Evidence map›Paper›PMID 40182638›Full record

ArticleFrontiers in endocrinology2025

Serum microRNAs as peripheral markers of primary aldosteronism.

Nikita Makhnov, Fredrik Axling, Elham Barazeghi, Peter Stålberg, Tobias Åkerström, Per Hellman

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. 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. Review
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.

Nikita Makhnov *Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Fredrik Axling *Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Elham BarazeghiDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Peter StålbergDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Tobias ÅkerströmDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Per HellmanDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Primary aldosteronism (PA) is the principal cause of secondary hypertension; it leads to significantly elevated cardiovascular morbidity and mortality, but only a fraction of its cases ever get detected, partially due to diagnostic procedures that are difficult to perform and to interpret. More straightforward diagnostic methods are needed. Lateralized, or unilateral PA (uPA), is best treated by surgery. Bilateral PA (bPA) is treated medically. Aim: The aim of our study was to explore microRNA (miRNA) in peripheral blood as markers of PA, uPA and bPA. Methods: In groups of subjects with primary hypertension (HT, n = 11), bPA (n = 12), and uPA (n = 16), peripheral serum was used for isolation of total RNA, library preparation, and NGS sequencing to achieve a comparative analysis of miRNA expression. Five-fold cross-validation support vector machine learning (ML) models were employed to search for miRNA that could be used as markers of PA and its forms. Results: In our cohort of patients, the discovered combinations of miRNAs could, with a high level of accuracy, sensitivity, and specificity, characterize the difference between HT and PA, as well as between a combined group of HT + bPA vs. uPA. The differentiating parameters were moderately good for comparison of bPA vs. uPA. Conclusion: Within our patient cohort, and using ML, the study identified distinctly different miRNA profiles between HT and PA, as well as between bPA and uPA. Further validation studies may lead to the emergence of a new tool for clinical diagnostics of PA.

Indexed as

BiomarkersHyperaldosteronismMicroRNAsAdultFemaleHumansHypertensionMaleMiddle AgedBiomarkersMicroRNAsdiagnosticsgenetic markershyperaldosteronismhypertensionmachine learningmicroRNAsprimary aldosteronismserum

Identifiers

PMID40182638
PMCPMC11967191

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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.