Evidence map›Paper›PMID 39286248›Full record

ArticleFrontiers in immunology2024

Single molecule measurements of microRNAs in the serum of patients with pulmonary tuberculosis.

Zhuhua Wu, Qiuchan Tan, Xiaojuan Jia, Huizhong Wu, Jing Liang, Wenpei Wen, Xuezhi Wang, Chenchen Zhang, Yuchuan Zhao, Yuhui Chen and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

13 authors.

Zhuhua Wu *College of Animal Science and Technology, Guangxi University, Nanning, Guangxi, China.
Qiuchan Tan *School of Basic Medical Sciences, Guangzhou Health Science College, Guangzhou, Guangdong, China.
Xiaojuan JiaCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Huizhong WuKey Laboratory of Translational Medicine of Guangdong, Center for Tuberculosis Control of Guangdong Province, Guangzhou, Guangdong, China.
Jing LiangDongguan Key Laboratory of Tuberculosis Control, The Sixth People's Hospital of Dongguan, Dongguan, Guangdong, China.
Wenpei WenKey Laboratory of Translational Medicine of Guangdong, Center for Tuberculosis Control of Guangdong Province, Guangzhou, Guangdong, China.
Xuezhi WangDepartment of Laboratory Medicine, Foshan Fourth People's Hospital, Foshan, Guangdong, China.
Chenchen ZhangKey Laboratory of Translational Medicine of Guangdong, Center for Tuberculosis Control of Guangdong Province, Guangzhou, Guangdong, China.
Yuchuan ZhaoKey Laboratory of Translational Medicine of Guangdong, Center for Tuberculosis Control of Guangdong Province, Guangzhou, Guangdong, China.
Yuhui ChenKey Laboratory of Translational Medicine of Guangdong, Center for Tuberculosis Control of Guangdong Province, Guangzhou, Guangdong, China.
Tingrong LuoCollege of Animal Science and Technology, Guangxi University, Nanning, Guangxi, China.
Wenjun LiuCollege of Animal Science and Technology, Guangxi University, Nanning, Guangxi, China.
Xunxun ChenKey Laboratory of Translational Medicine of Guangdong, Center for Tuberculosis Control of Guangdong Province, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: microRNAs (miRNAs) were recognized as a promising source of diagnostic biomarker. Herein, we aim to evaluate the performance of an ultrasensitive method for detecting serum miRNAs using single molecule arrays (Simoa). Methods: In this study, candidate miRNAs were trained and tested by RT-qPCR in a cohort of PTB patients. Besides that, ultrasensitive serum miRNA detection were developed using the Single Molecule Array (Simoa) platform. In this ultra-sensitive sandwich assay, two target-specific LNA-modified oligonucleotide probes can be simply designed to be complementary to the half-sequence of the target miRNA respectively. We characterized its analytical performance and measured miRNAs in the serum of patients with pulmonary tuberculosis and healthy individuals. Results: We identified a five signature including three upregulated (miR-101, miR-196b, miR-29a) and two downregulated (miR-320b, miR-99b) miRNAs for distinguishing PTB patients from HCs, and validated in our 104 PTB patients. On the basis of Simoa technology, we developed a novel, fully automated digital analyser, which can be used to directly detect miRNAs in serum samples without pre-amplification. We successfully detected miRNAs at femtomolar concentrations (with limits of detection [LODs] ranging from 0.449 to 1.889 fM). Simoa-determined serum miR-29a and miR-99b concentrations in patients with PTB ((median 6.06 fM [range 0.00-75.22]), (median 2.53 fM [range 0.00-24.95]), respectively) were significantly higher than those in HCs ((median 2.42 fM [range 0.00-28.64]) ( Conclusions: This study benchmarks the role of Simoa as a promising tool for monitoring miRNAs in serum and offers considerable potential as a non-invasive platform for the early diagnosis of PTB.

Indexed as

BiomarkersMicroRNAsTuberculosis, PulmonaryAdultAgedCirculating MicroRNAFemaleHumansMaleMiddle AgedBiomarkersCirculating MicroRNAMicroRNAsbiomarkermicroRNAsSerumsingle molecule arraytuberculosis

Identifiers

PMID39286248
PMCPMC11402676

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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 OpenQuestion graph.