1.Influence and mechanisms of metformin on the proliferation and apoptosis of human keloid fibroblasts
Menglu WU ; Rui WANG ; Xinnan ZHENG ; Juan WU ; Lin HE ; Jiansheng DIAO ; Maoguo SHU ; Huicong DU
Chinese Journal of Burns 2025;41(4):355-363
Objective:To investigate the influence and mechanisms of metformin on the proliferation and apoptosis of human keloid fibroblasts (Fbs).Methods:This study was an experimental research. The keloid tissue was collected from 7 keloid patients (2 males and 5 females, aged 20-65 years, with a disease course of more than 1 year) who underwent keloid excision surgery at the Department of Plastic, Cosmetic and Maxillofacial Surgery of the First Affiliated Hospital of Xi'an Jiaotong University from September 2020 to September 2023. The primary Fbs were isolated and cultured, and cells from passages 3 to 6 were used for experiments. The cells were divided into control group and metformin group, and were cultured in complete medium. The medium for metformin group was supplemented with metformin at a final molarity of 60 mmol/L. The cell counting kit-8 was used to assess the proliferation activity of cells in two groups after 12 and 24 hours of culture, and the proliferation inhibition rate of cells in metformin group after 12 and 24 hours of culture was calculated, with a sample size of 6. The apoptosis detection kit was used to detect the apoptotic distribution of cells in control group after 0 hour (immediately) of culture and in metformin group after 12 and 24 hours of culture, with a sample size of 3. The cell cycle detection kit was used to detect the cycle distribution of cells in two groups after 12 and 24 hours of culture, with a sample size of 3. The eukaryotic mRNA sequencing was performed on suitable number of cells of two groups after 24 hours of culture, and the Kyoto encyclopedia of genes and genomes functional annotation analysis and functional enrichment analysis were performed after screening for differentially expressed genes (DEGs) with significantly differential expression between two groups. Western blotting was conducted to detect the protein expressions of phosphatidylinositol 3-kinase (PI3K), phosphorylated protein kinase B (p-Akt), and phosphorylated mammalian target of rapamycin (p-mTOR) in the PI3K/protein kinase B (Akt)/mammalian target of rapamycin (mTOR) signaling pathway of cells in two groups after 24 hours of culture, with a sample size of 3.Results:After 12 and 24 hours of culture, the proliferation activity of cells in metformin group was significantly lower than that in control group (with t values of 4.70 and 24.02, respectively, P<0.05); the proliferation activity of cells in metformin group after 24 hours of culture was significantly lower than that after 12 hours of culture within the group ( t=4.73, P<0.05). Compared with that after 12 hours of culture within the group, the proliferation inhibition rate of cells in metformin group was significantly increased after 24 hours of culture ( t=5.29, P<0.05). Compared with that in control group after 0 hour of culture, the proportion of early apoptotic cells in metformin group was significantly increased (with t values of 6.62 and 4.58, respectively, P<0.05), and the proportion of early and late apoptotic cells was significantly increased after 12 and 24 hours of culture (with t values of 4.84 and 3.75, respectively, P<0.05). After 24 hours of culture, the proportion of late apoptotic cells in metformin group was significantly higher than that after 12 hours of culture within the group ( t=4.55, P<0.05). After 12 hours of culture, the proportion of S-phase cells in metformin group was significantly lower than that in control group ( t=5.90, P<0.05). After 24 hours of culture, compared with that in control group, the proportion of G0/G1-phase cells in metformin group was significantly increased ( t=5.36, P<0.05), while the proportion of G2/M-phase cells was significantly decreased ( t=17.63, P<0.05). The proportion of S-phase cells in metformin group after 24 hours of culture was significantly higher than that after 12 hours of culture within the group ( t=7.60, P<0.05). After 24 hours of culture, 4 814 DEGs with significantly differential expression were detected in the cells of metformin group compared with control group. The significantly upregulated and downregulated DEGs were mainly involved in biological functions related to signal transduction, cell growth and death, transport and catabolism, the endocrine system, the immune system, and cancer. The pathways that were significantly enriched with DEGs with significantly differential expression included the cell cycle and DNA replication, with the highest number of genes in the PI3K/Akt signaling pathway. After 24 hours of culture, the protein expressions of PI3K, p-Akt, and p-mTOR of cells in metformin group were 0.190±0.017, 0.170±0.017, and 0.247±0.005, respectively, which were significantly lower than 0.440±0.026, 0.300±0.060, and 0.547±0.025 in control group (with t values of 13.69, 3.61, and 20.12, respectively, P values all <0.05). Conclusions:Metformin can significantly inhibit the proliferation of human keloid Fbs through the PI3K/Akt/mTOR signaling pathway and effectively induce its apoptotic process, thereby exerting antifibrotic effects.
2.Influence and mechanisms of metformin on the proliferation and apoptosis of human keloid fibroblasts
Menglu WU ; Rui WANG ; Xinnan ZHENG ; Juan WU ; Lin HE ; Jiansheng DIAO ; Maoguo SHU ; Huicong DU
Chinese Journal of Burns 2025;41(4):355-363
Objective:To investigate the influence and mechanisms of metformin on the proliferation and apoptosis of human keloid fibroblasts (Fbs).Methods:This study was an experimental research. The keloid tissue was collected from 7 keloid patients (2 males and 5 females, aged 20-65 years, with a disease course of more than 1 year) who underwent keloid excision surgery at the Department of Plastic, Cosmetic and Maxillofacial Surgery of the First Affiliated Hospital of Xi'an Jiaotong University from September 2020 to September 2023. The primary Fbs were isolated and cultured, and cells from passages 3 to 6 were used for experiments. The cells were divided into control group and metformin group, and were cultured in complete medium. The medium for metformin group was supplemented with metformin at a final molarity of 60 mmol/L. The cell counting kit-8 was used to assess the proliferation activity of cells in two groups after 12 and 24 hours of culture, and the proliferation inhibition rate of cells in metformin group after 12 and 24 hours of culture was calculated, with a sample size of 6. The apoptosis detection kit was used to detect the apoptotic distribution of cells in control group after 0 hour (immediately) of culture and in metformin group after 12 and 24 hours of culture, with a sample size of 3. The cell cycle detection kit was used to detect the cycle distribution of cells in two groups after 12 and 24 hours of culture, with a sample size of 3. The eukaryotic mRNA sequencing was performed on suitable number of cells of two groups after 24 hours of culture, and the Kyoto encyclopedia of genes and genomes functional annotation analysis and functional enrichment analysis were performed after screening for differentially expressed genes (DEGs) with significantly differential expression between two groups. Western blotting was conducted to detect the protein expressions of phosphatidylinositol 3-kinase (PI3K), phosphorylated protein kinase B (p-Akt), and phosphorylated mammalian target of rapamycin (p-mTOR) in the PI3K/protein kinase B (Akt)/mammalian target of rapamycin (mTOR) signaling pathway of cells in two groups after 24 hours of culture, with a sample size of 3.Results:After 12 and 24 hours of culture, the proliferation activity of cells in metformin group was significantly lower than that in control group (with t values of 4.70 and 24.02, respectively, P<0.05); the proliferation activity of cells in metformin group after 24 hours of culture was significantly lower than that after 12 hours of culture within the group ( t=4.73, P<0.05). Compared with that after 12 hours of culture within the group, the proliferation inhibition rate of cells in metformin group was significantly increased after 24 hours of culture ( t=5.29, P<0.05). Compared with that in control group after 0 hour of culture, the proportion of early apoptotic cells in metformin group was significantly increased (with t values of 6.62 and 4.58, respectively, P<0.05), and the proportion of early and late apoptotic cells was significantly increased after 12 and 24 hours of culture (with t values of 4.84 and 3.75, respectively, P<0.05). After 24 hours of culture, the proportion of late apoptotic cells in metformin group was significantly higher than that after 12 hours of culture within the group ( t=4.55, P<0.05). After 12 hours of culture, the proportion of S-phase cells in metformin group was significantly lower than that in control group ( t=5.90, P<0.05). After 24 hours of culture, compared with that in control group, the proportion of G0/G1-phase cells in metformin group was significantly increased ( t=5.36, P<0.05), while the proportion of G2/M-phase cells was significantly decreased ( t=17.63, P<0.05). The proportion of S-phase cells in metformin group after 24 hours of culture was significantly higher than that after 12 hours of culture within the group ( t=7.60, P<0.05). After 24 hours of culture, 4 814 DEGs with significantly differential expression were detected in the cells of metformin group compared with control group. The significantly upregulated and downregulated DEGs were mainly involved in biological functions related to signal transduction, cell growth and death, transport and catabolism, the endocrine system, the immune system, and cancer. The pathways that were significantly enriched with DEGs with significantly differential expression included the cell cycle and DNA replication, with the highest number of genes in the PI3K/Akt signaling pathway. After 24 hours of culture, the protein expressions of PI3K, p-Akt, and p-mTOR of cells in metformin group were 0.190±0.017, 0.170±0.017, and 0.247±0.005, respectively, which were significantly lower than 0.440±0.026, 0.300±0.060, and 0.547±0.025 in control group (with t values of 13.69, 3.61, and 20.12, respectively, P values all <0.05). Conclusions:Metformin can significantly inhibit the proliferation of human keloid Fbs through the PI3K/Akt/mTOR signaling pathway and effectively induce its apoptotic process, thereby exerting antifibrotic effects.
3.Clinical analysis of 346 minor patients with maxillofacial fractures
Kaixin YAN ; Maoye LI ; Xinnan CHANG ; Hui LI ; Xiaohui ZHENG ; Lei LIU
West China Journal of Stomatology 2024;42(3):340-345
Objective This study aims to analyze the clinical epidemiology,diagnostic and treatment characteristics of minor patients with maxillofacial fracture and provide a reference for the prevention and treatment.Methods The clinical data of minor patients with maxillofacial fracture in Department of Traumatic and Plastic Surgery,West China Hospital of Stomatology,Sichuan University,from January 1,2015 to December 31,2020 were retrospectively studied and statistically analyzed in terms of age,gender,etiology,anatomic sites and treatment modalities.Results The mean age of the patients was(10.65±5.15)years,and the male-to-female ratio was 1.91∶1.High fall was the primary cause of maxillofacial fractures in minors aged 0-6 years.Traffic accident injuries were the main cause of maxillofacial fractures in minors aged 7-12 and 13-17 years.About 65.13%of the midface and 83.08%non-condylar fractures were mainly treated by surgery,and condylar fractures were treated conservatively in 74.73%and by surgical treatment in 25.27%.Conclusion The etiology of maxillofacial fractures in minors differs at different ages,so prevention strategies should be adjusted according to age.Surgical treatment has become the preferred treatment modality for midface and non-condylar fractures.Conservative treatment is still the main treatment method for condylar fractures,but the proportion of surgical treatment increases.
4.Analysis of PM 2.5 main pollutant components and sources in two cities in north and south of China
Ying CAI ; Xun WANG ; Xinnan HU ; Daokui FANG ; Shuai JIANG ; Wei WANG ; Kai ZHENG ; Bingyu WANG ; Zhaohui ZHANG ; Xinyun XU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2020;38(5):353-357
Objective:To analyze the pollution characteristics and source of fine particulate matter (PM 2.5) in Shenzhen and Taiyuan, two cities in the north and south of China. Methods:PM 2.5 samples were collected from the year of 2017 to 2018. The levels of 10 heavy metal elements (Pb, Al, As, etc.) , 10 water soluble ions (F -, Cl -, SO 42-, etc.) and 16 polycyclic aromatic hydrocarbons (PAHs) (Nap, Acy, Ace, etc.) in PM 2.5 were detected by inductively coupled plasma mass spectrometry (ICP-MS) , ion Chromatography and high Performance Liquid Chromatography respectively. USA commercial carbon analysis was applied to detect organic carbon (OC) and elemental carbon (EC) . Source of PM 2.5 was analyzed by Factor analysis method. Results:The concentrations of Pb, Mn, As, Ni, F -, OC and EC in PM 2.5 of Taiyuan city were significantly higher than those of Shenzhen City, and the concentrations of Na +, Cl -, and PO 43- were lower than those of Shenzhen City ( P<0.05) . Except naphthalene, the concentrations of PAHs in PM 2.5 of Taiyuan city were higher than those of Shenzhen City ( P<0.05) . The main sources of metal elements and water soluble ions in PM 2.5 in Shenzhen included: industry/vehicle exhaust factor (42.64%) , construction/soil factor (34.22%) and ocean factor (17.93%) . PAHs in PM 2.5 in Shenzhen mostly came from fuel oil/vehicle exhaust factor (38.58%) , coal combustion factor (30.78%) and biomass combustion factor (24.38%) . Differently, the main sources of metal elements and water soluble ions in PM 2.5 in Taiyuan included: construction factor (30.26%) , fuel oil and coal combustion factor (24.58%) , secondary particles/soil factor (22.03%) and industry factor (18.89%) . PAHs in PM 2.5 were from fuel oil/vehicle exhaust factor (54.71%) and coal combustion factor (43.54%) in Taiyuan. Conclusion:The sources of PM 2.5 pollution are different between Shenzhen and Taiyuan, the occupational health management must be continuously strengthened, measures should be strengthened contrapuntally on the basis of different pollution sources.
5.Analysis of PM 2.5 main pollutant components and sources in two cities in north and south of China
Ying CAI ; Xun WANG ; Xinnan HU ; Daokui FANG ; Shuai JIANG ; Wei WANG ; Kai ZHENG ; Bingyu WANG ; Zhaohui ZHANG ; Xinyun XU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2020;38(5):353-357
Objective:To analyze the pollution characteristics and source of fine particulate matter (PM 2.5) in Shenzhen and Taiyuan, two cities in the north and south of China. Methods:PM 2.5 samples were collected from the year of 2017 to 2018. The levels of 10 heavy metal elements (Pb, Al, As, etc.) , 10 water soluble ions (F -, Cl -, SO 42-, etc.) and 16 polycyclic aromatic hydrocarbons (PAHs) (Nap, Acy, Ace, etc.) in PM 2.5 were detected by inductively coupled plasma mass spectrometry (ICP-MS) , ion Chromatography and high Performance Liquid Chromatography respectively. USA commercial carbon analysis was applied to detect organic carbon (OC) and elemental carbon (EC) . Source of PM 2.5 was analyzed by Factor analysis method. Results:The concentrations of Pb, Mn, As, Ni, F -, OC and EC in PM 2.5 of Taiyuan city were significantly higher than those of Shenzhen City, and the concentrations of Na +, Cl -, and PO 43- were lower than those of Shenzhen City ( P<0.05) . Except naphthalene, the concentrations of PAHs in PM 2.5 of Taiyuan city were higher than those of Shenzhen City ( P<0.05) . The main sources of metal elements and water soluble ions in PM 2.5 in Shenzhen included: industry/vehicle exhaust factor (42.64%) , construction/soil factor (34.22%) and ocean factor (17.93%) . PAHs in PM 2.5 in Shenzhen mostly came from fuel oil/vehicle exhaust factor (38.58%) , coal combustion factor (30.78%) and biomass combustion factor (24.38%) . Differently, the main sources of metal elements and water soluble ions in PM 2.5 in Taiyuan included: construction factor (30.26%) , fuel oil and coal combustion factor (24.58%) , secondary particles/soil factor (22.03%) and industry factor (18.89%) . PAHs in PM 2.5 were from fuel oil/vehicle exhaust factor (54.71%) and coal combustion factor (43.54%) in Taiyuan. Conclusion:The sources of PM 2.5 pollution are different between Shenzhen and Taiyuan, the occupational health management must be continuously strengthened, measures should be strengthened contrapuntally on the basis of different pollution sources.

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