Extracellular action potentials of ventricular cardiomyocytes in the heart isolated from rats kept on a high-fat/high-sucrose diet

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

Rats kept on a high-fat/high-sucrose diet (HFSD) for 10-12 weeks demonstrated the development of hyperglycemia and signs of visceral obesity. Compared to the control, extracellular action potentials (eAP) of subepicardial myocytes of the left ventricle (LV) of HFSD rats characterized by a significantly increased fraction of signals with a pronounced afterhyperpolarization (AHP) phase and an accelerated decline. Local delivery of apamin (a blocker of low-conductivity Ca²⁺-dependent K+ channels (IKCa, SK channels) to the eAP registration cite at a concentration of 500 nM in the solution inside the pipette was accompanied by suppression of the AHP phase and prolongation of the eAP decline. The obtained data suggest that HFSD leads to an increase in the expression and/or activity of SK channels and, as a result, to the development of AHP and shortening of eAP in epicardial cardiomyocytes of the LV of the rat heart.

Full Text

Restricted Access

About the authors

I. V. Kubasov

Sechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences

Email: botanik2407@gmail.com
Russian Federation, Saint Petersburg

A. V. Stepanov

Sechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences

Author for correspondence.
Email: botanik2407@gmail.com
Russian Federation, Saint Petersburg

Yu. A. Filippov

Sechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences

Email: botanik2407@gmail.com
Russian Federation, Saint Petersburg

O. Yu. Karnishkina

Sechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences

Email: botanik2407@gmail.com
Russian Federation, Saint Petersburg

A. A. Panov

Sechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences

Email: botanik2407@gmail.com
Russian Federation, Saint Petersburg

M. G. Dobretsov

Sechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences

Email: botanik2407@gmail.com
Russian Federation, Saint Petersburg

References

  1. Kubasov IV, Chistyakova OV, Sukhov IB, Panov AA, Dobretsov MG (2020) Functional changes in the T-system of cardiomyocytes of the isolated rat heart during development of streptozotocin-induced diabetes. Russ J Physiol 106:1266–1277. https://doi.org/10.31857/s0869813920100052
  2. Kubasov IV, Stepanov AV, Panov AA, Chistyakova OV, Sukhov IB, Dobretsov MG (2021) Role of Potassium Currents in the Formation of After-Hyperpolarization Phase of Extracellular Action Potentials Recorded from the Control and Diabetic Rat Heart Ventricular Myocytes. J Evol Biochem Physiol 57:1511–1521. https://doi.org/10.1134/s0022093021060272
  3. Dedov II, Shestakova MV, Vikulova OK, Zheleznyakova AV, Isakov MA, Sazonova DV, Mokrysheva NG (2023) Diabetes Mellitus in the Russian Federation: Dynamics of Epidemiological Indicators According To the Federal Register of Diabetes Mellitus for the Period 2010–2022. Diabetes Mellit 26:104–123. https://doi.org/10.14341/DM13035
  4. American Diabetes Association (2023) Standards of Care in Diabetes. Diabetes Care 46:S1–S291
  5. Saklayen MG (2018) The Global Epidemic of the Metabolic Syndrome. Curr Hypertens Rep 20:1–8. https://doi.org/10.1007/s11906-018-0812-z
  6. Dobrowolski P, Prejbisz A, Kuryłowicz A, Baska A, Burchardt P, Chlebus K, Dzida G, Jankowski P, Jaroszewicz J, Jaworski P, Kamiński K, Kapłon-Cieślicka A, Klocek M, Kukla M, Mamcarz A, Mastalerz-Migas A, Narkiewicz K, Ostrowska L, Śliż D, Tarnowski W, Wolf J, Wyleżoł M, Zdrojewski T, Banach M, Januszewicz A, Bogdański P (2022) Metabolic syndrome – a new definition and management guidelines. Arch Med Sci 18:1133–1156. https://doi.org/10.5114/aoms/152921
  7. Rodríguez-Correa E, González-Pérez I, Clavel-Pérez PI, Contreras-Vargas Y, Carvajal K (2020) Biochemical and nutritional overview of diet-induced metabolic syndrome models in rats: what is the best choice? Nutr Diabetes 10:. https://doi.org/10.1038/s41387-020-0127-4
  8. Peris-Sampedro F, Mounib M, Schéle E, Edvardsson CE, Stoltenborg I, Adan RAH, Dickson SL (2019) Impact of Free-Choice Diets High in Fat and Different Sugars on Metabolic Outcome and Anxiety-Like Behavior in Rats. Obesity 27:409–419. https://doi.org/10.1002/oby.22381
  9. Ahmed H, Hannan JL, Apolzan JW, Osikoya O, Cushen SC, Romero SA, Goulopoulou S (2019) A free-choice high-fat, high-sucrose diet induces hyperphagia, obesity, and cardiovascular dysfunction in female cycling and pregnant rats. Am J Physiol Regul Integr Comp Physiol 316:R472–R485. https://doi.org/10.1152/ajpregu.00391.2018
  10. La Fleur SE, Luijendijk MCM, Van Rozen AJ, Kalsbeek A, Adan RAH (2011) A free-choice high-fat high-sugar diet induces glucose intolerance and insulin unresponsiveness to a glucose load not explained by obesity. Int J Obes 35:595–604. https://doi.org/10.1038/ijo.2010.164
  11. Kubasov IV, Stepanov A, Bobkov D, Radwanski PB, Terpilowski MA, Dobretsov M, Gyorke S (2018) Sub-cellular electrical heterogeneity revealed by loose patch recording reflects differential localization of sarcolemmal ion channels in intact rat hearts. Front Physiol 9:1–9. https://doi.org/10.3389/fphys.2018.00061
  12. Kuzmenkov AI, Peigneur S, Nasburg JA, Mineev KS, Nikolaev MV, Pinheiro-Junior EL, Arseniev AS, Wulff H, Tytgat J, Vassilevski AA (2022) Apamin structure and pharmacology revisited. Front Pharmacol 13:977440. https://doi.org/10.3389/fphar.2022.977440
  13. Seferović PM, Petrie MC, Filippatos GS, Anker SD, Rosano G, Bauersachs J, Paulus WJ, Komajda M, Cosentino F, de Boer RA, Farmakis D, Doehner W, Lambrinou E, Lopatin Y, Piepoli MF, Theodorakis MJ, Wiggers H, Lekakis J, Mebazaa A, Mamas MA, Tschöpe C, Hoes AW, Seferović JP, Logue J, McDonagh T, Riley JP, Milinković I, Polovina M, van Veldhuisen DJ, Lainscak M, Maggioni AP, Ruschitzka F, McMurray JJV (2018) Type 2 diabetes mellitus and heart failure: a position statement from the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail 20:853–872. https://doi.org/10.1002/ejhf.1170
  14. Fontes-Carvalho R, Ladeiras-Lopes R, Bettencourt P, Leite-Moreira A, Azevedo A (2015) Diastolic dysfunction in the diabetic continuum: Association with insulin resistance, metabolic syndrome and type 2 diabetes. Cardiovasc Diabetol 14:1–9. https://doi.org/10.1186/s12933-014-0168-x
  15. Kubasov IV, Stepanov AV, Györke S (2017) Action potential heterogeneity as revealed by extracellular microelectrode recording from the surface of the isolated rat heart. J Evol Biochem Physiol 53:515–518. https://doi.org/10.1134/S0022093017060102
  16. Kubasov IV, Bobkov DE, Stepanov AV, Sukhov IB, Chistyakova OV, Dobretsov MG (2020) Evaluation of the t-system of rat cardiomyocytes during early stages of streptozotocin-induced diabetes. Российский Физиологический Журнал Им И М Сеченова 106:1098–1108. https://doi.org/10.31857/s0869813920090046
  17. Zhang X-D, Thai PN, Lieu DK, Chiamvimonvat N (2021) Cardiac small-conductance calcium-activated potassium channels in health and disease. Pflüg Arch - Eur J Physiol 473:477–489. https://doi.org/10.1007/s00424-021-02535-0
  18. Yi F, Ling TY, Lu T, Wang XL, Li J, Claycomb WC, Shen WK, Lee HC (2015) Down-regulation of the small conductance calcium-activated potassium channels in diabetic mouse atria. J Biol Chem 290:7016–7026. https://doi.org/10.1074/jbc.M114.607952
  19. Fu X, Pan Y, Cao Q, Li B, Wang S, Du H, Duan N, Li X (2018) Metformin restores electrophysiology of small conductance calcium-activated potassium channels in the atrium of GK diabetic rats. BMC Cardiovasc Disord 18:1–8. https://doi.org/10.1186/s12872-018-0805-5
  20. Liu CH, Hua N, Fu X, Pan YL, Li B, Li XD (2018) Metformin regulates atrial SK2 and SK3 expression through inhibiting the PKC/ERK signaling pathway in type 2 diabetic rats. BMC Cardiovasc Disord 18:1–9. https://doi.org/10.1186/s12872-018-0950-x
  21. Kanaporis G, Blatter LA (2023) Activation of small conductance Ca²⁺-activated K+ channels suppresses Ca²⁺ transient and action potential alternans in ventricular myocytes. J Physiol 601:51–67. https://doi.org/10.1113/JP283870
  22. Gui L, Bao Z, Jia Y, Qin X, Cheng ZJ, Zhu J, Chen QH (2013) Ventricular tachyarrhythmias in rats with acute myocardial infarction involves activation of small-conductance Ca²⁺-activated K+ channels. Am J Physiol - Heart Circ Physiol 304:118–130. https://doi.org/10.1152/ajpheart.00820.2011
  23. Chang P-C, Hsieh Y-C, Hsueh C-H, Weiss JN, Lin S-F, Chen P-S (2013) Apamin induces early afterdepolarizations and torsades de pointes ventricular arrhythmia from failing rabbit ventricles exhibiting secondary rises in intracellular calcium. Heart Rhythm 10:1516–1524. https://doi.org/10.1016/j.hrthm.2013.07.003
  24. Chang P-C, Chen P-S (2015) SK Channels and Ventricular Arrhythmias in Heart Failure. Trends Cardiovasc Med 25:508. https://doi.org/10.1016/j.tcm.2015.01.010
  25. Terentyev D, Rochira JA, Terentyeva R, Roder K, Koren G, Li W (2014) Sarcoplasmic reticulum Ca. https://doi.org/10.1152/ajpheart.00621.2013
  26. Coulombe A, Lefevre IA, Deroubaix E, Thuringer D, Coraboeuf E (1990) Effect of 2,3-butanedione 2-monoxime on slow inward and transient outward currents in rat ventricular myocytes. J Mol Cell Cardiol 22:921–932. https://doi.org/10.1016/0022-2828(90)90123-j
  27. Watanabe Y, Iwamoto T, Matsuoka I, Ohkubo S, Ono T, Watano T, Shigekawa M, Kimura J (2001) Inhibitory effect of 2,3-butanedione monoxime (BDM) on Na+/Ca²⁺ exchange current in guinea-pig cardiac ventricular myocytes. Br J Pharmacol 132:1317. https://doi.org/10.1038/sj.bjp.0703926
  28. Stepanov AV, Dobretsov MG, Filippov YuA, Kubasov IV (2024) Influence of Apamin on the Extracellularly Recorded Action Potentials Profiles of Subepicardial Cardiomyocytes of the Rat Heart in Myocardial Infarction. J Evol Biochem Physiol 60:1317–1327. https://doi.org/10.1134/S0022093024040057

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 4. Changes in the membrane potential of mitochondria in mussel hemocytes under the influence of adrenaline (1 μM and 10 μM) for 5 min (a) and 30 min (b). * – reliable relative to the control at p ≤ 0.05 (n = 10)Fig. 1. Representative examples of continuous recording of autorhythmic eAP1 (a) and examples of individual profiles of normalized eAP1 (b) and eAP2 (c) of cardiomyocytes from the hearts of control rats. The profiles of individual eAPs were normalized to the value of their first negative peak (P1). P2 is the label of the second negative peak of eAP2. Dashed lines show examples of signals accompanied by the AHP phase (afterhyperpolarization). Note that the VPD2 indicated by the dashed line, although it does not have a distinct second negative peak, is characterized by a pronounced kink at the decline of its single negative peak (arrow) and is therefore also classified as VPD2.

Download (154KB)
3. Fig. 2. Average characteristics of LV subepicardial eAP in the hearts of control (10 hearts, white columns) and HFSD (9 hearts, gray columns) rats. (a) – Proportion of eAP1 (eAP1) in relation to all recorded eAPs. (b) – Proportion of eAP1 without SG (eAP1AHP=0) in relation to all recorded eAP1s. (c) – Amplitude of SG of eAP1. (d) – T₉₀ of eAP1. (e) – P2/P1 ratio in eAP2 (eAP2). (f) – Proportion of eAP2 without SG (eAP2AHP=0) in relation to all recorded eAP2s. (g) – Amplitude of SG of eAP2. (h) – T₉₀ of eAP2. * – Student’s t-test, p < 0.05; # – Mann–Whitney U test, p < 0.05

Download (279KB)
4. Fig. 3. Relationships between the characteristics of the LV subepicardium vAP in individual hearts of control (white symbols, n = 10) and LVSD (black symbols, n = 9) rats. Each symbol represents the average of all vAP1 (n = 4 – 12) or vAP2 (n = 14 – 46) recordings of a given signal type performed in a given heart.

Download (109KB)
5. Fig. 4. Examples of changes in the profiles of normalized vPD1 and vPD2, without SG (a, b) and with pronounced SG (c, d) during continuous recording using a micropipette containing apamin. In each of the graphs, the interval between the shown vPD tracks is 5-10 min. The tracks of the signals recorded immediately after the first contact of the pipette with the myocyte and after 30 min of recording are shown by dashed lines.

Download (215KB)
6. Fig. 5. Suppression of the SG of vPD1 (a) and vPD2 (b) during a 30-minute recording with a micropipette with PTA depending on the initial amplitude of the SG of the recorded signal. In the figures, each symbol represents an individual recording from an LV cardiomyocyte of the hearts of control (white symbols; (a) – 3 rats, 9 measurements; (b) – 4 rats, 12 measurements) or HFSD (black symbols; (a) – 3 rats, 8 measurements; (b) – 4 rats, 9 measurements) rats. Solid lines are regression lines calculated for all (control and HFSD) data presented in the figure. The parameters of the regression lines are presented in the text.

Download (111KB)
7. Fig. 6. Parameters of vPD1 and vPD2 of VZSD rats at the beginning of recording and 30 minutes after the beginning of apamin application: (a) – T₉₀ vPD1; (b) – amplitude of SG vPD1; (c) – T₉₀ vPD2; (d) – amplitude of SG vPD2. (a, b) – 3 rats, 8 measurements; (c, d) – 4 rats, 9 measurements). * – paired Student's t-test, p < 0.05; # – paired Wilcoxon test, p < 0.05.

Download (223KB)

Copyright (c) 2024 Russian Academy of Sciences

Согласие на обработку персональных данных с помощью сервиса «Яндекс.Метрика»

1. Я (далее – «Пользователь» или «Субъект персональных данных»), осуществляя использование сайта https://journals.rcsi.science/ (далее – «Сайт»), подтверждая свою полную дееспособность даю согласие на обработку персональных данных с использованием средств автоматизации Оператору - федеральному государственному бюджетному учреждению «Российский центр научной информации» (РЦНИ), далее – «Оператор», расположенному по адресу: 119991, г. Москва, Ленинский просп., д.32А, со следующими условиями.

2. Категории обрабатываемых данных: файлы «cookies» (куки-файлы). Файлы «cookie» – это небольшой текстовый файл, который веб-сервер может хранить в браузере Пользователя. Данные файлы веб-сервер загружает на устройство Пользователя при посещении им Сайта. При каждом следующем посещении Пользователем Сайта «cookie» файлы отправляются на Сайт Оператора. Данные файлы позволяют Сайту распознавать устройство Пользователя. Содержимое такого файла может как относиться, так и не относиться к персональным данным, в зависимости от того, содержит ли такой файл персональные данные или содержит обезличенные технические данные.

3. Цель обработки персональных данных: анализ пользовательской активности с помощью сервиса «Яндекс.Метрика».

4. Категории субъектов персональных данных: все Пользователи Сайта, которые дали согласие на обработку файлов «cookie».

5. Способы обработки: сбор, запись, систематизация, накопление, хранение, уточнение (обновление, изменение), извлечение, использование, передача (доступ, предоставление), блокирование, удаление, уничтожение персональных данных.

6. Срок обработки и хранения: до получения от Субъекта персональных данных требования о прекращении обработки/отзыва согласия.

7. Способ отзыва: заявление об отзыве в письменном виде путём его направления на адрес электронной почты Оператора: info@rcsi.science или путем письменного обращения по юридическому адресу: 119991, г. Москва, Ленинский просп., д.32А

8. Субъект персональных данных вправе запретить своему оборудованию прием этих данных или ограничить прием этих данных. При отказе от получения таких данных или при ограничении приема данных некоторые функции Сайта могут работать некорректно. Субъект персональных данных обязуется сам настроить свое оборудование таким способом, чтобы оно обеспечивало адекватный его желаниям режим работы и уровень защиты данных файлов «cookie», Оператор не предоставляет технологических и правовых консультаций на темы подобного характера.

9. Порядок уничтожения персональных данных при достижении цели их обработки или при наступлении иных законных оснований определяется Оператором в соответствии с законодательством Российской Федерации.

10. Я согласен/согласна квалифицировать в качестве своей простой электронной подписи под настоящим Согласием и под Политикой обработки персональных данных выполнение мною следующего действия на сайте: https://journals.rcsi.science/ нажатие мною на интерфейсе с текстом: «Сайт использует сервис «Яндекс.Метрика» (который использует файлы «cookie») на элемент с текстом «Принять и продолжить».