Background Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern, particularly among workers exposed to adverse ergonomic conditions. Manganese production involves heavy physical demands, yet research on WMSDs among manganese workers remains limited. Objective To investigate the prevalence and influencing factors of WMSDs among manganese workers in a manganese enterprise in Guangxi. Methods A cross-sectional survey was conducted from May to June 2024 on workers at a manganese factory in Guangxi. The Chinese Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, distribution of musculoskeletal symptoms, and work-related exposures. χ² test was applied to compare differences in positive WMSDs rates across groups, and logistic regression analysis was performed to identify associated factors. Results A total of 1476 workers were enrolled in the study after pre-determined inclusion and exclusion criteria. The overall prevalence of WMSDs was 34.15%. The most commonly affected body regions were the lower back (17.28%), neck (16.67%), and shoulders (13.82%). The results of logistic regression analysis indicated that female, older age, and education level of college or above were associated with a higher risk of WMSDs (P<0.05). Awkward working postures were significantly associated with WMSDs in corresponding body regions; in particular, awkward postures of the neck, upper limbs, trunk, and lower limbs were related to an increased risk of WMSDs in multiple body sites (P<0.05). In addition, poor lighting conditions, high workplace temperature, frequent or sustained arm support during work, and high job demands were associated with an increased risk of overall or site-specific WMSDs (P<0.05). Conclusion The high prevalence of WMSDs among manganese workers is closely associated with demographic characteristics, working postures, and work environment and organizational factors. Targeted ergonomic interventions focusing on high-risk body regions and key ergonomic exposures are warranted to reduce the risk of WMSDs among manganese workers.

A unified consensus statement on medication-related osteonecrosis of the jaw (MRONJ) has not yet been established among the Asian member countries or regions of the Asian Federation of Osteoporosis Societies (AFOS). This study aimed to develop a consensus on MRONJ in patients with osteoporosis across these countries and regions. In this study, the term “Asia-Pacific” refers specifically to the Asian member countries and regions of AFOS. A structured survey consisting of nine MRONJ-related questions was distributed across 10 countries and regions to assess the level of agreement and summarize regional perspectives. In addition, a manual literature review and voting were conducted to evaluate the current evidence on MRONJ. The key aspects of MRONJ, including definition, staging, diagnosis, pathogenesis, risk factors, management, and prevention, were generally consistent among the AFOS countries and regions. The annual incidence and incidence rate of MRONJ associated with low-dose antiresorptive therapy in patients with osteoporosis ranged from 0.025% to 0.136% and 21 to 283 cases per 100,000 person-years, respectively. However, evidence regarding the benefits of drug discontinuation before dental surgery, such as tooth extraction, remains insufficient. Large-scale, multinational studies across AFOS countries and regions are warranted to determine the incidence of MRONJ better and evaluate the impact of antiresorptive drug discontinuation before dental procedures. These findings may contribute to the devel opment of effective evidence-based strategies for preventing MRONJ in patients with osteoporosis.

BACKGROUND/OBJECTIVES: Deoxyshikonin (DSK) has been reported to inhibit tumor growth in various types of cancers, but its roles and action mechanisms in breast cancer (BC) are unclear. This study examined the anti-cancer function and mechanism of DSK in BC.MATERIALS/METHODS: MDA-MB-231 and BT549, human BC cells, were used. The cell viability and apoptosis levels were examined using Cell Counting Kit-8 experiments and flow cytometry, respectively. The expression of apoptosis-related factors (Ki-67, Bax, and Bcl-2), CD206, CD168, and proteins involved in the phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT)uclear factor (NF)-κB pathway was evaluated by Western blot analysis. The cell invasion ability was determined using the Transwell experiment. The levels of interleukin (IL)-10 and transforming growth factor (TGF)-β were detected using an enzyme-linked immunosorbent assay. The in vivo functions of DSK were assessed using a xenograft mouse model. RESULTS: DSK inhibited cell proliferation, enhanced cell apoptosis, and reduced the cell invasion of MDA-MB-231 and BT549 cells. DSK also reduced the levels of CD206 and CD168 proteins, as well as IL-10 and TGF-β in phorbol 12-myristate 13-acetate-induced THP-1 cells.DSK downregulated the expression of the phosphorylated (p)-PI3K, p-AKT, and p-NF-κB proteins in cells. These effects were reversed by 740 Y-P (PI3K/AKT activator). In addition, DSK significantly reduced the tumor volume and weight in a xenograft mouse model. DSK increased the level of cell apoptosis and decreased the expression of Ki-67 and CD206 in subcutaneous tumor tissue. DSK also inactivated the PI3K/AKT/NF-κB pathway proteins. CONCLUSION DSK inhibits the proliferation, invasion, and tumor immune microenvironment of BC cells by inactivating the PI3K/AKT/NF-κB pathway, indicating that DSK may be a potential therapeutic option for BC treatment.

Background: and Purpose Bilirubin has potent antioxidant, anti-inflammatory, and neuroprotective effects. Herein, we investigated whether total bilirubin (TBIL) modifies the association between hypertension and cerebral small vessel disease (CSVD). Methods: Data were obtained from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study. TBIL and direct bilirubin (DBIL) levels were assayed using fasting venous blood samples. Indirect bilirubin (IBIL) was calculated by subtracting DBIL from TBIL. TBIL was stratified as ≤17 μmol/L and >17 μmol/L based on the biological relevance of Gilbert’s syndrome. Hypertension was defined as blood pressure ≥140/90 mm Hg, self-reported hypertension history, or current use of antihypertensive agents. White matter hyperintensity, lacunes, cerebral microbleeds, and enlarged perivascular spaces were evaluated using magnetic resonance imaging and used to rate CSVD burden according to the criteria proposed by Wardlaw et al. and Rothwell et al. Results: This study included 3,061 participants, with a mean age of 61.2±6.7 years and 46.5% males. After adjusting for confounders, hypertension was associated with increased odds of presence of CSVD (Wardlaw: odds ratio [OR]=1.86, 95% confidence interval [CI] 1.41–2.44, P<0.001; Rothwell: OR=1.84, 95% CI 1.43–2.38, P<0.001) and higher modified total CSVD burden (common OR: 1.85, 95% CI 1.45–2.36, P<0.001) in participants with TBIL ≤17 μmol/L but not in TBIL >17 μmol/L (P for interaction <0.05). Johnson–Neyman analyses showed cut-off concentrations of 22.3–22.4 μmol/L for effect modification by TBIL. IBIL contributed to effect modification, whereas DBIL did not. Conclusions Mildly elevated TBIL may modify the association between hypertension and CSVD.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

Objective:To investigate the role and mechanism of negative pressure wound therapy (NPWT) in a rabbit full-thickness wound model using non-targeted metabolomics.Methods:Eighteen male New Zealand rabbits (11-12 weeks old) were used. Two symmetrical circular full-thickness skin defects were created on the back of each rabbit. The animals were randomly divided into three groups: Control group (no treatment), Saline group (debridement with saline irrigation), and NPWT+ Saline group (saline debridement followed by 2 h of NPWT at -125 mm Hg once daily for two weeks). Wound healing was documented on days 0, 3, 7, 10, and 14. The wound healing rate was calculated as (original area-unhealed area)/original area × 100%. Histopathological changes were evaluated via hematoxylin and eosin (HE) staining. Metabolomic profiling of wound tissues was performed using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). Differential metabolites were identified, and pathway enrichment analysis was conducted. Oxidative stress markers, including superoxide dismutase (SOD) and catalase (CAT) activities and malondialdehyde (MDA) content, were measured using commercial kits. Data were analyzed using SPSS 20.0. One-way ANOVA with Tukey’s HSD test or Welch’s ANOVA with Games-Howell test was applied as appropriate.Results:On days 3, 10, and 14, the wound healing rate in the NPWT+ Saline group was significantly higher than that in the Control and Saline groups ( P<0.05). On day 7, the NPWT+ Saline group showed a significantly higher healing rate than the Saline group ( P<0.01), but no significant difference compared with the Control group ( P>0.05). HE staining on day 7 revealed enhanced epithelialization, thicker granulation tissue, higher microvessel density, and more abundant, well-organized collagen in the NPWT+ Saline group. By day 14, all groups had formed relatively continuous epithelial structures. Non-targeted metabolomics identified riboflavin and spermidine as differential metabolites. Pathway analysis highlighted riboflavin metabolism and glutathione metabolism as the most significantly enriched pathways. Compared with the Control and Saline groups, the NPWT+ Saline group exhibited significantly increased CAT and SOD activities ( P<0.05) and decreased MDA content ( P<0.01), indicating reduced oxidative stress. Conclusion:NPWT may promote wound healing by elevating riboflavin and spermidine levels, thereby modulating riboflavin and glutathione metabolism and regulating local redox reactions.

Objective To explore the deeper understanding of the pregnancy and delivery experience of three-child pregnant and matemal women,and to provide a basis for healthcare personnel to provide more systematic,safe,and targeted perinatal healthcare services and care measures for three-child pregnant and matemal women.Methods Purposive sampling method was used to select 17 cases of three-child pregnant and matemal women who were admitted and delivered in a tertiary level-A matemal and child healthcare hospital in Nanjing from August 2022 to June 2023 for semi-structured interviews,and Colaizzi 7-step process of analyzing,summarizing,and refining the themes was used.Results A total of 4 themes were extracted,including determination of willingness to become pregnant,perceived risks of childbirth,perceived benefits to themselves and their families,diversified support needs.Conclusion The establishment of pregnancy intention of three-child pregnant women is affected by many factors.Relevant departments should actively implement the supporting measures of the three-child birth policy;healthcare workers should strengthen perinatal healthcare services for three-child mothers to reduce the risk of giving birth,actively strengthen their sense of benefits related to pregnancy,and establish a whole process of support system to promote the health of mothers and infants.

Objective:The influencing factors of intraoperative hypoxemia in patients with benign central airway stenosis were investigated by machine learning algorithm, and the prediction model of hypoxemia was constructed and verified.Methods:A case-control study was used in this study. The clinical data of 650 patients with benign central airway stenosis who who received surgical treatment in the First Affiliated Hospital of PLA Naval Medical University from June 2022 to April 2024 were retrospectively analyzed. And they were divided into a training set ( n=455) and a test set ( n=195) according to 7:3. The training set was used for establishing Logistic regression model and conducting internal verification, and the test set was used for external verification. The least absolute shrinkage and selection operator (LASSO) regression and Boruta algorithm were used to select the factors affecting intraoperative hypoxemia in patients with benign central airway stenosis. A Logistic regression prediction model was constructed, and the model was evaluated using area under the receiver operating characteristic curve (AUC), decision curve analysis (DCA) and calibration curve. Shapley additive interpretation (SHAP) were used to analyze the importance of influencing factors. Results:Among 650 patients, 279 were males and 371 were females, aged (37.86 ± 8.82) years. Nine feature variables were screened by LASSO regression, while 7 feature variables were screened by Boruta algorithm, the intersection of the two was operation time, complications, degree of airway stenosis, thermal ablation therapy, balloon dilation, and airway stent, respectively, based on this, a logistic regression prediction model was constructed.The AUC values of the training set, validation set and test set of the model were 0.928 (95% CI 0.903-0.954), 0.922 (95% CI 0.843-0.995) and 0.919 (95% CI 0.872-0.965), respectively. The calibration curve showed that the predicted results of the model were in good agreement with the actual results, and the DCA curve showed that the model had clinical application value. SHAP analysis showed that the importance of variables affecting intraoperative hypoxemia in benign central airway stenosis patients was ranked as operation time, thermal ablation therapy, degree of airway stenosis, comorbidification, balloon dilation, and airway stent. Conclusions:The Logistic regression prediction model of intraoperative hypoxemia built based on machine learning algorithm has good prediction efficiency, which is helpful to early identification of risk groups and prevention of hypoxemia.

Objective To explore the effect of a shared care applied to pregnancy care among pregnant women with hypertensive disorder of pregnancy(HDP).Methods A total of 88 pregnant women with HDP who received ob-stetric check-ups in a tertiary A-level matemity hospital in Nanjing City from January to October 2023 were conve-niently selected as the research subjects.According to the order of obstetric examinations,44 pregnant women with HDP from June to October 2023 were selected as an experimental group,and 44 pregnant women with HDP from January to May 2023 were selected as a control group.The experimental group received the shared care clinic management model,and the control group received the routine management.The scores of the rate of blood pres-sure attainment,the incidence of disease progression,the questionnaire on knowledge of HDP,the Hypertension Self-Management Scale,the Pregnancy-Related Anxiety Scale,and the Patient Satisfaction Questionnaire were compared between the 2 groups.Results 41 patients in the experimental group and 39 patients in the control group com-pleted the study.After the intervention,the blood pressure compliance rate of pregnant women with HDP in the experimental group was 95.12％,higher than 79.49％in the control group.The incidence of disease progression was 7.32％,lower than 25.64％in the control group.HDP Knowledge Questionnaire score(25.24±4.07),Hypertension Self-Management Scale score(114.39±14.89),and Patient Satisfaction Questionnaire score(19.56±1.14)were higher than that of the control group.The score of Pregnancy-Related Anxiety Scale was(18.02±2.15),lower than(23.18±9.58)in the control group.The score of Patient Satisfaction Questionnaire was(19.56±1.14),higher than that(17.26±2.25)in the control group.The differences were statistically significant(P＜0.001).Conclusion The shared care clinic model can improve HDP pregnant women's blood pressure control compliance,HDP knowledge,and self-management,reduce the incidence of disease progression,pregnancy-related anxiety,and improve satisfaction,which provides a reference for optimising the HDP management model.

OBJECTIVE: Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity. METHODS: To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes. RESULTS: We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1. CONCLUSION We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Circadian Rhythm/genetics* ; Prognosis ; Male ; Female ; Biomarkers, Tumor/genetics* ; Middle Aged ; Machine Learning ; Computational Biology