Evidence map›Paper›PMID 42098301›Full record

ReviewCurrent microbiology2026

Ultrasensitive Detection and Its Potential Applications in the Diagnosis of Brucellosis.

Lina He, Heiya Na, Yaoxin Zhang, Pei Gong, Huanmin Zhou, Fang Wan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Rapid Metagenomic Detection ofVeterinary sciences · 2026
    Article
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.

Lina He *College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Heiya Na *College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Yaoxin ZhangCollege of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Pei GongCollege of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Huanmin ZhouCollege of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China. huanminzhou@263.net.
Fang WanCollege of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China. fwan@imau.edu.cn.

Funding

Hohhot Basic and Applied Basic Research Science and Technology Plan Project 2025---14Natural Science Foundation of Inner Mongolia Autonomous Region 2024LHMS08055Natural Science Foundation of Inner Mongolia Autonomous Region 2025MS08058the Basic Scientific Research Funds for Inner Mongolia Autonomous Region Government BR22-14-02the Prairie Talent Leadership Program DC2000000754
6 · The paper itself

Abstract

Brucellosis is a major zoonotic disease caused by Brucella spp., notably B. melitensis, B. abortus, B. canis, and B. suis. It continues to impose a significant public health and economic burden in endemic regions, including parts of Asia, Africa, the Middle East, and Latin America. The clinical presentation of the disease is often nonspecific, and early, accurate diagnosis is further complicated by the susceptibility of conventional serological assays to cross-reactivity. This narrative review covers literature published between 2000 and 2025 regarding the detection of Brucella, indexed in PubMed, Web of Science, and China National Knowledge Infrastructure (CNKI). The review focuses on the limitations of traditional diagnostic methods and the performance characteristics and latest developments of emerging ultrasensitive detection technologies, including nucleic acid amplification (LAMP, RPA, SRCA), droplet digital PCR, CRISPR-Cas-based integrated systems, nanomaterial-enhanced assays, and protein/antigen-based biosensors. Their potential for integration into the One Health framework for zoonotic disease surveillance is also discussed.

Indexed as

BrucellaBrucellosisMolecular Diagnostic TechniquesAnimalsBiosensing TechniquesHumansNucleic Acid Amplification TechniquesSensitivity and SpecificityZoonoses

Identifiers

PMID42098301

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.