Rosario Ignazio Statello

Dr. Rosario Ignazio Statello


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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LCLuca Carnevali
Luca Carnevali
RSRosario Ignazio Statello
Rosario Ignazio Statello
ASAndrea Sgoifo
Andrea Sgoifo
The electrical stability of the myocardium is dependent on the dynamic balance between sympathetic and parasympathetic influences on the heart, which is reflected by heart rate variability (HRV). Reduced HRV is a proposed predictor of sudden death caused by ventricular tachyarrhythmias in cardiac patients. However, the link between individual differences in HRV and ventricular tachyarrhythmic risk in populations without known pre-existing cardiac conditions is less well explored. In this study we investigated the extent to which individual differences in resting state HRV predict susceptibility to spontaneous and pharmacologically-induced ventricular arrhythmias in healthy rats. Radiotelemetric transmitters were implanted in 42 adult male Wild-type Groningen rats. ECG signals were recorded during 24-h resting conditions and under β-adrenoceptor pharmacological stimulation with isoproterenol and analyzed by means of time- and frequency-domain indexes of HRV. No significant association was found between individual differences in resting measures of HRV and spontaneous incidence of ventricular arrhythmias. However, lower resting values of HRV predicted a higher number of ventricular ectopic beats following β-adrenergic pharmacological stimulation with isoproterenol (0.02 mg/kg). Moreover, after isoproterenol administration, one rat with low resting HRV developed sustained ventricular tachycardia that led to death. The present results might be indicative of the potential utility of HRV measures of resting cardiac autonomic function for the prediction of ventricular arrhythmias, particularly during conditions of strong sympathetic activation, in populations without known cardiac disease.

27 August 2019 in Microorganisms
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WMWalter Mancino
Walter Mancino
SDSabrina Duranti
Sabrina Duranti
LMLeonardo Mancabelli
Leonardo Mancabelli
GLGiulia Longhi
Giulia Longhi
RARosaria Anzalone
Rosaria Anzalone
FTFrancesca Turroni
Francesca Turroni
Bifidobacteria commonly constitute the most abundant group of microorganisms in the healthy infant gut. Their intestinal establishment is believed to be maternally driven, and their acquisition has even been postulated to occur during pregnancy. In the current study, we evaluated bifidobacterial mother-to infant transmission events in a rat model by means of quantitative PCR (qPCR), as well as by Internally Transcribed Spacer (ITS) bifidobacterial profiling. The occurrence of strains supplied by mothers during pregnancy to their corresponding newborns was observed and identified by analysis immediately following C-section delivery. These findings provide intriguing support for the existence of an unknown route to facilitate bifidobacterial transfer during the very early stages of life.

1 December 2021 in Neurophysiologie Clinique
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RSRosario Ignazio Statello
Rosario Ignazio Statello
LCLuca Carnevali
Luca Carnevali
ASAndrea Sgoifo
Andrea Sgoifo
MMMichele Miragoli
Michele Miragoli
FPFrancesco Pisani
Francesco Pisani

6 April 2023 in Pflügers Archiv - European Journal of Physiology
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Journal Article
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Rossi StefanoRossi Stefano
Rossi Stefano
RSRosario Ignazio Statello
Rosario Ignazio Statello
GPGiovanna Pelà
Giovanna Pelà
FLFabio Leonardi
Fabio Leonardi
ACAderville Cabassi
Aderville Cabassi
EMEmilio Macchi
Emilio Macchi

31 March 2023 in Biology
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RSRosario Ignazio Statello
Rosario Ignazio Statello
Rossi StefanoRossi Stefano
Rossi Stefano
FPFrancesco Pisani
Francesco Pisani
MBMatteo Bonzini
Matteo Bonzini
Roberta AndreoliRoberta Andreoli
Roberta Andreoli
MMMichele Miragoli
Michele Miragoli
Obstructive sleep apnea (OSA) can have long-term cardiovascular and metabolic effects. The identification of OSA-related impairments would provide diagnostic and prognostic value. Heart rate variability (HRV) as a measure of cardiac autonomic regulation is a promising candidate marker of OSA and OSA-related conditions. We took advantage of the Physionet Apnea-ECG database for two purposes. First, we performed time- and frequency-domain analysis of nocturnal HRV on each recording of this database to evaluate the cardiac autonomic regulation in patients with nighttime sleep breathing disorders. Second, we conducted a logistic regression analysis (backward stepwise) to identify the HRV indices able to predict the apnea–hypopnea index (AHI) categories (i.e., “Severe OSA”, AHI ≥ 30; “Moderate-Mild OSA”, 5 ≥ AHI < 30; and “Normal”, AHI < 5). Compared to the “Normal”, the “Severe OSA” group showed lower high-frequency power in normalized units (HFnu) and higher low-frequency power in normalized units (LFnu). The standard deviation of normal R–R intervals (SDNN) and the root mean square of successive R–R interval differences (RMSSD) were independently associated with sleep-disordered breathing. Our findings suggest altered cardiac autonomic regulation with a reduced parasympathetic component in OSA patients and suggest a role of nighttime HRV in the characterization and identification of sleep breathing disorders.

10 November 2022 in Neurophysiologie Clinique
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Journal Article
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FPFrancesco Pisani
Francesco Pisani
RSRosario Ignazio Statello
Rosario Ignazio Statello
GPGiuseppe Pedrazzi
Giuseppe Pedrazzi
MMMichele Miragoli
Michele Miragoli
BPBenedetta Piccolo
Benedetta Piccolo
ETEmanuela Turco
Emanuela Turco