Estimation of age using aspartic acid racemisation in human dentin in Indian population

Rajkumari, Sunanda; Nirmal, Madhavan; Sunil, Paramel Mohan; Smith, A. Anton

doi:10.1016/j.forsciint.2013.02.021

Cited by 20 publications

(20 citation statements)

References 17 publications

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“…In our study, we demonstrated that there was no statistically significant difference between the different sexes and Asp racemization rates in the cartilage tissues and this finding is in accordance with the dentin study . However, our results contradict with the results of the studies performed using femur and alveolar bone .…”

Section: Discussionsupporting

confidence: 72%

Estimation of Chronological Age from Postmortem Tissues Based on Amino Acid Racemization

Eyüboğlu

Gören

Yurtsever

2018

Journal of Forensic Sciences

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Skin and cartilage tissue specimens from 32 male and 13 female corpses aged between 17 and 50 years were collected within 24 h after the death. Each specimen was analyzed for the composition of dextro (D) and levo (L) forms of aspartate, glutamate, and alanine. Linear regression models were constructed using ln [(1 + D/L)/(1 - D/L] equation to define the relationship between the extent of racemization and the chronological age. Aspartate D/L rates from cartilage showed high correlation (r = 0.779, p < 0.001, n = 45). Aspartate D/L rates from skin showed very low correlation (r = 0.356, p < 0.002, n = 44). The multilinear regression model of both aspartate D/L rates of cartilage and skin tissues in 44 cases yielded a coefficient of r = 0.828 (p < 0.001). In conclusion, only racemization rate of Aspartate both in the skin and the cartilage tissues correlated with the chronological age. Our results may imply that the age can be estimated more precisely if two different tissue specimens are obtained from one corpse.

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Section: Discussionsupporting

confidence: 72%

Estimation of Chronological Age from Postmortem Tissues Based on Amino Acid Racemization

Eyüboğlu

Gören

Yurtsever

2018

Journal of Forensic Sciences

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“…Nevertheless, unlike bone, dental tissues have more closed systems and hence, the influence of other physiological processes is not as immediate as in bone (Foster et al, ; Griffin, Moody, Penkman, & Collins, ). Thus, biomarkers like aspartic racemization (e.g., Rajkumari, Nirmal, Sunil, & Smith, ) and tooth cementum annulations (TCA) (e.g., Wittwer‐Backofen, ) have been found to bear a closer relationship with CA. Therefore, these types of biomarkers have the potential to have greater applicability for the measurement or estimation of CA rather than BA, because their nature makes them less susceptible to variability with aging.…”

Section: Introductionmentioning

confidence: 99%

Differences between biological and chronological age‐at‐death in human skeletal remains: A change of perspective

Couoh

2017

American J Phys Anthropol

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TCA can be used to estimate CA and its differences with BA, being less than 10 years, are similar to those found in living populations. Differences between CA and BA are due to intra-population variability, which could be the consequence of individual differences in aging. More research is needed to have confidence that under- and overestimations of BA are indicators of aging variability at the level of the individual.

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“…Rajkumari et al . [ 27 ] conducted a study on buccolingual longitudinal sections of 36 maxillary and mandibular premolar from Indian participants with an age range of 11–70 years. They estimated age between the ranges of ± 3 years.…”

Section: Discussionmentioning

confidence: 99%

Age estimation of living Indian individuals based on aspartic acid racemization from tooth biopsy specimen

Rastogi¹,

Logani²,

Shah³

et al. 2017

J Forensic Dent Sci

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Background:Age estimation in living individuals is imperative to amicably settle civil and criminal disputes. A biochemical method based on amino acid racemization was evaluated for age estimation of living Indian individuals.Design:Caries-free maxillary/mandibular premolar teeth (n = 90) were collected from participants with age proof documents and divided into predefined nine age groups.Materials and Methods:Dentine biopsy from the labial aspect of the tooth crown was taken with an indigenously developed microtrephine. The samples were processed and subjected to gas chromatography. Dextrorotatory:levorotatory ratios were calculated, and a regression equation was formulated.Results:Across all age groups, an error of 0 ± 4 years between protein racemization age and chronological age was observed.Conclusion:Aspartic acid racemization from dentine biopsy samples could be a viable and accurate technique for age estimation of living individuals who have attained a state of skeletal maturity.

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Estimation of age using aspartic acid racemisation in human dentin in Indian population

Cited by 20 publications

References 17 publications

Estimation of Chronological Age from Postmortem Tissues Based on Amino Acid Racemization

Estimation of Chronological Age from Postmortem Tissues Based on Amino Acid Racemization

Differences between biological and chronological age‐at‐death in human skeletal remains: A change of perspective

Age estimation of living Indian individuals based on aspartic acid racemization from tooth biopsy specimen

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