Special Issue

The Pathogenesis of Sepsis

Submission Deadline: 31 Dec 2023

Guest Editors

  • Portrait of Guest Editor I‐Shiang Tzeng

    I‐Shiang Tzeng PhD

    Department of Statistic, National Taipei University, Taipei, Taiwan

    Interests: epidemiology; biostatistics; machine learning; electronic medical record database; statistical simulation

    Special Issue in IMR Press journals

  • Portrait of Guest Editor Zuowei Pei

    Zuowei Pei PhD

    Faculty of Medicine, Dalian University of Technology, Dalian, Liaoning, China,Department of Cardiology, Central Hospital of Dalian University of Technology, Dalian, Liaoning, China

    Interests: hypertension; heart failure; hyperlipidemia; molecular biology; cardiovascular physiology

Special Issue Information

Dear Colleagues,

After a pathogen infection, multiple organ dysfunctions cause the host to degenerate which causes by sepsis. Immune cells, platelets, and other host cells enter the inflammatory pathophysiology during pathogen invasion to protect the host. Pathogens are contained and destroyed during this process, which also harms host organs and increases inflammation. The SOFA score, which is determined by how severe organ failure, or APACHE II Scores used to determine the clinical diagnosis of sepsis. The pathogens occasionally produce chemicals to speed up the invasion process. Severity of sepsis may be determined by signal transduction pathways and molecular biomarkers generated by pathogens or the host during the infection process. These findings may provide fresh perspectives on the diagnosis and treatment of sepsis. Risks associated with sepsis with multiple organ dysfunction include morbidity and death. As a result, the prognosis for patients with the sepsis biomarkers may be improved by prompt treatment measures and early detection.

Moreover, clinical features (biomarkers) based methods for diagnosis and treatment of sepsis are mostly clinical and include laboratory testing, such as Systemic Inflammatory Response Syndrome (SIRS). For those syndrome, the hallmarks of inflammation, such as vasodilation, increased microvascular permeability, and leukocyte buildup, are visible in tissues far from the site of the initial injury. State-of-the-art in data oriented construction initiatives aim to establish reliable and robust empirical causality to behavior through comprehensive features-based analyzes.

This Research Topic aims to explore reliable clinical features for diagnosis and treatment or even prognosis through state-of-the-art in data oriented modeling involving wet and dry laboratory techniques, including in vivo in vitro, large data sets, data-mining, brain imaging, inhibitor, alternative medicine, nutrient(s), dietary, life style, exercise or fixed mechanisms, and advance in Sepsis.

Dr.  I‐Shiang Tzeng and Zuowei Pei
Guest Editors

Keywords

  • sepsis
  • organ dysfunction
  • SOFA score
  • APACHE II Scores
  • inflammatory process
  • SIRS
  • molecular biomarkers
  • pathogen infection
  • signal transduction mechanisms

Manuscript Submission Information

Manuscripts should be submitted via our online editorial system at https://imr.propub.com by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website. 

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. Submitted manuscripts should be well formatted in good English.

Published Paper (1)

Open Access Original Research
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