Serum protein profile analysis via label-free quantitation proteomics in patients with early-onset preeclampsia

Preeclampsia (PE) is a serious pregnancy complication, resulting in potentially life-threatening conditions for both mother and foetus. It is worth noting that early-onset PE has become a great challenge for clinicians due to its complex manifestation, rapid progression and serious complications. This study aims to investigate differential serum proteome profiles in patients with early-onset PE. Each serum sample was separated using a nanoliter flow rate Easy-nLC chromatography system. Then the samples were analysed by mass spectrometry. Bioinformatics analyses were conducted to analyse the functional categories or signal transduction pathways for differentially abundant proteins. Key proteins identified by mass spectrometry were verified by ELISA. We found 30 and 34 proteins were upregulated and downregulated in early-onset PE patients (n = 3) vs controls (n = 3), respectively. Functional enrichment analysis revealed differentially expressed proteins related to the immune response and regulation of peptidase activity. ELISA confirmed that there were lower CSH1 levels and higher LPA concentrations in the serum samples of early-onset PE patients (n = 22) than in healthy controls (n = 19) (p p  This study revealed the critical features of serum proteins in early-onset PE patients. LPA and CSH1 may serve as biomarkers for early-onset PE diagnosis and therapy. Early-onset preeclampsia (PE) is still lacking definitive diagnostic or therapeutic strategies. Thus, we tried to identify effective and specific biomarkers for early-onset PE. In this study, we explored the serum protein profiles through the approach of label-free quantitation proteomics between early-onset PE patients and healthy controls. We identified 64 differentially expressed proteins in early-onset PE patients’ serum samples. These differentially expressed proteins are associated with the immune response and regulation of peptidase activity. In addition, our findings suggest that LPA and CSH1 may serve as candidate biomarkers for early-onset PE diagnosis and therapy. These results may help physicians to diagnose early-onset PE clinically. What’s more, our findings provide new insights into the onset and progression of early-onset PE disease.</p

Kaplan-Meier event-time curve according to preoperative NT-pro-BNP levels.

<p>Kaplan-Meier event-time curve according to preoperative NT-pro-BNP levels.</p

Risk factors associated with MACE in a multivariable logistic regression analysis.

<p>COPD: chronic obstructive pulmonary disease; ACE: angiotensin converting enzyme inhibitor; ARB: angiotensin receptor blocker.</p><p>Risk factors associated with MACE in a multivariable logistic regression analysis.</p

Kaplan-Meier survival curves according to preoperative NT-pro-BNP and cTnI levels

<p>Kaplan-Meier survival curves according to preoperative NT-pro-BNP and cTnI levels</p

Supplemental data for “Association of Resting Heart Rate Trajectories with Cardiovascular Disease and Mortality in Diabetes Mellitus Patients”

This data is the supplemental data for "Association of Resting Heart Rate Trajectories with Cardiovascular Disease and Mortality in Diabetes Mellitus Patients". </p

Supplemental data for “Association of Resting Heart Rate Trajectories with Cardiovascular Disease and Mortality in Diabetes Mellitus Patients”

This data is the supplemental data for "Association of Resting Heart Rate Trajectories with Cardiovascular Disease and Mortality in Diabetes Mellitus Patients". </p

Supplemental data for the article “Association of Resting Heart Rate Trajectories with Cardiovascular Disease and Mortality in Diabetes Mellitus Patients”

This data is the supplemental data for the article "Association of Resting Heart Rate Trajectories with Cardiovascular Disease and Mortality in Diabetes Mellitus Patients".</p

Supplemental data for “Association of Resting Heart Rate Trajectories with Cardiovascular Disease and Mortality in Diabetes Mellitus Patients”

This data is the supplemental data for "Association of Resting Heart Rate Trajectories with Cardiovascular Disease and Mortality in Diabetes Mellitus Patients". </p