Objective:To investigate the effects of acute sleep deprivation (ASD) on hippocampal glucose metabolism and neuroinflammation in rat models.Methods:Twenty SD rats (10 males and 10 females) were divided into four groups (five in each group) by random sampling method: female ASD group, male ASD group, female control group, and male control group. Among them, the ASD group constructed the ASD model. After 72h sleep deprivation, all rats underwent 18F-FDG and N, N-diethyl-2-(2-(4-(2- 18F-fluoroethoxy)phenyl)-5, 7-dimethylpyrazolo[1, 5-a]pyrimidin-3-yl)acetamide ( 18F-DPA-714) microPET/CT brain imaging in 2d to compare the changes of 18F-FDG and 18F-DPA-714 SUV mean in the hippocampus of rats. Brain histopathology, immunohistochemistry and immunofluorescence staining were detected in rats. Independent-sample t test was used to analyze the data. Results:18F-FDG imaging showed the hippocampal SUV mean between ASD group and control group (female: 4.11±0.35 vs 1.89±0.28; male: 3.43±0.47 vs 2.02±0.54) were statistically significant ( t values: 9.65, 3.92, P values: <0.001, 0.002). 18F-DPA-714 imaging showed the hippocampal SUV mean between ASD group and control group (females: 0.28±0.01 vs 0.28±0.02; male: 0.26±0.02 vs 0.31±0.04) were not statistically significant ( t values: -0.18, -2.24, P values: 0.859, 0.056). The 18×10 3 translocator protein (TSPO) immunohistochemistry showed the expression in the hippocampal region of the brain between ASD group and control group (female: 0.19±0.02 vs 0.19±0.01; male: 0.21±0.01 vs 0.20±0.01) were not statistically different ( t values: -0.48, -1.67, P values: 0.651, 0.139). Immunofluorescence staining showed that microglial cytosol in the hippocampal region of the brain decreased after 72h of ASD, and the protrusion points and surrounding branches were significantly reduced. Conclusion:Increased hippocampal glucose metabolism in rats is observed after 72 h of ASD without significant neuroinflammation.

Metabolic syndrome is a group of clinical syndromes of metabolic disorders characterized by the in-dividual clustering of various disease states such as central obesity,hypertension,dyslipidemia,abnormal glucose metabo-lism,and hyperuricemia.This syndrome not only causes an increased hospitalization rate,complication rate,and mortali-ty but also is a metabolic disorder syndrome that can affect the prognosis of other diseases.It often leads to an increased risk of cardiovascular and cerebrovascular accidents in patients.Asprosin is a novel adipokine discovered in recent years that plays a crucial role in appetite regulation,adipose tissue remodeling,inflammatory response,and oxidative stress.More and more studies have found that asprosin is involved in the development of obesity and related metabolic syndrome,as well as its role in metabolic disorders such as diabetes and its chronic complications,insulin resistance,nonalcoholic fatty liver disease,and polycystic ovary syndrome.In this paper,we review the regulatory effect and mechanism of aspro-sin in obesity and related metabolic syndrome.We further elaborate on its regulatory mechanism and research status on metabolic disorders,providing new targets and ideas for improving obesity and other related metabolic diseases.

Objective To investigate the differential expression genes(DEGs)related to angiogenesis in rosacea(RA)by utilizing bioinformatics analysis in order to screen the key genes and verify their mRNA expression levels.Methods The gene microarray dataset GSE65914 was retrieved from the Gene Expression Omnibus(GEO)repository.Analyzed by R programming,the dataset was refined to identify DEGs related to RA,and then cross-referenced with angiogenesis-related genes from the GeneCards database to get a subset specific to RA angiogenesis.The process of identifying key genes was augmented by employing protein-protein interaction(PPI)network analysis and Cytoscape-based computational algorithms.The mRNA expression levels of the aforementioned pivotal genes were detected by real-time fluorescent quantitative reverse transcription PCR(RT-qPCR).Results A total of 947 RA-associated DEGs were identified from GEO dataset,and then 202 genes related to RA angiogenesis were further delineated.PPI network analysis and Cytoscape algorithm finally identified 3 key genes,that is,CXCL8,IL-1B,and STAT1.The results of RT-qPCR showed that the mRNA expression levels of MIP-2,GCP-2,IL-1B and STAT1 in RA lesions were significantly higher than those in normal controls(P<0.05).Conclusion With aid of bioinformatics analysis,our study has screened and validated key genes associated with angiogenesis in RA,namely CXCL8,IL-1B,and STAT1,which providing a theoretical basis for elucidating the potential mechanisms underlying RA-induced angiogenesis and developing targeted therapeutic strategies.

Metabolic syndrome is a group of clinical syndromes of metabolic disorders characterized by the in-dividual clustering of various disease states such as central obesity,hypertension,dyslipidemia,abnormal glucose metabo-lism,and hyperuricemia.This syndrome not only causes an increased hospitalization rate,complication rate,and mortali-ty but also is a metabolic disorder syndrome that can affect the prognosis of other diseases.It often leads to an increased risk of cardiovascular and cerebrovascular accidents in patients.Asprosin is a novel adipokine discovered in recent years that plays a crucial role in appetite regulation,adipose tissue remodeling,inflammatory response,and oxidative stress.More and more studies have found that asprosin is involved in the development of obesity and related metabolic syndrome,as well as its role in metabolic disorders such as diabetes and its chronic complications,insulin resistance,nonalcoholic fatty liver disease,and polycystic ovary syndrome.In this paper,we review the regulatory effect and mechanism of aspro-sin in obesity and related metabolic syndrome.We further elaborate on its regulatory mechanism and research status on metabolic disorders,providing new targets and ideas for improving obesity and other related metabolic diseases.

Objective:To investigate the effects of acute sleep deprivation (ASD) on hippocampal glucose metabolism and neuroinflammation in rat models.Methods:Twenty SD rats (10 males and 10 females) were divided into four groups (five in each group) by random sampling method: female ASD group, male ASD group, female control group, and male control group. Among them, the ASD group constructed the ASD model. After 72h sleep deprivation, all rats underwent 18F-FDG and N, N-diethyl-2-(2-(4-(2- 18F-fluoroethoxy)phenyl)-5, 7-dimethylpyrazolo[1, 5-a]pyrimidin-3-yl)acetamide ( 18F-DPA-714) microPET/CT brain imaging in 2d to compare the changes of 18F-FDG and 18F-DPA-714 SUV mean in the hippocampus of rats. Brain histopathology, immunohistochemistry and immunofluorescence staining were detected in rats. Independent-sample t test was used to analyze the data. Results:18F-FDG imaging showed the hippocampal SUV mean between ASD group and control group (female: 4.11±0.35 vs 1.89±0.28; male: 3.43±0.47 vs 2.02±0.54) were statistically significant ( t values: 9.65, 3.92, P values: <0.001, 0.002). 18F-DPA-714 imaging showed the hippocampal SUV mean between ASD group and control group (females: 0.28±0.01 vs 0.28±0.02; male: 0.26±0.02 vs 0.31±0.04) were not statistically significant ( t values: -0.18, -2.24, P values: 0.859, 0.056). The 18×10 3 translocator protein (TSPO) immunohistochemistry showed the expression in the hippocampal region of the brain between ASD group and control group (female: 0.19±0.02 vs 0.19±0.01; male: 0.21±0.01 vs 0.20±0.01) were not statistically different ( t values: -0.48, -1.67, P values: 0.651, 0.139). Immunofluorescence staining showed that microglial cytosol in the hippocampal region of the brain decreased after 72h of ASD, and the protrusion points and surrounding branches were significantly reduced. Conclusion:Increased hippocampal glucose metabolism in rats is observed after 72 h of ASD without significant neuroinflammation.

Iron metabolism plays a regulatory role in various metabolic diseases, and excessive iron accumulation can increase the risk of metabolic diseases, especially type 2 diabetes mellitus (T2DM). Pathological processes such as iron deposition, iron overload, and ferroptosis can activate oxidative stress, lipid peroxidation, autophagy, and other processes, promote the amplification of inflammatory reactions and the reduction of antioxidant capacity, gradually decline the function of pancreatic islet β-cells, thereby promoting the occurrence and development of T2DM. Glucagon-like peptide-1 (GLP-1) is a physiological hormone secreted by intestinal L cells. GLP-1 analogs or GLP-1 receptor agonists can regulate the body's iron metabolism process, inhibit iron deposition, iron overload, and ferroptosis-related inflammatory reactions, promote the proliferation and differentiation of pancreatic islet β-cells, thereby reducing insulin resistance, inhibiting endothelial cell damage, and playing an important role in the prevention and treatmentof T2DM and its complications.

Objective To observe the clinical efficacy of autologous hair follicle stem cell transplantation for hair restoration in patients with alopecia. Methods Ten patients with alopecia, including five with androgenic alopecia and five with seborrheic alopecia, were selected from November 2022 to May 2023. They were treated with autologous hair follicle stem cell transplantation. Data before treatment were used as the control group, and data after treatment were used as the study group. Follow-up was conducted for 3 to 8 months. The FPF scoring system was designed to collect data and evaluate the treatment effect. Results Nine patients had an improvement score of ≥7 points, and one patient had an improvement score of 2 points, with a treatment excellence rate of 90% (9/10). Compared with the total score of (2.81±0.92) points in the control group, the total score of the study group was (9.00±2.21) points, and the difference was statistically significant (P < 0.001). Conclusion Autologous hair follicle stem cell transplantation for hair restoration is safe and effective, and has a broad range of indications.

Objective:To automatically synthesize Al 18F-fibroblast activation protein inhibitor (FAPI)-74, and explore its value of clinical application. Methods:Al 18F-FAPI-74 was synthesized automatically by the commercial synthesis module CFN-MPS-100, and its yield, radiochemical purity and stability were determined. Sixteen normal Kunming (KM) mice were randomly divided into 4 groups and euthanized at 10, 30, 60 and 90 min after Al 18F-FAPI-74 injection, and the biodistribution was measured. MicroPET/CT dynamic scanning (60 min) was performed in 5 rat pancreatic tumor-bearing BALB/c nude mice to observe the tumor uptake. Al 18F-FAPI-74 PET/CT imaging was performed on 3 volunteers (1 male, 2 females; age: 37, 41, 43 years) to evaluate the clinical application value of Al 18F-FAPI-74. Results:The automated synthesis time of Al 18F-FAPI-74 was about 35 min, with the synthesis yield of (21.34±3.86)% (without attenuation correction, n=5) and the radiochemical purity more than 99%. The radiochemical purity was still more than 96% after placement at 37 ℃ for 6 h. Biodistribution in normal mice and microPET/CT dynamic scanning in tumor-bearing nude mice showed that consistently high uptake in the kidneys and bladder, and the tumor uptake was the highest at 20 min, and the maximum tumor-to-muscle ratio was 3.16±0.01 at 60 min. PET/CT imaging on volunteers showed that there was a small amount of uptake in myocardium, most organs such as the liver and lung had background uptake, and the maximum SUV max of persistent high uptake of tumor was 17.08. Conclusions:Al 18F-FAPI-74 has the advantages of simple synthesis, high yield, stable quality and good imaging performance in mice and volunteers. It is a kind of imaging agent that meets the requirements of clinical diagnosis.

Objective:To improve the quality of 18F-fluorodeoxyglucose (FDG) PET images at different acquisition times through deep learning (DL) PET image reconstruction methods. Methods:A total of 45 patients (20 males, 25 females; age (52.0±13.6) years) with malignant tumors and PET/CT scans from September 2020 to October 2020 in the Department of Nuclear Medicine of the First Hospital of Shanxi Medical University were included in this retrospective study. The short acquisition time 30 s/bed PET images from the raw list mode were selected as the input of DL model. DL image reconstruction model, based on the Unet algorithm, was trained to output imitated PET images with full dose standard acquisition time (3 min). The image quality evaluation and quantitative analysis were carried out for four groups of images: DL images, 30 s, 90 s, and 120 s images, respectively. The quality of PET images in four groups was evaluated using the five-point method. Liver background activities, lesions quantification parameters (maximum standardized uptake value (SUV max), mean standardized uptake value (SUV mean), standard deviation (SD), signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR)), and first-order texture features (skewness, kurtosis, uniformity, entropy) were measured. Kappa test, χ2 test and one-way analysis of variance (least significant difference t test) were used for data analysis. Results:The image quality scores between four groups were highly consistent ( Kappa=0.799, P<0.001). The number of patients with scores≥3 in DL, 30 s, 90 s and 120 s groups were 6, 4, 7 and 8, respectively ( χ2=125.47, P<0.001). The liver SD of DL group was significantly lower than that of 30 s group (0.26±0.07 vs 0.43±0.11; F=3.58, t=-7.91, P<0.05). The liver SNR of DL group was higher than that of 30 s group (11.04±4.36 vs 5.41±1.41; F=10.22, t=5.40, P<0.05). The liver SD and SNR of DL group were similar to those of 90 s group (0.39±0.16, 8.46±3.34; t values: -0.87 and 2.17, both P>0.05). In 18 tumor lesions with high uptake, SNR and CNR of DL group were significantly higher than those of 30 s group (60.21±29.26 vs 38.38±16.54, 22.26±15.85 vs 15.41±9.51; F values: 13.09 and 7.05; t values: 5.20 and 4.04, both P<0.001). There were statistically significant differences among four groups in the first-order texture features ( F values: 4.30-9.65, all P<0.05), but there was no significant difference between DL group and 120 s group ( t values: from -1.25 to 0.15, all P>0.05). Conclusion:DL reconstruction model can improve the quality of short-frame PET images, which meets the needs of clinical diagnosis, efficacy evaluation and radiomics research.

Chronic hepatitis B (CHB) is a global epidemic disease caused by hepatitis B virus that can lead to hepatic failure, even liver cirrhosis and hepatocellular carcinoma. The occurrence and development of CHB are closely related to the changes in the gut microbiota communities. To explore the relationship between the structure of gut microbiota and liver biochemical indicators, 14 CHB patients (the CHB group) and 11 healthy people (the CN group) were randomly enrolled in this study. Our results demonstrate that CHB caused changes in the gut microbiota communities and biochemical indicators, such as alanine transaminase, total bilirubin and gamma glutamyl transferase. Furthermore, CHB induced imbalance of the gut microbiota. Prevotella, Blautia, Ruminococcus, Eubacterium eligens group, Bacteroides uniformis and Ruminococcus sp. 5_1_39BFAA were associated with the critical biochemical indicators and liver injury, suggesting a new approach to CHB treatment.
Bacteroides ; Eubacterium ; Gastrointestinal Microbiome ; Hepatitis B virus ; Hepatitis B, Chronic ; Humans ; Liver Cirrhosis ; Liver Neoplasms