Evidence map›Paper›PMID 39239112›Full record

ArticleThe EPMA journal2024

Towards a personalized prediction, prevention and therapy of insomnia: gut microbiota profile can discriminate between paradoxical and objective insomnia in post-menopausal women.

Monica Barone, Morena Martucci, Giuseppe Sciara, Maria Conte, Laura Smeldy Jurado Medina, Lorenzo Iattoni, Filomena Miele, Cristina Fonti, Claudio Franceschi, Patrizia Brigidi and 4 more

Abstract read
In one paragraph

Article in The EPMA journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
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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

14 authors.

Monica Barone *Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Morena Martucci *Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Giuseppe SciaraDepartment of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
Maria ConteDepartment of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Laura Smeldy Jurado MedinaDepartment of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Lorenzo IattoniDepartment of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Filomena MieleIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Bologna, Italy.
Cristina FontiIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Bologna, Italy.
Claudio FranceschiDepartment of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Patrizia BrigidiDepartment of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Stefano SalvioliDepartment of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Federica ProviniIRCCS Istituto Delle Scienze Neurologiche Di Bologna, Bologna, Italy.
Silvia TurroniDepartment of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
Aurelia SantoroDepartment of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Insomnia persists as a prevalent sleep disorder among middle-aged and older adults, significantly impacting quality of life and increasing susceptibility to age-related diseases. It is classified into objective insomnia (O-IN) and paradoxical insomnia (P-IN), where subjective and objective sleep assessments diverge. Current treatment regimens for both patient groups yield unsatisfactory outcomes. Consequently, investigating the neurophysiological distinctions between P-IN and O-IN is imperative for devising novel precision interventions aligned with primary prediction, targeted prevention, and personalized medicine (PPPM) principles.Working hypothesis and methodology.Given the emerging influence of gut microbiota (GM) on sleep physiology via the gut-brain axis, our study focused on characterizing the GM profiles of a well-characterized cohort of 96 Italian postmenopausal women, comprising 54 insomniac patients (18 O-IN and 36 P-IN) and 42 controls, through 16S rRNA amplicon sequencing. Associations were explored with general and clinical history, sleep patterns, stress, hematobiochemical parameters, and nutritional patterns. Results: Distinctive GM profiles were unveiled between O-IN and P-IN patients. O-IN patients exhibited prominence in the Conclusions: These findings provide valuable insights into the microbiota-mediated mechanism of O-IN versus P-IN onset. GM profiling may thus serve as a tailored stratification criterion, enabling the identification of women at risk for specific insomnia subtypes and facilitating the development of integrated microbiota-based predictive diagnostics, targeted prevention, and personalized therapies, ultimately enhancing clinical effectiveness. Supplementary Information: The online version contains supplementary material available at 10.1007/s13167-024-00369-1.

Indexed as

AgingGut-brain axisGut microbiotaIndividualized patient profileInsomniaPatient stratificationPredictive Preventive Personalized Medicine (PPPM / 3PM)Sleep

Identifiers

PMID39239112
PMCPMC11371979

What OpenQuestion 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 OpenQuestion graph.