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Fen Li

Southern Medical University

ORCID: 0000-0002-4964-6991

Publishes on Rheumatoid Arthritis Research and Therapies, Systemic Lupus Erythematosus Research, Spondyloarthritis Studies and Treatments. 156 papers and 2.8k citations.

156Publications
2.8kTotal Citations

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Top publicationsby citations

Effects of nonalcoholic fatty liver disease on the development of metabolic disorders
Jian‐Gao Fan, Fen Li, Xiao‐Bo Cai et al.|Journal of Gastroenterology and Hepatology|2006
Cited by 192Open Access

BACKGROUND AND AIM: Nonalcoholic fatty liver disease (NAFLD) is considered to be the liver component of metabolic syndrome. However, the impact of NAFLD on metabolic syndrome is unclear. The aim of this study was to explore the influence of NAFLD on the development of metabolic disorders. METHODS: Patients with NAFLD and an age, sex, and occupation-matched control group were recruited from employees of Bao-Steel Group (Shanghai, China) who had received medical check-ups biennially between 1995 and 2002. Anthropometric and laboratory data, and incidence of metabolic disorders were assessed at baseline and at follow-up of at least 4 years. SPSS 11.5 was used for statistical analysis. RESULTS: The study consisted of 358 patients (326 men and 32 women) and 788 matched controls (711 men and 77 women) with a similar mean age of 39.0 years and median follow-up of 6 years. At the end of follow-up, incidence of obesity (47.6% vs 19.5%), hypertension (69.6% vs 16.3%), hypertriglyceridemia (39.1% vs 16.3%), hypercholesterolemia (24.5% vs 17.3%), impaired fasting glucose (IFG) (25.1% vs 11.6%), diabetes mellitus (20.3% vs 5.2%) and multiple metabolic disorders (MMD) (56.3% vs 16.3%) were significantly higher in the fatty liver group than the control group. Interestingly, the mean alanine aminotransferase (ALT) level in patients with fatty liver significantly decreased at follow-up compared with baseline (28.56 +/- 18.86 vs 31.51 +/- 18.34 U/L, P < 0.05). To separate the effects of obesity from fatty liver, the subjects were re-classified according to the presence of obesity and fatty liver at baseline. The incidence of hypertension (61.1% vs 41.3%), hypertriglyceridemia (38.1% vs 15.0%), hypercholesterolemia (29.9% vs 16.6%), IFG (21.3% vs 10.0%) and diabetes (11.1% vs 4.3%) were significantly higher in the fatty liver group without obesity (n = 84) than in the group with without fatty liver or obesity (n = 614). In addition, the incidence of hypertension (72.9% vs 57.4%), hypertriglyceridemia (39.4% vs 22.7%) and diabetes (23.2% vs 8.4%) was higher in the group with fatty liver and obesity (n = 274) than in the group with obesity alone (n = 174). CONCLUSIONS: The presence of NAFLD might predict the development of metabolic disorders due to insulin resistance, rather than obesity itself. ALT levels decreased over time in patients with fatty liver.

Feature extraction and classification of heart sound using 1D convolutional neural networks
Fen Li, Ming Liu, Yuejin Zhao et al.|EURASIP Journal on Advances in Signal Processing|2019
Cited by 142Open Access

Abstract We proposed a one-dimensional convolutional neural network (CNN) model, which divides heart sound signals into normal and abnormal directly independent of ECG. The deep features of heart sounds were extracted by the denoising autoencoder (DAE) algorithm as the input feature of 1D CNN. The experimental results showed that the model using deep features has stronger anti-interference ability than using mel-frequency cepstral coefficients, and the proposed 1D CNN model has higher classification accuracy precision, higher F -score, and better classification ability than backpropagation neural network (BP) model. In addition, the improved 1D CNN has a classification accuracy rate of 99.01%.

Telitacicept in patients with active systemic lupus erythematosus: results of a phase 2b, randomised, double-blind, placebo-controlled trial
Di Wu, Jing Li, Dong Xu et al.|Annals of the Rheumatic Diseases|2023
Cited by 135Open Access

OBJECTIVES: This phase 2b, randomised, double-blind, placebo-controlled trial evaluated the efficacy and safety of telitacicept, a novel fusion protein that neutralises signals of B lymphocyte stimulator and a proliferation-inducing ligand, in active systemic lupus erythematosus (SLE). METHODS: Adult patients with active SLE (n=249) were recruited from 29 hospitals in China and randomised 1:1:1:1 to receive subcutaneous telitacicept at 80 mg (n=62), 160 mg (n=63), 240 mg (n=62) or placebo (n=62) once weekly in addition to standard therapy. The primary endpoint was the proportion of patients achieving an SLE Responder Index 4 (SRI-4) response at week 48. Missing data were imputed using the last observation carried forward method. RESULTS: At week 48, the proportion of patients achieving an SRI-4 response was 75.8% in the 240 mg telitacicept group, 68.3% in the 160 mg group, 71.0% in the 80 mg group and 33.9% in the placebo group (all p<0.001). Significant treatment responses were observed in secondary endpoints, including a ≥4-point reduction on the Systemic Lupus Erythematosus Disease Activity Index, a lack of Physician's Global Assessment score worsening and a glucocorticoid dose reduction in the 240 mg group. Telitacicept was well tolerated, and the incidence of adverse events and serious adverse events was similar between the telitacicept and placebo groups. CONCLUSIONS: This phase 2b clinical trial met the primary endpoint. All telitacicept groups showed a significantly higher proportion of patients achieving an SRI-4 response than the placebo group at week 48, and all doses were well tolerated. These results support further investigations of telitacicept in clinical trials involving more diverse populations and larger sample sizes. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registry (NCT02885610).