Evidence map›Paper›PMID 39371136›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Hypothalamic Gliosis is Associated With Multiple Cardiovascular Disease Risk Factors.

Justin Lo, Susan J Melhorn, Sarah Kee, Kelsey Lw Olerich, Alyssa Huang, Dabin Yeum, Alexa Beiser, Sudha Seshadri, Charles De Carli, Ellen A Schur

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Justin LoSchool of Medicine, University of Washington, Seattle, WA.
Susan J MelhornDepartment of Medicine, University of Washington, Seattle, WA.
Sarah KeeDepartment of Medicine, University of Washington, Seattle, WA.
Kelsey Lw OlerichDepartment of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, University of Washington, Seattle, WA.
Alyssa HuangDepartment of Pediatrics, University of Washington, Seattle, WA.
Dabin YeumDepartment of Medicine, University of Washington, Seattle, WA.ORCID 0000-0001-9575-4849
Alexa BeiserSchool of Public Health, Boston University, Boston, MA.
Sudha SeshadriDepartment of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX.
Charles De CarliDepartment of Neurology, University of California, Davis, Davis, CA.
Ellen A SchurDepartment of Medicine, University of Washington, Seattle, WA.

Funding

PILOT STUDY--CLINICAL NUTRITION RESEARCHP30DK035816 · NIDDK · UNIVERSITY OF WASHINGTON · PI ANDREW N HOOFNAGLE · 1986 to 2026
$30.4M
FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN · 2019 to 2024
$29.8M
UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Rachel A Whitmer · 2021 to 2026
$25.2M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Anna Campbell Sullivan · 2021 to 2026
$24.0M
Temporal Trends, Novel Imaging and Molecular Characterization of Preclinical and Clinical Alzheimer's Disease in the Framingham CohortsR01AG054076 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DECARLI, CHARLES, SESHADRI, SUDHA · 2016 to 2020
$12.3M
Diabetes, Obesity and Metabolism Training ProgramT32DK007247 · NIDDK · UNIVERSITY OF WASHINGTON · PI GREGORY J MORTON, KRISTINA Marie UTZSCHNEIDER · 1986 to 2026
$10.0M
A twin study of obesity pathogenesis using fMRIR01DK089036 · NIDDK · UNIVERSITY OF WASHINGTON · PI SCHUR, ELLEN A · 2011 to 2022
$6.2M
Cognitively Healthy Nonagenarians in the Cross Cohort Collaboration (CCC)RF1AG059421 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SESHADRI, SUDHA · 2018 to 2018
$6.1M
Fostering patient-oriented research in cardiometabolic disease pathogenesis and preventionK24HL144917 · NHLBI · UNIVERSITY OF WASHINGTON · PI Ellen A Schur · 2019 to 2026
$965k
NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS K24 HL144917NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072972NIA NIH HHS R01 AG054076NIA NIH HHS RF1 AG059421NIDDK NIH HHS P30 DK035816NIDDK NIH HHS R01 DK089036NIDDK NIH HHS T32 DK007247
6 · The paper itself

Abstract

Background: Hypothalamic gliosis is mechanistically linked to obesity and insulin resistance in rodent models. We tested cross-sectional associations between radiologic measures of hypothalamic gliosis in humans and clinically relevant cardiovascular disease risk factors, as well as prevalent coronary heart disease. Methods: Using brain MRI images from Framingham Heart Study participants (N=867; mean age, 55 years; 55% females), T2 signal intensities were extracted bilaterally from the region of interest in the mediobasal hypothalamus (MBH) and reference regions in the amygdala (AMY) and putamen (PUT). T2 signal ratios were created in which greater relative T2 signal intensity suggests gliosis. The primary measure compared MBH to AMY (MBH/AMY); a positive control ratio (MBH/PUT) also assessed MBH whereas a negative control (PUT/AMY) did not. Outcomes were BMI, HDL-C, LDL-C, fasting triglycerides, and the presence of hypertension (n=449), diabetes mellitus (n=66), metabolic syndrome (n=254), or coronary heart disease (n=25). Dietary risk factors for gliosis were assessed in a prospective analysis. Statistical testing was performed using linear or logistic regression. Results: Greater MBH/AMY T2 signal ratios were associated with higher BMI (β = 21.5 [95% CI, 15.4-27.6]; Conclusions: Using a well-established study of cardiovascular disease development, we found evidence linking hypothalamic gliosis to multiple cardiovascular disease risk factors, even independent of adiposity. Our results highlight the need to consider neurologic mechanisms to understand and improve cardiometabolic health.

Identifiers

PMID39371136
PMCPMC11451704

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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.