Emphasizing autonomic dysregulation evaluation contributes to the diagnosis of ROHHAD syndrome.

OBJECTIVE: Rapid-onset obesity with hypoventilation, hypothalamic dysfunction, and autonomic dysregulation (ROHHAD) is rare, and manifestations of autonomic dysregulation are diverse and may be overlooked. We aimed to evaluate the incidence of these manifestations. METHODS: Patients with ROHHAD syndrome reported before and after 2019 were divided into Groups 1 and 2. Patients who were diagnosed at three regional hospitals in China were included in Group 3. We collected the age of each specific term of the ROHHAD (neurogenic tumor, NET) acronym and the detailed manifestations of each term, and compared them among the three groups. RESULTS: A total of 16 patients were diagnosed within the 2-year period. Two had neurogenic tumors and cognitive and behavioral abnormalities before developing rapid obesity. At least 93.8% of the patients had ≥ 4 symptoms of autonomic dysregulation. When comparing autonomic dysregulation among Groups 1-3, the rates of cardiovascular manifestations were NA vs. 12.8% vs. 81.2%; gastrointestinal disturbances were 11.4% vs. 8.5% vs. 62.5%; strabismus was 25.7% vs. 12.8% vs. 62.5%; sleep disturbance was NA vs. 6.4% vs. 50.0%; and abnormal pain threshold was NA vs. 10.6% vs. 25.0% (all p<0.05). The rates of cognitive and behavioral abnormalities were NA vs 29.8% and 87.5% (p<0.01). CONCLUSIONS: Rapid-onset obesity is not always the first sign of ROHHAD syndrome. Higher rates of autonomic dysregulation and cognitive and behavioral abnormalities with multiple manifestations of autonomic dysregulation coexisted in our cohort, indicating that evaluations of autonomic function and the limbic system should be strengthened when assessing this condition.

Colorimetric and fluorescent probes for cysteine detection: Applications in food safety and cellular imaging.

In this study, three BODIPY-based fluorescent probes were designed and synthesized. The ultraviolet-visible spectra, fluorescence spectra, smartphone color recognition application and bioimaging were utilized to evaluate the capacity of the probes. By comparing key parameters, BDP-SIN had optimal performances including fastest response (10 min), highest signal-to-noise ratio (815 times) and lowest limit of detection (LOD = 49 nM). The recovery rate ranged from 92.04 % to 103.25 %. Meanwhile, BDP-SIN was triumphantly employed for determination of Cys in different daily food samples. Moreover, the test strips and microporous filter membrane loaded with BDP-SIN were developed for the portable real-time visualization and quantitative detection of Cys in food samples, which the contents ranged from 0.27 µM to 0.49 µM. Besides, BDP-SIN could image Cys in the living cells and mice. The novelty of this work was that developed an effective tool for researching the roles of Cys in food industry and living organisms.

The impact of sex hormones on metabolic syndrome: univariable and multivariable Mendelian randomization studies.

BACKGROUND: Observational studies have found associations between sex hormones and metabolic syndrome(Mets), but the causal relationships remains unclear. This study utilizes univariable and multivariable Mendelian randomization (MR) to elucidate the associations between sex hormones (including sex hormone-binding globulin(SHBG), estradiol(E2), testosterone(T)) and Mets and its subtypes (including waist circumference(WC), fasting blood glucose(FBG), high blood pressure(HBP), high-density lipoprotein(HDL-C), triglycerides(TG)). METHODS: We utilized summary data from large-scale genome-wide association studies. Univariable Mendelian randomization (UMVMR) analysis was primarily conducted using the inverse variance weighted method (IVW), with secondary analyses employing the weighted median, MR-Egger regression, simple mode method, and weighted mode method. Subsequently, multivariable Mendelian randomization (MVMR) was employed to assess the causal relationships between SHBG, T, E2, and MetS and its components: WC, FPG, HBP, HDL-C, and TG. Sensitivity analyses were conducted to assess result reliability. RESULTS: Genetically predicted SHBG was significantly negatively associated with MetS (UMVMR: ß=-0.72; 95% CI = 0.41 to 0.57; P = 1.28e-17; MVMR: ß=-0.60; 95% CI=-0.83 to -0.38; P < 0.001). Positive causal relationships were observed between SHBG and WC(MVMR: ß = 0.10; 95% CI = 0.03 to 0.17; P = 0.01) and HDL-C (MVMR: ß = 0.41; 95% CI = 0.21 to 0.60; P < 0.001), while negative causal relationships were found between SHBG and HBP (MVMR: ß=-0.02; 95% CI=-0.04 to -0.00; P = 0.02), TG (MVMR: ß=-0.48; 95% CI=-0.70 to -0.26; P < 0.001). Genetically predicted E2 exhibited a negative association with TG (MVMR: ß=-1.49; 95% CI=-2.48 to -0.50; P = 0.003). Genetically predicted T was negatively associated with TG (MVMR: ß=-0.36; 95% CI=-0.71 to -0.00; P = 0.049) and WC (MVMR: ß=-0.13; 95% CI=-0.24 to -0.02; P = 0.02), with inconsistent sensitivity analyses. Additionally, No other causal associations were found. CONCLUSION: Our study indicates that SHBG is a protective factor for MetS, potentially delaying its onset and progression through improvements in HBP and TG. Furthermore, T and E2 may improve TG levels, with T also reducing WC levels. Importantly, our study provides new insights for the prevention and treatment of MetS.

Effect of microwave combined with ethanol pretreatment on the quality of potato CO2 explosion puffing drying.

To enhance the drying quality of potato slices, this investigation employed a microwave heating (MH) combined with ethanol osmotic dehydration (EOD) pretreatment strategy to improve the quality of explosion puffing drying (EPD). This paper systematically investigated the effects of different pretreatment methods (no treatment, HAD, MH, EOD, MH+EOD) on the quality and physicochemical properties of potato slices subjected to CO2-EPD. The results showed that after MH and EOD pretreatments, the internal pores of the potato slices exhibited a uniform porous structure. The MH+EOD+CO2-EPD treatment demonstrated superior expansion, crispness, hardness, and color, with higher retention rates of vitamin C and protein. The measurements were an expansion ratio of 2.15, hardness of 1290.01 g, crispness of 745.94 g, ΔE of 6.54, protein content of 1.99 g/100 g, and VC content of 17.33 mg/100 g. Additionally, the study explored the effects of microwave power, microwave drying time, ethanol concentration, and ethanol soaking time on the expansion ratio, hardness, crispness, protein content, VC content, and color. MH+EOD+CO2-EPD is an environmentally sustainable and efficient solution with potential for widespread industrial application to enhance processing quality and economic benefits.

Alkaline phosphatase-activated prodrug system based on a bifunctional CuO NP tandem nanoenzyme for on-demand bacterial inactivation and wound disinfection.

Nanozymes are promising antimicrobials, as they produce reactive oxygen species (ROS). However, the intrinsic lack of selectivity of ROS in distinguishing normal flora from pathogenic bacteria deprives nanozymes of the necessary selectivities of ideal antimicrobials. Herein, we exploit the physiological conditions of bacteria (high alkaline phosphatase (ALP) expression) using a novel CuO nanoparticle (NP) nanoenzyme system to initiate an ALP-activated ROS prodrug system for use in the on-demand precision killing of bacteria. The prodrug strategy involves using 2-phospho-L-ascorbic acid trisodium salt (AAP) that catalyzes the ALP in pathogenic bacteria to generate ascorbic acid (AA), which is converted by the CuO NPs, with intrinsic ascorbate oxidase- and peroxidase-like activities, to produce ROS. Notably, the prodrug system selectively kills Escherichia coli (pathogenic bacteria), with minimal influence on Staphylococcus hominis (non-pathogenic bacteria) due to their different levels of ALP expression. Compared to the CuO NPs/AA system, which generally depletes ROS during storage, CuO NPs/AAP exhibits a significantly higher stability without affecting its antibacterial activity. Furthermore, a rat model is used to indicate the applicability of the CuO NPs/AAP fibrin gel in wound disinfection in vivo with negligible side effects. This study reveals the therapeutic precision of this bifunctional tandem nanozyme platform against pathogenic bacteria in ALP-activated conditions.

Navigating sexual minority identity in sport: a qualitative exploration of sexual minority student-athletes in China.

BACKGROUND: Sexual minority student-athletes (SMSAs) face discrimination and identity conflicts in intercollegiate sport, impacting their participation and mental health. This study explores the perceptions of Chinese SMSAs regarding their sexual minority identities, aiming to fill the current gap in research related to non-Western countries. METHODS: A qualitative methodology was adopted, utilising the Interpretive Phenomenological Analysis (IPA) approach with self-categorization theory as the theoretical framework. Participants were recruited through purposive and snowball sampling, and data were collected via semi-structured interviews, documents, and field notes. Sixteen former and current Chinese SMSAs participated in this study. RESULTS: The study reveals four themes: hidden truths, prioritisation of athlete identity, self-stereotyping, and attempt. The results revealed that while SMSAs were common in intercollegiate sport, their identities were often concealed and not openly discussed. The predominant focus on athlete identity in sport overshadowed their sexual minority identities. Additionally, SMSAs developed self-stereotypes that influenced their thoughts and behaviours. The non-heterosexual team atmosphere in women's teams led to the development of intimate relationships among teammates. CONCLUSIONS: The findings from this study could be incorporated into existing sport policies to ensure the safe participation of SMSAs in Chinese intercollegiate sports. This research offers valuable insights for the development and implementation of inclusive policies. Future research in China could investigate the attitudes of coaches and heterosexual student-athletes toward sexual minority identities to inform targeted interventions.

Insomnia mediates the relation between empathy and anxiety among nursing students: a latent moderated mediation model of self-compassion.

BACKGROUND: Nursing students are faced with multiple challenges and have a higher probability of suffering from anxiety. The current study aims to explore the relation between empathy and anxiety, examining the mediation and moderation effects of insomnia and self-compassion, respectively. METHODS: This study employed a convenient sampling method, recruiting 1,161 nursing students (female = 923, male = 238, Meanage = 18.37, SDage = 2.38) from three universities in China. These students completed the questionnaires online, including General Anxiety Disorder -7 (GAD-7), Jefferson Scale of Physician Empathy-Nursing student (JSPE-NS), Youth Self-rating Insomnia Scale -8 (YSIS-8), and Self-Compassion Scale (SCS). The study employed latent variable structural equation models to analyze the relation and mechanisms between empathy and anxiety. Then, the mediated role of insomnia and the moderated role of self-compassion were examined. RESULTS: The prevalence rates of anxiety and insomnia in the current sample are 18.24% and 26.76%, respectively. The results showed that empathy could negatively predict anxiety, with a significant mediating effect of insomnia between them (B = -0.081, p < 0.05, 95% CI [-0.197, -0.063]). Additionally, it was proven that self-compassion moderated the positive relation between insomnia and anxiety. With a higher level of self-compassion, the indirect effect of empathy on anxiety through insomnia was weaker (B = -0.053, p < 0.01, 95% CI [-0.095, -0.019]). When individuals showed a lower level of self-compassion, the indirect effect of empathy on anxiety through insomnia was stronger (B = -0.144, p < 0.01, 95% CI [-0.255, -0.059]). CONCLUSION: The analysis of this research proved that empathy was negatively related to anxiety, and insomnia served as a mediator between empathy and anxiety. Besides, the protective role of self-compassion on individuals' mental health was identified. The findings of the study suggest that the education of nursing students should highlight the significance of fostering empathy and self-compassion. The intervention on insomnia may be helpful in reducing the levels of anxiety since insomnia is a risky factor for anxiety.

Operando-reconstructed polyatomic ion layers boost the activity and stability of industrial current-density water splitting.

Metal-organic frameworks have garnered attention as highly efficient pre-electrocatalysts for the oxygen evolution reaction (OER). Current structure-activity relationships primarily rely on the assumption that the complete dissolution of organic ligands occurs during electrocatalysis. Herein, modeling based on NiFe Prussian blue analogs (NiFe-PBAs) show that cyanide ligands leach from the matrix and subsequently oxidize to corresponding inorganic ions (ammonium and carbonate) that re-adsorb onto the surface of NiFe OOH during the OER process. Interestingly, the surface-adsorbed inorganic ions induce the OER reaction of NiFe OOH to switch from the adsorbate evolution to the lattice-oxygen-mediated mechanism, thus contributing to the high activity. In addition, this reconstructed inorganic ion layer acting as a versatile protective layer can prevent the dissolution of metal sites to maintain contact between catalytic sites and reactive ions, thus breaking the activity-stability trade-off. Consequently, our constructed NiFe-PBAs exhibit excellent durability for 1250 h with an ultralow overpotential of 253 mV at 100 mA cm-2. The scale-up NiFe-PBAs operated with a low energy consumption of ∼4.18 kWh m-3 H2 in industrial water electrolysis equipment. The economic analysis of the entire life cycle demonstrates that this green hydrogen production is priced at US$2.59/ [Formula: see text] , meeting global targets (

ACSL3 regulates breast cancer progression via lipid metabolism reprogramming and the YES1/YAP axis.

OBJECTIVE: Mitochondrial fatty acid oxidation is a metabolic pathway whose dysregulation is recognized as a critical factor in various cancers, because it sustains cancer cell survival, proliferation, and metastasis. The acyl-CoA synthetase long-chain (ACSL) family is known to activate long-chain fatty acids, yet the specific role of ACSL3 in breast cancer has not been determined. METHODS: We assessed the prognostic value of ACSL3 in breast cancer by using data from tumor samples. Gain-of-function and loss-of-function assays were also conducted to determine the roles and downstream regulatory mechanisms of ACSL3 in vitro and in vivo. RESULTS: ACSL3 expression was notably downregulated in breast cancer tissues compared with normal tissues, and this phenotype correlated with improved survival outcomes. Functional experiments revealed that ACSL3 knockdown in breast cancer cells promoted cell proliferation, migration, and epithelial-mesenchymal transition. Mechanistically, ACSL3 was found to inhibit ß-oxidation and the formation of associated byproducts, thereby suppressing malignant behavior in breast cancer. Importantly, ACSL3 was found to interact with YES proto-oncogene 1, a member of the Src family of tyrosine kinases, and to suppress its activation through phosphorylation at Tyr419. The decrease in activated YES1 consequently inhibited YAP1 nuclear colocalization and transcriptional complex formation, and the expression of its downstream genes in breast cancer cell nuclei. CONCLUSIONS: ACSL3 suppresses breast cancer progression by impeding lipid metabolism reprogramming, and inhibiting malignant behaviors through phospho-YES1 mediated inhibition of YAP1 and its downstream pathways. These findings suggest that ACSL3 may serve as a potential biomarker and target for comprehensive therapeutic strategies for breast cancer.

Improving quantitative prediction of protein subcellular locations in fluorescence images through deep generative models.

Machine learning has been employed in recognizing protein localization at the subcellular level, which highly facilitates the protein function studies, especially for those multi-label proteins that localize in more than one organelle. However, existing works mostly study the qualitative classification of protein subcellular locations, ignoring fraction of one multi-label protein in different locations. Actually, about 50 % proteins are multi-label proteins, and the ignorance of quantitative information highly restricts the understanding of their spatial distribution and functional mechanism. One reason of the lack of quantitative study is the insufficiency of quantitative annotations. To address the data shortage problem, here we proposed a generative model, PLocGAN, which could generate cell images with conditional quantitative annotation of the fluorescence distribution. The model was a conditional generative adversarial network, in which the condition learning utilized partial label learning to overcome the lack of training labels and allowed training with only qualitative labels. Meanwhile, it used contrastive learning to enhance diversity of the generated images. We assessed the PLocGAN on four pixel-fused synthetic datasets and one real dataset, and demonstrated that the model could generate images with good fidelity and diversity, outperforming existing state-of-the-art generative methods. To verify the utility of PLocGAN in the quantitative prediction of protein subcellular locations, we replaced the training images with generated quantitative images and built prediction models, and found that they had a boosting effect on the quantitative estimation. This work demonstrates the effectiveness of deep generative models in bioimage analysis, and provides a new solution for quantitative subcellular proteomics.