scholarly journals Plasma Proteome Fingerprints Reveal Distinctiveness and Clinical Outcome of SARS-CoV-2 Infection

Viruses ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2456
Author(s):  
Wolfgang Bauer ◽  
Marcus Weber ◽  
Eva Diehl-Wiesenecker ◽  
Noa Galtung ◽  
Monika Prpic ◽  
...  

Background: We evaluated how plasma proteomic signatures in patients with suspected COVID-19 can unravel the pathophysiology, and determine kinetics and clinical outcome of the infection. Methods: Plasma samples from patients presenting to the emergency department (ED) with symptoms of COVID-19 were stratified into: (1) patients with suspected COVID-19 that was not confirmed (n = 44); (2) non-hospitalized patients with confirmed COVID-19 (n = 44); (3) hospitalized patients with confirmed COVID-19 (n = 53) with variable outcome; and (4) patients presenting to the ED with minor diseases unrelated to SARS-CoV-2 infection (n = 20). Besides standard of care diagnostics, 177 circulating proteins related to inflammation and cardiovascular disease were analyzed using proximity extension assay (PEA, Olink) technology. Results: Comparative proteome analysis revealed 14 distinct proteins as highly associated with SARS-CoV-2 infection and 12 proteins with subsequent hospitalization (p < 0.001). ADM, IL-6, MCP-3, TRAIL-R2, and PD-L1 were each predictive for death (AUROC curve 0.80–0.87). The consistent increase of these markers, from hospital admission to intensive care and fatality, supported the concept that these proteins are of major clinical relevance. Conclusions: We identified distinct plasma proteins linked to the presence and course of COVID-19. These plasma proteomic findings may translate to a protein fingerprint, helping to assist clinical management decisions.

2007 ◽  
Vol 20 (3) ◽  
pp. 637-642 ◽  
Author(s):  
L. Terzuoli ◽  
C. Felici ◽  
I. Ciari ◽  
R. Guerranti ◽  
R. Pagani ◽  
...  

Atherosclerosis is a complex disease that affects medium and large arteries, leading to the formation and progression of plaque. In this process the proteins play an essential role and as a consequence, proteomic-based strategies examining the protein content of cells or tissues could offer a useful approach for the study of plaque proteins. Due to the heterogeneous cell composition of plaque, proteome analysis of whole lesions is difficult, besides being also complicated by the presence of plasma proteins that cannot be completely eliminated. A good way to study variations in protein expression among series of gels is to construct a synthetic gel. This type of gel is obtained by averaging the positions, shapes and optical densities of spots in a given set of gels. To be included in the synthetic gel, spots must be found in at least three gels. To obtain a profile representative of the proteome of atherosclerotic plaque, canceling its high variability, we constructed a synthetic gel using an average of ten carotid plaque samples. We then compared it with an equivalent synthetic gel constructed using ten plasma samples from the same carotid surgery patients. For the comparison of two synthetic gels (plasma/plaque) we could discriminate plasma proteins from plaque proteins. Besides analysis of spots common to plasma, the synthetic gel is useful to detect spots exclusive to plaque, thus simplifying a very complex mixture.


2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A674-A674
Author(s):  
Noha Abdel-Wahab ◽  
Adi Diab ◽  
Hiroyuki Katayama ◽  
Sang Kim ◽  
Samir Hanash ◽  
...  

BackgroundImmune checkpoint inhibitors (ICIs) have resulted in unprecedented advances in the treatment of cancer. By disinhibiting the immune system, they enhance anti-tumor immunity, but provoke off-target inflammatory and immune-related adverse events (irAEs) which can seriously impact morbidity and mortality. The exact immunobiology of irAEs is not completely understood, but may involve specific immune pathways. To date, there is no validated biomarker test to predict the development of irAEs in patients treated with ICIs.MethodsTo identify possible biomarkers of irAEs, we performed in-depth proteomic profiling of blood samples obtained from cancer patients receiving ICIs. The plasmas were processed with Hu-14 immuno-depletion column (Agilent Technologies) and the samples were labeled with TMT (Thermo Scientific). The proteins were next pre-fractionated with HPLC, trypsin digested and analyzed by nanoAQUITY LC coupled Synapt G2-Si ion-mobility mass spectrometry (WATERS).ResultsA total of 12 patients were enrolled in the study; all were receiving anti-programmed cell death-1 (PD-1) agents. Cancer types included melanoma (n=9), renal cell carcinoma (n=2), and non-small cell lung cancer (n=1). Eight patients had irAEs with active toxicity symptoms at blood draw (4 with pneumonitis-irAE and 4 with arthritis-irAE); 6 of those patients were receiving corticosteroids (ranging from 5 to 60 mg/d), and 1 was receiving tocilizumab (an anti-IL-6 receptor antibody). Four patients who completed a minimum of one year of anti-PD1 treatments without irAEs were enrolled as control group. Median time from ICI initiation until blood draw was 16 months (range, 4–31) among patients with irAEs and 23 months (range, 17–28) among controls.We identified 925 protein gene products from 2.5 million mass spectra that can cover 107 dynamic range of plasma proteins. Among them, 19 proteins showed statistically significant differences between patients with and without irAEs (P<0.05) (figure 1). Nine proteins including CFB, CLEC3B, ITIH4, HPX, RARRES2, TF, OAF, MYL12A, and MYL12B were significantly upregulated in patients with irAEs; MYL12A and MYL12B are known to be elevated in airway inflammation of lung tissues. While, 10 other proteins including APOC4, AVPR2, B9D1, DPEP2, JCHAIN, LINC00238, PLG, RAB40C, TCF4, and ZFP30 were significantly downregulated in patients with irAEs (figure 2).Abstract 638 Figure 1Unsupervised clustering of plasma proteome after ICIs337 proteins were quantified from at least 8 out of total 12 patients and clustered after Loess normalization.Patient 1 (P1): Melanoma, Pembrolizumab treated, Arthritis (irAE), Patient 2 (P2): Melanoma, Pembrolizumab treated, Arthritis (irAE), Patient 3 (P3): Melanoma, Pembrolizumab treated, No irAE, Patient 4 (P4): Melanoma, Pembrolizumab, no irAE, Patient 5 (P5): Melanoma, Pembrolizumab treated, no irAE, Patient 6 (P6): Melanoma, Pembrolizumab treated, no irAE, Patient 7 (P7): Melanoma, Ipilimumab-Pembrolizumab treated, Pneumonitis (irAE), Patient 8 (P8): Melanoma, Pembrolizumab, Pneumonitis (irAE), Patient 9 (P9): Melanoma, Ipilimumab-Pembrolizumab treated, Pneumonitis (irAE), Patient 10 (P10): RCC, Nivolumab, Arthritis (irAE), Patient 11 (P11): Renal Cell Carcinoma (RCC), Nivolumab, Pneumonitis (irAE), P12: Non-Small Cell Lung Carcinoma (NSCLC), Nivolumab, Arthritis (irAE).Abstract 638 Figure 2Heatmap of circulating plasma proteins showed significanceNineteen proteins showed statistically significant differences between patients with and without irAEsConclusionsIn-depth plasma proteome analysis identified possible biomarkers of adverse events modulated by ICI treatment. We plan a prospective validation cohort study of melanoma patients initiating treatment with ICIs to further evaluate the potential clinical utility of the identified biomarkers and their association with immune toxicity, and tumor response to ICI therapy.Ethics ApprovalThe study was approved by The Institutional Review Board at The University of Texas MD Anderson Cancer Center, approval number PA16-0928ConsentWritten informed consent was obtained from all patients who agreed to participate in the study


2021 ◽  
Vol 09 (03) ◽  
pp. E378-E387
Author(s):  
Konstantinos Triantafyllou ◽  
Paraskevas Gkolfakis ◽  
Alexandros Skamnelos ◽  
Georgia Diamantopoulou ◽  
Athanasios Dagas ◽  
...  

Abstract Background and study aims Bowel preparation for colonoscopy is frequently inadequate in hospitalized patients. We explored the impact of specific verbal instructions on the quality of inpatients bowel preparation and factors associated with preparation failure. Patients and methods Randomized (1:1), two strata (mobilized vs. bedridden; 3:2) trial of consecutive inpatients from four tertiary centers, who received either specific, verbal instructions or the standard of care (SOC) ward instructions about bowel preparation. The rate of adequate bowel preparation (Boston Bowel Preparation Score [BBPS] ≥ 6, no segment < 2) comprised the primary endpoint. Mean BBPS score, good (BBPS score ≥ 7, no segment score < 2) and excellent (BBPS = 9) were among secondary endpoints. Results We randomized 300 inpatients (180 mobile) aged 71.7 ± 15.1 years in the intervention (49.7 %) and SOC (50.3 %) groups, respectively. Overall, more patients in the intervention group achieved adequate bowel preparation, but this difference did not reach statistical significance neither in the intention-to-treat [90/149 (60.4 %) vs. 82/151 (54.3 %); P = 0.29] nor in the per-protocol analysis [90/129 (69.8 %) vs. 82/132 (62.1 %); P = 0.19]. Overall BBPS score did not differ statistical significantly in the two groups, but the provision of specific verbal instructions was associated with significant higher rates of good (58.1 % vs. 43.2 %; P = 0.02) and excellent (31.8 % vs. 16.7 %; P = 0.004) bowel preparation compared to the SOC group. Administration of same-day bowel preparation and patient American Society of Anesthesiologists score > 2 were identified as risk factors for inadequate bowel preparation. Conclusions Provision of specific verbal instructions did not increase the rate of adequate bowel preparation in a population of mobilized and bedridden hospitalized patients.


PROTEOMICS ◽  
2010 ◽  
Vol 10 (24) ◽  
pp. 4386-4400 ◽  
Author(s):  
Jung-Won Choi ◽  
Xia Wang ◽  
Jeong In Joo ◽  
Dong Hyun Kim ◽  
Tae Seok Oh ◽  
...  

BioMetals ◽  
2012 ◽  
Vol 26 (1) ◽  
pp. 133-140 ◽  
Author(s):  
Arthur Grider ◽  
Kathie Wickwire ◽  
Emily Ho ◽  
Carolyn S. Chung ◽  
Janet King

2020 ◽  
Vol 21 (2) ◽  
pp. 664 ◽  
Author(s):  
Sabrina Boudon ◽  
Joelle Henry-Berger ◽  
Isabelle Cassar-Malek

Beef quality is a complex phenotype that can be evaluated only after animal slaughtering. Previous research has investigated the potential of genetic markers or muscle-derived proteins to assess beef tenderness. Thus, the use of low-invasive biomarkers in living animals is an issue for the beef sector. We hypothesized that publicly available data may help us discovering candidate plasma biomarkers. Thanks to a review of the literature, we built a corpus of articles on beef tenderness. Following data collection, aggregation, and computational reconstruction of the muscle secretome, the putative plasma proteins were searched by comparison with a bovine plasma proteome atlas and submitted to mining of biological information. Of the 44 publications included in the study, 469 unique gene names were extracted for aggregation. Seventy-one proteins putatively released in the plasma were revealed. Among them 13 proteins were predicted to be secreted in plasma, 44 proteins as hypothetically secreted in plasma, and 14 additional candidate proteins were detected thanks to network analysis. Among these 71 proteins, 24 were included in tenderness quantitative trait loci. The in-silico workflow enabled the discovery of candidate plasma biomarkers for beef tenderness from reconstruction of the secretome, to be examined in the cattle plasma proteome.


BioTechniques ◽  
2021 ◽  
Author(s):  
David Kotol ◽  
Andreas Hober ◽  
Linnéa Strandberg ◽  
Anne-Sophie Svensson ◽  
Mathias Uhlén ◽  
...  

Targeted proteomics is an attractive approach for the analysis of blood proteins. Here, we describe a novel analytical platform based on isotope-labeled recombinant protein standards stored in a chaotropic agent and subsequently dried down to allow storage at ambient temperature. This enables a straightforward protocol suitable for robotic workstations. Plasma samples to be analyzed are simply added to the dried pellet followed by enzymatic treatment and mass spectrometry analysis. Here, we show that this approach can be used to precisely (coefficient of variation <10%) determine the absolute concentrations in human plasma of hundred clinically relevant protein targets, spanning four orders of magnitude, using simultaneous analysis of 292 peptides. The use of this next-generation analytical platform for high-throughput clinical proteome profiling is discussed.


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