Guocheng Jiang, Jennifer S Rabin, Sandra E Black, Walter Swardfager, Bradley J MacIntosh
{"title":"英国生物银行的一项与肥胖成年人海马体积和大脑静息状态激活相关的血液脂质图谱。","authors":"Guocheng Jiang, Jennifer S Rabin, Sandra E Black, Walter Swardfager, Bradley J MacIntosh","doi":"10.1089/brain.2023.0018","DOIUrl":null,"url":null,"abstract":"<p><p><b><i>Objectives:</i></b> Obesity and dyslipidemia may be associated with hippocampal alterations and may increase the risk of neurodegeneration. This study studied hippocampal anatomical and functional association with a lipid profile based on high-density lipoprotein, low-density lipoprotein, and triglyceride related to dyslipidemia in obese and nonobese adults. A whole-brain analysis was also conducted to examine the effect of dyslipidemia on resting-state function across the brain. <b><i>Participants and Methods:</i></b> In total, 553 UK Biobank participants comprised three groups based on body mass index (BMI) rankings: obese adults with high BMI (O<sub>High</sub>, <i>n</i> = 184, 32.7 kg/m<sup>2</sup> ≤ BMI ≤53.4 kg/m<sup>2</sup>), obese adults with a lower BMI (O<sub>Low</sub>, <i>n</i> = 182, 30.3 kg/m<sup>2</sup> ≤ BMI ≤32.6 kg/m<sup>2</sup>), and nonobese controls (<i>n</i> = 187). Structural MRI and functional MRI data were accessed. The fractional amplitude of low-frequency fluctuations (fALFFs) maps was calculated to reflect resting-state brain activity. A lipid health factor was created using principal component analysis. Linear models tested for associations between the lipid health score and hippocampal MRI readouts. <b><i>Results:</i></b> With a higher lipid health factor corresponding to a lower dyslipidemia risk, we found a positive correlation between hippocampal volume with the lipid health factor exclusively in group O<sub>Low</sub> (<i>p</i> = 0.01). We also found a positive association between the lipid health factor and hippocampal fALFF in group O<sub>High</sub> (<i>p</i> = 0.02). Additional fALFF voxel-wise analysis to group O<sub>High</sub> also implicated that the premotor cortex, amygdala, thalamus, subcallosal cortex, temporal fusiform cortex, and middle temporal gyrus brain regions are related with lipid. <b><i>Conclusion:</i></b> The study finds novel associations among circulating lipid, hippocampal structure, and hippocampal function exclusively in the obese adults.</p>","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"578-588"},"PeriodicalIF":2.4000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Blood-Based Lipid Profile Associated With Hippocampal Volume and Brain Resting-State Activation Within Obese Adults from the UK Biobank.\",\"authors\":\"Guocheng Jiang, Jennifer S Rabin, Sandra E Black, Walter Swardfager, Bradley J MacIntosh\",\"doi\":\"10.1089/brain.2023.0018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b><i>Objectives:</i></b> Obesity and dyslipidemia may be associated with hippocampal alterations and may increase the risk of neurodegeneration. This study studied hippocampal anatomical and functional association with a lipid profile based on high-density lipoprotein, low-density lipoprotein, and triglyceride related to dyslipidemia in obese and nonobese adults. A whole-brain analysis was also conducted to examine the effect of dyslipidemia on resting-state function across the brain. <b><i>Participants and Methods:</i></b> In total, 553 UK Biobank participants comprised three groups based on body mass index (BMI) rankings: obese adults with high BMI (O<sub>High</sub>, <i>n</i> = 184, 32.7 kg/m<sup>2</sup> ≤ BMI ≤53.4 kg/m<sup>2</sup>), obese adults with a lower BMI (O<sub>Low</sub>, <i>n</i> = 182, 30.3 kg/m<sup>2</sup> ≤ BMI ≤32.6 kg/m<sup>2</sup>), and nonobese controls (<i>n</i> = 187). Structural MRI and functional MRI data were accessed. The fractional amplitude of low-frequency fluctuations (fALFFs) maps was calculated to reflect resting-state brain activity. A lipid health factor was created using principal component analysis. Linear models tested for associations between the lipid health score and hippocampal MRI readouts. <b><i>Results:</i></b> With a higher lipid health factor corresponding to a lower dyslipidemia risk, we found a positive correlation between hippocampal volume with the lipid health factor exclusively in group O<sub>Low</sub> (<i>p</i> = 0.01). We also found a positive association between the lipid health factor and hippocampal fALFF in group O<sub>High</sub> (<i>p</i> = 0.02). Additional fALFF voxel-wise analysis to group O<sub>High</sub> also implicated that the premotor cortex, amygdala, thalamus, subcallosal cortex, temporal fusiform cortex, and middle temporal gyrus brain regions are related with lipid. <b><i>Conclusion:</i></b> The study finds novel associations among circulating lipid, hippocampal structure, and hippocampal function exclusively in the obese adults.</p>\",\"PeriodicalId\":9155,\"journal\":{\"name\":\"Brain connectivity\",\"volume\":\" \",\"pages\":\"578-588\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain connectivity\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1089/brain.2023.0018\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain connectivity","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/brain.2023.0018","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
A Blood-Based Lipid Profile Associated With Hippocampal Volume and Brain Resting-State Activation Within Obese Adults from the UK Biobank.
Objectives: Obesity and dyslipidemia may be associated with hippocampal alterations and may increase the risk of neurodegeneration. This study studied hippocampal anatomical and functional association with a lipid profile based on high-density lipoprotein, low-density lipoprotein, and triglyceride related to dyslipidemia in obese and nonobese adults. A whole-brain analysis was also conducted to examine the effect of dyslipidemia on resting-state function across the brain. Participants and Methods: In total, 553 UK Biobank participants comprised three groups based on body mass index (BMI) rankings: obese adults with high BMI (OHigh, n = 184, 32.7 kg/m2 ≤ BMI ≤53.4 kg/m2), obese adults with a lower BMI (OLow, n = 182, 30.3 kg/m2 ≤ BMI ≤32.6 kg/m2), and nonobese controls (n = 187). Structural MRI and functional MRI data were accessed. The fractional amplitude of low-frequency fluctuations (fALFFs) maps was calculated to reflect resting-state brain activity. A lipid health factor was created using principal component analysis. Linear models tested for associations between the lipid health score and hippocampal MRI readouts. Results: With a higher lipid health factor corresponding to a lower dyslipidemia risk, we found a positive correlation between hippocampal volume with the lipid health factor exclusively in group OLow (p = 0.01). We also found a positive association between the lipid health factor and hippocampal fALFF in group OHigh (p = 0.02). Additional fALFF voxel-wise analysis to group OHigh also implicated that the premotor cortex, amygdala, thalamus, subcallosal cortex, temporal fusiform cortex, and middle temporal gyrus brain regions are related with lipid. Conclusion: The study finds novel associations among circulating lipid, hippocampal structure, and hippocampal function exclusively in the obese adults.
期刊介绍:
Brain Connectivity provides groundbreaking findings in the rapidly advancing field of connectivity research at the systems and network levels. The Journal disseminates information on brain mapping, modeling, novel research techniques, new imaging modalities, preclinical animal studies, and the translation of research discoveries from the laboratory to the clinic.
This essential journal fosters the application of basic biological discoveries and contributes to the development of novel diagnostic and therapeutic interventions to recognize and treat a broad range of neurodegenerative and psychiatric disorders such as: Alzheimer’s disease, attention-deficit hyperactivity disorder, posttraumatic stress disorder, epilepsy, traumatic brain injury, stroke, dementia, and depression.