ReviewBiophysical reviews2021
Human disease biomarker panels through systems biology.
Review in Biophysical reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evidence of cancer: a systematic review of metabolomics in extracellular vesicles for cancer biomarker detection.Metabolomics : Official journal of the Metabolomic Society · 2025Pooled it
- Biofluid Biomarkers of Neuronal and Glial Injury in Epilepsy and Seizures: A Comprehensive Review.International journal of molecular sciences · 2026Review
- Endothelial biomarkers predict kidney and cardiovascular outcomes after acute kidney injury.Clinical kidney journal · 2026Article
- Human milk microbiome as a modulator of the early-life gut-brain axis: mechanisms and translational opportunities for neurodevelopment.Journal of translational medicine · 2026Review
- Human biomarker navigator.iMeta · 2026Review
- Stratified profiling of azoospermia: Differentiating histological subtypes with seminal plasma metabolic signatures.Journal of biomedical research · 2026Article
- A Predictive Model for Major Adverse Aortic Events in Patients with Abdominal Aortic Aneurysm Using Clinical and Biomarker Data.International journal of molecular sciences · 2026Article
- Trefoil Factor 3 as a Biomarker for Peripheral Artery Disease.Biomolecules · 2026Article
- Comparison of Fatty Acid Binding Protein 3 and Ankle Brachial Index for Predicting Peripheral Artery Disease Outcomes.Biomolecules · 2026Article
- Novel TMS-derived metrics enable machine learning classification of major depressive disorder.NPP - digital psychiatry and neuroscience · 2026Article
- Emerging biomarkers for gestational diabetes mellitus and related pediatric outcomes.World journal of clinical pediatrics · 2025Review
- Special Issue "Translating Molecular Psychiatry: From Biomarkers to Personalized Therapies".International journal of molecular sciences · 2025Article
- Lambda Theta Reflectometry: A New Technique for Measuring Optical Film Thickness in Planar Protein Arrays.ACS sensors · 2025Article
- Prediction of Major Adverse Limb Events in Females with Peripheral Artery Disease using Blood-Based Biomarkers and Clinical Features.Journal of cardiovascular translational research · 2025Article
- Retinal Biomarkers in Diabetic Retinopathy: From Early Detection to Personalized Treatment.Journal of clinical medicine · 2025Review
- Linking oxidative stress biomarkers to disease progression and antioxidant therapy in hypertension and diabetes mellitus.Frontiers in molecular biosciences · 2025Review
- Investigating the Prognostic Potential of Plasma ST2 in Patients with Peripheral Artery Disease: Identification and Evaluation.Proteomes · 2024Article
- Inflammatory Protein Panel: Exploring Diagnostic Insights for Peripheral Artery Disease Diagnosis in a Cross-Sectional Study.Diagnostics (Basel, Switzerland) · 2024Article
- The Identification and Evaluation of Interleukin-7 as a Myokine Biomarker for Peripheral Artery Disease Prognosis.Journal of clinical medicine · 2024Article
- A machine learning algorithm for peripheral artery disease prognosis using biomarker data.iScience · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As more uses for biomarkers are sought after for an increasing number of disease targets, single-target biomarkers are slowly giving way for biomarker panels. These panels incorporate various sources of biomolecular and clinical data to guarantee a higher robustness and power of separation for a clinical test. Multifactorial diseases such as psychiatric disorders show great potential for clinical use, assisting medical professionals during the analysis of risk and predisposition, disease diagnosis and prognosis, and treatment applicability and efficacy. More specific tests are also being developed to assist in ruling out, distinguishing between, and confirming suspicions of multifactorial diseases, as well as to predict which therapy option may be the best option for a given patient's biochemical profile. As more complex datasets are entering the field, involving multi-omic approaches, systems biology has stepped in to facilitate the discovery and validation steps during biomarker panel generation. Filtering biomolecules and clinical data, pre-validating and cross-validating potential biomarkers, generating final biomarker panels, and testing the robustness and applicability of those panels are all beginning to rely on machine learning and systems biology and research in this area will only benefit from advances in these approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.