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1.
J Clin Hypertens (Greenwich) ; 26(6): 696-702, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38641880

ABSTRACT

Sixteen percent of patients referred for cardiology evaluation are found to have no cause for palpitations. Studies show that hypertension intricately influences "heart rate" and "contractility,?" the key components of "palpitation." While the prevalence of hypertension is 22.4% in 18-39-year-olds, the relationship between palpitations and hypertension remains unknown in this age group. In our study, we assessed the incidence and prevalence of hypertension over 5 years in 18-40-year-olds referred for palpitations who had no known arrhythmic cause for palpitations between January 1, 206 and December 31, 2017. We found that over a period of 2.2 (0.7-4.1) years, an additional 56% patients were diagnosed with stage 1 (65/130) and stage 2 (28/130) hypertension, increasing the prevalence from 16% at the start of the study period to 72% at the end of the study period (p < .0001). Hypertensive patients were obese (BMI: 29 [24-36] kg/m2 vs. 25 [22-31] kg/m2; p = .03), used nonsteroidal anti-inflammatory drugs (NSAIDs) (62 vs. 35%; p = .04), had a stronger family history of hypertension (55 vs. 4%; p < .0001) and exhibited higher systolic (124[120-130] mmHg vs. 112[108-115] mmHg; p < .0001) and diastolic (80[76-83] mmHg vs. 72[69-75] mmHg; p < .0001) blood pressures. Hypertension is commonly diagnosed in 18-40-year-old predominantly white female patients referred for palpitations without a known arrhythmic cause. The possibility of untreated hypertension causing palpitations in this cohort needs further evaluation.


Subject(s)
Hypertension , Humans , Hypertension/epidemiology , Hypertension/diagnosis , Hypertension/physiopathology , Hypertension/complications , Female , Prevalence , Adult , Male , Incidence , Adolescent , Young Adult , Arrhythmias, Cardiac/epidemiology , Arrhythmias, Cardiac/diagnosis , Arrhythmias, Cardiac/physiopathology , Heart Rate/physiology , Blood Pressure/physiology , Retrospective Studies , Obesity/epidemiology , Obesity/complications , Obesity/physiopathology
4.
J Comp Neurol ; 524(9): 1859-75, 2016 Jun 15.
Article in English | MEDLINE | ID: mdl-26560074

ABSTRACT

The release of neuromodulators by widely projecting neurons often allows sensory systems to alter how they process information based on the physiological state of an animal. Neuromodulators alter network function by changing the biophysical properties of individual neurons and the synaptic efficacy with which individual neurons communicate. However, most, if not all, sensory networks receive multiple neuromodulatory inputs, and the mechanisms by which sensory networks integrate multiple modulatory inputs are not well understood. Here we characterized the relative glomerular distribution of two extrinsic neuromodulators associated with distinct physiological states, serotonin (5-HT) and dopamine (DA), in the antennal lobe (AL) of the moth Manduca sexta. By using immunocytochemistry and mass dye fills, we characterized the innervation patterns of both 5-HT- and tyrosine hydroxylase-immunoreactive processes relative to each other, to olfactory receptor neurons (ORNs), to projection neurons (PNs), and to several subsets of local interneurons (LNs). 5-HT immunoreactivity had nearly complete overlap with PNs and LNs, yet no overlap with ORNs, suggesting that 5-HT may modulate PNs and LNs directly but not ORNs. TH immunoreactivity overlapped with PNs, LNs, and ORNs, suggesting that dopamine has the potential to modulate all three cell types. Furthermore, the branching density of each neuromodulator differed, with 5-HT exhibiting denser arborizations and TH-ir processes being sparser. Our results suggest that 5-HT and DA extrinsic neurons target partially overlapping glomerular regions, yet DA extends further into the region occupied by ORNs.


Subject(s)
Arthropod Antennae/anatomy & histology , Manduca/anatomy & histology , Nerve Net/physiology , Neurotransmitter Agents/metabolism , Olfactory Receptor Neurons/metabolism , Animals , Dextrans/metabolism , Dopamine/metabolism , Drosophila Proteins/metabolism , Insect Hormones/metabolism , Neuropeptides/metabolism , Serotonin/metabolism , Tachykinins
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