescence quenching mechanism, the fluorescence quenching constant (Kn) was 661.24-fold that of only Pt NPs on the NC membrane. To validate the feasibility of this technique, we employed two types of biomarkers, namely microRNA (miR-15a-5p) and the signature protein (PSA). The sensitivity of miR-15a-5p was 9.286 × 10-18 mol/L and 17.5-fold more than that based on Pt NPs. As for the PSA, the LOD (0.6265 pg/mL) was 15.5-fold enhancement more sensitive after catalysis. Overall, the dual-enhanced fluorescence quenching rFICTs could act as a practical detection for biomarker in real samples.

Whole-orbit radiomics: machine learning-based multi- and fused- region radiomics signatures for intravenous glucocorticoid response prediction in thyroid eye disease.

BACKGROUND: Radiomics analysis of orbital magnetic resonance imaging (MRI) shows preliminary potential for intravenous glucocorticoid (IVGC) response prediction of thyroid eye disease (TED). The current region of interest segmentation contains only a single organ as extraocular muscles (EOMs). It would be of great value to consider all orbital soft tissues and construct a better prediction model. METHODS: In this retrospective study, we enrolled 127 patients with TED that received 4·5 g IVGC therapy and had complete follow-up examinations. Pre-treatment orbital T2-weighted imaging (T2WI) was acquired for all subjects. Using multi-organ segmentation (MOS) strategy, we contoured the EOMs, lacrimal gland (LG), orbital fat (OF), and optic nerve (ON), respectively. By fused-organ segmentation (FOS), we contoured the aforementioned structures as a cohesive unit. Whole-orbit radiomics (WOR) models consisting of a multi-regional radiomics (MRR) model and a fused-regional radiomics (FRR) model were further constructed using six machine learning (ML) algorithms. RESULTS: The support vector machine (SVM) classifier had the best performance on the MRR model (AUC = 0·961). The MRR model outperformed the single-regional radiomics (SRR) models (highest AUC = 0·766, XGBoost on EOMs, or LR on OF) and conventional semiquantitative imaging model (highest AUC = 0·760, NaiveBayes). The application of different ML algorithms for the comparison between the MRR model and the FRR model (highest AUC = 0·916, LR) led to different conclusions. CONCLUSIONS: The WOR models achieved a satisfactory result in IVGC response prediction of TED. It would be beneficial to include more orbital structures and implement ML algorithms while constructing radiomics models. The selection of separate or overall segmentation of orbital soft tissues has not yet attained its final optimal result.

Cancer patients' return-to-work adaptation experience and coping resources: a grounded theory study.

OBJECTIVE: To explore the return-to-work adaptation experience and coping resources used by cancer patients. METHODS: With the help of the Nantong Cancer Friends Association, from June 2019 to January 2020, this study recruited 30 cancer patients who had returned to work using purpose sampling, snowball sampling and theoretical sampling. The researchers analyzed the data using initial-, focusing-, and theoretical coding. RESULTS: The adaptation of cancer patients to return-to-work is a rebuilding process by taking advantage of the available personal and external coping resources. The adaptation experience includes: focusing on rehabilitation, rebuilding self-efficacy, and adjusting plans. CONCLUSION: Medical staff should help patients mobilize coping resources to adapt to return to work.

Development and validation of Adaptability to Return-to-Work Scale (ARTWS) for cancer patients.

Introduction: The research on cancer patients returning to work in China is still in its infancy, and there is no research and discussion on the adaptability to return-to-work for cancer patients. It is critical to develop the Adaptability to Return-to-Work Scale (ARTWS) for cancer patients and evaluate its psychometric properties. Methods: The items of the initial scale were compiled based on the theoretical model and literature review results. Through two rounds of Delphi expert consultation (N = 15) and a pilot survey (N = 40), the initial scale was further checked and revised. Conduct a large sample survey (N = 376) and the construct validity and reliability of the ARTWS were assessed by confirmatory factor analysis (CFA) and exploratory factor analysis (EFA). Results: The final ARTWS consisted of 24 items. "Focusing on rehabilitation," "Rebuilding Self-efficiency," and "Adjusting plans" as common factors in determining adaptability to return to work for cancer patients, and the cumulative variance contribution rate for these three factors was 66.6%. The S-CVI of the total scale was 0.979. The Cronbach's α coefficient was 0.937 and the 2-week test-retest reliability was 0.814. Discussion: ARTWS has good correlation validity and can be used as a tool to measure the adaptability of cancer patients' return to work. The presentation of the manuscript in Research Square (https://doi.org/10.21203/rs.3.rs-2323264/v1).

Exploration of interventions to enhance return-to-work for cancer patients: A scoping review.

OBJECTIVE: With the increasing incidence and earlier onset of cancer, more and more cancer patients are facing the problems of return-to-work. This review is to explore the types, contents, and results of return-to-work interventions for cancer patients. METHODS: This scoping review followed Arksey and O'Malley's framework and PRISMA-ScR List. Three Chinese databases and five English databases were searched from the establishment of databases to 31 March, 2021. Article selection and data extraction were conducted by two researchers. RESULTS: Thirty-two studies and 1916 cancer patients with mainly breast and gastrointestinal cancer were included. According to the contents, interventions could be divided into four types: (1) physical interventions (n = 6), including high-intensity exercise, low-to-moderate intensity exercise, yoga, and upper limb functional training, (2) psychological interventions (n = 2), including early active individualized psychosocial support and mindfulness-based recovery, (3) vocational interventions (n = 14), including making work plans, educational leaflets, vocational consultations, electronic health intervention, and interventions targeting at employers, (4) multidisciplinary interventions (n = 10), including any combination of above interventions. Physical exercises, making working plans, vocational consultations, educational leaflets, two combinations of vocational and physical interventions were validated to have positive results in enhancing cancer patients' return-to-work. CONCLUSIONS: Return-to-work interventions for cancer patients are diversified and can be divided into physical, psychological, vocational, and multidisciplinary interventions. Medical staffs can utilize physical exercises, making working plans, vocational consultation, educational leaflets, combinations of vocational and physical interventions to enhance cancer patients' return-to-work. Other interventions still need to be developed and validated.

Arginine Regulates NLRP3 Inflammasome Activation Through SIRT1 in Vascular Endothelial Cells.

L-arginine (Arg), a semi-essential amino acid, has recently been shown to attenuate inflammatory response during cardiovascular disease. NLRP3 inflammasome serves a central role in amplification of cellular inflammation. In this study, we aimed to confirm the modulatory effect of Arg on NLRP3 inflammasome and the underlying mechanisms in vascular endothelial cells (ECs). Arg suppressed NLRP3 inflammasome activation in ECs stimulated with lipopolysaccharide (LPS) and adenosine triphosphate (ATP). Moreover, treatment with Arg increased the expression of the deacetylase sirtuin 1 (SIRT1) in ECs. Importantly, knockdown of SIRT1 abolished the inhibitory potential of Arg on the activation of NLRP3 inflammasome. Further study indicated that Arg also alleviated LPS plus ATP-induced the generation of reactive oxygen species (ROS) in ECs. In addition, Arg may regulate NLRP3 inflammasome activation partly through suppression of ROS production. In combination, we speculate that Arg exerts an inhibitory effect on the activation of NLRP3 inflammasome in ECs, which may be partly mediated by SIRT1 and ROS.