Adolescents and young adults (AYAs) are one of the major populations susceptible to tuberculosis. However, little is known about the unique characteristics and diagnostic biomarkers of tuberculosis in this population. In this study, 81 AYAs were recruited, and the high-quality serum proteome of the AYAs with tuberculosis was profiled by quantitative proteomics. The data of serum proteomics indicated that the relative abundance of hemoglobin and apolipoprotein was significantly reduced in the patients with active tuberculosis (ATB). The pathway enrichment analysis showed that the downregulated proteins in the ATB group were mainly involved in the antioxidant and cell detoxification pathways, indicating extensive oxidative stress damage. Random forest (RF) and extreme gradient boosting (XGBoost) were employed to evaluate protein importance, which yielded a set of candidate proteins that can distinguish between ATB and non-ATB. The analysis with the support vector machine algorithm (recursive feature elimination) suggested that the combination of apolipoprotein A-I (APOA1), hemoglobin subunit beta (HBB), and hemoglobin subunit alpha-1 (HBA1) had the highest accuracy and sensitivity in diagnosing ATB. Meanwhile, the levels of hemoglobin (HGB) and albumin (ALB) can be used as blood biochemical indicators to evaluate changes in the protein levels of APOA1 and HBB. This study established the serum proteome landscape of AYAs with tuberculosis and identified new biomarkers for the diagnosis of tuberculosis in this population.
Humans ; Proteomics/methods* ; Biomarkers/blood* ; Adolescent ; Young Adult ; Apolipoprotein A-I/blood* ; Machine Learning ; Tuberculosis/blood* ; Proteome/analysis* ; Male ; Hemoglobins/analysis* ; Female ; Blood Proteins/analysis* ; Adult

Data-independent acquisition (DIA) is a high-throughput, unbiased mass spectrometry data acquisition method which has good quantitative reproducibility and is friendly to low-abundance proteins. It becomes the preferred choice for clinical proteomic studies especially for large cohort studies in recent years. The mass-spectrometry (MS)/MS spectra generated by DIA is usually heavily mixed with fragment ion information of multiple peptides, which makes the protein identification and quantification more difficult. Currently, DIA data analysis methods fall into two main categories, namely peptide-centric and spectrum-centric. The peptide-centric strategy is more sensitive for identification and more accurate for quantification. Thus, it has become the mainstream strategy for DIA data analysis, which includes four key steps: building a spectral library, extracting ion chromatogram, feature scoring and statistical quality control. This work reviews the peptide-centric DIA data analysis procedure, introduces the corresponding algorithms and software tools, and summarizes the improvements for the existing algorithms. Finally, the future development directions are discussed.
Humans ; Proteomics/methods* ; Reproducibility of Results ; Peptides/chemistry* ; Software ; Algorithms ; Tandem Mass Spectrometry/methods* ; Proteome/analysis*

The purpose of this study was to explore the effect of acute hypoxia on urine proteome in rats. In this study, rats were placed in a hypoxic chamber simulating a plateau environment at an altitude of 5 000 m for 24 hours. Urine samples were collected at 0, 12, and 24 h after hypoxia. Urinary proteins were profiled using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). Compared with the control (before hypoxia), a total of 144 differentially expressed proteins were identified in the hypoxia 12 h group, and 129 differentially expressed proteins were identified in the hypoxia 24 h group. Functional annotation analysis revealed that these differentially expressed proteins were involved in a series of biological pathways related to hypoxic stress, such as anti-oxidative stress, glycolysis, complement and coagulation cascade. Our results suggest that the urinary proteome can reflect significant changes upon acute hypoxic stimulation. These findings may provide an approach to judge the hypoxia state of the body and help to assist the detection of hypoxia state.
Animals ; Rats ; Proteome/analysis* ; Chromatography, Liquid/methods* ; Tandem Mass Spectrometry/methods* ; Proteomics/methods* ; Hypoxia

In order to investigate the antioxidant effect of alkylhydroxide peroxidase (ahpC) of Helicobacter pylori (H. pylori) 26695, an ahpC-deficient mutant (H. pylori 26695 ahpC::cat) was generated. ahpC-deficient mutant was grown slowly at lower pressure of oxygen (5% oxygen) compared to the H. pylori 26695. Whole cell proteins isolated form H. pylori 26695 and H. pylori 26695 ahpC::cat were analyzed by MALDI-TOF and tandem-MS. The expression of 15 proteins, including Ppa, HypB, GrpE, Elp, RecA, GroES, Mda66, RibE, NapA, GlnA, BioB, TrxB, Tsf, FumC and Icd, was more than doubled in H. pylori 26695 ahpC::cat. Production of 10 proteins such as UreG, FabE, Adk, Pnp, OorC, AtpA, AtpD, Nqq3, Pfr, and TagD decreased below 50% in H. pylori 26695 ahpC::cat compared to the H. pylori 26695. In microarray analysis, 9 genes including sul1, amiE, frxA, fecA, hyuA, and katA increased in transcription level in H. pylori 26695 ahpC::cat compared to H. pylori 26695. A total of 24 genes, including flaB, protein kinase C inhibitor, cag16, pabC, and sabA, reduced in transcription. 27 genes, including HP0889, showed common expression changes in ahpC, katA, and sodB-deficient mutations. As a result of this study, there were not many genes whose expression was commonly changed by the deletion of each of the three major antioxidant enzymes of H. pylori. These results showed the functions and regulation of the three antioxidant enzymes were different in H. pylori.
Antioxidants ; Helicobacter pylori ; Helicobacter ; Microarray Analysis ; Oxygen ; Peroxidase ; Protein Kinase C ; Proteome ; Ribes

PURPOSE: Chronic rhinosinusitis (CRS) is a complex immunological condition, and novel experimental modalities are required to explore various clinical and pathophysiological endotypes; mere evaluation of nasal polyp (NP) status is inadequate. Therefore, we collected patient nasal secretions on filter paper and characterized the proteomes. METHODS: We performed liquid chromatography-mass spectrometry (MS)/MS in the data-dependent acquisition (DDA) and data-independent acquisition (DIA) modes. Nasal secretions were collected from 10 controls, 10 CRS without NPs (CRSsNP) and 10 CRS with NPs (CRSwNP). We performed Orbitrap MS-based proteomic analysis in the DDA (5 controls, 5 CRSsNP and 5 CRSwNP) and the DIA (5 controls, 5 CRSsNP and 5 CRSwNP) modes, followed by a statistical analysis and a hierarchical clustering to identify differentially expressed proteins in the 3 groups. RESULTS: We identified 2,020 proteins in nasal secretions. Canonical pathway analysis and gene ontology (GO) evaluation revealed that interleukin (IL)-7, IL-9, IL-17A and IL-22 signaling and neutrophil-mediated immune responses like neutrophil degranulation and activation were significantly increased in CRSwNP compared to control. The GO terms related to the iron ion metabolism that may be associated with CRS and NP development. CONCLUSIONS: Collection of nasal secretions on the filter paper is a practical and non-invasive method for in-depth study of nasal proteomics. Our proteomic signatures also support that Asian NPs could be characterized as non-eosinophilic inflammation features. Therefore, the proteomic profiling of nasal secretions from CRS patients may enhance our understanding of CRS endotypes.
Asian Continental Ancestry Group ; Gene Ontology ; Humans ; Inflammation ; Interleukin-17 ; Interleukin-9 ; Interleukins ; Iron ; Metabolism ; Methods ; Nasal Polyps ; Neutrophils ; Proteome ; Proteomics ; Sinusitis ; Spectrum Analysis

Heterotopic ossification (HO) refers to the abnormal formation of bone in soft tissue. Although some of the underlying processes of HO have been described, there are currently no clinical tests using validated biomarkers for predicting HO formation. As such, the diagnosis is made radiographically after HO has formed. To identify potential and novel biomarkers for HO, we used isobaric tags for relative and absolute quantitation (iTRAQ) and high-throughput antibody arrays to produce a semi-quantitative proteomics survey of serum and tissue from subjects with (HO) and without (HO) heterotopic ossification. The resulting data were then analyzed using a systems biology approach. We found that serum samples from subjects experiencing traumatic injuries with resulting HO have a different proteomic expression profile compared to those from the matched controls. Subsequent quantitative ELISA identified five blood serum proteins that were differentially regulated between the HO and HO groups. Compared to HO samples, the amount of insulin-like growth factor I (IGF1) was up-regulated in HO samples, whereas a lower amount of osteopontin (OPN), myeloperoxidase (MPO), runt-related transcription factor 2 (RUNX2), and growth differentiation factor 2 or bone morphogenetic protein 9 (BMP-9) was found in HO samples (Welch two sample t-test; P < 0.05). These proteins, in combination with potential serum biomarkers previously reported, are key candidates for a serum diagnostic panel that may enable early detection of HO prior to radiographic and clinical manifestations.
Adult ; Aged ; Aged, 80 and over ; Biomarkers ; metabolism ; Case-Control Studies ; Female ; Humans ; Male ; Middle Aged ; Ossification, Heterotopic ; blood ; diagnosis ; metabolism ; Proteome ; analysis ; Proteomics ; methods ; Systems Biology ; methods ; Young Adult

OBJECTIVETo identify potential serum biomarkers for distinguishing between latent tuberculosis infection (LTBI) and active tuberculosis (TB).

METHODSA proteome microarray containing 4,262 antigens was used for screening serum biomarkers of 40 serum samples from patients with LTBI and active TB at the systems level. The interaction network and functional classification of differentially expressed antigens were analyzed using STRING 10.0 and the TB database, respectively. Enzyme-linked immunosorbent assays (ELISA) were used to validate candidate antigens further using 279 samples. The diagnostic performances of candidate antigens were evaluated by receiver operating characteristic curve (ROC) analysis. Both antigen combination and logistic regression analysis were used to improve diagnostic ability.

RESULTSMicroarray results showed that levels of 152 Mycobacterium tuberculosis (Mtb)-antigen- specific IgG were significantly higher in active TB patients than in LTBI patients (P < 0.05), and these differentially expressed antigens showed stronger associations with each other and were involved in various biological processes. Eleven candidate antigens were further validated using ELISA and showed consistent results in microarray analysis. ROC analysis showed that antigens Rv2031c, Rv1408, and Rv2421c had higher areas under the curve (AUCs) of 0.8520, 0.8152, and 0.7970, respectively. In addition, both antigen combination and logistic regression analysis improved the diagnostic ability.

CONCLUSIONSeveral antigens have the potential to serve as serum biomarkers for discrimination between LTBI and active TB.

Adolescent ; Adult ; Aged ; Antibodies, Bacterial ; Antibody Specificity ; Antigens, Bacterial ; Biomarkers ; blood ; Female ; Humans ; Latent Tuberculosis ; blood ; diagnosis ; Logistic Models ; Male ; Middle Aged ; Mycobacterium tuberculosis ; Protein Array Analysis ; methods ; Proteome ; genetics ; Proteomics ; methods ; ROC Curve ; Young Adult

Respiratory syncytial virus (RSV) is a leading cause of acute lower respiratory tract infections. Qingfei oral liquid (QFOL), a traditional Chinese medicine, is widely used in clinical treatment for RSV-induced pneumonia. The present study was designed to reveal the potential targets and mechanism of action for QFOL by exploring its influence on the host cellular network following RSV infection. We investigated the serum proteomic changes and potential biomarkers in an RSV-infected mouse pneumonia model treated with QFOL. Eighteen BALB/c mice were randomly divided into three groups: RSV pneumonia model group (M), QFOL-treated group (Q) and the control group (C). Serum proteomes were analyzed and compared using a label-free quantitative LC-MS/MS approach. A total of 172 protein groups, 1009 proteins, and 1073 unique peptides were successfully identified. 51 differentially expressed proteins (DEPs) were identified (15 DEPs when M/C and 43 DEPs when Q/M; 7 DEPs in common). Classification and interaction network showed that these proteins participated in various biological processes including immune response, blood coagulation, complement activation, and so forth. Particularly, fibrinopeptide B (FpB) and heparin cofactor II (HCII) were evaluated as important nodes in the interaction network, which was closely involved in coagulation and inflammation. Further, the FpB level was increased in Group M but decreased in Group Q, while the HCII level exhibited the opposite trend. These findings not only indicated FpB and HCII as potential biomarkers and targets of QFOL in the treatment of RSV pneumonia, but also suggested a regulatory role of QFOL in the RSV-induced disturbance of coagulation and inflammation-coagulation interactions.
Animals ; Biomarkers ; blood ; Chromatography, Liquid ; Disease Models, Animal ; Drugs, Chinese Herbal ; pharmacology ; therapeutic use ; Fibrinopeptide B ; analysis ; genetics ; Gene Expression Regulation ; drug effects ; Heparin Cofactor II ; analysis ; genetics ; Lung ; pathology ; Mice, Inbred BALB C ; Proteome ; drug effects ; Proteomics ; Respiratory Syncytial Virus Infections ; blood ; drug therapy ; Respiratory Syncytial Viruses ; drug effects ; Tandem Mass Spectrometry

Direct tissue imaging mass spectrometry (IMS) by matrix-assisted laser desorption ionization and time-of-flight (MALDI-TOF) mass spectrometry has become increasingly important in biology and medicine, because this technology can detect the relative abundance and spatial distribution of interesting proteins in tissues. Five thyroid cancer samples, along with normal tissue, were sliced and transferred onto conductive glass slides. After laser scanning by MALDI-TOF equipped with a smart beam laser, images were created for individual masses and proteins were classified at 200-microm spatial resolution. Based on the spatial distribution, region-specific proteins on a tumor lesion could be identified by protein extraction from tumor tissue and analysis using liquid chromatography with tandem mass spectrometry (LC-MS/MS). Using all the spectral data at each spot, various intensities of a specific peak were detected in the tumor and normal regions of the thyroid. Differences in the molecular weights of expressed proteins between tumor and normal regions were analyzed using unsupervised and supervised clustering. To verify the presence of discovered proteins through IMS, we identified ribosomal protein P2, which is specific for cancer. We have demonstrated the feasibility of IMS as a useful tool for the analysis of tissue sections, and identified the tumor-specific protein ribosomal protein P2.
Aged ; Amino Acid Sequence ; Biological Markers/*analysis ; Carcinoma/*diagnosis/metabolism/pathology ; Chromatography, High Pressure Liquid ; Cluster Analysis ; Female ; Humans ; Image Processing, Computer-Assisted ; Male ; Middle Aged ; Molecular Sequence Data ; Molecular Weight ; Phosphoproteins/analysis/metabolism ; Proteome/analysis ; Proteomics ; Reproducibility of Results ; Ribosomal Proteins/analysis/metabolism ; *Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization ; *Tandem Mass Spectrometry ; Thyroid Gland/metabolism/pathology ; Thyroid Neoplasms/*diagnosis/metabolism/pathology

Helicobacter pylori, a gram-negative bacterium, is a causative agent of gastroduodenal diseases of human. Human immune system produces harmful reactive oxygen species to kill this bacterium that locates the microaerophilic mucous layer. H. pylori harbors various antioxidant enzymes including SodB, KatA and AhpC to protect the oxygen toxicity. We removed the catalase gene (katA) from H. pylori 26695 genome, and the change of profile of the gene expression of the mutant was analyzed by high resolution 2-DE followed by matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS), tandem MS and microarray analysis. Eleven and 37 genes were upregulated and downregulated in the mutant respectively, either transcriptionally or translationally. Expression level of pfr and hp1588 that were decreased on protein level in the mutant was confirmed by RT-PCR analysis.
Catalase ; Gene Expression ; Genome ; Helicobacter pylori* ; Humans ; Immune System ; Mass Spectrometry ; Microarray Analysis ; Oxygen ; Proteome* ; Reactive Oxygen Species