Selective serotonin reuptake inhibitors and glucose metabolism in Alzheimer's disease and related dementias: A systematic review and meta-analysis of brain metabolic and adverse event data

IF 2.7
Faisal Alzenaidi , Osama Aldoweesh , Salman Alghofaili , Abdulaziz Fadel , Razan Ali Awad Lasloom , Dhay Alharbi , Faris Almalki , Atheer Ahmad Alkhairi , Maram Alharbi , Norah Ahmed Alhamdan , Ahmed Y. Azzam
{"title":"Selective serotonin reuptake inhibitors and glucose metabolism in Alzheimer's disease and related dementias: A systematic review and meta-analysis of brain metabolic and adverse event data","authors":"Faisal Alzenaidi ,&nbsp;Osama Aldoweesh ,&nbsp;Salman Alghofaili ,&nbsp;Abdulaziz Fadel ,&nbsp;Razan Ali Awad Lasloom ,&nbsp;Dhay Alharbi ,&nbsp;Faris Almalki ,&nbsp;Atheer Ahmad Alkhairi ,&nbsp;Maram Alharbi ,&nbsp;Norah Ahmed Alhamdan ,&nbsp;Ahmed Y. Azzam","doi":"10.1016/j.metop.2025.100389","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Selective serotonin reuptake inhibitors (SSRIs) are commonly prescribed for depression in Alzheimer's disease (AD), however their effects on glucose metabolism remain poorly understood. We conducted a systematic review and meta-analysis to evaluate SSRI effects on brain glucose metabolism and metabolic adverse events in AD patients.</div></div><div><h3>Methods</h3><div>Following PRISMA 2020 guidelines, we searched multiple databases up to July 11, 2025 for studies investigating SSRI effects on glucose-related outcomes in AD patients. Despite significant heterogeneity in study designs and populations, we performed meta-analyses for adverse events and coordinate-based meta-analysis for neuroimaging data. We performed meta-analyses for adverse events and coordinate-based meta-analysis for neuroimaging data. Advanced Bayesian hierarchical modeling and Markov simulations projected long-term metabolic outcomes.</div></div><div><h3>Results</h3><div>Twelve studies with total included 7143 participants met our inclusion criteria, including nine randomized controlled trials and three observational studies. Brain FDG-PET revealed SSRI use restored dorsal raphe nucleus hypometabolism (standardized mean difference 0.87, 95 % CI: 0.52–1.22, P-value = 0.001). Meta-analysis demonstrated increased gastrointestinal adverse events (risk ratio 2.15, 95 % CI: 1.68–2.76, P-value&lt;0.001, with moderate between-study heterogeneity), with sertraline showing highest rates. Citalopram 30 mg provided significant weight loss protection (risk ratio 0.13, 95 % CI: 0.02–0.98, P-value = 0.02), though this exceeds the recommended 20 mg maximum dose for elderly patients due to cardiac safety considerations. Long-term diabetes incidence showed no increased risk (hazard ratio 0.75, 95 % CI: 0.50–1.12, P-value = 0.15). Bayesian modeling revealed 85 % probability of beneficial brain metabolic effects and 89 % probability of citalopram superiority for weight protection.</div></div><div><h3>Conclusions</h3><div>SSRIs restore brain glucose metabolism in AD patients while causing manageable peripheral metabolic effects. Citalopram appears the best for weight-sensitive patients, while sertraline requires gastrointestinal monitoring. These findings support SSRI safety for metabolic outcomes in AD treatment, however longer-term studies with controlled metabolic outcomes are needed to confirm our findings. The observed citalopram weight protection benefit was documented at 30 mg daily, which exceeds recommended dosing limits for elderly patients due to cardiac safety concerns.</div></div>","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"27 ","pages":"Article 100389"},"PeriodicalIF":2.7000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metabolism open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589936825000453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction

Selective serotonin reuptake inhibitors (SSRIs) are commonly prescribed for depression in Alzheimer's disease (AD), however their effects on glucose metabolism remain poorly understood. We conducted a systematic review and meta-analysis to evaluate SSRI effects on brain glucose metabolism and metabolic adverse events in AD patients.

Methods

Following PRISMA 2020 guidelines, we searched multiple databases up to July 11, 2025 for studies investigating SSRI effects on glucose-related outcomes in AD patients. Despite significant heterogeneity in study designs and populations, we performed meta-analyses for adverse events and coordinate-based meta-analysis for neuroimaging data. We performed meta-analyses for adverse events and coordinate-based meta-analysis for neuroimaging data. Advanced Bayesian hierarchical modeling and Markov simulations projected long-term metabolic outcomes.

Results

Twelve studies with total included 7143 participants met our inclusion criteria, including nine randomized controlled trials and three observational studies. Brain FDG-PET revealed SSRI use restored dorsal raphe nucleus hypometabolism (standardized mean difference 0.87, 95 % CI: 0.52–1.22, P-value = 0.001). Meta-analysis demonstrated increased gastrointestinal adverse events (risk ratio 2.15, 95 % CI: 1.68–2.76, P-value<0.001, with moderate between-study heterogeneity), with sertraline showing highest rates. Citalopram 30 mg provided significant weight loss protection (risk ratio 0.13, 95 % CI: 0.02–0.98, P-value = 0.02), though this exceeds the recommended 20 mg maximum dose for elderly patients due to cardiac safety considerations. Long-term diabetes incidence showed no increased risk (hazard ratio 0.75, 95 % CI: 0.50–1.12, P-value = 0.15). Bayesian modeling revealed 85 % probability of beneficial brain metabolic effects and 89 % probability of citalopram superiority for weight protection.

Conclusions

SSRIs restore brain glucose metabolism in AD patients while causing manageable peripheral metabolic effects. Citalopram appears the best for weight-sensitive patients, while sertraline requires gastrointestinal monitoring. These findings support SSRI safety for metabolic outcomes in AD treatment, however longer-term studies with controlled metabolic outcomes are needed to confirm our findings. The observed citalopram weight protection benefit was documented at 30 mg daily, which exceeds recommended dosing limits for elderly patients due to cardiac safety concerns.
选择性5 -羟色胺再摄取抑制剂和阿尔茨海默病及相关痴呆的葡萄糖代谢:脑代谢和不良事件数据的系统回顾和荟萃分析
选择性血清素再摄取抑制剂(SSRIs)通常用于阿尔茨海默病(AD)抑郁症,但其对葡萄糖代谢的影响尚不清楚。我们进行了一项系统综述和荟萃分析,以评估SSRI对AD患者脑糖代谢和代谢不良事件的影响。方法:根据PRISMA 2020指南,我们检索了截至2025年7月11日的多个数据库,以调查SSRI对AD患者葡萄糖相关结局的影响。尽管研究设计和人群存在显著的异质性,但我们对不良事件进行了荟萃分析,并对神经影像学数据进行了基于坐标的荟萃分析。我们对不良事件进行了荟萃分析,并对神经影像学数据进行了基于坐标的荟萃分析。先进的贝叶斯分层模型和马尔可夫模拟预测了长期代谢结果。结果12项研究共纳入7143名受试者,其中9项为随机对照试验,3项为观察性研究。脑FDG-PET显示SSRI使用恢复中缝背核低代谢(标准化平均差0.87,95% CI: 0.52 ~ 1.22, p值= 0.001)。荟萃分析显示胃肠道不良事件增加(风险比2.15,95% CI: 1.68-2.76, p值<;0.001,研究间异质性中等),舍曲林发生率最高。西酞普兰30mg提供了显著的减肥保护(风险比0.13,95% CI: 0.02 - 0.98, p值= 0.02),尽管出于心脏安全考虑,这超过了老年患者推荐的20mg最大剂量。长期糖尿病发病率没有增加(风险比0.75,95% CI: 0.50-1.12, p值= 0.15)。贝叶斯模型显示,85 %的可能性对脑代谢有益,89 %的可能性西酞普兰的优势体重保护。结论ssssri类药物可恢复AD患者的脑糖代谢,同时引起可控的外周代谢影响。西酞普兰似乎最适合体重敏感的患者,而舍曲林则需要胃肠道监测。这些发现支持SSRI治疗AD代谢结果的安全性,但需要更长期的控制代谢结果的研究来证实我们的发现。观察到的西酞普兰的体重保护益处被记录为每天30毫克,这超过了老年患者因心脏安全问题推荐的剂量限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Metabolism open
Metabolism open Agricultural and Biological Sciences (General), Endocrinology, Endocrinology, Diabetes and Metabolism
自引率
0.00%
发文量
0
审稿时长
40 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信