Evidence map›Paper›PMID 34954335›Full record

ArticleJournal of affective disorders2022

Brain-derived neurotrophic factor and mood in perimenopausal depression.

Jessica A Harder, Raina N Fichorova, Akanksha Srivastava, Aleta Wiley, Katherine E Burdick, Joseph J Locascio, Hadine Joffe

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 13 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

7 authors at 1 institution in 1 country.

Jessica A HarderDepartment of Psychiatry, Harvard Medical School, Brigham and Women's Hospital, Boston, MA 02115, United States.
Raina N FichorovaDepartment of Obstetrics and Gynecology, Harvard Medical School, Brigham and Women's Hospital, United States.
Akanksha SrivastavaDepartment of Psychiatry, Harvard Medical School, Brigham and Women's Hospital, Boston, MA 02115, United States.
Aleta WileyDepartment of Psychiatry, Harvard Medical School, Brigham and Women's Hospital, Boston, MA 02115, United States.
Katherine E BurdickDepartment of Psychiatry, Harvard Medical School, Brigham and Women's Hospital, Boston, MA 02115, United States.
Joseph J LocascioDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, United States.
Hadine JoffeDepartment of Psychiatry, Harvard Medical School, Brigham and Women's Hospital, Boston, MA 02115, United States; Connors Center for Women's Health and Gender Biology, Harvard Medical School, Brigham and Women's Hospital, United States. Electronic address: hjoffe@bwh.harvard.edu.
Massachusetts General Hospital · US

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Using allopregnanolone to probe behavioral and neurobiological mechanisms that underlie depression in women across perimenopausal stageR01MH128617 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI Katherine Elizabeth Burdick, HADINE JOFFE · 2022 to 2026
$3.7M
Defining the Mechanisms of Menopause-Associated Sleep and Mood DisturbancesR01MH082922 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI JOFFE, HADINE · 2009 to 2013
$2.0M
NCATS NIH HHS UL1 TR002541NIMH NIH HHS R01 MH082922NIMH NIH HHS R01 MH128617
6 · The paper itself

Abstract

backgroundPrevious work implicates high pro-inflammatory biomarkers in mood disturbance and low brain-derived neurotrophic factor (BDNF) levels in major depression. However, in hormonally-sensitive premenstrual dysphoric disorder (PMDD), BDNF levels are higher when mood is worse. Perimenopausal depression has not been studied to date. We evaluated whether BDNF and inflammatory cytokines predict mood symptoms across the menstrual cycle in hormonally-sensitive perimenopausal depression symptoms.

methodsData from 49 time points derived from mid-to-late follicular phase [M/L-FP] and peri‑menstrual assessments of 14 perimenopausal women ages 38-52 with ovulatory menstrual cycles 24-35 days long across 1-2 cycles for mood symptoms, BDNF levels, cytokines, gonadal steroids. Depression was assessed with Montgomery-Åsberg Depression Rating Scale (MADRS), Beck Depression Inventory (BDI); irritability with Kellner Symptom Questionnaire Anger-Hostility subscale (SQ); overall psychological distress with Profile of Mood States (POMS). Mixed models were run on dependent measures of MADRS (primary endpoint) and other mood outcomes (BDI, POMS, SQ) with independent variables of interest (each biomarker, cycle phase), controlling for cycle number and participant.

resultsAfter FDR adjustment, BDNF levels showed consistent significant positive relationships to MADRS (β=0.00053; p = 0.0028), POMS (β=0.00153; p = 0.0394), SQ (β=0.00053; p = 0.0067), and BDI (β=0.00039; p = 0.0231). Cycle phase did not affect this relationship. No other biomarker consistently predicted affective symptom severity. LIMITATIONS: Small sample size and large number of comparisons.

conclusionIn women with perimenopausal depression symptoms, BDNF is elevated in association with more severe mood symptomatology, resembling the pattern in hormonally-sensitive PMDD and suggesting a hormonally-sensitive mood disorder biomarker profile distinct from that of major depression.

Indexed as

AffectBrain-Derived Neurotrophic FactorPremenstrual Dysphoric DisorderAdultDepressionFemaleFollicular PhaseHumansMiddle AgedPerimenopauseBDNF protein, humanBrain-Derived Neurotrophic FactorBrain-derived neurotrophic factor (BDNF)DepressionHormonesMenstrual cycleMoodPerimenopause

Identifiers

PMID34954335
PMCPMC8935344
OpenAlexW4200091479

What OpenQuestion holds

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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 OpenQuestion graph.