Evidence map›Paper›PMID 36310155›Full record

ArticleTranslational psychiatry2022

Diagnostic model development for schizophrenia based on peripheral blood mononuclear cell subtype-specific expression of metabolic markers.

Jihan K Zaki, Santiago G Lago, Nitin Rustogi, Shiral S Gangadin, Jiri Benacek, Geertje F van Rees, Frieder Haenisch, Jantine A Broek, Paula Suarez-Pinilla, Tillmann Ruland and 12 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Peripheral immune-cell bioenergetics in acute and stable schizophrenia.European archives of psychiatry and clinical neuroscience · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Psychoneuroimmunology of Mood Disorders.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. 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

22 authors at 9 institutions in 6 countries.

Jihan K ZakiDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Santiago G LagoDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Nitin RustogiDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.ORCID 0000-0002-4381-1271
Shiral S GangadinDepartment of Biomedical Sciences of Cells & Systems, University Medical Center Groningen (UMCG), University of Groningen, Groningen, The Netherlands.
Jiri BenacekDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.ORCID 0000-0002-7254-3261
Geertje F van ReesDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Frieder HaenischDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.ORCID 0000-0001-7961-4467
Jantine A BroekDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Paula Suarez-PinillaDepartment of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain.
Tillmann RulandUniversity Hospital Münster, Münster, Germany.
Bonnie AuyeungAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1741-0949
Olya MikovaFoundation Biological Psychiatry, Sofia, Bulgaria.
Nikolett KabacsCambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom.
Volker AroltUniversity Hospital Münster, Münster, Germany.
Simon Baron-CohenAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9217-2544
Benedicto Crespo-FacorroDepartment of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain.
Hemmo A DrexhageDepartment of Immunology, Erasmus Medical Center, Rotterdam, The Netherlands.ORCID 0000-0001-8513-5323
Lot D de WitteDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-7235-9958
René S KahnDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-5909-8004
Iris E SommerDepartment of Biomedical Sciences of Cells & Systems, University Medical Center Groningen (UMCG), University of Groningen, Groningen, The Netherlands.
Sabine BahnDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK. sb209@cam.ac.uk.ORCID 0000-0003-4690-6302
Jakub TomasikDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK. jt455@cam.ac.uk.ORCID 0000-0002-2127-4487
University of Cambridge · GBUniversidad de Cantabria · ESUniversity Hospital Münster · DEUniversity Medical Center Groningen · NLBulgarian Biodiversity Foundation · BGCambridgeshire and Peterborough NHS Foundation Trust · GBErasmus MC · NLIcahn School of Medicine at Mount Sinai · USUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A significant proportion of the personal and economic burden of schizophrenia can be attributed to the late diagnosis or misdiagnosis of the disorder. A novel, objective diagnostic approaches could facilitate the early detection and treatment of schizophrenia and improve patient outcomes. In the present study, we aimed to identify robust schizophrenia-specific blood biomarkers, with the goal of developing an accurate diagnostic model. The levels of selected serum and peripheral blood mononuclear cell (PBMC) markers relevant to metabolic and immune function were measured in healthy controls (n = 26) and recent-onset schizophrenia patients (n = 36) using multiplexed immunoassays and flow cytometry. Analysis of covariance revealed significant upregulation of insulin receptor (IR) and fatty acid translocase (CD36) levels in T helper cells (F = 10.75, P = 0.002, Q = 0.024 and F = 21.58, P = 2.8 × 10

Indexed as

Autism Spectrum DisorderMajor Depressive DisorderSchizophreniaBiomarkersGlucose Transporter Type 1HumansLeukocytes, MononuclearBiomarkersGlucose Transporter Type 1

Identifiers

PMID36310155
PMCPMC9618570
OpenAlexW4307953435

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.