Genomic and physiological mechanisms of high-altitude adaptation in Ethiopian highlanders: a comparative perspective by Wubalem Desta Seifu, Wubalem Desta Seifu, Abreham Bekele-Alemu, Changqing Zeng

Subjects: “…high-altitude adaptation…”
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Inflammation severity, rather than respiratory failure, is strongly associated with mortality of ARDS patients in high-altitude ICUs by Daniel Molano-Franco, Daniel Molano-Franco, Daniel Molano-Franco, Daniel Molano-Franco, Daniel Molano-Franco, Joan Ramon Masclans Enviz, Joan Ramon Masclans Enviz, Antonio Viruez-Soto, Antonio Viruez-Soto, Antonio Viruez-Soto, Antonio Viruez-Soto, Mario Gomez, Harvey Rojas, Edgar Beltran, Victor Nieto, Fernanda Aliaga-Raduan, Fernanda Aliaga-Raduan, Pablo Iturri, Christian Arias-Reyes, Christian Arias-Reyes, Christian Arias-Reyes, Jorge Soliz, Jorge Soliz

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Altitude adaptation: The unseen work of gut microbiota by Jingling Guo, Runzhou Zhao, Kun Li, Yafang Tan, Likun Wang, Hui Ling, Huan Zhang, Guha Dharmarajan, Yujing Bi, Ruifu Yang

“…This narrative review compiles the latest research on high-altitude adaptation, with a specific focus on the crucial role of gut microbiota in this process. …”
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Signatures of selection and candidate genes for adaptation to extreme environmental factors in the genomes of Turano-Mongolian cattle breeds by N. S. Yudin, A. A. Yurchenko, D. M. Larkin

“…The review examines recent work on the origin and evolution of Turano-Mongolian cattle breeds, adaptation of Turano-Mongolian cattle to extreme environments, and summarizes available information on potential candidate genes for climate adaptation of Turano-Mongolian breeds, including cold resistance genes, immune response genes, and high-altitude adaptation genes. The authors conclude that the current literature data do not provide preference to one of the two possible scenarios of Turano-Mongolian breed origins: as a result of the domestication of a wild aurochs at East Asia or as a result of the migration of taurine proto-population from the Middle East. …”
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Construction and validation of a risk prediction model for high altitude de-acclimatization syndrome by DING Yu, DING Yu, WANG Zejun, WANG Zejun, XIE Jiaxin, XIE Jiaxin

“…Risk prediction models for high-altitude adaptation symptoms were built based on 8 machine learning methods， including multiple factor logistic regression （LR）， decision tree （DT）， random forest （RF）， eXtreme gradient boosting （XGB）， support vector machine （SVM）， K-nearest neighbor （KNN）， light gradient boosting （LGB） and naïve bayes （NB）. …”
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