The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
The relationship between heart rate variability and inflammatory markers in cardiovascular diseases
Open accessAbstract
Summary Introduction Recent evidence implicates a cholinergic anti-inflammatory pathway. Because vagus nerve activity mediates some heart rate variability (HRV), this qualitative review examines the literature concerning circulating cytokines and HRV in cardiovascular function in humans. This qualitative review examines the literature concerning circulating cytokines and HRV in cardiovascular function in humans. Methods Thirteen studies on HRV, inflammation, and cardiovascular function were located by electronic library search and descriptively reviewed. Results The relationship between HRV and inflammation was studied in healthy controls, patients with acute or stable coronary heart disease (CHD), patients with metabolic syndrome or impaired glucose tolerance and patients with kidney failure. Investigations focused mainly on lnterleukin-6 (IL-6) and C-reactive peptide (CRP). The majority of reviewed studies reported that parasympathetic nervous system tone as inferred from heart rate variability is inversely related to inflammatory markers (r values between −0.2 and −0.4). The relationships with inflammatory markers were similar whether derived from ECG signals as short as 5–30 min or from 24-h ECG readings for HRV analyses. While inflammatory markers appear to be related to HRV, it is a mistake to assume that the traditional “vagal measures” of HRV (such as high frequency heart rate variability) are the driving factors. Indeed, low frequency heart rate variability, a complex measure reflecting both parasympathetic and sympathetic activity, is the more commonly associated measure linked to inflammatory markers. Discussion Heart rate variability is inversely correlated with inflammatory markers in healthy individuals as well as in those with cardiovascular diseases.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J. (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a014868 · Cited by 15,289
Pagani, M., Lombardi, F., Guzzetti, S., Rimoldi, O., Furlan, R., Pizzinelli, P., Sandrone, G., Malfatto, G., Dell'Orto, S., & Piccaluga, E. (1986) · Circulation Research · doi:10.1161/01.res.59.2.178 · Cited by 4,130
Tracey, K. J. (2002) · Nature · doi:10.1038/nature01321 · Cited by 3,728
Targan, S. R., Hanauer, S. B., van Deventer, S. J. H., Mayer, L., Present, D. H., Braakman, T., DeWoody, K. L., Schaible, T. F., & Rutgeerts, P. J. (1997) · New England Journal of Medicine · doi:10.1056/nejm199710093371502 · Cited by 3,135
Elliott, M. J., Maini, R. N., Feldmann, M., Kalden, J. R., Antoni, C., Smolen, J. S., Leeb, B., Breedveld, F. C., Macfarlane, J. D., Bijl, J. A., et al. (1994) · The Lancet · doi:10.1016/s0140-6736(94)90628-9 · Cited by 1,682
Heart rate variability: measurement and clinical utility.
Kleiger, R. E., Stein, P. K., & Bigger, J. T. (2005) · Annals of Noninvasive Electrocardiology · doi:10.1111/j.1542-474x.2005.10101.x · Cited by 1,290
Cholinergic agonists inhibit HMGB1 release and improve survival in experimental sepsis
Wang, H., Liao, H., Ochani, M., Justiniani, M., Lin, X., Yang, L., Al-Abed, Y., Wang, H., Metz, C., Miller, E. J., et al. (2004) · Nature Medicine · doi:10.1038/nm1124 · Cited by 1,170
Autonomic innervation and regulation of the immune system (1987–2007)
Nance, D. M., & Sanders, V. M. (2007) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2007.03.008 · Cited by 855
Huston, J. M., Ochani, M., Rosas-Ballina, M., Liao, H., Ochani, K., Pavlov, V. A., Gallowitsch-Puerta, M., Ashok, M., Czura, C. J., Foxwell, B., et al. (2006) · The Journal of Experimental Medicine · doi:10.1084/jem.20052362 · Cited by 683 · cited 1×
“The major anticholinergic effect of the vagal nerve on cytokine production seems to converge in the spleen, although there is no direct parasympathetic innervation to it (Huston et al., 2006; Nance and Sanders, 2007).”
BackgroundBrunner, E. J., Hemingway, H., Walker, B. R., Page, M., Clarke, P., Juneja, M., Shipley, M. J., Kumari, M., Andrew, R., Seckl, J. R., et al. (2002) · Circulation · doi:10.1161/01.cir.0000038364.26310.bd · Cited by 539
Saeed, R. W., Varma, S., Peng-Nemeroff, T., Sherry, B., Balakhaneh, D., Huston, J., Tracey, K. J., Al-Abed, Y., & Metz, C. N. (2005) · The Journal of Experimental Medicine · doi:10.1084/jem.20040463 · Cited by 489
Beat-to-beat variations of heart rate reflect modulation of cardiac autonomic outflow
Saul, J. (1990) · Physiology · doi:10.1152/physiologyonline.1990.5.1.32 · Cited by 424
The Vagus Nerve and Nicotinic Receptors Modulate Experimental Pancreatitis Severity in Mice
van Westerloo, D. J., Giebelen, I. A., Florquin, S., Bruno, M. J., LaRosa, G. J., Ulloa, L., Tracey, K. J., & van der Poll, T. (2006) · Gastroenterology · doi:10.1053/j.gastro.2006.02.022 · Cited by 377
Cited by
An overview of heart rate variability metrics and norms
Shaffer, F., & Ginsberg, J. P. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00258 · Cited by 7,185
Miller, G. E., Chen, E., & Parker, K. J. (2011) · Psychological Bulletin · doi:10.1037/a0024768 · Cited by 1,785
Tracey, K. J. (2009) · Nature Reviews Immunology · doi:10.1038/nri2566 · Cited by 1,154
Heart-Rate Variability—More than Heart Beats?
Ernst, G. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00240 · Cited by 416
Breath of Life: The Respiratory Vagal Stimulation Model of Contemplative Activity
Gerritsen, R. J. S., & Band, G. P. H. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00397 · Cited by 342
Metadata
- Authors
- Haensel, A., Mills, P. J., Nelesen, R. A., Ziegler, M. G., & Dimsdale, J. E.
- Venue
- Psychoneuroendocrinology
- Publisher
- Elsevier BV
- Published
- 2008-11
- Volume
- 33
- Issue
- 10
- Pages
- 1305-1312
- ISSN
- 0306-4530 (ISSN-L)
- OpenAlex
- W2007479430
- Cited by
- 281
- References
- 13
- FWCI
- 9.68
- Type
- journal article
- Language
- en
- Open access
- green
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
