P4769Using the plasma proteome to decipher metabolic syndrome pathophysiology and discover a diagnostic biomarker panel

2018 ◽  
Vol 39 (suppl_1) ◽  
Author(s):  
M A Elhadad ◽  
R Wilson ◽  
S Zaghlool ◽  
C Huth ◽  
J Kriebel ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Plasma Proteome ◽  
Diagnostic Biomarker ◽  
Biomarker Panel

scholarly journals Plasma Proteome Profiles Associated with Diet-Induced Metabolic Syndrome and the Early Onset of Metabolic Syndrome in a Pig Model

PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e73087 ◽  
Author(s):  
Marinus F. W. te Pas ◽  
Sietse-Jan Koopmans ◽  
Leo Kruijt ◽  
Mario P. L. Calus ◽  
Mari A. Smits
Keyword(s):  
Metabolic Syndrome ◽  
Early Onset ◽  
Pig Model ◽  
Plasma Proteome

A Novel Diagnostic Biomarker Panel for Obesity-related Nonalcoholic Steatohepatitis (NASH)

2008 ◽  
Vol 18 (11) ◽  
pp. 1430-1437 ◽  
Author(s):  
Zobair M. Younossi ◽  
Mohammed Jarrar ◽  
Clare Nugent ◽  
Manpreet Randhawa ◽  
Mariam Afendy ◽  
...  
Keyword(s):  
Nonalcoholic Steatohepatitis ◽  
Diagnostic Biomarker ◽  
Biomarker Panel

scholarly journals Time-dependent changes to sepsis-specific networks in the plasma proteome are mechanistic readouts of sepsis progression

2020 ◽  
Author(s):  
G. Pimienta
Keyword(s):  
Public Health ◽  
Therapeutic Agent ◽  
Time Dependent ◽  
Plasma Proteome ◽  
Diagnostic Biomarker ◽  
Common Cause ◽  
Public Health Burden ◽  
Health Burden ◽  
Serovar Typhimurium ◽  
Cause Of Deaths

ABSTRACTSepsis accounts for 1 in 5 deaths globally and is the most common cause of deaths in U.S. hospitals. Despite this public health burden, no diagnostic biomarker, nor therapeutic agent for sepsis has proven useful or effective. The principal obstacle is the lack of a mechanistic understanding of this syndrome, particularly during its onset and progression. Using an experimental model of murine sepsis, we report here a time-dependent assessment of changes to the plasma proteome upon infection with Salmonella enterica serovar Typhimurium. Changes to the plasma proteome signature of sepsis (PPSS) revealed a transition from early inflammation and coagulation to a later stage of chronic inflammation, coagulopathy and bacteremia. This study represents an advance in our understanding of sepsis progression that may guide innovative therapeutic attitudes and help clinicians track sepsis progression.

PT317 The Altered Activity of Serum MMP 9 may act as Diagnostic Biomarker for Cardiovascular Events in Metabolic Syndrome

Global Heart ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e179-e180
Author(s):  
S. Khattri ◽  
S.S. Yadav ◽  
M. Bajpai ◽  
S. Shukla ◽  
K.K. Pant
Keyword(s):  
Metabolic Syndrome ◽  
Cardiovascular Events ◽  
Diagnostic Biomarker

scholarly journals Metabolic syndrome and the plasma proteome: from association to causation

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mohamed A. Elhadad ◽  
Rory Wilson ◽  
Shaza B. Zaghlool ◽  
Cornelia Huth ◽  
Christian Gieger ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Predictive Model ◽  
Mendelian Randomization ◽  
Causal Effect ◽  
Smoking Status ◽  
Area Under The Curve ◽  
Plasma Proteome ◽  
Public Health Burden ◽  
The Metabolic Syndrome ◽  
Associated Proteins

Abstract Background The metabolic syndrome (MetS), defined by the simultaneous clustering of cardio-metabolic risk factors, is a significant worldwide public health burden with an estimated 25% prevalence worldwide. The pathogenesis of MetS is not entirely clear and the use of molecular level data could help uncover common pathogenic pathways behind the observed clustering. Methods Using a highly multiplexed aptamer-based affinity proteomics platform, we examined associations between plasma proteins and prevalent and incident MetS in the KORA cohort (n = 998) and replicated our results for prevalent MetS in the HUNT3 study (n = 923). We applied logistic regression models adjusted for age, sex, smoking status, and physical activity. We used the bootstrap ranking algorithm of least absolute shrinkage and selection operator (LASSO) to select a predictive model from the incident MetS associated proteins and used area under the curve (AUC) to assess its performance. Finally, we investigated the causal effect of the replicated proteins on MetS using two-sample Mendelian randomization. Results Prevalent MetS was associated with 116 proteins, of which 53 replicated in HUNT. These included previously reported proteins like leptin, and new proteins like NTR domain-containing protein 2 and endoplasmic reticulum protein 29. Incident MetS was associated with 14 proteins in KORA, of which 13 overlap the prevalent MetS associated proteins with soluble advanced glycosylation end product-specific receptor (sRAGE) being unique to incident MetS. The LASSO selected an eight-protein predictive model with an (AUC = 0.75; 95% CI = 0.71–0.79) in KORA. Mendelian randomization suggested causal effects of three proteins on MetS, namely apolipoprotein E2 (APOE2) (Wald-Ratio = − 0.12, Wald-p = 3.63e−13), apolipoprotein B (APOB) (Wald-Ratio = − 0.09, Wald-p = 2.54e−04) and proto-oncogene tyrosine-protein kinase receptor (RET) (Wald-Ratio = 0.10, Wald-p = 5.40e−04). Conclusions Our findings offer new insights into the plasma proteome underlying MetS and identify new protein associations. We reveal possible casual effects of APOE2, APOB and RET on MetS. Our results highlight protein candidates that could potentially serve as targets for prevention and therapy.

scholarly journals Tristetraprolin, Inflammation, and Metabolic Syndrome in Arab Adults: A Case Control Study

Biology ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 550
Author(s):  
Nasser M. Al-Daghri ◽  
Albatul Y.A. Al-Shuwaie ◽  
Amani Alghamdi ◽  
Osama E. Amer ◽  
Malak N.K. Khattak ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Fasting Blood Glucose ◽  
Cross Sectional Study ◽  
Inflammatory Factors ◽  
Low Grade ◽  
Inflammatory Disorder ◽  
Diagnostic Biomarker ◽  
Operating Characteristics ◽  
Necrosis Factor Alpha ◽  
Cross Sectional

Tristetraprolin (TTP) is an mRNA binding protein suggested to have a substantial role in regulating the mRNA expression of numerous inflammatory factors, but data on TTP and its association with metabolic syndrome (MetS), a chronic low-grade inflammatory disorder, are scarce. We hypothesize that TTP may modulate MetS and its components. A total of 200 Saudi adults (aged 38.6 ± 8.3 years) were included in this cross-sectional study. Anthropometrics data were collected and fasting blood glucose taken for the assessment of glycemic, lipids and inflammatory markers using commercially available assays. The National Cholesterol Education Program Adult Treatment Panel (NCEP ATP III) criteria were used to define MetS. Results showed significantly higher levels of TTP in the MetS group than in controls [288.1 pg/mL vs. 150.9 pg/mL, p < 0.001]. Circulating TTP was significantly associated with tumor necrosis factor alpha [TNF-α, R = 0.30, p < 0.05], interleukin 1β [IL-1β, R = 0.41, p < 0.01] and C-reactive protein [CRP, R = 0.36, p < 0.01], adiponectin [R = 0.36, p < 0.05], insulin [R = 0.37, p < 0.05], and insulin resistance [HOMA-IR, R = 0.40, p < 0.05]. Receiver operating characteristics (ROC) suggest a potential use of TTP as diagnostic biomarker for MetS [AUC = 0.819, p < 0.001]. The findings suggest that TTP is associated with inflammation and glycemia, which may influence MetS. TTP is a promising diagnostic biomarker for MetS which can be confirmed in larger cohorts.

AEA, OEA and PEA as a Novel Diagnostic Biomarker Panel for Endometrial Cancer

2018 ◽  
Author(s):  
Thangesweran Ayakannu ◽  
Anthony H. Taylor ◽  
Timothy H. Marczylo ◽  
Mauro Maccarrone ◽  
Justin C. Konje
Keyword(s):  
Endometrial Cancer ◽  
Diagnostic Biomarker ◽  
Biomarker Panel
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