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The Future of Inflammatory Biomarkers: Challenges and Clinical Integration
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The Future of Inflammatory Biomarkers: Challenges and Clinical Integration

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Immunology".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 1706

Special Issue Editors

Dr. Sabina Galiniak

E-Mail Website
Guest Editor
Institute of Medical Sciences, Rzeszów University, Rzeszów, Poland
Interests: biomarkers; inflammation; oxidative stress; molecular biology
Special Issues, Collections and Topics in MDPI journals
Dr. Marek Biesiadecki

E-Mail Website
Guest Editor Assistant
Institute of Medical Sciences, Rzeszów University, Rzeszów, Poland
Interests: biomarkers; inflammation; oxidative stress; molecular biology

Special Issue Information

Dear Colleagues,

Current research underscores the complexity and variability of inflammatory responses, necessitating precise biomarkers for improved clinical outcomes. Key problems to be addressed include the identification of specific biomarkers that can reliably differentiate between various inflammatory conditions, the development of standardized protocols for biomarker measurement, and the integration of these biomarkers into routine clinical practice.

The scope of this Special Issue encompasses the discovery of novel inflammatory biomarkers, validation of existing biomarkers, and their clinical application in many diseases. It also includes studies on the molecular mechanisms underlying biomarker expression and their role in disease pathogenesis. Researchers are encouraged to contribute original research articles, reviews, and clinical studies that provide insights into the utility of inflammatory biomarkers, ultimately aiming to enhance patient management and therapeutic strategies. Through this focused collection of research, the Special Issue seeks to bridge gaps in knowledge and foster the translation of biomarker research into clinical practice.

Dr. Sabina Galiniak
Guest Editor

Dr. Marek Biesiadecki
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. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly 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 2600 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

  • inflammatory marker
  • inflammation
  • biomarker
  • cancers
  • rheumatoid arthritis
  • inflammatory bowel disease
  • respiratory diseases

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Published Papers (2 papers)

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Research

20 pages, 1372 KiB  
Article
Comparison of Metabolic Syndrome, Autoimmune and Viral Distinctive Inflammatory Related Conditions as Affected by Body Mass Index
by Lourdes Chero-Sandoval, María Martínez-Urbistondo, Amanda Cuevas-Sierra, Andrea Higuera-Gómez, Eva Martin-Domenech, Raquel Castejón, Susana Mellor-Pita, Víctor Moreno-Torres, Omar Ramos-Lopez, Daniel de Luis, Juan Antonio Vargas and J. Alfredo Martínez
J. Clin. Med. 2024, 13(21), 6298; https://doi.org/10.3390/jcm13216298 - 22 Oct 2024
Viewed by 566
Abstract
Background: Metabolic inflammation (MI), long COVID (LC) and systemic lupus erythematosus (SLE) share some metabolic common manifestations and inflammatory pathophysiological similarities. Health-related quality of life (HRQoL) and metabolic age are indicators of health status. The “METAINFLAMMATION-CM Y2020/BIO-6600” project, a prospective controlled study, [...] Read more.
Background: Metabolic inflammation (MI), long COVID (LC) and systemic lupus erythematosus (SLE) share some metabolic common manifestations and inflammatory pathophysiological similarities. Health-related quality of life (HRQoL) and metabolic age are indicators of health status. The “METAINFLAMMATION-CM Y2020/BIO-6600” project, a prospective controlled study, aimed to identify differential diagnostic tools and clinical features among three inflammatory conditions by comparing obesity status (low BMI vs. high BMI). Methods: A total of 272 adults of both Caucasian and Hispanic descent, diagnosed with MI, LC or SLE, and a range of BMI, were recruited. Clinical and phenotypic traits were measured to analyze body composition, metabolic and inflammatory markers, HRQoL data, metabolic age and lifestyle habits using a 3 × 2 (disease × BMI) factorial design. Results: Some inflammatory related variables, such as fibrinogen, RDW (red cell blood distribution width), ESR (erythrocyte sedimentation rate) and NLR (neutrophil/lymphocyte ratio), showed effect modifications depending on the BMI and disease type. In relation to HRQoL, the Physical Component Summary (PCS12) showed no relevant changes, while the Mental Component Summary (MCS12) showed a significant effect modification according to the disease type and BMI (p < 0.05). Furthermore, a significant interaction was identified between the disease type and BMI in relation to metabolic age (p = 0.02). Conclusions: Assessing the impact of BMI on these three inflammatory diseases may help to prevent clinical complications and to design personalized treatments, especially for patients with SLE, who have a worse prognosis with an increased BMI compared to the other two inflammatory diseases. Full article
(This article belongs to the Special Issue The Future of Inflammatory Biomarkers: Challenges and Clinical Integration)
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9 pages, 751 KiB  
Article
Predictive Value of Neutrophil–Lymphocyte Ratio and Other Inflammation Indices in Febrile Seizures in Children
by Yakup Söğütlü and Uğur Altaş
J. Clin. Med. 2024, 13(17), 5330; https://doi.org/10.3390/jcm13175330 - 9 Sep 2024
Cited by 1 | Viewed by 831
Abstract
Objective: There is increasing evidence for the effect of inflammation on the etiology of febrile seizure (FS) patients. We aimed to investigate the role of easily accessible inflammatory markers such as the neutrophil–lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index [...] Read more.
Objective: There is increasing evidence for the effect of inflammation on the etiology of febrile seizure (FS) patients. We aimed to investigate the role of easily accessible inflammatory markers such as the neutrophil–lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), neutrophil–lymphocyte–platelet ratio (NLPR), and pan-immune-inflammation value (PIV) in febrile seizure. Methods: A total of 300 children, including 100 with febrile convulsions (FS), 100 febrile controls (FCs), and 100 healthy controls (HCs), were included in this retrospective study. The FS group was compared with the FC and HC groups in terms of these inflammatory indexes. Results: Between the FS group and the FC group, the neutrophil count was significantly higher in the FS group (p = 0.001) and the lymphocyte count was significantly lower (p < 0.001). The NLR (p < 0.001), SII (p < 0.001), SIRI (p < 0.001), NLPR (p < 0.001), and PIV (p < 0.001) were significantly higher in the FS group than in both the FC and healthy control groups. The optimal cut-off values for predicting FS in febrile conditions were 3.59> for NLR, >870.47 for SII, >1.96 for SIRI, 0.96> for NLPR, and >532.75 for PIV. Conclusions: The inflammatory indices are inexpensive, easily accessible hematological markers that can contribute to the diagnosis of FS. Full article
(This article belongs to the Special Issue The Future of Inflammatory Biomarkers: Challenges and Clinical Integration)
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