Objective: To explore the types of medication adherence and their influencing factors among inpatients with chronic diseases based on latent profile analysis, so as to provide the basis for improving medication adherence among patients with chronic diseases. Methods: The inpatients with chronic diseases admitted to the Second Affiliated Hospital of Hainan Medical University were selected as the study subjects. Demographic information, chronic disease status, and health education were collected through questionnaire surveys. Medication adherence was assessed using the Medication Adherence Scale and categorized based on the scores of its eight items through latent profile analysis. Factors affecting medication adherence among inpatients with chronic diseases were analyzed using a multinomial logistic regression model. Results: Totally 290 valid questionnaires were recovered, with an effective recovery rate of 97.64%. There were 157 males (54.14%) and 133 females (45.86%), with a median age of 61 (interquartile range, 21) years. The median score of medication adherence was 4.75 (interquartile range, 4.50). Based on latent profile analysis, medication adherence was categorized into three types: subjective neglect with poor adherence (38.97%), subjective confidence with fluctuating adherence (28.28%), and self-reflective with good adherence (32.76%). Multinomial logistic regression analysis showed that compared to the subjective confidence with fluctuating adherence, family monthly income (5 000-10 000 yuan, OR=2.981, 95%CI: 1.055-8.429), comorbidity of chronic diseases (OR=3.478, 95%CI: 1.579-7.661), number of health education sessions received in the past year (≤1 session, OR=0.329, 95%CI: 0.120-0.907; 2 sessions, OR=0.363, 95%CI: 0.138-0.950), and health information literacy scores (<60 points, OR=2.596, 95%CI: 1.209-5.573) were statistically associated with subjective neglect with poor adherence (all P<0.05). Conclusion Subjective neglect with poor medication adherence among inpatients with chronic diseases is associated with family monthly income, comorbidity of chronic diseases, the number of health education sessions received, and health information literacy.

ObjectiveTo investigate the effects of three traditional Chinese medicine formulas for nourishing kidney Yin on the occurrence of breast cancer， including Zuoguiwan（ZGW）， Liuwei Dihuangwan（LWDHW） and Erzhiwan（EZW）， and to explore their preventive mechanisms from the phagocytic function of macrophages. MethodsTen-month-old post-breeding female mice were randomly divided into the blank group， soy isoflavone group（0.13 g·kg^-1·d^-1， mixed with feed）， ZGW group（2.34 g·kg^-1·d^-1）， LWDHW group（0.56 g·kg^-1·d^-1）， and EZW group（4.68 g·kg^-1·d^-1）. The mice were palpated every 3 d until the age of 18 months， and those with detected lumps were confirmed for tumor development through hematoxylin-eosin（HE） staining， and the incidence of breast cancer in mice was calculated. A total of 40 SPF-grade female SD rats were randomly divided into the blank serum group（physiological saline）， ZGW drug-containing serum group（16.20 g·kg^-1·d^-1of ZGW）， LWDHW drug-containing serum group（3.89 g·kg^-1·d^-1 of LWDHW） and EZW drug-containing serum group（32.40 g·kg^-1·d^-1 of EZW）， each group was orally administered 3 times a day for 5 consecutive days. On the 5^th day， blood was collected from the abdominal aorta 1 h after the last gavage to prepare drug-containing serum. The effect of drug-containing serum with different concentrations on the viability of RAW264.7 cells was assessed by cell counting kit-8（CCK-8）. Taking 20% of drug-containing serum concentration as the research object， its effect on the expression levels of major histocompatibility complex-Ⅱ（MHC-Ⅱ）， CD80 and CD86 on the surface of RAW264.7 cells was detected by immunofluorescence（IF）， the phagocytic function of RAW264.7 cells was examined by flow cytometry， and the levels of interleukin-6（IL-6） and nitric oxide（NO） in RAW264.7 cells in the conditioned medium（CM） co culture system of 4T1 cells were detected by enzyme-linked immunosorbent assay（ELISA） and Griess assay. ResultsAfter prophylactic administration， the tumor incidence rates in the soy isoflavone group（4%）， ZGW group（4%）， LWDHW group（4%）， and EZW group（6%） were lower than that in the blank group（8%）. Compared with the blank serum group， the drug-containing serum of the three nourishing kidney Yin formulas could enhance the expression levels of MHC-Ⅱ， CD80 and CD86 on the surface of RAW264.7 cells， enhance phagocytic ability towards tumor cells， and reduce the content of IL-6 and increase the level of NO（P<0.05， P<0.01）. ConclusionThe three nourishing kidney Yin formulas can reduce the incidence of tumor in mice， the mechanism may be related to activating RAW264.7 cells， increasing their phagocytosis to breast cancer cells， and regulating the secretion of IL-6 and NO.

Oxidative stress due to aberrant metabolism is considered as a crucial contributor to diabetes and its complications. Hyperglycemia and hyperlipemia boost excessive reactive oxygen species generation by elevated mitochondrial respiration, increased nicotinamide adenine dinucleotide phosphate oxidase activity, and enhanced pro-oxidative processes, including protein kinase C pathways, hexosamine, polyol, and advanced glycation endproducts, which exacerbate oxidative stress. Oxidative stress plays a significant role in the onset of diabetes and its associated complications by impairing insulin production, increasing insulin resistance, maintaining hyperglycemic memory, and inducing systemic inflammation. A more profound comprehension of the molecular processes that link oxidative stress to diabetes is crucial to new preventive and therapeutic strategies. Therefore, this review discusses the mechanisms underlying how oxidative stress contributes to diabetes mellitus and its complications. We also summarize the current approaches for prevention and treatment by targeting the oxidative stress pathways in diabetes.
Oxidative Stress/physiology* ; Humans ; Diabetes Mellitus/physiopathology* ; Diabetes Complications/metabolism* ; Reactive Oxygen Species/metabolism* ; Glycation End Products, Advanced/metabolism* ; Animals

BACKGROUND: Asthma is a common chronic inflammatory airway disease and intermittent hypoxia is increasingly recognized as a factor that may impact disease progression. The present study investigated whether intermittent hypoxia (IH) could aggravate asthma by promoting hypoxia-inducible factor-1α (HIF-1α)/nucleotide-binding oligomerization domain (NOD)-like receptor pyrin domain-containing protein 3 (NLRP3)/interleukin (IL)-1β-dependent pyroptosis and the inflammatory response and further elucidated the underlying molecular mechanisms involved. METHODS: A total of 49 patients diagnosed with severe bronchial asthma and diagnosed by polysomnography were enrolled at Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, between January 2022 and December 2022, and their general data and induced sputum were collected. BEAS-2B cells were treated with IL-13 and subjected to IH. An ovalbumin (OVA)-treated mouse model was also used to assess the effects of chronic intermittent hypoxia (CIH) on asthma. Pyroptosis, the inflammatory response, and related signalling pathways were assessed in vivo and in vitro . RESULTS: In this study, as the apnoea and hypopnea index (AHI) increased, the proportion of patients with uncontrolled asthma increased. The proportions of neutrophils and the levels of IL-6, IL-8, HIF-1α and NLRP3 in induced sputum were related to the AHI. NLRP3-mediated pyroptosis, which could be mediated by the HIF-1α signalling pathway, was activated in IL-13 plus IH-treated BEAS-2B cells and in the lungs of OVA/CIH mice. HIF-1α downregulation significantly reduced lung pyroptosis and ameliorated neutrophil inflammation by modulating the NLRP3/IL-1β pathway both in vitro and in vivo . Similarly, pretreatment with LW6, an inhibitor of HIF-1α, effectively blocked the generation of inflammatory cytokines in neutrophils. In addition, administration of the NLRP3 activator nigericin obviously increased lung neutrophil inflammation. CONCLUSIONS Obstructive sleep apnoea-hypopnea syndrome (OSAHS) is a risk factor for asthma exacerbation. IH aggravates neutrophil inflammation in asthma via NLRP3/IL-1β-dependent pyroptosis mediated by the HIF-1α signalling pathway, which should be considered a potential therapeutic target for the treatment of asthma with OSAHS.
NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Humans ; Asthma/metabolism* ; Animals ; Pyroptosis/physiology* ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Mice ; Signal Transduction/physiology* ; Male ; Hypoxia/metabolism* ; Female ; Interleukin-1beta/metabolism* ; Adult ; Inflammation/metabolism* ; Middle Aged ; Mice, Inbred C57BL

In current clinical practice, various dermal templates and skin substitutes are used to enhance wound healing. However, the role of wound commensal microbiome in regulating scaffold performance and the healing process remains unclear. In this study, we investigated the influence of both natural and synthetic scaffolds on the wound commensal microbiome and wound repair in three distinct models including diabetic wounds, burn injuries, and germ-free (GF) wounds. Remarkably, synthetic electrospun polycaprolactone (PCL) scaffolds were observed to positively promote microbiome diversity, leading to enhanced diabetic wound healing compared to the natural scaffolds Integra® (INT) and MatriDerm® (MAD). In contrast, both natural and synthetic scaffolds exhibited comparable effects on the diversity of the microbiome and the healing of burn injuries. In GF wounds with no detectable microorganisms, a reversed healing rate was noted showing natural scaffold (MAD) accelerated wound repair compared to the open or the synthetic scaffold (PCL) treatment. Furthermore, the response of the wound commensal microbiome to PCL scaffolds appears pivotal in promoting anti-inflammatory factors during diabetic wound healing. Our results emphasize that the wound commensal microbiome, mediated by different scaffolds plays an important role in the wound healing process.

Objective This study aimed to identify differentially methylated genes (DMGs) associated with natural killer cells in patients with autoimmune thyroiditis (AIT),focusing on the influence of varying water iodine exposure levels. Methods Participants were divided into categories based on median water iodine (MWI) concentrations:iodine-fortified areas (IFA,MWI<10 μg/L),iodine-adequate areas (IAA,40 ≤ MWI ≤ 100μg/L),and iodine-excessive areas (IEA,MWI>300 μg/L). A total of 176 matched AIT cases and controls were recruited and divided into 89,40,and 47 pairs for IFA,IAA,and IEA,respectively. DMGs were identified using 850K BeadChip analysis for 10/10 paired samples. Validation of DNA methylation and mRNA expression levels of the DMGs was conducted using MethylTarget? and QRT-PCR for 176/176 paired samples. Results KLRC1,KLRC3,and SH2D1B were identified as significant DMGs. Validation revealed that KLRC1 was hypomethylated and highly expressed,whereas KLRC3 was hypermethylated and highly expressed in individuals with AIT. Furthermore,KLRC1 was hypomethylated and highly expressed in both IFA and IEA. Conclusion The DNA methylation status of KLRC1 and KLRC3 may play crucial roles in AIT pathogenesis. Additionally,DNA methylation of KLRC1 seems to be influenced by different iodine concentrations in water.

Objective　To explore the effect of Mp1p on host macrophages through transcriptomics combined with metabolomics. Methods Firstly, a THP-1 macrophage strain (THP-1-Mp1p+) stably expressing Mp1p was constructed using lentivirus. Secondly, using high-throughput RNA sequencing (RNA Seq) technology, the expression level of intracellular mRNA was detected in transcriptomics analysis to determine differentially expressed genes; In metabolomics analysis, metabolite identification was performed through database comparison, and pathway analysis was performed on differential metabolites to reveal potential mechanisms of action. Finally, the results of metabolomics and transcriptomics were combined for analysis, and differential metabolites and genes were analyzed to further elucidate the mechanism of action of Mp1p on macrophages. Results Transcriptome analysis showed that, compared with the negative control group, the THP-1-Mp1p+ group had a total of 1 180 differentially expressed genes (DEGs), with 345 upregulated genes and 835 downregulated genes. GO enrichment analysis of DEGs showed that there were 135 differentially expressed genes, including 105 in biological processes (BP), 28 in cellular components (CC), and 2 in molecular functions (MF). The KEGG analysis results showed that the effect of Mp1p on THP-1 macrophages was highly correlated with the TNF pathway. The metabolomic analysis found that both the blank control group and the THP-1-Mp1p+ macrophage group achieved good separation between QC samples in both positive and negative ion modes. The threshold for significant differential metabolites was set at: VIP≥1 and T-test P<0.05, resulting in the identification of 488 differential metabolites, with 230 in the positive ion mode and 258 in the negative ion mode. Pathway enrichment analysis of the identified metabolites pointed to significant enrichment in metabolic pathways. The combined analysis confirmed that the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and NF-kappaB signaling pathway were important metabolic pathways involved. Conclusions The virulence factor Mp1p may affect host macrophages by modulating the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and NF-kappaB signaling pathway. The findings contribute to a better understanding of the mechanisms of action of Mp1p and may offer potential directions for the selection of relevant diagnostic and therapeutic targets in the future.

Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.

The automatic detection of tuberculosis lesions based on medical imaging has become a research hotspot in medical image processing.A comprehensive review of relevant researches and applications pertaining to deep learning in tuberculosis lesion detection is provided,which elucidates the experimental benchmarks in tuberculosis analysis,covering public datasets of pulmonary medical images and recent research advancements in tuberculosis detection and classification competitions,introduces emerging trends in deep learning methods and applications in tuberculosis detection,and analyzes the challenges existing in tuberculosis diagnosis using deep learning.The review summarizes and provides insights into the research advances and challenges of these technologies from the aspects of technical characteristics,performance advantages,and application prospects.

Objective To study the effectiveness of pro-abdominal exercise in improving the quality of gastroscopy,and provide patients with a better preoperative preparation for gastroscopy.Methods 307 patients who underwent painless gastroscopy from March to July 2023 were selected and divided into three groups according to the random number table method.There were 106 cases in the abdominal massage group,103 cases in the bed turning group and 98 cases in the control group.On the basis of routine medication,different preoperative activity guidance was used to compare and analyze the preoperative preparation time,examination time and gastric mucosal visual field clarity score in each group.Results The gastroscopy time in the abdominal massage group and the bed-turning group was significantly shorter than that in the control group,and the clarity score of the gastric mucosal visual field was significantly lower than that of the control group,with statistically significant differences(P<0.05).However,there were no statistically significant differences in the gastroscopy time or visual field clarity score for gastric body,gastric fundus,and gastric antrum between the abdominal massage group and the bed-turning group(P>0.05).The satisfaction rate of endoscopists in the abdominal massage group and the bed turning group was higher than that in the control group,and the differences were statistically significant.Conclusion Abdominal massage and turning over in bed as preoperative preparation methods for gastroscopy can improve the quality of gastroscopy,while abdominal massage can shorten the preparation time before gastroscopy,which is helpful for the efficient operation of digestive endoscopy center and is worthy of clinical application.