Background Diabetes is an important risk factor for developing tuberculosis. This association leads to exacerbation of tuberculosis symptoms and delayed treatment of both the diseases. Molecular mechanism and biomarkers/drug targets related to copathogenesis of tuberculosis and diabetes are still poorly understood. In this study, proteomics based 2D-MALDI/MS approach was employed to identify host signature proteins which are altered during copathogenesis of tuberculosis and diabetes. Methods Comparative proteome of human peripheral blood mononuclear cells (PBMCs) from healthy controls, tuberculosis and diabetes patients in comparison to comorbid diabetes and tuberculosis patients was analyzed. Gel based proteomics approach followed by in gel trypsin digestion and peptide identification by mass spectrometry was used for signature protein identification. Results Total of 18 protein spots with differential expression in tuberculosis and diabetes copathogenesis (TBDM) patients in comparison to other groups were identified. These proteins belonged to four functional categories i.e. structural, cell cycle/growth regulation, signaling and intermediary metabolism. These include Vimentin, tubulin beta chain protein, Actin related protein 2/3 complex subunit 2, coffilin 1 (Structural), PDZ LIM domain protein, Rho-GDP dissociation inhibitor, Ras related protein Rab (signaling), superoxide dismutase, dCTPpyrophosphatase 1, Transcription initiation factor TFIID subunit 12, three isoforms of Peptidylprolylcis-trans isomerase A, SH3 domain containing protein (metabolism), three isoforms of Protein S100A9 and S100A8 (cell cycle progression/growth regulation). Conclusion Proteins identified to be differentially expressed in TBDM patient can act as potent biomarkers and as predictors for copathogenesis of tuberculosis and diabetes.
Background and aim Multidrug resistant Klebsiella pneumoniae is associated with nosocomial infections in both outbreak and non-outbreak situations. The study intends to evaluate the potential of enterobacterial repetitive intergenic consensus- polymerase chain reaction (ERIC-PCR), a genomic based typing and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) proteomic-based typing techniques for clonal relatedness among multidrug resistant Klebsiella pneumoniae isolates. Methodology Multidrug resistant clinical isolates of Klebsiella pneumoniae (n = 137) were collected from March 2019 to February 2020. Identification and protein-based phylogenetic analysis were performed by MALDI-TOF MS. Genomic typing was done by ERIC-PCR and analyzed by an online data analysis service (PyElph). Dice method with unweighted pair group method with arithmetic mean (UPGMA) program was used to compare the ERIC profiles. The samples were also evaluated by PCR for the presence of genes encoding carbapenemases, extended spectrum beta lactamases (ESBLs) and mobile colistin resistance-1 (mcr1). Result and conclusion The study presents ERIC-PCR as more robust and better discriminatory typing tool in comparison to MALDI-TOF for clonal relatedness in multidrug resistant K. pneumoniae clinical isolates. Isolates were typed into 40 ERIC types, and six groups by MALDI-TOF-MS. PCR-based analysis revealed that all the strains harbored two or more ESBL and carbapenemase genes. None of the isolates revealed the presence of the plasmid mediated mcr-1 gene for colistin resistance.
18Background: Diabetes is an important risk factor for developing tuberculosis. This association 19 leads to exacerbation of tuberculosis symptoms and delayed treatment of both the diseases. 20 Molecular mechanism and biomarkers/drug targets related to copathogenesis of tuberculosis and 2 21 diabetes, however, still remains to be poorly understood. In this study, proteomics based 2D-22 MALDI/MS approach was employed to identify host signature proteins which are altered during 23 copathogenesis of tuberculosis and diabetes. 24 Methods: Comparative proteome of human peripheral blood mononuclear cells (PBMCs) from 25 healthy controls, tuberculosis and diabetes patients in comparison to comorbid diabetes and 26 tuberculosis patients was analyzed. Gel based proteomics approach followed by in gel trypsin 27 digestion and peptide identification by mass spectrometry was used for signature protein 28 identification. 29 Results: Total of 18 protein spots with differential expression in TBDM patients in comparison 30 to other groups were identified. These include Vimentin, tubulin beta chain protein, superoxide 31 dismutase, Actin related protein 2/3 complex subunit 2, PDZ LIM domain protein, Rho-GDP 32 dissociation inhibitor, Ras related protein Rab, dCTPpyrophosphatase 1, Transcription initiation 33 factor TFIID subunit 12, coffilin 1, three isoforms of Peptidylprolylcis-trans isomerase A, three 34 isoforms of Protein S100A9, Protein S100A8 and SH3 domain containing protein. These 35 proteins belonged to four functional categories i.e. structural, cell cycle/growth regulation, 36 signaling and intermediary metabolism.40 42 10million fresh TB cases has been reported worldwide (1). Despite extensive research on the 3 43 biology of M. tuberculosis, exact mechanism of infection and immune evasion still remains 44 elusive. Copathogenesis with HIV and diabetes further complicates the tuberculosis control 45 measures. Although HIV infection is the topmost risk factor for development of active 46 tuberculosis but population attributable risk of diabetes is more than that of HIV infection (2, 3) 47 as diabetes is known to triple the risk of developing active tuberculosis (4). As diabetes is 48 associated with various immunological dysfunctions, diabetic patients fall prey to other co-49 infections like tuberculosis, melioidosis and other conventional hyperglycemia related 50 complications like various cardiovascular disorders, retinopathy, nephropathy and many more. 51 Diabetes mellitus affected 425 million individuals worldwide in 2017 and is predicted to reach 52 629 million by 2045, the time at which 80% of diabetics will be residents of economically 53 challenged countries where active tuberculosis (TB) prevails (5, 6). Countries with highest 54 burden of diabetes are also in the list of WHO's tuberculosis high burden countries and India and 55China for example, have first two positions for the copathogenesis of TB and diabetes (7, 8). The 56 epidemiological data for association between TB and DM is increasing significantly...
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