Facile fabricate sandwich-structured molecularly imprinted dopamine polymer for simultaneously specific capture of Low-density lipoprotein and eliminate "bad cholesterol".

A simplified approach for preparation of sandwich type molecularly imprinted polymers (PPDA-MIPs) is proposed for simultaneously identify Low-density lipoprotein (LDL) and dispose "bad cholesterol". Porous polydopamine nanosphere (PPDA) is applied as a matrix for immobilization of LDL, and the imprinted layer is formed by dopamine acting as a functional monomer. Since imprinted cavities exhibit shape memory effects in terms of recognizing selectivity, the PPDA-MIPs exhibit excellent selectivity toward LDL and a substantial binding capacity of 550.3 µg mg-1. Meanwhile, six adsorption/desorption cycles later, the adsorption efficiency of 83.09 % is still achieved, indicating the adequate stability and reusability of PPDA-MIPs. Additionally, over 80 % of cholesterol is recovered, indicating the completeness of "bad cholesterol" removal in LDL. Lastly, as demonstrated by gel electrophoresis, PPDA-MIPs performed satisfactory behavior for the removal of LDL from the goat serum sample.

Effect of ultrasound-guided stellate ganglion block on lung protection for patients undergoing one-lung ventilation.

OBJECTIVE: To explore the potential effect of ultrasound-guided stellate ganglion block (SGB) on lung protection for patients undergoing one-lung ventilation (OLV). METHODS: A total of 123 patients undergoing elective one-lung ventilation surgery were selected as research subjects in this prospective study. These patients were randomly divided into the SGB group, control group and blank group on average. Stellate ganglion block was carried out in the SGB and control groups. Patients in the SGB group were injected with 6 ml mixture of 0.25% ropivacaine hydrochloride and 1% lidocaine hydrochloride, while those in the control group were injected with 6 mL of 0.9% saline. Punctures weren't performed for patients in the blank group. The same induction and maintenance of general anesthesia was adopted for all three groups. Hemodynamics, respiratory parameters and arterial blood gas analysis were recorded after entering the operation room (T0), pre-OLV (T1), 30 min after OLV (T2), 60 min after OLV (T3), at the end of surgery (T4), and 30 min after extubation (T5). Oxygenation index (OI), pulmonary shunt fraction (Qs/Qt) and pH value were compared at different time points. Intravenous serum was collected at T0, T3 and T5 for the detection of surfactant proteins A (SP-A), superoxide dismutase (SOD), malondialdehyde (MDA), interleukin-6 (IL-6) and interleukin-10 (IL-10) levels, respectively. The complications related to SGB after surgery and the postoperative pulmonary complications within 72 h were recorded. RESULTS: At T1, T2, and T3, MAP level in SGB group was lower than that in blank and control groups (P<0.05). At T2, and T3, SGB group had lower hear rate (HR), peak airway pressure (Ppeak) and tidal volume (TV) than blank and control groups (all P<0.05). From T2 to T5, SGB group had higher OI but lower Qs/Qt than blank and control groups (both P<0.05). At T3 and T5, SGB group had lower SP-A, IL-6, and MDA levels but higher IL-10 and SOD levels than blank and control groups (all P<0.05). There was one case of hypoxemia in the blank group within 72 h after surgery. CONCLUSION: Ultrasound-guided SGB has lung-protective effects on patients undergoing OLV, which significantly improves patients' OI, reduces intrapulmonary shunts, declines ventilator-induced lung damage, and inhibits inflammatory response as well as oxidative stress (China Clinical Trial Registry, registration number ChiCTR2000033385, https://www.chictr.org.cn).

An Innovative and Efficient Fluorescent Detection Technique for Salmonella in Animal-Derived Foods Using the CRISPR/Cas12a-HCR System Combined with PCR/RAA.

Here, we present a method for Salmonella detection using clustered regularly interspaced short palindromic repeats associated with the CRISPR-associated protein 12a-hybridization chain reaction (CRISPR/Cas12a-HCR) system combined with polymerase chain reaction/recombinase-assisted amplification (PCR/RAA) technology. The approach relies on the Salmonella invA gene as a biorecognition element and its amplification through PCR and RAA. In the presence of the target gene, Cas12a, guided by crRNA, recognizes and cleaves the amplification product, initiating the HCR. Fluorescently labeled single-stranded DNA (ssDNA) H1 and H2 were introduced, and the Salmonella concentration was determined based on the fluorescence intensity from the triggered HCR. Both assays demonstrate high specificity, sensitivity, simplicity, and rapidity. The detection range was 2 × 101-2 × 109 CFU/mL, with an LOD of 20 CFU/mL, and the entire process enabled specific and rapid Salmonella detection within 85-105 min. Field-incurred spiked recovery tests were conducted in mutton and beef samples using both assays, demonstrating satisfactory recovery and accuracy in animal-derived foods. By combining CRISPR/Cas12a with hybridization chain reaction technology, this study presents a rapid and sensitive Salmonella detection method that is crucial for identifying pathogenic bacteria and monitoring food safety.

Chitosan-Enhanced pH-Sensitive Anthocyanin Indicator Film for the Accurate Monitoring of Mutton Freshness.

Natural anthocyanin indicator films with an excellent pH response enable the visual assessment of meat freshness. In this investigation, chitosan was initially employed as a colorimetric enhancer, leading to the development of a pH-sensitive indicator film that was enhanced in colorimetry. The characteristics of this indicator film were thoroughly analyzed, and the mechanism responsible for the increased sensitivity of anthocyanin within the chitosan matrix, as indicated by the color response, was elucidated. The recrystallization of chitosan impeded the hydration of AH+ as the pH increased from 6.0 to 8.0, leading to distinct color changes. Moreover, the application of this indicator film was extended to the monitoring of mutton meat freshness. It facilitated the differentiation of mutton meat into three distinct stages, namely, fresh, sub-fresh, and spoiled, based on alterations in color. Additionally, a robust positive correlation was established between the color difference value of the indicator film and the total volatile basic nitrogen and bacterial count of the mutton meat, enabling quantitative analysis. The present study, therefore, demonstrated a novel function of chitosan, i.e., the enhancement of the color of anthocyanin, which could be useful in designing and fabricating indicator films with a high color response.

Research progress on natural preservatives of meat and meat products: classifications, mechanisms and applications.

Meat and meat products are highly susceptible to contamination by microorganisms and foodborne pathogens, which cause serious economic losses and health hazards. The large consumption and waste of meat and meat products means that there is a need for safe and effective preservation methods. Furthermore, toxicological aspects of chemical preservation techniques related to major health problems have sparked controversies and have prompted consumers and producers to turn to natural preservatives. Consequently, natural preservatives are being increasingly used to ensure the safety and quality of meat products as a result of customer preferences and biological efficacy. However, information on the current status of these preservatives is scattered and a comprehensive review is lacking. Here, we review current knowledge on the classification, mechanisms of natural preservatives and their applications in the preservation of meat and meat products, and also discuss the potential of natural preservatives to improve the safety of meat and meat products. The current status and the current research gaps in the extraction, application and controlled-release of natural antibacterial agents for meat preservation are also discussed in detail. This review may be useful to the development of efficient food preservation techniques in the meat industry. © 2024 Society of Chemical Industry.

An improved defocusing adaptive style transfer method based on a stroke pyramid.

Image style transfer aims to assign a specified artist's style to a real image. However, most existing methods cannot generate textures of various thicknesses due to the rich semantic information of the input image. The image loses some semantic information through style transfer with a uniform stroke size. To address the above problems, we propose an improved multi-stroke defocus adaptive style transfer framework based on a stroke pyramid, which mainly fuses various stroke sizes in the image spatial dimension to enhance the image content interpretability. We expand the receptive field of each branch and then fuse the features generated by the multiple branches based on defocus degree. Finally, we add an additional loss term to enhance the structural features of the generated image. The proposed model is trained using the Common Objects in Context (COCO) and Synthetic Depth of Field (SYNDOF) datasets, and the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) are used to evaluate the overall quality of the output image and its structural similarity with the content image, respectively. To validate the feasibility of the proposed algorithm, we compare the average PSNR and SSIM values of the output of the modified model and those of the original model. The experimental results show that the modified model improves the PSNR and SSIM values of the outputs by 1.43 and 0.12 on average, respectively. Compared with the single-stroke style transfer method, the framework proposed in this study improves the readability of the output images with more abundant visual expression.

N-Acetyl-l-cysteine ameliorates gestational diabetes mellitus by inhibiting oxidative stress.

Objective: Gestational diabetes mellitus (GDM) affects 7% of pregnant women worldwide. How to effectively treat GDM has always been a concern of people.Research methods: In this study, a diabetes model was established by drug-induced mice. Subsequently, the blood glucose levels and serum insulin changes of the mice after N-acetyl-l-cysteine (NAC) treatment were observed. At the same time, the effect of NAC on reproduction of GDM mice was recorded.Results of the study: Mice fed NAC showed significantly improved glucose tolerance and insulin sensitivity compared to Diabetic/Control. Total serum cholesterol, serum triglycerides, and serum low-density lipoprotein were significantly reduced, and atherosclerosis index was much lower than in control mice. In addition, Diabetic/Control mice had lower litter sizes and higher birth weights. NAC treatment significantly restored litter size and reduced birth weight in Diabetic/Control mice. It was found in WB assay that the NAC-fed group significantly increased nuclear Nrf2 and HO-1 expression levels.Conclusion: NAC can improve blood glucose tolerance in GDM mice; NAC effectively relieves the symptoms of hyperlipidemia caused by GDM; NAC enhances the expression of Nrf2/HO-1 in the liver, thereby restoring redox homeostasis. NAC can reduce gestational diabetes-related disease indicators by oral administration, and has a beneficial effect on the offspring of pregnant mice (reduces its diabetes disease indicators).

A plasmon resonance-inspired discriminator unscrambles lipoprotein subtypes.

Cardiovascular diseases are strongly linked to circulating lipoprotein subtypes. However, the significance of their discrimination is generally underappreciated. Herein, we designed a facile approach for efficacious and precise profiling identification of lipoprotein subtypes inspired by the plasmon resonance of gold nanorods (AuNRs). With the addition of an anti-low density lipoprotein (LDL) aptamer, the discriminator platform realized accurate identification of lipoprotein subclasses (LDL, high density lipoprotein (HDL), and very low density lipoprotein (VLDL)). Subtle differences in the structures and physicochemical properties of lipoproteins result in distinct spectral signatures, which provide a unique "chemical fingerprint" for each target. The identifier offered a straightforward approach for the semi-quantitative profiling of lipoprotein subtypes in human serum. Oxidized LDL (Ox-LDL), one of the earliest incidents in atherosclerosis, could also be identified from the lipoprotein subtypes. Furthermore, 14 proteins including LDL, HDL, VLDL, and Ox-LDL were precisely distinguished by linear discriminant analysis (LDA) via establishing a two-dimensional sensor array. More importantly, the discriminator facilitated the distinction of lipoproteins in clinical serum samples from healthy and hypercholesterolaemic patients.

The concurrent enrichment of glycoproteins and phosphoproteins with polyoxometalate-covalent organic framework conjugate as the adsorbent.

Polyoxometalates (POMs) have been explored to tailor the surface properties of substrates to satisfy the practical demands. Herein, the hydrophobicity of vinyl-containing covalent organic framework (COF) was regulated by modifying with 3-mercaptopropyltrimethoxysilane organofunctionalized tri-lacunary polyoxometalate (MPW9) through thiol-ene click reaction. The product was termed as COF-MPW9, with a specific surface area of 396 m2 g-1. The improved super hydrophilicity of COF-MPW9 provided favorable capability for the concurrent enrichment of glycoproteins and phosphoproteins. The adsorption capacities for the representative glycoprotein and phosphoprotein, i.e., immunoglobulin G (IgG) and ß-casein (ß-ca), were derived to be 378 mg g-1 and 740 mg g-1, respectively. Moreover, it was demonstrated that COF-MPW9 could selectively capture glycoproteins and phosphoproteins from human serum. This is potentially valuable for the ensuing study of glycoproteomics and phosphoproteomics.

ER-Targeting Cyanine Dye as an NIR Photoinducer to Efficiently Trigger Photoimmunogenic Cancer Cell Death.

Endoplasmic reticulum (ER) stress, caused by overproduction of reactive oxygen species (ROS), has been shown to be responsible for immunogenic cell death (ICD). Seeking ROS generator targeting ER is an optimal solution to efficiently induce ER stress. Despite clear indications of demand for ER-targeting photosensitizer, the alternative chemical tools remain limited. Herein, the first ER-localizable ICD photoinducer using thio-pentamethine cyanine dye (TCy5) to induce ER stress under mild near-infrared (NIR) irradiation has been developed. Within the ICD photoinducer design, polyfluorinated TCy5-Ph-3F possesses a selective tropism to ER accumulation and superior ROS generation capability in both normoxia and hypoxia conditions, which benefit from its low singlet-triplet gaps. Under NIR irradiation, cancer cells stained by TCy5-Ph-3F will lead to ER stress and induce massive emission of damage-associated molecular patterns, including calreticulin and heat-shock protein 70 exposure, high mobility group box 1 efflux, and adenosine triphosphate secretion. Dendritic cells maturation and CD8+ T cells activation in vivo also highlight the effectiveness. Therefore, the growth of abscopal tumors was substantially suppressed by the primary tumor treated with TCy5-Ph-3F and NIR irradiation. These results confer practical applicability that could provide a guideline for designing efficient ICD photoinducers, which will enable expanding organic molecular applications for cancer immunotherapy.

Aptamer/AuNPs encoders endow precise identification and discrimination of lipoprotein subclasses.

Lipoproteins are composed of lipid and apolipoproteins in conjunction with noncovalent bonds. Different lipoprotein categories, particularly Low-Density Lipoprotein (LDL), High-Density Lipoprotein (HDL) and Very Low-Density Lipoprotein (VLDL) disagree in roles for the occurrence and development of cardiovascular disease, and their exact discrimination are critically required. Herein, a multiplexed sensor platform combined with an encoder system is introduced for accurate analysis of multiple lipoproteins in complex matrix. Three encoders, i.e., bare AuNPs, AuNPs-anti-LDL aptamer (AuNPs-apt) and AuNPs-non-aptamer DNA (AuNPs-n), facilitate precise discrimination for lipoprotein subclasses at a fairly low level of 0.490 nM. The binding of single-stranded DNA (ssDNA) with AuNPs prevents them from gathering in a relatively higher level of salt. In targets stimuli, the weaker binding between ssDNA and AuNPs is destroyed to certain degrees depending on the differential affinities among DNA, AuNPs, and multifarious proteins. It results in distinct aggregation states of encoders to cause diverse ultraviolet absorption, which may be statistically characterized to achieve highly facile and precise identification for lipoprotein subclasses. Remarkably, LDL at 0.05-37.5 µg/mL could be identified by the encoder system. 11 typical proteins including three lipoprotein subclasses in human serum were also precisely discriminated. Furthermore, the accurate identification of lipoprotein subclasses with different molar ratios from real clinical serum samples were obtained.

A localization strategy combined with transfer learning for image annotation.

This study aims to solve the overfitting problem caused by insufficient labeled images in the automatic image annotation field. We propose a transfer learning model called CNN-2L that incorporates the label localization strategy described in this study. The model consists of an InceptionV3 network pretrained on the ImageNet dataset and a label localization algorithm. First, the pretrained InceptionV3 network extracts features from the target dataset that are used to train a specific classifier and fine-tune the entire network to obtain an optimal model. Then, the obtained model is used to derive the probabilities of the predicted labels. For this purpose, we introduce a squeeze and excitation (SE) module into the network architecture that augments the useful feature information, inhibits useless feature information, and conducts feature reweighting. Next, we perform label localization to obtain the label probabilities and determine the final label set for each image. During this process, the number of labels must be determined. The optimal K value is obtained experimentally and used to determine the number of predicted labels, thereby solving the empty label set problem that occurs when the predicted label values of images are below a fixed threshold. Experiments on the Corel5k multilabel image dataset verify that CNN-2L improves the labeling precision by 18% and 15% compared with the traditional multiple-Bernoulli relevance model (MBRM) and joint equal contribution (JEC) algorithms, respectively, and it improves the recall by 6% compared with JEC. Additionally, it improves the precision by 20% and 11% compared with the deep learning methods Weight-KNN and adaptive hypergraph learning (AHL), respectively. Although CNN-2L fails to improve the recall compared with the semantic extension model (SEM), it improves the comprehensive index of the F1 value by 1%. The experimental results reveal that the proposed transfer learning model based on a label localization strategy is effective for automatic image annotation and substantially boosts the multilabel image annotation performance.

New Cy5 photosensitizers for cancer phototherapy: a low singlet-triplet gap provides high quantum yield of singlet oxygen.

Highly efficient triplet photosensitizers (PSs) have attracted increasing attention in cancer photodynamic therapy where photo-induced reactive oxygen species (ROSs, such as singlet oxygen) are produced via singlet-triplet intersystem crossing (ISC) of the excited photosensitizer to kill cancer cells. However, most PSs exhibit the fatal defect of a generally less-than-1% efficiency of ISC and low yield of ROSs, and this defect strongly impedes their clinical application. In the current work, a new strategy to enhance the ISC and high phototherapy efficiency has been developed, based on the molecular design of a thio-pentamethine cyanine dye (TCy5) as a photosensitizer. The introduction of an electron-withdrawing group at the meso-position of TCy5 could dramatically reduce the singlet-triplet energy gap (ΔE st) value (from 0.63 eV to as low as 0.14 eV), speed up the ISC process (τ ISC = 1.7 ps), prolong the lifetime of the triplet state (τ T = 319 µs) and improve singlet oxygen (1O2) quantum yield to as high as 99%, a value much higher than those of most reported triplet PSs. Further in vitro and in vivo experiments have shown that TCy5-CHO, with its efficient 1O2 generation and good biocompatibility, causes an intense tumor ablation in mice. This provides a new strategy for designing ideal PSs for cancer photo-therapy.

Real-time lane detection model based on non bottleneck skip residual connections and attention pyramids.

The security of car driving is of interest due to the growing number of motor vehicles and frequent occurrence of road traffic accidents, and the combination of advanced driving assistance system (ADAS) and vehicle-road cooperation can prevent more than 90% of traffic accidents. Lane detection, as a vital part of ADAS, has poor real-time performance and accuracy in multiple scenarios, such as road damage, light changes, and traffic jams. Moreover, the sparse pixels of lane lines on the road pose a tremendous challenge to the task of lane line detection. In this study, we propose a model that fuses non bottleneck skip residual connections and an improved attention pyramid (IAP) to effectively obtain contextual information about real-time scenes and improve the robustness and real-time performance of current lane detection models. The proposed model modifies the efficient residual factorized pyramid scene parsing network (ERF-PSPNet) and utilizes skip residual connections in non bottleneck-1D modules. A decoder with an IAP provides high-level feature maps with pixel-level attention. We add an auxiliary segmenter and a lane predictor side-by-side after the encoder, the former for lane prediction and the latter to assist with semantic segmentation for classification purposes, as well as to solve the gradient disappearance problem. On the CULane dataset, the F1 metric reaches 92.20% in the normal scenario, and the F1 metric of the model is higher than the F1 metrics of other existing models, such as ERFNet-HESA, ENet_LGAD, and DSB+LDCDI, in normal, crowded, night, dazzling light and no line scenarios; in addition, the mean F1 of the nine scenarios reached 74.10%, the runtime (time taken to test 100 images) of the model was 5.88 ms, and the number of parameters was 2.31M, which means that the model achieves a good trade-off between real-time performance and accuracy compared to the current best results (i.e., a running time of 13.4 ms and 0.98M parameters).

"Internal and External Combined" Nonradiative Decay-Based Nanoagents for Photoacoustic Image-Guided Highly Efficient Photothermal Therapy.

Rational manipulation of nonradiative decay channels is of crucial significance to improve photothermal conversion efficiency (PCE) and design photothermal agents. We first used the "internal and external combined" nonradiative decay strategy to enhance PCE. Specifically, organic IR-Y6 NPs with strong NIR absorption and high molar extinction coefficient were prepared and characterized. By means of TD-DFT calculations and fs-TA spectroscopy, the dual nonradiative decay channels composed of the free rotor (external strategy) and ultrafast dark excited states (DESs) between S0 and S1 states (internal strategy) were proved, which significantly enhanced PCE, up to 66%. IR-Y6 NPs were applied to a mice tumor model for photoacoustic image-guided photothermal therapy, showing complete tumor ablation ability and good biocompatibility for the normal organs. This work is of significance to deeply understand the nonradiation decay mechanism and rational design of high-performance PTT agents.

Dexmedetomidine attenuates acute kidney injury in children undergoing congenital heart surgery with cardiopulmonary bypass by inhibiting the TLR3/NF-κB signaling pathway.

OBJECTIVE: To investigate the effect of dexmedetomidine (DMED) on acute kidney injury in children undergoing congenital heart surgery (CHS) with cardiopulmonary bypass (CPB). METHODS: The children undergoing CHS with CPB were randomized to the control and the DMED groups. The children in the DMED group were injected with DMED (1 µg/kg) followed by DMED infusion (0.5 µg/kg/h) until 12 h after operation; the controls received normal saline. Markers were detected before operation (T0), 30 min after anesthesia induction (T1), and at 24 h, 48 h, and 72 h after operation (T2, T3, T4). RESULTS: The heart rate and mean arterial pressure in the DMED group decreased at T1 and differed from controls at T1-T3 (all P<0.05). No intergroup differences were observed in the central venous pressure and caspase-3 level (all P>0.05). The DMED group had higher central venous pressure at T3 than at T0 (P<0.05). At T2-T4, the DMED group had lower percentages of TLR3+ cells than the controls (all P<0.05). In the DMED group, the percentagesof TLR3+ cells decreased with time; whereas in the control group, the percentage increased with time (all P<0.05). Compared with the controls, the DMED group had lower levels of NF-κB and TLR3 at T2-T4, lower levels of sCr, IL-1ß, and TNF-α at T3-T4, and lower incidence of AKI at T3 (all P≤0.01). CONCLUSION: DMED can reduce the risk of AKI in children undergoing CHS with CPB, which may be because DMED can inhibit TLR3/NF-κB signaling and its downstream inflammatory mediators.

Functionalized polyoxometalate microspheres ensure selective adsorption of phosphoproteins and glycoproteins.

Lacunary polyoxometalate (POM), [PW9O34]9-, grafts with a boronic acid group attached via an organosilane bridge assemble into microspheres, PW9-Si-APBA. The oxygen-rich and hydrophilic surface of POM facilitates the binding of phosphate groups in phosphoproteins and glycans in glycoproteins. While the metal-oxo in POM provides π-π interactions with the phosphate groups of phosphoproteins, the boronic acid group specifically binds to glycoproteins via the cis-diols of glycans. Therefore, these multi-driving forces ensure the selective adsorption of phosphoproteins and glycoproteins by PW9-Si-APBA microspheres in biological sample matrixes, even in the presence of very high protein abundance, i.e., BSA, at mass ratio of ß-ca/IgG/OVA/BSA = 1 : 1 : 1 : 200.

Chondroitin sulfate-enriched hierarchical multichannel polydopamine nanoparticles with ultrahigh sorption capacity for separation of low-density lipoprotein.

A hierarchical multichannel polydopamine (HMPDA) nanoparticle with ample chondroitin sulfate (CS) is fabricated via modification of the silane coupling agent (APTES), followed by grafting CS on the unique bicontinuous open channels of HMPDA through amidation reaction. The obtained nanoparticles with both mesopores and macropores, abbreviated as HMPDA-A-CS15, possess a total pore volume of 0.3398 cm3 g-1, and a large surface area up to 69.10 m2 g-1. The as-prepared HMPDA-A-CS15 exhibits significantly enhanced selectivity for the separation of LDL, which is attributed to the specific recognition effect of CS for LDL. Furthermore, the unique large open channels endow the HMPDA-A-CS15 nanoparticles with a gratifying sorption capacity (1015.2 mg g-1) for LDL adsorption. The captured LDL can be stripped using 0.5% (v/v) ammonia solution with the advantage of easy atomization in downstream mass spectrometry (MS) analyses, and a recovery of 71.7% is achieved. Moreover, HMPDA-A-CS15 is further employed in the enrichment of LDL, which can be separated from the complex serum of simulated hypercholesterolemia patients with a favorable adsorption performance, as illustrated by the SDS-PAGE technique.

A Salt Stimulus-Responsive Nanohydrogel for Controlled Fishing Low-Density Lipoprotein with Superior Adsorption Capacity.

A salt-responsive nanoplatform is constructed through a simple tactic by tethering zwitterionic nanohydrogels (NGs) on a carboxylated silica (SiO2-COOH) framework. Chondroitin sulfate (CS), with a specific recognition effect for low-density lipoprotein (LDL), is modified to NGs by amidation reaction. Water retention and swelling properties of NGs are greatly enhanced in a saline environment attributed to the anti-polyelectrolyte effect. It endows the SiO2-NGs-CS framework a sensitive salt-responsive property, and thus, more CS moieties are exposed. The controlled adsorption of LDL with an adsorption efficiency of 7.2 to 93% is achieved by adjusting the concentration of MgCl2 from 0 to 0.1 mol L-1. SiO2-NGs-CS exhibits excellent adsorption capacity for fishing LDL, acquiring the highest adsorption capacity of 898.1 mg g-1. Moreover, SiO2-NGs-CS shows superior selectivity to the other three proteins with similar isoelectric points (pIs) to LDL. The captured LDL is readily stripped by 0.2% (m/m) SDS with a recovery of 95.4%. The superior separation performance of SiO2-NGs-CS is demonstrated by the isolation and selective discrimination of LDL from the simulated serum of hypercholesterolemia patients, as illustrated by sodium dodecyl sulfate polyacrylamide gel electrophoresis assays.

[Corrigendum] Sevoflurane post­conditioning reduces rat myocardial ischemia reperfusion injury through an increase in NOS and a decrease in phosphorylated NHE1 levels.

Following the publication of the above article, an interested reader drew to the authors' attention that the data shown for the I/R and L­NAME experiments in Fig. 2A appeared to be strikingly similar. After having re­examined their raw data, the authors realized that the data panel of the L­NAME group was inadvertently loaded incorrectly, resulting in a duplication of the I/R data in the Figure. The revised version of Fig. 2, containing the correct data for the L­NAME group in Fig. 2A, is shown below. The authors are grateful to the Editor of International Journal of Molecular Medicine for granting them the opportunity to publish this Corrigendum, and stress that this error did not significantly affect either the results or the conclusions of the paper. All the authors agree with the publication of this Corrigendum, and apologize to the readership for any inconvenience caused. [the original article was published in International Journal of Molecular Medicine 36: 1529-1537, 2015; DOI: 10.3892/ijmm.2015.2366].