ReviewSensors (Basel, Switzerland)2023
Immunosensors for Autoimmune-Disease-Related Biomarkers: A Literature Review.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
8 citing papers in PubMed, 20 citations in OpenAlex.
- Sensitive detection of unopposed estrogen using estrogen receptor functionalized nanoprobes for cancer diagnosis.Discover nano · 2026Review
- Immunochemical Determination of IgE and IgG Autoantibodies in Patients with Chronic Spontaneous Urticaria: A Narrative Review.Antibodies (Basel, Switzerland) · 2026Review
- Detection of Diagnostic Antibodies in Immune-Mediated Diseases: A Focus on Antigens and Technologies.Chembiochem : a European journal of chemical biology · 2026Review
- Label-Free Electrochemical Biosensors: An Updated Perspective Focused on Genosensing, Multiplexing, and Commercial Potential.Biosensors · 2026Review
- Microfluidic technologies for wearable and implantable biomedical devices.Lab on a chip · 2025Review
- Sensing of Quercetin With Cobalt-Doped Manganese Nanosystems by Electrochemical Method.Cureus · 2024Article
- Recent Advances in Biosensors for Diagnosis of Autoimmune Diseases.Sensors (Basel, Switzerland) · 2024Review
- Advancements of paper-based sensors for antibiotic-resistant bacterial species identification.Npj biosensing · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immunosensors are a special class of biosensors that employ specific antibodies for biorecognition of the target analyte. Immunosensors that target disease biomarkers may be exploited as tools for disease diagnosis and/or follow-up, offering several advantages over conventional analytical techniques, such as rapid and easy analysis of patients' samples at the point-of-care. Autoimmune diseases have been increasingly prevalent worldwide in recent years, while the COVID-19 pandemic has also been associated with autoimmunity. Consequently, demand for tools enabling the early and reliable diagnosis of autoimmune diseases is expected to increase in the near future. To this end, interest in immunosensors targeting autoimmune disease biomarkers, mainly, various autoantibodies and specific pro-inflammatory proteins (e.g., specific cytokines), has been rekindled. This review article presents most of the immunosensors proposed to date as potential tools for the diagnosis of various autoimmune diseases, such as type 1 diabetes, rheumatoid arthritis, and multiple sclerosis. The signal transduction and the immunoassay principles of each immunosensor have been suitably classified and are briefly presented along with certain sensor elements, e.g., special nano-sized materials used in the construction of the immunosensing surface. The main concluding remarks are presented and future perspectives of the field are also briefly discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.