Assessment of psychometric properties of the union physio-psycho-social assessment questionnaire (UPPSAQ-70) in a large sample of general hospital psychiatric outpatients.

OBJECTIVE: To evaluate the psychometric properties of the Union Physio-Psycho-Social Assessment Questionnaire (UPPSAQ-70) among general hospital psychiatric outpatients. METHODS: A total of 2000 participants responded to the survey. Factor analyses were used to test the construct validity of the scale. Convergent validity was evaluated by the correlation between UPPSAQ-70 and symptoms measured using the Chinese versions of Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), Patient Health Questionnaire-15 (PHQ-15), Somatic Symptom Disorder - B Criteria Scale (SSD-12) and Pittsburgh Sleep Quality Index (PSQI). RESULTS: The nine-factor model was supported (χ2 = 8816.395, df = 2309, χ2/df = 3.818, RMSEA = 0.053, CFI = 0.929). The UPPSAQ-70 showed significant correlation with the SAS (r = 0.396, P < .001), SDS (r = 0.451, P < .001), PHQ-15 (r = 0.381, P < .001), SSD-12 (r = 0.324, P < .001) and PSQI (r = 0.220, P < .001). UPPSAQ-70 and its subscales showed good internal consistency with Cronbach's alpha coefficients ranging from 0.79 to 0.96. CONCLUSIONS: The UPPSAQ-70 was a rating scale with good construct validity and reliability, which can measure overall health in the biological, psychological, and social domains for Chinese psychiatric outpatients, but its convergent validity still requires further empirical research.

Development model based on visual image big data applied to art management.

This paper aims to explore the application of visual image big data (BD) in art management, and proposes and develops a new art management model. First of all, this study conducted extensive research on the overview and application of big data, focusing on analyzing the characteristics of big data and its characteristics and application methods in art management. By introducing image processing (IP) technology, this paper expounds on the application of visual image technology in art management in detail and discusses the classification of computer vision images to determine its application direction. On this basis, this paper proposes the application of visual images and big data in art management from three aspects: the accurate acquisition of visual images, the development model of art management, and the development of visual image technology in art resource management and teaching, and strengthens the development model of art management based on IP algorithm. Experiments and surveys show that the art management model development system built by the newly introduced visual image technology, big data technology, and IP algorithm can increase user satisfaction by 24 %. This result shows that the new model has a significant effect in improving the efficiency and quality of art management, providing strong technical support for the field of art management, while also providing designers with a more accurate tool for assessing market trends, helping to adhere to and promote good design concepts.

Phloroglucinol-Induced Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) Syndrome with Subsequent Fulminant Type 1 Diabetes (FT1D): A Rare Case and Literature Review.

This study reported a woman with drug reaction with eosinophilia and systemic symptom (DRESS) syndrome induced by phloroglucinol who developed fulminant type 1 diabetes as sequelae. The literature review emphasized the necessity of at least seven months of follow-up for better management of DRESS syndrome.

Subxiphoid video-assisted thoracoscopic extend thymectomy with sternal suspension for thymoma.

BACKGROUND: Thymoma is a primary tumor of the thymus, commonly located in the anterior mediastinum. Most thymomas are benign or low-grade malignant, but they can invade surrounding organs or metastasize. The primary treatment for thymoma is surgical resection. Traditional methods involve open thoracotomy, but it is traumatic, with slow recovery and many complications. In recent years, with the development of thoracoscopic techniques, thoracoscopic total thymectomy has gradually become the preferred method for small size thymomas due to its minimally invasive, safe, and effective. METHODS: This paper introduces a thoracoscopic extend thymectomy technique, the subxiphoid video-assisted thoracoscopic extend thymectomy with sternal suspension. This method involves placing hooks at the upper and lower ends of the sternum to suspend the sternum upward, increasing the thoracic cavity space and facilitating thoracoscopic operations. This research reviews the clinical data of 59 patients with early-stage thymomas treated with this technique at our center since 2020 and analyzes the perioperative therapeutic efficacy and safety. It also compares the outcomes with those of 17 patients who underwent thoracoscopic approaches. RESULTS: The results show that subxiphoid video-assisted thoracoscopic total thymectomy with sternal suspension is an innovative and effective surgical method, achieving the same tumor eradication as other thoracic surgeries. The flexible switching of observation ports provides a more comprehensive surgical field, reduces surgical trauma and complications, and improves the surgical outcomes and quality of life for patients.

Plant-based diet indices and their interaction with ambient air pollution on the ovarian cancer survival: A prospective cohort study.

BACKGROUND: Ambient air pollution might serve as a prognostic factor for ovarian cancer (OC) survival, yet the relationships between plant-based diet indices (PDIs) and OC survival remain unclear. We aimed to investigate the associations of comprehensive air pollution and PDIs with OC survival and explored the effects of air pollution-diet interactions. METHODS: The present study encompassed 658 patients diagnosed with OC. The overall plant-based diet index (PDI), the healthful PDI (hPDI), and the unhealthful PDI (uPDI) were evaluated by a self-reported validated food frequency questionnaire. In addition, an air pollution score (APS) was formulated by summing the concentrations of particulate matter with a diameter of 2.5 microns or less, ozone, and nitrogen dioxide. Cox proportional hazard models were applied to calculate hazard ratios (HRs) and 95 % confidence intervals (CIs). The potential interactions of APS with PDIs in relation to overall survival (OS) were assessed on both multiplicative and additive scales. RESULTS: Throughout a median follow-up of 37.60 (interquartile: 24.77-50.70) months, 123 deaths were confirmed. Comparing to the lowest tertiles, highest uPDI was associated with lower OS of OC (HR = 2.06, 95 % CI = 1.30, 3.28; P-trend < 0.01), whereas no significant associations were found between either overall PDI or hPDI and OC survival. Higher APS (HR for per interquartile range = 1.27, 95 % CI = 1.01, 1.60) was significantly associated with worse OC survival, and the association was exacerbated by adherence to uPDI. Notably, an additive interaction was identified between combined air pollution and uPDI (P < 0.005 for high APS and high uPDI). We also found that adherence to overall PDI aggravated associations of air pollution with OC survival (P-interaction = 0.006). CONCLUSIONS: Joint exposure to various ambient air pollutants was significantly associated with lower survival among patients with OC, particularly for those who predominantly consumed unhealthy plant-based foods.

Interplay between MRI-based axon diameter and myelination estimates in macaque and human brain.

Axon diameter and myelin thickness are closely related microstructural tissue properties that affect the conduction velocity of action potentials in the nervous system. Imaging them non-invasively with MRI-based methods is thus valuable for studying brain microstructure and function. However, the relationship between MRI-based axon diameter and myelination measures has not been investigated across the brain, mainly due to methodological limitations in estimating axon diameters. In recent years, studies using ultra-high gradient strength diffusion MRI (dMRI) have demonstrated improved estimation of axon diameter across white-matter (WM) tracts in the human brain, making such investigations feasible. In this study, we aim to investigate relationships between tissue microstructure properties with MRI-based methods and compare the imaging findings to histological evidence from the literature. We collected dMRI with ultra-high gradient strength and multi-echo spin-echo MRI on ex vivo macaque and human brain samples on a preclinical scanner. From these data, we estimated axon diameter, intra-axonal signal fraction, myelin water fraction (MWF) and aggregate g-ratio and investigated their correlations. We found that the microstructural imaging parameters exhibited consistent patterns across WM tracts and species. Overall, the findings suggest that MRI-based axon geometry and myelination measures can provide complementary information about fiber morphology, and the relationships between these measures agree with prior histological evidence.

Whole-genome bisulfite sequencing data analysis learning module on Google Cloud Platform.

This study describes the development of a resource module that is part of a learning platform named 'NIGMS Sandbox for Cloud-based Learning' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox at the beginning of this Supplement. This module is designed to facilitate interactive learning of whole-genome bisulfite sequencing (WGBS) data analysis utilizing cloud-based tools in Google Cloud Platform, such as Cloud Storage, Vertex AI notebooks and Google Batch. WGBS is a powerful technique that can provide comprehensive insights into DNA methylation patterns at single cytosine resolution, essential for understanding epigenetic regulation across the genome. The designed learning module first provides step-by-step tutorials that guide learners through two main stages of WGBS data analysis, preprocessing and the identification of differentially methylated regions. And then, it provides a streamlined workflow and demonstrates how to effectively use it for large datasets given the power of cloud infrastructure. The integration of these interconnected submodules progressively deepens the user's understanding of the WGBS analysis process along with the use of cloud resources. Through this module, we can enhance the accessibility and adoption of cloud computing in epigenomic research, speeding up the advancements in the related field and beyond. This manuscript describes the development of a resource module that is part of a learning platform named ``NIGMS Sandbox for Cloud-based Learning'' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox [1] at the beginning of this Supplement. This module delivers learning materials on the analysis of bulk and single-cell ATAC-seq data in an interactive format that uses appropriate cloud resources for data access and analyses.

The Roles of mTOR Signaling in Nasopharyngeal Carcinoma: From Pathogenesis to Therapy

Nasopharyngeal carcinoma (NPC) is an epithelial malignancy caused by cancer of the mucosal epithelial cells of the nasopharynx. Most patients with NPC present with distant metastases and treatment resistance, both of which challenge current anti-tumour drugs. The mammalian target of the rapamycin (mTOR) signalling pathway is one of the most highly activated signalling pathways in NPC and plays an important role in various cellular activities. Dysfunction of mTOR and related signalling pathways induces tumour metabolism and growth. In this review, we summarize current evidence to evaluate the potential mechanisms by which mTOR is implicated in NPC. It was found that activating mTOR and its upstream and downstream signalling can promote tumor growth and survival of NPC. It is possible that EMT and autophagy regulated by cellular mTOR signalling activities may be implicated in the metastases and radioresistance of NPC.

Association between pre- and post-diagnosis healthy eating index 2020 and ovarian cancer survival: evidence from a prospective cohort study.

Background: Previous studies on the association between diet quality and ovarian cancer (OC) survival are limited and inconsistent. We evaluated the relationship between pre- and post-diagnosis diet quality based on the Healthy Eating Index-2020 (HEI-2020), as well as their changes and OC survival. Methods: This prospective cohort study involved 1082 patients with OC aged 18-79 years, enrolled between 2015 and 2022. Detailed dietary intake before and after diagnosis was recorded using a validated food frequency questionnaire. Deaths were ascertained until February 16th, 2023 via medical records and active follow-up. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI). Results: We included 549 OC cases with a median follow-up of 44.9 months, representing 206 total deaths. Higher HEI scores were associated with better OS (pre-diagnosis: HRT3 vs. T1 0.66, 95%CI: 0.46-0.93, HR1-SD 0.84, 95%CI: 0.73-0.96; post-diagnosis: HRT3 vs. T1 0.68, 95%CI: 0.49-0.96, HR1-SD 0.80, 95%CI: 0.69-0.92). Compared to the stable group, the group with decreased HEI scores (>3%) from pre- to post-diagnosis had worse OS (HR 1.93, 95%CI: 1.26-2.97). Conclusion: High pre- and post-diagnosis diet quality was associated with improved OC survival, whereas deterioration in diet quality after diagnosis was associated with decreased OC survival.

Roles of Tubulin Concentration during Prometaphase and Ran-GTP during Anaphase of Caenorhabditis elegans Meiosis.

In many animal species, the oocyte meiotic spindle, which is required for chromosome segregation, forms without centrosomes. In some systems, Ran-GEF on chromatin initiates spindle assembly. We found that in Caenorhabditis elegans oocytes, endogenously-tagged Ran-GEF dissociates from chromatin during spindle assembly but re-associates during meiotic anaphase. Meiotic spindle assembly occurred after auxin-induced degradation of Ran-GEF, but anaphase I was faster than controls and extrusion of the first polar body frequently failed. In search of a possible alternative pathway for spindle assembly, we found that soluble tubulin concentrates in the nuclear volume during germinal vesicle breakdown. We found that the concentration of soluble tubulin in the metaphase spindle region is enclosed by ER sheets which exclude cytoplasmic organelles including mitochondria and yolk granules. Measurement of the volume occupied by yolk granules and mitochondria indicated that volume exclusion would be sufficient to explain the concentration of tubulin in the spindle volume. We suggest that this concentration of soluble tubulin may be a redundant mechanism promoting spindle assembly near chromosomes.

The interaction between oral microbiota and gut microbiota in atherosclerosis.

Atherosclerosis (AS) is a complex disease caused by multiple pathological factors threatening human health-the pathogenesis is yet to be fully elucidated. In recent years, studies have exhibited that the onset of AS is closely involved with oral and gut microbiota, which may initiate or worsen atherosclerotic processes through several mechanisms. As for how the two microbiomes affect AS, existing mechanisms include invading plaque, producing active metabolites, releasing lipopolysaccharide (LPS), and inducing elevated levels of inflammatory mediators. Considering the possible profound connection between oral and gut microbiota, the effect of the interaction between the two microbiomes on the initiation and progression of AS has been investigated. Findings are oral microbiota can lead to gut dysbiosis, and exacerbate intestinal inflammation. Nevertheless, relevant research is not commendably refined and a concrete review is needed. Hence, in this review, we summarize the most recent mechanisms of the oral microbiota and gut microbiota on AS, illustrate an overview of the current clinical and epidemiological evidence to support the bidirectional connection between the two microbiomes and AS.

Identifying a competency improvement strategy for infection prevention and control professionals: A rapid systematic review and cluster analysis.

Remarkable progress has been made in infection prevention and control (IPC) in many countries, but some gaps emerged in the context of the coronavirus disease 2019 (COVID-19) pandemic. Core capabilities such as standard clinical precautions and tracing the source of infection were the focus of IPC in medical institutions during the pandemic. Therefore, the core competences of IPC professionals during the pandemic, and how these contributed to successful prevention and control of the epidemic, should be studied. To investigate, using a systematic review and cluster analysis, fundamental improvements in the competences of infection control and prevention professionals that may be emphasized in light of the COVID-19 pandemic. We searched the PubMed, Embase, Cochrane Library, Web of Science, CNKI, WanFang Data, and CBM databases for original articles exploring core competencies of IPC professionals during the COVID-19 pandemic (from January 1, 2020 to February 7, 2023). Weiciyun software was used for data extraction and the Donohue formula was followed to distinguish high-frequency technical terms. Cluster analysis was performed using the within-group linkage method and squared Euclidean distance as the metric to determine the priority competencies for development. We identified 46 studies with 29 high-frequency technical terms. The most common term was "infection prevention and control training" (184 times, 17.3%), followed by "hand hygiene" (172 times, 16.2%). "Infection prevention and control in clinical practice" was the most-reported core competency (367 times, 34.5%), followed by "microbiology and surveillance" (292 times, 27.5%). Cluster analysis showed two key areas of competence: Category 1 (program management and leadership, patient safety and occupational health, education and microbiology and surveillance) and Category 2 (IPC in clinical practice). During the COVID-19 pandemic, IPC program management and leadership, microbiology and surveillance, education, patient safety, and occupational health were the most important focus of development and should be given due consideration by IPC professionals.

Transarterial chemoembolization combined with atezolizumab plus bevacizumab conversion therapy for intermediate-stage hepatocellular carcinoma: a case report and literature review.

Hepatocellular carcinoma (HCC) ranks as the sixth most common malignancy globally, with the majority of patients presenting at the initial diagnosis with locally advanced or metastatic disease, precluding the opportunity for curative surgical intervention. With the exploration and advancement of locoregional treatments, novel molecular-targeted therapies, anti-angiogenic agents, and immunomodulatory drugs, the management of HCC has seen an increase in objective response rates and prolonged duration of response significantly enhancing the potential for conversion to resectable disease in intermediate and advanced-stage unresectable HCC. Herein, we present a case of Barcelona Clinic Liver Cancer stage B unresectable HCC, where after two courses of treatment with transarterial chemoembolization combined with atezolizumab plus bevacizumab significant tumor reduction was achieved. Per Response Evaluation Criteria in Solid Tumors 1.1, partial response culminated in successful curative surgical resection. No drug-related adverse reactions occurred during hospitalization, and there has been no recurrence during the 11-month postoperative follow-up. For patients with Barcelona Clinic Liver Cancer stage B (intermediate-stage) unresectable HCC, the transarterial chemoembolization combined with atezolizumab plus bevacizumab regimen may offer improved therapeutic outcomes leading to a higher success rate of conversion therapy and, thus, improved survival.

Building consensus on the application of organoid-based drug sensitivity testing in cancer precision medicine and drug development.

Patient-derived organoids (PDOs) have emerged as a promising platform for clinical and translational studies. A strong correlation exists between clinical outcomes and the use of PDOs to predict the efficacy of chemotherapy and/or radiotherapy. To standardize interpretation and enhance scientific communication in the field of cancer precision medicine, we revisit the concept of PDO-based drug sensitivity testing (DST). We present an expert consensus-driven approach for medication selection aimed at predicting patient responses. To further standardize PDO-based DST, we propose guidelines for clarification and characterization. Additionally, we identify several major challenges in clinical prediction when utilizing PDOs.

PPIA dictates NRF2 stability to promote lung cancer progression.

Nuclear factor erythroid 2-related factor 2 (NRF2) hyperactivation has been established as an oncogenic driver in a variety of human cancers, including non-small cell lung cancer (NSCLC). However, despite massive efforts, no specific therapy is currently available to target NRF2 hyperactivation. Here, we identify peptidylprolyl isomerase A (PPIA) is required for NRF2 protein stability. Ablation of PPIA promotes NRF2 protein degradation and blocks NRF2-driven growth in NSCLC cells. Mechanistically, PPIA physically binds to NRF2 and blocks the access of ubiquitin/Kelch Like ECH Associated Protein 1 (KEAP1) to NRF2, thus preventing ubiquitin-mediated degradation. Our X-ray co-crystal structure reveals that PPIA directly interacts with a NRF2 interdomain linker via a trans-proline 174-harboring hydrophobic sequence. We further demonstrate that an FDA-approved drug, cyclosporin A (CsA), impairs the interaction of NRF2 with PPIA, inducing NRF2 ubiquitination and degradation. Interestingly, CsA interrupts glutamine metabolism mediated by the NRF2/KLF5/SLC1A5 pathway, consequently suppressing the growth of NRF2-hyperactivated NSCLC cells. CsA and a glutaminase inhibitor combination therapy significantly retard tumor progression in NSCLC patient-derived xenograft (PDX) models with NRF2 hyperactivation. Our study demonstrates that targeting NRF2 protein stability is an actionable therapeutic approach to treat NRF2-hyperactivated NSCLC.

Exacerbated lung inflammation in offspring with high maternal antibody levels following secondary RSV exposure.

Respiratory syncytial virus (RSV) is the primary cause of bronchiolitis-related hospitalizations among children under 5 years of age, with reinfection being common throughout life. Maternal vaccination has emerged as a promising strategy, delivering elevated antibody levels to newborns for immediate protection. However, limited research has explored the protective efficacy of maternal antibodies (matAbs) against secondary RSV infections in offspring. To address this gap, we employed a mouse model of maternal RSV vaccination and secondary infection of offspring to evaluate lung pathology following RSV reinfection in mice with varying levels of maternal antibody (matAb). Additionally, we aimed to investigate the potential causes of exacerbated lung inflammation in offspring with high matAb levels following secondary RSV exposure. Our findings revealed that offspring with elevated levels of maternal pre-F antibody demonstrated effective protection against lung pathology following the initial RSV infection. However, this protection was compromised upon reinfection, manifesting as heightened weight loss, exacerbated lung pathology, increased expression of RSV-A N genes, eosinophilia, enhanced IL-5, IL-13, MUC5AC, and eosinophils Major Basic Protein (MBP) production in lung tissue compared to offspring lacking matAbs. Importantly, these unexpected outcomes were not attributed to antibody-dependent enhancement (ADE) resulting from declining matAb levels over time. Notably, our findings showed a decline in secretory IgA (sIgA), mucosal IgA, and mucosal IgG levels in offspring with high matAb levels post-primary RSV challenge. We propose that this decline may be a critical factor contributing to the ineffective protection observed during secondary RSV exposure. Overall, these findings offer valuable insights into maternal vaccination against RSV, contributing to a comprehensive understanding and mitigation of potential risks associated with maternal RSV vaccination.

High-Sensitivity Differential Helmholtz Photoacoustic System Combined with the Herriott Multipass Cell and Its Application in Seed Respiration.

A highly sensitive photoacoustic detection system using a differential Helmholtz resonator (DHR) combined with a Herriott multipass cell is presented, and its implementation to sub-ppm level carbon dioxide (CO2) detection is demonstrated. Through the utilization of erbium-doped optical fiber amplifier (EDFA), the laser power was amplified to 150 mW. Within the multipass cell, a total of 22 reflections occurred, contributing to an impressive 33.6 times improvement in the system sensitivity. The normalized noise equivalent absorption coefficient (NNEA) was 8.64 × 10-11 cm-1·W·Hz-1/2 [signal-to-noise ratio, (SNR) = 1] and according to the Allan variance analysis, a minimum detection limit of 500 ppb could be achieved for CO2 at 1204 s, which demonstrates the long-term stability of the system. The system was applied to detect the respiration of rice and upland rice seeds. It is demonstrated that the system can monitor and distinguish the respiration intensity and respiration rate of different seeds in real time.