Skip to main content

Advertisement

Log in

Pulse waveform analysis on temporal changes in ocular blood flow due to caffeine intake: a comparative study between habitual and non-habitual groups

  • Glaucoma
  • Published:
Graefe's Archive for Clinical and Experimental Ophthalmology Aims and scope Submit manuscript

Abstract

Purpose

To evaluate and compare the temporal changes in pulse waveform parameters of ocular blood flow (OBF) between non-habitual and habitual groups due to caffeine intake.

Method

This study was conducted on 19 healthy subjects (non-habitual 8; habitual 11), non-smoking and between 21 and 30 years of age. Using laser speckle flowgraphy (LSFG), three areas of optical nerve head were analyzed which are vessel, tissue, and overall, each with ten pulse waveform parameters, namely mean blur rate (MBR), fluctuation, skew, blowout score (BOS), blowout time (BOT), rising rate, falling rate, flow acceleration index (FAI), acceleration time index (ATI), and resistive index (RI). Two-way mixed ANOVA was used to determine the difference between every two groups where p < 0.05 is considered significant.

Result

There were significant differences between the two groups in several ocular pulse waveform parameters, namely MBR (overall, vessel, tissue), BOT (overall), rising rate (overall), and falling rate (vessel), all with p < 0.05. In addition, the ocular pulse waveform parameters, i.e., MBR (overall), skew (tissue), and BOT (tissue) showed significant temporal changes within the non-habitual group, but not within the habitual group. The temporal changes in parameters MBR (vessel, tissue), skew (overall, vessel), BOT (overall, vessel), rising rate (overall), falling rate (overall, vessel), and FAI (tissue) were significant for both groups (habitual and non-habitual) in response to caffeine intake.

Conclusion

The experiment results demonstrated caffeine does modulate OBF significantly and response differently in non-habitual and habitual groups. Among all ten parameters, MBR and BOT were identified as the suitable biomarkers to differentiate between the two groups.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. McLellan TM, Caldwell JA, Lieberman HR (2016) A review of caffeine’s effects on cognitive, physical and occupational performance. Neurosci Biobehav Rev 71:294–312. https://doi.org/10.1016/j.neubiorev.2016.09.001

    Article  PubMed  CAS  Google Scholar 

  2. Okuno T, Sugiyama T, Tominaga M, Kojima S, Ikeda T (2002) Effects of caffeine on microcirculation of the human ocular fundus. Jpn J Ophthalmol 46(2):170–176

    Article  PubMed  CAS  Google Scholar 

  3. Terai N, Spoerl E, Pillunat LE, Stodtmeister R (2012) The effect of caffeine on retinal vessel diameter in young healthy subjects. Acta Ophthalmol 90(7):e524–e528. https://doi.org/10.1111/j.1755-3768.2012.02486.x

    Article  PubMed  CAS  Google Scholar 

  4. Kennedy DO, Haskell CF (2011) Cerebral blood flow and behavioural effects of caffeine in habitual and non-habitual consumers of caffeine: a near infrared spectroscopy study. Biol Psychol 86(3):298–306. https://doi.org/10.1016/j.biopsycho.2010.12.010

    Article  PubMed  Google Scholar 

  5. Sugiyama T, Araie M, Riva CE, Schmetterer L, Orgul S (2010) Use of laser speckle flowgraphy in ocular blood flow research. Acta Ophthalmol 88(7):723–729. https://doi.org/10.1111/j.1755-3768.2009.01586.x

    Article  PubMed  Google Scholar 

  6. Sato T, Sugawara J, Aizawa N, Iwama N, Takahashi F, Nakamura-Kurakata M, Saito M, Sugiyama T, Kunikata H, Nakazawa T, Yaegashi N (2017) Longitudinal changes of ocular blood flow using laser speckle flowgraphy during normal pregnancy. PLoS One 12(3):e0173127. https://doi.org/10.1371/journal.pone.0173127

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Zimmermann-Viehoff F, Thayer J, Koenig J, Herrmann C, Weber CS, Deter HC (2016) Short-term effects of espresso coffee on heart rate variability and blood pressure in habitual and non-habitual coffee consumers—a randomized crossover study. Nutr Neurosci 19(4):169–175. https://doi.org/10.1179/1476830515Y.0000000018

    Article  PubMed  Google Scholar 

  8. Bell DG, McLellan TM (2002) Exercise endurance 1, 3, and 6 h after caffeine ingestion in caffeine users and nonusers. J Appl Physiol 93(4):1227–1234. https://doi.org/10.1152/japplphysiol.00187.2002

    Article  PubMed  CAS  Google Scholar 

  9. Portella Rde L, Barcelos RP, da Rosa EJ, Ribeiro EE, da Cruz IB, Suleiman L, Soares FA (2013) Guarana (Paullinia cupana Kunth) effects on LDL oxidation in elderly people: an in vitro and in vivo study. Lipids Health Dis 12:12. https://doi.org/10.1186/1476-511X-12-12

    Article  PubMed  CAS  Google Scholar 

  10. Aizawa N, Yokoyama Y, Chiba N, Omodaka K, Yasuda M, Otomo T, Nakamura M, Fuse N, Nakazawa T (2011) Reproducibility of retinal circulation measurements obtained using laser speckle flowgraphy-NAVI in patients with glaucoma. Clin Ophthalmol 5:1171–1176. https://doi.org/10.2147/OPTH.S22093

    Article  PubMed  PubMed Central  Google Scholar 

  11. Luft N, Wozniak PA, Aschinger GC, Fondi K, Bata AM, Werkmeister RM, Schmidl D, Witkowska KJ, Bolz M, Garhofer G, Schmetterer L (2016) Ocular blood flow measurements in healthy white subjects using laser speckle flowgraphy. PLoS One 11(12):e0168190. https://doi.org/10.1371/journal.pone.0168190

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Fukami M, Iwase T, Yamamoto K, Kaneko H, Yasuda S, Terasaki H (2017) Changes in retinal microcirculation after intravitreal ranibizumab injection in eyes with macular edema secondary to branch retinal vein occlusion. Invest Ophthalmol Vis Sci 58(2):1246–1255. https://doi.org/10.1167/iovs.16-21115

    Article  PubMed  CAS  Google Scholar 

  13. Laerd S (2015) Two-way mixed ANOVA using SPSS statistics. Statistical tutorials and software guides. https://statistics.laerd.com/premium/spss/twma/two-way-mixed-anova-in-spss-24.php. Accessed 8 Jan 2018

  14. Tsuda S, Kunikata H, Shimura M, Aizawa N, Omodaka K, Shiga Y, Yasuda M, Yokoyama Y, Nakazawa T (2014) Pulse-waveform analysis of normal population using laser speckle flowgraphy. Curr Eye Res 39(12):1207–1215. https://doi.org/10.3109/02713683.2014.905608

    Article  PubMed  Google Scholar 

  15. Enaida H, Nagata S, Takeda A, Nakao S, Ikeda Y, Ishibashi T (2016) Changes in chorioretinal blood flow velocity and cerebral blood flow after carotid endarterectomy. Jpn J Ophthalmol 60(6):459–465. https://doi.org/10.1007/s10384-016-0472-y

    Article  PubMed  Google Scholar 

  16. Bettermann K, Slocomb J, Shivkumar V, Quillen D, Gardner TW, Lott ME (2017) Impaired retinal vasoreactivity: an early marker of stroke risk in diabetes. J Neuroimaging : Official J Am Soc Neuroimaging 27(1):78–84. https://doi.org/10.1111/jon.12412

    Article  Google Scholar 

  17. Addicott MA, Yang LL, Peiffer AM, Burnett LR, Burdette JH, Chen MY, Hayasaka S, Kraft RA, Maldjian JA, Laurienti PJ (2009) The effect of daily caffeine use on cerebral blood flow: how much caffeine can we tolerate? Hum Brain Mapp 30(10):3102–3114. https://doi.org/10.1002/hbm.20732

    Article  PubMed  PubMed Central  Google Scholar 

  18. Meredith SE, Juliano LM, Hughes JR, Griffiths RR (2013) Caffeine use disorder: a comprehensive review and research agenda. J Caffeine Res 3(3):114–130. https://doi.org/10.1089/jcr.2013.0016

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Yanagida K, Iwase T, Yamamoto K, Ra E, Kaneko H, Murotani K, Matsui S, Terasaki H (2015) Sex-related differences in ocular blood flow of healthy subjects using laser speckle flowgraphy. Invest Ophthalmol Vis Sci 56(8):4880–4890. https://doi.org/10.1167/iovs.15-16567

    Article  PubMed  CAS  Google Scholar 

  20. Chandrasekaran S, Rochtchina E, Mitchell P (2005) Effects of caffeine on intraocular pressure: the Blue Mountains Eye Study. J Glaucoma 14(6):504–507

    Article  PubMed  Google Scholar 

  21. Pemp B, Georgopoulos M, Vass C, Fuchsjager-Mayrl G, Luksch A, Rainer G, Schmetterer L (2009) Diurnal fluctuation of ocular blood flow parameters in patients with primary open-angle glaucoma and healthy subjects. Br J Ophthalmol 93(4):486–491. https://doi.org/10.1136/bjo.2008.148676

    Article  PubMed  CAS  Google Scholar 

  22. Fukami M, Iwase T, Yamamoto K, Ra E, Murotani K, Terasaki H (2017) Diurnal variation of pulse waveform parameters determined by laser speckle flowgraphy on the optic nerve head in healthy subjects. Medicine 96(44):e8312. https://doi.org/10.1097/MD.0000000000008312

    Article  PubMed  PubMed Central  Google Scholar 

  23. Iwase T, Yamamoto K, Ra E, Murotani K, Matsui S, Terasaki H (2015) Diurnal variations in blood flow at optic nerve head and choroid in healthy eyes: diurnal variations in blood flow. Medicine 94(6):e519. https://doi.org/10.1097/MD.0000000000000519

    Article  PubMed  PubMed Central  Google Scholar 

  24. Panza JA, Epstein SE, Quyyumi AA (1991) Circadian variation in vascular tone and its relation to alpha-sympathetic vasoconstrictor activity. N Engl J Med 325(14):986–990. https://doi.org/10.1056/NEJM199110033251402

    Article  PubMed  CAS  Google Scholar 

Download references

Funding

The project was funded by the Ministry of Higher Education Malaysia under HICoE scheme to CISIR. The sponsor had no role in the design or conduct of the research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tong Boon Tang.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Electronic supplementary material

ESM 1

(DOCX 28.7 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ismail, A., Bhatti, M.S., Faye, I. et al. Pulse waveform analysis on temporal changes in ocular blood flow due to caffeine intake: a comparative study between habitual and non-habitual groups. Graefes Arch Clin Exp Ophthalmol 256, 1711–1721 (2018). https://doi.org/10.1007/s00417-018-4030-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00417-018-4030-9

Keywords

Navigation