CHRONOTYPE AND MELATONIN PATTERNS IN PATIENTS WITH NOCTURNAL HY-PERTENSION

Objective: Nocturnal blood pressure (BP) is recognised as an important predictor of cardiovascular risk as it has been consistently associated with an increased risk of cardiovascular complications. Circadian rhythms play a role in night-time BP variations and it has been hypothesised that altered chronotype and reduced melatonin secretion could be in part responsible of the deranged diurnal BP profile in patients with nocturnal hypertension. We aimed to comprehensively assess both subjectively and objectively the chronotype of patients with and without nocturnal hypertension.Design and method: Design and Methods: we recruited treated and untreated adult patients with hypertension that under-went ambulatory blood pressure monitoring with a validated device. Patients were then divided ac-cording to the presence of nocturnal hypertension. Chronotypes were estimated both subjectively through Morningness-Eveningness Questionnaire (MEQ) and objectively by collecting saliva samples for melatonin measurement. To compare saliva melatonin secretion pat-terns, we aligned each of the five saliva samples according to the temporal relationship to the first sa-liva sample before dim light melatonin onset (DLMO). Results: Results: 119 patients were included in the study. The main characteristics are summarised as follows: age 59 [54-67] years, 45 (38%) females, BMI was 28.08 (5.13) kg/m2. A total of 61 patients had nocturnal hypertension (SBP 121.5 [112.92-126.44] and DBP 74.52 [71.72-78.67] mmhg) and 58 patients had normal nocturnal BP (SBP 103.15 [99.5-107.6] and DBP 65.12 [61.93-67.63] mmhg, p<0.001). The two subgroups did not differ in age, gender and BMI. No differences were seen with regards to total MEQ score or MEQ derived chronotype although in patients with nocturnal hypertension there was a greater prevalence of MEQ score class intermediate type. (Table 1) In a subgroup of patients with complete melatonin measurement (n=25), although DLMO did not differ there was a tendency towards a lower 1-hour AUC in patients with nocturnal hypertension (28.63 [20.54-32.42] vs 32.56 [30.57-40.48], p=0.07) Conclusions: Conclusions: hypertensive patients with nocturnal hypertension do not exhibit significant differences with regards to chronotype. However, in a subset of patients, lower melatonin production was seen in patients with nocturnal hypertension which deserves further investigation.

Authors

Institutions

Publication Details

Journal
Journal of Hypertension
Published
2025-05-01
DOI
https://doi.org/10.1097/01.hjh.0001117328.55184.18
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CHRONOTYPE AND MELATONIN PATTERNS IN PATIENTS WITH NOCTURNAL HY-PERTENSION

Gianfranco Parati, Martino F. Pengo, Grzegorz Bilo, Antonella Zambon et al.
Journal of Hypertension
Cardiovascular Health and Disease Prevention
article

CHRONOTYPE AND MELATONIN PATTERNS IN PATIENTS WITH NOCTURNAL HY-PERTENSION

Gianfranco Parati, Martino F. Pengo, Grzegorz Bilo, Antonella Zambon, Stefania Cattaldo, Davide Soranna, Elisa Prina, Alessandro Croce, Riccardo Cremascoli, Carolina Lombardi, E. De Nardin, Enrico Gianfranceschi
article en

Abstract

Objective: Nocturnal blood pressure (BP) is recognised as an important predictor of cardiovascular risk as it has been consistently associated with an increased risk of cardiovascular complications. Circadian rhythms play a role in night-time BP variations and it has been hypothesised that altered chronotype and reduced melatonin secretion could be in part responsible of the deranged diurnal BP profile in patients with nocturnal hypertension. We aimed to comprehensively assess both subjectively and objectively the chronotype of patients with and without nocturnal hypertension.Design and method: Design and Methods: we recruited treated and untreated adult patients with hypertension that under-went ambulatory blood pressure monitoring with a validated device. Patients were then divided ac-cording to the presence of nocturnal hypertension. Chronotypes were estimated both subjectively through Morningness-Eveningness Questionnaire (MEQ) and objectively by collecting saliva samples for melatonin measurement. To compare saliva melatonin secretion pat-terns, we aligned each of the five saliva samples according to the temporal relationship to the first sa-liva sample before dim light melatonin onset (DLMO). Results: Results: 119 patients were included in the study. The main characteristics are summarised as follows: age 59 [54-67] years, 45 (38%) females, BMI was 28.08 (5.13) kg/m2. A total of 61 patients had nocturnal hypertension (SBP 121.5 [112.92-126.44] and DBP 74.52 [71.72-78.67] mmhg) and 58 patients had normal nocturnal BP (SBP 103.15 [99.5-107.6] and DBP 65.12 [61.93-67.63] mmhg, p<0.001). The two subgroups did not differ in age, gender and BMI. No differences were seen with regards to total MEQ score or MEQ derived chronotype although in patients with nocturnal hypertension there was a greater prevalence of MEQ score class intermediate type. (Table 1) In a subgroup of patients with complete melatonin measurement (n=25), although DLMO did not differ there was a tendency towards a lower 1-hour AUC in patients with nocturnal hypertension (28.63 [20.54-32.42] vs 32.56 [30.57-40.48], p=0.07) Conclusions: Conclusions: hypertensive patients with nocturnal hypertension do not exhibit significant differences with regards to chronotype. However, in a subset of patients, lower melatonin production was seen in patients with nocturnal hypertension which deserves further investigation.

Journal of HypertensionVol. 43(Suppl 1)
IRCCS Istituto Auxologico Italiano (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), University of Milano-Bicocca (IT)
Openalex Percentile: Top 80%
Cardiovascular Health and Disease Prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.