[Objective] To explore quality issues and quality management measures in alanine aminotransferase (ALT) testing, aiming to improve consistency and accuracy of ALT test results by analyzing the outcomes from different pre-donation screening methods and different sample sources. [Methods] Data were collected from 58 blood collection and supply institutions across China. ALT test results from donor samples analyzed by dry chemistry analyzers, semi-automatic biochemical analyzers, and automatic biochemical analyzers were compared, focusing on the influence of venous versus capillary blood samples on testing accuracy. By comparing results from pre-donation screening with laboratory testing, the current state of quality management for different methods and sample types was assessed. Differences in ALT unqualified rates between laboratories were analyzed, and quality improvement strategies were proposed accordingly. [Results] No significant differences were found in laboratory ALT unqualified rates between venous and capillary blood samples during pre-donation screening across different analytical methods (P>0.05). However, laboratory ALT unqualified rates were consistently lower for venous blood compared to capillary blood, regardless of the testing method used (P<0.05). Notable differences in quality control were observed among various blood collection and supply institutions (P<0.05). [Conclusion] Minimal differences were observed between pre-donation ALT screening results obtained by the three analytical methods and laboratory test outcomes; thus, blood stations can select an appropriate testing method according to their specific conditions. Pre-donation screening using venous blood samples demonstrated superior reliability in quality control compared to capillary blood samples. Significant variations in ALT unqualified rates among blood stations suggest that blood collection and supply institutions should emphasize quality management at both the pre-donation screening and laboratory testing stages. Measures such as optimized standardized operating procedures, regular equipment calibration and maintenance, proficiency testing, internal quality control, inter-system comparisons, and enhanced personnel training and evaluation should be implemented to ensure consistent and stable screening results, thereby reducing ALT unqualified rates.

Background and Objectives: Heart failure is a potentially fatal event caused by diverse cardiovascular diseases, leading to high morbidity and mortality. Histone deacetylase (HDAC) inhibitors positively influence cardiac hypertrophy, fibrosis, hypertension, myocardial infarction, and heart failure, causing some side effects. We aimed to investigate the effect of the novel HDAC inhibitor YAK577 on the heart failure mouse model and its underlying mechanism. Methods: New hydroxamic acid YAK577 was prepared via methyl-2,3-diphenylpropanoate synthesis using carboxylic acids. We used a micro-osmotic pump, including isoproterenol (ISO; 80 mg/kg/day), to induce a heart failure with reduced ejection fraction. Cardiac hypertrophy was assessed by heart weight to body weight ratio and cross-sectional area.The left ventricular (LV) function was assessed by echocardiography. Fibrosis was evaluated using picrosirius red staining. Overexpression and knockdown experiments were performed to investigate the association between HDAC8 and matrix metalloproteinase 12 (MMP12). Results: YAK577 treatment restored ISO-induced reduction in LV fractional shortening and ejection fraction (n=9–11). YAK577 significantly downregulated cardiac hypertrophy marker genes (natriuretic peptide B, NPPB, and myosin heavy chain 7, MYH7) and cardiomyocyte size in vitro but not in vivo. YAK577 ameliorated cardiac fibrosis and fibrosis-related genes in vivo and in vitro. Additionally, YAK577 reduced elevated HDAC8 and MMP12 mRNA and protein expressions in ISO-infused mice, H9c2 cells, and rat neonatal cardiomyocytes.HDAC8 overexpression stimulated MMP12 and NPPB mRNA levels, while HDAC8 knockdown downregulated these genes. Conclusions YAK577 acts as a novel heart failure drug through the HDAC8/MMP12 pathway.

Background and Objectives: Heart failure is a potentially fatal event caused by diverse cardiovascular diseases, leading to high morbidity and mortality. Histone deacetylase (HDAC) inhibitors positively influence cardiac hypertrophy, fibrosis, hypertension, myocardial infarction, and heart failure, causing some side effects. We aimed to investigate the effect of the novel HDAC inhibitor YAK577 on the heart failure mouse model and its underlying mechanism. Methods: New hydroxamic acid YAK577 was prepared via methyl-2,3-diphenylpropanoate synthesis using carboxylic acids. We used a micro-osmotic pump, including isoproterenol (ISO; 80 mg/kg/day), to induce a heart failure with reduced ejection fraction. Cardiac hypertrophy was assessed by heart weight to body weight ratio and cross-sectional area.The left ventricular (LV) function was assessed by echocardiography. Fibrosis was evaluated using picrosirius red staining. Overexpression and knockdown experiments were performed to investigate the association between HDAC8 and matrix metalloproteinase 12 (MMP12). Results: YAK577 treatment restored ISO-induced reduction in LV fractional shortening and ejection fraction (n=9–11). YAK577 significantly downregulated cardiac hypertrophy marker genes (natriuretic peptide B, NPPB, and myosin heavy chain 7, MYH7) and cardiomyocyte size in vitro but not in vivo. YAK577 ameliorated cardiac fibrosis and fibrosis-related genes in vivo and in vitro. Additionally, YAK577 reduced elevated HDAC8 and MMP12 mRNA and protein expressions in ISO-infused mice, H9c2 cells, and rat neonatal cardiomyocytes.HDAC8 overexpression stimulated MMP12 and NPPB mRNA levels, while HDAC8 knockdown downregulated these genes. Conclusions YAK577 acts as a novel heart failure drug through the HDAC8/MMP12 pathway.

Background and Objectives: Heart failure is a potentially fatal event caused by diverse cardiovascular diseases, leading to high morbidity and mortality. Histone deacetylase (HDAC) inhibitors positively influence cardiac hypertrophy, fibrosis, hypertension, myocardial infarction, and heart failure, causing some side effects. We aimed to investigate the effect of the novel HDAC inhibitor YAK577 on the heart failure mouse model and its underlying mechanism. Methods: New hydroxamic acid YAK577 was prepared via methyl-2,3-diphenylpropanoate synthesis using carboxylic acids. We used a micro-osmotic pump, including isoproterenol (ISO; 80 mg/kg/day), to induce a heart failure with reduced ejection fraction. Cardiac hypertrophy was assessed by heart weight to body weight ratio and cross-sectional area.The left ventricular (LV) function was assessed by echocardiography. Fibrosis was evaluated using picrosirius red staining. Overexpression and knockdown experiments were performed to investigate the association between HDAC8 and matrix metalloproteinase 12 (MMP12). Results: YAK577 treatment restored ISO-induced reduction in LV fractional shortening and ejection fraction (n=9–11). YAK577 significantly downregulated cardiac hypertrophy marker genes (natriuretic peptide B, NPPB, and myosin heavy chain 7, MYH7) and cardiomyocyte size in vitro but not in vivo. YAK577 ameliorated cardiac fibrosis and fibrosis-related genes in vivo and in vitro. Additionally, YAK577 reduced elevated HDAC8 and MMP12 mRNA and protein expressions in ISO-infused mice, H9c2 cells, and rat neonatal cardiomyocytes.HDAC8 overexpression stimulated MMP12 and NPPB mRNA levels, while HDAC8 knockdown downregulated these genes. Conclusions YAK577 acts as a novel heart failure drug through the HDAC8/MMP12 pathway.

Background and Objectives: Heart failure is a potentially fatal event caused by diverse cardiovascular diseases, leading to high morbidity and mortality. Histone deacetylase (HDAC) inhibitors positively influence cardiac hypertrophy, fibrosis, hypertension, myocardial infarction, and heart failure, causing some side effects. We aimed to investigate the effect of the novel HDAC inhibitor YAK577 on the heart failure mouse model and its underlying mechanism. Methods: New hydroxamic acid YAK577 was prepared via methyl-2,3-diphenylpropanoate synthesis using carboxylic acids. We used a micro-osmotic pump, including isoproterenol (ISO; 80 mg/kg/day), to induce a heart failure with reduced ejection fraction. Cardiac hypertrophy was assessed by heart weight to body weight ratio and cross-sectional area.The left ventricular (LV) function was assessed by echocardiography. Fibrosis was evaluated using picrosirius red staining. Overexpression and knockdown experiments were performed to investigate the association between HDAC8 and matrix metalloproteinase 12 (MMP12). Results: YAK577 treatment restored ISO-induced reduction in LV fractional shortening and ejection fraction (n=9–11). YAK577 significantly downregulated cardiac hypertrophy marker genes (natriuretic peptide B, NPPB, and myosin heavy chain 7, MYH7) and cardiomyocyte size in vitro but not in vivo. YAK577 ameliorated cardiac fibrosis and fibrosis-related genes in vivo and in vitro. Additionally, YAK577 reduced elevated HDAC8 and MMP12 mRNA and protein expressions in ISO-infused mice, H9c2 cells, and rat neonatal cardiomyocytes.HDAC8 overexpression stimulated MMP12 and NPPB mRNA levels, while HDAC8 knockdown downregulated these genes. Conclusions YAK577 acts as a novel heart failure drug through the HDAC8/MMP12 pathway.

Objective To investigate the sputum metabolic profiles of patients with occupational coal workers' pneumoconiosis (CWP) by an untargeted metabolomics method, and to identify relevant differential metabolic pathways and potential biomarkers. Methods A total of 12 male patients with stage Ⅰ CWP were selected as the CWP group, and 16 healthy male individuals were selected as the control group, using a judgmental sampling method. Sputum metabolites of individuals in both groups were detected to perform non-targeted metabolomic analysis using the ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Differential metabolites (DMs) and their pathways were screened using principal component analysis, partial least squares discriminant analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Potential biomarkers were analyzed and identified via the receiver operating characteristic curve (ROC). Results There were apparent metabolic alterations observed in sputum of CWP patients compared with healthy controls. In the positive ion mode, a total of 42 DMs were identified in sputum from CWP patients, including 19 downregulated and 23 upregulated metabolites. In the negative ion mode, a total of 25 DMs were identified in sputum from CWP patients, including 16 downregulated and 9 upregulated metabolites. KEGG enrichment analysis of sputum from CWP patients showed that seven DMs pathways were enriched in ABC transporters, histidine metabolism, phenylalanine metabolism, arachidonic acid metabolism, linoleic acid metabolism, purine metabolism, and oxidative phosphorylation, involving 26 DMs. ROC analysis indicated that 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate of these 26 DMs may serve as potential biomarkers for CWP. Conclusion Sputum metabolomic profiles were altered in CWP patients compared with healthy controls. The potential biomarkers of CWP prevention and treatment are 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate.

With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.

Objective: To investigate the status of drug resistance before anti-retroviral therapy among newly dignosed HIV/AIDS patients aged ≥50 years in Yangzhou City, Jiangsu Province, so as to provide the evidence for improving the anti-retroviral therapy effect of AIDS. Methods: HIV/AIDS patients aged ≥50 years who were newly dignosed in Yangzhou City from 2021 to 2024 and did not receive anti-retroviral therapy were selected. Basic information were collected through the Chinese Disease Prevention and Control Information System. Blood samples were collected to determine CD4+T lymphocyte (CD4 cell) counts and HIV-1 viral load. Following nucleic acid extraction, the pol gene region was amplified using reverse transcription and nested PCR, and subsequently subjected to Sanger sequencing. The resulting sequences were uploaded to the Stanford University HIV Drug Resistance Database to analyze drug resistance to non-nucleoside reverse transcriptase inhibitors (NNRTIs), protease inhibitors (PIs), and nucleoside reverse transcriptase inhibitors (NRTIs). Results: Totally 404 blood samples from HIV/AIDS patients were collected, with successful sequencing of the pol gene region in 341 cases. Among them, 253 (74.19%) were males and 88 (25.81%) were females, with a mean age of (62.48±7.60) years. A total of 152 cases (44.57%) had CD4 cell counts below 200 cells/μL, and 296 cases (86.80%) had HIV-1 viral loads exceeding 5 000 copies/mL. A total of 87 cases exhibited drug resistance-associated mutations, corresponding to a mutation rate of 25.51%. The predominant mutation site was V179, with a mutation rate of 17.01%. A total of 29 cases exhibited resistance to at least one drug, resulting in a resistance rate of 8.50%. The resistance rates to NNRTIs, PIs, and NRTIs were 5.57%, 2.93%, and 1.17%, respectively. The HIV/AIDS patients exhibited varying degrees of resistance to 13 anti-retroviral drugs, with low- or intermediate-level drug resistance being predominant. High-level drug resistance cases were observed against NNRTIs such as nevirapine and efavirenz. Conclusions The drug resistance rate before anti-retroviral therapy among newly dignosed HIV/AIDS patients aged ≥50 years in Yangzhou City was at a moderate level. The predominant resistance mutation was observed at V179 site, with NNRTIs resistance being most prevalent, primarily demonstrating low- or intermediate-level drug resistance.

OBJECTIVE: To analyze the rules of moxibustion for low back pain by ZHOU Meisheng by using data mining and knowledge graph technology. METHODS: Taking the medical cases of moxibustion for low back pain from ZHOU Meisheng's legacy manuscripts and existing works as the research objects, information on disease types, symptoms, tongue manifestations, pulse conditions, syndrome patterns, moxibustion methods and acupoints were collected. Frequency statistics and community analysis were conducted by the ancient and modern medical record cloud platform V 2.3.7, cluster analysis of high-frequency acupoints was performed by SPSS26.0, association rule analysis of high-frequency acupoints was performed by SPSS Modeler 18.0, and the generated linked data were imported into Cytoscape 3.9.1 for complex network analysis. Knowledge graph of moxibustion for low back pain by ZHOU Meisheng was constructed based on the results of data mining. The data storage and display of knowledge graph were realized through the Neo4j 3.5.25 graph database, and the Cypher query language was used for knowledge graph retrieval and discovery. RESULTS: A total of 219 medical cases were collected, involving 14 disease types, 85 related clinical symptoms, 5 related TCM syndrome types, and 6 moxibustion methods. The acupoints were mostly attributed to the governor vessel, the bladder meridian of foot-taiyang, non-meridian and non-acupoint areas. The core prescription of acupoints derived from complex network analysis included tender points, Shenshu (BL23), Jinsuo (GV8), Yinjiao (CV7), Yaoyangguan (GV3), Yanglingquan (GB34), which were largely coincides with high-frequency acupoints. Cluster analysis obtained 4 cluster combinations. Community analysis yielded 6 communities, each corresponding to different acupoints.The constructed knowledge graph contained 187 nodes and 696 relationships, by retrieving clinical elements related to low back pain, the disease-moxibustion association graph, disease-acupoint association graph, accompanying symptom-acupoint association graph and syndrome type-matching point association graph were obtained. CONCLUSION When treating low back pain with moxibustion, ZHOU Meisheng adopts the principle of promoting circulation, distinguishing diseases to determine the treatment, selecting acupoints according to the diseases, and matching points according to the symptoms.And taking tender points, Shenshu (BL23), Jinsuo (GV8), Yinjiao (CV7), Yaoyangguan (GV3), Yanglingquan (GB34) as core acupoints, combined with tenderness point selection, acupoint selection based on meridian and zangfu syndrome differentiation, "sunshine area" acupoint selection, yin-yang acupoint matching. Additionally, he skillfully employs special points, such as Zhongzhu (KI15) and ear tips, pays attention to the reform of moxibustion tools, and innovates the moxibustion techniques, using distinctive moxibustion tools and methods to treat low back pain.
Moxibustion/methods* ; Humans ; Data Mining ; Low Back Pain/history* ; Acupuncture Points ; History, Ancient ; Female ; China ; Male ; Adult ; Middle Aged

BACKGROUND: Diabetic foot is a complex condition with high incidence, recurrence, mortality, and disability rates. Current treatments for diabetic foot ulcers are often insufficient. This study was conducted to identify potential therapeutic targets for diabetic foot. METHODS: Datasets related to diabetic foot and diabetic skin were retrieved from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using R software. Enrichment analysis was conducted to screen for critical gene functions and pathways. A protein interaction network was constructed to identify node genes corresponding to key proteins. The DEGs and node genes were overlapped to pinpoint target genes. Plasma and chronic ulcer samples from diabetic and non-diabetic individuals were collected. Western blotting, immunohistochemistry, and enzyme-linked immunosorbent assays were performed to verify the S100 calcium binding protein A9 (S100A9), inflammatory cytokine, and related pathway protein levels. Hematoxylin and eosin staining was used to measure epidermal layer thickness. RESULTS: In total, 283 common DEGs and 42 node genes in diabetic foot ulcers were identified. Forty-three genes were differentially expressed in the skin of diabetic and non-diabetic individuals. The overlapping of the most significant DEGs and node genes led to the identification of S100A9 as a target gene. The S100A9 level was significantly higher in diabetic than in non-diabetic plasma (178.40 ± 44.65 ng/mL vs. 40.84 ± 18.86 ng/mL) and in chronic ulcers, and the wound healing time correlated positively with the plasma S100A9 level. The levels of inflammatory cytokines (tumor necrosis factor-α, interleukin [IL]-1, and IL-6) and related pathway proteins (phospho-extracellular signal regulated kinase [ERK], phospho-p38, phospho-p65, and p-protein kinase B [Akt]) were also elevated. The epidermal layer was notably thinner in chronic diabetic ulcers than in non-diabetic skin (24.17 ± 25.60 μm vs. 412.00 ± 181.60 μm). CONCLUSIONS S100A9 was significantly upregulated in diabetic foot and was associated with prolonged wound healing. S100A9 may impair diabetic wound healing by disrupting local inflammatory responses and skin re-epithelialization.
Calgranulin B/therapeutic use* ; Diabetic Foot/metabolism* ; Humans ; Datasets as Topic ; Computational Biology ; Mice, Inbred C57BL ; Animals ; Mice ; Protein Interaction Maps ; Immunohistochemistry