1
|
Mian M, Tahiri J, Eldin R, Altabaa M, Sehar U, Reddy PH. Overlooked cases of mild cognitive impairment: Implications to early Alzheimer's disease. Ageing Res Rev 2024; 98:102335. [PMID: 38744405 PMCID: PMC11180381 DOI: 10.1016/j.arr.2024.102335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 05/02/2024] [Accepted: 05/08/2024] [Indexed: 05/16/2024]
Abstract
Mild cognitive impairment (MCI) marks the initial phase of memory decline or other cognitive functions like language or spatial perception, while individuals typically retain the capacity to carry out everyday tasks independently. Our comprehensive article investigates the intricate landscape of cognitive disorders, focusing on MCI and Alzheimer's disease (AD) and Alzheimer's disease-related dementias (ADRD). The study aims to understand the signs of MCI, early Alzheimer's disease, and healthy brain aging while assessing factors influencing disease progression, pathology development and susceptibility. A systematic literature review of over 100 articles was conducted, emphasizing MCI, AD and ADRD within the elderly populations. The synthesis of results reveals significant findings regarding ethnicity, gender, lifestyle, comorbidities, and diagnostic tools. Ethnicity was found to influence MCI prevalence, with disparities observed across diverse populations. Gender differences were evident in cognitive performance and decline, highlighting the need for personalized management strategies. Lifestyle factors and comorbidities were identified as crucial influencers of cognitive health. Regarding diagnostic tools, the Montreal Cognitive Assessment (MoCA) emerged as superior to the Mini-Mental State Examination (MMSE) in early MCI detection. Overall, our article provides insights into the multifaceted nature of cognitive disorders, emphasizing the importance of tailored interventions and comprehensive assessment strategies for effective cognitive health management.
Collapse
Affiliation(s)
- Maamoon Mian
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Jihane Tahiri
- School of Biology, Texas Tech University, Lubbock, TX 79430, USA
| | - Ryan Eldin
- Department of Biomedical Sciences, Texas A&M University College of Dentistry, Dallas, TX 75246, USA
| | - Mohamad Altabaa
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Ujala Sehar
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - P Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Nutritional Sciences Department, College Human Sciences, Texas Tech University, Lubbock, TX 79409; Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Neurology, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Public Health, Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Speech, Language, and Hearing Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
| |
Collapse
|
2
|
Devarshi PP, Gustafson K, Grant RW, Mitmesser SH. Higher intake of certain nutrients among older adults is associated with better cognitive function: an analysis of NHANES 2011-2014. BMC Nutr 2023; 9:142. [PMID: 38053133 PMCID: PMC10696734 DOI: 10.1186/s40795-023-00802-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/24/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND An increasing number of adults are over the age of 65, and there is concern about the increasing prevalence of age-associated cognitive decline and poor mental health status in older adults in the United States. Several nutrients are known to have important biological roles in brain health and neurological function, but many individuals fall short of recommended intake levels. The objective of this study was to examine the association between nutrient intake and cognitive function. We also explored whether nutrient intake was associated with depression. METHODS This cross-sectional study was based on data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014 and included participants ≥ 60 years of age who had reliable day 1 dietary recall data and either valid cognitive function data (n = 2713) or valid depression score data (n = 2943). The sample was stratified by gender, and cognitive functioning test (CFT) composite z-scores were analyzed by quartiles. Depression status was assessed using the Patient Health Questionnaire (PHQ-9). RESULTS Higher intake and adequacy of a number of different nutrients from food were associated with higher cognitive function in both males and females. Nutrients that showed the most consistent associations with cognitive function across intake and adequacy analyses for food in both males and females were vitamin A, vitamin E, thiamin, riboflavin, vitamin B6, folate, magnesium, potassium, zinc, vitamin K, and lutein and zeaxanthin (p < 0.05 for all). These associations were positive with increasing intake and adequacy being associated with higher CFT composite z-scores. Analysis of nutrient intake and depression yielded results that differed by gender. In females, the nutrients that showed consistent inverse associations with depression scores across both intake and adequacy analyses for food were vitamin A, vitamin C, magnesium, vitamin K, potassium, and dietary fiber (p < 0.05 for all). In males, no significant associations between nutrient intake from food and depression scores were observed. CONCLUSIONS Our findings suggest that older adults with sufficient intakes of certain essential nutrients have higher cognitive function. Future studies are needed to confirm whether a well-balanced diet and/or dietary supplements which emphasize these nutrients are effective for prevention of age-related declines in cognitive function and mood.
Collapse
Affiliation(s)
- Prasad P Devarshi
- Science and Technology, Pharmavite, LLC, 8531 Fallbrook Ave, West Hills, CA, 91304, USA
| | - Kelsey Gustafson
- Science and Technology, Pharmavite, LLC, 8531 Fallbrook Ave, West Hills, CA, 91304, USA.
| | - Ryan W Grant
- Science and Technology, Pharmavite, LLC, 8531 Fallbrook Ave, West Hills, CA, 91304, USA
| | | |
Collapse
|
3
|
Babić Leko M, Langer Horvat L, Španić Popovački E, Zubčić K, Hof PR, Šimić G. Metals in Alzheimer's Disease. Biomedicines 2023; 11:1161. [PMID: 37189779 PMCID: PMC10136077 DOI: 10.3390/biomedicines11041161] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 04/07/2023] [Accepted: 04/11/2023] [Indexed: 05/17/2023] Open
Abstract
The role of metals in the pathogenesis of Alzheimer's disease (AD) is still debated. Although previous research has linked changes in essential metal homeostasis and exposure to environmental heavy metals to the pathogenesis of AD, more research is needed to determine the relationship between metals and AD. In this review, we included human studies that (1) compared the metal concentrations between AD patients and healthy controls, (2) correlated concentrations of AD cerebrospinal fluid (CSF) biomarkers with metal concentrations, and (3) used Mendelian randomization (MR) to assess the potential metal contributions to AD risk. Although many studies have examined various metals in dementia patients, understanding the dynamics of metals in these patients remains difficult due to considerable inconsistencies among the results of individual studies. The most consistent findings were for Zn and Cu, with most studies observing a decrease in Zn levels and an increase in Cu levels in AD patients. However, several studies found no such relation. Because few studies have compared metal levels with biomarker levels in the CSF of AD patients, more research of this type is required. Given that MR is revolutionizing epidemiologic research, additional MR studies that include participants from diverse ethnic backgrounds to assess the causal relationship between metals and AD risk are critical.
Collapse
Affiliation(s)
- Mirjana Babić Leko
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb School of Medicine, 10000 Zagreb, Croatia
| | - Lea Langer Horvat
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb School of Medicine, 10000 Zagreb, Croatia
| | - Ena Španić Popovački
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb School of Medicine, 10000 Zagreb, Croatia
| | - Klara Zubčić
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb School of Medicine, 10000 Zagreb, Croatia
| | - Patrick R. Hof
- Nash Family Department of Neuroscience, Friedman Brain Institute and Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Goran Šimić
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb School of Medicine, 10000 Zagreb, Croatia
| |
Collapse
|
4
|
Mahan B, Tacail T, Lewis J, Elliott T, Habekost M, Turner S, Chung R, Moynier F. Exploring the K isotope composition of Göttingen minipig brain regions, and implications for Alzheimer's disease. Metallomics 2022; 14:mfac090. [PMID: 36416864 PMCID: PMC9764214 DOI: 10.1093/mtomcs/mfac090] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 11/18/2022] [Indexed: 11/24/2022]
Abstract
Natural stable metal isotopes have shown utility in differentiation between healthy and diseased brain states (e.g. Alzheimer's disease, AD). While the AD brain accumulates some metals, it purges others, namely K (accompanied by increased serum K, suggesting brain-blood transferal). Here, K isotope compositions of Göttingen minipig brain regions for two AD models at midlife are reported. Results indicate heavy K isotope enrichment where amyloid beta (Aβ) accumulation is observed, and this enrichment correlates with relative K depletion. These results suggest preferential efflux of isotopically light K+ from the brain, a linkage between brain K concentrations and isotope compositions, and linkage to Aβ (previously shown to purge cellular brain K+). Brain K isotope compositions differ from that for serum and brain K is much more abundant than in serum, suggesting that changes in brain K may transfer a measurable K isotope excursion to serum, thereby generating an early AD biomarker.
Collapse
Affiliation(s)
- Brandon Mahan
- IsoTropics Geochemistry Lab, Earth and Environmental Science, James Cook University, Townsville, Queensland 4814, Australia
- Thermo Fisher Isotope Development Hub, Department of Earth and Planetary Sciences, Macquarie University, Sydney, New South Wales 2109, Australia
- Department of Biomedical Research, Macquarie University, Sydney, New South Wales 2109, Australia
| | - Theo Tacail
- Bristol Isotope Group, School of Earth Sciences, University of Bristol, Bristol BS8 1RJ, UK
- Institute of Geosciences, Johannes Gutenberg University, Mainz 55099, Germany
| | - Jamie Lewis
- Bristol Isotope Group, School of Earth Sciences, University of Bristol, Bristol BS8 1RJ, UK
| | - Tim Elliott
- Bristol Isotope Group, School of Earth Sciences, University of Bristol, Bristol BS8 1RJ, UK
| | - Mette Habekost
- Department of Biomedicine, Aarhus University, 8000 Aarhus C, Denmark
- Center for Neuroscience, University of Copenhagen Faculty of Health and Medical Sciences, 2200 Copenhagen N, Denmark
| | - Simon Turner
- Thermo Fisher Isotope Development Hub, Department of Earth and Planetary Sciences, Macquarie University, Sydney, New South Wales 2109, Australia
| | - Roger Chung
- Thermo Fisher Isotope Development Hub, Department of Earth and Planetary Sciences, Macquarie University, Sydney, New South Wales 2109, Australia
- Department of Biomedical Research, Macquarie University, Sydney, New South Wales 2109, Australia
| | - Frédéric Moynier
- Université de Paris, Institut de Physique du Globe de Paris, CNRS, 75238 Paris, France
| |
Collapse
|
5
|
Pan R, Zhang Y, Xu Z, Yi W, Zhao F, Song J, Sun Q, Du P, Fang J, Cheng J, Liu Y, Chen C, Lu Y, Li T, Su H, Shi X. Exposure to fine particulate matter constituents and cognitive function performance, potential mediation by sleep quality: A multicenter study among Chinese adults aged 40-89 years. ENVIRONMENT INTERNATIONAL 2022; 170:107566. [PMID: 36219911 DOI: 10.1016/j.envint.2022.107566] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 10/02/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
Although exposure to fine particulate matter (PM2.5) has been associated with cognitive decline, little is known about which PM2.5 constituents are more harmful. Recent study on the association between PM2.5 and sleep quality prompted us to propose that sleep quality may mediate the adverse effects of PM2.5 components on cognitive decline. Understanding the association between PM2.5 constituents and cognitive function, as well as the mediating role of sleep quality provides a future intervention target for improving cognitive function. Using data involving 1834 participants from a multicenter cross-sectional study in nine cities of the Beijing-Tianjin-Hebei (BTH) region in China, we undertook multivariable linear regression analyses to quantify the association of annual moving-average PM2.5 and its chemical constituents with cognitive function and to assess the modifying role of exposure characteristic in this association. Besides, we examined the extent to which this association of PM2.5 constituents with cognitive function was mediated via sleep quality by a mediation analysis. We observed significantly negative associations between an increase of one interquartile range increase in PM2.5 [-0.876 (95 % CI: -1.205, -0.548)], organic carbon [-0.481 (95 % CI: -0.744, -0.219)], potassium [-0.344 (95 % CI: -0.530, -0.157)], iron [-0.468 (95 % CI: -0.646, -0.291)], and ammonium ion [-0.125 (95 % CI: -0.197, -0.052)] and cognitive decline. However, we didn't find any individual components more harmful than PM2.5. Poor sleep quality partially mediated the estimated associations, which were explained ranging from 2.28 % to 11.99 %. Stratification analyses showed that people living in areas with lower greenspace were more susceptible to specific PM2.5 components. Our study suggests that the adverse effect of suffering from PM2.5 components is more pronounced among individuals with poor sleep quality, amplifying environmental inequalities in health. Besides reducing environmental pollution, improving sleep quality may be another measure worth considering to improve cognition if our research is confirmed in the future.
Collapse
Affiliation(s)
- Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Yingchun Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yifu Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
| |
Collapse
|
6
|
Meli AM, Zakaria NH, Yusof HM, Kamarudin KS, Ali A. Risk assessments of low cognitive performance among Fishermen's children in Malaysia. J Taibah Univ Med Sci 2022. [DOI: 10.1016/j.jtumed.2022.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
|
7
|
Nian Y, Hu X, Zhang R, Feng J, Du J, Li F, Bu L, Zhang Y, Chen Y, Tao C. Mining on Alzheimer's diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing. BMC Bioinformatics 2022; 23:407. [PMID: 36180861 PMCID: PMC9523633 DOI: 10.1186/s12859-022-04934-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 09/16/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To date, there are no effective treatments for most neurodegenerative diseases. Knowledge graphs can provide comprehensive and semantic representation for heterogeneous data, and have been successfully leveraged in many biomedical applications including drug repurposing. Our objective is to construct a knowledge graph from literature to study the relations between Alzheimer's disease (AD) and chemicals, drugs and dietary supplements in order to identify opportunities to prevent or delay neurodegenerative progression. We collected biomedical annotations and extracted their relations using SemRep via SemMedDB. We used both a BERT-based classifier and rule-based methods during data preprocessing to exclude noise while preserving most AD-related semantic triples. The 1,672,110 filtered triples were used to train with knowledge graph completion algorithms (i.e., TransE, DistMult, and ComplEx) to predict candidates that might be helpful for AD treatment or prevention. RESULTS Among three knowledge graph completion models, TransE outperformed the other two (MR = 10.53, Hits@1 = 0.28). We leveraged the time-slicing technique to further evaluate the prediction results. We found supporting evidence for most highly ranked candidates predicted by our model which indicates that our approach can inform reliable new knowledge. CONCLUSION This paper shows that our graph mining model can predict reliable new relationships between AD and other entities (i.e., dietary supplements, chemicals, and drugs). The knowledge graph constructed can facilitate data-driven knowledge discoveries and the generation of novel hypotheses.
Collapse
Affiliation(s)
- Yi Nian
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, 7000 Fannin St, Houston, TX 77030 USA
| | - Xinyue Hu
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, 7000 Fannin St, Houston, TX 77030 USA
| | - Rui Zhang
- Department of Pharmaceutical Care & Health System (PCHS) and the Institute for Health Informatics (IHI), University of Minnesota, 7-115A Weaver-Densford Hall, Minneapolis, MN 55455 USA
| | - Jingna Feng
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, 7000 Fannin St, Houston, TX 77030 USA
| | - Jingcheng Du
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, 7000 Fannin St, Houston, TX 77030 USA
| | - Fang Li
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, 7000 Fannin St, Houston, TX 77030 USA
| | - Larry Bu
- University of Maryland School of Medicine, 655 W Baltimore St S, Baltimore, MD 21201 USA
| | - Yuji Zhang
- University of Maryland School of Medicine, 655 W Baltimore St S, Baltimore, MD 21201 USA
| | - Yong Chen
- Department of Biostatistics, Epidemiology and Informatics (DBEI), the Perelman School of Medicine, University of Pennsylvania, 602 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104 USA
| | - Cui Tao
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, 7000 Fannin St, Houston, TX 77030 USA
| |
Collapse
|
8
|
Peritogiannis V, Roganaki A, Siarava E, Samakouri M. Mild Cognitive Impairment in Rural Areas: Research Advances and Implications for Clinical Practice and Healthcare Policy. Healthcare (Basel) 2022; 10:healthcare10071340. [PMID: 35885866 PMCID: PMC9323373 DOI: 10.3390/healthcare10071340] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/09/2022] [Accepted: 07/15/2022] [Indexed: 11/18/2022] Open
Abstract
Mild cognitive or neurocognitive impairment (MCI) may be more prevalent in rural areas. Differences between rural and urban MCI patients in terms of risk factors, course and prognosis are rarely reported. The present review aims to summarize the latest research on MCI in rural areas. A literature search was performed in the databases of PubMed, Scopus and ScienceDirect for articles published over the last decade. Eleven articles were included in this review, reporting on the differences between rural and urban MCI patients. Several risk factors, such as older age, lack of activities and food insecurity have been associated with MCI in both rural and urban areas, whereas others, such as obesity, adverse childhood experiences and plasma chemokine C-C motif ligand 11 (considered as a potential negative regulator of neurogenesis), differed according to the place of residence. No specific protective factor for rural women has been reported. There is some evidence that MCI may present earlier in rural residents, but that progression to dementia may be more rapid in urban residents. It seems that there may be clinically relevant differences in the onset, course and prognosis of MCI with regards to the place of residence (urban vs rural). Those differences should be taken into account for the design of health policies and service delivery across different settings.
Collapse
Affiliation(s)
- Vaios Peritogiannis
- Mobile Mental Health Unit of the Prefectures of Ioannina and Thesprotia, Society for the Promotion of Mental Health in Epirus, 54 Pashidi Str., 44445 Ioannina, Greece
- Department of Psychiatry, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (A.R.); (M.S.)
- Correspondence: ; Tel.: +30-265-102-1227
| | - Aglaia Roganaki
- Department of Psychiatry, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (A.R.); (M.S.)
- Mouzaki Health Center, 43060 Mouzaki, Greece
| | - Eleftheria Siarava
- Department of Neurology, University of Ioannina, 45500 Ioannina, Greece;
| | - Maria Samakouri
- Department of Psychiatry, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (A.R.); (M.S.)
| |
Collapse
|
9
|
Limenie AA, Dugul TT, Eshetu EM. Effects of Catha Edulis Forsk on spatial learning, memory and correlation with serum electrolytes in wild-type male white albino rats. PLoS One 2022; 17:e0257932. [PMID: 35157725 PMCID: PMC8843189 DOI: 10.1371/journal.pone.0257932] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 01/11/2022] [Indexed: 11/19/2022] Open
Abstract
Background The burdens of psychostimulant use disorders are becoming a worldwide problem. One of the psychostimulants widely consumed in Ethiopia and East African countries is Catha edulis Forsk (khat). However, no studies have been conducted on the cognitive effects of khat and its correlation with serum electrolytes. The present study was aimed to evaluate the effects of khat on spatial learning and memory and their correlation with serum electrolytes. Materials and methods Diethyl ether and chloroform (3:1v/v ratio) were solvents used to obtain the crude khat extract in this study. T80W was used to prepare the khat juice, fresh khat leave extract. The rats were received crude khat extract subchronically (KESC) (100 mg/kg, 200 mg/kg and 300 mg/kg b.w), khat juice (KHJ 2.5 mL/kg), 2% tween 80 in distilled water (T80W- v/v, vehicle) and khat extract subacutely (KESA) (300 mg/kg). For subchronic treatment, each rat was administered for twelve weeks before Morris water maze experiment has been started, while it was administered for a week for acute treatment. Spatial learning and memory were measured using the Morris water maze model and serum sodium, calcium, potassium, and chloride were evaluated using Cobas 6000. Results Spatial learning was improved with trials across the groups, while average escape latency (s) of rats received KESC 200 mg/kg (p<0.001), KESC 300 mg/kg (p<0.01) and KHJ 2.5 mL/kg (p<0.05) was significantly greater than rats that received vehicle. There was no significant difference in the latency between rats that received KESA 300mg/kg and vehicle (p>0.05). Thigmotaxis was significantly higher in rats that received all doses of khat extract (p<0.001). The time spent in the target quadrant in rats that received KESC 300 mg/kg was significantly reduced (p<0.05). Serum calcium level was inversely correlated with the escape latency (R = -0.417, p<0.05) in rats that received khat. Conclusions Khat extract and juice administered subchronically, but not subacutely, impaired learning and memory and was associated with serum calcium reduction. The neuronal basis for such alteration should be investigated.
Collapse
Affiliation(s)
- Abebaye Aragaw Limenie
- Department of Physiology, Addis Ababa University, College of Health Sciences, Addis Ababa, Ethiopia
- * E-mail:
| | - Tesfaye Tolessa Dugul
- Department of Physiology, Addis Ababa University, College of Health Sciences, Addis Ababa, Ethiopia
| | - Eyasu Mekonnen Eshetu
- Department of Pharmacology, Addis Ababa University, College of Health Sciences, Addis Ababa, Ethiopia
| |
Collapse
|
10
|
Beck D, de Lange AG, Pedersen ML, Alnæs D, Maximov II, Voldsbekk I, Richard G, Sanders A, Ulrichsen KM, Dørum ES, Kolskår KK, Høgestøl EA, Steen NE, Djurovic S, Andreassen OA, Nordvik JE, Kaufmann T, Westlye LT. Cardiometabolic risk factors associated with brain age and accelerate brain ageing. Hum Brain Mapp 2022; 43:700-720. [PMID: 34626047 PMCID: PMC8720200 DOI: 10.1002/hbm.25680] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 09/02/2021] [Accepted: 09/25/2021] [Indexed: 11/17/2022] Open
Abstract
The structure and integrity of the ageing brain is interchangeably linked to physical health, and cardiometabolic risk factors (CMRs) are associated with dementia and other brain disorders. In this mixed cross-sectional and longitudinal study (interval mean = 19.7 months), including 790 healthy individuals (mean age = 46.7 years, 53% women), we investigated CMRs and health indicators including anthropometric measures, lifestyle factors, and blood biomarkers in relation to brain structure using MRI-based morphometry and diffusion tensor imaging (DTI). We performed tissue specific brain age prediction using machine learning and performed Bayesian multilevel modeling to assess changes in each CMR over time, their respective association with brain age gap (BAG), and their interaction effects with time and age on the tissue-specific BAGs. The results showed credible associations between DTI-based BAG and blood levels of phosphate and mean cell volume (MCV), and between T1-based BAG and systolic blood pressure, smoking, pulse, and C-reactive protein (CRP), indicating older-appearing brains in people with higher cardiometabolic risk (smoking, higher blood pressure and pulse, low-grade inflammation). Longitudinal evidence supported interactions between both BAGs and waist-to-hip ratio (WHR), and between DTI-based BAG and systolic blood pressure and smoking, indicating accelerated ageing in people with higher cardiometabolic risk (smoking, higher blood pressure, and WHR). The results demonstrate that cardiometabolic risk factors are associated with brain ageing. While randomized controlled trials are needed to establish causality, our results indicate that public health initiatives and treatment strategies targeting modifiable cardiometabolic risk factors may also improve risk trajectories and delay brain ageing.
Collapse
Affiliation(s)
- Dani Beck
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Ann‐Marie G. de Lange
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- LREN, Centre for Research in Neurosciences‐Department of Clinical NeurosciencesCHUV and University of LausanneLausanneSwitzerland
- Department of PsychiatryUniversity of OxfordOxfordUK
| | - Mads L. Pedersen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Bjørknes CollegeOsloNorway
| | - Ivan I. Maximov
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Department of Health and FunctioningWestern Norway University of Applied SciencesBergenNorway
| | - Irene Voldsbekk
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
| | - Geneviève Richard
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
| | - Anne‐Marthe Sanders
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Kristine M. Ulrichsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Erlend S. Dørum
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Knut K. Kolskår
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- Sunnaas Rehabilitation Hospital HTNesodden
| | - Einar A. Høgestøl
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
| | - Nils Eiel Steen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
| | - Srdjan Djurovic
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
| | - Ole A. Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
| | | | - Tobias Kaufmann
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of Psychiatry and PsychotherapyUniversity of TübingenTubingenGermany
| | - Lars T. Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical MedicineUniversity of OsloOslo
- Department of PsychologyUniversity of OsloOslo
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of OsloOsloNorway
| |
Collapse
|
11
|
Palmer PM, Padilla AH. Risk of an Adverse Event in Individuals Who Aspirate: A Review of Current Literature on Host Defenses and Individual Differences. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2022; 31:148-162. [PMID: 34731584 DOI: 10.1044/2021_ajslp-20-00375] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
PURPOSE The presence of oropharyngeal dysphagia increases the likelihood of prandial aspiration, and aspiration increases the likelihood of a dysphagia-related pulmonary sequelae such as aspiration pneumonia, acute respiratory distress syndrome, pulmonary fibrosis, and even death. Although these outcomes are unfortunate, it is important to point out that these consequences are not solely determined by the presence of aspiration. The purpose of this tutorial is to provide current information on pulmonary defenses and the variables that increase risk of an adverse outcome in individuals who aspirate. METHOD This tutorial reviews the basics of lung defenses and summarizes the literature to make the case that the host is a central theme in dysphagia management. Case studies are employed to highlight the key variables. RESULTS Based on a literature review, a series of questions are proposed for consideration in dysphagia management. These questions, which take the focus away from the presence of aspiration and toward the associated risks within an individual, are then applied to two case studies. CONCLUSIONS A guiding framework is proposed to encourage clinicians to assess more than the presence of aspiration and consider the individual's ability to cope with the aspirated material. In the presence of aspiration, clinicians are urged to focus on the risk factors that can lead to a negative consequence, identify which factors are modifiable, and determine when a level of risk is acceptable.
Collapse
Affiliation(s)
- Phyllis M Palmer
- Department of Speech and Hearing Sciences, The University of New Mexico, Albuquerque
| | | |
Collapse
|
12
|
Association between 24-h urinary sodium to potassium ratio and mild cognitive impairment in community-based general population. Public Health Nutr 2021; 24:5795-5804. [PMID: 33821782 DOI: 10.1017/s1368980021001452] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To explore the relationship between parameters of Na and K excretion using 24-h urine sample and mild cognitive impairment (MCI) in general population. DESIGN This is a cross-sectional study. SETTING Community-based general population in Emin China. PARTICIPANTS Totally, 1147 subjects aged ≥18 years were selected to complete the study, with a multistage proportional random sampling method. Cognitive status was assessed with Mini Mental State Examination (MMSE) questionnaire and timed 24-h urine specimens were collected. Finally, 561 participants aged ≥35 years with complete urine sample and MMSE data were included for the current analysis and divided into groups by tertiles of 24-h urinary sodium to potassium ratio (24-h UNa/K) as lowest (T1), middle (T2) and highest (T3) groups. RESULTS The MMSE score was significantly lower in T3, compared with the T1 group (26·0 v. 25·0, P = 0·002), and the prevalent MCI was significantly higher in T3 than in T1 group (11·7 % v. 25·8 %, P < 0·001). In multiple linear regression, 24-UNa/K (β: -0·184, 95 % CI -0·319, -0·050, P = 0·007) was negatively associated with MMSE score. In multivariable logistic regression, compared with T1 group, 24-h UNa/K in the T2 and T3 groups showed 2·01 (95 % CI 1·03, 3·93, P = 0·041) and 3·38 (95 % CI 1·77, 6·44, P < 0·001) fold odds for presence of MCI, even after adjustment for confounders. More augmented results were demonstrated in sensitivity analysis by excluding individuals taking anti-hypertensive agents. CONCLUSIONS Higher 24-h UNa/K is in an independent association with prevalent MCI.
Collapse
|
13
|
Kim SG, Park CE. Influences of the Global Deterioration Scale according to Routine Blood Chemistry Results. KOREAN JOURNAL OF CLINICAL LABORATORY SCIENCE 2019. [DOI: 10.15324/kjcls.2019.51.3.351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Sun-Gyu Kim
- Department of Laboratory Medicine, Gyeonggi Province Medical Center Ansung Hospital, Ansung, Korea
| | - Chang-Eun Park
- Department of Biomedical Laboratory Science, Molecular Diagnostics Research Institute, Namseoul University, Cheonan, Korea
| |
Collapse
|
14
|
Kim YS, Park YG, Park J, Yi H, Ko EJ. Significance of Hypokalemia in Functional Outcomes of Patients with Subacute Stroke. BRAIN & NEUROREHABILITATION 2019. [DOI: 10.12786/bn.2019.12.e13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Young Seok Kim
- Department of Rehabilitation Medicine, Gangnam Severance Hospital, Rehabilitation Institute of Neuromuscular Disease, Yonsei University College of Medicine, Seoul, Korea
| | - Yoon Ghil Park
- Department of Rehabilitation Medicine, Gangnam Severance Hospital, Rehabilitation Institute of Neuromuscular Disease, Yonsei University College of Medicine, Seoul, Korea
| | - Jinyoung Park
- Department of Rehabilitation Medicine, Gangnam Severance Hospital, Rehabilitation Institute of Neuromuscular Disease, Yonsei University College of Medicine, Seoul, Korea
| | - Hosung Yi
- Department of Rehabilitation Medicine, Gangnam Severance Hospital, Rehabilitation Institute of Neuromuscular Disease, Yonsei University College of Medicine, Seoul, Korea
| | - Eu Jeong Ko
- Department of Rehabilitation Medicine, Gangnam Severance Hospital, Rehabilitation Institute of Neuromuscular Disease, Yonsei University College of Medicine, Seoul, Korea
| |
Collapse
|