Identifying Subgroups of Suicidality Among Adolescents and Influencing Factors Using Latent Class Analysis.

OBJECTIVE: We aimed to classify subgroups of suicidality among adolescents and identify the influencing factors of the classification of these latent classes. METHODS: Suicidal thought, plans, and attempts as well as the feelings of sadness/hopelessness and loneliness were utilized as indicators to derive the suicidality classes. Additionally, health behaviors, such as dietary habits, physical activity, experiences of violence victimization, sexual activity, and deviant behavior, along with demographic factors, such as sex, school year, grades, and household income, were considered as influencing factors. The analysis utilized data from the 18th Youth Health Behavior Survey (2022) conducted by the Korea Disease Control and Prevention Agency, involving 51,850 middle and high school students. RESULTS: The findings revealed three latent classes of suicidality among adolescents: "active suicidality," "passive suicidality," and "non-suicidality." The influencing factor analysis indicated that all factors, with the exception of high-intensity physical activities, significantly influenced the classification of latent classes of suicidality. Notably, walking exercise and the frequency of exercise during physical education class were found to be factors that differentiated between active and passive suicidality within the suicidality classes. CONCLUSION: This study employed nationwide data to identify the exhibited suicidality classes among adolescents and tested the influencing factors necessary for predicting such classes. The study's findings offer valuable insights for policy development in suicide prevention and suggest the need for developing customized interventions tailored to each identified class.

Epigenome-wide Association Study for Tic Disorders in Children: A Preliminary Study in Korean Population.

Objective: : Tic disorders can affect the quality of life in both childhood and adolescence. Many factors are involved in the etiology of tic disorders, and the genetic and epigenetic factors of tic disorders are considered complex and heterogeneous. Methods: : In this study, the differentially methylated regions (DMRs) between normal controls (n = 24; aged 6-15; 7 females) and patients with tic disorders (n = 16; aged 6-15; 5 females) were analyzed. We performed an epigenome-wide association study of tic disorders in Korean children. The tics were assessed using Yale Global Tic Severity Scale. The DNA methylation data consisted of 726,945 cytosine phosphate guanine (CpG) sites, assessed using the Illumina Infinium MethylationEPIC (850k) BeadChip. The DNA methylation data of the 40 participants were retrieved, and DMRs between the four groups based on sex and tic disorder were identified. From 28 male and 16 female samples, 37 and 38 DMRs were identified, respectively. We analyzed the enriched terms and visualized the network, heatmap, and upset plot. Results: : In male, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed hypomethylated patterns in the ligand, receptor, and second signal transductors of the PI3K-Akt and MAPK signaling pathway (most cells were indicated as green color), and in female, the opposite patterns were revealed (most cells were indicated as red color). Five mental disorder-related enriched terms were identified in the network analysis. Conclusion: : Here, we provide insights into the epigenetic mechanisms of tic disorders. Abnormal DNA methylation patterns are associated with mental disorder-related symptoms.

Circadian Rhythms and Depression in Adolescents: A Comparative Analysis of First Episode and Recurrent-Episode Groups.

Circadian rhythm disruptions are a hallmark feature of mood disorders. Patients experiencing acute depressive episodes report noticeable changes in their sleep-wake cycles. This research explains the association between depression and various circadian rhythm metrics, explicitly focusing on adolescents diagnosed with depressive disorders. Adolescence is a critical period marked by significant physiological and psychological changes, making it imperative to understand how mood disorders manifest during this phase. However, there have been minimal specific studies in pediatric populations to determine whether circadian rhythm changes differ between adolescents with first and multiple-recurrent depressive episodes. Our study involved a group of 61 adolescents aged between 13 and 18. We performed a cross-sectional study of a clinical population of patients presenting to a child and adolescent psychiatry clinic diagnosed with depression. Participants were asked to complete self-report evaluations using several tools: the Korean version of the Biological Rhythms Interview of Assessment in Neuropsychiatry (K-BRIAN), the Korean Translation of Composite Scale to Measure Morningness-Eveningness (KtCS), and the Seasonal Pattern Assessment Questionnaire (SPAQ). Tools such as the Children's Depression Inventory (CDI), State-Trait Anxiety Inventory (STAI), and K-Mood Disorder Questionnaire (K-MDQ) were employed for the assessment of clinical characteristics of depression. Based on the frequency of their depressive episodes, participants were bifurcated into two distinct groups: those experiencing their first episode (n = 22, mean age: 15.09 ± 1.44 years) and those with recurrent episodes (n = 39, mean age: 15.95 ± 1.26 years). At first, the two groups' data revealed no significant differences regarding mood or circadian rhythm metrics (CDI: first episode 26.18 ± 10.54 and recurrent episode 25.90 ± 10.59, STAI-S: first episode 56.91 ± 12.12 and recurrent episode 57.49 ± 11.93, STAI-T: first episode 60.36 ± 11.63 and recurrent episode 59.09 ± 12.10, SPAQ-total: first episode 6.59 ± 4.86 and recurrent episode 6.77 ± 5.23, KtCS: first episode 30.32 ± 5.83 and recurrent episode 28.13 ± 7.36). However, we observed significant correlations between circadian rhythm disruptions and depression scales (CDI with SPAQ-weight (r = 0.26), KtCS (r = -0.48), K-BRIAN-sleep (r = 0.58), K-BRIAN-activity (r = 0.64), K-BRIAN-social (r = 0.71), and K-BRIAN-eating (r = 0.40)). These correlations were especially pronounced in the recurrent episode group, suggesting that with the progression and chronicity of depression, the relationship between circadian rhythms and depression becomes more intertwined and evident. In conclusion, especially in adolescents, as the severity and chronicity of depression increase, the interplay between circadian rhythms and mood disorders becomes more pronounced, warranting further research and clinical attention.

Cytokine levels reflect tic symptoms more prominently during mild phases.

Tic disorder is a neuropsychiatric condition that affects 3% of all children and can have a significant impact on their quality of life. Cytokines, interferons, interleukins, lymphokines, and tumor necrosis factors are involved in the neuroinflammatory circuitry of tic disorders. This study aimed to identify the cytokines involved in the pathogenesis of tic disorders. We enrolled 44 patients with tic disorder and 38 healthy controls. Patients were free of psychotropic medications for at least 3 weeks. Whole blood samples were analyzed using a Luminex® human cytokine multiplex assay kit. Patients were divided into groups with "mild tics" and "above moderate tics" based on Yale Global Tic Severity Scale (YGTSS) scores for comparison. The final analysis included 35 patients (28 male and 7 female) and 31 controls (20 male and 11 female). In the mild tic group, interleukin (IL)-12 p70 negatively correlated with motor tic scores. Granulocyte-macrophage colony-stimulating factor, IL-4, IL-8, and tumor necrosis factor (TNF)-α were positively correlated to phonic tic scores. IL-12 p40 and TNF-α were positively correlated to total tic scores. IL-12 p70 and IL-17a negatively correlated to impairment scores and total YGTSS scores. Tic disorder patients and healthy controls exhibit different cytokine profiles. Only patients with mild symptoms exhibit significant correlations, suggesting that the correlations between cytokine levels and tic symptoms are more relevant during the mild or remission phases. Our results present the importance of IL-1ß and TNF-α, among others, but the identification of key cytokines are still necessary.

Development of a Korean Version of the Child Mania Rating Scale: Korean Validity and Reliability Study.

OBJECTIVE: Clinical rating scales are essential in psychiatry. The Young Mania Rating Scale is the gold standard for assessing mania. However, increased attention to pediatric bipolar disorder has led to the development of the Child Mania Rating Scale (CMRS), which is a parent-reported rating scale designed to assess mania in children and adolescents. This study aimed to translate the CMRS into Korean and assess the validity and reliability of the Korean version of the CMRS (K-CMRS). METHODS: The original English version of the CMRS has been translated into Korean. We enrolled 33 patients with bipolar disorder and 26 patients with attention-deficit hyperactivity disorder (ADHD). All participants were evaluated using the translated K-CMRS, Mood Disorder Questionnaire (MDQ), and ADHD Rating Scale. RESULTS: The Cronbach's α was 0.907. Correlation analyses between K-CMRS and MDQ scores yielded significant positive correlations (r=0.529, p=0.009). However, the factor analysis was unsuccessful. The total K-CMRS scores of bipolar disorder and ADHD patients were compared. However, the differences were not statistically significant. CONCLUSION: The K-CMRS showed good internal consistency and reliability. The correlation between the K-CMRS and MDQ scores verifies its validity. The K-CMRS was designed to assess and score manic symptoms in children and adolescents but had difficulties in differentiating between bipolar disorder and ADHD. It is a valuable tool for evaluating the presence and severity of manic symptoms in pediatric patients with bipolar disorder.

Functional connectivity and network analysis in adolescents with major depressive disorder showing suicidal behavior.

BACKGROUND: This study aimed to gather a homogeneous sample of adolescent patients to analyze the differences in functional connectivity and brain network parameters between suicidal and non-suicidal major depressive disorder (MDD) patients using a data-driven whole-brain approach. METHODS: Patients recruited at the psychiatry department of Korea University Guro Hospital from November 2014 to March 2020 were diagnosed with MDD, were 13-18 years old, had IQ scores >80, had no family history of psychotic or personality disorders, had no smoking or alcohol consumption history, and were drug-naïve to psychotropic medication. Depressive symptoms were assessed using the Hamilton Depression Rating Scale and the Children's Depression Inventory. Structural and functional MRI scans were conducted and analyzed using the CONN toolbox. RESULTS: Of 74 enrolled patients, 62 were analyzed. Regions of interest (ROIs) showing higher betweenness centrality in non-suicidal patients were the left superior temporal gyrus and left supramarginal gyrus. ROIs showing higher betweenness centrality in suicidal patients were the right hippocampus, left intracalcarine cortex, right inferior temporal gyrus, and the lateral visual network. Suicidal patients also showed different resting state functional connectivity profiles from non-suicidal patients. LIMITATIONS: Small sample size. CONCLUSION: Suicidal patients may overthink and overvalue future risks while having a more negatively biased autobiographical memory. Social cognition and the ability to overcome egocentricity bias seem to weaken. Such features can disrupt cognitive recovery and resilience, leading to more suicidal behaviors. Therefore, increased suicidality is not acquired, but is an innate trait.

Impact of the Coronavirus Disease Pandemic on Mental Health Among School Students in Korea During the COVID-19 Pandemic.

Objectives: The coronavirus disease (COVID-19) pandemic has had various effects on mankind, especially children and adolescents. Because children and adolescents spend a lot of time at school, COVID-19 has had a great impact on school mental health. In this study, we investigated the effect of prolonged COVID-19 on school mental health. Methods: We prepared self-report questionnaires for depression (Children's Depression Inventory, CDI), anxiety (Korean version of the Penn State Worry Questionnaire for Children; Generalized Anxiety Disorder-7, GAD-7), and post-traumatic stress (Primary Care Post-traumatic Stress Disorder, PC-PTSD) for administering to students aged between 7 and 18 years, recruited by a COVID-19 psychological prevention support group in the Gwangmyeong Mental Health Welfare Center for 2 years, in 2020 and 2021. Results: For children aged 7-12 years, there was no significant difference between the years 2020 and 2021 in the assessment of depression, anxiety, and post-traumatic stress. Conversely, for adolescents aged 13-18 years, there was a significant increase in the scale scores (CDI, PC-PTSD, and GAD-7). Conclusion: Prolonged COVID-19 might have had a significant impact on the mental health of adolescents who spent a lot of time at school. When comparing the years 2020 and 2021, middle and high school students were more affected by COVID-19 than elementary school students.

Altered Functional Connectivity of the Nucleus Accumbens and Amygdala in Cyber Addiction: A Resting State Functional Magnetic Resonance Imaging Study.

Objective: Cyber addiction, which is more vulnerable in adolescents, is defined as the excessive use of computers and the Internet that causes serious psychological, social, and physical problems. In this study, we investigated the resting-state functional connectivity (rsFC) in adolescents with cyber addiction. Methods: We collected and analyzed resting-state functional neuroimaging data of 20 patients with cyber addiction, aged 13-18 years, and 27 healthy controls. Based on previous studies, the seed regions included the dorsolateral prefrontal cortex, medial orbitofrontal cortex, lateral orbitofrontal cortex, dorsal anterior cingulate cortex, insula, hippocampus, amygdala, nucleus accumbens, and the ventral tegmental area. Seed-to-voxel analyses were performed to investigate the differences between patients and healthy controls. A correlation analysis between rsFC and cyber addiction severity was also performed. Results: Patients with cyber addiction showed the following characteristics: increased positive rsFC between the left insular-right middle temporal gyrus; increased positive rsFC between the right hippocampus-right precentral gyrus; increased positive rsFC between the right amygdala-right precentral gyrus and right parietal operculum cortex; increased negative rsFC between the left nucleus accumbens-right cerebellum crus II and right cerebellum VI. Conclusion: Adolescents with cyber addiction show altered functional connectivity during the resting state. The findings of this study may help us better understand the neuropathology of cyber addiction in adolescents.

Smartphone Usage and Sleep Quality in Korean Middle School Students During the COVID-19 Pandemic.

OBJECTIVE: This study evaluated the quality of sleep and smartphone addiction in Korean adolescents during the coronavirus disease 19 pandemic and analyzed their effects on perceived quality of life. METHODS: An online survey system provided by the Gwangmyeong City Health Center located in Gyeonggi-do, Korea, was completed by 1,678 local middle school students from April 1 to June 30, 2021. We measured quality of life using the KIDSCREEN-27 health-related quality of life questionnaire, quality of sleep using the Korean version of the Pittsburgh Sleep Quality Index, and smartphone addiction using the Smartphone Addiction Self-Diagnosis Scale. Bed times, wake times, and total sleep hours were also recorded. RESULTS: Sleep quality and quantity were directly associated with smartphone addiction. The results indicated that lower quality of life was associated with lower sleep quality, delayed onset of sleep, shorter total sleep time, and higher smartphone addiction. Female students reported lower quality of life, lower sleep quality, delayed sleep phases, shorter total sleep hours, and higher smartphone addiction scores than did male students. CONCLUSION: Our results suggest that adolescents' quality of life is threatened by poor sleep, which in turn could be due to unhealthy smartphone usage. Girls were more heavily affected by this trend than were boys. Preparations to intervene for further mental health issues that might follow are necessary.

Personalized Diagnosis and Treatment for Neuroimaging in Depressive Disorders.

Depressive disorders are highly heterogeneous in nature. Previous studies have not been useful for the clinical diagnosis and prediction of outcomes of major depressive disorder (MDD) at the individual level, although they provide many meaningful insights. To make inferences beyond group-level analyses, machine learning (ML) techniques can be used for the diagnosis of subtypes of MDD and the prediction of treatment responses. We searched PubMed for relevant studies published until December 2021 that included depressive disorders and applied ML algorithms in neuroimaging fields for depressive disorders. We divided these studies into two sections, namely diagnosis and treatment outcomes, for the application of prediction using ML. Structural and functional magnetic resonance imaging studies using ML algorithms were included. Thirty studies were summarized for the prediction of an MDD diagnosis. In addition, 19 studies on the prediction of treatment outcomes for MDD were reviewed. We summarized and discussed the results of previous studies. For future research results to be useful in clinical practice, ML enabling individual inferences is important. At the same time, there are important challenges to be addressed in the future.

Impact of the COVID-19 Pandemic on Korean Adolescents' Mental Health and Lifestyle Factors.

PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic has caused changes in the daily lives of Korean adolescents and affected their emotional well-being. This study compared lifestyle factors and the mental health status of adolescents before and during the COVID-19 pandemic. METHODS: We conducted a secondary analysis using data from a national cross-sectional cohort (Korean Youth Risk Behavior Web-based Survey, KYRBS) collected in 2019 before the COVID-19 outbreak and in 2020 during the pandemic. This study included 57,303 students from the 2019 KYRBS and 54,948 from the 2020 KYRBS. Lifestyle factors such as dietary habits, physical activity levels, time spent studying, duration of Internet use, and mental health status, including perceived stress, experience of depressive mood, and suicidal ideation and attempts, were included in the analyses. RESULTS: The perceived stress levels, self-reported depressive mood, and suicidal thoughts and attempts were lower in the students surveyed in 2020 during the COVID-19 pandemic than in the students surveyed in 2019 before the COVID-19 outbreak. The time spent studying and sleep duration decreased compared to before the pandemic, and sleep satisfaction increased during the COVID-19 pandemic. DISCUSSION: Our results showed an improvement in mental health status in Korean adolescents during the pandemic, but caution is needed when interpreting these results. Future research is needed to determine the effects of a long-lasting pandemic on mental health and lifestyle factors in adolescents.

Impact of the Coronavirus Disease Pandemic on Mental Health among Local Residents in Korea: a Cross Sectional Study.

BACKGROUND: This study aimed to evaluate traumatic stress and mental health problems associated with the prolonged coronavirus disease pandemic and to determine the differences across different age groups. METHODS: A total of 1,151 individuals who visited Gwangmyeong City Mental Health Welfare Center, South Korea, or accessed the website from September 1 to December 31, 2020, were included in the study. Mental health problems such as traumatic stress (Primary Care Posttraumatic Stress Disorder Screen for the Diagnostic and Statistical Manual of Mental Disorder-5); depression (Patient Health Questionnaire-9 and Children's Depression Inventory); anxiety (Generalized Anxiety Disorder-7 and Penn State Worry Questionnaire for Children); suicide risk (P4 Screener); and demographic information were evaluated. The participants were divided into three groups based on age group: children and adolescents, adults, and the elderly. RESULTS: The results showed that 24.7%, 20.9%, 16.8%, and 20.5% of the participants were at high-risk for traumatic stress, depression, anxiety, and suicide, respectively. The difference in the proportion of high-risk groups by age of all participants was significant for traumatic stress, depression, anxiety, and suicide risk. In particular, the percentage of high-risk groups in all areas was the highest in the adult group. Also, in most areas, the ratio of the high-risk groups for children and adolescent group was the lowest, but the suicide risk-related ratio was not (adolescent group: 20.9%, adult group: 25%, elderly group 9.3%). CONCLUSION: These results suggest that there is a need for continued interest in the mental health of the general population even after the initial period of coronavirus disease. Additionally, this study may be helpful when considering the resilience or risk factors of mental health in a prolonged disaster situation.

Molecular Biomarkers for Pediatric Depressive Disorders: A Narrative Review.

Depressive disorder in childhood and adolescence is a highly prevalent mood disorder that tends to recur throughout life. Untreated mood disorders can adversely impact a patient's quality of life and cause socioeconomic loss. Thus, an accurate diagnosis and appropriate treatment is crucial. However, until now, diagnoses and treatments were conducted according to clinical symptoms. Objective and biological validation is lacking. This may result in a poor outcome for patients with depressive disorder. Research has been conducted to identify the biomarkers that are related to depressive disorder. Cumulative evidence has revealed that certain immunologic biomarkers including brain-derived neurotrophic factor (BDNF) and cytokines, gastrointestinal biomarkers, hormones, oxidative stress, and certain hypothalamus-pituitary axis biomarkers are associated with depressive disorder. This article reviews the biomarkers related to the diagnosis and treatment of pediatric depressive disorders. To date, clinical biomarker tests are not yet available for diagnosis or for the prediction of treatment prognosis. However, cytokines such as Interleukin-2, interferon-gamma, tumor necrosis factor-alpha, and BDNF have shown significant results in previous studies of pediatric depressive disorder. These biomarkers have the potential to be used for diagnosis, prognostic assessment, and group screening for those at high risk.

Prospective study on resting state functional connectivity in adolescents with major depressive disorder after antidepressant treatment.

Recent advances in functional magnetic resonance imaging (fMRI) have resulted in many studies on resting-state functional connectivity (rsFC) in depressed patients. Previous studies have shown alterations between multiple brain areas, such as the prefrontal cortex, anterior cingulate cortex, and basal ganglia, but there are very few prospective studies with a longitudinal design on adolescent depression patients. We therefore investigated the change in positive rsFC in a homogeneous drug-naïve adolescent group after 12 weeks of antidepressant treatment. Functional neuroimaging data were collected and analyzed from 32 patients and 27 healthy controls. Based on previous literature, the amygdala, anterior cingulate cortex (ACC), insula, hippocampus, and dorsolateral prefrontal cortex (DLPFC) were selected as seed regions. Seed-to-voxel analyses were performed between pre- and post-treatment states as well as between the patients and controls at baseline. The positive rsFC between the right DLPFC and the left putamen/right frontal operculum were shown to be higher in patients than in the controls. The positive rsFC between the left DLPFC and left putamen/left lingual gyrus was also higher in the patients than in the controls. The positive rsFC between the right dorsal ACC and the left precentral gyrus had reduced after the 12-week antidepressant treatment. Regions involved in the frontolimbic circuit showed changes in the positive rsFC in the depressed adolescents as compared to in the healthy controls. There were also significant changes in the positive rsFC after 12-weeks of antidepressant treatment. The involved regions were associated with emotional regulation, cognitive functioning, impulse control, and visual processing.

Prospective study on microstructure in medication-naïve adolescents with first-episode major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) is one of the most prevalent mental disorders during adolescence, and early diagnosis and treatment are important. We aimed to characterize the microstructure of the brain in medication-naïve adolescents with first-episode MDD. METHODS: Patients with MDD (N = 31) and healthy controls (N = 27) participated in this study and severity of depressive symptoms, duration of untreated depressive episode, demographic data, and diffuse tensor imaging data were collected. A comparative analysis of patients and healthy controls was performed, and the effect of medication on the brain`s integrity was investigated through comparison before and after 3 months of treatment in the patient group. Tract-based spatial statistics was used for diffusion tensor image analysis. RESULTS: In the patient group, functional anisotropy (FA) values were significantly higher at the genu of the corpus callosum, body of the corpus callosum, and right anterior corona radiata than in healthy controls. After 3 months of treatment, FA values were significantly decreased in the left anterior limb of the internal capsule, left posterior limb of the internal capsule, and left superior longitudinal fasciculus. LIMITATIONS: The sample size is relatively small and 3-month treatment period was relatively short. CONCLUSION: FA values of patients with MDD were increased compared to healthy controls and decreased after treatment. These results suggested that pharmacological treatments in the early stages of MDD might restore the brain`s integrity.

Personalized Medicine Using Neuroimmunological Biomarkers in Depressive Disorders.

Major depressive disorder (MDD) is associated with increased suicidal risk and reduced productivity at work. Neuroimmunology, the study of the immune system and nervous system, provides further insight into the pathogenesis and outcome of MDD. Cytokines are the main modulators of neuroimmunology, and their levels are somewhat entangled in depressive disorders as they affect depressive symptoms and are affected by antidepressant treatment. The use of cytokine-derived medication as a treatment option for MDD is currently a topic of interest. Although not very promising, cytokines are also considered as possible prognostic or diagnostic markers for depression. The machine learning approach is a powerful tool for pattern recognition and has been used in psychiatry for finding useful patterns in data that have translational meaning and can be incorporated in daily clinical practice. This review focuses on the current knowledge of neuroimmunology and depression and the possible use of machine learning to widen our understanding of the topic.

Effects of Psychotropic Drugs on Seizure Threshold during Electroconvulsive Therapy.

OBJECTIVE: To analyze the relationship between seizure threshold (ST) and psychotropic drugs in patients treated with ECT. METHODS: We examined clinical data from 43 patients. ST was titrated at each treatment session. We examined associations between ST and psychotropic drugs using multivariate correlation analyses. Data are presented as initial ST, the difference in ST between the first and 10th sessions (ΔST10th), and the mean difference in ST between the first and last sessions (mean ΔSTlast). RESULTS: Multivariate regression analyses showed associations between initial ST and the total chlorpromazine-equivalent dose of antipsychotics (ß=0.363, p<0.05). The total fluoxetine-equivalent dose of antidepressants was associated with ΔST10th (ß=0.486, p<0.01) and mean ΔSTlast (ß=0.472, p<0.01). CONCLUSION: Our study elucidated possible effects of psychotropic drugs on ST shifts. Larger doses of antipsychotics were associated with higher initial ST, whereas higher doses of antidepressants were associated with stronger shifts in ST.

Is topical vitamin C an effective post-Fraxel laser regimen for asians?

UNLABELLED: The Fraxel laser has been a useful method for skin resurfacing. According to recent reports, vitamin C has beneficial effects for the skin. However, there is a paucity of data about the effect of vitamin C associated with the Fraxel laser. This study aimed to assess the effect of topical vitamin C as a post-Fraxel regimen. The study involved 44 Koreans, who wished to improve their facial skin aesthetics. All the patients were treated by Fraxel laser twice, with a 4-week interval between treatments. Beginning on day 1, the treatment group used a topical vitamin C agent as a post-Fraxel regimen for 12 weeks. The control group was told not to apply any topical agents. At every visit (0, 4, 8, and 12 weeks after the first Fraxel), colorimetric status, stratum corneum hydration, skin surface lipids, skin pH, and transepidermal water loss (TEWL) were measured. The parameters showing significant differences were TEWL and pH. Stratum corneum hydration, skin surface lipids, and colorimetric status showed no statistically significant differences between the two groups. Topical vitamin C application reduces the injury of the skin's surface barrier after Fraxel laser and promotes restoration of skin pH. However, there is a limit with increasing skin lightness or decreasing skin redness. LEVEL OF EVIDENCE II: This journal requires that authors assign a level of evidence to each article.