A novel dual S-scheme Co9S8/MnCdS/Co3O4 heterojunction for photocatalytic hydrogen evolution under visible light irradiation.

Rational design and synthesis of a unique heterojunction photocatalyst structure is an important strategy to enhance its performance and structural stability. Herein, Co9S8/MnCdS/Co3O4 photocatalysts with double S-scheme heterojunctions were successfully prepared by coupling Co9S8 and Co3O4 sheet structures with n-type MnCdS nanoparticles through a simple solvothermal and mechanical mixing method. The construction of the dual S-scheme heterostructure offers the possibility to expand the light absorption range, extend the carrier lifetime and maximise the redox capacity. In addition, the mechanism of charge transfer and the reason for the improvement of photocatalytic activity were explored through photoelectrochemical characterization. The lamellar structures of Co9S8 and Co3O4 not only provide excellent dispersion and slow down the agglomeration of MnCdS nanoparticles, but also promote charge transfer, which improves the photocatalytic hydrogen production effect. Under simulated solar irradiation, the evolution rate of H2 after 5 h was as high as 46.44 µmol, which was 3.49 and 1.49 times higher than those of pristine MnCdS and MnCdS/Co3O4, respectively. Meanwhile, it has good stability under 20 h irradiation. This work demonstrates a novel idea for the rational design of double S-scheme photocatalysts with efficient space separation.

Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study.

PURPOSE: To evaluate nnU-net's performance in automatically segmenting and volumetrically measuring ocular adnexal lymphoma (OAL) on multi-sequence MRI. METHODS: We collected T1-weighted (T1), T2-weighted and T1-weighted contrast-enhanced images with/without fat saturation (T2_FS/T2_nFS, T1c_FS/T1c_nFS) of OAL from four institutions. Two radiologists manually annotated lesions as the ground truth using ITK-SNAP. A deep learning framework, nnU-net, was developed and trained using two models. Model 1 was trained on T1, T2, and T1c, while Model 2 was trained exclusively on T1 and T2. A 5-fold cross-validation was utilized in the training process. Segmentation performance was evaluated using the Dice similarity coefficient (DSC), sensitivity, and positive prediction value (PPV). Volumetric assessment was performed using Bland-Altman plots and Lin's concordance correlation coefficient (CCC). RESULTS: A total of 147 patients from one center were selected as training set and 33 patients from three centers were regarded as test set. For both Model 1 and 2, nnU-net demonstrated outstanding segmentation performance on T2_FS with DSC of 0.80-0.82, PPV of 84.5-86.1%, and sensitivity of 77.6-81.2%, respectively. Model 2 failed to detect 19 cases of T1c, whereas the DSC, PPV, and sensitivity for T1_nFS were 0.59, 91.2%, and 51.4%, respectively. Bland-Altman plots revealed minor tumor volume differences with 0.22-1.24 cm3 between nnU-net prediction and ground truth on T2_FS. The CCC were 0.96 and 0.93 in Model 1 and 2 for T2_FS images, respectively. CONCLUSION: The nnU-net offered excellent performance in automated segmentation and volumetric assessment in MRI of OAL, particularly on T2_FS images.

A functional mineralized collagen hydrogel to promote angiogenic and osteogenic for osseointegration of 3D-printed titanium alloy microporous scaffolds.

Bone defects, resulting from trauma, inflammation, tumors, and various other factors, affect both health and quality of life. Although autologous bone transplantation is the gold-standard treatment for bone defects, it has disadvantages such as donor site limitations, prolonged surgical durations, and potential complications, necessitating the development of alternative bone tissue engineering materials. In this study, we used 3D printing technology to fabricate porous titanium implants characterized by superior biocompatibility and mechanical properties. Sodium alginate (SA) and strontium ions (Sr2+) were integrated into mineralized collagen matrices (MCs) to develop strontium-functionalized alginate-mineralized collagen hydrogels (SAMs) with high mechanical strength and sustained metal ion release ability. SAMs were seamlessly incorporated into the porous structures of 3D-printed titanium scaffolds, establishing a novel organic-inorganic bioactive interface. This composite system exhibited high biocompatibility in vitro and increased the expression of genes important for osteogenic differentiation and angiogenesis. In a rabbit model of femoral defect, the titanium implants effectively promoted bone and vascular regeneration on their surface, highlighting their potential in facilitating bone-implant integration.

Effectiveness of patient decision aids in patients with advanced kidney disease: a meta-analysis based on randomized controlled trials.

PURPOSE: To systematically evaluate the decision effectiveness of patient decision aids (PtDAs) on the decision-making effect of patients with advanced chronic kidney disease. METHOD: Two authors independently searched ten electronic databases [Web of science, PubMed, the Cochrane Library, Embase, CINAHL, EBSCO, CBM, CNKI, WanFang DATA and Vip database], to include randomized controlled trials of interventions through PtDAs in patients with advanced chronic kidney disease published from the inception of the database until April 2024. Two authors conducted a comprehensive quality evaluation (Cochrane 5.1.0) before independently extracting and analyzing the data with RevMan 5.2. RESULTS: The study included 11 randomized controlled trials with a total of 1613 patients. According to the results, PtDAs can improve the decision knowledge [SMD = 0.53, 95% CI (0.26, 0.80), P = 0.0002] and decision preparation [SMD = 2.34, 95% CI (2.04, 2.65), P < 0.00001] of patients with advanced chronic kidney disease. Additionally, there was a substantial decrease in the levels of decision regret [SMD = - 1.33, 95% CI (- 2.11, - 0.55), P < 0.05] and decision conflict [SMD = - 0.88, 95% CI (- 1.47, - 0.28), P = 0.004]. CONCLUSION: The current available evidence indicates that PtDAs can significantly enhance the decision knowledge and decision preparation of patients with advanced chronic kidney disease. Additionally, PtDAs can reduce the levels of decision regret and decision conflict. TRIAL REGISTRY: CRD42023433798.

Risk Prediction Models for Sarcopenia in Dialysis Patients: A Systematic Review.

Nowadays, numerous studies have developed risk prediction models for sarcopenia in dialysis patients. However, the quality and performance of these models have not been integrated. The purpose of our study is to provide a comprehensive overview of the current risk prediction models for sarcopenia in dialysis patients and to offer a reference for the development of high-quality prediction models. Ten electronic databases were searched from inception to March 8, 2024. Two researchers independently assessed the risk of bias and applicability of the studies, and used Revman, 5.4, software to conduct a meta-analysis of common predictors in the models. A total of 12 studies described 13 risk prediction models for dialysis patients with sarcopenia. In dialysis patients, the prevalence of sarcopenia ranged from 6.60% to 63.73%. The area under curve (AUC) of the 13 models ranged from 0.776 to 0.945. Only six models (AUC ranging from 0.73 to 0.832) were internally validated, while two were externally evaluated (AUC ranging from 0.913 to 0.955). Most studies had a high risk of bias. The most common effective predictors in the models were age, body mass index, muscle circumference, and C-reactive protein. Our study suggests that developing a prediction model for the onset of sarcopenia in dialysis patients requires a rigorous design scheme, and future verification methods will necessitate multicenter external validation.

Genetically predicted TWEAK mediates the association between lipidome and Keratinocyte Carcinomas.

BACKGROUND: Reports suggest that lipid profiles may be linked to the likelihood of developing skin cancer, yet the exact causal relationship is still unknown. OBJECTIVE: This study aimed to examine the connection between lipidome and skin cancers, as well as investigate any possible mediators. METHODS: A two-sample Mendelian randomization (MR) analysis was conducted on 179 lipidomes and each skin cancer based on a genome-wide association study (GWAS), including melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). Then, Bayesian weighted MR was performed to verify the analysis results of two-sample MR. Moreover, a two-step MR was employed to investigate the impact of TNF-like weak inducer of apoptosis (TWEAK)-mediated lipidome on skin cancer rates. RESULTS: MR analysis identified higher genetically predicted phosphatidylcholine (PC) (17:0_18:2) could reduce the risk of skin tumors, including BCC (OR = 0.9149, 95% CI: 0.8667-0.9658), SCC (OR = 0.9343, 95% CI: 0.9087-0.9606) and melanoma (OR = 0.9982, 95% CI: 0.9966-0.9997). The proportion of PC (17:0_18:2) predicted by TWEAK-mediated genetic prediction was 6.6 % in BCC and 7.6% in SCC. The causal relationship between PC (17:0_18:2) and melanoma was not mediated by TWEAK. CONCLUSION: This study identified a negative causal relationship between PC (17:0_18:2) and keratinocyte carcinomas, a small part of which was mediated by TWEAK, and most of the remaining mediating factors are still unclear. Further research on other risk factors is needed in the future.

RARRES1 identified by comprehensive bioinformatic analysis and experimental validation as a promising biomarker in Skin Cutaneous Melanoma.

Skin cutaneous melanoma (SKCM) is a highly malignant form of skin cancer, known for its unfavorable prognosis and elevated mortality rate. RARRES1, a gene responsive to retinoic acid receptors, displays varied functions in various cancer types. However, the specific role and underlying mechanisms of RARRES1 in SKCM are still unclear. GSE15605 was utilized to analyze the expression of RARRES1 in SKCM. Subsequently, the TCGA and GEO databases were employed to investigate the relationships between RARRES1 and clinicopathological parameters, as well as the prognostic implications and diagnostic efficacy of RARRES1 in SKCM. GO, KEGG, and GSEA analyses were conducted to explore the potential functions of RARRES1. Furthermore, the associations between RARRES1 and immune infiltration were examined. Genomic alterations and promoter methylation levels of RARRES1 in SKCM were assessed using cBioPortal, UALCAN, and the GEO database. Finally, RARRES1 expression in SKCM was validated through immunohistochemistry, and its functional role in SKCM progression was elucidated via in vivo and in vitro experiments. We found that RARRES1 was downregulated in SKCM compared with normal tissues, and this low expression was associated with worse clinicopathological features and poor prognosis of SKCM. The diagnostic efficacy of RARRES1, as determined by ROC analysis, was 0.732. Through GO, KEGG, and GSEA enrichment analysis, we identified 30 correlated genes and pathways that were mainly enriched in the tumor immune microenvironment, proliferation, apoptosis, and autophagy. Additionally, RARRES1 expression was found to be positively related to the infiltration of various immune cells in SKCM, particularly macrophages and T helper cells, among others. Analysis of genomic alterations and promoter methylation revealed that shallow deletion and hypermethylation of the RARRES1 promoter could lead to reduced RARRES1 expression. IHC validation confirmed the downregulation of RARRES1 in SKCM. Moreover, overexpression of RARRES1 inhibited the proliferation and migration of A375 cells, promoted apoptosis, and inhibited autophagic flux. In the mouse xenograft model, RARRES1 overexpression also suppressed SKCM tumor growth. Collectively, these findings suggest that RARRES1 may function as a suppressor and could potentially serve as a prognostic biomarker and therapeutic target for SKCM.

Preparation and Mechanical Properties of Flexible Prepreg Resin with High Strength and Low Creep.

In this study, aiming at the problem of low strength and high creep caused by medium-low modulus flexible resin based on the formulation design idea of high-molecular-weight epoxy resin (E12)-reinforced flexible epoxy-terminated urethane resin (EUR), a flexible epoxy prepreg resin with high strength and low bending creep was prepared to be suitable for hot melt processing technology. Flexible EUR was synthesized by grafting flexible polyurethane segments onto the epoxy side chain by urethane bonding. By adjusting the ratio of E12 and EUR, the effects of different ratios of the two components on the mechanical properties and viscoelasticity of the resin were systematically studied with dicyandiamide as the latent curing system. Research has found that when the E12 content is between 20%wt and 40%wt, the resin system has the best coating viscosity at 65 °C to 85 °C. The molecular weight and the content of aromatic heterocyclic groups of the resin determine the strength and creep behavior of the resin. When the content of E12 in the system is less than 50%wt, modulus and strength increase linearly, but after more than 50%wt E12 content, the modulus is almost unchanged and the strength begins to decrease. By increasing the content of E12 in the resin, the creep behavior of the resin is greatly reduced. When the content of E12 increases to 50%wt, the bending creep is the lowest.

Identification of potential crucial genes shared in psoriasis and ulcerative colitis by machine learning and integrated bioinformatics.

BACKGROUND: Mounting evidence suggest that there are an association between psoriasis and ulcerative colitis (UC), although the common pathogeneses are not fully understood. Our study aimed to find potential crucial genes in psoriasis and UC through machine learning and integrated bioinformatics. METHODS: The overlapping differentially expressed genes (DEGs) of the datasets GSE13355 and GSE87466 were identified. Then the functional enrichment analysis was performed. The overlapping genes in LASSO, SVM-RFE and key module in WGCNA were considered as potential crucial genes. The receiver operator characteristic (ROC) curve was used to estimate their diagnostic confidence. The CIBERSORT was conducted to evaluate immune cell infiltration. Finally, the datasets GSE30999 and GSE107499 were retrieved to validate. RESULTS: 112 overlapping DEGs were identified in psoriasis and UC and the functional enrichment analysis revealed they were closely related to the inflammatory and immune response. Eight genes, including S100A9, PI3, KYNU, WNT5A, SERPINB3, CHI3L2, ARNTL2, and SLAMF7, were ultimately identified as potential crucial genes. ROC curves showed they all had high confidence in the test and validation datasets. CIBERSORT analysis indicated there was a correlation between infiltrating immune cells and potential crucial genes. CONCLUSION: In our study, we focused on the comprehensive understanding of pathogeneses in psoriasis and UC. The identification of eight potential crucial genes may contribute to not only understanding the common mechanism, but also identifying occult UC in psoriasis patients, even serving as therapeutic targets in the future.

Measuring the intensive care experience of intensive care unit patients: A cross-sectional study in western China.

BACKGROUND: The negative experiences of intensive care unit (ICU) patients seriously affect their quality of life and survival outcomes. Thus, it is of great significance to evaluate the monitoring experience of ICU patients for the clinical improvement of their experiences and promote interventions. OBJECTIVES: The objective of this study was to investigate patients' experiences of ICU and to understand the sources of patient experience and influencing factors. METHODS: From November 2021 to September 2022, a cross-sectional survey was conducted with 600 inpatients from four grade A-III hospitals in western China. Data were collected using the Chinese version of the Intensive Care Experience Questionnaire. RESULTS: 585 valid questionnaires were collected, the response rate was 97.5%. ICU patients in western China scored below-the-average for their intensive care experience. Family monthly income, occupation types, medical payment method, type of ICU, ICU admission plan, ICU admission times, mechanical ventilation use, fertility status, analgesia, sedation, and Acute Physiology and Chronic Health Evaluation II scores are important factors influencing ICU patients' intensive care experience. CONCLUSIONS: Medical staff need to pay attention to patient experience, improve the awareness of patient stressors and influencing factors, design nursing programs conducive to patient-positive experience, and promote interventions to further improve the long-term prognosis of patients. The results of this study can also be used as a set of nursing-sensitive indicators for evaluating nursing structure, process, and outcomes.

STformer: Spatial-Temporal Transformer for early Warning of Unplanned Extubation in ICU.

Patients' Unplanned Extubation (UEX) is dangerous in the intensive care units (ICU), it is necessary to make early warning of UEX. However, the low fine-grained action of UEX and complexity of ICU environment make early warning a great challenging by using RGB video data. To address this issue, we propose a novel lightweight Spatial-Temporal Transformer (STformer) for early warning of patients' UEX action in the ICU. Specially, the SlowFast is used to extract patient's spatial-temporal features initially. Then, in order to improve the representation of features, we introduce spatial attention to enhance the spatial representation of fine-grained actions, and capture the long-term dependency of motions through temporal attention. Finally, a spatial-temporal joint attention is used to reconstruct and strengthen spatial and temporal information. Experiment results illustrate state-of-the-art performance of our STformer on ICU monitory datasets. While ensuring the accuracy of early warning, the computational complexity of STformer are also light.

Charging characteristics of long distance accumulator for underwater electro-hydraulic control system.

Long distance accumulators are widely used in underwater electro-hydraulic control systems. However, as the working depth increases, the underwater umbilical cable becomes longer. The actual physical properties of the gas in the accumulator change. These factors affect the charging characteristics of the accumulator. To address the above issues, a simulation model of the charging of the long distance accumulator under real operating conditions is developed. Among them, the real properties of the gas inside the accumulator were calculated using the Redlich-Kwong-Soave method. The coefficient of friction within the umbilical cable is based on the Reynolds number and relative roughness. The simulation data were compared with the experimental results in the South China Sea to verify the accuracy of the simulation model. The effects of key factors on the charging characteristics of the long distance accumulators were also analyzed. The results show that the simulation results are in good agreement with the experimental results. The law of accumulator charging was analyzed: the greater the pressure of the gas source, the smaller the accumulator charging time; the greater the working water depth, the shorter the accumulator charging time. The research provides guidance for the design of long distance accumulators.

The prevalence and interventions of xerosis cutis among older adults: A systematic review and meta-analysis.

BACKGROUND: Xerosis cutis in older adults is a geriatric public health issue that severely affects healthy aging, associated with adverse outcomes and increased nursing burden. Skin care plays a significant role in the management of xerosis cutis. AIM: To assess the pooled prevalence and interventions of xerosis cutis among older adults. METHODS: We searched ten databases systematically from inception to August 29, 2023. We estimated pooled prevalence of xerosis cutis using Stata 15.0. RESULTS: 28 articles were included in this review. The pooled prevalence of xerosis cutis was 53 %(95 %CI:36-69 %). We found the prevalence of xerosis cutis was highest in nursing homes and developed countries. The prevalence of xerosis cutis was similar in males and females. The prevalence of mild xerosis cutis and xerosis cutis at lower limbs was relatively high. Regular use of humectant-containing leave-on skin care products and structured skin care regimens were helpful in alleviating xerosis cutis. CONCLUSION: Older adults are at high risk for xerosis cutis. The research provides health professionals with a basic framework for the prevention and management of xerosis cutis.

Effect of Structural Parameters on the Performance of Axial-Flow Inlet Hydrocyclones for In Situ Desanding from Natural Gas Hydrate Mixed Slurry.

Structural parameters play a decisive role in the performance of hydrocyclones for in situ natural gas hydrate (NGH) recovery and desanding. In this paper, the effects of key structural parameters on its performance were investigated by numerical simulations and experimental methods. The results show that the most influential factors are the spiral pitch of the spiral inlet, the vortex finder diameter, and the spigot diameter. The second most influential factors are the spiral turn number and the cone angle. Other parameters have the least influence. Specifically, the NGH recovery efficiency and pressure drop increase, but desanding efficiency decreases as d0/D and the cone angle increase. The NGH recovery efficiency and pressure drop decrease and desanding efficiency increases as ds/D increases. Therefore, it is necessary to choose a suitable value to balance the efficiency and pressure drop to improve the performance, for example, selecting the appropriate diameter ratio of the vortex finder and spigot. The above results can be used for the engineering design of in situ separators in marine hydrate mining and further realize in situ desanding, NGH recovery, and sand backfilling.

First report of Trunk Canker Caused by Botryosphaeria dothidea on Cinnamomum camphora in China.

Cinnamomum camphora, an essential woody plant in China, experienced a severe outbreak of trunk canker affecting an area of 540,000 square meters in the Xiaoshan District of Zhejiang province during the early summer of 2022. The observed symptoms included stem canker, dieback, twig blight, and extensive vascular discoloration, with an incidence rate ranging from 45% to 70%. To investigate the etiology of the disease, symptomatic plant samples were subjected to rigorous surface sterilization involving washing with running tap water, followed by surface sterilization using 75% ethanol. The samples were then rinsed twice with sterile distilled water, plated on potato dextrose agar (PDA) medium, and incubated at a temperature of 28°C. The isolated fungi exhibited characteristics consistent with the species Botryosphaeria dothidea. Fungal isolates displayed abundant white aerial mycelium, which darkened to grey after five to seven days, eventually giving rise to black pycnidia. Single hyphal tip cultures of putative two isolates were stored at the Agricultural Experiment Station of Zhejiang University. Conidia formed on pycnidia were one-celled, hyaline, aseptate, and fusiform, with dimensions of 18.34-27.12 µm x 3.77-6.84 µm (average 22.90 µm x 5.20 µm) (one hundred conidia were measured). To determine the fungal species, genomic DNA was extracted from individual isolates ZJUP0868, and subjected to DNA sequence analysis of four gene regions: the internal transcribed spacer (ITS) using the primer-pair ITS4 and ITS1 (White et al., 1990), the large subunit (LSU) gene with LR0R and LR5 (Rehner and Samuels, 1995), the small subunit (SSU) gene with SR1R and SR7 (Zoller et al., 1999), and the translation elongation factor 1-alpha (tef1) with EF1-983F and EF1-2218R (Rehner and Buckley, 2005). Furthermore, DNA sequence analysis of above four genes was performed. BLAST analysis indicated the highest nucleotide sequence identity with Botryosphaeria dothidea CBS 115476 reference sequence (ITS: 99.59%, KF766151; LSU: 99.88%, DQ377852; SSU: 100%, NG_062738; tef1: 98.93%, AY236898). Representative sequences of isolate ZJUP0868 from these regions were deposited in GenBank (ITS: Accession No. OR192838; LSU: Accession No:OR248147; SSU: Accession No:OR248174; tef1: Accession No. OR262053). A phylogenomic analysis was conducted to determine the phylogenetic position of Botryosphaeria dothidea in the family Botryosphaeriaceae. The combined morphological and molecular findings confirmed the identification of the pathogen as Botryosphaeria dothidea. Pathogenicity tests were conducted by stem inoculation of two-year-old Cinnamomum camphora baranches. Mycelial plugs (2-3 mm in diameter) from actively growing colonies of B. dothidea (PDA) were applied to bark of similar size on the middle point of the stems. Inoculated barks were wrapped with Parafilm, while control branches received sterile PDA plugs. Inoculated and control branches (7 each) were maintained in a greenhouse at 28°C. After two weeks, all inoculated plants exhibited dark vascular stem tissue, whereas the control plants remained healthy. B. dothidea was re-isolated from symptomatic tissues, thus fulfilling Koch's postulates. No symptoms were observed in the control branched, and B. dothidea was not re-isolated from their tissues. B. dothidea , the type species of Botryosphaeria (Botryosphaeriaceae, Botryosphaeriales), is commonly associated with cankers and dieback in woody plants. Previous reports have identified Botryosphaeria dothidea as a pathogen causing stem dieback and trunk canker on Glycine max (Chen et al., 2020), Camellia oleifera (Hao et al., 2022), and Gleditsia sinensis (Huang et al., 2020). Additionally, B. dothidea has been reported to cause leave wilt on various plant species in China, including Daimyo oak (Liu et al., 2023) and Cornus officinalis (Zhang et al., 2022). To the best of our knowledge, this is the first report of B. dothidea on C. camphora in China. This findings contribute to a better understanding of the pathogens affecting Cinnamomum camphora in the China.

Case Report: Transvaginal specimen extraction following totally laparoscopic D2 distal gastrectomy for gastric cancer in a patient with situs inversus totalis: with video.

Because of its significant advantage of fast postoperative recovery, natural orifice specimen extraction surgery (NOSES) has attracted increasing attention worldwide. However, the NOSES in gastric cancer (GC) treatment still needs more clinical practice, especially for the rare anatomical anomaly. Situs inversus totalis (SIT) is a rare autosomal recessive anatomical anomaly with an incidence ranging between 1/8,000 and 1/25,000 births. We present a video of transvaginal specimen extraction following totally laparoscopic D2 distal gastrectomy performed in a 59-year-old woman known to have SIT. Preoperative investigations revealed that the patient had early GC at the antrum. A gastroscopy report from the local hospital showed signet-ring cell carcinoma. The preoperative computed tomography scan revealed irregular thickening of the gastric wall at the junction of the greater curvature and antrum without metastasis to the lymph nodes. In total, laparoscopic D2 distal gastrectomy was performed with transvaginal specimen extraction. Billroth II with Braun anastomosis was performed for reconstruction. The length of the operation was 240 min without intraoperative complications and with minimal blood loss of 50 ml. The patient was uneventfully discharged on postoperative Day 7. The final pathology confirmed signet-ring cell carcinoma confined to the mucosal muscle without metastasis in 16 lymph nodes. Transvaginal specimen extraction following totally laparoscopic D2 distal gastrectomy can be safely performed in patients with SIT and has similar surgical outcomes to usual laparoscopic gastrectomy.

Identification of Heterophilic Epitopes of H1N1 Influenza Virus Hemagglutinin.

Our previous studies found that the H1-50 monoclonal antibody (mAb) of influenza A virus hemagglutinin (HA) cross-reacted with pancreatic tissue and islet ß-cells, and further studies showed that H1-50 mAb binds to prohibitin (PHB) protein of islet ß-cells. These suggest that there are heterophilic epitopes between influenza virus HA and pancreatic tissue, which may be involved in the pathogenesis of type 1 diabetes. To further investigate these heterophilic epitopes, we screened binding epitopes of H1-50 mAb using a phage 12-peptide library. DNA sequencing and comparative analysis were performed on specific positive phage clones, and the sequence of 12-peptide binding to H1-50 mAb was obtained. The binding epitopes of H1-50 mAb in influenza virus HA were determined by sequence analysis and experimental verification, and their distribution within the three-dimensional structure was assessed by PyMOL. The results showed that H1-50 mAb specifically binds to polypeptides (306-SLPFQNIHPITIGK-319) of influenza A virus HA, located in the stem of the HA protein. However, there is no specific binding sequence between H1-50 mAb and the PHB protein of islet ß-cells in the primary structure, and we speculate that the binding of H1-50 mAb to islet ß-cells may depend on the spatial conformation. The identification of the heterophilic epitopes of H1N1 influenza virus hemagglutinin provides a new perspective on type 1 diabetes that may be caused by influenza virus infection, which may contribute to the prevention and control of influenza.

Prognostic nomogram for multiple myeloma early relapse after autologous stem cell transplant in the novel agent era.

BACKGROUND: The present study intended to establish a predictive nomogram for early relapse (ER) (<12 months) after autologous stem cell transplantation (ASCT) in the novel drug era for multiple myeloma (MM). PATIENTS AND METHODS: The nomogram was designed and constructed to a retrospective clinical data of newly diagnosed MM patients received novel agent induction therapy and subsequent ASCT at three centers in China from July 2007 to December 2018. The retrospective study was conducted among 294 patients in the training cohort and 126 in the validation cohort. The nomogram's predictive accuracy was evaluated by the concordance index, calibration curve and decision clinical curve. RESULTS: The study cohort included 420 newly diagnosed MM patients, and 100 (23.8%) were identified as having ER, including 74 in the training cohort and 26 in the validation cohort. According to the result of multivariate regression in the training cohort, the prognostic variables included in the nomogram were high-risk cytogenetics, LDH > UNL, and response less than very good partial response (VGPR) after ASCT. The calibration curve showed good fitness between the nomogram predictions and the actual observations and the nomogram was further validated by a clinical decision curve. The nomogram's C-index achieved 0.75 (95% CI, 0.70-0.80), which was higher than that of the Revised International Staging System (R-ISS) (0.62), ISS (0.59), and Durie-Salmon (DS) staging system (0.52). The discrimination ability of the nomogram in the validation cohort was superior to that of the other staging systems (C-index: 0.73 vs. R-ISS (0.54), ISS (0.55), and DS staging system (0.53)). DCA showed the prediction nomogram adds much more clinical utility. Different scores of the nomogram draw a distinction of OS. CONCLUSION: The present nomogram could serve as a feasible and accurate prediction of ER in novel drug induction transplantation-eligible MM patients, which could help modify the post-ASCT strategy for patients at high risk of ER.

Effect of Spiral Inlet Geometric Parameters on the Performance of Hydrocyclones Used for In Situ Desanding and Natural Gas Hydrate Recovery in the Subsea.

The inlet structure of hydrocyclones has great impact on performance. In this paper, the effects of spiral inlet geometric parameters on the flow field characteristics and separation performance were investigated by CFD. Numerical results show that the pitch has the largest influence, followed by the heads, the turns, and the steady flow cone. With the increase of the steady flow cone angle, the turbulence intensity increases. The efficiency, pressure drop, tangential velocity, sand volume fraction at the spigot, and natural gas hydrate (NGH) volume fraction at the vortex finder decrease, when the pitch increases. With the increase of the number of heads and turns, the efficiency, pressure drop, tangential velocity, the NGH volume fraction at the vortex finder, and the sand volume fraction at the spigot increase. The efficiency and pressure drop of hydrocyclones with the optimal parameters are 90% and 0.05 MPa, respectively. Therefore, the performance of the NGH hydrocyclone can be improved by increasing the inlet pitch and the number of spiral heads and inlet spiral turns. The results provide theoretical guidance for the engineering design of NGH in situ separators.