Evidence map›Paper›PMID 37974227›Full record

ReviewEuropean journal of medical research2023

The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery.

Wireko Andrew Awuah, Arjun Ahluwalia, Shankaneel Ghosh, Sakshi Roy, Joecelyn Kirani Tan, Favour Tope Adebusoye, Tomas Ferreira, Hareesha Rishab Bharadwaj, Vallabh Shet, Mrinmoy Kundu and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.8field-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.

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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Article
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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

13 authors at 9 institutions in 5 countries.

Wireko Andrew AwuahFaculty of Medicine, Sumy State University, Zamonstanksya 7, Sumy, 40007, Ukraine.
Arjun AhluwaliaSchool of Medicine, Queen's University Belfast, Belfast, UK.
Shankaneel GhoshInstitute of Medical Sciences and SUM Hospital, Bhubaneswar, India.
Sakshi RoySchool of Medicine, Queen's University Belfast, Belfast, UK.
Joecelyn Kirani TanFaculty of Medicine, University of St Andrews, St Andrews, Scotland, UK.
Favour Tope AdebusoyeFaculty of Medicine, Sumy State University, Zamonstanksya 7, Sumy, 40007, Ukraine. Favouradebusoye@gmail.com.
Tomas FerreiraDepartment of Clinical Neurosciences, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Hareesha Rishab BharadwajFaculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Vallabh ShetFaculty of Medicine, Bangalore Medical College and Research Institute, Bangalore, Karnataka, India.
Mrinmoy KunduInstitute of Medical Sciences and SUM Hospital, Bhubaneswar, India.
Amanda Leong Weng YeeFaculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Toufik Abdul-RahmanFaculty of Medicine, Sumy State University, Zamonstanksya 7, Sumy, 40007, Ukraine.
Oday AtallahDepartment of Neurosurgery, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625, Hannover, Germany.
Sumy State University · UAInstitute of Medical Sciences and Sum Hospital · INQueen's University Belfast · GBBangalore Medical College and Research Institute · INMedizinische Hochschule Hannover · DEUniversity of Cambridge · GBUniversity of Malaya · MYUniversity of Manchester · GBUniversity of St Andrews · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell ribonucleic acid sequencing (scRNA-seq) has emerged as a transformative technology in neurological and neurosurgical research, revolutionising our comprehension of complex neurological disorders. In brain tumours, scRNA-seq has provided valuable insights into cancer heterogeneity, the tumour microenvironment, treatment resistance, and invasion patterns. It has also elucidated the brain tri-lineage cancer hierarchy and addressed limitations of current models. Neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis have been molecularly subtyped, dysregulated pathways have been identified, and potential therapeutic targets have been revealed using scRNA-seq. In epilepsy, scRNA-seq has explored the cellular and molecular heterogeneity underlying the condition, uncovering unique glial subpopulations and dysregulation of the immune system. ScRNA-seq has characterised distinct cellular constituents and responses to spinal cord injury in spinal cord diseases, as well as provided molecular signatures of various cell types and identified interactions involved in vascular remodelling. Furthermore, scRNA-seq has shed light on the molecular complexities of cerebrovascular diseases, such as stroke, providing insights into specific genes, cell-specific expression patterns, and potential therapeutic interventions. This review highlights the potential of scRNA-seq in guiding precision medicine approaches, identifying clinical biomarkers, and facilitating therapeutic discovery. However, challenges related to data analysis, standardisation, sample acquisition, scalability, and cost-effectiveness need to be addressed. Despite these challenges, scRNA-seq has the potential to transform clinical practice in neurological and neurosurgical research by providing personalised insights and improving patient outcomes.

Indexed as

Brain NeoplasmsNeurologyNeurosurgeryHumansNeurosurgical ProceduresSequence Analysis, RNATumor MicroenvironmentBrain tumoursCerebrovascular diseasesEpilepsy and seizure disordersNeurodegenerative disordersNeurologyNeurosurgerySingle-cell RNA sequencingSpinal cord diseases

Identifiers

PMID37974227
PMCPMC10652629
OpenAlexW4388725068

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.