1.Phenylpropanoids from roots of Berberis polyantha.
Dong-Mei SHA ; Shuai-Cong NI ; Li-Niu SHA-MA ; Hai-Xiao-Lin-Mo MA ; Xiao-Yong HE ; Bin HE ; Shao-Shan ZHANG ; Ying LI ; Jing WEN ; Yuan LIU ; Xin-Jia YAN
China Journal of Chinese Materia Medica 2025;50(6):1564-1568
The chemical constituents were systematically separated from the roots of Berberis polyantha by various chromatographic methods, including silica gel column chromatography, HP20 column chromatography, polyamide column chromatography, reversed-phase C_(18) column chromatography, and preparative high-performance liquid chromatography. The structures of the compounds were identified by physicochemical properties and spectroscopic techniques(1D NMR, 2D NMR, UV, MS, and CD). Four phenylpropanoids were isolated from the methanol extract of the roots of B. polyantha, and they were identified as(2R)-1-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone-O-β-D-glucopyranoside(1), methyl 4-hydroxy-3,5-dimethoxybenzoate(2),(+)-syringaresinol(3), and syringaresinol-4-O-β-D-glucopyranoside(4). Compound 1 was a new compound, and other compounds were isolated from this plant for the first time. The anti-inflammatory activity of these compounds was evaluated based on the release of nitric oxide(NO) in the culture of lipopolysaccharide(LPS)-induced RAW264.7 macrophages. At a concentration of 10 μmol·L~(-1), all the four compounds inhibited the LPS-induced release of NO in RAW264.7 cells, demonstrating potential anti-inflammatory properties.
Plant Roots/chemistry*
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Animals
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Mice
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Berberis/chemistry*
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RAW 264.7 Cells
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Macrophages/immunology*
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Drugs, Chinese Herbal/isolation & purification*
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Nitric Oxide/metabolism*
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Molecular Structure
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Anti-Inflammatory Agents/isolation & purification*
2.Application of genome tagging technology in elucidating the function of sperm-specific protein 411 (Ssp411).
Xue-Hai ZHOU ; Min-Min HUA ; Jia-Nan TANG ; Bang-Guo WU ; Xue-Mei WANG ; Chang-Gen SHI ; Yang YANG ; Jun WU ; Bin WU ; Bao-Li ZHANG ; Yi-Si SUN ; Tian-Cheng ZHANG ; Hui-Juan SHI
Asian Journal of Andrology 2025;27(1):120-128
The genome tagging project (GTP) plays a pivotal role in addressing a critical gap in the understanding of protein functions. Within this framework, we successfully generated a human influenza hemagglutinin-tagged sperm-specific protein 411 (HA-tagged Ssp411) mouse model. This model is instrumental in probing the expression and function of Ssp411. Our research revealed that Ssp411 is expressed in the round spermatids, elongating spermatids, elongated spermatids, and epididymal spermatozoa. The comprehensive examination of the distribution of Ssp411 in these germ cells offers new perspectives on its involvement in spermiogenesis. Nevertheless, rigorous further inquiry is imperative to elucidate the precise mechanistic underpinnings of these functions. Ssp411 is not detectable in metaphase II (MII) oocytes, zygotes, or 2-cell stage embryos, highlighting its intricate role in early embryonic development. These findings not only advance our understanding of the role of Ssp411 in reproductive physiology but also significantly contribute to the overarching goals of the GTP, fostering groundbreaking advancements in the fields of spermiogenesis and reproductive biology.
Animals
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Female
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Humans
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Male
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Mice
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Spermatids/metabolism*
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Spermatogenesis/physiology*
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Spermatozoa/metabolism*
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Thioredoxins/genetics*
3.Gas Chromatography-Infrared Spectroscopy Assisted Gas Chromatography-Mass Spectrometry for Identification of Alkyl Phosphonate Isomers
Mei-Qi ZHAO ; Yu-Long LIU ; Qin LIU ; Wei YOU ; Jian-Feng WU ; Hai-Xia WU ; Jia CHEN ; Jian-Wei XIE
Chinese Journal of Analytical Chemistry 2025;53(2):269-277
Organophosphorus nerve agents are the most threatening chemical warfare agents and terrorist agents.The number of nerve agents and their related chemicals involved in the verification of Chemical Weapon Convention(CWC)exceeds ten million,with the majority being isomers.Accurate structural identification of these chemicals has always been one of the challenges in CWC related verification analysis.In this work,a total of 17 kinds of alkyl phosphonate isomers and structural analogs from 5 groups were designed and synthesized,and then analyzed by gas chromatography-mass spectrometry(GC-MS)and gas chromatography-infrared spectroscopy(GC-FTIR).The spectra of isomers or structural analogs obtained from two techniques as well as the structural information provided therein were compared and analyzed.The results showed that for isomers or structural analogs with similar MS spectra,FTIR spectra could provided more structural fingerprint information of compounds and had advantages in confirming structures.Combined with the excellent separation ability of GC,GC-FTIR can be used to assist GC-MS in the structural confirmation of alkyl phosphates,achieving rapid and accurate identification of isomers or structural analogues.
4.Risk factor analysis and nomogram prediction model construction for pneumonia complicating infectious mononucleosis in adults
Fei HU ; Mei-Juan PENG ; Xu-Yang ZHENG ; Rui LI ; Jia-Yi ZHAN ; Hai-Feng HU ; Hong-Kai XU ; Deng-Hui YU ; Hong DU ; Jian-Qi LIAN
Medical Journal of Chinese People's Liberation Army 2025;50(11):1359-1365
Objective To investigate the risk factors for pneumonia complicating infectious mononucleosis(IM)in adults and construct a nomogram prediction model.Methods A retrospective analysis was conducted on 198 IM patients admitted to the Second Affiliated Hospital of Air Force Medical University from January 2015 to December 2021.Patients were divided into pneumonia group(n=52)and non-pneumonia group(n=146)based on whether pulmonary infection occurred during hospitalization.The baseline data(age,gender,place of onset,etc.),clinical manifestations(maximum body temperature,lymph node enlargement,splenomegaly,etc.),and inflammatory indicators[white blood cell count(WBC),C-reactive protein(CRP),etc.]were compared between the two groups.Kaplan-Meier curves were plotted to analyze the key indicators affecting the hospital stay of IM patients.Multivariate logistic regression was used to analyze the independent risk factors for pneumonia complicating IM in adults and construct a nomogram prediction model based on the identified risk factors.The predictive efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve and the consistency of the model was assessed using the calibration curve.The fit of the model was evaluated using the Hosmer-Lemeshow test.Additionally,the sensitivity,specificity,and accuracy of the model were assessed using confusion matrix.Results Compared with non-pneumonia group,the pneumonia group had a significantly higher proportion of patients from rural areas,with body mass index(BMI)≥24 kg/m2,smoking history,hepatomegaly,fever duration of≥7 d,as well as increased total hospitalization costs and average daily hospitalization costs,and prolonged hospital stay(P<0.05).The proportion of patients with a history of antibiotic use was lower in the pneumonia group(P<0.05).Kaplan-Meier survival analysis showed that patients from rural areas,with BMI≥24 kg/m2,smoking history,no prophylactic use of antibiotics,fever duration≥7 d,and hepatomegaly had significantly prolonged hospital stays(P<0.05).Multivariate logistic regression analysis revealed that living in a rural area(OR=4.089,P<0.05),hepatomegaly(OR=4.082,P<0.05),and elevated WBC(OR=1.205,P<0.05)were independent risk factors for pneumonia complicating IM in adults,while the prophylactic use of antibiotics(OR=0.142,P<0.05)was an independent protective factor.The area under the ROC curve of the constructed nomogram prediction model was 0.827(95%CI 0.762-0.892),and the slope of the calibration curve was close to 1,and the Hosmer-Lemeshow test showed χ2=5.299,P=0.725,indicating good consistency and fit of the prediction model.The results of the confusion matrix assessment showed that the sensitivity of the model was 0.669(0.624-0.773),the specificity was 0.827(0.724-0.930),and the accuracy was 0.732(0.665-0.793).Conclusion The nomogram prediction model based on place of onset,hepatomegaly,the prophylactic use of antibiotics and WBC has excellent fit and discrimination,providing an effective quantitative tool for prognosis assessment of IM.
5.Effect of hand hygiene intervention on healthcare-associated case infection incidence from 2014 to 2022
Jia-Yan DING ; Rui-Hong SHEN ; Wen-Qin ZHOU ; Ya-Yun YUAN ; Mei HUANG ; Ya YANG ; Bing-Chao CAI ; Hai-Qun BAN ; Xiao-Fang FU
Chinese Journal of Infection Control 2024;23(2):208-213
Objective To observe the effect of multi-modal hand hygiene(HH)intervention on HH compliance,as well as the relationship between HH compliance and the healthcare-associated(HA)case infection incidence.Methods From 2014 to 2022,the infection control team in a tertiary first-class hospital implemented multi-modal HH intervention for health care workers(HCWs).The changing trend of HH monitoring data,the correlation be-tween HH compliance rate and HA case infection incidence were analyzed retrospectively.Results The consump-tion of HH products in the wards showed a stable upward trend;HH compliance rate increased from 64.98%in 2014 to 85.01%in 2022(P<0.001),and HA case infection incidence decreased from 1.21%to 0.83%(P<0.05).HH compliance rate was negatively correlated with HA case infection incidence(r=-0.369,P=0.027).HH compliance rates in different regions and job posts in each quarter were increased(P<0.001).For 5 different HH moments in each quarter,HH compliance rate fluctuated slightly before sterile manipulation and after touching patient;presented rising trend after touching surroundings around patient,and decreased before touching patient and after touching patient's body fluid since 2020(P<0.001).Conclusion Multi-modal HH intervention can im-prove the HH compliance of HCWs,improving their HH awareness is conducive to reducing HA case infection incidence.
6.Clinical characterization and prediction modeling of lung cancer patients with high energy metabolism
Jiang-Shan REN ; Jun-Mei JIA ; Ping SUN ; Mei PING ; Qiong-Qiong ZHANG ; Yan-Yan LIU ; He-Ping ZHAO ; Yan CHEN ; Dong-Wen RONG ; Kang WANG ; Hai-Le QIU ; Chen-An LIU ; Yu-Yu FAN ; De-Gang YU
Medical Journal of Chinese People's Liberation Army 2024;49(9):1004-1010
Objective To analyze the clinical characteristics of high energy metabolism in lung cancer patients and its correlation with body composition,nutritional status,and quality of life,and to develop a corresponding risk prediction model.Methods Retrospectively analyzed 132 primary lung cancer patients admitted to the First Hospital of Shanxi Medical University from January 2022 to May 2023,and categorized into high(n=94)and low energy metabolism group(n=38)based on their metabolic status.Differences in clinical data,body composition,Patient Generated Subjective Global Assessment(PG-SGA)scores,and European Organization for Research and treatment of Cancer(EORTC)Quality of Life Questionnaire-Core 30(QLQ-C30)scores were compared between the two groups.Logistic regression was used to identify the risk factors for high energy metabolism in lung cancer patients,and a risk prediction model was established accordingly;the Hosmer-Lemeshow test was used to assess the model fit,and the ROC curve was used to test the predictive efficacy of the model.Results Of the 132 patients with primary lung cancer,94(71.2%)exhibited high energy metabolism.Compared with low energy metabolism group,patients in high-energy metabolism group had a smoking index of 400 or higher,advanced disease staging of stage Ⅲ or Ⅳ,and higher levels of IL-6 level,low adiposity index,low skeletal muscle index,and malnutrition(P<0.05),and lower levels of total protein,albumin,hemoglobin level,and prognostic nutritional index(PNI)(P<0.05).There was no significant difference in age,gender,height,weight,BMI and disease type between the two groups(P>0.05).Logistic regression analysis showed that smoking index≥400,advanced disease stage,IL-6≥3.775 ng/L,and PNI<46.43 were independent risk factors for high energy metabolism in lung cancer patients.The AUC of the ROC curve for the established prediction model of high energy metabolism in lung cancer patients was 0.834(95%CI 0.763-0.904).Conclusion The high energy metabolic risk prediction model of lung cancer patients established in this study has good fit and prediction efficiency.
7.Chain of transmission and gene sequence analysis of SARS-CoV-2 Omicron BA.2.3.7 infection caused by a cold chain product
Xin-Xin YANG ; Zhi-Wei CHEN ; Min-Hong CHEN ; Hai-Mei JIA ; Xiao-Yang ZHANG
Chinese Journal of Zoonoses 2024;40(4):384-390
The aim of this study was to trace to origin of SARS-CoV-2 originating from imported cold-chain products re-sponsible for an outbreak that occurred on September 6-9,2022 in Mawei District,Fuzhou City,Fujian Province,China.Sam-ples from all positively infected persons and one positive sample from a swab of a cold-chain product during the outbreak were collected for gene sequencing.Epidemiological investigations were conducted on all positively infected persons to analyze the chain of transmission of the virus.Nucleic acids were detected by real-time fluorescence quantitative PCR,and the outbreak was characterized by a total of eight positive infections,which were asymptomatic.Whole-genome sequencing of three infected per-sons and one cold-chain product sample identified 75 nucleotides and 55 amino acid mutation sites of the BA.2.3.7 variant,with four highly homologous whole-genome sequences.These results confirmed that the outbreak was caused by exposure to impor-ted cold-chain products carrying the SARS-CoV-2 Omicron BA.2.3.7 strain.
8.Quality evaluation of Yanyangke Mixture
Xiao-Lian LIANG ; Xiong-Bin GUI ; Yong CHEN ; Zheng-Teng YANG ; Jia-Bao MA ; Feng-Xian ZHAO ; Hai-Mei SONG ; Jia-Ru FENG
Chinese Traditional Patent Medicine 2024;46(6):1781-1787
AIM To evaluate the quality of Yanyangke Mixture.METHODS The HPLC fingerprints were established,after which cluster analysis,principal component analysis and partial least squares discriminant analysis were performed.The contents of liquiritin,rosmarinic acid,sheganoside,irisgenin,honokiol,monoammonium glycyrrhizinate,irisflorentin,isoliquiritin and magnolol were determined,the analysis was performed on a 35 ℃ thermostatic Agilent ZORBAX SB-C18 column(5 μm,250 mmx4.6 mm),with the mobile phase comprising of 0.1%phosphoric acid-acetonitrile flowing at 1 mL/min in a gradient elution manner,and multi-wavelength detection was adopted.RESULTS There were ten common peaks in the fingerprints for twelve batches of samples with the similarities of more than 0.9.Various batches of samples were clustered into three types,three principal components displayed the acumulative variance contribution rate of 87.448%,peaks 5、14(honokiol),3(liquiritin),11(monoammonium glycyrrhizinate)and 15(asarinin)were quality markers.Nine constituents showed good linear relationships within their own ranges(r>0.999 0),whose average recoveries were 98.5%-103.6%with the RSDs of 0.92%-1.7%.CONCLUSION This stable and reliable method can provide a basis for the quality control of Yanyangke Mixture.
9.Population structure of food-borne Staphylococcus aureus in China.
Ya Hui GUO ; Zi Long HE ; Qing Long JI ; Hai Jian ZHOU ; Fan Liang MENG ; Xiao Feng HU ; Xiao Yue WEI ; Jun Cai MA ; Yu Hua YANG ; Wei ZHAO ; Li Jin LONG ; Xin WANG ; Jia Ming FAN ; Xiao Jie YU ; Jian Zhong ZHANG ; De HUA ; Xiao Mei YAN ; Hai Bin WANG
Chinese Journal of Epidemiology 2023;44(6):982-989
Objective: To understand the population structure of food-borne Staphylococcus (S.) aureus in China. Methods: Whole genome sequencing was used to analyze 763 food-borne S. aureus strains from 16 provinces in China from 2006 to 2020. Multilocus sequence typing (MLST), staphylococcal protein A gene (spa) typing, and staphylococcal chromosome cassettemec (SCCmec) typing were conducted, and minimum spanning tree based on ST types (STs) was constructed by BioNumerics 7.5 software. Thirty-one S. aureus strains isolated from imported food products were also included in constructing the genome phylogenetic tree. Results: A total of 90 STs (20 novel types) and 160 spa types were detected in the 763 S. aureus isolates. The 72 STs (72/90, 80.0%) were related to 22 clone complexes. The predominant clone complexes were CC7, CC1, CC5, CC398, CC188, CC59, CC6, CC88, CC15, and CC25, accounting for 82.44% (629/763) of the total. The STs and spa types in the predominant clone complexes changed over the years. The methicillin-resistant S. aureus (MRSA) detection rate was 7.60%, and 7 SCCmec types were identified. The ST59-t437-Ⅳa (17.24%, 10/58), ST239-t030-Ⅲ (12.07%, 7/58), ST59-t437-Ⅴb (8.62%, 5/58), ST338-t437-Ⅴb (6.90%, 4/58) and ST338-t441-Ⅴb (6.90%, 4/58) were the main types in MRSA strains. The genome phylogenetic tree had two clades, and the strains with the same CC, ST, and spa types clustered together. All CC7 methicillin sensitive S. aureus strains were included in Clade1, while 21 clone complexes and all MRSA strains were in Clade2. The MRSA strains clustered according to the SCCmec and STs. The strains from imported food products in CC398, CC7, CC30, CC12, and CC188 had far distances from Chinese strains in the tree. Conclusions: In this study, the predominant clone complexes of food-borne strains were CC7, CC1, CC5, CC398, CC188, CC59, CC6, CC88, CC15, and CC25, which overlapped with the previously reported clone complexes of hospital and community-associated strains in China, suggesting that close attention needs to be paid to food, a vehicle of pathogen transmission in community and food poisoning.
Humans
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Staphylococcus aureus/genetics*
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Methicillin-Resistant Staphylococcus aureus/genetics*
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Multilocus Sequence Typing
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Phylogeny
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Staphylococcal Infections/epidemiology*
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China/epidemiology*
10.Incidence and prognosis of olfactory and gustatory dysfunctions related to infection of SARS-CoV-2 Omicron strain: a national multi-center survey of 35 566 population.
Meng Fan LIU ; Rui Xia MA ; Xian Bao CAO ; Hua ZHANG ; Shui Hong ZHOU ; Wei Hong JIANG ; Yan JIANG ; Jing Wu SUN ; Qin Tai YANG ; Xue Zhong LI ; Ya Nan SUN ; Li SHI ; Min WANG ; Xi Cheng SONG ; Fu Quan CHEN ; Xiao Shu ZHANG ; Hong Quan WEI ; Shao Qing YU ; Dong Dong ZHU ; Luo BA ; Zhi Wei CAO ; Xu Ping XIAO ; Xin WEI ; Zhi Hong LIN ; Feng Hong CHEN ; Chun Guang SHAN ; Guang Ke WANG ; Jing YE ; Shen Hong QU ; Chang Qing ZHAO ; Zhen Lin WANG ; Hua Bin LI ; Feng LIU ; Xiao Bo CUI ; Sheng Nan YE ; Zheng LIU ; Yu XU ; Xiao CAI ; Wei HANG ; Ru Xin ZHANG ; Yu Lin ZHAO ; Guo Dong YU ; Guang Gang SHI ; Mei Ping LU ; Yang SHEN ; Yu Tong ZHAO ; Jia Hong PEI ; Shao Bing XIE ; Long Gang YU ; Ye Hai LIU ; Shao wei GU ; Yu Cheng YANG ; Lei CHENG ; Jian Feng LIU
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2023;58(6):579-588
Objective: This cross-sectional investigation aimed to determine the incidence, clinical characteristics, prognosis, and related risk factors of olfactory and gustatory dysfunctions related to infection with the SARS-CoV-2 Omicron strain in mainland China. Methods: Data of patients with SARS-CoV-2 from December 28, 2022, to February 21, 2023, were collected through online and offline questionnaires from 45 tertiary hospitals and one center for disease control and prevention in mainland China. The questionnaire included demographic information, previous health history, smoking and alcohol drinking, SARS-CoV-2 vaccination, olfactory and gustatory function before and after infection, other symptoms after infection, as well as the duration and improvement of olfactory and gustatory dysfunction. The self-reported olfactory and gustatory functions of patients were evaluated using the Olfactory VAS scale and Gustatory VAS scale. Results: A total of 35 566 valid questionnaires were obtained, revealing a high incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain (67.75%). Females(χ2=367.013, P<0.001) and young people(χ2=120.210, P<0.001) were more likely to develop these dysfunctions. Gender(OR=1.564, 95%CI: 1.487-1.645), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), oral health status (OR=0.881, 95%CI: 0.839-0.926), smoking history (OR=1.152, 95%CI=1.080-1.229), and drinking history (OR=0.854, 95%CI: 0.785-0.928) were correlated with the occurrence of olfactory and taste dysfunctions related to SARS-CoV-2(above P<0.001). 44.62% (4 391/9 840) of the patients who had not recovered their sense of smell and taste also suffered from nasal congestion, runny nose, and 32.62% (3 210/9 840) suffered from dry mouth and sore throat. The improvement of olfactory and taste functions was correlated with the persistence of accompanying symptoms(χ2=10.873, P=0.001). The average score of olfactory and taste VAS scale was 8.41 and 8.51 respectively before SARS-CoV-2 infection, but decreased to3.69 and 4.29 respectively after SARS-CoV-2 infection, and recovered to 5.83and 6.55 respectively at the time of the survey. The median duration of olfactory and gustatory dysfunctions was 15 days and 12 days, respectively, with 0.5% (121/24 096) of patients experiencing these dysfunctions for more than 28 days. The overall self-reported improvement rate of smell and taste dysfunctions was 59.16% (14 256/24 096). Gender(OR=0.893, 95%CI: 0.839-0.951), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), history of head and facial trauma(OR=1.180, 95%CI: 1.036-1.344, P=0.013), nose (OR=1.104, 95%CI: 1.042-1.171, P=0.001) and oral (OR=1.162, 95%CI: 1.096-1.233) health status, smoking history(OR=0.765, 95%CI: 0.709-0.825), and the persistence of accompanying symptoms (OR=0.359, 95%CI: 0.332-0.388) were correlated with the recovery of olfactory and taste dysfunctions related to SARS-CoV-2 (above P<0.001 except for the indicated values). Conclusion: The incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain is high in mainland China, with females and young people more likely to develop these dysfunctions. Active and effective intervention measures may be required for cases that persist for a long time. The recovery of olfactory and taste functions is influenced by several factors, including gender, SARS-CoV-2 vaccination status, history of head and facial trauma, nasal and oral health status, smoking history, and persistence of accompanying symptoms.
Female
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Humans
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Adolescent
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SARS-CoV-2
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Smell
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COVID-19/complications*
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Cross-Sectional Studies
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COVID-19 Vaccines
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Incidence
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Olfaction Disorders/etiology*
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Taste Disorders/etiology*
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Prognosis

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