Authors:
Y.L. Xu Department of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, 430065, China

Search for other papers by Y.L. Xu in
Current site
Google Scholar
PubMed
Close
,
Y.D. Zhang Department of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, 430065, China

Search for other papers by Y.D. Zhang in
Current site
Google Scholar
PubMed
Close
,
Z.P. Wang Department of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, 430065, China

Search for other papers by Z.P. Wang in
Current site
Google Scholar
PubMed
Close
,
W.W. Chen Department of Biology, Medical College, Wuhan University of Science and Technology, Wuhan, 430065, China

Search for other papers by W.W. Chen in
Current site
Google Scholar
PubMed
Close
,
C. Fan Department of Pharmacy, Medical College, Wuhan University of Science and Technology, Wuhan, 430065, China

Search for other papers by C. Fan in
Current site
Google Scholar
PubMed
Close
,
J.Q. Xu Department of Nutriology, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, 2 Xudong Second Road, Wuhan, 430062, China

Search for other papers by J.Q. Xu in
Current site
Google Scholar
PubMed
Close
,
T. Wang Department of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, 430065, China
Department of Pharmacy, Medical College, Wuhan University of Science and Technology, Wuhan, 430065, China

Search for other papers by T. Wang in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-5925-0237
, and
S. Rong Department of Nutrition Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, 430065, China

Search for other papers by S. Rong in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-8363-0862
Restricted access

Abstract

To explore the effect of sesamol on the cognition of APP/PS1 mice, 8-week-old APP/PS1 and wild-type male mice were divided into AD model group, AD + sesamol (50 mg kg−1 bw) group, and Control group. Sesamol was orally administered once a day for 5 months. Morris water maze was used to evaluate the learning and memory ability of mice. The number of synapses in the hippocampal neurons was detected by Golgi staining. Nissl staining was used to observe the changes of Nissl bodies in CA1 and CA3 regions of the hippocampus. Western blotting was used to detect the expression of Aβ, SIRT1, BDNF, and p-CREB/CREB in the hippocampus and cortex. Compared with the model group, sesamol decreased the latency period of APP/PS1 mice (P < 0.05) and increased the total number of neuronal dendritic spines in the hippocampal CA3 region, as well as increased the number of Nissl bodies (P < 0.05). Western blotting results showed that sesamol significantly reduced Aβ protein expression in the hippocampus and cortex, increased SIRT1 expression in the cortex, and increased BDNF expression in the hippocampus (P < 0.05). Sesamol improved the learning and memory abilities of APP/PS1 mice probably through increasing the density of neuronal dendritic spines and upregulating the levels of SIRT1 and BDNF.

  • Alzheimer's Disease International (2018). World Alzheimer report 2018 (Online), Available at: https://www.alzint.org/u/WorldAlzheimerReport2018.pdf (Accessed 9 September, 2020).

    • Search Google Scholar
    • Export Citation
  • Aso, E., Lomoio, S., Lopez-Gonzalez, I., Joda, L., Carmona, M., Fernandez-Yague, N., Moreno, J., Juves, S., Pujol, A., Pamplona, R., Portero-Otin, M., Martin, V., Diaz, M., and Ferrer, I. (2012). Amyloid generation and dysfunctional immunoproteasome activation with disease progression in animal model of familial Alzheimer's disease. Brain Pathology ,22(5): 636653.

    • Search Google Scholar
    • Export Citation
  • Belgacem, Y.H. and Borodinsky, L.N. (2017). CREB at the crossroads of activity-dependent regulation of nervous system development and function. Advances in Experimental Medicine and Biology ,1015: 1939.

    • Search Google Scholar
    • Export Citation
  • Bromley-Brits, K., Deng, Y., and Song, W. (2011). Morris water maze test for learning and memory deficits in Alzheimer's disease model mice. Journal of Visualized Experiments ,53: 2920.

    • Search Google Scholar
    • Export Citation
  • Cui, Z., Zhao, X., Amevor, F.K., Du, X., Wang, Y., Li, D., Shu, G., Tian, Y., and Zhao, X. (2022). Therapeutic application of quercetin in aging-related diseases: SIRT1 as a potential mechanism. Frontiers in Immunology ,13: 943321.

    • Search Google Scholar
    • Export Citation
  • El Hayek, L., Khalifeh, M., Zibara, V., Abi Assaad, R., Emmanuel, N., Karnib, N., El-Ghandour, R., Nasrallah, P., Bilen, M., Ibrahim, P., Younes, J., Abou Haidar, E., Barmo, N., Jabre, V., Stephan, J.S., and Sleiman, S.F. (2019). Lactate mediates the effects of exercise on learning and memory through SIRT1-dependent activation of hippocampal brain-derived neurotrophic factor (BDNF). The Journal of Neuroscience : the Official Journal of the Society for Neuroscience ,39(13): 23692382.

    • Search Google Scholar
    • Export Citation
  • Esvald, E.E., Tuvikene, J., Sirp, A., Patil, S., Bramham, C.R., and Timmusk, T. (2020). CREB family transcription factors are major mediators of BDNF transcriptional autoregulation in cortical neuronsThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience ,40(7): 14051426.

    • Search Google Scholar
    • Export Citation
  • Gong, Y., Chen, J., Jin, Y., Wang, C., Zheng, M., and He, L. (2020). GW9508 ameliorates cognitive impairment via the cAMP-CREB and JNK pathways in APPswe/PS1dE9 mouse model of Alzheimer's disease. Neuropharmacology ,164: 107899.

    • Search Google Scholar
    • Export Citation
  • Khan, M.Z., Zhuang, X., and He, L. (2016). GPR40 receptor activation leads to CREB phosphorylation and improves cognitive performance in an Alzheimer's disease mouse model. Neurobiology of Learning and Memory ,131: 4655.

    • Search Google Scholar
    • Export Citation
  • Koutsodendris, N., Nelson, M.R., Rao, A., and Huang, Y. (2022). Apolipoprotein E and Alzheimer's disease: findings, hypotheses, and potential mechanisms. Annual Review of Pathology: Mechanisms of Disease, 17: 7399.

    • Search Google Scholar
    • Export Citation
  • Kuhad, A. and Chopra, K. (2008). Effect of sesamol on diabetes-associated cognitive decline in rats. Experimental Brain Research ,185(3): 411420.

    • Search Google Scholar
    • Export Citation
  • Liu, Q., Xie, T., Xi, Y., Li, L., Mo, F., Liu, X., Liu, Z., Gao, J.M., and Yuan, T. (2021). Sesamol attenuates amyloid peptide accumulation and cognitive deficits in APP/PS1 mice: the mediating role of the gut-brain axis. Journal of Agricultural and Food Chemistry ,69(43): 1271712729.

    • Search Google Scholar
    • Export Citation
  • Liu, Z., Chen, Y., Qiao, Q., Sun, Y., Liu, Q., Ren, B., and Liu, X. (2017a). Sesamol supplementation prevents systemic inflammation-induced memory impairment and amyloidogenesis via inhibition of nuclear factor kappaB. Molecular Nutrition & Food Research ,61(5): 1600734.

    • Search Google Scholar
    • Export Citation
  • Liu, Z., Sun, Y., Qiao, Q., Zhao, T., Zhang, W., Ren, B., Liu, Q., and Liu, X. (2017b). Sesamol ameliorates high-fat and high-fructose induced cognitive defects via improving insulin signaling disruption in the central nervous system. Food & Function ,8(2): 710719.

    • Search Google Scholar
    • Export Citation
  • Majdalawieh, A.F. and Mansour, Z.R. (2019). Sesamol, a major lignan in sesame seeds (Sesamum indicum): anti-cancer properties and mechanisms of action. European Journal of Pharmacology ,855: 7589.

    • Search Google Scholar
    • Export Citation
  • Papagno, C. and Trojano, L. (2018). Cognitive and behavioral disorders in Parkinson's disease: an update. I: cognitive impairments. Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology ,39(2): 215223.

    • Search Google Scholar
    • Export Citation
  • Ren, B., Yuan, T., Diao, Z., Zhang, C., Liu, Z., and Liu, X. (2018). Protective effects of sesamol on systemic oxidative stress-induced cognitive impairments via regulation of Nrf2/Keap1 pathway. Food & Function ,9(11): 59125924.

    • Search Google Scholar
    • Export Citation
  • Ren, B., Yuan, T., Zhang, X., Wang, L., Pan, J., Liu, Y., Zhao, B., Zhao, W., Liu, Z., and Liu, X. (2020). Protective effects of sesamol on systemic inflammation and cognitive impairment in aging mice. Journal of Agricultural and Food Chemistry ,68(10): 30993111.

    • Search Google Scholar
    • Export Citation
  • Satoh, A., Imai, S.I., and Guarente, L. (2017). The brain, sirtuins, and ageing. Nature Reviews. Neuroscience ,18(6): 362374.

  • Wang, C.Y., Wang, Z.Y., Xie, J.W., Wang, T., Wang, X., Xu, Y., and Cai, J.H. (2016). Dl-3-n-butylphthalide-induced upregulation of antioxidant defense is involved in the enhancement of cross talk between CREB and Nrf2 in an Alzheimer's disease mouse model. Neurobiology of Aging ,38: 3236.

    • Search Google Scholar
    • Export Citation
  • Wang, X.L., Deng, Y.X., Gao, Y.M., Dong, Y.T., Wang, F., Guan, Z.Z., Hong, W., and Qi, X.L. (2020). Activation of α7 nAChR by PNU-282987 improves synaptic and cognitive functions through restoring the expression of synaptic-associated proteins and the CaM-CaMKII-CREB signaling pathway. Aging, 12(1): 543570.

    • Search Google Scholar
    • Export Citation
  • Wu, X.L., Liou, C.J., Li, Z.Y., Lai, X.Y., Fang, L.W., and Huang, W.C. (2015). Sesamol suppresses the inflammatory response by inhibiting NF-kappaB/MAPK activation and upregulating AMP kinase signaling in RAW 264.7 macrophages. Inflammation Research ,64(8): 577588.

    • Search Google Scholar
    • Export Citation
  • Yu, J.T., Xu, W., Tan, C.C., Andrieu, S., Suckling, J., Evangelou, E., Pan, A., Zhang, C., Jia, J., Feng, L., KuaE.H., Wang, Y.J., Wang, H.F., Tan, M.S., Li, J.Q., Hou, X.H., Wan, Y., Tan, L., Mok, V., Tan, L., Dong, Q., Touchon, J., Gauthier, S., Aisen, P.S., and Vellas, B. (2020). Evidence-based prevention of Alzheimer's disease: systematic review and meta-analysis of 243 observational prospective studies and 153 randomised controlled trials. Journal of Neurology, Neurosurgery, and Psychiatry ,91(11): 12011209.

    • Search Google Scholar
    • Export Citation
  • Zhang, P., Wang, Y., Wang, H., and Cao, J. (2021). Sesamol alleviates chronic intermittent hypoxia-induced cognitive deficits via inhibiting oxidative stress and inflammation in rats. Neuroreport ,32(2): 105111.

    • Search Google Scholar
    • Export Citation
  • Zhao, S., Zhang, L., Yang, C., Li, Z., and Rong, S. (2019). Procyanidins and Alzheimer's disease. Molecular Neurobiology ,56(8): 55565567.

    • Search Google Scholar
    • Export Citation
  • Collapse
  • Expand

 

The author instruction is available in PDF.
Please, download the file from HERE.

Senior editors

Editor(s)-in-Chief: András Salgó

Co-ordinating Editor(s) Marianna Tóth-Markus

Co-editor(s): A. Halász

       Editorial Board

  • L. Abrankó (Szent István University, Gödöllő, Hungary)
  • D. Bánáti (University of Szeged, Szeged, Hungary)
  • J. Baranyi (Institute of Food Research, Norwich, UK)
  • I. Bata-Vidács (Agro-Environmental Research Institute, National Agricultural Research and Innovation Centre, Budapest, Hungary)
  • F. Békés (FBFD PTY LTD, Sydney, NSW Australia)
  • Gy. Biró (National Institute for Food and Nutrition Science, Budapest, Hungary)
  • A. Blázovics (Semmelweis University, Budapest, Hungary)
  • F. Capozzi (University of Bologna, Bologna, Italy)
  • M. Carcea (Research Centre for Food and Nutrition, Council for Agricultural Research and Economics Rome, Italy)
  • Zs. Cserhalmi (Food Science Research Institute, National Agricultural Research and Innovation Centre, Budapest, Hungary)
  • M. Dalla Rosa (University of Bologna, Bologna, Italy)
  • I. Dalmadi (Szent István University, Budapest, Hungary)
  • K. Demnerova (University of Chemistry and Technology, Prague, Czech Republic)
  • M. Dobozi King (Texas A&M University, Texas, USA)
  • Muying Du (Southwest University in Chongqing, Chongqing, China)
  • S. N. El (Ege University, Izmir, Turkey)
  • S. B. Engelsen (University of Copenhagen, Copenhagen, Denmark)
  • E. Gelencsér (Food Science Research Institute, National Agricultural Research and Innovation Centre, Budapest, Hungary)
  • V. M. Gómez-López (Universidad Católica San Antonio de Murcia, Murcia, Spain)
  • J. Hardi (University of Osijek, Osijek, Croatia)
  • H. He (Henan Institute of Science and Technology, Xinxiang, China)
  • K. Héberger (Research Centre for Natural Sciences, ELKH, Budapest, Hungary)
  • N. Ilić (University of Novi Sad, Novi Sad, Serbia)
  • D. Knorr (Technische Universität Berlin, Berlin, Germany)
  • H. Köksel (Hacettepe University, Ankara, Turkey)
  • K. Liburdi (Tuscia University, Viterbo, Italy)
  • M. Lindhauer (Max Rubner Institute, Detmold, Germany)
  • M.-T. Liong (Universiti Sains Malaysia, Penang, Malaysia)
  • M. Manley (Stellenbosch University, Stellenbosch, South Africa)
  • M. Mézes (Szent István University, Gödöllő, Hungary)
  • Á. Németh (Budapest University of Technology and Economics, Budapest, Hungary)
  • P. Ng (Michigan State University,  Michigan, USA)
  • Q. D. Nguyen (Szent István University, Budapest, Hungary)
  • L. Nyström (ETH Zürich, Switzerland)
  • L. Perez (University of Cordoba, Cordoba, Spain)
  • V. Piironen (University of Helsinki, Finland)
  • A. Pino (University of Catania, Catania, Italy)
  • M. Rychtera (University of Chemistry and Technology, Prague, Czech Republic)
  • K. Scherf (Technical University, Munich, Germany)
  • R. Schönlechner (University of Natural Resources and Life Sciences, Vienna, Austria)
  • A. Sharma (Department of Atomic Energy, Delhi, India)
  • A. Szarka (Budapest University of Technology and Economics, Budapest, Hungary)
  • M. Szeitzné Szabó (National Food Chain Safety Office, Budapest, Hungary)
  • S. Tömösközi (Budapest University of Technology and Economics, Budapest, Hungary)
  • L. Varga (University of West Hungary, Mosonmagyaróvár, Hungary)
  • R. Venskutonis (Kaunas University of Technology, Kaunas, Lithuania)
  • B. Wróblewska (Institute of Animal Reproduction and Food Research, Polish Academy of Sciences Olsztyn, Poland)

 

Acta Alimentaria
E-mail: Acta.Alimentaria@uni-mate.hu

Indexing and Abstracting Services:

  • Biological Abstracts
  • BIOSIS Previews
  • CAB Abstracts
  • CABELLS Journalytics
  • Chemical Abstracts
  • Current Contents: Agriculture, Biology and Environmental Sciences
  • Elsevier Science Navigator
  • Essential Science Indicators
  • Global Health
  • Index Veterinarius
  • Science Citation Index
  • Science Citation Index Expanded (SciSearch)
  • SCOPUS
  • The ISI Alerting Services

2022  
Web of Science  
Total Cites
WoS
892
Journal Impact Factor 1.1
Rank by Impact Factor

Food Science and Technology (Q4)
Nutrition and Dietetics (Q4)

Impact Factor
without
Journal Self Cites
1.1
5 Year
Impact Factor
1
Journal Citation Indicator 0.22
Rank by Journal Citation Indicator

Food Science and Technology (Q4)
Nutrition and Dietetics (Q4)

Scimago  
Scimago
H-index
32
Scimago
Journal Rank
0.231
Scimago Quartile Score

Food Science (Q3)

Scopus  
Scopus
Cite Score
1.7
Scopus
CIte Score Rank
Food Science 225/359 (37th PCTL)
Scopus
SNIP
0.408

2021  
Web of Science  
Total Cites
WoS
856
Journal Impact Factor 1,000
Rank by Impact Factor Food Science & Technology 130/143
Nutrition & Dietetics 81/90
Impact Factor
without
Journal Self Cites
0,941
5 Year
Impact Factor
1,039
Journal Citation Indicator 0,19
Rank by Journal Citation Indicator Food Science & Technology 143/164
Nutrition & Dietetics 92/109
Scimago  
Scimago
H-index
30
Scimago
Journal Rank
0,235
Scimago Quartile Score

Food Science (Q3)

Scopus  
Scopus
Cite Score
1,4
Scopus
CIte Score Rank
Food Sciences 222/338 (Q3)
Scopus
SNIP
0,387

 

2020
 
Total Cites
768
WoS
Journal
Impact Factor
0,650
Rank by
Nutrition & Dietetics 79/89 (Q4)
Impact Factor
Food Science & Technology 130/144 (Q4)
Impact Factor
0,575
without
Journal Self Cites
5 Year
0,899
Impact Factor
Journal
0,17
Citation Indicator
 
Rank by Journal
Nutrition & Dietetics 88/103 (Q4)
Citation Indicator
Food Science & Technology 142/160 (Q4)
Citable
59
Items
Total
58
Articles
Total
1
Reviews
Scimago
28
H-index
Scimago
0,237
Journal Rank
Scimago
Food Science Q3
Quartile Score
 
Scopus
248/238=1,0
Scite Score
 
Scopus
Food Science 216/310 (Q3)
Scite Score Rank
 
Scopus
0,349
SNIP
 
Days from
100
submission
 
to acceptance
 
Days from
143
acceptance
 
to publication
 
Acceptance
16%
Rate
2019  
Total Cites
WoS
522
Impact Factor 0,458
Impact Factor
without
Journal Self Cites
0,433
5 Year
Impact Factor
0,503
Immediacy
Index
0,100
Citable
Items
60
Total
Articles
59
Total
Reviews
1
Cited
Half-Life
7,8
Citing
Half-Life
9,8
Eigenfactor
Score
0,00034
Article Influence
Score
0,077
% Articles
in
Citable Items
98,33
Normalized
Eigenfactor
0,04267
Average
IF
Percentile
7,429
Scimago
H-index
27
Scimago
Journal Rank
0,212
Scopus
Scite Score
220/247=0,9
Scopus
Scite Score Rank
Food Science 215/299 (Q3)
Scopus
SNIP
0,275
Acceptance
Rate
15%

 

Acta Alimentaria
Publication Model Hybrid
Submission Fee none
Article Processing Charge 1100 EUR/article
Printed Color Illustrations 40 EUR (or 10 000 HUF) + VAT / piece
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Editorial Board / Advisory Board members: 50%
Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%
Subscription fee 2023 Online subsscription: 776 EUR / 944 USD
Print + online subscription: 896 EUR / 1090 USD
Subscription Information Online subscribers are entitled access to all back issues published by Akadémiai Kiadó for each title for the duration of the subscription, as well as Online First content for the subscribed content.
Purchase per Title Individual articles are sold on the displayed price.

Acta Alimentaria
Language English
Size B5
Year of
Foundation
1972
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia    
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0139-3006 (Print)
ISSN 1588-2535 (Online)

 

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Jun 2023 35 4 8
Jul 2023 25 1 1
Aug 2023 28 8 13
Sep 2023 32 30 60
Oct 2023 19 34 38
Nov 2023 26 18 2
Dec 2023 0 0 0