Evidence map›Paper›PMID 37022140›Full record

Trial reporteLife2023

The effect of weight loss following 18 months of lifestyle intervention on brain age assessed with resting-state functional connectivity.

Gidon Levakov, Alon Kaplan, Anat Yaskolka Meir, Ehud Rinott, Gal Tsaban, Hila Zelicha, Matthias Blüher, Uta Ceglarek, Michael Stumvoll, Ilan Shelef and 2 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

12 authors at 3 institutions in 3 countries.

Gidon Levakov *Department of Brain and Cognitive Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.ORCID 0000-0002-5520-3556
Alon Kaplan *The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.ORCID 0000-0002-9123-8094
Anat Yaskolka MeirThe Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Ehud RinottThe Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Gal TsabanThe Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Hila ZelichaThe Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Matthias BlüherDepartment of Medicine, University of Leipzig, Leipzig, Germany.
Uta CeglarekDepartment of Medicine, University of Leipzig, Leipzig, Germany.
Michael StumvollDepartment of Medicine, University of Leipzig, Leipzig, Germany.
Ilan ShelefDepartment of Diagnostic Imaging, Soroka Medical Center, Beer Sheva, Israel.
Galia Avidan *Department of Psychology, Ben-Gurion University of the Negev, Beer Sheva, Israel.ORCID 0000-0003-2293-3859
Iris Shai *The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Ben-Gurion University of the Negev · ILLeipzig University · DESoroka Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity negatively impacts multiple bodily systems, including the central nervous system. Retrospective studies that estimated chronological age from neuroimaging have found accelerated brain aging in obesity, but it is unclear how this estimation would be affected by weight loss following a lifestyle intervention. Methods: In a sub-study of 102 participants of the Dietary Intervention Randomized Controlled Trial Polyphenols Unprocessed Study (DIRECT-PLUS) trial, we tested the effect of weight loss following 18 months of lifestyle intervention on predicted brain age based on magnetic resonance imaging (MRI)-assessed resting-state functional connectivity (RSFC). We further examined how dynamics in multiple health factors, including anthropometric measurements, blood biomarkers, and fat deposition, can account for changes in brain age. Results: To establish our method, we first demonstrated that our model could successfully predict chronological age from RSFC in three cohorts (n=291;358;102). We then found that among the DIRECT-PLUS participants, 1% of body weight loss resulted in an 8.9 months' attenuation of brain age. Attenuation of brain age was significantly associated with improved liver biomarkers, decreased liver fat, and visceral and deep subcutaneous adipose tissues after 18 months of intervention. Finally, we showed that lower consumption of processed food, sweets and beverages were associated with attenuated brain age. Conclusions: Successful weight loss following lifestyle intervention might have a beneficial effect on the trajectory of brain aging. Funding: The German Research Foundation (DFG), German Research Foundation - project number 209933838 - SFB 1052; B11, Israel Ministry of Health grant 87472511 (to I Shai); Israel Ministry of Science and Technology grant 3-13604 (to I Shai); and the California Walnuts Commission 09933838 SFB 105 (to I Shai).

Indexed as

ExerciseObesityBrainHumansInfantLife StyleRetrospective StudiesWeight Lossbrain ageepidemiologyfunctional connectivityglobal healthhumanlifestyle interventionMediterranean dietMRIobesity

Identifiers

PMID37022140
PMCPMC10174688
OpenAlexW4362658368

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.