Evidence map›Paper›PMID 37119343›Full record

ArticleInternational journal of bipolar disorders2023

Methylomic biomarkers of lithium response in bipolar disorder: a clinical utility study.

C Marie-Claire, C Courtin, F Bellivier, S Gard, M Leboyer, J Scott, B Etain

Open access · goldAbstract read
In one paragraph

Article in International journal of bipolar disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
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 6 institutions in 2 countries.

C Marie-ClaireInserm UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Université Paris Cité, 4 Avenue de l'observatoire, 75006, Paris, France. cynthia.marie-claire@u-paris.fr.
C CourtinInserm UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Université Paris Cité, 4 Avenue de l'observatoire, 75006, Paris, France.
F BellivierInserm UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Université Paris Cité, 4 Avenue de l'observatoire, 75006, Paris, France.
S GardFondation Fondamental, 94010, Créteil, France.
M LeboyerFondation Fondamental, 94010, Créteil, France.
J ScottInstitute of Neuroscience, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK.
B EtainInserm UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Université Paris Cité, 4 Avenue de l'observatoire, 75006, Paris, France.
Sorbonne Paris Cité · FRCentre Hospitalier Charles Perrens · FRInserm · FRInstitut Mondor de Recherche Biomédicale · FRNewcastle University · GBUniversité Paris Cité · FR

Funding

Inserm Tranfert CoPoc 2021Milken Family Foundation Bipolar Disorder Therapeutic Research grant 2021Université de Paris IDEX Prematuration 2021
6 · The paper itself

Abstract

backgroundResponse to lithium (Li) is highly variable in bipolar disorders (BD). Despite decades of research, no clinical predictor(s) of response to Li prophylaxis have been consistently identified. Recently, we developed epigenetic Methylation Specific High-Resolution Melting (MS-HRM) assays able to discriminate good responders (GR) from non-responders (NR) to Li in individuals with BD type 1 (BD-I). This study examined whether a combination of clinical and epigenetic markers can distinguish NR from other types of Li responders.

methodsWe recorded clinical variables that are potentially associated with Li response in 64 individuals with BD-I. MS-HRM assays were performed on DNA isolated from peripheral blood. We used backward stepwise logistic regression analyses, followed by receiver operating characteristic (ROC) curve analysis to estimate the performance of the clinical variables, alone then in combination with the epigenetic biomarkers, to identify GR and partial responders (PaR) vs NR.

resultsPolarity at onset, psychotic symptoms at onset and family history of BD classified correctly 70% of individuals according to their Li response (PaR + GR = 86%; NR = 35%). When combined with the epigenetic biomarkers, these three clinical variables plus alcohol misuse (and one DMR: Differentially Methylated Region) correctly classified 86% of individuals, improving the prediction of PaR + GR (93%) and of NR (70%). The ROC analysis demonstrated an improvement in the area under the curve from 0.75 (clinical variables alone) to 0.87 (combination of clinical and epigenetic markers).

conclusionsCombining clinical predictors and DNA methylation markers of Li response may have greater utility in clinical practice than relying on clinical characteristics alone.

Indexed as

BiomarkerBipolar disordersDNA methylationLithiumMS-HRMTransferability

Identifiers

PMID37119343
PMCPMC10148930
OpenAlexW4367368296

What OpenQuestion 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 OpenQuestion graph.