GABA-Based Target for Alzheimer’s Therapy Identified

Researchers at the University of Galway have found evidence that targeting inhibitory signaling in the brain may help address cognitive dysfunction in Alzheimer’s disease (AD), a finding that runs counter to current therapeutic approaches that focus on influencing excitatory pathways. The research, published in Neuropharmacology, identifies how modulation of gamma-aminobutyric acid (GABA) signaling can restore disrupted neural balance and improve memory-related function in AD disease models.

“Given the ever-increasing burden of Alzheimer’s disease, the urgent need for the identification of novel targets for the development of disease-modifying therapy is clear,” said senior author Andrea Kwakowsky, PhD, associate professor of pharmacology and lead researcher at the School of Medicine, University of Galway.

Alzheimer’s disease is characterized by progressive cognitive impairment and is associated with hallmark pathological features including β-amyloid (Aβ) plaques and neurofibrillary tangles. In addition to these, disruption of the brain’s excitatory/inhibitory (E/I) balance has gained traction as a central mechanism contributing to memory loss. Today, most approved therapies for AD target excitatory neurotransmitter systems such as cholinergic and glutamatergic pathways, but “the symptomatic relief provided by these therapies is only marginal, and the progression or underlying causes of the disease are not addressed,” the researchers noted.

For their work, the University of Galway team instead focused on the inhibitory side of this balance, specifically the role of gamma-aminobutyric acid (GABA), the brain’s main inhibitory neurotransmitter. GABA regulates neuronal activity and is essential for maintaining stable network function and memory processes. In AD, however, E/I balance becomes dysregulated with increased extracellular GABA—triggered in part by Aβ—leading to overactivation of certain GABA receptors, particularly α5-containing GABA type A receptors (α5-GABA ARs), which are abundant in the hippocampus. The result is a dampening of neuronal signaling and which impairs learning and memory.

“Our research is significant in that it demonstrates that if we block this GABA receptor activity in nerve cells we can reverse Alzheimer-like effects caused by amyloid beta and improve cognitive performance,” Kwakowsky said.

To test whether blocking a5-GGABA A could help restore E/I balance, the team investigated α5IA, an α5-GABA AR-selective inverse agonist. α5IA works by reducing the activity of α5-GABA ARs, which decreases excess tonic inhibition. The data showed that in experimental models of AD, the compound improved long-term potentiation (LTP), a mechanism of synaptic plasticity and memory, reduced abnormal inhibitory conductance, and restored spatial memory performance.

Mechanistically, α5IA appears to act by restoring physiological levels of inhibition in the hippocampus which is critical for memory formation. By reducing excessive tonic inhibition, it rebalances E/I signaling, which allows neuronal circuits to function more effectively. “The data presented here suggest that in both ex vivo and in vivo AD models, α5IA improves cognitive function by restoring CA1 tonic inhibition, thereby re-establishing E/I balance and ameliorating the abnormal hippocampal network activity induced by Aβ1-42,” the researchers wrote.

This new study is the latest to indicate that targeting inhibitory neurotransmission could be an effective treatment approach for AD. Earlier research has shown that α5-GABA AR modulation enhances memory and reduces inhibitory signaling in both animal models and humans. But most of these studies have not directly examined the effect of α5IA in chronic neurodegenerative disease models.

The researchers noted there are some limitations to their work, pointing out that while α5IA improved cognitive outcomes, it did not reverse neuronal loss in vivo, suggesting that its effects may be primarily functional rather than neuroprotective at later stages of AD. Also, variability in drug exposure and timing may influence outcomes. Finally long-term use of α5IA has also been associated with safety concerns at high doses, including renal toxicity, so further research is needed to determine toxicity and dosing regimens and limits.

Nonetheless, the implications of this research indicate there is potential to develop new AD therapies that directly target network dysfunction rather than focusing solely on amyloid accumulation or excitatory signaling. By restoring E/I balance, this approach shows the potential to improve cognitive function even when AD pathology has taken root. The findings could also benefit diagnostic methods, as biomarkers of inhibitory dysfunction or altered GABA signaling could help identify patients who would benefit an approach that rebalances E/I signaling.

The post GABA-Based Target for Alzheimer’s Therapy Identified appeared first on Inside Precision Medicine.

<![CDATA[Authoritarian governments are detrimental to mental health. Let’s explore a historic case.]]>

Number of children and maternal mental health in the context of China’s fertility policy transition: the moderating effect of employment status and the mediating effect of family environment

BackgroundHaving more children may be detrimental to maternal mental health during China’s ongoing fertility policy transition. However, under what circumstances and how number of children could be associated with maternal mental health remains understudied in China. This study examined the association between number of children and maternal anxiety and depressive symptoms among mothers of middle school students in Shanghai, China. It also explored the moderating effect of maternal employment status and the mediating effect of family environment.MethodsMothers of students from 7 middle schools in Shanghai were surveyed. In total, 4,215 valid questionnaires were obtained. The survey included sociodemographic information, the Generalized Anxiety Disorder Scale (GAD-7), the Center for Epidemiologic Studies Depression Scale (CES-D), and the Chinese version of the Family Environment Scale (FES-CV). Multiple linear regression analysis was performed to examine the association between number of children and maternal anxiety/depressive symptoms. Model 1 and Model 4 of SPSS PROCESS were then employed to examine the moderating effect of employment status and the mediating effect of family environment.ResultsThe rates of clinically significant anxiety and depressive symptoms among mothers were 13.6% and 17.6%, respectively. The moderating effect of maternal employment status was significant. Among unemployed mothers, number of children was positively associated with both maternal anxiety and depressive symptoms, whereas among employed mothers, number of children was not associated with maternal anxiety or depression. Among unemployed mothers, family environment mediated the association between number of children and maternal anxiety/depressive symptoms through the pathways of family conflict and organization. Among employed mothers, family environment suppressed the association between number of children and maternal anxiety/depressive symptoms through the pathways of family conflict, intellectual-cultural orientation, organization, control, and independence.ConclusionOur findings suggest that number of children per se is not necessarily associated with worsened maternal mental health. Instead, the potential changes in employment participation and family environment that accompany having more children may be more relevant. Therefore, stakeholders, clinicians, and researchers should therefore focus on these aspects when addressing maternal mental health.

Effect of a nursing-based information–motivation–behavioral model on older patients with type 2 diabetes mellitus

BackgroundOlder patients with type 2 diabetes mellitus (T2DM) frequently encounter challenges, including a diminished capacity for self-management, a high prevalence of negative emotions, and cognitive decline and physiological changes attributable to long-term disease burden, leading to compromised glycemic control and impaired quality of life. Traditional diabetes nursing interventions often lack systematic strategies to address the psychological and cognitive needs specific to this patient population. The Information-Motivation-Behavioral Skills (IMB) model is a theoretical framework designed to promote health behavioral changes; however, research investigating its specific application in regulating psychological state and managing cognitive function in older patients with T2DM remains limited.AimTo investigate the effectiveness of a nursing intervention based on the IMB model in older patients with T2DM.MethodsData from 86 older patients with T2DM were divided into 2 groups: intervention (structured IMB model-based nursing + routine care [n = 43]); and control (conventional T2DM care [n = 43]). Psychological state (Self-Rating Anxiety and Depression Scales [SAS, SDS]), cognitive function (Mini-Mental State Examination [MMSE] and Montreal Cognitive Assessment [MoCA]), glycemic control (fasting blood glucose [FBG], 2 h postprandial blood glucose [2hPBG], and glycated hemoglobin A1c [HbA1c]), and satisfaction with nursing were compared between the 2 groups before and after a three-month intervention.ResultsSAS and SDS scores significantly decreased in both groups after intervention, with a more pronounced reduction in the intervention group (P < 0.05). MMSE and MoCA scores improved in both groups, with significantly higher scores in the intervention group (P < 0.05). Glycemic control (FBG, 2hPBG, and HbA1c) improved substantially in the intervention group (P < 0.05). Satisfaction with nursing among the intervention group (95.35%) was significantly greater than that in the control group (79.07%) (P < 0.05).ConclusionThe IMB model-based nursing intervention alleviates anxiety and depression, improves cognitive function, enhances glycemic control, and increases satisfaction with nursing in older patients with T2DM, thus meriting broader clinical implementation.

Coping under pressure: police-specific stressors and mental health in Catalonia police forces

IntroductionPolice officers are exposed to elevated psychological risks due to both operational and organizational stressors. Additionally, police officers tend to resort to avoidant coping strategies, which exacerbate poor mental health outcomes, such as burnout and PTSD.MethodsThis study aims to examine clinical symptoms (stress, anxiety, depression), coping styles, and perceived stressors among police forces from Catalonia, Spain. A total of 741 officers completed an online survey comprising DASS-21, PSQ-Op, PSQ-Org, Brief COPE and brief open-ended questions. ResultsOverall, both operational and organizational stressors were significant predictors of clinical symptoms, with the latter revealing a more pronounced impact. Avoidant coping emerged as the strongest risk factor for distress, while problem-focused coping emerged as a possible protective factor, especially against depression. Both gender and years of service influenced coping strategies: i) female officers reported higher use of adaptive coping, while male officers scored higher in avoidant coping; and ii) more experienced officers reported lower anxiety symptoms but also lower use of active coping strategies. DiscussionThese findings underscore the importance of addressing both organizational culture and individual-level factors in promoting psychological resilience, while considering gender and career stage to support sustainable mental health within police forces.

Iron dyshomeostasis in neuropsychiatric disorders

Iron is an indispensable element for the normal physiological function of the brain. In terms of neuronal metabolism, iron is involved in multiple critical biological processes such as oxygen transport, energy metabolism, DNA synthesis, neurotransmitter synthesis and myelin formation. Maintaining brain iron homeostasis is crucial for neurodevelopment and function. Iron dyshomeostasis has been associated with the onset and progression of various neuropsychiatric disorders, including Parkinson’s disease, Alzheimer’s disease, depression, schizophrenia, attention deficit hyperactivity disorder, and autism spectrum disorder. In neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease, abnormally elevated iron levels can be detected in specific brain regions, including the basal ganglia and the prefrontal cortex. These changes are often accompanied by pathological processes such as oxidative stress, neuroinflammation, and pathological protein aggregation. Therefore, brain iron metabolism is an important entry point for understanding the pathophysiological process of neuropsychiatric disorders. Mechanistically, iron overload induces oxidative damage through the Fenton reaction, exacerbating mitochondrial dysfunction and abnormal protein aggregation. The effects of iron deficiency vary across different diseases; its impact on myelination and neurotransmitter synthesis may increase the risk of neurodevelopmental disorders such as attention deficit hyperactivity disorder (ADHD), while its effects on immune activation and energy metabolism may contribute to the development of mental disorders such as depression. This article systematically reviews the current research progress of the role of cerebral iron metabolism in neuropsychiatric diseases. It focuses on the mechanisms underlying iron homeostasis imbalances in neurodegenerative and psychiatric diseases. Building on this foundation, the article analyzes the therapeutic targets and clinical significance of iron metabolism-related interventions and outlines future research directions in this field.

Exposure to negative physical and social factors accelerates brain aging

Nature Medicine, Published online: 21 April 2026; doi:10.1038/s41591-026-04348-z

In a study that included 18,701 people from 34 countries, 73 aggregated physical and social exposomes exhibited nonlinear, synergistic effects that accelerated brain aging. In some cases, these effects were comparable to or stronger than those of mild cognitive impairment and dementia. Environmental inequities might shape brain aging and demand multisectoral and structural policy responses.