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Chang F, Hong J, Yuan F, Wu D. Association between cognition and olfaction-specific parameters in patients with chronic rhinosinusitis. Eur Arch Otorhinolaryngol 2023; 280:3249-3258. [PMID: 36689021 DOI: 10.1007/s00405-023-07853-w] [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: 12/12/2022] [Accepted: 01/18/2023] [Indexed: 01/24/2023]
Abstract
BACKGROUND Patients with chronic rhinosinusitis (CRS) have reported significantly cognitive and olfactory dysfunction. This study aimed to explore the relationship between cognitive function and olfaction-specific parameters in patients with CRS. METHODS A cross-sectional survey method was used to investigate 98 participants, including 75 patients with CRS and 23 healthy controls. Cognitive function and psychophysical olfactory tests were performed. Olfactory cleft endoscopy scale and olfactory cleft computed tomography (CT) scores were obtained. Multivariate logistic regression was used to analyze the risk factors of Mild Cognitive Impairment (MCI) in patients with CRS. RESULTS There are significant differences in age, Montreal Cognitive Assessment (MoCA) scores, number of MCI, Lund-Mackay olfactory cleft (LM-OC) score, and blood eosinophil count between CRS with and without olfactory dysfunction groups (all P < 0.05). Total MoCA scores were positively correlated with thresholds-discrimination-identification (TDI) score (r = 0.541, P < 0.001), olfactory threshold (OT) (r = 0.440, P < 0.001), olfactory discrimination (OD) (r = 0.541, P < 0.001), and olfactory identification (OI) (r = 0.382, P = 0.001) scores. Furthermore, total MoCA scores were negatively correlated with LM-OC scores (r = - 0.351, P = 0.002). After adjusting for patient demographics, only the OD score was an independent risk factor for MCI among patients with CRS (odds ratio = 0.792; P = 0.039). The OD scores less than 11.5 were the best predictor of MCI in patients with CRS. CONCLUSION Olfaction-specific clinical parameters were highly correlated with cognitive function in patients with CRS and the OD score was an independent risk factor for MCI in patients with CRS.
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Affiliation(s)
- Feifan Chang
- Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Junsheng Hong
- Department of Otolaryngology-Head and Neck Surgery, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Fan Yuan
- Department of Otolaryngology, Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Dawei Wu
- Department of Otolaryngology Head and Neck Surgery, Peking University Third Hospital, Haidian District, No. 49 Huayuan North Road, Beijing, 100191, People's Republic of China.
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Lumsden AL, Mulugeta A, Mäkinen V, Hyppönen E. Metabolic profile-based subgroups can identify differences in brain volumes and brain iron deposition. Diabetes Obes Metab 2023; 25:121-131. [PMID: 36053807 PMCID: PMC10946804 DOI: 10.1111/dom.14853] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 08/16/2022] [Accepted: 08/28/2022] [Indexed: 12/14/2022]
Abstract
AIMS To evaluate associations of metabolic profiles and biomarkers with brain atrophy, lesions, and iron deposition to understand the early risk factors associated with dementia. MATERIALS AND METHODS Using data from 26 239 UK Biobank participants free from dementia and stroke, we assessed the associations of metabolic subgroups, derived using an artificial neural network approach (self-organizing map), and 39 individual biomarkers with brain MRI measures: total brain volume (TBV), grey matter volume (GMV), white matter volume (WMV), hippocampal volume (HV), white matter hyperintensity (WMH) volume, and caudate iron deposition. RESULTS In metabolic subgroup analyses, participants characterized by high triglycerides and liver enzymes showed the most adverse brain outcomes compared to the healthy reference subgroup with high-density lipoprotein cholesterol and low body mass index (BMI) including associations with GMV (βstandardized -0.20, 95% confidence interval [CI] -0.24 to -0.16), HV (βstandardized -0.09, 95% CI -0.13 to -0.04), WMH volume (βstandardized 0.22, 95% CI 0.18 to 0.26), and caudate iron deposition (βstandardized 0.30, 95% CI 0.25 to 0.34), with similar adverse associations for the subgroup with high BMI, C-reactive protein and cystatin C, and the subgroup with high blood pressure (BP) and apolipoprotein B. Among the biomarkers, striking associations were seen between basal metabolic rate (BMR) and caudate iron deposition (βstandardized 0.23, 95% CI 0.22 to 0.24 per 1 SD increase), GMV (βstandardized -0.15, 95% CI -0.16 to -0.14) and HV (βstandardized -0.11, 95% CI -0.12 to -0.10), and between BP and WMH volume (βstandardized 0.13, 95% CI 0.12 to 0.14 for diastolic BP). CONCLUSIONS Metabolic profiles were associated differentially with brain neuroimaging characteristics. Associations of BMR, BP and other individual biomarkers may provide insights into actionable mechanisms driving these brain associations.
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Affiliation(s)
- Amanda L. Lumsden
- Australian Centre for Precision Health, Unit of Clinical and Health SciencesUniversity of South AustraliaAdelaideAustralia
- South Australian Health and Medical Research InstituteAdelaideAustralia
| | - Anwar Mulugeta
- Australian Centre for Precision Health, Unit of Clinical and Health SciencesUniversity of South AustraliaAdelaideAustralia
- South Australian Health and Medical Research InstituteAdelaideAustralia
- Department of Pharmacology and Clinical PharmacyCollege of Health SciencesAddis AbabaEthiopia
| | - Ville‐Petteri Mäkinen
- South Australian Health and Medical Research InstituteAdelaideAustralia
- Computational Systems Biology Program, Precision Medicine ThemeSouth Australian Health and Medical Research InstituteAdelaideAustralia
| | - Elina Hyppönen
- Australian Centre for Precision Health, Unit of Clinical and Health SciencesUniversity of South AustraliaAdelaideAustralia
- South Australian Health and Medical Research InstituteAdelaideAustralia
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Leirós M, Amenedo E, Rodríguez M, Pazo-Álvarez P, Franco L, Leis R, Martínez-Olmos MÁ, Arce C. Cognitive Status and Nutritional Markers in a Sample of Institutionalized Elderly People. Front Aging Neurosci 2022; 14:880405. [PMID: 35686024 PMCID: PMC9171327 DOI: 10.3389/fnagi.2022.880405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
Background Since many of the risk factors for cognitive decline can be modified by diet, the study of nutrition and its relationships with cognitive status in aging has increased considerably in recent years. However, there are hardly any studies that have assessed cognitive status using a comprehensive set of neuropsychological tests along with measures of functional capacity and mood and that have related it to nutritional status measured from several nutritional parameters that have shown its relationships with cognitive function. Objective To test the differences in depressive symptomatology and in several measures of nutritional status between three groups classified according to their cognitive status (CS hereafter). Method One hundred thirteen participants from nursing homes in Galicia, Spain, underwent a comprehensive neuropsychological examination, including a general screening test (MMSE) and tests for different cognitive domains along with measures of activities of daily living (ADL) and assessment of depressive symptomatology (GDS-SF). According to established clinical criteria, participants were divided into three CS groups, Cognitively Intact (CI), Mild Cognitive Impairment (MCI), and All-Cause Dementia (ACD). Nutritional status was also examined using blood-derived measures, body mass index (BMI) and a nutritional screening test (MNA-SF). Differences between CS groups in all nutritional variables were studied by one-way ANOVAs with post-hoc Bonferroni correction or Kruskal-Wallis with Games-Howell post-hoc correction when appropriate. Multinomial logistic regression was also applied to test the association between nutritional variables and CS. Results Differences between CS groups were statistically significant for depressive symptomatology, vitamin A and D, albumin, selenium (Se), uric acid (UA), and BMI. The results of multinomial logistic regression found positive associations between groups with better CS and higher concentrations of vitamins A and D, transthyretin (TTR), albumin, Se, and UA, while negative associations were found for BMI. Conclusion Higher serum levels of vitamin A, vitamin D, TTR, albumin, Se, and UA could act as protective factors against cognitive decline, whereas higher BMI could act as a risk factor.
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Affiliation(s)
- María Leirós
- Research Group in Cognitive and Affective Neuroscience (NECEA), Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, A Coruña, Spain
| | - Elena Amenedo
- Research Group in Cognitive and Affective Neuroscience (NECEA), Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, A Coruña, Spain
| | - Marina Rodríguez
- Research Group in Cognitive and Affective Neuroscience (NECEA), Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, A Coruña, Spain
| | - Paula Pazo-Álvarez
- Research Group in Cognitive and Affective Neuroscience (NECEA), Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, A Coruña, Spain
| | - Luis Franco
- Economic Analysis and Modeling Group, Instituto de Estudios y Desarrollo de Galicia (IDEGA), Santiago de Compostela, Spain
| | - Rosaura Leis
- Pediatric Gastroenterology, Hepatology and Nutrition Unit, Hospital Clínico Universitario de Santiago, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain.,Unit of Investigation in Nutrition, Growth and Human Development of Galicia, Department of Forensic Sciences, Pathological Anatomy, Gynecology and Obstetrics, and Pediatrics, University of Santiago de Compostela, Santiago de Compostela, Spain.,CIBEROBN (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Miguel-Ángel Martínez-Olmos
- CIBEROBN (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain.,Section of Endocrinology-Nutrition Area, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Constantino Arce
- Department of Social, Basic and Methodology Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
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Gu L, Yu J, He Y, Fan Y, Sheng J. Blood copper excess is associated with mild cognitive impairment in elderly Chinese. Aging Clin Exp Res 2022; 34:1007-1019. [PMID: 35043280 DOI: 10.1007/s40520-021-02034-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 11/15/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Copper is associated with mild cognitive impairment (MCI). However, there is a lack of relevant population studies with large sample sizes. AIMS This study used baseline data from a cohort study to determine the distribution characteristics of MCI in the elderly and to estimate the association between whole blood copper concentrations and MCI. METHODS MCI status was screened by the Mini-Mental State Examination (MMSE) scale and Activities of Daily Living (ADL) scale. The concentration of copper in whole blood was determined by Inductively Coupled Plasma Mass Spectrometer (ICP-MS). RESULTS A total of 1057 subjects with an average age of 71.82 ± 6.45 years were included in this study. There were 215 patients with MCI, and the prevalence of MCI was 20.34%. After adjusting for general demographic variables, logistic regression analysis showed that the risk of MCI in the elderly with high copper level was 1.354 times higher than that in the elderly with low copper level (OR 1.354, 95% CI 1.047-1.983, P = 0.034). CONCLUSION In this study, it was found that the prevalence of MCI was different in gender, age, education level and other aspects, and a higher copper level in the elderly was significantly related to the occurrence of MCI. The association was stronger in older adults and men.
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Yang K, Li C, Shi K, Zhu X, Xiao Y, Su B, Ju Y, Lu F, Qu J, Cui L, Li M. Association of Serum Uric Acid With Retinal Capillary Plexus. Front Endocrinol (Lausanne) 2022; 13:855430. [PMID: 35498412 PMCID: PMC9039338 DOI: 10.3389/fendo.2022.855430] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 03/15/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND To determine the association between serum uric acid (SUA) and the retinal capillary plexus (RCP) using optical coherence tomography angiography (OCTA). METHODS This cross-sectional study evaluated data from August 2019 to January 2020 from participants recruited from the Jidong community (Tangshan, Hebei, China). All participants completed detailed anthropometrical measurements, laboratory tests and comprehensive ophthalmic examinations. We assessed the vessel density in RCP using OCTA. We used multivariable analysis to evaluate the sex-specific association between SUA and RCP after adjusting for confounders. RESULTS A total of 2730 participants were included in this study. The mean age of the participants was 44.0 ± 11.6 years, and 1463 (53.6%) were women. The multivariable βs and 95% confidence intervals (CIs) of superficial RCP vessel density in the second through fourth SUA quartiles compared with the lowest SUA quartiles were -0.27 (-0.56 - 0.03), -0.30 (-0.60 - 0.01), and -0.46 (-0.78 - -0.14) (P for trend = 0.007) in men. CONCLUSIONS Higher SUA levels were significantly associated with lower RCP vessel density in men. Our findings provide evidence for the detrimental effect of high SUA levels on the retinal microvasculature and imply the importance of modulating SUA to prevent the microvascular alternation especially for men.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Jia Qu
- *Correspondence: Ming Li, ; Lele Cui, ; Jia Qu,
| | - Lele Cui
- *Correspondence: Ming Li, ; Lele Cui, ; Jia Qu,
| | - Ming Li
- *Correspondence: Ming Li, ; Lele Cui, ; Jia Qu,
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Chen Z, Chang F, Yao L, Yuan F, Hong J, Wu D, Wei Y. Clinical significance of the cognition-related pathogenic proteins in plasma neuronal-derived exosomes among normal cognitive adults over 45 years old with olfactory dysfunction. Eur Arch Otorhinolaryngol 2021; 279:3467-3476. [PMID: 34693486 DOI: 10.1007/s00405-021-07143-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 10/15/2021] [Indexed: 01/25/2023]
Abstract
OBJECTIVES Exosomal Phospho-Tau-181(P-T181-tau), Total tau (T-tau), and amyloid-β peptide 42 (Aβ42) have been proved the capacity for the amnestic mild cognitive impairment (MCI) and the diagnosis of Alzheimer's disease (AD). This study aimed to explore the cognitive function and the levels of P-T181-tau, T-tau, and Aβ42 in neuronal-derived exosomes (NDEs) extracted from plasma in normal cognitive adults over 45 years old with olfactory dysfunction. METHODS A cross-sectional survey of 29 participants aged over 45 was conducted. Plasma exosomes were isolated, precipitated, and enriched by immuno-absorption with anti- L1 cell adhesion molecule (L1CAM) antibody. NDEs were characterized by CD81, and extracted NDE protein (P-T181-tau, T-tau, and Aβ42) biomarkers were quantified by enzyme-linked immunosorbent assay (ELISAs). Olfactory performance was assessed by Sniffin' Sticks and cognitive performance was assessed by Montreal Cognitive Assessment (MoCA). RESULTS There was no significant difference between adults with olfactory dysfunction and without olfactory dysfunction regarding the cognitive function as measured by MoCA and all the participants showed normal cognition. Adults with olfactory dysfunction showed a higher concentration of P-T181-tau in plasma NDEs than did adults without olfactory dysfunction (P = 0.034). Both the levels of P-T181-tau (r = - 0.553, P = 0.003) and T-tau (r = - 0.417, P = 0.034) negatively correlated with the odor identification scores. In addition, the level of T-tau negatively correlated with MoCA scores (r = - 0.597, P = 0.002). The levels of P-T181-tau (r = - 0.464, P = 0.022) and T-tau (r = - 0.438, P = 0.032) negatively correlated with the delayed recall scores. CONCLUSIONS This study demonstrated that cognition-related pathogenic proteins including P-T181-tau in plasma NDEs were significantly increased in adults over 45 years old with olfactory dysfunction before the occurrence of cognitive impairment. The impaired odor identification and the delayed recall function were highly associated with the increased levels of P-T181-tau and T-tau in plasma NDEs.
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Affiliation(s)
- Zirong Chen
- Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - FeiFan Chang
- Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China
| | - Linyin Yao
- Department of Otolaryngology, Smell and Taste Center, Beijing Anzhen Hospital, Capital Medical University, YaBao Road 2, Beijing, 100029, Chaoyang District, China
| | - Fan Yuan
- Department of Otolaryngology, Smell and Taste Center, Beijing Anzhen Hospital, Capital Medical University, YaBao Road 2, Beijing, 100029, Chaoyang District, China
| | - Junsheng Hong
- Department of Otolaryngology, Smell and Taste Center, Beijing Anzhen Hospital, Capital Medical University, YaBao Road 2, Beijing, 100029, Chaoyang District, China
| | - Dawei Wu
- Department of Otolaryngology, Smell and Taste Center, Beijing Anzhen Hospital, Capital Medical University, YaBao Road 2, Beijing, 100029, Chaoyang District, China.
| | - Yongxiang Wei
- Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China. .,Department of Otolaryngology, Smell and Taste Center, Beijing Anzhen Hospital, Capital Medical University, YaBao Road 2, Beijing, 100029, Chaoyang District, China. .,Department of Otolaryngology, Capital Institute of Pediatrics, Beijing, China.
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