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Record W3205447966 · doi:10.1113/ep090070

Exercise is medicine for chronic mountain sickness

2021· letter· en· W3205447966 on OpenAlexaff
André L. Teixeira, J. Lang

Bibliographic record

VenueExperimental Physiology · 2021
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPhlebotomyMedicineEffects of high altitude on humansBloodlettingIncidence (geometry)Altitude sicknessPhysical therapyPhysiologyInternal medicinePathology

Abstract

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It is estimated that > 80 million people live above 2,500 m a.s.l. worldwide (Tremblay & Ainslie, 2021). Chronic exposure to low levels of oxygen causes several physiological adaptations and has been an active area of investigation for well over 100 years. However, ∼5–10% of individuals living at high altitude develop chronic mountain sickness (CMS), a syndrome characterized by hypoxaemia, excessive erythrocytosis and increased blood viscosity, which has several adverse neurological and cerebrovascular consequences (León-Velarde et al. 2005; Villafuerte & Corante, 2016). The incidence of CMS increases with elevation and with advancing age, with as many as one-third of older Andeans exhibiting CMS (Monge et al. 1989). Current treatments for CMS include therapeutic phlebotomy (bloodletting) and descent to lower altitudes. Phlebotomy has been shown to reduce haematocrit, improve oxygenation and, subsequently, to ameliorate CMS symptoms. Nonetheless, these improvements appear to be transient, receding a few weeks after the treatment (Villafuerte & Corante, 2016). In addition, the invasive nature of phlebotomy and the fact that it can also cause iron deficiency and induce pulmonary hypertension make it a difficult long-term treatment. Likewise, descent to lower altitudes or sea level is impractical for to social and economic reasons and is also not a permanent solution, because the CMS symptoms reappear after returning to a high altitude (León-Velarde et al. 2005; Villafuerte & Corante, 2016). A low-cost, non-invasive and non-pharmacological treatment for patients with CMS is currently unavailable. Regular physical exercise provides numerous physiological benefits, not only in healthy individuals, but also in a variety of clinical conditions. A previous report has demonstrated that native Andean athletes possess lower haematocrits than their sedentary counterparts (Cornolo et al. 2005). In this scenario, it is reasonable to speculate that exercise training could be beneficial for patients with CMS. Nevertheless, to date, the impact of exercise training on patients with CMS has not been studied. To fill this knowledge gap, in this issue of Experimental Physiology, Macarlupú et al. (2021) sought to determine the effects of moderate-intensity aerobic exercise training on markers of CMS in native Andean highlanders. Eight male participants diagnosed with CMS (pretraining haematocrit of ∼71%) performed 60 min of moderate-intensity cycling exercise (60% of peak oxygen uptake) 4 days per week for 8 weeks. The primary outcomes were the haematocrit and CMS signs and symptoms (Qinghai CMS questionnaire). Secondary outcomes included 24 h ambulatory blood pressure monitoring, in addition to blood levels of glucose, insulin, cholesterol and erythropoietin. Measurements were performed before and 4 and 8 weeks after exercise training. As expected, 8 weeks of moderate-intensity aerobic exercise increased the peak oxygen uptake by ∼10%, showing the effectiveness of the training protocol. In addition, exercise training decreased the haematocrit and CMS score, and these responses were already apparent after 4 weeks of training. The haematocrit decreased progressively by 5% and 7% and the CMS score decreased by ∼46% and ∼40% at weeks 4 and 8 of exercise training, respectively. In contrast, exercise training did not change 24 h blood pressure or resting glycaemia, insulinaemia, erythropoietin or lipid profile, with the exception of increased high-density lipoprotein–cholesterol after 8 weeks of exercise training. Collectively, these findings demonstrated that moderate-intensity aerobic exercise training can reduce haematocrit and alleviate symptoms of CMS in native Andean highlanders, providing the first evidence that exercise training might be used as a non-pharmacological therapy for CMS. It is important to consider that because the experiments were performed in young male Andeans, the impact of exercise training on female and/or older patients with CMS requires further investigation. In addition, Macarlupú et al. (2021) studied residents of Cerro de Pasco, Peru (4,340 m). Given that the prevalence and severity of CMS increase with elevation (León-Velarde et al. 2005; Villafuerte & Corante, 2016), the extent to which exercise training is effective in different highlander populations remains unknown. Furthermore, it is well accepted that different exercise intensities, frequencies and modalities (i.e., continuous aerobic, high-intensity interval training and resistance training) can induce different physiological responses and adaptations. Hence, future studies are required to determine the effects of different exercise training programmes in patients with CMS. Another open question is the impact of detraining on these patients. Do the haematocrit and CMS symptoms return to pretraining values after detraining? How long do the beneficial effects of 8 weeks of moderate-intensity aerobic training last? Notably, the mechanisms by which moderate-intensity aerobic training reduce haematocrit and CMS symptoms in native highlanders remain largely unknown. In conclusion, Macarlupú et al. (2021) are to be commended on performing a challenging training study in a unique clinical population. The authors not only advanced our current understanding on the beneficial effects of exercise training in patients with CMS, but also created new key research questions that broadly impact and determine the extent to which exercise training is medicine for patients with CMS. None declared.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.317
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.290
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2021
Admission routes1
Has abstractyes

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