Diabetic cardiomyopathy （DCM） is one of the most common complications of diabetes mellitus and is a major threat to global health. As a key mechanism in the occurrence and progression of DCM， the inflammatory response persists throughout the entire course of the DCM. The Gaozhuo theory suggests that the basic pathogenesis of inflammatory injury in DCM is the Qi deficiency of spleen and kidney and Gaozhuo invasion， and divides the pathological process into three phases： Gaozhuo invasion， turbid heat damage to the channels， and turbid blood stasis and heat junction. Among them， the Qi deficiency of spleen and kidney and the endogenous formation of Gaozhuo represent the process of inflammatory factor formation induced by glucose metabolism disorders. Turbid heat damage to the channels refers to the process of myocardial inflammatory injury mediated by inflammatory factors， and turbid blood stasis and heat junction are the process of myocardial injury developing toward myocardial fibrosis and ventricular remodeling. As the disease continues to progress， it eventually develops into a depletion of the heart Yang， leading to the ultimate regression of heart failure. According to the theory of Gaozhuo， traditional Chinese medicine （TCM） should regulate inflammatory injury in DCM by strengthening the spleen and tonifying the kidney to address the root cause， and resolving dampness and lowering turbidity to treat the symptoms. If the turbidity has been stored for a long time and turns into heat， strengthening the spleen and tonifying the kidney， and clearing heat and resolving turbidity should be the therapy. If the turbidity， stasis， and heat are knotted in the heart and collaterals， strengthening the spleen and tonifying the kidney， and resolving stasis and lowering turbidity should be the therapy. TCM compounds and monomers can regulate the inflammatory response in DCM. TCM compounds can be divided into the categories for benefiting Qi to resolve turbidity， benefiting Qi and clearing heat to resolve turbidity， and benefiting Qi and activating blood to reduce turbidity. The compounds can inhibit upstream signals of inflammation and expression of inflammatory factors， improve the inflammatory damage to myocardium and blood vessels， myocardial fibrosis， and cardiac systole and diastole， and thus slow down the onset and progression of DCM.

ObjectiveTo investigate the preventive and therapeutic effects of Qingfei Paidu decoction (QFPDD) on acute lung injury (ALI) in mice and its underlying molecular mechanisms based on miRNA sequencing technology. MethodsTwenty-four 4-week-old male KM mice were randomly divided into a control group, a model group, and a QFPDD group (n = 8 per group). After one week of acclimatization, mice in the control and model groups were intragastrically administered ultrapure water (0.2 mL per dose), whereas mice in the QFPDD group were intragastrically administered QFPDD (1.6 g crude drug/mL, 0.2 mL per dose), twice daily for 8 consecutive days. On days 2–8, mice in the model and QFPDD groups were exposed to aerosolized lipopolysaccharide (LPS) solution (2.5 g/L, 4 mL per exposure) for 7 consecutive days. On day 9, blood was collected via the retro-orbital venous plexus under deep anesthesia, and lung tissues were harvested. Body weight and lung weight were measured, and the lung coefficient was calculated. Serum levels of inflammatory cytokines tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, and IL-6 were detected by ELISA. Lung histopathological changes were observed by HE staining of paraffin-embedded sections. miRNA expression profiles in lung tissues were analyzed using the Illumina HiSeq 2500 sequencing platform. Target genes of differentially expressed miRNAs were predicted using bioinformatics databases, and functional enrichment analysis of these target genes was performed using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Differentially expressed miRNAs were validated by reverse transcription quantitative real-time PCR (RT-qPCR). ResultsCompared with the control group, the model group showed a consistent body weight growth trend but a significantly increased lung coefficient (P < 0.01). ELISA results showed that serum levels of TNF-α and IL-6 were significantly elevated in the model group compared with the control group (P < 0.01), whereas QFPDD treatment significantly reduced serum TNF-α and IL-6 levels compared with the model group (P < 0.05). HE staining showed that, compared with the control group, the model group exhibited widened alveolar septa, massive inflammatory cell infiltration, partial alveolar expansion, and mild capillary dilation with congestion. In contrast, the QFPDD group showed only slightly widened alveolar septa and mild inflammatory cell infiltration compared with the model group. Intersection analysis of miRNA sequencing data identified 13 differentially expressed miRNAs common to both the model vs. control and QFPDD vs. model comparisons. Among them, 6 miRNAs (mmu-miR-203-3p, mmu-miR-181b-5p_R-1, hsa-miR-4286_R+1, mmu-miR-1843b-5p_L+1R-1_2, mmu-miR-22-3p, and mmu-miR-1964-3p) were significantly up-regulated in the model group (P < 0.05) and significantly down-regulated after QFPDD treatment (P < 0.05), showing a therapeutic reversal trend. GO analysis revealed that the target genes of the differentially expressed miRNAs were mainly enriched in biological processes such as RNA polymerase Ⅱ transcriptional regulation. KEGG analysis indicated that target genes were mainly enriched in signaling pathways including the mitogen-activated protein kinase (MAPK) pathway. RT-qPCR validation result for mmu-miR-203-3p was consistent with the sequencing analysis results. ConclusionQFPDD may exert preventive and therapeutic effects against ALI by regulating the expression of mmu-miR-203-3p and other miRNAs, thereby modulating inflammatory responses and the MAPK signaling pathway and participating in the pathological process of lung injury.

Female reproductive aging refers to the process that ovarian function gradually declines with age, leading to the decline of fertility and related physiological dysfunction. In recent years, the research on anti-female reproductive aging active molecules has become a hot spot in the medical field, aiming at delaying ovarian aging and improving reproductive health. In this paper, the main sources of anti-female reproductive aging molecules are reviewed, including natural products, endogenous molecules and synthetic small molecules, with emphasis on resveratrol, curcumin, soybean isoflavones, nicotinamide adenine dinucleotide precursors (such as nicotinamide mononucleotide) and mitochondrial targeting molecules. These molecules play an important role in delaying ovarian aging and maintaining ovarian function through various mechanisms such as antioxidant stress, regulating autophagy and apoptosis, anti-inflammatory and immunomodulation, and telomere protection. However, from laboratory research to clinical application, it still faces multiple challenges such as bioavailability, long-term safety and individual differences. Future research needs to further optimize the delivery system, carry out long-term clinical trials, and explore individualized treatment strategies to promote the clinical transformation and application of anti-female reproductive aging molecules.

Objective To explore the value of spectral CT quantitative parameters combined with clinical and CT features for predicting lymphovascular invasion(LVI)of colorectal cancer.Methods Clinical,pathological and preoperative abdominal spectral CT data of 98 colorectal cancer patients were retrospectively analyzed.According to pathological results,the patients were divided into LVI group(n=36)and non-LVI group(n=62).Univariate and multivariate logistic regression were used to compared clinical,pathological,conventional CT manifestations and spectral CT quantitative parameters between groups to screen independent predictors for LVI of colorectal cancer,and then a regression model was constructed.Receiver operating characteristic(ROC)curves were drawn,and the area under the curves(AUC)were calculated to evaluate the predictive efficacy of each single independent predictor and regression model for predicting LVI of colorectal cancer.Results Serum carbohydrate antigen 724,CT showed periintestinal fat infiltration and effective atomic number(Zeff)at venous phase were all independent predictors of LVI of colorectal cancer(OR=4.723,7.301 and 18.912,all P＜0.05).AUC of the above independent predictors was 0.582,0.723 and 0.691,respectively,while of the regression model was 0.837.Conclusion Spectral CT quantitative parameters combined with clinical and CT features could effectively predict LVI of colorectal cancer.

Objective To compare the segmenting efficacy of automatic segmentation models for advanced gastric cancer(AGC)on CT virtual monoenergetic images(VMI),non-linear blending images(NLBI)and mixed-energy images(MEI)based on 3D-nnU-Net.Methods Totally 216 cases of AGC were retrospectively enrolled,among them 185 cases were used to construct,train and validate models and divided into training set(n=154)and test set(n=31)at the ratio of 5∶1,while the other 31 cases were used as validation set to evaluate the generalization of the models.The 70 keV energy level VMI(VMI70 keV),NLBI and MEI were reconstructed with whole-abdominal dual-energy mode venous CT,and automatic segmentation models of AGC,including VMI70 keV,NLBI and MEI models were constructed using 3D-nnU-Net,respectively.Taken manually segmented results as golden standards,the efficacy of each model for segmenting all lesions and T2 stage lesions in test set and validation set were evaluated using Dice similarity coefficient(DSC),intersection over union(IoU)and average symmetric surface distance(ASSD).Results For all lesions in test and validation sets,DSC of 3 models were all＞0.80.DSC and IoU of VMI70 keV and NLBI models were both higher,while their ASSD was lower than those of MEI model(all P＜0.05).For T2 stage AGC in both test set and validation set(each n=5),DSC of MEI model was lower than that of VMI70 keV and NLBI models(both P＜0.05),while IoU of MEI model was lower than that of VMI70 keV model(P＜0.05),and its ASSD was higher than that of NLBI model(P＜0.05).Conclusion All 3D-nnU-Net-based VMI70 keV,NLBI and MEI models could effectively segment AGC on dual-energy CT images,and the segmentation efficacy of the former two were better.

OBJECTIVE To investigate the current status and existing issues of hospital-associated infection manage-ment in non-public medical institutions,so as to provide data for the formulation of hospital-associated infec-tion management policies and the construction of a quality evaluation system for hospital-associated infection man-agement in non-public medical institutions.METHODS A qualitative research method was employed.In Dec.2023,semi-structured interviews were conducted with 38 directors of hospital-associated infection management depart-ments in primary,secondary and tertiary non-public medical institutions.The interview data were coded and ana-lyzed by Nvivo 12.0 software to refine themes.RESULTS Three themes were refined:the organizational system for hospital-associated infection management in non-public medical institutions had been basically established,but the division of functions and responsibilities was not yet fully clear,hospital-associated infection management had achieved certain results,including collaborating with other departments to standardize and implement infection control measures,enhancing staff awareness of infection control,and promoting the establishment of organization-al systems.There were issues in infection control works such as insufficient funding,personnel allocation not meeting requirements,and difficulties in implementing infection control measures.The most urgent assis-tance needed was to address the training and professional title promotion for full-time and part-time infection con-trol personnel.CONCLUSION Non-public medical institutions should strengthen staffing and training,enhance the pro-fessional capabilities of infection control personnel,and establish hospital-associated infection management standards that are tailored to the characteristics of non-public medical institutions at all levels.

Nucleic acid aptamers are a type of single-stranded oligonucleotides screened through in vitro exponentially enriched ligand phylogenetic technology, and they can bind to various targets with high specificity and high affinity. AS1411 is a 26-base guanine-rich DNA aptamer, and its target nucleolin is widely distributed in multiple locations within the cell, including the nucleolus, nucleoplasm, cytoplasm and cell membrane. AS1411 demonstrates multiple advantages, such as weak immunogenicity, low toxicity, easy structural modification, and strong tissue penetration ability. Despite numerous challenges in the clinical transformation process, with the continuous advancement of molecular imaging technology, AS1411 has demonstrated great potential in the fields of targeted imaging and targeted delivery of cancer drugs. This article mainly focuses on the research progress of AS1411 in the field of molecular imaging, covering its applications in magnetic resonance imaging, fluorescence imaging and nuclear medicine imaging, etc.

Female reproductive aging refers to the process that ovarian function gradually declines with age, leading to the decline of fertility and related physiological dysfunction. In recent years, the research on anti-female reproductive aging active molecules has become a hot spot in the medical field, aiming at delaying ovarian aging and improving reproductive health. In this paper, the main sources of anti-female reproductive aging molecules are reviewed, including natural products, endogenous molecules and synthetic small molecules, with emphasis on resveratrol, curcumin, soybean isoflavones, nicotinamide adenine dinucleotide precursors (such as nicotinamide mononucleotide) and mitochondrial targeting molecules. These molecules play an important role in delaying ovarian aging and maintaining ovarian function through various mechanisms such as antioxidant stress, regulating autophagy and apoptosis, anti-inflammatory and immunomodulation, and telomere protection. However, from laboratory research to clinical application, it still faces multiple challenges such as bioavailability, long-term safety and individual differences. Future research needs to further optimize the delivery system, carry out long-term clinical trials, and explore individualized treatment strategies to promote the clinical transformation and application of anti-female reproductive aging molecules.

This study aims to simultaneously detect three antibiotic resistance genes(blaNDM,mcr-1 and cfr).A triplex fluorescence quantitative PCR method was established.Plasmids,primers and probes were designed and optimized.The method could specifically detect blaNDM,mcr-1 and cfr,but not other antibiotic resistance genes.The R2 of the standard curves of the three antibiotic re-sistance genes were all greater than 0.999,and the coefficients of variation were all lower than 1％.The lowest detection limits of the plasmids were 1 × 102 copies/μL.This method was used to de-tect 800 bacterial samples.The results showed that 32 samples contained mcr-1 gene,40 samples contained blaNDM gene,2 samples contained cfr gene,8 samples contained both mcr-1 and blaNDM genes.There were no samples carrying three antibiotic resistance genes detected.The results indica-ted that the triplex fluorescence quantitative PCR method established in this experiment had the advantages of high sensitivity,specificity and stability.It was suitable for rapid detection of blaNDM,mcr-1 and cfr antibiotic resistance genes in clinical practice.It provided a convenient and quick method basis for the detection of antibiotic resistance genes.

Objective To investigate the association of liver radiodensity with the degree and progression of liver fibrosis in patients with chronic hepatitis B(CHB).Methods A retrospective cohort study was conducted among 114 CHB patients who were hospitalized in The First Hospital of Lanzhou University from January to December 2019,and related clinical data were collected,including laboratory tests and abdominal CT.The metabolic characteristics of the patients were assessed,and liver radiodensity was measured.An analysis of variance was used for comparison of normally distributed continuous data between three groups,and the Kruskal-Wallis H rank sum test was used for comparison of continuous data with skewed distribution between three groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between three groups.A logistic regression analysis was used to investigate the influencing factors for the degree of liver fibrosis,and the Cox proportional-hazards regression model analysis was used to investigate the influencing factors for the progression of liver fibrosis in CHB.Results Among the 114 patients enrolled,43(37.72％)had no liver cirrhosis,30(26.32％)were suspected of liver cirrhosis,and 41(35.96％)had liver cirrhosis,with a median follow-up time of 538.5(322.75-1 031.50)days.Liver radiodensity on plain scan(odds ratio[OR]=0.81,95％confidence interval[CI]:0.68-0.97,P=0.025),liver radiodensity on contrast-enhanced scan(OR=0.95,95％CI:0.90-0.99,P=0.037),and liver volume(OR=0.99,95％CI:0.98-0.99,P<0.001)were independent influencing factors for the degree of liver fibrosis.The univariate Cox regression analysis showed that the low level of HDL(hazard ratio=2.81,95％CI:1.04-7.54,P=0.041)was associated with the progression of liver fibrosis in CHB patients,and the degree of liver fibrosis,liver volume,and liver radiodensity showed no significant association with the progression of liver fibrosis(all P>0.05).Conclusion In CHB patients,liver radiodensity is an independent influencing factor for the degree of liver fibrosis,and low HDL has a marked influence on the progression of liver fibrosis.