作者: Thanusi Thavarajah , Claudia C. dos Santos , Arthur S. Slutsky , John C. Marshall , Pete Bowden
DOI: 10.1186/S12014-020-09288-5
关键词:
摘要: A practical strategy to discover sepsis specific proteins may be compare the plasma peptides and from patients in intensive care unit with without sepsis. The aim was and/or that show greater observation frequency precursor intensity endogenous tryptic of ICU-Sepsis were compared ICU Control, ovarian cancer, breast female normal, sepsis, heart attack, Alzheimer’s multiple sclerosis along their institution-matched controls, normals normal samples collected directly onto ice. Endogenous extracted individual control EDTA a step gradient acetonitrile for random independent sampling by LC–ESI–MS/MS set robust sensitive linear quadrupole ion traps. MS/MS spectra fit fully within using X!TANDEM algorithm. protein counted using the SEQUEST algorithm after selecting single best charge state peptide sequence each spectra. ICU-sepsis versus Control subsequently tested Chi square analysis. average or log10 across disease treatments ANOVA R statistical system. Peptides phosphopeptides common such as ITIH3, SAA2, SAA1, FN1 showed increased (χ2 > 9, p < 0.003) Cellular gene symbols large values included POTEB, CTNNA1, U2SURP, KIF24, NLGN2, KSR1, GTF2H1, KIT, RPS6KL1, VAV2, HSPA7, SMC2, TCEB3B, ZNF300, SUPV3L1, ADAMTS20, LAMB4, MCCC1, SUPT6H, SCN9A, SBNO1, EPHA1, ABLIM2, cB5E3.2, EPHA10, GRIN2B, HIVEP2, CCL16, TKT, LRP2 TMF1 amongst others frequency. Similarly, observed POM121C, SCN8A, TMED8, NSUN7, SLX4, MADD, DNLZ, PDE3B, UTY, DEPDC7, MTX1, MYO1E, RXRB, SYDE1, FN1, PUS7L, FYCO1, USP26, ACAP2, AHI1, KSR2, LMAN1, ZNF280D SLC8A2 others. Increases mean well cellular COL24A1, KANK1, SDCBP2, DNAH11, ADAMTS7, MLLT1, TTC21A, TSHR, MTCH1, PUS7L among associated processing SAA1 cleavage terminal D/PNHFRPAGLPEKY most hydrophilic point on COOH side cystatin C binding apparent all other diseases controls. Additional NH2 terminus site ICU-Sepsis. Thus there variation controls Specific vary between might discovered different hospital clinics storage relational SQL Server database analysis system will powerful tool clinical research. play an unappreciated role inflammatory response Sepsis.