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Editorial

Emerging Translational Research in Neurological and Psychiatric Diseases: From In Vitro to In Vivo Models

by
Masaru Tanaka
1,*,†,
Ágnes Szabó
2,3,
László Vécsei
1,2 and
Lydia Giménez-Llort
4,5,*,†
1
Danube Neuroscience Research Laboratory, HUN-REN-SZTE Neuroscience Research Group, Hungarian Research Network, University of Szeged (HUN-REN-SZTE), Tisza Lajos krt. 113, H-6725 Szeged, Hungary
2
Department of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, Semmelweis u. 6, H-6725 Szeged, Hungary
3
Doctoral School of Clinical Medicine, University of Szeged, Korányi fasor 6, H-6720 Szeged, Hungary
4
Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193 Barcelona, Spain
5
Department of Psychiatry & Forensic Medicine, Faculty of Medicine, Campus Bellaterra, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193 Barcelona, Spain
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Int. J. Mol. Sci. 2023, 24(21), 15739; https://doi.org/10.3390/ijms242115739
Submission received: 10 October 2023 / Accepted: 13 October 2023 / Published: 30 October 2023
(This article belongs to the Topic Emerging Translational Research in Neurological and Psychiatric Diseases: From In Vitro to In Vivo Models)
Versions Notes

1. Introduction

Revealing the underlying pathomechanisms of neurological and psychiatric disorders, searching for new biomarkers, and developing novel therapeutics all require translational research [1]. In vivo and in vitro models have been instrumental in elucidating complex polygenic, multifactorial, and heterogeneous mechanisms [2]. In recent years, advanced preclinical models have revealed the intriguing interaction of sex/gender and aging with the pathogenesis and clinical manifestations of neuropsychiatric disorders [3,4,5]. However, despite these advancements, a great deal of work remains to be undertaken to fully comprehend the underlying pathology of these conditions and to elaborate treatments that can significantly improve the lives of those who suffer from them. The current challenge in the field of neurological and psychiatric disorders is the development of disease-modifying, effective treatments for these complex and long-lasting debilitating conditions with a high burden of malady.
The first edition of this research topic, entitled ‘Emerging Translational Research in Neurological and Psychiatric Diseases: From In Vitro to In Vivo Models’, reinforces the notion that translational research plays a critical role in bridging the gap between basic research and clinical applications. In addition, it provides a platform for investigators to share their findings and advancements in translational research in this field. This new collection gathers 25 papers offering insights into the latest advancements in translational research and potential new avenues for treatments. These papers address a range of topics, including engineering novel preclinical models, utilizing in vitro and in vivo methods, and applying qualitative and quantitative research techniques.

2. Topic Articles

2.1. Neurological Disorders and Therapies

2.1.1. Pathophysiology

Understanding the pathogenesis of Alzheimer’s disease (AD) and elaborating suitable preclinical models are vital for research [6,7]. Castillo-Mariqueo et al. devise a behavioral observation method to study gait and exploratory activity during AD progression and aging, adding motor symptoms to the classical cognitive perspective. Their work demonstrates pronounced functional impairment in 3× Tg-AD mice, underscoring the model’s applicative potential in AD research and therapeutic development [8]. This study contributes to our understanding of AD’s complexities and potential treatment avenues, aligning with broader research in this field. Santana-Santana et al. investigate how the marble burying test outcomes differ between male and female mice, shedding light on potential sex-dependent variations in behavior relevant to aging and AD. The article also examines how these behaviors alter over time, providing insights into the progression of age- and AD-related behavioral changes in mice [9]. Furthermore, Lam et al. identify age-related disturbances in retinoids and sex hormones, particularly in the context of AD and Parkinson’s disease (PD) [10]. The study suggests that these molecules may play a pivotal role in the pathogenesis and progression of these debilitating neurological conditions. These insights are valuable for advancing our knowledge of the mechanisms implicated in AD and PD, and potentially paving the way for innovative therapeutic approaches [11,12].
It is essential to burgeon novel therapeutic strategies for neurological and cardiovascular diseases, which are leading causes of morbidity and mortality worldwide. Additionally, non-invasive brain stimulation techniques have become an integral aspect of clinical research in mental illnesses [13,14]. Methods such as transcranial magnetic stimulation and transcranial direct current stimulation have been employed in preclinical models to investigate their potential therapeutic alternatives [15,16]. These techniques offer a unique opportunity to modulate neural activity in specific brain regions, mimicking the neuromodulatory effects observed in human studies [17,18,19]. Non-invasive brain stimulation in preclinical research allows scientists to explore the neural circuitry involved in neuropsychiatric conditions, providing valuable insights into the underlying pathology. It also facilitates the assessment of the safety and efficacy of these techniques before translating them into clinical applications. Mitrečić et al. discuss the potential of stem-cell-based therapies, tissue engineering, and regenerative medicine in augmenting effective treatments for these diseases, emphasizing the criticality of interdisciplinary collaboration and the need for an enhanced understanding of the underlying pathomechanisms of these conditions [20]. Revealing iron metabolism in AD is crucial due to its significant role in brain function and the development of AD-related pathologies. Peng et al. review the recent advances made regarding the relationship between iron and AD, highlighting the importance of iron in the brain for treating AD and discussing the potential of iron chelators as a therapeutic option for AD [21].
Three papers contribute to our knowledge regarding the pathophysiology of AD and reveal potential therapeutic targets for the disease. Swingler et al. investigate the role of microRNA-455 in AD-related memory deficits and anxiety, highlighting potential targets for therapeutic intervention [22]. Sheikh et al. discuss the aggregation of cystatin C and its effect on protease activities and the formation of amyloid beta fibrils, which are key pathogenesis in AD [23]. In an in vitro model of AD, Fernandes et al. investigate the structural and functional alterations in mitochondria-associated membranes and mitochondria, elucidating the stress response mechanisms activated by the disease [24]. These papers collectively provide valuable information regarding the underlying pathology of AD and its potential therapeutic targets, which could aid in elaborating novel treatments for the condition.

2.1.2. Therapies

Other researchers investigate the therapeutic potential of mesenchymal stem cells (MSCs) for neurological disorders. Fu et al. demonstrate that xenografts of human umbilical MSCs promote recovery after chronic ischemic stroke in rats [25]. The article highlights the potential of MSCs in treating chronic stroke and provides insights into the therapeutic benefits of the xenotransplantation of MSCs. Kassab et al. discuss the role of systemic filtering organs, particularly the kidney, in aging and rejuvenation from a systems biology perspective. It provides an overview of the major systemic causes of aging and identifies that the filtration system represents a clear gap in aging studies to date. The paper concludes by exploring possible rejuvenation avenues that must be developed in the future in order to address the complex topic of healthy aging [26]. These papers provide valuable information regarding the therapeutic potential of MSCs in treating neurological diseases and regenerative medicine, which can aid in elaborating novel therapeutic strategies for these conditions.
The common pathogenesis of neurodegeneration, such as inflammation, amyloid pathology, and microglial dysfunction, are explored in three articles that focus on AD and PD, two prevalent neurodegenerative diseases [27]. The articles also propose novel treatments that target these mechanisms. One article by Hsu et al. evaluates the effect of peiminine on PD by regulating the PINK1/Parkin pathway [28]. Another article by Tsay et al. assesses the effect of EK100 and Antrodin C on AD by enhancing microglial and perivascular clearance pathways [29]. A third article by Kuo et al. examines the role of neuron–microglia contacts in controlling PGE2 tolerance and the effect of inhibiting TLR4-mediated de novo protein synthesis on neurodegeneration [30]. Bezerra et al. also investigate the possible role of SerpinA1 in modulating transthyretin proteolysis, a process involved in various neurodegenerative conditions, including AD and familial amyloid polyneuropathy [31]. These papers offer valuable insights into the potential application of new therapeutic strategies for neurodegenerative diseases, which can facilitate the development of effective treatments for these conditions.
Bellon et al. investigate the optimization of neurite tracing and the further characterization of neuronal-like cells derived from human monocytes [32]. Revealing the mechanisms underlying the differentiation of human circulating monocytes into neuronal-like cells is crucial for identifying novel therapeutic strategies for neurological conditions, as demonstrated by this study. The findings contribute to the growing body of research on the potential of circulating monocytes in human blood to be transdifferentiated into neuronal-like cells, which could lead to improved outcomes for patients with neurological disorders.
Transcranial alternating current stimulation (tACS) possesses the potential to reduce the symptoms of AD and improve cognitive function in those who have it. Jeong et al. examine the effects of tACS on long-term potentiation in transgenic mice with AD, which is an important process for learning and memory. The advantage of using tACS in this experiment is that its current can oscillate at a specific frequency and interact with the intrinsic oscillation of the brain [33]. The article highlights the applicative potential of tACS in treating AD-related cognitive impairments, which can aid in the development of novel therapeutic strategies for AD.
Chen et al. investigate the potential role of microRNA-124 in treating retinal vasoregression in neurodegenerative diseases [34]. The study highlights the significance of microRNA-124 in regulating microglial polarization, which is implicated in the retinal vasoregression. The findings contribute to our understanding of the potential of microRNA-124 in treating retinal vasoregression, aiding in searching novel therapeutic strategies for these conditions. The article also sheds light on the potential of microglial polarization as a therapeutic target for neurodegenerative diseases.
In a preclinical model of multiple sclerosis (MS), Quirant-Sánchez et al. investigate the application of a combined therapy approach involving vitamin D3-tolerogenic dendritic cells and interferon-β. The findings suggest that in a preclinical model, this combined treatment can effectively reduce the severity of MS symptoms and improve overall outcomes, potentially leading to the development of novel MS therapeutic strategies [35]. Thus, it is evident that the application of preclinical models has been instrumental in propelling research on MS forward [36]. These investigations have not only deepened our understanding of the intricate pathophysiology implicated in the condition, but have also been key in identifying potential biomarkers [37,38]. Furthermore, they have opened new avenues for the discovery of innovative treatments. Thus, the importance of these studies in shaping the future of MS research is undeniable.

2.2. Pain

Pain and mental illnesses are inextricably linked, and their comorbidities have been extensively investigated [39,40,41]. Neurogenic inflammation and neuropeptides have been implicated in the pathophysiology of various human diseases, including primary headache disorders and peripheral neuropathy [42]. These articles investigate the potential function of neurogenic inflammation and neuropeptides in the etiology and progression of a wide range of illnesses, from primary headache disorders to peripheral neuropathy [43]. The article by Spekker et al. discusses the impact of neurogenic inflammation on migraines and reviews recent findings from translational research on the subject [44]. A better understanding of its role in migraines could have crucial implications for the clinical management of this neurological condition. Employing the Class I HDAC inhibitor MS-275, Lamoine et al. provide vital new information regarding the benefits of using this drug to prevent chronic neuropathy and enhance antiproliferative activity in mice. The study utilizes a systems biology approach, combining transcriptomic and bioinformatic analyses to identify the molecular mechanisms underlying the effects of MS-275 [45]. The article highlights the potential of systems biology approaches in identifying novel therapeutic targets and elaborating more effective treatments for various diseases.

2.3. Psychiatric Disorders, Pathophysiology, Biomarkers, Therapies

Five articles highlight the significance of revealing the pathomechanisms underlying various conditions, including autism, sleep disturbance, and metabolic dysfunction, in searching novel therapeutic strategies. The role of the cerebellum and striatum in autism spectrum disorders is investigated by Thabault et al. This study is valuable because it investigates the neurological aspects of autism spectrum disorder, elucidates potential pathophysiology, and provides a link between clinical observations and preclinical models [46]. Lee et al. investigate the influence of maternal immune activation on male rat offspring. In this study, maternal immune activation is associated with social behavior deficits and hypomyelination, a condition characterized by reduced myelin in the brain, according to the study. These effects are observed in male rat offspring, and the investigation suggests that they have an autism-like microbiota profile [47]. Abuaish et al. investigate the potential of fecal transplant and Bifidobacterium treatments in modulating gut Clostridium bacteria and rescuing social impairment and hippocampal brain-derived neurotrophic factor expression in a rodent model of autism [48]. The article highlights the significance of understanding the role of gut microbiota dysbiosis in the pathophysiology of autism and the potential of microbiota-based interventions in scrutinizing for novel therapeutic strategies for autism.
Sleep is an integral component of energy metabolism, and sleep disturbance has been implicated in a wide range of metabolic disorders. Wei et al. provide a balanced overview of adipokines and their role in sleep physiology and sleep disorders with reference to recent human and preclinical studies [49]. The significance of this review lies in its contribution to our understanding of the relationship among sleep disturbance, metabolic dysfunction, and adipokines, which can aid in identifying novel therapeutic strategies for metabolic disorders. Garro-Martínez et al. investigate the potential role of mTOR expression in the infralimbic cortex in the pathophysiology of depression [50]. The article highlights the significance of revealing the mechanisms underlying mTOR expression in the infralimbic cortex and its potential role in the development of depressive-like behaviors. The findings contribute to the growing body of research on the potential of mTOR as a therapeutic target for depression, potentially leading to improved outcomes for individuals with this condition.

3. Conclusions and Future Directions

In vitro- and in vivo-based preclinical research serves as a vital complement to human studies in understanding neuropsychiatric conditions [51,52,53,54,55]. These models enable researchers to simulate disease conditions and explore the intricate connections among genetics, environment, pharmacology, and comorbidities [56,57,58,59,60]. This study provides insights into the pathomechanisms underlying neurological and mental disorders, facilitates the testing of potential treatments, and evaluates therapeutic efficacy [61]. For instance, studies in translational research illustrate how preclinical models aid in translating findings from the lab to clinical applications. Preclinical models have also been crucial in exploring neurological and psychiatric conditions like AD and autism spectrum disorder, and shedding light on their underlying factors. Furthermore, this approach contributes to the elaboration of personalized medicine by enabling the application of tailored treatments for mental disorders. It also enables the investigation of structural changes in the brain and the advancement of imaging techniques for clinical use. Preclinical research plays an essential role in unraveling the complexities of brain illnesses, offering valuable insights and testing treatments, and paving the way for innovative therapeutics and personalized medicine.
In this multidisciplinary endeavor, neuropharmacological research plays a pivotal role. The study of how drugs and compounds interact with the intricate neural networks present in preclinical models provides a deeper understanding of potential therapeutic agents [62,63,64,65,66,67,68,69]. These insights guide the future development of pharmacological interventions that can target the specific molecular pathways implicated in neuropsychiatric conditions. Researchers are exploring novel drug candidates, investigating their safety profiles, and assessing their efficacy in mitigating the symptoms of conditions like depression and anxiety, and the cognitive impairments associated with mental illnesses [70]. Advanced imaging techniques have significantly aided research on neuropsychiatric disorders. According to neuroimaging research, these conditions are associated with changes in brain structure and function [71,72,73,74,75,76,77,78]. These imaging methods can aid in the diagnosis of rare clinical cases and shed light on the underlying pathophysiology of the disorders being studied. Furthermore, neuropharmacological approach dovetails with the broader scope of preclinical investigations, facilitating a comprehensive exploration of the genetic, environmental, and pharmacological factors that influence mental health [66,68]. It expedites the identification of potential drug targets and the elaboration of personalized medicine approaches tailored to individuals’ unique neurochemical profiles [79,80,81].
In summary, we aspire for this subject to act as a pivotal platform for the exploration of the neural foundations of neurological and psychiatric disorders. Researchers are attempting to open novel avenues for specialized treatment plans and preventive measures, with the ultimate aim of improving the quality of life of those suffering from these complex mental health conditions, by examining behavioral neuroscience from this perspective [82,83,84,85,86,87,88]. As our comprehension of the pathomechanisms underlying neuropsychiatry advances, we draw nearer to a future in which individuals can receive personalized care and support to conquer these challenging conditions.
This comprehensive and interdisciplinary approach is echoed in various academic works and research endeavors, and serves as a valuable resource when hoping to comprehend the etiological factors of neuropsychiatric disorders, search for biomarkers, achieve precision, and master their personalized treatment. Additionally, discussions regarding the quest for neuropsychiatric biomarkers and endophenotypes are ongoing in academia [89]. Philosophical perspectives on neuropsychiatric topics are also being investigated, thereby contributing to our philosophical comprehension of psychology [90]. Research in this area often involves the examination of abstracts and articles, as exemplified by the National Institutes of Health’s database. This collective effort and interdisciplinary collaboration underscore the importance of advancing our understanding of mental illnesses and working towards enhanced treatments and support for affected individuals. We wish to express our heartfelt appreciation to all of those who contributed to this collection, and extend our gratitude to the reviewers for their invaluable feedback. We eagerly await future contributions that will further propel the fields of neurology and psychiatry, recognizing that your unwavering support and dedication play an indispensable role in shaping the progress and potential of this rapidly expanding domain.

Author Contributions

Conceptualization, M.T. and L.G.-L.; writing—original draft preparation, M.T.; writing—review and editing, M.T. and L.G.-L.; visualization, Á.S.; supervision, M.T., L.V. and L.G.-L.; funding acquisition, M.T., L.V. and L.G.-L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Research, Development, and Innovation Office—NKFIH K138125, TUDFO/47138-1/2019-ITM, the HUN-REN Hungarian Research Network, and Universitat Autònoma de Barcelona, UAB-GE-260408.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing is not applicable to this article.

Acknowledgments

The graphical abstract was created using BioRender.com.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ADAlzheimer’s disease
MSmultiple sclerosis
MSCsmesenchymal stem cells
PDParkinson’s disease
tACSTranscranial alternating current stimulation

References

  1. Tanaka, M.; Szabó, Á.; Vécsei, L. Preclinical modeling in depression and anxiety: Current challenges and future research directions. Adv. Clin. Exp. Med. 2023, 32, 505–509. [Google Scholar] [CrossRef]
  2. Tanaka, M.; Szabó, Á.; Vécsei, L. Integrating Armchair, Bench, and Bedside Research for Behavioral Neurology and Neuropsychiatry: Editorial. Biomedicines 2022, 10, 2999. [Google Scholar] [CrossRef] [PubMed]
  3. Santana-Santana, M.; Bayascas, J.-R.; Giménez-Llort, L. Fine-Tuning the PI3K/Akt Signaling Pathway Intensity by Sex and Genotype-Load: Sex-Dependent Homozygotic Threshold for Somatic Growth but Feminization of Anxious Phenotype in Middle-Aged PDK1 K465E Knock-In and Heterozygous Mice. Biomedicines 2021, 9, 747. [Google Scholar] [CrossRef] [PubMed]
  4. Giménez-Llort, L.; Marin-Pardo, D.; Marazuela, P.; Hernández-Guillamón, M. Survival Bias and Crosstalk between Chronological and Behavioral Age: Age- and Genotype-Sensitivity Tests Define Behavioral Signatures in Middle-Aged, Old, and Long-Lived Mice with Normal and AD-Associated Aging. Biomedicines 2021, 9, 636. [Google Scholar] [CrossRef]
  5. Chen, W.-C.; Wang, T.-S.; Chang, F.-Y.; Chen, P.-A.; Chen, Y.-C. Age, Dose, and Locomotion: Decoding Vulnerability to Ketamine in C57BL/6J and BALB/c Mice. Biomedicines 2023, 11, 1821. [Google Scholar] [CrossRef]
  6. Castillo-Mariqueo, L.; Giménez-Llort, L. Impact of Behavioral Assessment and Re-Test as Functional Trainings That Modify Survival, Anxiety and Functional Profile (Physical Endurance and Motor Learning) of Old Male and Female 3xTg-AD Mice and NTg Mice with Normal Aging. Biomedicines 2022, 10, 973. [Google Scholar] [CrossRef]
  7. Muntsant, A.; Giménez-Llort, L. Genotype Load Modulates Amyloid Burden and Anxiety-Like Patterns in Male 3xTg-AD Survivors despite Similar Neuro-Immunoendocrine, Synaptic and Cognitive Impairments. Biomedicines 2021, 9, 715. [Google Scholar] [CrossRef]
  8. Castillo-Mariqueo, L.; Pérez-García, M.J.; Giménez-Llort, L. Modeling Functional Limitations, Gait Impairments, and Muscle Pathology in Alzheimer’s Disease: Studies in the 3xTg-AD Mice. Biomedicines 2021, 9, 1365. [Google Scholar] [CrossRef]
  9. Santana-Santana, M.; Bayascas, J.-R.; Giménez-Llort, L. Sex-Dependent Signatures, Time Frames and Longitudinal Fine-Tuning of the Marble Burying Test in Normal and AD-Pathological Aging Mice. Biomedicines 2021, 9, 994. [Google Scholar] [CrossRef]
  10. Lam, S.; Hartmann, N.; Benfeitas, R.; Zhang, C.; Arif, M.; Turkez, H.; Uhlén, M.; Englert, C.; Knight, R.; Mardinoglu, A. Systems Analysis Reveals Ageing-Related Perturbations in Retinoids and Sex Hormones in Alzheimer’s and Parkinson’s Diseases. Biomedicines 2021, 9, 1310. [Google Scholar] [CrossRef]
  11. De Masi, R.; Orlando, S.; Toni, V.; Costa, M.C. Fluphenazine-Induced Neurotoxicity with Acute Almost Transient Parkinsonism and Permanent Memory Loss: Lessons from a Case Report. Int. J. Mol. Sci. 2023, 24, 2968. [Google Scholar] [CrossRef]
  12. Török, N.; Maszlag-Török, R.; Molnár, K.; Szolnoki, Z.; Somogyvári, F.; Boda, K.; Tanaka, M.; Klivényi, P.; Vécsei, L. Single Nucleotide Polymorphisms of Indoleamine 2,3-Dioxygenase 1 Influenced the Age Onset of Parkinson’s Disease. Front. Biosci. 2022, 27, 265. [Google Scholar] [CrossRef]
  13. Chang, C.H.; Wang, W.L.; Shieh, Y.H.; Peng, H.Y.; Ho, C.S.; Tsai, H.C. Case Report: Low-Frequency Repetitive Transcranial Magnetic Stimulation to Dorsolateral Prefrontal Cortex and Auditory Cortex in a Patient With Tinnitus and Depression. Front. Psychiatry 2022, 13, 847618. [Google Scholar] [CrossRef] [PubMed]
  14. de Albuquerque, L.L.; Pantovic, M.; Clingo, M.; Fischer, K.; Jalene, S.; Landers, M.; Mari, Z.; Poston, B. A Single Application of Cerebellar Transcranial Direct Current Stimulation Fails to Enhance Motor Skill Acquisition in Parkinson’s Disease: A Pilot Study. Biomedicines 2023, 11, 2219. [Google Scholar] [CrossRef] [PubMed]
  15. Vila-Merkle, H.; González-Martínez, A.; Campos-Jiménez, R.; Martínez-Ricós, J.; Teruel-Martí, V.; Blasco-Serra, A.; Lloret, A.; Celada, P.; Cervera-Ferri, A. The Oscillatory Profile Induced by the Anxiogenic Drug FG-7142 in the Amygdala–Hippocampal Network Is Reversed by Infralimbic Deep Brain Stimulation: Relevance for Mood Disorders. Biomedicines 2021, 9, 783. [Google Scholar] [CrossRef] [PubMed]
  16. Ravache, T.T.; Batistuzzo, A.; Nunes, G.G.; Gomez, T.G.B.; Lorena, F.B.; Do Nascimento, B.P.P.; Bernardi, M.M.; Lima, E.R.R.; Martins, D.O.; Campos, A.C.P.; et al. Multisensory Stimulation Reverses Memory Impairment in Adrβ3KO Male Mice. Int. J. Mol. Sci. 2023, 24, 10522. [Google Scholar] [CrossRef] [PubMed]
  17. Battaglia, S.; Schmidt, A.; Hassel, S.; Tanaka, M. Editorial: Case reports in neuroimaging and stimulation. Front. Psychiatry 2023, 14, 1264669. [Google Scholar] [CrossRef]
  18. Tanaka, M.; Diano, M.; Battaglia, S. Editorial: Insights into structural and functional organization of the brain: Evidence from neuroimaging and non-invasive brain stimulation techniques. Front. Psychiatry 2023, 14, 1225755. [Google Scholar] [CrossRef]
  19. Borgomaneri, S.; Battaglia, S.; Sciamanna, G.; Tortora, F.; Laricchiuta, D. Memories are not written in stone: Re-writing fear memories by means of non-invasive brain stimulation and optogenetic manipulations. Neurosci. Biobehav. Rev. 2021, 127, 334–352. [Google Scholar] [CrossRef]
  20. Mitrečić, D.; Hribljan, V.; Jagečić, D.; Isaković, J.; Lamberto, F.; Horánszky, A.; Zana, M.; Foldes, G.; Zavan, B.; Pivoriūnas, A.; et al. Regenerative Neurology and Regenerative Cardiology: Shared Hurdles and Achievements. Int. J. Mol. Sci. 2022, 23, 855. [Google Scholar] [CrossRef]
  21. Peng, Y.; Chang, X.; Lang, M. Iron Homeostasis Disorder and Alzheimer’s Disease. Int. J. Mol. Sci. 2021, 22, 12442. [Google Scholar] [CrossRef] [PubMed]
  22. Swingler, T.E.; Niu, L.; Pontifex, M.G.; Vauzour, D.; Clark, I.M. The microRNA-455 Null Mouse Has Memory Deficit and Increased Anxiety, Targeting Key Genes Involved in Alzheimer’s Disease. Int. J. Mol. Sci. 2022, 23, 554. [Google Scholar] [CrossRef] [PubMed]
  23. Sheikh, A.M.; Wada, Y.; Tabassum, S.; Inagaki, S.; Mitaki, S.; Yano, S.; Nagai, A. Aggregation of Cystatin C Changes Its Inhibitory Functions on Protease Activities and Amyloid β Fibril Formation. Int. J. Mol. Sci. 2021, 22, 9682. [Google Scholar] [CrossRef] [PubMed]
  24. Fernandes, T.; Resende, R.; Silva, D.F.; Marques, A.P.; Santos, A.E.; Cardoso, S.M.; Domingues, M.R.; Moreira, P.I.; Pereira, C.F. Structural and Functional Alterations in Mitochondria-Associated Membranes (MAMs) and in Mitochondria Activate Stress Response Mechanisms in an In Vitro Model of Alzheimer’s Disease. Biomedicines 2021, 9, 881. [Google Scholar] [CrossRef] [PubMed]
  25. Fu, Y.-S.; Yeh, C.-C.; Chu, P.-M.; Chang, W.-H.; Lin, M.-Y.A.; Lin, Y.-Y. Xenograft of Human Umbilical Mesenchymal Stem Cells Promotes Recovery from Chronic Ischemic Stroke in Rats. Int. J. Mol. Sci. 2022, 23, 3149. [Google Scholar] [CrossRef]
  26. Kassab, A.; Rizk, N.; Prakash, S. The Role of Systemic Filtrating Organs in Aging and Their Potential in Rejuvenation Strategies. Int. J. Mol. Sci. 2022, 23, 4338. [Google Scholar] [CrossRef]
  27. Tanaka, M.; Toldi, J.; Vécsei, L. Exploring the Etiological Links behind Neurodegenerative Diseases: Inflammatory Cytokines and Bioactive Kynurenines. Int. J. Mol. Sci. 2020, 21, 2431. [Google Scholar] [CrossRef]
  28. Hsu, Y.-L.; Hung, H.-S.; Tsai, C.-W.; Liu, S.-P.; Chiang, Y.-T.; Kuo, Y.-H.; Shyu, W.-C.; Lin, S.-Z.; Fu, R.-H. Peiminine Reduces ARTS-Mediated Degradation of XIAP by Modulating the PINK1/Parkin Pathway to Ameliorate 6-Hydroxydopamine Toxicity and α-Synuclein Accumulation in Parkinson’s Disease Models In Vivo and In Vitro. Int. J. Mol. Sci. 2021, 22, 10240. [Google Scholar] [CrossRef]
  29. Tsay, H.-J.; Liu, H.-K.; Kuo, Y.-H.; Chiu, C.-S.; Liang, C.-C.; Chung, C.-W.; Chen, C.-C.; Chen, Y.-P.; Shiao, Y.-J. EK100 and Antrodin C Improve Brain Amyloid Pathology in APP/PS1 Transgenic Mice by Promoting Microglial and Perivascular Clearance Pathways. Int. J. Mol. Sci. 2021, 22, 10413. [Google Scholar] [CrossRef]
  30. Kuo, H.-C.; Lee, K.-F.; Chen, S.-L.; Chiu, S.-C.; Lee, L.-Y.; Chen, W.-P.; Chen, C.-C.; Chu, C.-H. Neuron–Microglia Contacts Govern the PGE2 Tolerance through TLR4-Mediated de Novo Protein Synthesis. Biomedicines 2022, 10, 419. [Google Scholar] [CrossRef]
  31. Bezerra, F.; Niemietz, C.; Schmidt, H.H.J.; Zibert, A.; Guo, S.; Monia, B.P.; Gonçalves, P.; Saraiva, M.J.; Almeida, M.R. In Vitro and In Vivo Effects of SerpinA1 on the Modulation of Transthyretin Proteolysis. Int. J. Mol. Sci. 2021, 22, 9488. [Google Scholar] [CrossRef] [PubMed]
  32. Bellon, A.; Hasoglu, T.; Peterson, M.; Gao, K.; Chen, M.; Blandin, E.; Cortez-Resendiz, A.; Clawson, G.A.; Hong, L.E. Optimization of Neurite Tracing and Further Characterization of Human Monocyte-Derived-Neuronal-like Cells. Brain Sci. 2021, 11, 1372. [Google Scholar] [CrossRef] [PubMed]
  33. Jeong, W.-H.; Kim, W.-I.; Lee, J.-W.; Park, H.-K.; Song, M.-K.; Choi, I.-S.; Han, J.-Y. Modulation of Long-Term Potentiation by Gamma Frequency Transcranial Alternating Current Stimulation in Transgenic Mouse Models of Alzheimer’s Disease. Brain Sci. 2021, 11, 1532. [Google Scholar] [CrossRef] [PubMed]
  34. Chen, Y.; Lin, J.; Schlotterer, A.; Kurowski, L.; Hoffmann, S.; Hammad, S.; Dooley, S.; Buchholz, M.; Hu, J.; Fleming, I.; et al. MicroRNA-124 Alleviates Retinal Vasoregression via Regulating Microglial Polarization. Int. J. Mol. Sci. 2021, 22, 11068. [Google Scholar] [CrossRef]
  35. Quirant-Sánchez, B.; Mansilla, M.J.; Navarro-Barriuso, J.; Presas-Rodríguez, S.; Teniente-Serra, A.; Fondelli, F.; Ramo-Tello, C.; Martínez-Cáceres, E. Combined Therapy of Vitamin D3-Tolerogenic Dendritic Cells and Interferon-β in a Preclinical Model of Multiple Sclerosis. Biomedicines 2021, 9, 1758. [Google Scholar] [CrossRef] [PubMed]
  36. Polyák, H.; Galla, Z.; Nánási, N.; Cseh, E.K.; Rajda, C.; Veres, G.; Spekker, E.; Szabó, Á.; Klivényi, P.; Tanaka, M.; et al. The Tryptophan-Kynurenine Metabolic System Is Suppressed in Cuprizone-Induced Model of Demyelination Simulating Progressive Multiple Sclerosis. Biomedicines 2023, 11, 945. [Google Scholar] [CrossRef]
  37. Tanaka, M.; Vécsei, L. Monitoring the Redox Status in Multiple Sclerosis. Biomedicines 2020, 8, 406. [Google Scholar] [CrossRef]
  38. de Oliveira, M.; Santinelli, F.B.; Lisboa-Filho, P.N.; Barbieri, F.A. The Blood Concentration of Metallic Nanoparticles Is Related to Cognitive Performance in People with Multiple Sclerosis: An Exploratory Analysis. Biomedicines 2023, 11, 1819. [Google Scholar] [CrossRef]
  39. Parolini, F.; Goethel, M.; Becker, K.; Fernandes, C.; Fernandes, R.J.; Ervilha, U.F.; Santos, R.; Vilas-Boas, J.P. Breaking Barriers: Artificial Intelligence Interpreting the Interplay between Mental Illness and Pain as Defined by the International Association for the Study of Pain. Biomedicines 2023, 11, 2042. [Google Scholar] [CrossRef]
  40. Liu, N.; Li, Y.; Hong, Y.; Huo, J.; Chang, T.; Wang, H.; Huang, Y.; Li, W.; Zhang, Y. Altered brain activities in mesocorticolimbic pathway in primary dysmenorrhea patients of long-term menstrual pain. Front. Neurosci. 2023, 17, 1098573. [Google Scholar] [CrossRef]
  41. Crosstalk between Depression, Anxiety, Dementia, and Chronic Pain: Comorbidity in Behavioral Neurology and Neuropsychiatry 2.0. Available online: https://www.mdpi.com/journal/biomedicines/special_issues/neuropsychiatry_2 (accessed on 5 October 2023).
  42. Tajti, J.; Szok, D.; Csáti, A.; Szabó, Á.; Tanaka, M.; Vécsei, L. Exploring Novel Therapeutic Targets in the Common Pathogenic Factors in Migraine and Neuropathic Pain. Int. J. Mol. Sci. 2023, 24, 4114. [Google Scholar] [CrossRef] [PubMed]
  43. Leone, G.E.; Shields, D.C.; Haque, A.; Banik, N.L. Rehabilitation: Neurogenic Bone Loss after Spinal Cord Injury. Biomedicines 2023, 11, 2581. [Google Scholar] [CrossRef] [PubMed]
  44. Spekker, E.; Tanaka, M.; Szabó, Á.; Vécsei, L. Neurogenic Inflammation: The Participant in Migraine and Recent Advancements in Translational Research. Biomedicines 2022, 10, 76. [Google Scholar] [CrossRef] [PubMed]
  45. Lamoine, S.; Cumenal, M.; Barriere, D.A.; Pereira, V.; Fereyrolles, M.; Prival, L.; Barbier, J.; Boudieu, L.; Brasset, E.; Bertin, B.; et al. The Class I HDAC Inhibitor, MS-275, Prevents Oxaliplatin-Induced Chronic Neuropathy and Potentiates Its Antiproliferative Activity in Mice. Int. J. Mol. Sci. 2022, 23, 98. [Google Scholar] [CrossRef]
  46. Thabault, M.; Turpin, V.; Maisterrena, A.; Jaber, M.; Egloff, M.; Galvan, L. Cerebellar and Striatal Implications in Autism Spectrum Disorders: From Clinical Observations to Animal Models. Int. J. Mol. Sci. 2022, 23, 2294. [Google Scholar] [CrossRef]
  47. Lee, G.A.; Lin, Y.-K.; Lai, J.-H.; Lo, Y.-C.; Yang, Y.-C.S.H.; Ye, S.-Y.; Lee, C.-J.; Wang, C.-C.; Chiang, Y.-H.; Tseng, S.-H. Maternal Immune Activation Causes Social Behavior Deficits and Hypomyelination in Male Rat Offspring with an Autism-Like Microbiota Profile. Brain Sci. 2021, 11, 1085. [Google Scholar] [CrossRef]
  48. Abuaish, S.; Al-Otaibi, N.M.; Abujamel, T.S.; Alzahrani, S.A.; Alotaibi, S.M.; AlShawakir, Y.A.; Aabed, K.; El-Ansary, A. Fecal Transplant and Bifidobacterium Treatments Modulate Gut Clostridium Bacteria and Rescue Social Impairment and Hippocampal BDNF Expression in a Rodent Model of Autism. Brain Sci. 2021, 11, 1038. [Google Scholar] [CrossRef]
  49. Wei, Z.; Chen, Y.; Upender, R.P. Sleep Disturbance and Metabolic Dysfunction: The Roles of Adipokines. Int. J. Mol. Sci. 2022, 23, 1706. [Google Scholar] [CrossRef]
  50. Garro-Martínez, E.; Fullana, M.N.; Florensa-Zanuy, E.; Senserrich, J.; Paz, V.; Ruiz-Bronchal, E.; Adell, A.; Castro, E.; Díaz, Á.; Pazos, Á.; et al. mTOR Knockdown in the Infralimbic Cortex Evokes A Depressive-like State in Mouse. Int. J. Mol. Sci. 2021, 22, 8671. [Google Scholar] [CrossRef]
  51. Palotai, M.; Telegdy, G.; Ekwerike, A.; Jászberényi, M. The action of orexin B on passive avoidance learning. Involv. Neurotransm. Behav. Brain Res. 2014, 272, 1–7. [Google Scholar] [CrossRef]
  52. Palotai, M.; Telegdy, G.; Jászberényi, M. Orexin A-induced anxiety-like behavior is mediated through GABA-ergic, α- and β-adrenergic neurotransmissions in mice. Peptides 2014, 57, 129–134. [Google Scholar] [CrossRef] [PubMed]
  53. Bagosi, Z.; Palotai, M.; Simon, B.; Bokor, P.; Buzás, A.; Balangó, B.; Pintér, D.; Jászberényi, M.; Csabafi, K.; Szabó, G. Selective CRF2 receptor agonists ameliorate the anxiety- and depression-like state developed during chronic nicotine treatment and consequent acute withdrawal in mice. Brain Res. 2016, 1652, 21–29. [Google Scholar] [CrossRef] [PubMed]
  54. Bagosi, Z.; Csabafi, K.; Palotai, M.; Jászberényi, M.; Földesi, I.; Gardi, J.; Szabó, G.; Telegdy, G. The effect of urocortin I on the hypothalamic ACTH secretagogues and its impact on the hypothalamic-pituitary-adrenal axis. Neuropeptides 2014, 48, 15–20. [Google Scholar] [CrossRef] [PubMed]
  55. Bagosi, Z.; Czébely-Lénárt, A.; Karasz, G.; Csabafi, K.; Jászberényi, M.; Telegdy, G. The effects of CRF and urocortins on the preference for social novelty of mice. Behav. Brain Res. 2017, 324, 146–154. [Google Scholar] [CrossRef]
  56. Hakamata, Y.; Hori, H.; Mizukami, S.; Izawa, S.; Yoshida, F.; Moriguchi, Y.; Hanakawa, T.; Inoue, Y.; Tagaya, H. Blunted diurnal interleukin-6 rhythm is associated with amygdala emotional hyporeactivity and depression: A modulating role of gene-stressor interactions. Front. Psychiatry 2023, 14, 1196235. [Google Scholar] [CrossRef]
  57. Salafutdinov, I.I.; Gatina, D.Z.; Markelova, M.I.; Garanina, E.E.; Malanin, S.Y.; Gazizov, I.M.; Izmailov, A.A.; Rizvanov, A.A.; Islamov, R.R.; Palotás, A.; et al. A Biosafety Study of Human Umbilical Cord Blood Mononuclear Cells Transduced with Adenoviral Vector Carrying Human Vascular Endothelial Growth Factor cDNA In Vitro. Biomedicines 2023, 11, 2020. [Google Scholar] [CrossRef]
  58. Ikonnikova, A.; Anisimova, A.; Galkin, S.; Gunchenko, A.; Abdukhalikova, Z.; Filippova, M.; Surzhikov, S.; Selyaeva, L.; Shershov, V.; Zasedatelev, A.; et al. Genetic Association Study and Machine Learning to Investigate Differences in Platelet Reactivity in Patients with Acute Ischemic Stroke Treated with Aspirin. Biomedicines 2022, 10, 2564. [Google Scholar] [CrossRef]
  59. Rajkumar, R.P. Comorbid depression and anxiety: Integration of insights from attachment theory and cognitive neuroscience, and their implications for research and treatment. Front. Behav. Neurosci. 2022, 16, 1104928. [Google Scholar] [CrossRef]
  60. Ironside, M.; DeVille, D.C.; Kuplicki, R.T.; Burrows, K.P.; Smith, R.; Teed, A.R.; Paulus, M.P.; Khalsa, S.S. The unique face of comorbid anxiety and depression: Increased interoceptive fearfulness and reactivity. Front. Behav. Neurosci. 2023, 16, 1083357. [Google Scholar] [CrossRef]
  61. Yoshimura, R.; Okamoto, N.; Chibaatar, E.; Natsuyama, T.; Ikenouchi, A. The Serum Brain-Derived Neurotrophic Factor Increases in Serotonin Reuptake Inhibitor Responders Patients with First-Episode, Drug-Naïve Major Depression. Biomedicines 2023, 11, 584. [Google Scholar] [CrossRef]
  62. Tortora, F.; Hadipour, A.L.; Battaglia, S.; Falzone, A.; Avenanti, A.; Vicario, C.M. The Role of Serotonin in Fear Learning and Memory: A Systematic Review of Human Studies. Brain Sci. 2023, 13, 1197. [Google Scholar] [CrossRef]
  63. Battaglia, M.R.; Di Fazio, C.; Battaglia, S. Activated Tryptophan-Kynurenine metabolic system in the human brain is associated with learned fear. Front. Mol. Neurosci. 2023, 16, 1217090. [Google Scholar] [CrossRef] [PubMed]
  64. Tanaka, M.; Török, N.; Vécsei, L. Novel Pharmaceutical Approaches in Dementia. In NeuroPsychopharmacotherapy; Riederer, P., Laux, G., Nagatsu, T., Le, W., Riederer, C., Eds.; Springer: Cham, Switzerland, 2021. [Google Scholar]
  65. Battaglia, S.; Di Fazio, C.; Vicario, C.M.; Avenanti, A. Neuropharmacological Modulation of N-methyl-D-aspartate, Noradrenaline and Endocannabinoid Receptors in Fear Extinction Learning: Synaptic Transmission and Plasticity. Int. J. Mol. Sci. 2023, 24, 5926. [Google Scholar] [CrossRef] [PubMed]
  66. Battaglia, S.; Nazzi, C.; Thayer, J.F. Heart’s tale of trauma: Fear-conditioned heart rate changes in post-traumatic stress disorder. Acta Psychiatr. Scand. 2023, in press. [CrossRef] [PubMed]
  67. Di Gregorio, F.; Battaglia, S. Advances in EEG-based functional connectivity approaches to the study of the central nervous system in health and disease. Adv. Clin. Exp. Med. 2023, 32, 607–612. [Google Scholar] [CrossRef]
  68. Battaglia, S.; Nazzi, C.; Thayer, J.F. Fear-induced bradycardia in mental disorders: Foundations, current advances, future perspectives. Neurosci. Biobehav. Rev. 2023, 149, 105163. [Google Scholar] [CrossRef]
  69. Tanaka, M.; Chen, C. Editorial: Towards a mechanistic understanding of depression, anxiety, and their comorbidity: Perspectives from cognitive neuroscience. Front. Behav. Neurosci. 2023, 17, 1268156. [Google Scholar] [CrossRef]
  70. Tanaka, M.; Bohár, Z.; Vécsei, L. Are Kynurenines Accomplices or Principal Villains in Dementia? Maintenance of Kynurenine Metabolism. Molecules 2020, 25, 564. [Google Scholar] [CrossRef]
  71. Manuello, J.; Costa, T.; Cauda, F.; Liloia, D. Six actions to improve detection of critical features for neuroimaging coordinate-based meta-analysis preparation. Neurosci. Biobehav. Rev. 2022, 137, 104659. [Google Scholar] [CrossRef]
  72. Nani, A.; Manuello, J.; Mancuso, L.; Liloia, D.; Costa, T.; Vercelli, A.; Duca, S.; Cauda, F. The pathoconnectivity network analysis of the insular cortex: A morphometric fingerprinting. Neuroimage 2021, 225, 117481. [Google Scholar] [CrossRef]
  73. Liloia, D.; Crocetta, A.; Cauda, F.; Duca, S.; Costa, T.; Manuello, J. Seeking Overlapping Neuroanatomical Alterations between Dyslexia and Attention-Deficit/Hyperactivity Disorder: A Meta-Analytic Replication Study. Brain Sci. 2022, 12, 1367. [Google Scholar] [CrossRef] [PubMed]
  74. Kim, B.H.; Kim, S.H.; Han, C.; Jeong, H.G.; Lee, M.S.; Kim, J. Antidepressant-induced mania in panic disorder: A single-case study of clinical and functional connectivity characteristics. Front. Psychiatry 2023, 14, 1205126. [Google Scholar] [CrossRef] [PubMed]
  75. Zakia, H.; Iskandar, S. Case report: Depressive disorder with peripartum onset camouflages suspected intracranial tuberculoma. Front. Psychiatry 2022, 13, 932635. [Google Scholar] [CrossRef] [PubMed]
  76. Liloia, D.; Cauda, F.; Uddin, L.Q.; Manuello, J.; Mancuso, L.; Keller, R.; Nani, A.; Costa, T. Revealing the Selectivity of Neuroanatomical Alteration in Autism Spectrum Disorder via Reverse Inference. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 2022. [Google Scholar] [CrossRef] [PubMed]
  77. Zhou, J.; Cao, Y.; Deng, G.; Fang, J.; Qiu, C. Transient splenial lesion syndrome in bipolar-II disorder: A case report highlighting reversible brain changes during hypomanic episodes. Front. Psychiatry 2023, 14, 1219592. [Google Scholar] [CrossRef] [PubMed]
  78. Liloia, D.; Brasso, C.; Cauda, F.; Mancuso, L.; Nani, A.; Manuello, J.; Costa, T.; Duca, S.; Rocca, P. Updating and characterizing neuroanatomical markers in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate-based meta-analysis. Neurosci. Biobehav. Rev. 2021, 123, 83–103. [Google Scholar] [CrossRef]
  79. Ippolito, G.; Bertaccini, R.; Tarasi, L.; Di Gregorio, F.; Trajkovic, J.; Battaglia, S.; Romei, V. The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research. Biomedicines 2022, 10, 3189. [Google Scholar] [CrossRef]
  80. Di Gregorio, F.; La Porta, F.; Petrone, V.; Battaglia, S.; Orlandi, S.; Ippolito, G.; Romei, V.; Piperno, R.; Lullini, G. Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach. Biomedicines 2022, 10, 1897. [Google Scholar] [CrossRef]
  81. Battaglia, S.; Cardellicchio, P.; Di Fazio, C.; Nazzi, C.; Fracasso, A.; Borgomaneri, S. The Influence of Vicarious Fear-Learning in “Infecting” Reactive Action Inhibition. Front. Behav. Neurosci. 2022, 16, 946263. [Google Scholar] [CrossRef]
  82. Baliellas, D.E.M.; Barros, M.P.; Vardaris, C.V.; Guariroba, M.; Poppe, S.C.; Martins, M.F.; Pereira, Á.A.F.; Bondan, E.F. Propentofylline Improves Thiol-Based Antioxidant Defenses and Limits Lipid Peroxidation following Gliotoxic Injury in the Rat Brainstem. Biomedicines 2023, 11, 1652. [Google Scholar] [CrossRef]
  83. Park, S.Y.; Lee, S.P.; Kim, D.; Kim, W.J. Gut Dysbiosis: A New Avenue for Stroke Prevention and Therapeutics. Biomedicines 2023, 11, 2352. [Google Scholar] [CrossRef] [PubMed]
  84. Younes, R.; Issa, Y.; Jdaa, N.; Chouaib, B.; Brugioti, V.; Challuau, D.; Raoul, C.; Scamps, F.; Cuisinier, F.; Hilaire, C. The Secretome of Human Dental Pulp Stem Cells and Its Components GDF15 and HB-EGF Protect Amyotrophic Lateral Sclerosis Motoneurons against Death. Biomedicines 2023, 11, 2152. [Google Scholar] [CrossRef] [PubMed]
  85. Nasini, S.; Tidei, S.; Shkodra, A.; De Gregorio, D.; Cambiaghi, M.; Comai, S. Age-Related Effects of Exogenous Melatonin on Anxiety-like Behavior in C57/B6J Mice. Biomedicines 2023, 11, 1705. [Google Scholar] [CrossRef] [PubMed]
  86. Chen, B.; Hasan, M.M.; Zhang, H.; Zhai, Q.; Waliullah, A.S.M.; Ping, Y.; Zhang, C.; Oyama, S.; Mimi, M.A.; Tomochika, Y.; et al. UBL3 Interacts with Alpha-Synuclein in Cells and the Interaction Is Downregulated by the EGFR Pathway Inhibitor Osimertinib. Biomedicines 2023, 11, 1685. [Google Scholar] [CrossRef]
  87. Inoue, G.; Ohtaki, Y.; Satoh, K.; Odanaka, Y.; Katoh, A.; Suzuki, K.; Tomita, Y.; Eiraku, M.; Kikuchi, K.; Harano, K.; et al. Sedation Therapy in Intensive Care Units: Harnessing the Power of Antioxidants to Combat Oxidative Stress. Biomedicines 2023, 11, 2129. [Google Scholar] [CrossRef]
  88. Li, J.; Li, C.; Subedi, P.; Tian, X.; Lu, X.; Miriyala, S.; Panchatcharam, M.; Sun, H. Light Alcohol Consumption Promotes Early Neurogenesis Following Ischemic Stroke in Adult C57BL/6J Mice. Biomedicines 2023, 11, 1074. [Google Scholar] [CrossRef]
  89. Cremone, I.M.; Nardi, B.; Amatori, G.; Palego, L.; Baroni, D.; Casagrande, D.; Massimetti, E.; Betti, L.; Giannaccini, G.; Dell’Osso, L.; et al. Unlocking the Secrets: Exploring the Biochemical Correlates of Suicidal Thoughts and Behaviors in Adults with Autism Spectrum Conditions. Biomedicines 2023, 11, 1600. [Google Scholar] [CrossRef]
  90. Balogh, L.; Tanaka, M.; Török, N.; Vécsei, L.; Taguchi, S. Crosstalk between Existential Phenomenological Psychotherapy and Neurological Sciences in Mood and Anxiety Disorders. Biomedicines 2021, 9, 340. [Google Scholar] [CrossRef]
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Tanaka, M.; Szabó, Á.; Vécsei, L.; Giménez-Llort, L. Emerging Translational Research in Neurological and Psychiatric Diseases: From In Vitro to In Vivo Models. Int. J. Mol. Sci. 2023, 24, 15739. https://doi.org/10.3390/ijms242115739

AMA Style

Tanaka M, Szabó Á, Vécsei L, Giménez-Llort L. Emerging Translational Research in Neurological and Psychiatric Diseases: From In Vitro to In Vivo Models. International Journal of Molecular Sciences. 2023; 24(21):15739. https://doi.org/10.3390/ijms242115739

Chicago/Turabian Style

Tanaka, Masaru, Ágnes Szabó, László Vécsei, and Lydia Giménez-Llort. 2023. "Emerging Translational Research in Neurological and Psychiatric Diseases: From In Vitro to In Vivo Models" International Journal of Molecular Sciences 24, no. 21: 15739. https://doi.org/10.3390/ijms242115739

APA Style

Tanaka, M., Szabó, Á., Vécsei, L., & Giménez-Llort, L. (2023). Emerging Translational Research in Neurological and Psychiatric Diseases: From In Vitro to In Vivo Models. International Journal of Molecular Sciences, 24(21), 15739. https://doi.org/10.3390/ijms242115739

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