1
|
Tang Y, Zhou X, Cao J, Li Z, Yin W, Wan K, Huang C, Zhu W, Yin J, Zhang W, Zhu X, Sun Z. Synergistic effect of folate and MTHFR C677T on hippocampal subfields and perfusion in Alzheimer's disease. Prog Neuropsychopharmacol Biol Psychiatry 2024; 134:111071. [PMID: 38908503 DOI: 10.1016/j.pnpbp.2024.111071] [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: 01/31/2024] [Revised: 06/09/2024] [Accepted: 06/19/2024] [Indexed: 06/24/2024]
Abstract
BACKGROUND Low folate intake and methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism have been suggested to increase the risk of Alzheimer's disease (AD). However, the synergistic effects and their impact on brain structure and perfusion remain unclear. METHODS This study explored the effects of dietary and genetic deficiencies in folate metabolism on the volume of the hippocampal subregions, cerebral perfusion, and cognitive decline in 71 cognitively unimpaired (CU) individuals and 102 patients with mild cognitive impairment (MCI) due to AD or AD. All participants underwent magnetic resonance imaging, laboratory examinations, and neuropsychological assessments. The hippocampal subfields were segmented using Freesurfer, and arterial spin labeling was used to measure the cerebral blood flow. RESULTS We found a significant group-by-MTHFR interaction effect on folate. Patients with AD and the 677 T allele showed hypoperfusion in the left precuneus compared to patients without this mutation, which mediated the relationship between low folate level and cognitive decline in patients carrying the 677 T allele. Moreover, a synergistic effect was observed for the combination of decreased folate concentrations and the presence of the MTHFR 677 T allele on the atrophy of specific hippocampal subregions in patients with AD. CONCLUSIONS In addition to offering insights into the neuronal mechanism underlying gene-dependent folate-induced cognitive impairment in AD, these findings may have clinical significance for the allocation of auxiliary folate supplementation therapy in patients with AD with low folate levels and carrying the MTHFR 677 T allele and may eventually promote the selection of early individualized AD drug therapy.
Collapse
Affiliation(s)
- Yating Tang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Xia Zhou
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Jing Cao
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Zhiwei Li
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Wenwen Yin
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Ke Wan
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Chaojuan Huang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Wenhao Zhu
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Jiabin Yin
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Wei Zhang
- Department of Rehabilitation Medicine, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Xiaoqun Zhu
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
| | - Zhongwu Sun
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
| |
Collapse
|
2
|
Kaštelan S, Nikuševa-Martić T, Pašalić D, Antunica AG, Zimak DM. Genetic and Epigenetic Biomarkers Linking Alzheimer's Disease and Age-Related Macular Degeneration. Int J Mol Sci 2024; 25:7271. [PMID: 39000382 PMCID: PMC11242094 DOI: 10.3390/ijms25137271] [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: 06/08/2024] [Revised: 06/26/2024] [Accepted: 06/29/2024] [Indexed: 07/16/2024] Open
Abstract
Alzheimer's disease (AD) represents a prominent neurodegenerative disorder (NDD), accounting for the majority of dementia cases worldwide. In addition to memory deficits, individuals with AD also experience alterations in the visual system. As the retina is an extension of the central nervous system (CNS), the loss in retinal ganglion cells manifests clinically as decreased visual acuity, narrowed visual field, and reduced contrast sensitivity. Among the extensively studied retinal disorders, age-related macular degeneration (AMD) shares numerous aging processes and risk factors with NDDs such as cognitive impairment that occurs in AD. Histopathological investigations have revealed similarities in pathological deposits found in the retina and brain of patients with AD and AMD. Cellular aging processes demonstrate similar associations with organelles and signaling pathways in retinal and brain tissues. Despite these similarities, there are distinct genetic backgrounds underlying these diseases. This review comprehensively explores the genetic similarities and differences between AMD and AD. The purpose of this review is to discuss the parallels and differences between AMD and AD in terms of pathophysiology, genetics, and epigenetics.
Collapse
Affiliation(s)
- Snježana Kaštelan
- Department of Ophthalmology, Clinical Hospital Dubrava, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | - Tamara Nikuševa-Martić
- Department of Biology and Genetics, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia;
| | - Daria Pašalić
- Department of Medical Chemistry, Biochemistry and Clinical Chemistry, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | | | | |
Collapse
|
3
|
Sasner M, Preuss C, Pandey RS, Uyar A, Garceau D, Kotredes KP, Williams H, Oblak AL, Lin PB, Perkins B, Soni D, Ingraham C, Lee‐Gosselin A, Lamb BT, Howell GR, Carter GW. In vivo validation of late-onset Alzheimer's disease genetic risk factors. Alzheimers Dement 2024; 20:4970-4984. [PMID: 38687251 PMCID: PMC11247676 DOI: 10.1002/alz.13840] [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: 12/12/2023] [Revised: 03/14/2024] [Accepted: 03/14/2024] [Indexed: 05/02/2024]
Abstract
INTRODUCTION Genome-wide association studies have identified over 70 genetic loci associated with late-onset Alzheimer's disease (LOAD), but few candidate polymorphisms have been functionally assessed for disease relevance and mechanism of action. METHODS Candidate genetic risk variants were informatically prioritized and individually engineered into a LOAD-sensitized mouse model that carries the AD risk variants APOE ε4/ε4 and Trem2*R47H. The potential disease relevance of each model was assessed by comparing brain transcriptomes measured with the Nanostring Mouse AD Panel at 4 and 12 months of age with human study cohorts. RESULTS We created new models for 11 coding and loss-of-function risk variants. Transcriptomic effects from multiple genetic variants recapitulated a variety of human gene expression patterns observed in LOAD study cohorts. Specific models matched to emerging molecular LOAD subtypes. DISCUSSION These results provide an initial functionalization of 11 candidate risk variants and identify potential preclinical models for testing targeted therapeutics. HIGHLIGHTS A novel approach to validate genetic risk factors for late-onset AD (LOAD) is presented. LOAD risk variants were knocked in to conserved mouse loci. Variant effects were assayed by transcriptional analysis. Risk variants in Abca7, Mthfr, Plcg2, and Sorl1 loci modeled molecular signatures of clinical disease. This approach should generate more translationally relevant animal models.
Collapse
Affiliation(s)
| | | | - Ravi S. Pandey
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | - Asli Uyar
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | | | | | | | - Adrian L. Oblak
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Peter Bor‐Chian Lin
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Bridget Perkins
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Disha Soni
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Cindy Ingraham
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Audrey Lee‐Gosselin
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Bruce T. Lamb
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | | | - Gregory W. Carter
- The Jackson LaboratoryBar HarborMaineUSA
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| |
Collapse
|
4
|
Martínez Duncker Rebolledo E, Chan D, Christensen KE, Reagan AM, Howell GR, Rozen R, Trasler J. Sperm DNA methylation defects in a new mouse model of the 5,10-methylenetetrahydrofolate reductase 677C>T variant and correction with moderate dose folic acid supplementation. Mol Hum Reprod 2024; 30:gaae008. [PMID: 38366926 PMCID: PMC10980591 DOI: 10.1093/molehr/gaae008] [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: 07/20/2023] [Revised: 01/30/2024] [Indexed: 02/19/2024] Open
Abstract
5,10-Methylenetetrahydrofolate reductase (MTHFR) is an enzyme that plays a key role in providing methyl groups for DNA methylation, including during spermatogenesis. A common genetic variant in humans (MTHFR 677C>T) results in reduced enzyme activity and has been linked to various disorders, including male infertility. A new animal model has been created by reproducing the human equivalent of the polymorphism in mice using CRISPR/Cas9. Biochemical parameters in the Mthfr 677TT mice recapitulate alterations found in MTHFR 677TT men. Our aims were to characterize the sperm DNA methylome of the Mthfr 677CC and TT mice on a control diet (2 mg folic acid/kg diet) and assess the effects of folic acid supplementation (10 mg/kg diet) on the sperm DNA methylome. Body and reproductive organ weights, testicular sperm counts, and histology were examined. DNA methylation in sperm was assessed using bisulfite pyrosequencing and whole-genome bisulfite sequencing (WGBS). Reproductive parameters and locus-specific imprinted gene methylation were unaffected by genotype or diet. Using WGBS, sperm from 677TT mice had 360 differentially methylated tiles as compared to 677CC mice, predominantly hypomethylation (60% of tiles). Folic acid supplementation mostly caused hypermethylation in sperm of males of both genotypes and was found to partially correct the DNA methylation alterations in sperm associated with the TT genotype. The new mouse model will be useful in understanding the role of MTHFR deficiency in male fertility and in designing folate supplementation regimens for the clinic.
Collapse
Affiliation(s)
- Edgar Martínez Duncker Rebolledo
- Child Health and Human Development Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Donovan Chan
- Child Health and Human Development Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Karen E Christensen
- Child Health and Human Development Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | | | - Gareth R Howell
- The Jackson Laboratory, Bar Harbor, ME, USA
- Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA
- Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME, USA
| | - Rima Rozen
- Child Health and Human Development Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Department of Pediatrics, McGill University, Montreal, QC, Canada
| | - Jacquetta Trasler
- Child Health and Human Development Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Department of Pediatrics, McGill University, Montreal, QC, Canada
- Department of Pharmacology & Therapeutics, Montreal, QC, Canada
| |
Collapse
|
5
|
Leclerc D, Christensen KE, Reagan AM, Keser V, Luan Y, Malysheva OV, Wasek B, Bottiglieri T, Caudill MA, Howell GR, Rozen R. Folate Deficiency and/or the Genetic Variant Mthfr 677C >T Can Drive Hepatic Fibrosis or Steatosis in Mice, in a Sex-Specific Manner. Mol Nutr Food Res 2024; 68:e2300355. [PMID: 38327171 DOI: 10.1002/mnfr.202300355] [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: 05/31/2023] [Revised: 11/24/2023] [Indexed: 02/09/2024]
Abstract
SCOPE Disturbances in one-carbon metabolism contribute to nonalcoholic fatty liver disease (NAFLD) which encompasses steatosis, steatohepatitis, fibrosis, and cirrhosis. The goal is to examine impact of folate deficiency and the Mthfr677C >T variant on NAFLD. METHODS AND RESULTS This study uses the new Mthfr677C >T mouse model for the human MTHFR677C >T variant. Mthfr677CC and Mthfr677TT mice were fed control diet (CD) or folate-deficient (FD) diets for 4 months. FD and Mthfr677TT alter choline/methyl metabolites in liver and/or plasma (decreased S-adenosylmethionine (SAM):S-adenosylhomocysteine (SAH) ratio, methyltetrahydrofolate, and betaine; increased homocysteine [Hcy]). FD, with contribution from Mthfr677TT, provokes fibrosis in males. Studies of normal livers reveal alterations in plasma markers and gene expression that suggest an underlying predisposition to fibrosis induced by FD and/or Mthfr677TT in males. These changes are absent or reverse in females, consistent with the sex disparity of fibrosis. Sex-based differences in methylation potential, betaine, sphingomyelin, and trimethylamine-N-oxide (TMAO) levels may prevent fibrogenesis in females. In contrast, Mthfr677TT alters choline metabolism, dysregulates expression of lipid metabolism genes, and promotes steatosis in females. CONCLUSION This study suggests that folate deficiency predisposes males to fibrosis, which is exacerbated by Mthfr677TT, whereas Mthfr677TT predisposes females to steatosis, and reveal novel contributory mechanisms for these NAFLD-related disorders.
Collapse
Affiliation(s)
- Daniel Leclerc
- Departments of Human Genetics and Pediatrics, McGill University, Research Institute of the McGill University Health Center, Montreal, Quebec, Canada
| | - Karen E Christensen
- Departments of Human Genetics and Pediatrics, McGill University, Research Institute of the McGill University Health Center, Montreal, Quebec, Canada
| | | | - Vafa Keser
- Departments of Human Genetics and Pediatrics, McGill University, Research Institute of the McGill University Health Center, Montreal, Quebec, Canada
| | - Yan Luan
- Departments of Human Genetics and Pediatrics, McGill University, Research Institute of the McGill University Health Center, Montreal, Quebec, Canada
| | - Olga V Malysheva
- Division of Nutritional Sciences and Genomics, Cornell University, Ithaca, NY, USA
| | - Brandi Wasek
- Center of Metabolomics, Institute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas, TX, USA
| | - Teodoro Bottiglieri
- Center of Metabolomics, Institute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas, TX, USA
| | - Marie A Caudill
- Division of Nutritional Sciences and Genomics, Cornell University, Ithaca, NY, USA
| | | | - Rima Rozen
- Departments of Human Genetics and Pediatrics, McGill University, Research Institute of the McGill University Health Center, Montreal, Quebec, Canada
| |
Collapse
|
6
|
Sasner M, Preuss C, Pandey RS, Uyar A, Garceau D, Kotredes KP, Williams H, Oblak AL, Lin PBC, Perkins B, Soni D, Ingraham C, Lee-Gosselin A, Lamb BT, Howell GR, Carter GW. In vivo validation of late-onset Alzheimer's disease genetic risk factors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.21.572849. [PMID: 38187758 PMCID: PMC10769393 DOI: 10.1101/2023.12.21.572849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Introduction Genome-wide association studies have identified over 70 genetic loci associated with late-onset Alzheimer's disease (LOAD), but few candidate polymorphisms have been functionally assessed for disease relevance and mechanism of action. Methods Candidate genetic risk variants were informatically prioritized and individually engineered into a LOAD-sensitized mouse model that carries the AD risk variants APOE4 and Trem2*R47H. Potential disease relevance of each model was assessed by comparing brain transcriptomes measured with the Nanostring Mouse AD Panel at 4 and 12 months of age with human study cohorts. Results We created new models for 11 coding and loss-of-function risk variants. Transcriptomic effects from multiple genetic variants recapitulated a variety of human gene expression patterns observed in LOAD study cohorts. Specific models matched to emerging molecular LOAD subtypes. Discussion These results provide an initial functionalization of 11 candidate risk variants and identify potential preclinical models for testing targeted therapeutics.
Collapse
Affiliation(s)
- Michael Sasner
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609 USA
| | | | - Ravi S Pandey
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032 USA
| | - Asli Uyar
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032 USA
| | - Dylan Garceau
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609 USA
| | | | | | - Adrian L Oblak
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Peter Bor-Chian Lin
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Bridget Perkins
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Disha Soni
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Cindy Ingraham
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Audrey Lee-Gosselin
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Bruce T Lamb
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Gareth R Howell
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609 USA
| | - Gregory W Carter
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609 USA
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032 USA
| |
Collapse
|
7
|
Andrade-Guerrero J, Santiago-Balmaseda A, Jeronimo-Aguilar P, Vargas-Rodríguez I, Cadena-Suárez AR, Sánchez-Garibay C, Pozo-Molina G, Méndez-Catalá CF, Cardenas-Aguayo MDC, Diaz-Cintra S, Pacheco-Herrero M, Luna-Muñoz J, Soto-Rojas LO. Alzheimer's Disease: An Updated Overview of Its Genetics. Int J Mol Sci 2023; 24:ijms24043754. [PMID: 36835161 PMCID: PMC9966419 DOI: 10.3390/ijms24043754] [Citation(s) in RCA: 60] [Impact Index Per Article: 60.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 02/16/2023] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disease in the world. It is classified as familial and sporadic. The dominant familial or autosomal presentation represents 1-5% of the total number of cases. It is categorized as early onset (EOAD; <65 years of age) and presents genetic mutations in presenilin 1 (PSEN1), presenilin 2 (PSEN2), or the Amyloid precursor protein (APP). Sporadic AD represents 95% of the cases and is categorized as late-onset (LOAD), occurring in patients older than 65 years of age. Several risk factors have been identified in sporadic AD; aging is the main one. Nonetheless, multiple genes have been associated with the different neuropathological events involved in LOAD, such as the pathological processing of Amyloid beta (Aβ) peptide and Tau protein, as well as synaptic and mitochondrial dysfunctions, neurovascular alterations, oxidative stress, and neuroinflammation, among others. Interestingly, using genome-wide association study (GWAS) technology, many polymorphisms associated with LOAD have been identified. This review aims to analyze the new genetic findings that are closely related to the pathophysiology of AD. Likewise, it analyzes the multiple mutations identified to date through GWAS that are associated with a high or low risk of developing this neurodegeneration. Understanding genetic variability will allow for the identification of early biomarkers and opportune therapeutic targets for AD.
Collapse
Affiliation(s)
- Jesús Andrade-Guerrero
- Laboratorio de Patogénesis Molecular, Laboratorio 4, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Departamento de Neurobiología del Desarrollo y Neurofisiología, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Juriquilla 76230, Querétaro, Mexico
| | - Alberto Santiago-Balmaseda
- Laboratorio de Patogénesis Molecular, Laboratorio 4, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Red MEDICI, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
| | - Paola Jeronimo-Aguilar
- Laboratorio de Patogénesis Molecular, Laboratorio 4, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Red MEDICI, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México 11340, Mexico
| | - Isaac Vargas-Rodríguez
- Departamento de Neurobiología del Desarrollo y Neurofisiología, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Juriquilla 76230, Querétaro, Mexico
| | - Ana Ruth Cadena-Suárez
- National Dementia BioBank, Ciencias Biológicas, Facultad de Estudios Superiores Cuautitlán, Universidad-Nacional Autónoma de México, Cuatitlan 53150, Edomex, Mexico
| | - Carlos Sánchez-Garibay
- Departamento de Neuropatología, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Ciudad de México 14269, Mexico
| | - Glustein Pozo-Molina
- Laboratorio de Genética y Oncología Molecular, Laboratorio 5, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
| | - Claudia Fabiola Méndez-Catalá
- Laboratorio de Genética y Oncología Molecular, Laboratorio 5, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- División de Investigación y Posgrado, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de Mexico, Tlalnepantla 54090, Edomex, Mexico
| | - Maria-del-Carmen Cardenas-Aguayo
- Laboratory of Cellular Reprogramming, Departamento de Fisiología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - Sofía Diaz-Cintra
- Departamento de Neurobiología del Desarrollo y Neurofisiología, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Juriquilla 76230, Querétaro, Mexico
| | - Mar Pacheco-Herrero
- Neuroscience Research Laboratory, Faculty of Health Sciences, Pontificia Universidad Católica Madre y Maestra, Santiago de los Caballeros 51000, Dominican Republic
| | - José Luna-Muñoz
- National Dementia BioBank, Ciencias Biológicas, Facultad de Estudios Superiores Cuautitlán, Universidad-Nacional Autónoma de México, Cuatitlan 53150, Edomex, Mexico
- National Brain Bank-UNPHU, Universidad Nacional Pedro Henríquez Ureña, Santo Domingo 1423, Dominican Republic
- Correspondence: (J.L.-M.); (L.O.S.-R.); Tel.: +52-55-45-23-41-20 (J.L.-M.); +52-55-39-37-94-30 (L.O.S.-R.)
| | - Luis O. Soto-Rojas
- Laboratorio de Patogénesis Molecular, Laboratorio 4, Edificio A4, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Red MEDICI, Carrera Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Edomex, Mexico
- Correspondence: (J.L.-M.); (L.O.S.-R.); Tel.: +52-55-45-23-41-20 (J.L.-M.); +52-55-39-37-94-30 (L.O.S.-R.)
| |
Collapse
|