Objective: To investigate the effect of 1-acyl-sn-glycerol-3-phosphate acyltransferaseδ (APGAT4) on the growth and lenvatinib resistance of hepatocellular carcinoma (HCC), and provide novel targets for HCC treatment. Methods: Using the bioinformatics methods to screen out upregulated genes in lenvatinib resistant cell lines from GEO dataset and survival related genes from TCGA dataset. Immumohistochemical staining was used to detect the expression AGPAT4 in HCC tissues, and its correlation with patients' survival. CCK8, EdU, cell cycle, and cell apoptosis assays were used to investigate the impact of role AGPAT4 on the proliferation and lenvatinib reistance of HCC cells. AGPAT4 stable knockdown cell line and subcutaneous nude mouse model were established to test the therapeutic effects of Lenvatinib. Analysis of variance was used to compare the differences between data sets. Results: APGAT4 was the common factor that predicted poor survival and Lenvatinib resistance. The mRNA and protein levels of APGAT4 were significantly upregulated in HCC tissues compared to the para-tumor tissues (P < 0.05). Using siRNA could significantly knocked down the mRNA and protein expression of APGAT4 in HCC cell lines Hep3B and HCCLM3. Compared with the control group, the proliferation ability of HCC cell lines (Hep3B and HCCLM3) in APGAT4 knockdown group was significantly inhibited, and the cell cycle was arrested in G2/M phase (P < 0.05). In addition, compared to the control group, HCC cell lines (Hep3B and HCCLM3) in APGAT4 knockdown group showed significant decrease in the Lenvatinib half maximal inhibitory concentration, and were more sensitive to lenvatinib-induced apoptosis (P < 0.05). In HCC subcutaneous nude mouse model, compared to the control group, the growth of tumor in APGAT4 knockdown group was significantly suppressed, and more apoptosis cells were induced (P < 0.05). Conclusion: APGAT4 promotes the growth and Lenvatinib resistance of HCC, which is a potential target for HCC treatment. Targeting APGAT4 treatment is conducive to inhibit the growth and Lenvatinib resistance of HCC.
Animals ; Mice ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Mice, Nude ; Cell Line, Tumor ; Cell Proliferation ; RNA, Messenger ; Gene Expression Regulation, Neoplastic

Objective:To explore the psychological status of female patients with mandibular angle hypertrophy before and after receiving mandibular angle osteotomy (MAO) using psychological measurement methods.Methods:The study included 36 female patients (age ranged 18-35 years, with mean age of 23 years) who underwent bilateral mandibular angle osteotomy at the Department of Burns and Plastic Surgery, Naval Medical University. Symptom Checklist-90 (SCL-90), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS) were used to assess the patients′ psychological status before and after surgery. SPSS 18.0 was used to compare the preoperative and postoperative data with the national norms.Results:According to the SCL-90 questionnaire, the scores of the six factors, including obsessive-compulsive symptoms (2.24±0.43 vs. 1.62±0.58, P<0.01), interpersonal sensitivity (1.85±0.46 vs. 1.65±0.61, P=0.02), depression (1.91±0.43 vs. 1.50±0.59, P<0.01), anxiety (1.75±0.42 vs. 1.39±0.43, P<0.01), hostility (1.86±0.45 vs. 1.46±0.55, P<0.01), and paranoia (2.18±0.46 vs. 1.43±0.57, P<0.01) of patients before surgery were significantly higher than the national norms. One month after surgery, there was a significant improvement in SAS and SDS scores compared to preoperative scores ( t=8.0, 10.4, P<0.01). The SAS score decreased from 43.0±9.8 to 37.5±6.8, and the SDS score decreased from 47.1±10.6 to 39.4±7.5. There was no statistically significant difference in the depression and anxiety indices of SCL-90 compared to the national norms ( P>0.05). Conclusions:Mandibular angle osteotomy significantly improves the psychological health of female patients with mandibular angle hypertrophy and can alleviate the symptoms of anxiety and depression.

Objective:To explore the application of three-dimensional measurement data in the diagnosis and treatment of mandibular angle prominent in Shanghai female youth.Methods:The young females in Shanghai were selected from the Clinical Database of Shanghai Universal Medical Imaging Diagnostic Center in Xuhui and the Second Affiliated Hospital of Naval Medical University from January 2010 to December 2020. Three-dimensional reconstruction of the craniofacial region was performed using computer-aided technology, and the subjects were divided into prominent group, attractive group, and contrast group according to the three-dimensional reconstruction images and doctor’s evaluation results. The mandibular and facial regions of the three groups were measured in three dimensions. The measurement indicators included bone tissue indicators such as mandibular angle (∠Co-Go-Me), mandibular expansion angle (∠Go-Me-Go), mandibular body length/mandibular support height ratio (Go-Me/Co-Go), mandibular angle width/zygomatic width ratio (Go-Go/Zy-Zy), and mandibular width index (Go-Go/Co-Co); and the soft tissue indicators included mandibular angle (∠t-go’-gn), mandibular angle width/midface width ratio (go’-go’/zy’-zy’), and mandibular angle width/mandibular height ratio (go’-go’/s-gn). The data were analyzed using SPSS 18.0 software, with normally distributed metric data expressed as Mean±SD. One-way analysis of variance or Kruskal-Wallis rank sum test was used to compare the three groups, and LSD method was used for comparison among prominent group, contrast group and attractive group. Fisher discriminant analysis was used for indicators with statistical significance. P<0.05 was considered statistically significant. Results:A total of 200 young females in Shanghai were enrolled in this study. 73 cases were included in the prominent group, with an age of (26.1±3.2) years, body weight of (54.3±4.3) kg, and body mass index(BMI) of (21.3±1.9) kg/m 2; 32 cases in the attractive group, with an age of (25.3±3.1) years, body weight of (58.7±3.7) kg, and BMI of (20.0±1.5) kg/m 2; and 95 cases in the contrast group, with an age of (27.2±3.7) years, body weight of (53.3±3.4) kg, and BMI of (20.1±1.3) kg/m 2. There were no significant differences in age, body weight, and BMI among the three groups ( P>0.05). There were significant differences in the measurement values of indicators such as ∠Co-Go-Me, ∠Go-Me-Go, Go-Me/Co-Go, Go-Go/Co-Co, ∠t-go’-gn among the three groups ( P<0.01). The prominent group showed significant outward and posterior protrusion in the mandibular angle area compared with the contrast group in terms of ∠Co-Go-Me (111.69°±4.19° vs. 115.43°±3.01°), ∠Go-Me-Go (66.27°±4.51° vs. 64.19°±3.69°), and ∠t-go’-gn (126.13°±7.51° vs. 130.34°±7.21°) ( P<0.01). The attractive group showed significant differences compared with the contrast group in terms of ∠Co-Go-Me (121.61°±3.22° vs. 115.43°±3.01°), Go-Me/Co-Go (1.67±0.20 vs. 1.58±0.15), and ∠t-go’-gn (137.17°±7.57° vs. 130.34°±7.21°) ( P<0.01). The lower quartile of ∠Co-Go-Me in the prominent group was 110°, and the upper quartile of ∠GO-Me-Go was 72°, with a small overlap in the mode region compared with the other two groups. Three indicators, ∠Co-Go-Me ( D1), ∠Go-Me-Go ( D2), and Go-Me/Co-Go ( D3), were selected to establish Fisher discriminant functions. The Fisher discriminant function for prominent group was Z=0.237 D2-0.084 D1-5.813, with a discriminant rate of 60.3%, and for the attractive group was Z=0.257 D1-0.015 D3-28.610, with a Fisher discriminant rate of 85.3%. Conclusion:The ∠Co-Go-Me, ∠Go-Me-Go, ∠t-go’-gn, and other data in Shanghai female youth can be used to evaluate their mandibular contour morphology, providing a reference for the diagnosis and treatment of mandibular angle prominent. The ∠Co-Go-Me of the mandibular aesthetic group should approach 122°, and ∠Co-Go-Me<110° and ∠Go-Me-Go>72° can be used as preliminary indicators for the diagnosis of mandibular angle prominent in prominent group, guiding clinical practice.

Objective:To use the least square method to curve fit the mandibular contours of Chinese women, obtain an ideal fitting function model, and explore the effectiveness of using mathematical curves for bone cutting line design in mandibular osteotomy.Methods:(1) Female cranial CT data were selected from the Second Affiliated Hospital of Naval Medical University and Shanghai Universal Medical Imaging Diagnostic Center. The mandibular morphology of the CT reconstructed images was evaluated using the Likert scale, and samples were selected from individuals with mandibular angle hypertrophy, aesthetically pleasing mandibular morphology, and aesthetically pleasing appearance after osteotomy as references. The Python platform Spyder module was used to analyze the curve fitting of mandibular contour morphology and the goodness of fitting was measured by the coefficient of determination R2( R2 ≥ 0.800 was considered acceptable for the fitted function, while R2≥ 0.900 was deemed sufficient to meet clinical application requirements). The fitting degree of polynomial functions, logarithmic functions, and other mathematical curves in the facial contours of individuals with aesthetically pleasing mandibular morphology were analyzed to obtain an ideal mandibular contour curve fitting function model. (2) Patients with mandibular angle hypertrophy who underwent intraoral mandibular osteotomy from March 2020 to March 2021 at the Department of Plastic and Reconstructive Surgery of Second Affiliated Hospital of Naval Medical University were divided into a mathematical template group (guided by a mathematical curve-based bone cutting plan), a traditional template group (guided by traditional bone cutting templates), and a manual osteotomy group. Three-dimensional reconstruction technology was used to evaluate the efficacy postoperatively. Preoperative preparation time, bone cutting time, surgical time, and postoperative complications were compared among the three groups. Patient self-evaluation of surgical outcomes was assessed using the jawline component of the Face-Q questionnaire. Results:(1) A total of 205 female cranial CT data were selected, including 73 cases of mandibular angle hypertrophy, 32 cases of aesthetically pleasing mandibular morphology, and 5 cases of aesthetically pleasing appearance after osteotomy as reference samples for mandibular contour curve fitting. The result showed that the third-degree polynomial function ( R2=0.918±0.027) and logarithmic function ( R2=0.930±0.039) could be used to simulate the mandibular contour morphology in individuals with aesthetically pleasing mandibular morphology. (2) The mathematical template group (using logarithmic function for bone cutting design), traditional template group, and manual osteotomy group included 28, 14, and 11 patients with mandibular angle hypertrophy, respectively. All patients were satisfied with the postoperative mandibular contour morphology and no complications such as deformity or significant asymmetry were observed. The mathematical template group outperformed the manual osteotomy group in terms of the total score of the jawline questionnaire, surgical time, and bone cutting time(all P<0.01). The preoperative preparation time in the mathematical template group was shorter than that in the traditional template group [(82.39±9.77) min vs. (97.07±17.49) min, P<0.01], and the jawline questionnaire evaluation showed that the patients in the mathematical template group had higher scores in evaluating the lateral view of the mandible and the smoothness of the lower facial contour compared to the traditional template group [3.75±0.44 vs. 3.14±0.36, 3.71±0.46 vs. 3.36±0.50, both P<0.05]. Conclusion:Curve fitting based on the least square method can be used to simulate mandibular angle osteotomy. Models such as logarithmic functions can be used for preoperative design of mandibular osteotomy and have advantages in terms of contour smoothness and symmetry after surgery. Bone cutting design based on mathematical curves can meet patient demands and aesthetic standards, providing precise and individualized solutions for surgery.

Objective:To explore the application of three-dimensional measurement data in the diagnosis and treatment of mandibular angle prominent in Shanghai female youth.Methods:The young females in Shanghai were selected from the Clinical Database of Shanghai Universal Medical Imaging Diagnostic Center in Xuhui and the Second Affiliated Hospital of Naval Medical University from January 2010 to December 2020. Three-dimensional reconstruction of the craniofacial region was performed using computer-aided technology, and the subjects were divided into prominent group, attractive group, and contrast group according to the three-dimensional reconstruction images and doctor’s evaluation results. The mandibular and facial regions of the three groups were measured in three dimensions. The measurement indicators included bone tissue indicators such as mandibular angle (∠Co-Go-Me), mandibular expansion angle (∠Go-Me-Go), mandibular body length/mandibular support height ratio (Go-Me/Co-Go), mandibular angle width/zygomatic width ratio (Go-Go/Zy-Zy), and mandibular width index (Go-Go/Co-Co); and the soft tissue indicators included mandibular angle (∠t-go’-gn), mandibular angle width/midface width ratio (go’-go’/zy’-zy’), and mandibular angle width/mandibular height ratio (go’-go’/s-gn). The data were analyzed using SPSS 18.0 software, with normally distributed metric data expressed as Mean±SD. One-way analysis of variance or Kruskal-Wallis rank sum test was used to compare the three groups, and LSD method was used for comparison among prominent group, contrast group and attractive group. Fisher discriminant analysis was used for indicators with statistical significance. P<0.05 was considered statistically significant. Results:A total of 200 young females in Shanghai were enrolled in this study. 73 cases were included in the prominent group, with an age of (26.1±3.2) years, body weight of (54.3±4.3) kg, and body mass index(BMI) of (21.3±1.9) kg/m 2; 32 cases in the attractive group, with an age of (25.3±3.1) years, body weight of (58.7±3.7) kg, and BMI of (20.0±1.5) kg/m 2; and 95 cases in the contrast group, with an age of (27.2±3.7) years, body weight of (53.3±3.4) kg, and BMI of (20.1±1.3) kg/m 2. There were no significant differences in age, body weight, and BMI among the three groups ( P>0.05). There were significant differences in the measurement values of indicators such as ∠Co-Go-Me, ∠Go-Me-Go, Go-Me/Co-Go, Go-Go/Co-Co, ∠t-go’-gn among the three groups ( P<0.01). The prominent group showed significant outward and posterior protrusion in the mandibular angle area compared with the contrast group in terms of ∠Co-Go-Me (111.69°±4.19° vs. 115.43°±3.01°), ∠Go-Me-Go (66.27°±4.51° vs. 64.19°±3.69°), and ∠t-go’-gn (126.13°±7.51° vs. 130.34°±7.21°) ( P<0.01). The attractive group showed significant differences compared with the contrast group in terms of ∠Co-Go-Me (121.61°±3.22° vs. 115.43°±3.01°), Go-Me/Co-Go (1.67±0.20 vs. 1.58±0.15), and ∠t-go’-gn (137.17°±7.57° vs. 130.34°±7.21°) ( P<0.01). The lower quartile of ∠Co-Go-Me in the prominent group was 110°, and the upper quartile of ∠GO-Me-Go was 72°, with a small overlap in the mode region compared with the other two groups. Three indicators, ∠Co-Go-Me ( D1), ∠Go-Me-Go ( D2), and Go-Me/Co-Go ( D3), were selected to establish Fisher discriminant functions. The Fisher discriminant function for prominent group was Z=0.237 D2-0.084 D1-5.813, with a discriminant rate of 60.3%, and for the attractive group was Z=0.257 D1-0.015 D3-28.610, with a Fisher discriminant rate of 85.3%. Conclusion:The ∠Co-Go-Me, ∠Go-Me-Go, ∠t-go’-gn, and other data in Shanghai female youth can be used to evaluate their mandibular contour morphology, providing a reference for the diagnosis and treatment of mandibular angle prominent. The ∠Co-Go-Me of the mandibular aesthetic group should approach 122°, and ∠Co-Go-Me<110° and ∠Go-Me-Go>72° can be used as preliminary indicators for the diagnosis of mandibular angle prominent in prominent group, guiding clinical practice.

Objective:To use the least square method to curve fit the mandibular contours of Chinese women, obtain an ideal fitting function model, and explore the effectiveness of using mathematical curves for bone cutting line design in mandibular osteotomy.Methods:(1) Female cranial CT data were selected from the Second Affiliated Hospital of Naval Medical University and Shanghai Universal Medical Imaging Diagnostic Center. The mandibular morphology of the CT reconstructed images was evaluated using the Likert scale, and samples were selected from individuals with mandibular angle hypertrophy, aesthetically pleasing mandibular morphology, and aesthetically pleasing appearance after osteotomy as references. The Python platform Spyder module was used to analyze the curve fitting of mandibular contour morphology and the goodness of fitting was measured by the coefficient of determination R2( R2 ≥ 0.800 was considered acceptable for the fitted function, while R2≥ 0.900 was deemed sufficient to meet clinical application requirements). The fitting degree of polynomial functions, logarithmic functions, and other mathematical curves in the facial contours of individuals with aesthetically pleasing mandibular morphology were analyzed to obtain an ideal mandibular contour curve fitting function model. (2) Patients with mandibular angle hypertrophy who underwent intraoral mandibular osteotomy from March 2020 to March 2021 at the Department of Plastic and Reconstructive Surgery of Second Affiliated Hospital of Naval Medical University were divided into a mathematical template group (guided by a mathematical curve-based bone cutting plan), a traditional template group (guided by traditional bone cutting templates), and a manual osteotomy group. Three-dimensional reconstruction technology was used to evaluate the efficacy postoperatively. Preoperative preparation time, bone cutting time, surgical time, and postoperative complications were compared among the three groups. Patient self-evaluation of surgical outcomes was assessed using the jawline component of the Face-Q questionnaire. Results:(1) A total of 205 female cranial CT data were selected, including 73 cases of mandibular angle hypertrophy, 32 cases of aesthetically pleasing mandibular morphology, and 5 cases of aesthetically pleasing appearance after osteotomy as reference samples for mandibular contour curve fitting. The result showed that the third-degree polynomial function ( R2=0.918±0.027) and logarithmic function ( R2=0.930±0.039) could be used to simulate the mandibular contour morphology in individuals with aesthetically pleasing mandibular morphology. (2) The mathematical template group (using logarithmic function for bone cutting design), traditional template group, and manual osteotomy group included 28, 14, and 11 patients with mandibular angle hypertrophy, respectively. All patients were satisfied with the postoperative mandibular contour morphology and no complications such as deformity or significant asymmetry were observed. The mathematical template group outperformed the manual osteotomy group in terms of the total score of the jawline questionnaire, surgical time, and bone cutting time(all P<0.01). The preoperative preparation time in the mathematical template group was shorter than that in the traditional template group [(82.39±9.77) min vs. (97.07±17.49) min, P<0.01], and the jawline questionnaire evaluation showed that the patients in the mathematical template group had higher scores in evaluating the lateral view of the mandible and the smoothness of the lower facial contour compared to the traditional template group [3.75±0.44 vs. 3.14±0.36, 3.71±0.46 vs. 3.36±0.50, both P<0.05]. Conclusion:Curve fitting based on the least square method can be used to simulate mandibular angle osteotomy. Models such as logarithmic functions can be used for preoperative design of mandibular osteotomy and have advantages in terms of contour smoothness and symmetry after surgery. Bone cutting design based on mathematical curves can meet patient demands and aesthetic standards, providing precise and individualized solutions for surgery.

Wound repair is a common clinical problem, which seriously affects the quality of life of patients and also brings a heavy burden to the society. Hydrogel-based multifunctional dressing has shown strong potential in the treatment of acute and chronic wounds. In addition to its good histocompatibility, cell adhesion, and biodegradability, methacrylic anhydride gelatin (GelMA) hydrogel has also attracted much attention due to its low cost, mild reaction conditions, adjustable physicochemical properties, and wide clinical applications. In this paper, the characteristics of GelMA hydrogel and its research progress in wound repair are introduced, and the future development of multifunctional GelMA hydrogel dressing for wound treatment is prospected.
Humans ; Gelatin/chemistry* ; Hydrogels ; Anhydrides ; Quality of Life ; Methacrylates/chemistry*

Objective To explore the efficacy and safety of polyethylene glycol recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) in preventing chemotherapy-induced neutropenia in locally advanced non small cell lung cancer (NSCLC) patients at nutritional risk. Methods A total of 337 locally advanced NSCLC patients at nutritional risk were selected. They were randomly divided into three groups: 112 cases in the non-prophylactic drug group (control group), 112 cases in the prophylactic use of rhG-CSF treatment group (rhG-CSF group), and 113 cases in the prophylactic use of PEG-rhG-CSF treatment group (PEG-rhG-CSF group). The incidence and duration of neutropenia after chemotherapy and the ratio of CD4⁺/CD8⁺T cells in peripheral blood were observed. Results The incidences of neutropenia in the control group, rhG-CSF group, and PEG-rhG-CSF group were 67.97%, 41.57%, and 38.98% (P < 0.05), respectively. The incidences of grade Ⅲ-Ⅳ neutropenia in the three groups were 22.39%, 14.25%, and 11.14% (P < 0.05); moreover, the incidence of febrile neutropenia in the three groups was 3.55%, 1.84%, and 1.21% (P < 0.05); in addition, the ratios of CD4⁺/CD8⁺T cells in peripheral blood were 1.27±0.44, 1.41±0.52, and 1.49±0.42 (P < 0.05). The duration of grade Ⅲ-Ⅳ neutropenia and the time required for the neutrophil value to reach 2.0×10⁹/L from the lowest value in the PEG-rhG-CSF group were lower than those in the control and rhG-CSF groups (P < 0.05). Conclusion The PEG-rhG-CSF preventive treatment used in the course of chemoradiotherapy in locally advanced NSCLC patients at nutritional risk can reduce the incidence of neutropenia and improve immunologic function. PEG-rhG-CSF preventive treatment is worthy of clinical recommendation.

From the perspective view of Chinese medicine, the Gan (Liver) meridian of Foot-Jueyin starts from the great toe, running upward along the medial side of the thigh to the perineal area, where it curves around the external genitalia and goes up to the lower abdomen. In clinical practice, acupoints in the feet of the Gan meridian of Foot-Jueyin are used to treat the genitourinary and external genitalia diseases. Studies have shown that reproductive system diseases have specific pathological reactions in the places (radial side of tibia and foot) where Gan meridian of Foot-Jueyin passes by. Why does this happen? In this article, we begin by briefly reviewing the evidences linking foot and genitalia. We then explore the potential mechanism of the relationship between genitals and the Gan meridian of Foot-Jueyin. The brain cerebral cortex is characterized by cortical interactions. Numerous studies show that different cerebral cortex function areas (especially the adjacent areas) are overlapping and interact with each other. Finally, we presume that there is a specific connection between the feet and the genitals. Physiologically in the cortical homunculus, the genital area lies adjacent or overlapped to the foot areas, the two areas may interact with each other. The functional reorganization between different areas of the cerebral cortex under pathological conditions may be the underlying mechanism of the relationship between the feet and the genitals.

Cadaver ; Foramen Ovale ; Humans ; Punctures ; Robotics ; Tomography, X-Ray Computed