Next Article in Journal
Barriers to Accessing HIV Care Services in Host Low and Middle Income Countries: Views and Experiences of Indonesian Male Ex-Migrant Workers Living with HIV
Previous Article in Journal
Psychometric Properties of the Spanish Version of the Work Group Emotional Intelligence Profile Short Version (WEIP-S) in a Sample of Spanish Federated Coaches
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Correlation between Two Angiotensin-Converting Enzyme Inhibitor’s Concentrations and Cognition

1
Department of Health Informatics, Faculty of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
2
Department of Neurology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
3
Doctoral School of Health Sciences, Institute of Behavioral Science, Faculty of General Medicine, University of Debrecen, 4032 Debrecen, Hungary
4
Department of Forensic Toxicology, Hungarian Institute for Forensic Sciences, 1903 Budapest, Hungary
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Environ. Res. Public Health 2022, 19(21), 14375; https://doi.org/10.3390/ijerph192114375
Submission received: 21 September 2022 / Revised: 23 October 2022 / Accepted: 30 October 2022 / Published: 3 November 2022

Abstract

:
Both lisinopril and enalapril are angiotensin-converting enzyme (ACE) drugs and widely used in the treatment of hypertension. Enalapril does not cross the blood–brain barrier, but lisinopril is centrally active. Our goal was to find out if there was a link between the actual concentration of ACE inhibitors and cognition and if there was a detectable difference between the two types of ACE inhibitors. Asymptomatic, non-treated patients were diagnosed by screening and the hypertension was confirmed by ambulatory blood pressure monitoring (ABPM). A battery of cognitive tests was used to assess the impact of randomly assigning participants to receive either lisinopril or enalapril. All neurocognitive functions were measured, especially the most affected by conditions of compromised perfusion pressures, such as hypertension, which are attention and executive functions. The lisinopril concentration showed a significant inverse correlation with mosaic test (coeff. = −0.5779) and seemed to have a significant negative effect on perceptual motor skills (coeff. = −0.5779), complex attention (coeff. = −0.5104) and learning (coeff. = −0.5202). Compared with enalapril, lisinopril is less successful in improving the components of cognitive functions.

1. Introduction

Hypertension increases the risk of cardiac issues, renal diseases and stroke. It affects about 1.28 billion people aged 30–79 around the world, with two-thirds of them living in low- and middle-income countries [1].
Alzheimer’s disease and vascular dementia are the most common types of dementia and both are linked to chronic arterial hypertension, which is a well-known risk factor [2].
The ACE plays a crucial role in the regulation of blood pressure. ACE inhibition has a general antihypertensive effect [3].
ACE is produced by neurons and converts angiotensin I to angiotensin II [4,5]. In a mouse model of Alzheimer’s disease, ACE inhibitors have been shown to reduce microglial activation and neuronal damage [6]. ACE inhibition has also been shown to improve cognitive function, especially memory, in Alzheimer’s patients in a number of clinical trials and observational studies [7,8,9,10,11,12,13]. Thus, ACE inhibition is a strong candidate in clinical trials to alleviate cognitive dysfunction [14].
Lisinopril has a few key properties that differ from enalapril; (1) it has a long half-life, (2) it is hydrophilic, and (3) it is not broken down by the liver and crosses the blood–brain barrier. Lisinopril is a competitive inhibitor of ACE. It stops angiotensin I from changing into the powerful vasoconstrictor angiotensin II. Its pharmacological properties make it suitable for the treatment of hypertension [15,16].
Enalapril is also an ACE inhibitor, which is also widely used in the treatment of hypertension, with a similar pathomechanism to lisinopril, however, enalapril does not cross the blood–brain barrier.
Our goal was to find out if there was a link between the actual concentration of ACE inhibitors and cognition in relatively young hypertensives without cognitive deficit and if there was a detectable difference between the two types of ACE inhibitors.

2. Materials and Methods

Our research was performed at the Neurological Department of the Clinical Centre of the University of Debrecen. Neurologically asymptomatic non-treated hypertensive patients were found by screening of policemen and firemen of the city. None of them had structural abnormalities on the cranial CTs. The hypertension was confirmed by ABPM and the effects of randomly assigned lisinopril or enalapril were investigated with the battery of cognitive tests before and after 3-month antihypertensive therapy. A battery of cognitive tests were applied. The actual blood concentration of enalapril and lisinopril concentrations were measured, and the cognitive functions were also measured simultaneously.

2.1. Statistical Analysis

Proportions, means and medians were used for descriptive statistics. The Shapiro–Wilk test evaluates normality for continuous variables. Student’s t-test was used to compare averages of baseline and 3-month parameters. For quantification of associations between continuous variables, Pearson’s correlations were applied.
Statistical analyses were performed by Intercooled Stata v13 [17].

2.2. Ethics Approval

The study protocol was approved by the Ethics Committee of the University of Debrecen, and the study was performed in accordance with the Declaration of Helsinki (registration number: 4700168520, file number: KK/186/2016). After reading the protocol, all the participants gave their written permission to take part.

2.3. Procedure

All patients underwent a detailed 90 min long neuropsychological evaluation with the guidance of a psychologist. The test was designed to determine the main neurocognitive functions listed in the 5th Edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5): reaction time, attention, executive function, learning, memory and perceptual motor skills. The test package had the most sensitive tests that could pick up on small differences in cognitive function that might not be obvious in everyday life.
The order of tasks was changed by some subjects to control the effect of the order on performance (e.g., due to fatigue). Two key aspects were considered when the sequence of tasks was created. Exercises requiring creativity (e.g., five-point tests and verbal fluency tests) were performed earlier than the types of tasks that measured cognition. During the 20 min delay of the delayed-recognition task, only nonverbal tasks were performed to avoid interference. Prior to the baseline assessment, we drew randomly from these tests. All neurocognitive functions were measured, especially the most sensitive ones to hypertension, which are attention, executive functions, and memory.
The following tests were used to assess cognitive functions: computerized reaction time assessment, digit symbol substitution test [18,19,20], Toulouse–Piéron test [21,22], Victoria Stroop test [23,24], Trail Making Test [25], Five-Point Test [26,27,28], Digit Span Test [29,30], Corsi block-tapping test [30,31], Rey-AVLT [32,33,34], verbal fluency test: letter, category, and action fluency [35,36,37], WAIS mosaic test [18,19,20].

2.4. Laboratory Measurement

Sample preparation and extraction procedure were done according to Padua et al. (2004) with some modifications [38].
Sample preparation: 400 μL of aqueous hydrochloric acid solution (10 mM) containing 10 ng/mL trandolapril as an internal standard were dispensed in appropriate Eppendorf tubes and then 500 μL sample human blood was added and vortex-mixed. Waters HLB Oasis solid phase extraction (SPE) cartridges were preconditioned by washing first with 2 mL methanol and then 1 mL of hydrochloric acid solution (10 mM) under light vacuum. All blood samples were applied to the individual Waters Oasis SPE cartridges. Using light vacuum, the samples were slowly drawn through the cartridges. The cartridges were washed five times with 1 mL of aqueous hydrochloric acid solution (10 mM) under light vacuum. The cartridges were then eluted in separate glass tubes with 0.5 mL methanol by applying a light positive pressure. The solvent was evaporated by using a flow of nitrogen at room temperature. The dry residues were reconstituted with 200 μL of acetonitrile/water (30:70 v/v) and transferred to vials.
Chromatographic conditions: An aliquot (10 μL) of each blood extract was injected into Phenomenex Kinetex C18 analytical column (100 mm × 3.0 mm × 2.6 μm), operating at 40 °C temperature in a Shimadzu Nexera X2 ultra high performance liquid chromatograph (UHPLC). The mobile phases were formiate buffer 15 mM pH 4.0 (A) and acetonitrile with 0.1% formic acid (B). The gradient begins with 5% B eluent through 1 min, then increases to 26% B eluent for 2.68 min, then rises to 90% B eluent at 3.74 min. It remains isocratic until the 8th minute, then decreases back to 5% B eluent through 0.5 min and holds it for 1.5 min (Figure 1).
The mass spectrometer was a Shimadzu LCMS 8050 equipped with an electrospray ion source used in positive mode and in multiple reaction monitoring (MRM) mode. The monitored MRM transitions can be seen in Table 1.
The calibration points were 6.25, 12.5, 25, and 40 ng/mL for enalapril and lisinopril and 12.5, 25, 50, and 80 ng/mL for enalaprilat. Limit of detection (LoD) values were under 1 ng/mL for every compound.

3. Results

The sample consisted of 34 patients, of whom 29.41% (10) were female. The average age ± SD was 49.53 ± 11.14 years. Enalapril was administered to 18 patients (52.94%), while lisinopril was the used medication for 16 patients (47.06%).
Lisinopril (contrary to enalapril) not only significantly decreased the diastolic but also the systolic blood pressure (146.36 mmHg vs. 137.86 mmHg p = 0.004) (Table 2).
The lisinopril concentration showed a significant inverse correlation with mosaic test (coeff. = −0.5779).
Lisinopril (contrary to enalapril) seemed to have a significant negative effect on perceptual motor skills (coeff. = −0.5779), complex attention (coeff. = −0.5104), and learning (coeff. = −0.5202) (Table 3).

4. Discussion

In our pilot study, we measured the concentrations of enalapril and lisinopril and compared them with the results of cognitive tests after 3 months therapy. In our pilot study, the lisinopril worsened some important elements of cognition (e.g., attention, visuospatial orientation). This deleterious effect was concentration-dependent and not related to the blood pressure decrease. Neither the systolic nor the diastolic values showed significant differences between the enalapril and lisinopril group after therapy; therefore, the negative impact of lisinopril on the cognition could be mediated by its direct effect on CNS. Others also detected a negative effect of lisinopril therapy. Hajjar et al. found an increased number of white matter abnormalities in the lisinopril-treated patients after a relatively short therapy [7].
It is not yet determined whether the diuretics, calcium channel blockers, beta-blockers, angiotensin-converting enzyme inhibitors, and angiotensin receptor blockers (ARBs)) are associated with different effects on cognition. Some antihypertensive medications were linked to a decreased risk of dementia in elderly people with isolated systolic hypertension [39]. ARBs, particularly those that cross the BBB, are linked to better memory preservation and lower WMH volume than other antihypertensive drugs [40].
There is a large body of research evidence that ACE inhibitors also have beneficial effects on cognition in addition to regulating blood pressure [41].
The effect of centrally acting ACE inhibitors on cognition of hundreds of demented patients were most evident within the first 6 months of treatment [42].
Recent observations also showed that this effect can be separated from the effect of lowering blood pressure [16].
A 2014 study examined the effect of ACE inhibitors on memory performance in 205 healthy subjects. Their results showed that the ACE gene affects memory performance, and thus that the use of ACE inhibitors affects cognitive function [43].
However, the observations are controversial. A previous study has already shown that blood pressure regulators that penetrate the brain are associated with protection against cognitive decline [20] but others could not support the positive effect of centrally active ACE inhibitors on cognitive functions [16].
Our previous observation also confirmed the beneficial effect of 3 month ACE inhibitor therapy on cognition, but in that study a mixed group of ACE inhibitors (CNS-active and non-active) were investigated and we did not measure the drug concentrations in the blood [44].
The majority of previous studies investigated the long-term antihypertensive therapies either on prevention/slow downing of cognitive decline of mild cognitive impairment or demented patients.
Italian authors evaluated cognitively normal individuals treated for hypertension with a 3.5-year follow-up. They found that the enalapril alone or combined with the lisinopril were associated with a reduced risk of incident MCI [45].
In another study, 98 mild-to-medium severity hypertensive patients were treated for six weeks with different classes of antihypertensive drugs (including enalapril). The therapy was associated with some small decrements in psychomotor performance and small improvements in working memory [46].
Fogari et al. investigated patients with mild-to-moderate essential hypertension and treated with valsartan or enalapril for 16 weeks. The enalapril did not deteriorate the cognition but did not result in any improving effect. A similar result was published in a 2004 study comparing enalapril with another class of drugs, which found no significant change in cognitive function in the group of enalapril users on any of the cognitive function test scores [47].
In patients with mild cognitive impairment and hypertension, 1-year therapy with lisinopril resulted in significant accumulation/worsening of white matter lesions in the brain [48].
In several elements of emotional, cognitive, and social functioning, lisinopril outperformed metoprolol; however, it was inferior to telmisartan in other studies [40,48].
Our study differed from the observation cited above. We collected relatively young hypertensives without cognitive impairment.
As for our knowledge, our study is the first one that investigated not only the actual concentrations of enalapril and lisinopril in the blood but also the cognition at the same time.
One of the main questions was whether there is a detectable difference in cognitive function between a blood–brain barrier crossing (centrally active) ACE inhibitor (lisinopril) and a blood–brain barrier (non-crossing) ACE inhibitor (enalapril) [18,49,50]. A 2009 study involving more than 1000 patients concluded a finding that after pooling the results of cognitive function tests, an advantage of blood–brain barrier crossing ACE inhibitors was seen [49].
Our study highlights differences related to cognitive functions by different drugs [47]. Compared with enalapril, lisinopril seemed to be less successful in improving the components of cognitive function.
Based on the concentration results, we do not see an advantage of centrally active ACE inhibitors in improving cognitive function. A higher lisinopril concentration was associated with worse performance in several cognitive areas. A previous study also suggested a decrease in executive function among people taking lisinopril [50].
Our pilot study has the following strengths: essential hypertensive patients who had received no therapy before the study had no concomitant confounding disease, single drug therapy caused no symptoms of mild cognitive impairment or dementia, there was no structural brain diseases (e.g., silent brain infarct, brain atrophy), and there was a wide spectrum of cognitive tests measurements of the actual concentration of the drugs.
The limitations of our study include the small number of patients and the unbalanced gender distribution (more males than females). The follow-up was relatively short and the change was analyzed after 3 months. Different effects may have been demonstrated over a longer period.
According to our findings, lisinopril and enalapril do not appear to be effective in terms of cognitive performance. We were not able to show that the ACE inhibitor had a positive effect on cognitive functions when it got into the central nervous system. In fact, higher drug concentrations were linked to worse results in some areas of cognitive function.
In the future, another study with larger number of patients should confirm the results of this pilot study.

5. Conclusions

The therapy of hypertension is evolving. There is an unmet need for targeted and personalized types and doses of antihypertensive medications, improving patient adherence, and not worsening their cognitive status. As the blood pressure values did not differ significantly between the enalapril and lisinopril groups (before and after therapy); moreover, due to the negative effect of lisinopril on some elements of cognition, we assume that it is due to the direct effect of lisinopril on CNS. Larger prospective study should confirm these observations. If the larger studies confirm our results, those asymptomatic hypertensives who need sustained complex attention and visuospatial abilities in their daily work should avoid lisinopril therapy and choose another type of antihypertensive medication.

Author Contributions

Conceptualization, A.N., R.M., G.S. and L.C.; methodology, A.N. and R.M.; formal analysis, A.N., R.M. and L.C.; data curation, E.C. and A.D.; writing—original draft preparation, A.N., R.M., E.C., A.D., G.S. and L.C.; writing—review and editing, A.N., R.M. and L.C. Funding acquisition, L.C. All authors have read and agreed to the published version of the manuscript.

Funding

The study was supported by the Gedeon Richter research grant (4700168520KK/186/2016), and the ELKH-DE Cerebrovascular Research Group.

Institutional Review Board Statement

The study protocol was approved by the Ethics Committee of the University of De-brecen, and the study was performed in accordance with the Declaration of Helsinki (reg-istration number: 4700168520, file number: KK/186/2016).

Informed Consent Statement

All the participants gave their written permission to take part.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. WHO Hypertension: Key Facts. 2021. Available online: https://www.who.int/news-room/fact-sheets/detail/hypertension (accessed on 1 August 2022).
  2. Iadecola, C.; Yaffe, K.; Biller, J.; Bratzke, L.C.; Faraci, F.M.; Gorelick, P.B.; Gulati, M.; Kamel, H.; Knopman, D.S.; Launer, L.J.; et al. Impact of Hypertension on Cognitive Function: A Scientific Statement from the American Heart Association. Hypertension 2016, 68, e67–e94. [Google Scholar] [CrossRef] [PubMed]
  3. Rajeev Kumar, A.B. Pharmacological Review on Natural ACE Inhibitors. Pharm. Lett. 2010, 2, 273–293. [Google Scholar]
  4. Griendling, K.K.; Murphy, T.J.; Alexander, R.W. Molecular Biology of the Renin-Angiotensin System. Circulation 1993, 87, 1816–1828. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Savaskan, E.; Hock, C.; Olivieri, G.; Bruttel, S.; Rosenberg, C.; Hulette, C.; Müller-Spahn, F. Cortical Alterations of Angiotensin Converting Enzyme, Angiotensin II and AT1 Receptor in Alzheimer’s Dementia. Neurobiol. Aging 2001, 22, 541–546. [Google Scholar] [CrossRef]
  6. Torika, N.; Asraf, K.; Roasso, E.; Danon, A.; Fleisher-Berkovich, S. Angiotensin Converting Enzyme Inhibitors Ameliorate Brain Inflammation Associated with Microglial Activation: Possible Implications for Alzheimer’s Disease. J. Neuroimmune Pharmacol. 2016, 11, 774–785. [Google Scholar] [CrossRef]
  7. Hajjar, I.M.; Keown, M.; Lewis, P.; Almor, A. Angiotensin Converting Enzyme Inhibitors and Cognitive and Functional Decline in Patients with Alzheimer’s Disease: An Observational Study. Am. J. Alzheimers Dis. Dementiasr 2008, 23, 77–83. [Google Scholar] [CrossRef]
  8. Soto, M.E.; Abellan van Kan, G.; Nourhashemi, F.; Gillette-Guyonnet, S.; Cesari, M.; Cantet, C.; Rolland, Y.; Vellas, B. Angiotensin-Converting Enzyme Inhibitors and Alzheimer’s Disease Progression in Older Adults: Results from the Réseau Sur La Maladie d’Alzheimer Français Cohort. J. Am. Geriatr. Soc. 2013, 61, 1482–1488. [Google Scholar] [CrossRef]
  9. Yasar, S.; Xia, J.; Yao, W.; Furberg, C.D.; Xue, Q.-L.; Mercado, C.I.; Fitzpatrick, A.L.; Fried, L.P.; Kawas, C.H.; Sink, K.M.; et al. Antihypertensive Drugs Decrease Risk of Alzheimer Disease: Ginkgo Evaluation of Memory Study. Neurology 2013, 81, 896–903. [Google Scholar] [CrossRef] [Green Version]
  10. De Oliveira, F.F.; Bertolucci, P.H.F.; Chen, E.S.; Smith, M.C. Brain-Penetrating Angiotensin-Converting Enzyme Inhibitors and Cognitive Change in Patients with Dementia Due to Alzheimer’s Disease. J. Alzheimers Dis. 2014, 42, S321–S324. [Google Scholar] [CrossRef]
  11. De Oliveira, F.F.; Chen, E.S.; Smith, M.C.; Bertolucci, P.H.F. Pharmacogenetics of Angiotensin-Converting Enzyme Inhibitors in Patients with Alzheimer’s Disease Dementia. Curr. Alzheimer Res. 2018, 15, 386–398. [Google Scholar] [CrossRef]
  12. O’Caoimh, R.; Healy, L.; Gao, Y.; Svendrovski, A.; Kerins, D.M.; Eustace, J.; Kehoe, P.G.; Guyatt, G.; Molloy, D.W. Effects of Centrally Acting Angiotensin Converting Enzyme Inhibitors on Functional Decline in Patients with Alzheimer’s Disease. J. Alzheimers Dis. 2014, 40, 595–603. [Google Scholar] [CrossRef] [PubMed]
  13. Zhuang, S.; Wang, H.-F.; Wang, X.; Li, J.; Xing, C.-M. The Association of Renin-Angiotensin System Blockade Use with the Risks of Cognitive Impairment of Aging and Alzheimer’s Disease: A Meta-Analysis. J. Clin. Neurosci. 2016, 33, 32–38. [Google Scholar] [CrossRef] [PubMed]
  14. Nestor, J.; Arinuma, Y.; Huerta, T.S.; Kowal, C.; Nasiri, E.; Kello, N.; Fujieda, Y.; Bialas, A.; Hammond, T.; Sriram, U.; et al. Lupus Antibodies Induce Behavioral Changes Mediated by Microglia and Blocked by ACE Inhibitors. J. Exp. Med. 2018, 215, 2554–2566. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Olvera Lopez, E.; Parmar, M.; Pendela, V.S.; Terrell, J.M. Lisinopril. In StatPearls; StatPearls Publishing: Treasure Island, FL, USA, 2022. [Google Scholar]
  16. LiverTox: Clinical and Research Information on Drug-Induced Liver Injury; National Institute of Diabetes and Digestive and Kidney Diseases: Bethesda, MD, USA, 2012.
  17. StataCorp. Stata Statistical Software: Release 13; StataCorp LP: College Station, TX, USA, 2013. [Google Scholar]
  18. Wechsler, D. Wechsler Adult Intelligence Scale, 4th ed.; Pearson Assessment: San Antonio, TX, USA, 2008. [Google Scholar]
  19. Wechsler, D. Manual for the Wechsler Adult Intelligence Scale; Manual for the Wechsler Adult Intelligence Scale; Psychological Corporation: Oxford, UK, 1955; pp. vi, 110. [Google Scholar]
  20. Kun, M.; Szegedi, M. Az Intelligencia mÉrése; Akadémiai Kiadó: Budapest, Hungary, 1971. [Google Scholar]
  21. Toulouse, E.; Pieron, H. Prueba Perceptiva y de Atencion; TEA Ediciones: Madrid, Spain, 2013. [Google Scholar]
  22. Czigler, I. A Figyelem Pszichológiája; Akadémiai Kiadó: Budapest, Hungary, 2005. [Google Scholar]
  23. Golden, C.J. Stroop Color and Word Test: A Manual for Clinical and Experimental Uses; Stoelting Company: Wood Dale, IL, USA, 1978. [Google Scholar]
  24. Tárnok, Z.; Bognár, E.; Farkas, L.; Aczél, B.; Gádoros, J. A Végrehajtó Funkciók Vizsgálata Tourette-Szindrómában És Figyelemhiányos-Hiperaktvitás-Zavarban; Akadémiai Kiadó: Budapest, Hungary, 2007. [Google Scholar]
  25. Reitan, R.M. The Relation of the Trail Making Test to Organic Brain Damage. J. Consult. Psychol. 1955, 19, 393–394. [Google Scholar] [CrossRef]
  26. Goebel, S.; Fischer, R.; Ferstl, R.; Mehdorn, H.M. Normative Data and Psychometric Properties for Qualitative and Quantitative Scoring Criteria of the Five-Point Test. Clin. Neuropsychol. 2009, 23, 675–690. [Google Scholar] [CrossRef]
  27. Tucha, L.; Aschenbrenner, S.; Koerts, J.; Lange, K.W. The Five-Point Test: Reliability, Validity and Normative Data for Children and Adults. PLoS ONE 2012, 7, e46080. [Google Scholar] [CrossRef] [Green Version]
  28. Csépe, V.; Győri, M.; Ragó, A. Általános Pszichológia 1–3.–2. Tanulás–Emlékezés–Tudás; Osiris Kiadó: Budapest, Hungary, 2007. [Google Scholar]
  29. Jacobs, J. Experiments on “prehension”. Mind 1887, os-12, 75–79. [Google Scholar] [CrossRef]
  30. Racsmány, M.; Lukács, Á.; Németh, D.; Pléh, C. A Verbális Munkamemória Magyar Nyelvű Vizsgálóeljárásai. Magy. Pszichol. Szle. 2005, 60, 479–506. [Google Scholar] [CrossRef]
  31. Corsi, P. Memory and the Medial Temporal Region of the Brain; McGill University: Montreal, QB, USA, 1972. [Google Scholar]
  32. Rey, A. L’examen Clinique En Psychologie. [The Clinical Examination in Psychology]; L’examen Clinique en Psychologie; Presses Universitaries De France: Oxford, UK, 1958; p. 222. [Google Scholar]
  33. Uchiyama, C.L.; D’Elia, L.F.; Dellinger, A.M.; Becker, J.T.; Selnes, O.A.; Wesch, J.E.; Chen, B.B.; Satz, P.; van Gorp, W.; Miller, E.N. Alternate Forms of the Auditory-Verbal Learning Test: Issues of Test Comparability, Longitudinal Reliability, and Moderating Demographic Variables. Arch. Clin. Neuropsychol. Off. J. Natl. Acad. Neuropsychol. 1995, 10, 133–145. [Google Scholar] [CrossRef]
  34. Kónya, A.; Verseghi, A. Rey: Emlékezeti Vizsgálatok; Pszicho-Teszt: Budapest, Hungary, 1995. [Google Scholar]
  35. Lezak, M.D. Neuropsychological Assessment, 3rd ed.; Oxford University Press: New York, NY, USA, 1995. [Google Scholar]
  36. Tánczos, T.; Janacsek, K.; Németh, D. A verbális fluencia-tesztek I. A betűfluencia-teszt magyar nyelvű vizsgálata 5-től 89 éves korig. Psychiatr. Hung. 2014, 29, 158–180. [Google Scholar]
  37. Tánczos, T.; Janacsek, K.; Németh, D. A verbális fluencia-tesztek II. A szemantikus fluencia-teszt magyar nyelvű vizsgálata 5-től 89 éves korig. Psychiatr. Hung. 2014, 29, 181–207. [Google Scholar]
  38. Padua, A.A.F.; Barrientos-Astigarraga, R.E.; Rezende, V.M.; Mendes, G.D.; De Nucci, G. Lisinopril Quantification in Human Plasma by Liquid Chromatography-Electrospray Tandem Mass Spectrometry. J. Chromatogr. B Analyt. Technol. Biomed. Life. Sci. 2004, 809, 211–216. [Google Scholar] [CrossRef] [PubMed]
  39. Forette, F.; Seux, M.-L.; Staessen, J.A.; Thijs, L.; Birkenhäger, W.H.; Babarskiene, M.-R.; Babeanu, S.; Bossini, A.; Gil-Extremera, B.; Girerd, X.; et al. Prevention of Dementia in Randomised Double-Blind Placebo-Controlled Systolic Hypertension in Europe (Syst-Eur) Trial. Lancet 1998, 352, 1347–1351. [Google Scholar] [CrossRef]
  40. Ho, J.K.; Nation, D.A.; Alzheimer’s Disease Neuroimaging Initiative. Memory is preserved in older adults taking AT1 receptor blockers. Alzheimer’s Res. Ther. 2017, 9, 33. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Amenta, F.; Mignini, F.; Rabbia, F.; Tomassoni, D.; Veglio, F. Protective effect of anti-hypertensive treatment on cognitive function in essential hypertension: Analysis of published clinical data. J. Neurol. Sci. 2002, 203–204, 147–151. [Google Scholar] [CrossRef]
  42. Gao, Y.; O’Caoimh, R.; Healy, L.; Kerins, D.M.; Eustace, J.; Guyatt, G.; Sammon, D.; Molloy, D.W. Effects of centrally acting ACE inhibitors on the rate of cognitive decline in dementia. BMJ Open. 2013, 3, E002881. [Google Scholar] [CrossRef] [Green Version]
  43. Schuch, J.B.; Constantin, P.C.; da Silva, V.K.; Korb, C.; Bamberg, D.P.; da Rocha, T.J.; Fiegenbaum, M.; de Oliveira, A.; Tisser, L.A.; de Andrade, F.M. ACE Polymorphism and Use of ACE Inhibitors: Effects on Memory Performance. Age 2014, 36, 9646. [Google Scholar] [CrossRef] [Green Version]
  44. Csikai, E.; Andrejkovics, M.; Balajthy-Hidegh, B.; Hofgárt, G.; Kardos, L.; Diószegi, Á.; Rostás, R.; Czuriga-Kovács, K.R.; Csongrádi, É.; Csiba, L. Influence of angiotensin-converting enzyme inhibition on reversibility of alterations in arterial wall and cognitive performance associated with early hypertension: A follow-up study. Medicine 2019, 98, e16966. [Google Scholar] [CrossRef]
  45. Solfrizzi, V.; Scafato, E.; Frisardi, V.; Seripa, D.; Logroscino, G.; Kehoe, P.G.; Imbimbo, B.P.; Baldereschi, M.; Crepaldi, G.; Di Carlo, A.; et al. Angiotensin-converting enzyme inhibitors and incidence of mild cognitive impairment. The Italian Longitudinal Study on Aging. Age 2013, 35, 441–453. [Google Scholar] [CrossRef] [Green Version]
  46. Muldoon, M.F.; Waldstein, S.R.; Ryan, C.M.; Jennings, J.R.; Polefrone, J.M.; Shapiro, A.P.; Manuck, S.B. Effects of six anti-hypertensive medications on cognitive performance. J. Hypertens. 2002, 20, 1643–1652. [Google Scholar] [CrossRef] [PubMed]
  47. Fogari, R.; Mugellini, A.; Zoppi, A.; Marasi, G.; Pasotti, C.; Poletti, L.; Rinaldi, A.; Preti, P. Effects of Valsartan Compared with Enalapril on Blood Pressure and Cognitive Function in Elderly Patients with Essential Hypertension. Eur. J. Clin. Pharmacol. 2004, 59, 863–868. [Google Scholar] [CrossRef]
  48. Hajjar, I.; Okafor, M.; McDaniel, D.; Obideen, M.; Dee, E.; Shokouhi, M.; Quyyumi, A.A.; Levey, A.; Goldstein, F. Effects of Candesartan vs Lisinopril on Neurocognitive Function in Older Adults with Executive Mild Cognitive Impairment: A Randomized Clinical Trial. JAMA Netw. Open 2020, 3, e2012252. [Google Scholar] [CrossRef] [PubMed]
  49. Sink, K.M.; Leng, X.; Williamson, J.; Kritchevsky, S.B.; Yaffe, K.; Kuller, L.; Yasar, S.; Atkinson, H.; Robbins, M.; Psaty, B.; et al. Angiotensin Converting Enzyme Inhibitors and Cognitive Decline in Older Adults with Hypertension: Results from the Cardiovascular Health Study. Arch. Intern. Med. 2009, 169, 1195–1202. [Google Scholar] [CrossRef] [PubMed]
  50. Ohrui, T.; Tomita, N.; Sato-Nakagawa, T.; Matsui, T.; Maruyama, M.; Niwa, K.; Arai, H.; Sasaki, H. Effects of Brain-Penetrating ACE Inhibitors on Alzheimer Disease Progression. Neurology 2004, 63, 1324–1325. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Chromatographic conditions.
Figure 1. Chromatographic conditions.
Ijerph 19 14375 g001
Table 1. The monitored MRM transitions after automatic optimization.
Table 1. The monitored MRM transitions after automatic optimization.
CompoundParentionProductions
Lisinopril406.2084.15; 246.25; 56.05
Enalapril377.00234.25; 117.15; 91.10
Enalaprilate
(metabolite of Enalapril)
349.00206.20; 117.15; 91.10
Trandolapril431.20234.25; 117.10; 130.30
Table 2. Baseline and 3-month characteristics of patients; bold indicates significant results of Student’s t-test.
Table 2. Baseline and 3-month characteristics of patients; bold indicates significant results of Student’s t-test.
VariableEnalaprilLisinopril
BeforeAfterp-ValueBeforeAfterp-Value
Simple reaction time0.56 ± 0.110.52 ± 0.110.0100.59 ± 0.080.57 ± 0.090.265
Selective reaction time0.67 ± 0.130.65 ± 0.110.2920.67 ± 0.060.68 ± 0.080.843
RAVLT total 1–548.83 ± 10.2155.5 ± 8.660.00150.2 ± 12.7451.27 ± 10.460.598
RAVLT 610.78 ± 2.9811.44 ± 2.750.21010.33 ± 2.6410.53 ± 3.420.677
Pieron87.92 ± 12.8191.68 ± 11.260.22389.57 ± 11.3191.97 ± 6.330.345
Trail Making41.83 ± 17.6241.61 ± 110.96274.34 ± 58.5354.77 ± 39.320.007
Digit span forward6.22 ± 0.736.22 ± 1.171.0006.13 ± 1.025.94 ± 1.180.549
Digit span backward4.56 ± 0.515 ± 0.840.0574.69 ± 1.084.56 ± 1.410.633
Digit symbol41.15 ± 8.5543.85 ± 10.780.06438.95 ± 10.8442.55 ± 8.070.056
Mosaic test12.42 ± 2.3512.83 ± 1.40.49910.31 ± 4.0311.77 ± 2.590.148
5 point test95.35 ± 4.9697.27 ± 5.330.04393.72 ± 10.1693.36 ± 11.250.892
Stroop test23.77 ± 6.2623.71 ± 5.70.95127.76 ± 11.0623.39 ± 10.130.015
Verbal fluency-letter12.89 ± 4.8915.56 ± 4.490.01515.56 ± 4.4417.56 ± 5.280.125
Verbal fluency-action19.06 ± 5.0719.29 ± 5.420.85617.19 ± 7.0218.19 ± 6.270.461
Verbal fluency-category21.06 ± 4.4420.29 ± 5.790.54919.5 ± 5.7719.13 ± 7.260.792
Corsi block forward5.56 ± 1.045.83 ± 0.920.1355.69 ± 1.145.56 ± 0.960.609
Corsi block backward5.33 ± 1.415.5 ± 0.790.6264.88 ± 1.095.5 ± 1.10.028
Letter fluency12.33 ± 4.3914.02 ± 5.110.25713.75 ± 4.3816.25 ± 4.390.015
Average fluency16.39 ± 3.8815.92 ± 5.080.69816.33 ± 3.6617.45 ± 4.170.029
Working memory28.28 ± 2.329.22 ± 3.660.39427.44 ± 4.5327.69 ± 4.980.817
Language98.29 ± 23.9796.88 ± 30.810.85398 ± 21.97104.69 ± 25.010.029
Complex attention−0.85 ± 2.1−0.49 ± 2.390.272−0.9 ± 2.16−0.78 ± 2.050.718
Percepto-motor skills12.42 ± 2.3512.83 ± 1.40.49910.31 ± 4.0311.77 ± 2.590.148
Reaction time−1.23 ± 0.23−1.17 ± 0.20.063−1.27 ± 0.11−1.26 ± 0.140.659
Learning62.61 ± 13.0670.28 ± 10.720.00664.27 ± 15.4565.13 ± 13.040.750
ABPM_SBP146.15 ± 11.96140.31 ± 10.480.086146.36 ± 5137.86 ± 7.730.004
ABPM_DBP85.92 ± 7.1482.92 ± 5.30.04790 ± 7.7184.79 ± 7.230.016
Table 3. Correlation between cognitive field and drug blood concentration (Pearson’s correlation); only significant results are shown.
Table 3. Correlation between cognitive field and drug blood concentration (Pearson’s correlation); only significant results are shown.
Cognitive FieldDrugPearson’s Coefficiensp-Value
Perceptual motor functionsLisinopril−0.57790.039
Complex attentionLisinopril−0.51040.043
LearningLisinopril−0.52020.047
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Nagy, A.; Májer, R.; Csikai, E.; Dobos, A.; Süvegh, G.; Csiba, L. The Correlation between Two Angiotensin-Converting Enzyme Inhibitor’s Concentrations and Cognition. Int. J. Environ. Res. Public Health 2022, 19, 14375. https://doi.org/10.3390/ijerph192114375

AMA Style

Nagy A, Májer R, Csikai E, Dobos A, Süvegh G, Csiba L. The Correlation between Two Angiotensin-Converting Enzyme Inhibitor’s Concentrations and Cognition. International Journal of Environmental Research and Public Health. 2022; 19(21):14375. https://doi.org/10.3390/ijerph192114375

Chicago/Turabian Style

Nagy, Attila, Réka Májer, Enikő Csikai, Adrienn Dobos, Gábor Süvegh, and László Csiba. 2022. "The Correlation between Two Angiotensin-Converting Enzyme Inhibitor’s Concentrations and Cognition" International Journal of Environmental Research and Public Health 19, no. 21: 14375. https://doi.org/10.3390/ijerph192114375

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop