Evidence map›Paper›PMID 37801210›Full record

ArticleJournal of molecular neuroscience : MN2023

Whole-Blood Metabolomics of a Rat Model of Repetitive Concussion.

Ahmad Raza Khan, Samiya Zehra, Atul Kumar Baranwal, Dinesh Kumar, Raisuddin Ali, Saleem Javed, Kamlesh Bhaisora

Abstract read
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In one paragraph

Article in Journal of molecular neuroscience : MN, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 70% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 4 institutions in 2 countries.

Ahmad Raza KhanDepartment of Advanced Spectroscopy and Imaging, Centre of Biomedical Research (CBMR), SGPGI Campus, Raebareli Road, Lucknow, India. 110ahmadkhan@gmail.com.
Samiya ZehraDepartment of Advanced Spectroscopy and Imaging, Centre of Biomedical Research (CBMR), SGPGI Campus, Raebareli Road, Lucknow, India.
Atul Kumar BaranwalExperimental Animal Facility, SGPGIMS, Raebareli Road, Lucknow, India.
Dinesh KumarDepartment of Advanced Spectroscopy and Imaging, Centre of Biomedical Research (CBMR), SGPGI Campus, Raebareli Road, Lucknow, India.
Raisuddin AliDepartment of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia.
Saleem JavedDepartment of Biochemistry, Aligarh Muslim University (AMU), Aligarh, India.
Kamlesh BhaisoraDepartment of Neurosurgery, SGPGIMS, Raebareli Road, Lucknow, India.
Centre of Biomedical Research · INSanjay Gandhi Post Graduate Institute of Medical Sciences · INAligarh Muslim University · INKing Saud University · SA

Funding

King Saud University RSPD2023R1097
6 · The paper itself

Abstract

Mild traumatic brain injury (mTBI) and repetitive mTBI (RmTBI) are silent epidemics, and so far, there is no objective diagnosis. The severity of the injury is solely based on the Glasgow Coma Score (GCS) scale. Most patients suffer from one or more behavioral abnormalities, such as headache, amnesia, cognitive decline, disturbed sleep pattern, anxiety, depression, and vision abnormalities. Additionally, most neuroimaging modalities are insensitive to capture structural and functional alterations in the brain, leading to inefficient patient management. Metabolomics is one of the established omics technologies to identify metabolic alterations, mostly in biofluids. NMR-based metabolomics provides quantitative metabolic information with non-destructive and minimal sample preparation. We employed whole-blood NMR analysis to identify metabolic markers using a high-field NMR spectrometer (800 MHz). Our approach involves chemical-free sample pretreatment and minimal sample preparation to obtain a robust whole-blood metabolic profile from a rat model of concussion. A single head injury was given to the mTBI group, and three head injuries to the RmTBI group. We found significant alterations in blood metabolites in both mTBI and RmTBI groups compared with the control, such as alanine, branched amino acid (BAA), adenosine diphosphate/adenosine try phosphate (ADP/ATP), creatine, glucose, pyruvate, and glycerphosphocholine (GPC). Choline was significantly altered only in the mTBI group and formate in the RmTBI group compared with the control. These metabolites corroborate previous findings in clinical and preclinical cohorts. Comprehensive whole-blood metabolomics can provide a robust metabolic marker for more accurate diagnosis and treatment intervention for a disease population.

Indexed as

Brain ConcussionAnimalsAnxietyBrainHumansMagnetic Resonance ImagingNeuroimagingRatsBAABloodConcussionsGlycerophosphocholineMetabolomicsNMRRepetitive mild TBI

Identifiers

PMID37801210
OpenAlexW4387392757

What OpenQuestion holds

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Registered trials

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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.