1.COVID-19-associated skin diseases: a cross-sectional survey in Changsha, China
Yuxin SUN ; Siyi HUO ; Jiayu CHEN ; Heping XIONG ; Mingfang ZHU
Chinese Journal of Dermatology 2025;58(5):464-469
Objective:To characterize COVID-19-associated skin diseases and explore their influencing factors.Methods:A cross-sectional survey was conducted via the online platform Wenjuanxing in Changsha area from February 16, 2023, to March 16, 2023. The convenience sampling method was employed to conduct a survey of outpatients with a history of COVID-19 infection from the Second Affiliated Hospital of Hunan University of Chinese Medicine, as well as individuals in certain areas of Changsha who met the inclusion criteria for past COVID-19 infections. Demographic characteristics, COVID-19 infection details, and the occurrence of skin conditions after COVID-19 infection were collected. The chi-square test was used for inter-group comparisons of categorical data, and multivariate logistic regression analysis was performed to investigate factors associated with skin diseases following COVID-19 infection.Results:A total of 357 valid questionnaires were collected, and 357 patients with a history of COVID-19 infection were involved, including 246 females (68.9%) and 111 males (31.1%). Among these patients, 260 (72.8%) were aged ≤ 35 years. After COVID-19 infection, skin diseases occurred in 96 patients (26.9%), with urticaria (27 cases, 31.0%), rosacea (27 cases, 31.0%), hair loss (18 cases, 20.7%), and Henoch-Sch?nlein purpura (15 cases, 17.2%) being the most common diseases. Additionally, 96 patients (26.9%) had a history of pre-existing skin diseases, among whom 36 experienced exacerbation of their pre-existing skin diseases due to COVID-19 infection. Univariate analysis showed that gender, history of chronic diseases, history of allergic diseases, COVID-19 vaccination, duration of COVID-19 infection, and exacerbation of pre-existing skin diseases were significantly associated with the development of new skin diseases following COVID-19 infection (all P < 0.05). Multivariate logistic regression analysis revealed that gender (compared with females, males: OR = 0.235, 95% CI: 0.113, 0.490), history of allergic diseases (compared with patients without a history of allergic diseases, those with the history: OR = 2.159, 95% CI: 1.239, 3.761), and duration of COVID-19 infection (compared with the duration of < 5 days, duration of 6 - 7 days: OR = 3.043, 95% CI: 1.495, 6.193; duration of 8 - 14 days: OR = 2.364, 95% CI: 1.105, 5.506; duration of ≥ 15 days: OR = 4.406, 95% CI: 1.972, 9.849) were influencing factors for skin diseases after COVID-19 infection (all P < 0.05) . Conclusions:COVID-19 infection may lead to skin diseases such as urticaria, rosacea, hair loss, and Henoch-Sch?nlein purpura. Females, individuals with a history of allergic diseases, and those with a relatively long duration of COVID-19 infection were more prone to develop skin diseases after COVID-19 infection.
2.COVID-19-associated skin diseases: a cross-sectional survey in Changsha, China
Yuxin SUN ; Siyi HUO ; Jiayu CHEN ; Heping XIONG ; Mingfang ZHU
Chinese Journal of Dermatology 2025;58(5):464-469
Objective:To characterize COVID-19-associated skin diseases and explore their influencing factors.Methods:A cross-sectional survey was conducted via the online platform Wenjuanxing in Changsha area from February 16, 2023, to March 16, 2023. The convenience sampling method was employed to conduct a survey of outpatients with a history of COVID-19 infection from the Second Affiliated Hospital of Hunan University of Chinese Medicine, as well as individuals in certain areas of Changsha who met the inclusion criteria for past COVID-19 infections. Demographic characteristics, COVID-19 infection details, and the occurrence of skin conditions after COVID-19 infection were collected. The chi-square test was used for inter-group comparisons of categorical data, and multivariate logistic regression analysis was performed to investigate factors associated with skin diseases following COVID-19 infection.Results:A total of 357 valid questionnaires were collected, and 357 patients with a history of COVID-19 infection were involved, including 246 females (68.9%) and 111 males (31.1%). Among these patients, 260 (72.8%) were aged ≤ 35 years. After COVID-19 infection, skin diseases occurred in 96 patients (26.9%), with urticaria (27 cases, 31.0%), rosacea (27 cases, 31.0%), hair loss (18 cases, 20.7%), and Henoch-Sch?nlein purpura (15 cases, 17.2%) being the most common diseases. Additionally, 96 patients (26.9%) had a history of pre-existing skin diseases, among whom 36 experienced exacerbation of their pre-existing skin diseases due to COVID-19 infection. Univariate analysis showed that gender, history of chronic diseases, history of allergic diseases, COVID-19 vaccination, duration of COVID-19 infection, and exacerbation of pre-existing skin diseases were significantly associated with the development of new skin diseases following COVID-19 infection (all P < 0.05). Multivariate logistic regression analysis revealed that gender (compared with females, males: OR = 0.235, 95% CI: 0.113, 0.490), history of allergic diseases (compared with patients without a history of allergic diseases, those with the history: OR = 2.159, 95% CI: 1.239, 3.761), and duration of COVID-19 infection (compared with the duration of < 5 days, duration of 6 - 7 days: OR = 3.043, 95% CI: 1.495, 6.193; duration of 8 - 14 days: OR = 2.364, 95% CI: 1.105, 5.506; duration of ≥ 15 days: OR = 4.406, 95% CI: 1.972, 9.849) were influencing factors for skin diseases after COVID-19 infection (all P < 0.05) . Conclusions:COVID-19 infection may lead to skin diseases such as urticaria, rosacea, hair loss, and Henoch-Sch?nlein purpura. Females, individuals with a history of allergic diseases, and those with a relatively long duration of COVID-19 infection were more prone to develop skin diseases after COVID-19 infection.
3.Noncoding RNA Terc-53 and hyaluronan receptor Hmmr regulate aging in mice.
Sipeng WU ; Yiqi CAI ; Lixiao ZHANG ; Xiang LI ; Xu LIU ; Guangkeng ZHOU ; Hongdi LUO ; Renjian LI ; Yujia HUO ; Zhirong ZHANG ; Siyi CHEN ; Jinliang HUANG ; Jiahao SHI ; Shanwei DING ; Zhe SUN ; Zizhuo ZHOU ; Pengcheng WANG ; Geng WANG
Protein & Cell 2025;16(1):28-48
One of the basic questions in the aging field is whether there is a fundamental difference between the aging of lower invertebrates and mammals. A major difference between the lower invertebrates and mammals is the abundancy of noncoding RNAs, most of which are not conserved. We have previously identified a noncoding RNA Terc-53 that is derived from the RNA component of telomerase Terc. To study its physiological functions, we generated two transgenic mouse models overexpressing the RNA in wild-type and early-aging Terc-/- backgrounds. Terc-53 mice showed age-related cognition decline and shortened life span, even though no developmental defects or physiological abnormality at an early age was observed, indicating its involvement in normal aging of mammals. Subsequent mechanistic study identified hyaluronan-mediated motility receptor (Hmmr) as the main effector of Terc-53. Terc-53 mediates the degradation of Hmmr, leading to an increase of inflammation in the affected tissues, accelerating organismal aging. adeno-associated virus delivered supplementation of Hmmr in the hippocampus reversed the cognition decline in Terc-53 transgenic mice. Neither Terc-53 nor Hmmr has homologs in C. elegans. Neither do arthropods express hyaluronan. These findings demonstrate the complexity of aging in mammals and open new paths for exploring noncoding RNA and Hmmr as means of treating age-related physical debilities and improving healthspan.
Animals
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Mice
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RNA, Untranslated/metabolism*
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Aging/genetics*
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Mice, Transgenic
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Telomerase/metabolism*
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RNA/genetics*
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Hippocampus/metabolism*
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Humans
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Mice, Inbred C57BL

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