Objective To investigate the development, role, and regulatory mechanism of macrophage efferocytosis in the liver of hosts infected with Schistosoma japonicum. Methods The expression of efferocytosis-related gene like efferocytosis receptors, efferocytosis-related bridging molecules,“eat me” signal and “don’t eat me” signal was detected in the livers of patients and mice infected with S. japonicum in the Gene Expression Omnibus (GEO) database. Ten wild-type (WT) male mice (6 ~ 8 weeks old, weighing 20 ~ 25 g) were randomly divided into a Schistosoma japonicum infection (SJ) group and a normal control (NC) group, with 5 mice in each group. The efferocytosis of neutrophils and T cells by liver macrophages was detected in mice from SJ group and NC group using flow cytometry and immunofluorescence assay, respectively. The expression of efferocytosis-related Mer receptor tyrosine kinase (MerTK) and Axl receptor tyrosine kinase (Axl) proteins was determined in mouse liver tissues using Western blotting assay, and the proportion of MerTK⁺ macrophages and the average fluorescence intensity of macrophage MerTK were detected in mouse livers using flow cytometry. Changes in liver granulomas and fibrosis were observed in mice infected with S. japonicum following injection of efferocytosis inhibitors, and S. japonicum-infected mice without injection of efferocytosis inhibitors served as controls. Bone marrow-derived macrophages (BMDMs) were isolated from macrophage scavenger receptor class A (SR-A) conditional knockout (CKO) and wild-type (WT) mice, and changes in apoptotic neutrophils were detected in SR-A CKO mouse macrophages in vitro using flow cytometry. Then, BMDMs was divided into the WT mono-culture group, the WT and apoptotic neutrophils co-culture group, the SR-A CKO mono-culture group, and the SR-A CKO and neutrophils co-culture group, and the expression of MerTK and Axl was quantified in vitro using Western blotting and real-time quantitative PCR (RT-qPCR) assays during neutrophil efferocytosis. The efferocytosis of neutrophils and T cells by mouse liver macrophages was detected in the SR-A CKO SJ group and the WT SJ group using flow cytometry and immunofluorescence assay, and the expression of MerTK and Axl proteins was determined in mouse liver tissues in both groups using Western blotting. In addition, the proportion of MerTK⁺ macrophages and the average fluorescence intensity of macrophage MerTK were detected in mouse livers in both groups using flow cytometry. Results Data from the GEO database showed that the expression of some efferocytosis receptors and efferocytosis-related bridging molecules, and “eat me” and “don’t eat me” signals all appeared a tendency towards a rise in livers of patients and mice in the SJ group relative to the NC group, suggesting that S. japonicum infection-induced liver diseases may be associated with efferocytosis. Flow cytometry detected higher proportions of Ly6G⁺ cells [(13.13 ± 0.45)% vs. (6.48 ± 0.25)%; t = 22.30, P < 0.05] and CD3⁺ cells [(7.60 ± 0.33)% vs. (3.30 ± 0.42)%; t = 13.98, P < 0.05] in mouse liver macrophages in the SJ group than in the NJ group, and the expression of MerTK protein [(2.30 ± 0.14) vs. (1.14 ± 0.46); t = 4.19, P < 0.05], the mean fluorescence intensity of macrophages [(160.67 ± 15.28) vs. (94.50 ± 19.61); t = 4.81, P < 0.05], and the proportion of MerTK⁺ macrophages [(20.78 ± 4.17)% vs. (6.85 ± 0.39)%; t = 6.57, P < 0.05] were significantly higher in mouse liver tissues in the SJ group than in the NC group. The Axl expression was lower in mouse liver tissues in the SJ group than in the NC group [(1.25 ± 0.08) vs. (1.93 ± 0.37); t = 2.79, P < 0.05], and the area of granulomas around single eggs [(9.18 ± 1.81) × 10⁴μm² vs. (5.24 ± 1.35) × 10⁴ μm²; t = 3.03, P < 0.05] and proportion of collagen fibers [(25.27 ± 3.99)% vs. (15.14 ± 4.02)%; t = 3.10, P < 0.05] were significantly greater in livers of S. japonicum-infected mice with injection of efferocytosis inhibitors than in mice without injection of efferocytosis inhibitors. The in vitro efferocytosis efficiency of BMDMs [(32.83 ± 3.17)% vs. (45.43 ± 2.34)%; t = 5.54, P < 0.05], and the proportions of Ly6G⁺ [(9.37 ± 0.48)% vs. (13.13 ± 0.72)%; t = 7.50, P < 0.05] and CD3⁺ cells [(4.95 ± 0.17)% vs. (7.64 ± 0.50)%; t = 8.87, P < 0.05] in liver macrophages post-infection with S. japonicum were significantly lower in SR-A CKO mice than in WT mice, and the expression of MerTK protein [(0.65 ± 0.25) vs. (1.96 ± 0.69); t = 3.10, P < 0.05], the average fluorescence intensity of macrophages [(138.33 ± 8.39) vs. (160.67 ± 15.28); t = 3.03, P < 0.05] and the proportion of MerTK⁺ macrophages [(13.17 ± 5.01)% vs. (22.63 ± 2.06)%; t = 3.56, P < 0.05] were significantly lower in mouse liver tissues in the SR-A CKO SJ group than in the WT group. Western blotting detected no significant difference in the Axl protein expression in mouse liver tissues between the SR-A CKO SJ group and the WT SJ group [(0.48 ± 0.07) vs. (0.68 ± 0.30); t = 1.09, P > 0.05]. There were significant differences in the relative MerTK mRNA and protein expression during efferocytosis of BMDMs among the WT monoculture group, the WT and apoptotic neutrophils co-culture group, the SR-A CKO mono-culture group, and the SR-A CKO and neutrophils co-culture group (F = 9.41 and 40.68, both P values < 0.05). In addition, there was a significant difference in the relative Axl mRNA expression during efferocytosis of BMDMs among the four groups (F = 13.62, P < 0.05); however, no significant difference was seen in the relative Axl protein expression (F = 1.27, P > 0.05). Conclusions Efferocytosis of liver macrophages is seen in mice infected with S. japonicum and inhibits liver fibrosis. SR-A may up-regulate the efficiency of macrophage efferocytosis through regulating the expression of efferocytosis receptors.

ObjectiveTo explore the application value of probe-based confocal laser endomicroscopy (pCLE) in rapidly detecting and evaluating the morphological characteristics of digestive tract tissues in mice. MethodsTwelve male SPF Kunming mice aged 6 weeks were randomly divided into two groups. Six mice were subjected to gastric gavage with 52% Red Star Erguotou to establish the model, and six were given saline by gastric gavage as a control. After 28 days of modeling, 3 mice were randomly selected from each group. After deep anesthesia induced by inhalation of 3% isoflurane, the mice were sacrificed by cervical dislocation. The stomach, duodenum, jejunum, and rectum tissues were excised and immersed in 1% fluorescein sodium solution for staining. The microstructure of the mucosal surface of each tissue was observed using pCLE. The remaining mice in the model group and the control group were deeply anesthetized by inhaling 3% isoflurane, then cardiac perfusion was performed successively with saline and 4% paraformaldehyde. The stomach, duodenum, jejunum, and rectum tissues were excised for dehydration, section and hematoxylin-eosin (HE) staining, and the morphological changes of the tissues were observed under a microscope. ResultsUnder pCLE imaging, fluorescence staining on the surface of the gastrointestinal mucosa was uniform in the control group; the morphology of gastric pits, intestinal villi, and intestinal crypts was intact, arranged compactly, and had distinct boundaries. In the model group, the gastrointestinal mucosa exhibited mucosal swelling and deformation, with uneven fluorescence staining and fluorescein leakage. Furthermore, some tissues showed defects or cell shedding, and the boundaries between adjacent characteristic structures (e.g., gastric pits, intestinal crypts) were blurred. HE staining showed that the gastrointestinal tissue structure of the control group mice was normal and well-organized, with no structural defects. Moreover, submucosal glands were uniform in size, with no hyperplasia observed, and no obvious inflammatory cell infiltration. In the model group, some gastrointestinal mucosal structures were defective and sparsely arranged; submucosal glands showed atrophy, accompanied by obvious inflammatory cell infiltration. The histological characteristics detected by pCLE were consistent with those of HE staining. ConclusionpCLE can be used to obtain rapid, real-time, large-scale, and high-resolution microscopic imaging of the gastrointestinal mucosa, realistically and comprehensively displaying its physiological and microstructural characteristics. It shows promising prospects and practical utility in the histological evaluation of digestive system injuries in small animals.

Purpose/Significance To summarize the application progress of artificial intelligence (AI) in the field of digestive endoscopy, to analyze the key challenges and look forward to future trends, so as to provide guidance for clinical practice and research. Method/Process Domestic and international literature databases such as PubMed, Web of Science, and CNKI are retrieved. The application research of AI in the auxiliary diagnosis, process optimization and treatment precision of digestive endoscopy is sorted out. Result/Conclusion Although AI has significant clinical value in the field of digestive endoscopy, its application still faces major challenges, and its prospects and limitations need to be further discussed.

OBJECTIVE: The relationship between fish consumption and stroke is inconsistent, and it is uncertain whether this association varies across predicted stroke risks. METHODS: A cohort study comprising 95,800 participants from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China project was conducted. A standardized questionnaire was used to collect data on fish consumption. Participants were stratified into low- and moderate-to-high-risk categories based on their 10-year stroke risk prediction scores. Hazard ratios ( HRs) and 95% confidence intervals ( CIs) were estimated using Cox proportional hazard models and additive interaction by relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (SI). RESULTS: During 703,869 person-years of follow-up, 2,773 incident stroke events were identified. Higher fish consumption was associated with a lower risk of stroke, particularly among moderate-to-high-risk individuals ( HR = 0.53, 95% CI: 0.47-0.60) than among low-risk individuals ( HR = 0.64, 95% CI: 0.49-0.85). A significant additive interaction between fish consumption and predicted stroke risk was observed (RERI = 4.08, 95% CI: 2.80-5.36; SI = 1.64, 95% CI: 1.42-1.89; AP = 0.36, 95% CI: 0.28-0.43). CONCLUSION Higher fish consumption was associated with a lower risk of stroke, and this beneficial association was more pronounced in individuals with moderate-to-high stroke risk.
Humans ; China/epidemiology* ; Male ; Female ; Stroke/etiology* ; Middle Aged ; Prospective Studies ; Incidence ; Aged ; Animals ; Fishes ; Risk Factors ; Diet ; Seafood ; Adult ; Cohort Studies

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Non-functioning pituitary adenomas(NFPAs)are relatively common.Apart from hyperprolactinemia caused by pituitary compression,they typically lack overt hormonal hypersecretion and usually present with clinical symptoms due to mass effects.Previously considered a uniform entity,NFPAs are actually a highly heterogeneous group of tumors,including aggressive subtypes like silent corticotroph adenomas(SCA)and null cell adenomas.The 2022 WHO new classification of pituitary tumors employs transcription factors[e.g.,pituitary-specific transcription factor 1(PIT-1),T-box transcription factor 19(TBX19,also known as TPIT),steroidogenic factor 1(SF-1)]for detailed categorization,allowing precise subclassification of NFPAs into multiple subtypes derived from distinct cell lineages,including silent gonadotroph adenomas,SCA,and plurihormonal PIT-1-positive adenomas.This helps identify highly invasive subtypes with high recurrence risk,guiding clinical diagnosis and treatment,prognostic assessment,and individualized management.The new classification also provides a theoretical basis for targeted therapies of NFPAs(e.g.,somatostatin analogs and temozolomide).This review comprehensively discusses the latest pathological classification of NFPAs and its clinical implications,aiming to enhance understanding of this disease and offer valuable insights for precise diagnosis,treatment,and prognostic assessment.

Objective To analyze the publication condition and development trends of global post-stroke fatigue(PSF)research from 2004 to 2024.Methods Relevant literature on PSF pub-lished between January 1,2004,and August 1,2024,were systematically searched and screened from WoSCC database.Visual analysis of publication volume,contributing countries,institutions,authors,and keywords in PSF research was conducted using CiteSpace software.Results A total of 373 articles were included in this study.The overall publication volume related to PSF exhibited an upward trend.The country,institution,and author with the highest number of publications were the United Kingdom,the University of Oslo,and LERDAL A,respectively.High-frequency keywords in-cluded quality of life,depression,fatigue severity scale,follow up,epidemiology,symptoms,associ-ations,and rehabilitation,while the emerging keywords were health care professionals,risk factors,and participation.Conclusion PSF-related research has demonstrated an overall upward trend.As-sessment and measurement protocols,rehabilitation treatment approaches,impacts on quality of life,and the intrinsic relationship with depression have emerged as research hotspots.Further exploration of precise and systematic assessment methods,along with the construction of scientific rehabilitation management programs and risk prediction models,will become the focal points of future research.

Objective To understand the current status of stigma among lung cancer patients in Yunnan and analyze its influencing factors.Methods A convenience sampling method was employed to select 248 lung cancer patients from a tertiary cancer hospital in Yunnan from July 2022 to July 2023.A demographic questionnaire and the Chinese version of the Lung Cancer Patient Stigma Scale were used to investigate their demographic characteristics and stigma levels.Results The total score of stigma in lung cancer patients was(96.92±14.87).Multiple linear regression analysis showed that education level,long-term residence,ethnicity and family relationship were the influencing factors of stigma score in lung cancer patients(P<0.05).Conclusion The stigma level among lung cancer patients is relatively high.Patients with higher education levels,those living in rural areas for a long time,ethnic minorities,and those with better family relationships exhibited higher stigma levels.Enhancing the accessibility of medical resources,establishing a comprehensive social support system,and paying attention to and respecting the cultural differences and beliefs of lung cancer patients can provide them with greater understanding,support,and encouragement,thereby reducing the stigma levels.

[Objective]To construct a prediction model for brucellosis by using a deep neural network algorithm to improve the early detection.[Methods]We collected the clinical data of 202 brucellosis patients and 319 non-brucellosis patients admitted to Hohhot Occupational Disease Prevention and Treatment Hospital in 2023,and analyzed data such as gender,age,blood routine indices and clinical diagnosis.A prediction model for brucellosis was constructed by using a deep neural network algorithm and optimized through 10-fold cross-validation.Performance metrics included sensitivity,false negative rate,specificity,false positive rate,accuracy,positive predictive value,negative predictive value,F1 score,and area under the receiver operating characteristic curve(AUC).The optimal model was interpreted by using SHapley Additive exPlanations(SHAP)to clarify decision-making logic and feature influencing mechanisms.[Results]Data visualization analysis revealed no significant difference between brucellosis and non-brucellosis groups.The optimal model demonstrated good performance:sensitivity(85.3%),specificity(92.1%),accuracy(89.5%),AUC(96.6%),95%CI(0.937,0.977).SHAP analysis identified age,platelet count,mean platelet volume,basophil ratio,red blood cell distribution width,and absolute basophil count as significant predictors of brucellosis.[Conclusions]The deep neural network prediction model constructed in this study has good performance and can provide reliable support for the early diagnosis,prevention and control of brucellosis.Identification of key brucellosis-related influencing features will help further understand the pathogenesis of the disease,and this model holds promise for broad clinical application in the future.