Data_Sheet_1_Cuproptosis key gene FDX1 is a prognostic biomarker and associated with immune infiltration in glioma.CSV

Recent studies have found that the protein encoded by the FDX1 gene is involved in mediating Cuproptosis as a regulator of protein lipoylation and related to immune response process of tumors. However, the specific biological function of FDX1 in glioma is currently unclear. To explore the potential function of FDX1, this study explored the correlation between the expression of FDX1 in cancers and survival prognosis by analyzing the public databases of GEPIA and Cbioportal. Immune infiltration was analyzed by the TIMER2.0 database in tumors. The possible biological processes and functions of FDX1-related in glioma were annotated through gene enrichment. Relationship between Cuproptosis and autophagy was explored through gene co-expression studies. Summary and conclusions of this study: (1) FDX1 is highly expressed in gliomas and associated with poor prognosis in low-grade gliomas (LGG). (2) Gene annotation indicates that FDX1 is mainly involved in the tumor protein lipoylation and cell death. (3) FDX1 expression is positively correlated with the infiltration of immune cells. (4) LIPT2 and NNAT, two other genes involved in lipoylation, may be unidentified marker gene for Cuproptosis. And the Cuproptosis genes related to FDX1 were positively correlated with the expression of autophagy marker genes Atg5, Atg12, and BECN-1. This evidence suggests that there may be some interaction between FDX1 mediated Cuproptosis and autophagy. In summary, FDX1 may serve as a potential immunotherapy target and prognostic marker for Glioma.</p

Data_Sheet_2_Cuproptosis key gene FDX1 is a prognostic biomarker and associated with immune infiltration in glioma.CSV

Recent studies have found that the protein encoded by the FDX1 gene is involved in mediating Cuproptosis as a regulator of protein lipoylation and related to immune response process of tumors. However, the specific biological function of FDX1 in glioma is currently unclear. To explore the potential function of FDX1, this study explored the correlation between the expression of FDX1 in cancers and survival prognosis by analyzing the public databases of GEPIA and Cbioportal. Immune infiltration was analyzed by the TIMER2.0 database in tumors. The possible biological processes and functions of FDX1-related in glioma were annotated through gene enrichment. Relationship between Cuproptosis and autophagy was explored through gene co-expression studies. Summary and conclusions of this study: (1) FDX1 is highly expressed in gliomas and associated with poor prognosis in low-grade gliomas (LGG). (2) Gene annotation indicates that FDX1 is mainly involved in the tumor protein lipoylation and cell death. (3) FDX1 expression is positively correlated with the infiltration of immune cells. (4) LIPT2 and NNAT, two other genes involved in lipoylation, may be unidentified marker gene for Cuproptosis. And the Cuproptosis genes related to FDX1 were positively correlated with the expression of autophagy marker genes Atg5, Atg12, and BECN-1. This evidence suggests that there may be some interaction between FDX1 mediated Cuproptosis and autophagy. In summary, FDX1 may serve as a potential immunotherapy target and prognostic marker for Glioma.</p

Martin Heidegger 1889-1976

Lipid classes of LDL from euthyroid subjects and mild and significant SCH patients. (DOC 46 kb

Surface Modification of Silicon Nanowires with Siloxane Molecules for High-Performance Hydrovoltaic Devices

Hydrovoltaic devices (HDs) based on silicon nanowires (SiNWs) have attracted significant attention due to their potential of high output power and good compatibility with Si-based photovoltaic devices for integrated power systems. However, it remains a major challenge to further improve the output performance of SiNW HDs for practical applications. Here, a new strategy to modify the surface of SiNWs with siloxane molecules is proposed to improve the output performance of the SiNW HDs. After modification, both the open-circuit voltage (Voc) and short-circuit current density (Jsc) of n-type SiNW HDs can be improved by approximately 30%, while the output power density can be greatly increased by over 200%. With siloxane modification, Si–OH groups on the surface of typical SiNWs are replaced by Si–O–Si chemical bonds that have a weaker electron-withdrawing capability. More free electrons in n-type SiNWs are liberated from surface bound states and participate in directed flow induced by water evaporation, thereby improving the output performance of HDs. The improved performance is significant for system integration applications as it reduces the number of required devices. Three siloxane-modified SiNW HDs in series are able to drive a 2 V light-emitting diode (LED), whereas four unmodified devices in series are initially needed for the same task. This work provides a simple yet effective strategy for surface modification to improve the output performance of SiNW HDs. Further research into the effect of different surface modifications on the performance of SiNW HDs will greatly promote their performance enhancement and practical applications

Additional file 2: Figure S1. of LDL in patients with subclinical hypothyroidism shows increased lipid peroxidation

Compare of 9- and 13- HODE in plasma and LDL in the normal and thickened intima groups respectively. A and B: Compared of 9- and 13-HODE levels in plasma in the normal (n = 16) and thickened intima (n = 14) groups; C and D: Compared of 9- and 13-HODE levels in LDL in the normal (n = 16) and thickened intima (n = 14) groups. Abbreviation: HODE, hydroxy-octadecadienoic acid; IMT, carotid intima-media thickness. (TIFF 420 kb

Additional file 5: Figure S4. of LDL in patients with subclinical hypothyroidism shows increased lipid peroxidation

FPLC elution profiles for a representative plasma sample from a hypercholesterolemic complicated with hypertriglyceridemic individual. A: The elution volume, in milliliters, is represented on the χ-axis and the UV absorbance units (mAU), measured at 280 nm, are represented by the y-axis. B: The elution volume, in milliliters, is represented on the χ-axis and the concentrations of TC and TG are represented by the y-axis. The elution volume for VLDL ranges from 7 to 9 ml, from 9 to 13 ml for LDL, and from 13 ml to 17.5 ml for HDL. (TIFF 563 kb

Additional file 1: Table S1. of Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value

ATP III classification of total, LDL, HDL cholesterol and triglycerides (mmol/L). Table S2. Mean (95 % Confidence Interval) of serum total cholesterol, HDL cholesterol, LDL cholesterol, and triglyceride levels in the overall participants. Table S3. The proportions (95 % Confidence Interval) of four dyslipidemia phenotypes according to gender, age, BMI and fasting glucose. Table S4. Multivariable Analyses of the Risk for Development of Lipid-related Diseases in Subjects with Different Dyslipidemia Phenotypes. (PDF 88 kb