6 research outputs found

    MC1R Gene Polymorphism Affects Skin Color and Phenotypic Features Related to Sun Sensitivity in a Population of French Adult Women

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    International audienceThe melanocortin-1 receptor (MC1R) gene is known to play a major role in skin and hair pigmentation and to be highly polymorphic in Caucasians. This study was performed to investigate the relationships between MC1R gene polymorphisms and skin color in a large sample of French middle-aged Caucasian women. The codons 60 to 265 and the codon 294 of the MC1R gene were sequenced in 488 women. The skin color was measured on the inner side of the forearm using a spectrophotometric instrument. Fifteen variants were identified: Arg151Cys, Arg160Trp, Arg142His, Asp294His, Ile155Thr, Asp84Glu, Val60Leu, Val92Met, Arg163Gln, Ser83Pro, Thr95Met, Pro256Ser, Val265Ile, Ala166Ala and Gln233Gln. Women carrying Arg151Cys, Asp294His, Arg160Trp and Asp84Glu variants had a significantly higher reflectance in the red region, which indicates a lower level of functional melanin. This association was the most pronounced for women carrying Asp84Glu. In contrast, no significant difference was observed for other variants. Moreover, associations between MC1R polymorphisms and the risks of experiencing sunburn and of having freckles were found independently of skin color. Our findings support the hypothesis that MC1R polymorphisms do not necessarily alter the skin color but should sensitize the skin to UV-induced DNA damage

    Functional MC1R-Gene Variants Are Associated with Increased Risk for Severe Photoaging of Facial Skin

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    International audienceThe objective of this study was to assess the association between melanocortin-1 receptor (MC1R) variants and the severity of facial skin photoaging. The study population comprised 530 middle-aged French women. A trained dermatologist graded the severity of facial skin photoaging from photographs using a global scale. Logistic regressions were performed to assess the influence of MC1R polymorphisms on severe photoaging with adjustment for possible confounders (demographic and phenotypic data and sun exposure intensity). Among the fifteen MC1R variants identified, the nine most common were V60L, V92M, R151C, R160W, R163Q, R142H, D294H, D84E, and I155T. One hundred and eighty-five individuals (35%) were WT homozygotes, 261 (49%) had one common variant, 78 (15%) had two common variants, and six (1%) had at least one rare variant. After adjustment for possible confounders, the presence of two common variants was already a risk factor for severe photoaging (AOR (95% confidence interval): 2.33 (1.17-4.63)). This risk reached 5.61 (1.43-21.96) when two major diminished-function variants were present. Surprisingly, the minor variant, V92M, was associated with increased risk of photoaging (2.57 (1.23-5.35)). Our results suggest that genetic variations of MC1R are important determinants for severe photoaging

    Author Correction: Mortality outcomes with hydroxychloroquine and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized trials

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    Food security and poverty in the era of decentralization in Indonesia

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    Food security enhancement is one of the main objectives of agricultural development. In Indonesia, agricultural and rural development, such as food security and the reduction of poverty and the number of food-insecure households, is being determined by the changing dynamics of the international economy and the domestic strategic environment. The studies contained in this working paper provide an analysis of the current status and suggest future policy directions for poverty reduction strategies in the context of decentralization in Indonesia. The study was conducted in three parts, they examine the achievement made in rural and agricultural development and poverty alleviation. Part 1 and 2 directly address food security and poverty. Part 3 focuses on the empowerment of rural households facing food insecurity

    Author Correction 2024: Mortality outcomes with hydroxychloroquine and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized trials(Nature Communications, (2021), 12, (1), 10.1038/s41467-021-22446-z)

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    Correction to: Nature Communicationshttps://doi.org/10.1038/s41467-021-22446-z, published online 15 April 2021 The original version of this article contained an error in Table 1, which misidentified the trial included in the meta-analysis registered as NCT04323527 as CloroCOVID19II instead of CloroCOVID19III. The NCT04323527 registration includes the trials CloroCOVID19I and CloroCOVID19III. CloroCOVID19I was not included in the meta-analysis. In addition, the original version of the Methods section inadvertently omitted details of which formulations of hydroxychloroquine or chloroquine the reported dosages refer to. The following information has been included in the legend for Table 1 and in the corrected methods section: “In all trials that used hydroxychloroquine, dosages refer to hydroxychloroquine sulfate. In trials that used chloroquine, the dosages for ARCHAIC, ChiCTR2000030054 and ChiCTR2000031204 refer to chloroquine phosphate, while those for CloroCOVID19II and CloroCOVID19III refer to chloroquine base. The American Journal of Tropical Medicine and Hygiene has issued a retraction note (1) for one of the trials (2) that had been included in the calculations of our meta-analysis. Exclusion of the data from this trial changes neither the results nor inferences of the meta-analysis. For hydroxychloroquine, the original odds ratio for mortality was 1.11 (95% CI: 1.02–1.20; I 2 = 0%; 26 trials; 10,012 patients) and excluding the retracted trial the odds ratio for mortality would remain 1.11 (95% CI: 1.02–1.20, I 2 = 0%; 25 trials; 9818 patients). Retraction Notice. The American Journal of Tropical Medicine and Hygiene 107, 728-728, https://doi.org/10.4269/ajtmh.1073ret (2022). Abd-Elsalam, S. et al. RETRACTED: Hydroxychloroquine in the Treatment of COVID-19: A Multicenter Randomized Controlled Study. Am J Trop Med Hyg 103, 1635-1639, https://doi.org/10.4269/ajtmh.20-0873 (2020). The errors in Table 1 and in the Methods section have been corrected in both the PDF and HTML versions of the Article
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