Development of protective fabric systems with spacer fabric and performance evaluation upon hot pressurized steam.

Developing new fabric systems with excellent thermal protective performance is essential to protecting workers from hot pressurized steam hazards. In this study, a laminated fabric was selected and a weft-knitted spacer fabric was developed for steam protective fabric systems. Effects of the configuration of the fabric systems and heat setting of spacer fabric on performances were investigated. The results demonstrate that the developed spacer fabric significantly prolonged skin burn times compared with controls. However, heat setting of spacer fabric had a negligible effect on improving thermal protective performance. Spacer fabric provided superior thermal protection while ensuring thermal comfort and enhancing air permeability, especially for spacer fabric after heat setting. Generally, a fabric system composed of a laminated outer shell and a spacer fabric is the best choice for steam protective clothing. The findings help develop a novel thermal liner to decrease energy transfer and provide better protection from pressurized steam.

The association between vascular access satisfaction and all-cause mortality in maintenance hemodialysis patients.

BACKGROUND: The mortality is significantly higher in patients undergoing maintenance hemodialysis (MHD) than in the general population. It is well-known that vascular access (VA) is critical for MHD patients. But the association between VA satisfaction and all-cause mortality in MHD patients is still not clear. The aim of this study was to explore the relationship between VA satisfaction and all-cause mortality in MHD patients with a 30-month follow-up. METHODS: Two hundred twenty-nine MHD patients in two dialysis centers were enrolled in this observational prospective study. VA satisfaction was assessed using the Short Form Vascular Access Questionnaire (VAQ). Health-related quality of life (HRQoL) score was calculated with Short Form 36 (SF-36) questionnaire. Multiple logistic regression analysis was used to evaluate the influencing factors of all-cause mortality. RESULTS: During the 30-month follow-up period, 35 patients dropped out of the study. Among them, 31 patients died, and 4 patients stopped MHD treatment after renal transplantation. Multivariable analyses showed that the age, VAQ total score, social functioning score and dialysis-related complication score of the VAQ, the total score and MCS of the SF-36 were factors influencing all-cause mortality in MHD patients. The Kaplan-Meier curve further showed that the cumulative survival probability was significantly higher in the MHD patients with VAQ scores <7 at baseline than in patients with VAQ scores ⩾7 (p = 0.031). INCLUSION: The present study showed that VA satisfaction was significantly associated with all-cause mortality in MHD patients. These findings suggest that a holistic approach is required for VA choice.

Inhibition of pseudorabies virus replication via upregulated interferon response by targeting 7-dehydrocholesterol reductase.

Pseudorabies virus (PRV) is an alpha-herpesvirus capable of infecting a range of animal species, particularly its natural host, pigs, resulting in substantial economic losses for the swine industry. Recent research has shed light on the significant role of cholesterol metabolism in the replication of various viruses. However, the specific role of cholesterol metabolism in PRV infection remains unknown. Here, we demonstrated that the expression of 7-dehydrocholesterol reductase (DHCR7) is upregulated following PRV infection, as evidenced by the proteomic analysis. Subsequently, we showed that DHCR7 plays a crucial role in promoting PRV replication by converting 7-dehydrocholesterol (7-DHC) into cholesterol, leading to increased cellular cholesterol levels. Importantly, DHCR7 inhibits the phosphorylation of interferon regulatory factor 3 (IRF3), resulting in reduced levels of interferon-beta (IFN-ß) and interferon-stimulated genes (ISGs). Finally, we revealed that the DHCR7 inhibitor, trans-1,4-bis(2-chlorobenzylaminomethyl) cyclohexane dihydrochloride (AY9944), significantly suppresses PRV replication both in vitro and in vivo. Taken together, the study has established a connection between cholesterol metabolism and PRV replication, offering novel insights that may guide future approaches to the prevention and treatment of PRV infections.

Tegument protein UL21 of alpha-herpesvirus inhibits the innate immunity by triggering CGAS degradation through TOLLIP-mediated selective autophagy.

Alpha-herpesvirus causes lifelong infections and serious diseases in a wide range of hosts and has developed multiple strategies to counteract the host defense. Here, we demonstrate that the tegument protein UL21 (unique long region 21) in pseudorabies virus (PRV) dampens type I interferon signaling by triggering the degradation of CGAS (cyclic GMP-AMP synthase) through the macroautophagy/autophagy-lysosome pathway. Mechanistically, the UL21 protein scaffolds the E3 ligase UBE3C (ubiquitin protein ligase E3C) to catalyze the K27-linked ubiquitination of CGAS at Lys384, which is recognized by the cargo receptor TOLLIP (toll interacting protein) and degraded in the lysosome. Additionally, we show that the N terminus of UL21 in PRV is dominant in destabilizing CGAS-mediated innate immunity. Moreover, viral tegument protein UL21 in herpes simplex virus type 1 (HSV-1) also displays the conserved inhibitory mechanisms. Furthermore, by using PRV, we demonstrate the roles of UL21 in degrading CGAS to promote viral infection in vivo. Altogether, these findings describe a distinct pathway where alpha-herpesvirus exploits TOLLIP-mediated selective autophagy to evade host antiviral immunity, highlighting a new interface of interplay between the host and DNA virus.Abbreviations: 3-MA: 3-methyladenine; ACTB: actin beta; AHV-1: anatid herpesvirus 1; ATG7: autophagy related 7; ATG13: autophagy related 13; ATG101: autophagy related 101; BHV-1: bovine alphaherpesvirus 1; BNIP3L/Nix: BCL2 interacting protein 3 like; CALCOCO2/NDP52: calcium binding and coiled-coil domain 2; CCDC50: coiled-coil domain containing 50; CCT2: chaperonin containing TCP1 subunit 2; CGAS: cyclic GMP-AMP synthase; CHV-2: cercopithecine herpesvirus 2; co-IP: co-immunoprecipitation; CQ: chloroquine; CRISPR: clustered regulatory interspaced short palindromic repeat; Cas9: CRISPR-associated system 9; CTD: C-terminal domain; Ctrl: control; DAPI: 4',6-diamidino-2-phenylindole; DBD: N-terminal DNA binding domain; DMSO: dimethyl sulfoxide; DYNLRB1: dynein light chain roadblock-type 1; EHV-1: equine herpesvirus 1; gB: glycoprotein B; GFP: green fluorescent protein; H&E: hematoxylin and eosin; HSV-1: herpes simplex virus 1; HSV-2: herpes simplex virus 2; IB: immunoblotting; IRF3: interferon regulatory factor 3; lenti: lentivirus; MAP1LC3/LC3: microtubule associated protein 1 light chain 3; MARCHF9: membrane associated ring-CH-type finger 9; MG132: cbz-leu-leu-leucinal; NBR1: NBR1 autophagy cargo receptor; NC: negative control; NEDD4L: NEDD4 like E3 ubiquitin protein ligase; NH4Cl: ammonium chloride; OPTN: optineurin; p-: phosphorylated; PFU: plaque-forming unit; Poly(dA:dT): Poly(deoxyadenylic-deoxythymidylic) acid; PPP1: protein phosphatase 1; PRV: pseudorabies virus; RB1CC1/FIP200: RB1 inducible coiled-coil 1; RNF126: ring finger protein 126; RT-PCR: real-time polymerase chain reaction; sgRNA: single guide RNA; siRNA: small interfering RNA; SQSTM1/p62: sequestosome 1; STING1: stimulator of interferon response cGAMP interactor 1; TBK1: TANK binding kinase 1; TOLLIP: toll interacting protein; TRIM33: tripartite motif containing 33; UL16: unique long region 16; UL21: unique long region 21; UL54: unique long region 54; Ub: ubiquitin; UBE3C: ubiquitin protein ligase E3C; ULK1: unc-51 like autophagy activating kinase 1; Vec: vector; VSV: vesicular stomatitis virus; VZV: varicella-zoster virus; WCL: whole-cell lysate; WT: wild-type; Z-VAD: carbobenzoxy-valyl-alanyl-aspartyl-[O-methyl]-fluoromethylketone.

The association between vascular access satisfaction and quality of life and depression in maintained hemodialysis patients.

BACKGROUND: Vascular access (VA) is known to be critical for the survival of patients on maintained hemodialysis (MHD) treatment. However, the association between VA satisfaction and psychiatric state in MHD patients is still not fully elucidated. Thus, the aim of this study is to evaluate the relationship among VA satisfaction, health-related quality of life (HRQOL) and depression in MHD patients with different VA types. METHODS: This cross-sectional study was conducted at two dialysis centers with MHD-dependent patients. The Short Form Vascular Access Questionnaire (VAQ) was administered to estimate the level of MHD patients' satisfaction with their VA. HRQOL was assessed using the Short Form 36 (SF-36) questionnaire. Depression was assessed using the Zung's self-rating depression scale (SDS). RESULTS: Of the total 252 patients, AVF was used by 84.13%, AVG was used by 2.78%, and TCC was used by 13.09%. There was no significant difference in satisfaction and SDS scores by access type in patients with AVF, AVG, and TCC. However, HRQOL was worst in patients with TCC, and highest in the AVF group. Further analysis showed that VAQ scores in the domains of overall and dialysis-related complications exhibited a negative correlation with HRQOL. And SF-36 HRQOL scores, including the total score, PCS and MCS, were all negatively correlated with SDS scores (p < 0.05). The results of multivariable analyses found that VAQ scores in the domains of overall score and physical symptom, and total score of HRQOL influenced the depression. CONCLUSIONS: In the present study, no significant difference in satisfaction scores by access type was found in patients with AVF, AVG, and TCC. The HRQOL score was higher in patients with AVF than in those with AVG or TCC. And the result suggested a negative association between HRQOL and depression. Vascular access satisfaction and HRQOL might be risk factors for the presence of depression in MHD patients.

Combination of Stimulated Thyroglobulin and Antithyroglobulin Antibody Predicts the Efficacy and Prognosis of 131I Therapy in Patients With Differentiated Thyroid Cancer Following Total Thyroidectomy: A Retrospective Study.

Background and Purpose: This study aimed to analyze the diagnostic ability of the combination of stimulated thyroglobulin (sTg) and antithyroglobulin antibody (TgAb) in predicting the efficacy and prognosis of radioactive iodine (131I) therapy (RAIT) in patients with differentiated thyroid carcinomas (DTCs) after total thyroidectomy (TT). Methods: This retrospective study comprised 409 DTC patients who underwent 131I treatment following TT in the First Affiliated Hospital of Zhengzhou University from January 2019 to August 2020, and they were followed up to November 2021. Patients were divided into the successful ablation and the unsuccessful ablation group based on the classification of the efficacy of RAIT in the 2015 American Thyroid Association guidelines. The clinical characteristics and the efficacy of the initial RAIT were evaluated. The cutoffs of preablation sTg, sTg/thyroid-stimulating hormone (TSH) ratio, and sTg×TgAb product were calculated to predict the efficacy of RAIT. Univariate and multivariate logistic regression analyses were used to identify the independent risk factors for unsuccessful ablation. Kaplan-Meier curves were used to estimate the prognostic value of sTg×TgAb product affecting progression-free survival (PFS). Results: The cohort consisted of 222 cases in the successful ablation group and 187 cases in the unsuccessful ablation group. Between the two groups, preablation sTg, sTg/TSH ratio, and sTg×TgAb product were significantly higher in the unsuccessful ablation group. The area under the curve (AUC) of the sTg×TgAb product was the highest among the above three factors. The cutoffs for the worse therapeutic effect of the initial RAIT in sTg, sTg/TSH ratio, and sTg×TgAb were >2.99 ng/ml, >0.029 mg/IU, and >34.18, respectively. STg >2.99 ng/ml and sTg×TgAb product >34.18 were independent risk factors for unsuccessful ablation. Patients with sTg×TgAb product >34.18 had shorter PFS than that of patients with sTg×TgAb product ≤34.18. In separate analyses of TgAb-negative and TgAb-positive subgroups, higher sTg×TgAb was both associated with a lower success rate of RAIT and a shorter PFS. Conclusion: STg×TgAb product predicted the efficacy and prognosis of 131I therapy for both TgAb-negative and TgAb-positive DTC patients before the initial 131I treatment following TT. Thus, it can be used as a clinical reference indicator for the surveillance of DTC patients.

IGF2BP2 knockdown suppresses thyroid cancer progression by reducing the expression of long non-coding RNA HAGLR.

BACKGROUND: N6-methyladenosine (m6A), a common internal modification on RNAs, has been found to be closely linked with RNA biosynthesis/metabolism and cancer development. In this text, the roles and molecular mechanisms of m6A-bind protein IGF2BP2 in the development of thyroid cancer (TC) were investigated in vitro. METHODS: IGF2BP2 and lncRNA HAGLR were screened out through multiple public databases such as TCGA, Ualcan, POSTAR2, Starbase, and GEPIA. Cell proliferative, migratory and invasive abilities were assessed by CCK-8, Transwell migration and invasion assays, respectively. Cell cycle distribution and cell apoptotic patterns were measured by flow cytometry. The interaction between HAGLR and IGF2BP2 was examined by RIP, RNA pull-down and luciferase assays and bioinformatics analysis. The effect of IGF2BP2 knockdown on the m6A level of HAGLR was explored by meRIP assay. RESULTS: IGF2BP2 was highly expressed in TC tumor tissues. IGF2BP2 knockdown weakened cell proliferative, migratory, and invasive abilities, and induced cell cycle arrest and cell apoptosis in TC cells. LncRNA HAGLR expression was markedly upregulated and positively associated with IGF2BP2 expression in TC tissues. IGF2BP2 knockdown reduced HAGLR expression and transcript stability in TC cells. IGF2BP2 regulated HAGLR expression in an m6A-dependent manner. HAGLR overexpression weakened the effects of IGF2BP2 loss on cell proliferation, migration, invasion, apoptosis, and cell cycle progression in TC cells. CONCLUSION: IGF2BP2 loss inhibited cell proliferation, migration and invasion, and induced cell apoptosis and cell cycle arrest by down-regulating HAGLR expression in an m6A-dependent manner in TC cells, providing some potential diagnostic and therapeutic targets for TC.

LINC-PINT Suppresses the Aggressiveness of Thyroid Cancer by Downregulating miR-767-5p to Induce TET2 Expression.

Long noncoding RNA (lncRNA) long intergenic nonprotein-coding RNA, p53-induced transcript (LINC-PINT) has shown anti-invasive activity in lung and colon cancer cells. However, the role of LINC-PINT in thyroid cancer is unclear. In the present work, we explored the expression of LINC-PINT in 60 paired thyroid cancer and adjacent normal tissues. The clinical significance and biological function of LINC-PINT in thyroid cancer were determined. LINC-PINT expression was downregulated in thyroid cancer relative to adjacent normal tissues (p = 0.0002). Low expression of LINC-PINT was significantly associated with advanced tumor node metastasis (TNM) stage (p = 0.0306) and lymph node metastasis (p = 0.0359). Ectopic expression of LINC-PINT suppressed the proliferation, invasion, and tumorigenesis of thyroid cancer cells. Mechanistically, LINC-PINT associated with and downregulated microRNA (miR)-767-5p. Moreover, LINC-PINT overexpression relieved miR-767-5p-mediated repression of ten-eleven translocation 2 (TET2). miR-767-5p promoted aggressiveness of thyroid cancer, which was reversed by overexpression of TET2. Coexpression of miR-767-5p or depletion of TET2 rescued the inhibitory effect of LINC-PINT on thyroid cancer cell proliferation and invasion. In addition, there was a negative correlation between miR-767-5p and LINC-PINT in thyroid cancer (r = -0.34772, p = 0.01789). Taken together, LINC-PINT functions as a tumor suppressor in thyroid cancer via the miR-767-5p/TET2 axis, representing a potential therapeutic target for thyroid cancer.

Evaluation of immune infiltrating of thyroid cancer based on the intrinsic correlation between pair-wise immune genes.

INTRODUCTION: Unlike most mutation-driven cancers, thyroid cancer is thought to be highly dependent on changes in human hormone levels. It has become research hotspot using the change of gene expression level as a detection and diagnostic marker. The internal relationship between two genes and disease development is used to avoid the instability caused by single gene fluctuation. Aim It is possible to achieve early diagnosis in thyroid cancer during tumorigenesis and recurrence using IGPS (immune gene pairs). METHODS: We extracted thyroid cancer data from The Cancer Genome Atlas (TCGA), using CIBERSORT algorithm to infiltrate out 22 immune cells types. We screened out IGPS that differ significantly between different groups, then used LinearSVC model to learn and screen features, combined with deep learning neural network model to predict benign and malignant cancer as well as patients at different groups. KEY FINDINGS: There are significant differences of immune cell ratio in tumor stages and relapse samples. We screen out 42 and 64 IGPS for in normal-tumor and non-relapsed groups respectively, for example ASCC3-MAP3K7 and ATF2-SOCS5, have significant correlation in IGPS expression. Then we use the IGPS to train the tumor diagnostic classifier, obtain average AUC are both 0.99 after ten times cross-validation. SIGNIFICANCE: The IGPS gives us new insight to explore immune cell infiltration of thyroid cancer, deep learning model can be further used in early diagnosis of thyroid cancer and estimation of the risk of recurrence.

Midterm Power Load Forecasting Model Based on Kernel Principal Component Analysis and Back Propagation Neural Network with Particle Swarm Optimization.

To improve the accuracy of midterm power load forecasting, a forecasting model is proposed by combing kernel principal component analysis (KPCA) with back propagation neural network. First, the dimension of the input space is reduced by KPCA, then input the data set to the neural network model, optimized by particle swarm optimization. The monthly average of daily peak loads is forecasted to modify the daily forecast values and output the daily peak load in the end. Using the data provided by European Network on Intelligent Technologies to test the model, the mean absolute percent error of load forecasting model is only 1.39%. The feasibility and validity of the model have been proven.