| Literature DB >> 33234129 |
Xavier Gallart-Palau1,2,3,4,5,6, Aida Serra7,8, Siu Kwan Sze9.
Abstract
BACKGROUND: Inflammation affecting whole organism vascular networks plays a central role in the progression and establishment of several human diseases, including Gram-negative sepsis. Although the molecular mechanisms that control inflammation of specific vascular beds have been partially defined, knowledge lacks on the impact of these on the molecular dynamics of whole organism vascular beds. In this study, we have generated an in vivo model by coupling administration of lipopolysaccharide with stable isotope labeling in mammals to mimic vascular beds inflammation in Gram-negative sepsis and to evaluate its effects on the proteome molecular dynamics. Proteome molecular dynamics of individual vascular layers (glycocalyx (GC), endothelial cells (EC), and smooth muscle cells (SMC)) were then evaluated by coupling differential systemic decellularization in vivo with unbiased systems biology proteomics.Entities:
Keywords: DISDIVO; Endothelial dysfunction; Infection; Inflammation; Lipopolysaccharide; Vascular beds
Mesh:
Substances:
Year: 2020 PMID: 33234129 PMCID: PMC7687804 DOI: 10.1186/s12915-020-00914-0
Source DB: PubMed Journal: BMC Biol ISSN: 1741-7007 Impact factor: 7.431
Fig. 1Validation of the SILAM model for the study of protein dynamics in severe inflammatory response. a Comparison of the number of SILAM-labeled proteins detected in glycocalyx (GC), endothelial cells (EC) and smooth muscle cells (SMC) proteomes after endotoxemia (LPS) versus Control. b Number of tryptic digested SILAM-labeled peptides detected in the three analyzed vascular beds (GC, EC, and SMC). c–h Frequency distribution curves for the incorporation of Lys(6) in individual proteins calculated for every vascular bed (GC, EC, and SMC) after LPS versus Control. i Adjusted curve comparison for the SILAM-labeled proteins in different vascular beds from Control and LPS-treated mice
Fig. 2Proteome-wide modulation analysis in severe inflammatory response. a Representation of the LPS/Control ratio for newly synthesized peptides (red columns) and non-newly synthesized peptides (black columns) in the endothelial cells (EC). b Proteins with newly synthesized peptides only detected after LPS challenge in EC. c Representation of the LPS/Control ratio for newly synthesized peptides (red columns) and non-newly synthesized peptides (black columns) in the smooth muscle cells (SMC). d Proteins with newly synthesized peptides only detected after LPS challenge in SMC. Ratios were calculated based on the sum of spectral counts of all SILAM-labeled peptides for newly synthesized proteins and the sum of spectral counts of all non-SILAM-labeled peptides for non-newly synthesized proteins for every protein detected. N.D. refers to not detected. Only proteins with statistical significance assessed by Student’s t test are represented (p < 0.05). Regulation threshold has been set at 1.5 and it is represented with horizontal green dashed lines in every condition. Y-axis for black columns with positive values has been drawn pointing down for visual purposes. e Heatmap of protein turnover detected in EC. Turnover of proteins is expressed as the number of non-tryptic peptides detected in individual proteins expressed in spectral counts. Darker colors refer to lower turnover levels
Fig. 3Functional analysis of molecular dynamics in severe inflammatory response for proteins identified from glycocalyx (GC). a Functional categorization of newly synthesized proteins from GC after a severe inflammatory response. b Relative quantitation of proteins included in the functional categorization. Quantitation of proteins is expressed as spectral counts considering all identified newly synthesized peptides (SILAM-labeled peptides) for every protein. Only proteins with statistical significance assessed by Student’s t test are represented (p < 0.05)
Fig. 4Functional analysis of molecular dynamics in severe inflammatory response for proteins identified from endothelial cells (EC) and smooth muscle cells (SMC). a Functional categorization of newly synthesized proteins identified by DISDIVO after a severe inflammatory response. The relative quantitation of proteins included in the functional categorization for EC and SMC are displayed in sections b and c, respectively. Quantitation of proteins is expressed as spectral counts considering all identified newly synthesized peptides (SILAM-labeled peptides) for every protein. Only proteins with statistical significance assessed by Student’s t test are represented (p < 0.05)
Fig. 5Number of total phosphorylation sites detected in Gram-negative induced sepsis in EC. The asterisk refers to significant differences observed between groups, assessed by Student’s t test (p < 0.05)
Phosphorylated proteins identified exclusively in Gram-negative sepsis in EC proteome. *Information about domains and structure for every protein was obtained from Uniprot. Numbers in brackets indicate the localization of the protein regions referred based on the amino acids’ position in the protein sequence
| Gene symbol | Protein name | Modified residue | Post-translationally modified region* |
|---|---|---|---|
| Sptb | Spectrin beta chain erythrocytic | S1061, S1078, S2323 | – |
| Cp | Ceruloplasmin | T83 | Chain (20–1061), F5/8 type A 1 Domain (20–356), Plastocyanin-like 1 (20–199) |
| Hp | Haptoglobin | S210, S239 | Polypeptide chain (19–347), Peptidase S1 domain (103–345) |
| Ckm | Creatine kinase M-type | T208, S224 | Phosphagen kinase C-terminal domain (125–367) |
| Nsfl1c | Isoform 3 of NSFL1 cofactor p47 | T108, S116 | Before and after the nuclear localization signal motif (109–115) |
| Serpina1d | Alpha-1-antitrypsin 1–4 | S300 | Alpha-1-antitrypsin 1–4 Chain (25–413) |
| Vcam1 | Vascular cell adhesion protein 1 | Y113, S114 | Extracellular domain (25–698)—next to I-set domain (C-terminal) |
Fig. 6Illustrative diagram showing the identified inflammatory molecular mechanisms of VCAM1 in EC during Gram-negative induced sepsis. VCAM1 in EC contains disease-specific phosphorylations at Tyr113 and Ser114 in pro-inflammatory processes of Gram-negative-induced sepsis. Additionally, the protein is actively degraded at Phe25, which might indicate resilience of EC during systemic pro-inflammatory processes affecting the vasculature