Evidence map›Paper›PMID 42329525›Full record

ReviewMetabolic brain disease2026

Smart sensing the spectrum: cutting-edge biosensor and biomarker approaches for early autism detection.

Dhrubajyoti Ghosh, Samiran Sadhukhan, Mayank Attri, Tejinder Singh, Biplab Debnath, Pratyush Porel

Abstract readReview
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In one paragraph

Review in Metabolic brain disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dhrubajyoti GhoshDepartment of Pharmacology, Global College of Pharmaceutical Technology, Palpara More, Bhatjangla, Krishnagar, 741102, West Bengal, India.
Samiran SadhukhanDepartment of Pharmaceutical Chemistry, Netaji Subhas Chandra Bose Institute of Pharmacy, Chakdaha, Nadia, 741222, West Bengal, India.ORCID 0009-0006-3089-9493
Mayank AttriDepartment of Pharmacy, Global Group of Institutes, Amritsar, 143501, Punjab, India.
Tejinder SinghDepartment of Pharmacy, Global Group of Institutes, Amritsar, 143501, Punjab, India.
Biplab DebnathDepartment of Pharmaceutical Sciences, Bharat Technology, Banitabla, Uluberia, 711316, West Bengal, India.ORCID 0000-0002-3908-8121
Pratyush PorelDepartment of Pharmaceutical Sciences, Bharat Technology, Banitabla, Uluberia, 711316, West Bengal, India. 2315857@isfcp.org.ORCID 0009-0007-6271-4403

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder, often characterized by challenges in social interaction, repetitive behaviors, and restricted interests in work. Early diagnosis is critical for effective intervention, but current methods often rely on subjective behavioral assessments that can delay identification. This underscores the need for reliable biomarkers that can facilitate earlier detection of ASD. Biomarkers are primarily proteins in nature, found in blood, saliva, or other tissues, and have the potential to enhance diagnostic accuracy and speed. They can reveal underlying neurobiological changes associated with ASD, providing objective data to support clinical findings. The search for altered levels of certain amino acids and neurotransmitters and specific genetic biomarkers such as single-nucleotide polymorphisms (SNPs) and copy number variants (CNVs) has gained momentum, driven by the need for more definitive early diagnostic tools. Neuroinflammatory and neuroimaging biomarkers through MRI and fMRI have also shown promise for early detection of ASD. Recent advancements in biosensor technology have significantly improved the prospects for biomarker discovery in ASD. Innovations in nanotechnology and microfluidics have enabled the development of highly sensitive and specific biosensors that can trace minute quantities of biomarkers. These devices allow for non-invasive sampling and real-time monitoring, making early screening more feasible and accessible for young children. This review article mainly focuses on how the integration of these biosensor and biomarker technologies could transform the early detection of ASD, ultimately facilitating timely interventions and improving patients' outcomes.

Indexed as

Autism Spectrum DisorderBiosensing TechniquesBiomarkersEarly DiagnosisHumansMagnetic Resonance ImagingBiomarkersAutism spectrum disorderBiomarkersBiosensorsMetabolic biomarkersMRISNPs

Identifiers

PMID42329525

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.