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1.
Psychiatry Res Neuroimaging ; 344: 111870, 2024 Aug 08.
Artigo em Inglês | MEDLINE | ID: mdl-39142172

RESUMO

Schizophrenia is a persistent neurological disorder profoundly affecting cognitive, emotional, and behavioral functions, prominently characterized by delusions, hallucinations, disordered speech, and abnormal motor activity. These symptoms often present diagnostic challenges due to their overlap with other forms of psychosis. Therefore, the implementation of automated diagnostic methodologies is imperative. This research leverages Functional Magnetic Resonance Imaging (fMRI), a neuroimaging modality capable of delineating functional activations across diverse brain regions. Furthermore, the utilization of evolving machine learning techniques for fMRI data analysis has significantly progressive. Here, our study stands as a novel attempt, focusing on the comprehensive assessment of both classical and atypical symptoms of schizophrenia. We aim to uncover associated changes in brain functional activity. Our study encompasses two distinct fMRI datasets (1.5T and 3T), each comprising 34 schizophrenia patients for the 1.5T dataset and 25 schizophrenia patients for the 3T dataset, along with an equal number of healthy controls. Machine learning algorithms are applied to assess data subsets, enabling an in-depth evaluation of the current functional condition concerning symptom impact. The identified voxels contribute to determining the brain regions most influenced by each symptom, as quantified by symptom intensity. This rigorous approach has yielded various new findings while maintaining an impressive classification accuracy rate of 97 %. By elucidating variations in activation patterns across multiple brain regions in individuals with schizophrenia, this study contributes to the understanding of functional brain changes associated with the disorder. The insights gained may inform differential clinical interventions and provide a means of assessing symptom severity accurately, offering new avenues for the management of schizophrenia.

2.
Plant Physiol Biochem ; 211: 108674, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-38705044

RESUMO

Plants produce a diverse range of secondary metabolites that serve as defense compounds against a wide range of biotic and abiotic stresses. In addition, their potential curative attributes in addressing various human diseases render them valuable in the development of pharmaceutical drugs. Different secondary metabolites including phenolics, terpenes, and alkaloids have been investigated for their antioxidant and therapeutic potential. A vast number of studies evaluated the specific compounds that possess crucial medicinal properties (such as antioxidative, anti-inflammatory, anticancerous, and antibacterial), their mechanisms of action, and potential applications in pharmacology and medicine. Therefore, an attempt has been made to characterize the secondary metabolites studied in medicinal plants, a brief overview of their biosynthetic pathways and mechanisms of action along with their signaling pathways by which they regulate various oxidative stress-related diseases in humans. Additionally, the biotechnological approaches employed to enhance their production have also been discussed. The outcome of the present review will lead to the development of novel and effective phytomedicines in the treatment of various ailments.


Assuntos
Compostos Fitoquímicos , Plantas Medicinais , Metabolismo Secundário , Humanos , Alcaloides/metabolismo , Antioxidantes/metabolismo , Fenóis/metabolismo , Plantas/metabolismo , Plantas Medicinais/química , Plantas Medicinais/metabolismo , Terpenos/metabolismo , Compostos Fitoquímicos/uso terapêutico
3.
Plant Physiol Biochem ; 196: 1065-1083, 2023 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-36921557

RESUMO

Adverse environmental constraints such as drought, heat, cold, salinity, and heavy metal toxicity are the primary concerns of the agricultural industry across the globe, as these stresses negatively affect yield and quality of crop production and therefore can be a major threat to world food security. Recently, it has been demonstrated that hydrogen sulfide (H2S), which is well-known as a gasotransmitter in animals, also plays a potent role in various growth and developmental processes in plants. H2S, as a potent signaling molecule, is involved in several plant processes such as in the regulation of stomatal pore movements, seed germination, photosynthesis and plant adaptation to environmental stress through gene regulation, post-translation modification of proteins and redox homeostasis. Moreover, a number of experimental studies have revealed that H2S could improve the adaptation capabilities of plants against diverse environmental constraints by mitigating the toxic and damaging effects triggered by stressful environments. An attempt has been made to uncover recent development in the biosynthetic and metabolic pathways of H2S and various physiological functions modulated in plants, H2S donors, their functional mechanism, and application in plants. Specifically, our focus has been on how H2S is involved in combating the destructive effects of abiotic stresses and its role in persulfidation. Furthermore, we have comprehensively elucidated the crosstalk of H2S with plant growth regulators.


Assuntos
Gasotransmissores , Sulfeto de Hidrogênio , Reguladores de Crescimento de Plantas/metabolismo , Sulfeto de Hidrogênio/metabolismo , Estresse Fisiológico , Plantas/metabolismo , Gasotransmissores/metabolismo
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