Vascular dysfunction in sporadic bvFTD: white matter hyperintensity and peripheral vascular biomarkers.

BACKGROUND: Vascular dysfunction was recently reported to be involved in the pathophysiological process of neurodegenerative diseases, but its role in sporadic behavioral variant frontotemporal dementia (bvFTD) remains unclear. The aim of this study was to systematically explore vascular dysfunction, including changes in white matter hyperintensities (WMHs) and peripheral vascular markers in bvFTD. METHODS: Thirty-two patients with bvFTD who with no vascular risk factors were enrolled in this cross-sectional study and assessed using positron emission tomography/magnetic resonance (PET/MRI) imaging, peripheral plasma vascular/inflammation markers, and neuropsychological examinations. Group differences were tested using Student's t-tests and Mann-Whitney U tests. A partial correlation analysis was implemented to explore the association between peripheral vascular markers, neuroimaging, and clinical measures. RESULTS: WMH was mainly distributed in anterior brain regions. All peripheral vascular factors including matrix metalloproteinases-1 (MMP-1), MMP-3, osteopontin, and pentraxin-3 were increased in the bvFTD group. WMH was associated with the peripheral vascular factor pentraxin-3. The plasma level of MMP-1 was negatively correlated with the gray matter metabolism of the frontal, temporal, insula, and basal ganglia brain regions. The WMHs in the frontal and limbic lobes were associated with plasma inflammation markers, disease severity, executive function, and behavior abnormality. Peripheral vascular markers were associated with the plasma inflammation markers. CONCLUSIONS: WMHs and abnormalities in peripheral vascular markers were found in patients with bvFTD. These were found to be associated with the disease-specific pattern of neurodegeneration, indicating that vascular dysfunction may be involved in the pathogenesis of bvFTD. This warrants further confirmation by postmortem autopsy. Targeting the vascular pathway might be a promising approach for potential therapy.

Correlations of religious beliefs with anxiety and depression of Chinese adolescents.

Objective: This study was designed to investigate the prevalence of religious belief and its relationship with psychiatric symptoms among Chinese adolescents. Methods: This study recruited 11,603 adolescents in Grades 7-9 from March 21 to 31, 2020 in five cities in China. The religious beliefs of adolescents were collected by asking whether they held religious beliefs and what type of religious beliefs they held. The Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 Scale (GAD-7) were used to assess depressive and anxiety symptoms in all adolescents. Demographics, religious beliefs, and mental health status were collected through the professional version of Wenjuanxing. Results: Of 11,069 valid questionnaires collected, 847 (7.7%) reported holding religious beliefs. Adolescents with religious beliefs showed significantly more severe symptoms of depression and anxiety compared to those without religious beliefs (both p<0.05). Logistic regression analysis revealed that religious belief was a risk factor for symptoms of depression (OR = 1.37, 95%CI: 1.16-1.61, p < 0.001) and anxiety (OR = 1.49, 95%CI: 1.23-1.79, p < 0.001) after controlling age, gender, and parental marital status. Conclusions: Our findings suggest that religiousness in adolescents was associated with a higher likelihood of depression/more intense depressive symptoms. In addition, religious Chinese adolescents should be provided with more resources to help them cope with mental health concerns.

The predictive role of early inflammation and oxidative stress and the dynamics of cytokines networks in post-stroke depression.

BACKGROUNDS: Chronic inflammation and oxidative stress play an important role in the pathogenesis of PSD. The main purposes of this study were to examine the dynamic changes of cytokines networks in PSD and the predictive role of early inflammation and oxidative stress for 2-week PSD. METHODS: Patients with ischemic stroke were recruited on day 3, and those with Hamilton Depression Rating Scale 24-Item (HAMD-24) ≥8 were classified as ischemic stroke patients with depressive symptoms and others as ischemic stroke patients without depressive symptoms. Subjects were then followed up at 2 weeks and 3 months, with those meeting diagnostic criteria for depressive symptoms on the HAMD ≥8 and the Statistical Manual of Mental Disorders-V (DSM-V) as the PSD group, and the others as the non-PSD group. RESULTS: At 3 days, IFN-γ, IL-12(p70), IL-12(p40), IL-2, IL-28A/IFNλ2, and IL-19 were elevated in ischemic stroke patients with depressive symptoms. At 2 weeks, IL-12(p40), IL-19, IL-22, IFN-ß and MMP-1 all were increased in PSD patients. At 3 months, IL-2, IFN-ß and sCD163 increased in PSD group. Longitudinally, the inflammatory response decreased significantly in PSD group from 2 weeks to 3 months of follow-up, while it gradually decreased in non-PSD group from 3 days to 3 months of follow-up. SOD was positively related to IL-12(p70), IFN-γ and IL-20. Plasma IFN-γ at 3 days may be a potential predictive biomarker for 2-week PSD. CONCLUSIONS: Peripheral inflammation and oxidative stress are involved in the pathogenesis of PSD, providing new insights for its diagnosis and treatment.

Lipid metabolism and oxidative stress in patients with Alzheimer's disease and amnestic mild cognitive impairment.

Lipid metabolism and oxidative stress are key mechanisms in Alzheimer's disease (AD). The link between plasma lipid metabolites and oxidative stress in AD patients is poorly understood. This study was to identify markers that distinguish AD and amnestic mild cognitive impairment (aMCI) from NC, and to reveal potential links between lipid metabolites and oxidative stress. We performed non-targeted lipid metabolism analysis of plasma from patients with AD, aMCI, and NC using LC-MS/MS. The plasma malondialdehyde (MDA), glutathione peroxidase (GSH-Px), and superoxide dismutase (SOD) levels were assessed. We found significant differences in lipid metabolism between patients with AD and aMCI compared to those in NC. AD severity is associated with lipid metabolites, especially TG (18:0_16:0_18:0) + NH4, TG (18:0_16:0_16:0) + NH4, LPC(16:1e)-CH3, and PE (20:0_20:4)-H. SPH (d16:0) + H, SPH (d18:1) + H, and SPH (d18:0) + H were high-performance markers to distinguish AD and aMCI from NC. The AUC of three SPHs combined to predict AD was 0.990, with specificity and sensitivity as 0.949 and 1, respectively; the AUC of three SPHs combined to predict aMCI was 0.934, with specificity and sensitivity as 0.900, 0.981, respectively. Plasma MDA concentrations were higher in the AD group than in the NC group (p = 0.003), whereas plasma SOD levels were lower in the AD (p < 0.001) and aMCI (p = 0.045) groups than in NC, and GSH-Px activity were higher in the AD group than in the aMCI group (p = 0.007). In addition, lipid metabolites and oxidative stress are widely associated. In conclusion, this study distinguished serum lipid metabolism in AD, aMCI, and NC subjects, highlighting that the three SPHs can distinguish AD and aMCI from NC. Additionally, AD patients showed elevated oxidative stress, and there are complex interactions between lipid metabolites and oxidative stress.

The mediating role of childhood maltreatment in the association between residence migration and adolescent depression.

BACKGROUND: It is well established that residence migration can negatively affect the mental health of adolescents. However, the related factors that mediate the association between residence migration and depression are still uncertain. METHODS: The participants were 16,037 adolescents in junior middle schools. A self-administered questionnaire was used for the survey. In addition to collecting general demographic characteristics of the participants, including age, gender, local residence status, only child status, parental marriage status and parent-child relationship, the questionnaire also contained the 9-item Patient Health Questionnaire, the short form of the Childhood Trauma Questionnaire and the Connor-Davidson Resilience Scale. Data analysis was conducted using SPSS software. RESULTS: A total of 14,059 valid questionnaires were collected, resulting in 12,122 local adolescents, defined as being born and raised locally, and 1937 migrant adolescents, defined as being transferred from other regions. Meanwhile, 53.3 % of local adolescents and 58.2 % of migrant adolescents reported depressive symptoms. This result indicated that residence migration might contribute to depression symptoms(OR = 1.136, 95%CI: 1.013-1.273, p < 0.05). Childhood maltreatment and parental divorce are risk factors for depression in migrant adolescents. For all adolescents, resilience and a good parent-child relationship may reduce the risk of depression. Childhood maltreatment completely mediates residence migration-related depression(95 % bootstrap CI = 0.146, 0.323). CONCLUSION: This study revealed that residence migration could contribute to adolescent depression, and childhood maltreatment may largely mediate this process, providing new insight into the relationship between adolescent depressive symptoms and residence migration. Reducing childhood maltreatment may effectively improve the depressive symptoms of migrant adolescents.

Parental marital status and anxiety symptoms in adolescents: the mediating effect of childhood maltreatment.

Although previous studies have established the association between parental marital status and mental health problems in adolescents, however, the adverse effects of incomplete family settings and childhood maltreatment on adolescent anxiety symptoms have not been fully investigated. Moreover, whether childhood maltreatment can mediate the relationship between parental marital status and anxiety symptoms remains unclear. A population-based cross-sectional study was performed among 35,573 adolescents in elementary schools across 17 provinces in China. And childhood maltreatment, resilience, and anxiety symptoms were assessed among adolescents, respectively. The parental marital status was self-reported as having two married biological parents, divorced parents, stepparents, and single-parent. We found that the rates of anxiety symptoms among adolescents were 35.1% in intact families, 48.8% in divorced families, 49% in stepparent families, and 48% in single-parent families. Divorced parents (aOR = 1.191, 95% CI [1.060-1.337]) was an independent risk factor for adolescents' anxiety symptom while having stepparents and single-parent were not. In addition, emotional abuse (aOR = 1.300, 95% CI [1.285-1.316]), sexual abuse (aOR = 1.088, 95% CI [1.063-1.114]), and physical neglect (aOR = 1.019, 95% CI [1.007-1.031]) were all independent risk factors for anxiety symptoms in adolescents, while physical abuse and emotional neglect were not. The negative impacts of divorced and remarried parents on adolescent anxiety symptoms were mediated by childhood maltreatment partially (64.9% and 72.2%), while childhood maltreatment completely mediated the adverse impacts of single-parent on adolescent anxiety symptoms. Childhood maltreatment intervention strategies could be necessary for anxiety symptoms of adolescents in divorced/stepparent/single-parent families.

Associations between resilience and symptoms of depression and anxiety among adolescents: Examining the moderating effects of family environment.

Depressive and anxiety symptoms in adolescents have experienced increase their risk of peripheral mental health and social problems. For adolescents, the role of family environmental factors should be taken into consideration. This study aimed to explore the association between resilience and depressive and anxiety symptoms in adolescents and to extend the findings by examining the moderating effects of family environment. A total of 35,573 adolescents in middle schools were recruited in China. Childhood abuse, resilience, and symptoms of depression and anxiety were evaluated in adolescents. We found a significant association between resilience and symptoms of depression and anxiety [OR = 0.976 (0.975-0.978), P < 0.001; OR = 0.980 (0.978-0.981), P < 0.001]. The adjusted ORs (95 % CIs) for mental health across the categories of resilience were as follows: 1 (reference) for low resilience, 0.660 (0.620-0.703) for medium resilience, 0.309 (0.286-0.333) for high resilience. The relationship between resilience and depressive symptoms was stronger for girls, non-only children, and those without child abuse experience compared to boys, only child, and those with child abuse experience (all p < 0.05). Our findings of a nationally representative sample in China suggest that gender, only child, parent-child relationship and child abuse moderated the relationship between resilience and symptoms of depression and anxiety.

A network analysis of the long-term quality of life and mental distress of COVID-19 survivors 1 year after hospital discharge.

Objectives: COVID-19 survivors suffer from persistent mental distress and impaired quality of life (QOL) after recovery from the infection. However, the symptom-symptom interaction between these psychological variables remained unexplored. The present study aimed to determine the symptom network of mental distress (depression, anxiety, sleep disturbance, fatigue, and post-traumatic stress disorder) and their association with QOL among 535 COVID-19 survivors 1 year after hospital discharge. Methods: 9-item Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, Chalder fatigue scale, Impact of Event Scale-Revised, Pittsburgh Sleep Quality Index, and 36-Item Short-Form Health Survey were applied to measure depression, anxiety, fatigue, PTSD, sleep disturbances, and QOL, respectively. Two networks were estimated using Gaussian graphical model. Network 1 consisted of mental symptoms to determine the central and bridge symptoms. Network 2 additionally included QOL to determine which mental symptoms were mostly related to QOL. Results: 60% of the COVID-19 survivors experienced mental distress 1 year after hospital discharge. Uncontrollable and excessive worry, psychomotor symptoms, intrusion, and daytime dysfunction were the most central symptoms. Daytime dysfunction and fatigue (especially mental fatigue and loss of energy) served as the bridge symptoms across the mental distress network and exhibited the most substantial association with QOL. Conclusion: Our study demonstrated several key symptoms that played a vital role in mental distress and QOL among COVID-19 survivors. Prompt screening and targeted interventions for these symptoms might hold great promise in preventing mental distress and improving QOL in COVID-19 survivors.

Metabolic Alterations and Related Biological Functions of Post-Stroke Depression in Ischemic Stroke Patients.

Background: Post-stroke depression (PSD) is one of the most common neuropsychiatric complications after stroke. However, the underlying mechanisms of PSD remain ambiguous, and no objective diagnosis tool is available to diagnose PSD. Previous metabolomic studies on PSD included patients with ischemic and hemorrhagic stroke indiscriminately, which is not conducive to elucidating and predicting the occurrence of PSD. The aim of this study is to elucidate the pathogenesis of PSD and provide potential diagnostic markers for PSD in ischemic stroke patients. Methods: In total, 51 ischemic stroke patients at 2 weeks were included in this study. Those with depressive symptoms were assigned to the PSD group, while the others were assigned to the non-PSD group. Plasma metabolomics based on liquid chromatography-mass spectrometry (LC-MS) was performed to explore the differential plasma metabolites between the PSD and non-PSD groups. Results: Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) showed significant metabolic alterations between PSD patients and non-PSD patients. In total, 41 differential metabolites were screened out, mainly including phosphatidylcholines (PCs), L-carnitine and acyl carnitines, succinic acid, pyruvic acid and L-lactic acid. Metabolite-related pathway analysis revealed that alanine, aspartate and glutamate metabolism, glycerophospholipid metabolism and the citrate cycle (TCA cycle) may contribute to the pathogenesis of PSD. A panel of three signature metabolites [PC(22:5(7Z,10Z,13Z,16Z,19Z)/15:0), LysoPA(18:1(9Z)/0:0) and 1,5-anhydrosorbitol] was determined as potential biomarkers for PSD in ischemic stroke patients. Conclusion: These findings are conducive to providing new insights into the pathogenesis of PSD and developing objective diagnostic tools for PSD in ischemic stroke patients.

Alterations in gut microbiota and urine metabolomics in infants with yin-deficiency constitution aged 0-2 years.

Background: Based on the constitution theroy, infants are classified into balanced constitution (BC) and unbalanced constitution. Yin-deficiency constitution (YINDC) is a common type of unbalanced constitutions in Chinese infants. An infant's gut microbiota directly affects the child's health and has long-term effects on the maturation of the immune and endocrine systems throughout life. However, the gut microbiota of infants with YINDC remains unknown. Herein, we aimed to evaluate the intestinal flora profiles and urinary metabolites in infant with YINDC, find biomarkers to identify YINDC, and promote our understanding of infant constitution classification. Methods: Constitutional Medicine Questionnaires were used to assess the infants' constitution types. 47 infants with 21 cases of YINDC and 26 cases of BC were included, and a cross-sectional sampling of stool and urine was conducted. Fecal microbiota was characterized using 16S rRNA sequencing, and urinary metabolomics was profiled using UPLC-Q-TOF/MS method. YINDC markers with high accuracy were identified using receiver operating characteristic (ROC) analysis. Results: The diversity and composition of intestinal flora and urinary metabolites differed significantly between the YINDC and BC groups. A total of 13 obviously different genera and 55 altered metabolites were identified. Stool microbiome shifts were associated with urine metabolite changes. A combined marker comprising two genera may have a high potential to identify YINDC with an AUC of 0.845. Conclusions: Infants with YINDC had a unique gut microbiota and metabolomic profile resulting in a constitutional microclassification. The altered gut microbiome in YINDC may account for the higher risk of cardiovascular diseases. Metabolomic analysis of urine showed that metabolic pathways, including histidine metabolism, proximal tubule bicarbonate reclamation, arginine biosynthesis, and steroid hormone biosynthesis, were altered in infants with YINDC. Additionally, the combined bacterial biomarker had the ability to identify YINDC. Identifying YINDC in infancy and intervening at an early stage is crucial for preventing cardiovascular diseases.

Peripheral inflammation in behavioural variant frontotemporal dementia: associations with central degeneration and clinical measures.

BACKGROUND: Neuroinflammation plays a significant role in the progression of frontotemporal dementia (FTD). However, the association between peripheral inflammatory factors and brain neurodegeneration is poorly understood. We aimed to examine changes in peripheral inflammatory markers in patients with behavioural variant FTD (bvFTD) and explore the potential association between peripheral inflammation and brain structure, metabolism, and clinical parameters. METHODS: Thirty-nine bvFTD patients and 40 healthy controls were enrolled and underwent assessment of plasma inflammatory factors, positron emission tomography/magnetic resonance imaging, and neuropsychological assessments. Group differences were tested using Student's t test, Mann‒Whitney U test, or ANOVA. Partial correlation analysis and multivariable regression analysis were implemented using age and sex as covariates to explore the association between peripheral inflammatory markers, neuroimaging, and clinical measures. The false discovery rate was used to correct for the multiple correlation test. RESULTS: Plasma levels of six factors, including interleukin (IL)-2, IL-12p70, IL-17A, tumour necrosis superfamily member 13B (TNFSF/BAFF), TNFSF12 (TWEAK), and TNFRSF8 (sCD30), were increased in the bvFTD group. Five factors were significantly associated with central degeneration, including IL-2, IL-12p70, IL-17A, sCD30/TNFRSF8, and tumour necrosis factor (TNF)-α; the association between inflammation and brain atrophy was mainly distributed in frontal-limbic-striatal brain regions, whereas the association with brain metabolism was mainly in the frontal-temporal-limbic-striatal regions. BAFF/TNFSF13B, IL-4, IL-6, IL-17A and TNF-α were found to correlate with clinical measures. CONCLUSION: Peripheral inflammation disturbance in patients with bvFTD participates in disease-specific pathophysiological mechanisms, which could be a promising target for diagnosis, treatment, and monitoring therapeutic efficacy.

Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles.

Introduction: This research investigated the effects of three psychological needs (competence, autonomy, and relatedness) of self-determination theory (SDT) and automation trust on the intention of users to employ new interaction technology brought by autonomous vehicles (AVs), especially interaction mode and virtual image. Method: This study focuses on the discussion from the perspective of psychological motivation theory applied to AV interaction technology. With the use of a structured questionnaire, participants completed self-report measures related to these two interaction technologies; a total of 155 drivers' responses were analyzed. Result: The results indicated that users' intentions were directly predicted by their perceived competence, autonomy, and relatedness of SDT and automation trust, which jointly explained at least 66% of the variance in behavioral intention. In addition to these results, the contribution of predictive components to behavioral intention is influenced by the type of interaction technology. Relatedness and competence significantly impacted the behavioral intention to use the interaction mode but not the virtual image. Discussion: These findings are essential in that they support the necessity of distinguishing between types of AV interaction technology when predicting users' intentions to use.

Mental health status of adolescents after family confinement during the COVID-19 outbreak in the general population: a longitudinal survey.

Few studies have examined the psychological impact on adolescents of family confinement and infection exposure during the COVID-19 pandemic. However, these surveys lacked follow-up data to determine how the family confinement affects participants' depression and anxiety. The purpose of this study was to evaluate the psychological status and related risk and protective factors of adolescents after two months of family confinement for preventing COVID-19 in China, and compare them with baseline data. We surveyed teenagers in January 2020 before the COVID-19 outbreak (T1) and after home confinement (T2). We used the Patient Health Questionnaire (PHQ), the Generalized Anxiety Disorder (GAD) Scale and the Childhood Trauma Questionnaire (CTQ). 13,637 valid questionnaires were collected at T1, of which 22.34% reported depressive symptoms (PHQ-9 ≥ 10) and 14.42% reported anxiety symptoms (GAD-7 ≥ 10). At T2, the rates decreased to 14.86 and 7.44%, respectively (all P < 0.0001). Of the adolescents, 223 reported potential risk of exposure to COVID-19. We then compared them to the 9639 non-risk adolescents using a propensity score matching analysis. The adolescents with potential exposure risk had higher rates of depression (26.91 vs 15.32%, P = 0.0035) and anxiety (14.80 vs 7.21%, P = 0.01) than risk-free adolescents. Among adolescents with an exposure risk, psychological resilience was protective in preventing depression and anxiety symptoms, while emotional abuse, a poor parent-child relationship were risk factors. Long-term home confinement had minimal psychological impact on adolescents, but COVID-19 infection rates accounted for 50% of the variance in depression and anxiety among adolescents even with low community rates.

Association between thyroid function and comorbid anxiety in first-episode and drug naïve patients with major depressive disorder.

OBJECTIVE: Existing studies have shown that thyroid dysfunction is associated with depression. However, its role in major depressive disorder (MDD) with comorbid anxiety remains unclear. The main purpose of this study was to compare thyroid function in a large sample of first episode drug naïve (FEDN) MDD patients with and without anxiety. METHODS: This cross-sectional study examined 1718 outpatients who were drug-naïve and diagnosed as MDD at first episode. Socio-demographic and clinical data, as well as thyroid function-related parameters, including free thyroxine (FT4), free triiodothyronine (FT3), thyroid-stimulating hormone (TSH), thyroid peroxidase antibodies (TPOAb) and anti-thyroglobulin (TGAb), were evaluated. The Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA) and the positive subscale of the Positive and Negative Syndrome Scale (PANSS) were used to evaluate depressive, anxiety and psychotic symptoms, respectively. RESULTS: Compared to MDD patients without anxiety, MDD patients with anxiety were more likely to have more suicide attempts and psychotic symptoms, as well as higher serum levels of TSH, TPOAb and TGAb (all p < 0.001). Among patients with abnormally elevated serum TSH, TPOAb, and TGAb, 83.5% (872/1044), 89.3% (391/438) and 89.6% (266/297) had comorbid anxiety disorders, respectively. The odds ratio between patients with comorbid and without comorbid anxiety was 1.657 (95% CI 1.304-2.105) for elevated TSH levels, 1.943 (95% CI 1.444-2.613) for elevated TGAb levels, and 2.448 (95% CI 1.760-3.403) for elevated TPOAb levels. Furthermore, multivariable linear analysis showed that elevated TSH and TGAb were significant predictors of anxiety in MDD patients. CONCLUSIONS: Our results suggest that comorbid anxiety in FEDN MDD patients is positively associated with elevated TSH and TGAb levels, which may be promising biomarkers of comorbid anxiety in MDD patients. Clinical treatment of impaired thyroid function may be useful for comorbid anxiety in MDD patients.

High-quality and robust protein quantification in large clinical/pharmaceutical cohorts with IonStar proteomics investigation.

Robust, reliable quantification of large sample cohorts is often essential for meaningful clinical or pharmaceutical proteomics investigations, but it is technically challenging. When analyzing very large numbers of samples, isotope labeling approaches may suffer from substantial batch effects, and even with label-free methods, it becomes evident that low-abundance proteins are not reliably measured owing to unsufficient reproducibility for quantification. The MS1-based quantitative proteomics pipeline IonStar was designed to address these challenges. IonStar is a label-free approach that takes advantage of the high sensitivity/selectivity attainable by ultrahigh-resolution (UHR)-MS1 acquisition (e.g., 120-240k full width at half maximum at m/z = 200) which is now widely available on ultrahigh-field Orbitrap instruments. By selectively and accurately procuring quantitative features of peptides within precisely defined, very narrow m/z windows corresponding to the UHR-MS1 resolution, the method minimizes co-eluted interferences and substantially enhances signal-to-noise ratio of low-abundance species by decreasing noise level. This feature results in high sensitivity, selectivity, accuracy and precision for quantification of low-abundance proteins, as well as fewer missing data and fewer false positives. This protocol also emphasizes the importance of well-controlled, robust experimental procedures to achieve high-quality quantification across a large cohort. It includes a surfactant cocktail-aided sample preparation procedure that achieves high/reproducible protein/peptide recoveries among many samples, and a trapping nano-liquid chromatography-mass spectrometry strategy for sensitive and reproducible acquisition of UHR-MS1 peptide signal robustly across a large cohort. Data processing and quality evaluation are illustrated using an example dataset ( http://proteomecentral.proteomexchange.org ), and example results from pharmaceutical project and one clinical project (patients with acute respiratory distress syndrome) are shown. The complete IonStar pipeline takes ~1-2 weeks for a sample cohort containing ~50-100 samples.

A cross-sectional study on the mental health of patients with COVID-19 1 year after discharge in Huanggang, China.

OBJECTIVE: This study is aimed to investigate the mental health status of COVID-19 survivors 1 year after discharge from hospital and reveal the related risk factors. METHODS: From April 11 to May 11, 2021, 566 COVID-19 survivors in Huanggang city were recruited through their primary doctors. A total of 535 participants (94.5%) admitted to participate in the survey and completed the questionnaires. Five scales were applied including 7-Items Generalized Anxiety Disorder Scale, Patient Health Questionnaire-9, Impact of Event Scale-Revised, Pittsburgh Sleep Quality Index, and Fatigue Scale-14. The chi-square and the Fisher's exact test were used to evaluate the classification data, multivariate logistic regression was used to explore the related factors of sleep quality, fatigue, anxiety, depression, and post-traumatic stress disorder (PTSD). RESULTS: One year after being discharged, of the 535 COVID-19 survivors, 252 (47.1%) had poor sleep quality; 157 (29.3%) had the symptoms of fatigue; 84 (15.7%),112 (20.9%), and 130 (24.3%) suffered from symptoms of anxiety, depression, and PTSD, respectively. The logistic regression analysis showed that history of chronic disease was risk factor for poor sleep quality (OR 2.501; 95% CI, 1.618-3.866), fatigue (OR 3.284; 95% CI 2.143-5.033), PTSD (OR 2.323; 95% CI 1.431-3.773) and depression (OR 1.950; 95% CI 1.106-3.436) in COVID-19 survivors. Smoking contributed to the poor sleep quality (OR 2.005; 95% CI 1.044-3.850), anxiety (OR 4.491; 95% CI 2.276-8.861) and depression (OR 5.459; 95% CI 2.651-11.239) in survivors. Drinking influenced fatigue (OR 2.783; 95% CI 1.331-5.819) and PTSD (OR 4.419; 95% CI 1.990-9.814) in survivors. Compared with college-educated survivors, survivors with high school education were at higher risk for poor sleep quality (OR 1.828; 95% CI 1.050-3.181) and PTSD (OR 2.521; 95% CI 1.316-4.830), and survivors with junior high school education were at higher risk for PTSD (OR 2.078; 95% CI 1.039-4.155). Compared with overweight survivors (BMI ≥ 23.0), survivors with normal BMI (18.5-22.9) (OR 0.600; 95% CI 0.405-0.889) were at lower risk for fatigue. While being housewife (OR 0.390; 95% CI 0.189-0.803) was protective factor for fatigue and having more family members was protective factor for PTSD (OR 0.404 95% CI 0.250-0.653) in survivors. CONCLUSIONS: One year after infection, poor sleep quality, fatigue, anxiety, depression, and PTSD, still existed in a relatively high proportion of COVID-19 survivors. Chronic disease history was an independent risk factor for poor sleep quality, fatigue, depression, and PTSD. Participants with low education levels were more likely to have mental problems than the others. We should focus on the long-term psychological impact of COVID-19 on survivors, and the government should apply appropriate mental health services to offer psychiatric support.

Emerging trends in epigenetic and childhood trauma: Bibliometrics and visual analysis.

Background: The epigenetic study of childhood trauma has become a valuable field. However, the evolution and emerging trends in epigenetics and childhood trauma have not been studied by bibliometric methods. Objective: This study aims to evaluate status of epigenetic studies in childhood trauma and reveal the research trends based on bibliometrics. Methods: A total of 1,151 publications related to childhood trauma and epigenetics published between 2000 and 2021 were retrieved from the Web of Science Core Collection (WoSCC). CiteSpace (5.8. R 3) was used to implement bibliometric analysis and visualization. Results: Since 2010, the number of related publications has expanded quickly. The United States and McGill University are the most influential countries and research institutes, respectively. Elisabeth Binder is a leading researcher in childhood trauma and epigenetic-related research. Biological Psychiatry is probably the most popular journal. In addition, comprehensive keyword analysis revealed that "glucocorticoid receptor," "brain development," "epigenetic regulation," "depression," "posttraumatic stress disorder," "maternal care," "histone acetylation," "telomere length," "microRNA," and "anxiety" reflect the latest research trends in the field. A comprehensive reference analysis demonstrated NR3C1 gene methylation, FKBP5 DNA methylation, BDNF DNA methylation, and KITLG methylation have been hot spots in epigenetic studies in the field of childhood trauma in recent years. Notably, the relationship between childhood adversity and NR3C1 gene methylation levels remains unresolved and requires well-designed studies with control for more confounding factors. Conclusion: As the best of our knowledge, this is the first bibliometric analysis of the association between childhood trauma and epigenetics. Our analysis of the literature suggests that childhood trauma may induce depression, anxiety, and post-traumatic stress disorder through epigenetic regulation of glucocorticoid receptor expression and brain development. The hypothalamic-pituitary-adrenal axis is the key points of epigenetic research. The current researches focus on NR3C1 gene methylation, FKBP5 DNA methylation, BDNF DNA methylation, and KITLG methylation. These results provide a guiding perspective for the study of epigenetic effects of childhood trauma, and help researchers choose future research directions based on current keywords.

The Impact of School Education on Depressive Symptoms in Chinese Adolescents: a Prospective Longitudinal Study.

There is a growing but limited literature on psychological distress among Chinese students, especially the impact of the COVID-19 pandemic, using a longitudinal comparison between in school and at home. This study aimed to assess the psychological status of adolescents in school and related risk and protective factors. We surveyed 13,637 adolescents before the COVID-19 outbreak (T1) and 10,216 after two months of home confinement (T2). The 9-item Patient Health Questionnaire (PHQ-9) was used to assess depressive symptoms or the severity of depression among the adolescents. In addition, the Childhood Trauma Questionnaire and the Connor-Davidson Resilience Scales were also used to screen for experiences of abuse and neglect and to measure resilience in adolescents. At baseline, 22.34% reported depressive symptoms. At T2, this rate decreased to 14.86%. When adolescents were in school, age (P < .0001), gender (P < .0001), and experience of abuse (P < .0001) were risk factors, while parent-child relationship (P < .0001), and resilience (P < .0001) were protective factors for depressive symptoms. After leaving school, age and physical abuse were no longer risk factors for depression. The negative impact of school education on the mental health of adolescents in China exceeds even the impact of the pandemic and home isolation. The focus should be on those adolescents with abuse experience and poor parent-child relationships to prevent the onset of psychological and psychiatric disorders.

Symptoms of Anxiety and Depression Among Adolescents Before vs During COVID-19-Related School Closures in China.

This cohort study compares the psychological status of Chinese adolescents at school before the COVID-19 pandemic and at home during the pandemic to assess whether school attendance was associated with negative mental health outcomes.

Knowledge mapping of copper-induced cell death: A bibliometric study from 2012 to 2022.

BACKGROUND: The recent article Copper induces cell death by targeting lipoylated TCA cycle proteins has attracted much attention. Although copper-induced cell death has only recently been formally proposed, it has been studied much earlier. This study aims to undertake a bibliometric analysis of the literature on copper-induced cell death to understand the development of copper-induced cell death better and identify potential new research directions. METHODS: With the help of Cite Space software, visual analysis is carried out on the annual number of published papers, countries/regions and institutions, journals co-citation, literature co-citation and reference burst, keywords co-occurrence, clustering, and burst. RESULTS: A search of 770 articles published in English over the last ten years showed a fluctuating trend of increasing numbers of articles. China had the highest number of articles (190% or 24.68%), followed by the USA and India. Inflammation, biological evaluation, nanoparticle, and cu(ii) have been popular research themes in the last 4 years. The keyword clusters are summarized in 8 categories, including exposure, complexe, er stress, cleavage, paraptosis, cancer, glutamate, reactive oxygen species (ROS), expression. The hot topics are mainly focused on the exploration of mechanisms and related diseases, including induced apoptosis, aggregation, autophagy, endoplasmic reticulum stress, induced oxidative stress, and inflammation. Parkinson's disease and cancer are 2 diseases that are closely related to copper-induced cell death. CONCLUSION: This study provides a visual analysis of copper-induced cell death trends and provides some hidden potentially useful information for future research directions.