Advances in the Diagnosis and Phenotyping of Metabolic Disorders
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 133
Special Issue Editor
Special Issue Information
Dear Colleagues,
Metabolic disorders, encompassing diabetes, obesity, NAFLD/NASH, and dyslipidemia, represent a profound global health challenge. This has accelerated a paradigm shift from reactive care towards precision medicine, a transition fundamentally propelled by advances in diagnostics. The integration of novel technologies and deeper mechanistic insights is reshaping how we detect, stratify, and understand these diseases.
We invite you to contribute to our Special Issue entitled “Advances in the Diagnosis and Phenotyping of Metabolic Disorders” in Diagnostics. This Special Issue aims to curate a collection of high-quality research and reviews that highlight transformative approaches in metabolic disease diagnostics. We seek to explore how innovation is enhancing clinical decision-making and paving the way for personalized management.
We welcome submissions that address, but are not limited to, the following themes:
- Innovative Diagnostic Modalities: Multi-omics integration (genomics, proteomics, and metabolomics), AI and machine learning for data analytics, continuous and non-invasive monitoring technologies.
- Biomarker Discovery and Validation: Novel biochemical, molecular, or imaging biomarkers for early detection, risk prediction, and disease subtyping.
- Mechanistic Insights with Diagnostic Value: Research elucidating disease mechanisms (e.g., metabolic inflammation, the gut–organ axis, and circadian biology) that reveal new diagnostic targets or stratification frameworks.
- Development of Diagnostic Tools and Assays: From point-of-care testing to advanced imaging techniques and clinical decision support systems.
- Precision Phenotyping: Strategies for refining disease classification and predicting progression or therapeutic response based on diagnostic profiles.
We believe your valuable contributions will significantly advance the field and foster a more precise, predictive, and preventive future for metabolic health.
Prof. Dr. Zhiguang Su
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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
- metabolic disorders
- precision diagnosis
- biomarker discovery
- multi-omics
- artificial intelligence (AI)
- disease phenotyping
- diagnostic technologies
- clinical decision support
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