Hyperuricemia Increases the Risk of Postoperative Recurrence in Chinese Patients with Chronic Rhinosinusitis.

Background: Elevated serum uric acid is crucial in the pathophysiology of chronic inflammatory diseases. However, its impact on chronic rhinosinusitis (CRS) recurrence risk is unknown. This study investigates the association between elevated serum uric acid and the risk of CRS recurrence. Methods: A retrospective cohort study was conducted on 1004 CRS patients (including 638 males and 366 females) who received functional endoscopic sinus surgery. All patients were followed up for more than 2 years, and categorized into subgroups based on phenotype, gender, and postoperative recurrence. Cox regression analysis was performed to evaluate the associations between serum uric acid and the risk of CRS recurrence. Results: After categorization, 104 males had hyperuricemia, and 54 females presented hyperuricemia. The rate of recurrent CRS in the hyperuricemia group was significantly higher compared to the non-hyperuricemia group in both males and females (P<0.05). In both male and female patients, the rate of hyperuricemia and uric acid levels were elevated in the recurrent CRS group in comparison with the non-recurrent CRS group (P<0.05). Unadjusted and adjusted Cox regression analysis demonstrated that serum uric acid was an independent risk factor for CRS recurrence (P<0.05). The receiver operator characteristic curve showed that serum uric acid was a potential biomarker for predicting the recurrence of CRS and its phenotypes in both genders (P<0.05). Conclusion: There is a close relationship between elevated serum uric acid and the recurrence risk of CRS and its phenotypes, suggesting that serum uric acid may be a novel biomarker for predicting recurrent CRS.

In Situ Unveiling of the Resistive Switching Mechanism of Halide Perovskite-Based Memristors.

The organic-inorganic halide perovskite has become one of the most promising candidates for next-generation memory devices, i.e. memristors, with excellent performance and solution-processable preparation. Yet, the mechanism of resistive switching in perovskite-based memristors remains ambiguous due to a lack of in situ visualized characterization methods. Here, we directly observe the switching process of perovskite memristors with in situ photoluminescence (PL) imaging microscopy under an external electric field. Furthermore, the corresponding element composition of conductive filaments (CFs) is studied, indicating that the metallic CFs with respect to the activity of the top electrode are essential for device performance. Finally, electrochemical impedance spectroscopy (EIS) is conducted to reveal that the transition of ion states is associated with the formation of metallic CFs. This study provides in-depth insights into the switching mechanism of perovskite memristors, paving a pathway to develop and optimize high-performance perovskite memristors for large-scale applications.

Multifunctional Interlayer Engineering for Silkworm Excrement-Derived Porous Carbon Enabling High-Energy Lithium Sulfur Batteries.

Lithium-sulfur (Li-S) batteries show advantage of high theoretical capacity. However, the shuttle effect of polysulfides and sluggish sulfur redox kinetics seriously reduce their service life. Inspired by the porous structural features of biomass materials, herein, a functional interlayer is fabricated by silkworm excrement-derived three-dimensional porous carbon accommodating nano sized CoS2 particles (SC@CoS2 ). The porous carbon delivers a high specific surface area, which provides adequate adsorption sites, being responsible for suppressing the shuttle effect of polysulfides. Meanwhile, the porous carbon is favorable for hindering the aggregation of CoS2 and maintaining its high activity during extended cycles, which effectively accelerates the polysulfides conversion kinetics. Moreover, the SC@CoS2 functional interlayer effectively limits the formation of Li dendrites and promotes the uniform deposition of Li on the Li electrode surface. As a result, the CMK-3/S cathode achieves a high initial capacity of 1599.1 mAh g-1 at 0.2 C rate assisted by the polypropylene separator coated with the functional interlayer and 1208.3 mAh g-1 is maintained after the long cycling test. This work provides an insight into the designing of long-lasting catalysts for stable functional interlayer, which encourages the application of biomass-derived porous carbon in high-energy Li-S batteries.

High-Performance Graphene Nanowalls/Si Self-Powered Photodetectors with HfO2 as an Interfacial Layer.

Graphene/silicon (Si) heterojunction photodetectors are widely studied in detecting of optical signals from near-infrared to visible light. However, the performance of graphene/Si photodetectors is limited by defects created in the growth process and surface recombination at the interface. Herein, a remote plasma-enhanced chemical vapor deposition is introduced to directly grow graphene nanowalls (GNWs) at a low power of 300 W, which can effectively improve the growth rate and reduce defects. Moreover, hafnium oxide (HfO2) with thicknesses ranging from 1 to 5 nm grown by atomic layer deposition has been employed as an interfacial layer for the GNWs/Si heterojunction photodetector. It is shown that the high-k dielectric layer of HfO2 acts as an electron-blocking and hole transport layer, which minimizes the recombination and reduces the dark current. At an optimized thickness of 3 nm HfO2, a low dark current of 3.85 × 10-10, with a responsivity of 0.19 AW-1, a specific detectivity of 1.38 × 1012 as well as an external quantum efficiency of 47.1% at zero bias, can be obtained for the fabricated GNWs/HfO2/Si photodetector. This work demonstrates a universal strategy to fabricate high-performance graphene/Si photodetectors.

Evaluation of Intralymphatic Immunotherapy in Allergic Rhinitis Patients: A Systematic Review and Meta-analysis.

Background: Intralymphatic immunotherapy (ILIT) is short-course administration of allergen-specific immunotherapy (AIT). This study is aimed at assessing the clinical efficacy and safety of ILIT in patients with allergic rhinitis (AR). Methods: MEDLINE, PUBMED, and Cochrane Library were used to conduct electronic searches for clinical trials comparing ILIT and placebo in patients with AR. The final search took place on August 24, 2022. Cochrane Handbook for Systematic Reviews of Interventions was used to assess the risk of bias in the included studies. The outcomes included combined symptom and medication scores (CSMS), visual analog scale (VAS), allergic rhinoconjunctivitis quality of life (RQLQ), Skin-prick test (SPT), and adverse events (AEs). Data were synthesized as mean difference (MD)/standard mean difference (SMD) or risk difference (RD) and 95% confidence interval (CI). Results: Thirteen studies (454 participants) were included in this study. The ILIT group had better clinical improvement on the CSMS (random effects model, SMD-0.85, 95% CI [-1.58, -0.11], P = 0.02) and RQLQ (fixed-effects model, MD-0.42, 95% CI [0.69, 0.15], P = 0.003) than the placebo group. The booster injection was beneficial for CSMS (P < 0.0001), and the 4-week injection interval was superior to the 2-week injection period for improving VAS (P < 0.0001). Local swelling or erythema was the main AE following injection (random effects model, RD 0.16, 95% CI [0.05, 0.27], P = 0.005). Discussion. For individuals with AR, ILIT is safe and effective. ILIT alleviates clinical symptoms and reduces pharmaceutical consumption without causing severe AEs. However, the validity of this study is compromised by the substantial heterogeneity and risk of bias in the included researches. RegistrationCRD42022355329.

All-solution-processed perovskite/gallium nitride particles hybrid visible-blind ultraviolet photodetectors.

Last decades have witnessed the rapid development of ultraviolet (UV) photodetectors in diversity of applications. The III-nitride semiconductor and metal halide perovskite have both performed promising UV-sensing optoelectronic properties. However, they are still suffering from either the high temperature epitaxial-growth or low photocurrent generated in UV range. In this work, we demonstrate an innovative MAPbCl3/GaN particle hybrid device with all-solution-processed deposition methods. Comparing to the control MAPbCl3photoconductors, the photo-sensing ability of the hybrid device with the optimal concentration of GaN particles is more than one order of magnitude enhanced, and report a responsivity of 86 mA W-1, a detectivity of 3.1 × 1011Jones and a rise/fall time of 1.1/10.7 ms at 360 nm. The photocurrent increment could be attributed to the enhanced UV absorption of GaN particles and facilitated charge separation and photoconductive gain at MAPbCl3/GaN heterojunction. This work paves a pathway towards the large-scale low-cost UV photodetectors in versatile applications.

Elevated body mass index increased the risk of recurrence in Chinese patients with chronic rhinosinusitis.

BACKGROUND: Elevated body mass index (BMI) has been associated with an increased prevalence of chronic rhinosinusitis (CRS). However, the impact of BMI on the risk of recurrence of CRS is unknown. This study aimed to investigate the association between BMI and the risk of CRS recurrence. MATERIAL AND METHODS: A retrospective cohort study was conducted and recruited 1057 CRS patients who underwent functional endoscopic sinus surgery (FESS). All subjects were classified into four groups: "underweight", "normal weight", "overweight", and "obese". Multivariate regression analysis was performed to examine the associations between BMI categories and other factors and the risk of CRS recurrence. RESULTS: The rate of recurrent CRS was significantly higher in the overweight group and obese group than in the normal weight group (P < 0.05). Unadjusted and adjusted logistic regression analyses demonstrated that overweight and obesity exhibited an increased risk of CRS recurrence as compared to patients with normal weight (P < 0.05). Furthermore, all patients were divided into primary CRS group and recurrent CRS group, and the BMI, duration of disease and rate of allergic rhinitis were vastly increased in the recurrent group than in the primary group (P < 0.05). Univariate and multivariate regression analysis showed that BMI and duration of disease were the dominant risk factors of CRS recurrence (P < 0.05). CONCLUSION: Overweight and obesity presented significant impacts on the CRS recurrence, and elevated BMI were associated with an increased risk of CRS recurrence independently from traditional risk factors. A longer duration of disease was correlated with a higher risk of CRS recurrence.

Outcomes of endoscopic and open resection of sinonasal malignancies: a systematic review and meta-analysis

Abstract Objective: To compare the efficacy of endoscopic and open resection of sinonasal malignancies. Methods: The search was performed using PubMed (1950-2020), Embase (1974-2020), the Cochrane library, and the website clinicaltrials.gov. The hazard ratio, HR, 95% confidence interval, CI, of the rates of overall survival and disease-free survival and the demographic characteristics of the included studies were extracted and analyzed. Pooled analysis was conducted with the studies' individual patient data, using log-rank test, Kaplan-Meier survival, and Cox regression analysis. Results: Of 1939 articles retrieved, 23 articles were included. Overall, 1373 cases were incorporated into the final analysis, 653 (47.56%) of which underwent the surgery through an endoscopic approach, whereas 720 (52.44%) cases utilized the open approach. The overall survival was comparable between endoscopic and open resection (HR = 0.84 [95% CI: 0.65-1.07], p = 0.16; random effects analysis). Pooled analysis with Cox regression revealed significant differences in overall survival (HR = 0.568 [95%CI:0.380-0.849], p = 0.006) and disease-free survival (HR = 0.628 [95%CI:0.424-0.929], p = 0.02) between endoscopic and open approaches. Conclusion: The aggregated evidence suggests the survival outcome of endoscopic resection is comparable or greater than that of open resection of sinonasal malignancies.

Exosomes Derived hsa-miR-4669 as a Novel Biomarker for Early Predicting the Response of Subcutaneous Immunotherapy in Pediatric Allergic Rhinitis.

Purpose: Subcutaneous immunotherapy (SCIT) is an effective treatment for pediatric allergic rhinitis (AR), but its efficacy fluctuates among individuals. This study aims to identify the profile of serum exosomes derived microRNAs (miRNAs) and evaluate their capacities to early predict SCIT efficacy in pediatric AR. Patients and Methods: High-throughput sequencing was applied to identify the miRNA of serum exosomes in AR children. GO enrichment and KEGG pathway analysis were performed to enrich the biological annotations of target mRNAs of miRNAs. Then we validated differentially expressed miRNAs in two independent cohorts by RT-qPCR. Logistic regression and receiver operating characteristic curve (ROC) were applied to evaluate the abilities of identified miRNAs in predicting the efficacy of SCIT in AR children. Results: A total of 812 miRNAs were detected in the serum exosomes, including 16 upregulated and 14 downregulated. Differentially expressed genes are enriched in the biological process of developmental process and regulation of cellular process, and gathered in pathways such as the signaling pathways regulating pluripotency of stem cells and the Wnt signaling pathway. In the first validation cohort, hsa-miR-4669 (P=0.009) and hsa-miR-4686 (P=0.032) were significantly downregulated in the effective group than the ineffective group, while hsa-miR-3196 (P=0.015) was upregulated. In the second cohort, hsa-miR-4669 level (P<0.0001) was downregulated in the effective group than the ineffective group. In addition, logistic regression revealed that hsa-miR-4669 level was correlated with the visual analogue scale (r=0.323, P=0.001) and total nasal symptoms score (r=0.269, P =0.007). ROC curve highlighted that hsa-miR-4669 level exhibited a reliable accuracy in predicting SCIT efficacy in pediatric AR (AUC=0.785). Conclusion: Serum exosomes derived miRNA were associated with the efficacy of SCIT. Serum exosomes derived hsa-miR-4669 might serve as a novel biomarker for early predicting the response of SCIT in AR children.

Glycosylation of luteolin in hydrophilic organic solvents and structure-antioxidant relationships of luteolin glycosides.

An effective approach was developed to biotransform luteolin glycosides in hydrophilic organic solvents. Bacillus cereus A46 cells showed high activity and stability in 5-20% (v/v) DMSO with 90-98% conversion rates of luteolin glycosides. Five glycosides of luteolin 7-O-ß-glucoside, luteolin 4'-O-ß-glucoside, luteolin 3'-O-ß-glucoside, luteolin 7,3'-di-O-ß-glucoside and luteolin 7,4'-di-O-ß-glucoside were obtained. The addition of DMSO greatly promoted the solubility of luteolin and further regulated the formation of the main products from five luteolin glycosides to luteolin 7-O-ß-glucoside (931.2 µM). Fourteen flavonoids and anthraquinones were used as tentative substrates. Glycosylation positions were located at the C-7, C-3' or C4' hydroxyl groups of flavonoids and C-5 hydroxyl group of anthraquinones. The 3',4'-dihydroxy arrangement played the key role for the antioxidant activity of luteolin.

A Heterozygous LMF1 Gene Mutation (c.1523C>T), Combined With an LPL Gene Mutation (c.590G>A), Aggravates the Clinical Symptoms in Hypertriglyceridemia.

Hypertriglyceridemia is an important contributor to atherosclerotic cardiovascular disease (ASCVD) and acute pancreatitis. Familial hypertriglyceridemia is often caused by mutations in genes involved in triglyceride metabolism. Here, we investigated the disease-causing gene mutations in a Chinese family with hypertriglyceridemia and assessed the functional significance in vitro. Whole-exome sequencing (WES) was performed revealing that the severe hypertriglyceridemic proband carried a missense mutation (c.590G > A) in exon 5 of the LPL gene, as well as a missense mutation (c.1523C > T) in exon 10 of the LMF1 gene. Conservation analysis by Polyphen-2 showed that the 508 locus in the LMF1 protein and 197 locus in the LPL protein were highly conserved between different species. I-TASSER analysis indicated that the LMF1 c.1523C > T mutation and the LPL c.590G > A mutation changed the tertiary structure of the protein. A decrease in mRNA and protein expression was observed in 293T cells transfected with plasmids carrying the LMF1 c.1523C > T mutation. Subcellular localization showed that both wild-type (WT) and mutant LMF1 protein were localized at the cell cytoplasm. In the cell medium and cell lysates, these LMF1 and LPL gene mutations both caused a decreased LPL mass. Moreover, the combination of LMF1 and LPL gene mutations significantly decreased LPL levels compared to their individual effects on the LPL concentration. Both the clinical and in vitro data suggest that severe hypertriglyceridemia was of digenic origin caused by LMF1 and LPL mutation double heterozygosity in this patient.

Outcomes of endoscopic and open resection of sinonasal malignancies: a systematic review and meta-analysis.

OBJECTIVE: To compare the efficacy of endoscopic and open resection of sinonasal malignancies. METHODS: The search was performed using PubMed (1950-2020), Embase (1974-2020), the Cochrane library, and the website clinicaltrials.gov. The hazard ratio, HR, 95% confidence interval, CI, of the rates of overall survival and disease-free survival and the demographic characteristics of the included studies were extracted and analyzed. Pooled analysis was conducted with the studies' individual patient data, using log-rank test, Kaplan-Meier survival, and Cox regression analysis. RESULTS: Of 1939 articles retrieved, 23 articles were included. Overall, 1373 cases were incorporated into the final analysis, 653 (47.56%) of which underwent the surgery through an endoscopic approach, whereas 720 (52.44%) cases utilized the open approach. The overall survival was comparable between endoscopic and open resection (HR = 0.84 [95% CI: 0.65-1.07], p = 0.16; random effects analysis). Pooled analysis with Cox regression revealed signifcant differences in overall survival (HR = 0.568 [95%CI:0.380-0.849], p = 0.006) and disease-free survival (HR = 0.628 [95%CI:0.424-0.929], p = 0.02) between endoscopic and open approaches. CONCLUSION: The aggregated evidence suggests the survival outcome of endoscopic resection is comparable or greater than that of open resection of sinonasal malignancies.

Emerging disposal technologies of harmful phytoextraction biomass (HPB) containing heavy metals: A review.

Phytoextraction is an effective approach for remediation of heavy metal (HM) contaminated soil. After the enhancement of phytoextraction efficiency has been systematically investigated and illustrated, the harmless disposal and value-added use of harmful phytoextraction biomass (HPB) become the major issue to be addressed. Therefore, in recent years, a large number of studies have focused on the disposal technologies for HPB, such as composting, enzyme hydrolysis, hydrothermal conversion, phyto-mining, and pyrolysis. The present review introduces their operation process, reaction parameters, economic/ecological advantages, and especially the migration and transformation behavior of HMs/biomass. Since plenty of plants possess comparable extraction abilities for HMs but with discrepancy constitution of biomass, the phytoextraction process should be combined with the disposal of HPB after harvested in the future, and thus a grading handling strategy for HPB is also presented. Hence, this review is significative for disposing of HPB and popularizing phytoextraction technologies.

Application of radiomics and machine learning in head and neck cancers.

With the continuous development of medical image informatics technology, more and more high-throughput quantitative data could be extracted from digital medical images, which has resulted in a new kind of omics-Radiomics. In recent years, in addition to genomics, proteomics and metabolomics, radiomic has attracted the interest of more and more researchers. Compared to other omics, radiomics can be perfectly integrated with clinical data, even with the pathology and molecular biomarker, so that the study can be closer to the clinical reality and more revealing of the tumor development. Mass data will also be generated in this process. Machine learning, due to its own characteristics, has a unique advantage in processing massive radiomic data. By analyzing mass amounts of data with strong clinical relevance, people can construct models that more accurately reflect tumor development and progression, thereby providing the possibility of personalized and sequential treatment of patients. As one of the cancer types whose treatment and diagnosis rely on imaging examination, radiomics has a very broad application prospect in head and neck cancers (HNC). Until now, there have been some notable results in HNC. In this review, we will introduce the concepts and workflow of radiomics and machine learning and their current applications in head and neck cancers, as well as the directions and applications of artificial intelligence in the treatment and diagnosis of HNC.

Prediction of sublingual immunotherapy efficacy in allergic rhinitis by serum metabolomics analysis.

BACKGROUND: Allergen-specific immunotherapy (ASIT) is currently the only therapy for allergic rhinitis (AR) that can induce immune tolerance to allergens. However, the course of ASIT is long and there is no objective biomarker to predict treatment efficacy. The present study aimed to explore potential biomarkers predictive of efficacy of AIT based on serum metabolomics profiles. METHODS: This prospective study recruited 72 consecutive eligible patients who were assigned to receive sublingual immunotherapy (SLIT). Serum samples were collected prior to SLIT and utilized to obtain metabolomics profiling by applying ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS). Treatment response was determined 3 years after SLIT, and patients were divided into effective group and ineffective group. Orthogonal partial least square-discriminate analysis (OPLS-DA) was performed to evaluate the metabolite differences between two groups. RESULTS: Sixty-eight patients completed the whole SLIT, 39 patients were categorized into effective group and 29 patients were classified into ineffective group. A total of 539 metabolites were obtained, and 197 of which were identified as known substances. Using these 197 known metabolites, the OPLS-DA results showed that effective group and ineffective group exhibited distinctive metabolite signatures and metabolic pathways. Six metabolites including lactic acid, ornithine, linolenic acid, creatinine, arachidonic acid and sphingosine were identified to exhibit good performance in predicting the efficacy of SLIT, and these metabolite changes mainly involved glycolysis and pyruvate metabolism, arginine and proline metabolism and fatty acid metabolism pathways. CONCLUSION: By metabolomics analysis, we identified several serum biomarkers that can reliably and accurately predict the efficacy of SLIT in AR patients. The discriminative metabolites and related metabolic pathways contributed to better understand the mechanisms of SLIT in AR patients.

iDHS-DSAMS: Identifying DNase I hypersensitive sites based on the dinucleotide property matrix and ensemble bagged tree.

DNase I hypersensitive site (DHS) is related to DNA regulatory elements, so the understanding of DHS sites is of great significance for biomedical research. However, traditional experiments are not very good at identifying recombinant sites of a large number of emerging DNA sequences by sequencing. Some machine learning methods have been proposed to identify DHS, but most methods ignore spatial autocorrelation of the DNA sequence. In this paper, we proposed a predictor called iDHS-DSAMS to identify DHS based on the benchmark datasets. We develop a feature extraction method called dinucleotide-based spatial autocorrelation (DSA). Then we use Min-Redundancy-Max-Relevance (mRMR) to remove irrelevant and redundant features and a 100-dimensional feature vector is selected. Finally, we utilize ensemble bagged tree as classifier, which is based on the oversampled datasets using SMOTE. Five-fold cross validation tests on two benchmark datasets indicate that the proposed method outperforms its existing counterparts on the individual accuracy (Acc), Matthews correlation coefficient (MCC), sensitivity (Sn) and specificity (Sp).