Evidence map›Paper›PMID 41152510›Full record

ReviewJournal of molecular neuroscience : MN2025

Unconventional Non-rodent Models in Neurological Research: Exploring New Paths to Translational Insights.

Arti Devi, Chandra Shekhar Saini, Aditya Shiven, Ashwani Kumar, Anisha Sharma, Naman Joshi, Sajpreet Kour, Zaved Ahmed Khan, Hitesh Dewangan, Vagish Dwibedi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular neuroscience : MN, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Arti DeviUniversity Institute of Biotechnology, Chandigarh University, Mohali, 140413, India.
Chandra Shekhar SainiUniversity Institute of Biotechnology, Chandigarh University, Mohali, 140413, India.
Aditya ShivenUniversity Institute of Pharmaceutical Sciences, Chandigarh University, Mohali, 140413, India.
Ashwani KumarUniversity Institute of Biotechnology, Chandigarh University, Mohali, 140413, India.
Anisha SharmaUniversity Institute of Biotechnology, Chandigarh University, Mohali, 140413, India.
Naman JoshiUniversity Institute of Biotechnology, Chandigarh University, Mohali, 140413, India.
Sajpreet KourUniversity Institute of Biotechnology, Chandigarh University, Mohali, 140413, India.
Zaved Ahmed KhanDean Academics, Malla Reddy Vishwavidyapeeth (Deemed to Be University), Suraram, Hyderabad, Telangana, 500055, India.
Hitesh DewanganUniversity Institute of Pharmaceutical Sciences, Chandigarh University, Mohali, 140413, India. hiteshdewangan.hd@gmail.com.
Vagish DwibediUniversity Institute of Biotechnology, Chandigarh University, Mohali, 140413, India. vagish.lcc@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurological disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), Schizophrenia (SCZ), and epilepsy pose a significant global health challenge, particularly among the ageing population. With Alzheimer's cases projected to double in the next 30 years, the lack of effective treatments presents a critical concern, leading to substantial social and economic burdens. While rodent models have been instrumental in elucidating disease mechanisms and identifying therapeutic targets, their limited translational success necessitates exploring alternative model systems. This review highlights the increasing integration of non-rodent models, including invertebrates (Drosophila melanogaster and Caenorhabditis elegans), lower vertebrates (Danio rerio), and higher-order mammals (non-human primates), alongside emerging approaches such as Octopus models, 2D and 3D cell culture systems, computational models, and in silico methodologies. These alternative models provide unique advantages in studying neural development, function, and pathology, offering improved translational relevance. By leveraging the complementary strengths of these systems, researchers can refine therapeutic strategies and advance our understanding of complex neurological disorders.

Indexed as

Disease Models, AnimalNervous System DiseasesTranslational Research, BiomedicalAnimalsCaenorhabditis elegansHumansZebrafishAlzheimer’s disorderC. elegansCell cultureDrosophilaHuntington diseaseNeurodegenerative disordersNon-rodent modelsParkinson’s diseaseSchizophreniaZebrafish

Identifiers

PMID41152510

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.