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Diagnostics
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Biomarkers: Diagnostic Indicators for Human Ailments
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Biomarkers: Diagnostic Indicators for Human Ailments

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 478

Special Issue Editor

Dr. Jun Zhang

E-Mail Website
Guest Editor
Texas Tech University Health Sciences Center El Paso, El Paso, TX 79409 801, USA
Interests: angiogenesis; tumorigenesis; molecular genetics; molecular biology; biochemistry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Biomarkers, indicators of medical conditions, play a pivotal role in both research and clinical settings. These quantifiable measures, observed externally, offer accurate and reproducible insights into a patient's health state. Their significance spans basic and clinical research, as well as routine clinical practice, and they have become integral even as primary endpoints in clinical trials.

The integration of biomarkers into clinical trials has become so commonplace that their inclusion as primary endpoints is widely accepted. This is particularly valid for well-defined biomarkers that consistently and accurately predict pertinent clinical outcomes across various treatments and populations. Such integration is not only justified but also essential for advancing medical knowledge and improving patient care.

By assembling comprehensive insights and discussions, this Special Issue strives to offer a holistic view of the diverse applications and implications of biomarkers across a spectrum of medical domains. The overarching goal is to enhance understanding among researchers, clinicians, and the medical community at large, thereby fostering the development of innovative diagnostic tools, effective treatment strategies, and improved patient outcomes. Through a multidimensional exploration of current biomarker research, this issue seeks to illuminate the path forward for harnessing the power of biomarkers in sha** the future of medicine.

Dr. Jun Zhang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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. Diagnostics 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

  • biomarkers
  • diagnostics
  • prognostic
  • predictive
  • patient care

Published Papers (1 paper)

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Review

35 pages, 2280 KiB  
Review
Endocrine Petrified Ear: Associated Endocrine Conditions in Auricular Calcification/Ossification (A Sample-Focused Analysis)
by Ana Valea, Claudiu Nistor, Mihai-Lucian Ciobica, Oana-Claudia Sima and Mara Carsote
Diagnostics 2024, 14(12), 1303; https://doi.org/10.3390/diagnostics14121303 - 19 Jun 2024
Viewed by 244
Abstract
Petrified ear (PE), an exceptional entity, stands for the calcification ± ossification of auricular cartilage (CAC/OAC); its pathogenic traits are still an open matter. Endocrine panel represents one of the most important; yet, no standard protocol of assessments is available. Our objective was [...] Read more.
Petrified ear (PE), an exceptional entity, stands for the calcification ± ossification of auricular cartilage (CAC/OAC); its pathogenic traits are still an open matter. Endocrine panel represents one of the most important; yet, no standard protocol of assessments is available. Our objective was to highlight most recent PE data and associated endocrine (versus non-endocrine) ailments in terms of presentation, imagery tools, hormonal assessments, biopsy, outcome, pathogenic features. This was a comprehensive review via PubMed search (January 2000–March 2024). A total of 75 PE subjects included: 46 case reports/series (N = 49) and two imagery-based retrospective studies (N = 26) with CAC/OAC prevalence of 7–23% (N = 251) amid routine head/temporal bone CT scans. Endocrine PE (EPE): N = 23, male/female ratio = 10.5; average age = 56.78, ranges: 22–79; non-EPE cohort: N = 26; male/female ratio = 1.88, mean age = 49.44; ranges: 18–75 (+a single pediatric case).The longest post-diagnosis follow-up was of 6–7 years. The diagnosis of PE and endocrine anomalies was synchronous or not (time gap of 10–20 years). A novel case in point (calcified EPE amid autoimmune poly-endocrine syndrome type 2 with a 10-year post-diagnosis documented follow-up) was introduced. We re-analyzed EPE and re-classified another five subjects as such. Hence, the final EPE cohort (N = 50) showed: adrenal insufficiency was the most frequent endocrine condition (36%) followed by hypopituitarism (22%) and hypothyroidism (18%); 39% of the patients with adrenal failure had Addison’s disease; primary type represented 72% of all cases with hypothyroidism; an endocrine autoimmune (any type) component was diagnosed in 18%. We propose the term of “endocrine petrified ear” and a workflow algorithm to assess the potential hormonal/metabolic background in PE. Full article
(This article belongs to the Special Issue Biomarkers: Diagnostic Indicators for Human Ailments)
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