scholarly journals Proteomics Investigations of Potential Protein Biomarkers in Sera of Rabbits Infected With Schistosoma japonicum

Author(s):  
Nian-Nian Bi ◽  
Song Zhao ◽  
Jian-Feng Zhang ◽  
Ying Cheng ◽  
Chen-Yang Zuo ◽  
...  

Schistosomiasis is a chronic parasitic disease that continues to be a pressing public health problem in many developing countries. The primary pathological damage from the disease is granuloma and fibrosis caused by egg aggregation, and early treatment can effectively prevent the occurrence of liver fibrosis. Therefore, it is very important to identify biomarkers that can be used for early diagnosis of Schistosoma japonicum infection. In this study, a label-free proteomics method was performed to observe the alteration of proteins before infection, 1 and 6 weeks after infection, and 5 and 7 weeks after treatment. A total of 10 proteins derived from S. japonicum and 242 host-derived proteins were identified and quantified as significantly changed. Temporal analysis was carried out to further analyze potential biomarkers with coherent changes during infection and treatment. The results revealed biological process changes in serum proteins compared to infection and treatment groups, which implicated receptor-mediated endocytosis, inflammatory response, and acute-phase response such as mannan-binding lectin serine peptidase 1, immunoglobulin, and collagen. These findings offer guidance for the in-depth analysis of potential biomarkers of schistosomiasis, host protein, and early diagnosis of S. japonicum and its pathogenesis. Data are available via ProteomeXchange with identifier PXD029635.

2019 ◽  
Vol 17 ◽  
Author(s):  
Xiaoli Yu ◽  
Lu Zhang ◽  
Na Li ◽  
Peng Hu ◽  
Zhaoqin Zhu ◽  
...  

Aim: We aimed to identify new plasma biomarkers for the diagnosis of Pulmonary tuberculosis. Background: Tuberculosis is an ancient infectious disease that remains one of the major global health problems. Until now, effective, convenient, and affordable methods for diagnosis of Pulmonary tuberculosis were still lacked. Objective: This study focused on construct a label-free LC-MS/MS based comparative proteomics between six tuberculosis patients and six healthy controls to identify differentially expressed proteins (DEPs) in plasma. Method: To reduce the influences of high-abundant proteins, albumin and globulin were removed from plasma samples using affinity gels. Then DEPs from the plasma samples were identified using a label-free Quadrupole-Orbitrap LC-MS/MS system. The results were analyzed by the protein database search algorithm SEQUEST-HT to identify mass spectra to peptides. The predictive abilities of combinations of host markers were investigated by general discriminant analysis (GDA), with leave-one-out cross-validation. Results: A total of 572 proteins were identified and 549 proteins were quantified. The threshold for differentially expressed protein was set as adjusted p-value < 0.05 and fold change ≥1.5 or ≤0.6667, 32 DEPs were found. ClusterVis, TBtools, and STRING were used to find new potential biomarkers of PTB. Six proteins, LY6D, DSC3, CDSN, FABP5, SERPINB12, and SLURP1, which performed well in the LOOCV method validation, were termed as potential biomarkers. The percentage of cross-validated grouped cases correctly classified and original grouped cases correctly classified is greater than or equal to 91.7%. Conclusion: We successfully identified five candidate biomarkers for immunodiagnosis of PTB in plasma, LY6D, DSC3, CDSN, SERPINB12, and SLURP1. Our work supported this group of proteins as potential biomarkers for pulmonary tuberculosis, and be worthy of further validation.


2016 ◽  
Vol 2016 ◽  
pp. 1-29 ◽  
Author(s):  
Jiankun Yang ◽  
Lichao Yang ◽  
Baixue Li ◽  
Weilong Zhou ◽  
Sen Zhong ◽  
...  

Background.Chronic infection with hepatitis B virus (HBV) is a leading cause of cirrhosis and hepatocellular carcinoma. By traditional Chinese medicine (TCM) pattern classification, damp heat stasis in the middle-jiao (DHSM) and liver Qi stagnation and spleen deficiency (LSSD) are two most common subtypes of CHB.Results.In this study, we employed iTRAQ proteomics technology to identify potential serum protein biomarkers in 30 LSSD-CHB and 30 DHSM-CHB patients. Of the total 842 detected proteins, 273 and 345 were differentially expressed in LSSD-CHB and DHSM-CHB patients compared to healthy controls, respectively. LSSD-CHB and DHSM-CHB shared 142 upregulated and 84 downregulated proteins, of which several proteins have been reported to be candidate biomarkers, including immunoglobulin (Ig) related proteins, complement components, apolipoproteins, heat shock proteins, insulin-like growth factor binding protein, and alpha-2-macroglobulin. In addition, we identified that proteins might be potential biomarkers to distinguish LSSD-CHB from DHSM-CHB, such as A0A0A0MS51_HUMAN (gelsolin), PON3_HUMAN, Q96K68_HUMAN, and TRPM8_HUMAN that were differentially expressed exclusively in LSSD-CHB patients and A0A087WT59_HUMAN (transthyretin), ITIH1_HUMAN, TSP1_HUMAN, CO5_HUMAN, and ALBU_HUMAN that were differentially expressed specifically in DHSM-CHB patients.Conclusion.This is the first time to report serum proteins in CHB subtype patients. Our findings provide potential biomarkers can be used for LSSD-CHB and DHSM-CHB.


2021 ◽  
Vol 2 (2) ◽  
pp. 82-93
Author(s):  
Luca Digiacomo ◽  
Francesca Giulimondi ◽  
Daniela Pozzi ◽  
Alessandro Coppola ◽  
Vincenzo La Vaccara ◽  
...  

Due to late diagnosis, high incidence of metastasis, and poor survival rate, pancreatic cancer is one of the most leading cause of cancer-related death. Although manifold recent efforts have been done to achieve an early diagnosis of pancreatic cancer, CA-19.9 is currently the unique biomarker that is adopted for the detection, despite its limits in terms of sensitivity and specificity. To identify potential protein biomarkers for pancreatic ductal adenocarcinoma (PDAC), we used three model liposomes as nanoplatforms that accumulate proteins from human plasma and studied the composition of this biomolecular layer, which is known as protein corona. Indeed, plasma proteins adsorb on nanoparticle surface according to their abundance and affinity to the employed nanomaterial, thus even small differences between healthy and PDAC protein expression levels can be, in principle, detected. By mass spectrometry experiments, we quantified such differences and identified possible biomarkers for PDAC. Some of them are already known to exhibit different expressions in PDAC proteomes, whereas the role of other relevant proteins is still not clear. Therefore, we predict that the employment of nanomaterials and their protein corona may represent a useful tool to amplify the detection sensitivity of cancer biomarkers, which may be used for the early diagnosis of PDAC, with clinical implication for the subsequent therapy in the context of personalized medicine.


2020 ◽  
Vol 22 (1) ◽  
pp. 160
Author(s):  
Jerran Santos ◽  
Sibasish Dolai ◽  
Matthew B. O’Rourke ◽  
Fei Liu ◽  
Matthew P. Padula ◽  
...  

The differentiation of human adipose derived stem cells toward a neural phenotype by small molecules has been a vogue topic in the last decade. The characterization of the produced cells has been explored on a broad scale, examining morphological and specific surface protein markers; however, the lack of insight into the expression of functional proteins and their interactive partners is required to further understand the extent of the process. The phenotypic characterization by proteomic profiling allows for a substantial in-depth analysis of the molecular machinery induced and directing the cellular changes through the process. Herein we describe the temporal analysis and quantitative profiling of neural differentiating human adipose-derived stem cells after sub-proteome enrichment using a bisindolylmaleimide chemical probe. The results show that proteins enriched by the Bis-probe were identified reproducibly with 133, 118, 126 and 89 proteins identified at timepoints 0, 1, 6 and 12, respectively. Each temporal timepoint presented several shared and unique proteins relative to neural differentiation and their interactivity. The major protein classes enriched and quantified were enzymes, structural and ribosomal proteins that are integral to differentiation pathways. There were 42 uniquely identified enzymes identified in the cells, many acting as hubs in the networks with several interactions across the network modulating key biological pathways. From the cohort, it was found by gene ontology analysis that 18 enzymes had direct involvement with neurogenic differentiation.


2020 ◽  
Vol 22 (1) ◽  
pp. 226
Author(s):  
Víctor J. Álvarez ◽  
Susana B. Bravo ◽  
Maria Pilar Chantada-Vazquez ◽  
Cristóbal Colón ◽  
María J. De Castro ◽  
...  

Mucopolysaccharidosis type IVA (MPS IVA) is a lysosomal storage disease caused by mutations in the N-acetylgalactosamine-6-sulfatase (GALNS) gene. Skeletal dysplasia and the related clinical features of MPS IVA are caused by disruption of the cartilage and its extracellular matrix, leading to a growth imbalance. Enzyme replacement therapy (ERT) with recombinant human GALNS has yielded positive results in activity of daily living and endurance tests. However, no data have demonstrated improvements in bone lesions and bone grow thin MPS IVA after ERT, and there is no correlation between therapeutic efficacy and urine levels of keratan sulfate, which accumulates in MPS IVA patients. Using qualitative and quantitative proteomics approaches, we analyzed leukocyte samples from healthy controls (n = 6) and from untreated (n = 5) and ERT-treated (n = 8, sampled before and after treatment) MPS IVA patients to identify potential biomarkers of disease. Out of 690 proteins identified in leukocytes, we selected a group of proteins that were dysregulated in MPS IVA patients with ERT. From these, we identified four potential protein biomarkers, all of which may influence bone and cartilage metabolism: lactotransferrin, coronin 1A, neutral alpha-glucosidase AB, and vitronectin. Further studies of cartilage and bone alterations in MPS IVA will be required to verify the validity of these proteins as potential biomarkers of MPS IVA.


2007 ◽  
Vol 12 (5) ◽  
pp. 311-317 ◽  
Author(s):  
Vindhya Kunduru ◽  
Shalini Prasad

We demonstrate a technique to detect protein biomarkers contained in vulnerable coronary plaque using a platform-based microelectrode array (MEA). The detection scheme is based on the property of high specificity binding between antibody and antigen similar to most immunoassay techniques. Rapid clinical diagnosis can be achieved by detecting the amount of protein in blood by analyzing the protein's electrical signature. Polystyrene beads which act as transportation agents for the immobile proteins (antigen) are electrically aligned by application of homogenous electric fields. The principle of electrophoresis is used to produce calculated electrokinetic movement among the anti-C-reactive protein (CRP), or in other words antibody funtionalized polystyrene beads. The electrophoretic movement of antibody-functionalized polystyrene beads results in the formation of “Microbridges” between the two electrodes of interest which aid in the amplification of the antigen—antibody binding event. Sensitive electrical equipment is used for capturing the amplified signal from the “Microbridge” which essentially behaves as a conducting path between the two electrodes. The technique circumvents the disadvantages of conventional protein detection methods by being rapid, noninvasive, label-free, repeatable, and inexpensive. The same principle of detection can be applied for any receptor—ligand-based system because the technique is based only on the volume of the analyte of interest. Detection of the inflammatory coronary disease biomarker CRP is achieved at concentration levels spanning over the lower microgram/milliliter to higher order nanogram/milliliter ranges.


2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Wataru Araki ◽  
Kotaro Hattori ◽  
Kazutomi Kanemaru ◽  
Yuma Yokoi ◽  
Yoshie Omachi ◽  
...  

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Irina Lousa ◽  
Maria João Valente ◽  
Susana Rocha ◽  
Sofia D. Viana ◽  
Inês Preguiça ◽  
...  

Abstract Background and Aims The conventionally used biomarkers for chronic kidney disease (CKD) diagnosis are not very sensitive for early diagnosis. Their values become clinically significant only when kidney damage is advanced, and a substantial filtration capacity has been lost. The reliance on these biomarkers may result in a long-time lapse in diagnosis, compromising the earlier use of successful therapeutic interventions to prevent CKD progression and reduce the risk of other common comorbidities. The study of earlier and more sensitive biomarkers for CKD diagnosis is an important medical need. Potentially new biomarkers reflecting different pathophysiological processes underlying CKD, such as changes in renal function, tubulointerstitial injury, inflammation and fibrosis, have been proposed. The use of a panel of biomarkers is likely to be synergetic in detecting CKD, since there are several different mechanisms by which CKD can initiate. Our aim was to identify markers of renal damage/dysfunction and evaluate their sensitivity for CKD detection, in patients at the earlier stages of the disease, stages 1 and 2. Method This study included 32 healthy controls and 29 CKD patients at stages 1 and 2, categorized according to the KDIGO guidelines, using the CKD-EPI equation based on serum creatinine to estimate the glomerular filtration rate (GFR). Causes of CKD in the studied patients were diabetes mellitus (n = 19), polycystic kidney disease (n = 1) and of unknown cause (n = 7) or other (n = 2). Circulating levels of creatinine and β-trace protein (BTP), as markers of renal function; interleukin 6 (IL-6), as a marker of inflammation; tissue inhibitor metalloproteinase 1 (TIMP 1), as a marker of tubulointerstitial injury; pro B-type natriuretic peptide (proBNP), as a marker of cardio-renal dysfunction; and cell-free DNA (cfDNA), as a marker of cellular damage, were evaluated. Results Compared to controls, we found significantly higher values of all studied markers in CKD patients (stage 1 and stage 2): BTP, TIMP-1, IL-6, pro-BNP, and cfDNA. In CKD patients, GFR was negatively correlated with circulating levels of pro-BNP (r = -0.610, P = 0.004, n = 20) and cfDNA (r = -0.408, P = 0.028, n = 29); and, microalbuminuria was positively correlated with circulating levels of BTP (r = 0.465, P = 0.013, n = 28). The biomarker cfDNA was positively correlated with TIMP-1 (r = 0.445, P = 0.16, n = 29) , a marker of tubulointerstitial injury, and with IL-6 (r = 0.670, P &lt; 0.001, n = 29), a marker of inflammation. All patients presented at least two of the studied biomarkers with higher values than the median value presented by controls. Of all studied biomarkers, BTP was the one that was most altered in patients (86.2% presented higher values than the highest value presented by controls). Conclusion Our results suggest that the studied biomarkers are sensitive to the primary response to renal injury, being significantly elevated in the earlier stages of CKD, particularly BTP. Pro-BNP and cfDNA correlate well with disease severity assessed by GFR. The use of a panel comprising several biomarkers, related with different pathophysiological mechanisms underlying CKD initiation and progression, may increase the potential to detect patients at risk, when compared with the evaluation of each biomarker alone. Further validation for the use of these new potential biomarkers requires larger studies with standardized analytical methodologies. Acknowledgments: This work was supported by Applied Molecular Biosciences Unit (UCIBIO) and financed by FEDER COMPETE2020 funds UIDB/04378/2020 and UIDP/04539/2020 (CIBB); by POCI-01-0145-FEDER-007440; by FCT doctoral grant SFRH/BD/145939/2019; by funds from Portugal Regional Coordination and Development Commissions (Norte-01-0145-FEDER-000024).


2009 ◽  
Vol 25 (9) ◽  
pp. 2075-2082 ◽  
Author(s):  
Claudia Garcia Serpa Osorio-de-Castro ◽  
Gabriela Costa Chaves ◽  
Adriana Mendoza Ruiz ◽  
Elaine Silva Miranda ◽  
Mônica Rodrigues Campos ◽  
...  

Malaria is a serious public health problem in over 90 countries worldwide. In Brazil the disease is prevalent in the Amazon and the control rationale is based on early diagnosis and treatment. Quality pharmaceutical services are considered a key element for control. A proposal for evaluating pharmaceutical services for malaria is presented here. A theoretical outline composed of a logical model and an indicator framework is discussed and strives to establish a basis for assessment and judgment of the way in which these services are actually delivered. The aim is to contribute to the understanding of pharmaceutical services for malaria and other endemic diseases, complying with the directives of the Brazilian National Medicines Policy.


2019 ◽  
Author(s):  
Valborg Gudmundsdottir ◽  
Valur Emilsson ◽  
Thor Aspelund ◽  
Marjan Ilkov ◽  
Elias F Gudmundsson ◽  
...  

AbstractThe prevalence of type 2 diabetes mellitus (T2DM) is expected to increase rapidly in the next decades, posing a major challenge to societies worldwide. The emerging era of precision medicine calls for the discovery of biomarkers of clinical value for prediction of disease onset, where causal biomarkers can furthermore provide actionable targets. Blood-based factors like serum proteins are in contact with every organ in the body to mediate global homeostasis and may thus directly regulate complex processes such as aging and the development of common chronic diseases. We applied a data-driven proteomics approach measuring serum levels of 4,137 proteins in 5,438 Icelanders to discover novel biomarkers for incident T2DM and describe the serum protein profile of prevalent T2DM. We identified 536 proteins associated with incident or prevalent T2DM. Through LASSO penalized logistic regression analysis combined with bootstrap resampling, a panel of 20 protein biomarkers that accurately predicted incident T2DM was identified with a significant incremental improvement over traditional risk factors. Finally, a Mendelian randomization analysis provided support for a causal role of 48 proteins in the development of T2DM, which could be of particular interest as novel therapeutic targets.


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