Journal of Inflammation Research最新文献

Background: Sleep disturbance is an immune-related disease, and the gut-brain axis is an important regulatory pathway. This cross-sectional study was designed to address these associations between complement C4, habitual constipation, and sleep disturbance and presents a reference for prevention and treatment of sleep disturbance.

Methods: Based on the China Hainan Centenarian Cohort Study, Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep disturbance following standard procedure. Complement C4 and habitual constipation were assessed between groups with sleep disturbance and without sleep disturbance by enzyme colorimetry and Intestinal Health Questionnaire, respectively.

Results: A total of 1621 participants were included with the prevalence of sleep disturbance being 30.41%. Complement C4 was significantly lower (24 mg/dL versus 25 mg/dL, P < 0.05) and habitual constipation was significantly higher (19.88% versus 14.27%, P < 0.05) in the group with sleep disturbance than in the group without sleep disturbance. Multiple linear regression models detected a negative association between complement C4 and PSQI (β: -0.030, 95% confidence interval [CI]: -0.052--0.008, P < 0.05) and a positive association between habitual constipation and PSQI (β: 0.610, 95% CI: 0.145-1.074, P < 0.05). In the multiple logistic regression models, complement C4 was negatively associated with sleep disturbance (odds ratio: 0.978, 95% CI: 0.963-0.993, P < 0.05), and habitual constipation was positively associated with sleep disturbance (odds ratio: 1.609, 95% CI: 1.194-2.168, P < 0.05).

Conclusion: The present study provides epidemiological evidence that sleep disturbance is negatively associated with complement C4 and positively associated with habitual constipation in oldest-old and centenarian Chinese adults, which expands the knowledge for the associations between complement C4, habitual constipation, and sleep disturbance in the elderly population and provides new insights and pathways on the treatment of sleep disturbance by regulating immune factors and intestinal function.

Aim: We sought to investigate the impact of CpG oligodeoxynucleotides (CpG-ODN) administration on the lung and gut microbiota in asthmatic mice, specifically focusing on changes in composition, diversity, and abundance, and to elucidate the microbial mechanisms underlying the therapeutic effects of CpG-ODN and identify potential beneficial bacteria indicative of its efficacy.

Methods: HE staining were used to analyze inflammation in lung, colon and small intestine tissues. High-throughput sequencing technology targeting 16S rRNA was employed to analyze the composition, diversity, and correlation of microbiome in the lung, colon and small intestine of control, model and CpG-ODN administration groups.

Results: (1) Histopathologically, both lung and intestinal tissue in asthmatic mice exhibited significant structural damage and inflammatory response, whereas the structure of both lung and intestinal tissue approached normal levels, accompanied by a notable improvement in the inflammatory response after CpG-ODN treatment. (2) In the specific microbiota composition analysis, bacterial dysbiosis observed in the asthmatic mice, accompanied by enrichment of Proteobacteria found to cause lung and intestinal epithelial damage and inflammatory reaction. After CpG-ODN administration, bacterial dysbiosis was improved, and a notable enrichment of beneficial bacteria, indicating a novel microecology. Meanwhile Oscillospira and Clostridium were identified as two biomarkers of the CpG-ODN treatment. (3) Heatmap analysis revealed significant correlations among lung, small intestine, and colon microbiota.

Conclusion: CpG-ODN treatment can ameliorate OVA-induced asthma in mice. One side, preserving the structural integrity of the lung and intestine, safeguarding the mucosal physical barrier, the other side, improving the dysbiosis of lung and gut microbiota in asthmatic mice. Beneficial bacteria and metabolites take up microecological advantages, regulate immune cells and participate in the mucosal immune response to protect the immune barrier. Meanwhile, Oscillospira and Clostridium as biomarkers for CpG-ODN treatment, has reference significance for exploring precise Fecal microbiota transplantation treatment for asthma.

Objective: To investigate the prognostic value of the preoperative lymphocyte-to-monocyte ratio (LMR) for postoperative adverse events in patients with acute type A aortic dissection (ATAAD).

Methods: A retrospective study of the clinical data collected in our hospital between March 2015 and January 2024 was performed on 290 patients diagnosed with ATAAD who underwent surgical treatment and met the inclusion criteria for patient selection. The included patients were divided into a low LMR group (<1.70, 50 cases) and a high LMR group (≥1.70, 51 cases). Clinical data, including white blood cell counts (WBCs), D-dimer (D-D) levels, lymphocyte count (LYM) and platelet count (PLT), were compared between the two groups. Logistic regression analysis assessed the association between the preoperative LMR and postoperative adverse events.

Results: The high LMR group had lower WBCs and NEU than the low LMR group (P < 0.05). The high LMR group also had higher LYM than the low LMR group (P < 0.05). Within 30 days postoperative, the all-cause mortality rate was higher in the low LMR group than in the high LMR group (P = 0.047). Within 1 year postoperative, the incidence of aortic adverse events (AAEs) (P = 0.010), Re-intervention events (P = 0.011) and Cardiovascular and cerebrovascular adverse events (P < 0.001) has no difference between the high LMR group and the low LMR group. Logistic regression analysis indicated that the preoperative LMR was a significant prognostic marker for AAEs within 30 days and 1 year postoperative.

Conclusion: The preoperative LMR is a prognostic indicator of all-cause mortality within 30 days and 1 year postoperative in patients with ATAAD.

Purpose: Psoriasis is a complex inflammatory skin disorder that is closely associated with metabolic syndrome (MetS). Limited information is available on skin metabolic changes in psoriasis; the effect of concurrent MetS on psoriatic skin metabolite levels is unknown. We aimed to expand this information through skin metabolomic analysis.

Patients and methods: Untargeted metabolomics was conducted using skin samples from 38 patients with psoriasis vulgaris with MetS (PVMS), 23 patients with psoriasis vulgaris without MetS (PVNMS), and 10 healthy controls (HC). Data analyses, including multivariate statistical analysis, KEGG pathway enrichment analysis, correlation analysis, and receiver operating characteristic curve analysis, were performed.

Results: Significant discrepancies were found between skin metabolites in the HC and PVNMS groups, particularly those involved in nucleotide and glycerophospholipid metabolism. Fifteen of these metabolites were positively correlated with psoriasis severity. Furthermore, MetS was found to affect the metabolic profiles of patients with psoriasis. There were some metabolites with consistent alterations in both the PVNMS/HC and PVMS/PVNMS comparisons.

Conclusion: This study may provide new insights into the link between skin metabolism and psoriatic inflammation and the mechanism underlying the interaction between psoriasis and MetS.

Background: The monocyte to high-density lipoprotein cholesterol (MHR) and neutrophil to high-density lipoprotein cholesterol ratio (NHR) are novel comprehensive indicators reflecting the body's inflammation and lipid metabolism. Previous studies have found that MHR and NHR are associated with the risk of cardiovascular and cerebrovascular events and death. However, the correlation between MHR, NHR, and the severity of newly diagnosed coronary artery disease (CAD) has not been thoroughly explored.

Methods: In this retrospective study, we enrolled 1489 patients who underwent coronary angiography for the first time between January 2022 and December 2023, of which 1143 were diagnosed with CAD. The severity of CAD was gauged by the Gensini score (GS). The relationship between MHR and NHR with CAD was validated through logistic regression analysis, adjusting for traditional cardiovascular risk factors and medication therapy. The nonlinear relationship between MHR and NHR with CAD and GS was assessed by using restricted cubic spline (RCS) models. Their independent and combined predictive effects on CAD were evaluated through receiver operating characteristic (ROC) curve analysis.

Results: MHR and NHR were independently associated with CAD (both P<0.001). In the fully adjusted model, an increase in MHR was significantly associated with an increased odds ratio (OR) for CAD (OR=4.29, 95% CI 2.72-6.78, P<0.001). Sensitivity analysis revealed a consistent trend (P for trend<0.05). RCS curve analysis indicated a nonlinear relationship between the two biomarkers and GS (P<0.05) and there were clear inflection points. The area under the curve for predicting CAD was 0.68 for MHR and 0.69 for NHR, with optimal cut-off values of 0.42 (Youden index:0.29) and 5.43 (Youden index:0.31) respectively. Combined MHR and NHR has higher predictive value.

Conclusion: MHR and NHR are independently associated with CAD, and there is a nonlinear correlation with the GS. Both have some predictive value for the severity of CAD.

Diabetic periodontitis is a common oral complication of diabetes characterized by progressive destruction of periodontal tissues. Recent evidence suggests that mitochondrial dysfunction plays a crucial role in the pathogenesis and progression of this condition. This review aims to systematically summarize the role and potential mechanisms of mitochondrial dysfunction in diabetic periodontitis. We first explore the relationship between diabetes and mitochondrial dysfunction, then analyze the specific manifestations of mitochondrial dysfunction in diabetic periodontitis, including morphological changes, energy metabolism disorders, increased oxidative stress, and enhanced apoptosis. We further delve into the connections between mitochondrial dysfunction and the pathogenic mechanisms of diabetic periodontitis, such as exacerbated inflammatory responses, decreased tissue repair capacity, and autophagy dysregulation. Finally, we discuss potential therapeutic targets based on mitochondrial function, including antioxidant strategies, mitochondria-targeted drugs, and autophagy regulators. We also propose future research directions, emphasizing the need for in-depth exploration of molecular mechanisms, development of new diagnostic markers and therapeutic strategies, and personalized treatment approaches. This review provides new insights into understanding the pathogenic mechanisms of diabetic periodontitis and offers a theoretical basis for developing targeted prevention and treatment strategies to improve oral health in diabetic patients.

Purpose: Stanford Type B Aortic Dissection (TBAD), a critical aortic disease, has exhibited stable mortality rates over the past decade. However, diagnostic approaches for TBAD during routine health check-ups are currently lacking. This study focused on developing a model to improve the diagnosis in a population.

Patients and methods: Serum biomarkers were investigated in 88 participants using proteomic profiling combined with machine learning. The findings were validated using ELISA in other 80 participants. Subsequently, a diagnostic model for TBAD integrating biomarkers with clinical indicators was developed and assessed using machine learning.

Results: Six differentially expressed proteins (DEPs) were identified through proteomic profiling and machine learning in discovery and derivation cohorts. Five of these (GDF-15, IL6, CD58, LY9, and Siglec-7) were further verified through ELISA validation within the validation cohort. In addition, ten blood-related indicators were selected as clinical indicators. Combining biomarkers and clinical indicators, the machine learning-based models performed well (AUC of the biomarker model = 0.865, AUC of the clinical model = 0.904, and AUC of the combined model = 0.909) using relative quantitation. The performance of the three models was verified (AUC of biomarker model = 0.866, AUC of clinical model = 0.868, and AUC of combined model = 0.886) using absolute quantitation. Crucially, the combined models outperformed individual biomarkers and clinical models, demonstrating superior efficacy.

Conclusion: Using proteomic profiling, we identified serum IL-6, GDF-15, CD58, LY9, and Siglec-7 as TBAD biomarkers. The machine-learning-based diagnostic model exhibited significant potential for TBAD diagnosis using only blood samples within the population.

Aim: The aim of this study was to compare the effects of dexmedetomidine, midazolam, propofol, and intralipid on lidocaine-induced cardiotoxicity and neurotoxicity.

Methods: Forty-eight male Sprague-Dawley rats were randomly divided into six groups (n = 8 per group): control (C), lidocaine (L), lidocaine + dexmedetomidine (LD), lidocaine + midazolam (LM), lidocaine + propofol (LP), and lidocaine + intralipid (LI). Dexmedetomidine (100 µg/kg), midazolam (4 mg/kg), propofol (40 mg/kg), and intralipid (10 mg/kg) were administered intraperitoneally as pretreatment. Lidocaine (90 mg/kg) was administered intraperitoneally to induce oxidative stress in all groups except the control. After 60 minutes of electrocardiography (ECG) recording, the rats were sacrificed, and heart and brain tissue samples were collected. Comparative measurements of total oxidant status (TOS), total antioxidant status (TAS), oxidative stress index (OSI), and inflammatory parameters were conducted.

Results: In heart tissue samples, TAS was significantly higher in LI and LD groups (p < 0.05). Additionally, oxidative stress was significantly higher in the LM group (p < 0.05). Despite an increase in oxidative stress in brain tissue samples across all groups, it was found that all groups exhibited antioxidant protective effects (p < 0.05). Inflammatory parameters in heart and brain tissues significantly decreased in all groups, especially in the LI group (p < 0.05).

Conclusion: It was observed that pretreatment with midazolam increased oxidative stress induced by lidocaine, while dexmedetomidine and intralipid exhibited greater antioxidant effects. Dexmedetomidine and intralipid used as pretreatment were shown to be more effective in protecting against oxidative stress and inflammation.

Objective: This research sought to assess the predictive potential of the inflammation-immunity-nutrition score (IINS) and the high-sensitivity C-reactive protein-albumin-lymphocyte (CALLY) index in individuals with NSCLC post-surgery.

Methods: The study enrolled 506 patients with NSCLC undergoing R0 resection at the First Affiliated Hospital of Xi'an Jiaotong University. The training cohort was analyzed utilizing X-tile software to identify the ideal threshold values for categorizing high-sensitivity C-reactive protein, albumin, lymphocyte count, and the CALLY index. The predictive significance of the IINS and CALLY index was evaluated through Kaplan-Meier survival curves and univariate and multivariate Cox regression analyses. Predictive capabilities of the IINS and CALLY index were compared utilizing receiver operating characteristic (ROC) curve analysis, time-dependent ROC curve analysis, and decision curve analysis (DCA). Internal validation was performed in the validation cohort and all data from both the training and validation cohorts using Kaplan-Meier curves and DCA.

Results: Patients with lower IINS exhibited prolonged overall survival (OS), whereas those with lower CALLY had shorter OS. Multivariate analysis identified N stage, NSE, and IINS as independent prognostic factors for individuals with NSCLC. ROC analysis revealed that IINS provided superior prognostic performance to CALLY and other traditional indicators (CAR, PLR, and NLR). Time-dependent ROC analyses and DCA further confirmed the superior prognostic value of IINS over the CALLY index at 1, 2, and 3 years.

Conclusion: This study reveals that both the IINS and CALLY index are effective in forecasting the prognosis of individuals with NSCLC following surgery, with the IINS demonstrating superior prognostic efficacy to the CALLY index.