Nutritional Lipidomics in Alzheimer’s Disease

Kalli, Εfstathia G.

doi:10.1007/978-3-030-32633-3_14

Cited by 4 publications

(3 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another result of participant characteristics was that lower LDL-C concentrations were associated with an increased risk of dementia. Lower ability of daily living could result in insignificant lack of dietary intake and nutrition in patients with dementia, which might be correlated with the reduction of LDL-C ( 22 ).…”

Section: Discussionmentioning

confidence: 99%

Linear brain measurement: a new screening method for cognitive impairment in elderly patients with cerebral small vessel disease

Wang,

Lu,

et al. 2024

Front. Neurol.

View full text Add to dashboard Cite

BackgroundThe old adults have high incidence of cognitive impairment, especially in patients with cerebral small vessel disease (CSVD). Cognitive impairment is not easy to be detected in such populations. We aimed to develop clinical prediction models for different degrees of cognitive impairments in elderly CSVD patients based on conventional imaging and clinical data to determine the better indicators for assessing cognitive function in the CSVD elderly.Methods210 CSVD patients were screened out by the evaluation of Magnetic Resonance Imaging (MRI). Then, participants were divided into the following three groups according to the cognitive assessment results: control, mild cognitive impairment (MCI), and dementia groups. Clinical data were collected from all patients, including demographic data, biochemical indicators, carotid ultrasound, transcranial Doppler (TCD) indicators, and linear measurement parameters based on MRI.ResultsOur results showed that the brain atrophy and vascular lesions developed progressive worsening with increased degree of cognitive impairment. Crouse score and Interuncal distance/Bitemporal distance (IUD/BTD) were independent risk factors for MCI in CSVD patients, and independent risk factors for dementia in CSVD were Crouse Score, the pulsatility index of the middle cerebral artery (MCAPI), IUD/BTD, and Sylvian fissure ratio (SFR). Overall, the parameters with high performance were the IUD/BTD (OR 2.28; 95% CI 1.26–4.10) and SFR (OR 3.28; 95% CI 1.54–6.91), and the AUC (area under the curve) in distinguishing between CSVD older adults with MCI and with dementia was 0.675 and 0.724, respectively. Linear brain measurement parameters had larger observed effect than other indexes to identify cognitive impairments in CSVD patients.ConclusionThis study shows that IUD/BTD and SFR are good predictors of cognitive impairments in CSVD elderly. Linear brain measurement showed a good predictive power for identifying MCI and dementia in elderly subjects with CSVD. Linear brain measurement could be a more suitable and novel method for screening cognitive impairment in aged CSVD patients in primary healthcare facilities, and worth further promotion among the rural population.

show abstract

Section: Discussionmentioning

confidence: 99%

Linear brain measurement: a new screening method for cognitive impairment in elderly patients with cerebral small vessel disease

Wang,

Lu,

et al. 2024

Front. Neurol.

View full text Add to dashboard Cite

show abstract

“…Our data showed that the levels of phytosphingosine and cer (d18:0/14:0) in the APP/PS1 group decreased significantly, and the concentration of cer (d18:0/14:0) showed an upward trend after AOF treatment. Previous studies have shown that glycerophospholipid metabolism is closely related to the pathogenesis of AD ( Kalli, 2020 ). Phosphatidylcholine (PC), phosphatidylethanolamine (PE), lysoPC, and lysoPE were located in glycerophospholipid metabolism.…”

Section: Discussionmentioning

confidence: 99%

Integrated untargeted and targeted metabolomics to reveal therapeutic effect and mechanism of Alpiniae oxyphyllae fructus on Alzheimer’s disease in APP/PS1 mice

Zhou

Liu²,

Zhang³

et al. 2023

Front. Pharmacol.

View full text Add to dashboard Cite

Introduction:Alpiniae oxyphyllae Fructus (AOF) has been abundantly utilized for the treatment of diarrhea, dyspepsia, kidney asthenia, and abdominal pain in China. AOF is effective for treating AD in clinical trials, but its exact mode of action is yet unknown.Methods: In this study, metabolomics was combined to ascertain the alterations in plasma metabolism in APP/PS1 transgenic mice, the therapy of AOF on model mice, and the dynamic variations in 15 bile acids (BAs) concentration.Results: 31 differential biomarkers were finally identified in APP/PS1 group vs. the WT group. The levels of 16 metabolites like sphinganine (Sa), lyso PE (20:2), lysoPC (17:0), glycocholic acid (GCA), deoxycholicacid (DCA) were increased in APP/PS1 group, and those of 15 metabolites like phytosphingosine, cer (d18:0/14:0), and fumaric acid were reduced in APP/PS1 group. After AOF treatment, 29 of the 31 differential metabolites showed a tendency to be back-regulated, and 15 metabolites were significantly back-regulated, including sphinganine (Sa), lyso PE (20:2), glycocholic acid (GCA), deoxycholic acid (DCA). The relationship between BAs level and AD had been received increasing attention in recent years, and we also found notable differences between DCA and GCA in different groups. Therefore, a BAs-targeted metabonomic way was established to determine the level of 15 bile acids in different groups. The consequence demonstrated that primary BAs (CA, CDCA) declined in APP/PS1 model mice. After 3 months of AOF administration, CA and CDCA levels showed an upward trend. Conjugated primary bile acids (TCA, GCA, TCDCA, GCDCA), and secondary bile acids (DCA, LCA, GDCA, TDCA, TLCA GLCA) ascended in APP/PS1 group. After 3 months of AOF treatment, the levels of most BAs decreased to varying degrees. Notably, the metabolic performance of DCA and GCA in different groups was consistent with the predictions of untargeted metabolomics, validating the correctness of untargeted metabolomics.Discussion: According to metabolic pathways of regulated metabolites, it was prompted that AOF ameliorated the symptom of AD mice probably by regulating bile acids metabolism. This study offers a solid foundation for further research into the AOF mechanism for the therapy of AD.

show abstract

“…Detecting these shifts in lipid profiles thus represents a promising approach to identifying high-risk patients at earlier time points. Lipidomic analyses of overall lipid profiles can also offer additional insight into the pathophysiology of diseases (15)(16)(17), including diabetes (15,(18)(19)(20)(21)(22). Several lipidomics studies have provided evidence that comprehensive lipid profiles have the potential to improve diabetes risk assessment relative to the use of conventional clinic indices alone Certain subclasses of lipids including ceramides, sphingolipids, phospholipids, triglycerides (TGs) having been linked to human prediabetes and T2DM (23-34)s T2DM is highly prevalent in European nations (35-37), and the human serum lipidome is highly complex (38,39), a majority of recent studies have employed lipidomics approaches to analyze the serum lipid profiles of European individuals with prediabetes and T2DM (40)(41)(42).…”

Section: Introductionmentioning

confidence: 99%

Integrated lipids biomarker of the prediabetes and type 2 diabetes mellitus Chinese patients

Yang

Wang²,

Yang³

et al. 2023

Front. Endocrinol.

View full text Add to dashboard Cite

IntroductionDyslipidemia is a hallmark of T2DM, and as such, analyses of lipid metabolic profiles in affected patients have the potential to permit the development of an integrated lipid metabolite-based biomarker model that can facilitate early patient diagnosis and treatment.MethodsUntargeted and targeted lipidomics approaches were used to analyze serum samples from newly diagnosed 93 Chinese participants in discovery cohort and 440 in validation cohort via UHPLC-MS and UHPLC-MS/MS first. The acid sphingomyelinase protein expression was analyzed by Western blot.Results and DiscussionThrough these analyses, we developed a novel integrated biomarker signature composed of LPC 22:6, PC(16:0/20:4), PE(22:6/16:0), Cer(d18:1/24:0)/SM(d18:1/19:0), Cer(d18:1/24:0)/SM(d18:0/16:0), TG(18:1/18:2/18:2), TG(16:0/16:0/20:3), and TG(18:0/16:0/18:2). The area under the curve (AUC) values for this integrated biomarker signature for prediabetes and T2DM patients were 0.841 (cutoff: 0.565) and 0.894 (cutoff: 0.633), respectively. Furthermore, theresults of western blot analysis of frozen adipose tissue from 3 week (prediabetes) and 12 week (T2DM) Goto–Kakizaki (GK) rats also confirmed that acid sphingomyelinase is responsible for significant disruptions in ceramide and sphingomyelin homeostasis. Network analyses of the biomarkers associated with this biosignature suggested that the most profoundly affected lipid metabolism pathways in the context of diabetes include de novo ceramide synthesis, sphingomyelin metabolism, and additional pathways associated with phosphatidylcholine synthesis. Together, these results offer new biological insights regarding the role of serum lipids in the context of insidious T2DM development, and may offer new avenues for future diagnostic and/or therapeutic research.

show abstract

Nutritional Lipidomics in Alzheimer’s Disease

Cited by 4 publications

References 45 publications

Linear brain measurement: a new screening method for cognitive impairment in elderly patients with cerebral small vessel disease

Linear brain measurement: a new screening method for cognitive impairment in elderly patients with cerebral small vessel disease

Integrated untargeted and targeted metabolomics to reveal therapeutic effect and mechanism of Alpiniae oxyphyllae fructus on Alzheimer’s disease in APP/PS1 mice

Integrated lipids biomarker of the prediabetes and type 2 diabetes mellitus Chinese patients

Contact Info

Product

Resources

About