Objective: Patients with atherosclerotic cardiovascular disease (ASCVD) following percutaneous coronary intervention (PCI) are classified as very-high-risk individuals in cardiovascular disease (CVD) risk stratification. The distribution pattern of traditional Chinese medicine (TCM) syndromes in this patient population, as well as its association with blood lipid profiles and clinical prognosis, remains unclear. The present prospective cohort study aims to investigate these correlations, thereby providing insights to enrich the research fields. Methods: We enrolled consecutive patients with ASCVD who underwent PCI at the Integrated Cardiology Unit of China-Japan Friendship Hospital between September 1, 2020 and December 31, 2022. Demographics and clinical characteristics, signs and symptoms defining each TCM syndrome, and fasting venous blood samples were collected at baseline and follow up or upon major adverse cardiovascular events (MACEs). We analyzed the correlation between TCM syndromes, blood lipid profiles, and MACEs, and developed a new joint prognostic model incorporating both TCM syndromes and blood lipids using logistic regression. The analyses were based on detailed baseline and one-year follow-up data. Results: A per-protocol analysis was performed on 586 patients with complete data ultimately. During the one-year follow-up, 174 patients (29.69%) experienced a MACE. We performed statistical analyses on comorbidities, medication, and biochemical indicators across groups defined by TCM syndrome differentiation. When comparing different TCM syndromes, no significant differences were found in age, body mass index (BMI), history of revascularization, comorbidities, family history of CVD, smoking or drinking, or statin intensity (P > 0.05). Patients with intertwined phlegm and blood stasis syndrome exhibited significantly higher levels of total cholesterol (TC, 5.27 ± 1.18 mmol/L, P < 0.001), triglyceride (TG, 1.96 ± 1.33 mmol/L, P = 0.008), low-density lipoprotein cholesterol (LDL-C, 3.35 ± 0.79 mmol/L, P < 0.001), and high-density lipoprotein cholesterol (HDL-C, 1.24 ± 0.81 mmol/L, P < 0.001) compared with those with other TCM syndromes combined. A multivariable logistic regression model was constructed to predict MACEs. The model included TCM syndrome type [with intertwined phlegm and blood stasis as a predictor, adjusted odds ratio (OR) = 1.413, 95% confidence interval (CI): 0.517 – 3.864, P = 0.501], age (adjusted OR = 0.97, 95% CI: 0.955 – 1.001, P = 0.057), male gender (adjusted OR = 0.698, 95% CI: 0.416 – 1.170, P = 0.173), TC (adjusted OR = 1.004, 95% CI: 0.513 – 1.965, P = 0.990), and LDL-C (adjusted OR = 5.825, 95% CI: 2.214 – 15.326, P < 0.001). This model demonstrated good discriminatory ability for MACEs in post-PCI ASCVD patients [the area under the receiver operating characteristic (ROC) curve (AUC) = 0.865, 95% CI: 0.816 – 0.914]. Conclusion The intertwined phlegm and blood stasis TCM syndrome is associated with a distinct atherogenic lipid profile characterized by elevated levels of TC and LDL-C. The prognostic model that incorporates this TCM syndrome type along with conventional lipid parameters (TC and LDL-C) shows good discriminatory ability for predicting MACEs in ASCVD patients after PCI, underscoring the potential clinical utility of integrating TCM syndrome differentiation into CVD risk assessment.

Fungal infections have emerged as a critical public health issue endangering human health. However, the existing arsenal of antifungal agents is limited in diversity and is commonly plagued by drawbacks including narrow antimicrobial spectrums and the frequent emergence of drug resistance, which severely compromises the efficacy of clinical treatments. Pathogenic fungi can develop extensive adaptability to currently available drugs through multiple mechanisms, which are mainly manifested in three aspects: drug resistance, tolerance and persistence. The molecular mechanisms and regulatory pathways underlying drug resistance, tolerance and persistence in pathogenic fungi were systematically summarized in this review, and the counteractive strategies such as combination therapy and the development of novel antifungal agents were further discussed, which aimed to provide theoretical basis and practical reference for the precision treatment of fungal infections.

Objective:To investigate the laboratory diagnostic value of 5 new blood routine indexes in chronic hepatitis B (CHB), liver cirrhosis and hepatocellular carcinoma (HCC).Methods:The retrospective study included 65 patients with chronic HBV infection, 72 patients with liver cirrhosis and 163 patients with HCC recruited at Liver Disease Center in First Affiliated Hospital of Fujian Medical University, as well as 52 healthy controls recruited from the Physical Examination Center of the First Affiliated Hospital of Fujian Medical University from October 2022 to April 2023. Five new parameters [early granulated cell percent (EGC%), early granulated cell absolute count (EGC#), microcytic anemia factor (MAF), leukocyte estimate(corrected)from the DIFF optical channel (WDOP) and leukocyte estimate(corrected)from the NRBC optical channel (WNOP)] were detected by UniCel DxH 900 blood cell analyzer. Univariate analysis of the expression levels of the 5 new parameterswere compared among CHB, liver cirrhosis and HCC groups. Pearson correlation analysis was used to explore the correlation between the 5 new parameters and HBV-related markers in CHB and Child-Pugh score in liver cirrhosis. Receiver operating characteristic (ROC) curve and AUC were used to estimate the diagnostic capacity of the 5 new blood routine indexes in CHB, liver cirrhosis and HCC.Results:In patients with CHB, the levels of EGC% ( Z=4.613, P<0.001) and EGC# ( Z=4.220, P<0.001) were higher than those of healthy controls; EGC# was positively correlated with HBsAg and HBeAg (both P<0.05). In patients with cirrhosis, the level of MAF ( Z=-4.928, P<0.001) was lower than that of healthy controls, and Child-Pugh score was found to be negatively correlated with MAF ( r=-0.349, P<0.05). In HCC patients, WDOP ( Z=2.45, P=0.017) and WNOP ( Z=2.90, P=0.017) levels were higher in patients with tumor volume>3 cm 3 than those in patients with volume ≤3 cm 3. The AUCs of combination of 5 new parameters to diagnose CHB, liver cirrhosis and HCC were 0.901 (95% CI 0.830-0.973, P<0.001), 0.946 (95% CI 0.909-0.984, P<0.001), and 0.904 (95% CI 0.858-0.950, P<0.001). Conclusions:The 5 new parameters based on peripheral blood cell analysis have good clinical value in the diagnosis of CHB, liver cirrhosis and HCC diseases.

Objective To screen and analyze key genes in rabbit corneal alkali burns based on transcriptomics se-quencing technology and bioinformatics techniques.Methods Thirty healthy male New Zealand rabbits were randomly di-vided into 2 groups(n=15 per group):The control group received no intervention,while the alkali burn group underwent corneal alkali burn modeling.Histological evaluation of corneal tissues was performed via hematoxylin-eosin(HE)stai-ning.Transcriptome sequencing was conducted for library construction and sequencing.Differentially expressed genes(DEGs)were identified using DESeq2,followed by Gene Ontology(GO)functional enrichment analysis and Kyoto Ency-clopedia of Genes and Genomes(KEGG)pathway analysis.A protein-protein interaction(PPI)network was constructed to screen hub genes,and RT-PCR was employed to validate mRNA expression levels of key genes.Results HE staining revealed orderly arranged corneal stromal layers and scattered stromal cells in the control group,whereas the alkali burn group exhibited stromal edema,thickened collagen fibers with loose/disorganized alignment,and increased fibroblast and inflammatory cell infiltration.Compared to the control group,1 827 significant DEGs were identified in the alkali burn group,including 1 495 upregulated and 332 downregulated genes.GO analysis showed biological processes such as immune response,plasma membrane,and identical protein binding.KEGG analysis indicated that DEGs were enriched in pathways related to cancer,lipid and atherosclerosis,and neuroactive ligand-receptor interaction.The PPI network screened 11 key genes:neutrophil cytosolic factor 1(NCF1),neutrophil cytosolic factor 2(NCF2),matrix metallopeptidase 2(MMP2),ma-trix metallopeptidase 9(MMP9),interleukin-1α(IL-1α),interleukin-1β(IL-1β),interleukin-6(IL-6),interleukin-8(CXCL8),cluster of differentiation 4(CD4),C-C motif ligand 2(CCL2)and tumor necrosis factor(TNF).RT-PCR valida-tion revealed that the mRNA expression levels of key genes in the corneal tissues of the alkali burn group were significantly higher than those in the control group(all P＜0.05),consistent with the transcriptomic sequencing results.Conclusion Based on the rabbit corneal alkali burn model,this study identified 11 key genes(NCF1,NCF2,MMP2,MMP9,IL-1α,IL-1β,IL-6,CXCL8,CD4,CCL2 and TNF)through transcriptomics and bioinformatics analysis.

Objective To screen and analyze key genes in rabbit corneal alkali burns based on transcriptomics se-quencing technology and bioinformatics techniques.Methods Thirty healthy male New Zealand rabbits were randomly di-vided into 2 groups(n=15 per group):The control group received no intervention,while the alkali burn group underwent corneal alkali burn modeling.Histological evaluation of corneal tissues was performed via hematoxylin-eosin(HE)stai-ning.Transcriptome sequencing was conducted for library construction and sequencing.Differentially expressed genes(DEGs)were identified using DESeq2,followed by Gene Ontology(GO)functional enrichment analysis and Kyoto Ency-clopedia of Genes and Genomes(KEGG)pathway analysis.A protein-protein interaction(PPI)network was constructed to screen hub genes,and RT-PCR was employed to validate mRNA expression levels of key genes.Results HE staining revealed orderly arranged corneal stromal layers and scattered stromal cells in the control group,whereas the alkali burn group exhibited stromal edema,thickened collagen fibers with loose/disorganized alignment,and increased fibroblast and inflammatory cell infiltration.Compared to the control group,1 827 significant DEGs were identified in the alkali burn group,including 1 495 upregulated and 332 downregulated genes.GO analysis showed biological processes such as immune response,plasma membrane,and identical protein binding.KEGG analysis indicated that DEGs were enriched in pathways related to cancer,lipid and atherosclerosis,and neuroactive ligand-receptor interaction.The PPI network screened 11 key genes:neutrophil cytosolic factor 1(NCF1),neutrophil cytosolic factor 2(NCF2),matrix metallopeptidase 2(MMP2),ma-trix metallopeptidase 9(MMP9),interleukin-1α(IL-1α),interleukin-1β(IL-1β),interleukin-6(IL-6),interleukin-8(CXCL8),cluster of differentiation 4(CD4),C-C motif ligand 2(CCL2)and tumor necrosis factor(TNF).RT-PCR valida-tion revealed that the mRNA expression levels of key genes in the corneal tissues of the alkali burn group were significantly higher than those in the control group(all P＜0.05),consistent with the transcriptomic sequencing results.Conclusion Based on the rabbit corneal alkali burn model,this study identified 11 key genes(NCF1,NCF2,MMP2,MMP9,IL-1α,IL-1β,IL-6,CXCL8,CD4,CCL2 and TNF)through transcriptomics and bioinformatics analysis.

Objective:To investigate the laboratory diagnostic value of 5 new blood routine indexes in chronic hepatitis B (CHB), liver cirrhosis and hepatocellular carcinoma (HCC).Methods:The retrospective study included 65 patients with chronic HBV infection, 72 patients with liver cirrhosis and 163 patients with HCC recruited at Liver Disease Center in First Affiliated Hospital of Fujian Medical University, as well as 52 healthy controls recruited from the Physical Examination Center of the First Affiliated Hospital of Fujian Medical University from October 2022 to April 2023. Five new parameters [early granulated cell percent (EGC%), early granulated cell absolute count (EGC#), microcytic anemia factor (MAF), leukocyte estimate(corrected)from the DIFF optical channel (WDOP) and leukocyte estimate(corrected)from the NRBC optical channel (WNOP)] were detected by UniCel DxH 900 blood cell analyzer. Univariate analysis of the expression levels of the 5 new parameterswere compared among CHB, liver cirrhosis and HCC groups. Pearson correlation analysis was used to explore the correlation between the 5 new parameters and HBV-related markers in CHB and Child-Pugh score in liver cirrhosis. Receiver operating characteristic (ROC) curve and AUC were used to estimate the diagnostic capacity of the 5 new blood routine indexes in CHB, liver cirrhosis and HCC.Results:In patients with CHB, the levels of EGC% ( Z=4.613, P<0.001) and EGC# ( Z=4.220, P<0.001) were higher than those of healthy controls; EGC# was positively correlated with HBsAg and HBeAg (both P<0.05). In patients with cirrhosis, the level of MAF ( Z=-4.928, P<0.001) was lower than that of healthy controls, and Child-Pugh score was found to be negatively correlated with MAF ( r=-0.349, P<0.05). In HCC patients, WDOP ( Z=2.45, P=0.017) and WNOP ( Z=2.90, P=0.017) levels were higher in patients with tumor volume>3 cm 3 than those in patients with volume ≤3 cm 3. The AUCs of combination of 5 new parameters to diagnose CHB, liver cirrhosis and HCC were 0.901 (95% CI 0.830-0.973, P<0.001), 0.946 (95% CI 0.909-0.984, P<0.001), and 0.904 (95% CI 0.858-0.950, P<0.001). Conclusions:The 5 new parameters based on peripheral blood cell analysis have good clinical value in the diagnosis of CHB, liver cirrhosis and HCC diseases.

Objective:To understand the epidemiological characteristics of central obesity and pre-central obesity and influencing factors in residents in Jilin Province, and provide reference for the prevention and control of central obesity and pre-central obesity.Methods:Based on the results of early screening and comprehensive intervention program in high-risk groups of cardiovascular disease in Jilin dyring 2017-2018, a total of 11 903 participants aged 35-75 years in 6 project areas in Jilin were included as the survey subjects for physical examination, laboratory test and questionnaire survey. The prevalence of central obesity and pre-central obesity in populations with different characteristic and health status were analyzed by χ2 test, trend χ2 test, F-test. Multivariate logistic regression model was used for influencing factor analysis. Results:The central obesity rate was 33.35% (3 970/11 903), the standardized rate was 31.73%, the pre-central obesity rate was 28.79% (3 427/11 903), the standardized rate was 28.86%. Multifactor analysis results showed that being rural resident ( OR=1.99, 95% CI: 1.78-2.23), being woman ( OR=1.76, 95% CI: 1.57-1.97), 65-75 years old ( OR=1.21, 95% CI: 1.03-1.45), senior high school and technical secondary school education level ( OR=1.38, 95% CI: 1.17-1.63), annual family income >100 000 yuan ( OR=1.65, 95% CI: 1.20-2.26), overweight ( OR=9.27, 95% CI: 8.26-10.41), obesity ( OR=82.82, 95% CI: 62.63-109.52), normal high blood pressure ( OR=1.49, 95% CI: 1.27-1.74), hypertension ( OR=1.70, 95% CI: 1.42-2.04), diabetes ( OR=2.30, 95% CI: 1.94-2.73), dyslipidemia ( OR=1.33, 95% CI: 1.18-1.50) were positively related to the risk for central obesity and pre central obesity. Conclusions:The prevalence rates of central obesity and pre central obesity in residents in Jilin were at high levels, being rural resident, being woman, older age, senior high school and technical secondary school education level, high income, overweight and obesity, normal high blood pressure and hypertension, diabetes, dyslipidemia were risk factors for central obesity and pre-central obesity in Jilin.

The count and recognition of white blood cells in blood smear images play an important role in the diagnosis of blood diseases including leukemia. Traditional manual test results are easily disturbed by many factors. It is necessary to develop an automatic leukocyte analysis system to provide doctors with auxiliary diagnosis, and blood leukocyte segmentation is the basis of automatic analysis. In this paper, we improved the U-Net model and proposed a segmentation algorithm of leukocyte image based on dual path and atrous spatial pyramid pooling. Firstly, the dual path network was introduced into the feature encoder to extract multi-scale leukocyte features, and the atrous spatial pyramid pooling was used to enhance the feature extraction ability of the network. Then the feature decoder composed of convolution and deconvolution was used to restore the segmented target to the original image size to realize the pixel level segmentation of blood leukocytes. Finally, qualitative and quantitative experiments were carried out on three leukocyte data sets to verify the effectiveness of the algorithm. The results showed that compared with other representative algorithms, the proposed blood leukocyte segmentation algorithm had better segmentation results, and the mIoU value could reach more than 0.97. It is hoped that the method could be conducive to the automatic auxiliary diagnosis of blood diseases in the future.
Algorithms ; Leukocytes

Objective To investigate the role of SDH2 gene in the environmental adaptability of Candida albicans. Methods Wild-type C. albicans strain SC5314, SDH2 gene knockout mutant sdh2Δ/Δ and reintegrated strain sdh2Δ/SDH2 were used as experimental objects. Spot assay was conducted to assess the sensitivity of the WT C. albicans strain SC5314, SDH2 gene knockout mutant sdh2Δ/Δ and reintegrated strain sdh2Δ/SDH2 to external stress stimulants and antifungal drugs. The effect of SDH2 gene deletion on drug efflux ability of C. albicans was determined by rhodamine 6G efflux assay. Results After SDH2 gene deletion, C. albicans showed slight tolerance to cell wall stress stimulants caffeine, oxidative stress stimulators diamide and menadione. Notably, the sensitivity of SDH2 gene knockout mutant sdh2Δ/Δ to azole antifungal drugs was significantly increased. The drug efflux capacity of C. albicans was decreased due to the deletion of SDH2 gene. Conclusion SDH2 gene deletion lead to changes in environmental adaptability of C. albicans, including changes in response to external environmental stress and increased sensitivity to azole antifungal drugs. The development of fungal-specific inhibitor targeting SDH2 gene may lead to the discovery of new antifungal drugs which have synergistic effect with azole drugs.

Objective:To observe the effect of gaze stabilization exercises on the balance of stroke patients.Methods:Forty stroke patients were randomly divided into an experimental group ( n=20) and a control group ( n=20). Both groups were given conventional rehabilitation therapy, while the experimental group was additionally provided with gaze stabilization exercises, once a day, five days a week, for a total of four weeks. Each session lasted 30 minutes. Before and after the four weeks, both groups were evaluated in terms of their envelope ellipse area and the plantar pressure distribution on the affected side in static standing and using the anterior-posterior center of pressure displacement velocity (AP-COPV). They were also assessed using the Berg Balance Scale (BBS), the timed up-and-go test (TUGT), and the Activities-specific Balance Confidence Scale (ABC). Results:After the gaze stabilization exercises, the average envelope ellipse area, the plantar pressure distribution of the affected side with the eyes open and closed, AP-COPV, BBS score, TUGT time and ABC score of the experimental group were significantly superior to the control group′s averages and to the results four weeks previously.Conclusions:Gaze stabilization exercises can improve balance, weight shifting and one-leg standing after a stroke. That should enhance balance confidence and reduce the risk of falling.