Abstract
22q11.2 Deletion syndrome (22q11DS) is the most common known recurrent copy-number variant disorder. It is also the most common known genetic risk factor for schizophrenia. The greater homogeneity of subjects with schizophrenia in 22q11DS compared with schizophrenia in the wider non-deleted population may help to identify much needed information on neuroanatomical substrates, and neurochemical and neurofunctional mechanisms that may modulate the risk for schizophrenia. Identification of the underlying pathophysiology creates opportunities for developing genotypespecific, biology-based and targeted treatments to prevent, delay or minimize the severity of schizophrenia in both 22q11DS and the wider non-deleted population. This article reviews neuroimaging studies that focused on brain structure and function in this high-risk population, with particular attention to schizophrenia research. We also discuss the evidence on the role of candidate genes within the 22q11.2 region, with particular reference to catechol-O-methyl transferase (COMT) and proline dehydrogenase (PRODH).
Keywords: 22q11.2 Deletion syndrome, velocardiofacial syndrome, schizophrenia, psychosis, neuroimaging.
Call for Papers in Thematic Issues
Adaptogens—History and Future Perspectives
Adaptogens are pharmacologically active compounds or plant extracts that are associated with the ability to enhance the body’s stability against stress. The intake of adaptogens is associated not only with a better ability to adapt to stress and maintain or normalise metabolic functions but also with better mental and physical ...read more
AlphaFold in Medicinal Chemistry: Opportunities and Challenges
AlphaFold, a groundbreaking AI tool for protein structure prediction, is revolutionizing drug discovery. Its near-atomic accuracy unlocks new avenues for designing targeted drugs and performing efficient virtual screening. However, AlphaFold's static predictions lack the dynamic nature of proteins, crucial for understanding drug action. This is especially true for multi-domain proteins, ...read more
Artificial intelligence for Natural Products Discovery and Development
Our approach involves using computational methods to predict the potential therapeutic benefits of natural products by considering factors such as drug structure, targets, and interactions. We also employ multitarget analysis to understand the role of drug targets in disease pathways. We advocate for the use of artificial intelligence in predicting ...read more
Challenges, Consequences and Possible Treatments of Anticancer Drug Discovery ll
The use of several compounds has been the subject of increasing interest in phytochemistry, biochemistry, and other fields of research at the chemistry-biology-ecosystems interface. In spite of the continued search for new anticancer drugs, cancer remains a leading cause of death. Cancer mortalities are expected to increase to 12.9 million, ...read more
Related Journals
Anti-Cancer Agents in Medicinal Chemistry
Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry
Current Bioactive Compounds
Current Cancer Drug Targets
Combinatorial Chemistry & High Throughput Screening
Current Cancer Therapy Reviews
Current Diabetes Reviews
Current Drug Safety
Current Drug Targets
Current Drug Therapy
Related Books
Herbs for Disease Prevention and Treatment
Anthocyanins: Pharmacology and Nutraceutical Importance
Herbal Medicine for Autoimmune Diseases
Therapeutic Insights into Herbal Medicine through the Use of Phytomolecules
The Roles and Responsibilities of Clinical Pharmacists in Hospital Settings
Bioactive Compounds from Medicinal Plants for Cancer Therapy and Chemoprevention
Science of Spices and Culinary Herbs - Latest Laboratory, Pre-clinical, and Clinical Studies
The Chemistry inside Spices & Herbs: Research and Development
The Chemistry inside Spices & Herbs: Research and Development
Drug Addiction Mechanisms in the Brain
37