Intensities of the hydrogen Balmer lines of solar-like stars revealed by the LAMOST spectroscopic surveys.

The intensities of the hydrogen Balmer lines of solar-like stars are investigated for stellar chromospheric activity by using the co-source spectral data of the LAMOST Low-Resolution Spectroscopic Survey (LRS) and Medium-Resolution Spectroscopic Survey (MRS). The Balmer H α , H ß , H γ , and H δ lines in the LRS data and the H α line in the MRS data are analyzed. The absolute flux indexes, defined as the ratios of the absolute fluxes at the centers of the Balmer lines to the stellar bolometric flux, are employed to indicate the intensity magnitudes of the Balmer lines in response to stellar activity. The H α indexes derived from the LRS data and the MRS data, respectively, are calibrated to be quantitatively consistent with each other. It is found that, as the H α index increases, the H ß , H γ , and H δ indexes first present trend of increasing and then decreasing, and finally increase synchronously with the H α index. The distributions of the Balmer line indexes also reveal the three distinct stages of stellar activity (normal stage, intense stage, and extremely intense stage), in which the extremely intense stage is characterized by the synchronous growth of the indexes of the four Balmer lines. The different behaviors of the H ß , H γ , and H δ lines from that of the H α line can be interpreted by the different mechanisms by which the line-core intensities are formed, and the three distinct activity stages imply the very different magnetic field environments and physical conditions of solar-like stars.

Integrating plasma exosomal miRNAs, ultrasound radiomics and tPSA for the diagnosis and prediction of early prostate cancer: a multi-center study.

INTRODUCTION: This multi-center study aims to explore the roles of plasma exosomal microRNAs (miRNAs), ultrasound (US) radiomics, and total prostate-specific antigen (tPSA) levels in early prostate cancer detection. METHODS: We analyzed the publicly available dataset GSE112264 to identify the differentially expressed miRNAs associated with prostate cancer. Then, PyRadiomics was used to extract image features, and least absolute shrinkage and selection operator (LASSO) was used to screen the data. Subsequently, according to strict inclusion and exclusion criteria, the internal dataset (n = 199) was used to construct a diagnostic model, and the receiver operating characteristic (ROC) curve, calibration curve, decision curve analysis (DCA), and DeLong test were used to evaluate its diagnostic performance. Finally, we used an external dataset (n = 158) for further validation. RESULTS: The number of features extracted by PyRadiomics was 851, and the number of features screened by LASSO was 23. We combined the hsa-miR-320c, hsa-miR-944, radiomics, and tPSA features to construct a joint model. The area under the ROC curve of the combined model was 0.935. In the internal validation, the area under the curve (AUC) of the training set was 0.943, and the AUC of the test set was 0.946. The AUC of the external data set was 0.910. The calibration curve and decision curve were consistent with the performance of the combined model. There was a significant difference in the prediction ability between the combined prediction model and the single index prediction model, indicating the high credibility and accuracy of the combined model in predicting PCa. CONCLUSIONS: The combined prediction model, consisting of plasma exosomal miRNAs (hsa-miR-320c and hsa-miR-944), US radiomics, and clinical tPSA, can be utilized for the early diagnosis of prostate cancer.

High expression of RUNX1 in colorectal cancer subtype accelerates malignancy by inhibiting HMGCR.

Colorectal cancer (CRC) presents a complex landscape, characterized by both inter-tumor and intra-tumor heterogeneity. RUNX1, a gene implicated in modulating tumor cell growth, survival, and differentiation, remains incompletely understood regarding its impact on CRC prognosis. In our investigation, we discerned a positive correlation between elevated RUNX1 expression and aggressive phenotypes across various CRC subtypes. Notably, knockdown of RUNX1 demonstrated efficacy in restraining CRC proliferation both in vitro and in vivo, primarily through inducing apoptosis and impeding cell proliferation. Mechanistically, we unveiled a direct regulatory link between RUNX1 and cholesterol synthesis, mediated by its control over HMGCR expression. Knockdown of RUNX1 in CRC cells triggered HMGCR transcriptional activation, culminating in elevated cholesterol levels that subsequently hindered cancer progression. Clinically, heightened RUNX1 expression emerged as a prognostic marker for adverse outcomes in CRC patients. Our findings underscore the pivotal involvement of RUNX1 in CRC advancement and its potential as a therapeutic target. The unique influence of RUNX1 on cholesterol synthesis and HMGCR transcriptional regulation uncovers a novel pathway contributing to CRC progression.

Corrigendum: Ultrasound-based radiomics analysis for differentiating benign and malignant breast lesions: from static images to CEUS video analysis.

[This corrects the article DOI: 10.3389/fonc.2022.951973.].

Catalysts with Trimetallic Sites on Graphene-like C2N for Electrocatalytic Nitrogen Reduction Reaction: A Theoretical Investigation.

Electrocatalytic nitrogen reduction reaction (NRR) is a green and highly efficient way to replace the industrial Haber-Bosch process. Herein, clusters consisting of three transition metal atoms loaded on C2N as NRR electrocatalysts are investigated using density functional theory (DFT). Meanwhile, Ca was introduced as a promoter and the role of Ca in NRR was investigated. It was found that Ca anchored to the catalyst can act as an electron donor and effectively promote the activation of N2 on M3. In both M3@C2N and M3Ca@C2N (M=Fe, Co, Ni), the limiting potential (UL) is less negative than that of the Ru(0001) surface and has the ability to suppress the competitive hydrogen evolution reaction (HER). Among them, Fe3@C2N is suggested to be the most promising candidate for NRR with high thermal stability, strong N2 adsorption ability, low limiting potential, and good NRR selectivity. The concepts of trimetallic sites and alkaline earth metal promoters in this work provide theoretical guidance for the rational design of atomically active sites in electrocatalytic NRR.

Transcriptome, Plant Hormone, and Metabolome Analysis Reveals the Mechanism of Purple Pericarp Formation in 'Zihui' Papaya (Carica papaya L.).

The color of the pericarp is a crucial characteristic that influences the marketability of papaya fruit. Prior to ripening, normal papaya exhibits a green pericarp, whereas the cultivar 'Zihui' displays purple ring spots on the fruit tip, which significantly affects the fruit's visual appeal. To understand the mechanism behind the formation of purple pericarp, this study performed a thorough examination of the transcriptome, plant hormone, and metabolome. Based on the UPLC-ESI-MS/MS system, a total of 35 anthocyanins and 11 plant hormones were identified, with 27 anthocyanins and two plant hormones exhibiting higher levels of abundance in the purple pericarp. In the purple pericarp, 14 anthocyanin synthesis genes were up-regulated, including CHS, CHI, F3H, F3'5'H, F3'H, ANS, OMT, and CYP73A. Additionally, through co-expression network analysis, three MYBs were identified as potential key regulators of anthocyanin synthesis by controlling genes encoding anthocyanin biosynthesis. As a result, we have identified numerous key genes involved in anthocyanin synthesis and developed new insights into how the purple pericarp of papaya is formed.

Opioid use in cancer patients compared with noncancer pain patients in a veteran population.

BACKGROUND: Opioid safety initiatives may secondarily impact opioid prescribing and pain outcomes for cancer care. METHODS: We reviewed electronic health record data at a tertiary Veterans Affairs system (VA Palo Alto) for all patients from 2015 to 2021. We collected outpatient Schedule II opioid prescriptions data and calculated morphine milligram equivalents (MMEs) using Centers for Disease Control and Prevention conversion formulas. To determine the clinical impact of changes in opioid prescription, we used the highest level of pain reported by each patient on the 0-to-10 Numeric Rating Scale in each year, categorized into mild (0-3), moderate (4-6), and severe (7 and above). RESULTS: Among 89 569 patients, 9073 had a cancer diagnosis. Cancer patients were almost twice as likely to have an opioid prescription compared with noncancer patients (69.0% vs 36.7%, respectively). The proportion of patients who received an opioid prescription decreased from 27.1% to 18.1% (trend P < .01) in cancer patients and from 17.0% to 10.2% in noncancer patients (trend P < .01). Cancer and noncancer patients had similar declines of MMEs per year between 2015 and 2019, but the decline was more rapid for cancer patients (1462.5 to 946.4, 35.3%) compared with noncancer patients (1315.6 to 927.7, 29.5%) from 2019 to 2021. During the study period, the proportion of noncancer patients who experienced severe pain was almost unchanged, whereas it increased among cancer patients, reaching a significantly higher rate than among noncancer patients in 2021 (31.9% vs 27.4%, P < .01). CONCLUSIONS: Our findings suggest potential unintended consequences for cancer care because of efforts to manage opioid-related risks.

Impact of measurable residual disease in combination with CD19 on postremission therapy choices for adult t(8;21) acute myeloid leukemia in first complete remission.

BACKGROUND: The post-remission therapy (PRT) choices for adult t(8;21) acute myeloid leukemia (AML) in first complete remission (CR1) need to be further explored. AIMS: We aimed to investigate the impact of measurable residual disease (MRD) combined with CD19 on PRT choices for adult t(8;21) AML in CR1. METHODS: A total of 150 t(8;21) AML patients were enrolled, including 67 underwent chemotherapy (CMT) and 83 allogeneic hematopoietic stem cell transplantation (allo-SCT) as PRT in CR1. Subgroup analyses were performed according to MRD level after three cycles of chemotherapy combined with CD19 expression. RESULTS: Multivariate analysis indicated MRDhigh after three courses of treatment (HR, 0.14 [95% CI, 0.03-0.66]; p = 0.013) and CD19 negativity (HR, 0.14 [95% CI, 0.02-0.96]; p = 0.045) were risk factors for relapse, while allo-SCT was protective factor for relapse (HR, 0.34 [95% CI, 0.15-0.75]; p = 0.008). Grouped by MRD after three courses of chemotherapy, allo-SCT had lower CIR (p < 0.001) and better OS (p = 0.003) than CMT for MRDhigh patients, CMT showed a higher CIR (35.99% vs. 15.34%, p = 0.100) but comparable OS (p = 0.588) than allo-SCT for MRDlow patients. Grouped by CD19 expression, allo-SCT demonstrated lower CIR (p < 0.001) and better OS (p = 0.002) than CMT for CD19- patients. CMT had a higher CIR (41.37% vs. 10.48%, p = 0.007) but comparable OS (p = 0.147) than allo-SCT for CD19+ patients. Grouped by MRD combined with CD19, MRDhigh /CD19+ subsets were identified out of CD19+ patients benefiting from allo-SCT with lower CIR (p = 0.002) and superior OS (p = 0.020) than CMT. CMT preserved comparable CIR (p = 0.939) and OS (p = 0.658) with allo-SCT for MRDlow /CD19+ patients. MRDlow /CD19- subsets were also identified from MRDlow patients requiring allo-SCT with lower CIR (p < 0.001) and superior OS (p = 0.008) than CMT. Allo-SCT maintained lower CIR (p < 0.001) and superior OS (p = 0.008) than CMT for MRDhigh /CD19- patients. CONCLUSIONS: MRD combined with CD19 might optimize PRT choices for adult t(8;21) AML patients in CR1.

[Optimization of production-living-ecology spatial pattern in Dongting Lake Ecological Economic Zone based on comprehensive benefits of development and protection]. / 基于开发保护综合效益的洞庭湖生态经济区"三生空间"æ ¼å±€ä¼˜åŒ–.

The optimization of production-living-ecology (PLE) space is an important basis for promoting regional high-quality development. Taking the Dongting Lake Eco-economic Zone as an example, from the perspective of improving the comprehensive benefits of the development and protection of the PLE space, we coupled the GMOP-FLUS model, and proposed an optimization method combining the scenario configuration and the bottom line protection of the PLE space. We compared the three optimization scenarios (economic optimization scenario, ecological optimization scenario, and multi-objective optimization scenario), and coordinated the conflict areas of two lines to clarify the comprehensive optimization scheme of the PLE space in the Dongting Lake Eco-economic Zone. The results showed the characteristics of increasing production space and living space and decreasing ecological space from 2010 to 2020, resulting in the partial loss of land ecological and environmental benefits. Under the economic optimization scenario, the ecological optimization scenario promoted the rapid growth of regional economy but damaged regional ecological security. The ecological optimization scenario inhibited regional economic development. The multi-objective optimization scenario led to improvement of economic and ecological benefits of the PLE space, which increased by 2.0% and 1.3%, respectively. The multi-objective optimization scenario was the best optimization scenario among the three scenarios. By superimposing the best scenario and the two-line conflict regional coordination results, we obtained the comprehensive optimization scheme for 2030. The production space, living space, and ecological space areas of the scheme were 25777.18, 2062.94, and 32552.68 km2, respectively. Based on the natural and social conditions, combining the comprehensive optimization scheme, we put forward different control suggestions for each type of PLE space. Our results could provide reference for the rational formulation of territorial spatial planning and the formulation of policies for the coordinated development of ecological environment and social economy in the Dongting Lake Eco-economic Zone.

Stem cell factor protects against chronic ischemic retinal injury by modulating on neurovascular unit.

Retinal ischemia is a significant factor in various vision-threatening diseases, but effective treatments are currently lacking. This study explores the potential of stem cell factor (SCF) in regulating the neurovascular unit as a therapeutic intervention for retinal ischemic diseases. A chronic retinal ischemia model was established in Brown Norway rats using bilateral common carotid artery occlusion (BCCAO). Subsequent SCF treatment resulted in a remarkable recovery of retinal function, as indicated by electroretinogram, light/dark transition test, and optokinetic head tracking test results. Histological examination demonstrated a significant increase in the number of retinal neurons and an overall thickening of the retina. Immunofluorescence confirmed these findings and further demonstrated that SCF treatment regulated retinal remodeling. Notably, SCF treatment ameliorated the disrupted expression of synaptic markers in the control group's BCCAO rats and suppressed the activation of Müller cells and microglia. Retinal whole-mount analysis revealed a significant improvement in the abnormalities in retinal vasculature following SCF treatment. Transcriptome sequencing analysis revealed that SCF-induced transcriptome changes were closely linked to the Wnt7 pathway. Key members of the Wnt7 pathway, exhibited significant upregulation following SCF treatment. These results underscore the protective role of SCF in the neurovascular unit of retinal ischemia rats by modulating the Wnt7 pathway. SCF administration emerges as a promising therapeutic strategy for retinal ischemia-related diseases, offering potential avenues for future clinical interventions.

Blood Lipid Metabolic Profiles and Causal Links to Site-Specific Cancer Risks: A Mendelian Randomization Study.

Observational and Mendelian randomization (MR) studies have established links between dyslipidemia and select cancer susceptibilities. However, there is a lack of comprehensive exploration of causal relationships spanning diverse cancer types. Here, we conducted a two-sample MR analysis to elucidate the causative connections between 9 blood lipid metabolic profiles (namely, adiponectin, leptin, lipoprotein A, apolipoprotein A1, apolipoprotein B, cholesterol, triglycerides, LDL-cholesterol, and HDL-cholesterol) and 21 site-specific cancer risks. Our findings reveal genetically predicted adiponectin levels to be associated with a reduced ovarian cancer risk, while genetically determined leptin increases bladder cancer risk but decreases prostate cancer risk. Lipoprotein A elevates risk of prostate cancer while diminishing risk of endometrial cancer, while apolipoprotein A1 heightens risks of breast and cervical cancers. Furthermore, elevated levels of cholesterol are positively correlated with kidney cancer, and triglycerides demonstrate a positive association with non-melanoma skin cancer but a negative association with breast cancer. Protective effects of genetically predicted LDL-cholesterol on endometrial cancer and adverse effects of HDL-cholesterol on breast cancer are also observed. Our study conclusively establishes that blood lipid metabolic profiles exert causal effects on cancer susceptibility, providing more robust evidence for cancer prevention and prompting contemplation regarding the future health of the human populace.

Sstr2 Defines the Cone Differentiation-Competent Late-Stage Retinal Progenitor Cells in the Developing Mouse Retina.

Cone cell death is a characteristic shared by various retinal degenerative disorders, such as cone-rod dystrophy, Stargardt disease, achromatopsia, and retinitis pigmentosa. This leads to conditions like color blindness and permanently impaired visual acuity. Stem cell therapy focused on photoreceptor replacement holds promise for addressing these conditions. However, identifying surface markers that aid in enriching retinal progenitor cells (RPCs) capable of differentiating into cones remains a complex task. In this study, we employed single-cell RNA sequencing to scrutinize the transcriptome of developing retinas in C57BL/6J mice. This revealed the distinctive expression of somatostatin receptor 2 (Sstr2), a surface protein, in late-stage RPCs exhibiting the potential for photoreceptor differentiation. In vivo lineage tracing experiments verified that Sstr2+ cells within the late embryonic retina gave rise to cones, amacrine and horizontal cells during the developmental process. Furthermore, Sstr2+ cells that were isolated from the late embryonic mouse retina displayed RPC markers and exhibited the capability to differentiate into cones in vitro. Upon subretinal transplantation into both wild-type and retinal degeneration 10 (rd10) mice, Sstr2+ cells survived and expressed cone-specific markers. This study underscores the ability of Sstr2 to enrich late-stage RPCs primed for cone differentiation to a large extent. It proposes the utility of Sstr2 as a biomarker for RPCs capable of generating cones for transplantation purposes.

Prognostic significance of Dickkopf-1 in head and neck squamous cell carcinoma.

BACKGROUND: Dickkopf-1 (DKK1) exhibits abnormal expression in various cancers and correlates with poor prognosis. This study investigates DKK1's prognostic relevance in head and neck squamous cell carcinoma (HNSC). METHODS: We conducted a comprehensive search across literature and sequencing databases to gather eligible studies and HNSC datasets. We calculated pooled standardized mean differences (SMD) and 95% confidence intervals (CI) for clinical characteristics, as well as hazard ratios (HR) with 95% CIs for overall survival (OS) and progression-free/disease-free survival (PFS/DFS). Sensitivity analysis gauged result stability, and Egger's test assessed publication bias. RESULTS: Pooled results indicated that HNSC patients with higher T-stage exhibited elevated DKK1 expression levels, and this elevated expression was associated with shorter OS and PFS/DFS. While sensitivity analysis identified some studies significantly affecting pooled results, most were unaffected, and no publication bias was detected. CONCLUSION: DKK1 holds promise as a potential biomarker for predicting poor prognosis in HNSC patients, but further research is needed for confirmation.

Divergent molecular events underlying initial T-cell commitment in human prenatal and postnatal thymus.

Introduction: Intrathymic T-cell development is a coordinated process accompanied by dynamic changes in gene expression. Although the transcriptome characteristics of developing T cells in both human fetal and postnatal thymus at single-cell resolution have been revealed recently, the differences between human prenatal and postnatal thymocytes regarding the ontogeny and early events of T-cell development still remain obscure. Moreover, the transcriptional heterogeneity and posttranscriptional gene expression regulation such as alternative polyadenylation at different stages are also unknown. Method: In this study, we performed integrative single-cell analyses of thymocytes at distinct developmental stages. Results: The subsets of prenatal CD4-CD8- double-negative (DN) cells, the most immature thymocytes responsible for T-cell lineage commitment, were characterized. By comprehensively comparing prenatal and postnatal DN cells, we revealed significant differences in some key gene expressions. Specifically, prenatal DN subpopulations exhibited distinct biological processes and markedly activated several metabolic programs that may be coordinated to meet the required bioenergetic demands. Although showing similar gene expression patterns along the developmental path, prenatal and postnatal thymocytes were remarkably varied regarding the expression dynamics of some pivotal genes for cell cycle, metabolism, signaling pathway, thymus homing, and T-cell commitment. Finally, we quantified the transcriptome-wide changes in alternative polyadenylation across T-cell development and found diverse preferences of polyadenylation site usage in divergent populations along the T-cell commitment trajectory. Discussion: In summary, our results revealed transcriptional heterogeneity and a dynamic landscape of alternative polyadenylation during T-cell development in both human prenatal and postnatal thymus, providing a comprehensive resource for understanding T lymphopoiesis in human thymus.

A hydrogen-deuterium exchange mass spectrometry-based protocol for protein-small molecule interaction analysis.

Protein-small molecule interaction is vital in regulating protein functions and controlling various cellular processes. Hydrogen deuterium exchange mass spectrometry (HDX-MS) is a powerful methodology to study protein-small molecule interactions, however, to accurately probe the conformational dynamics of the protein upon small molecule binding, the HDX-MS experimental conditions should be carefully controlled and optimized. Here, we present the detailed continuous-labeling, bottom-up HDX-MS protocol for studying protein-small molecule interactions. We took a side-by-side HDX kinetics comparison of the Hsp90N protein with or without the treatment of small molecules (i.e., Radicicol, Geldanamycin) for displaying conformational changes induced by molecular interactions between Hsp90N and small molecules. Our sensitive and robust experimental protocol can facilitate the novice to quickly carry out the structural characterization of protein-small molecule interactions.

The importance of BUD13 in the prognosis of hepatocellular carcinoma revealed by pan-cancer analysis.

RNA splicing is an essential process involved in many aspects of cell proliferation, survival and differentiation, and given the importance of RNA splicing in gene regulation, alterations in this biological behavior have been associated with many human cancers. BUD13 as an RNA binding protein (RBP) has been sparsely studied in tumors; consequently, there is a compelling need to further investigate the expression profile of BUD13 in human cancers to provide new molecular clues for the pathogenesis of hepatocellular carcinoma. For this porpuse, we used a series of bioinformatics methods to synthesize the relationship between BUD13 and prognosis, tumor microenvironment (TME), immune infiltration, tumor mutational load (TMB), and microsatellite instability (MSI), and tried to find the potential biological processes of BUD13 in tumors by GSEA and GSVA. And the association between the expression of BUD13 gene and prognosis was predicted by constructing a nomogram of hepatocellular carcinoma by multifactorial regression model. Results showed tgat in the present study, we found that elevated expression of BUD13 is associated with poorer OS in a numerous cancers, including ACC, KIRC, LGG, LIHC, READ, THYM, and UCS.More importantly, BUD13 expression levels were also significantly correlated with TME. Our results also indicated that BUD13 expression was closely associated with Pyroptosis genes and immune-related genes. Furthermore, BUD13 expression was associated with TMB, MSI and antitumor drug sensitivity in various cancer types. Functional bioinformatics analysis indicated that BUD13 may be involved in multiple signaling pathways and biological processes in hepatocellular carcinoma. Based on BUD13 expression, a risk factor model was found to predict OS in hepatocellular carcinoma. In conclusion, overall this study suggests that BUD13 expression is associated with poor prognosis and may be involved in the development and progression of hepatocellular carcinoma, which may be further explored as a potential prognostic marker and new targeted therapy.

Bioactive diterpenoids isolated from the twigs and leaves of Casearia velutina.

Nine previously undescribed clerodane-type diterpenoids (1-9), named caseabalanspenes A-I, along with six know compounds (10-15), were isolated from the twigs and leaves of Casearia velutina. Spectroscopic data (1D and 2D NMR) analysis permitted the definition of their structures and then determination of the molecular formula of the compound by high resolution mass spectrometry (HR-ESI-MS). It is worth noting that compound 7 contains N- heterocycle. Compounds 1-8 were tested the anti-inflammasome activity, and compound 3 exhibited potent activity and decreased LDH level in a dose-dependent manner, with IC50 values of 2.90 µM.

Nonenveloped Avian Reoviruses Released with Small Extracellular Vesicles Are Highly Infectious.

Vesicle-encapsulated nonenveloped viruses are a recently recognized alternate form of nonenveloped viruses that can avoid immune detection and potentially increase systemic transmission. Avian orthoreoviruses (ARVs) are the leading cause of various disease conditions among birds and poultry. However, whether ARVs use cellular vesicle trafficking routes for egress and cell-to-cell transmission is still poorly understood. We demonstrated that fusogenic ARV-infected quail cells generated small (~100 nm diameter) extracellular vesicles (EVs) that contained electron-dense material when observed by transmission electron microscope. Cryo-EM tomography indicated that these vesicles did not contain ARV virions or core particles, but the EV fractions of OptiPrep gradients did contain a small percent of the ARV virions released from cells. Western blotting of detergent-treated EVs revealed that soluble virus proteins and the fusogenic p10 FAST protein were contained within the EVs. Notably, virus particles mixed with the EVs were up to 50 times more infectious than virions alone. These results suggest that EVs and perhaps fusogenic FAST-EVs could contribute to ARV virulence.