Investigation of oxidative stress in patients with alopecia areata by measuring the levels of malondialdehyde and ceruloplasmin in the blood

Dissecting hair breakage in alopecia areata: the central role of dysregulated cysteine homeostasis

In the initial stages of Alopecia Areata (AA), the predominance of hair breakage or exclamation mark hairs serves as vital indicators of disease activity. These signs are non-invasive and are commonly employed in dermatoscopic examinations. Despite their clinical salience, the underlying etiology precipitating this hair breakage remains largely uncharted territory. Our exhaustive review of the existing literature points to a pivotal role for cysteine-a key amino acid central to hair growth-in these mechanisms. This review will probe and deliberate upon the implications of aberrant cysteine metabolism in the pathogenesis of AA. It will examine the potential intersections of cysteine metabolism with autophagy, ferroptosis, immunity, and psychiatric manifestations associated with AA. Such exploration could illuminate new facets of the disease's pathophysiology, potentially paving the way for innovative therapeutic strategies.

Identification of SLC40A1, LCN2, CREB5, and SLC7A11 as ferroptosis-related biomarkers in alopecia areata through machine learning

Alopecia areata (AA) is a common non-scarring hair loss condition driven by the collapse of immune privilege and oxidative stress. The role of ferroptosis, a type of cell death linked to oxidative stress, in AA is yet to be explored, even though it's implicated in various diseases. Using transcriptome data from AA patients and controls from datasets GSE68801 and GSE80342, we aimed to identify AA diagnostic marker genes linked to ferroptosis. We employed Single-sample gene set enrichment analysis (ssGSEA) for immune cell infiltration evaluation. Correlations between ferroptosis-related differentially expressed genes (FRDEGs) and immune cells/functions were identified using Spearman analysis. Feature selection was done through Support vector machine-recursive feature elimination (SVM-RFE) and LASSO regression models. Validation was performed using the GSE80342 dataset, followed by hierarchical internal validation. We also constructed a nomogram to assess the predictive ability of FRDEGs in AA. Furthermore, the expression and distribution of these molecules were confirmed through immunofluorescence. Four genes, namely SLC40A1, LCN2, CREB5, and SLC7A11, were identified as markers for AA. A prediction model based on these genes showed high accuracy (AUC = 0.9052). Immunofluorescence revealed reduced expression of these molecules in AA patients compared to normal controls (NC), with SLC40A1 and CREB5 showing significant differences. Notably, they were primarily localized to the outer root sheath and in proximity to the sebaceous glands. Our study identified several ferroptosis-related genes associated with AA. These findings, emerging from the integration of immune cell infiltration analysis and machine learning, contribute to the evolving understanding of diagnostic and therapeutic strategies in AA. Importantly, this research lays a solid foundation for subsequent studies exploring the intricate relationship between AA and ferroptosis.

Oxidative stress and alopecia areata

Alopecia areata (AA) is an inflammatory autoimmune disease characterized by non-scarring hair loss on the scalp or any other part of the hair-bearing skin. While the collapse of the immune privilege is considered as one of the most accepted theories accounting for AA, the exact pathogenesis of this disease remains unclear by now. Other factors, such as genetic predisposition, allergies, microbiota, and psychological stress, also play an important role in the occurrence and development of AA. Oxidative stress (OS), an unbalance between the oxidation and antioxidant defense systems, is believed to be associated with AA and may trigger the collapse of hair follicle-immune privilege. In this review, we examine the evidence of oxidative stress in AA patients, as well as the relationship between the pathogenesis of AA and OS. In the future, antioxidants may play a new role as a supplementary therapy for AA.

Alopecia Areata: A Review of the Role of Oxidative Stress, Possible Biomarkers, and Potential Novel Therapeutic Approaches

Alopecia areata (AA) is a dermatological condition characterized by non-scarring hair loss. Exact etiopathogenesis of AA is still unknown although it is known that several factors contribute to the collapse of the hair-follicle (HF)-immune-privileged (IP) site. Oxidative stress (OS) plays an important role in skin diseases. The aim of this review was to clarify the role of OS in AA pathogenesis and diagnosis, and to discuss potential treatment options. Oxidative-stress markers are altered in serum and skin samples of patients with AA, confirming a general pro-oxidative status in patients with AA. OS induces MHC class I chain-related A (MICA) expression in HF keratinocytes that activates the receptor NKG2D, expressed in NK cells and CD8+ T cytotoxic cells leading to destabilization of the HF immune-privileged site through the production of IFN-γ that stimulates JAK1 and JAK2 pathways. OS also activates the KEAP1-NRF2 pathway, an antioxidant system that contributes to skin homeostasis. In addition, a decrease of ATG5 and LC3B in the hair matrix and an increase in p62 levels indicates a reduction of intrafollicular autophagy during the evolution of AA. Potential biomarkers of OS in AA could be: malondialdehyde (MDA), advanced glycation end-products (AGEs), and ischemic-modified albumin (IMA). JAK inhibitors are the new frontier in treatment of AA and the use of nutraceuticals that modulate the OS balance, in combination with standard treatments, represent promising therapeutic tools.

Oxidative stress and antioxidant markers in patients with alopecia areata: A comparative cross-sectional study

Background

Alopecia areata is a chronic inflammatory skin disease. Oxidative stress may contribute to the pathogenesis of this condition.

Aim

To evaluate the serum oxidative stress markers and antioxidant capacity in patients with alopecia areata.

Methods

This cross-sectional study was performed on 40 patients with alopecia areata and 40 healthy controls. The fasting blood sugar, C-reactive protein, lipid profile, and serum oxidative markers, including advanced glycation end products and advanced oxidation protein products, were measured in this study. Also, antioxidant enzymes, including paraoxonase-1, lecithin-cholesterol acyltransferase and serum ferric-reducing antioxidant power, were determined.

Results

The serum levels of advanced glycation end products and advanced oxidation protein products were significantly higher in patients with alopecia areata, compared to the controls (P < 0.001), whereas the levels of ferric-reducing antioxidant power, paraoxonase-1 and lecithin-cholesterol acyltransferase were significantly lower in patients with alopecia areata, compared to the controls (P < 0.001). The mean fasting blood sugar level was significantly higher in patients with alopecia areata, compared to the controls. The ferric reducing antioxidant power level was significantly associated with the percentage of hair loss (P = 0.01, r = 0.4) and the serum C-reactive protein level (P = 0.03, r = -0.3) in patients with alopecia areata.

Limitations

Since the current study had a cross-sectional design, no cause-effect relationship was established between alopecia areata and oxidative stress. The sample size of our study was also small.

Conclusion

Based on the present results, the oxidant-antioxidant enzymatic system is impaired in alopecia areata due to the increased oxidative products and decreased antioxidant activity.

Serum Ceruloplasmin Is the Candidate Predictive Biomarker for Acute Aortic Dissection and Is Related to Thrombosed False Lumen: a Propensity Score-Matched Observational Case-Control Study

Acute aortic dissection (AAD), one of the fatal diseases observed at the department of vascular surgery, is associated with a great mortality rate at the early stage. Ceruloplasmin (CP) is the plasma protein that functions as a copper transporter. The current retrospective research was carried out to assess CP contents and to examine the possible part in diagnosing patients with AAD. In addition, propensity score matching (PSM) was also utilized for reducing the bias in case screening as well as the clinical confounders. Using PSM, this study included 85 pairs of AAD cases (Stanford A and B dissection) and matched controls, and their CP levels were also detected through enzyme-linked immunosorbent assay (ELISA). Additionally, the relative clinical data were extracted from participants included in this study. After PSM adjustment for clinical variables, including gender, age, body mass index (BMI), heart ratio (HR), smoking, hypertension, diabetes mellitus, coronary heart disease (CHD), and stroke, the serum CP contents among AAD cases were remarkably increased compared with those among the normal subjects. Besides, the CP contents showed independent association with the AAD risk. Typically, the CP level was significantly positively correlated with platelet (R = 0.329) or C-reactive protein (R = 0.340) level. Meanwhile, the area under the receiver operating characteristic (ROC) curve (AUC) was 0.929 when CP was used to diagnose AAD, and the best threshold value was 36.82mg/dL. Serum CP content significantly increased in cases with thrombosed false lumen (FL) relative to those in patent FL cases. Results of logistic regression analysis suggested that a greater CP content indicated an increased thrombosed FL risk (OR = 1.11; 95% CI: 1.01-1.23; P = 0.040). Findings in this study suggest that serum ceruloplasmin contents evidently increased among acute aortic dissection cases. CP shows close correlation with the inflammatory factors among AAD cases. Further, CP may serve as the candidate biomarker to diagnose AAD and to identify an increased risk of thrombosed false lumen.

Time-Dependent Risk of Acute Myocardial Infarction in Patients With Alopecia Areata in Korea

Importance

Alopecia areata (AA) is a common autoimmune disease presenting as nonscarring hair loss. Although AA can be associated with other autoimmune comorbidities or atopic diseases, little is known about the risk of cardiovascular diseases in patients with AA.

Objective

To investigate the risk of acute myocardial infarction (AMI) and cardiovascular risk profiles (CVRPs) in patients with AA via a large-scale epidemiologic study.

Design, Setting, and Participants

This was a retrospective cohort study using data from the Korean National Health Insurance claims database, including data from the National Health Screening Program. Patients aged 30 to 89 years who were newly diagnosed with AA between January 1, 2006, and December 31, 2017, and controls without AA matched by age and sex were enrolled. Data were analyzed between July 2018 and August 2019.

Exposures

Presence of AA.

Main Outcomes and Measures

The CVRPs and incidence rates of AMI were assessed in participants with and without AA. The stratified Cox regression hazard model was used to estimate the relative hazards over time.

Results

A total of 228 886 patients with AA, ranging in age from 30 to 89 years (mean [SE] age, 44.37 [0.005] years; 127 564 [55.7%] men) and 4 577 720 matched controls without AA were identified. Patients with AA tended to have slightly better CVRPs than controls in all items except smoking status before and after the diagnosis (participants with normal systolic blood pressure who were nonsmokers: 44.6% vs 42.7% and 57.8% vs 61.6% in patients with AA vs controls before and after the diagnosis, respectively). In the early phase of observation, the cumulative incidence of AMI in patients with AA was lower than that in controls (incidence rate ratio of AMI in patients with AA compared with that in controls, 0.52 [95% CI, 0.42-0.65] between 2-4 years); however, during the later phase of the 12-year follow-up period, it increased exponentially and was greater than in the control group (incidence rate ratio, 2.06 [95% CI, 1.71-2.45] between 8-10 years). Similarly, after adjusting for CVRPs, the risk of developing AMI was lower in patients with AA than in controls at the beginning of the observation period (adjusted hazard ratio (HR), 0.17 [95% CI, 0.12-0.25] between 0-2 years); however, by 8 years postdiagnosis, the risk was higher in those with AA (adjusted HR, 1.37 [95% CI, 1.11-1.70] between 8-10 years), and it increased thereafter (adjusted HR, 4.51 [95% CI, 3.65-5.58] between 10-12 years).

Conclusions and Relevance

In patients with AA, there was a significantly increased risk of AMI over time during the 12-year follow-up period independent of CVRPs. Close long-term monitoring of cardiovascular health in patients with AA might be appropriate.

Malondialdehyde on postoperative day 1 predicts postoperative cognitive dysfunction in elderly patients after hip fracture surgery

Background: Postoperative cognitive dysfunction (POCD) is a great problem for anesthetized subjects and is associated with poor short- and long-term outcomes. We explored promising predictors for POCD in elderly patients after hip fracture surgery.Methods: Elderly subjects (aged ≥65 years) undergoing surgery for hip fracture were consecutively recruited. Neuropsychological assessments were performed 1 day preoperatively (baseline) and 7 days postoperatively, and POCD was defined using the 'Z scores' method. Clinical data and laboratory tests were compared between patients with and without POCD development. Binary univariate and multivariate logistic regression analyses were conducted for risk factor assessment. Receiver operating characteristic (ROC) curve analysis was performed to investigate the predictive value of malondialdehyde (MDA) on postoperative day 1 (POD1) for POCD.Results: A total of 198 patients were finally enrolled in the analysis and 51 patients exhibited POCD within 7 postoperative days, with an incidence rate of 25.8%. MDA expression on POD1 (OR: 1.12, 95%CI: 1.03-1.23, P=0.017) was the only independent risk factor for POCD according to the final multivariate logistic regression analysis. ROC curve analysis indicated that MDA on POD1 was a predictor for POCD, with an area under the curve (AUC) of 0.683 and 95%CI of 0.590-0.775 (P<0.001).Conclusions: In conclusion, we demonstrated that MDA on POD1 was an independent risk factor for POCD in elderly subjects undergoing hip fracture surgery.