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Li XY, Xiang AY, Liu XY, Wang KH, Wang Y, Pan HT, Zhang JY, Yao L, Liu ZQ, Xu JQ, Li XQ, Zhang ZC, Chen WF, Zhou PH, Li QL. Association of circulating cytokine levels and tissue-infiltrating myeloid cells with achalasia: results from Mendelian randomization and validation through clinical characteristics and single-cell RNA sequencing. J Gastroenterol 2024; 59:1079-1091. [PMID: 39377966 DOI: 10.1007/s00535-024-02155-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Accepted: 09/27/2024] [Indexed: 10/09/2024]
Abstract
BACKGROUND Achalasia is a rare motility disorder of the esophagus often accompanied by immune dysregulation, yet specific underlying mechanisms remain poorly understood. METHODS We utilized Mendelian randomization (MR) to explore the causal effects of cytokine levels on achalasia, with cis-expression/protein quantitative trait loci (cis-eQTLs/pQTLs) for 47 cytokines selected from a genome-wide association study (GWAS) meta-analysis and GWAS data for achalasia obtained from FinnGen. For cytokines significantly linked to achalasia, we analyzed their plasma concentrations and expression differences in the lower esophageal sphincter (LES) using enzyme-linked immunosorbent assay and single-cell RNA sequencing (scRNA-seq) profiling, respectively. We further employed bioinformatics approaches to investigate underlying mechanisms. RESULTS We revealed positive associations of circulating Eotaxin, macrophage inflammatory protein-1b (MIP1b), soluble E-selectin (SeSelectin) and TNF-related apoptosis-inducing ligand (TRAIL) with achalasia. When combining MR findings with scRNA-seq data, we observed upregulation of TRAIL (OR = 2.70, 95% CI, 1.20-6.07), encoded by TNFSF10, in monocytes and downregulation of interleukin-1 receptor antagonist (IL-1ra) (OR = 0.70, 95% CI 0.59-0.84), encoded by IL1RN, in FOS_macrophages in achalasia. TNFSF10high monocytes in achalasia displayed activated type I interferon signaling, and IL1RNlow FOS_macrophages exhibited increased intercellular communications with various lymphocytes, together shaping the proinflammatory microenvironment of achalasia. CONCLUSIONS We identified circulating Eotaxin, MIP1b, SeSelectin and TRAIL as potential drug targets for achalasia. TNFSF10high monocytes and IL1RNlow macrophages may play a role in the pathogenesis of achalasia.
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Affiliation(s)
- Xin-Yue Li
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - An-Yi Xiang
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Xin-Yang Liu
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Ke-Hao Wang
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Yun Wang
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Hai-Ting Pan
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Ji-Yuan Zhang
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Lu Yao
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Zu-Qiang Liu
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Jia-Qi Xu
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Xiao-Qing Li
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Zhao-Chao Zhang
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Wei-Feng Chen
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Ping-Hong Zhou
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China.
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China.
| | - Quan-Lin Li
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China.
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China.
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Jiang F, Dong Q, Wu S, Liu X, Dayimu A, Liu Y, Ji H, Wang L, Liu T, Li N, Li X, Fu P, Jing Q, Zhou C, Li H, Xu L, Chen S, Wang H. A comprehensive evaluation on the associations between hearing and vision impairments and risk of all-cause and cause-specific dementia: results from cohort study, meta-analysis and Mendelian randomization study. BMC Med 2024; 22:518. [PMID: 39506811 PMCID: PMC11542226 DOI: 10.1186/s12916-024-03748-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Accepted: 10/31/2024] [Indexed: 11/08/2024] Open
Abstract
BACKGROUND Epidemiological studies show inconsistent links between hearing/vision impairment and dementia risk. Using multisource data, we investigated how single or combined sensory impairments relate to risks of all-cause and specific types of dementia. METHODS We employed a triangulation approach combining three methodologies. We analyzed 90,893 UK Biobank (UKB) adults to explore single and joint effects of hearing and vision impairments on all-cause and Alzheimer's disease (AD), vascular dementia (VD) and non-AD non-VD (NAVD). A meta-analysis of prospective studies involving 937,908 participants provided stronger evidence. Finally, we conducted Mendelian randomization (MR) analysis using genome-wide association studies from UKB (361,194 participants) and FinnGen (412,181 participants) to validate relationships between sensory impairments and dementia occurrence. RESULTS In the UKB cohort study, compared to participants with normal hearing, those in the mild and severe hearing impairment groups had progressively and significantly higher risk of all-cause dementia (mild: HR1.52, 95%CI 1.31-1.77; severe: HR1.80, 95%CI 1.36-2.38), AD (mild: HR1.63, 95%CI 1.30-2.04; severe: HR2.18, 95%CI 1.45-3.27), VD (mild: HR1.68, 95%CI 1.19-2.37; severe: HR1.47, 95%CI 1.22-1.78), and NAVD (mild: HR1.47, 95%CI 1.22-1.78; severe: HR1.98, 95%CI 1.43-2.75). Besides, vision impairment was associated with an increased risk of all-cause dementia (HR1.55, 95%CI 1.18-2.04) and NAVD (HR1.51, 95%CI 1.07-2.13). Furthermore, dual sensory impairment was associated with stepwise increased risks of all-cause and cause-specific dementia than single hearing or vision impairment. In the meta-analysis of 31 prospective cohort studies, risks of all-cause dementia and AD were elevated in participants with single hearing impairment (all-cause dementia: HR1.30, 95%CI 1.21-1.40; AD: HR1.30, 95%CI 1.21-1.40) and dual sensory impairment (all-cause dementia: HR1.63, 95%CI1.14-2.12; AD: HR 2.55, 95%CI 1.19-3.91), while single vision impairment only associated with higher risk of all-cause dementia (HR1.43, 95%CI 1.16-1.71) but not AD. Finally, the MR analysis revealed a significant association between hearing impairment and all-cause dementia (OR1.74, 95%CI 1.01-2.99), AD (OR1.56, 95%CI 1.09-2.23), and NAVD (OR1.14, 1.02-1.26), as well as vision impairment and NAVD (OR1.62, 95%CI 1.13-2.33). CONCLUSIONS Our findings showed significant associations between hearing and vision impairments and increased risks of all-cause and cause-specific dementia. Standardized hearing and vision assessment and intervention should be emphasized in dementia prevention strategies.
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Affiliation(s)
- Fan Jiang
- Shandong Provincial ENT Hospital, School of Public Health, Shandong University, Jinan, Shandong, China
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Qiuyue Dong
- Shandong Provincial ENT Hospital, School of Public Health, Shandong University, Jinan, Shandong, China
| | - Sijia Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Xinhui Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Alimu Dayimu
- Cambridge Clinical Trials Unit Cancer Theme, University of Cambridge, Cambridge, UK
| | - Yingying Liu
- School of Clinical Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Hanbing Ji
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Le Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Tiemei Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Na Li
- Shandong Provincial ENT Hospital, School of Public Health, Shandong University, Jinan, Shandong, China
| | - Xiaofei Li
- Shandong Provincial ENT Hospital, School of Public Health, Shandong University, Jinan, Shandong, China
| | - Peipei Fu
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Department of Health Policy and Management, School of Public Health, Yale University, New Haven, CT, USA
| | - Qi Jing
- School of Management, Shandong Second Medical University, Weifang, Shandong, China
- Institute of Population Ageing, University of Oxford, Oxford, UK
| | - Chengchao Zhou
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Hongkai Li
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
| | - Lei Xu
- Shandong Provincial ENT Hospital, School of Public Health, Shandong University, Jinan, Shandong, China.
| | - Shanquan Chen
- International Centre for Evidence in Disability, Faculty of Epidemiology and Population Health, The London School of Hygiene & Tropical Medicine, London, UK.
| | - Haibo Wang
- Shandong Provincial ENT Hospital, School of Public Health, Shandong University, Jinan, Shandong, China.
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Hu J, Zhang J, Liu Y, Qin J, Bai H, Qin X. Causal linkage of Graves' disease with aging: Mendelian randomization analysis of telomere length and age-related phenotypes. BMC Geriatr 2024; 24:901. [PMID: 39482583 PMCID: PMC11526548 DOI: 10.1186/s12877-024-05379-2] [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: 10/11/2023] [Accepted: 09/13/2024] [Indexed: 11/03/2024] Open
Abstract
BACKGROUND Aging is an irreversible progressive decline in physical function. Graves' disease (GD) is a common cause of hyperthyroidism and is characterized by elevated levels of the thyroid hormone (TH). High TH levels are associated with aging and a shortened lifespan. The causal relationship between GD and aging has yet to be investigated. METHODS We used genome-wide association study (GWAS) datasets and Mendelian randomization (MR) analysis to explore the causal link between GD and aging. To assess the statistical power of instrumental variables (IVs), F-statistics and R2 were used. MR analysis was conducted using inverse-variance weighting (IVW), MR-Egger, weighted median, and weighted mode. The odds ratio (OR) and 95% CI were calculated to estimate the relative risk of GD to the outcomes. The Cochran Q test, I2, MR-PRESSO test, and MR-Egger regression intercept were calculated using statistical and leave-one-out analyses to test the heterogeneity, horizontal pleiotropy, and stability of the IVs on the outcomes. RESULTS F-statistics of the five IVs were greater than 10, and the R2 values ranged from 0.033 to 0.156 (R2 > 0.01). According to the results of the IVW analysis, GD had no causal effect on facial aging (p = 0.189), age-related macular degeneration (p = 0.346), and Alzheimer's disease (p = 0.479). There was a causal effect of GD on the remaining outcomes: telomere length (TL) (OR = 0.982; 95%CI:0.969-0.994; p = 0.004), senile cataract (OR = 1.031; 95%CI:1.002-1.060; p = 0.033), age-related hearing impairment (OR = 1.009; 95%CI:1.004-1.014; p = 0.001), chronic obstructive pulmonary disease (COPD) (OR = 1.055; 95%CI:1.008-1.103; p = 0.020), and sarcopenia (OR = 1.027; 95%CI:1.009-1.046; p = 0.004). CONCLUSIONS GD accelerates the occurrence of age-related phenotypes including TL, senile cataracts, age-related hearing impairment, COPD, and sarcopenia. In contrast, there are no causal linkages between GD and facial aging, age-related macular degeneration, or Alzheimer's disease. Further experimental studies could be conducted to elucidate the mechanisms by which GD facilitates aging, which could help slow down the progress of aging.
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Affiliation(s)
- Jingwen Hu
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, 110004, China
| | - Jin Zhang
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, 110004, China
| | - Yingshu Liu
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, 110004, China
| | - Jiahui Qin
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, 110004, China
| | - Haixia Bai
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, 110004, China
| | - Xiaosong Qin
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
- Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, 110004, China.
- , No.36 Sanhao Street, Heping District Shenyang 110004, Liaoning Zip, China.
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Xu T, Li C, Liao Y, Zhang X. Causal relationship between circulating levels of cytokines and bone mineral density: A mendelian randomization study. Cytokine 2024; 182:156729. [PMID: 39126768 DOI: 10.1016/j.cyto.2024.156729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 06/13/2024] [Accepted: 08/05/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND Numerous studies have shown that various cytokines are important factors affecting bone mineral density (BMD), but the causality between the two remains uncertain. METHODS Genetic variants associated with 41 circulating cytokines from a genome-wide association study (GWAS) in 8,293 Finns were used as instrumental variables (IVs) for a two-sample Mendelian randomization (MR) analysis. Inverse variance weighting (IVW) was employed as the primary method to investigate whether the 41 cytokines were causally associated with BMD at five different sites [total body bone mineral density (TB-BMD), heel bone mineral density (HE-BMD), forearm bone mineral density (FA-BMD), femoral neck bone mineral density (FN-BMD), and lumbar spine bone mineral density (LS-BMD)]. Weighted median and MR-Egger were chosen to further confirm the robustness of the results. We performed MR pleiotropy residual sum and outlier test (MR-PRESSO), MR-Egger regression, and Cochran's Q test to detect pleiotropy and sensitivity testing. RESULTS After Bonferroni correction, two circulating cytokines had a strong causality with BMD at corresponding sites. Genetically predicted circulating hepatocyte growth factor (HGF) levels and HE-BMD were negatively correlated [β (95 % CI) -0.035(-0.055, -0.016), P=0.00038]. Circulating macrophage inflammatory protein-1α (MIP-1α) levels and TB-BMD were negatively correlated [β(95 %CI): -0.058(-0.092, -0.024), P=0.00074]. Weighted median and MR-Egger results were in line with the IVW results. We also found suggestive causal relationship (IVW P<0.05) between seven circulating cytokines and BMD at corresponding sites. No significant pleiotropy or heterogeneity was observed in our study. CONCLUSION Our MR analyses indicated a causal effect between two circulating cytokines and BMD at corresponding sites (HGF and HE-BMD, MIP-1α and TB-BMD), along with suggestive evidence of a potential causality between seven cytokines and BMD at the corresponding sites. These findings would provide insights into the prevention and treatment of osteoporosis, especially immunoporosis.
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Affiliation(s)
- Taichuan Xu
- Department of Spine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, Jiangsu 214072, China
| | - Chao Li
- Department of Spine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, Jiangsu 214072, China
| | - Yitao Liao
- Department of Spine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, Jiangsu 214072, China
| | - Xian Zhang
- Department of Spine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi, Jiangsu 214072, China.
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Lu J, Feng Y, Guo K, Sun L, Zhang K. Association between inflammatory factors and melanoma: a bidirectional Mendelian randomization study. Cancer Causes Control 2024; 35:1333-1342. [PMID: 38842646 DOI: 10.1007/s10552-024-01890-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 05/13/2024] [Indexed: 06/07/2024]
Abstract
PURPOSE This study performed a bidirectional Mendelian randomization (MR) analysis to elucidate the causal relationships of C-reactive protein and 41 inflammatory regulators with melanoma, including data from UK Biobank, Cardiovascular Risk in Young Finns Study, and Cohorts for Inflammation Work Group. METHODS We selected the inverse variance weighting (IVW) to merge the estimated causal effects of multiple SNPs into a weighted average. To evaluate the heterogeneities of IVW, the Cochran Q statistic, and I2 index were used. What's more, several sensitivity analyses were employed, including IVW, MR-Egger, weighted median, and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO). RESULTS With SNPs reaching P < 5 × 10-8, the analyses findings revealed that IL-16 had a significant positively association with genetically risk of melanoma (ORIVW: 1.05; 95% CI: 1.03-1.07; P < 0.001), and high levels of MCP1 (ORIVW: 1.13; 95% CI: 1.03-1.23; P = 0.01) were suggestively associated with melanoma susceptibility. What's more, TNF-β (ORIVW: 1.07; 95% CI: 1.01-1.13; P = 0.02) and IL-8 (ORIVW: 1.08, 95% CI: 1.01-1.16; P = 0.03) were demonstrated a positive association with the risk of melanoma under a less stringent cut-off (P < 5 × 10-6). Conversely, we found a facilitative effect of melanoma susceptibility on IP-10 and inhibitory effects on IL-6, IL-1b, and GRO-α. CONCLUSION The genetic evidence that we have uncovered indicates a potential association between the levels of specific inflammatory markers (IL-16, IL-8, MCP-1, and TNF-β) and the risk of melanoma. Further research is imperative to translate these findings into clinical applications.
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Affiliation(s)
- Jiamin Lu
- The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China
| | - Yuqian Feng
- Hangzhou TCM Hospital of Zhejiang Chinese Medical University (Hangzhou Hospital of Traditional Chinese Medicine), Hangzhou, Zhejiang, China
| | - Kaibo Guo
- Department of Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Oncology, The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Leitao Sun
- The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
| | - Kai Zhang
- The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
- Anji Traditional Chinese Medical Hospital, Huzhou, Zhejiang, China.
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Yang Y, Yao Z, Huo L. Causal effect of circulating cytokines on MRI markers of cerebral small vessel disease: A mendelian randomization study. Cytokine 2024; 182:156713. [PMID: 39079216 DOI: 10.1016/j.cyto.2024.156713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/05/2024] [Accepted: 07/22/2024] [Indexed: 08/25/2024]
Abstract
BACKGROUND Previous observational studies have reported the correlation between circulating inflammatory cytokines and cerebral small vessel disease (CSVD). However, the causality of this association is uncertain. This study used Mendelian randomization to investigate the causal effect of circulating inflammatory cytokines on neuroimaging changes in CSVD. METHODS This study utilized genetic variances of 41 inflammatory cytokines and 3 neuroimaging markers of CSVD from genome-wide association studies to assess the causal effects in a two-sample Mendelian randomization approach. Inverse variance weighted analysis was used as the main analytical method, and sensitivity analysis was used to further validate the robustness of the results. RESULTS Increased IL-18 was associated with increased white matter hyperintensity (WMH) and mean diffusivity (MD) (β = 0.034, 95 % CI 0.002, 0.065, P=0.038, β = 0.157, 95 % CI 0.015, 0.299, P=0.030). However, increased IL-18 was associated with decreased fractional anisotropy (FA) (β = -0.141, 95 % CI -0.279, -0.002, P=0.047). Increased monocyte chemotactic protein-1(MCP-1) was associated with decreased FA (β = -0.278, 95 % CI -0.502, -0.054, P=0.015). Increased IL-10 levels and IL-2ra levels were associated with decreased risks of MD (β = -0.228, 95 % CI -0.448, -0.009, p = 0.041; β = -0.204, 95 % CI=-0.377, -0.031, p = 0.021). CONCLUSIONS This study revealed that increased levels of IL-18 and MCP-1 were associated with white matter microstructural injury, and increased levels of IL-10 and IL-2ra were associated with decreased MD.
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Affiliation(s)
- Yang Yang
- Central Laboratory, Department of Neurology, Fu Xing Hospital, Capital Medical University, Beijing 100038, China
| | - Zhichao Yao
- Central Laboratory, Department of Neurology, Fu Xing Hospital, Capital Medical University, Beijing 100038, China
| | - Lirong Huo
- Central Laboratory, Department of Neurology, Fu Xing Hospital, Capital Medical University, Beijing 100038, China.
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Long Y, Dai W, Cai K, Xiao Y, Luo A, Lai Z, Wang J, Xu L, Nie H. Systemic Immune Factors and Risk of Allergic Contact Dermatitis: A Bidirectional Mendelian Randomization Study. Int J Mol Sci 2024; 25:10436. [PMID: 39408763 PMCID: PMC11476522 DOI: 10.3390/ijms251910436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Revised: 09/16/2024] [Accepted: 09/21/2024] [Indexed: 10/20/2024] Open
Abstract
Skin inflammation and immune regulation have been suggested to be associated with allergic contact dermatitis (ACD) progression, but whether the system's immune regulation is a cause or a potential mechanism is still unknown. This study aims to assess the upstream and downstream of systemic immune factors on ACD within a bidirectional Mendelian-randomization design. A bidirectional two-sample MR analysis was employed to implement the results from genome-wide association studies for 52 system immune factors and ACD. Genetic associations with systemic immune factors and ACD were obtained from the IEU Open GWAS project database. The inverse-variance weighted (IVW) method was adopted as the primary MR analysis, MR-Egger, weighted median, MR-pleiotropy residual sum, and outlier (MR-PRESSO) was also used as the sensitivity analyses. Only Tumor necrosis factor ligand superfamily member 11 (TNFS11) from among 52 systemic immune factors was associated with a protective effect of ACD. However, ACD was associated with a decrease in Interleukin-9 (IL9) and an increase in C-X-C motif chemokine 1 (GROα), Tumor necrosis factor ligand superfamily member 10 (TRAIL), C4, and complement factor B of the assessed systemic immune factors. This study identified TNFS11 as the upstream regulator and IL9, GROα, TRAIL, C4, and complement factor B as the downstream regulator of ACD, providing opportunities for new therapeutic exploitation of ACD. Nonetheless, these associations of systemic immune factors need to be verified in vivo.
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Affiliation(s)
| | | | | | | | | | | | | | - Lipeng Xu
- State Key Laboratory of Bioactive Molecules and Druggability Assessment, Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research, International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Chinese Ministry of Education (MOE), College of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China; (Y.L.); (W.D.); (K.C.); (Y.X.); (A.L.); (Z.L.); (J.W.)
| | - Hong Nie
- State Key Laboratory of Bioactive Molecules and Druggability Assessment, Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research, International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Chinese Ministry of Education (MOE), College of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China; (Y.L.); (W.D.); (K.C.); (Y.X.); (A.L.); (Z.L.); (J.W.)
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Willman M, Patel G, Lucke-Wold B. T lymphocyte proportion in Alzheimer's disease prognosis. World J Clin Cases 2024; 12:6001-6003. [PMID: 39286389 PMCID: PMC11287512 DOI: 10.12998/wjcc.v12.i26.6001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/23/2024] [Accepted: 07/15/2024] [Indexed: 07/19/2024] Open
Abstract
Bai et al investigate the predictive value of T lymphocyte proportion in Alzheimer's disease (AD) prognosis. Through a retrospective study involving 62 AD patients, they found that a decrease in T lymphocyte proportion correlated with a poorer prognosis, as indicated by higher modified Rankin scale scores. While the study highlights the potential of T lymphocyte proportion as a prognostic marker, it suggests the need for larger, multicenter studies to enhance generalizability and validity. Additionally, future research could use cognitive exams when evaluating prognosis and delve into immune mechanisms underlying AD progression. Despite limitations inherent in retrospective designs, Bai et al's work contributes to understanding the immune system's role in AD prognosis, paving the way for further exploration in this under-researched area.
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Affiliation(s)
- Matthew Willman
- College of Medicine, University of Florida, Gainesville, FL 32610, United States
| | - Gopi Patel
- College of Medicine, University of Florida, Gainesville, FL 32610, United States
| | - Brandon Lucke-Wold
- Department of Neurosurgery, University of Florida, Gainesville, FL 32611, United States
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Zhang A, Pan C, Wu M, Lin Y, Chen J, Zhong N, Zhang R, Pu L, Han L, Pan H. Causal association between plasma metabolites and neurodegenerative diseases. Prog Neuropsychopharmacol Biol Psychiatry 2024; 134:111067. [PMID: 38908505 DOI: 10.1016/j.pnpbp.2024.111067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 06/06/2024] [Accepted: 06/19/2024] [Indexed: 06/24/2024]
Abstract
BACKGROUND Establishing causal relationships between metabolic biomarkers and neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD) is a challenge faced by observational studies. In this study, our aim was to investigate the causal associations between plasma metabolites and neurodegenerative diseases using Mendelian Randomization (MR) methods. METHODS We utilized genetic associations with 1400 plasma metabolic traits as exposures. We used large-scale genome-wide association study (GWAS) summary statistics for AD and PD as our discovery datasets. For validation, we performed repeated analyses using different GWAS datasets. The main statistical method employed was inverse variance-weighted (IVW). We also conducted enrichment pathway analysis for IVW-identified metabolites. RESULTS In the discovered dataset, there are a total of 69 metabolites (36 negatively, 33 positively) potentially associated with AD, and 47 metabolites (24 negatively, 23 positively) potentially associated with PD. Among these, 4 significant metabolites overlap with significant metabolites (PIVW < 0.05)in the validation dataset for AD, and 1 metabolite overlaps with significant metabolites in the validation dataset for PD. Three metabolites serve as common potential metabolic markers for both AD and PD, including Tryptophan betaine, Palmitoleoylcarnitine (C16:1), and X-23655 levels. Further pathway enrichment analysis suggests that the SLC-mediated transmembrane transport pathway, involving tryptophan betaine and carnitine metabolites, may represent potential intervention targets for treating AD and PD. CONCLUSION This study offers novel insights into the causal effects of plasma metabolites on degenerative diseases through the integration of genomics and metabolomics. The identification of metabolites and metabolic pathways linked to AD and PD enhances our comprehension of the underlying biological mechanisms and presents promising targets for future therapeutic interventions in AD and PD.
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Affiliation(s)
- Ao Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Congcong Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Meifen Wu
- Department of Endocrinology, The First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Yue Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Jiashen Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Ni Zhong
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Ruijie Zhang
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life Sciences and Health Industry Research Institute, Chinese Academy of Sciences, Ningbo, Zhejiang Province, China
| | - Liyuan Pu
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life Sciences and Health Industry Research Institute, Chinese Academy of Sciences, Ningbo, Zhejiang Province, China
| | - Liyuan Han
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life Sciences and Health Industry Research Institute, Chinese Academy of Sciences, Ningbo, Zhejiang Province, China.
| | - Haiyan Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China.
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Ren Y, Zhang H. The causal effect of inflammatory proteins and immune cell populations on diabetic nephropathy: evidence from Mendelian randomization. Int Urol Nephrol 2024; 56:2769-2778. [PMID: 38520496 DOI: 10.1007/s11255-024-04017-5] [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: 11/23/2023] [Accepted: 02/29/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Diabetic nephropathy (DN) is one of the diabetic microvascular complications with complex pathophysiology, and exploring the landscape of immune dysregulation in DN is valuable for pathogenesis and disease treatment. We crystallized possible inflammatory exposures into 91 circulating inflammatory proteins and 109 blood immune cells; and assessed the causal relationship between inflammation and DN using Mendelian randomization (MR). METHODS Based on publicly available genetic data, we explored causal associations between inflammation and DN risk by two-sample MR analysis. Genome-wide association study (GWAS) summary statistics for 91 circulating inflammatory proteins, 109 immune cells absolute counts, and DN were acquired from the GWAS Catalog. Inverse Variance Weighted (IVW) was the main MR method, while MR-Egger and MR-pleiotropy residuals and outliers (MR-PRESSO) were utilized for sensitivity analysis. Cochrane's Q was used to test for heterogeneity. The leave-one-out method ensured the stability of the MR results. RESULTS This study revealed that higher levels of TNF-related activation-induced cytokine and tumor necrosis factor ligand superfamily member 14 were possibly associated with the increased risk of DN according to the IVW approach, with estimated odds ratios (OR) of 1.287 (95% confidence interval [CI] 1.051 to 1.577, P = 0.015) and 1.249 (95% CI 1.018 to 1.532, P = 0.033). Five immune cell traits were identified that might be linked to increased DN risk, including the higher absolute counts of HLA DR+ natural killer cell (OR = 1.248, 95% CI 1.055 to 1.476, P = 0.010), IgD+ CD38+ B cell (OR = 1.148, 95% CI 1.033 to 1.276, P = 0.010), CD25++ CD8+ T cell (OR = 1.159, 95% CI 1.032 to 1.302, P = 0.013), CD4- CD8- T cell (OR = 1.226, 95% CI 1.032 to 1.457, P = 0.020), and IgD- CD38- B cell (OR = 1.182, 95% CI 1.009 to 1.386, P = 0.039). In addition, elevated levels of interleukin-1 alpha (OR = 0.712, 95% CI 0.514 to 0.984, P = 0.040) and unswitched memory B cell (OR = 0.797, 95% CI 0.651 to 0.974, P = 0.027) may reduce the risk of developing DN. CONCLUSION We identified inflammation-related exposures that may be associated with the risk of DN at the level of genetic prediction, which contributes to a better understanding of the etiologic of DN and facilitates the development of targeted therapies for DN.
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Affiliation(s)
- Yi Ren
- Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- International Center of Microvascular Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Department of Pathology and Pathophysiology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Honggang Zhang
- Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
- International Center of Microvascular Medicine, Chinese Academy of Medical Sciences, Beijing, China.
- Department of Pathology and Pathophysiology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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11
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Chen A, Wang Y, Hu YQ. Exploring Causal Relationships Between Gut Microbiota and Alzheimer's Disease: A Bidirectional Mendelian Randomization Study. J Alzheimers Dis Rep 2024; 8:1031-1040. [PMID: 39114549 PMCID: PMC11305842 DOI: 10.3233/adr-240071] [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: 04/18/2024] [Accepted: 06/07/2024] [Indexed: 08/10/2024] Open
Abstract
Background Many observational studies have investigated the link between the gut microbiota and Alzheimer's disease (AD), but the causality remains uncertain. Objective This study aimed to evaluate the causal impact of gut microbiota on AD. Methods A two-sample Mendelian randomization (MR) study was conducted employing summary data. Summary statistics for AD were from the latest genome-wide association study (cases and proxy cases: 85,934; controls: 401,577). Summary data for gut microbiota were acquired from MiBioGen consortium. Causal effect estimations primarily relied on the inverse variance weighting method along with the sensitivity analyses for testing for pleiotropy and heterogeneity. Additionally, reverse MR analyses were performed to examine potential reverse causality. Results Seven gut microbiota were identified as associated with AD risk. Order Selenomonadales (odds ratio [OR] 1.13, 95% confidence interval [CI] 1.03-1.24, p = 0.01), Family Pasteurellaceae (OR 1.07, 95% CI 1.01-1.13, p = 0.01), and Genus Methanobrevibacter (OR 1.07, 95% CI 1.00-1.13, p = 0.04) were correlated with an elevated likelihood of AD, while Class Mollicutes (OR 0.87, 95% CI 0.79-0.95, p = 0.00), Genus Ruminiclostridium9 (OR 0.87, 95% CI 0.78-0.97, p = 0.01), Genus Clostridiuminnocuumgroup (OR 0.94, 95% CI 0.89-0.99, p = 0.03), and Genus Eggerthella (OR 0.94, 95% CI 0.89-1.00, p = 0.04) exerted beneficial impact in mitigating AD. No statistically significant reverse causality was found between AD and each of these seven specific gut microbiota species. Conclusions This study unveiled a causal link between certain gut microbiota and AD, offering new insights for advancing clinical treatments.
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Affiliation(s)
- Anqi Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Yuquan Wang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Yue-Qing Hu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Shanghai Center for Mathematical Sciences, Fudan University, Shanghai, China
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12
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Ren Y, Zhang H. A Mendelian randomization study investigating the causal relationships between inflammation and immunoglobulin A nephropathy. Hum Immunol 2024; 85:110830. [PMID: 38861759 DOI: 10.1016/j.humimm.2024.110830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 04/27/2024] [Accepted: 06/06/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND Immunoglobulin A nephropathy (IgAN) is an autoimmune disease characterized by the production of galactose‑deficient IgA1 (Gd‑IgA1) and the deposition of immune complexes in the kidney. Exploring the landscape of immune dysregulation in IgAN is valuable for pathogenesis and disease treatment. We conducted Mendelian randomization (MR) to assess the causal correlations between inflammation and IgAN. METHODS Based on available genetic datasets, we investigated potential causal links between inflammation and the risk of IgAN using two-sample MR. We used genome-wide association study (GWAS) summary statistics of 5 typical inflammation markers, 41 inflammatory cytokines, and 731 immune cell signatures, accessed from the public GWAS Catalog. The primary method employed for MR analysis was Inverse Variance Weighted (IVW). To confirm consistency across results, four supplementary MR methods were also conducted: MR-Egger, Weighted Median, Weighted Mode, and Simple Mode. To assess pleiotropy, we used the MR-Egger regression intercept test and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) test. Cochrane's Q statistic was applied to evaluate heterogeneity. Additionally, the stability of the MR findings was verified through the leave-one-out sensitivity analysis. RESULTS This study revealed that interleukin-7 (IL-7) and stem cell growth factor beta (SCGF-β) were possibly associated with the risk of IgAN according to the IVW approach, with estimated odds ratios (OR) of 1.059 (95 % confidence interval [CI] 1.015 to 1.104, P = 0.008) and 1.043 (95 % CI 1.002 to 1.085, P = 0.037). Five immune traits were identified that might be linked to IgAN risk, each with P-values below 0.01, including natural killer T %T cell (OR = 1.058, 95 % CI: 1.020 to 1.097, P = 0.002), natural killer T %lymphocyte (OR = 1.055, 95 % CI: 1.016 to 1.096, P = 0.006), CD25++ CD8+ T cell %T cell (OR = 1.057, 95 % CI: 1.016 to 1.099, P = 0.006), CD3 on effector memory CD4+ T cell (OR = 1.045, 95 % CI: 1.019 to 1.071, P = 0.001), and CD3 on CD28+ CD45RA+ CD8+ T cell (OR = 1.042, 95 % CI: 1.016 to 1.068, P = 0.001). CD4 on central memory CD4+ T cell might be a protective factor for IgAN (OR = 0.922, 95 % CI: 0.875 to 0.971, P = 0.002). Moreover, IgAN may be implicated in a high risk of elevated granulocyte colony-stimulating factor (G-CSF) (OR = 1.114, 95 % CI 1.002 to 1.239, P = 0.046). CONCLUSION Our study revealed exposures among typical inflammation markers, inflammatory cytokines, and immune cell signatures that may potentially linked to IgAN risk by MR analysis. This insight may advance our understanding of the etiology of IgAN and support the development of targeted therapeutic strategies.
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Affiliation(s)
- Yi Ren
- Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; International Center of Microvascular Medicine, Chinese Academy of Medical Sciences, Beijing, China; Department of Pathology and Pathophysiology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Honggang Zhang
- Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; International Center of Microvascular Medicine, Chinese Academy of Medical Sciences, Beijing, China; Department of Pathology and Pathophysiology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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13
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Ma X, Wang Y, Chen X, Guo J. The levels of circulating cytokines and risk of neuromyelitis optica spectrum disorder: a Mendelian randomization study. Front Immunol 2024; 15:1418309. [PMID: 39011048 PMCID: PMC11246864 DOI: 10.3389/fimmu.2024.1418309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 06/14/2024] [Indexed: 07/17/2024] Open
Abstract
Background Neuromyelitis optica spectrum disorder (NMOSD) is an inflammatory autoimmune disease affecting the central nervous system (CNS). NMOSD pathogenesis involves systemic inflammation. However, a causal relationship between circulating cytokine levels and NMOSD remains unclear. Methods Mendelian randomization (MR) approaches were used to investigate the potential association between genetically determined circulating 19 inflammatory cytokines and 12 chemokines levels and the risk of developing NMOSD. Results After Bonferroni correction, the risk of aquaporin 4-antibody (AQP4-ab)-positive NMOSD was suggested to be causally associated with the circulating levels of three cytokines, including interleukin (IL)-4 [odds ratio (OR): 11.01, 95% confidence interval (CI): 1.16-104.56, P = 0.037], IL-24 (OR: 161.37; 95% CI: 2.46-10569.21, P = 0.017), and C-C motif chemokine 19 (CCL19) (OR: 6.87, 95% CI: 1.78-26.93, P = 0.006). Conclusion These findings suggest that a genetic predisposition to higher levels of IL-4, IL-24, and CCL19 may exert a causal effect on the risk of AQP4-ab-positive NMOSD. Further studies are warranted to clarify how these cytokines affect the development of AQP4-ab-positive NMOSD.
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Affiliation(s)
- Xue Ma
- Department of Neurology, Tangdu Hospital, Air Force Medical University, Xi'an, China
- Department of Neurology, The First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China
| | - Yao Wang
- Department of Neurology, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Xin Chen
- Department of Neurology, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Jun Guo
- Department of Neurology, Tangdu Hospital, Air Force Medical University, Xi'an, China
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AmeliMojarad M, AmeliMojarad M. The neuroinflammatory role of microglia in Alzheimer's disease and their associated therapeutic targets. CNS Neurosci Ther 2024; 30:e14856. [PMID: 39031970 PMCID: PMC11259573 DOI: 10.1111/cns.14856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 06/17/2024] [Accepted: 07/02/2024] [Indexed: 07/22/2024] Open
Abstract
INTRODUCTION Alzheimer's disease (AD), the main cause of dementia, is characterized by synaptic loss and neurodegeneration. Amyloid-β (Aβ) accumulation, hyperphosphorylation of tau protein, and neurofibrillary tangles (NFTs) in the brain are considered to be the initiating factors of AD. However, this hypothesis falls short of explaining many aspects of AD pathogenesis. Recently, there has been mounting evidence that neuroinflammation plays a key role in the pathophysiology of AD and causes neurodegeneration by over-activating microglia and releasing inflammatory mediators. METHODS PubMed, Web of Science, EMBASE, and MEDLINE were used for searching and summarizing all the recent publications related to inflammation and its association with Alzheimer's disease. RESULTS Our review shows how inflammatory dysregulation influences AD pathology as well as the roles of microglia in neuroinflammation, the possible microglia-associated therapeutic targets, top neuroinflammatory biomarkers, and anti-inflammatory drugs that combat inflammation. CONCLUSION In conclusion, microglial inflammatory reactions are important factors in AD pathogenesis and need to be discussed in more detail for promising therapeutic strategies.
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Affiliation(s)
- Melika AmeliMojarad
- Department of Bioprocess Engineering, Institute of Industrial and Environmental BiotechnologyNational Institute of Genetic Engineering and BiotechnologyTehranIran
| | - Mandana AmeliMojarad
- Department of Bioprocess Engineering, Institute of Industrial and Environmental BiotechnologyNational Institute of Genetic Engineering and BiotechnologyTehranIran
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15
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Mo N, Yang Y, Wang W, Zhou P, Liu F, Zhang Y, Zhang J, Han L, Lu C. Causal associations between psoriasis, eczema, urticaria, and mental illness: A bidirectional Mendelian randomization study of the European population. Medicine (Baltimore) 2024; 103:e38586. [PMID: 38941419 PMCID: PMC11466097 DOI: 10.1097/md.0000000000038586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Accepted: 05/23/2024] [Indexed: 06/30/2024] Open
Abstract
Observational studies have reported a relationship between multiple common dermatoses and mental illness. To assess the potential bidirectional causality between 3 skin disorders (psoriasis, eczema, and urticaria) and 4 psychiatric disorders (bipolar disorder, schizophrenia, major depressive disorder, and anxiety) in the European population, we used Mendelian randomization (MR) analysis, which provides definitive evidence for causal inference. Eligible single nucleotide polymorphisms were screened for dermatological and psychiatric disorders using a genome-wide association study database. We conducted bidirectional, 2-sample MR analysis using instrumental variables related to psoriasis, eczema, and urticaria as exposure factors, and bipolar disorder, schizophrenia, major depression, and anxiety as outcomes. Reverse MR analysis with bipolar disorder, schizophrenia, major depression, and anxiety as exposure and psoriasis, eczema, and urticaria as outcomes were also performed, and the causality was analyzed using inverse-variance weighting (IVW), MR-Egger, and weighted median methods. To thoroughly assess causality, sensitivity analyses were conducted using the IVW, MR-PRESSO, and MR-Egger methods. The results showed that bipolar disorder increased the incidence of psoriasis (odds ratio = 1.271, 95% confidence interval = 1.003-1.612, P = .047), heterogeneity test with Cochran Q test in the IVW showed P value > .05, (P = .302), the MR-Pleiotropy and MR-PRESSO (outlier methods) in the multiplicity test showed P value > .05, (P = .694; P = .441), and MR-Pleiotropy evidence showed no apparent intercept (intercept = -0.060; SE = 0.139; P = .694). Major depression increased the risk of eczema (odds ratio = 1.002, 95% confidence interval = 1.000-1.004, P = .024), heterogeneity test showed P value > .05, (P = .328), multiplicity detection showed P value > .05, (P = .572; P = .340), and MR-Pleiotropy evidence showed no apparent intercept (intercept = -0.099; SE = 0.162; P = .572). Sensitivity analyses of the above results were reliable, and no heterogeneity or multiplicity was found. This study demonstrated a statistically significant causality between bipolar disorder and psoriasis, major depression, and eczema in a European population, which could provide important information for physicians in the clinical management of common skin conditions.
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Affiliation(s)
- Nian Mo
- The Second Clinical College of Guangzhou University of Chinese Medicine in Guangzhou, Guangzhou, China
| | - Yujie Yang
- The Second Clinical College of Guangzhou University of Chinese Medicine in Guangzhou, Guangzhou, China
| | - Wen Wang
- The Second Clinical College of Guangzhou University of Chinese Medicine in Guangzhou, Guangzhou, China
| | - Panyu Zhou
- The Second Clinical College of Guangzhou University of Chinese Medicine in Guangzhou, Guangzhou, China
| | - Fanlu Liu
- The Second Clinical College of Guangzhou University of Chinese Medicine in Guangzhou, Guangzhou, China
| | - Yating Zhang
- Dongguan Hospital of Guangzhou University of Chinese Medicine, Dongguan, China
| | - Junhong Zhang
- The Second Clinical College of Guangzhou University of Chinese Medicine in Guangzhou, Guangzhou, China
| | - Ling Han
- The Second Clinical College of Guangzhou University of Chinese Medicine in Guangzhou, Guangzhou, China
- State Key Laboratory of TCM Moisture Syndrome at the Second Affiliated Hospital of Guangzhou University of Chinese Medicine in Guangzhou, Guangzhou, China
- Guangdong-Hong Kong-Macao Joint Laboratory of TCM and Immune Disease Research in Guangzhou, Guangzhou, China
- Guangdong Province Hospital of Chinese Medicine in Guangzhou, Guangzhou, China
| | - Chuanjian Lu
- The Second Clinical College of Guangzhou University of Chinese Medicine in Guangzhou, Guangzhou, China
- State Key Laboratory of TCM Moisture Syndrome at the Second Affiliated Hospital of Guangzhou University of Chinese Medicine in Guangzhou, Guangzhou, China
- Guangdong-Hong Kong-Macao Joint Laboratory of TCM and Immune Disease Research in Guangzhou, Guangzhou, China
- Guangdong Province Hospital of Chinese Medicine in Guangzhou, Guangzhou, China
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16
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Lu J, Wang X, Xu F, Rao C, Guo Y, Su Z, Chen S, Li Q. Exploring causal correlations of inflammatory biomarkers in idiopathic normal-pressure hydrocephalus: insights from bidirectional Mendelian randomization analysis. Front Aging Neurosci 2024; 16:1412434. [PMID: 38974901 PMCID: PMC11224557 DOI: 10.3389/fnagi.2024.1412434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 06/11/2024] [Indexed: 07/09/2024] Open
Abstract
Background and objective Neuroinflammatory processes have been identified as playing a crucial role in the pathophysiology of various neurodegenerative diseases, including idiopathic normal-pressure hydrocephalus (iNPH). iNPH, defined as a common disease of cognitive impairment in older adults, poses major challenges for therapeutic interventions owing to the stringent methodological requirements of relevant studies, clinical heterogeneity, unclear etiology, and uncertain diagnostic criteria. This study aims to assess the relationship between circulating inflammatory biomarkers and iNPH risk using bidirectional two-sample Mendelian randomization (MR) combined with meta-analysis. Methods In our bidirectional MR study, genetic data from a genome-wide association study (GWAS) involving 1,456 iNPH cases and 409,726 controls of European ancestry were employed. Single-nucleotide polymorphisms (SNPs) associated with exposures served as instrumental variables for estimating the causal relationships between iNPH and 132 types of circulating inflammatory biomarkers from corresponding GWAS data. Causal associations were primarily examined using the inverse variance-weighted method, supplemented by MR-Egger, weighted median, simple mode, and weighted mode analyses. In the results, heterogeneity was assessed using the Cochran Q test. Horizontal pleiotropy was evaluated through the MR-Egger intercept test and the MR pleiotropy residual sum and outliers test. Sensitivity analysis was conducted through leave-one-out analysis. Reverse MR analyses were performed to mitigate bias from reverse causality. Meta-analyses of identical inflammatory biomarkers from both data sources strengthened the findings. Results Results indicated a genetically predicted association between Interleukin-16 (IL-16) [OR: 1.228, 95% CI: 1.049-1.439, p = 0.011], TNF-related apoptosis ligand (TRAIL) [OR: 1.111, 95% CI: 1.019-1.210, p = 0.017] and Urokinase-type plasminogen activator (uPA) [OR: 1.303, 95% CI: 1.025-1.658, p = 0.031] and the risk of iNPH. Additionally, changes in human Glial cell line-derived neurotrophic factor (hGDNF) [OR: 1.044, 95% CI: 1.006-1.084, p = 0.023], Matrix metalloproteinase-1 (MMP-1) [OR: 1.058, 95% CI: 1.020, 1.098, p = 0.003] and Interleukin-12p70 (IL-12p70) [OR: 0.897, 95% CI: 0.946-0.997, p = 0.037] levels were identified as possible consequences of iNPH. Conclusion Our MR study of inflammatory biomarkers and iNPH, indicated that IL-16, TRAIL, and uPA contribute to iNPH pathogenesis. Furthermore, iNPH may influence the expression of hGDNF, MMP-1, and IL-12p70. Therefore, targeting specific inflammatory biomarkers could be promising strategy for future iNPH treatment and prevention.
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Affiliation(s)
- Jianglong Lu
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xianpeng Wang
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Fanjie Xu
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Changjun Rao
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuhang Guo
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zhipeng Su
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Siyan Chen
- Department of Neurology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Qun Li
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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Wang Z, Zhang L, Lu B, Sun H, Zhong S. Causal relationships between circulating inflammatory cytokines and diabetic neuropathy: A Mendelian Randomization study. Cytokine 2024; 177:156548. [PMID: 38395012 DOI: 10.1016/j.cyto.2024.156548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/11/2024] [Accepted: 02/14/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND Emerging evidence suggests systemic inflammation as a critical mechanism underlying diabetic neuropathy. This study aimed to investigate the causal relationship between 41 circulating inflammatory cytokines and diabetic neuropathy. METHODS Summary statistics from previous Genome-Wide Association studies (GWAS) included pooled data on 41 inflammatory cytokines and diabetic neuropathy. A two-sample Mendelian Randomization (MR) design was employed, and the robustness of the results was confirmed through comprehensive sensitivity analyses. RESULTS Our study reveals that the linkage between increased levels of IFN_G (OR = 1.31, 95 %CI: 1.06-1.63; P = 0.014), IP_10 (OR = 1.18, 95 %CI: 1.01-1.36; P = 0.031) and an elevated risk of diabetic neuropathy. Conversely, higher levels of IL_9 (OR = 0.86, 95 %CI: 0.75-1.00; P = 0.048) and SCF (OR = 0.83, 95 %CI: 0.73-0.94; P = 0.003) are genetically determined to protect against diabetic neuropathy. Furthermore, the sensitivity analysis affirmed the results' dependability, revealing no heterogeneity or pleiotropy. CONCLUSION Our MR research identified four upstream inflammatory cytokines implicated in diabetic neuropathy. Overall, these findings suggest the potential for innovative therapeutic strategies. Further large-scale cohort studies are required for validation.
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Affiliation(s)
- Zhaoxiang Wang
- Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu 215300, China
| | - Li Zhang
- Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu 215300, China
| | - Bing Lu
- Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu 215300, China
| | - Heping Sun
- Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu 215300, China
| | - Shao Zhong
- Department of Clinical Nutrition, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, 215300, China.
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18
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Long J, Dang H, Su W, Moneruzzaman M, Zhang H. Interactions between circulating inflammatory factors and autism spectrum disorder: a bidirectional Mendelian randomization study in European population. Front Immunol 2024; 15:1370276. [PMID: 38742104 PMCID: PMC11089225 DOI: 10.3389/fimmu.2024.1370276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 04/16/2024] [Indexed: 05/16/2024] Open
Abstract
Background Extensive observational studies have reported an association between inflammatory factors and autism spectrum disorder (ASD), but their causal relationships remain unclear. This study aims to offer deeper insight into causal relationships between circulating inflammatory factors and ASD. Methods Two-sample bidirectional Mendelian randomization (MR) analysis method was used in this study. The genetic variation of 91 circulating inflammatory factors was obtained from the genome-wide association study (GWAS) database of European ancestry. The germline GWAS summary data for ASD were also obtained (18,381 ASD cases and 27,969 controls). Single nucleotide polymorphisms robustly associated with the 91 inflammatory factors were used as instrumental variables. The random-effects inverse-variance weighted method was used as the primary analysis, and the Bonferroni correction for multiple comparisons was applied. Sensitivity tests were carried out to assess the validity of the causal relationship. Results The forward MR analysis results suggest that levels of sulfotransferase 1A1, natural killer cell receptor 2B4, T-cell surface glycoprotein CD5, Fms-related tyrosine kinase 3 ligand, and tumor necrosis factor-related apoptosis-inducing ligand are positively associated with the occurrence of ASD, while levels of interleukin-7, interleukin-2 receptor subunit beta, and interleukin-2 are inversely associated with the occurrence of ASD. In addition, matrix metalloproteinase-10, caspase 8, tumor necrosis factor-related activation-induced cytokine, and C-C motif chemokine 19 were considered downstream consequences of ASD. Conclusion This MR study identified additional inflammatory factors in patients with ASD relative to previous studies, and raised a possibility of ASD-caused immune abnormalities. These identified inflammatory factors may be potential biomarkers of immunologic dysfunction in ASD.
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Affiliation(s)
- Junzi Long
- School of Rehabilitation, Capital Medical University, Beijing, China
- Department of Neurorehabilitation, China Rehabilitation Research Center, Beijing, China
- Division of Brain Sciences, Changping Laboratory, Beijing, China
| | - Hui Dang
- Department of Neurorehabilitation, China Rehabilitation Research Center, Beijing, China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Wenlong Su
- School of Rehabilitation, Capital Medical University, Beijing, China
- Department of Neurorehabilitation, China Rehabilitation Research Center, Beijing, China
| | - Md. Moneruzzaman
- School of Rehabilitation, Capital Medical University, Beijing, China
- Department of Neurorehabilitation, China Rehabilitation Research Center, Beijing, China
| | - Hao Zhang
- School of Rehabilitation, Capital Medical University, Beijing, China
- Department of Neurorehabilitation, China Rehabilitation Research Center, Beijing, China
- Division of Brain Sciences, Changping Laboratory, Beijing, China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
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Jin P, Jin X, He L, Liu W, Zhan Z. The casual relationship between autoimmune diseases and multiple myeloma: a Mendelian randomization study. Clin Exp Med 2024; 24:65. [PMID: 38564026 PMCID: PMC10987346 DOI: 10.1007/s10238-024-01327-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 03/07/2024] [Indexed: 04/04/2024]
Abstract
Observational studies showed possible associations between systemic lupus erythematosus and multiple myeloma. However, whether there is a casual relationship between different types of autoimmune diseases (type 1 diabetes mellitus, rheumatoid arthritis, systemic lupus erythematosus, psoriasis, multiple sclerosis, primary sclerosing cholangitis, primary biliary cirrhosis, and juvenile idiopathic arthritis) and multiple myeloma (MM) is not well known. We performed a two-sample Mendelian randomization (MR) study to estimate the casual relationship. Summary-level data of autoimmune diseases were gained from published genome-wide association studies while data of MM was obtained from UKBiobank. The Inverse-Variance Weighted (IVW) method was used as the primary analysis method to interpret the study results, with MR-Egger and weighted median as complementary methods of analysis. There is causal relationship between primary sclerosing cholangitis [OR = 1.00015, 95% CI 1.000048-1.000254, P = 0.004] and MM. Nevertheless, no similar causal relationship was found between the remaining seven autoimmune diseases and MM. Considering the important role of age at recruitment and body mass index (BMI) in MM, we excluded these relevant instrument variables, and similar results were obtained. The accuracy and robustness of these findings were confirmed by sensitivity tests. Overall, MR analysis suggests that genetic liability to primary sclerosing cholangitis could be causally related to the increasing risk of MM. This finding may serve as a guide for clinical attention to patients with autoimmune diseases and their early screening for MM.
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Affiliation(s)
- Peipei Jin
- Second School of Clinical Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Xiaoqing Jin
- Emergency Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Li He
- Department of Hematology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuhan, 430071, Hubei, China.
| | - Wen Liu
- Second School of Clinical Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Zhuo Zhan
- Second School of Clinical Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
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20
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Yang M, Wan X, Su Y, Xu K, Wen P, Zhang B, Liu L, Yang Z, Xu P. The genetic causal relationship between type 2 diabetes, glycemic traits and venous thromboembolism, deep vein thrombosis, pulmonary embolism: a two-sample Mendelian randomization study. Thromb J 2024; 22:33. [PMID: 38553747 PMCID: PMC10979561 DOI: 10.1186/s12959-024-00600-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/20/2024] [Indexed: 04/02/2024] Open
Abstract
OBJECTIVE To investigate the genetic underpinnings of the association between type 2 diabetes (T2D), glycemic indicators such as fasting glucose (FG), fasting insulin (FI), and glycated hemoglobin (GH), and venous thromboembolism (VTE), encompassing deep vein thrombosis (DVT) and pulmonary embolism (PE), thereby contributing novel insights to the scholarly discourse within this domain. METHODS Genome-wide association study (GWAS) summary data pertaining to exposures (T2D, FG, FI, GH) and outcomes (VTE, DVT, PE) were acquired from the IEU Open GWAS database, encompassing participants of European descent, including both male and female individuals. Two-sample Mendelian randomization (MR) analyses were conducted utilizing the TwoSampleMR and MRPRESSO packages within the R programming environment. The primary analytical approach employed was the random-effects inverse variance weighted (IVW) method. Heterogeneity was assessed via Cochran's Q statistic for MR-IVW and Rucker's Q statistic for MR-Egger. Horizontal pleiotropy was evaluated using the intercept test of MR Egger and MR pleiotropy residual sum and outlier (MR-PRESSO) analysis, with the latter also employed for outlier detection. Additionally, a "Leave one out" analysis was conducted to ascertain the influence of individual single nucleotide polymorphisms (SNPs) on MR results. RESULTS The random-effects IVW analysis revealed a negative genetic causal association between T2D) and VTE (P = 0.008, Odds Ratio [OR] 95% confidence interval [CI] = 0.896 [0.827-0.972]), as well as between FG and VTE (P = 0.002, OR 95% CI = 0.655 [0.503-0.853]), GH and VTE (P = 0.010, OR 95% CI = 0.604 [0.412-0.884]), and GH and DVT (P = 0.002, OR 95% CI = 0.413 [0.235-0.725]). Conversely, the random-effects IVW analysis did not detect a genetic causal relationship between FI and VTE (P > 0.05), nor between T2D, FG, or FI and DVT (P > 0.05), or between T2D, FG, FI, or GH and PE (P > 0.05). Both the Cochran's Q statistic for MR-IVW and Rucker's Q statistic for MR-Egger indicated no significant heterogeneity (P > 0.05). Moreover, the intercept tests of MR Egger and MR-PRESSO suggested the absence of horizontal pleiotropy (P > 0.05). MR-PRESSO analysis identified no outliers, while the "Leave one out" analysis underscored that the MR analysis was not influenced by any single SNP. CONCLUSION Our investigation revealed that T2D, FG, and GH exhibit negative genetic causal relationships with VTE at the genetic level, while GH demonstrates a negative genetic causal relationship with DVT at the genetic level. These findings furnish genetic-level evidence warranting further examination of VTE, DVT, and PE, thereby making a contribution to the advancement of related research domains.
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Affiliation(s)
- Mingyi Yang
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China
| | - Xianjie Wan
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China
| | - Yani Su
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China
| | - Ke Xu
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China
| | - Pengfei Wen
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China
| | - Binfei Zhang
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China
| | - Lin Liu
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China
| | - Zhi Yang
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China
| | - Peng Xu
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China.
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Jin Y, Han C, Yang D, Gao S. Association between gut microbiota and diabetic nephropathy: a mendelian randomization study. Front Microbiol 2024; 15:1309871. [PMID: 38601939 PMCID: PMC11004376 DOI: 10.3389/fmicb.2024.1309871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 03/11/2024] [Indexed: 04/12/2024] Open
Abstract
Background The correlation between diabetic nephropathy (DN) and gut microbiota (GM) has been suggested in numerous animal experiments and cross-sectional studies. However, a causal association between GM and DN has not been ascertained. Methods This research adopted MR analysis to evaluate the causal link between GM and DN derived from data acquired through publicly available genome-wide association studies (GWAS). The study utilized the inverse variance weighted (IVW) approach to assess causal association between GM and DN. Four additional methods including MR-Egger, weighted median, weighted mode, and simple mode were employed to ensure comprehensive analysis and robust results. The Cochran's Q test and the MR-Egger method were conducted to identify heterogeneity and horizontal pleiotropy, respectively. The leave-one-out approach was utilized to evaluate the stability of MR results. Finally, a reverse MR was performed to identify the reverse causal association between GM and DN. Results According to IVW analysis, Class Verrucomicrobiae (p = 0.003), Order Verrucomicrobiales (p = 0.003), Family Verrucomicrobiaceae (p = 0.003), Genus Akkermansia (p = 0.003), Genus Catenibacterium (p = 0.031), Genus Coprococcus 1 (p = 0.022), Genus Eubacterium hallii group (p = 0.018), and Genus Marvinbryantia (p = 0.023) were associated with a higher risk of DN. On the contrary, Class Actinobacteria (p = 0.037), Group Eubacterium ventriosum group (p = 0.030), Group Ruminococcus gauvreauii group (p = 0.048), Order Lactobacillales (p = 0.045), Phylum Proteobacteria (p = 0.017) were associated with a lower risk of DN. The sensitivity analysis did not identify any substantial pleiotropy or heterogeneity in the outcomes. We found causal effects of DN on 11 GM species in the reverse MR analysis. Notably, Phylum Proteobacteria and DN are mutually causalities. Conclusion This study identified the causal association between GM and DN with MR analysis, which may enhance the understanding of the intestinal-renal axis and provide novel potential targets for early non-invasive diagnosis and treatment of DN.
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Affiliation(s)
- Yongxiu Jin
- Department of Nephrology, Tangshan Gongren Hosiptal, Tangshan, China
- Graduate School, Hebei Medical University, Shijiazhuang, China
| | - Chenxi Han
- Tangshan Maternal and Child Health Hospital, Tangshan, China
| | | | - Shanlin Gao
- Department of Nephrology, Tangshan Gongren Hosiptal, Tangshan, China
- Graduate School, Hebei Medical University, Shijiazhuang, China
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22
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Li C, Tian Y, Dougarem D, Sun L, Zhong Z. Systemic inflammatory regulators and preeclampsia: a two-sample bidirectional Mendelian randomization study. Front Genet 2024; 15:1359579. [PMID: 38586585 PMCID: PMC10995280 DOI: 10.3389/fgene.2024.1359579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 03/08/2024] [Indexed: 04/09/2024] Open
Abstract
Background Systemic inflammatory regulators have been associated with preeclampsia (PE) during pregnancy; however, there is inconsistent evidence from animal models and observational results. Methods Using summary data from genome-wide association studies (GWASs), we performed a bidirectional Mendelian randomization (MR) analysis of two samples of systemic inflammatory regulators (n = 8,186) and PE (n = 267,242) individuals of European ancestry. As our primary analysis, we used the random-effects inverse-variance weighted (IVW) approach. Sensitivity and pleiotropy analyses were conducted using the MR-Egger method, weighted median, MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO), and Cochran's Q test. Results The results indicate that there is a correlation between a higher circulating level of tumor necrosis factor alpha (TNF-α) and interleukin-9 (IL-9) and an increased risk of PE (odds ratio [OR] = 1.32, 95% confidence interval [CI] = 1.09-1.60, p = 0.004 and OR = 1.28, 95% CI: 1.02-1.62, p = 0.033, respectively). Conversely, lower levels of stem cell growth factor beta (SCGF-β) (OR = 0.89, 95% CI: 0.80-0.99, p = 0.027) and interleukin-5 (IL-5) (OR = 0.80, 95% CI: 0.65-0.98, p = 0.030) are linked to an increased risk of PE. The macrophage migration inhibitory factor (MIF) is the downstream inflammatory regulator of PE, according to reverse magnetic resonance imaging studies. Conclusion Our study suggests that SCGF-β, IL-5, IL-9, and TNF-α causally affect the PE risk, while PE is causally associated with MIF. Further studies are needed to validate these biomarkers in managing PE.
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Affiliation(s)
- Chu Li
- Center for Reproductive Medicine, Department of Obstetrics, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, China
| | - Yishu Tian
- Center for Reproductive Medicine, Department of Ultrasound Medicine, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, China
| | - Djouhayna Dougarem
- Hospital of Obstetrics and Gynecology, Zhejiang University School of Medicine, Hangzhou, China
| | - Litao Sun
- Center for Reproductive Medicine, Department of Ultrasound Medicine, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, China
| | - Zixing Zhong
- Center for Reproductive Medicine, Department of Obstetrics, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, China
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Han Z, Han P, Wang F, Zheng H, Chen X, Meng H, Li F. Negative causal exploration of systemic sclerosis: a Mendelian randomization analysis. Sci Rep 2024; 14:5200. [PMID: 38431707 PMCID: PMC10908807 DOI: 10.1038/s41598-024-55808-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 02/28/2024] [Indexed: 03/05/2024] Open
Abstract
Systemic sclerosis (SSc), also known as scleroderma, is an autoimmune-related connective tissue disease with a complex and unknown pathophysiological mechanism with genes association. Several articles have reported a high prevalence of thyroid disease in SSc patients, while one study suggested a potential contribution of appendicitis to the development of SSc. To investigate this causal association, we conducted Mendelian randomization (MR) analysis using instrumental variables (IVs) to assess exposure and outcome. In the MR study involving two cohorts, all analyses were conducted using the TwoSampleMR package in R (version 4.3.0). Single nucleotide polymorphisms (SNPs) meeting a statistically significant threshold of 5E-08 were included in the analysis. Multiple complementary approaches including MR-IVW, MR-Egger, weighted median, simple mode, and weighted mode were employed to estimated the relationship between the exposure and outcome. Leave-one-out analysis and scatter plots were utilized for further investigation. Based on the locus-wide significance level, all of the MR analysis consequences manifested no causal association between the risk of appendicitis with SSc (IVW OR 0.319, 95% CI 0.063-14.055, P = 0.966). Negative causal effects of autoimmune thyroiditis (AT) on SSc (IVW OR 0.131, 95% CI 0.816-1.362, P = 0.686), Graves' disease (GD) on SSc (IVW OR 0.097, 95% CI 0.837-1.222, P = 0.908), and hypothyroidism on SSc (IVW OR 1.136, 95% CI 0.977-1.321, P = 0.096) were derived. The reverse MR revealed no significant causal effect of SSc on thyroid disease. According to the sensitivity analysis, horizontal pleiotropy was unlikely to distort the causal estimates. The consequences indicated no significant association between AT, GD, and hypothyroidism with SSc. Similarly, there was no observed relationship with appendicitis.
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Affiliation(s)
- Zesen Han
- Hua Country People's Hospital, Anyang, 456400, Henan Province, China.
| | - Peisen Han
- The Department of Computer and Information Engineering, Henan University, Kaifeng, 475001, China
| | - Fang Wang
- Hua Country People's Hospital, Anyang, 456400, Henan Province, China
| | - Huayu Zheng
- Hua Country People's Hospital, Anyang, 456400, Henan Province, China
| | - Xiujian Chen
- Hua Country People's Hospital, Anyang, 456400, Henan Province, China
| | - Hongyu Meng
- Hua Country People's Hospital, Anyang, 456400, Henan Province, China
| | - Fenglei Li
- Hua Country People's Hospital, Anyang, 456400, Henan Province, China.
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Jiang Z, Yao X, Lan W, Tang F, Ma W, Yao X, Chen C, Cai X. Associations of the circulating levels of cytokines with risk of systemic sclerosis: a bidirectional Mendelian randomized study. Front Immunol 2024; 15:1330560. [PMID: 38482004 PMCID: PMC10933062 DOI: 10.3389/fimmu.2024.1330560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/12/2024] [Indexed: 04/04/2024] Open
Abstract
Objective Systemic sclerosis(SSc) remains unclear, studies suggest that inflammation may be linked to its pathogenesis. Hence, we conducted a bidirectional Mendelian randomization (MR) analysis to evaluate the association between cytokine and growth factor cycling levels and the risk of SSc onset. Methods In our study, the instrumental variables(IVs) for circulating cytokines were sourced from the genome-wide association study (GWAS) dataset of 8293 Finnish individuals. The SSc data comprised 302 cases and 213145 controls, and was included in the GWAS dataset. We employed four methods for the MR analysis: MR Egger, Inverse variance weighted (IVW), Weighted medium, and Weighted Mode, with IVW being the primary analytical method. Sensitivity analyses were performed using heterogeneity testing, horizontal pleiotropy testing, and the Leave One Out (LOO) method. We also conducted a reverse MR analysis to determine any reverse causal relationship between SSc and circulating cytokines. Results After Bonferroni correction, MR analysis revealed that the Interleukin-5 (IL-5) cycle level was associated with a reduced risk of SSc [odds ratio (OR)=0.48,95% confidence interval (CI): 0.27-0.84, P=0.01]. It also indicated that the Stem cell growth factor beta (SCGF-β) cycling level might elevate the risk of SSc (OR = 1.36, 95% CI: 1.01-1.83, P = 0.04). However, the reverse MR analysis did not establish a causal relationship between SSc and circulating cytokine levels. Additionally, sensitivity analysis outcomes affirm the reliability of our results. Conclusion Our MR study suggests potential causal relationships between IL-5, SCGF-β, and the risk of SSc. Further research is essential to determine how IL-5 and SCGF-β influence the development of SSc.
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Affiliation(s)
- Zong Jiang
- Second Clinical Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Xiaoling Yao
- Second Clinical Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Weiya Lan
- Second Clinical Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Fang Tang
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Wukai Ma
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Xueming Yao
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Changming Chen
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Xin Cai
- Department of Rheumatology and Immunology, The First People’s Hospital Of Guiyang, Guiyang, China
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Xiong K, Zhang Q, Mao H, Congdon N, Liang Y. Assessment of Causality Between Diet-Derived Antioxidants and Primary Open-Angle Glaucoma: A Mendelian Randomization Study. Transl Vis Sci Technol 2024; 13:20. [PMID: 38411971 PMCID: PMC10910435 DOI: 10.1167/tvst.13.2.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/19/2024] [Indexed: 02/28/2024] Open
Abstract
Purpose This study aimed to investigate the genetic causal relationships among diet-derived circulating antioxidants, primary open-angle glaucoma (POAG), and glaucoma-related traits using two-sample Mendelian randomization (MR). Methods Genetic variants associated with diet-derived circulating antioxidants (retinol, ascorbate, β-carotene, lycopene, α-tocopherol, and γ-tocopherol) were assessed as absolute and metabolic instrumental variables. POAG and glaucoma-related traits data were derived from a large, recently published genome-wide association study database; these traits included intraocular pressure (IOP), macular retinal nerve fiber layer (mRNFL) thickness, macular ganglion cell-inner plexiform layer (mGCIPL) thickness, and vertical cup-to-disc ratio (vCDR). MR analyses were performed per outcome for each exposure. Results We found no causal association between six diet-derived antioxidants and POAG using the International Glaucoma Genetics Consortium data. For absolute antioxidants, the odds ratios (ORs) ranged from 1.011 (95% confidence interval [CI], 0.854-1.199; P = 0.895) per natural log-transformed β-carotene to 1.052 (95% CI, 0.911-1.215; P = 0.490) for 1 µmol/L of ascorbate. For antioxidant metabolites, the OR ranged from 0.998 (95% CI, 0.801-1.244; P = 0.989) for ascorbate to 1.210 (95% CI, 0.870-1.682; P = 0.257) for γ-tocopherol, using log-transformed levels. A similar result was obtained with the FinnGen Biobank. Furthermore, our results showed no significant genetic association between six diet-derived antioxidants and glaucoma-related traits. Conclusions Our study did not support a causal association among six diet-derived circulating antioxidants, POAG, and glaucoma-related traits. This suggests that the intake of antioxidants may not have a preventive effect on POAG and offers no protection to retinal nerve cells. Translational Relevance This study provides valid evidence regarding the use of diet-derived antioxidants for glaucoma patients.
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Affiliation(s)
- Kun Xiong
- Department of Glaucoma, National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Qi'ao Zhang
- Department of Glaucoma, National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Huiyan Mao
- Department of Glaucoma, National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Nathan Congdon
- Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Centre for Public Health, Queen's University Belfast, Belfast, UK
- Orbis International, New York, NY, USA
| | - Yuanbo Liang
- Department of Glaucoma, National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
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Jiang G, Liu W, Wang X, Wang Z, Song C, Chen R, He Z, Li H, Zheng M, Mao W. The causality between systemic inflammatory regulators and chronic respiratory diseases: A bidirectional Mendelian-randomization study. Cytokine 2024; 174:156470. [PMID: 38071841 DOI: 10.1016/j.cyto.2023.156470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 10/29/2023] [Accepted: 12/04/2023] [Indexed: 01/01/2024]
Abstract
INTRODUCTION Accumulative evidence suggests the associations between systemic inflammatory regulators and chronic respiratory diseases (CRDs). However, the intrinsic causation remains implicit. Therefore, this study aimed to examine causative associations by mendelian randomization (MR) and to identify valuable active factors. METHODS Based on data from the GWAS database, we performed MR analyses of 41 serum cytokines from 8,293 Finnish and European descent cohorts from GBMI and UKBB for five major CRDs. We mainly applied inverse variance weighted regression, supplemented by MR-Egger regression, weighted median, maximum likelihood, weighted mode, and simple mode algorithms. Moreover, sensitivity analyses were conducted using Cochrane's Q test, MR-Egger intercept, MR-PRESSO Global test and MR-Steiger filtering. Eventually, the consistency of MR results was assessed by leave-one-out. RESULTS Our results suggest that 12 genetically predicted systemic inflammatory regulators probably participate in the progression of CRDs, including four risk factors (IL-1RA, IL-4, MIP-1A, PDGF-BB) and one protective factor (IL-6) in IPF, two protective factors (SCF, SDF-1A) in COPD, and two protective factors (SCF, SDF-1A) in asthma, two protective factors (GROA, IL-2RA) were also included in asthma, whereas only one factor (HGF) was protective against bronchiectasis. Additionally, two protective factors (FGF-BASIC, G-CSF) were identified in sarcoidosis. Sensitivity analyses showed no horizontal pleiotropy and significant heterogeneity. Finally, based on the findings of inverse MR analysis, no inverse causal association was uncovered, confirming the robustness of results. CONCLUSION Our study unearths potential associations between systemic inflammatory modulators and common CRDs, providing new insights for inflammation-mediated CRD prevention and therapeutic approaches.
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Affiliation(s)
- Guanyu Jiang
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi 214023, Jiangsu, China
| | - Weici Liu
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi 214023, Jiangsu, China
| | - Xiaokun Wang
- Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China
| | - Zifeng Wang
- Department of Orthopedics, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi 214023, Jiangsu, China
| | - Chenghu Song
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi 214023, Jiangsu, China
| | - Ruo Chen
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi 214023, Jiangsu, China
| | - Zhao He
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi 214023, Jiangsu, China
| | - Huixing Li
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi 214023, Jiangsu, China
| | - Mingfeng Zheng
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi 214023, Jiangsu, China.
| | - Wenjun Mao
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi 214023, Jiangsu, China.
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Jiang Z, Cai X, Yao X, Zhang S, Lan W, Jin Z, Tang F, Ma W, Yao X, Chen C, Lan T. The causal effect of cytokine cycling levels on osteoarthritis: a bidirectional Mendelian randomized study. Front Immunol 2024; 14:1334361. [PMID: 38274820 PMCID: PMC10808687 DOI: 10.3389/fimmu.2023.1334361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 12/27/2023] [Indexed: 01/27/2024] Open
Abstract
Objective Osteoarthritis (OA) is the most prevalent joint disease globally, serving as a primary cause of pain and disability. However, the pathological processes underlying OA remain incompletely understood. Several studies have noted an association between cytokines and OA, yet the causal link between them remains ambiguous. This study aims to identify cytokines potentially causally related to OA using Mendelian randomization (MR) analysis, informing early clinical diagnosis and treatment decisions. Methods We conducted a genome-wide association study (GWAS) on 12 OA traits involving 177,517 cases and 649,173 controls from 9 international cohorts. For discovery MR analysis, we used 103 cytokines from two European populations as instrumental variables (IVs). Concurrently, another European population OA GWAS database (36,185 cases and 135,185 controls) was used to replicate MR analysis, employing the inverse variance weighted (IVW) method as the primary analytic approach. Additional methods tested included MR Egger, Weighted median, and Weighted mode. We merged the MR findings through meta-analysis. Heterogeneity testing, level pleiotropy testing (MR Egger intercept test and MRPRESSO), and sensitivity analysis via Leave One Out (LOO) were conducted to verify result robustness. Lastly, reverse MR analysis was performed. Results The meta-analysis merger revealed a correlation between CX3CL1 cycle levels and increased OA risk (OR=1.070, 95% CI: 1.040-1.110; P<0.010). We also observed associations between MCP4 (OR=0.930, 95% CI: 0.890-0.970; P<0.010) and CCL25 (OR=0.930, 95% CI: 0.890-0.970; P<0.010) with reduced OA risk. The sensitivity analysis results corroborate the robustness of these findings. Conclusion Our MR analysis indicates a potential causal relationship between CX3CL1, MCP4, CCL25, and OA risk changes. Further research is warranted to explore the influence of cytokines on OA development.
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Affiliation(s)
- Zong Jiang
- Second Clinical Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Xin Cai
- Department of Rheumatology and Immunology, The First People's Hospital Of Guiyang, Guiyang, China
| | - Xiaoling Yao
- Second Clinical Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Shaoqin Zhang
- Department of Rheumatology and Immunology, The First People's Hospital Of Guiyang, Guiyang, China
| | - Weiya Lan
- Second Clinical Medical College, Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Zexu Jin
- Department of Rheumatology and Immunology, The First People's Hospital Of Guiyang, Guiyang, China
| | - Fang Tang
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Wukai Ma
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Xueming Yao
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Changming Chen
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Tianzuo Lan
- Department of Rheumatology and Immunology, The First People's Hospital Of Guiyang, Guiyang, China
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Fang J, Cao Y, Ni J. Circulating inflammatory biomarkers and risk of intracranial aneurysm: a Mendelian randomization study. Eur J Med Res 2024; 29:17. [PMID: 38173028 PMCID: PMC10763118 DOI: 10.1186/s40001-023-01609-2] [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: 09/11/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Intracranial aneurysm (IA) accounts for a substantial source of non-traumatic subarachnoid hemorrhage, with inflammation postulated as a potential factor in its pathogenesis. The present study aims at evaluating the association between circulating inflammatory cytokines and risk of IA under a bidirectional two-sample Mendelian randomization (MR) design. METHODS For primary analysis, summary statistics of inflammatory regulators was obtained from a genome-wide association study (GWAS) comprising 8293 Finnish participants. Summary data of IA were extracted from a GWAS which comprised 7495 cases and 71,934 controls in European descent. For targeted analysis, summary statistics were extracted from two proteomic studies, which recruit 3301 and 5368 European participants, respectively. Summary data of IA were acquired from FinnGen study with 5342 cases and 342,673 controls. We employed inverse variance weighted (IVW) method as main approach, with sensitivity analyses using weighted median, MR-Egger, and MR-PRESSO methods. Reverse MR analyses were conducted to minimize bias from reverse causality. RESULTS No causation of cytokines with IA subtypes was identified in both primary and targeted analysis after Bonferroni correction. In primary analysis, vascular endothelial growth factor (VEGF) and fibroblast growth factor basic (bFGF) levels were suggestively associated with aneurysmal subarachnoid hemorrhage (aSAH) [VEGF → aSAH: OR = 1.15, 95%CI 1.04-1.26, P = 0.005; bFGF → aSAH: OR = 0.62, 95% CI 0.42-0.92, P = 0.02]. Statistical significance failed to replicate in targeted analysis. Instead, suggestive protective effects for aSAH were identified in FGF-9 (FGF-9 → aSAH: OR = 0.74, 95% CI 0.62-0.89, P = 0.001) and FGF-16 (FGF-16 → aSAH: OR = 0.84, 95% CI 0.72-0.97, P = 0.017). Furthermore, reverse analyses identified suggestive effect of unruptured IA on RANTES, MIF, GRO-alpha, FGF-16, and FGF-19. Result remained robust after applying sensitivity tests. CONCLUSIONS No causality of inflammatory biomarkers on the risk of IA subtypes was identified. Future large-scale studies are in need to evaluate the temporal dynamics of cytokines in conjunction with IA.
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Affiliation(s)
- Jianxun Fang
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Yuze Cao
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Jun Ni
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
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You J, Wang Y, Chang X, Liu Y, He Y, Zhou X, Zou J, Xiao M, Shi M, Guo D, Shen O, Zhu Z. Association between Plasma Brain-derived Neurotrophic Factor Level and Alzheimer's Disease: A Mendelian Randomization Study. Curr Neurovasc Res 2024; 20:553-559. [PMID: 38279765 DOI: 10.2174/0115672026281995231227070637] [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: 09/13/2023] [Revised: 10/15/2023] [Accepted: 10/18/2023] [Indexed: 01/28/2024]
Abstract
BACKGROUND High brain-derived neurotrophic factor (BDNF) concentrations have been found to be associated with a decreased risk of Alzheimer's disease (AD) in observational studies, but the causality for this association remains unclear. Therefore, we aimed to examine the association between genetically determined plasma BDNF levels and AD using a two-sample Mendelian randomization (MR) method. METHODS Twenty single-nucleotide polymorphisms associated with plasma BDNF concentrations were identified as genetic instruments based on a genome-wide association study with 3301 European individuals. Summary-level data on AD were obtained from the International Genomics of Alzheimer's Project, involving 21,982 AD cases and 41,944 controls of European ancestry. To evaluate the relationship between plasma BDNF concentrations and AD, we employed the inverse-variance weighted method along with a series of sensitivity analyses. RESULTS The inverse-variance weighted MR analysis showed that genetically determined BDNF concentrations were associated with a decreased risk of AD (odds ratio per SD increase, 0.91; 95% confidence interval, 0.86-0.96; p =0.001). The association between plasma BDNF concentrations and AD was further confirmed through sensitivity analyses using different MR methods, and MR-Egger regression suggested no directional pleiotropy for this association. CONCLUSION Genetically determined BDNF levels were associated with a decreased risk of AD, suggesting that BDNF was implicated in the development of AD and might be a promising target for the prevention of AD.
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Affiliation(s)
- Jiaxing You
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yinan Wang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Xinyue Chang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yi Liu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yu He
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Xiya Zhou
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Jinyan Zou
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Meng Xiao
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Mengyao Shi
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
| | - Daoxia Guo
- School of Nursing, Suzhou Medical College of Soochow University, Suzhou, China
| | - Ouxi Shen
- Department of Occupational Health, Suzhou Industrial Park Center for Disease Control and Prevention, Suzhou, China
| | - Zhengbao Zhu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China
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Lalwani RC, Volmar CH, Wahlestedt C, Webster KA, Shehadeh LA. Contextualizing the Role of Osteopontin in the Inflammatory Responses of Alzheimer's Disease. Biomedicines 2023; 11:3232. [PMID: 38137453 PMCID: PMC10741223 DOI: 10.3390/biomedicines11123232] [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: 10/25/2023] [Revised: 12/01/2023] [Accepted: 12/03/2023] [Indexed: 12/24/2023] Open
Abstract
Alzheimer's disease (AD) is characterized by progressive accumulations of extracellular amyloid-beta (Aβ) aggregates from soluble oligomers to insoluble plaques and hyperphosphorylated intraneuronal tau, also from soluble oligomers to insoluble neurofibrillary tangles (NFTs). Tau and Aβ complexes spread from the entorhinal cortex of the brain to interconnected regions, where they bind pattern recognition receptors on microglia and astroglia to trigger inflammation and neurotoxicity that ultimately lead to neurodegeneration and clinical AD. Systemic inflammation is initiated by Aβ's egress into the circulation, which may be secondary to microglial activation and can confer both destructive and reparative actions. Microglial activation pathways and downstream drivers of Aβ/NFT neurotoxicity, including inflammatory regulators, are primary targets for AD therapy. Osteopontin (OPN), an inflammatory cytokine and biomarker of AD, is implicated in Aβ clearance and toxicity, microglial activation, and inflammation, and is considered to be a potential therapeutic target. Here, using the most relevant works from the literature, we review and contextualize the evidence for a central role of OPN and associated inflammation in AD.
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Affiliation(s)
- Roshni C. Lalwani
- Interdisciplinary Stem Cell Institute, Leonard M. Miller School of Medicine, University of Miami, Miami, FL 33136, USA;
| | - Claude-Henry Volmar
- Department of Psychiatry, Leonard M. Miller School of Medicine, University of Miami, Miami, FL 33136, USA; (C.-H.V.); (C.W.)
- Center for Therapeutic Innovation, Leonard M. Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Claes Wahlestedt
- Department of Psychiatry, Leonard M. Miller School of Medicine, University of Miami, Miami, FL 33136, USA; (C.-H.V.); (C.W.)
- Center for Therapeutic Innovation, Leonard M. Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Keith A. Webster
- Integene International Holdings, LLC, Miami, FL 33137, USA;
- Department of Ophthalmology, Baylor College of Medicine, Houston, TX 77030, USA
- Everglades BioPharma, Houston, TX 77098, USA
| | - Lina A. Shehadeh
- Interdisciplinary Stem Cell Institute, Leonard M. Miller School of Medicine, University of Miami, Miami, FL 33136, USA;
- Department of Medicine, Leonard M. Miller School of Medicine, University of Miami, Miami, FL 33136, USA
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Sun Y, Wang F, Li S. Bidirectional relationship between 56 peripheral inflammatory regulators and sleep apnea syndrome: A Mendelian randomization study. Heart Lung 2023; 62:116-121. [PMID: 37437505 DOI: 10.1016/j.hrtlng.2023.06.023] [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: 03/12/2023] [Revised: 06/20/2023] [Accepted: 06/25/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND Peripheral inflammation plays an potential role in both pathogenesis and outcomes of sleep apnea syndrome (SAS). However, this topic has not been explored at the genetic level. OBJECTIVES The aim of the study was to investigate the genetic interaction between a total of 56 peripheral inflammatory regulators and SAS, and to further reveal the genetic association of SAS-related inflammatory regulators with several neurological disorders. METHODS Summary data for SAS, cerebral atherosclerosis, vascular dementia and peripheral concentrations of these inflammatory regulators were collected from genome-wide association studies. Instrumental variables were extracted from these data for causal inference of exposure and outcome using Two-sample Mendelian randomization methods. All analyses were performed using R (version 3.5.2). RESULTS First, of the included 56 inflammatory regulators, higher IL-25 level and lower IL-23, IL-24, IL-36γ and MIP-1a levels in peripheral circulation significantly increased the risk of SAS (P<0.05). Second, SAS significantly decreased the peripheral levels of IL-17A, IL-23, IL-27, IL-36α and TRAIL (P<0.05). Third, there was no genetic relationship between SAS and other inflammatory regulators (P>0.05). Fourth, in the SAS-related inflammatory regulators mentioned above, decreased levels of IL-17A and IL-27 in peripheral circulation were significantly associated with the increased risk of cerebral atherosclerosis, and decreased level of TRAIL promoted the elevation of vascular dementia risk (P<0.05). CONCLUSION There was a interaction between peripheral inflammation and SAS at the genetic level. Furthermore, peripheral inflammation might involved in the mechanism for SAS causing some neurological diseases mentioned above.
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Affiliation(s)
- Yiran Sun
- School of Nursing, Anhui Medical University, Hefei 230601, Anhui Province, China; Operating room, Anhui Provincial Cancer Hospital, Hefei 230031, Anhui Province, China
| | - Feng Wang
- Department of Gastroenterology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Shuwen Li
- School of Nursing, Anhui Medical University, Hefei 230601, Anhui Province, China.
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Chen Y, Zeng L. Peripheral Inflammatory Factors and Acute Myocardial Infarction Risk: A Mendelian Randomization Study. Glob Heart 2023; 18:55. [PMID: 37811136 PMCID: PMC10558024 DOI: 10.5334/gh.1269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 09/05/2023] [Indexed: 10/10/2023] Open
Abstract
Background Previous observational studies have confirmed the relationship between inflammation and acute myocardial infarction (AMI), but genetic evidence is still lacking. The aim of this study was to explore the bidirectional association of multiple peripheral inflammatory factors with this disease at the genetic level. Methods Summary data for AMI and several peripheral inflammatory factors (such as interleukin-10 and interleukin-18) were collected from published genome-wide correlation studies. Based on the correlation, independence, and exclusivity assumptions, a total of 9 to 110 instrumental variables were selected from these summary data to predict the above traits. Two-sample Mendelian randomization methods, including inverse-variance weighted (IVW), were used to make causal inferences between exposures and outcomes. Sensitivity analyses including Cochran's Q, MR-Egger intercept, leave-one-out, forest plot, and MR-PRESSO were adopted to assess heterogeneity and horizontal pleiotropy. Results The IVW reported that elevated peripheral levels of interleukin-10 and interleukin-18 were nominally associated with a reduced risk of AMI (OR = 0.876, 95% CI = 0.788 ~ 0.974, P = 0.015; OR = 0.934, 95% CI = 0.875 ~ 0.997, P = 0.040). The IVW also reported that the risk of AMI nominally increased the peripheral level of interleukin-10 (OR = 1.062, 95% CI = 1.003 ~ 1.124, P = 0.040). No significant heterogeneity or horizontal pleiotropy were found by sensitivity analyses. Conclusion Both interleukin-10 and interleukin-18 were peripheral inflammatory factors genetically associated with AMI. In particular, combined with previous knowledge, interleukin-10 may have a protective effect on the onset, progression, and prognosis of the disease.
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Affiliation(s)
- Yaxi Chen
- Department of Critical Care Medicine, West China Hospital, Sichuan University, China
- West China School of Nursing, Sichuan University, Chengdu 610000, Sichuan Province, China
| | - Ling Zeng
- Department of Critical Care Medicine, West China Hospital, Sichuan University, China
- West China School of Nursing, Sichuan University, Chengdu 610000, Sichuan Province, China
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Fang T, Zhang Z, Zhou H, Wu W, Ji F, Zou L. Effect of genetic liability to migraine and its subtypes on breast cancer: a mendelian randomization study. BMC Cancer 2023; 23:887. [PMID: 37730543 PMCID: PMC10510189 DOI: 10.1186/s12885-023-11337-9] [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: 05/04/2023] [Accepted: 08/24/2023] [Indexed: 09/22/2023] Open
Abstract
BACKGROUND The relationship between migraine and breast cancer risk has generated conflicting findings. We attempted to assess the association between migraine and breast cancer risk using Mendelian randomization (MR) analysis. METHODS We selected genetic instruments associated with migraine from a recently published genome-wide association studies (GWAS). Inverse variant weighted (IVW) analysis was adopted as the main method, and we also performed the weighted-median method and the MR‒Egger, MR pleiotropy residual sum and outlier (MR-PRESSO), and MR Robust Adjusted Profile Score (MR-RAPS) methods as supplements. RESULTS Our MR suggested that any migraine (AM) was a risk factor for overall breast cancer (IVW: odds ratio (OR) = 1.072, 95% confidence intervals (CI) = 1.035-1.110, P = 8.78 × 10- 5, false discovery rate (FDR) = 7.36 × 10- 4) and estrogen receptor-positive (ER+) breast cancer (IVW: OR = 1.066, 95% CI = 1.023-1.111, P = 0.0024; FDR = 0.0108) but not estrogen receptor-negative (ER-) breast cancer. In its subtype analysis, women with a history of migraine without aura (MO) had an increased risk of ER- breast cancer (IVW: OR = 1.089, 95% CI = 1.019-1.163, P = 0.0118, FDR = 0.0354), and MO was suggestively associated with the risk of overall breast cancer (FDR > 0.05 and IVW P < 0.05). No significant heterogeneity or horizontal pleiotropy was found in the sensitivity analysis. CONCLUSION This study suggested that women with AM have an increased risk of overall breast cancer and ER + breast cancer. MO was suggestively associated with the risk of overall breast cancer and ER- breast cancer.
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Affiliation(s)
- Tian Fang
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37 Guo Xue Alley, Chengdu, Sichuan, 610041, China
| | - Zhihao Zhang
- Department of Breast Center, West China Hospital, Sichuan University, No. 37 Guo Xue Alley, Chengdu, Sichuan, 610041, China
| | - Huijie Zhou
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37 Guo Xue Alley, Chengdu, Sichuan, 610041, China
| | - Wanchun Wu
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37 Guo Xue Alley, Chengdu, Sichuan, 610041, China
| | - Fuqing Ji
- Department of Thyroid Breast Surgery, Xi'an NO.3 Hospital, the Affiliated Hospital of Northwest University, Xi'an, Shaanxi, 710018, P.R. China
| | - Liqun Zou
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37 Guo Xue Alley, Chengdu, Sichuan, 610041, China.
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Sharma HS, Feng L, Muresanu DF, Tian ZR, Lafuente JV, Buzoianu AD, Nozari A, Bryukhovetskiy I, Manzhulo I, Wiklund L, Sharma A. Stress induced exacerbation of Alzheimer's disease brain pathology is thwarted by co-administration of nanowired cerebrolysin and monoclonal amyloid beta peptide antibodies with serotonin 5-HT6 receptor antagonist SB-399885. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 171:3-46. [PMID: 37783559 DOI: 10.1016/bs.irn.2023.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Alzheimer's disease is one of the devastating neurodegenerative diseases affecting mankind worldwide with advancing age mainly above 65 years and above causing great misery of life. About more than 7 millions are affected with Alzheimer's disease in America in 2023 resulting in huge burden on health care system and care givers and support for the family. However, no suitable therapeutic measures are available at the moment to enhance quality of life to these patients. Development of Alzheimer's disease may reflect the stress burden of whole life inculcating the disease processes of these neurodegenerative disorders of the central nervous system. Thus, new strategies using nanodelivery of suitable drug therapy including antibodies are needed in exploring neuroprotection in Alzheimer's disease brain pathology. In this chapter role of stress in exacerbating Alzheimer's disease brain pathology is explored and treatment strategies are examined using nanotechnology based on our own investigation. Our observations clearly show that restraint stress significantly exacerbate Alzheimer's disease brain pathology and nanodelivery of a multimodal drug cerebrolysin together with monoclonal antibodies (mAb) to amyloid beta peptide (AβP) together with a serotonin 5-HT6 receptor antagonist SB399885 significantly thwarted Alzheimer's disease brain pathology exacerbated by restraint stress, not reported earlier. The possible mechanisms and future clinical significance is discussed.
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Affiliation(s)
- Hari Shanker Sharma
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Dept. of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden.
| | - Lianyuan Feng
- Department of Neurology, Bethune International Peace Hospital, Zhongshan Road (West), Shijiazhuang, Hebei Province, P.R. China
| | - Dafin F Muresanu
- Dept. Clinical Neurosciences, University of Medicine & Pharmacy, Cluj-Napoca, Romania; ''RoNeuro'' Institute for Neurological Research and Diagnostic, Mircea Eliade Street, Cluj-Napoca, Romania
| | - Z Ryan Tian
- Dept. Chemistry & Biochemistry, University of Arkansas, Fayetteville, AR, United States
| | - José Vicente Lafuente
- LaNCE, Dept. Neuroscience, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
| | - Anca D Buzoianu
- Department of Clinical Pharmacology and Toxicology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Ala Nozari
- Department of Anesthesiology, Boston University, Albany str, Boston, MA, United States
| | - Igor Bryukhovetskiy
- Department of Fundamental Medicine, School of Biomedicine, Far Eastern Federal University, Vladivostok, Russia; Laboratory of Pharmacology, National Scientific Center of Marine Biology, Far East Branch of the Russian Academy of Sciences, Vladivostok, Russia
| | - Igor Manzhulo
- Laboratory of Pharmacology, National Scientific Center of Marine Biology, Far East Branch of the Russian Academy of Sciences, Vladivostok, Russia
| | - Lars Wiklund
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Dept. of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden
| | - Aruna Sharma
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Dept. of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden.
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Wang J, Zhao X, Luo R, Xia D, Liu Y, Shen T, Liang Y. The causal association between systemic inflammatory regulators and primary ovarian insufficiency: a bidirectional mendelian randomization study. J Ovarian Res 2023; 16:191. [PMID: 37710281 PMCID: PMC10502980 DOI: 10.1186/s13048-023-01272-5] [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] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 09/03/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Recent studies have suggested a potential link between systemic inflammatory regulators and primary ovarian insufficiency (POI); however, a causal relationship between them remains unclear. In this study, we explored the causal link between systemic inflammatory regulators and POI risk using a bidirectional, two-sample Mendelian randomization (MR) strategy. RESULTS This approach utilized the most extensive genome-wide association study involving 41 systemic inflammatory regulators in a sample of 8,293 Finnish individuals and POI data from the FinnGen consortium (254 cases vs. 118,228 controls). The inverse variance weighting approach served as a primary MR method, and four additional MR techniques (Maximum Likelihood, MR-Egger, Weighted Median, and constrained maximum likelihood and model averaging Bayesian information criterion ) were applied to support and validate results. Cochran's Q statistics were used to assess the heterogeneity of instrumental variables, whereas the MR-Egger and MR Pleiotropy Residual Sum and Outlier tests detected horizontal pleiotropy. The MR Steiger test evaluated the strength of a causal association. Our findings suggest that lower levels of vascular endothelial growth factor (odds ratio [OR] = 0.73, 95% confidence interval [CI]: 0.54-0.99, P = 0.046) and interleukin-10 (OR = 0.54, 95% CI: 0.33-0.85, P = 0.021) are associated with an increased risk of POI. Reverse MR analysis revealed no significant effect of POI on the expression of these 41 systemic inflammatory regulators. No notable heterogeneity or horizontal pleiotropy was observed in the instrumental variables. CONCLUSIONS This study revealed a causal association between 41 systemic inflammatory regulators and POI, demonstrating that decreased levels of VEGF and IL-10 are linked to an elevated risk of POI. Further investigations are necessary to assess the potential of these biomarkers as early predictors, preventive strategies, and therapeutic targets for POI.
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Affiliation(s)
- Jiahui Wang
- School of Medicine, Southeast University, 210009, Nanjing, China
| | - Xia Zhao
- School of Medicine, Southeast University, 210009, Nanjing, China
- Department of Reproductive Medicine, Zhongda Hospital Affiliated to Southeast University, 210009, Nanjing, China
| | - Rong Luo
- Department of Reproductive Medicine, Zhongda Hospital Affiliated to Southeast University, 210009, Nanjing, China
| | - Di Xia
- School of Medicine, Southeast University, 210009, Nanjing, China
| | - Yi Liu
- School of Medicine, Southeast University, 210009, Nanjing, China
| | - Tao Shen
- Department of Reproductive Medicine, Zhongda Hospital Affiliated to Southeast University, 210009, Nanjing, China
| | - Yuanjiao Liang
- School of Medicine, Southeast University, 210009, Nanjing, China.
- Department of Reproductive Medicine, Zhongda Hospital Affiliated to Southeast University, 210009, Nanjing, China.
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Qin J, Zhang L, Ke B, Liu T, Kong C, Jin C. Causal relationships between circulating inflammatory factors and IgA vasculitis: a bidirectional Mendelian randomization study. Front Immunol 2023; 14:1248325. [PMID: 37753071 PMCID: PMC10518517 DOI: 10.3389/fimmu.2023.1248325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/29/2023] [Indexed: 09/28/2023] Open
Abstract
Background IgA vasculitis (IgAV) is an immune-associated vasculitis, yet its exact etiology remains unclear. Here, we explore the interaction between IgAV and inflammatory factors using bidirectional Mendelian randomization (MR). Methods We conducted a bidirectional summary-level MR analysis to delineate the causality of C-reactive protein (CRP), procalcitonin (PCT), and 41 circulating inflammatory regulators with IgAV. Data on genetic variants related to inflammation were obtained from three genome-wide association studies (GWASs) on CRP, PCT, and human cytokines, whereas data on IgAV was from large meta-analyses of GWAS among 216 569 FinnGen Biobank participants. The primary MR analysis was performed using the inverse-variance weighted (IVW) approach, and the sensitivity analyses were carried out using MR-Egger, weighted median, weighted mode, and MR-pleiotropy residual sum and outlier. Results This study revealed the association of CRP higher levels with increased risk of IgAV through IVW method (Estimate odds ratio [OR] = 1.41, 95% confidence interval [CI]: 1.01-1.98, P = 0.04), MR-Egger (OR = 1.87, CI: 1.15-3.02, P = 0.01), weighted median (OR = 2.00, CI: 1.21-3.30, P = 0.01) and weighted mode (OR = 1.74, CI: 1.13-2.68, P = 0.02). Furthermore, elevated IL-8 was strongly implicated with a higher risk of IgAV (IVW OR = 1.42, CI: 1.05-1.92; P = 0.02). Conversely, genetically predicted IgAV was associated with decreased levels of TNF-β (IVW estimate β = -0.093, CI: -0.178 - -0.007; P = 0.033). Additionally, no such significant statistical differences for other inflammatory factors were found. Conclusion Our current study using bidirectional MR analysis provides compelling evidence for a causal effect of CRP, PCT, and circulating inflammatory regulators on IgAV. These findings contribute to a better understanding of the pathogenesis of IgAV and emphasize the potential of targeting inflammatory factors for therapeutic interventions.
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Affiliation(s)
- Jiading Qin
- Medical College of Nanchang University, Nanchang, China
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Ling Zhang
- Medical College of Nanchang University, Nanchang, China
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Bo Ke
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
- Key Biologic Laboratory of Blood Tumor Cell of Jiangxi Province, Jiangxi Provincial People’s Hospital, Nanchang, China
| | - Tingting Liu
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Chunfang Kong
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Chenghao Jin
- Medical College of Nanchang University, Nanchang, China
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Soochow, China
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Yin Z, Chen J, Xia M, Zhang X, Li Y, Chen Z, Bao Q, Zhong W, Yao J, Wu K, Zhao L, Liang F. Assessing causal relationship between circulating cytokines and age-related neurodegenerative diseases: a bidirectional two-sample Mendelian randomization analysis. Sci Rep 2023; 13:12325. [PMID: 37516812 PMCID: PMC10387057 DOI: 10.1038/s41598-023-39520-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/26/2023] [Indexed: 07/31/2023] Open
Abstract
Numerous studies have reported that circulating cytokines (CCs) are linked to age-related neurodegenerative diseases (ANDDs); however, there is a lack of systematic investigation for the causal association. A two-sample bidirectional Mendelian Randomisation (MR) method was utilized to evaluate the causal effect. We applied genetic variants correlated with concentrations of CCs from a genome-wide association study meta-analysis (n = 8293) as instrumental variables. Summary data of three major ANDDs [Alzheimer's disease (AD), Parkinson's disease (PD), and Amyotrophic lateral sclerosis (ALS)] were identified from the IEU OpenGWAS platform (n = 627, 266). Inverse-variance weighted method is the main approach to analyse causal effect, and MR results are verified by several sensitivity and pleiotropy analyses. In directional MR, it suggested that several CCs were nominally correlated with the risk of ANDDs, with a causal odds ratio (OR) of Interleukin (IL)-5 of 0.909 for AD; OR of IL-2 of 1.169 for PD; and OR of Beta nerve growth factor of 1.142 for ALS). In reverse MR, there were some suggestively causal effects of ANDDs on CCs (AD on increased Basic fibroblast growth factor and IL-12 and decreased Stem cell growth factor beta; PD on decreased Monokine induced by interferon-gamma; ALS on decreased Basic fibroblast growth factor and IL-17). The findings were stable across sensitivity and pleiotropy analyses. However, after Bonferroni correction, there is no statistically significant association between CCs and ANDDs. Through the genetic epidemiological approach, our study assessed the role and presented possible causal associations between CCs and ANDDs. Further studies are warranted to verify the causal associations.
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Affiliation(s)
- Zihan Yin
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China
- Acupuncture Clinical Research Center of Sichuan Province, Chengdu, China
| | - Jiao Chen
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China
- Acupuncture Clinical Research Center of Sichuan Province, Chengdu, China
| | - Manze Xia
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China
- Acupuncture Clinical Research Center of Sichuan Province, Chengdu, China
| | - Xinyue Zhang
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China
- Acupuncture Clinical Research Center of Sichuan Province, Chengdu, China
| | - Yaqin Li
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China
| | - Zhenghong Chen
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China
- Acupuncture Clinical Research Center of Sichuan Province, Chengdu, China
| | - Qiongnan Bao
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China
- Acupuncture Clinical Research Center of Sichuan Province, Chengdu, China
| | - Wanqi Zhong
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China
- Acupuncture Clinical Research Center of Sichuan Province, Chengdu, China
| | - Jin Yao
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China
- Acupuncture Clinical Research Center of Sichuan Province, Chengdu, China
| | - Kexin Wu
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China
- Acupuncture Clinical Research Center of Sichuan Province, Chengdu, China
| | - Ling Zhao
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China.
- Acupuncture Clinical Research Center of Sichuan Province, Chengdu, China.
| | - Fanrong Liang
- School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, Sichuan, China.
- Acupuncture Clinical Research Center of Sichuan Province, Chengdu, China.
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Dai J, Xu Y, Wang T, Zeng P. Exploring the relationship between socioeconomic deprivation index and Alzheimer's disease using summary-level data: From genetic correlation to causality. Prog Neuropsychopharmacol Biol Psychiatry 2023; 123:110700. [PMID: 36566903 DOI: 10.1016/j.pnpbp.2022.110700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 11/04/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
Patients with Alzheimer's disease (AD) are markedly increasing as population aging and no disease-modifying therapies are currently available for AD. Previous studies suggested a broad link between socioeconomic status and a variety of disorders, including mental illness and cognitive abilities. However, the association between socioeconomic deprivation and AD has been unknown. We here employed Townsend deprivation index (TDI) to explore such relation and found a positive genetic correlation (r̂g=0.211, P = 8.00 × 10-4) between the two traits with summary statistics data (N = 455,258 for TDI and N = 455,815 for AD). Then, we performed pleiotropy analysis at both variant and gene levels using a powerful method called PLACO and detected 87 distinct pleiotropic genes. Functional analysis demonstrated these genes were significantly enriched in pancreas, liver, heart, blood, brain, and muscle tissues. Using Mendelian randomization methods, we further found that one genetically predicted standard deviation elevation in TDI could lead to approximately 18.5% (95% confidence intervals 1.6- 38.2%, P = 0.031) increase of AD risk, and that the identified causal association was robust against used MR approaches, horizontal pleiotropy, and instrumental selection. Overall, this study provides deep insight into common genetic components underlying TDI and AD, and further reveals causal connection between them. It is also helpful to develop a more suitable plan for ameliorating inequities, hardship, and disadvantage, with the hope of improving health outcomes among economically disadvantaged people.
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Affiliation(s)
- Jing Dai
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Yue Xu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China.
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Tio ES, Hohman TJ, Milic M, Bennett DA, Felsky D. Testing a polygenic risk score for morphological microglial activation in Alzheimer's disease and aging. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.10.23287119. [PMID: 36993775 PMCID: PMC10055438 DOI: 10.1101/2023.03.10.23287119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/27/2023]
Abstract
Neuroinflammation and the activation of microglial cells are among the earliest events in Alzheimer's disease (AD). However, direct observation of microglia in living people is not currently possible. Here, we indexed the heritable propensity for neuroinflammation with polygenic risk scores (PRS), using results from a recent genome-wide analysis of a validated post-mortem measure of morphological microglial activation. We sought to determine whether a PRS for microglial activation (PRS mic ) could augment the predictive performance of existing AD PRSs for late-life cognitive impairment. First, PRS mic were calculated and optimized in a calibration cohort (Alzheimer's Disease Neuroimaging Initiative (ADNI), n=450), with resampling. Second, predictive performance of optimal PRS mic was assessed in two independent, population-based cohorts (total n=212,237). Our PRS mic showed no significant improvement in predictive power for either AD diagnosis or cognitive performance. Finally, we explored associations of PRS mic with a comprehensive set of imaging and fluid AD biomarkers in ADNI. This revealed some nominal associations, but with inconsistent effect directions. While genetic scores capable of indexing risk for neuroinflammatory processes in aging are highly desirable, more well-powered genome-wide studies of microglial activation are required. Further, biobank-scale studies would benefit from phenotyping of proximal neuroinflammatory processes to improve the PRS development phase.
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Affiliation(s)
- Earvin S. Tio
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, CANADA
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, CANADA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer’s Centre, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Milos Milic
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, CANADA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL., USA
| | - Daniel Felsky
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, CANADA
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, CANADA
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, CANADA
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, CANADA
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Tamtaji OR, Heidari-Soureshjani R, Asemi Z, Kouchaki E. The effects of spirulina intake on clinical and metabolic parameters in Alzheimer's disease: A randomized, double-blind, controlled trial. Phytother Res 2023. [PMID: 36861852 DOI: 10.1002/ptr.7791] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 02/12/2023] [Accepted: 02/16/2023] [Indexed: 03/03/2023]
Abstract
The current study aimed to determine the effects of spirulina intake on cognitive function and metabolic status among patients with Alzheimer's disease (AD). This randomized, double-blind, controlled clinical trial was done among 60 subjects with AD. Patients were randomly assigned to receive either 500 mg/day spirulina or a placebo (each n = 30) twice a day for 12 weeks. Mini-mental state examination score (MMSE) was recorded in all patients before and after intervention. Blood samples were obtained at baseline and after 12 weeks' intervention to determine metabolic markers. Compared with placebo, spirulina intake resulted in a significant improvement in MMSE score (spirulina group: +0.30 ± 0.99 vs. Placebo group: -0.38 ± 1.06, respectively, p = 0.01). In addition, spirulina intake decreased high-sensitivity C-reactive protein (hs-CRP) (spirulina group: -0.17 ± 0.29 vs. Placebo group: +0.05 ± 0.27 mg/L, p = 0.006), fasting glucose (spirulina group: -4.56 ± 7.93 vs. Placebo group: +0.80 ± 2.95 mg/dL, p = 0.002), insulin (spirulina group: -0.37 ± 0.62 vs. Placebo group: +0.12 ± 0.40 μIU/mL, p = 0.001) and insulin resistance (spirulina group: -0.08 ± 0.13 vs. Placebo group: 0.03 ± 0.08, p = 0.001), and increased insulin sensitivity (spirulina group: +0.003 ± 0.005 vs. Placebo group: -0.001 ± 0.003, p = 0.003) compared with the placebo. Overall, our study showed that spirulina intake for 12 weeks in patients with AD improved cognitive function, glucose homeostasis parameters, and hs-CRP levels.
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Affiliation(s)
- Omid Reza Tamtaji
- Electrophysiology Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.,Department of Physiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Zatollah Asemi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran
| | - Ebrahim Kouchaki
- Department of Neurology, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
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Huang J, Su B, Karhunen V, Gill D, Zuber V, Ahola-Olli A, Palaniswamy S, Auvinen J, Herzig KH, Keinänen-Kiukaanniemi S, Salmi M, Jalkanen S, Lehtimäki T, Salomaa V, Raitakari OT, Matthews PM, Elliott P, Tsilidis KK, Jarvelin MR, Tzoulaki I, Dehghan A. Inflammatory Diseases, Inflammatory Biomarkers, and Alzheimer Disease: An Observational Analysis and Mendelian Randomization. Neurology 2023; 100:e568-e581. [PMID: 36384659 PMCID: PMC9946179 DOI: 10.1212/wnl.0000000000201489] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 09/14/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Whether chronic autoimmune inflammatory diseases causally affect the risk of Alzheimer disease (AD) is controversial. We characterized the relationship between inflammatory diseases and risk of AD and explored the role of circulating inflammatory biomarkers in the relationships between inflammatory diseases and AD. METHODS We performed observational analyses for chronic autoimmune inflammatory diseases and risk of AD using data from 2,047,513 participants identified in the UK Clinical Practice Research Datalink (CPRD). Using data of a total of more than 1,100,000 individuals from 15 large-scale genome-wide association study data sets, we performed 2-sample Mendelian randomizations (MRs) to investigate the relationships between chronic autoimmune inflammatory diseases, circulating inflammatory biomarker levels, and risk of AD. RESULTS Cox regression models using CPRD data showed that the overall incidence of AD was higher among patients with inflammatory bowel disease (hazard ratio [HR] 1.17; 95% CI 1.15-1.19; p = 2.1 × 10-4), other inflammatory polyarthropathies and systematic connective tissue disorders (HR 1.13; 95% CI 1.12-1.14; p = 8.6 × 10-5), psoriasis (HR 1.13; 95% CI 1.10-1.16; p = 2.6 × 10-4), rheumatoid arthritis (HR 1.08; 95% CI 1.06-1.11; p = 4.0 × 10-4), and multiple sclerosis (HR 1.06; 95% CI 1.04-1.07; p = 2.8 × 10-4) compared with the age (±5 years) and sex-matched comparison groups free from all inflammatory diseases under investigation. Bidirectional MR analysis identified relationships between chronic autoimmune inflammatory diseases and circulating inflammatory biomarkers. Particularly, circulating monokine induced by gamma interferon (MIG) level was suggestively associated with a higher risk of AD (odds ratio from inverse variance weighted [ORIVW] 1.23; 95% CI 1.06-1.42; p IVW = 0.007) and lower risk of Crohn disease (ORIVW 0.73; 95% CI -0.62 to 0.86; p IVW = 1.3 × 10-4). Colocalization supported a common causal single nucleotide polymorphism for MIG and Crohn disease (posterior probability = 0.74), but not AD (posterior probability = 0.03). Using a 2-sample MR approach, genetically predicted risks of inflammatory diseases were not associated with higher AD risk. DISCUSSION Our data suggest that the association between inflammatory diseases and risk of AD is unlikely to be causal and may be a result of confounding. In support, although inflammatory biomarkers showed evidence for causal associations with inflammatory diseases, evidence was weak that they affected both inflammatory disease and AD.
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Affiliation(s)
- Jian Huang
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Bowen Su
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Ville Karhunen
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Dipender Gill
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Verena Zuber
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Ari Ahola-Olli
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Saranya Palaniswamy
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Juha Auvinen
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Karl-Heinz Herzig
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Sirkka Keinänen-Kiukaanniemi
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Marko Salmi
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Sirpa Jalkanen
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Terho Lehtimäki
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Veikko Salomaa
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Olli T Raitakari
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Paul M Matthews
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Paul Elliott
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Konstantinos K Tsilidis
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Marjo-Riitta Jarvelin
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Ioanna Tzoulaki
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom
| | - Abbas Dehghan
- From the Department of Epidemiology and Biostatistics (J.H., B.S., V.K., D.G., V.Z., S.P., P.E., K.K.T., M.-r.J., A.D.), School of Public Health, Imperial College London, United Kingdom; Singapore Institute for Clinical Sciences (SICS) (J.H.), Agency for Science, Technology and Research (A*STAR); Center for Life Course Health Research (V.K., S.P., J.A., S.K.-K., M.-r.J.), Faculty of Medicine, Research Unit of Mathematical Sciences (V.K.), University of Oulu, Finland; The Stanley Center for Psychiatric Research (A.A.-O.), Broad Institute of MIT and Harvard, Cambridge, MA; Analytical and Translational Genetics Unit (A.A.-O.), Massachusetts General Hospital, Boston; Institute for Molecular Medicine Finland (A.A.-O.), University of Helsinki; Research Unit of Biomedicine (K.-H.H.), Medical Research Center (MRC), University of Oulu, University Hospital, Finland; Department of Gastroenterology and Metabolism (K.-H.H.), Poznan University of Medical Sciences, Poland; Unit of Primary Care (S.K.-K., M.-r.J.), Oulu University Hospital; Healthcare and Social Services of Selänne (S.K.-K., I.T.), Pyhäjärvi, Finland and City of Oulu; MediCity and Institute of Biomedicine (M.S., S.J.), University of Turku; Department of Clinical Chemistry (T.L.), Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University; Finnish Institute for Health and Welfare (V.S.), Helsinki; Research Centre of Applied and Preventive Cardiovascular Medicine (O.T.R.), University of Turku; Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital; Centre for Population Health Research (O.T.R.), University of Turku and Turku University Hospital, Finland; Department of Brain Sciences (P.M.M.), Faculty of Medicine, Imperial College London; UK Dementia Research Institute at Imperial College London (P.M.M., P.E.); MRC Centre for Environment and Health (P.E., M.-r.J.), School of Public Health, Imperial College London, United Kingdom; Department of Hygiene and Epidemiology (K.K.T.), University of Ioannina Medical School, Greece; Biocenter Oulu (M.-r.J.), University of Oulu, Finland; and Department of Life Sciences (M.-r.J.), College of Health and Life Sciences, Brunel University London, United Kingdom.
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Liu B, Lyu L, Zhou W, Song J, Ye D, Mao Y, Chen GB, Sun X. Associations of the circulating levels of cytokines with risk of amyotrophic lateral sclerosis: a Mendelian randomization study. BMC Med 2023; 21:39. [PMID: 36737740 PMCID: PMC9898905 DOI: 10.1186/s12916-023-02736-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 01/12/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder that is accompanied by muscle weakness and muscle atrophy, typically resulting in death within 3-5 years from the disease occurrence. Though the cause of ALS remains unclear, increasing evidence has suggested that inflammation is involved in the pathogenesis of ALS. Thus, we performed two-sample Mendelian randomization (MR) analyses to estimate the associations of circulating levels of cytokines and growth factors with the risk of ALS. METHODS Genetic instrumental variables for circulating cytokines and growth factors were identified from a genome-wide association study (GWAS) of 8293 European participants. Summary statistics of ALS were obtained from a GWAS including 20,806 ALS cases and 59,804 controls of European ancestry. We used the inverse-variance weighted (IVW) method as the primary analysis. To test the robustness of our results, we further performed the simple-median method, weighted-median method, MR-Egger regression, and MR pleiotropy residual sum and outlier test. Finally, a reverse MR analysis was performed to assess the possibility of reverse causation between ALS and the cytokines that we identified. RESULTS After Bonferroni correction, genetically predicted circulating level of basic fibroblast growth factor (FGF-basic) was suggestively associated with a lower risk of ALS [odds ratio (OR): 0.74, 95% confidence interval (95% CI): 0.60-0.92, P = 0.007]. We also observed suggestive evidence that interferon gamma-induced protein 10 (IP-10) was associated with a 10% higher risk of ALS (OR: 1.10, 95% CI: 1.03-1.17, P = 0.005) in the primary study. The results of sensitivity analyses were consistent. CONCLUSIONS Our systematic MR analyses provided suggestive evidence to support causal associations of circulating FGF-basic and IP-10 with the risk of ALS. More studies are warranted to explore how these cytokines may affect the development of ALS.
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Affiliation(s)
- Bin Liu
- Department of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China
| | - Linshuoshuo Lyu
- Department of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China
| | - Wenkai Zhou
- Department of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China
| | - Jie Song
- Department of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China
| | - Ding Ye
- Department of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China
| | - Yingying Mao
- Department of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China
| | - Guo-Bo Chen
- Center for General Practice Medicine, Department of General Practice Medicine, Clinical Research Institute, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China. .,Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, Zhejiang, China.
| | - Xiaohui Sun
- Department of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China.
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Tio ES, Hohman TJ, Milic M, Bennett DA, Felsky D. Testing a Polygenic Risk Score for Morphological Microglial Activation in Alzheimer's Disease and Aging. J Alzheimers Dis 2023; 94:1549-1561. [PMID: 37458040 PMCID: PMC11062501 DOI: 10.3233/jad-230434] [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] [Indexed: 07/18/2023]
Abstract
BACKGROUND Neuroinflammation and the activation of microglial cells are among the earliest events in Alzheimer's disease (AD). However, direct observation of microglia in living people is not currently possible. Here, we indexed the heritable propensity for neuroinflammation with polygenic risk scores (PRS), using results from a recent genome-wide analysis of a validated post-mortem measure of morphological microglial activation. OBJECTIVE We sought to determine whether a PRS for microglial activation (PRSmic) could augment the predictive performance of existing AD PRSs for late-life cognitive impairment. METHODS First, PRSmic were calculated and optimized in a calibration cohort (Alzheimer's Disease Neuroimaging Initiative (ADNI), n = 450), with resampling. Second, predictive performance of optimal PRSmic was assessed in two independent, population-based cohorts (total n = 212,237). Finally, we explored associations of PRSmic with a comprehensive set of imaging and fluid AD biomarkers in ADNI. RESULTS Our PRSmic showed no significant improvement in predictive power for either AD diagnosis or cognitive performance in either external cohort. Some nominal associations were found in ADNI, but with inconsistent effect directions. CONCLUSION While genetic scores capable of indexing risk for neuroinflammatory processes in aging are highly desirable, more well-powered genome-wide studies of microglial activation are required. Further, biobank-scale studies would benefit from phenotyping of proximal neuroinflammatory processes to improve the PRS development phase.
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Affiliation(s)
- Earvin S. Tio
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, CANADA
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, CANADA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer’s Centre, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Milos Milic
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, CANADA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL., USA
| | - Daniel Felsky
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, CANADA
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, CANADA
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, CANADA
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, CANADA
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Bacterial DNAemia in Alzheimer's Disease and Mild Cognitive Impairment: Association with Cognitive Decline, Plasma BDNF Levels, and Inflammatory Response. Int J Mol Sci 2022; 24:ijms24010078. [PMID: 36613538 PMCID: PMC9820596 DOI: 10.3390/ijms24010078] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/13/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
Microbial dysbiosis (MD) provokes gut barrier alterations and bacterial translocation in the bloodstream. The increased blood bacterial DNA (BB-DNA) may promote peripheral- and neuro-inflammation, contributing to cognitive impairment. MD also influences brain-derived neurotrophic factor (BDNF) production, whose alterations contribute to the etiopathogenesis of Alzheimer's disease (AD). The purpose of this study is to measure BB-DNA in healthy elderly controls (EC), and in patients with mild cognitive impairment (MCI) and AD to explore the effect on plasma BDNF levels (pBDNF), the inflammatory response, and the association with cognitive decline during a two-year follow-up. Baseline BB-DNA and pBDNF were significantly higher in MCI and AD than in EC. BB-DNA was positively correlated with pBDNF in AD, plasma Tumor necrosis factor-alpha (TNF-α), and Interleukin-10 (IL-10) levels in MCI. AD patients with BB-DNA values above the 50th percentile had lower baseline Mini-Mental State Examination (MMSE). After a two-year follow-up, AD patients with the highest BB-DNA tertile had a worse cognitive decline, while higher BB-DNA levels were associated with higher TNF-α and lower IL-10 in MCI. Our study demonstrates that, in early AD, the higher the BB-DNA levels, the higher the pBDNF levels, suggesting a defensive attempt; BB-DNA seems to play a role in the AD severity/progression; in MCI, higher BB-DNA may trigger an increased inflammatory response.
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Wang Q, Shi Q, Lu J, Wang Z, Hou J. Causal relationships between inflammatory factors and multiple myeloma: A bidirectional Mendelian randomization study. Int J Cancer 2022; 151:1750-1759. [PMID: 35841389 DOI: 10.1002/ijc.34214] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/21/2022] [Accepted: 07/05/2022] [Indexed: 11/07/2022]
Abstract
Changes in serum inflammatory factors occur throughout the onset and multiple myeloma (MM) progression, the feedback loops make it harder to distinguish between causes and effects. In the present study, we performed a bidirectional summary-level Mendelian randomization (MR) analysis to elucidate the causal relationships of C-reactive protein (CRP) and inflammatory regulators with MM. Summary-level data of genetic variants associated with inflammation were extracted from two genome-wide association studies (GWASs) on CRP and human cytokines, while data on MM was from large meta-analyses of GWASs among 372 617 UK Biobank participants. The inverse-variance weighted (IVW) method was used as the primary MR analysis and MR-Egger, weighted median, and MR-pleiotropy residual sum and outlier (MR-PRESSO) were used as the sensitivity analyses. Our results suggested that higher levels of monocyte-specific chemokine-3 (IVW estimate odds ratio [ORIVW ] per SD genetic cytokines change: 1.24; 95% confidence interval [CI]: 1.03-1.49; P = .02), vascular endothelial growth factor (1.14, 1.03-1.27; P = .02), interleukin-10 (1.33, 1.01-1.75; P = .04) and interleukin-7 (1.24, 1.03-1.48; P = .02) were associated with increased risk of MM, while lower levels of tumor necrosis factor-β (0.84, 0.74-0.92; P < .001) was strongly associated with an increased risk of MM. And conversely, genetically predicted MM was related to increased levels of interleukin-17 (IVW estimate β: 0.051, 95% CI: 0.018-0.085; P = 2.7 × 10-3 ). Besides, we observed no such significant associations for other inflammatory factors in our study. Overall, our study provides genetic evidence on the relationships of CRP and systemic inflammatory regulators with MM. Targeted interventions of specific inflammatory factors may have implications to alleviate MM cancer risk.
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Affiliation(s)
- Qiangsheng Wang
- Department of Hematology, Ningbo Hangzhou Bay Hospital, Ningbo, Zhejiang, China
| | - Qiqin Shi
- Department of Ophthalmology, Ningbo Hangzhou Bay Hospital, Ningbo, Zhejiang, China
| | - Jiawen Lu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zhenqian Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jian Hou
- Department of Hematology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Lindbohm JV, Mars N, Sipilä PN, Singh-Manoux A, Runz H, Livingston G, Seshadri S, Xavier R, Hingorani AD, Ripatti S, Kivimäki M. Immune system-wide Mendelian randomization and triangulation analyses support autoimmunity as a modifiable component in dementia-causing diseases. NATURE AGING 2022; 2:956-972. [PMID: 37118290 PMCID: PMC10154235 DOI: 10.1038/s43587-022-00293-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 09/05/2022] [Indexed: 04/30/2023]
Abstract
Immune system and blood-brain barrier dysfunction are implicated in the development of Alzheimer's and other dementia-causing diseases, but their causal role remains unknown. We performed Mendelian randomization for 1,827 immune system- and blood-brain barrier-related biomarkers and identified 127 potential causal risk factors for dementia-causing diseases. Pathway analyses linked these biomarkers to amyloid-β, tau and α-synuclein pathways and to autoimmunity-related processes. A phenome-wide analysis using Mendelian randomization-based polygenic risk score in the FinnGen study (n = 339,233) for the biomarkers indicated shared genetic background for dementias and autoimmune diseases. This association was further supported by human leukocyte antigen analyses. In inverse-probability-weighted analyses that simulate randomized controlled drug trials in observational data, anti-inflammatory methotrexate treatment reduced the incidence of Alzheimer's disease in high-risk individuals (hazard ratio compared with no treatment, 0.64, 95% confidence interval 0.49-0.88, P = 0.005). These converging results from different lines of human research suggest that autoimmunity is a modifiable component in dementia-causing diseases.
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Affiliation(s)
- Joni V Lindbohm
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, The Klarman Cell Observatory, Cambridge, MA, USA.
- Department of Epidemiology and Public Health, University College London, London, UK.
- Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland.
| | - Nina Mars
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, The Klarman Cell Observatory, Cambridge, MA, USA
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Pyry N Sipilä
- Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, University College London, London, UK
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France
| | - Heiko Runz
- Research & Development, Biogen Inc., Cambridge, MA, USA
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Sudha Seshadri
- Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
- Boston University School of Public Health, Boston, MA, USA
- New York University Grossman School of Medicine, New York, NY, USA
- Boston University School of Medicine, Boston, MA, USA
| | - Ramnik Xavier
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, The Klarman Cell Observatory, Cambridge, MA, USA
- Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, University College London, London, UK
- University College London, British Heart Foundation Research Accelerator, London, UK
- Health Data Research UK, London, UK
| | - Samuli Ripatti
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, The Klarman Cell Observatory, Cambridge, MA, USA
- Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
- Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland
- Division of Psychiatry, University College London, London, UK
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Cui G, Li S, Ye H, Yang Y, Huang Q, Chu Y, Shi Z, Zhang X. Are neurodegenerative diseases associated with an increased risk of inflammatory bowel disease? A two-sample Mendelian randomization study. Front Immunol 2022; 13:956005. [PMID: 36159838 PMCID: PMC9493012 DOI: 10.3389/fimmu.2022.956005] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 07/04/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundSeveral studies have shown that neurodegenerative diseases (e.g., Parkinson’s disease [PD] and Alzheimer’s disease [AD]) are associated with inflammatory bowel disease (IBD), but the causality and direction of their associations remain unclear. Mendelian randomization (MR) studies have explored the causal effects of IBD on PD and AD. However, only a few studies examined this reverse association. Thus, this study aimed to explore whether there are causal associations of genetically predicted PD and AD with IBD, using a two-sample MR study.MethodsSummary statistics for IBD, ulcerative colitis (UC), and Crohn’s disease (CD) were derived from a genome-wide association study (GWAS) meta-analysis, which included the International IBD Genetics Consortium and the UK IBD Genetics Consortium (n=59,957). Genetic variants associated with the largest meta-analysis of GWAS of PD (n=1,474,097) and AD (n=455,258) were used as instrumental variables. We used multiple methods, including inverse variance weighted (IVW), weighted median (WM), MR-Egger regression, weighted mode, and Robust Adjusted Profile Score (RAPS) methods, to estimate the effects of genetically predicted PD and AD on IBD. To confirm the validity of the analysis, we also evaluated the pleiotropic effects, heterogeneity, and leave-one-out sensitivity analysis that drive causal associations.ResultsThe results of the IVW method, WM, and RAPS showed that genetically predicted PD was significantly associated with an increased risk of UC (odds ratio [OR]IVW=1.068, ORWM=1.107, ORRAPS=1.069, all P<0.05). Additionally, we found that there were significant associations of genetically predicted PD with CD (ORIVW=1.064, ORRAPS=1.065, all P<0.05) and IBD (ORIVW=1.062, ORRAPS=1.063, all P<0.05) using the IVW method and RAPS. However, there was no significant causal evidence of genetically predicted AD in IBD, UC, or CD among all MR methods. In all MR analyses, there were no horizontal pleiotropy (all P>0.05), or statistical heterogeneity. The sensitivity analysis results of the leave-one-out sensitivity analysis showed that the causal effect estimations of genetically predicted PD and AD on IBD were robust.ConclusionsOur MR study corroborated a causal association between genetically predicted PD and IBD but did not support a causal effect of genetically predicted AD on IBD. More animal experiments or population-based observational studies are required to clarify the underlying mechanisms of PD and IBD.
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Affiliation(s)
- Guanghui Cui
- Department of Integrated Traditional Chinese and Western Medicine, Peking University First Hospital; Institute of Integrated Traditional Chinese and Western Medicine, Peking University, Beijing, China
| | - Shaojie Li
- School of Public Health, Peking University, Beijing, China
| | - Hui Ye
- Department of Integrated Traditional Chinese and Western Medicine, Peking University First Hospital; Institute of Integrated Traditional Chinese and Western Medicine, Peking University, Beijing, China
| | - Yao Yang
- Department of Integrated Traditional Chinese and Western Medicine, Peking University First Hospital; Institute of Integrated Traditional Chinese and Western Medicine, Peking University, Beijing, China
| | - Qiuyue Huang
- Department of Integrated Traditional Chinese and Western Medicine, Peking University First Hospital; Institute of Integrated Traditional Chinese and Western Medicine, Peking University, Beijing, China
| | - Yingming Chu
- Department of Integrated Traditional Chinese and Western Medicine, Peking University First Hospital; Institute of Integrated Traditional Chinese and Western Medicine, Peking University, Beijing, China
| | - Zongming Shi
- Department of Integrated Traditional Chinese and Western Medicine, Peking University First Hospital; Institute of Integrated Traditional Chinese and Western Medicine, Peking University, Beijing, China
| | - Xuezhi Zhang
- Department of Integrated Traditional Chinese and Western Medicine, Peking University First Hospital; Institute of Integrated Traditional Chinese and Western Medicine, Peking University, Beijing, China
- *Correspondence: Xuezhi Zhang,
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Pagoni P, Korologou-Linden RS, Howe LD, Davey Smith G, Ben-Shlomo Y, Stergiakouli E, Anderson EL. Causal effects of circulating cytokine concentrations on risk of Alzheimer's disease and cognitive function. Brain Behav Immun 2022; 104:54-64. [PMID: 35580794 PMCID: PMC10391322 DOI: 10.1016/j.bbi.2022.05.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 05/05/2022] [Accepted: 05/12/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND There is considerable evidence suggesting a role of neuroinflammation in the pathogenesis of Alzheimer's disease. Establishing causality is challenging due to bias from reverse causation and residual confounding. METHODS We used two-sample MR to explore causal effects of circulating cytokine concentrations on Alzheimer's disease risk and cognitive function. We employed genetic variants from the largest publicly available genome-wide association studies (GWASs) of cytokine concentrations (N = 8,293), Alzheimer's disease (71,880 cases/383,378 controls), prospective memory (N = 152,605 to 462,302), reaction time (N = 454,157 to 459,523) and fluid intelligence (N = 149,051). RESULTS Evidence suggest that 1 standard deviation (SD) increase in levels of CTACK (CCL27) (OR = 1.09 95%CI: 1.01 to 1.19, p = 0.03) increased risk of Alzheimer's disease. There was weak evidence of a causal effect of MIP-1b (CCL4) (OR = 1.04 95% CI: 0.99 to 1.09, p = 0.08), Eotaxin (OR = 1.08 95% CI: 0.99 to 1.17, p = 0.10), GROa (CXCL1) (OR = 1.04 95% CI: 0.99 to 1.10, p = 0.15), MIG (CXCL9) (OR = 1.17 95% CI: 0.97 to 1.41, p = 0.10), IL-8 (Wald ratio: OR = 1.21 95% CI: 0.97 to 1.51, p = 0.09) and IL-2 (Wald Ratio: OR = 1.21 95% CI: 0.94 to 1.56, p = 0.14) on Alzheimer's disease risk. A 1 SD increase in concentration of Eotaxin (IVW: OR = 1.05 95% CI: 0.98 to 1.13, p = 0.14), IL-8 (OR = 1.21 95% CI: 1.07 to 1.37, p = 0.003) and MCP1 (OR = 1.07 95% CI: 1.03 to 1.13, p = 0.003) were associated with lower fluid intelligence, and IL-4 (OR = 0.86 95%CI: 0.79 to 0.98, p = 0.02) with higher. CONCLUSIONS Our findings suggest a causal role of cytokines in the pathogenesis of Alzheimer's disease and fluid intelligence.
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Affiliation(s)
- Panagiota Pagoni
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Roxanna S Korologou-Linden
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Laura D Howe
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Evie Stergiakouli
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emma L Anderson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Sun L, Guo D, Jia Y, Shi M, Yang P, Wang Y, Liu F, Chen GC, Zhang Y, Zhu Z. Association Between Human Blood Metabolome and the Risk of Alzheimer's Disease. Ann Neurol 2022; 92:756-767. [PMID: 35899678 DOI: 10.1002/ana.26464] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 06/30/2022] [Accepted: 07/25/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Alzheimer's disease (AD) is the most common degenerative neurological disorder with limited therapeutic options. Therefore, it is particularly important to explore the potential biomarkers implicated in the occurrence and progression of AD prior to clinical testing. METHODS We selected 119 unique blood metabolites from 3 metabolome genome-wide association studies (GWASs) with 147,827 European participants. Summary data about AD were obtained from a GWAS meta-analysis with 63,926 European individuals from the International Genomics of Alzheimer's Project. MR analyses were performed to assess the associations of blood metabolites with AD, and a phenome-wide MR analysis was further applied to ascertain the potential on-target side effects of metabolite interventions. RESULTS Four metabolites were identified as causal mediators for AD, including epiandrosterone sulfate (odds ratio [OR] per SD increase: 0.60; 95% confidence interval [CI]: 0.51-0.71; P=6.14×10-9 ), 5alpha-androstan-3beta-17beta-diol disulfate (OR per SD increase: 0.69; 95% CI: 0.57-0.84; P=1.98×10-4 ), sphingomyelin (OR per SD increase: 2.53; 95% CI: 1.78-3.59; P=2.10×10-7 ), and glutamine (OR per SD increase: 0.83; 95% CI: 0.77-0.89; P=2.09×10-6 ). Phenome-wide MR analysis showed that epiandrosterone sulfate, 5alpha-androstan-3beta-17beta-diol disulfate and sphingomyelin mediated the risk of multiple diseases, and glutamine had beneficial effects on the risk of 4 diseases. INTERPRETATION Genetically predicted increased epiandrosterone sulfate, 5alpha-androstan-3beta-17beta-diol disulfate and glutamine might be associated with a decreased risk of AD, while sphingomyelin was associated with an increased risk. Side-effect profiles were characterized to help inform drug target prioritization, and glutamine might be a promising target for the prevention and treatment of AD with no predicted detrimental side effects. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Lulu Sun
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Daoxia Guo
- School of Nursing, Medical College of Soochow University, Suzhou, China
| | - Yiming Jia
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Mengyao Shi
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Pinni Yang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Yu Wang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Fanghua Liu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Guo-Chong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Zhengbao Zhu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
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Abstract
Low-level laser therapy (LLLT) has become an important part of the therapeutic process in various diseases. However, despite the broad use of LLLT in everyday clinical practice, the full impact of LLLT on cell life processes has not been fully understood. This paper presents the current state of knowledge concerning the mechanisms of action of LLLT on cells. A better understanding of the molecular processes occurring within the cell after laser irradiation may result in introducing numerous novel clinical applications of LLLT and potentially increases the safety profile of this therapy.
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