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Medical Imaging Technology in Molecular Pathological Mechanisms and Disease Therapies

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pathology, Diagnostics, and Therapeutics".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 3188

Special Issue Editor


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Guest Editor
Radiation and Cellular Oncology, Center for EPR Imaging In Vivo Physiology, University of Chicago, Chicago, IL, USA
Interests: low frequency-imaging-electron paramagnetic resonance (VLF-I-EPR); Radiation Oncology; Physiology of Tumors; imaging technique

Special Issue Information

Dear Colleagues,

Medical imaging technology is of paramount importance in human disease and cancer therapy, transitioning from adjunctive information to a dominant assessment and measurement tool used for screening, diagnosis, and guidance of disease therapies. To improve accuracy and evidence-based analysis, medical imaging has incorporated novel imaging techniques to combine the pathological and molecular characteristics of a disease or cancer, as well as to measure early changes as useful biomarkers.

In this Special Issue, we aim to collate research on quantitative imaging of disease processes with the intent to localize portions of the disease that can be shown to be resistant to medical intervention (pharmaceutical or localized toxin delivery). We will welcome both original research and review articles exploring all aspects of molecular pathogenesis and therapeutic roles of human diseases or cancers. Please note, though we cannot accept pure clinical studies, clinical research or pure model submissions together with biomolecular experiments or data will be considered for publication.

Potential topics include, but are not limited to, the following:

  1. Applications of imaging technology in exploring pathological molecular mechanisms;
  2. Disease bioinformatics and genomics analysis;
  3. Cancer diagnosis and prevention via imaging technology;
  4. Advancements in bioimaging applications in anti-tumor drug discovery;
  5. Imaging technology to measure pathological mechanisms and find therapy targets.

We look forward to receiving your manuscripts.

Prof. Dr. Howard J. Halpern
Guest Editor

Manuscript Submission Information

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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. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions 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 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

  • medical imaging
  • fluorescent probe
  • molecular imaging;oxygen
  • redox
  • cancer therapy
  • resistance
  • electron paramagnetic resonance
  • imaging reconstruction
  • tumor/cancer microenvironment
  • pathological mechanisms
  • bioinformatics
  • genomics analysis
  • anti-cancer drug discovery
  • toxin delivery

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Published Papers (2 papers)

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Research

24 pages, 5856 KiB  
Article
A Study of the Association between Primary Oral Pathologies (Dental Caries and Periodontal Diseases) Using Synchrotron Molecular FTIR Spectroscopy in View of the Patient’s Personalized Clinical Picture (Demographics and Anamnesis)
by Pavel Seredin, Tatiana Litvinova, Yuri Ippolitov, Dmitry Goloshchapov, Yaroslav Peshkov, Vladimir Kashkarov, Ivan Ippolitov and Boknam Chae
Int. J. Mol. Sci. 2024, 25(12), 6395; https://doi.org/10.3390/ijms25126395 - 10 Jun 2024
Viewed by 767
Abstract
In this exploratory study, we searched for associations between the two most common diseases of the oral cavity—dental caries and periodontal diseases—taking into account additional factors, such as personalized clinical pictures (the individual risk factors of the patient), based on the method of [...] Read more.
In this exploratory study, we searched for associations between the two most common diseases of the oral cavity—dental caries and periodontal diseases—taking into account additional factors, such as personalized clinical pictures (the individual risk factors of the patient), based on the method of a multivariate data analysis of the molecular changes in the composition of human gingival crevicular fluid (GCF). For this purpose, a set of synchrotron Fourier-transform infrared spectroscopy (FTIR) spectra of gingival crevicular fluid samples from patients with different demographics, levels of dental caries development and periodontal diseases, and the presence/absence of concomitant chronic diseases were obtained and analyzed. Using a set of techniques (v-, F-, Chi-square tests; a principal component analysis (PCA); and the hierarchical clustering of principal components (HCPCs)) implemented in the R package FactoMineR allowed us to assess the relationship between the principal components (PCs) and characteristics of the respondents. By identifying the features (vibrational modes in the FTIR spectra) that contribute most to the differentiation of the spectral dataset, and by taking into account the interrelationships between the patients’ characteristics, we were able to match specific biological markers (specific molecular groups) to the two factors of interest—two types of oral pathologies. The results obtained show that the observed changes in the quantitative and qualitative composition of the modes in the infrared (IR) spectra of the GCF samples from patients with different dental caries developments and periodontal diseases present confirm the difficulty of identifying patient-specific spectral information. At the same time, different periodontal pathologies are more closely associated with other characteristics of the patients than the level of their caries development. The multivariate analysis performed on the spectral dataset indicates the need to take into account not only the co-occurrence of oral diseases, but also some other factors. The lack of this consideration (typical in lots of studies in this area) may lead to misinterpretations and consequently to a loss of data when searching for biological markers of certain oral diseases. Full article
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16 pages, 3025 KiB  
Article
Enhancing Bone Infection Diagnosis with Raman Handheld Spectroscopy: Pathogen Discrimination and Diagnostic Potential
by Richard Andreas Lindtner, Alexander Wurm, Elena Pirchner, David Putzer, Rohit Arora, Débora Cristina Coraça-Huber, Michael Schirmer, Jovan Badzoka, Christoph Kappacher, Christian Wolfgang Huck and Johannes Dominikus Pallua
Int. J. Mol. Sci. 2024, 25(1), 541; https://doi.org/10.3390/ijms25010541 - 30 Dec 2023
Viewed by 1947
Abstract
Osteomyelitis is a bone disease caused by bacteria that can damage bone. Raman handheld spectroscopy has emerged as a promising diagnostic tool for detecting bone infection and can be used intraoperatively during surgical procedures. This study involved 120 bone samples from 40 patients, [...] Read more.
Osteomyelitis is a bone disease caused by bacteria that can damage bone. Raman handheld spectroscopy has emerged as a promising diagnostic tool for detecting bone infection and can be used intraoperatively during surgical procedures. This study involved 120 bone samples from 40 patients, with 80 samples infected with either Staphylococcus aureus or Staphylococcus epidermidis. Raman handheld spectroscopy demonstrated successful differentiation between healthy and infected bone samples and between the two types of bacterial pathogens. Raman handheld spectroscopy appears to be a promising diagnostic tool in bone infection and holds the potential to overcome many of the shortcomings of traditional diagnostic procedures. Further research, however, is required to confirm its diagnostic capabilities and consider other factors, such as the limit of pathogen detection and optimal calibration standards. Full article
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