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Global Translational Medicine                                           Deep learning by NMR-biochemical



            (NAAG)/Cr+PCr  relative  to  creatine  neurometabolites  in   6.17. CNS system with rheumatic autoimmune
            complicated and uncomplicated traumatic brain injury   diseases
            (TBI) patients. The NAA peaks and NAA values were lower   Proton MRS measures neuronal loss or CNS damage with
            in  complicated  and  uncomplicated  TBI  groups  compared   autoimmune rheumatic diseases. An MRS study reviewed
            to the control group. Neurometabolite alterations indicated   vasculitis, Behcet’s disease, Sjogren’s syndrome, psoriasis,
            the onset of both complicated and uncomplicated TBI with   rheumatoid arthritis, juvenile idiopathic arthritis,
            injury severity in mild TBI [117] . Furthermore, MRS is not a   systemic sclerosis, and systemic lupus erythematosus from
            biomarker option in the management of TBI.         November 2003 to December 2019 [121] . Low NAA/Cr and
            Mild TBI is a risk factor for dementia. The in vivo MRS   high Cho/Cr ratios in different regions of the above brain
            detected low NAA, high glutamate, low choline, and   diseases showed an association with various CNS disease
            variable Cr in frontal lobe brain white matter as membrane   inflammatory activities and comorbidities with diseases.
            high turnover  changes after a negative routine CCT/  The neurometabolite abnormalities with non-overt CNS
            MRI  scan  of  frontal  lobe  acute  or  subacute  mild  TBI   manifestations suggested the association of abnormal
            within 3 months [118] . MRS correlated post-traumatic brain   vascular reactivity and systemic inflammation with
            metabolism  with  cognitive  dysfunction  to  detect  mTBI   subclinical CNS manifestations.
            patients at risk of post-traumatic neurodegeneration early.
            However, the author suggests follow-up studies are needed   6.18. Diagnosis of mesial temporal lobe sclerosis
            to correlate MRS with cognitive outcomes using different   Recently, MRS metabolic features of the brain were reported
            modified MRI sequences, high-field strength, accurate   to classify mesial lobe  epilepsy,  hippocampal sclerosis,
            voxel placements, voxel sizes, and reasonable Cramér-Rao   mesial temporal sclerosis (MTS), and mesial and temporal
            lower-bounds cutoffs.                              seizures [122] . A decreased NAA, NAA/(Cho+Cr) ratio, and
                                                               NAA/Cr ratio in the ipsilateral hippocampus and reduced
            6.15. Evaluation of prognostic consciousness       NAA levels in extra-hippocampal regions are suggested as
            recovery in wakefulness syndrome individuals       pre-surgical localization of epileptogenic focus.
            Multi-voxel MRS of the frontal cortex, temporal cortex,
            brain stem, fornix, internal capsule, thalamus, globus   6.19. Theranosis of mitochondrial diseases
            pallidus, and putamen regions in patients with vegetative   Serial MRS visualized the response of weekly intravenous
            state/unresponsive wakefulness syndrome (VS/UWS)   500  mg/kg  L-arginine  therapy  in  MELAS, showing
            showed low NAA/Cr ratio in the temporal cortex, capsula   improvement clinically for the treatment of mitochondrial
            interna, and thalamus, while higher NAA/Cr ratio in these   encephalopathy with lactic acidosis and stroke-like events.
            structures is indicative of recovery of consciousness [119] .   L-arginine therapy normalizes brain lactate and NAA/
            The low NAA/Cr and NAA/(NAA+Ch+Cr) ratios in mid‑  Cho ratio as a radiologic and clinical improvement [123] . The
            brain regions were associated with hypoxia in patients. The   consensus suggests that the management of mitochondrial
            MRS accurately predicted recovery of consciousness from   stroke-like episodes may be achievable through the
            hypoxic brain damage in unconscious VS/UWS patients   utilization of MRS [124] . Mitochondrial myopathies in the
            with TBI to the level of emergence of a minimal conscious   brain, muscle, and cardiac tissue were indicated by elevated
            state (EMCS).                                      lactate levels detected by MRS [125] .
            6.16. Substance use disorders                      7. Future directions and perspectives
            1 H-MRS is used to evaluate the effect of narcotic   In the future, clinical MRSI will be multimodal, robust,
            substances  such  as  methamphetamine,  alcohol,   fast, equipped with new supervised segmentation,
            3,4-methylenedioxymethamphetamine (MDMA), nicotine,   component-specific  registration,  and  disease-specific
            marijuana, cocaine, opiate, and opioid in after-use disorders.   spatio-spectral-encoded  trained  pixel  data  sets
            A decrease in NAA and Cho levels in brain regions was a   (spectromics) by super-resolution DL toward customized
            common feature  in defining  the substance-specific effect   precision medicine [126-130] . A new perception of 3D-MRSI
            of the above-said substance use. The author recommends   clinical value will certainly depend on new computer
            more MRS clinical trials to monitor novel substance abuse   data generation and feature extraction using integrated
            treatment. The  H-MRS showed low NAA and low Cho   diagnosis with high acceptance in medical practice [131,132] .
                         1
            levels in the brain indicating altered neurometabolites in   Hybrid  approaches  of  HPLC-MR,  biochemical-MR,  and
            addicts on MDMA, cocaine, alcohol, methamphetamine,   digital histochemical-MR  correlation may  contribute
            opiates/opioids, nicotine, and marijuana [120] .   better. It seems that quantification of metabolite


            Volume 2 Issue 3 (2023)                         20                        https://doi.org/10.36922/gtm.337
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