Hyaluronic acid-poly(glyceryl)10-stearate nanoemulsion for co-delivery of fish oil and resveratrol: Enhancing bioaccessibility and antioxidant potency.

Hyaluronic acid (HA), an endogenous polysaccharide comprising alternating D-glucuronic acid and N-acetylglucosamine units, is renowned for its high hydrophilicity, biocompatibility, and biodegradability. These attributes have rendered HA invaluable across medical and drug delivery fields. HA can be altered through physical, chemical, or enzymatic methods to improve the properties of the modified substances. In this work, we synthesized a derivative via the esterification of HA with poly(glyceryl)10-stearate (PG10-C18), designated as HA-PG10-C18. This novel derivative was employed to fabricate a nano co-delivery system (HA-PG10-C18@Res-NE) for fish oil and resveratrol (Res), aiming to enhance their stability and bioaccessibility. An exhaustive investigation of HA-PG10-C18@Res-NE revealed that the HA-modified system displayed superior physicochemical stability, notably in withstanding oxidation and neutralizing free radicals. Moreover, in vitro simulated digestion underscored the system's enhanced bioaccessibility of Res and more efficient release of free fatty acids. These outcomes underscore the strategic advantage of HA in modifying PG10-C18 for nanoemulsion formulation. Consequently, HA-PG10-C18 stands as a promising emulsifier for encapsulating lipophilic bioactives in functional foods, nutraceuticals, and pharmaceuticals.

Multitask deep learning for prediction of microvascular invasion and recurrence-free survival in hepatocellular carcinoma based on MRI images.

BACKGROUND AND AIMS: Accurate preoperative prediction of microvascular invasion (MVI) and recurrence-free survival (RFS) is vital for personalised hepatocellular carcinoma (HCC) management. We developed a multitask deep learning model to predict MVI and RFS using preoperative MRI scans. METHODS: Utilising a retrospective dataset of 725 HCC patients from seven institutions, we developed and validated a multitask deep learning model focused on predicting MVI and RFS. The model employs a transformer architecture to extract critical features from preoperative MRI scans. It was trained on a set of 234 patients and internally validated on a set of 58 patients. External validation was performed using three independent sets (n = 212, 111, 110). RESULTS: The multitask deep learning model yielded high MVI prediction accuracy, with AUC values of 0.918 for the training set and 0.800 for the internal test set. In external test sets, AUC values were 0.837, 0.815 and 0.800. Radiologists' sensitivity and inter-rater agreement for MVI prediction improved significantly when integrated with the model. For RFS, the model achieved C-index values of 0.763 in the training set and ranged between 0.628 and 0.728 in external test sets. Notably, PA-TACE improved RFS only in patients predicted to have high MVI risk and low survival scores (p < .001). CONCLUSIONS: Our deep learning model allows accurate MVI and survival prediction in HCC patients. Prospective studies are warranted to assess the clinical utility of this model in guiding personalised treatment in conjunction with clinical criteria.

Demethylases in tumors and the tumor microenvironment: Key modifiers of N6-methyladenosine methylation.

RNA methylation modifications are widespread in eukaryotes and prokaryotes, with N6-methyladenosine (m6A) the most common among them. Demethylases, including Fat mass and obesity associated gene (FTO) and AlkB homolog 5 (ALKBH5), are important in maintaining the balance between RNA methylation and demethylation. Recent studies have clearly shown that demethylases affect the biological functions of tumors by regulating their m6A levels. However, their effects are complicated, and even opposite results have appeared in different articles. Here, we summarize the complex regulatory networks of demethylases, including the most important and common pathways, to clarify the role of demethylases in tumors. In addition, we describe the relationships between demethylases and the tumor microenvironment, and introduce their regulatory mechanisms. Finally, we discuss evaluation of demethylases for tumor diagnosis and prognosis, as well as the clinical application of demethylase inhibitors, providing a strong basis for their large-scale clinical application in the future.

Clinical characteristics and influencing factors of severe fever with thrombocytopenia syndrome complicated by viral myocarditis: a retrospective study.

OBJECTIVE: This study aimed to investigate the clinical characteristics of severe fever with thrombocytopenia syndrome complicated by viral myocarditis (SFTS-VM) and analyze relevant influencing factors. METHODS: Retrospective analysis was conducted on clinical data from 79 SFTS-VM patients, categorized into common (SFTS-CVM, n = 40) and severe groups (SFTS-SVM, n = 39). Clinical manifestations, laboratory results, cardiac ultrasonography, and electrocardiogram features were analyzed. Univariate and multivariate analyses identified significant indicators, which were further assessed using ROC curves to predict SFTS-SVM. RESULTS: SFTS-SVM group exhibited higher rates of hypotension, shock, abdominal pain, cough with sputum, and consciousness disorders compared to SFTS-CVM group. Laboratory findings showed elevated platelet count, ALT, AST, amylase, lipase, LDH, D-dimer, procalcitonin, TNI, and NT-proBNP in SFTS-SVM. Abnormal electrocardiograms, especially atrial fibrillation, were more prevalent in SFTS-SVM (P < 0.05). Multivariate analysis identified elevated LDH upon admission (OR = 1.004, 95% CI: 1-1.008, P = 0.050), elevated NT-proBNP (OR = 1.005, 95% CI: 1.001-1.008, P = 0.007), and consciousness disorders (OR = 112.852, 95% CI: 3.676 ~ 3464.292, P = 0.007) as independent risk factors for SFTS-SVM. LDH and NT-proBNP had AUCs of 0.728 and 0.744, respectively, in predicting SFTS-SVM. Critical values of LDH (> 978.5U/L) and NT-proBNP (> 857.5pg/ml)) indicated increased likelihood of SFTS progression into SVM. CONCLUSION: Elevated LDH, NT-proBNP, and consciousness disorders independently correlate with SFTS-SVM. LDH and NT-proBNP can aid in early identification of SFTS-SVM development when above specified thresholds.

Systemic inflammatory response syndrome in patients with severe fever with thrombocytopenia syndrome: prevalence, characteristics, and impact on prognosis.

BACKGROUND: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging zoonosis with a high fatality rate in China. Previous studies have reported that dysregulated inflammatory response is associated with disease pathogenesis and mortality in patients with SFTS. This investigation aimed to evaluate the prevalence and characteristics of systemic inflammatory response syndrome (SIRS), and its impact on prognosis. METHODS: Data on demographic characteristics, comorbid conditions, clinical manifestations, laboratory parameters, and survival time of patients with SFTS were collected. Patients were divided into the non-SIRS and SIRS groups according to the presence of SIRS, then their clinical data were compared. RESULTS: A total of 290 patients diagnosed with SFTS were retrospectively enrolled, including 126(43.4%) patients with SIRS. Patients in the non-survivor group had more prevalence of SIRS than patients in the survivor group (P < 0.001), and SIRS (adjusted OR 2.885, 95% CI 1.226-6.786; P = 0.005) was shown as an independent risk factor for prognosis of patients with SFTS. Compared with patients without SIRS, patients with SIRS had lower WBC and neutrophils counts, and fibrinogen levels, but higher AST, LDH, amylase, lipase, CK, CK-MB, troponin I, APTT, thrombin time, D-dimer, CRP, IL-6, SAA levels, and viral load. The cumulative survival rate of patients with SIRS was significantly lower than that of patients without SIRS. Patients with SIRS also showed a higher incidence of bacterial or fungal infections than patients without SIRS. CONCLUSIONS: SIRS is highly frequent in patients with SFTS, and it is associated with high mortality.

Myocardial tissue remodeling in early adult obesity and its association with regional adipose tissue distribution and ectopic fat deposits: a prospective study.

OBJECTIVES: To evaluate the left ventricular (LV) myocardial tissue characteristics in early adult obesity and its association with regional adipose tissue and ectopic fat deposition. METHODS: Forty-nine obese adults (mean body mass index: 29.9 ± 2.0 kg/m2) and 44 healthy controls were prospectively studied. LV native and post-contrast T1 values, extracellular volume fraction (ECV), regional adipose tissue (epicardial, visceral, and subcutaneous adipose tissue (EAT, VAT, and SAT)), and ectopic fat deposition (hepatic and pancreatic proton density fat fractions (H-PDFF and P-PDFF)) based on magnetic resonance imaging were compared. The association was assessed by multivariable linear regression. RESULTS: The obese participants showed reduced global ECV compared to the healthy controls (p < 0.05), but there was no significant difference in global native or post-contrast T1 values between the two groups. Additionally, the obese individuals exhibited higher EAT, VAT, SAT, H-PDFF, and P-PDFF than the controls (p < 0.05). ECV was associated with insulin resistance, dyslipidemia, and systolic blood pressure (SBP) (p < 0.05). Multiple linear regression demonstrated that H-PDFF and SAT were independently associated with ECV in entire population (ß = - 0.123 and - 0.012; p < 0.05). CONCLUSIONS: Reduced myocardial ECV in patients with mild-to-moderate obesity and its relationship to SBP may indicate that cardiomyocyte hypertrophy, rather than extracellular matrix expansion, is primarily responsible for myocardial tissue remodeling in early adult obesity. Our findings further imply that H-PDFF and SAT are linked with LV myocardial tissue remodeling in this cohort beyond the growth difference and cardiovascular risk factors. CLINICAL TRIALS REGISTRATION: Effect of lifestyle intervention on metabolism of obese patients based on smart phone software (ChiCTR1900026476). CLINICAL RELEVANCE STATEMENT: Myocardial fibrosis in severe obesity predicts poor prognosis. We showed that cardiomyocyte hypertrophy, not myocardial fibrosis, is the main myocardial tissue characteristic of early obesity. This finding raises the possibility that medical interventions, like weight loss, may prevent cardiac fibrosis. KEY POINTS: • Myocardial tissue characteristics in early adult obesity are unclear. • Myocardial extracellular volume fraction (ECV) can be quantitatively evaluated using T1 mapping based on cardiac magnetic resonance imaging (MRI). • Cardiac MRI-derived ECV may noninvasively evaluate myocardial tissue remodeling in early adult obesity.

Analysis of factors influencing elevated blood pressure and overweight/obesity and their comorbidities among Tibetan middle school students in Lhasa City / 中国学校卫生

Objective@#To explore the prevalence of elevated blood pressure and overweight/obesity and their comorbidities among Tibetan middle school students in Lhasa, and to analyze their association with lifestyle and other factors, so as to provide a basis for the intervention measures targeting elevated blood pressure, overweight and obesity among middle school students in high altitude area.@*Methods@#Using a stratified cluster random sampling method in September 2021, a total of 1 488 Tibetan junior and high students from Lhasa City were investigated with blood pressure measurement, physical examination and questionnaire survey. The influencing factors of elevated blood pressure, overweight and obesity and their comorbidities association were analyzed by multivariate Logistic regression.@*Results@#The prevalence of elevated blood pressure, overweight/obesity and their comorbidities were 17.8%, 17.4% , 5.0% respectively. Multivariate Logistic regression analysis showed that age( OR =0.81), residence, body mass inex(BMI) and gender were the influencing factors of elevated blood pressure; and the risks of elevated blood pressure in female students were higher than male students ( OR =1.89), suburban students were higher than urban students ( OR =8.06), overweight and obesity groups were higher than normal groups ( OR =2.55, 2.87) ( P <0.05). Adjusting for confounding factors such as gender, residence and school, and BMI (only for elevated blood pressure), daily screen time ≥2 h was positively correlated with elevated blood pressure, overweight/obesity and its comorbidities ( OR =1.56, 1.59 , 2.51) ( P <0.05).@*Conclusions@#The prevalence of elevated blood pressure, overweight/obesity are relatively high in Lhasa. Longer screen time is a common factor affecting with elevated blood pressure, overweight/obesity and comorbidities among Tibetan students. Measures should be taken intervene in the lifestyle of Tibetan students, in order to reduce elevated blood pressure and overweight/obesity.

Prevalence and clinical characteristics of increased pancreatic enzymes in patients with severe fever with thrombocytopenia syndrome.

BACKGROUND AND AIM: The increased pancreatic enzymes have recently been reported in patients with severe fever with thrombocytopenia syndrome (SFTS). However, its significance has not been elucidated clearly. The aim of this study was to explore the prevalence, clinical characteristics of elevated pancreatic enzymes (amylase and lipase) and its association with AP in patients with SFTS. METHODS: Data of demographics, comorbid conditions, clinical symptoms, laboratory parameters and survival time of patients with SFTS were collected. Patients were assigned into the non-AP and AP groups according to the diagnostic criteria of AP. Patients in the non-AP group were divided into the normal (3×ULN) groups according to the serum amylase and lipase levels, and then their clinical data were compared. RESULTS: A total of 284 patients diagnosed with SFTS were retrospectively enrolled, including 248 patients in the non-AP group and 36 patients in the AP group. Patients in the non-AP group were composed of 48, 116 and 84 patients in the normal, EPE and HPE groups, respectively. Compared with patients in the normal and EPE groups, patients in the HPE group had higher serum levels of laboratory parameters referring to liver, kidney, heart and coagulation system injury, as well as higher viral load. The cumulative survival rate of patients in the HPE group was significantly lower than that of patients in the normal group. In addition, patients in the AP group also had higher serum levels of laboratory variables reflecting liver, heart, coagulation dysfunction and viral load than patients in the HPE group. The cumulative survival rate of patients in the AP group was significantly lower than that of patients in the HPE group. CONCLUSION: The increased pancreatic enzymes are very common in patients with SFTS, but they are not always associated with AP. Though AP accounts for the majority of deaths for patients with elevated pancreatic enzymes, patients with pancreatic enzymes >3×ULN except for AP also have a high in-hospital mortality rate.

Clinical characteristics and outcomes of acute kidney injury in patients with severe fever with thrombocytopenia syndrome.

Background: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging zoonosis caused by a novel bunyavirus. Until recently, the SFTS related acute kidney injury (AKI) was largely unexplored. This study aimed to investigate the clinical characteristics and outcomes of AKI in patients with SFTS. Methods: The non-AKI and AKI groups were compared in terms of general characteristics, clinical features, laboratory parameters and cumulative survival rate. The independent risk factors for in-hospital mortality in patients with SFTS were analyzed by multivariate logistic regression to identify the population with poor prognosis. Results: A total of 208 consecutive patients diagnosed with SFTS were enrolled, including 153 (73.6%) patients in the non-AKI group and 55 (26.4%) patients in the AKI group. Compared with patients without AKI, patients with AKI were older and had a higher frequency of diabetes. Among these laboratory parameters, platelet count, albumin and fibrinogen levels of patients with AKI were identified to be significantly lower than those of patients without AKI, while ALT, AST, ALP, triglyceride, LDH, BUN, uric acid, creatine, Cys-C, ß2-MG, potassium, AMY, lipase, CK-MB, TnI, BNP, APTT, thrombin time, D-dimer, CRP, IL-6, PCT and ESR levels were significantly higher in patients with AKI. A higher SFTS viral load was also detected in the AKI patients than in the non-AKI patients. The cumulative survival rates of patients at AKI stage 2 or 3 were significantly lower than those of patients without AKI or at AKI stage 1. However, there was no significant difference in the cumulative survival rates between patients without AKI and those with stage 1 AKI. Univariate and multivariate binary logistic regression analyses demonstrated that stage 2 or 3 AKI was an independent risk factor for in-hospital mortality in patients with SFTS. Conclusion: AKI is associated with poor outcomes in patients with SFTS, especially patients at AKI stage 2 or 3, who generally have high mortality. Our findings support the importance of early identification and timely treatment of AKI in patients with SFTS.

The safety and efficacy of PD-1 inhibitors in patients with advanced cancers and HIV/AIDS in China.

Purpose-Immunotherapy has revolutionized cancer therapy, becoming the standard of care for various malignancy treatments. Human immunodeficiency virus (HIV) patients, however, are an underserved group with limited access to clinical trials and cancer therapy. This study was to evaluate the safety and efficacy of programmed cell death 1 (PD - 1) inhibitors in patients with advanced cancer and HIV/acquired immunodeficiency syndrome (AIDS). Methods and Materials-We performed a prospective, open-label, nonrandomized, phase 1 single center study. Patients with advanced cancer and HIV/AIDS received the treatment of PD - 1 inhibitors (camrelizumab, 200 mg, administered intravenously every 3 weeks), along with combination antiretroviral therapy (cART) for HIV. Results-Sixteen participants (12 men and 4 women; median age, 46.5 (29 - 78) years) were enrolled; 1 had non - Hodgkin lymphoma (NHL), and 15 had non - AIDS - defining cancers. Safety was observed over 130 cycles of treatment with camrelizumab. Most treatment-emergent adverse events at least possibly attributed to camrelizumab were grade 1 or 2, including reactive cutaneous capillary endothelial proliferation (RCCEP) (9 participants), hearing loss (1 participant), hypophysitis (1 participant). 3 participants experienced hemorrhage due to poor performance status. HIV was controlled in all participants. Best tumor responses included 3 complete response, 5 partial response, 2 stable disease, and 6 progressive disease. The 2 years progression-free survival (PFS) was 67.0% (95% CI: -0.05, 0.00) and overall survival (OS) was 55.3% (95% CI: -0.05, 0.01) for the 16 patients who had received camrelizumab. Conclusions-This study demonstrates that camrelizumab treatment in patients with advanced cancers and HIV/AIDS was feasible and the clinical outcomes were acceptable.

Knockout of SlbZIP68 reduces late blight resistance in tomato.

Tomato (Solanum lycopersicum) is one of the most widely cultivated vegetable crop species in the world. Tomato late blight caused by Phytophthora infestans is a severe disease, which can cause serious losses in tomato production. In this study, tomato SlbZIP68 was identified as a transcription factor that can be induced by P. infestans, salicylic acid (SA) and jasmonic acid (JA). Knockout of SlbZIP68 via clustered, regularly interspaced, short palindromic repeats (CRISPR)/CRISPR-associated 9 (Cas9) technology revealed a significant decrease in tomato resistance to P. infestans. Furthermore, knockout of SlbZIP68 reduced the activity of defense enzymes and increased the accumulation of reactive oxygen species (ROS). Our findings also indicated that SlbZIP68 can activate the expression of the PR genes and enhance resistance to P. infestans. In addition, SlbZIP68 can bind to the PR3 and PR5 promoters and induce gene expression, as revealed by yeast one-hybrid (Y1H) and dual-luciferase (LUC) assays. These findings not only elucidate the mechanisms of response to P. infestans but also enable targeted breeding strategies for tomato resistance to P. infestans.

Acupuncture on GB34 for immediate analgesia and regulating pain-related anxiety for patients with biliary colic: a protocol of randomized controlled trial.

BACKGROUND: Biliary colic (BC) is a frequent hepatobiliary disorder encountered in emergency departments. Acupuncture may be effective as an alternative and complementary medicine for BC. Nonetheless, rigorous trials investigating its efficacy are lacking. Therefore, the aim of this study protocol is to determine whether acupuncture provides immediate relief of pain and associated symptoms in BC patients. METHOD: Eighty-six participants who aged from 18 to 60 years with BC will be recruited in the First People's Hospital of Longquanyi District, Chengdu (West China Longquan Hospital Sichuan University). All participants will be allocated into two treatment groups including acupuncture group and sham acupuncture group using a 1:1 ratio. Each group will only receive a single 30-min needle treatment while waiting for their test results after completing the routine examination for BC. The primary outcome of the study is to assess the change in pain intensity after the 30-min acupuncture treatment. The secondary outcomes of the study include the change in pain intensity at various time points, the degree of gastrointestinal symptoms at different time points, the level of anxiety experienced during pain episodes at different time points, the score of Pain Anxiety Symptoms Scale-20 (PASS-20), the score of Fear of Pain Questionnaire-III (FPQ-III), and the score of Pain Catastrophizing Scale (PCS), among others. DISCUSSION: The results of this research will provide substantial evidence regarding the efficacy of acupuncture in alleviating symptoms associated with BC. TRIAL REGISTRATION: ClinicalTrials.gov, ChiCTR2300070661. Registered on 19 April 2023.

Feasibility of using software-aided selection of virtual monoenergetic level for optimal image quality of acute necrotising pancreatitis based on dual-energy computed tomography: a preliminary study.

OBJECTIVE: This study aimed to assess the feasibility of software-aided selection of monoenergetic level for acute necrotising pancreatitis (ANP) depiction compared to other automatic image series generated using dual-energy computed tomography (CT). METHODS: The contrast-enhanced dual-source dual-energy CT images in the portal venous phase of 48 patients with ANP were retrospectively analysed. Contrast-to-noise ratio (CNR) of pancreatic parenchyma-to-necrosis, signal-to-noise ratio (SNR) of the pancreas, image noise, and score of subjective diagnosis were measured, calculated, and compared among the CT images of 100 kV, Sn140 kV, weighted-average 120 kV, and optimal single-energy level for CNR. RESULTS: CNR of pancreatic parenchyma-to-necrosis in the images of 100 kV, Sn140 kV, weighted-average 120 kV, and the optimal single-energy level for CNR was 5.18 ± 2.39, 3.13 ± 1.35, 5.69 ± 2.35, and 9.99 ± 5.86, respectively; SNR of the pancreas in each group was 6.31 ± 2.77, 4.27 ± 1.56, 7.21 ± 2.69, and 11.83 ± 6.30, respectively; image noise in each group was 18.78 ± 5.20, 17.79 ± 4.63, 13.28 ± 3.13, and 9.31 ± 2.96, respectively; and score of subjective diagnosis in each group was 3.56 ± 0.50, 3.00 ± 0.55, 3.48 ± 0.55, and 3.88 ± 0.33, respectively. The four measurements of the optimal single-energy level for CNR images were significantly different from those of images in the other three groups (P < 0.05). CNR of pancreatic parenchyma-to-necrosis, SNR of the pancreas, and score of subjective diagnosis in the images of the optimal single-energy level for CNR were significantly higher, while the image noise was lower than those in the other three groups (all P = 0.000). CONCLUSION: Optimal single-energy level imaging for CNR of dual-source CT could improve quality of CT images in patients with ANP, enhancing the display of necrosis in the pancreas.

Echo time optimization for in-vivo measurement of unsaturated lipid resonances using J-difference-edited MRS.

PURPOSE: Measuring lipid composition provides more information than just total lipid content. Hence, the non-invasive measurement of unsaturated lipid protons with both high efficiency and precision is of pressing need. This study was to optimize echo time (TE) for the best resolving of J-difference editing of unsaturated lipid resonances. METHODS: The TE dependence of J-difference-edited (JDE) MRS was verified in the density-matrix simulation, soybean oil phantom, in-vivo experiments of white adipose tissue (WAT), and skeletal muscles using single-voxel MEGA-PRESS sequence at 3T. The peak SNRs and Cramér-Rao lower bounds (CRLBs) acquired at the proposed TE of 45 ms and previously published TE of 70 ms were compared (eight pairs) in WAT, extramyocelluar lipids (EMCLs), and intramyocellular lipids (IMCLs). The lipid composition in skeletal muscles was compared between healthy males (n = 7) and females (n = 7). RESULTS: The optimal TE was suggested as 45 ms. Compared to 70 ms, the mean signal gains at TE of 45 ms were 151% in WAT, 168% in EMCL, 204% in IMCL for allylic resonance, and 52% in EMCL for diallylic resonance. CRLBs were significantly reduced at TE of 45 ms in WAT, EMCL, IMCL for allylic resonance and in EMCL for diallylic resonance. With TE of 45 ms, significant gender differences were found in the lipid composition in EMCL pools, while no difference in IMCL pools. CONCLUSION: The JDE-MRS protocol with TE of 45 ms allows improved quantification of unsaturated lipid resonances in vivo and future lipid metabolism investigations.

Utilizing biochar to decorate nanoscale FeS for the highly effective decontamination of Se(IV) from simulated wastewater.

Selenium (Se) as an essential nutrient for human beings at trace concentrations, the allowable concentration for the human is only 40 µg/L. Iron sulfide (FeS) nanoparticles have been applied for excessive of selenium (Se) remediation in surface water and groundwater. In this study, FeS nanoparticles were anchored onto biochar (BC) to reduce agglomeration of FeS and prepared into the composite of FeS-BC by pyrolysis to economically and efficiently remove Se(IV) from simulated wastewater based on the excellent performance of FeS and the low cost of BC. Characterizations presented the uniform anchorage of FeS on the BC surface to prevent agglomeration. The results of batch experiments revealed that the removal of Se(IV) by FeS-BC nanomaterials significantly depended on the pH value, with the maximum removal of ∼174.96 mg/g at pH 3.0. A pseudo-second-order kinetic model well reflected the kinetic removal of Se(IV) in pure Se(IV) solution with different concentration, as well as the coexistence of K+, Ca2+, Cl-, and SO42- ions. The presence of K+ ions significantly inhibited the removal of Se(IV) with the increase of K+ ion concentration compared with the effect of the other three ions. SEM-EDS and XPS analyses indicated that the removal process was achieved through adsorption by surface complexation, and reductive precipitation of Se(IV) into Se0 with the electron donor of Fe(II) and S(-II) ions. The FeS-BC nanomaterial exhibited an excellent application prospect in the remediation of Se(IV).

Corrigendum: Three-stage fermentation of the feed and the application on weaned piglets.

[This corrects the article DOI: 10.3389/fvets.2023.1123563.].

Photon Counting CT: Technical Principles, Clinical Applications, and Future Prospects.

Photon-counting computed tomography (PCCT) is a new technique that utilizes photon-counting detectors to convert individual X-ray photons directly into an electrical signal, which can achieve higher spatial resolution, improved iodine signal, radiation dose reduction, artifact reduction, and multienergy imaging. This review introduces the technical principles of PCCT, and summarizes its first-in-human experience and current applications in clinical settings, and discusses the future prospects of PCCT.

The effects of ART on the dynamics of lipid profiles in Chinese Han HIV-infected patients: comparison between NRTI/NNRTI and NRTI/INSTI.

Introduction: This article aimed to compare the prevalence of dyslipidemia and determine risk factors associated with lipid levels in a cohort of HIV-infected patients receiving two different antiretroviral therapy (ART) regimens, nucleoside reverse transcriptase inhibitor/non-nucleoside reverse transcriptase inhibitor (NRTI/NNRTI) and nucleoside reverse transcriptase inhibitor/integrase strand transfer inhibitor (NRTI/INSTI). Methods: This longitudinal study analyzed 633 HIV-infected patients with complete blood lipid profile records for at least 1 year at the ART clinic of Zhongnan Hospital of Wuhan University, China, from June 2018 to March 2021. Demographic and clinical data, including age, gender, body weight, height, current/former/non-smoker, current drinker, diabetes mellitus, hypertension, were extracted from electronic medical records. Laboratory tests included hematology, total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), Lipoprotein(a) and CD4 cell count. The observation duration of this study was a maximum of 33 months. Data comparisons were performed using the Chi-square test, Student's t-test and Mann-Whitney U test. Generalized linear mixed-effects model (GLMM) and value of p < 0.05 were used to determine factors associated with serum lipid profiles. Results: In this study, the effect of the NNRTIs group on the lipid profile over time was mainly an increase in TC and HDL-C, while a decrease in TC/HDL-C and LDL/HDL-C. However, the INSTIs group had higher mean TC and lower HDL-C compared to the NNRTIs group, with significantly increased levels of TC, TG, HDL-C, and LDL-C. In the analysis of dyslipidemia rates, there were significant differences in the prevalence of abnormal TG and TC/HDL-C in HIV-infected patients receiving two different ART regimen groups during different follow-up periods. Dyslipidemia, defined as hypercholesterolemia, hypertriglyceridemia, and low HDL-C, was more prevalent in the INSTIs group, with a higher risk of developing hypertriglyceridemia and a higher TC/HDL-C ratio compared to the NNRTIs group. GLMM analysis suggested significantly higher TG values in the INSTIs group (estimated 0.36[0.10, 0.63], SE 0.14, p = 0.008) compared to the NNRTIs group, even after adjusting for other covariates. In addition, GLMM analysis also showed that age, gender, BMI, CD4 count, and ART duration were associated with dyslipidemia. Conclusion: In conclusion, treatment with both commonly-used ART regimens can increase the mean values of lipid profiles and the risk of dyslipidemia. The findings indicated that TG values were significantly higher in the INSTIs group than in HIV-infected patients receiving the NNRTIs regimens. Longitudinal TG values are independently associated with the clinical types of ART regimens.Clinical Trial Number: ChiCTR2200059861.

Metafeature Selection via Multivariate Sparse-Group Lasso Learning for Automatic Hyperparameter Configuration Recommendation.

The performance of classification algorithms is mainly governed by the hyperparameter settings deployed in applications, and the search for desirable hyperparameter configurations usually is quite challenging due to the complexity of datasets. Metafeatures are a group of measures that characterize the underlying dataset from various aspects, and the corresponding recommendation algorithm fully relies on the appropriate selection of metafeatures. Metalearning (MtL), aiming to improve the learning algorithm itself, requires development in integrating features, models, and algorithm learning to accomplish its goal. In this article, we develop a multivariate sparse-group Lasso (SGLasso) model embedded with MtL capacity in recommending suitable configurations via learning. The main idea is to select the principal metafeatures by removing those redundant or irregular ones, promoting both efficiency and performance in the hyperparameter configuration recommendation. To be specific, we first extract the metafeatures and classification performance of a set of configurations from the collection of historical datasets, and then, a metaregression task is established through SGLasso to capture the main characteristics of the underlying relationship between metafeatures and historical performance. For a new dataset, the classification performance of configurations can be estimated through the selected metafeatures so that the configuration with the highest predictive performance in terms of the new dataset can be generated. Furthermore, a general MtL architecture combined with our model is developed. Extensive experiments are conducted on 136 UCI datasets, demonstrating the effectiveness of the proposed approach. The empirical results on the well-known SVM show that our model can effectively recommend suitable configurations and outperform the existing MtL-based methods and the well-known search-based algorithms, such as random search, Bayesian optimization, and Hyperband.

Association of abdominal adiposity, hepatic shear stiffness with subclinical left-ventricular remodeling evaluated by magnetic resonance in adults free of overt cardiovascular diseases: a prospective study.

BACKGROUND: Abdominal ectopic fat deposition and excess visceral fat depots in obesity may be related to cardiovascular disease (CVD) as both are involved in the metabolic syndrome (MetS). The awareness of the link between abdominal adiposity and subclinical cardiac remodeling would help improve treatment and outcome. Besides, liver fibrosis has also shown a potential relationship with cardiac dysfunction. Thus, we aimed to investigate the associations of magnetic resonance (MR)-based abdominal adiposity and hepatic shear stiffness with subclinical left ventricular (LV) remodeling while taking account of MetS-related confounders in adults free of overt CVD. METHODS: This was an exploratory, prospective study of 88 adults (46 subjects with obesity, 42 healthy controls) who underwent 3 T cardiac and body MR exams. Measures of abdominal MR included hepatic and pancreatic proton density fat fraction (H-PDFF and P-PDFF), hepatic shear stiffness by MR elastography, and subcutaneous and visceral adipose tissue (SAT and VAT). Cardiac measures included epicardial adipose tissue (EAT) and parameters of LV geometry and function. Associations were assessed using Pearson correlation and multivariable linear regression analyses, in which age, sex, and MetS-related confounders were adjusted for. RESULTS: The LV ejection fractions of all participants were within the normal range. Higher H-PDFF, P-PDFF, SAT and VAT were independently associated with lower LV global myocardial strain parameters (radial, circumferential and longitudinal peak strain [PS], longitudinal peak systolic strain rate and diastolic strain rate) (ß = - 0.001 to - 0.41, p < 0.05), and P-PDFF, SAT and VAT were independently and positively associated with LV end-diastolic volume and stroke volume (ß = 0.09 to 3.08, p ≤ 0.02) in the over-all cohort. In the obesity subgroup, higher P-PDFF and VAT were independently associated with lower circumferential and longitudinal PS, respectively (ß = - 0.29 to - 0.05, p ≤ 0.01). No independent correlation between hepatic shear stiffness and EAT or LV remodeling was found (all p ≥ 0.05). CONCLUSIONS: Ectopic fat depositions in the liver and pancreas, and excess abdominal adipose tissue pose a risk of subclinical LV remodeling beyond MetS-related CVD risk factors in adults without overt CVD. VAT may play a more considerable role as a risk factor for subclinical LV dysfunction than does SAT in individuals with obesity. The underlying mechanisms of these associations and their longitudinal clinical implications need further investigation.