5 results on '"Yao, Lingling"'
Search Results
2. Positive association between insulin resistance and fatty liver disease in psoriasis: evidence from a cross-sectional study.
- Author
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Zhong X, Huang D, Chen R, Yao L, Ma R, Yu Y, Jiang Y, Kong L, Lu J, Li Y, and Shi Y
- Subjects
- Adult, Aged, Female, Humans, Male, Middle Aged, China, Cross-Sectional Studies, Neutrophils immunology, Neutrophils metabolism, Prospective Studies, Insulin Resistance, Non-alcoholic Fatty Liver Disease blood, Psoriasis immunology, Psoriasis blood, Psoriasis complications
- Abstract
Background: Fatty liver disease (FLD) is a common comorbidity of psoriasis and is often referred to as non-alcoholic fatty liver disease (NAFLD). However, the role of inflammation or insulin resistance (IR) in FLD is inconclusive. The study aims to explore whether FLD in psoriasis patients is more related to insulin resistance or systemic inflammation level., Methods: Data for this study were collected from the Shanghai Psoriasis Effectiveness Evaluation Cohort, a prospective cohort that examines psoriasis characteristics in the Chinese population. IR was assessed using the triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) indicators. Systemic non-specific inflammation was assessed using the neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), and systemic immune inflammation index (SII)., Results: The analysis included a total of 647 patients. Subsequent logistic regression analysis revealed that NLR, dNLR, and SII were not significantly associated with FLD in psoriasis patients, while TyG and TyG-BMI showed significant associations with FLD. Subgroup analysis indicated that in the majority of subgroups, TyG and TyG-BMI were significantly associated with FLD, particularly TyG-BMI. Excluding individuals with methotrexate and acitretin resulted in consistent findings with the main analysis. Further analysis revealed a significantly higher diagnosis rate of metabolic-associated fatty liver disease (MAFLD) compared to NAFLD., Conclusions: Metabolic factors play a crucial role in FLD in patients with psoriasis, and TyG and TyG-BMI are potential predictors of FLD. Therefore, MAFLD can be recommend as a term to describe FLD in psoriasis patients., Trial Registration: https://www.chictr.org.cn/showproj.html?proj=58256, identifier ChiCTR2000036186. A multi-center clinical study of systemic treatment strategies for psoriasis in Chinese population. Registered 31 August 2020., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Zhong, Huang, Chen, Yao, Ma, Yu, Jiang, Kong, Lu, Li and Shi.)
- Published
- 2024
- Full Text
- View/download PDF
3. A 16S rRNA gene sequencing based study of oral microbiota in migraine patients in China.
- Author
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Jiang W, Wang T, Liu C, Deng M, Ren X, Wang F, Zhang Y, Yu X, Yao L, and Wang Y
- Subjects
- Adult, Bacteria classification, Biodiversity, Case-Control Studies, China, Female, Humans, Male, Middle Aged, Species Specificity, Microbiota genetics, Migraine Disorders microbiology, Mouth microbiology, RNA, Ribosomal, 16S genetics, Sequence Analysis, DNA
- Abstract
Migraine is a primary headache characterized by moderate or severe headache attacks, accompanied with reversible neurological and systemic symptoms. There are rare biomarkers for the disease. While emerging evidence has indicated the connection between gut microbiota and migraine, the relation between oral microbiota and migraine is barely known. Thus, the objective of the current study was to explore a possible correlation between oral microbiota and migraine. We compared the oral microbiota communities of migraine patients (26) with healthy subjects (29) via 16S rRNA gene sequencing. Alpha diversity indices were higher in migraine group compared with control group, whereas beta diversity indices also showed significant difference. A total of 23 genera were found differentially abundant between migraine and control groups. To conclude, there was a significant compositional difference in oral microbiota in migraine patients compared with healthy subjects.
- Published
- 2021
- Full Text
- View/download PDF
4. Ethanol Extract of Campsis grandiflora Flower and Its Organic Acid Components Have Inhibitory Effects on Autoinducer Type 1 Quorum Sensing.
- Author
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Zhang J, Xu F, Yao L, Wang L, Wang M, and Wang G
- Subjects
- Acids chemistry, Acids pharmacology, Biofilms drug effects, China, Drugs, Chinese Herbal pharmacology, Ethanol chemistry, Flowers chemistry, Humans, Plant Extracts chemistry, Bignoniaceae chemistry, Drugs, Chinese Herbal chemistry, Plant Extracts pharmacology, Quorum Sensing drug effects
- Abstract
Chinese herbs are a useful resource bank for natural drug development, and have attracted considerable attention to exploit quorum sensing inhibitors (QSIs). This study was designed to screen QSIs from raw Chinese herb materials. Of the 38 common herbs examined, the ethanol extract of Campsis grandiflora flower had the strongest QSI activity. The C. grandiflora flower ethanol extract (CFEE) was purified by HPD600, and the QSI activities were examined in further detail. CFEE inhibited violacein production of Chromobacterium violaceum 026 in a dose-dependent manner, and inhibit the swarming abilities of Escherichia coli K-12 and Pseudomonas aeruginosa PAO1. Furthermore, CFEE could inhibited biofilm formation and destroyed mature biofilms of E. coli K-12 and P. aeruginosa PAO1. The composition of CFEE was determined by UPLC-MS/MS to distinguish active QSI compounds, and 21 compounds were identified. In addition to gallic acid and caffeic acid, two organic acids, malic acid and succinic acid, were confirmed for the first time to have autoinducer type 1 QSI activities. Therefore, CFEE is a potential QSI that could be used as a novel antimicrobial agent and should be considered for medicinal development.
- Published
- 2020
- Full Text
- View/download PDF
5. Predictors of relapse in patients with medication overuse headache in Shanghai: A retrospective study with a 6-month follow-up.
- Author
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Yuan X, Jiang W, Ren X, Liu C, Pan Y, Zou J, Jiang X, Ji W, Li Y, Feng Z, Yao L, and Wang Y
- Subjects
- Adult, Analgesics adverse effects, China, Female, Follow-Up Studies, Humans, Male, Middle Aged, Prognosis, Recurrence, Retrospective Studies, Risk Factors, Surveys and Questionnaires, Headache Disorders, Secondary etiology
- Abstract
Medication overuse headache (MOH) has a high relapse rate and disease heterogeneity. This study aimed to determine the predictors of MOH relapse in patients through a 6-month follow-up in Shanghai. In this retrospective study, patients diagnosed with MOH from June 2016 to June 2017 were recruited and followed up for 6 months after withdrawal treatment in Renji Hospital in Shanghai. Patients' information was obtained using headache questionnaires. Follow-up was conducted via telephone interview. Patients were divided into relapse group and no-relapse group according to the outcomes after 6 months. This study enrolled 124 outpatients with MOH at baseline. 102 patients completed the follow up and were analysis finally. Demographics and clinical characteristics were compared between the relapse (n = 39, 38.24%) and no-relapse (n = 63, 61.76%) group. Binary logistic regression analysis was performed, and two variables emerged as significant predictors of relapse before withdrawal; the headache frequency (day/month) was higher in the relapse group than in the no-relapse group [odds ratio (OR) 1.107, p = 0.008]. Furthermore, patients administered analgesics of ≥ 2 units per headache day had a higher risk of relapse [odds ratio (OR) 2.791, p = 0.038]. Headache frequency and analgesics units per headache day before withdrawal may be independent predictors of MOH relapse. Therefore, early identification of high-risk groups and enhancing patients' management could contribute to improving the prognosis of MOH., (Copyright © 2019 Elsevier Ltd. All rights reserved.)
- Published
- 2019
- Full Text
- View/download PDF
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