Atopic dermatitis (AD) is a heterogeneous disorder with varying phenotypes. Although AD has long been associated with barrier dysfunction, the pathogenesis of this disease is more complex, involving many molecular markers in different functional domains. Biomarkers can be helpful in different ways, including predicting prognosis, measuring treatment response, and gauging disease severity. With the advent of targeted immunomodulators, biomarkers have the potential to take on new significance in terms of selecting appropriate therapies for patients. In this review, we have summarized the key findings related to biomarkers and AD, including the specific subtype differences. Clinicians will use this information to better understand the potential of biomarkers in AD and have a guide because more specific treatments are developed that are tailored toward individual molecular profiles.
Macrophage-like cells (MLCs) are an emerging retinal biomarker. MLCs are increased in retinal vein occlusion (RVO) eyes, but their predictive value is unknown. This study investigated if MLCs can predict meaningful clinical outcomes. This prospective, cross-sectional study involved 46 eyes from 23 patients with unilateral RVO. Patients’ unaffected eyes were used as matched controls. MLCs were quantified to determine MLC density and percent image area. We collected demographic, clinical, ocular, and imaging characteristics at the time of MLC imaging. We additionally recorded best corrected visual acuity (BCVA) and number of intravitreal injections at 6 months and 12 months post-imaging. MLC density and percent area increased by 1.86 (p = 0.0266)- and 1.94 (p = 0.0415)-fold in RVO compared to control eyes. We found no significant correlation between MLC parameters and any baseline characteristic. MLC density was positively correlated with the number of intravitreal injections at 6 months (n = 12, r = 0.62, p = 0.03) and 12 months (n = 9, r = 0.80, p = 0.009) post-imaging. MLC percent area was correlated with LogMAR BCVA change over 12 months (n = 17, r = 0.57, p = 0.02). High MLC counts correlated with more future intravitreal injections and worse visual acuity outcomes, suggesting that MLCs are a biomarker for treatment resistant RVO eyes.
Background: Debate persists regarding which radiographic measurements are important when investigating a possible discoid lateral meniscus and the utility of x-rays in the diagnostic workup. Hypothesis/Purpose: The purpose of this study was to identify differences in various measurements between healthy knees and those with a discoid meniscus while controlling for other patient characteristics. Methods: Radiographs of patients with a confirmed discoid lateral meniscus were matched by age and sex to those with a healthy knee (verified by magnetic resonance imaging). The following parameters were associated with discoid meniscus in previous studies and were measured on x-ray for each subject: lateral joint space height (both in the central and medial portion of the compartment; LJSH-C and LJSH-M, respectively), medial joint space height, fibular head height (FHH), lateral tibial spine height, femoral inter-epicondylar distance, lateral tibial plateau obliquity, and chordal distance of the femoral condyle (medial and lateral). Ratios were calculated between LJSH-C/M and medial joint space height. Univariate analysis was followed by multivariate regression to adjust for confounders. Results: The study included 57 patients with a discoid meniscus and 55 controls with a mean age of 11.0±3.5 years (50% female). The median LJSH-C for subjects with a discoid meniscus was 7.3 mm [interquartile range (IQR) 2.1] compared to 5.8 mm (IQR 2.2) in normal knees (p<0.001). A similar difference was found for LJSH-M [6.9 mm (IQR 2.9) vs. 5.4 mm (IQR 2.4), p=0.002]. Mean FHH was lower for discoid menisci than controls (12.5±4.0 mm vs. 14.9±5.9 mm, p=0.01). No other radiographic measurements were significantly different between cases and controls. When adjusting for covariates in regression analysis, the presence of a discoid meniscus was predictive of a higher LJSH-C and LJSH-M and lower FHH. Of note, age and sex were also significantly predictive in these models. Patients with a discoid meniscus had 3.5 times higher odds of LJSH-C ≥7 mm [95% confidence interval (CI) 1.5-8.3, p=0.005), 3.3 times higher odds of LJSH-M ≥6 mm (95% CI 1.4-7.9, p=0.006), and 3.1 times higher odds of FHH <16 mm (95% CI 1.2-7.8, p=0.02). Conclusion: After controlling for other factors, LJSH-C, LJSCH-M, and FHH on plain radiographs were associated with a discoid lateral meniscus. However, many previously reported measurements were not predictive. While these parameters may aid diagnostic decision making when there is suspicion for a discoid meniscus, age and sex must also be considered. Advanced imaging may be required to confirm the diagnosis.
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