Evidence map›Paper›PMID 39998910›Full record

ReviewPharmacogenomics2024

Pharmacogenomics and response to lithium in bipolar disorder.

Pasquale Paribello, Ulker Isayeva, Claudia Pisanu, Alessio Squassina, Mirko Manchia

Abstract readReview
In one paragraph

Review in Pharmacogenomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. At 75 Years, Is Lithium the Gold Standard in Bipolar Disorder?Pharmaceuticals (Basel, Switzerland) · 2025
    Review
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

5 authors.

Pasquale ParibelloSection of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Ulker IsayevaSection of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Claudia PisanuDepartment of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
Alessio SquassinaDepartment of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
Mirko ManchiaSection of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.ORCID 0000-0003-4175-6413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe present review explores the existing evidence on pharmacogenomic tests for prediction of lithium response in the treatment of bipolar disorder. We focused our research article on reports describing findings from genome-wide association studies, polygenic risk scores, and gene expression analyses associated with lithium response.

methodsWe conducted a non-systematic review of studies from PubMed/Medline by using terms such as "pharmacogenomics," "GWAS," "gene expression," and "lithium response." Inclusion criteria focused on original research involving human subjects and assessing lithium response outcomes as well as in vitro studies. An extensive pearl-growing strategy was employed to further enlarge the scope of the piece by capitalizing on the knowledge of study authors on the subject.

resultsThe observed results, albeit promising, remain preliminary in terms of clinical relevance. Machine learning combining genetic and clinical data appears associated with moderate success in predicting lithium responsiveness. Gene expression studies and genome-wide association studies have helped identify possible targets of lithium and have the potential to support target-specific drug research.

conclusionsPharmacogenomics may support further discoveries in precision medicine further enlarging our understanding of the underlying mechanisms of lithium for its efficacy. However, clinical applications currently appear out of reach in the near future.

Indexed as

Antimanic AgentsBipolar DisorderLithiumLithium CompoundsPharmacogeneticsGenome-Wide Association StudyHumansPrecision MedicineAntimanic AgentsLithiumLithium CompoundsGWASGWESLithium responsemachine learningpharmacogenomicspolygenic risk scoreprecision psychiatryprediction

Identifiers

PMID39998910
PMCPMC11901374

What OpenQuestion holds

Textmetadata
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.