Changes in Chinese hair growth along a full year

Liu, C.; Yang, Jing; Qu, Lu; Gu, Meijiao; Liu, Y.; Gao, Jie; Collaudin, C.; Loussouarn, G.

doi:10.1111/ics.12151

Cited by 8 publications

(5 citation statements)

References 31 publications

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“…Due to poor spatial resolution, exposure time error could only be measured in months. In this study, As exposure time was estimated using a high-spatial-resolution method combined with the hair growth rate, and we found that the estimated hair growth rate was similar to values reported in Chinese people [ 19 ]. Estimated As exposure time exhibited satisfactory agreement with the actual exposure time.…”

Section: Discussionsupporting

confidence: 72%

Estimation of the Frequency and Time of Human Exposure to Arsenic by Single Hair Analysis

Luo

et al. 2022

IJERPH

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Arsenic (As) and its compounds are widely used in many applications. Long-term exposure to As can cause acute and chronic poisoning. In severe cases, it can lead to adverse effects, such as gene mutation, cell cancer and fetal malformation. The objective of this study was to accurately estimate As exposure frequency and time. Quantitative analysis of As in single hairs obtained from APL (acute promyelocytic leukemia) patients treated with As2O3 was performed by LA-ICP-MS. An informative As concentration distribution profile of single hair was applied to estimate the As exposure frequency and time. As exposure frequency was estimated according to the number of As concentration peaks. As exposure time was estimated according to the hair growth length in combination with the hair growth rate. The validation results demonstrate that this method was more efficient than the traditional method; compared with the traditional method, which provides estimates in months, our model shortened the As exposure time estimate to the range of a few days, which considerably improved the inference accuracy. Therefore, these results can be used for forensic toxicology studies, environmental exposure monitoring, etc.

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Section: Discussionsupporting

confidence: 72%

Estimation of the Frequency and Time of Human Exposure to Arsenic by Single Hair Analysis

Luo

et al. 2022

IJERPH

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“…A healthy human head of hair has between 100.000 and 120.000 hair fibres that are individually produced by their respective hair follicles, leading to various hair densities on the scalp of subjects. Hair density varies with age, gender, scalp sites, seasons and ethnicity, [1][2][3][4][5][6][7]. While all hair follicles follow genetically driven similar cycles of growth and loss [8,9], they produce hairs with slight variations in shape, colour, thickness, roundness and length, because of a high biological diversity [10].…”

Section: Introductionmentioning

confidence: 99%

What is a Caucasian ‘fine’ hair? Comparing instrumental measurements, self‐perceptions and assessments from hair experts

Bouabbache

Galliano

Littaye

et al. 2016

Intern J of Cosmetic Sci

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This study has shown close agreement between sensorial and instrumental findings, and also illustrates how the women participating can subtly and adequately describe their own hair. It is important to note that the words 'fine hair' describes a lot more than just physically thin hair fibres. Ageing is an additional factor that clearly impacts certain parameters associated with 'fine hair' among the volunteers.

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“…Seasonal variation of hair characteristics has also been reported with anagen percentage decreased during the summer (90, 91). Thus, follow up evaluations have to be made ideally in the same season or month.…”

Section: Evaluation Of the Hypothesismentioning

confidence: 87%

Hair follicle characteristics as early marker of Type 2 Diabetes

et al. 2016

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Type 2 Diabetes mellitus (DM2) includes a continuum of metabolic disorders characterized by hyperglycemia that causes several chronic long-term complications such as coronary artery disease, peripheral arterial disease, nephropathy, and neuropathy. The hair follicle could reveal signs of early vascular impairment, yet its relationship to early metabolic injuries has been largely ignored. We propose that in earlier stages of the continuum of DM2-related metabolic disorders, a group of susceptible patients who do not yet meet the diagnostic criteria to be considered as persons with DM2 may present chronic vascular impairment and end organ damage, including hair follicle damage, which can be evaluated to identify an early risk marker. This hypothesis is based in the association found between insulin resistance and alopecia in non-diabetic persons, and the hair loss on the lower limbs as a manifestation of long-term peripheral arterial disease among subjects with DM2. In order to test this hypothesis, studies are required to evaluate if hair follicle characteristics are related to and can predict hyperglycemic complications, and if they do so, which feature of the hair follicle, such as hair growth, best characterizes such DM2-related conditions. If this hypothesis were proven to be true, significant advances towards a personalized approach for early prevention strategies and management of DM2 would be made. By focusing on the hair follicles, early stages of metabolic-related organ damage could be identified using non-invasive low-cost techniques. In so doing, this approach could provide early identification of DM2-susceptible individuals and lead to the early initiation of adequate primary prevention strategies to reduce or avoid the onset of large internal organ damage.

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Changes in Chinese hair growth along a full year

Abstract: Data confirm that Chinese hairs present characteristics of the most developed and fast growing terminal fibres, as compared to other non-Asian ethnics.

Cited by 8 publications

References 31 publications

Estimation of the Frequency and Time of Human Exposure to Arsenic by Single Hair Analysis

Estimation of the Frequency and Time of Human Exposure to Arsenic by Single Hair Analysis

What is a Caucasian ‘fine’ hair? Comparing instrumental measurements, self‐perceptions and assessments from hair experts

Hair follicle characteristics as early marker of Type 2 Diabetes

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