Precision Medicine Approach in Septic Patients

A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Intensive Care/ Anesthesiology".

Deadline for manuscript submissions: 20 December 2025 | Viewed by 3194

Special Issue Editors


E-Mail Website
Guest Editor
1. Department of Anesthesiology and Intensive Care I, ‘Fundeni’ Clinical Institute, 022328 Bucharest, Romania
2. Department of Anesthesiology and Intensive Care I, Faculty of Medicine, University of Medicine and Pharmacy, Carol Davila, 020021 Bucharest, Romania
Interests: intensive care of patients with chronic liver disease; ARDS; sepsis
Special Issues, Collections and Topics in MDPI journals

E-Mail Website1 Website2
Guest Editor Assistant
1. Department of Anesthesiology and Intensive Care I, Fundeni Clinical Institute, 022328 Bucharest, Romania
2. Department of Physiology, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
Interests: anesthesia in major abdominal surgery; perioperative neurocognition; epigenetics in hepatic diseases; epigenetic modulation of the brain
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We invite you to contribute to this Special Issue on the topic of sepsis in the context of precision medicine, focussing on the follow questions: what have we learned from evidence-based medicine? What are its limits, and what benefits are we expecting to gain from precision medicine?

Sepsis is one of the most prevalent pathologies in critically ill patients, which, despite well-established guidelines, causes high morbidity and mortality rates worldwide.

The main difficulty in the diagnosis and treatment of sepsis is the tremendous heterogeneity of this condition. The heterogeneity that characterizes sepsis ranges from its clinical presentation to the biological aspects of the disease. Guideline-based medicine approaches involve the treatment of a homogenous syndrome, regardless of the individual discrepancies between patients with sepsis, for whom these approaches may confer poor outcomes.

In recent years, personalized medicine has gained significant interest. The importance of understanding the genetic, epigenetic, and molecular basis of this condition is a of paramount importance in the tailoring of approaches to patients. The study of “omics”, such as cytomics, genomics, epigenomics, transcriptomics, proteomics, and metabolomics, provides a deeper comprehension of the complex interactions between the host, the disease, and the environment.

This Special Issue aims to gather valuable materials (original articles, reviews, and case reports) regarding the potential role of a personalized approach in sepsis management, considering the interactions between various “omics” and clinical phenotypes.

Dr. Gabriela Droc
Guest Editor

Dr. Sebastian Isac
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Medicina is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sepsis
  • septic shock
  • precision medicine
  • epigenomics
  • cytomics
  • genomics
  • proteomics
  • metabolomics
  • transcriptomics

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Review

23 pages, 1480 KiB  
Review
A Multivariate Phenotypical Approach of Sepsis and Septic Shock—A Comprehensive Narrative Literature Review
by Alina Tita, Sebastian Isac, Teodora Isac, Cristina Martac, Geani-Danut Teodorescu, Lavinia Jipa, Cristian Cobilinschi, Bogdan Pavel, Maria Daniela Tanasescu, Liliana Elena Mirea and Gabriela Droc
Medicina 2024, 60(11), 1740; https://doi.org/10.3390/medicina60111740 - 23 Oct 2024
Cited by 1 | Viewed by 2764
Abstract
Despite medical advances, sepsis and septic shock remain some of the leading causes of mortality worldwide, with a high inter-individual variability in prognosis, clinical manifestations and response to treatment. Evidence suggests that pulmonary sepsis is one of the most severe forms of sepsis, [...] Read more.
Despite medical advances, sepsis and septic shock remain some of the leading causes of mortality worldwide, with a high inter-individual variability in prognosis, clinical manifestations and response to treatment. Evidence suggests that pulmonary sepsis is one of the most severe forms of sepsis, while liver dysfunction, left ventricular dysfunction, and coagulopathy impact the prognostic. Sepsis-related hypothermia and a hypoinflammatory state are related to a poor outcome. Given the heterogeneity of sepsis and recent technological progress amongst machine learning analysis techniques, a new, personalized approach to sepsis is being intensively studied. Despite the difficulties when tailoring a targeted approach, with the use of artificial intelligence-based pattern recognition, more and more publications are becoming available, highlighting novel factors that may intervene in the high heterogenicity of sepsis. This has led to the devise of a phenotypical approach in sepsis, further dividing patients based on host and trigger-related factors, clinical manifestations and progression towards organ deficiencies, dynamic prognosis algorithms, and patient trajectory in the Intensive Care Unit (ICU). Host and trigger-related factors refer to patients’ comorbidities, body mass index, age, temperature, immune response, type of bacteria and infection site. The progression to organ deficiencies refers to the individual particularities of sepsis-related multi-organ failure. Finally, the patient’s trajectory in the ICU points out the need for a better understanding of interindividual responses to various supportive therapies. This review aims to identify the main sources of variability in clustering septic patients in various clinical phenotypes as a useful clinical tool for a precision-based approach in sepsis and septic shock. Full article
(This article belongs to the Special Issue Precision Medicine Approach in Septic Patients)
Show Figures

Figure 1

Back to TopTop