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Li H, Ren J, Li Y, Wu Q, Wei J. Oxidative stress: The nexus of obesity and cognitive dysfunction in diabetes. Front Endocrinol (Lausanne) 2023; 14:1134025. [PMID: 37077347 PMCID: PMC10107409 DOI: 10.3389/fendo.2023.1134025] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 03/02/2023] [Indexed: 04/05/2023] Open
Abstract
Obesity has been associated with oxidative stress. Obese patients are at increased risk for diabetic cognitive dysfunction, indicating a pathological link between obesity, oxidative stress, and diabetic cognitive dysfunction. Obesity can induce the biological process of oxidative stress by disrupting the adipose microenvironment (adipocytes, macrophages), mediating low-grade chronic inflammation, and mitochondrial dysfunction (mitochondrial division, fusion). Furthermore, oxidative stress can be implicated in insulin resistance, inflammation in neural tissues, and lipid metabolism disorders, affecting cognitive dysfunction in diabetics.
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Affiliation(s)
- Huimin Li
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jing Ren
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School of Beijing University of Chinese Medicine, Beijing, China
| | - Yusi Li
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qian Wu
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Junping Wei
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Junping Wei,
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Wang Y, Wei S, Zhou R, Shang S, Dang L, Gao L, Chen C, Huo K, Wang J, Wang J, Qu Q. The Relationships Between Lipid Accumulation Product Levels and Cognitive Decline Over 4 Years in a Rural Area of Xi'an, China. Front Aging Neurosci 2021; 13:761886. [PMID: 34867288 PMCID: PMC8640205 DOI: 10.3389/fnagi.2021.761886] [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: 08/20/2021] [Accepted: 10/06/2021] [Indexed: 11/25/2022] Open
Abstract
Background and Aims: The relationships between blood lipid levels and obesity and cognitive impairment have not been fully determined. Considering that the lipid accumulation product (LAP) is a composite index of blood lipid levels and obesity, we investigated the relationships between LAP levels at baseline and cognitive decline over 4 years. Methods: A total of 983 subjects (≥40 years) from a longitudinal cohort in a village of Xi’an, China, who completed the baseline survey were followed-up for 4 years. All participants underwent face-to-face interviews and cognitive assessments at baseline and at the 4-year follow-up. The Mini-Mental State Examination (MMSE) was used to assess cognitive function, and an MMSE score dropping ≥ 2 points from baseline was defined as cognitive decline. The relationships between LAP and cognitive decline were analyzed by linear regression models. Results: During the 4-year follow-up, 172 patients exhibited cognitive decline (17.5%). Univariate analysis showed that the rate of change in MMSE score was significantly different between the low-LAP group and the high-LAP group (t = −2.26, p = 0.024). Multiple linear regression indicated that a high LAP was positively associated with cognitive decline (β = 0.564, p = 0.012). Stratified multivariate analysis showed that LAP was positively associated with cognitive decline in the normal blood pressure female subgroup (β = 1.29, p = 0.002) but not in the high blood pressure group or the male group. Conclusions: High LAP is associated with cognitive decline in females with normal blood pressure but not in those with high blood pressure or males. This indicates that the relationships between blood lipid levels and obesity and cognitive impairment may be affected by blood pressure and sex.
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Affiliation(s)
- Yanyu Wang
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shan Wei
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Rong Zhou
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Suhang Shang
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Liangjun Dang
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ling Gao
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Chen Chen
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Kang Huo
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jingyi Wang
- Huyi Hospital of Traditional Chinese Medicine, Xi'an, China
| | - Jin Wang
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Qiumin Qu
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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Karunathilaka N, Rathnayake S. Screening for mild cognitive impairment in people with obesity: a systematic review. BMC Endocr Disord 2021; 21:230. [PMID: 34789218 PMCID: PMC8600927 DOI: 10.1186/s12902-021-00898-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 11/05/2021] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE Recent evidence demonstrates that obesity is associated with developing cognitive impairment. However, evidence related to the assessment of mild cognitive impairment (MCI) in people with obesity is limited. Therefore, this systematic review aimed to examine evidence concerning the screening of MCI in people with obesity from the general population. METHOD We conducted a systematic search of CINHAL, EMBASE, MEDLINE, PsycINFO and PubMed electronic databases for observational studies to assess MCI in people with obesity from the general population. PRISMA guideline was followed. The articles published from January 2011 to July 2021 were included. RESULTS Database search found 3104 sources. After the screening process, two articles from China and Egypt were included. The main age groups assessed were middle-aged adulthood and older adulthood. There were no studies undertaken in young adults or across the life span. Obesity was assessed by body mass index. MCI was assessed by cognitive screening tools; Mini-mental State Examination and Addenbrooke's Cognitive Examination. The prevalence of MCI in people with obesity was 18.5 % and 42.9 % in Chinese and Egyptian studies, respectively. Only one study supported a positive association between MCI and obesity. CONCLUSIONS Limited studies were found on screening MCI in people with obesity in the general population. The available evidence was not adequate to explain the overall prevalence, possible associations, and the best tool for assessing MCI in people with obesity. Expanding screening studies for MCI in people with obesity in the general population is essential.
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Affiliation(s)
- Nimantha Karunathilaka
- Department of Nursing and Midwifery, Faculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Ratmalana, Sri Lanka
| | - Sarath Rathnayake
- Department of Nursing, Faculty of Allied Health Sciences, University of Peradeniya, Peradeniya, Sri Lanka
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Padilla Medina JA, Herrera Ramírez CA, Cardona Torres LM, Galicia Reséndiz DA, Prado Olivares J, Pérez Pinal F. Measurement of the visual system response and its correlation with the central nervous system in patients diagnosed with type 2 diabetes mellitus (T2DM). Biocybern Biomed Eng 2020. [DOI: 10.1016/j.bbe.2020.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Yu ZW, Li X, Wang Y, Fu YH, Gao XY. Association Between Lipid Accumulation Product and Mild Cognitive Impairment in Patients with Type 2 Diabetes. J Alzheimers Dis 2020; 77:367-374. [PMID: 32804130 DOI: 10.3233/jad-200332] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Diabetes may increase the risk of conversion of mild cognitive impairment (MCI) to dementia. Lipid accumulation product (LAP), an index of visceral obesity, has been shown to be a powerful predictor of insulin resistance and type 2 diabetes (T2D). However, little attention has been paid to the relationship between LAP and MCI in T2D. OBJECTIVE We aimed to investigate the association between the LAP index and MCI in patients with T2D. METHODS In total, 220 hospitalized patients with T2D, including 113 MCI patients and 107 patients with normal cognition, were enrolled in this cross-sectional study. We collected demographic, anthropometric, and biochemical data on each subject. The LAP index was calculated according to the following formulas: [waist circumference (WC) (cm) - 65]×triglyceride (TG) (mmol/L) for males and [WC (cm) - 58] ×TG (mmol/L) for females. RESULTS Compared with patients with normal cognition, MCI patients were older and had a higher LAP index, WC, body mass index, and glycosylated hemoglobin A1c level, as well as a lower Montreal Cognitive Assessment score and education level (p < 0.05). After adjusting for confounding factors, LAP index was associated with MCI (OR = 1.047, 95% CI = 1.031-1.063, p < 0.01). The area under the ROC curve (AUC) for the LAP index was higher than that for WC and BMI. CONCLUSION A high LAP index is associated with an increased risk of MCI in T2D patients. The LAP index appears to be a good indicator of risk of MCI in patients with T2D.
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Affiliation(s)
- Zi-Wei Yu
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xin Li
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ying Wang
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yu-Hong Fu
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xin-Yuan Gao
- Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, China
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Guardabassi V, Tomasetto C. Weight status or weight stigma? Obesity stereotypes—Not excess weight—Reduce working memory in school-aged children. J Exp Child Psychol 2020; 189:104706. [DOI: 10.1016/j.jecp.2019.104706] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 08/28/2019] [Accepted: 08/28/2019] [Indexed: 12/24/2022]
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Yiengprugsawan VS, Browning CJ. Non-communicable Diseases and Cognitive Impairment: Pathways and Shared Behavioral Risk Factors Among Older Chinese. Front Public Health 2019; 7:296. [PMID: 31709214 PMCID: PMC6819425 DOI: 10.3389/fpubh.2019.00296] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 10/02/2019] [Indexed: 12/11/2022] Open
Abstract
Population aging has brought about a number of challenges to public health and primary health care systems due to increases in the prevalence of non-communicable diseases (NCDs). As a country with one of the largest populations globally, China is confronting a rising number of chronic NCDs including cardiometabolic related conditions. This mini-review investigates the link between NCDs and cognitive impairment through common risk factors. Identifying risk factors is important for the prevention and management of these chronic conditions. In addition, this review also identifies the role of primary health care services in reducing behavioral risk factors for NCDs and cognitive impairment. Addressing shared determinants and pathways is important in the design of public health interventions and primary health care services in China. Monitoring and management of NCD biomarkers and behavioral risk factors may also be beneficial for cognitive health among older Chinese.
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Affiliation(s)
- Vasoontara Sbirakos Yiengprugsawan
- Centre for Research on Ageing, Health and Wellbeing (CRAHW), Research School of Population Health, The Australian National University, Canberra, ACT, Australia.,Australian Research Council Centre of Excellence in Population Ageing Research (CEPAR), University of New South Wales, Kensington, NSW, Australia
| | - Colette Joy Browning
- Centre for Research on Ageing, Health and Wellbeing (CRAHW), Research School of Population Health, The Australian National University, Canberra, ACT, Australia.,School of Nursing and Healthcare Professions, Federation University, Ballarat, VIC, Australia.,International Primary Health Care Research Institute, Shenzhen, China
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Type 2 Diabetes Mellitus Is Associated with the Risk of Cognitive Impairment: a Meta-Analysis. J Mol Neurosci 2019; 68:251-260. [DOI: 10.1007/s12031-019-01290-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 03/01/2019] [Indexed: 10/27/2022]
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Li J, Pan J, Li B, Tian H, Zhu Y, Liao Z, Kou L, Tang C, Wang M, Ye G, Wang M. Positive correlation between cognitive impairment and renal microangiopathy in patients with type 2 diabetic nephropathy: a multicenter retrospective study. J Int Med Res 2018; 46:5040-5051. [PMID: 30208748 PMCID: PMC6300957 DOI: 10.1177/0300060518789299] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Objective This study was performed to explore the correlation between cognitive impairment and renal microangiopathy in patients with type 2 diabetic nephropathy (T2DN) by detecting changes in cognitive function and cerebral metabolism in these patients with different stages of T2DN. Methods Prospectively maintained databases were reviewed from 2006 to 2017. Blood biochemical indexes and the urinary albumin excretion rate (UAER) were measured in all participants. Cognitive function was assessed by the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment Scale (MoCA). Cognitive impairment was the primary endpoint. Renal microangiopathy was the secondary endpoint. Pearson correlation analysis was used to assess correlations. Results Two hundred sixteen patients with type 2 diabetes mellitus (T2DM) were divided into three groups according to their UAER: T2DM without nephropathy (n=72), early T2DM with nephropathy (n=74), and the clinical stage of early T2DM with nephropathy (n=70). Healthy participants were selected as the normal control group (n=70). Pearson correlation analysis demonstrated that the total MMSE and MoCA score was negatively correlated with the UAER (r=−0.327) and positively correlated with the estimated glomerular filtration rate (r=0.428) in patients with T2DN. Conclusions The present study showed a positive correlation between cognitive impairment and renal microangiopathy in patients with T2DN.
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Affiliation(s)
- Jinyu Li
- 1 The First College of Clinical Medical Science, China Three Gorges University, Yichang Central People's Hospital, Yichang, China
| | - Jiamin Pan
- 2 Ultrasonography Department, The First Affiliated Hospital of Sun Yat-sen University, Huangpu District, Guangzhou, China
| | - Bohan Li
- 3 Department of Microsurgery, Trauma and Hand Surgery, The First Affiliated Hospital of Sun Yat-sen University, Yuexiu District, Guangzhou, China
| | - Huiyu Tian
- 4 Intensive Care Unit, the First Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China
| | - Ying Zhu
- 5 Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Yuexiu District, Guangzhou, China
| | - Zhihao Liao
- 6 Department of Microsurgery and Hand Surgery, The Third Affiliated Hospital of Guangzhou University of Traditional Chinese, Guangzhou, China
| | - Li Kou
- 7 Department of neurology, The Fifth Affiliated Hospital of The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Chaogang Tang
- 7 Department of neurology, The Fifth Affiliated Hospital of The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Mingwei Wang
- 8 Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China
| | - Guoqiang Ye
- 6 Department of Microsurgery and Hand Surgery, The Third Affiliated Hospital of Guangzhou University of Traditional Chinese, Guangzhou, China
| | - Ming Wang
- 1 The First College of Clinical Medical Science, China Three Gorges University, Yichang Central People's Hospital, Yichang, China
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