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1.
Anal Chim Acta ; 1191: 339296, 2022 Jan 25.
Artigo em Inglês | MEDLINE | ID: mdl-35033255

RESUMO

We report non-invasive discrimination of multiple myeloma (MM) using label-free serum surface-enhanced Raman scattering (SERS) spectroscopy in combination with multivariate analysis. Colloidal silver nano-particles (AgNPs) were used as the SERS substrate. High quality serum SERS spectra were obtained from 53 MM patients and 44 healthy controls (HCs). The SERS spectral differences demonstrated variation of relative concentrations of biomolecules in the serum of MM patients in comparison to HCs. Multivariate analysis methods, including principal component analysis (PCA), linear discriminant analysis (LDA), and support vector machine (SVM), were used to build discrimination models for MM. Leave-one-out cross-validation (LOOCV) was used to evaluate the performances of the models, in terms of accuracy, sensitivity, specificity, and area under the receiver operating characteristic curves (AUC). Using the SVM model, the accuracy for discrimination of MM was achieved as 78.4%, and the corresponding sensitivity, specificity, and AUC values were 0.830, 0.727, and 0.840, respectively. The results show that the serum SERS in combination with multivariate analysis could be a fast, non-invasive, and cost-effective technique for discrimination of MM.


Assuntos
Nanopartículas Metálicas , Mieloma Múltiplo , Análise Discriminante , Humanos , Mieloma Múltiplo/diagnóstico , Análise Multivariada , Análise de Componente Principal , Análise Espectral Raman
2.
Clin Lab ; 68(1)2022 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-35023680

RESUMO

BACKGROUND: Acute lymphoblastic leukemia (ALL) is the most common cancer in children. Abnormal expression of structural maintenance of chromosomes (SMC) 4 has been observed in multiple tumors and plays a vital role in cancer development. However, the association between SMC4 expression and clinical characteristics in Chinese childhood patients with ALL is unknown. Thus, this study aimed to investigate the relationship between SMC4 expression and clinical features and prognosis in these patients. METHODS: Real-time quantitative polymerase chain reaction (PCR) was performed to detect the expression of SMC4 in Chinese pediatric ALL patients and in patients achieving complete remission (CR). Then, the relationships between SMC4 expression and clinical features, such as gender, age, white blood cell (WBC) count, French-American-British (FAB) classification, immunophenotype, fusion gene, prednisone response, and minimal residual disease (MRD) were determined. Furthermore, survival and prognostic factor analyses were carried out to examine the prognostic value of SMC4 expression. RESULTS: The expression level of SMC4 was significantly higher in bone morrow cells of newly diagnosed pediatric ALL patients than in those of healthy controls (p = 0.006), especially in B-cell precursor ALL (BCP ALL). Moreover, SMC4 expression was correlated with different clinical parameters. Furthermore, a decrease of SMC4 expression was detected in BCP ALL patients achieving CR. The high SMC4 expression group had both worse event-free survival rate and poorer overall survival rate. However, multivariate analysis showed that SMC4 expression was not an independently predictive factor of BCP ALL outcome. CONCLUSIONS: These results revealed that SMC4 expression in BM was associated with various clinical outcomes in pediatric patients with ALL, although it was not an independent outcome factor.


Assuntos
Leucemia-Linfoma Linfoblástico de Células Precursoras , Criança , Cromossomos , Humanos , Neoplasia Residual/genética , Leucemia-Linfoma Linfoblástico de Células Precursoras/diagnóstico , Leucemia-Linfoma Linfoblástico de Células Precursoras/genética , Prognóstico , Indução de Remissão
3.
Mater Sci Eng C Mater Biol Appl ; : 112650, 2022 Jan 08.
Artigo em Inglês | MEDLINE | ID: mdl-35034822

RESUMO

Currently, there is an increasing clinical demand for implants that effectively resist bacterial infections while promoting osseointegration. In this study, the fusion peptide technology was used to linearly fuse the antimicrobial peptide (AMP, HHC36) and the bone-promoting peptide (RGD), so that the titanium (Ti)-based implant modified by the polypeptide had the dual function of "antibacterial-promoting bone". Firstly, self-organized vertically-oriented strontium-doped titanium dioxide nanotubes (STN) were manufactured by anodizing and hydrothermal synthesis methods. Secondly, the fusion peptide (HHC36-RGD) was loaded into the tubular structure by a simple vacuum-assisted physical adsorption method. Finally, STN loaded with HHC36-RGD (H-R-STN) was obtained. The characterization results demonstrated that the surface of the H-R-STN had a roughness and hydrophilicity that promoted cell adhesion. Additionally, electrochemical tests showed that H-R-STN coating can reduce the corrosion rate of pure Ti. The fusion peptide and Sr2+ in H-R-STN were released in the initial fast and subsequent slow kinetic model. Expected, H-R-STN can kill more than 99% of clinically common pathogenic bacteria (Staphylococcus aureus and Escherichia coli), and significantly inhibit the formation of bacterial biofilms. Simultaneously, under the synergistic effect of RGD in the fusion peptide and strontium in STN, H-R-STN markedly promoted the adhesion and proliferation of mouse osteoblasts, and significantly promoted osteogenic markers (alkaline phosphatase, runt-related transcription, collagen, mineralization) expression. In summary, the bifunctional titanium-based implant constructed by H-R-STN in this article can effectively prevent bacterial infections and promote early osseointegration. The main advantage of the titanium surface treatment method of the study was that its simplicity, low cost, especially its versatility made it a promising anti-infective bone repair material.

4.
J Comp Neurol ; 2022 Jan 11.
Artigo em Inglês | MEDLINE | ID: mdl-35014704

RESUMO

Leucine-rich repeat and immunoglobulin-like domain-containing nogo receptor-interacting protein 1 (LINGO-1), a negative regulator of oligodendrocyte differentiation and myelination, is associated with cognitive function, and its expression is highly upregulated in Alzheimer's disease (AD) patients. Anti-LINGO-1 antibody treatment can effectively antagonize the negative regulatory effect of LINGO-1. In this study, we aim to assess the effect of anti-LINGO-1 antibody treatment on cognition and hippocampal oligodendrocytes in an AD transgenic animal model. First, 10-month-old male APP/PS1 mice were administered anti-LINGO-1 antibody for 8 weeks. Then, learning and memory abilities were assessed with the Morris water maze (MWM) and Y-maze tests, and amyloid-beta (Aß) deposition and hippocampal oligodendrocytes were investigated by immunohistochemistry, immunofluorescence, and stereology. We found that anti-LINGO-1 antibody alleviated the deficits in spatial learning and memory abilities and working and reference memory abilities, decreased the density of LINGO-1 positive cells, decreased Aß deposition, significantly increased the number of mature oligodendrocytes and the density of myelin, reversed the abnormal increases in the number of oligodendrocyte lineage cells and the densities of oligodendrocytes precursor cells in APP/PS1 mice. Our results provide evidence that LINGO-1 might be involved in the process of oligodendrocyte dysmaturity in the hippocampus of AD mice and that antagonizing LINGO-1 can alleviate cognitive deficits in APP/PS1 mice and decrease Aß deposition and promote oligodendrocyte differentiation and maturation in the hippocampus of these mice. Our findings suggest that changes in LINGO-1 and oligodendrocytes in the hippocampus play important roles in the pathogenesis of AD and that antagonizing LINGO-1 might be a potential therapeutic strategy for AD. This article is protected by copyright. All rights reserved.

5.
Adv Mater ; : e2109399, 2022 Jan 13.
Artigo em Inglês | MEDLINE | ID: mdl-35023217

RESUMO

Organic semiconducting emitters integrated with butterfly-mimetic photonic crystals (PhCs) are fascinating for dramatic advantages over light outcoupling efficiency and multifunctional strain sensors, as well as the key step toward electrically pumped lasers. Herein, we report an unprecedentedly direct mesoscale self-assembly into one-dimensional PhCs, through a covalently gridization-driven approach of wide-bandgap conjugated polymers. A simple solvent-casting procedure allows for in-situ self-assembly of the state-of-the-art conjugated nanopolymer, poly{[4-(octyloxy)-9,9-diphenylfluoren-2,7-diyl]grid}-co-{[5-(octyloxy)-9,9-diphenylfluoren-2,7-diyl]grid} (PODPFG), into well-defined multilayer architectures with an excellent toughness (30∼40 J m-3 ). This ordered meso-architecture shows a typical Bragg-Snell diffraction behavior to testify the PhC nature, along with a high effective refractive index (1.80∼1.88) and optical transmittance (85∼87%). The PhC films also exhibit an angle-dependent blue/green photoluminescence switching, an electroluminescence efficiency enhancement by 150%∼250%, and an amplified spontaneous emission enhancement with ultralow waveguide loss coefficient (2.60 cm-1 ). Gridization of organic semiconductors offers promising opportunities for cross-scale morphology-directed molecular design in multifunctional organic mechatronics and intelligences. This article is protected by copyright. All rights reserved.

6.
Artigo em Inglês | MEDLINE | ID: mdl-35029834

RESUMO

In this study, the sedimentary records, sources, and ecological risks of polycyclic aromatic hydrocarbons (PAHs) in Dianchi Lake were analyzed. The concentrations of ΣPAH16 in the sediments of Dianchi Lake ranged from 368 to 990 ng/g, with an average value of 572 ng/g, peaking in 1988. Economic development, rapid population growth, and rapid growth of coal consumption have a greater impact on the HMW (high molecular weight) PAHs than on the LMW (low molecular weight) PAHs in the sedimentary environment. The results of the diagnostic ratios and PCA (principal component analysis) model show that the main sources of PAHs were coal and biomass combustion, as well as the fossil fuel combustion in individual years. The risk assessment results showed that the PAH concentrations in the sediment were within a safe range. In the past 100 years of sediment pore water, other 2-3 ring LMW PAHs were within a safe range (except for Phe, which reached chronic toxic pollution levels in some years). With an increase in industrialization and urbanization, the burning of fossil fuels such as coal and petroleum has increased, and some of the 4-6 ring HMW PAHs have reached chronic toxicity or even acute toxicity in the sediment pore water.

7.
ACS Appl Mater Interfaces ; 14(1): 1615-1625, 2022 Jan 12.
Artigo em Inglês | MEDLINE | ID: mdl-34968042

RESUMO

Poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) is one of the most prospering transparent conductive materials for flexible optoelectronic devices, which arises from its nonpareil features of low-cost solution processability, tunable conductivity, high transparency, and superior mechanical flexibility. However, acidity and hygroscopicity of PSS chains cause a decrease in conductivity, substrate corrosion, and device degradation. This work proposes a facile and effective direct doping strategy of sodium 3-methylsalicylate to enhance the conductivity, alleviate the acidity, and improve the stability of PEDOT:PSS electrodes, simultaneously. Owing to the formation of weaker acid and PSS-Na, PSS chains are disentangled from the coiled PEDOT:PSS complexes, leading to the phase separation of PEDOT:PSS and the formation of fibril-like PEDOT domains. Eventually, the sodium 3-methylsalicylate-modified PEDOT:PSS electrode is employed in flexible organic light-emitting diodes with an outstanding external quantum efficiency of up to 25%. The improved performance is attributed to the more matched work function and the as-formed interfacial dipole. The sodium 3-methylsalicylate-modified PEDOT:PSS electrode with high conductivity and transmittance, superior stability in the air as well as good mechanical flexibility has the potential to be the most promising transparent conductive material for flexible optoelectronic device applications.

8.
Pharmacol Res ; 175: 106020, 2022 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-34896249

RESUMO

Obesity associated with low-grade chronic inflammation and intestinal dysbiosis is considered as a worldwide public health crisis. In the meanwhile, different probiotics have demonstrated beneficial effects on this condition, thus increasing the interest in the development of probiotic treatments. In this context, the aim of this study is to investigate the anti-obesity effects of potential probiotic Lactobacillus acidophilus isolated from the porcine gut. Then, it is found that L. acidophilus reduces body weight, fat mass, inflammation and insulin resistance in mice fed with a high-fat diet (HFD), accompanied by activation in brown adipose tissue (BAT) as well as improvements of energy, glucose and lipid metabolism. Besides, our data indicate that L. acidophilus not only reverses HFD-induced gut dysbiosis, as indicated by the decreased Firmicutes-to-Bacteroidetes ratios and endotoxin bearing Gram-negative bacteria levels, but also maintains intestinal barrier integrity, reduces metabolic endotoxemia, and inhibits the TLR4 / NF- κB signaling pathway. In addition, the results of microbiome phenotype prediction by BugBase and bacterial functional potential prediction using PICRUSt show that L. acidophilus treatment improves the gut microbiota functions involving metabolism, immune response, and pathopoiesia. Furthermore, the anti-obesity effect is transmissible via horizontal faeces transfer from L. acidophilus-treated mice to HFD-fed mice. According to our data, it is seen that L. acidophilus could be a good candidate for probiotic of ameliorating obesity and associated diseases such as hyperlipidemia, nonalcoholic fatty liver diseases, and insulin resistance through its anti-inflammatory properties and alleviation of endothelial dysfunction and gut dysbiosis.

9.
Sci Total Environ ; 803: 150057, 2022 Jan 10.
Artigo em Inglês | MEDLINE | ID: mdl-34500269

RESUMO

Black carbon (BC), characterized by high aromaticity and stability, has been recognized as a substantial fraction of the carbon pool in soil and sediment. The effect of BC on the particulate organic carbon (POC) pool in lake water, which is an important medium of carbon transmission and transformation, has not been thoroughly studied. The investigations of BC composition and distribution, POC, polycyclic aromatic hydrocarbons (PAHs), and stable carbon and nitrogen isotopes were conducted in a eutrophic urban lake, Taihu Lake, which is the third largest freshwater lake in China. The results indicate that the BC is composed of 55 ± 12% char and 45 ± 12% soot and accounted for 12 ± 6% of POC (the maximum value is 31%). The comparatively high levels of BC and char are distributed in the northern Taihu Lake, especially in Meiliang Bay (0.72 ± 0.38 mg L-1 and 0.45 ± 0.24 mg L-1). The distribution of soot presents a declining trend from the lakeshore to the central lake, particularly in the northern, western, and southern lakes. Source apportionment results from positive matrix factorization of PAHs suggest that consumption of fossil fuel (79 ± 20%) is the dominant source of BC, which agrees with the low ratio of char/soot (1.41 ± 0.71) and relatively depleted δ13C. The covariation of BC and PAHs and terrestrial dissolved organic carbon indicate that the effect of terrestrial input significantly regulates the distribution of BC in Taihu Lake, which is reflected in the high BC value along the lakeshore.


Assuntos
Lagos , Hidrocarbonetos Policíclicos Aromáticos , Carbono/análise , China , Monitoramento Ambiental , Sedimentos Geológicos , Hidrocarbonetos Policíclicos Aromáticos/análise , Fuligem/análise
10.
Neural Regen Res ; 17(5): 1080-1087, 2022 May.
Artigo em Inglês | MEDLINE | ID: mdl-34558536

RESUMO

Baicalin is a natural active ingredient isolated from Scutellariae Radix that can cross the blood-brain barrier and exhibits neuroprotective effects on multiple central nervous system diseases. However, the mechanism behind the neuroprotective effects remains unclear. In this study, rat models of spinal cord injury were established using a modified Allen's impact method and then treated with intraperitoneal injection of Baicalin. The results revealed that Baicalin greatly increased the Basso, Beattie, Bresnahan Locomotor Rating Scale score, reduced blood-spinal cord barrier permeability, decreased the expression of Bax, Caspase-3, and nuclear factor κB, increased the expression of Bcl-2, and reduced neuronal apoptosis and pathological spinal cord injury. SH-SY5Y cell models of excitotoxicity were established by application of 10 mM glutamate for 12 hours and then treated with 40 µM Baicalin for 48 hours to investigate the mechanism of action of Baicalin. The results showed that Baicalin reversed tight junction protein expression tendencies (occludin and ZO-1) and apoptosis-related protein expression (Bax, Bcl-2, Caspase-3, and nuclear factor-κB), and also led to up-regulation of PI3K and Akt phosphorylation. These effects on Bax, Bcl-2, and Caspase-3 were blocked by pretreatment with the PI3K inhibitor LY294002. These findings suggest that Baicalin can inhibit blood-spinal cord barrier permeability after spinal cord injury and reduce neuronal apoptosis, possibly by activating the PI3K/Akt signaling pathway. This study was approved by Animal Ethics Committee of Xi'an Jiaotong University on March 6, 2014.

11.
J Proteomics ; 250: 104386, 2022 Jan 06.
Artigo em Inglês | MEDLINE | ID: mdl-34600153

RESUMO

Quantitative label-free mass spectrometry (MS) is an increasingly powerful technology for profiling thousands of proteins from complex biological samples. One of the primary goals of analyses performed on such proteomics data is to detect differentially expressed proteins (DEPs) under different experimental conditions. Many statistical methods have been developed and assessed for DEP detection in various proteomics studies. However, it remains a challenge for many proteomics scientists to choose an appropriate statistical procedure. Therefore, in this study, we organized 12 common testing algorithms and 6 P-value combination methods and further provided Cohen's d effect size for every protein and three evaluation criteria to help proteomics scientists investigate their influence on DEP detection in a systematic manner. To promote the widespread use of these methods, we developed a user-friendly web tool, StatsPro, and presented two case studies involving label-free quantitative proteomics data obtained using data-dependent acquisition and data-independent acquisition to illustrate its practicability. This tool is freely available in our GitHub repository (https://github.com/YanglabWCH/StatsPro/). SIGNIFICANCE: One of the primary goals of analyses performed on liquid chromatography-mass spectrometry (LC-MS) based proteomics data is to detect differentially expressed proteins (DEPs) under different experimental conditions. Despite of many research efforts have been proposed to detect DEPs, to date, there is a scarcity of efficient, systematic, and easy-to-handle tools that are tailored for proteomics scientists to choose an appropriate statistical procedure. Herein, we present a new tool, StatsPro, to enable implementation and evaluation of different statistical methods for proteomics scientists. This tool has two significant advances compared to existing software: a) It integrates up to 18 common statistical approaches (12 statistical tests and 6 P-value combination strategies) and performs Cohen's d effect size systematically for users, moreover, it provides a web-based interface and can be quite conveniently operated by users, even those with less profound computational background. b) It supports three performance evaluation criteria (e.g. number of DEPs, correlation coefficient between P-values and effect sizes, Area under the ROC curve) for users to review the final statistical results, which may guide the method selection for DEPs detection.

12.
Spectrochim Acta A Mol Biomol Spectrosc ; 267(Pt 1): 120571, 2022 Feb 15.
Artigo em Inglês | MEDLINE | ID: mdl-34752994

RESUMO

Non-invasive diagnosis and staging of diffuse large B-cell lymphoma (DLBCL) were achieved using label-free surface-enhanced Raman spectroscopy (SERS). SERS spectra were measured for serum samples of DLBCL patients at different progressive stages and healthy controls (HCs), using colloidal silver nano-particles (AgNPs) as the substrate. Differences in the spectral intensities of Raman peaks were observed between the DLBCL and HC groups, and a close correlation between the spectral intensities of Raman peaks with the progressive stages of the cancer was obtained, demonstrating the possibility of diagnosis and staging of the disease using the serum SERS spectra. Multivariate analysis methods, including principal component analysis (PCA), linear discriminant analysis (LDA), support vector machine (SVM) classifier, and k-nearest neighbors (kNN) classifier, were used to build the diagnosis and staging models for DLBCL. Leave-one-out cross-validation was used to evaluate the performances of the models. The kNN model achieved the best performances for both diagnosis and staging of DLBCL: for the diagnosis analysis, the accuracy, sensitivity, and specificity were 87.3%, 0.921, and 0.809, respectively; for the staging analysis between the early (Stage I & II) and the late (Stage III & IV) stages, the accuracy was 90.6%, and the sensitivity values for the early and the late stages were 0.947 and 0.800, respectively. The label-free serum SERS in combination with multivariate analysis could serve as a potential technique for non-invasive diagnosis and staging of DLBCL.


Assuntos
Linfoma Difuso de Grandes Células B , Análise Espectral Raman , Análise Discriminante , Humanos , Linfoma Difuso de Grandes Células B/diagnóstico , Análise Multivariada , Análise de Componente Principal
13.
IEEE Trans Image Process ; 31: 164-175, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-34818190

RESUMO

Skeleton-based action recognition has attracted considerable attention since the skeleton data is more robust to the dynamic circumstances and complicated backgrounds than other modalities. Recently, many researchers have used the Graph Convolutional Network (GCN) to model spatial-temporal features of skeleton sequences by an end-to-end optimization. However, conventional GCNs are feedforward networks for which it is impossible for the shallower layers to access semantic information in the high-level layers. In this paper, we propose a novel network, named Feedback Graph Convolutional Network (FGCN). This is the first work that introduces a feedback mechanism into GCNs for action recognition. Compared with conventional GCNs, FGCN has the following advantages: (1) A multi-stage temporal sampling strategy is designed to extract spatial-temporal features for action recognition in a coarse to fine process; (2) A Feedback Graph Convolutional Block (FGCB) is proposed to introduce dense feedback connections into the GCNs. It transmits the high-level semantic features to the shallower layers and conveys temporal information stage by stage to model video level spatial-temporal features for action recognition; (3) The FGCN model provides predictions on-the-fly. In the early stages, its predictions are relatively coarse. These coarse predictions are treated as priors to guide the feature learning in later stages, to obtain more accurate predictions. Extensive experiments on three datasets, NTU-RGB+D, NTU-RGB+D120 and Northwestern-UCLA, demonstrate that the proposed FGCN is effective for action recognition. It achieves the state-of-the-art performance on all three datasets.

14.
Sci Total Environ ; 806(Pt 1): 150502, 2022 Feb 01.
Artigo em Inglês | MEDLINE | ID: mdl-34844319

RESUMO

High ammonia (NH3) and nitrogen oxide (NOx) emissions are related to serious air pollution in urban areas and the negative impacts of excessive reactive nitrogen (N) deposition on many ecosystems. However, whether there is a relationship between N deposition rates and their sources with urbanization or not remains unclear in many areas. Here, we investigated the deposition rates of ammonium (NH4+), nitrate (NO3-), dissolved organic N, and water-insoluble particular N from July 2017 to June 2018 at two urban and two suburban sites in the Yangtze River Delta (YRD). The δ15N values of precipitation NH4+ and NO3- were measured, and major sources were analyzed using a Bayesian isotope mixing model. Wet N deposition rates were higher in Yangzhou (developing city, 20.3-22.7 kg N ha-1 yr-1) than those in Nanjing (developed city, 19.4-20.5 kg N ha-1 yr-1), and were higher at urban sites (20.4-22.5 kg N ha-1 yr-1) than those at suburban sites (18.7-20.3 kg N ha-1 yr-1). δ15N values of precipitation NH4+ increased with an increase in precipitation pH because ambient acidity affects the equilibrium isotope fractionation between NH3 and NH4+ and wet scavenging coefficients of NH3 and particulate NH4+. For NH4+, combustion-related NH3 sources (62%-65% with 5.5-6.4 kg N ha-1 yr-1, including coal combustion, vehicle exhaust, and biomass burning) contributed more than volatilization NH3 sources (35%-38% with 2.9-3.9 kg N ha-1 yr-1, including fertilizer application and waste volatilization). For NO3-, non-fossil fuel NOx sources (50%-63% with 3.4-4.1 kg N ha-1 yr-1, including biomass burning and microbial N cycle) were comparable to fossil fuel NOx sources (37%-50% with 2.4-3.4 kg N ha-1 yr-1, including coal combustion and vehicle exhaust). This study evidenced high N deposition rates and the importance of combustion-related NH3 emissions and non-fossil fuel NOx emissions in city areas of the YRD.


Assuntos
Poluentes Atmosféricos , Nitrogênio , Poluentes Atmosféricos/análise , Teorema de Bayes , China , Cidades , Ecossistema , Monitoramento Ambiental , Nitrogênio/análise , Rios , Estações do Ano
15.
Chemosphere ; 290: 133317, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-34921858

RESUMO

The successful application of photocatalysis in practical water treatment opreations relies greatly on the development of highly efficient, stable and low-cost photocatalysts. The low-cost metal-free photocatalyst made up of black phosphorus (BP) and graphitic carbon nitride (CN) was successfully constructed and firstly used for the photocatalytic treatment of antibiotic contaminants in this work. Compared with bare CN, the BP/CN photocatalyst exhibited the enhanced photocatalytic performance for tetracycline hydrochloride (HTC) degradation, that 99% of HTC was removed by 6BP/CN (doping amount of BP was 6%) within 30 min under the simulated visible-light irradiation. The efficiency was even comparable to those of some high-efficiency photocatalysts recently-reported such as Fe0@POCN, CuInS2/Bi2MoO6 and Cu2O@HKUST-1. Under natural sunlight illumination, the determined apparent rate constant for degradation of HTC by BP/CN was 2.7 times as that by P25 TiO2. The experimental results indicated that loading BP on CN could enhance the separation of charge carriers and promote the ability of light absorption for visible-light, thus leading to a greater catalytic activity. Meanwhile, the influences of different operating variables (pH, water, ion and HTC concentration) on HTC degradation were studied in detail. Furthermore, the degradation pathway of HTC was also proposed. In addition, the photocatalytic activity of the BP/CN for production of hydrogen peroxide (H2O2) was also studied, which could reach up to 501.04 µmol g-1h-1. It is anticipated that BP/CN photocatalyst could be used for practical water treatment.

16.
Chemosphere ; 287(Pt 1): 132072, 2022 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-34481174

RESUMO

High-performance photocatalytic applications require to develop heterostructures between two semiconductors with matched band energy levels to facilitate charge-carrier separation. The S-scheme photocatalytic system has great potential to be explored, in terms of the improvement of charge separation, however, small efforts have been made in photocatalytic disinfection application. In this study, a non-toxic and low-cost S-scheme photocatalytic system composed of α-Fe2O3 and g-C3N4 was fabricated by in-suit production of g-C3N4 and firstly applied into water disinfection. The α-Fe2O3/g-C3N4 junction demonstrated an enhanced activity for photocatalytic bacterial inactivation, with the complete inactivation of 7 log10 cfu·mL-1 of Escherichia coli K-12 cells within 120 min under visible light irradiation. Its logarithmic bacterial inactivation efficiency was nearly 7 times better than that of single g-C3N4. The experimental results suggested that the effective prevention of charge-carrier recombination led to an improved generation of reactive oxygen species (ROSs), resulting in impressive disinfection performance. Moreover, the DNA gel electrophoresis experiments validated the reason for the irreversible death of bacteria, which was the leakage and destruction of chromosomal DNA. In addition, this S-scheme heterojunction also showed excellent photocatalytic disinfection performance in authentic water matrices (including tap water, secondary treated sewage effluent, and surface water) under visible light irradiation. Hence, the α-Fe2O3/g-C3N4 composite has great potential for sustainable and efficient photocatalytic disinfection applications.


Assuntos
Desinfecção , Escherichia coli K12 , Antibacterianos , Catálise , Luz
17.
Mol Genet Metab ; 135(1): 47-55, 2022 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-34896004

RESUMO

Propionic acidemia (PA) is a severe autosomal recessive metabolic disease caused by deficiency of propionyl-CoA carboxylase (PCC). We studied PA transgenic (Pat) mice that lack endogenous PCC but express a hypoactive human PCCA cDNA, permitting their survival. Pat cohorts followed from 3 to 20 weeks of age showed growth failure and lethal crises of lethargy and hyperammonemia, commoner in males (27/50, 54%) than in females (11/52, 21%) and occurring mainly in Pat mice with the most severe growth deficiency. Groups of Pat mice were studied under basal conditions (P-Ba mice) and during acute crises (P-Ac). Plasma acylcarnitines in P-Ba mice, compared to controls, showed markedly elevated C3- and low C2-carnitine, with a further decrease in C2-carnitine in P-Ac mice. These clinical and biochemical findings resemble those of human PA patients. Liver acyl-CoA measurements showed that propionyl-CoA was a minor species in controls (propionyl-CoA/acetyl-CoA ratio, 0.09). In contrast, in P-Ba liver the ratio was 1.4 and in P-Ac liver, 13, with concurrent reductions of the levels of acetyl-CoA and other acyl-CoAs. Plasma ammonia levels in control, P-Ba and P-Ac mice were 109 ± 10, 311 ± 48 and 551 ± 61 µmol/L respectively. Four-week administration to Pat mice, of carglumate (N-carbamyl-L-glutamic acid), an analogue of N-carbamylglutamate, the product of the only acyl-CoA-requiring reaction directly related to the urea cycle, was associated with increased food consumption, improved growth and absence of fatal crises. Pat mice showed many similarities to human PA patients and provide a useful model for studying tissue pathophysiology and treatment outcomes.

18.
Eur J Cancer ; 161: 138-147, 2022 01.
Artigo em Inglês | MEDLINE | ID: mdl-34916122

RESUMO

BACKGROUND & AIMS: Quantitative analysis of computed tomography (CT) scans of patients with metastatic colorectal cancer (mCRC) can identify imaging signatures that predict overall survival (OS). METHODS: We retrospectively analysed CT images from 1584 mCRC patients on two phase III trials evaluating FOLFOX ± panitumumab (n = 331, 350) and FOLFIRI ± aflibercept (n = 437, 466). In the training set (n = 720), an algorithm was trained to predict OS landmarked from month 2; the output was a signature value on a scale from 0 to 1 (most to least favourable predicted OS). In the validation set (n = 864), hazard ratios (HRs) evaluated the association of the signature with OS using RECIST1.1 as a benchmark of comparison. RESULTS: In the training set, the selected signature combined three features - change in tumour volume, change in tumour spatial heterogeneity, and tumour volume - to predict OS. In the validation set, RECIST1.1 classified patients in three categories: response (n = 166, 19.2%), stable disease (n = 636, 73.6%), and progression (n = 62, 7.2%). The HR was 3.93 (2.79-5.54). Using the same distribution for the signature, the HR was 21.04 (14.88-30.58), showing an incremental prognostic separation. Stable disease by RECIST1.1 was reclassified by the signature along a continuum where patients belonging to the most and least favourable signature quartiles had a median OS of 40.73 (28.49 to NA) months (n = 94) and 7.03 (5.66-7.89) months (n = 166), respectively. CONCLUSIONS: A signature combining three imaging features provides early prognostic information that can improve treatment decisions for individual patients and clinical trial analyses.


Assuntos
Neoplasias Colorretais/diagnóstico por imagem , Neoplasias Colorretais/patologia , Ensaios Clínicos Fase III como Assunto , Estudos de Avaliação como Assunto , Humanos , Prognóstico , Estudos Retrospectivos , Tomografia Computadorizada por Raios X/métodos , Carga Tumoral/fisiologia
19.
Biochem Biophys Res Commun ; 589: 247-253, 2022 Jan 22.
Artigo em Inglês | MEDLINE | ID: mdl-34929448

RESUMO

Ferroptosis is a kind of cell death closely related to selective autophagy, such as ferritinophagy, lipophagy, clockophagy and chaperone-mediated autophagy. However, the role of reticulophagy, which specifically degrades endoplasmic reticulum (ER) fragments (also known as ER-phagy), in ferroptosis regulation is still unclear. In this study, we found that sorafenib (ferroptosis inducer) can effectively activate the receptor protein FAM134B-mediated ER-phagy, and FAM134B knockdown not only blocked ER-phagy but also significantly strengthened cellular sensitivity to ferroptosis without affecting macroautophagy. In vivo experiments also yielded similar results. These evidences provided new clues for ferroptosis regulation. Subsequently, bioinformatic analysis combined with RNA binding protein immunoprecipitation and polyribosome fractionation preliminarily indicated that PABPC1 can interact with FAM134B mRNA and promote its translation. Taken together, this study revealed the role of the PABPC1-FAM134B-ER-phagy pathway on ferroptosis, providing important evidence for novel anti-cancer strategies.

20.
Proteomics Clin Appl ; : e2000099, 2021 Dec 06.
Artigo em Inglês | MEDLINE | ID: mdl-34870900

RESUMO

Proteomics analysis is often troubled by high-abundance proteins in samples such as plasma. However, many surgical tissue samples inevitably have got contaminated with blood before cryopreservation. Selection of an appropriate method to minimize the effect of high-abundance proteins is important for proteomics analysis of blood contaminated tissues. Here, we investigated and compared the abilities of data-independent acquisition (DIA) and data-dependent acquisition (DDA) strategies for the proteomics analysis of blood contaminated clinical tissue samples. 12 pairs of carcinoma and para-carcinoma tissue samples from lung cancer patients were used for proteomics assays separately by DIA and DDA and the blood contamination level in samples was evaluated by Contamination Index (CI). Compared with the DDA strategy, DIA in whole exhibited much better analytical capabilities in proteomics analysis of these samples with more identified protein groups and a higher discovery of differential proteins. With CI value increasing, whether DIA or DDA showed decreasing analysis ability. However, for samples with high CI values, the DIA strategy still shows acceptable analytical capability and indicates better blood pollution resistance than the DDA strategy. Our results implied that for clinical tissue samples, particularly for those contaminated with blood, DIA strategy should be a preferred method in proteomics studies. This article is protected by copyright. All rights reserved.

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