Skip to content
#generative ai Open access

The effect of acute respiratory alkalosis on anaerobic performance: a systematic review

Sep 2026 · BMC Sports Science Medicine and Rehabilitation
Renal function and acid-base balance

Abstract

High-intensity short-duration exercise relies predominantly on anaerobic metabolism, leading to rapid accumulation of hydrogen ions and metabolic acidosis, which impairs muscle function and performance. Acute respiratory alkalosis induced by voluntary hyperventilation (VH) has been proposed as a simple, non-pharmacological strategy to modulate acid-base balance and potentially enhance anaerobic performance. This systematic review aimed to evaluate the effects of VH-induced respiratory alkalosis on anaerobic performance outcomes and to explore potential underlying mechanisms. A systematic search of PubMed, Scopus, EBSCO and Web of Science databases identified 21 eligible studies involving healthy and trained participants. Overall, the findings were inconsistent. While some studies reported improvements in peak power output, mean power output, repeated sprint performance, or work capacity, others found no significant benefit or even slight impairments. Proposed mechanisms include elevated extracellular pH, accelerated phosphocreatine (PCr) resynthesis, facilitated H⁺ efflux, and altered substrate utilization. However, these effects appear highly context-dependent, varying according to VH protocol (duration, timing, and PetCO₂ level), exercise modality, and participant training status. In conclusion, VH-induced acute respiratory alkalosis shows promise as a potential ergogenic aid for certain high-intensity short-duration activities, but its efficacy remains variable. Future research should focus on standardizing protocols and elucidating the precise physiological mechanisms through advanced measurement techniques. Proposed mechanistic pathway linking voluntary hyperventilation-induced respiratory alkalosis to anaerobic performance. The scientific content and mechanisms were developed and verified by the authors based on the cited literature. The figure was created using the generative AI tool Grok as a graphical design aid.

View source

Similar papers

#artificial intelligence Conference Open access Apr 2020

ECCOLA - a Method for Implementing Ethically Aligned AI Systems

The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 64 citations · ⚡6
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 62 citations · ⚡3
#computer vision Open access Mar 2024

LLM-based agents for automating the enhancement of user story quality: An early report

The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.

Zheying Zhang, M. Rayhan, Tomas Herda et al. · 48 citations · ⚡4
#computer vision Review Mar 2024

System for systematic literature review using multiple AI agents: Concept and an empirical evaluation

This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.

Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al. · 44 citations · ⚡2
#computer vision Feb 2024

Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis

The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.

Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al. · 41 citations

Related blog posts

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.