Unveiling the predictive capacity of inflammatory and platelet markers for central retinal artery occlusion

The Association Between Sleep Disorder and Female Infertility: A Mediation Analysis of Inflammatory and Oxidative Markers

Background: Sleep disorder in women of reproductive age may contribute to infertility development, but there is a lack of substantial evidence linking sleep disorder to inflammation and oxidative stress, and the subsequent risk of infertility. Methods: A total of 2365 women aged 18-45 years from the National Health and Nutrition Examination Survey (NHANES) were included in this analysis. Sleep disorder and infertility were assessed according to NHANES questionnaire data module. Inflammatory and oxidative biomarkers such as high-sensitivity C-reactive protein (hs-CRP), white blood cell (WBC), gamma-glutamyl transpeptidase (GGT), albumin, ferritin, and total bilirubin were derived from the laboratory data module, and systemic immune inflammation index (SII), and system inflammation response index (SIRI) were calculated based on complete blood cell counts. A sophisticated multistage sampling design and weighted multivariable adjusted regression models were employed to conduct comprehensive analysis. Mediation models were applied to explicate the mediating role of biomarkers of inflammation and oxidative stress. Results: Compared to the noninfertility group, the infertile participants had a higher incidence of sleep disorder (34% vs. 25%, p < 0.05). In models with fully adjusted covariates, sleep disorder was positively associated with infertility risk (OR: 1.58; 95%CI: 1.01-2.50, p < 0.05), particularly in subgroups of individuals aged over 30 years old (OR: 1.75; 95%CI: 1.00-3.04, p < 0.05) or with a body mass index (BMI) ≥ 30 kg/m2 (OR:2.05; 95%CI: 1.00-4.22, p < 0.05). In terms of mechanisms, there were significant correlations between inflammatory and oxidative markers and both sleep disorder and infertility. Mediation analysis indicated that hs-CRP, SII, SIRI, GGT, and total bilirubin played a significant mediating role in the relationship between sleep disorder and infertility, accounting for 0.4822%, 6.0515%, 1.2485%, 5.1584%, and 0.4738%, respectively. Conclusions: Sleep disorder is a significant risk factor for infertility, particularly in women aged >30 years or with obesity. Furthermore, the presence of inflammation and oxidative stress status in the body, which also significantly mediate the association between sleep disorder and infertility, can be swiftly and repeatedly identified through blood tests. Sleep, as a modifiable behavioral pattern, can be regarded as a new strategy to cope with infertility.

Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in retinal artery occlusion: a meta-analysis

PURPOSE

The goal of this meta-analysis is to examine the association between Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR) in patients with Retinal Artery Occlusion (RAO). The analysis aims to provide insight into the potential of NLR and PLR as inflammatory biomarkers for RAO.

METHODS

Following PRISMA guidelines, a systematic search in PubMed, Embase, and Scopus identified eight eligible studies. The analysis assessed serum NLR and PLR levels in RAO and non-RAO groups by employing standardized mean differences (SMDs). Sensitivity analyses and publication bias were examined. The diagnostic performance of these markers was evaluated with a quantitative synthesis.

RESULTS

The meta-analysis, involving 1,444 participants, demonstrated significantly elevated NLR (SMD = 0.88, 95% CI: 0.49-1.28, P < 0.001) and PLR (SMD = 0.45, 95% CI: 0.16-0.73, P < 0.001) levels in individuals with RAO. Significant heterogeneity was noted. Sensitivity analysis showed robustness and no significant publication bias was found. Summary results of diagnostic performance revealed promising discriminatory power for NLR and PLR.

CONCLUSIONS

The results support a possible connection between systemic inflammation, as indicated by NLR and PLR, and the occurrence of RAO. Although there was heterogeneity, sensitivity analyses showed the findings to be robust. While immediate diagnostic applications are limited, understanding the role of NLR and PLR in the pathological process of RAO provides valuable insights for developing future predictive models, risk management approaches, and treatment strategies. Further research exploring mechanistic insights and conducting prospective studies is warranted to validate their clinical utility.

KEY MESSAGES

What is known Retinal artery occlusion (RAO) is a serious condition with potential links to systemic inflammation and thrombosis. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are emerging inflammatory markers. What is new This is the first meta-analysis examining the association between NLR, PLR and RAO. Elevated NLR and PLR levels were observed in patients with RAO compared to controls. NLR and PLR show potential as indicators of systemic inflammation in RAO pathogenesis.

Plasmalogens and Octanoylcarnitine Serve as Early Warnings for Central Retinal Artery Occlusion

Central retinal artery occlusion (CRAO) is a kind of ophthalmic emergency which may cause loss of functional visual acuity. However, the limited treatment options emphasize the significance of early disease prevention. Metabolomics has the potential to be a powerful tool for early identification of individuals at risk of CRAO. The aim of the study was to identify potential biomarkers for CRAO through a comprehensive analysis. We employed metabolomics analysis to compare venous blood samples from CRAO patients with cataract patients for the venous difference, as well as arterial and venous blood from CRAO patients for the arteriovenous difference. The analysis of metabolites showed that PC(P-18:0/22:6(4Z,7Z,10Z,13Z,16Z,19Z)), PC(P-18:0/20:4(5Z,8Z,11Z,14Z)) and octanoylcarnitine were strongly correlated with CRAO. We also used univariate logistic regression, random forest (RF), and support vector machine (SVM) to screen clinical parameters of patients and found that HDL-C and ApoA1 showed significant predictive efficacy in CRAO patients. We compared the predictive performance of the clinical parameter model with combined model. The prediction efficiency of the combined model was significantly better with area under the receiver operating characteristic curve (AUROC) of 0.815. Decision curve analysis (DCA) also exhibited a notably higher net benefit rate. These results underscored the potency of these three substances as robust predictors of CRAO occurrence.

Relation between peripheral blood inflammatory indices and severity of central retinal artery occlusion

Background

Central retinal artery occlusion (CRAO) has been identified as an acute emergency resulting in vision loss, with its pathogenesis potentially involving systemic inflammation and abnormal lipid metabolism. Over recent years, it has been established that peripheral blood inflammatory indices, including the neutrophil-to-lymphocyte ratio (NLR), the systemic immunoinflammatory index (SII), and the monocyte-to-high-density lipoprotein ratio (MHR), play significant roles in assessing systemic inflammation and lipid metabolism. However, the role of these indices in assessing the severity of CRAO has rarely been explored. This study aimd to investigate the relationship between these inflammatory indices and the severity of CRAO.

Methods

This was a retrospective clinical study with a total of 49 CRAO patients and 50 age- and sex-matched controls involved. The patients with CRAO were divided into three groups (13 with incomplete CRAO, 16 with subtotal CRAO and 20 with total CRAO). Data were compared across these groups, and additionally, correlation analysis, restricted cubic spline plots, and receiver operating characteristic curve analysis were performed.

Results

The values of NLR, SII and MHR were significantly higher in the CRAO group compared to controls (NLR: 2.49(1.71,3.44) vs 1.60(1.24,1.97), P<0.001; SII: 606.46(410.25,864.35) vs 403.91(332.90,524.31), P=0.001; MHR: 0.33(0.26,0.44) vs 0.25(0.21,0.34), P<0.001). MHR was also significantly higher in total CRAO than in incomplete CRAO and subtotal CRAO (0.41(0.32,0.60) vs 0.29(0.21,0.43), P=0.036; 0.41(0.32,0.60) vs 0.29(0.23,0.38), P=0.017). Significant positive associations were found between MHR, NLR, SII and both the incidence (all P<0.001) and severity (P<0.001, P<0.001, P=0.003, respectively) of CRAO. MHR had a linear relationship with both the occurrence and severity of CRAO (P-overall=0.013, P-non-linear=0.427 and P-overall=0.013, P-non-linear=0.825). Combining MHR and NLR significantly improved diagnostic efficacy for CRAO and total CRAO, with area under the curve of 0.816 and 0.827, respectively, compared to using MHR alone (0.705 and 0.816).

Conclusion

Elevated levels of peripheral blood NLR, SII, and MHR are positively associated with CRAO incidence, highlighting their potential as early predictive markers. The combined NLR and MHR index further enhances diagnostic accuracy and may facilitate timely assessment of CRAO severity by ophthalmologists and internists.

Causal association of type 2 diabetes with central retinal artery occlusion: a Mendelian randomization study

Background

Central retinal artery occlusion (CRAO) is a medical condition characterized by sudden blockage of the central retinal artery, which leads to a significant and often irreversible loss of vision. Observational studies have indicated that diabetes mellitus is a risk factor for CRAO; however, there is no research on the causal relationship between diabetes mellitus, particularly type 2 diabetes, and CRAO. This study aimed to perform Mendelian randomization (MR) analysis to clarify the causal relationship between type 2 diabetes and CRAO.

Methods

Genetic variants associated with type 2 diabetes were selected from two different datasets. A recent genome-wide association study of CRAO conducted using the FinnGen database was used as the outcome data. A two-sample MR was performed to evaluate the causal relationship between type 2 diabetes and CRAO. Inverse variance weighting was the primary method, and MR-Egger, maximum likelihood, and median weighting were used as complementary methods. A multivariate MR (MVMR) analysis was performed to further evaluate the robustness of the results. Cochran's Q test, MR-Egger intercept test, and MR-PRESSO global test were used for the sensitivity analyses.

Results

Genetically predicted type 2 diabetes was causally associated with CRAO(odds ratio [OR] =2.108, 95% confidence interval [CI]: 1.221-3.638, P=7.423×10-3), which was consistent with the results from the validation dataset (OR=1.398, 95%CI: 1.015-1.925, P=0.040). The MVMR analysis suggested that type 2 diabetes may be an independent risk factor for CRAO (adjusted OR=1.696; 95%CI=1.150-2.500; P=7.655×10-3), which was assumed by the validation dataset (adjusted OR=1.356; 95%CI=1.015-1.812; P=0.039).

Conclusion

Our results show that genetically predicted type 2 diabetes may be causally associated with CRAO in European populations. This suggests that preventing and controlling type 2 diabetes may reduce the risk of CRAO.