Three-dimensional human facial morphologies as robust aging markers

Chen, Weiyang; Qian, Wei; Gang, Wu; Chen, Weizhong; Xian, Bo; Chen, Xingwei; Yun, Cao; Green, Christopher D.; Zhao, Fanghong; Tang, Kun; Han, Jing‐Dong J.

doi:10.1038/cr.2015.36

Cited by 100 publications

(74 citation statements)

References 34 publications

(41 reference statements)

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“…Progress in the field also requires the development of new phenotypic measures that can be used to anchor the biological data. Such measures are under development, notably measures of facial aging [51] and patient-reported outcomes. An important step in the further development of quantifications of biological aging is establishing how such new aging measures relate to an aging-related decline in phenotypic aging, notably physical and psychological functions [28,52].…”

Section: Clinical and Demographic Metrics Of Agingmentioning

confidence: 99%

Developments in molecular epidemiology of aging

Hägg

Belsky

Cohen

2019

Emerging Topics in Life Sciences

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The field of molecular epidemiology of aging involves the application of molecular methods to measure aging processes and their genetic determinants in human cohorts. Over the last decade, the field has undergone rapid progress with a dramatic increase in the number of papers published. The aim of this review is to give an overview of the research field, with a specific focus on new developments, opportunities, and challenges.Aging occurs at multiple hierarchical levels. There is increasing consensus that agingrelated changes at the molecular level cause declines in physiological integrity, functional capacity, and ultimately lifespan. Molecular epidemiology studies seek to quantify this process. Telomere length, composite scores integrating clinical biomarkers, and omics clocks are among the most well-studied metrics in molecular epidemiology studies.New developments in the field include bigger data and hypothesis-free analysis together with new modes of collaborations in interdisciplinary teams and open access norms around data sharing. Key challenges facing the field are the lack of a gold standard by which to evaluate molecular measures of aging, inconsistency in which metrics of aging are measured and analyzed across studies, and a need for more longitudinal data necessary to observe change over time.

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Section: Clinical and Demographic Metrics Of Agingmentioning

confidence: 99%

Developments in molecular epidemiology of aging

Hägg

Belsky

Cohen

2019

Emerging Topics in Life Sciences

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“…Established 3D facial image‐based age predictors estimate age with a high level of accuracy (Table S1, Supporting Information). [ 140 ]…”

Section: Non‐molecular Biomarkersmentioning

confidence: 99%

Aging Biomarkers: From Functional Tests to Multi‐Omics Approaches

Kudryashova¹,

Burka²,

Kulaga

et al. 2020

Proteomics

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Aging results in various deleterious changes in the human body that may lead to loss of function and the manifestation of chronic diseases. While diseases can generally be reliably diagnosed, the aging process itself requires more sophisticated approaches to evaluate its progression. Numerous attempts have been made to establish biomarkers to quantify human aging at the cellular, tissue, and organismal level. Here, an up‐to‐date overview of biomarkers related to human aging with an emphasis on biomarkers that take into account different mechanisms of aging between individuals is provided. Classical discrete molecular and non‐molecular biomarkers handpicked by researches on the base of their strong correlation with age, as well as emerging omics‐based biomarkers, are discussed and potential future directions and developments in the field of aging assessment are outlined.

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“…As one of the most complex anthropological traits, human facial shape is strongly regulated by many factors such as genetic inheritance, ethnicity, age, gender and health, etc. Own to the rapid progresses of face imaging and analysis technologies, especially the 3D dense face model based approaches, complex facial shape traits were continuously discovered to signal genetic polymorphisms [1], ethnicity [2], gender [3], diseases [4] , health [5], as well as aging [6].…”

Section: Introductionmentioning

confidence: 99%

Signatures of personality on dense 3D facial images

Hu¹,

Xiong²,

et al. 2016

Preprint

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It has long been speculated that cues on the human face exist that allow observers to make reliable judgments of others' personality traits. However, direct evidence of association between facial shapes and personality is missing from the current literature. This study assessed the personality attributes of 834 Han Chinese volunteers (405 males and 429 females), utilising the five-factor personality model ('Big Five'), and collected their neutral 3D facial images. Dense anatomical correspondence was established across the 3D facial images in order to allow high-dimensional quantitative analyses of the facial phenotypes. In this paper, we developed a Partial Least Squares (PLS) -based method. We used composite partial least squares component (CPSLC) to test association between the self-tested personality scores and the dense 3D facial image data, then used principal component analysis (PCA) for further validation. Among the five personality factors, agreeableness and conscientiousness in males and extraversion in females were significantly associated with specific facial patterns. The personalityrelated facial patterns were extracted and their effects were extrapolated on simulated 3D facial models.As one of the most complex anthropological traits, the human facial shape is strongly regulated by many factors such as genetics, ethnicity, age, gender, and health. Due to the rapid progress of facial imaging and analysis technology, especially the 3D dense face model-based approaches, complex facial shape traits are continuously being discovered in order to signal genetic polymorphisms 1 , ethnicity 2 , gender 3 , diseases 4 , health 5 , as well as aging 6 .Apart from anthropological perspectives, the human face was also intensively studied for its social attributes; e.g. many aspects of the human personality are honestly signaled on the human face 7-9 , and many other socially relevant traits, such as attractiveness 10, 11 , aggression 12 , and sociosexuality 13 can also be identified on the human face. From an evolutionary perspective, human faces have evolved to signal individual identity 14 and served adaptive functions to promote genetic fitness 15 . Moreover, faces represent an important signaling system not only in humans, but also in chimpanzees, which accurately pictures the personality, indicating shared signaling structures across two species 7 . Nevertheless, the facial signals of social attributes are more difficult to study due to the involute and highly subjective nature of social attributes. Many people believe that facial cues exist towards the hidden personality of unknown individuals 16 . Indeed, a series of studies have been carried out to formally test the hypothesis of facial cues of personality. Most of these studies utilised the five-factor model of personality, or the 'Big Five' (BF) model [17][18][19] . The BF model ascribes the personality into five dimensions: extraversion (E), agreeableness (A), conscientiousness (C), neuroticism (N), and openness (O). According to the definitions, a high...

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Three-dimensional human facial morphologies as robust aging markers

Cited by 100 publications

References 34 publications

Developments in molecular epidemiology of aging

Developments in molecular epidemiology of aging

Aging Biomarkers: From Functional Tests to Multi‐Omics Approaches

Signatures of personality on dense 3D facial images

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