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Ergoline

Ergolines are a class of alkaloids derived from ergot, a fungus that infects rye and other grains.
These compounds have a diverse range of pharmacological effects, including vasoconstriction, stimulation of uterine contraction, and effects on the central nervous system.
Ergolines have been used therapeutically for the treatment of migraine, Parkinson's disease, and other conditions.
PubCompare.ai can help researchers optimize their Ergoline studies by identifying the best methods from published literature, preprints, and patents using AI-driven comparisons to find the most accurate and reproducisble approaches, leading to improved research outcomes.

Most cited protocols related to «Ergoline»

An incremental ramp was performed on a mechanically braked cycle (Ergoselect 4 SN, Ergoline GmbG, Bitz, Germany) with cadence kept between 60–80 rpm. The protocol consisted of a three-minute initial workload of 50 Watts followed by a 1 watt increase every 3.6 s (equivalent to 50 Watts/3 min) until the volunteer’s voluntary exhaustion. Recordings of heart rate (HR) and RR intervals were taken continuously during the exercise test, as well as prior (PRE; after a period of habituation and session preparation) and post (POST) exercise by means of 3-min supine rest condition measurement intervals with two devices at the same time: (1) 12-channel ECG CardioPart 12 Blue (AMEDTEC Medizintechnik Aue GmbH, Germany; sampling rate: 500 Hz; desktop software: AMEDTEC ECGpro version 5.10.002), and (2) Polar H10 sensor chest strap device (Polar Electro Oy, Kempele, Finland; sampling rate: 1000 Hz; app software: Elite HRV App, Version 5.5.1). Placement of the ECG electrodes and chest strap device is pictured in Figure 2.
Breath-by-breath pulmonary gas exchanges were recorded throughout the ramp using a metabolic analyzer (Quark CPET, module A-67-100-02, COSMED Deutschland GmbH, Fridolfing, Germany; desktop software: Omnia version 1.6.5). Prior to testing, the gas analyzers were calibrated according to the manufacturer’s instructions. The protocol was terminated when the participant fell below a cadence of 60 rpm or due to self-determination. The following criteria served for the assumption of exhaustion: (A) heart rate >90% of the maximum predicted heart rate (prediction model according to [20 (link)]: 208 − (0.7 × age) and (B) respiratory quotient > 1.1. Maximum oxygen uptake (VO2max) and maximum HR (HRmax) were defined as the average VO2 and HR over the last 30 s of the test.
Publication 2022
Chest Clostridium perfringens epsilon-toxin Ergoline Exercise Tests Medical Devices Oxygen Pulmonary Gas Exchange Rate, Heart Respiratory Rate Voluntary Workers
Body stature (cm) and body mass (kg) were measured, without shoes. Subjects performed the validation exercise protocol after performing a 5 min warmup (mild pedaling at 50 W) on a stationary cycling ergometer (Ergoline 800 s, Bitz, Germany) and a five min stretching. The Ergoline ergometer was selected, as it maintains steady power production in case that changes in revolutions per min (rpm) are detected. Thus, it was ensured that a constant load was applied at all times. The validation protocol was performed at a constant rate of 60–65 rpm during four exercise intensities (four stages). Each stage lasted for five min, starting from 75W and increasing by 25 W or 50 W according to the subjects perceived fitness, as estimated by the visual inspection of the heart rate response and the Borg Scale score. The intensity levels were classified to reflect relatively light, moderate and vigorous cardiorespiratory demands, according to the American College of Sports Medicine (ACSM) (Garber et al., 2011 (link)). Similar exercise intensity range has been previously selected by others (Rosdahl et al., 2010 (link); Perez-Suarez et al., 2018 (link)). Respiratory variables of VO2, VCO2, RQ and VE were calculated using values from the final minute of each five-min stage. During this timeframe, heart rate coefficient of variation (CV) was measured to be < 5%. Additionally, five 10-s averages were taken for these respiratory values and a CV below 10% was confirmed.
Measurements were made in-line (sequential gas sampling) with the COSMED - Quark CPET (Quark CPET) and PNOE (ENDO Medical, Palo Alto, CA) (Figure 1). The Quark CPET system acted as a reference standard, as it has been shown to be a valid metabolic system in its breath by breath mode (Nieman et al., 2013 (link)). The dead space between the two flow sensors has been quantified and accounted for in the calculations. The sequential in-line set up may provide advantages over repetitive assessment trials on different days since it eliminates the subject's biological day to day variation. The in-line connection of the two systems (Quark CPET and PNOE) was tested at a metabolic simulator (Relitech, Netherlands) prior to this validation study. A metabolic simulator was chosen for this test as it can generate fully reproducible conditions in terms of VE (Rosdahl et al., 2010 (link)). These tests were conducted to make sure that the in-line connection of the flow sensors (from the Quark CPET system and the PNOE system) does not affect ventilation (VE). In particular, the turbine of the Quark CPET system was connected with an adaptor to the MEMS (micro electro mechanical systems) based hot-film anemometer flow sensor of the PNOE system and the setup was tested at the metabolic simulator, in three different settings of simulated breathing frequency (BF = 20, 40, and 60 strokes per minute). VE in the metabolic simulator was set at 1 L throughout the experiments.
Once the in-line connection was tested, a second experiment was conducted with exactly the same procedure (BF = 20, 40, 60 strokes per minute), by mounting the turbine flow sensor of Quark CPET system to the metabolic simulator. The relative error between the in-line connection of the two flow sensors and the turbine of the Quark CPET system was 1.18%. The error of 1.18% lies within the technical specifications of the turbine flow sensor, as reported by the manufacturer (Cosmed, Rome), which is 1.5% when measuring VE.
The same procedure was followed with the PNOE system. VE measured by its standalone flow sensor was compared to the VE obtained from the in-line system. The relative error between the two measurements was 1.15%. Again, this error lies within the technical specification reported by the manufacturer of the PNOE system (ENDO Medical, Palo Alto, CA). These results demonstrate that the in-line connection of the two systems does not affect their operation and it can be used in this validation study. Such protocols have been successfully tested in the past (Prieur et al., 2003 (link)). Calibration of flow was performed with the two systems in line, using multiple pumps of a 3 L calibration syringe. Both devices were calibrated under specific gas concentrations after each measurement.
The reliability of the PNOE device was assessed by measuring gas exchange variables on ten randomly selected participants, on a separate day, at least 2 days after the first measurement. During this second visit, subjects were requested to adhere to similar nutritional habits before the repetition exercise protocol. The same experimental setup was followed in both visits.
Publication 2019
Biopharmaceuticals Body Height Cerebrovascular Accident Clostridium perfringens epsilon-toxin Endometriosis Ergoline Human Body Light Medical Devices Rate, Heart Respiratory Rate Syringes
Participants performed all the experimental trials on the same cycle ergometer (Ergoselect 200, Ergoline, Germany). Immediately following a standardized warm-up of 10 min at 50 W, all participants performed a ramp protocol with increments of 25 W·min-1 until exhaustion. During GXT participants were monitored by standard 12 lead ECG (Quark T12, Cosmed, Italy), Oxygen consumption ( V˙O2 ) and carbon dioxide production ( V˙CO2 ) were recorded using breath-by-breath indirect calorimetry (Quark B2, Cosmed, Italy). Familiarization GXT fulfilled three objectives: a) discard cardiac defects or diseases in any of the participants, b) to minimize the bias of progressive learning on test reliability and c) to discard any participant V˙O2max lower than 55.0 ml·kg-1·min-1.
Both experimental maximal GXT with 15 min warm-up divided in three 5-min steady state stages at 45%, 55%, and 65% of the peak power output (PPO), being the three intensities below the second ventilatory threshold (VT2). After 10 minutes of passive recovery in which each participant ingested 200–250 ml of water to ensure adequate hydration status, a sample of capillary blood from the finger was obtained to assess CBL (Lactate Pro, Arkray, Japan). Following, participants performed the GXT according to a modification of the protocol described by [4 (link)]. Initial workload was set at 50 W, with increments of 25 W·min-1, requiring at all times a cadence between 80–85 rpm.
Heart rate was continuously monitored (RS400, Polar, Finland), gas exchange was recorded breath by breath using indirect calorimetry and capillary blood samples were obtained and analyzed every 2 min (i.e., each 50 W increments). Each participant indicated their rate of perceived exertion every two minutes using the Borg Scale 6–20, where 6 is defined as an effort "very very light" and one 20 "Maximum, strenuous" effort [18 ]. Capillary blood lactate analyzer and indirect calorimetry devices were calibrated before each test. In order to avoid the local acidosis that could impair the attainment of maximum cardiorespiratory performance, and according to the subjects’ maximal PPO in the GXTPRE (i.e., 375-425W), starting at 50 W, the workload was progressively increased by 25 W·min-1 that ensure that testing duration was not excessively long (i.e., 13.5–15.0 min). This protocol also allowed collecting between 7 to 9 capillary blood samples before exhaustion to be used in the CBL data analysis.
Publication 2016
Acidosis BLOOD Calorimetry, Indirect Capillaries Carbon dioxide Electrocardiography, 12-Lead Ergoline Fingers Heart Lactates Light Medical Devices Oxygen Consumption Rate, Heart
The intervention lasted 9 weeks plus 2 days of pre- and post-testing. All athletes (n = 15 cyclists; n = 3 triathletes) engaging in cycling training trained with their own bike and completed all tests on a bicycle ergometer (Ergoline, Ergoselect 100P; Bitz, Germany) using their own cycling shoes and pedal system. Other athletes (n = 16 runners, n = 6 triathletes, n = 8 cross-country skiers) ran during the study and completed their pre- and post-testing on a motorized treadmill (HP Cosmos, Saturn, Traunstein, Germany). All participants were instructed not to change their diet throughout the training period and to maintain strength training, if it was part of their training program. Participants' nutritional intake was not standardized or controlled during the study, but for the 3 h prior to all testing in which food intake was not permitted. The training intensity was controlled by HR based on the baseline incremental test: (i) LOW (HR at blood lactate value <2 mmol·L−1); (ii) LT (HR corresponding to a blood lactate of 3–5 mmol·L−1); (iii) HIGH (>90% HRpeak)]. The HR was measured during each training session and athletes documented training mode, exercise duration, and intensity in a diary. As a control and for detailed analysis, HR for all training sessions was stored digitally and analyzed retrospectively.
Publication 2014
Athletes BLOOD Diet Eating Ergoline Foot Lactate Menstruation Disturbances Nutrient Intake Treadmill Test
All participants visited the UEM laboratory in the morning after an overnight fast. Before testing, they were categorized as physically active or inactive during the prior 6 months [i.e., active = reporting ≥ 150 min/week in moderate-intensity aerobic PA or ≥75 min/week in vigorous-intensity aerobic PA (Bull et al., 2020 (link))]. Patients were also asked on their self-report of the SW phenomenon (i.e., what type of PA or exercise elicits this phenomenon).
All the tests were performed using the same cycle-ergometer (Ergoselect 220 KL; Ergoline GmbH, Bitz, Germany) and metabolic cart (Vmax 29C; Sensormedics Corp., Yorba Linda, CA, United States), with the latter used to record ECG-determined HR values and expired gas data. First, and based on previous data from each participant, the patients pedaled for ∼3–4 min, and we adjusted the workload (watts) with gentle increases starting from 0 watts (i.e., 5 watts/30 s) such as to identify the minimum workload eliciting an HR value of ≥65% of the age-predicted maximum HR (220 min age, in years). Once this “target” workload was identified (usually in ≤3 min), the participants immediately stopped pedaling and rested for 1 h. Thereafter, they performed a “diagnostic” 12-min constant-load test for SW identification at the identified target workload (Vissing and Haller, 2003 (link)). Participants then rested for ∼45 min before they performed a maximum test until exhaustion as detailed elsewhere (Mate-Munoz et al., 2007 (link)). The maximum test was preceded by a 5-min free-wheel pedaling warm-up, after which the workload was increased following a ramp protocol (10 watts/min) until volitional exhaustion (Mate-Munoz et al., 2007 (link)). The VO2peak was determined as the highest VO2 value (20-s average) recorded during the tests, whereas the workload eliciting the VT was visually identified by two independent investigators (or by a third one in case of disagreement) as the workload eliciting an increase in the 20-s average value of the ventilatory equivalent for oxygen (VE/VO2), with no concomitant increase in the ventilatory equivalent for carbon dioxide (VE/VCO2; Mate-Munoz et al., 2007 (link)).
Publication 2021
Carbon dioxide CART protein, human Cattle Ergoline Exercise, Aerobic Oxygen Patients Tests, Diagnostic Volition

Most recents protocols related to «Ergoline»

All participants underwent a graded CPET on a bicycle ergometer (Ergoselect 150P, ergoline GmbH, Bitz, Germany) within 1 week before HIIT. Minute ventilation ( V E) and oxygen consumption ( V O2) were measured breath by breath using a computer-based system (CareFusion MasterScreen CPX, CPX International Inc., Germany). V O2peak was defined as described in the ACSM guidelines for graded CPETs [26 ]. The  oxygen uptake efficiency sloe (OUES) during exercise was determined as described in our previous work [7 (link)]. A noninvasive continuous cardiac output (CO) monitoring system (NICOM, Cheetah Medical, Wilmington, DE, USA) was used to measure peak CO (COex) during CPET. The CPET procedure and determination of cardiorespiratory parameters are detailed in Additional file 2.
Publication 2023
Cardiac Output Cheetahs Clostridium perfringens epsilon-toxin Ergoline Oxygen Oxygen Consumption
We followed the previous protocol [7 (link)] for the hospital-based HIIT program using a bicycle ergometer (Ergoselect 150P, ergoline GmbH, Germany). Briefly, participants exercised at alternating intensities of 3-min intervals of 80% V O2peak and 3-min intervals of 40% V O2peak for 30 min in each session. They were instructed to complete 36 sessions of exercise training with a frequency of 2 to 3 sessions per week.
Publication 2023
Ergoline
For an endurance exercise, we use a spinning class protocol with an average intensity of 63% of the maximum power determined in a graded exercise test until exhaustion. The protocol consisted of a 5 min rest period at the beginning of the measurement as a reference and a 1 h exercise period with 2 × 3 min short drinking breaks. At the beginning and toward the end of the exercise period, the intensity was increased and decreased in steps. Each exercise level was maintained at a constant intensity for 3 min. Fig. 5A shows the intensity profile of the spinning class.
The graded exercise test was performed with each subject at least 2 d apart to the spinning session protocol. The test started with 50 W, and the power was increased by 25 W every 4 min until exhaustion.
All endurance exercises were programmed and run on a cycle ergometer (Ergoline Ergoselect 200, Lode B.V., Netherlands). Four women and four men performed this cycling session during which aerosol particle concentration measurement and respiratory ventilation parameters were assessed.
Both, the graded exercise test and the spinning class session were performed with the aerosol particle measurement system running. By using the same setting, it is possible to check the transferability of the results of the graded exercise test to the practical spinning session.
For this purpose, the respective ventilation and aerosol particle concentration values of the graded exercise test are used according to the power profile of the spinning session, so that a chronological progression can be created.
For the infection risk assessment in a typical gym, also a resistance training study with four women and four men and three different exercises was performed. As in the endurance study, the protocol started with a 5-min resting period as reference. The exercises were leg extensions, biceps curls, and overhead presses. These exercises were selected because they could be performed in the clean air tent, and also the subjects could keep their heads steady and connected to the measurement equipment. For each exercise, three sets with 8 to 10 repetitions were performed. The resistance was adjusted for each exercise and subject to approximately 80% of the 1 RM. Subjects started the sets every 150 s. The individual sets had a duration of approximately 30 s (19 to 42 s). After the third set of each exercise, the break was 4 min long. Fig. 5B shows the exercise protocol.
Due to the short measurement time for these exercise phases (19 to 42 s), the sometimes-low aerosol particle concentration (<80 particles/L), and the counting efficiency of the optical particle counter, it is possible that no particle at all is measured during the exercise phase (19 to 42 s). In these cases, the aerosol particle concentration was set to the resting value.
Publication 2023
Disease Progression Endocytic Vesicles Ergoline Exercise Tests Head Health Risk Assessment Infection Respiratory Rate Woman
The same CPET protocol was used as in our previous published studies [11 (link), 12 (link)]. Briefly, each patient underwent preoperative spirometry, DLCO assessment and CPET. Spirometry (ZAN100 device; nSpire Health, Inc., Longmont, CO, USA) and DLCO assessments (PowerCube Diffusion+ device; Ganshorn Medizin Electronic GmbH, Niederlauer, Germany) were performed in agreement with current ERS standards and technical requirements [13 (link)].
Symptom-limited CPET to volitional fatigue to a rating of perceived exertion of 18 to 20 on the Borg scale was used in each patient on an electronically braked bicycle ergometer (Ergometrics 800®; Ergoline, Bitz, Germany) with an incorporated 12-channel electrocardiography unit (AT-104®; Schiller AG, Baar, Switzerland). The expired gases and volumes were analysed using the PowerCube-Ergo® system (Ganshorn Medizin Electronic GmbH, Niederlauer, Germany). The CPET protocol included a rest phase, warm-up phase and ramp protocol with linearly increasing resistance (15 W·min−1) with 3-min cool-down.
The following parameters were recorded: FEV1, forced vital capacity (FVC), FEV1/FVC (spirometry), DLCO, VO2, carbon dioxide output (VCO2), tidal volume (VT), breathing frequency (fb), minute ventilation (VE), PETCO2, dead space ventilation to tidal volume ratio (VD/VT), respiratory exchange ratio (RER), VE/VCO2 ratio and VE/VCO2 slope (calculated up to peak exercise).
Publication 2023
Carbon dioxide Diffusion Electrocardiography Ergoline Fatigue Forced Vital Capacity Gases Medical Devices Patients Respiratory Rate Spirometry Tidal Volume Volition
HAL (Sigma-Aldrich, St. Louis, MO) was diluted with 0.05% dimethyl sulfoxide (DMSO; Dojindo Laboratories, Japan) in sterile saline (vehicle). The drug is a traditional antipsychotic agent used primarily to treat schizophrenia and other psychoses (Gomes et al. 2013 (link); Vaz et al. 2018 (link); Magno et al. 2015 (link); Bruni et al. 2016 (link)) by relieving the symptoms of delusions and hallucinations commonly associated with schizophrenia. Haloperidol competitively blocks post-synaptic dopamine D2 receptors, eliminating dopamine neurotransmission while partially inhibiting 5-hydroxy-tryptamine (5-HT2) and α1-receptors. However, there is negligible activation of dopamine D1-receptors (Seibt et al. 2010 (link)).
CBD (Cayman Chemical, Ann Arbor, MI) was diluted with 0.05% methanol and sterile saline. CBD, one of the major compounds present in the marijuana (C. sativa) plant, has some medicinal properties; however, its mechanism is not well known (Andreza et al. 2016 (link); Jeong et al. 2019 (link)).
Ropinirole hydrochloride (ROP; KYOWA Pharmaceutical Industry Co., Ltd, Osaka, Japan) was diluted with 0.05% dimethyl sulfoxide (DMSO; Dojindo Laboratories, Kumamoto, Japan) and sterile saline. The drug is a novel non-ergoline dopamine agonist, has selective affinity for dopamine D2 receptors, and is indicated for the treatment of early and advanced Parkinson’s disease (Pahwa et al. 2004 (link)).
Publication 2023
Antipsychotic Agents Caimans Cannabis Delusions Dopamine Dopamine Agonists Dopamine D1 Receptor Dopamine D2 Receptor Ergoline Hallucinations Haloperidol Methanol Pharmaceutical Preparations Plants Psychotic Disorders ropinirole hydrochloride Saline Solution Schizophrenia Serotonin Sterility, Reproductive Sulfoxide, Dimethyl Synaptic Transmission

Top products related to «Ergoline»

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The Ergoline 800s is a piece of laboratory equipment designed for the administration of ergometry tests. It provides a controlled environment for monitoring an individual's physiological responses during physical exercise. The core function of the Ergoline 800s is to measure and record data related to cardiovascular performance, metabolic processes, and other relevant metrics during the testing procedure.
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The Quark CPET is a lab equipment product that provides cardiopulmonary exercise testing (CPET) functionality. It is designed to measure and analyze respiratory and metabolic parameters during physical exercise.
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The Ergocard is a piece of lab equipment designed for cardiopulmonary exercise testing. It is used to measure and analyze various physiological parameters during exercise, such as heart rate, oxygen consumption, and carbon dioxide production.
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The MetaMax 3B is a portable metabolic measurement system designed for respiratory gas analysis. It features a lightweight, ergonomic design and provides real-time data on oxygen consumption, carbon dioxide production, and respiratory exchange ratio.
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The MasterScreen CPX is a respiratory diagnostic device designed for pulmonary function testing. It measures various lung function parameters, including forced expiratory volume, vital capacity, and airway resistance.
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The Vmax 229 is a laboratory instrument designed for quantitative spectroscopic analysis. It provides precise measurements of absorbance, transmittance, and fluorescence in various sample types. The core function of the Vmax 229 is to perform accurate and reliable spectroscopic analyses in a variety of research and testing applications.
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The Vmax Series V20-1 is a laboratory equipment product. It is a compact, benchtop instrument designed for performing various analytical tasks in a laboratory setting. The Vmax Series V20-1 provides essential functionalities to support laboratory operations, but a detailed description cannot be provided while maintaining an unbiased and factual approach.

More about "Ergoline"

Ergolines are a class of alkaloids derived from the fungus Claviceps purpurea, which infects rye and other grains.
These compounds, also known as ergot alkaloids, have a wide range of pharmacological effects, including vasoconstriction, stimulation of uterine contraction, and effects on the central nervous system.
Ergolines have been used therapeutically for the treatment of migraines, Parkinson's disease, and other conditions.
Researchers studying ergolines can optimize their research with the help of tools like PubCompare.ai.
This AI-driven platform can identify the best methods and protocols from published literature, preprints, and patents, allowing researchers to find the most accurate and reproducible approaches.
This can lead to improved research outcomes and a better understanding of the pharmacological properties and potential therapeutic applications of ergolines.
Relevant equipment and devices that may be used in ergoline research include the Ergoline 800s exercise testing system, the Quark CPET cardiopulmonary exercise testing system, the Ergocard cardiopulmonary exercise testing system, the MetaMax 3B and Metalyzer 3B metabolic measurement systems, the MasterScreen CPX cardiopulmonary exercise testing system, the Vmax 229 and Encore229 Vmax metabolic measurement systems, and the TrueOne 2400 metabolic measurement system.
These tools can provide valuable data and insights to support ergoline research and development.