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Di Cicco F, Evans RL, James AG, Weddell I, Chopra A, Smeets MAM. Intrinsic and extrinsic factors affecting axillary odor variation. A comprehensive review. Physiol Behav 2023; 270:114307. [PMID: 37516230 DOI: 10.1016/j.physbeh.2023.114307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/14/2023] [Accepted: 07/27/2023] [Indexed: 07/31/2023]
Abstract
Humans produce odorous secretions from multiple body sites according to the microbiomic profile of each area and the types of secretory glands present. Because the axilla is an active, odor-producing region that mediates social communication via the sense of smell, this article focuses on the biological mechanisms underlying the creation of axillary odor, as well as the intrinsic and extrinsic factors likely to impact the odor and determine individual differences. The list of intrinsic factors discussed includes sex, age, ethnicity, emotions, and personality, and extrinsic factors include dietary choices, diseases, climate, and hygienic habits. In addition, we also draw attention to gaps in our understanding of each factor, including, for example, topical areas such as the effect of climate on body odor variation. Fundamental challenges and emerging research opportunities are further outlined in the discussion. Finally, we suggest guidelines and best practices based on the factors reviewed herein for preparatory protocols of sweat collection, data analysis, and interpretation.
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Affiliation(s)
- Francesca Di Cicco
- Faculty of Social and Behavioural Sciences, Utrecht University, Heidelberglaan 1, Utrecht, CS 3584, the Netherlands.
| | - Richard L Evans
- Unilever Research & Development, Port Sunlight Laboratory, Bebington, UK
| | - A Gordon James
- Unilever Research & Development, Colworth House, Sharnbrook, UK
| | - Iain Weddell
- Unilever Research & Development, Port Sunlight Laboratory, Bebington, UK
| | - Anita Chopra
- Unilever Research & Development, Port Sunlight Laboratory, Bebington, UK
| | - Monique A M Smeets
- Faculty of Social and Behavioural Sciences, Utrecht University, Heidelberglaan 1, Utrecht, CS 3584, the Netherlands; Unilever Research & Development, Rotterdam, the Netherlands
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Takashina N. Linking multi-level population dynamics: state, role, and population. PeerJ 2022; 10:e13315. [PMID: 35582614 PMCID: PMC9107789 DOI: 10.7717/peerj.13315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 03/31/2022] [Indexed: 01/13/2023] Open
Abstract
The dynamics of an ecological community can be described at different focal scales of the species, such as individual states or the population level. More detailed descriptions of ecological dynamics offer more information, but produce more complex models that are difficult to analyze. Adequately controlling the model complexity and the availability of multiple descriptions of the concerned dynamics maximizes our understanding of ecological dynamics. One of the central goals of ecological studies is to develop links between multiple descriptions of an ecological community. In this article, starting from a nonlinear state-level description of an ecological community (generalized McKendrick-von Foerster model), role-level and population-level descriptions (Lotka-Volterra model) are derived in a consistent manner. The role-level description covers a wider range of situations than the population-level description. However, using the established connections, it is demonstrated that the population-level description can be used to predict the equilibrium status of the role-level description. This approach connects state-, role-, and population-level dynamics consistently, and offers a justification for the multiple choices of model description.
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Caldeira P, Davids K, Araújo D. Neurobiological tensegrity: The basis for understanding inter- individual variations in task performance? Hum Mov Sci 2021; 79:102862. [PMID: 34416490 DOI: 10.1016/j.humov.2021.102862] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 08/07/2021] [Accepted: 08/10/2021] [Indexed: 12/24/2022]
Abstract
Bernstein's (1996) levels of movement organization includes tonus, the muscular-contraction level that primes individual movement systems for (re)organizing coordination patterns. The hypothesis advanced is that the tonus architecture is a multi-fractal tensegrity system, deeply reliant on haptic perception for regulating movement of an individual actor in a specific environment. Further arguments have been proposed that the tensegrity-haptic system is implied in all neurobiological perception and -action. In this position statement we consider whether the musculoskeletal system can be conceptualized as a neurobiological tensegrity system, supporting each individual in co-adapting to many varied contexts of dynamic performance. Evidence for this position, revealed in investigations of judgments of object properties, perceived during manual hefting, is based on each participant's tensegrity. The implication is that the background organizational state of every individual is unique, given that no neurobiological architecture (musculo-skeletal components) is identical. The unique tensegrity of every organism is intimately related to individual differences, channeling individualized adaptations to constraints (task, environment, organismic), which change over different timescales. This neurobiological property assists transitions from one stable state of coordination to another which is needed in skill adaptation during performance. We conclude by discussing how tensegrity changes over time according to skill acquisition and learning.
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Gao N, Tian X, Fang Y, Zhou J, Zhang H, Wen Q, Jia L, Gao J, Sun B, Wei J, Zhang Y, Cui M, Qiao H. Gene polymorphisms and contents of cytochrome P450s have only limited effects on metabolic activities in human liver microsomes. Eur J Pharm Sci 2016; 92:86-97. [PMID: 27339126 DOI: 10.1016/j.ejps.2016.06.015] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 05/16/2016] [Accepted: 06/18/2016] [Indexed: 12/22/2022]
Abstract
Extensive inter-individual variations in pharmacokinetics are considered as a major reason for unpredictable drug responses. As the most important drug metabolic enzymes, inter-individual variations of cytochrome P450 (CYP) activities are not clear in human liver. In this paper, metabolic activities, gene polymorphisms and protein contents of 10 CYPs were determined in 105 human normal liver microsomes. The results indicated substantial inter-individual variations in CYP activities, with the greatest being CYP2C19 activity (>600-fold). Only half of 10 CYP isoforms and 26 gene polymorphism sites had limited effects on metabolic activities, such as CYP2A6, CYP2B6, CYP2C9, CYP2D6 and CYP3A4/5, others had almost no effects. Compared with their respective wild type, Km, Vmax, and CLint decreased by 51.6%, 88.7% and 70.7% in CYP2A6*1/*4 genotype, Vmax and CLint decreased by 32.8% and 60.2% in CYP2C9*1/*3 genotype, Km increased by 118.4% and CLint decreased by 65.2% in CYP2D6 100TT genotype, respectively. Moreover, there were only 4 CYP isoforms, CYP1A2, CYP2A6, CYP2E1 and CYP3A5, which had moderate or weak correlations between Vmax values and corresponding contents. In conclusions, the genotypes and contents of some CYPs have only limited effects on metabolic activities, which imply that there are other more important factors to influence inter-individual variations.
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Affiliation(s)
- Na Gao
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Xin Tian
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Yan Fang
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Jun Zhou
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Haifeng Zhang
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Qiang Wen
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Linjing Jia
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Jie Gao
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Bao Sun
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Jingyao Wei
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Yunfei Zhang
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Mingzhu Cui
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China
| | - Hailing Qiao
- Institute of Clinical Pharmacology, Zhengzhou University, 40 Daxue Road, Zhengzhou, Henan Province 450052, People's Republic of China.
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