Franz Halberg’s research while affiliated with University of Minnesota Medical Center, Fairview and other places

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Publications (324)


Abstract 036: Genetics and Epigenetics on Circadian Blood Pressure and Variability in Rats Compared With Ambulatory Blood Pressure Variability in Human
  • Article

September 2019

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29 Reads

Hypertension

Mary S Lee

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John S Lee

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Franz Halberg

Hypertension is associated with high morbidity and mortality. Blood pressure (BP) levels vary widely due to predictable biological rhythms and unpredictable environmental factors. Daily (circadian) rhythm characteristics are considered essential parameters for recognizing and treating increased risks in BP. Franz Halberg spent most of his academic career in cardiovascular research, focused on ambulatory monitoring and developing chronobiological methods for clinical application. To compare BP Variability (BPV), automatically monitored ambulatory BP around the clock at 30-60 min intervals in 20 human subjects was compared with telemetered circadian BP in rats after one-cell homozygous embryo-transfer into spontaneously hypertensive (SHR, pup:shr) or normotensive (WKY, pup:wky) rats' oviducts (embryos: s,w; oviduct-uterus: S,W) and cross-suckled at birth (nurses S,W). The circadian response peaked in the late afternoon hours in most human subjects and early morning hours in rats. Human circadian double amplitudes (2A) varied from 8 to 26 mm Hg with higher 2A in elder adults, and 3-8 mm Hg in rats with significantly higher fluctuations in SHR groups (7.5±0.7 for sSS, 8.3±0.6 for sSW vs. 4.7±0.3 mm Hg for wWW). The circaseptan 2A in the adolescents were 10±1 for SBP and 12±3 mm Hg for DBP, and sharp increased winter 2A (SBP 54; HR 48, both P<0.0001) were observed. In rats, mostly clustered peaks around the light-on hours, while sWS and wSS groups showed peak-hour variations (19:18 to 08:06 and 02:58 to 09:10 hrs, respectively). The peak-hour in shr strains was shifted to earlier or delayed in the WKY uterus (sWW and sWS groups) with large deviations as compared to the wWW group. Hypertensive-prone shr strains showed significantly lowered BPs in WKY uterine and/or WKY nursing environments indicating that environment can strongly modify genetic influence, yet the lowered shr MESORs by the WKY environments remained above the MESORs encountered in wky donors. Thus, the maternal environment may be a major factor that affects the offspring’s BP and BPV later in life. Chronomes broader than circadian BPs are considered as a gauge of vascular disease status. Abnormal BP/BPV modifications may lead to novel implications in preventive and therapeutic strategies in CVD.



Abstract P295: Ambulatory Blood Pressure And Heart Rate Variability In Dietary Sodium And Weight Intervention

September 2018

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21 Reads

Hypertension

Blood pressure (BP) fluctuates due to complex interactions between genetic factors and environmental stimulation. BP variability (BPV) is a physiological phenomenon, as a measure of hemodynamic conditions reflected in the autonomic nervous system. Daily (circadian) rhythms as biological time structures are considered essential parameters for recognizing and treating BP risk factors. Thus, ambulatory BP and heart rate (HR) were monitored (ABPM) in 11 normotensive (NT) in a free living, and 13 borderline hypertensive (BH) adults with Na and weight (WT, Kg) interventions in a freely moving lab environments, around the clock at 30-minute to hourly intervals. In the intervention study, circadian BP, HR, urinary aldosterone (Aldo, μg/h), creatinine (Cr), Na, K in mEq/h and Na/K ratio were compared. Data was analyzed by the linear least square rhythmometry method. All subjects showed significant circadian fluctuations in BP (mm Hg) and HR (beats/min). The circadian response peaked in the noon to late afternoon hours in the NT and in the reference stage of the intervention study. In NT, SBP: 111±2 with variability 14.6% and peak hr at 16:00; DBP: 74.0±1 with variability 16.0% and peak hr at 15:40; and HR: 64.3±2 with peak hr at 16:96 (-254°). In the intervention study with reference (I), Na restriction (II) and weight (WT) reduction (III) stages, SBP: 130±3.7; 130±1.7; 116±1.7 with variability (SBPV), 27.5, 31.4, and 25.4%; peak hrs at 16:26, 13:52; 12:24, respectively; DBP: 85±2.3; 83±2.2; 77±1.9 with variability (DBPV), 21.1, 26.4, 33.5%; peak hrs at 16:15, 18:29, 07:52, respectively; and HR: 64±2.1; 61±2.1; 66±2.3 with HRV, 30.2, 34.6, 28.3%; peak hrs at 15:07; 14:64, 14:55, respectively. Circadian UAldo: 0.63, 0.73, 0.58; UNa: 6.3, 2.9, 3.5; UK: 3.1, 3.1, 2.9; and WT: 89.9, 87.8, 83.2 in I, II, and III study stages, respectively. Thus, BP and HR, and their variabilities are the factors readjusted in the Na and WT reductions, and the peak shifted to earlier hours in the intervention. The variability, in the reference stage already higher than the NT levels, was not favorably changed with Na and WT interventions, although BP was normalized, especially following the WT reduction. Increased or shallow amplitudes may be predictive risk factors of vascular disease.


Figure 1. SYM-H index for a sample space storm. The event that we use for SEA is defined as the time for the zero crossing prior to
Figure 4. Upper row shows normalized SEA results for 27 space storm events for heart rate (HR), systolic blood pressure (SBP), and 
Superposed epoch analysis of physiological fluctuations: possible space weather connections
  • Article
  • Full-text available

October 2017

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461 Reads

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17 Citations

International Journal of Biometeorology

There is a strong connection between space weather and fluctuations in technological systems. Some studies also suggest a statistical connection between space weather and subsequent fluctuations in the physiology of living creatures. This connection, however, has remained controversial and difficult to demonstrate. Here we present support for a response of human physiology to forcing from the explosive onset of the largest of space weather events—space storms. We consider a case study with over 16 years of high temporal resolution measurements of human blood pressure (systolic, diastolic) and heart rate variability to search for associations with space weather. We find no statistically significant change in human blood pressure but a statistically significant drop in heart rate during the main phase of space storms. Our empirical findings shed light on how human physiology may respond to exogenous space weather forcing.

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Figure 1. In view of a large outbreak resulting in influential (outlying) values, the monthly data on malaria incidence in Burundi recorded between 1997 and 2004 are transformed by taking their square root prior to analysis by the extended (linear‐nonlinear) cosinor. Components with periods of about 5.2, 2.3, 1.5, and 1.15 years identified by least squares spectra and validated nonlinearly are included in a model plotted with the data. © Halberg Chronobiology Center.  
Figure 4. Monthly data on the incidence of cerebral malaria in Papua New Guinea are fitted with a model consisting of a linear trend, a 1.0‐year synchronized rhythm, about 11.4‐year and about 2.3‐year components, and a candidate 1.1‐ year near‐transyear. Whereas the contribution of each component to the composite model can be seen by the naked eye, this is not the case for the near‐transyear that only has a very small amplitude. © Halberg Chronobiology Center.  
Figure 5. The yearly data on the percentage of Plasmodium falciparum infections (expressed per 100 malaria positives) in Thailand are fitted with a model consisting of a linear trend and cycles with periods of about 22.7, 15.9, and 8.8 years. © Halberg Chronobiology Center.  
Transyears Competing with the Seasons in Tropical Malaria Incidence

November 2016

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190 Reads

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2 Citations

Communicable and non‐communicable diseases show coperiodisms (shared cycles) with the sun's and earth's magnetism. About 11‐year cycles and components with periods a few weeks or a few months longer than one year (near‐ and far‐transyears, respectively) are the cases in point. Published data on the incidence of malaria in Burundi, Papua New Guinea, and Thailand are analysed by the linear‐nonlinear cosinor to assess the relative prominence of transyears versus the calendar year. An about 2.3‐year component characterizes malaria incidence in Burundi and Papua New Guinea (Thailand data were only sampled yearly). Long‐term trends cannot be distinguished from the presence of an about 11‐year cycle found in a 100‐year long record from Chizhevsky on mortality from cholera in Russia, albeit its second harmonic is statistically significant in Burundi’s data. Whereas far‐ and near‐transyears characterize malaria incidence in Burundi more prominently than the calendar year, only a candidate near‐transyear of small amplitude is barely detected in Papua New Guinea, where the calendar year is most prominently expressed. Both regions are located near the equator. Selectively‐assorted geographic differences such as these, observed herein for a communicable disease, have been previously observed for non‐communicable conditions, such as sudden cardiac death.


Abstract P163: Effects of Erythropoietin and Erythropoietin-receptor Materials in Blood Pressure, Hematocrit and Body- Spleen Weight Variability

September 2016

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7 Reads

Hypertension

Adversity with erythropoietin (Epo) treatment (Epo-Rx) is grim in the cardio-cerebrovascular system. Because circadian rhythmic variability is an important aspect of cardiovascular function, we evaluated circadian blood pressure (BP), hematocrit (Hct), body and spleen weight (BW, SW) variability immediately before and after 4-week, twice-weekly course of Epo-Rx (50 U/kg) along with physiological saline (control), pure human Epo-receptor protein (Epo-bp) and anti-Epo-bp antibody (αEpo-bp) groups at midnight, 4 AM, 8 AM, noon, 4 PM and 8 PM in Sprague-Dawley rats. In our earlier report, Epo-Rx increased BP, Hct and SW markedly overall compared with saline, Epo-bp, and αEpo-bp groups (Hypertension 2007;50:439-45). In this current report, variability (%) of BP, Hct, BW and SW are compared. Epo-bp treated BP Variability (BPV) was lower than others (9.5 vs. 15.5 control and others in similar values). Phase changes were noticed when exposed to Epo (daytime peaks in Epo, Epo+Epo-bp and Epo+αEpo-bp). Hct variability (HctV) in Epo and Epo-bp treated groups shows somewhat lower than in control group (18.3 in C vs. 13.3, 12.9, and 19.4 in Epo, Epo-bp and αEpo-bp, respectively). However, Epo effect was additive to HctV when Epo was added to Epo-bp or αEpo-bp (32.0 and 30.4, respectively). All 5-study groups showed phase changes, although Epo-exposed groups had a much greater magnitude with markedly increased Hct (peak at 19:00 in control and 5 study groups during the daytime through noon-hour peaks). BW variability is similar in each group (except lower BW in the Epo-group) with various peak hours but SW variability (SWV) showed a similar pattern as shown in HctV. Best treatment times for Epo, Epo+Epo-bp and Epo+αEpo-bp were estimated: BP at 4 PM, 4 AM and 4 AM, respectively; Hct at 4 AM and both at midnight, respectively; SW at midnight, 8 PM and noon, respectively. Thus, significantly increased BPV, HctV and SWV in Epo-Rx than those of other groups and extremely increased Hct resulted in splenomegaly.


Chronobiology

January 2016

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60 Reads

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2 Citations

This chapter sketches some of the highlights of chronobiology. In a nutshell, considering time as the fourth dimension in biology amounts to changing variability from foe to friend. Akin to the splitting of the “indivisible” atom, chronobiology indeed splits the otherwise neglected seemingly indivisible range into rhythms and other predictable changes, such as trends and chaotic behavior.


Case Presentations I. Within-Day BP Variations Observed Using 7-Day/24-Hour Ambulatory BP Monitoring

January 2016

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20 Reads

In this chapter, we introduce case presentations of the circadian and circaseptan (i.e., about 7 day) profiles of blood pressure (BP), including “ambulatory BP (ABP) normotension,” “white-coat hypertension,” “BP morning surge,” and “Monday BP surge,” from a viewpoint of 7-day/24-hour ABP monitoring.


From Chronomics to Chronoastrobiology: Many Rhythms Are Control Information for Whatever We Do

January 2016

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32 Reads

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1 Citation

Franz Halberg (1919–2013) developed chronobiology and founded the field of chronomedicine including chronomics, chronoastrobiology, and chronobioethics. His work is summarized in his over 3,600 scientific publications, in cooperation with colleagues from around the world. Progress in chronomedicine depends on how his research developed. Several international meetings have revealed an accumulating body of reference values for well-established about-daily and about-yearly rhythms of photic origin. Evidence was also provided for about-7-day, about-27-day, about-half-yearly, about-10.5 and about-21-yearly, and even about-50-yearly rhythmicities in us as well as around us, as invisible nonphotic heliogeophysical signatures possibly built into individuals and/or populations. In time series, biological or other, the characteristics of rhythms, chaos, and trends can all be quantified as elements of structures, called chronomes. Chronome mapping with outcomes could eventually serve an individualized optimization of lifestyle, for chronoprevention and chronotherapy as well as for inquiries into the evolution and future of life. The historical path of Franz Halberg’s research leading to chronomedicine is presented herein.



Citations (60)


... Like the 11-year (undecennian) or decadal period of the sunspots, they are all reflected in the human circulation ( Figures 11A-11C, pp 80-82). [28][29][30] Whether it is normal or abnormal, neither a 24-hour nor a single 10-or 11-year record can eventually remain the basis of a diagnostic, therapeutic, or etiologic decision. In any case, the need remains for further lifelong C-ABPM and for continued epidemiological data collection and analysis, the purpose of the website. ...

Reference:

Chronobiologically Interpreted Ambulatory Blood Pressure Monitoring in Health and Disease
Preventive Cardiology Concerns aviodance of personal and societal Health- related and natural cataclysms p.33-44

... We give students the opportunity by a step-bystep approach to train the model with real-world time-series data, and using PyTorch's optimization algorithms (e.g., SGD) for training the model. Data will come from several areas of departmental research, including chronobiology [33], mechanical jitter, space engineering [34] [35], earthquakes [36], and signal processing [37]. Throughout this Module students will perform various data processing tasks such as splitting data into training, validation, and test sets, evaluating model performance on the validation and test sets, and exploring overfitting and underfitting issues as they employ common loss functions available in PyTorch (e.g., `nn.CrossEntropyLoss`, `nn.MSELoss`). ...

Superposed epoch analysis of physiological fluctuations: possible space weather connections

International Journal of Biometeorology

... On the other hand, some other studies failed to 100 show a circadian variation of skin blood flow (Aoki et al. 1997(Aoki et al. , 1998Houben et al. 1994 (Panza et al. 1991). Franz Halberg was the first to underline the presence of chronobiology and chronomedicine (Otsuka et al. 2016 Dhadwal et al. 2007;Tan et al. 2009). 115 Dhadwal et al. studied the circadian implications on mortality of coronary bypass graft (CABG) surgery in an emergency setting and reported no significant difference concerning the intervention time. ...

From Chronobiology to Chronomedicine: Early Days
  • Citing Chapter
  • January 2016

... It has been elucidated that external triggers of acute cardiovascular events have an im- portant role in the development of these known as classic risk factors of large data 6 . In this way, recent- ly, there is increasing evidence linking cardiovascu- lar effects of solar and geomagnetic phenomena 5 . ...

Chronoastrobiology
  • Citing Chapter
  • January 2016

... Although the potential association between geomagnetic activity and cardiovascular health is still controversial, some studies (Table 2) suggest that high solar activity increases the occurrence of myocardial infarction (MI) and MI mortality [29][30][31]. It has been hypothesized that the reduction in heart rate variability involved in the development of myocardial infarction can be caused by geomagnetic disturbances [29,[32][33][34][35]. Notably, very low frequency (VLF) and low frequency (LF) rhythms were Strong solar particle events may contribute to myocardial infarction events and HRV modifications. ...

Heart Rate Variability Reflecting the Dynamics of Solar Activity
  • Citing Chapter
  • January 2016

... A significant quantity of publications is devoted to the restoration of solar data according to the indirect characteristics. The analysis of the fractal properties of a number of eleven sequoias annual rings widths is represented in the work [5]. Is noted the isolation of the temporary moments of those coinciding with the Sperer and Maunder minimums of the solar activity. ...

Chronomics of Tree Rings Gauge Climate Change
  • Citing Chapter
  • January 2016

... The overlap of CIs of the periodin two or more time series being compared by the cosinor [5; 6; 8] extended by Marquardt's algorithm [9] is the criterion for congruence. The same comparison also defines similarity and dissimilarity, the latter referred to as acongruence when the periods are separated by more than the length of a τwith its CI, admittedly an International Journal of Biology and Chemistry 13, № 2, 46 (2020) arbitrary definition, to be refined as more data accumulate [10]. The search for congruence and similarity among periods based on CIs realizes that the changes in many physiological and geomagnetic variables are in part aeolian, i.e. nonstationary cycles that wax and wane in amplitude, A, to the point of disappearance and reappearance, that drift in period, sometimes biand trifurcating, and drift in phase, φ. ...

From Chronomics to Chronoastrobiology: Many Rhythms Are Control Information for Whatever We Do
  • Citing Chapter
  • January 2016

... This parasitic disease is caused by apicomplexan protozoan of the genus Plasmodium [2]. The prevalence of malaria is prominent in the tropics and the subtropics [3]. The four species, namely, Plasmodium falciparum, Plasmodium malaria, P. vivax, and Plasmodium ovale, are transmitted in humans by female Anopheles mosquito (vector), which picks the parasites from affected people by biting them to acquire blood needed for nurturing its eggs [4]. ...

Transyears Competing with the Seasons in Tropical Malaria Incidence

... Not everyone's BP fits the same pattern, however. In addition to results from larger studies, we systematically provided elsewhere [5] detailed descriptions of different abnormal presentations of the circadian BP rhythm in a number of case reports. They illustrate that different patients can present with very different 24-h profiles of BP at the time of diagnosis. ...

Chronomics and Continuous Ambulatory Blood Pressure Monitoring: Vascular Chronomics: From 7-Day/24-Hour to Lifelong Monitoring
  • Citing Book
  • January 2016