Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Chronopharmacokinetics: Circadian Rhythms and Influence on Drug Response01:15

Chronopharmacokinetics: Circadian Rhythms and Influence on Drug Response

311
Circadian rhythms are cyclic changes that are crucial in plasma drug concentrations. Various standard circadian parameters, including core body temperature, heart rate, and other cardiovascular factors, directly impact disease states and the therapeutic response to drug therapy.
The time of drug administration is an important factor to consider, as it can influence the toxic dose of a drug. For example, a study conducted by Prins et al. in 1997 examined the effects of the timing of...
311
Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations01:19

Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations

314
The pathophysiology of Acute Coronary Syndrome [ACD] involves several key processes:The main underlying cause of ACD is atherosclerosis, a chronic inflammatory disease characterized by the buildup of lipid-laden plaques within the coronary arteries.As the atherosclerotic plaque grows in the coronary artery, it may become unstable due to the formation of a lipid-rich core and a thin fibrous cap. Inflammatory cells within the plaque, such as macrophages, secrete enzymes that degrade the...
314
Asthma: Pathogenesis and Management01:20

Asthma: Pathogenesis and Management

1.1K
Asthma is a chronic pulmonary condition involving inflammation of the airways, hyper-reactivity, and reversible obstruction of the airways. This condition can significantly impact a person's quality of life, making breathing difficult and leading to distressing symptoms.
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
1.1K
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

165
Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
165
Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

4.0K
Asthma is a prevalent chronic respiratory condition marked by inflammation and hyperresponsiveness of the airways. Its pathophysiology involves complex interactions among inflammatory pathways, immune responses, and neural mechanisms.
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
4.0K
Chronic Obstructive Pulmonary Disease-II: Pathophysiology01:20

Chronic Obstructive Pulmonary Disease-II: Pathophysiology

4.1K
Chronic Obstructive Pulmonary Disease (COPD) pathophysiology is intricate and multifaceted, involving a complex interplay of physiological processes. Understanding these mechanisms is crucial for effectively managing and treating COPD. Here is an in-depth look at the critical elements in the pathophysiology of COPD:
Chronic Inflammation
4.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effects of a clinical metagenomics intervention on clinical outcomes, healthcare costs, and health-related quality of life in patients with sepsis or septic shock: results of the randomized-controlled DigiSep trial.

Intensive care medicine·2026
Same author

Disturbed metabolic adaptation drives natural killer cell dysfunction in association with nosocomial infection during human sepsis.

EBioMedicine·2026
Same author

Soluble triggering receptor expressed on myeloid cells-1 as a predictive biomarker in sepsis: insights into cut-offs, mortality risk, and treatment guidance-secondary analysis of the Next GeneSiS-Trial.

Critical care (London, England)·2026
Same author

Quantification of Heterogeneous Semi-Structured Patient-Reported Physical Activities Derived from a Diabetes Telehealth Service.

Studies in health technology and informatics·2025
Same author

Validation of the Polar Fitness Test for Estimation of Maximal Oxygen Consumption at Rest in Medically Supervised Exercise Training: Comparison with CPET and the 6-Minute Walk Test.

Sensors (Basel, Switzerland)·2025
Same author

Feasibility of the aktivplan Digital Health Intervention for Regular Physical Activity Following Phase II Rehabilitation: Protocol for a Mixed Method Randomized Controlled Pilot Study (ACTIVE-CaRe Pilot).

JMIR research protocols·2025

Related Experiment Video

Updated: Jan 2, 2026

A Preclinical Model of Exertional Heat Stroke in Mice
08:22

A Preclinical Model of Exertional Heat Stroke in Mice

Published on: July 1, 2021

4.2K

Acute mountain sickness: Do different time courses point to different pathophysiological mechanisms?

Marc M Berger1,2, Mahdi Sareban3, Peter Bärtsch4

  • 1Department of Anesthesiology, Perioperative and General Critical Care Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.

Journal of Applied Physiology (Bethesda, Md. : 1985)
|December 13, 2019
PubMed
Summary

Acute mountain sickness (AMS) presents with varied symptom timelines. Researchers identified three distinct patterns (Type I, II, III) in AMS symptom onset and duration, suggesting different underlying causes.

Keywords:
AMSaltitude illnesshigh altitudehypoxiakinetic

More Related Videos

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.9K
Non-invasive Assessments of Subjective and Objective Recovery Characteristics Following an Exhaustive Jump Protocol
08:21

Non-invasive Assessments of Subjective and Objective Recovery Characteristics Following an Exhaustive Jump Protocol

Published on: June 8, 2017

8.0K

Related Experiment Videos

Last Updated: Jan 2, 2026

A Preclinical Model of Exertional Heat Stroke in Mice
08:22

A Preclinical Model of Exertional Heat Stroke in Mice

Published on: July 1, 2021

4.2K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.9K
Non-invasive Assessments of Subjective and Objective Recovery Characteristics Following an Exhaustive Jump Protocol
08:21

Non-invasive Assessments of Subjective and Objective Recovery Characteristics Following an Exhaustive Jump Protocol

Published on: June 8, 2017

8.0K

Area of Science:

  • Altitude sickness research
  • Human physiology at high altitudes

Background:

  • Acute mountain sickness (AMS) affects nonacclimatized individuals rapidly ascending to altitudes above 2,500 m.
  • AMS symptoms include headache, nausea, dizziness, and fatigue, typically peaking after the first night at altitude.

Purpose of the Study:

  • To analyze the temporal patterns of AMS symptom severity.
  • To hypothesize that distinct pathophysiological mechanisms underlie different AMS time courses.

Main Methods:

  • Analysis of individual AMS symptom time courses from four field studies at 3,450 m and 4,559 m.
  • Categorization of AMS symptom peaks into Day 1, Day 2, and Day 3.

Main Results:

  • Three distinct AMS symptom time courses were identified: Type I (peak Day 1, 41%), Type II (peak Day 2, 39%), and Type III (peak Day 3, 20%).
  • These patterns were observed in individuals with AMS-C scores >0.70.

Conclusions:

  • The identified AMS time courses (Type I, II, III) suggest varying pathophysiological mechanisms.
  • This hypothesis may explain the lack of consistent correlations between overall AMS assessments and specific pathophysiological factors in previous research.