Critical Neurotransmitter Research Articles

The H4R antagonist, JNJ-7777120 treatments ameliorate mild traumatic brain injury by reducing oxidative damage, inflammatory and apoptotic responses through blockage of the ERK1/2/NF-κB pathway in a rat model.

Growing evidence reveals that microglia activation and neuroinflammatory responses trigger cell loss in the brain. Histamine is a critical neurotransmitter and promotes inflammatory responses; thus, the histaminergic system is a potential target for treating neurodegenerative processes. JNJ-7777120, a histamine H4 receptor (H4R) antagonist, has been shown to alleviate inflammation, brain damage, and behavioral deficits effectively, but there is no report on its role in brain trauma. Herein, we investigated the neuroprotective effects of JNJ-7777120 (shortly JNJ) in a mild traumatic brain injury (mTBI). mTBI setup was performed using a weight-drop model in adult male Sprague-Dawley rats. JNJ (1 mg/kg, twice/day for 7 days) was intraperitoneally administered following mTBI. Modified neurological severity score and beam-walking test used to assess motor, sensory, reflex, and balance functions (post-TBI days-1/3/7) showed that JNJ had significantly improved these functions. HE-staining revealed reduced neurodegenerative cells after JNJ-treatments compared to vehicle (2.85 % DMSO) treated group. JNJ also decreased the injury-induced apoptosis (Bax/Bcl-2, cleaved-Cas-3, cleaved-PARP1), oxidative (4HNE, MDA), and inflammatory (IBA1, TNF-α, IL-1β, IL-6, and IL-10) responses. Furthermore, blocking the activation of the ERK1/2/NF-κB pathway was determined to be involved in its therapeutic mechanism. The network pharmacology analyses for JNJ-7777120 and TBI confirmed the importance of targeting neurotransmitter receptor activity, signaling receptor activity, and kinase activation. Our results provide the first proof of the efficacy of an H4R antagonist in a mild TBI rat model and suggest that H4R targeting by JNJ-treatment might be a promising therapeutic approach to clinically halt the progression of brain injury.

Self-assembly Pt hollow nanospheres for highly selective and ultrasensitive detection of dopamine

Abnormal concentration of dopamine, one critical neurotransmitter in central nervous system, causes several neurological diseases associated with behavioral responses and brain functions in human beings. Highly sensitive detection of dopamine is of great significance yet challengeable. In this work, Pt hollow nanospheres (Pt HNSs) with a uniform diameter of 30 nm were successfully synthesized in water by self-assembly method under room temperature. The fabricated Pt hollow/Nafion nanospheres modified glassy carbon electrode (Pt HNSS/Nafion/GCE) exhibited superior electrocatalytic performance, with peak currents 2.24 and 4.54 times higher than those of Nafion-modified glassy carbon electrode (Nafion/GCE) and bare glassy carbon electrode (GCE), respectively. Theoretical calculations indicate that dopamine has an adsorption energy of −3.18 eV on the Pt(111) surface, with an electron transfer of + 1.84 |e|, aligning with the 2-electron transfer mechanism. Furthermore, the low energy barrier observed during dopamine oxidation process suggests that the Pt(111) surface is highly favorable for dopamine oxidation. Meanwhile, Pt HNSS/Nafion/GCE electrochemical sensor exhibits highly sensitive and selective response in determination of dopamine ranging from 0.01 to 250 μM with low detection limits of 0.804 nM (S/N = 3). Moreover, the electrochemical sensor shows reliable signals in real test with great anti-interference and stability during the experiments, making it a promising candidate for applications in dopamine sensing.

EXTH-46. TESTING PRECISION GENOMICS-GUIDED THERAPY IN A MODEL OF ANAPLASTIC PLEOMORPHIC XANTHOASTROCYTOMA: DUAL INHIBITION OF CDK4/6 AND MEK

Abstract Typical survival for pediatric high-grade gliomas remains less than 18 months despite recent improved understanding of the molecular drivers of these tumors. Hyperactivating MAPK and CDK4/6 pathway mutations are common and targetable alterations implicated in tumorigenesis and malignant transformation in pediatric glioma. We have established and characterized a novel patient-derived xenograft (PDX) model, RHT128, from a pediatric patient diagnosed with the high-grade glioma anaplastic pleomorphic xanthoastrocytoma (APXA). The molecular landscape of PDX RHT128 exhibits molecular fidelity to the patient’s tumor. Clinical precision genomics analysis of the tumor revealed a novel BRAF chromosomal rearrangement and CDKN2A/B deletion. Based on this molecular signature, the patient was treated with MEK inhibitor trametinib as a monotherapy and, following progression of disease, with CDK4/6 inhibitor ribociclib. However, the tumor continued to progress. In this study our objective is to simultaneously target the CDK4/6 and MAPK pathways in RHT128 and determine to what extent this combination therapy minimizes emergence of therapeutic resistance. Single-agent efficacy assessments in a subcutaneous RHT128 model, showing significant dose-dependent reduction in tumor volume after treatment with abemaciclib (p<0.05), palbociclib (p<0.01), and the blood-brain barrier-permeable MEK inhibitor mirdametinib (p<0.0001). Analysis of the global kinome in CDK4/6 inhibitor-treated PDX tissues compared to vehicle treatment using multiplexed-inhibitor bead chromatography–mass spectrometry demonstrated effective inhibition of CDK4/6. Moreover, this analysis revealed dose-dependent alterations in the MAPK and PI3K pathways and modulation of critical neurotransmitter pathways in treated tissues. Future studies will explore efficacy of these MEK and CDK4/6 inhibitors in combination and in our BRAF wild-type and BRAF V600E variant APXA models to gain further mechanistic insights. The pervasiveness of alterations to the MAPK and CDK4/6 pathways in pediatric gliomas make this approach promising for further study in a broader range of these deadly tumors.

A novel approach to tyrosinase-based biosensors: Electrode reactions and biological measurement

This study introduces a novel tyrosinase-based biosensor designed to simultaneously detect tyrosinase, tyrosine, L-DOPA, and L-DOPA quinone. The biosensor, designated as GCE/GNP/Cys/Chit/Tyrase, was developed by immobilizing tyrosinase on a modified glassy carbon electrode (GCE) that incorporates electrodeposited gold nanoparticles, cysteine, and chitosan. The morphology of the biosensor was characterized using scanning electron microscopy (SEM). The electrochemical behaviors of the biosensor were explored in response to the target analytes. Key analytical characteristics were assessed, including linear range, sensitivity, selectivity, limits of detection and quantification, long-term stability, repeatability, reproducibility, electrochemically active surface area, and charge transfer behavior. The biosensor demonstrated a linear response range of 1–120 μM, with an impressive sensitivity of 200.4 mA.Lmol−1cm−2 and a detection limit of 27 μM. This study provides a comprehensive evaluation of the analytical features of tyrosinase-based biosensors. Additionally, the biosensor was applied to quantify dopamine in brain tissue, utilizing a calibration curve derived from the fabricated biosensor. The dopamine concentration measured in five Wistar rats was 35 ± 2.75 μM, reflecting the mean and standard deviation, respectively. These results confirm the biosensor's capability for accurately detecting this critical neurotransmitter in the brains of Wistar rats. This investigation underscores the potential of tyrosinase-based biosensors for diverse analytical applications in biological samples.

Monoamine alterations in Alzheimer's disease and their implications in comorbid neuropsychiatric symptoms.

Alzheimer's disease (AD) is a devastating neurodegenerative disorder characterized by relentless cognitive decline and the emergence of profoundly disruptive neuropsychiatric symptoms. As the disease progresses, it unveils a formidable array of neuropsychiatric manifestations, including debilitating depression, anxiety, agitation, and distressing episodes of psychosis. The intricate web of the monoaminergic system, governed by serotonin, dopamine, and norepinephrine, significantly influences our mood, cognition, and behavior. Emerging evidence suggests that dysregulation and degeneration of this system occur early in AD, leading to notable alterations in these critical neurotransmitters' levels, metabolism, and receptor function. However, how the degeneration of monoaminergic neurons and subsequent compensatory changes contribute to the presentation of neuropsychiatric symptoms observed in Alzheimer's disease remains elusive. This review synthesizes current findings on monoamine alterations in AD and explores how these changes contribute to the neuropsychiatric symptomatology of the disease. By elucidating the biological underpinnings of AD-related psychiatric symptoms, we aim to underscore the complexity and inform innovative approaches for treating neuropsychiatric symptoms in AD.

Analyzing Fusion Pore Dynamics and Counting the Number of Acetylcholine Molecules Released by Exocytosis.

Acetylcholine (ACh) is a critical neurotransmitter influencing various neurophysiological functions. Despite its significance, quantitative methods with adequate spatiotemporal resolution for recording a single exocytotic ACh efflux are lacking. In this study, we introduce an ultrafast amperometric ACh biosensor that enables 50 kHz electrochemical recording of spontaneous single exocytosis events at axon terminals of differentiated cholinergic human SH-SY5Y neuroblastoma cells with sub-millisecond temporal resolution. Characterization of the recorded amperometric traces revealed seven distinct current spike types, each displaying variations in shape, time scale, and ACh quantities released. This finding suggests that exocytotic release is governed by complex fusion pore dynamics in these cells. The absolute number of ACh molecules released during exocytosis was quantified by calibrating the sensor through the electroanalysis of liposomes preloaded with varying ACh concentrations. Notably, the largest quantal release involving approximately 8000 ACh molecules likely represents full exocytosis, while a smaller release of 5000 ACh molecules may indicate partial exocytosis. Following a local administration of bafilomycin A1, a V-ATPase inhibitor, the cholinergic cells exhibited both a larger quantity of ACh released and a higher frequency of exocytosis events. Therefore, this ACh sensor provides a means to monitor minute amounts of ACh and investigate regulatory release mechanisms at the single-cell level, which is vital for understanding healthy brain function and pathologies and optimizing drug treatment for disorders.

Neurobiological mechanisms in the kynurenine pathway and major depressive disorder.

Major depressive disorder (MDD) is a prevalent psychiatric disorder that has damage to people's quality of life. Tryptophan is the precursor to serotonin, a critical neurotransmitter in mood modulation. In mammals, most free tryptophan is degraded by the kynurenine pathway (KP), resulting in a range of metabolites involved in inflammation, immune response, and neurotransmission. The imbalance between quinolinic acid (QA), a toxic metabolite, and kynurenic acid (KynA), a protective metabolite, is a relevant phenomenon involved in the pathophysiology of MDD. Proinflammatory cytokines increase the activity of the enzyme indoleamine 2,3-dioxygenase (IDO), leading to the degradation of tryptophan in the KP and an increase in the release of QA. IDO activates proinflammatory genes, potentiating neuroinflammation and deregulating other physiological mechanisms related to chronic stress and MDD. This review highlights the physiological mechanisms involved with stress and MDD, which are underlying an imbalance of the KP and discuss potential therapeutic targets.

Ultrasensitive Monolithic Dopamine Microsensors Employing Vertically Aligned Carbon Nanofibers.

Brain-on-Chip devices, which facilitate on-chip cultures of neurons to simulate brain functions, are receiving tremendous attention from both fundamental and clinical research. Consequently, microsensors are being developed to accomplish real-time monitoring of neurotransmitters, which are the benchmarks for neuron network operation. Among these, electrochemical sensors have emerged as promising candidates for detecting a critical neurotransmitter, dopamine. However, current state-of-the-art electrochemical dopamine sensors are suffering from issues like limited sensitivity and cumbersome fabrication. Here, a novel route in monolithically microfabricating vertically aligned carbon nanofiber electrochemical dopamine microsensors is reported with an anti-blistering slow cooling process. Thanks to the microfabrication process, microsensors is created with complete insulation and large surface areas. The champion device shows extremely high sensitivity of 4.52× 104 µAµM-1·cm-2, which is two-orders-of-magnitude higher than current devices, and a highly competitive limit of detection of 0.243 nM. These remarkable figures-of-merit will open new windows for applications such as electrochemical recording from a singleneuron.

Continuous Real-Time Detection of Serotonin Using an Aptamer-Based Electrochemical Biosensor.

Serotonin (5-HT) is a critical neurotransmitter involved in many neuronal functions, and 5-HT depletion has been linked to several mental diseases. The fast release and clearance of serotonin in the extracellular space, low analyte concentrations, and a multitude of interfering species make the detection of serotonin challenging. This work presents an electrochemical aptamer-based biosensing platform that can monitor 5-HT continuously with high sensitivity and selectivity. Our electrochemical sensor showed a response time of approximately 1 min to a step change in the serotonin concentration in continuous monitoring using a single-frequency EIS (electrochemical impedance spectroscopy) technique. The developed sensing platform was able to detect 5-HT in the range of 25-150 nM in the continuous sample fluid flow with a detection limit (LOD) of 5.6 nM. The electrochemical sensor showed promising selectivity against other species with similar chemical structures and redox potentials, including dopamine (DA), norepinephrine (NE), L-tryptophan (L-TP), 5-hydroxyindoleacetic acid (5-HIAA), and 5-hydroxytryptophan (5-HTP). The proposed sensing platform is able to achieve high selectivity in the nanomolar range continuously in real-time, demonstrating the potential for monitoring serotonin from neurons in organ-on-a-chip or brain-on-a-chip-based platforms.

Mitochondrial Interaction with Serotonin in Neurobiology and Its Implication in Alzheimer's Disease.

Alzheimer's disease (AD) is a lethal neurodegenerative disorder characterized by severe brain pathologies and progressive cognitive decline. While the exact cause of this disease remains unknown, emerging evidence suggests that dysregulation of neurotransmitters contributes to the development of AD pathology and symptoms. Serotonin, a critical neurotransmitter in the brain, plays a pivotal role in regulating various brain processes and is implicated in neurological and psychiatric disorders, including AD. Recent studies have shed light on the interplay between mitochondrial function and serotonin regulation in brain physiology. In AD, there is a deficiency of serotonin, along with impairments in mitochondrial function, particularly in serotoninergic neurons. Additionally, altered activity of mitochondrial enzymes, such as monoamine oxidase, may contribute to serotonin dysregulation in AD. Understanding the intricate relationship between mitochondria and serotonin provides valuable insights into the underlying mechanisms of AD and identifies potential therapeutic targets to restore serotonin homeostasis and alleviate AD symptoms. This review summarizes the recent advancements in unraveling the connection between brain mitochondria and serotonin, emphasizing their significance in AD pathogenesis and underscoring the importance of further research in this area. Elucidating the role of mitochondria in serotonin dysfunction will promote the development of therapeutic strategies for the treatment and prevention of this neurodegenerative disorder.

Alteration of Postural Reactions in Rats with Different Levels of Dopamine Depletion.

Dopamine (DA) is the critical neurotransmitter involved in the unconscious control of muscle tone and body posture. We evaluated the general motor capacities and muscle responses to postural disturbance in three conditions: normal DA level (wild-type rats, WT), mild DA deficiency (WT after administration of α-methyl-p-tyrosine-AMPT, that blocks DA synthesis), and severe DA depletion (DAT-KO rats after AMPT). The horizontal displacements in WT rats elicited a multi-component EMG corrective response in the flexor and extensor muscles. Similar to the gradual progression of DA-related diseases, we observed different degrees of bradykinesia, rigidity, and postural instability after AMPT. The mild DA deficiency impaired the initiation pattern of corrective responses, specifically delaying the extensor muscles' activity ipsilaterally to displacement direction and earlier extensor activity from the opposite side. DA depletion in DAT-KO rats after AMPT elicited tremors, general stiffness, and akinesia, and caused earlier response to horizontal displacements in the coactivated flexor and extensor muscles bilaterally. The data obtained show the specific role of DA in postural reactions and suggest that this experimental approach can be used to investigate sensorimotor control in different dopamine-deficient states and to model DA-related diseases.

Classifying migraine using PET compressive big data analytics of brain's μ-opioid and D2/D3 dopamine neurotransmission.

Introduction: Migraine is a common and debilitating pain disorder associated with dysfunction of the central nervous system. Advanced magnetic resonance imaging (MRI) studies have reported relevant pathophysiologic states in migraine. However, its molecular mechanistic processes are still poorly understood in vivo. This study examined migraine patients with a novel machine learning (ML) method based on their central μ-opioid and dopamine D2/D3 profiles, the most critical neurotransmitters in the brain for pain perception and its cognitive-motivational interface. Methods: We employed compressive Big Data Analytics (CBDA) to identify migraineurs and healthy controls (HC) in a large positron emission tomography (PET) dataset. 198 PET volumes were obtained from 38 migraineurs and 23 HC during rest and thermal pain challenge. 61 subjects were scanned with the selective μ-opioid receptor (μOR) radiotracer [11C]Carfentanil, and 22 with the selective dopamine D2/D3 receptor (DOR) radiotracer [11C]Raclopride. PET scans were recast into a 1D array of 510,340 voxels with spatial and intensity filtering of non-displaceable binding potential (BPND), representing the receptor availability level. We then performed data reduction and CBDA to power rank the predictive brain voxels. Results: CBDA classified migraineurs from HC with accuracy, sensitivity, and specificity above 90% for whole-brain and region-of-interest (ROI) analyses. The most predictive ROIs for μOR were the insula (anterior), thalamus (pulvinar, medial-dorsal, and ventral lateral/posterior nuclei), and the putamen. The latter, putamen (anterior), was also the most predictive for migraine regarding DOR D2/D3 BPND levels. Discussion: CBDA of endogenous μ-opioid and D2/D3 dopamine dysfunctions in the brain can accurately identify a migraine patient based on their receptor availability across key sensory, motor, and motivational processing regions. Our ML-based findings in the migraineur's brain neurotransmission partly explain the severe impact of migraine suffering and associated neuropsychiatric comorbidities.

L-Cysteine anchored Co-MOF derived cobalt-nitrogen-carbon hierarchical architecture as an efficient sensor for the electrochemical detection of catecholamine

Dopamine (DA) is considered a critical neurotransmitter related to different neurological disorders. Therefore, finding a sensitive and selective technique for the early diagnosis of these diseases is important. Herein, we used a cobalt-nitrogen and sulfur-doped carbon hierarchical architecture (Co-N,S-C) as a sensor for the detection of DA. The synthesized materials were characterized by various physicochemical techniques. The obtained hierarchical material doped with heteroatoms not only provided sufficient electroactive sites but also enhanced the conductivity of the materials. The electrochemical properties and catalytic activity of the Co-N,S-C-modified glassy carbon electrodes were investigated using cyclic voltammetry, impedance spectroscopy, linear swift voltammetry (LSV), and square wave voltammetry (SWV). The SWV indicates that the sensor provides a wide linear range of 5–115 µM and a lower limit of detection (0.43 µM) for DA. The developed sensor was successfully utilized for the electrochemical detection of DA in human urine samples, with high accuracy and reliability. Hopefully, our method will be helpful for the detection of other neurotransmitters in the near future.

Relationships between serotonin availability and frontolimbic response to fearful and threatening faces

Serotonin is a critical neurotransmitter in the regulation of emotional behavior. Although emotion processing is known to engage a corticolimbic circuit, including the amygdala and prefrontal cortex, exactly how this brain system is modulated by serotonin remains unclear. Here, we hypothesized that serotonin modulates variability in excitability and functional connectivity within this circuit. We tested whether this modulation contributes to inter-individual differences in emotion processing. Using a multimodal neuroimaging approach with a simultaneous PET-3T fMRI scanner, we simultaneously acquired BOLD signal while participants viewed emotional faces depicting fear and anger, while also measuring serotonin transporter (SERT) levels, regulating serotonin functions. Individuals with higher activity of the medial amygdala BOLD in response to fearful or angry facial expressions, who were temperamentally more anxious, also exhibited lower SERT availability in the dorsal raphe nucleus (DRN). Moreover, higher connectivity of the medial amygdala with the left dorsolateral prefrontal and the anterior cingulate cortex was associated with lower levels of SERT availability in the DRN. These results demonstrate the association between the serotonin transporter level and emotion processing through changes in functional interactions between the amygdala and the prefrontal areas in healthy humans.

Chronic Ethanol Consumption Alters Presynaptic Regulation of Dorsal Striatal Dopamine Release in C57BL/6J Mice.

Alcohol use disorder (AUD) is characterized by escalating alcohol consumption, preoccupation with alcohol, and continued alcohol consumption despite adverse consequences. Dopamine has been implicated in neural and behavioral processes involved in reward and reinforcement and is a critical neurotransmitter in AUD. Clinical and preclinical research has shown that long-term ethanol exposure can alter dopamine release, though most of this work has focused on nucleus accumbens (NAc). Like the NAc, the dorsal striatum (DS) is implicated in neural and behavioral processes in AUD. However, little work has examined chronic ethanol effects on DS dopamine dynamics. Therefore, we examined the effect of ethanol consumption and withdrawal on dopamine release and its presynaptic regulation with fast-scan cyclic voltammetry in C57BL/6J mice. We found that one month of ethanol consumption did not alter maximal dopamine release or dopamine tissue content. However, we did find that D2 dopamine autoreceptors were sensitized. We also found a decrease in cholinergic control of dopamine release via β2-containing nAChRs on dopamine axons. Interestingly, both effects were reversed following withdrawal, raising the possibility that some of the neuroadaptations in AUD might be reversible in abstinence. Altogether, this work elucidates some of the chronic alcohol-induced neurobiological dysfunctions in the dopamine system.

Dopamine plays a critical role in the olfactory adaptive learning pathway in Caenorhabditis elegans.

Encoding and consolidating information through learning and memory is vital in adaptation and survival. Dopamine (DA) is a critical neurotransmitter that modulates behavior. However, the role of DA in learning and memory processes is not well defined. Herein, we used the olfactory adaptive learning paradigm in Caenorhabditis elegans to elucidate the role of DA in the memory pathway. Cat-2 mutant worms with low DA synthesis showed a significant reduction in chemotaxis index (CI) compared to the wild type (WT) after short-term conditioning. In dat-1::ICE worms, having degeneration of DA neurons, there was a significant reduction in adaptive learning and memory. When the worms were trained in the presence of exogenous DA (10 mM) instead of food, a substantial increase in CI value was observed. Furthermore, our results suggest that both dop-1 and dop-3 DA receptors are involved in memory retention. The release of DA during conditioning is essential to initiate the learning pathway. We also noted an enhanced cholinergic receptor activity in the absence of dopaminergic neurons. The strains expressing GCaMP6 in DA neurons (pdat-1::GCaMP-6::mCherry) showed a rise in intracellular calcium influx in the presence of the conditional stimulus after training, suggesting DA neurons are activated during memory recall. These results reveal the critical role of DA in adaptive learning and memory, indicating that DA neurons play a crucial role in the effective processing of cognitive function.

Relaxation-Compensated Chemical Exchange Saturation Transfer MRI in the Brain at 7T: Application in Relapsing-Remitting Multiple Sclerosis.

Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) can probe tissue biochemistry in vivo with high resolution and sensitivity without requiring exogenous contrast agents. Applying CEST MRI at ultrahigh field provides advantages of increasing spectral resolution and improving sensitivity to metabolites with faster proton exchange rates such as glutamate, a critical neurotransmitter in the brain. Prior magnetic resonance spectroscopy and CEST MRI studies have revealed altered regulation of glutamate in patients with multiple sclerosis (MS). While CEST imaging facilitates new strategies for investigating the pathology underlying this complex and heterogeneous neurological disease, CEST signals are contaminated or diluted by concurrent effects (e.g., semi-solid magnetization transfer (MT) and direct water saturation) and are scaled by the T1 relaxation time of the free water pool which may also be altered in the context of disease. In this study of 20 relapsing-remitting MS patients and age- and sex-matched healthy volunteers, glutamate-weighted CEST data were acquired at 7.0 T. A Lorentzian fitting procedure was used to remove the asymmetric MT contribution from CEST z-spectra, and the apparent exchange-dependent relaxation (AREX) correction was applied using an R1 map derived from an inversion recovery sequence to further isolate glutamate-weighted CEST signals from concurrent effects. Associations between AREX and cognitive function were examined using the Minimal Assessment of Cognitive Function in MS battery. After isolating CEST effects from MT, direct water saturation, and T1 effects, glutamate-weighted AREX contrast remained higher in gray matter than in white matter, though the difference between these tissues decreased. Glutamate-weighted AREX in normal-appearing gray and white matter in MS patients did not differ from healthy gray and white matter but was significantly elevated in white matter lesions. AREX in some cortical regions and in white matter lesions correlated with disability and measures of cognitive function in MS patients. However, further studies with larger sample sizes are needed to confirm these relationships due to potential confounding effects. The application of MT and AREX corrections in this study demonstrates the importance of isolating CEST signals for more specific characterization of the contribution of metabolic changes to tissue pathology and symptoms in MS.

Dendrimer-2PMPA Delays Muscle Function Loss and Denervation in a Murine Model of Amyotrophic Lateral Sclerosis

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease where muscle weakness and neuromuscular junction (NMJ) denervation precede motor neuron cell death. Although acetylcholine is the canonical neurotransmitter at the mammalian NMJ synapse, glutamate has recently been identified as a critical neurotransmitter for NMJ development and maintenance. One source of glutamate is through the catabolism of N-acetyl-aspartyl-glutamate (NAAG), which is found in mM concentrations in mammalian motoneurons, where it is released upon stimulation and hydrolyzed to glutamate by the glial enzyme glutamate carboxypeptidase II (GCPII). Using the SOD1G93A model of ALS, we found an almost fourfold elevation of GCPII enzymatic activity in SOD1G93A versus WT muscle and a robust increase in GCPII expression which was specifically associated with activated macrophages infiltrating the muscle. 2-(Phosphonomethyl)pentanedioic acid (2PMPA) is a potent GCPII inhibitor which robustly blocks glutamate release from NAAG but is highly polar with limited tissue penetration. To improve this, we covalently attached 2PMPA to a hydroxyl polyamidoamine (PAMAM-G4-OH) dendrimer delivery system (D-2PMPA) which is known to target activated macrophages in affected tissues. Systemic D-2PMPA therapy (20 mg/kg 2PMPA equivalent; IP 2 × /week) was found to localize in muscle macrophages in SOD1G93A mice and completely normalize the enhanced GCPII activity. Although no changes in body weight or survival were observed, D-2PMPA significantly improved grip strength and inhibited the loss of NMJ innervation in the gastrocnemius muscles. Our finding that inhibiting elevated GCPII activity in SOD1G93A muscle can prolong muscle function and delay NMJ denervation may have early therapeutic implications for ALS patients.

Ultra-fast synthesis of iron decorated multiwalled carbon nanotube composite materials: A sensitive electrochemical sensor for determining dopamine

Real-time monitoring of dopamine (DA) levels, a critical neurotransmitter involved in motor function and blood pressure regulation, requires more sensitive and selective sensors over a dynamic concentration range. The immense need to build highly efficient catalysts has always been at the forefront of electrochemical detection research toward DA. Herein, we design and synthesis an iron carbides-based heterostructure composite (Fe/Fe3C@CNT) by the introduction of microwave-assisted method and multiwalled carbon nanotubes (CNTs). Remarkably, it took only about 1.5 min to completely the preparation process including the pyrolysis of ferrocene (iron sources) and the formation of Fe/Fe3C nanoparticles uniformly distributed on the CNTs. Due to the unique heterostructure, enhanced electrical conductivity and adequate dispersion of active sites, the fabricated sensors exhibit favorable selectivity and great sensing property, yielding a distinguishable and selective response to DA down to 15 nM with a good linearity scope of 0.050–40 μM. The developed Fe/Fe3C@CNT electrode was then successfully applied to monitor the DA level from the real samples, which holds considerable promise for electrochemical detection and biosensing applications.

Optogenetic induction of orbitostriatal long-term potentiation in the dorsomedial striatum elicits a persistent reduction of alcohol-seeking behavior in rats

Uncontrolled drug-seeking and -taking behaviors are generally driven by maladaptive corticostriatal synaptic plasticity. The orbital frontal cortex (OFC) and its projections to the dorsomedial striatum (DMS) have been extensively implicated in drug-seeking and relapse behaviors. The influence of the synaptic plasticity of OFC projections to the DMS (OFC→DMS) on drug-seeking and -taking behaviors has not been fully characterized. To investigate this, we trained rats to self-administer 20% alcohol and then delivered an in vivo optogenetic protocol designed to induce long-term potentiation (LTP) selectively at OFC→DMS synapses. We selected LTP induction because we found that voluntary alcohol self-administration suppressed OFC→DMS transmission and LTP may normalize this transmission, consequently reducing alcohol-seeking behavior. Importantly, ex vivo slice electrophysiology studies confirmed that this in vivo optical stimulation protocol resulted in a significant increase in excitatory OFC→DMS transmission strength on day two after stimulation, suggesting that LTP was induced in vivo. Rat alcohol-seeking and -taking behaviors were significantly reduced on days 1–3, but not on days 7–11, after LTP induction. Striatal synaptic plasticity is modulated by several critical neurotransmitter receptors, including dopamine D1 receptors (D1Rs) and adenosine A2A receptors (A2ARs). We found that delivery of in vivo optical stimulation in the presence of a D1R antagonist abolished the LTP-associated decrease in alcohol-seeking behavior, whereas delivery in the presence of an A2AR antagonist may facilitate this LTP-induced behavioral change. These results demonstrate that alcohol-seeking behavior was negatively regulated by the potentiation of excitatory OFC→DMS neurotransmission. Our findings provide direct evidence that the OFC exerts “top-down” control of alcohol-seeking behavior via the DMS.