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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Three-dimensional human facial morphologies as robust aging markers

Chen, Weiyang, Qian, Wei, Wu, Gang, Chen, Weizhong, Xian, Bo, Chen, Xingwei, Cao, Yaqiang, Green, Christopher D, Zhao, Fanghong, Tang, Kun, Han, Jing-Dong J·2015·Cell Research
DOI 10.1038/cr.2015.36
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Abstract

Aging is associated with many complex diseases. Reliable prediction of the aging process is important for assessing the risks of aging-associated diseases. However, despite intense research, so far there is no reliable aging marker. Here we addressed this problem by examining whether human 3D facial imaging features could be used as reliable aging markers. We collected > 300 3D human facial images and blood profiles well-distributed across ages of 17 to 77 years. By analyzing the morphological profiles, we generated the first comprehensive map of the aging human facial phenome. We identified quantitative facial features, such as eye slopes, highly associated with age. We constructed a robust age predictor and found that on average people of the same chronological age differ by ± 6 years in facial age, with the deviations increasing after age 40. Using this predictor, we identified slow and fast agers that are significantly supported by levels of health indicators. Despite a close relationship between facial morphological features and health indicators in the blood, facial features are more reliable aging biomarkers than blood profiles and can better reflect the general health status than chronological age.

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Crossref · 10.1038/cr.2015.36

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2 of 2 references verified0 citation errors · 0 not checkable

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  • The evidence is still largely qualitative for faces of living humans.

    “Despite some recent efforts to quantify age‐related shape features of the face beyond single regions (Chen et al., 2015; Mydlová, Dupej, Koudelová, & Velemínská, 2015), the evidence is still largely qualitative for faces of living humans.”

    From Facial aging trajectories: A common shape pattern in male and female faces is disrupted after menopause (2019) · cites this paper as Chen et al., 2015

  • Chinese people of the same chronological age differed by about plus or minus 6 years in terms of 'facial age', and the amount of deviation increases after age 40.

    “Similarly, Chen et al. (2015) found that Chinese people of the same chronological age differed by about plus or minus 6 years in terms of “facial age” (i.e., the age predicted from facial morphology) and that the amount of deviation increases after age 40.”

    From Facial aging trajectories: A common shape pattern in male and female faces is disrupted after menopause (2019) · cites this paper as Chen et al. (2015)

  • Our findings resemble the 3D visualizations of facial aging from Chinese and Czech samples.

    “Our findings resemble the 3D visualizations of facial aging from Chinese and Czech samples (Chen et al., 2015; Mydlová et al., 2015) as well as the qualitative and quantitative descriptions of single regions as reviewed in the introductory paragraphs.”

    From Facial aging trajectories: A common shape pattern in male and female faces is disrupted after menopause (2019) · cites this paper as Chen et al., 2015

Citations

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Metadata

Authors
Chen, W., Qian, W., Wu, G., Chen, W., Xian, B., Chen, X., Cao, Y., Green, C. D., Zhao, F., Tang, K., & Han, J.-D. J.
Venue
Cell Research
Publisher
Springer Science and Business Media LLC
Published
2015-03-31
Volume
25
Issue
5
Pages
574-587
ISSN
  • 1001-0602
  • 1748-7838
DOI
10.1038/cr.2015.36
Cited by
130
References
2
Language
en
Licence
www.springer.com/tdm (tdm)

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