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Cardiac troponin I (cTnI), a protein regulating myocardial contraction, stands the premier biomarker for diagnosing acute myocardial infarction and stratifying heart disease risk. Photoelectrochemical (PEC) biosensing combines traditional PEC analysis with high bioconjugation specificity, rendering a prospective avenue for disease biomarker analysis. However, the performance of sensors often falls short due to inadequate photoelectric materials. Hence, designing heterojunctions with proper band alignment, effective transport and separation of photogenerated carriers is highly expected for PEC sensors. Meanwhile, doping as a synergistic strategy to tune the energy band edges and improve carrier transport in heterojunctions, can also enhance the sensing performance. In this work, bismuth-doped tin oxide and tin disulfide heterojunction (Bi-SnOS) was prepared via a simple one-step hydrothermal method and utilized as a highly sensitive platform. Integrating copper sulfide-coated nano-gold (Au@CuS), a yolk-shell shaped nanocomposites, as the double quenching probe, an excellent PEC biosensor was fabricated to assay cTnI via sandwich immunorecognition. Under optimal conditions, the proposed biosensor displayed a high-performance for cTnI in the range from 0.1 pg/mL to 5.0 ng/mL with a low detection limit (44.7 fg/mL, 3σ). The strong photocurrent response, high stability and suitable selectivity point out that the synergistic effect between heterojunction and doping provides a promising prospect for the design of new PEC materials., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Objectives: Gout patients are at high risk of carotid atherosclerosis, which could be convincingly reflected by common carotid artery intima-media thickness (CCAIMT) and carotid plaque. The current study aimed to investigate the prevalence and risk factors of thick CCAIMT and carotid plaque in gout patients., Methods: Comprehensive demographic characteristics, chronic comorbidities, disease features, and biochemical indexes (42 parameters) were obtained from 237 gout patients. CCAIMT and carotid plaque were evaluated by bilateral carotid artery ultrasound in gout patients and 80 healthy controls., Results: The CCAIMT and carotid plaque percentage were increased in gout patients compared to healthy controls (both p<0.001). In detail, the prevalence of thick CCAIMT (>0.9 mm) and carotid plaque was 22.4% and 34.6% in gout patients, respectively. Forward-stepwise multivariate logistic regression model revealed that age (p<0.001, odds ratio (OR)=1.143], disease duration (p=0.001, OR=1.176), alkaline phosphatase (ALP) (p=0.002, OR=1.037), and low-density lipoprotein cholesterol (LDLC) (p=0.039, OR=2.144) were independently associated with elevated thick CCAIMT risk, while serum uric acid (SUA) (p=0.002, OR=0.992) exhibited an opposite trend; their combination well-identified thick CCAIMT risk [area under the curve (AUC)=0.910] by receiver operator characteristic (ROC) curve. Meanwhile, age (p<0001, OR=1.116), tophus (p=0.009, OR=3.523), and triglycerides (TG) (p=0.014, OR=1.323) were independently associated with a higher risk of carotid plaque, while SUA (p=0.008, OR=0.995) showed an opposite trend; their combination also well-identified carotid plaque risk (AUC=0.886) by ROC curve., Conclusions: Thick CCAIMT and carotid plaque are prevalent in gout patients, whose occurrence relates to age, disease duration, ALP, LDLC, SUA, TG, and tophus.

Purpose: To search the low dosage of anti-VEGF best for primary therapies on retinopathy of prematurity (ROP) in terms of success rate., Methods: We searched Medline(Pubmed), Embase, and Cochrane Central Register of Controlled Trials (CENTRAL) databases only for randomized controlled trials that had been reported as of March 3, 2023. We included studies that used bevacizumab, aflibercept and conbercept for ROP with comparable cohorts and treatment criteria. This study was performed according the pre-specified protocol registered with PROSPERO (CRD42021270077) and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis checklist. Those with animal and cell experiments, non-randomized case-control, or single case report were excluded. Frequentist network meta-analyses determined the surface under the cumulative ranking (SUCRA) of the success rate of each dose range group and compared pairs of treatments via STATA 15., Result: Since non-RCT research were excluded, aflflibercept and conbercept studies were excluded. Therefore, only 6 bevacizumab studies were included in final meta-analysis: Inconsistency was not detected in this study via global inconsistent model test, loop inconsistency and local inconsistent model test ( p  > 0.05). In addition, a consistent model test has been passed in this study ( p  > 0.05). Little bias was detected via funnel plot. Since bevacizumab adult standard dose of single-injection is 1.25 mg, the concentration groups were converted according to the proportion of adult standard dose, such as 1/2, [1/5, 1/6.25], [1/10, 1/12.5], [1/19.8, 1/78.1], [1/156.3, 1/625]. The SUCRA of [1/10, 1/12.5] dose group were the best of largest probability to achieve success. However, [1/156.3, 1/625] dose group was the worst dose to achieve success in the five dose groups. The success rate ranking of league chart in this study is that [1/10, 1/12.5] > [1/5, 1/6.25] > 1/2 ≈ [1/19.8, 1/78.1] > [1/156.3, 1/625]., Conclusions: [1/10, 1/12.5] were the best dosage ranges to achieve maximal medicine success. [1/156.3, 1/625] was the worst ineffective in the five dose ranges.

Background: Echocardiographic data investigating the association between left ventricular (LV) function and gout is still limited. Purpose: To analyze the association of echocardiographic parameters based on two-dimentional speckle tracking analysis with clinically related indicators in patients with gout, and to provide a clinical basis for the early diagnosis and treatment of cardiovascular disease in patients with gout. Methods: This study collected gout patients who visited the outpatient and inpatient departments of the first affiliated hospital of chengdu medical college from November 2019 to December 2020. Spearman correlation test was performed to analyze the correlation coefficients between the laboratorial indicators with echocardiographic parameters. And the logistic regression analysis was performed to evaluate the independent effects. Results: The results of multivariate logistic regression showed that fasting plasma glucose (FPG) was a risk factor for the decrease in absolute value of global longitudinal strain [GLS (OR = 2.34; 95% CI, 1.01-5.39; p = 0.04)], Urea was a risk factor for absolute reduction in GCS (OR = 1.40; 95% CI, 1.07-1.85; p = 0.02), age (OR = 1.09, 95% CI, 1.04-1.16; p = 0.001), and hypertension (OR = 8.35; 95% CI, 1.83-38.02; p = 0.006) were risk factors for increased E/Em. High urea levels were significantly related with high risks of LVH (OR = 1.59, 95% CI, 1.04-2.43; p = 0.03) and enlargement of LAVI (OR = 1.68, 95% CI, 1.01-2.80; p = 0.04). Conclusion: Our study found that elevated urea and FPG were risk factors for subclinical LV myocardial dysfunction in patients with gout, which might provide a theoretical basis for the early diagnosis and treatment of heart disease in clinical practice., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Dang, Luo, Hu, Luo, Xu and Liu.)

Objective: To explore the effects of different blood uric acid levels in gout patients on the two-dimensional image of the kidney and the risk factors for gout-related kidney damage for providing clinical evidence to enable early prevention and treatment of gout-related kidney damage., Methods: We obtained information of 227 patients with primary gout and estimated the association between two-dimensional kidney images and clinical indicators using binary logistic regression., Results: Our study showed that different uric acid levels, age, disease course, cystatin C (CysC) level, and γ-glutamyl transpeptidase level were correlated with echo of the renal medulla ( P < 0.05). CysC level was correlated with the renal cortex thickness and kidney stones in different uric acid-level groups ( P < 0.05). Disease course, aspartate transaminase (AST) level, creatinine (CREA) level, and tophi were risk factors for renal cortex thinning in gout patients ( P = 0.045, 0.026, 0.004, 0.006, respectively). The disease course, platelet (PLT) count, and high-density lipoprotein (HDL-C) level were risk factors for kidney stone formation in gout patients ( P = 0.037, 0.022, 0.023, respectively), while CysC level and C-reactive protein (CRP) level were risk factors for increased renal medulla echo in these patients ( P = 0.022, 0.028, respectively)., Conclusion: Our study revealed disease course, AST level, CREA level, tophi, PLT count, HDL-C level, CysC level and CRP level may be important predictors of renal image changes., Competing Interests: The authors report no conflicts of interest in this work., (© 2021 Dang et al.)

Surface soils from 37 sampling sites including roadsides (RS), parks (PA) and residential areas (RE) of the Subtropical City, Guangzhou, were collected in December of 2005 and analyzed for 16 phthalate esters (PAEs). PAEs were detected in all surface soils analyzed, which indicate that PAEs are ubiquitous environmental contaminants. The summation operator(16)PAEs concentrations ranged from 1.67 to 322 microg g(-1)-dry weight (dw), with the median concentration of 17.7 microg g(-1)-dw, mainly originating from municipal solid waste leachate, discarded plastic effusion, municipal sewage and atmospheric depositions. Concentrations of PAEs were poorly correlated with soil organic carbon content, suggesting mixing process between local and on-going sources. Of the 16 PAEs, diisobutyl phthalate (DiBP), di-n-butyl phthalate (DnBP) and di(2-ethylhexyl) phthalate (DEHP) dominated the PAEs, with the median concentrations of 1.63 microg g(-1)-dw, 1.80 microg g(-1)-dw and 14.8 microg g(-1)-dw, respectively, and accounted for 74.2-99.8% of the summation operator(16)PAEs concentrations. Principal Component Analysis (PCA) was applied to the distribution patterns of PAEs in the urban soils. Significant correlations existed among DiBP, DnBP, and DEHP, and between dimethyl phthalate (DMP) and diethyl phthalate (DEP). No significant differences of PAE congeneric profiles were observed between this and studies conducted elsewhere, which is consistent with the application of similar commercial PAEs around the world. As compared to the results from other studies, the urban soils of Guangzhou city were severely contaminated with PAEs. The environmental and human health risks posed by PAEs in the urban soils of Guangzhou city may deserve further attention.

This study reports the first data on the concentrations and distribution of phthalate esters (PAEs) in the agricultural soils from the peri-urban areas of Guangzhou city. Sigma(16)PAEs concentrations ranged from 0.195 to 33.6 microg g(-1)-dry weight (dw). Elevated levels of PAEs were recorded in the vegetable fields located next to the urban districts, and a decreasing trend exists following the distance away from the urban center. Diisobutyl phthalate (DiBP), Di-n-butyl phthalate (DnBP), and Di(2-ethylhexyl) phthalate (DEHP) dominated the PAEs in the agricultural soils. Significant relationship (correlation coefficient R(2)=0.85, p<0.01, n=40) was present between the accumulation of PAEs and total organic carbons in agricultural soils. In addition, both pH and texture of soils are found to be important factors affecting the level of PAEs. This study shows that the agricultural soils in the peri-urban area of Guangzhou city were moderately polluted by PAEs.