Background Prehospital emergency medical personnel (PEMP) are exposed to long-term high-pressure work, which can exacerbate psychological distress and impair job satisfaction and sleep quality. However, in-depth research on the interactions among these factors is lacking. Objective To assess the status of psychological distress, job satisfaction, and sleep quality of PEMP in Guangzhou and to explore the mediating role of sleep quality in the relationship between psychological distress and job satisfaction. Methods From February to May 2025, 1085 PEMP from "120" emergency network hospitals in Guangzhou were selected using convenience sampling. Data were collected via the General Information Questionnaire, Kessler Psychological Distress Scale, Minnesota Satisfaction Questionnaire, and Pittsburgh Sleep Quality Index. Statistical analyses were performed using SPSS 25.0, and The mediation model of sleep quality in linking psychological distress and job satisfaction was constructed using AMOS 28.0. The bias-corrected Bootstrap method was employed to assessed the significance of the mediating effect. Results A total of 1063 valid responses were received (97.97% valid response rate). The mean scores were: psychological distress (27.99±10.75), job satisfaction (69.45±15.84), and sleep quality (9.82±4.47). Significant differences in the three scores were found across gender, age, monthly night shift frequency, and hospital grade (P<0.05). Higher job satisfaction was linked to lower psychological distress and better sleep quality and its dimensions, while psychological distress directly correlated with poorer sleep quality (P<0.01). Sleep quality partially mediated the relationship between psychological distress and job satisfaction, with a mediating effect of −0.195, accounting for 43.62% of the total effect. Conclusion The participants report moderate psychological distress, moderate-to-high job satisfaction, and poor sleep quality. Psychological distress directly affects job satisfaction and indirectly through its impact on sleep quality. Interventions aimed at improving sleep health and mental health are essential to improve personnel well-being and work efficiency.

Background Prehospital emergency medical personnel (PEMP) are exposed to long-term high-pressure work, which can exacerbate psychological distress and impair job satisfaction and sleep quality. However, in-depth research on the interactions among these factors is lacking. Objective To assess the status of psychological distress, job satisfaction, and sleep quality of PEMP in Guangzhou and to explore the mediating role of sleep quality in the relationship between psychological distress and job satisfaction. Methods From February to May 2025, 1085 PEMP from "120" emergency network hospitals in Guangzhou were selected using convenience sampling. Data were collected via the General Information Questionnaire, Kessler Psychological Distress Scale, Minnesota Satisfaction Questionnaire, and Pittsburgh Sleep Quality Index. Statistical analyses were performed using SPSS 25.0, and The mediation model of sleep quality in linking psychological distress and job satisfaction was constructed using AMOS 28.0. The bias-corrected Bootstrap method was employed to assessed the significance of the mediating effect. Results A total of 1063 valid responses were received (97.97% valid response rate). The mean scores were: psychological distress (27.99±10.75), job satisfaction (69.45±15.84), and sleep quality (9.82±4.47). Significant differences in the three scores were found across gender, age, monthly night shift frequency, and hospital grade (P<0.05). Higher job satisfaction was linked to lower psychological distress and better sleep quality and its dimensions, while psychological distress directly correlated with poorer sleep quality (P<0.01). Sleep quality partially mediated the relationship between psychological distress and job satisfaction, with a mediating effect of −0.195, accounting for 43.62% of the total effect. Conclusion The participants report moderate psychological distress, moderate-to-high job satisfaction, and poor sleep quality. Psychological distress directly affects job satisfaction and indirectly through its impact on sleep quality. Interventions aimed at improving sleep health and mental health are essential to improve personnel well-being and work efficiency.

Ischemic bowel disease(IBD)is a prevalent intestinal vascular disease that poses a serious threat to patients' lives and health.Tthe key pathological process of ischemic bowel disease is intestinal ischemia-reperfusion(II/R)injury.If not diagnosed and treated in a timely manner,it can lead to life-threatening conditions such as peritonitis,intestinal gangrene perforation,and multiple organ dysfunction.Current treatments primarily focus on symptomatic and surgical interventions,lacking targeted pharmacological therapies.A substantial body of research has found that traditional Chinese medicine(TCM)exhibits a protective effect against II/R injury.This review systematically elaborated on the mechanisms by which various TCM bioactive components,including Astragaloside IV,Ginsenosides,Salvianolic acids,and Tetramethylpyrazine,as well as compound formulations such as Shenqi injection,Taoren Chengqi decoction,and Sini decoction ameliorate II/R injury.These findings provide novel research perspectives for developing TCM-based therapeutics for IBD.

Objective To evaluate the early efficacy and safety of the regimens containing delamanid and linezolid in the treatment of rifampicin resistant tuberculosis(RR-TB).Methods A total of 47 patients diagnosed with RR-TB at Public Health Clinical Center of Chengdu from August 2020 to December 2021 were enrolled,including 22 cases(46.8％)of multidrug-resistant tuberculosis(MDR-TB),8 cases(17.0％)of RR-TB,and 17 cases(36.2％)of pre-extensively drug-resistant tuberculosis(pre-XDR-TB).All patients were treated with a regimen based on delamanid and linezolid.The efficacy and safety were evaluated at 24 weeks of treatment.Results Among the 47 patients,46(97.9％)completed 24 weeks of treatment and 1(2.1％)was lost to follow-up.At 24 weeks,the sputum culture conversion rate was 100％in the 43 patients with positive baseline sputum culture.The median conversion time was 2(2,8)weeks.Imaging examination showed absorption in 46 patients(97.9％).Overall,40 patients(85.1％)experienced varying degrees of adverse events(AEs)within 24 weeks.Eleven patients(23.4％)experienced AEs possibly related to delamanid,mainly including QTcF interval prolongation(12.8％),gastrointestinal reactions(8.5％),dizziness(2.1％),headache(2.1％),and allergy(2.1％).Six patients permanently discontinued delamanid due to AEs including gastrointestinal reactions(6.4％),prolonged QTcF interval(2.1％),severe dizziness(2.1％),and drug allergy(2.1％).Patients with low baseline CD4+T lymphocyte counts(OR=0.991,95％CI:0.984-0.999)were more likely to experience delamanid-related AEs.Thirty patients(63.8％)experienced AEs possibly related to linezolid,including myelosuppression(55.3％),peripheral neuropathy(6.4％),optic neuritis occurred(2.1％),and allergy(2.1％).Three patients(6.4％)discontinued linezolid permanently due to severe anemia,peripheral neuropathy,and allergy.Conclusions The treatment regimens containing delamanid and linezolid for RR-TB showed a high sputum culture conversion rate and good tolerance at 24 weeks.Attention should be paid to gastrointestinal reactions and cellular immunity during treatment.

Objective:To examine the validity and reliability of the Basic Psychological Needs Satisfaction and Frustration Scale(BPNSFS)in the adult population.Methods:A total of 488 adults were recruited and random-ly divided into 2 groups.One half(n=244)was utilized for item analysis and exploratory factor analysis,while the other half(n=244)was reserved for confirmatory factor analysis.One month later,a convenient sample of 100 in-dividuals was selected for retesting.The Depression-Anxiety-Stress Scale-21(DASS-21)and the Satisfaction with Life Scale(SWLS)were employed as criterion measures.Results:Both subscales of the BPNSFS demonstrated a 3-factor structure,explaining a total variance of 60.99％and 60.31％,respectively.The 3-factor model exhibited good fit indices(x2/df=1.85,2.47;RMSEA=0.06,0.08;CFI=0.95,0.94;TLI=0.94,0.92;SRMR=0.04,0.05).Scores on both subscales and their dimensions were significantly correlated with DASS-21 and SWLS scores(|r|=0.16-0.57,Ps＜0.001).The Cronbach α coefficients for the 2 subscales were 0.87 and 0.89,with Cronbach α values for each dimension ranging from 0.73 to 0.81.The test-retest reliabilities(ICC)for the 2 sub-scales were 0.84 and 0.80,with ICC values for each dimension ranging from 0.65 to 0.83.Conclusion:The validi-ty and reliability of the Chinese version of the Basic Psychological Needs Satisfaction and Frustration Scale demon-strate good measurement properties in assessing the adult population.

Objective:To investigate the denoising performance of different deep learning (DL) strategies on low-dose brain 18F-FDG PET images. Methods:This retrospective methodological study was conducted on brain PET/CT images of 50 patients (35 males, 15 females, age 20-87 years) who received 3.7MBq/kg 18F-FDG at the Fifth Affiliated Hospital of Sun Yat-sen University between May 2023 and January 2024. Full-dose PET data were acquired with 2min scan. CT scans were acquired before PET scanning. Low-dose PET sinograms were generated by down-sampling the full-dose list mode data to 1/2, 1/4, and 1/20 of full-dose count level. Both full-dose and low-dose sinograms were reconstructed with random, CT-based attenuation and scatter corrections using the three-dimensional (3D) ordered-subsets expectation maximization (OSEM) algorithm (2 iterations, 20 subsets). A total of 4 DL denoising methods were established: (1) 3D conditional generative adversarial networks (GAN) using only low-dose PET as input (GAN-1); (2) 3D attention-based GAN (AttGAN) with low-dose PET input (AttGAN-1); (3) 3D AttGAN with low-dose PET and CT inputs (AttGAN-2); (4) 3D AttGAN with frequency-separation using low-dose PET and CT inputs (AttGAN-FS-2). For AttGAN-FS-2, during the frequency division process, high- and low-frequency components were extracted from the PET reconstructed images via Fourier transform, then inversed Fourier transform, denoised separately, and finally combined to produce the final denoised images. The dataset was separated into training (70%), validation (10%) and testing (20%) sets using simple random sampling without replacement with a fixed random seed. A 5-fold cross-validation scheme was then applied to test all 50 patients. Performance was evaluated against full-dose PET using normalized mean square error (NMSE), structural similarity (SSIM), peak signal-to-noise ratio (PSNR), contrast-to-noise ratio (CNR), SUV mean and SUV max bias of selected brain ROIs. Wilcoxon signed rank test was used to analyze the differences between the denoising methods. Results:AttGAN-FS-2 showed the best performance among all dose levels, with statistical difference as compared by low-dose PET and GAN-1 denoised images for NMSE, SSIM, PSNR, and CNR ( Z values: 2.92-6.15, all P<0.005). NMSE, SSIM quantitative evaluation results (median) of each model at 1/20 dose were: GAN-1: 0.08, 0.87, AttGAN-1: 0.08, 0.88, AttGAN-2: 0.07, 0.89, AttGAN-FS-2: 0.06, 0.91, respectively ( Z values: 3.24-5.77, all P<0.005). Conclusion:The DL-based method combined with multiple strategies AttGAN-FS-2 shows improved denoising performance for low-dose brain PET images.

ObjectiveTo employ Helicobacter hepaticus (H.hepaticus, H.h) to induce intestinal fibrosis in vitamin D receptor deletion (VDR^-/-) mice, thereby establishing a model of inflammatory bowel disease to investigate its pathological characteristics and underlying mechanisms. MethodsFive male WT and five male VDR^-/- mice were orally administered a suspension containing 2×10⁸ CFU of H.hepaticus (referred to as the WT+H.h group and the VDR^-/-+H.h group, respectively), with treatments occurring every other day for three administrations. Concurrently, two uninfected control groups were established, consisting of five WT and five VDR^-/- mice, which were administered an equivalent volume of PBS. Seven days after the final administration, the infection status of the mice was assessed, and their body weight was recorded weekly. At the 16^th week post-infection, the mice were dissected, and the length of the colon tissue was measured, with fecal moisture content analyzed. The colon tissue was partitioned into four parts: one for paraffin embedding for HE, alcian blue-periodic acid Schiff (AB-PAS), Masson's trichrome staining, and immunohistochemical analysis; one for DNA extraction to evaluate the colonization levels of H.hepaticus through real-time fluorescent quantitative polymerase chain reaction (RFQ-PCR), thereby assessing the impact of the infection; one for RNA extraction to analyze cytokine expression via reverse transcription-PCR (RT-PCR); and one for protein extraction to measure the expression levels of alpha smooth muscle actin (α-SMA) and interleukin (IL)-33 using Western blotting. Results All mice in the infected groups successfully were infected with H. hepaticus after three oral gavages. Compared to VDR^-/- control group, VDR^-/- mice exhibited significant weight loss (P<0.05), intestinal hemorrhage, and higher fecal water content after 16 weeks of H. hepaticus infection than the uninfected control group and the WT+H.h group (P<0.05). Compared to the WT+H.h group, HE staining of the VDR^-/-+H.h group showed inflammatory cell infiltration, AB-PAS staining revealed irregular atrophy of intestinal glands and reduced acini, and Masson staining showed increased collagen area. RT-PCR demonstrated that the transcription levels of inflammation and fibrosis-related genes, including IL-6, IL-33, tumor necrosis factor-α (TNF-α), and α-SMA (P < 0.000 1), were significantly upregulated in the colon tissues of VDR^-/-+H.h group. Additionally, immunohistochemical analysis and Western blotting showed that the protein expression levels of IL-33 and α-SMA were markedly increased (P<0.001) in the VDR^-/-+H.h group. ConclusionVDR^-/- mice infected with H.hepaticus exhibit more severe inflammatory responses, including mucosal inflammatory infiltration, impaired mucosal tissue function, and collagen deposition, indicating successful construction of the inflammatory bowel disease model. Further research suggests that VDR deficiency may exacerbate the intestinal fibrosis process associated with inflammatory bowel disease by affecting IL-33 expression.

ObjectiveTo elucidate the potential mechanism of modified Sinisan （MSNS） in alleviating anxiety-like behaviors induced by chronic restraint stress （CRS） in mice at the metabolic level based on serum untargeted metabolomics and identify key metabolites and metabolic pathways regulated by MSNS. MethodsSeventy-two male C57BL/6 mice were randomly assigned into six groups： control， model， high-dose （2.4 g·kg^-1） MSNS， medium-dose （1.2 g·kg^-1） MSNS， low-dose （0.6 g·kg^-1） MSNS， and positive control （fluoxetine， 2.6 mg·kg^-1）. Except the control group， the other groups were subjected to CRS for the modeling of anxiety. Mice were administrated with corresponding agents by gavage 2 h before daily restraint for 14 days. Anxiety-like behaviors were evaluated by the open field test （OFT）， elevated plus maze （EPM） test， and light/dark box （LDB） test. Serum levels of corticotropin-releasing hormone （CRH）， adrenocorticotrophic hormone （ACTH）， and corticosterone （CORT） were measured via ELISA to assess stress levels. Ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） was employed to detect 9 metabolites in the brain tissue and serum metabolites. Orthogonal partial least squares-discriminant analysis （OPLS-DA） was adopted to identify differential metabolites （VIP>1.0， P<0.05）. MetaboAnalyst 5.0 was used for metabolic pathway enrichment analysis of the differential metabolites. ResultsCompared with the control group， the model group showed reductions in the central activity time and central distance in the OFT （P<0.05）， the proportions of open-arm residence time and open-arm residence times in the EPM test （P<0.01）， and the proportions of open box activity time and open box activity distance in the LDB test （P<0.05）， which were increased in the medium- and high-dose MSNS groups compared with the model group （P<0.05）. Compared with the control group， the model group showed elevated levels of CRH， ACTH， and CORT in the serum （P<0.01）， and the elevations were diminished in the medium- and high-dose MSNS groups （P<0.05）. UPLC-MS results indicated that compared with the control group， the model group presented declined DA， GABA， 5-HIAA， 5-HT， and 5-HT/Trp levels （P<0.05， P<0.01） and raised Glu， NE， Kyn， and Kyn/Trp levels （P<0.05）. Compared with the model group， high-dose MSNS increased the GABA， 5-HIAA， and 5-HT/Trp levels （P<0.05） and lowered the Glu and Kyn/Trp levels （P<0.05）. Untargeted metabolomics identified that 16 CRS-induced metabolic disturbances were reversed by MSNS. KEGG pathway analysis indicated that MSNS primarily modulated eight core pathways including alanine/aspartate/glutamate metabolism， butyrate metabolism， arginine-proline metabolism， TCA cycle， unsaturated fatty acid biosynthesis， and tryptophan metabolism. The mechanisms involved multidimensional biological processes， including neurotransmitter homeostasis regulation， TCA cycle energy metabolism optimization， and inflammatory response suppression. ConclusionMSNS alleviates CRS-induced anxiety-like behaviors in mice by mitigating hypothalamic-pituitary-adrenal axis hyperactivity， improving hippocampal neurotransmitter and tryptophan metabolic pathways， and regulating alanine/aspartate/glutamate metabolism， butyrate metabolism， arginine-proline metabolism， and TCA cycle.

Objective:To investigate the denoising performance of different deep learning (DL) strategies on low-dose brain 18F-FDG PET images. Methods:This retrospective methodological study was conducted on brain PET/CT images of 50 patients (35 males, 15 females, age 20-87 years) who received 3.7MBq/kg 18F-FDG at the Fifth Affiliated Hospital of Sun Yat-sen University between May 2023 and January 2024. Full-dose PET data were acquired with 2min scan. CT scans were acquired before PET scanning. Low-dose PET sinograms were generated by down-sampling the full-dose list mode data to 1/2, 1/4, and 1/20 of full-dose count level. Both full-dose and low-dose sinograms were reconstructed with random, CT-based attenuation and scatter corrections using the three-dimensional (3D) ordered-subsets expectation maximization (OSEM) algorithm (2 iterations, 20 subsets). A total of 4 DL denoising methods were established: (1) 3D conditional generative adversarial networks (GAN) using only low-dose PET as input (GAN-1); (2) 3D attention-based GAN (AttGAN) with low-dose PET input (AttGAN-1); (3) 3D AttGAN with low-dose PET and CT inputs (AttGAN-2); (4) 3D AttGAN with frequency-separation using low-dose PET and CT inputs (AttGAN-FS-2). For AttGAN-FS-2, during the frequency division process, high- and low-frequency components were extracted from the PET reconstructed images via Fourier transform, then inversed Fourier transform, denoised separately, and finally combined to produce the final denoised images. The dataset was separated into training (70%), validation (10%) and testing (20%) sets using simple random sampling without replacement with a fixed random seed. A 5-fold cross-validation scheme was then applied to test all 50 patients. Performance was evaluated against full-dose PET using normalized mean square error (NMSE), structural similarity (SSIM), peak signal-to-noise ratio (PSNR), contrast-to-noise ratio (CNR), SUV mean and SUV max bias of selected brain ROIs. Wilcoxon signed rank test was used to analyze the differences between the denoising methods. Results:AttGAN-FS-2 showed the best performance among all dose levels, with statistical difference as compared by low-dose PET and GAN-1 denoised images for NMSE, SSIM, PSNR, and CNR ( Z values: 2.92-6.15, all P<0.005). NMSE, SSIM quantitative evaluation results (median) of each model at 1/20 dose were: GAN-1: 0.08, 0.87, AttGAN-1: 0.08, 0.88, AttGAN-2: 0.07, 0.89, AttGAN-FS-2: 0.06, 0.91, respectively ( Z values: 3.24-5.77, all P<0.005). Conclusion:The DL-based method combined with multiple strategies AttGAN-FS-2 shows improved denoising performance for low-dose brain PET images.

ObjectiveTo elucidate the potential mechanism of modified Sinisan （MSNS） in alleviating anxiety-like behaviors induced by chronic restraint stress （CRS） in mice at the metabolic level based on serum untargeted metabolomics and identify key metabolites and metabolic pathways regulated by MSNS. MethodsSeventy-two male C57BL/6 mice were randomly assigned into six groups： control， model， high-dose （2.4 g·kg^-1） MSNS， medium-dose （1.2 g·kg^-1） MSNS， low-dose （0.6 g·kg^-1） MSNS， and positive control （fluoxetine， 2.6 mg·kg^-1）. Except the control group， the other groups were subjected to CRS for the modeling of anxiety. Mice were administrated with corresponding agents by gavage 2 h before daily restraint for 14 days. Anxiety-like behaviors were evaluated by the open field test （OFT）， elevated plus maze （EPM） test， and light/dark box （LDB） test. Serum levels of corticotropin-releasing hormone （CRH）， adrenocorticotrophic hormone （ACTH）， and corticosterone （CORT） were measured via ELISA to assess stress levels. Ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） was employed to detect 9 metabolites in the brain tissue and serum metabolites. Orthogonal partial least squares-discriminant analysis （OPLS-DA） was adopted to identify differential metabolites （VIP>1.0， P<0.05）. MetaboAnalyst 5.0 was used for metabolic pathway enrichment analysis of the differential metabolites. ResultsCompared with the control group， the model group showed reductions in the central activity time and central distance in the OFT （P<0.05）， the proportions of open-arm residence time and open-arm residence times in the EPM test （P<0.01）， and the proportions of open box activity time and open box activity distance in the LDB test （P<0.05）， which were increased in the medium- and high-dose MSNS groups compared with the model group （P<0.05）. Compared with the control group， the model group showed elevated levels of CRH， ACTH， and CORT in the serum （P<0.01）， and the elevations were diminished in the medium- and high-dose MSNS groups （P<0.05）. UPLC-MS results indicated that compared with the control group， the model group presented declined DA， GABA， 5-HIAA， 5-HT， and 5-HT/Trp levels （P<0.05， P<0.01） and raised Glu， NE， Kyn， and Kyn/Trp levels （P<0.05）. Compared with the model group， high-dose MSNS increased the GABA， 5-HIAA， and 5-HT/Trp levels （P<0.05） and lowered the Glu and Kyn/Trp levels （P<0.05）. Untargeted metabolomics identified that 16 CRS-induced metabolic disturbances were reversed by MSNS. KEGG pathway analysis indicated that MSNS primarily modulated eight core pathways including alanine/aspartate/glutamate metabolism， butyrate metabolism， arginine-proline metabolism， TCA cycle， unsaturated fatty acid biosynthesis， and tryptophan metabolism. The mechanisms involved multidimensional biological processes， including neurotransmitter homeostasis regulation， TCA cycle energy metabolism optimization， and inflammatory response suppression. ConclusionMSNS alleviates CRS-induced anxiety-like behaviors in mice by mitigating hypothalamic-pituitary-adrenal axis hyperactivity， improving hippocampal neurotransmitter and tryptophan metabolic pathways， and regulating alanine/aspartate/glutamate metabolism， butyrate metabolism， arginine-proline metabolism， and TCA cycle.