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Lan G, Li A, Gonzalez-Ortiz F, Lv J, Ran W, Cai Y, Sun P, Liu L, Yang J, Zhang L, He Z, Fang L, Zhou X, Zhu Y, Liu Z, Fan X, Chen X, Xu L, Wang Q, Wang X, Sun K, Cheng G, Han Y, Blennow K, Wang L, Ran P, Guo T. Higher plasma soluble TREM2 correlates with reduced cerebral tau accumulation in Alzheimer's disease. Mol Psychiatry 2025:10.1038/s41380-025-02976-4. [PMID: 40169800 DOI: 10.1038/s41380-025-02976-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Revised: 03/04/2025] [Accepted: 03/21/2025] [Indexed: 04/03/2025]
Abstract
Loss-of-function mutation of triggering receptor expressed on myeloid cell 2 (TREM2) is associated with increased risks for Alzheimer's disease (AD). Recent animal studies reveal that the activation of peripheral TREM2 signaling may affect cerebral β-amyloid (Aβ) and tau aggregates. However, the underlying relationship between peripheral TREM2 and brain AD pathology has not yet been well-elucidated in the aging population. In this study, we collected 318 Chinese older adults with Aβ PET and plasma biomarker measures, including soluble TREM2 (sTREM2) and glial fibrillary acidic protein (GFAP), a proxy for astrocyte reactivity. Additionally, 129 participants underwent tau PET scans. We explored the association between plasma sTREM2, GFAP, and primary AD pathology. Plasma sTREM2 was negatively associated with reduced temporal tau PET burden in participants with abnormal Aβ and tau pathology. Higher plasma sTREM2 was related to the weaker association of Aβ pathology and plasma phosphorylated tau with tau PET increases. In contrast, elevated plasma GFAP was related to greater Aβ and tau PET burden along with stronger Aβ-related tau accumulation. Finally, higher plasma sTREM2 was linked to attenuated strength of the association between plasma GFAP and tau PET increases at both pre-defined regions of interest and voxel levels. Altogether, our findings suggest distinct relationships between plasma sTREM2 and GFAP with cerebral tau pathology, providing novel insights into the roles of peripheral TREM2 signaling and astrocytic reactivity in AD neuropathological development. This study has important implications, such as targeting the peripheral TREM2 signature, which may be a potential strategy for future AD therapies.
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Affiliation(s)
- Guoyu Lan
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Anqi Li
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region, China
| | - Fernando Gonzalez-Ortiz
- Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, 40530, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 41345, Sweden
| | - Jieqin Lv
- Department of Nuclear Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, 510641, China
| | - Wenqing Ran
- Department of Nuclear Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Yue Cai
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Pan Sun
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen, 518132, China
| | - Lin Liu
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen, 518132, China
| | - Jie Yang
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Laihong Zhang
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510641, China
| | - Zhengbo He
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Lili Fang
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Xin Zhou
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Yalin Zhu
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region, China
| | - Zhen Liu
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Xiang Fan
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Xuhui Chen
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Linsen Xu
- Department of Medical Imaging, Shenzhen Guangming District People's Hospital, Shenzhen, 518106, China
| | - Qingyong Wang
- Department of Neurology, Shenzhen Guangming District People's Hospital, Shenzhen, 518107, China
| | - Xinlu Wang
- Department of Nuclear Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510641, China
| | - Kun Sun
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Guanxun Cheng
- School of Biomedical Engineering, Hainan University, Haikou, 570228, China
| | - Ying Han
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China
- National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
- The Central Hospital of Karamay, Karamay, Xinjiang, 834000, China
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, 75646, France
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, 40530, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 41345, Sweden
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, 230000, China
- Huaqiao Hospital, Jinan University, Guangzhou, 510641, China
| | - Lu Wang
- Department of Nuclear Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
| | - Pengcheng Ran
- Department of Nuclear Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, 510641, China.
| | - Tengfei Guo
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, 518132, China.
- Peking University Shenzhen Graduate School, Peking University, Shenzhen, 518132, China.
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Wen Y, Cannistra M, Sacca V, Ma L, Feng L, Xie Z, Kong J. Elevated plasma Tau-PT217 linked to decreased hippocampal functional connectivity in patients with knee osteoarthritis. Brain Res 2025; 1851:149478. [PMID: 39875084 PMCID: PMC11848939 DOI: 10.1016/j.brainres.2025.149478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2024] [Revised: 12/31/2024] [Accepted: 01/24/2025] [Indexed: 01/30/2025]
Abstract
BACKGROUND Osteoarthritis is associated with a higher risk of developing dementia, though the underlying biological mechanisms have remained unclear. Recent studies suggest that blood phosphorylated tau proteins, particularly Tau-PT217, are sensitive biomarkers capable of detecting cognitive decline in its early stages, making it useful for early diagnosis of Alzheimer's disease and other forms of cognitive impairment. METHODS In this study, we investigated the plasma phosphorylated tau protein levels (Tau-PT217 and Tau-PT181), hippocampus functional connectivity, and cognitive function in people with knee osteoarthritis compared to age and gender matched pain-free controls. RESULTS We found that knee osteoarthritis was associated with increased plasma levels of Tau-PT217 (but not Tau-PT181), and that the Tau-PT217 is also correlated with reduced hippocampal functional connectivity with middle cingulate cortex. Our findings suggest a potential biological correlation between knee osteoarthritis and an elevated risk of dementia, contributing valuable insights that may guide the formulation of early intervention and preventative strategies to mitigate dementia in individuals with knee osteoarthritis.
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Affiliation(s)
- Ya Wen
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Mattia Cannistra
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Valeria Sacca
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Linting Ma
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Liang Feng
- Geriatric Anesthesia Research Unit, Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Zhongcong Xie
- Geriatric Anesthesia Research Unit, Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Jian Kong
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.
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Lan G, Zhang L, Li A, Ran W, Lv J, Gonzalez‐Ortiz F, Cai Y, Sun P, Liu L, Yang J, He Z, Fang L, Zhou X, Zhu Y, Liu Z, Chen X, Fan X, Shi D, Ye C, Xu L, Wang Q, Blennow K, Cheng G, Ran P, Wang L, Guo T. Plasma N-terminal tau fragment is an amyloid-dependent biomarker in Alzheimer's disease. Alzheimers Dement 2025; 21:e14550. [PMID: 39821479 PMCID: PMC11881634 DOI: 10.1002/alz.14550] [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: 10/10/2024] [Revised: 12/20/2024] [Accepted: 12/23/2024] [Indexed: 01/19/2025]
Abstract
INTRODUCTION Novel fluid biomarkers for tracking neurodegeneration specific to Alzheimer's disease (AD) are greatly needed. METHODS Using two independent well-characterized cohorts (n = 881 in total), we investigated the group differences in plasma N-terminal tau (NT1-tau) fragments across different AD stages and their association with cross-sectional and longitudinal amyloid beta (Aβ) plaques, tau tangles, brain atrophy, and cognitive decline. RESULTS Plasma NT1-tau significantly increased in symptomatic AD and displayed positive associations with Aβ PET (positron emission tomography) and tau PET. Higher baseline NT1-tau levels predicted greater tau PET, with 2- to 10-year intervals and faster longitudinal Aβ PET increases, AD-typical neurodegeneration, and cognitive decline. Plasma NT1-tau showed negative correlations with baseline regional brain volume and thickness, superior to plasma brain-derived tau (BD-tau) and neurofilament light (NfL) in Aβ-positive participants. DISCUSSION This study suggests that plasma NT1-tau is an Aβ-dependent biomarker and outperforms BD-tau and NfL in detecting cross-sectional neurodegeneration in the AD continuum. HIGHLIGHTS Plasma N-terminal tau (NT1-tau) was specifically increased in the A+/T+ stage. Plasma NT1-tau was positively associated with greater amyloid beta (Aβ) and tau PET (positron emission tomography) accumulations. Higher plasma NT1-tau predicted greater tau burden and faster Aβ increases. Plasma NT1-tau was more related to neurodegeneration than plasma brain-derived tau (BD-tau) and neurofilament light (NfL).
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Affiliation(s)
- Guoyu Lan
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
| | - Laihong Zhang
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
- School of Biology and Biological EngineeringSouth China University of TechnologyGuangzhouChina
| | - Anqi Li
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
- Division of Life ScienceThe Hong Kong University of Science and TechnologyHong KongChina
| | - Wenqing Ran
- Department of Nuclear MedicineThe First Affiliated Hospital of Jinan UniversityGuangzhouChina
| | - Jieqin Lv
- Department of Nuclear MedicineGuangdong Provincial Hospital of Chinese MedicineGuangzhou University of Chinese MedicineGuangzhouChina
| | - Fernando Gonzalez‐Ortiz
- Institute of Neuroscience and PhysiologyUniversity of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Yue Cai
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
| | - Pan Sun
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
| | - Lin Liu
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
| | - Jie Yang
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
- Department of NeurologyXuanwu HospitalCapital Medical UniversityBeijingChina
| | - Zhengbo He
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
| | - Lili Fang
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
| | - Xin Zhou
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
| | - Yalin Zhu
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
- Division of Life ScienceThe Hong Kong University of Science and TechnologyHong KongChina
| | - Zhen Liu
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
| | - Xuhui Chen
- Department of NeurologyPeking University Shenzhen HospitalShenzhenChina
| | - Xiang Fan
- Department of Medical ImagingPeking University Shenzhen HospitalShenzhenChina
| | - Dai Shi
- Neurology Medicine CenterThe Seventh Affiliated HospitalSun Yat‐sen UniversityShenzhenChina
| | - Chenghui Ye
- Neurology Medicine CenterThe Seventh Affiliated HospitalSun Yat‐sen UniversityShenzhenChina
| | - Linsen Xu
- Department of Medical ImagingShenzhen Guangming District People's HospitalShenzhenChina
| | - Qingyong Wang
- Department of NeurologyShenzhen Guangming District People's HospitalShenzhenChina
| | - Kaj Blennow
- Institute of Neuroscience and PhysiologyUniversity of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Paris Brain InstituteICMPitié‐Salpêtrière HospitalSorbonne UniversityParisFrance
- Neurodegenerative Disorder Research CenterDivision of Life Sciences and MedicineHefeiChina
- Department of NeurologyInstitute on Aging and Brain DisordersUniversity of Science and Technology of China and First Affiliated Hospital of USTCHefeiChina
| | - Guanxun Cheng
- Department of Medical ImagingPeking University Shenzhen HospitalShenzhenChina
| | | | - Pengcheng Ran
- Department of Nuclear MedicineGuangdong Provincial Hospital of Chinese MedicineGuangzhou University of Chinese MedicineGuangzhouChina
| | - Lu Wang
- Department of Nuclear MedicineThe First Affiliated Hospital of Jinan UniversityGuangzhouChina
| | - Tengfei Guo
- Institute of Neurological and Psychiatric DisordersShenzhen Bay LaboratoryShenzhenChina
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
- Peking University Shenzhen Graduate SchoolPeking UniversityShenzhenChina
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Tang Y, Wang Z, Cao J, Tu Y. Bone-brain crosstalk in osteoarthritis: pathophysiology and interventions. Trends Mol Med 2025; 31:281-295. [PMID: 39438197 DOI: 10.1016/j.molmed.2024.09.006] [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: 07/28/2024] [Revised: 09/23/2024] [Accepted: 09/26/2024] [Indexed: 10/25/2024]
Abstract
Osteoarthritis (OA) is a prevalent articular disorder characterized by joint degeneration and persistent pain; it imposes a significant burden on both individuals and society. While OA has traditionally been viewed as a localized peripheral disorder, recent preclinical and clinical studies have revealed the crucial interconnections between the bone and the brain, highlighting the systemic nature of OA. The neuronal pathway, molecular signaling, circadian rhythms, and genetic underpinnings within the bone-brain axis play vital roles in the complex interplay that contributes to OA initiation and progression. This review explores emerging evidence of the crosstalk between the bone and brain in OA progression, and discusses the potential contributions of the bone-brain axis to the development of effective interventions for managing OA.
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Affiliation(s)
- Yilan Tang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhiyan Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jin Cao
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, 100105, China
| | - Yiheng Tu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China.
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Di J, Xi Y, Liu Y, Qi L, Chen T, Chen S, Xiang C. Unraveling the Controversy: The Causal Link Between Osteoarthritis and Alzheimer's Disease. Brain Behav 2025; 15:e70455. [PMID: 40123156 PMCID: PMC11930851 DOI: 10.1002/brb3.70455] [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: 11/13/2024] [Revised: 02/28/2025] [Accepted: 03/08/2025] [Indexed: 03/25/2025] Open
Abstract
OBJECTIVES Research on osteoarthritis (OA) and Alzheimer's disease (AD) is currently highly controversial, and the upstream and downstream relationships between them remain unclear. This study aimed to assess the association between OA and AD using Mendelian randomization (MR). METHOD Summary data from genome-wide association studies (GWAS) were obtained for OA and AD. Single nucleotide polymorphisms (SNPs) were selected as instrumental variables (IVs), and significant (p < 5.0 × 10-8) and independent (r2 < 0.001) SNPs were extracted for two-sample MR analyses. Inverse variance weighting (IVW) was used to assess these causal relationships, and meta-analysis was used to combine MR results from multiple IVWs. Confounders were assessed by multivariate Mendelian randomization (MVMR). Results were reported as odds ratios (OR). Heterogeneity was then tested using Cochran's Q test, multiplicity was tested using the MR-Egger intercept and MR-PRESSO, and sensitivity analyses were performed using the leave-one-out sensitivity test. RESULTS The MR results showed a positive causal effect of AD and OA (IVW OR = 19.89, 95% CI = 2.90-136.57, p = 0.002; OR = 1.28, 95% CI = 1.11-1.47, p = 0.017; OR = 1.27, 95% CI = 1.11-1.46, p = 0.017) and no significance of the reverse MR results (p > 0.05). Meta-analysis of the MR results confirmed this finding and was significant in all population subgroups (OR = 1.29, 95% CI = 1.18-1.40). The findings were maintained after controlling confounders using MVMR (OR = 6.75, 95% CI = 1.50-30.44, p = 0.013). These analyses were confirmed to be reliable and stable by sensitivity testing. CONCLUSIONS Our study found a positive causal effect of OA and AD, which was confirmed by the highest levels of evidence-based medicine. It may provide meaningful evidence for the current controversy.
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Affiliation(s)
- Jingkai Di
- Department of OrthopedicsSecond Hospital of Shanxi Medical UniversityTaiyuanChina
- Shanxi Medical UniversityTaiyuanChina
| | - Yujia Xi
- Shanxi Medical UniversityTaiyuanChina
- The Second Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Yaru Liu
- Shanxi Medical UniversityTaiyuanChina
- The Third Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Likun Qi
- Shanxi Medical UniversityTaiyuanChina
- The Second Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Tingting Chen
- Shanxi Medical UniversityTaiyuanChina
- The Fifth Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Shuai Chen
- Department of OrthopedicsSecond Hospital of Shanxi Medical UniversityTaiyuanChina
- Shanxi Medical UniversityTaiyuanChina
| | - Chuan Xiang
- Department of OrthopedicsSecond Hospital of Shanxi Medical UniversityTaiyuanChina
- Shanxi Medical UniversityTaiyuanChina
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Klee M, Markwardt S, Elman MR, Han L, Leist AK, Allore H, Quiñones A. Examining multimorbidity contributors to dementia over time. Alzheimers Dement 2025; 21:e14589. [PMID: 39988573 PMCID: PMC11847647 DOI: 10.1002/alz.14589] [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: 05/23/2024] [Revised: 12/10/2024] [Accepted: 01/12/2025] [Indexed: 02/25/2025]
Abstract
INTRODUCTION Multimorbidity is associated with increased risk of dementia, but previous estimation of the joint contribution of constituent conditions to dementia incidence did not model additive contributions or temporal proximity in the sequential onset of conditions. METHODS Data were analyzed from 9944 Health and Retirement Study participants and Medicare fee-for-service beneficiaries, ages 68-99, without Alzheimer's disease and related dementias (ADRD) at baseline, from 1998-2016. ADRD and chronic condition were encoded using validated claims algorithms. We estimated the absolute contribution of eight conditions to ADRD with the longitudinal extension of the average attributable fraction (LE-AAF). RESULTS Hypertension, acute myocardial infarction, atrial fibrillation, diabetes, heart failure, ischemic heart disease, stroke, and arthritis additively accounted for 71.8% (95% confidence interval [CI]: 62.9%-79.1%) of ADRD incident cases based on LE-AAF. DISCUSSION Our findings suggest that multimorbidity plays a pivotal role in ADRD incidence. Targeting constituents of a cardiovascular path to dementia may contribute most to lowering dementia risk. HIGHLIGHTS Most dementia cases (71.8%) were attributable to eight chronic conditions. Hypertension was the largest contributor to dementia risk. Confidence intervals were smallest for constituents of a cardiovascular path to dementia. Longitudinal extension of the average attributable fractions (LE-AAFs) explicitly consider longitudinal patterns of comorbidities. Acute myocardial infarction did not contribute significantly to dementia incidence.
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Affiliation(s)
- Matthias Klee
- Department of Social SciencesUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Sheila Markwardt
- OHSU‐PSU School of Public HealthOregon Health & Science UniversityPortlandOregonUSA
| | - Miriam R. Elman
- OHSU‐PSU School of Public HealthOregon Health & Science UniversityPortlandOregonUSA
| | - Ling Han
- Department of Internal MedicineYale School of MedicineNew HavenConnecticutUSA
| | - Anja K. Leist
- Department of Social SciencesUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Heather Allore
- Department of Internal MedicineYale School of MedicineNew HavenConnecticutUSA
- Department of BiostatisticsYale School of Public HealthNew HavenConnecticutUSA
| | - Ana Quiñones
- OHSU‐PSU School of Public HealthOregon Health & Science UniversityPortlandOregonUSA
- Department of Family MedicineOregon Health & Science UniversityPortlandOregonUSA
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Volloch V, Rits-Volloch S. Production of Amyloid-β in the Aβ-Protein-Precursor Proteolytic Pathway Is Discontinued or Severely Suppressed in Alzheimer's Disease-Affected Neurons: Contesting the 'Obvious'. Genes (Basel) 2025; 16:46. [PMID: 39858593 PMCID: PMC11764795 DOI: 10.3390/genes16010046] [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: 11/17/2024] [Revised: 12/17/2024] [Accepted: 12/19/2024] [Indexed: 01/27/2025] Open
Abstract
A notion of the continuous production of amyloid-β (Aβ) via the proteolysis of Aβ-protein-precursor (AβPP) in Alzheimer's disease (AD)-affected neurons constitutes both a cornerstone and an article of faith in the Alzheimer's research field. The present Perspective challenges this assumption. It analyses the relevant empirical data and reaches an unexpected conclusion, namely that in AD-afflicted neurons, the production of AβPP-derived Aβ is either discontinued or severely suppressed, a concept that, if proven, would fundamentally change our understanding of the disease. This suppression, effectively self-suppression, occurs in the context of the global inhibition of the cellular cap-dependent protein synthesis as a consequence of the neuronal integrated stress response (ISR) elicited by AβPP-derived intraneuronal Aβ (iAβ; hence self-suppression) upon reaching certain levels. Concurrently with the suppression of the AβPP proteolytic pathway, the neuronal ISR activates in human neurons, but not in mouse neurons, the powerful AD-driving pathway generating the C99 fragment of AβPP independently of AβPP. The present study describes molecular mechanisms potentially involved in these phenomena, propounds novel approaches to generate transgenic animal models of AD, advocates for the utilization of human neuronal cells-based models of the disease, makes verifiable predictions, suggests experiments designed to validate the proposed concept, and considers its potential research and therapeutic implications. Remarkably, it opens up the possibility that the conventional production of AβPP, BACE enzymes, and γ-secretase components is also suppressed under the neuronal ISR conditions in AD-affected neurons, resulting in the dyshomeostasis of AβPP. It follows that whereas conventional AD is triggered by AβPP-derived iAβ accumulated to the ISR-eliciting levels, the disease, in its both conventional and unconventional (triggered by the neuronal ISR-eliciting stressors distinct from iAβ) forms, is driven not (or not only) by iAβ produced in the AβPP-independent pathway, as we proposed previously, but mainly, possibly exclusively, by the C99 fragment generated independently of AβPP and not cleaved at the γ-site due to the neuronal ISR-caused deficiency of γ-secretase (apparently, the AD-driving "substance X" predicted in our previous study), a paradigm consistent with a dictum by George Perry that Aβ is "central but not causative" in AD. The proposed therapeutic strategies would not only deplete the driver of the disease and abrogate the AβPP-independent production of C99 but also reverse the neuronal ISR and ameliorate the AβPP dyshomeostasis, a potentially significant contributor to AD pathology.
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Affiliation(s)
- Vladimir Volloch
- Department of Developmental Biology, Harvard School of Dental Medicine, Boston, MA 02115, USA
| | - Sophia Rits-Volloch
- Division of Molecular Medicine, Children’s Hospital, Boston, MA 02115, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
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8
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Peoples BM, Harrison KD, Renfrow G, Bethea D, Santamaria Guzman KG, Wilson AE, Samaan MA, Roper JA. Osteoarthritis and Neurological Disorder Diagnoses in Adults: A Meta-Analysis Examining Associations With Parkinson's Disease, Multiple Sclerosis, and Alzheimer's Disease. Cureus 2024; 16:e71458. [PMID: 39544560 PMCID: PMC11560400 DOI: 10.7759/cureus.71458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/14/2024] [Indexed: 11/17/2024] Open
Abstract
Osteoarthritis (OA) is a highly prevalent joint disorder that is emerging as a global threat to health. OA is associated with low-grade chronic systemic inflammation that can affect overall health, leading to a sedentary lifestyle and potentially increased risk of neurological disorders (ND) such as Alzheimer's disease (AD), Parkinson's disease (PD), and multiple sclerosis (MS). A meta-analysis was conducted following the Preferred Reporting Items for 2020 Systematic Reviews and Meta-Analyses (PRISMA) guidelines. MEDLINE, Web of Science, and Embase databases were searched to identify records. The inclusion criteria for this analysis were original research articles reporting on OA and neurological disorder diagnoses (AD, PD, or MS) with non-OA comparator groups. Logarithmic odds ratios (LORs) were calculated and input into a random-effects meta-analysis using the restricted maximum-likelihood estimator. Subgroup analyses examined the associations between OA, AD, PD, and MS. A subsequent meta-regression analysis was performed to explore potential sources of heterogeneity, focusing on comorbidities and demographic factors. Publication bias was evaluated using funnel plots, Egger's test, and trim-and-fill analysis. Nine studies were included in this meta-analysis (six case-control designs, two cross-sectional designs, and one population-based cohort design) of 1,837,716 cases. The pooled odds ratio (OR) indicated a significant association between OA and ND diagnosis (OR = 1.246; confidence interval (CI): 1.01-1.53). Subsequent subgroup analyses were not statistically significant but indicated an association with PD (OR = 1.31, CI: 0.80-2.12), MS (OR = 1.12, CI: 0.80-2.81), and AD (OR = 1.50, CI: 0.80-2.81). This meta-analysis revealed that individuals with OA have approximately 25% higher odds of an accompanying ND diagnosis compared to those without OA. Importantly, these findings represent statistical associations only and do not imply causation or directionality but provide insight into factors, including shared risk factors, overlapping symptoms, or other underlying mechanisms that may influence the observed relationships.
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Affiliation(s)
| | | | - Grant Renfrow
- School of Kinesiology, Auburn University, Auburn, USA
| | - Douglas Bethea
- Department of Anesthesiology and Perioperative Medicine, Edward Via College of Osteopathic Medicine, Auburn University, Auburn, USA
| | | | - Alan E Wilson
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, USA
| | - Michael A Samaan
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, USA
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Sun P, He Z, Li A, Yang J, Zhu Y, Cai Y, Ma T, Ma S, Guo T. Spatial and temporal patterns of cortical mean diffusivity in Alzheimer's disease and suspected non-Alzheimer's disease pathophysiology. Alzheimers Dement 2024; 20:7048-7061. [PMID: 39132849 PMCID: PMC11485315 DOI: 10.1002/alz.14176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 07/12/2024] [Accepted: 07/16/2024] [Indexed: 08/13/2024]
Abstract
INTRODUCTION The spatial and temporal patterns of cortical mean diffusivity (cMD), as well as its association with Alzheimer's disease (AD) and suspected non-Alzheimer's pathophysiology (SNAP), are not yet fully understood. METHODS We compared baseline (n = 617) and longitudinal changes (n = 421) of cMD, cortical thickness, and gray matter volume and their relations to vascular risk factors, amyloid beta (Aβ), and tau positron emission tomography (PET), and longitudinal cognitive decline in Aβ PET negative and positive older adults. RESULTS cMD increases were more sensitive to detecting brain structural alterations than cortical thinning and gray matter atrophy. Tau-related cMD increases partially mediated Aβ-related cognitive decline in AD, whereas vascular disease-related increased cMD levels substantially mediated age-related cognitive decline in SNAP. DISCUSSION These findings revealed the dynamic changes of microstructural and macrostructural indicators and their associations with AD and SNAP, providing novel insights into understanding upstream and downstream events of cMD in neurodegenerative disease. HIGHLIGHTS Cortical mean diffusivity (cMD) was more sensitive to detecting structural changes than macrostructural factors. Tau-related cMD increases partially mediated amyloid beta-related cognitive decline in Alzheimer's disease (AD). White matter hyperintensity-related higher cMD mainly explained the age-related cognitive decline in suspected non-Alzheimer's pathophysiology (SNAP). cMD may assist in tracking earlier neurodegenerative signs in AD and SNAP.
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Affiliation(s)
- Pan Sun
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhenChina
| | - Zhengbo He
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
| | - Anqi Li
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
| | - Jie Yang
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
| | - Yalin Zhu
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
| | - Yue Cai
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
| | - Ting Ma
- School of Electronic and Information EngineeringHarbin Institute of Technology (Shenzhen)ShenzhenChina
| | - Shaohua Ma
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhenChina
| | - Tengfei Guo
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
- Institute of Biomedical EngineeringPeking University Shenzhen Graduate SchoolShenzhenChina
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10
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Volloch V, Rits-Volloch S. Quintessential Synergy: Concurrent Transient Administration of Integrated Stress Response Inhibitors and BACE1 and/or BACE2 Activators as the Optimal Therapeutic Strategy for Alzheimer's Disease. Int J Mol Sci 2024; 25:9913. [PMID: 39337400 PMCID: PMC11432332 DOI: 10.3390/ijms25189913] [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: 08/14/2024] [Revised: 09/01/2024] [Accepted: 09/03/2024] [Indexed: 09/30/2024] Open
Abstract
The present study analyzes two potential therapeutic approaches for Alzheimer's disease (AD). One is the suppression of the neuronal integrated stress response (ISR). Another is the targeted degradation of intraneuronal amyloid-beta (iAβ) via the activation of BACE1 (Beta-site Aβ-protein-precursor Cleaving Enzyme) and/or BACE2. Both approaches are rational. Both are promising. Both have substantial intrinsic limitations. However, when combined in a carefully orchestrated manner into a composite therapy they display a prototypical synergy and constitute the apparently optimal, potentially most effective therapeutic strategy for AD.
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Affiliation(s)
- Vladimir Volloch
- Department of Developmental Biology, Harvard School of Dental Medicine, Boston, MA 02115, USA
| | - Sophia Rits-Volloch
- Division of Molecular Medicine, Children’s Hospital, Boston, MA 02115, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
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11
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Guo R, Ou YN, Ma LY, Tang L, Yang L, Feng JF, Cheng W, Tan L, Yu JT. Osteoarthritis, osteoarthritis treatment and risk of incident dementia: a prospective cohort study based on UK Biobank. Age Ageing 2024; 53:afae167. [PMID: 39108220 PMCID: PMC11303829 DOI: 10.1093/ageing/afae167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 02/22/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND We aimed to investigate the association between OA and treatment with dementia risk and structural brain abnormalities. METHODS We recruited a total of 466,460 individuals from the UK Biobank to investigate the impact of OA on the incidence of dementia. Among the total population, there were 63,081 participants diagnosed with OA. We subsequently categorised the OA patients into medication and surgery groups based on treatment routes. Cox regression models explored the associations between OA/OA treatment and dementia risk, with the results represented as hazard ratios (HRs) and 95% confidence intervals (95% CI). Linear regression models assessed the associations of OA/OA therapy with alterations in cortical structure. RESULTS During an average of 11.90 (± 1.01) years of follow-up, 5,627 individuals were diagnosed with all-cause dementia (ACD), including 2,438 AD (Alzheimer's disease), and 1,312 VaD (vascular dementia) cases. Results revealed that OA was associated with the elevated risk of ACD (HR: 1.116; 95% CI: 1.039-1.199) and AD (HR: 1.127; 95% CI: 1.013-1.254). OA therapy lowered the risk of dementia in both medication group (HR: 0.746; 95% CI: 0.652-0.854) and surgery group (HR: 0.841; 95% CI: 0.736-0.960). OA was negatively associated with cortical area, especially precentral, postcentral and temporal regions. CONCLUSIONS Osteoarthritis increased the likelihood of developing dementia, and had an association with regional brain atrophy. OA treatment lowered the dementia risk. OA is a promising modifiable risk factor for dementia.
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Affiliation(s)
- Rong Guo
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Li-Yun Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lian Tang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Liu Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Fudan ISTBI—ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Zhangjiang Fudan International Innovation Center, Shanghai, China
| | - Wei Cheng
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Fudan ISTBI—ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
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Zhang N, Nao J, Zhang S, Dong X. Novel insights into the activating transcription factor 4 in Alzheimer's disease and associated aging-related diseases: Mechanisms and therapeutic implications. Front Neuroendocrinol 2024; 74:101144. [PMID: 38797197 DOI: 10.1016/j.yfrne.2024.101144] [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: 02/05/2024] [Revised: 05/16/2024] [Accepted: 05/22/2024] [Indexed: 05/29/2024]
Abstract
Ageing is inherent to all human beings, most mechanistic explanations of ageing results from the combined effects of various physiological and pathological processes. Additionally, aging pivotally contributes to several chronic diseases. Activating transcription factor 4 (ATF4), a member of the ATF/cAMP response element-binding protein family, has recently emerged as a pivotal player owing to its indispensable role in the pathophysiological processes of Alzheimer's disease and aging-related diseases. Moreover, ATF4 is integral to numerous biological processes. Therefore, this article aims to comprehensively review relevant research on the role of ATF4 in the onset and progression of aging-related diseases, elucidating its potential mechanisms and therapeutic approaches. Our objective is to furnish scientific evidence for the early identification of risk factors in aging-related diseases and pave the way for new research directions for their treatment. By elucidating the signaling pathway network of ATF4 in aging-related diseases, we aspire to gain a profound understanding of the molecular and cellular mechanisms, offering novel strategies for addressing aging and developing related therapeutics.
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Affiliation(s)
- Nan Zhang
- Department of Neurology, the Seventh Clinical College of China Medical University, No. 24 Central Street, Xinfu District, Fushun 113000, Liaoning, China.
| | - Jianfei Nao
- Department of Neurology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang 110000, Liaoning, China.
| | - Shun Zhang
- Department of Neurology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang 110000, Liaoning, China.
| | - Xiaoyu Dong
- Department of Neurology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang 110000, Liaoning, China.
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13
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Zhang F, Zhang W. Research progress in Alzheimer's disease and bone-brain axis. Ageing Res Rev 2024; 98:102341. [PMID: 38759893 DOI: 10.1016/j.arr.2024.102341] [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: 03/27/2024] [Revised: 05/06/2024] [Accepted: 05/11/2024] [Indexed: 05/19/2024]
Abstract
Alzheimer's disease (AD) is the most common type of cognitive impairment. AD is closely related to orthopedic diseases, such as osteoporosis and osteoarthritis, in terms of epidemiology and pathogenesis. Brain and bone tissues can regulate each other in different manners through bone-brain axis. This article reviews the research progress of the relationship between AD and orthopedic diseases, bone-brain axis mechanisms of AD, and AD therapy by targeting bone-brain axis, in order to deepen the understanding of bone-brain communication, promote early diagnosis and explore new therapy for AD patients.
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Affiliation(s)
- Fan Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Wei Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Center for Cognitive Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
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14
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Volloch V, Rits-Volloch S. ACH2.0/E, the Consolidated Theory of Conventional and Unconventional Alzheimer's Disease: Origins, Progression, and Therapeutic Strategies. Int J Mol Sci 2024; 25:6036. [PMID: 38892224 PMCID: PMC11172602 DOI: 10.3390/ijms25116036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/19/2024] [Accepted: 05/21/2024] [Indexed: 06/21/2024] Open
Abstract
The centrality of amyloid-beta (Aβ) is an indisputable tenet of Alzheimer's disease (AD). It was initially indicated by the detection (1991) of a mutation within Aβ protein precursor (AβPP) segregating with the disease, which served as a basis for the long-standing Amyloid Cascade Hypothesis (ACH) theory of AD. In the intervening three decades, this notion was affirmed and substantiated by the discovery of numerous AD-causing and AD-protective mutations with all, without an exception, affecting the structure, production, and intraneuronal degradation of Aβ. The ACH postulated that the disease is caused and driven by extracellular Aβ. When it became clear that this is not the case, and the ACH was largely discredited, a new theory of AD, dubbed ACH2.0 to re-emphasize the centrality of Aβ, was formulated. In the ACH2.0, AD is caused by physiologically accumulated intraneuronal Aβ (iAβ) derived from AβPP. Upon reaching the critical threshold, it triggers activation of the autonomous AβPP-independent iAβ generation pathway; its output is retained intraneuronally and drives the AD pathology. The bridge between iAβ derived from AβPP and that generated independently of AβPP is the neuronal integrated stress response (ISR) elicited by the former. The ISR severely suppresses cellular protein synthesis; concurrently, it activates the production of a small subset of proteins, which apparently includes components necessary for operation of the AβPP-independent iAβ generation pathway that are absent under regular circumstances. The above sequence of events defines "conventional" AD, which is both caused and driven by differentially derived iAβ. Since the ISR can be elicited by a multitude of stressors, the logic of the ACH2.0 mandates that another class of AD, referred to as "unconventional", has to occur. Unconventional AD is defined as a disease where a stressor distinct from AβPP-derived iAβ elicits the neuronal ISR. Thus, the essence of both, conventional and unconventional, forms of AD is one and the same, namely autonomous, self-sustainable, AβPP-independent production of iAβ. What distinguishes them is the manner of activation of this pathway, i.e., the mode of causation of the disease. In unconventional AD, processes occurring at locations as distant from and seemingly as unrelated to the brain as, say, the knee can potentially trigger the disease. The present study asserts that these processes include traumatic brain injury (TBI), chronic traumatic encephalopathy, viral and bacterial infections, and a wide array of inflammatory conditions. It considers the pathways which are common to all these occurrences and culminate in the elicitation of the neuronal ISR, analyzes the dynamics of conventional versus unconventional AD, shows how the former can morph into the latter, explains how a single TBI can hasten the occurrence of AD and why it takes multiple TBIs to trigger the disease, and proposes the appropriate therapeutic strategies. It posits that yet another class of unconventional AD may occur where the autonomous AβPP-independent iAβ production pathway is initiated by an ISR-unrelated activator, and consolidates the above notions in a theory of AD, designated ACH2.0/E (for expanded ACH2.0), which incorporates the ACH2.0 as its special case and retains the centrality of iAβ produced independently of AβPP as the driving agent of the disease.
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Affiliation(s)
- Vladimir Volloch
- Department of Developmental Biology, Harvard School of Dental Medicine, Boston, MA 02115, USA
| | - Sophia Rits-Volloch
- Division of Molecular Medicine, Children’s Hospital, Boston, MA 02115, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
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15
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Wang B. Exploring intricate connectivity patterns for cognitive functioning and neurological disorders: incorporating frequency-domain NC method into fMRI analysis. Cereb Cortex 2024; 34:bhae195. [PMID: 38741270 DOI: 10.1093/cercor/bhae195] [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: 03/27/2024] [Revised: 04/18/2024] [Accepted: 04/23/2024] [Indexed: 05/16/2024] Open
Abstract
This study extends the application of the frequency-domain new causality method to functional magnetic resonance imaging analysis. Strong causality, weak causality, balanced causality, cyclic causality, and transitivity causality were constructed to simulate varying degrees of causal associations among multivariate functional-magnetic-resonance-imaging blood-oxygen-level-dependent signals. Data from 1,252 groups of individuals with different degrees of cognitive impairment were collected. The frequency-domain new causality method was employed to construct directed efficient connectivity networks of the brain, analyze the statistical characteristics of topological variations in brain regions related to cognitive impairment, and utilize these characteristics as features for training a deep learning model. The results demonstrated that the frequency-domain new causality method accurately detected causal associations among simulated signals of different degrees. The deep learning tests also confirmed the superior performance of new causality, surpassing the other three methods in terms of accuracy, precision, and recall rates. Furthermore, consistent significant differences were observed in the brain efficiency networks, where several subregions defined by the multimodal parcellation method of Human Connectome Project simultaneously appeared in the topological statistical results of different patient groups. This suggests a significant association between these fine-grained cortical subregions, driven by multimodal data segmentation, and human cognitive function, making them potential biomarkers for further analysis of Alzheimer's disease.
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Affiliation(s)
- Bocheng Wang
- College of Media Engineering, Communication University of Zhejiang, 998 Xue Yuan Street, Qiantang District, Hangzhou, Zhejiang 310018, China
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16
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Liu Z, Shi D, Cai Y, Li A, Lan G, Sun P, Liu L, Zhu Y, Yang J, Zhou Y, Guo L, Zhang L, Deng S, Chen S, Yu X, Chen X, Zhao R, Wang Q, Ran P, Xu L, Zhou L, Sun K, Wang X, Peng Q, Han Y, Guo T. Pathophysiology characterization of Alzheimer's disease in South China's aging population: for the Greater-Bay-Area Healthy Aging Brain Study (GHABS). Alzheimers Res Ther 2024; 16:84. [PMID: 38627753 PMCID: PMC11020808 DOI: 10.1186/s13195-024-01458-z] [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: 10/28/2023] [Accepted: 04/12/2024] [Indexed: 04/19/2024]
Abstract
INTRODUCTION The Guangdong-Hong Kong-Macao Greater-Bay-Area of South China has an 86 million population and faces a significant challenge of Alzheimer's disease (AD). However, the characteristics and prevalence of AD in this area are still unclear due to the rarely available community-based neuroimaging AD cohort. METHODS Following the standard protocols of the Alzheimer's Disease Neuroimaging Initiative, the Greater-Bay-Area Healthy Aging Brain Study (GHABS) was initiated in 2021. GHABS participants completed clinical assessments, plasma biomarkers, genotyping, magnetic resonance imaging (MRI), β-amyloid (Aβ) positron emission tomography (PET) imaging, and tau PET imaging. The GHABS cohort focuses on pathophysiology characterization and early AD detection in the Guangdong-Hong Kong-Macao Greater Bay Area. In this study, we analyzed plasma Aβ42/Aβ40 (A), p-Tau181 (T), neurofilament light, and GFAP by Simoa in 470 Chinese older adults, and 301, 195, and 70 had MRI, Aβ PET, and tau PET, respectively. Plasma biomarkers, Aβ PET, tau PET, hippocampal volume, and temporal-metaROI cortical thickness were compared between normal control (NC), subjective cognitive decline (SCD), mild cognitive impairment (MCI), and dementia groups, controlling for age, sex, and APOE-ε4. The prevalence of plasma A/T profiles and Aβ PET positivity were also determined in different diagnostic groups. RESULTS The aims, study design, data collection, and potential applications of GHABS are summarized. SCD individuals had significantly higher plasma p-Tau181 and plasma GFAP than the NC individuals. MCI and dementia patients showed more abnormal changes in all the plasma and neuroimaging biomarkers than NC and SCD individuals. The frequencies of plasma A+/T+ (NC; 5.9%, SCD: 8.2%, MCI: 25.3%, dementia: 64.9%) and Aβ PET positivity (NC: 25.6%, SCD: 22.5%, MCI: 47.7%, dementia: 89.3%) were reported. DISCUSSION The GHABS cohort may provide helpful guidance toward designing standard AD community cohorts in South China. This study, for the first time, reported the pathophysiology characterization of plasma biomarkers, Aβ PET, tau PET, hippocampal atrophy, and AD-signature cortical thinning, as well as the prevalence of Aβ PET positivity in the Guangdong-Hong Kong-Macao Greater Bay Area of China. These findings provide novel insights into understanding the characteristics of abnormal AD pathological changes in South China's older population.
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Affiliation(s)
- Zhen Liu
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Dai Shi
- Neurology Medicine Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, China
| | - Yue Cai
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Anqi Li
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Guoyu Lan
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Pan Sun
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Lin Liu
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Yalin Zhu
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Jie Yang
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Yajing Zhou
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Lizhi Guo
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Laihong Zhang
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Shuqing Deng
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Shuda Chen
- Neurology Medicine Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, China
| | - Xianfeng Yu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Xuhui Chen
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, 518000, China
| | - Ruiyue Zhao
- Department of Nuclear Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510120, China
| | - Qingyong Wang
- Department of Neurology, University of Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, 518107, China
| | - Pengcheng Ran
- Department of Nuclear Medicine, Guangdong Hospital of Traditional Chinese Medicine, Guangzhou, 510120, China
| | - Linsen Xu
- Department of Medical Imaging, University of Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, 518106, China
| | - Liemin Zhou
- Neurology Medicine Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, China
| | - Kun Sun
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Xinlu Wang
- Department of Nuclear Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510120, China
| | - Qiyu Peng
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Ying Han
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
- School of Biomedical Engineering, Hainan University, Haikou, 570228, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China
- National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Tengfei Guo
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China.
- Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
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Cai Y, Shi D, Lan G, Chen L, Jiang Y, Zhou L, Guo T. Association of β-Amyloid, Microglial Activation, Cortical Thickness, and Metabolism in Older Adults Without Dementia. Neurology 2024; 102:e209205. [PMID: 38489560 DOI: 10.1212/wnl.0000000000209205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 12/13/2023] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Plasma β-amyloid42 (Aβ42)/Aβ40 levels have shown promise in identifying Aβ-PET positive individuals. This study explored the concordance and discordance of plasma Aβ42/Aβ40 positivity (Plasma±) with CSF Aβ42/Aβ40 positivity (CSF±) and Aβ-PET positivity (PET±) in older adults without dementia. Associations of Aβ deposition, cortical thickness, glucose metabolism, and microglial activation were also investigated. METHODS We selected participants without dementia who had concurrent plasma Aβ42/Aβ40 and Aβ-PET scans from the Alzheimer's Disease Neuroimaging Initiative cohort. Participants were categorized into Plasma±/PET± based on thresholds of composite 18F-florbetapir (FBP) standardized uptake value ratio (SUVR) ≥1.11 and plasma Aβ42/Aβ40 ≤0.1218. Aβ-PET-negative individuals were further divided into Plasma±/CSF± (CSF Aβ42/Aβ40 ≤0.138), and the concordance and discordance of Aβ42/Aβ40 in the plasma and CSF were investigated. Baseline and slopes of regional FBP SUVR were compared among Plasma±/PET± groups, and associations of regional FBP SUVR, FDG SUVR, cortical thickness, and CSF soluble Triggering Receptor Expressed on Myeloid Cell 2 (sTREM2) levels were analyzed. RESULTS One hundred eighty participants (mean age 72.7 years, 51.4% female, 96 cognitively unimpaired, and 84 with mild cognitive impairment) were included. We found that the proportion of Plasma+/PET- individuals was 6.14 times higher (odds ratio (OR) = 6.143, 95% confidence interval (CI) 2.740-16.185, p < 0.001) than that of Plasma-/PET+ individuals, and Plasma+/CSF- individuals showed 8.5 times larger percentage (OR = 8.5, 95% CI: 3.031-32.974, p < 0.001) than Plasma-/CSF+ individuals in Aβ-PET-negative individuals. Besides, Plasma+/PET- individuals exhibited faster (p < 0.05) Aβ accumulation predominantly in bilateral banks of superior temporal sulcus (BANKSSTS) and supramarginal, and superior parietal cortices compared with Plasma-/PET- individuals, despite no difference in baseline FBP SUVRs. In Plasma+/PET+ individuals, higher CSF sTREM2 levels correlated with slower BANKSSTS Aβ accumulation (standardized β (βstd) = -0.418, 95% CI -0.681 to -0.154, p = 0.002). Conversely, thicker cortical thickness and higher glucose metabolism in supramarginal and superior parietal cortices were associated with faster (p < 0.05) CSF sTREM2 increase in Plasma+/PET- individuals rather than in Plasma+/PET+ individuals. DISCUSSION These findings suggest that plasma Aβ42/Aβ40 abnormalities may predate CSF Aβ42/Aβ40 and Aβ-PET abnormalities. Higher sTREM2-related microglial activation is linked to thicker cortical thickness and higher metabolism in early amyloidosis stages but tends to mitigate Aβ accumulation primarily at relatively advanced stages.
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Affiliation(s)
- Yue Cai
- From the Institute of Biomedical Engineering (Y.C., G.L., L.C., T.G.), Shenzhen Bay Laboratory; Neurology Medicine Center (D.S., L.Z.), The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China; Department of Psychology (Y.J.), University of Texas at Austin; and Institute of Biomedical Engineering (T.G.), Peking University Shenzhen Graduate School, China
| | - Dai Shi
- From the Institute of Biomedical Engineering (Y.C., G.L., L.C., T.G.), Shenzhen Bay Laboratory; Neurology Medicine Center (D.S., L.Z.), The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China; Department of Psychology (Y.J.), University of Texas at Austin; and Institute of Biomedical Engineering (T.G.), Peking University Shenzhen Graduate School, China
| | - Guoyu Lan
- From the Institute of Biomedical Engineering (Y.C., G.L., L.C., T.G.), Shenzhen Bay Laboratory; Neurology Medicine Center (D.S., L.Z.), The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China; Department of Psychology (Y.J.), University of Texas at Austin; and Institute of Biomedical Engineering (T.G.), Peking University Shenzhen Graduate School, China
| | - Linting Chen
- From the Institute of Biomedical Engineering (Y.C., G.L., L.C., T.G.), Shenzhen Bay Laboratory; Neurology Medicine Center (D.S., L.Z.), The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China; Department of Psychology (Y.J.), University of Texas at Austin; and Institute of Biomedical Engineering (T.G.), Peking University Shenzhen Graduate School, China
| | - Yanni Jiang
- From the Institute of Biomedical Engineering (Y.C., G.L., L.C., T.G.), Shenzhen Bay Laboratory; Neurology Medicine Center (D.S., L.Z.), The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China; Department of Psychology (Y.J.), University of Texas at Austin; and Institute of Biomedical Engineering (T.G.), Peking University Shenzhen Graduate School, China
| | - Liemin Zhou
- From the Institute of Biomedical Engineering (Y.C., G.L., L.C., T.G.), Shenzhen Bay Laboratory; Neurology Medicine Center (D.S., L.Z.), The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China; Department of Psychology (Y.J.), University of Texas at Austin; and Institute of Biomedical Engineering (T.G.), Peking University Shenzhen Graduate School, China
| | - Tengfei Guo
- From the Institute of Biomedical Engineering (Y.C., G.L., L.C., T.G.), Shenzhen Bay Laboratory; Neurology Medicine Center (D.S., L.Z.), The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China; Department of Psychology (Y.J.), University of Texas at Austin; and Institute of Biomedical Engineering (T.G.), Peking University Shenzhen Graduate School, China
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Zhao L, Liu J, Zhao W, Chen J, Fan J, Ge T, Tu Y. Morphological and genetic decoding shows heterogeneous patterns of brain aging in chronic musculoskeletal pain. NATURE MENTAL HEALTH 2024; 2:435-449. [DOI: 10.1038/s44220-024-00223-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 02/29/2024] [Indexed: 04/02/2025]
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Umoh IO, dos Reis HJ, de Oliveira ACP. Molecular Mechanisms Linking Osteoarthritis and Alzheimer's Disease: Shared Pathways, Mechanisms and Breakthrough Prospects. Int J Mol Sci 2024; 25:3044. [PMID: 38474288 PMCID: PMC10931612 DOI: 10.3390/ijms25053044] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 02/04/2024] [Accepted: 02/09/2024] [Indexed: 03/14/2024] Open
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disease mostly affecting the elderly population. It is characterized by cognitive decline that occurs due to impaired neurotransmission and neuronal death. Even though deposition of amyloid beta (Aβ) peptides and aggregation of hyperphosphorylated TAU have been established as major pathological hallmarks of the disease, other factors such as the interaction of genetic and environmental factors are believed to contribute to the development and progression of AD. In general, patients initially present mild forgetfulness and difficulty in forming new memories. As it progresses, there are significant impairments in problem solving, social interaction, speech and overall cognitive function of the affected individual. Osteoarthritis (OA) is the most recurrent form of arthritis and widely acknowledged as a whole-joint disease, distinguished by progressive degeneration and erosion of joint cartilage accompanying synovitis and subchondral bone changes that can prompt peripheral inflammatory responses. Also predominantly affecting the elderly, OA frequently embroils weight-bearing joints such as the knees, spine and hips leading to pains, stiffness and diminished joint mobility, which in turn significantly impacts the patient's standard of life. Both infirmities can co-occur in older adults as a result of independent factors, as multiple health conditions are common in old age. Additionally, risk factors such as genetics, lifestyle changes, age and chronic inflammation may contribute to both conditions in some individuals. Besides localized peripheral low-grade inflammation, it is notable that low-grade systemic inflammation prompted by OA can play a role in AD pathogenesis. Studies have explored relationships between systemic inflammatory-associated diseases like obesity, hypertension, dyslipidemia, diabetes mellitus and AD. Given that AD is the most common form of dementia and shares similar risk factors with OA-both being age-related and low-grade inflammatory-associated diseases, OA may indeed serve as a risk factor for AD. This work aims to review literature on molecular mechanisms linking OA and AD pathologies, and explore potential connections between these conditions alongside future prospects and innovative treatments.
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Affiliation(s)
| | - Helton Jose dos Reis
- Departamento de Farmacologia, Instituto de Ciências Biológicas, Federal University of Minas Gerais, Av. Antonio Carlos 6627, Belo Horizonte 31270-901, MG, Brazil;
| | - Antonio Carlos Pinheiro de Oliveira
- Departamento de Farmacologia, Instituto de Ciências Biológicas, Federal University of Minas Gerais, Av. Antonio Carlos 6627, Belo Horizonte 31270-901, MG, Brazil;
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