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Vinnikov D, Saktapov A, Romanova Z, Ualiyeva A, Krasotski V. Work at high altitude and non-fatal cardiovascular disease associated with unfitness to work: Prospective cohort observation. PLoS One 2024; 19:e0306046. [PMID: 38976716 PMCID: PMC11230562 DOI: 10.1371/journal.pone.0306046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 06/10/2024] [Indexed: 07/10/2024] Open
Abstract
INTRODUCTION Mining at high altitude exposes workers to hypoxic environment and cold climate in addition to conventional hazards in mining, but very little is known on how to define fitness to work in prospective candidates with pre-existing conditions. The aim of the current study was to define the incidence of cardiovascular diseases leading to unfitness to work as well as their predictors in a prospective observation. METHODS A total of 569 prospective employees (median age 34 (interquartile range (IQR) 28;40) years, 95% men 85% mid-altitude residents) for a high-altitude gold mine in Kyrgyzstan operating at 3800-4500 meters above sea level were screened at pre-employment in 2009-2012 and followed by January 2022. Cox regression was used to quantify the association of baseline demographics and physiological variables with newly diagnosed cardiovascular diseases (CVD) leading to unfitness to work, expressed as hazard ratios (HRs) with 95% confidence intervals (CI). RESULTS With 5190 person-years of observation, 155 (27%) workers have left work, of whom 23 had a newly identified CVD leading to unfitness to work (cumulative incidence 4%) with no difference between drivers and other occupations, despite greater blood pressure and body mass index (BMI) in the former at baseline. Age (HR 1.13 (95% CI 1.06;1.22) and BMI (HR 1.18 (95% CI 1.04;1.34)) were associated with a greater chance of having CVD, adjusted for lung function, baseline diagnoses, year of employment and baseline blood pressure. Narrowing the analysis to only men, drivers, smokers and even middle-altitude residents did not change the effect. CONCLUSION These findings confirmed high efficacy of pre-employment screening limiting access of workers with advanced conditions to work which later yielded low CVD incidence. In addition to conventional contraindications to work at high altitude, age and high BMI should be considered when a decision is made.
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Affiliation(s)
- Denis Vinnikov
- Occupational Health Risks Lab, Peoples’ Friendship University of Russia (RUDN University), Moscow, Russian Federation
- Environmental Health Science Lab, al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Akylbek Saktapov
- Department of Epidemiology, Biostatistics and Evidence-Based Medicine, al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Zhanna Romanova
- Department of Epidemiology, Biostatistics and Evidence-Based Medicine, al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Aliya Ualiyeva
- Department of Epidemiology, Biostatistics and Evidence-Based Medicine, al-Farabi Kazakh National University, Almaty, Kazakhstan
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Lv J, Qi P, Yan X, Bai L, Zhang L. Structure and Metabolic Characteristics of Intestinal Microbiota in Tibetan and Han Populations of Qinghai-Tibet Plateau and Associated Influencing Factors. Microorganisms 2023; 11:2655. [PMID: 38004668 PMCID: PMC10672793 DOI: 10.3390/microorganisms11112655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/22/2023] [Accepted: 10/25/2023] [Indexed: 11/26/2023] Open
Abstract
Residents of the Qinghai-Tibet Plateau might experience shifts in their gut microbiota composition as a result of the plateau environment. For example, high altitudes can increase the abundance of obligate anaerobic bacteria, decrease the number of aerobic bacteria and facultative anaerobic bacteria, increase probiotics, and decrease pathogenic bacteria. This study aimed to determine the structure and metabolic differences in intestinal microbial communities among the Tibetan and Han populations on the Qinghai-Xizang Plateau and shed light on the factors that influence the abundance of the microbial communities in the gut. The structural characteristics of intestinal microorganisms were detected from blood and fecal samples using 16S rRNA sequencing. Metabolic characteristics were detected using gas chromatography-time-of-flight mass spectrometry (GC-TOFMS). The influencing factors were analyzed using Spearman's correlation analysis. Bacteroides and Bifidobacterium were dominant in the intestinal tract of the Han population, while Bacteroides and Prevotella were dominant in that of the Tibetan population, with marked differences in Pseudomonas, Prevotella, and other genera. Ferulic acid and 4-methylcatechol were the main differential metabolites between the Tibetan and Han ethnic groups. This may be the reason for the different adaptability of Tibetan and Han nationalities to the plateau. Alanine aminotransferase and uric acid also have a high correlation with different bacteria and metabolites, which may play a role. These results reveal notable disparities in the compositions and metabolic characteristics of gut microbial communities in the Tibetan and Han people residing on the Qinghai-Tibet Plateau and may provide insights regarding the mechanism of plateau adaptability.
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Affiliation(s)
- Jin Lv
- The First Clinical Medical College, Lanzhou University, Lanzhou 730000, China; (J.L.); (P.Q.); (X.Y.); (L.B.)
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730000, China
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Ping Qi
- The First Clinical Medical College, Lanzhou University, Lanzhou 730000, China; (J.L.); (P.Q.); (X.Y.); (L.B.)
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730000, China
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Xiangdong Yan
- The First Clinical Medical College, Lanzhou University, Lanzhou 730000, China; (J.L.); (P.Q.); (X.Y.); (L.B.)
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730000, China
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Liuhui Bai
- The First Clinical Medical College, Lanzhou University, Lanzhou 730000, China; (J.L.); (P.Q.); (X.Y.); (L.B.)
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730000, China
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Lei Zhang
- The First Clinical Medical College, Lanzhou University, Lanzhou 730000, China; (J.L.); (P.Q.); (X.Y.); (L.B.)
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730000, China
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, The First Hospital of Lanzhou University, Lanzhou 730000, China
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Dauda B, Molina SJ, Allen DS, Fuentes A, Ghosh N, Mauro M, Neale BM, Panofsky A, Sohail M, Zhang SR, Lewis ACF. Ancestry: How researchers use it and what they mean by it. Front Genet 2023; 14:1044555. [PMID: 36755575 PMCID: PMC9900027 DOI: 10.3389/fgene.2023.1044555] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/10/2023] [Indexed: 01/24/2023] Open
Abstract
Background: Ancestry is often viewed as a more objective and less objectionable population descriptor than race or ethnicity. Perhaps reflecting this, usage of the term "ancestry" is rapidly growing in genetics research, with ancestry groups referenced in many situations. The appropriate usage of population descriptors in genetics research is an ongoing source of debate. Sound normative guidance should rest on an empirical understanding of current usage; in the case of ancestry, questions about how researchers use the concept, and what they mean by it, remain unanswered. Methods: Systematic literature analysis of 205 articles at least tangentially related to human health from diverse disciplines that use the concept of ancestry, and semi-structured interviews with 44 lead authors of some of those articles. Results: Ancestry is relied on to structure research questions and key methodological approaches. Yet researchers struggle to define it, and/or offer diverse definitions. For some ancestry is a genetic concept, but for many-including geneticists-ancestry is only tangentially related to genetics. For some interviewees, ancestry is explicitly equated to ethnicity; for others it is explicitly distanced from it. Ancestry is operationalized using multiple data types (including genetic variation and self-reported identities), though for a large fraction of articles (26%) it is impossible to tell which data types were used. Across the literature and interviews there is no consistent understanding of how ancestry relates to genetic concepts (including genetic ancestry and population structure), nor how these genetic concepts relate to each other. Beyond this conceptual confusion, practices related to summarizing patterns of genetic variation often rest on uninterrogated conventions. Continental labels are by far the most common type of label applied to ancestry groups. We observed many instances of slippage between reference to ancestry groups and racial groups. Conclusion: Ancestry is in practice a highly ambiguous concept, and far from an objective counterpart to race or ethnicity. It is not uniquely a "biological" construct, and it does not represent a "safe haven" for researchers seeking to avoid evoking race or ethnicity in their work. Distinguishing genetic ancestry from ancestry more broadly will be a necessary part of providing conceptual clarity.
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Affiliation(s)
- Bege Dauda
- Center for Global Genomics and Health Equity, University of Pennsylvania, Philadelphia, PA, United States
| | - Santiago J. Molina
- Department of Sociology, Northwestern University, Evanston, IL, United States
| | - Danielle S. Allen
- Edmond & Lily Safra Center for Ethics, Harvard University, Cambridge, MA, United States
| | - Agustin Fuentes
- Department of Anthropology, Princeton University, Princeton, NJ, United States
| | - Nayanika Ghosh
- Department of the History of Science, Harvard University, Cambridge, MA, United States
| | - Madelyn Mauro
- Edmond & Lily Safra Center for Ethics, Harvard University, Cambridge, MA, United States
| | - Benjamin M. Neale
- Broad Institute of Harvard and MIT, Cambridge, MA, United States
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, United States
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Aaron Panofsky
- Institute for Society & Genetics, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Public Policy, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Sociology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Mashaal Sohail
- Centro de Ciencias Genomicas (CCG), Universidad Nacional Autonoma de Mexico (UNAM), Cuernavaca, Morelos, Mexico
| | - Sarah R. Zhang
- University of California, Berkeley, Berkeley, CA, United States
| | - Anna C. F. Lewis
- Edmond & Lily Safra Center for Ethics, Harvard University, Cambridge, MA, United States
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, United States
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Zhang L, Zhang R, Zhang F, Yin X, Liu Y, Guo Y, Sun P. Comparison of Cardiorespiratory Fitness of Chinese Tibetan Adolescents with Their Han Counterparts: A Cross-Sectional Retrospective Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16526. [PMID: 36554405 PMCID: PMC9779579 DOI: 10.3390/ijerph192416526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 12/04/2022] [Accepted: 12/07/2022] [Indexed: 06/17/2023]
Abstract
Cardiorespiratory fitness (CRF) is a core element of healthy physical fitness. Foreign attention to CRF in adolescents at different altitudes is high, while less research has been conducted on Chinese adolescents. In order to compare the CRF of Chinese Tibetan adolescents with their Han counterparts born and raised at high altitude and Chinese Han adolescents at sea level. A total of 2748 participants, including Chinese Tibetan adolescents, Chinese Han adolescents born and raised at high altitudes, and Chinese Han adolescents at sea level aged 12-18 years old, were obtained using convenience sampling and random cluster sampling. The method of the 20 m shuttle run test (20 m SRT) test was used to derive VO2max by equation. One-way ANOVA and LSD methods were conducted, and effect sizes were calculated to compare the CRF of the three types of adolescents. Regression analysis was used to analyze the relationship between altitude and VO2max. The VO2max scores of Chinese Tibetan adolescents and Chinese Han adolescents at sea level were higher than Chinese Han adolescents born and raised at high altitudes. For both boys and girls, the VO2max scores of Chinese Tibetan adolescents exceeded Chinese Han adolescents at sea level after the age of 16 years old. Regression analysis showed that altitude was inversely associated with VO2max. The pace of lung growth may distinguish Chinese Tibetan adolescents from Chinese Han adolescents born and raised at high altitudes. The results of the study suggest that we should focus on the changes in CRF in adolescents at different altitudes and should adopt different CRF interventions for adolescents at different altitudes.
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Affiliation(s)
- Li Zhang
- Department of Physical Education, China University of Mining and Technology, Beijing 100083, China
| | - Ruming Zhang
- Department of Physical Education, China University of Mining and Technology, Beijing 100083, China
| | - Feng Zhang
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai 200241, China
- College of Physical Education and Health, East China Normal University, Shanghai 200241, China
| | - Xiaojian Yin
- College of Economics and Management, Shanghai Institute of Technology, Shanghai 201418, China
| | - Yuan Liu
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai 200241, China
- College of Physical Education and Health, East China Normal University, Shanghai 200241, China
| | - Yaru Guo
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai 200241, China
- College of Physical Education and Health, East China Normal University, Shanghai 200241, China
| | - Pengwei Sun
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai 200241, China
- College of Physical Education and Health, East China Normal University, Shanghai 200241, China
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Lv J, Qi P, Bai LH, Yan XD, Zhang L. Review of the relationship and underlying mechanisms between the Qinghai-Tibet plateau and host intestinal flora. Front Microbiol 2022; 13:1055632. [PMID: 36523840 PMCID: PMC9745141 DOI: 10.3389/fmicb.2022.1055632] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 11/07/2022] [Indexed: 12/01/2023] Open
Abstract
The intestinal microbial community is the largest ecosystem in the human body, in which the intestinal flora plays a dominant role and has a wide range of biological functions. However, it is vulnerable to a variety of factors, and exposure to extreme environments at high altitudes, as seen on the Qinghai-Tibet plateau, may cause changes in the structure and function of the host intestinal flora. Conversely, the intestinal flora can help the host adapt to the plateau environment through a variety of ways. Herein, we review the relationship and underlying mechanism between the host intestinal flora and the plateau environment by discussing the characteristics of the plateau environment, its influence on the intestinal flora, and the important role of the intestinal flora in host adaptation to the plateau environment. This review aimed to provide a reference for maintaining the health of the plateau population.
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Affiliation(s)
- Jin Lv
- The First Clinical Medical College, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, China
| | - Ping Qi
- The First Clinical Medical College, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, China
| | - Liu-Hui Bai
- The First Clinical Medical College, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, China
| | - Xiang-Dong Yan
- The First Clinical Medical College, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, China
| | - Lei Zhang
- The First Clinical Medical College, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
- Key Laboratory of Biotherapy and Regenerative Medicine of Gansu Province, The First Hospital of Lanzhou University, Lanzhou, China
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Quncuo C, Liang Y, Li Q, She X, Cuo BM, Qiongda B, ChuTso M, Sun Y. High Prevalence of Nutritional Risk Among Pulmonary Patients Living on the Tibetan Plateau. Front Nutr 2022; 9:872457. [PMID: 35619955 PMCID: PMC9127964 DOI: 10.3389/fnut.2022.872457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 04/19/2022] [Indexed: 11/17/2022] Open
Abstract
Background Nutritional risk is associated with adverse clinical outcomes and is more prevalent among pulmonology patients than among patients in other departments. High-altitude environments can affect patients with chronic respiratory diseases, but evidence of the prevalence of nutritional risk among hospitalized patients with respiratory diseases in high-altitude areas is limited. This study aimed to investigate the nutritional risk and status of inpatients with different major respiratory diagnoses permanently living on the Tibetan Plateau (≥3,000 m above sea level). Methods In this cross-sectional study, we consecutively recruited inpatients admitted to the Department of Respiratory and Critical Care Medicine at the Tibet Autonomous Region People's Hospital of Lhasa between November 2020 and May 2021. We used the Nutrition Risk Screening (NRS) 2002 tool to assess nutritional risk among these patients. An NRS 2002 score ≥3 points indicates nutritional risk; a score ≥5 indicates high nutritional risk. According to NRS-2002 scores, patients were divided into three groups (NRS-2002 0–2, 3–4, and ≥5). The differences in age, sex, major respiratory diagnoses, comorbidities, body mass index, and laboratory findings among the groups were analyzed. Results A total of 289 eligible Tibetan patients were enrolled in the study, and 46.1% (133/246) of them were at nutritional risk (NRS-2002 score ≥3). Twenty-one (7.3%) patients were at high nutritional risk (NRS-2002 score ≥5). The proportions of patients at nutritional risk were relatively high among patients with lung cancer (58.8%), interstitial lung disease (58.3%), pulmonary embolism (52.9%), and tuberculosis (50.0%). Laboratory findings showed that patients with NRS-2002 scores of 3–4 and ≥5 had lower red blood cell counts, serum albumin and hemoglobin levels, and higher C-reactive protein (CRP) levels than those with NRS-2002 scores < 3. Conclusion The prevalence of nutritional risk was high among pulmonology department inpatients permanently living on the Tibetan Plateau. Patients with lung cancer, interstitial lung disease, pulmonary embolism or tuberculosis were more likely to have nutritional risk than patients with other diagnoses. The nutritional risk of inpatients in the respiratory department in the plateau area should not be ignored, and patients at high nutritional risk should receive timely intervention.
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Affiliation(s)
- Chilie Quncuo
- Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People's Hospital, Lhasa, China
| | - Ying Liang
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Qiuyu Li
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Xiaoli She
- Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People's Hospital, Lhasa, China
| | - Bian Ma Cuo
- Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People's Hospital, Lhasa, China
| | - Bianba Qiongda
- Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People's Hospital, Lhasa, China
| | - Meilang ChuTso
- Department of Respiratory and Critical Care Medicine, Tibet Autonomous Region People's Hospital, Lhasa, China
| | - Yongchang Sun
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
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Ortiz-Prado E, Encalada S, Mosquera J, Simbaña-Rivera K, Gomez-Barreno L, Duta D, Ochoa I, Izquierdo-Condoy JS, Vasconez E, Burgos G, Calvopiña M, Viscor G. A comparative analysis of lung function and spirometry parameters in genotype-controlled natives living at low and high altitude. BMC Pulm Med 2022; 22:100. [PMID: 35313848 PMCID: PMC8939107 DOI: 10.1186/s12890-022-01889-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 02/25/2022] [Indexed: 12/15/2022] Open
Abstract
Background The reference values for lung function are associated to anatomical and lung morphology parameters, but anthropometry it is not the only influencing factor: altitude and genetics are two important agents affecting respiratory physiology. Altitude and its influence on respiratory function has been studied independently of genetics, considering early and long-term acclimatization. Objective The objective of this study is to evaluate lung function through a spirometry study in autochthonous Kichwas permanently living at low and high-altitude. Methodology A cross-sectional study of spirometry differences between genetically matched lowland Kichwas from Limoncocha (230 m) at Amazonian basin and high-altitude Kichwas from Oyacachi (3180 m) in Andean highlands. The sample size estimates permitted to recruited 118 patients (40 men and 78 women) from Limoncocha and 95 (39 men and 56 women) from Oyacachi. Chi-square method was used to analyze association or independence of categorical variables, while Student’s t test was applied to comparison of means within quantitative variables. ANOVA, or in the case that the variables didn’t meet the criteria of normality, Kruskal Wallis test were used to compare more than two groups. Results The FVC and the FEV1 were significantly greater among highlanders than lowlanders (p value < 0.001), with a proportion difference of 15.2% for men and 8.5% for women. The FEV1/FVC was significantly higher among lowlanders than highlanders for men and women. A restrictive pattern was found in 12.9% of the participants. Conclusion Residents of Oyacachi had greater FVC and FEV1 than their peers from Limoncocha, a finding physiologically plausible according to published literature. Lung size and greater ventilatory capacities could be an adaptive mechanism developed by the highlander in response to hypoxia. Our results support the fact that this difference in FVC and FEV1 is a compensatory mechanism towards lower barometric and alveolar partial pressure of oxygen pressure.
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Affiliation(s)
- Esteban Ortiz-Prado
- One Health Research Group, Faculty of Medicine, Universidad de las Américas, Calle de los Colimes y Avenida De los Granados, 170137, Quito, Ecuador. .,Department of Cell Biology, Physiology and Immunology, Universidad de Barcelona, Barcelona, Spain.
| | - Sebastián Encalada
- One Health Research Group, Faculty of Medicine, Universidad de las Américas, Calle de los Colimes y Avenida De los Granados, 170137, Quito, Ecuador
| | - Johanna Mosquera
- One Health Research Group, Faculty of Medicine, Universidad de las Américas, Calle de los Colimes y Avenida De los Granados, 170137, Quito, Ecuador
| | - Katherine Simbaña-Rivera
- One Health Research Group, Faculty of Medicine, Universidad de las Américas, Calle de los Colimes y Avenida De los Granados, 170137, Quito, Ecuador
| | - Lenin Gomez-Barreno
- One Health Research Group, Faculty of Medicine, Universidad de las Américas, Calle de los Colimes y Avenida De los Granados, 170137, Quito, Ecuador
| | - Diego Duta
- Limoncocha Community Health Unit, Limoncocha, Ecuador
| | - Israel Ochoa
- Oyacachi Community Health Unit, Oyacachi, Ecuador
| | - Juan S Izquierdo-Condoy
- One Health Research Group, Faculty of Medicine, Universidad de las Américas, Calle de los Colimes y Avenida De los Granados, 170137, Quito, Ecuador
| | - Eduardo Vasconez
- One Health Research Group, Faculty of Medicine, Universidad de las Américas, Calle de los Colimes y Avenida De los Granados, 170137, Quito, Ecuador
| | - German Burgos
- Faculty of Medicine, Universidad de las Américas, Quito, Ecuador
| | - Manuel Calvopiña
- One Health Research Group, Faculty of Medicine, Universidad de las Américas, Calle de los Colimes y Avenida De los Granados, 170137, Quito, Ecuador
| | - Ginés Viscor
- Department of Cell Biology, Physiology and Immunology, Universidad de Barcelona, Barcelona, Spain
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Ruff CB, Junno JA, Burgess ML, Canington SL, Harper C, Mudakikwa A, McFarlin SC. Body proportions and environmental adaptation in gorillas. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2022; 177:501-529. [PMID: 36787793 DOI: 10.1002/ajpa.24443] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 07/22/2021] [Accepted: 10/19/2021] [Indexed: 11/07/2022]
Abstract
OBJECTIVES Limb length and trunk proportions are determined in a large, taxonomically and environmentally diverse sample of gorillas and related to variation in locomotion, climate, altitude, and diet. MATERIALS AND METHODS The sample includes 299 gorilla skeletons, 115 of which are infants and juveniles, distributed between western lowland (G. gorilla gorilla), low and high elevation grauer (G. beringei graueri), and Virunga mountain gorillas (G. b. beringei). Limb bone and vertebral column lengths scaled to body mass are compared between subgroups by age group. RESULTS All G. beringei have relatively short 3rd metapodials and manual proximal phalanges compared to G. gorilla, and this difference is apparent in infancy. All G. beringei also have shortened total limb lengths relative to either body mass or vertebral column length, although patterns of variation in individual skeletal elements are more complex, and infants do not display the same patterns as adults. Mountain gorillas have relatively long clavicles, present in infancy, and a relatively long thoracic (but not lumbosacral) vertebral column. DISCUSSION A variety of environmental factors likely contributed to observed patterns of morphological variation among extant gorillas. We interpret the short hand and foot bones of all G. beringei as genetic adaptations to greater terrestriality in the last common ancestor of G. beringei; variation in other limb lengths to climatic adaptation, both genetic and developmental; and the larger thorax of G. b. beringei to adaptation to reduced oxygen pressure at high altitudes, again as a product of both genetic differences and environmental influences during development.
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Affiliation(s)
- Christopher B Ruff
- Center for Functional Anatomy and Evolution, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - M Loring Burgess
- Peabody Museum of Archaeology and Ethnology, Harvard University, Cambridge, Massachusetts, USA
| | - Stephanie L Canington
- Center for Functional Anatomy and Evolution, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Christine Harper
- Department of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, New Jersey, USA
| | - Antoine Mudakikwa
- Rwanda Development Board, Department of Tourism and Conservation, Kigali, Rwanda
| | - Shannon C McFarlin
- Department of Anthropology, Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, District of Columbia, USA.,Human Origins Program, Smithsonian's National Museum of Natural History, Washington, District of Columbia, USA
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Tan L, Li T, Luo L, Xue X, Lei F, Ren R, Zhang Y, He J, Bloch KE, Tang X. The Characteristics of Sleep Apnea in Tibetans and Han Long-Term High Altitude Residents. Nat Sci Sleep 2022; 14:1533-1544. [PMID: 36072275 PMCID: PMC9444001 DOI: 10.2147/nss.s371388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/23/2022] [Indexed: 11/29/2022] Open
Abstract
PURPOSE Obstructive sleep apnea (OSA) is common both at low and high altitude. Since adaptations to high altitude and respiratory control may differ among Tibetans and Hans, we compared characteristics of sleep-disordered breathing in the two ethnic groups at high altitude. MATERIALS AND METHODS This was a prospective observational study including 86 Tibetan and Han long-term (>5 years) high altitude residents with chief complaints of snoring and/or witnessed apnea underwent clinical evaluation and polysomnography at 3200 meters in Shangri-La, China. RESULTS In 42 Tibetans, 38 men, median (quartiles) age was 50.0 (41.0; 56.0)y, total apnea/hypopnea index (AHI) 53.9 (32.0; 77.5)/h, obstructive AHI 51.0 (28.0; 72.2)/h and central AHI 1.5 (0.2; 3.1)/h. In 44 Hans, 32 men, median (quartiles) age was 47.0 (43.5; 51.0)y, total AHI 22.2 (12.8; 39.2)/h, obstructive AHI 17.7 (12.0; 33.0)/h and central AHI 2.4 (0.5; 3.4)/h (p < 0.001 total and obstructive AHI vs Tibetans). In Tibetans, mean nocturnal oxygen saturation was lower [median 85.0 (83.0; 88.0)% vs 88.5 (87.0; 90.0)%] and obstructive apnea and hypopnea duration was longer [22.0 (19.6; 24.8) sec vs 18.3 (16.7; 20.6) sec] than in Hans (all p < 0.001). In regression analysis, Tibetan ethnicity, neck circumference and high-altitude living duration were the predictors of total AHI. We also found that with every 10/h increase in total AHI, there were an approximately 0.9 beat/min and 0.8 beat/min increase in mean heart rate during rapid eye movement (REM) and non-REM sleep and 1.9 mmHg and 2.0 mmHg increase in evening and morning systolic blood pressure. CONCLUSION Our data suggest that Tibetans presented more severe obstructive sleep apnea, hypoxemia and longer apnea duration compared to Hans at 3200 meters, which was correlated with higher heart rate and blood pressure suggesting a greater cardiovascular risk.
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Affiliation(s)
- Lu Tan
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Taomei Li
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Lian Luo
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Xiaofang Xue
- Department of Emergency, Diqing Tibetan Autonomous Prefectural People's Hospital, Shangri-La, People's Republic of China.,Department of Intensive Care Unit, Diqing Tibetan Autonomous Prefectural People's Hospital, Shangri-La, People's Republic of China
| | - Fei Lei
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Rong Ren
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Ye Zhang
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Jiaming He
- Department of Emergency, Diqing Tibetan Autonomous Prefectural People's Hospital, Shangri-La, People's Republic of China.,Department of Intensive Care Unit, Diqing Tibetan Autonomous Prefectural People's Hospital, Shangri-La, People's Republic of China
| | - Konrad E Bloch
- Department of Respiratory Medicine, Sleep Disorders Center, University Hospital of Zurich, Zurich, Switzerland
| | - Xiangdong Tang
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China.,Mental Health Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China.,Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.,State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, People's Republic of China
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10
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André M, Brucato N, Plutniak S, Kariwiga J, Muke J, Morez A, Leavesley M, Mondal M, Ricaut FX. Phenotypic differences between highlanders and lowlanders in Papua New Guinea. PLoS One 2021; 16:e0253921. [PMID: 34288918 PMCID: PMC8294550 DOI: 10.1371/journal.pone.0253921] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 06/16/2021] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES Altitude is one of the most demanding environmental pressures for human populations. Highlanders from Asia, America and Africa have been shown to exhibit different biological adaptations, but Oceanian populations remain understudied [Woolcock et al., 1972; Cotes et al., 1974; Senn et al., 2010]. We tested the hypothesis that highlanders phenotypically differ from lowlanders in Papua New Guinea, as a result of inhabiting the highest mountains in Oceania for at least 20,000 years. MATERIALS AND METHODS We collected data for 13 different phenotypes related to altitude for 162 Papua New Guineans living at high altitude (Mont Wilhelm, 2,300-2,700 m above sea level (a.s.l.) and low altitude (Daru, <100m a.s.l.). Multilinear regressions were performed to detect differences between highlanders and lowlanders for phenotypic measurements related to body proportions, pulmonary function, and the circulatory system. RESULTS Six phenotypes were significantly different between Papua New Guinean highlanders and lowlanders. Highlanders show shorter height (p-value = 0.001), smaller waist circumference (p-value = 0.002), larger Forced Vital Capacity (FVC) (p-value = 0.008), larger maximal (p-value = 3.20e -4) and minimal chest depth (p-value = 2.37e -5) and higher haemoglobin concentration (p-value = 3.36e -4). DISCUSSION Our study reports specific phenotypes in Papua New Guinean highlanders potentially related to altitude adaptation. Similar to other human groups adapted to high altitude, the evolutionary history of Papua New Guineans appears to have also followed an adaptive biological strategy for altitude.
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Affiliation(s)
- Mathilde André
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Tartumaa, Estonia
| | - Nicolas Brucato
- Laboratoire Évolution and Diversité Biologique (EDB UMR5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, Toulouse, France
| | - Sébastien Plutniak
- Laboratoire Travaux et Recherches Archéologiques sur les Cultures, les Espaces et les Sociétés (TRACES, UMR 5608), Université Toulouse Jean Jaurès, Maison de la Recherche, Toulouse, France
| | - Jason Kariwiga
- Strand of Anthropology, Sociology and Archaeology, School of Humanities & Social Sciences, University of Papua New Guinea, National Capital District, Papua New Guinea
- School of Social Science, University of Queensland, Australia, St Lucia, Australia
| | - John Muke
- Social Research Institute Ltd, Port Moresby, Papua New Guinea
| | - Adeline Morez
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Matthew Leavesley
- Strand of Anthropology, Sociology and Archaeology, School of Humanities & Social Sciences, University of Papua New Guinea, National Capital District, Papua New Guinea
- ARC Centre of Excellence for Australian Biodiversity and Heritage, College of Arts, Society and Education, James Cook University, Cairns, Australia
| | - Mayukh Mondal
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Tartumaa, Estonia
| | - François-Xavier Ricaut
- Laboratoire Évolution and Diversité Biologique (EDB UMR5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, Toulouse, France
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11
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Talaminos-Barroso A, Roa-Romero LM, Ortega-Ruiz F, Cejudo-Ramos P, Márquez-Martín E, Reina-Tosina J. Effects of genetics and altitude on lung function. CLINICAL RESPIRATORY JOURNAL 2020; 15:247-256. [PMID: 33112470 DOI: 10.1111/crj.13300] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 09/11/2020] [Accepted: 10/23/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The aim of this work is to present a review on the impact of genetics and altitude on lung function from classic and recent studies. DATA SOURCE A systematic search has been carried out in different databases of scientific studies, using keywords related to lung volumes, spirometry, altitude and genetics. RESULTS The results of this work have been structured into three parts. First, the relationship between genes and lung function. Next, a review of the genetic predispositions related to respiratory adaptation of people who inhabit high-altitude regions for millennia. Finally, temporary effects and long-term acclimatisation on respiratory physiology at high altitude are presented. CONCLUSIONS The works focused on the influence of genetics and altitude on lung function are currently of interest in terms of studying the interactions between genetic, epigenetic and environmental factors in the configuration of the pathophysiological adaptation patterns.
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Affiliation(s)
| | | | - Francisco Ortega-Ruiz
- Medical-Surgical Unit of Respiratory Diseases, University Hospital Virgen del Rocio, Seville, Spain.,Spanish Networking Center on Biomedical Research, Area of Respiratory Diseases (CIBERES), Madrid, Spain
| | - Pilar Cejudo-Ramos
- Medical-Surgical Unit of Respiratory Diseases, University Hospital Virgen del Rocio, Seville, Spain.,Spanish Networking Center on Biomedical Research, Area of Respiratory Diseases (CIBERES), Madrid, Spain
| | - Eduardo Márquez-Martín
- Medical-Surgical Unit of Respiratory Diseases, University Hospital Virgen del Rocio, Seville, Spain
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12
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Xin J, Zhang H, He Y, Duren Z, Bai C, Chen L, Luo X, Yan DS, Zhang C, Zhu X, Yuan Q, Feng Z, Cui C, Qi X, Ouzhuluobu, Wong WH, Wang Y, Su B. Chromatin accessibility landscape and regulatory network of high-altitude hypoxia adaptation. Nat Commun 2020; 11:4928. [PMID: 33004791 PMCID: PMC7529806 DOI: 10.1038/s41467-020-18638-8] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 09/03/2020] [Indexed: 12/27/2022] Open
Abstract
High-altitude adaptation of Tibetans represents a remarkable case of natural selection during recent human evolution. Previous genome-wide scans found many non-coding variants under selection, suggesting a pressing need to understand the functional role of non-coding regulatory elements (REs). Here, we generate time courses of paired ATAC-seq and RNA-seq data on cultured HUVECs under hypoxic and normoxic conditions. We further develop a variant interpretation methodology (vPECA) to identify active selected REs (ASREs) and associated regulatory network. We discover three causal SNPs of EPAS1, the key adaptive gene for Tibetans. These SNPs decrease the accessibility of ASREs with weakened binding strength of relevant TFs, and cooperatively down-regulate EPAS1 expression. We further construct the downstream network of EPAS1, elucidating its roles in hypoxic response and angiogenesis. Collectively, we provide a systematic approach to interpret phenotype-associated noncoding variants in proper cell types and relevant dynamic conditions, to model their impact on gene regulation.
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Affiliation(s)
- Jingxue Xin
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China
- CEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223, Kunming, China
- Bio-X Program, Stanford University, Stanford, CA, 94305, USA
- University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Hui Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223, Kunming, China
| | - Yaoxi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223, Kunming, China
- University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Zhana Duren
- Departments of Statistics, Stanford University, Stanford, CA, 94305, USA
- Center for Human Genetics and Department of Genetics and Biochemistry, Clemson University, Greenwood, SC, 29646, USA
| | - Caijuan Bai
- High Altitude Medical Research Center, School of Medicine, Tibetan University, 850000, Lhasa, China
| | - Lang Chen
- CEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Xin Luo
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223, Kunming, China
- University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Dong-Sheng Yan
- School of Mathematical Science, Inner Mongolia University, 010021, Huhhot, China
| | - Chaoyu Zhang
- CEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Xiang Zhu
- Departments of Statistics, Stanford University, Stanford, CA, 94305, USA
| | - Qiuyue Yuan
- CEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Zhanying Feng
- CEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Chaoying Cui
- High Altitude Medical Research Center, School of Medicine, Tibetan University, 850000, Lhasa, China
| | - Xuebin Qi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223, Kunming, China
| | - Ouzhuluobu
- High Altitude Medical Research Center, School of Medicine, Tibetan University, 850000, Lhasa, China
| | - Wing Hung Wong
- Bio-X Program, Stanford University, Stanford, CA, 94305, USA.
- Departments of Statistics, Stanford University, Stanford, CA, 94305, USA.
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, 94305, USA.
| | - Yong Wang
- CEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223, Kunming, China.
- University of Chinese Academy of Sciences, 100101, Beijing, China.
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 330106, Hangzhou, China.
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223, Kunming, China.
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13
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Sulaiman X, Xu WF, Cai LH, Huang XY, Cheng LF, Zhang YP. Hematologic and spirometric characteristics of Tajik and Kyrgyz highlanders in the Pamir Mountains. Am J Hum Biol 2020; 33:e23459. [PMID: 32643228 DOI: 10.1002/ajhb.23459] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 06/01/2020] [Accepted: 06/02/2020] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVES In this study, we measured the hematologic and spirometric parameters of native Tajik and Kyrgyz highlanders in the Pamir Mountains to investigate adaptations to high altitude stressors. METHODS Hematological parameters including arterial oxygen saturation (SaO2 ), red blood cell (RBC) counts, and hemoglobin (Hb) concentration were measured on Sarikoli Tajik (n = 80; 3100 m), Wakhi Tajik (n = 48; 3500 m), and Kyrgyz (n = 64; 3250 m) in comparison to lowland Uyghurs (n = 50; 1300 m). Spirometric parameters including forced vital capacity (FVC), the first second of forced expiration (FEV1), and forced expiratory flow between 25% and 75% (FEF25-75) were measured. We also reported mountain sickness symptoms in these highlanders and conducted a multivariate regression analysis to analyze the association between these symptoms and the measured parameters. RESULTS SaO2 of Sarikoli Tajik, Wakhi Tajik, and Kyrgyz (91%-93.5%) are significantly lower than lowland Uyghurs, yet are comparable to other native highlanders at a similar altitude. RBC counts and Hb concentrations of all three highland populations are significantly increased compared to Uyghurs. FVC is lower in Sarikoli Tajik, Wakhi Tajik, and Kyrgyz (male: 3.48-3.86 L, female: 2.47-2.78 L) compared to Uyghurs. Combined with normal FEV1, elevated FEV1/FVC ratio, and FEF25-75, the spirometric patterns of these highlanders indicate restrictive lung disease. A high prevalence of mountain sickness symptoms such as headache and nausea was found in all three highland populations, and are attributed to low FVC and aging by regression analysis. CONCLUSION Tajik and Kyrgyz highlanders showed adaptation in SaO2 , RBC, and Hb level, but poor performance in spirometry, which causes mountain sickness.
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Affiliation(s)
- Xierzhatijiang Sulaiman
- Department of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Wei-Fang Xu
- Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
| | | | - Xiao-Yang Huang
- The People's Hospital of Shawan County, Shawan, Xinjiang, China
| | - Lu-Feng Cheng
- Department of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,State Key Laboratory for Conservation and Utilization of Bio-Resources, Yunnan University, Kunming, Yunnan, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
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14
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Guo Z, Fan C, Li T, Gesang L, Yin W, Wang N, Weng X, Gong Q, Zhang J, Wang J. Neural network correlates of high-altitude adaptive genetic variants in Tibetans: A pilot, exploratory study. Hum Brain Mapp 2020; 41:2406-2430. [PMID: 32128935 PMCID: PMC7267913 DOI: 10.1002/hbm.24954] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Revised: 01/16/2020] [Accepted: 02/09/2020] [Indexed: 02/05/2023] Open
Abstract
Although substantial progress has been made in the identification of genetic substrates underlying physiology, neuropsychology, and brain organization, the genotype–phenotype associations remain largely unknown in the context of high‐altitude (HA) adaptation. Here, we related HA adaptive genetic variants in three gene loci (EGLN1, EPAS1, and PPARA) to interindividual variance in a set of physiological characteristics, neuropsychological tests, and topological attributes of large‐scale structural and functional brain networks in 135 indigenous Tibetan highlanders. Analyses of individual HA adaptive single‐nucleotide polymorphisms (SNPs) revealed that specific SNPs selectively modulated physiological characteristics (erythrocyte level, ratio between forced expiratory volume in the first second to forced vital capacity, arterial oxygen saturation, and heart rate) and structural network centrality (the left anterior orbital gyrus) with no effects on neuropsychology or functional brain networks. Further analyses of genetic adaptive scores, which summarized the overall degree of genetic adaptation to HA, revealed significant correlations only with structural brain networks with respect to local interconnectivity of the whole networks, intermodule communication between the right frontal and parietal module and the left occipital module, nodal centrality in several frontal regions, and connectivity strength of a subnetwork predominantly involving in intramodule edges in the right temporal and occipital module. Moreover, the associations were dependent on gene loci, weight types, or topological scales. Together, these findings shed new light on genotype–phenotype interactions under HA hypoxia and have important implications for developing new strategies to optimize organism and tissue responses to chronic hypoxia induced by extreme environments or diseases.
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Affiliation(s)
- Zhiyue Guo
- Institute of Brain Diseases and Cognition, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Cunxiu Fan
- Institute of Brain Diseases and Cognition, School of Medicine, Xiamen University, Xiamen, Fujian, China.,Department of Neurology, Shanghai Changhai Hospital, Navy Medical University, Shanghai, China
| | - Ting Li
- Institute of Brain Diseases and Cognition, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Luobu Gesang
- Institute of High Altitude Medicine, Tibet Autonomous Region People's Hospital, Lhasa, Tibet Autonomous Region, China
| | - Wu Yin
- Department of Radiology, Tibet Autonomous Region People's Hospital, Lhasa, Tibet Autonomous Region, China
| | - Ningkai Wang
- Department of Psychology, Hangzhou Normal University, Hangzhou, China
| | - Xuchu Weng
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, South China Normal University, Institute for Brain Research and Rehabilitation, Guangzhou, China
| | - Qiyong Gong
- Huaxi Magnetic Resonance Research Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jiaxing Zhang
- Institute of Brain Diseases and Cognition, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Jinhui Wang
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, South China Normal University, Institute for Brain Research and Rehabilitation, Guangzhou, China
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15
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Tan L, Li T, Lei F, Li X, Zhou J, Zhang Y, Ren R, Yang L, Tang X. Longer apnea duration at low altitude in Tibetan and Han highlanders compared with Han lowlanders: A retrospective study. J Sleep Res 2019; 29:e12934. [PMID: 31642144 DOI: 10.1111/jsr.12934] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 09/25/2019] [Accepted: 09/25/2019] [Indexed: 02/05/2023]
Abstract
Prolonged duration of obstructive apnea (OA) has been observed in highlanders after descending to low altitude. It is proposed that due to adaptation to a hypoxic high-altitude environment, Tibetan highlanders (TH) and Han highlanders (HH) would manifest different OA durations at low altitude as compared to Han lowlanders (HL). Data collection on consecutive obstructive sleep apnea patients (167 TH, 210 HH and 233 HL) was performed over a period of 8 years in Chengdu (altitude 500 m). The analyses were performed with non-matched groups and with body mass index and apnea-hypopnea index-matched groups. Significance rankings for mean duration of OA (s) in non-matched groups and matched groups were TH (27.7; 28.6) = HH (25.7; 26.0) > HL (21.7; 21.3), respectively. For the longest OA duration, the significance rankings across three groups with regard to the percentage of patients having a duration longer than 2 min (%) and mean values (s) were TH (26.9; 82) > HH (10.0; 67) > HL (1.3; 50). In terms of nadir and mean oxygen saturation, significant differences were found between TH and HH or HL. In addition, longest and mean OA duration were positively correlated with blood pressure and heart rate, whereas nadir and mean oxygen saturation were negatively correlated with these measures in both non-matched and matched groups, and the correlation was more robust in TH. These findings raise important clinical questions regarding whether such significant prolongation of OA duration and a more severe hypoxic burden among highlanders, especially in TH, may lead to adverse clinical consequences when at low altitude.
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Affiliation(s)
- Lu Tan
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine,Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Taomei Li
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine,Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Fei Lei
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine,Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Xiao Li
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine,Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Junying Zhou
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine,Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Ye Zhang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine,Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Rong Ren
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine,Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Linghui Yang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine,Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Xiangdong Tang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine,Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
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16
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He Y, Lou H, Cui C, Deng L, Gao Y, Zheng W, Guo Y, Wang X, Ning Z, Li J, Li B, Bai C, Liu S, Wu T, Xu S, Qi X, Su B. De novo assembly of a Tibetan genome and identification of novel structural variants associated with high-altitude adaptation. Natl Sci Rev 2019; 7:391-402. [PMID: 34692055 PMCID: PMC8288928 DOI: 10.1093/nsr/nwz160] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 10/11/2019] [Accepted: 10/15/2019] [Indexed: 01/06/2023] Open
Abstract
Structural variants (SVs) may play important roles in human adaptation to extreme environments such as high altitude but have been under-investigated. Here, combining long-read sequencing with multiple scaffolding techniques, we assembled a high-quality Tibetan genome (ZF1), with a contig N50 length of 24.57 mega-base pairs (Mb) and a scaffold N50 length of 58.80 Mb. The ZF1 assembly filled 80 remaining N-gaps (0.25 Mb in total length) in the reference human genome (GRCh38). Markedly, we detected 17 900 SVs, among which the ZF1-specific SVs are enriched in GTPase activity that is required for activation of the hypoxic pathway. Further population analysis uncovered a 163-bp intronic deletion in the MKL1 gene showing large divergence between highland Tibetans and lowland Han Chinese. This deletion is significantly associated with lower systolic pulmonary arterial pressure, one of the key adaptive physiological traits in Tibetans. Moreover, with the use of the high-quality de novo assembly, we observed a much higher rate of genome-wide archaic hominid (Altai Neanderthal and Denisovan) shared non-reference sequences in ZF1 (1.32%–1.53%) compared to other East Asian genomes (0.70%–0.98%), reflecting a unique genomic composition of Tibetans. One such archaic hominid shared sequence—a 662-bp intronic insertion in the SCUBE2 gene—is enriched and associated with better lung function (the FEV1/FVC ratio) in Tibetans. Collectively, we generated the first high-resolution Tibetan reference genome, and the identified SVs may serve as valuable resources for future evolutionary and medical studies.
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Affiliation(s)
- Ouzhuluobu
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
- Fukang Obstetrics, Gynecology and Children Branch Hospital, Tibetan Fukang Hospital, Lhasa 850000, China
| | - Yaoxi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing 100101, China
| | - Haiyi Lou
- Chinese Academy of Sciences Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Chaoying Cui
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Lian Deng
- Chinese Academy of Sciences Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Yang Gao
- Chinese Academy of Sciences Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
- School of Life Science and Technology, Shanghai Tech University, Shanghai 201210, China
| | - Wangshan Zheng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing 100101, China
| | - Yongbo Guo
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing 100101, China
| | - Xiaoji Wang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhilin Ning
- Chinese Academy of Sciences Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Jun Li
- Fukang Obstetrics, Gynecology and Children Branch Hospital, Tibetan Fukang Hospital, Lhasa 850000, China
| | - Bin Li
- Center for Disease Control, Tibet Autonomous Region, Lhasa 850000, China
| | - Caijuan Bai
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Baimakangzhuo
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Gonggalanzi
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Dejiquzong
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Bianba
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Duojizhuoma
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Shiming Liu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining 810012, China
| | - Tianyi Wu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining 810012, China
| | - Shuhua Xu
- Chinese Academy of Sciences Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- School of Life Science and Technology, Shanghai Tech University, Shanghai 201210, China
- Collaborative Innovation Center of Genetics and Development, Shanghai 200438, China
- Corresponding author. E-mail:
| | - Xuebin Qi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Fukang Obstetrics, Gynecology and Children Branch Hospital, Tibetan Fukang Hospital, Lhasa 850000, China
- Corresponding author. E-mail:
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Corresponding author. E-mail:
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Estimating minute ventilation and air pollution inhaled dose using heart rate, breath frequency, age, sex and forced vital capacity: A pooled-data analysis. PLoS One 2019; 14:e0218673. [PMID: 31287820 PMCID: PMC6615621 DOI: 10.1371/journal.pone.0218673] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 06/06/2019] [Indexed: 12/16/2022] Open
Abstract
Air pollution inhaled dose is the product of pollutant concentration and minute ventilation ( V˙E). Previous studies have parameterized the relationship between V˙E and variables such as heart rate (HR) and have observed substantial inter-subject variability. In this paper, we evaluate a method to estimate V˙E with easy-to-measure variables in an analysis of pooled-data from eight independent studies. We compiled a large diverse data set that is balanced with respect to age, sex and fitness level. We used linear mixed models to estimate V˙E with HR, breath frequency (fB), age, sex, height, and forced vital capacity (FVC) as predictors. FVC was estimated using the Global Lung Function Initiative method. We log-transformed the dependent and independent variables to produce a model in the form of a power function and assessed model performance using a ten-fold cross-validation procedure. The best performing model using HR as the only field-measured parameter was V˙E = e-9.59HR2.39age0.274sex-0.204FVC0.520 with HR in beats per minute, age in years, sex is 1 for males and 2 for females, FVC in liters, and a median(IQR) cross-validated percent error of 0.664(45.4)%. The best performing model overall was V˙E = e-8.57HR1.72fB0.611age0.298sex-0.206FVC0.614, where fB is breaths per minute, and a median(IQR) percent error of 1.20(37.9)%. The performance of these models is substantially better than any previously-published model when evaluated using this large pooled-data set. We did not observe an independent effect of height on V˙E, nor an effect of race, though this may have been due to insufficient numbers of non-white participants. We did observe an effect of FVC such that these models over- or under-predict V˙E in persons whose measured FVC was substantially lower or higher than estimated FVC, respectively. Although additional measurements are necessary to confirm this finding regarding FVC, we recommend using measured FVC when possible.
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López Jové OR, Arce SC, Chávez RW, Alaniz A, Lancellotti D, Chiapella MN, Julián A, De Vito EL, Sala HL. Spirometry reference values for an andean high-altitude population. Respir Physiol Neurobiol 2018; 247:133-139. [DOI: 10.1016/j.resp.2017.09.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2017] [Revised: 09/13/2017] [Accepted: 09/26/2017] [Indexed: 11/26/2022]
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19
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Moore LG. Measuring high-altitude adaptation. J Appl Physiol (1985) 2017; 123:1371-1385. [PMID: 28860167 DOI: 10.1152/japplphysiol.00321.2017] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 08/15/2017] [Accepted: 08/15/2017] [Indexed: 12/12/2022] Open
Abstract
High altitudes (>8,000 ft or 2,500 m) provide an experiment of nature for measuring adaptation and the physiological processes involved. Studies conducted over the past ~25 years in Andeans, Tibetans, and, less often, Ethiopians show varied but distinct O2 transport traits from those of acclimatized newcomers, providing indirect evidence for genetic adaptation to high altitude. Short-term (acclimatization, developmental) and long-term (genetic) responses to high altitude exhibit a temporal gradient such that, although all influence O2 content, the latter also improve O2 delivery and metabolism. Much has been learned concerning the underlying physiological processes, but additional studies are needed on the regulation of blood flow and O2 utilization. Direct evidence of genetic adaptation comes from single-nucleotide polymorphism (SNP)-based genome scans and whole genome sequencing studies that have identified gene regions acted upon by natural selection. Efforts have begun to understand the connections between the two with Andean studies on the genetic factors raising uterine blood flow, fetal growth, and susceptibility to Chronic Mountain Sickness and Tibetan studies on genes serving to lower hemoglobin and pulmonary arterial pressure. Critical for future studies will be the selection of phenotypes with demonstrable effects on reproductive success, the calculation of actual fitness costs, and greater inclusion of women among the subjects being studied. The well-characterized nature of the O2 transport system, the presence of multiple long-resident populations, and relevance for understanding hypoxic disorders in all persons underscore the importance of understanding how evolutionary adaptation to high altitude has occurred.NEW & NOTEWORTHY Variation in O2 transport characteristics among Andean, Tibetan, and, when available, Ethiopian high-altitude residents supports the existence of genetic adaptations that improve the distribution of blood flow to vital organs and the efficiency of O2 utilization. Genome scans and whole genome sequencing studies implicate a broad range of gene regions. Future studies are needed using phenotypes of clear relevance for reproductive success for determining the mechanisms by which naturally selected genes are acting.
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Affiliation(s)
- Lorna G Moore
- Division of Reproductive Sciences, Department of Obstetrics & Gynecology, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado
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20
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Nelson RG. Reimaging Process in 2016: Deliberations on a Year of Integrative Slow Science in Biological Anthropology. AMERICAN ANTHROPOLOGIST 2017. [DOI: 10.1111/aman.12869] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Robin G. Nelson
- Department of Anthropology; Santa Clara University; Santa Clara CA 95053
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21
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Vinnikov D, Blanc PD, Brimkulov N. Spirometry reference values for a Kyrgyz population. CLINICAL RESPIRATORY JOURNAL 2016; 12:826-828. [PMID: 27486907 DOI: 10.1111/crj.12539] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 07/19/2016] [Accepted: 07/30/2016] [Indexed: 11/30/2022]
Affiliation(s)
- Denis Vinnikov
- Department of Internal Medicine, Occupational Diseases and Hematology, Kyrgyz State Medical Academy, Bishkek, Kyrgyzstan
| | - Paul D Blanc
- Division of Occupational and Environmental Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Nurlan Brimkulov
- Department of Internal Medicine, Occupational Diseases and Hematology, Kyrgyz State Medical Academy, Bishkek, Kyrgyzstan
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22
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Sightings, edited by Erik R. Swenson and Peter Bärtsch. High Alt Med Biol 2016. [DOI: 10.1089/ham.2016.29009.stg] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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