Discovery of plasma biomarkers with data‐independent acquisition mass spectrometry and antibody microarray for diagnosis and risk stratification of pulmonary embolism

2021 ◽  
Author(s):  
Bingqing Han ◽  
Chuanbao Li ◽  
Hexin Li ◽  
Ying Li ◽  
Xuanmei Luo ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Pulmonary Embolism ◽  
Risk Stratification ◽  
Antibody Microarray ◽  
Plasma Biomarkers ◽  
Data Independent Acquisition

Risk Stratification in Acute Pulmonary Embolism: The Latest Algorithms

2021 ◽  
Vol 42 (02) ◽  
pp. 183-198
Author(s):  
Georgios A. Triantafyllou ◽  
Oisin O'Corragain ◽  
Belinda Rivera-Lebron ◽  
Parth Rali
Keyword(s):  
Pulmonary Embolism ◽  
Risk Stratification ◽  
Prediction Models ◽  
Bleeding Risk ◽  
Hemodynamic Instability ◽  
Reperfusion Therapy ◽  
Mortality Prediction ◽  
Risk Scores ◽  
Short Term Mortality ◽  
Urgent Patient

AbstractPulmonary embolism (PE) is a common clinical entity, which most clinicians will encounter. Appropriate risk stratification of patients is key to identify those who may benefit from reperfusion therapy. The first step in risk assessment should be the identification of hemodynamic instability and, if present, urgent patient consideration for systemic thrombolytics. In the absence of shock, there is a plethora of imaging studies, biochemical markers, and clinical scores that can be used to further assess the patients' short-term mortality risk. Integrated prediction models incorporate more information toward an individualized and precise mortality prediction. Additionally, bleeding risk scores should be utilized prior to initiation of anticoagulation and/or reperfusion therapy administration. Here, we review the latest algorithms for a comprehensive risk stratification of the patient with acute PE.

Risk Stratification of Acute Pulmonary Embolism

2021 ◽  
Vol 23 (7) ◽  
Author(s):  
Yevgeniy Brailovsky ◽  
Sorcha Allen ◽  
Dalila Masic ◽  
David Lakhter ◽  
Sanjum S. Sethi ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Risk Stratification ◽  
Acute Pulmonary Embolism

scholarly journals Proteomic insights into synaptic signaling in the brain: the past, present and future

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yalan Xu ◽  
Xiuyue Song ◽  
Dong Wang ◽  
Yin Wang ◽  
Peifeng Li ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Protein Complexes ◽  
Synaptic Signaling ◽  
Brain Functions ◽  
The Past ◽  
Data Independent Acquisition ◽  
Technological Advances ◽  
Neural Communication ◽  
Chemical Synapses ◽  
The Brain

AbstractChemical synapses in the brain connect neurons to form neural circuits, providing the structural and functional bases for neural communication. Disrupted synaptic signaling is closely related to a variety of neurological and psychiatric disorders. In the past two decades, proteomics has blossomed as a versatile tool in biological and biomedical research, rendering a wealth of information toward decoding the molecular machinery of life. There is enormous interest in employing proteomic approaches for the study of synapses, and substantial progress has been made. Here, we review the findings of proteomic studies of chemical synapses in the brain, with special attention paid to the key players in synaptic signaling, i.e., the synaptic protein complexes and their post-translational modifications. Looking toward the future, we discuss the technological advances in proteomics such as data-independent acquisition mass spectrometry (DIA-MS), cross-linking in combination with mass spectrometry (CXMS), and proximity proteomics, along with their potential to untangle the mystery of how the brain functions at the molecular level. Last but not least, we introduce the newly developed synaptomic methods. These methods and their successful applications marked the beginnings of the synaptomics era.

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