Fluorophore-assisted Carbohydrate Electrophoresis Research Articles

N-glycan as new potential biomarker for predicting treatment response in patients with type 2 diabetes mellitus.

To investigate the N-glycans related to the metformin efficacy in patients with type 2 diabetes mellitus (T2DM). We enrolled 141healthy controls and 195 newly diagnosed T2DM patients treated with metformin for 3 months. Serum N-glycan profile was determined by DNA sequencer - assisted fluorophore-assisted carbohydrate electrophoresis (DSA-FACE). The N-glycan model was established by logistic regression analysis. Receiver operating characteristic curve (ROC) analysis was used to analyze the predictive power of the N-glycan model for metformin efficacy. The abundances of several N-glycans in serum of T2DM patients at baseline were significantly different from those of healthy controls and tended to recover the N-glycan of controls after 3 months treatment. Serum N-glycans changes were more significant in the good response group (FPG <7 mmol/L) after metformin treatment. In addition, the abundance of peak9 at baseline had an opposite tendency between HbA1c increased and decreased groups post-treatment, which could be a biomarker for predicting metformin efficacy. Peak9 combined with other 11 N-glycans at baseline was used to establish the predictive model to distinguish non-response from response patients (AUROC = 0.780, sensitivity = 70.6% and specificity = 77.5%). Serum N-glycans may have potential value as biomarkers for indicating the efficacy of metformin.

Unveiling the Enigmatic nature of six neglected Amazonian Leishmania (Viannia) species using the hamster model: Virulence, Histopathology and prospection of LRV1.

American tegumentary leishmaniasis (ATL) is highly endemic in the Amazon basin and occurs in all South American countries, except Chile and Uruguay. Most Brazilian ATL cases are due to Leishmania (Viannia) braziliensis, however other neglected Amazonian species are being increasingly reported. They belong to the subgenus L. (Viannia) and information on suitable models to understand immunopathology are scarce. Here, we explored the use of the golden hamster Mesocricetus auratus and its macrophages as a model for L. (Viannia) species. We also studied the interaction of parasite glycoconjugates (LPGs and GIPLs) in murine macrophages. The following strains were used: L. (V.) braziliensis (MHOM/BR/2001/BA788), L. (V.) guyanensis (MHOM/BR/85/M9945), L. (V.) shawi (MHOM/BR/96/M15789), L. (V.) lindenbergi (MHOM/BR/98/M15733) and L. (V.) naiffi (MDAS/BR/79/M5533). In vivo infections were initiated by injecting parasites into the footpad and were followed up at 20- and 40-days PI. Parasites were mixed with salivary gland extract (SGE) from wild-captured Nyssomyia neivai prior to in vivo infections. Animals were euthanized for histopathological evaluation of the footpads, spleen, and liver. The parasite burden was evaluated in the skin and draining lymph nodes. In vitro infections used resident peritoneal macrophages and THP-1 monocytes infected with all species using a MOI (1:10). For biochemical studies, glycoconjugates (LPGs and GIPLs) were extracted, purified, and biochemically characterized using fluorophore-assisted carbohydrate electrophoresis (FACE). They were functionally evaluated after incubation with macrophages from C57BL/6 mice and knockouts (TLR2-/- and TLR4-/-) for nitric oxide (NO) and cytokine/chemokine production. All species, except L. (V.) guyanensis, failed to generate evident macroscopic lesions 40 days PI. The L. (V.) guyanensis lesions were swollen but did not ulcerate and microscopically were characterized by an intense inflammatory exudate. Despite the fact the other species did not produce visible skin lesions there was no or mild pro-inflammatory infiltration at the inoculation site and parasites survived in the hamster skin/lymph nodes and even visceralized. Although none of the species caused severe disease in the hamster, they differentially infected peritoneal macrophages in vitro. LPGs and GIPLs were able to differentially trigger NO and cytokine production via TLR2/TLR4 and TLR4, respectively. The presence of a sidechain in L. (V.) lainsoni LPG (type II) may be responsible for its higher proinflammatory activity. After Principal Component analyses using all phenotypic features, the clustering of L. (V.) lainsoni was separated from all the other L. (Viannia) species. We conclude that M. auratus was a suitable in vivo model for at least four dermotropic L. (Viannia) species. However, in vitro studies using peritoneal cells are a suitable alternative for understanding interactions of the six L. (Viannia) species used here. LRV1 presence was found in L. (V.) guyanensis and L. (V.) shawi with no apparent correlation with virulence in vitro and in vivo. Finally, parasite glycoconjugates were able to functionally trigger various innate immune responses in murine macrophages via TLRs consistent with their inflammatory profile in vivo.

A novel model based on serum N-glycan markers for evaluating stage of liver necroinflammation in treatment-naïve chronic hepatitis B patients.

This study aimed to establish a novel noninvasive model based on the serum N-glycan spectrum for providing an objective value for determining the stage of liver necroinflammation related to chronic hepatitis B (CHB) patients. N-glycan profiles of the sera of 295 treatment-naïve CHB patients were analyzed. N-glycan profiles were tested for different liver necroinflammation stages using DNA sequence-assisted fluorophore-assisted carbohydrate electrophoresis. A serum N-glycan model named N-glycan-LI(NGLI) using support vector machine was selected to evaluate the classification of liver necroinflammation (G < 2 and G ≥ 2). The area under the receiver operating characteristic curves (AUROCs) was 0.898 (training set, n = 236) and 0.911 (validation set, n = 59) regardless of the stage of liver fibrosis (AUROC = 0.886 and 0.926, respectively, in S < 2 and S ≥ 2 group). The NGLI correspondingly had the highest specificity (SP) of 90.79% and negative predictive value of 92.00% in an inactive stage (including immune-tolerant [IT] and inactive-carrier [IC] stage), had the highest positive predictive value of 95.18% in stage immune-active, and had the highest SPof 93.94% in grey zone IT + IC. N-glycan profiles appear to correlate well with hepatic necroinflammation in CHB when compared with liver biopsy. The newly developed model appears to reliably predict liver damage in naïve-treatment patients with CHB.

Starch molecular structure and diabetes

Starch is a primary source of food energy for human beings. Its chain-length distribution (CLD) is a major structural feature influencing physiologically-important properties, such as digestibility and palatability, of starch-containing foods. Diabetes, which is of epidemic proportions in many countries, is related to the rate of starch digestion in foods. Isoforms of three biosynthesis enzymes, starch synthase, starch branching enzymes and debranching enzymes, control the CLDs of starch, which can be measured by methods such as size-exclusion chromatography and fluorophore-assisted carbohydrate electrophoresis. Fitting observed CLDs to biosynthesis-based models based on the ratios of the activities of those isoforms yields biosynthesis-related parameters describing CLD features. This review examines CLD measurement, fitting CLDs to models, relations between CLDs, the occurrence and management of diabetes, and how plant breeders can develop varieties to optimize digestibility and palatability together, to develop starch-based foods with both a lower risk of diabetes and acceptable taste.

Using molecular fine structure to identify optimal methods of extracting fungal glycogen

Glycogen is a highly branched glucose polymer that is an energy storage material in fungi and animals. Extraction of glycogen from its source in a way that minimizes its molecular degradation is essential to investigate its native structure. In this study, the following extraction methods were compared: sucrose gradient density ultracentrifugation, thermal alkali, hot alcohol and hot water extractions. Molecular-size and chain-length distributions of glycogen were measured by size-exclusion chromatography and fluorophore-assisted carbohydrate electrophoresis, respectively. These two fine-structure features are the most likely structural characteristics to be degraded during extraction. The results show that the thermal alkali, hot alcohol and hot water extractions degrade glycogen molecular size and/or chain-length distributions, and that sucrose gradient density ultracentrifugation with neither high temperature nor alkaline treatment is the most suitable method for fungal glycogen extraction.

Core-shell nanoparticles from fucoidan neoglycans: Synthesis, characterization with capability of glycomimetic ligands for Campylobacter jejuni

Campylobacteriosis produced by Campylobacter jejuni is the main cause of bacterial gastroenteritis worldwide and the binding of this pathogen to fucosylated glycoconjugates expressed on host cells is a determining factor for the infection. The aim of this work was to synthesize and characterize core-shell nanoparticles from fucoidan neoglycans as potential glycomimetic ligands for Campylobacter jejuni. Fucoidan oligosaccharides (OFuc) were obtained by mild hydrolysis of fucoidan. OFuc were separated by ultrafiltration, characterized by dynamic light scattering (DLS), infrared spectroscopy (FTIR), Fluorophore-assisted carbohydrate electrophoresis and lectin recognition. The OFuc1 were then conjugated with bovine serum albumin (BSA) by controlled glycation. The formation of fucosylated BSA (BSA-OFuc1) was confirmed by FTIR, increased surface charge, polyacrylamide gel electrophoresis, mass spectrometry and Ulex europaeus I lectin recognition. Afterwards core-shell BSA/BSA-OFuc1 nanoparticles were obtained by crosslinking. These nanoparticles presented hemispherical form with size and charge distribution of 312.1 ± 3.2 nm and -34.4 ± 0.3 mV respectively and were selectively recognized by C. jejuni by an ELISA-like lectin assay (ELLA). These results revel the potential of core-shell nanoparticles from fucoidan neoglycans as glycomimetic ligands for Campylobacter jejuni and open further opportunities to explore potential applications in the pharmaceutic industry.

Periodic changes in chain lengths distribution parameters of wheat starch during endosperm development.

This study analyzed the molecular structure of developing wheat endosperm starch at different stages after anthesis (DAA) using chain length distribution analysis by size exclusion chromatography (SEC) and fluorophore-assisted carbohydrate electrophoresis. Our results revealed periodic changes in the content of both amylose and amylopectin fractions. Specifically, the content of amylose chains with a degree of polymerization (DP)>100 significantly decreased from 5 to 10 DAA (28% to 21%) and from 15 to 20 DAA (29% to 26%), but increased between 10 and 15 DAA (21% to 29%) and 20 to 25 DAA (30.0% to 33%). Conversely, the content of short amylopectin chains with DP≤32 showed the opposite trend. Interestingly, mRNA expression levels of key starch biosynthesis genes did not exhibit periodic changes. These findings contribute to our understanding of starch biosynthesis and provide important insights for the development of starch-based products.

Separation and Visualization of Glycans by Fluorophore-Assisted Carbohydrate Electrophoresis.

Fluorophore-assisted carbohydrate electrophoresis (FACE) is a method in which a fluorophore is covalently attached to the reducing end of carbohydrates, thereby allowing high-resolution separation by electrophoresis and visualization. This method can be used for carbohydrate profiling and sequencing, as well as for determining the specificity of carbohydrate-active enzymes. Here we describe and demonstrate the use of FACE to separate and visualize the glycans released following digestion of oligosaccharides by glycoside hydrolases (GHs) using two examples: (i) the digestion of chitobiose by the streptococcal β-hexosaminidase GH20C and (ii) the digestion of glycogen by the GH13 member SpuA.

A Rapid Protocol for Preparing 8-Aminopyrene-1,3,6-Trisulfonate-Labeled Glycans for Capillary Electrophoresis-Based Enzyme Assays.

Purified glycan standards are required for glycan arrays, characterizing substrate specificities of glycan-active enzymes, and to serve as retention-time or mobility standards for various separation techniques. This chapter describes a method for the rapid separation, and subsequent desalting, of glycans labeled with the highly fluorescent fluorophore 8-aminopyrene-1,3,6-trisulfonate (APTS). By using fluorophore-assisted carbohydrate electrophoresis (FACE) on polyacrylamide gels, a technique amenable to equipment readily available in most molecular biology laboratories, many APTS-labeled glycans can be simultaneously resolved. Excising specific gel bands containing the desired APTS-labeled glycans, followed by glycan elution from the gel by simple diffusion and subsequent solid-phase extraction (SPE)-based desalting, affords a single glycan species free of excess labeling reagents and buffer components. The described protocol also offers a simple, rapid method for the simultaneous removal of excess APTS and unlabeled glycan material from reaction mixtures. This chapter describes a FACE/SPE procedure ideal for preparing glycans for capillary electrophoresis (CE)-based enzyme assays, as well as for the purification of rare, commercially unavailable glycans from tissue culture samples.

Effects of amylose and amylopectin molecular structures on rheological, thermal and textural properties of soft cake batters

The rheological, thermal and textural properties of batter are critical for the eating and processing quality of soft cake products. Wheat starch molecular structures play an important role on these properties. However, the underlying mechanisms are not well understood. In this study, fluorophore-assisted carbohydrate electrophoresis and size-exclusion chromatography were used to measure amylopectin and amylose chain-length distribution. The obtained data were fitted with two different biosynthesis-based models, resulting in few biologically-meaningful parameters. For cake batter, the rheological, thermal and textural properties were measured by rheometer, differential scanning calorimetry and texture analyser. The length of amylose intermediate to long chains and amylopectin long chains was significantly positively correlated with the viscoelasticity of cake batter. The length of long amylose chains showed a negative correlation with the frequency value of crossover point between G′ and G″ curves. Moreover, different combinations of long amylopectin and intermediate-long amylose chains contributed to the formation of multi-endothermic gelatinization peaks. From flour-water system to flour-lipid-protein system, the main factors determining rheological and thermal properties changed from short amylopectin to long amylopectin and intermediate-long amylose chains. This study provides the first associations between starch molecular fine structure and functional properties of cake batter, which could help food industry breed and select suitable wheat varieties for improved batter quality. • The functional properties of flour-lipid cake batter were investigated in this study. • Long AP & medium and long AM chains are positively correlated with viscoelasticity. • Decrease of long AM chain length increases crossover point x value of rheology curves. • Cake batter shows two endothermic peaks in gelatinization curves. • Chain length distribution of AM is the determining factor for flour-lipid batter.

Degradation of chondroitin sulfate A by a PUL-like operon in Tannerella forsythia.

Advanced periodontitis has been shown to have strong association with the residence of the bacterial consortia known as the red complex comprised by Porphyromonas gingivalis, Tannerella forsythia, and Treponema denticola. T. forsythia shares a distant genetic linkage to Bacteroidetes thetaiotaomicron and may therefore produce analogous polysaccharide utilization loci (PUL) which enable complex carbohydrate degradation, import, and use, although this capacity has yet to be demonstrated. Chondroitin sulfate A is a linear, sulfated carbohydrate linked to periodontal disease as the principal species of glycosaminoglycan appended on the surface of cortical bone of teeth and in supporting dental ligaments. Through genomic comparisons with B. thetaiotaomicron, a new PUL-like operon (Bfo2285-Bfo2295, and Bfo3043) was identified in T. forsythia and the crystal structure of two proteins from this PUL-like operon, Bfo2290 and Bfo2294, were reported using X-ray crystallography. Enzyme kinetics for Bfo2290 were reported using a pH-dependent assay and suggested a Km of 0.75 mg/ml ± 0.60 mg/ml, Kcat of 3.74 min-1 ± 0.88 min-1, and Vmax of 7.48 μM/min ± 1.76 μM/min with partially degraded chondroitin sulfate A. Fluorophore-assisted carbohydrate electrophoresis was used to show the processive degradation of chondroitin sulfate A by the proteins encoded in T. forsythia PUL-like operon, and revealed Bfo2291 and Bfo2290 to be an endolytic chondroitin sulfate A lyase and exolytic ΔDi-4S chondroitin sulfate A sulfatase, respectively.

Effects of drought stress and elevated CO2 on starch fine structures and functional properties in indica rice

The changes in rice starch fine structures and functional properties induced by drought, elevated CO2 (eCO2) and combined treatments remain to be elucidated comprehensively. In this study, starch molecular structures were characterized by size-exclusion chromatography and fluorophore-assisted carbohydrate electrophoresis, and the data from amylopectin chain-length distributions was fitted with a mathematical model to obtain parameters for statistical analysis. Starch crystalline structures, thermal and pasting properties of rice flour were also analyzed. All the treatments decreased the seed setting rate and increased chalky grains, reflecting the abnormal starch accumulation. However, eCO2 partially increased the seed setting rate and chalky grains under drought stress. The stress-treated starch samples had shorter amylopectin short and intermediate chains, the lower degree of ordered structures, but similar amylose content and relative crystallinity. This led to lower onset gelatinization temperature and paste viscosities, which may be responsible for the worse sensory quality of rice grains.

Effect of hybridization on lipophosphoglycan expression in Leishmania major.

Leishmania major is the causative agent of cutaneous leishmaniasis. It is one of the most studied Leishmania species not only during vector interaction but also in the vertebrate host. Lipophosphoglycan (LPG) is the Leishmania multifunctional virulence factor during host-parasite interaction, whose polymorphisms are involved in the immunopathology of leishmaniasis. Although natural hybrids occur in nature, hybridization of L. major strains in the laboratory was successfully demonstrated. However, LPG expression in the hybrids remains unknown. LPGs from parental (Friedlin, Fn and Seidman,Sd) and hybrids (FnSd3, FnSd4A, FnSd4B, and FnSd6F) were extracted, purified, and their repeat units analyzed by immunoblotting and fluorophore-assisted carbohydrate electrophoresis. Parental strains have distinct profiles in LPG expression, and a mixed profile was observed for all hybrids. Variable levels of NO production by macrophages were detected after LPG exposure (parental and hybrids) and were strain specific.

Determination of Glucan Chain Length Distribution of Glycogen Using the Fluorophore-Assisted Carbohydrate Electrophoresis (FACE) Method

Glycogen particles are branched polysaccharides composed of linear chains of glucosyl units linked by α-1,4 glucoside bonds. The latter are attached to each other by α-1,6 glucoside linkages, referred to as branch points. Among the different forms of carbon storage (i.e., starch, β-glucan), glycogen is probably one of the oldest and most successful storage polysaccharides found across the living world. Glucan chains are organized so that a large amount of glucose can quickly be stored or fueled in a cell when needed. Numerous complementary techniques have been developed over the last decades to solve the fine structure of glycogen particles. This article describes Fluorophore-Assisted Carbohydrate Electrophoresis (FACE). This method quantifies the population of glucan chains that compose a glycogen particle. Also known as chain length distribution (CLD), this parameter mirrors the particle size and the percentage of branching. It is also an essential requirement for the mathematical modeling of glycogen biosynthesis.

Determination of Glucan Chain Length Distribution of Glycogen Using the Fluorophore-Assisted Carbohydrate Electrophoresis (FACE) Method.

Glycogen particles are branched polysaccharides composed of linear chains of glucosyl units linked by α-1,4 glucoside bonds. The latter are attached to each other by α-1,6 glucoside linkages, referred to as branch points. Among the different forms of carbon storage (i.e., starch, β-glucan), glycogen is probably one of the oldest and most successful storage polysaccharides found across the living world. Glucan chains are organized so that a large amount of glucose can quickly be stored or fueled in a cell when needed. Numerous complementary techniques have been developed over the last decades to solve the fine structure of glycogen particles. This article describes Fluorophore-Assisted Carbohydrate Electrophoresis (FACE). This method quantifies the population of glucan chains that compose a glycogen particle. Also known as chain length distribution (CLD), this parameter mirrors the particle size and the percentage of branching. It is also an essential requirement for the mathematical modeling of glycogen biosynthesis.

Proteomic, mechanical, and biochemical characterization of cartilage development

The objective of this work is to examine the development of porcine cartilage by analyzing its mechanical properties, biochemical content, and proteomics at different developmental stages. Cartilage from the knees of fetal, neonatal, juvenile, and mature pigs was analyzed using histology, mechanical testing, biochemical assays, fluorophore-assisted carbohydrate electrophoresis, and bottom-up proteomics. Mature cartilage has 2.2-times the collagen per dry weight of fetal cartilage, and fetal cartilage has 2.1-times and 17.9-times the glycosaminoglycan and DNA per dry weight of mature cartilage, respectively. Tensile and compressive properties peak in the juvenile stage, with a tensile modulus 4.7-times that of neonatal. Proteomics analysis reveals increases in collagen types II and III, while collagen types IX, XI, and XIV, and aggrecan decrease with age. For example, collagen types IX and XI decrease 9.4-times and 5.1-times, respectively from fetal to mature. Mechanical and biochemical measurements have their greatest developmental changes between the neonatal and juvenile stages, where mechanotransduction plays a major role. Bottom-up proteomics serves as a powerful tool for tissue characterization, showing results beyond those of routine biochemical analysis. For example, proteomic analysis shows significant drops in collagen types IX, XI, and XIV throughout development, which shows insight into the permanence of cartilage's matrix. Changes in overall glycosaminoglycan content compared to aggrecan and link protein indicate non-enzymatic degradation of aggrecan structures or hyaluronan in mature cartilage. In addition to tissue characterization, bottom-up proteomics techniques are critical in tissue engineering efforts toward repair or regeneration of cartilage in animal models. Statement of significanceIn this study, the development of porcine articular cartilage is interrogated through biomechanical, biochemical, and proteomic techniques, to determine how mechanics and extracellular matrix composition change from fetal to mature cartilage. For the first time, a bottom-up proteomics approach is used to reveal a wide variety of protein changes through aging; for example, the collagen subtype composition of the cartilage increases in collagen types II and III, and decreases in collagen types IX, XI, and XIV. This analysis shows that bottom-up proteomics is a critical tool in tissue characterization, especially toward developing a deeper understanding of matrix composition and development in tissue engineering studies.

Functional Interactions between Enzymes Involved in Amylose and Amylopectin Biosynthesis in Rice Based on Mathematical Models.

Starch biosynthesis is controlled by multiple enzymes, including granule-bound starch synthase I (GBSSI), soluble starch synthases (SSs), branching enzymes (BEs), and debranching enzymes (DBEs). Although the role of individual isoforms has been primarily elucidated, the precise information about how they work together in the synthesis of specific amylose and amylopectin chains is still unclear. In this study, starch molecular chain-length distributions (CLDs) of five rice varieties with different amylose contents were measured by fluorophore-assisted carbohydrate electrophoresis and size-exclusion chromatography and fitted with two mathematical models, and the protein abundance of 11 starch synthesis-related enzymes was measured by western blotting. The correlation between model fitting parameters of amylose and amylopectin CLDs demonstrated that amylose and amylopectin syntheses are closely dependent. GBSSI could interact with BEI, BEIIb, SSIIa, SSIVb, ISA1, PUL, and PHO1 to synthesize the amylopectin intermediate and long chains as well as amylose chains. In addition, the interaction among SSIVb and SSI, SSIIa, BEI, BEIIb, ISA1, and PUL possibly suggests that SSIVb assists them to synthesize the amylopectin chains. The results can help understand the mechanisms about the functional interaction of different enzyme isoforms in starch biosynthesis.

Serum N-glycan profiling as a diagnostic biomarker for the identification of hepatitis B virus-associated hepatocellular carcinoma.

Changes in N-glycosylation of proteins are thought to play a key role in cancer. This study aims to investigate the changes in the serum N-glycan profiles of patients with hepatitis B virus (HBV)-related liver disease, and to evaluate the role of N-glycan markers in the noninvasive diagnosis of hepatocellular carcinoma (HCC). Serum samples were available for 21 patients with HCC, 20 patients with liver cirrhosis (LC), 20 patients with chronic hepatitis B (CHB), and 20 healthy subjects. Serum N-glycans were released and analyzed using DNA sequencer-assisted fluorophore-assisted carbohydrate electrophoresis (DSA-FACE). Serum AFP was determined by electrochemiluminescence (ECL) (AFP reference value range: <10 ng/mL). There were characteristic changes in the serum N-glycan profiles of patients with HBV-related liver disease, including NA2FB, NA3, and NA3Fb. NA2FB was the most abundant in LC patients, while NA3Fb abundance was the highest in HCC patients. For HCC screening in patients, especially in patients with LC, the sensitive of Log peak 9 (94.4%) and Log (peak 9/peak 7) (88.9%) were better than alpha-fetoprotein (AFP) (33.3-61.1%), and their specificity was similar to that of AFP. The receiver operating characteristic (ROC) curve showed that the accuracy of Log peak 9 (AUC: 0.81±0.07) and Log (peak 9/peak 7) (AUC: 0.87±0.06) was better than that of AFP (AUC: 0.72±0.09), while the accuracy of AFP combined with the above 2 indexes was better than that of a single index. Moreover, Log (peak 9/peak 7) combined with AFP (AUC: 0.89±0.06) had the best accuracy in the diagnosis of HCC. Our research indicates that N-glycan may serve a new, valuable, and noninvasive alternative method for diagnosing HCC, and it may be a supplement to AFP in the diagnosis of HCC in patients with HBV-related liver disease.

Integration of a miniaturized DMMB assay with high-throughput screening for identifying regulators of proteoglycan metabolism

Defective biosynthesis or function of proteoglycans causes pathological conditions in a variety of tissue systems. Osteoarthritis (OA) is a prevalent degenerative joint disorder characterized by progressive cartilage destruction caused by imbalanced proteoglycan synthesis and degradation. Identifying agents that regulate proteoglycan metabolism may benefit the development of OA-modifying therapeutics. High-throughput screening (HTS) of chemical libraries has paved the way for achieving this goal. However, the implementation and adaptation of HTS assays based on proteoglycan measurement remain underexploited. Using primary porcine chondrocytes as a model, we report a miniaturized dimethyl-methylene blue (DMMB) assay, which is commonly used to quantitatively evaluate sulfated glycosaminoglycan (GAG) content, with an optimized detection range and reproducibility and its integration with HTS. Treatment with TGF-β1 and IL1-α, known as positive and negative proteoglycan regulators, respectively, supported the assay specificity. A pre-test of chemical screening of 960 compounds identified both stimulators (4.48%) and inhibitors (6.04%) of GAG production. Fluorophore-assisted carbohydrate electrophoresis validated the activity of selected hits on chondroitin sulfate expression in an alginate culture system. Our findings support the implementation of this simple colorimetric assay in HTS to discover modifiers of OA or other diseases related to dysregulated proteoglycan metabolism.

N‐glycan profiling alterations of serum and immunoglobulin G in immune thrombocytopenia

BackgroundThe glycosylation alterations of serum and IgG are involved in a variety of autoimmune and inflammatory diseases and have shown great potential in biomarker field. The diagnosis of immune thrombocytopenia (ITP) is exclusive. Our study aimed to discover the potential glyco‐biomarkers for auxiliary diagnosis of ITP.MethodsThe serum samples were obtained from 61 ITP patients and 35 healthy controls, and IgG samples were purified from 34 out of 61 ITP patients and 35 healthy controls. DNA sequencer‐assisted fluorophore‐assisted carbohydrate electrophoresis (DSA‐FACE) was used to analyze serum and IgG N‐glycan profiling.Results6 of 12 serum N‐glycan peaks, 6 of 7 IgG N‐glycan peaks, serum fucosylation, and IgG galactosylation were significantly different between ITP patients and healthy controls (p < 0.05). IgG peak 7 showed good diagnostic efficacy for discriminating ITP patients from healthy individuals (AUC 0.967). ITP patients with severe thrombocytopenia had a significantly lower serum fucosylation than ITP patients with mild and moderate thrombocytopenia (p < 0.05). Serum fucosylation and serum peak 5 were correlated with platelet counts in ITP patients with severe thrombocytopenia, and the absolute values of correlation coefficient were both over 0.5.ConclusionsThe specific N‐glycan patterns of serum and IgG were observed in ITP patients. IgG peak 7 was a potential biomarker for auxiliary diagnosis of ITP.