Objective:To investigate the feasibility of deep learning reconstruction (DLR) algorithm combined with a dual-low protocol (low radiation dose and low contrast medium dose) for thoracoabdominal aortic CT angiography (CTA).Methods:This cross-sectional study prospectively enrolled 56 patients suspected of aortic diseases who underwent aortic CTA at China-Japan Friendship Hospital from June 2023 to June 2024. All patients were randomly divided into two groups: Group A (28 cases) underwent CTA with a tube voltage of 100 kVp, automatic tube current modulation (noise index=10), and a contrast agent dose of 80 ml (flow rate 5 ml/s), with images reconstructed using the three-dimensional adaptive iterative dose reduction algorithm (AIDR). Group B (28 cases) underwent CTA with a tube voltage of 80 kVp, automatic tube current modulation (noise index=25), and a contrast agent dose of 40 ml (flow rate 3.5 ml/s), with images reconstructed using either the deep learning reconstruction algorithm-Advanced intelligent Clear-IQ Engine (AiCE subgroup) or the AIDR (AIDR subgroup). Two physicians evaluated the image quality of the three groups subjectively and objectively. Objective evaluation metrics included CT values, image noise (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) at the ascending aorta, carina-level descending aorta, celiac trunk-origin abdominal aorta, and common iliac bifurcation abdominal aorta carina. Subjective evaluation metrics included image quality and noise scores. Comparisons among the three datasets (Group A, AiCE subgroup, AIDR subgroup) were performed using one-way ANOVA or the Kruskal-Wallis test, with appropriate post-hoc tests for pairwise comparisons.Results:No significant differences were observed in CT values of the ascending aorta, descending aorta, and abdominal aorta between Group A and the AiCE subgroup or the AIDR subgroup ( P0.05). However, significant overall differences were found in SD, SNR, and CNR values for the ascending aorta, descending aorta, and abdominal aorta ( P0.05). Pairwise comparisons revealed that, except for no significant differences in SD, SNR, and CNR values of the ascending and descending aorta between Group A and the AiCE subgroup, and no significant difference in SNR values of the ascending and abdominal aorta between Group A and the AIDR subgroup ( P0.05), all other intergroup comparisons showed statistically significant differences ( P0.05). Significant overall differences were also observed in image quality and noise scores between Group A and the AiCE and AIDR subgroups ( P0.05). Except for no significant differences in image quality and noise scores between Group A and the AiCE subgroup ( P0.05), all other pairwise comparisons showed statistically significant differences ( P0.05). Conclusions:The application of deep learning reconstruction algorithm combined with a dual-low protocol in thoracoabdominal aortic CTA can reduce radiation dose and contrast agent dose while maintaining diagnostic image quality, demonstrating significant clinical value for widespread adoption.

Objective:To investigate the feasibility of deep learning reconstruction (DLR) algorithm combined with a dual-low protocol (low radiation dose and low contrast medium dose) for thoracoabdominal aortic CT angiography (CTA).Methods:This cross-sectional study prospectively enrolled 56 patients suspected of aortic diseases who underwent aortic CTA at China-Japan Friendship Hospital from June 2023 to June 2024. All patients were randomly divided into two groups: Group A (28 cases) underwent CTA with a tube voltage of 100 kVp, automatic tube current modulation (noise index=10), and a contrast agent dose of 80 ml (flow rate 5 ml/s), with images reconstructed using the three-dimensional adaptive iterative dose reduction algorithm (AIDR). Group B (28 cases) underwent CTA with a tube voltage of 80 kVp, automatic tube current modulation (noise index=25), and a contrast agent dose of 40 ml (flow rate 3.5 ml/s), with images reconstructed using either the deep learning reconstruction algorithm-Advanced intelligent Clear-IQ Engine (AiCE subgroup) or the AIDR (AIDR subgroup). Two physicians evaluated the image quality of the three groups subjectively and objectively. Objective evaluation metrics included CT values, image noise (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) at the ascending aorta, carina-level descending aorta, celiac trunk-origin abdominal aorta, and common iliac bifurcation abdominal aorta carina. Subjective evaluation metrics included image quality and noise scores. Comparisons among the three datasets (Group A, AiCE subgroup, AIDR subgroup) were performed using one-way ANOVA or the Kruskal-Wallis test, with appropriate post-hoc tests for pairwise comparisons.Results:No significant differences were observed in CT values of the ascending aorta, descending aorta, and abdominal aorta between Group A and the AiCE subgroup or the AIDR subgroup ( P0.05). However, significant overall differences were found in SD, SNR, and CNR values for the ascending aorta, descending aorta, and abdominal aorta ( P0.05). Pairwise comparisons revealed that, except for no significant differences in SD, SNR, and CNR values of the ascending and descending aorta between Group A and the AiCE subgroup, and no significant difference in SNR values of the ascending and abdominal aorta between Group A and the AIDR subgroup ( P0.05), all other intergroup comparisons showed statistically significant differences ( P0.05). Significant overall differences were also observed in image quality and noise scores between Group A and the AiCE and AIDR subgroups ( P0.05). Except for no significant differences in image quality and noise scores between Group A and the AiCE subgroup ( P0.05), all other pairwise comparisons showed statistically significant differences ( P0.05). Conclusions:The application of deep learning reconstruction algorithm combined with a dual-low protocol in thoracoabdominal aortic CTA can reduce radiation dose and contrast agent dose while maintaining diagnostic image quality, demonstrating significant clinical value for widespread adoption.

We report a case of a male patient who developed persistent fever and central nervous system symptoms after eating raw snails for 10 days. The patient was diagnosed with Angiostrongyliasis depended on the clinical presentation, epidemiological history, and etiological results. The patient recovered after receiving albendazole anthelmintic and dexamethasone anti-inflammatory therapy. This article incorporates literature review to sort out the diagnosis and treatment of this patient, in order to provide feasible reference for clinicians.

We report a case of a male patient who developed persistent fever and central nervous system symptoms after eating raw snails for 10 days. The patient was diagnosed with Angiostrongyliasis depended on the clinical presentation, epidemiological history, and etiological results. The patient recovered after receiving albendazole anthelmintic and dexamethasone anti-inflammatory therapy. This article incorporates literature review to sort out the diagnosis and treatment of this patient, in order to provide feasible reference for clinicians.

Lipophosphatidic acid(LTA)was used to stimulate Mac-T cells,and the expression lev-els and phosphorylation levels of key proteins of nuclear factor-κB(NF-κB)and mitogen-activated protein kinase(MAPK)signaling pathway and the expression levels of upstream key action factors TLR4 and MyD88 proteins were detected by Western blot,and EDU assay was used to detect cell proliferation levels and flow cytometry was used to detect apoptosis.The results showed that acti-vation of GPR120 significantly decreased the phosphorylation levels of LTA-induced NF-κB(P65 and IκBα)(P＜0.01)and MAPK(JNK,ERK,p38)(P＜0.01)in Mac-T cells;inhibition of GPR120 was able to upregulate LTA-induced NF-κB(p65 and IκBα)in Mac-T cells(P＜0.01)and MAPK(JNK,ERK,p38)phosphorylation levels(P＜0.01);and activation of GPR120 significantly allevia-ted LTA-induced upregulation of TLR4 and MyD88(P＜0.01);inhibition of GPR120 significantly exacerbated LTA-induced upregulation of TLR4 and MyD88(P＜0.05);LTA stimulation led to a trend of diminished Mac-T cell proliferation and significantly increased apoptosis,whereas activa-tion of the GPR120 gene significantly increased cell activity(P＜0.01),promoted cell proliferation and significantly reduced apoptosis(P＜0.05)thereby alleviating the damage to Mac-T cells by LTA;LTA stimulation led to a highly significant increase in apoptosis(P＜0.01).In contrast,acti-vation of the GPR120 gene significantly reversed the increase in the apoptosis rate of Mac-T cells induced by LTA(P＜0.01),while inhibition of the GPR120 gene enhanced the apoptosis-promo-ting effect of LTA(P＜0.05),indicating that activation of the GPR120 gene attenuated the in-crease of apoptosis rate caused by LTA-induced inflammatory Mac-T cells.The results suggest that GPR120 can regulate inflammation by mediating TLR4 and MyD88 expression to inhibit NF-κB/MAPK inflammatory pathway activation and can promote cell proliferation.

Objective To investigate the application value of neutrophil count(N),neutrophil percentage(N％),neutrophil to lymphocyte ratio(NLR)and neutrophil to albumin ratio(NAR)in the evaluation of ul-cerative colitis(UC)patients.Methods A total of 87 UC patients admitted to the hospital from May 2022 to July 2023 were collected as the UC group,and 42 healthy people in the same hospital during the same period were selected as the control group.Blood routine and biochemical routine related inflammatory indicators in-cluding lymphocyte count(L),N,lymphocyte percentage(L％),N％,C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),albumin(ALB)were collected,NLR and NAR were calculated.The clinical data of UC patients were collected.According to medical history,modified Mayo scoring system and Montreal classifi-cation criteria,UC patients were divided into clinical types,disease activity and lesion extent.The levels of N,N％,NLR and NAR in the control group and UC group and different subgroups of UC were evaluated.Spearman correlation analysis was used to analyze the correlation between the four indexes and ESR and CRP.The receiver operating characteristic curve was drawn to test the diagnostic efficacy of the four indicators a-lone and in combination in the detection of UC patients,and the best cut-off value,sensitivity and specificity were calculated.Results The levels of N,N％,NLR and NAR in UC group were higher than those in control group,and the differences were statistically significant(P＜0.05).There were significant differences in N,N％,NLR and NAR levels between UC patients with different activity and lesion range(P＜0.05).Spearman correlation analysis showed that CRP level was positively correlated with N,N％,NLR and NAR in UC pa-tients(r=0.392,0.343,0.354,0.503,P＜0.001).ESR level was positively correlated with N,NLR and NAR(r=0.383,0.233,0.475,P＜0.05).The area under the curve of N,N％,NLR and NAR alone and in combi-nation were 0.668,0.702,0.723,0.741 and 0.882,respectively.The sensitivity and specificity of the combina-tion of the four were higher(80.5％and 88.1％,respectively).Conclusion N,N％,NLR and NAR have cer-tain clinical value in the diagnosis,disease activity and lesion extent prediction of UC patients.

Introduction::Observational studies have revealed an association between waist circumference (WC) and atrial fibrillation (AF). However, it is difficult to infer a causal relationship from observational studies because the observed associations could be confounded by unknown risk factors. Therefore, the causal role of WC in AF is unclear. This study was designed to investigate the causal association between WC and AF using a two-sample Mendelian randomization (MR) analysis.Methods::In our two-sample MR analysis, the genetic variation used as an instrumental variable for MR was acquired from a genome-wide association study (GWAS) of WC (42 single nucleotide polymorphisms with a genetic significance of P <5 × 10 –8). The data of WC (from the Genetic Investigation of ANthropometric Traits consortium, containing 232,101 participants) and the data of AF (from the European Bioinformatics Institute database, containing 55,114 AF cases and 482,295 controls) were used to assess the causal role of WC on AF. Three different approaches (inverse variance weighted [IVW], MR–Egger, and weighted median regression) were used to ensure that our results more reliable. Results::All three MR analyses provided evidence of a positive causal association between high WC and AF. High WC was suggested to increase the risk of AF based on the IVW method (odds ratio [OR] = 1.43, 95% confidence interval [CI], 1.30–1.58, P = 2.51 × 10 -13). The results of MR–Egger and weighted median regression exhibited similar trends (MR–Egger OR = 1.40 [95% CI, 1.08–1.81], P = 1.61 × 10 -2; weighted median OR = 1.39 [95% CI, 1.21–1.61], P = 1.62 × 10 -6). MR–Egger intercepts and funnel plots showed no directional pleiotropic effects between high WC and AF. Conclusions::Our findings suggest that greater WC is associated with an increased risk of AF. Taking measures to reduce WC may help prevent the occurrence of AF.

As a receptor protein,GPR120 is activated by long-chain fatty acids(such as omega-3 fat-ty acids,alpha-linolenic acid,eicosapentaenoic acid,and docosahexaenoic acid.It plays an important regulatory role in gastrointestinal peptide release,inflammation,lipogenesis,glucose tolerance,and insulin sensitivity.In order to study the synergistic regulation of the GPR120 gene on milk fat me-tabolism and its anti-inflammatory effects in dairy cow MAC-T cells,the GPR120 activator TUG-891 and the inhibitor AH7614 were used to treat both dairy cow MAC-T cells and LTA-induced inflammatory dairy cow MAC-T cells.This treatment aimed to detect the expression of key genes involved in milk fat synthesis and inflammatory factors.The results showed that the GPR120 gene activator significantly increased the relative expression levels of cholesterol regulatory element binding protein(SREBP1)and fatty acid synthase(FASN),key genes for milk fat synthesis.Addi-tionally,the expression levels of the inflammatory factor interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)were reduced in the inflammatory dairy cow MAC-T cell model,which prelimi-natively reveals that GPR120 co-regulates milk fat and mammary inflammation in dairy cows,thereby laying a foundation for subsequent molecular mechanism research.

As a receptor protein,GPR120 is activated by long-chain fatty acids(such as omega-3 fat-ty acids,alpha-linolenic acid,eicosapentaenoic acid,and docosahexaenoic acid.It plays an important regulatory role in gastrointestinal peptide release,inflammation,lipogenesis,glucose tolerance,and insulin sensitivity.In order to study the synergistic regulation of the GPR120 gene on milk fat me-tabolism and its anti-inflammatory effects in dairy cow MAC-T cells,the GPR120 activator TUG-891 and the inhibitor AH7614 were used to treat both dairy cow MAC-T cells and LTA-induced inflammatory dairy cow MAC-T cells.This treatment aimed to detect the expression of key genes involved in milk fat synthesis and inflammatory factors.The results showed that the GPR120 gene activator significantly increased the relative expression levels of cholesterol regulatory element binding protein(SREBP1)and fatty acid synthase(FASN),key genes for milk fat synthesis.Addi-tionally,the expression levels of the inflammatory factor interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)were reduced in the inflammatory dairy cow MAC-T cell model,which prelimi-natively reveals that GPR120 co-regulates milk fat and mammary inflammation in dairy cows,thereby laying a foundation for subsequent molecular mechanism research.

Objective:To analyze the evolution path and diffusion mechanism of the unified drug management system of countywide medical communities in China, and provide references for the deepening implementation of the system.Methods:The policy documents of the central and provincial governments were retrieved with the keywords of " medical community" " drug management" " county-township-village integration" and " central pharmacy". By means of the policy diffusion theory, the evolution path of the diffusion of the unified drug management system for the countywide medical communities was identified from such dimensions as time, space and hierarchy. On the other hand, the action mechanism of the diffusion of the system was summarized from such aspects as competition, administrative instruction, learning and imitation.Results:A total of 36 effective policy documents were collected. The time diffusion of the drug unified management system of countywide medical communities was characterized by an " S" curve. By the end of 2022, there were 30 provinces implementing the countywide medical community drug unified management system, and the policy diffusion has entered a saturation and stagnation stage; spatial diffusion showed " proximity effect" ; hierarchy diffusion embodied the " leader follower" mode. In the process of policy diffusion, competition mechanism, administrative instruction mechanism, learning mechanism, and imitation mechanism coexisted, but there were difference in the dominant mechanism at different stages of policy diffusion.Conclusions:The unified drug management system of the countywide medical communities has been widely disseminated. It is recommended to promote the introduction of supporting policies, optimize the system evaluation system, and comprehensively use various diffusion mechanisms to promote the optimization of the system, so as to promote the deepening and sustainable operation of the system.