Evidence map›Paper›PMID 27067128›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2016

Transcriptomics in Interferon-α-Treated Patients Identifies Inflammation-, Neuroplasticity- and Oxidative Stress-Related Signatures as Predictors and Correlates of Depression.

Nilay Hepgul, Annamaria Cattaneo, Kosh Agarwal, Sara Baraldi, Alessandra Borsini, Chiara Bufalino, Daniel M Forton, Valeria Mondelli, Naghmeh Nikkheslat, Nicola Lopizzo and 4 more

2 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 14% 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.

NCT06306209 unknown statusnot on this mapstarted 2021, after this paper: background citation

Inflammatory Control of Antidepressant Efficacy: a Pharmaco-epigenetic Approach

TypeobservationalSponsorIRCCS San RaffaeleRan2021 to 2025Enrolled80ConditionsMood Disorders, Major Depressive DisorderArmsTreatment as usual (TAU), i.e., pharmacotherapy plus clinical management
NCT06306248 unknown statusnot on this mapstarted 2023, after this paper: background citation

Adjusting Immune Activation to Reinstate Neural Plasticity and Promote the Beneficial Effect of Non-pharmacological Interventions

TypeobservationalSponsorIRCCS San RaffaeleRan2023 to 2025Enrolled60ConditionsMood Disorders, Major Depressive Disorder, Sleep DeprivationArmsTotal sleep deprivation
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Genetic Contributions of Inflammation to Depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017
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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

14 authors at 5 institutions in 2 countries.

Nilay HepgulDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Annamaria CattaneoDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Kosh AgarwalInstitute of Liver Studies, King's College Hospital, London, UK.
Sara BaraldiDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Alessandra BorsiniDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Chiara BufalinoDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Daniel M FortonDepartment of Gastroenterology and Hepatology, St George's Hospital, London, UK.
Valeria MondelliDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Naghmeh NikkheslatDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Nicola LopizzoIRCCS Fatebenefratelli, University of Brescia, Brescia, Italy.
Marco A RivaDepartment of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy.ORCID 0000-0002-1699-5060
Alice RussellDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Matthew HotopfDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Carmine M ParianteDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
King's College London · GBKing's College Hospital · GBSt George's Hospital · GBUniversity of Brescia · ITUniversity of Milan · IT

Funding

Medical Research Council G108/603Medical Research Council MR/J002739/1Medical Research Council MR/L014815/1Medical Research Council MR/N029488/1
6 · The paper itself

Abstract

Owing to the unique opportunity to assess individuals before and after they develop depression within a short timeframe, interferon-α (IFN-α) treatment for chronic hepatitis C virus (HCV) infection is an ideal model to identify molecular mechanisms relevant to major depression, especially in the context of enhanced inflammation. Fifty-eight patients were assessed prospectively, at baseline and monthly over 24 weeks of IFN-α treatment. New-onset cases of depression were determined using the Mini International Neuropsychiatric Interview (MINI). Whole-blood transcriptomic analyses were conducted to investigate the following: (1) baseline gene expression differences associated with future development of IFN-α-induced depression, before IFN-α, and (2) longitudinal gene expression changes from baseline to weeks 4 or 24 of IFN-α treatment, separately in those who did and did not develop depression. Transcriptomics data were analyzed using Partek Genomics Suite (1.4-fold, FDR adjusted p⩽0.05) and Ingenuity Pathway Analysis Software. Twenty patients (34%) developed IFN-α-induced depression. At baseline, 73 genes were differentially expressed in patients who later developed depression compared with those who did not. After 4 weeks of IFN-α treatment, 592 genes were modulated in the whole sample, representing primarily IFN-α-responsive genes. Substantially more genes were modulated only in patients who developed depression (n=506, compared with n=70 in patients who did not), with enrichment in inflammation-, neuroplasticity- and oxidative stress-related pathways. A similar picture was observed at week 24. Our data indicate that patients who develop IFN-α-induced depression have an increased biological sensitivity to IFN-α, as shown by larger gene expression changes, and specific signatures both as predictors and as correlates.

Indexed as

DepressionAdultAnalysis of VarianceAntiviral AgentsCohort StudiesComputational BiologyFemaleGene ExpressionGene Expression ProfilingHepatitis CHumansInterferon-alphaKeratinsMaleMiddle AgedOxidative StressAntiviral AgentsInterferon-alphaKeratins

Identifiers

PMID27067128
PMCPMC4983179
OpenAlexW2338312264

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.