Main interactions of dopamine and risperidone with the dopamine D2 receptor

Antidopaminergic medications in Huntington's disease

Huntington's disease (HD) is a progressive neurodegenerative disorder marked by motor, cognitive, and behavioral impairments. Antidopaminergic medications (ADMs), such as VMAT2 inhibitors and antipsychotics, are commonly used to manage HD motor disturbances and behavioral disorders. For patients and caregivers, ADMs are an important tool for managing symptoms that negatively affect daily life. However, the impact of ADM use in HD is not firmly understood due to a lack of robust, systematic studies that assessed their overall effect on HD disease. A mounting body of evidence suggests these medications may be associated with worse clinical measures of cognitive function and functional impairment. While regulatory guidelines highlight adverse effects like sedation, cognitive dysfunction, and extrapyramidal symptoms, it is unclear whether ADMs directly impact disease progression or if the side effects mimic or exacerbate measures of HD symptoms in clinical trials. Given ADM effects on the central nervous system and biological uncertainty within HD outcomes, clinical trial designs should recognize the impact of ADMs on key outcomes, as measured by acceptable scales including Total Functional Capacity, Stoop Word Reading, Symbol Digit Modality Test, and the composite Unified Huntington's Disease Rating Scale. The development of novel HD interventions requires consideration of concomitant ADM use that may influence measures of disease presentation. In this review, we highlight the role of ADMs in HD management, their symptomatic benefits and potential risks, especially with high dose associated side effects, interactions with CYP2D6 inhibitors, and the individualized need for careful dose monitoring for clinical care and trial design.

Effect of comprehensive intervention model based on drug-psychology-society-skills on medication compliance and cognitive ability of chronic schizophrenia patients

BACKGROUND

The intervention value of a drug-psycho-social-skill model on medication compliance and cognitive ability in patients with chronic schizophrenia was unknown.

AIM

To explore the intervention value of a drug-psycho-social-skill model on medication compliance and cognitive ability in patients with chronic schizophrenia.

METHODS

Overall, 98 out-patients and in-patients with chronic schizophrenia treated in our hospital from February 2022 to January 2023 were included and randomly divided into the study (50 patients) and control groups (48 patients). For 3 months, the control group was treated with conventional drugs, and the research group with a comprehensive intervention model of drug-psychology-society-skills. Data were obtained for the mini mental assessment scale (MMSE), Montreal cognitive assessment scale (MoCA), positive and negative symptom scale, insight and treatment attitude scale, cognitive ability scale and social skills [personal and social function scale (PSP)]. The adverse reactions were observed.

RESULTS

After the intervention, the MMSE and MoCA scores improved in both groups. MoCA scores in the study group (26.58 ± 3.21) were significantly (P < 0.05) higher than those in the control group (24.68 ± 3.02), MMSE scores were not significantly higher. Post-intervention, positive and negative symptom scores improved in both groups, and the positive and negative symptom scores in the study group [(12.01 ± 2.58) and (32.51 ± 2.11)] were significantly (P < 0.05) different than those in the control group [(14.54 ± 2.33) and (33.74 ± 2.55)]. Post-intervention, insight and treatment attitudes questionnaire scores of both groups were improved and compared with the control group (7.97 ± 3.02), the study group (13.56 ± 6.35) had significantly (P < 0.05) higher scores. Post-intervention, the MATRICS consensus cognitive battery score of both groups was improved and compared with the control group (38.44 ± 6.23), the score of the study group was significantly (P < 0.05) increased (43.51 ± 6.01). Post-intervention, the PSP score of the study group (78.38 ± 6.63) was significantly (P < 0.05) higher than that of the control group (74.52 ± 7.01). During the intervention period, the incidence of adverse reactions in the study group was 6.25%, not significantly different from that in the control group (8.33%). During the intervention, both groups experienced adverse reactions, with no significant difference between groups (P > 0.05).

CONCLUSION

The comprehensive intervention model based on drug-psychology-society-skills has obvious intervention effects on patients with chronic schizophrenia, which improves their cognitive ability and reduces their positive and negative symptoms. Simultaneously, it improves the self-knowledge of patients, improves their attitude toward treatment, effectively promotes the recovery of patients' social functions, and is safe. Therefore, it is worthy of being vigorously promoted and widely used in clinics.

Computational tools to study non-covalent interactions and confinement effects in chemical systems

Confinement is a very common phenomenon in chemistry, for example, when molecules are located inside cavities. In these conditions, the electronic structure of atoms and molecules is modified. These changes could be mapped through the interaction with other molecules since non-covalent interactions between molecules are also influenced by confinement. In this work we address both topics, non-covalent interactions, and confined systems, using quantum chemistry tools with new software, emphasizing the importance of analyzing both fields simultaneously.

Toward Universal Substituent Constants: Relating QTAIM Functional Group Descriptors to Substituent Effect Proxies

Substituents modulate reactions, but their effects are commonly described by using proxies to their functional group properties. Substituent descriptors from the quantum theory of atoms in molecules, which are true functional group properties, are related here to these proxies, which have historically had chemically relevant meaning. Due to the large number of descriptors, multivariate analysis is used to intuit their significance. Multiple linear regression, principal component, and partial least squares regression analyses highlight that these substituent descriptors contain similar information to the proxies while being intrinsic, predictable substituent properties. Sources of error limiting quantitative reproduction of the proxy data include transferability, experimental accuracy, and solvation issues.