Browsing by Author "Borkowski, Kamil"

Now showing 1 - 4 of 4
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    Blood Levels of Endocannabinoids, Oxylipins, and Metabolites Are Altered in Hemodialysis Patients
    (MDPI, 2022-08-29) Watkins, Bruce A.; Friedman, Allon N.; Kim, Jeffrey; Borkowski, Kamil; Kaiser, Shaun; Fiehn, Oliver; Newman, John W.; Medicine, School of Medicine
    Hemodialysis patients (HDPs) have higher blood pressure, higher levels of inflammation, a higher risk of cardiovascular disease, and unusually low plasma n-3 polyunsaturated fatty acid (PUFA) levels compared to healthy subjects. The objective of our investigation was to examine the levels of endocannabinoids (eCBs) and oxylipins (OxLs) in female HDPs compared to healthy matched female controls, with the underlying hypothesis that differences in specific PUFA levels in hemodialysis patients would result in changes in eCBs and OxLs. Plasma phospholipid fatty acids were analyzed by gas chromatography. Plasma was extracted and analyzed using ultra-performance liquid chromatography followed by electrospray ionization and tandem MS for eCBs and OxLs. The global untargeted metabolite profiling of plasma was performed by GCTOF MS. Compared to the controls, HDPs showed lower levels of plasma EPA and the associated OxL metabolites 5- and 12-HEPE, 14,15-DiHETE, as well as DHA derived 19(20)-EpDPE. Meanwhile, no changes in arachidonylethanolamide or 2-arachidonylglycerol in the open circulation were detected. Higher levels of multiple N-acylethanolamides, monoacylglycerols, biomarkers of progressive kidney disease, the nitric oxide metabolism-linked citrulline, and the uremic toxins kynurenine and creatine were observed in HDP. These metabolic differences in cCBs and OxLs help explain the severe inflammatory and cardiovascular disease manifested by HDPs, and they should be explored in future studies.
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    Peripheral inflammation is associated with brain atrophy and cognitive decline linked to mild cognitive impairment and Alzheimer's disease
    (Springer Nature, 2024-07-29) Liang, Nuanyi; Nho, Kwangsik; Newman, John W.; Arnold, Matthias; Huynh, Kevin; Meikle, Peter J.; Borkowski, Kamil; Kaddurah‑Daouk, Rima; Alzheimer’s Disease Metabolomics Consortium; Radiology and Imaging Sciences, School of Medicine
    Inflammation is an important factor in Alzheimer’s disease (AD). An NMR measurement in plasma, glycoprotein acetyls (GlycA), captures the overall level of protein production and glycosylation implicated in systemic inflammation. With its additional advantage of reducing biological variability, GlycA might be useful in monitoring the relationship between peripheral inflammation and brain changes relevant to AD. However, the associations between GlycA and these brain changes have not been fully evaluated. Here, we performed Spearman’s correlation analyses to evaluate these associations cross-sectionally and determined whether GlycA can inform AD-relevant longitudinal measurements among participants in the Alzheimer’s Disease Neuroimaging Initiative (n = 1506), with additional linear models and stratification analyses to evaluate the influences of sex or diagnosis status and confirm findings from Spearman’s correlation analyses. We found that GlycA was elevated in AD patients compared to cognitively normal participants. GlycA correlated negatively with multiple concurrent regional brain volumes in females diagnosed with late mild cognitive impairment (LMCI) or AD. Baseline GlycA level was associated with executive function decline at 3–9 year follow-up in participants diagnosed with LMCI at baseline, with similar but not identical trends observed in the future decline of memory and entorhinal cortex volume. Results here indicated that GlycA is an inflammatory biomarker relevant to AD pathogenesis and that the stage of LMCI might be relevant to inflammation-related intervention.
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    Peripheral metabolism informs on future cognitive decline and development of Alzheimer’s disease in population at risk
    (Wiley, 2025-01-03) Liang, Nuanyi; Nho, Kwangsik; Newman, John W.; Arnold, Matthias; Huynh, Kevin; Meikle, Peter J.; Borkowski, Kamil; Kaddurah-Daouk, Rima; Alzheimer’s GutMicrobiome Project Consortium (AGMP); Alzheimer’s Disease Metabolomics Consortium; Radiology and Imaging Sciences, School of Medicine
    Background: Peripheral metabolic health status can reflect and/or contribute to the risk of Alzheimer’s disease (AD). Peripheral metabolic health status can be indicated by metabolic health markers, such as inflammatory biomarker glycoprotein acetyls (GlycA) and specific components of lipoproteins (e.g., triacylglycerol of high‐density lipoprotein). However, it is unclear if the relationship between peripheral metabolism and AD‐related markers is heterogenous among diverse populations and throughout the disease progression. Methods: Utilizing Alzheimer’s Disease Neuroimaging Initiative data, we determined whether baseline plasma GlycA can inform on cognitive and brain structural changes among sub‐populations with different diagnosis status. Furthermore, correlation analyses were performed between blood metabolomics and cerebrospinal fluid (CSF) proteomics data in sub‐populations with different diagnosis status or different mild cognitive impairment (MCI)/AD outcomes in 3 years. Results: GlycA was elevated in AD patients compared to cognitively normal participants. Baseline GlycA level was associated with executive function decline at 3‐9 year follow‐up in participants diagnosed with late mild cognitive impairment (LMCI) at baseline, with similar but not identical trends observed in the future decline of memory and entorhinal cortex volume. In addition, peripheral metabolomics signatures of CSF proteomics were well‐distinguished between cognitive normal participants and AD patients. Moreover, different peripheral‐central metabolic connection was also observed in MCI‐AD converters vs. MCI‐MCI non‐converters across 3 years follow up. Conclusion: Peripheral inflammation was linked to future cognitive decline and brain structural atrophy for population at risk. In addition, peripheral metabolomics‐CSF proteomics correlation reveals distinguishing peripheral‐central connection patterns in AD patients as well as MCI participant soon to develop AD in 3 years. Findings here point to peripheral systemic inflammation and metabolic health in general as risk factors in AD development, pointing to therapeutic intervention related to periphery metabolic health for patients at risk.
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    Serum Bile Acids Improve Prediction of Alzheimer's Progression in a Sex-Dependent Manner
    (Wiley, 2024) Chen, Tianlu; Wang, Lu; Xie, Guoxiang; Kristal, Bruce S.; Zheng, Xiaojiao; Sun, Tao; Arnold, Matthias; Louie, Gregory; Li, Mengci; Wu, Lirong; Mahmoudiandehkordi, Siamak; Sniatynski, Matthew J.; Borkowski, Kamil; Guo, Qihao; Kuang, Junliang; Wang, Jieyi; Nho, Kwangsik; Ren, Zhenxing; Kueider-Paisley, Alexandra; Blach, Colette; Kaddurah-Daouk, Rima; Jia, Wei; Alzheimer’s Disease Neuroimaging Initiative (ADNI); Alzheimer Disease Metabolomics Consortium (ADMC); Radiology and Imaging Sciences, School of Medicine
    Sex disparities in serum bile acid (BA) levels and Alzheimer's disease (AD) prevalence have been established. However, the precise link between changes in serum BAs and AD development remains elusive. Here, authors quantitatively determined 33 serum BAs and 58 BA features in 4 219 samples collected from 1 180 participants from the Alzheimer's Disease Neuroimaging Initiative. The findings revealed that these BA features exhibited significant correlations with clinical stages, encompassing cognitively normal (CN), early and late mild cognitive impairment, and AD, as well as cognitive performance. Importantly, these associations are more pronounced in men than women. Among participants with progressive disease stages (n = 660), BAs underwent early changes in men, occurring before AD. By incorporating BA features into diagnostic and predictive models, positive enhancements are achieved for all models. The area under the receiver operating characteristic curve improved from 0.78 to 0.91 for men and from 0.76 to 0.83 for women for the differentiation of CN and AD. Additionally, the key findings are validated in a subset of participants (n = 578) with cerebrospinal fluid amyloid-beta and tau levels. These findings underscore the role of BAs in AD progression, offering potential improvements in the accuracy of AD prediction.