Comparative analysis of the influence of a high-fat/high-carbohydrate diet on the level of anxiety and neuromotor and cognitive functions in Wistar and DAT-KO rats
Open accessAbstract
We compared anxiety, neuromotor, and cognitive functions in mutant rats with different allelic variants of dopamine transporter DAT knockout receiving balanced or excess in fat and fructose diet. The experiments were performed in DAT-/- homozygotes, DAT+/- heterozygotes, and DAT+/+ wild type rats. The genotype of DAT-KO rats was confirmed by restriction analysis of DAT gene compared to behavioral responses in the open field test (OF). Animals in the first groups of each strain were fed a balanced AIN93M diet; and those in the second groups with a high-fat/high-fructose diet. Neuromotor function was studied as grip strength, and behavioral responses were assessed in the elevated plus maze and conditioned passive avoidance response tests. The mass of the internal organs and white and brown fat, as well as selected lipid and nitrogen metabolism parameters in blood plasma were determined at the end of the experiment. DAT-/- had the highest specific grip strength, and showed an increase in initial exploratory activity in comparison with DAT+/- and DAT +/+. The exploratory activity was significantly reduced in the second test compared to the first one in DAT-/- and DAT+/- of first but not second group. Anxiety decreased with age in the second groups of DAT+/- and DAT+/+ (but not in DAT-/-) and was higher in DAT+/+ than in DAT+/- and DAT-/-. Excess fat and fructose resulted in the deterioration of short-term memory in DAT+/+. Lipidomic indices of blood plasma were less responsive to diet in DAT-/- and DAT-/+ in comparison to DAT+/+. The increased AsAT/AlAT activity ratio in DAT-/- compared with those in DAT+/+ suggests the activation of catabolism activity in the mutants. The consumption of excess fat and fructose significantly modified the effects produced by DAT gene allelic variants presumably due to the influence on the processes of dopamine metabolism.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A decrease in the latency index during the formation of a memory trace in the CRPA test characterizes an increased anxiety-like function in animals.
“A decrease in the latency index during the formation of a memory trace in the CRPA test characterized an increased anxiety-like function in these animals [42].”
From Adaptogenic Properties of a Phytoecdysteroid-Rich Extract from the Leaves of Spinacia oleracea L. (2021) · cites this paper as [42]
Biochemical indices were determined in blood plasma using an automatic biochemical analyzer according to standard methods [42].
“The protein metabolism (total protein, albumin, globulins), lipid metabolism (total cholesterol, HDL cholesterol, LDL cholesterol, triglycerides), mineral metabolism (phosphorus), and liver functional state (total bilirubin, AlAT, AsAT, AsAT/AlAT) were determined in blood plasma using an automatic biochemical analyzer “Konelab 20i” (Thermo Fisher Scientific, Waltham, MA, USA) according to standard”
From Adaptogenic Properties of a Phytoecdysteroid-Rich Extract from the Leaves of Spinacia oleracea L. (2021) · cites this paper as [42]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Dopamine D2 receptors in addiction-like reward dysfunction and compulsive eating in obese rats
Johnson, P. M., & Kenny, P. J. (2010) · Nature Neuroscience · doi:10.1038/nn.2519 · Cited by 1,495 · see citing works
The de ritis ratio: the test of time.
Botros, M., & Sikaris, K. A. (2013) · Europe PMC (PubMed Central) · Cited by 418 · see citing works
Deficits of mesolimbic dopamine neurotransmission in rat dietary obesity
Geiger, B. M., Haburcak, M., Avena, N. M., Moyer, M. C., Hoebel, B. G., & Pothos, E. N. (2009) · Neuroscience · doi:10.1016/j.neuroscience.2009.02.007 · Cited by 403 · see citing works
Tissue–Specific Insulin Signaling, Metabolic Syndrome, and Cardiovascular Disease
Rask‐Madsen, C., & Kahn, C. R. (2012) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.111.241919 · Cited by 376 · see citing works
Progress and challenges in anti-obesity pharmacotherapy
Bessesen, D. H., & Van Gaal, L. F. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30236-x · Cited by 347 · see citing works
Leo, D., Sukhanov, I., Zoratto, F., Illiano, P., Caffino, L., Sanna, F., Messa, G., Emanuele, M., Esposito, A., Dorofeikova, M., et al. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1931-17.2018 · Cited by 206 · see citing works
Self-citationVieira‐Potter, V. J., Valentine, R. J., Wilund, K. R., Antao, N. N., Baynard, T., & Woods, J. A. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00054.2009 · Cited by 194 · see citing works
Alsiö, J., Olszewski, P. K., Norbäck, A. H., Gunnarsson, Z. E., Levine, A. S., Pickering, C., & Schiöth, H. B. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.09.046 · Cited by 189 · see citing works
Epigenetic dysregulation of the dopamine system in diet‐induced obesity
Vucetic, Z., Carlin, J. L., Totoki, K., & Reyes, T. M. (2012) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2012.07649.x · Cited by 155 · see citing works
Cinque, S., Zoratto, F., Poleggi, A., Leo, D., Cerniglia, L., Cimino, S., Tambelli, R., Alleva, E., Gainetdinov, R. R., Giovanni Laviola, A., et al. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00043 · Cited by 107 · see citing works
Self-citationDopamine transporter mutant animals: a translational perspective
Efimova, E. V., Gainetdinov, R. R., Budygin, E. A., & Sotnikova, T. D. (2016) · Journal of Neurogenetics · doi:10.3109/01677063.2016.1144751 · Cited by 83 · see citing works
Self-citation5‐Hydroxytryptamine Medications for the Treatment of Obesity
Burke, L. K., & Heisler, L. K. (2015) · Journal of Neuroendocrinology · doi:10.1111/jne.12287 · Cited by 80 · see citing works
Lee, A. K., Mojtahed-Jaberi, M., Kyriakou, T., Aldecoa-Otalora, E., Arno, M. J., Marshall, N. J., Brain, S. D., & O’Dell, S. D. (2009) · Nutrition · doi:10.1016/j.nut.2009.05.007 · Cited by 78 · see citing works
Maternal High-fat Diet Programs Offspring Emotional Behavior in Adulthood
Winther, G., Elfving, B., Müller, H. K., Lund, S. A., & Wegener, G. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.07.014 · Cited by 75 · see citing works
Eckel, R. H., Goldberg, I. J., Steiner, L. L., Yost, T. J., & Paterniti, J. R. (1988) · Diabetes · doi:10.2337/diab.37.5.610 · Cited by 55 · see citing works
Evolutionary considerations on social status, eating behavior, and obesity
Caldwell, A. E., & Sayer, R. D. (2018) · Appetite · doi:10.1016/j.appet.2018.07.028 · Cited by 54 · see citing works
The effects of hyperprolactinemia and its control on metabolic diseases
Auriemma, R. S., Alcubierre, D. D., Pirchio, R., Pivonello, R., & Colao, A. (2018) · Expert Review of Endocrinology & Metabolism · doi:10.1080/17446651.2018.1434412 · Cited by 51 · see citing works
Meyers, A. M., Mourra, D., & Beeler, J. A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0190206 · Cited by 48 · see citing works
Martínez-Huenchullán, S., Maharjan, B. R., Williams, P. F., Tam, C. S., McLennan, S. V., & Twigg, S. M. (2018) · Physiological Reports · doi:10.14814/phy2.13599 · Cited by 48 · see citing works
Whole-Body Vibration Mimics the Metabolic Effects of Exercise in Male Leptin Receptor–Deficient Mice
McGee‐Lawrence, M. E., Wenger, K., Misra, S., Davis, C. L., Pollock, N. K., Elsalanty, M. E., Ding, K., Isales, C. M., Hamrick, M. W., Wosiski‐Kuhn, M., et al. (2017) · Endocrinology · doi:10.1210/en.2016-1250 · Cited by 45 · see citing works
Pósa, A., Szabó, R., Kupai, K., Csonka, A., Szalai, Z., Veszelka, M., Török, S., Daruka, L., & Varga, C. (2015) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2015/787063 · Cited by 42 · see citing works
Serum lipoprotein lipase mass: Clinical significance of its measurement
Kobayashi, J., Nohara, A., Kawashiri, M.-A., Inazu, A., Koizumi, J., Nakajima, K., & Mabuchi, H. (2007) · Clinica Chimica Acta · doi:10.1016/j.cca.2006.12.003 · Cited by 35 · see citing works
Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake
Ramos‐Lopez, O., Riezu‐Boj, J. I., Milagro, F. I., Martinez, J. A., & MENA Project (2018) · Brain and Behavior · doi:10.1002/brb3.1017 · Cited by 33 · see citing works
Adinolfi, A., Carbone, C., Leo, D., Gainetdinov, R. R., Giovanni Laviola, A., & Adriani, W. (2018) · Genes Brain & Behavior · doi:10.1111/gbb.12463 · Cited by 32 · see citing works
Self-citationRobertson, S. H., & Rasmussen, E. B. (2017) · Journal of Psychopharmacology · doi:10.1177/0269881117735750 · Cited by 30 · see citing works
Bieliński, M. K., Jaracz, M., Lesiewska, N., Tomaszewska, M., Sikora, M., Junik, R., Kamińska, A., Tretyn, A., & Borkowska, A. (2017) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s138565 · Cited by 29 · see citing works
Is within-normal range liver enzymes associated with metabolic syndrome in adults?
Nikniaz, L., Nikniaz, Z., Tabrizi, J. S., Sadeghi‐Bazargani, H., & Farahbakhsh, M. (2017) · Clinics and Research in Hepatology and Gastroenterology · doi:10.1016/j.clinre.2017.06.006 · Cited by 28 · see citing works
MacKay, J. C., Kent, P., James, J. S., Cayer, C., & Merali, Z. (2017) · Physiology & Behavior · doi:10.1016/j.physbeh.2017.04.002 · Cited by 27 · see citing works
Fujiwara, M., Iwata, M., Inoue, T., Aizawa, Y., Yoshito, N., Hayashi, K., & Suzuki, S. (2017) · FEBS Open Bio · doi:10.1002/2211-5463.12315 · Cited by 27 · see citing works
Sabater, D., Agnelli, S., Arriarán, S., et al. (2014) · BioMed Research International · doi:10.1155/2014/959420 · Cited by 24 · see citing works
Catabolism of amino acids in livers from cafeteria-fed rats
Ghizoni, C. V. D. C., Gasparin, F. R. S., Júnior, A. S. M., et al. (2012) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-012-1499-0 · Cited by 18 · see citing works
MRI of atherosclerosis and fatty liver disease in cholesterol fed rabbits
Taylor, E. N., Huang, N., Bodde, J., Ellison, A., Killiany, R., Bachschmid, M. M., & Hamilton, J. A. (2018) · Journal of Translational Medicine · doi:10.1186/s12967-018-1587-3 · Cited by 17 · see citing works
Rospond, B., Sadakierska−Chudy, A., Kazek, G., Krośniak, M., Bystrowska, B., & Filip, M. (2018) · Pharmacological Reports · doi:10.1016/j.pharep.2018.09.005 · Cited by 15 · see citing works
Krüger, C., Kumar, K. G., Mynatt, R. L., Vólaufová, J., & Richards, B. K. S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041709 · Cited by 11 · see citing works
Coradinia, J. G., Kakihata, C. M. M., Kunz, R. I., et al. (2014) · Revista Brasileira de Reumatologia · doi:10.1016/j.rbr.2014.08.003 · Cited by 11 · see citing works
Yang, Q., Wu, K., Zhuang, Y., Wu, H., Lü, L., Li, W., Li, Z., & Sui, X. (2018) · Endocrine Journal · doi:10.1507/endocrj.ej18-0095 · Cited by 9 · see citing works
Pharmaceutical interventions for weight-loss maintenance: no effect from cabergoline
Manning, P. J., Grattan, D. R., Merriman, T. R., Manning, T., Williams, S., & Sutherland, W. H. F. (2018) · International Journal of Obesity · doi:10.1038/s41366-018-0165-3 · Cited by 7 · see citing works
Nutrition and the Strength Athlete
Wilmore, J. H. (2001) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/74.6.869a · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Sidorova, Y. S., Shipelin, V. A., Petrov, N. A., Zorin, S. N., & Mazo, V. K. (2022) · Molecules · doi:10.3390/molecules27249003 · Cited by 11 · see citing works
Adaptogenic Properties of a Phytoecdysteroid-Rich Extract from the Leaves of Spinacia oleracea L.
Sidorova, Y. S., Shipelin, V. A., Petrov, N. A., Zorin, S. N., & Mazo, V. K. (2021) · Plants · doi:10.3390/plants10122555 · Cited by 11 · see citing works
Self-citation
- Authors
- Apryatin, S. A., Shipelin, V. A., Trusov, N. V., Mzhelskaya, K. V., Evstratova, V. S., Kirbaeva, N. V., Soto, J. S., Fesenko, Z. S., Gainetdinov, R. R., & Gmoshinski, I. V.
- Affiliations
- Federal Research Centre of Nutrition and Biotechnology (RU)
- Federal Research Centre of Nutrition and Biotechnology; Moscow Russia
- St Petersburg University (RU)
- ORCID
- Venue
- Physiological Reports
- Publisher
- Wiley
- Published
- 2019-02
- Volume
- 7
- Issue
- 4
- Pages
- e13987
- ISSN
- 2051-817X (ISSN-L)
- PMC
- PMC6381039
- OpenAlex
- W2918013097
- Cited by
- 28
- References
- 38
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 1 · 2023: 6 · 2022: 2 · 2021: 6 · 2020: 3 · 2019: 2
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Physiological Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Russian Science Foundation (17-16-01043)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Keywords
- dopamine transporter, high-fat diet, high-fructose diet, anxiety, neuromotor function, grip strength, cognitive function, short-term memory, lipidomics, plasma lipids, dopamine metabolism, Wistar rats
- MeSH terms
- Diet, Carbohydrate Loading, Adipose Tissue, Animals, Anxiety, Cognition, Lipids, Male, Rats, Wistar, Hand Strength, Maze Learning, Dopamine Plasma Membrane Transport Proteins, Rats, Diet, High-Fat
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review