Evidence map›Paper›PMID 42630754›Full record

ArticleACS measurement science au2026

Amplification-Free Detection of MiRNA Signatures in Milk: A Noninvasive Sensing Approach for Early Diagnosis of Bovine Mastitis.

Kandeel Shafique, Hedieh Haji-Hashemi, Łukasz Gontar, Ma̅ra Pilmane, Gergely Maróti, Beatriz Prieto-Simón

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Article in ACS measurement science au, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from 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.

2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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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.

Kandeel ShafiqueInstitute of Chemical Research of Catalonia, The Barcelona Institute of Science and Technology, Av. Països Catalans 16, 43007 Tarragona, Spain.
Hedieh Haji-HashemiInstitute of Chemical Research of Catalonia, The Barcelona Institute of Science and Technology, Av. Països Catalans 16, 43007 Tarragona, Spain.
Łukasz GontarResearch and Innovation Centre Pro-Akademia, 95-050 Konstantynów Łódzki, Poland.
Ma̅ra PilmaneInstitute of Anatomy and Anthropology, Rîga Stradin'š University, 9 Kronvalda Blvd., LV-1010 Rîga, Latvia.
Gergely MarótiSeqOmics Biotechnology Ltd., 6782 Morahalom, Hungary.
Beatriz Prieto-SimónInstitute of Chemical Research of Catalonia, The Barcelona Institute of Science and Technology, Av. Països Catalans 16, 43007 Tarragona, Spain.ORCID https://orcid.org/0000-0001-8016-1565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine mastitis is an infectious disease with a significant impact on the dairy industry. It causes reduced milk yield and quality, and occasional mortality. Early and accurate diagnosis is challenging, being especially critical for subclinical mastitis lacking visible symptoms. MicroRNAs (miRNAs) are emerging as promising biomarkers for mastitis. Herein, using next-generation sequencing, a distinct miRNA signature (miRNA-146b, miRNA-221, miRNA-223) is identified, which is differentially expressed in healthy and naturally infected subclinical cows. Next, electrochemical DNA sensors are developed by self-assembling methylene blue-tagged oligonucleotides, complementary to each miRNA, on gold electrodes. MiRNA detection is achieved by monitoring hybridization-induced conformational changes using square-wave voltammetry. The sensors exhibit a sigmoidal response (dynamic range 0.1-100 nM), with a limit of detection of 0.1 nM and excellent selectivity. Importantly, they demonstrate strong diagnostic performance in milk-derived RNA extracts, with receiver operating characteristic-area under the curve values of 0.88, 0.80, and 0.70 for miRNA-221, miRNA-146b, and miRNA-223, respectively. Moreover, the responses are biologically meaningful, as correlation analysis highlights distinct associations of miRNA-146b and miRNA-221 with inflammation, and of miRNA-221 and miRNA-223 with microbial burden. The amplification-free detection of clinically relevant miRNAs in milk extracts represents a significant advancement toward noninvasive testing for the early diagnosis of mastitis. The development of simple, sensitive, and specific sensors targeting unique signatures of host immune-derived biomarkers promises a new framework to improve disease management and antimicrobial stewardship.

Indexed as

bovine mastitisearly diagnosiselectrochemical DNA sensorsmilk analysismiRNA detection

Identifiers

PMID42630754
PMCPMC13495468

What Socratic holds

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Registered trials

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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 Socratic graph.