Abstract Depressive disorder can cause damage to the social function of adolescents and bring heavy burden to the family and society. Dietary behavior is closely related to mental health , and depressive disorder can increase the risk of poor dietary behavior. At the same time , adolescence is a critical period for eating disorders , and patients with adolescent depression are more likely to have a series of bad eating behaviors . The combination of poor eating behaviors can negatively affect the treatment of the disease and the future development of the adolescent. This arti- cle aims to review the current status and potential mechanisms of unhealthy eating behaviors in adolescents with de- pression , in order to provide a theoretical basis for future prevention and early intervention .

Objective : To explore the predictive value of depression severity plasma thyroid-stimulating hormone(TSH) and brain-derived neurotrophic factor(BDNF) levels for agitated symptoms in patients with adolescent depressive disorder(MDD). Methods : Ninety-one patients with adolescent depressive disorder were enrolled, and the degree of agitation was assessed according to the modified outward aggressive behavior scale(MOAS); 24-item hamilton depression scale(HAMD24) was used to determine the severity of depression; chemiluminescence immunoassay(CLIA) was used to determine the plasma thyroid-stimulating hormone(TSH) level; and electrochemiluminescence immunoassay(ECL) was used to determine the plasma BDNF. SPSS 26.0 was used for statistical analysis of the data, Spearman correlation analysis was used to analyze the relationship between HAMD24and plasma TSH and BDNF levels and the degree of agitation, multiple linear regression analysis was used to analyze the factors influencing the degree of agitation in adolescents with MDD, and binary Logistic regression analysis and subjects′ work characteristic curves(ROC) were used to establish predictive models. Results: The degree of agitation in adolescent MDD patients was positively correlated with HAMD24total score(P<0.001); both HAMD24total score and plasma BDNF level were identified as risk factors for agitation severity(bothP<0.05); both HAMD24total score and plasma BDNF levels were risk factors for the degree of agitation(allP<0.05); HAMD24total score, plasma TSH, BDNF levels were all risk factors for concomitant agitation symptoms in adolescent MDD patients; ROC curve analysis showed that the three combined prediction models(AUC=0.889,P<0.001) had a higher predictive value than the single prediction model(P<0.01). Conclusion Concomitant agitation symptoms in adolescents with MDD are strongly associated with HAMD24total score and plasma TSH and BDNF levels, and the three combined models have good predictive power.

Functional near-infrared spectroscopy (fNIRS) is an emerging neuroimaging technique, strengthened by the advantages of non-invasiveness, operational convenience, real-time monitoring, and well compatibility. In recent years, its application has shown great promise in the diagnosis and treatment of mental disorders among children and adolescents. This article provides an overview of the fundamental principles of fNIRS. It focuses on its effectiveness in the diagnosis, symptom assessments, and treatment monitoring of mental disorders in children and adolescents.

Objective:To explore the correlation of excessive daytime sleepiness (EDS)with clinical features as well as inflammatory cytokines in adolescents with major depressive disorder.Methods:From January to December 2021, a total of 164 adolescents with major depressive disorder were included in the psychiatry departments of two hospitals in Anhui province, China, and divided into the EDS group ( n=70) and the non-EDS group ( n=94) according to whether or not they were accompanied by EDS. The center for epidemiological studies depression scale (CES-D) and the positive and negative suicidal ideation scale (PANSI) were used to assess patients' depressive symptoms severity and suicidal ideation levels, respectively. Additionally, plasma levels of inflammatory cytokines, including interleukin (IL)-1β, IL-6, IL-10, IL-17A, and tumour necrosis factor-α (TNF-α) were measured using the MSD ultrasensitive multifactor electrochemiluminescence analyzer. Statistical analysis were performed using SPSS 23.0 software, and independent influences of EDS were analyzed by Logistic stepwise regression. Results:The prevalence of EDS was 42.7%(70/164) in adolescents with major depressive disorder. In univariate analysis, patients in the EDS group had higher body mass index (BMI), CES-D total score, PANSI total score, IL-1β (Log) and IL-6 (Log) compared to the non-EDS group (all P<0.05). Logistic stepwise regression analysis showed that BMI ( OR=1.094, 95% CI=1.007-1.189, P=0.033), CES-D total score ( OR=1.043, 95% CI=1.012-1.075, P=0.007), and IL-1β (Log) ( OR=3.868, 95% CI=1.484-10.079, P=0.006) were independent influencing factors of EDS in adolescents with major depressive disorder. Conclusions:The risk of EDS in adolescents with major depressive disorder is relatively high, and EDS may be closely related to BMI, depression severity, suicidal ideation and IL-1β level.

Objective:To explore the correlation of excessive daytime sleepiness (EDS)with clinical features as well as inflammatory cytokines in adolescents with major depressive disorder.Methods:From January to December 2021, a total of 164 adolescents with major depressive disorder were included in the psychiatry departments of two hospitals in Anhui province, China, and divided into the EDS group ( n=70) and the non-EDS group ( n=94) according to whether or not they were accompanied by EDS. The center for epidemiological studies depression scale (CES-D) and the positive and negative suicidal ideation scale (PANSI) were used to assess patients' depressive symptoms severity and suicidal ideation levels, respectively. Additionally, plasma levels of inflammatory cytokines, including interleukin (IL)-1β, IL-6, IL-10, IL-17A, and tumour necrosis factor-α (TNF-α) were measured using the MSD ultrasensitive multifactor electrochemiluminescence analyzer. Statistical analysis were performed using SPSS 23.0 software, and independent influences of EDS were analyzed by Logistic stepwise regression. Results:The prevalence of EDS was 42.7%(70/164) in adolescents with major depressive disorder. In univariate analysis, patients in the EDS group had higher body mass index (BMI), CES-D total score, PANSI total score, IL-1β (Log) and IL-6 (Log) compared to the non-EDS group (all P<0.05). Logistic stepwise regression analysis showed that BMI ( OR=1.094, 95% CI=1.007-1.189, P=0.033), CES-D total score ( OR=1.043, 95% CI=1.012-1.075, P=0.007), and IL-1β (Log) ( OR=3.868, 95% CI=1.484-10.079, P=0.006) were independent influencing factors of EDS in adolescents with major depressive disorder. Conclusions:The risk of EDS in adolescents with major depressive disorder is relatively high, and EDS may be closely related to BMI, depression severity, suicidal ideation and IL-1β level.

Functional near-infrared spectroscopy (fNIRS) is an emerging neuroimaging technique, strengthened by the advantages of non-invasiveness, operational convenience, real-time monitoring, and well compatibility. In recent years, its application has shown great promise in the diagnosis and treatment of mental disorders among children and adolescents. This article provides an overview of the fundamental principles of fNIRS. It focuses on its effectiveness in the diagnosis, symptom assessments, and treatment monitoring of mental disorders in children and adolescents.

BackgroundPatients demonstrating depressive disorder with psychotic symptoms often have increased risk of death and poor prognosis. A large amount of research has explored the factors influencing psychotic symptoms in adult patients with depressive disorder， but few has focused on adolescent patients. ObjectiveTo explore the influencing factors of psychotic symptoms in adolescent patients with depressive disorder， so as to provide references for early screening and intervention in clinic. MethodsA total of 96 adolescent patients who met the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） for depressive disorder and were seen in the psychiatry departments of Chaohu Hospital of Anhui Medical University and The Fourth People's Hospital of Hefei from September 2022 to January 2023 were included. Another 56 healthy individuals from the health examination center of Chaohu Hospital of Anhui Medical University were concurrently recruited as control group. Patients were assigned into psychotic group （n=32） and non-psychotic group （n=64） according to the presence or absence of psychotic symptoms. Hamilton Depression Scale-24 item （HAMD-24）， Positive and Negative Syndrome Scale （PANSS）， Positive and Negative Suicide Ideation （PANSI） and Childhood Trauma Questionnaire-Short Form （CTQ-SF） were used for evaluation. Plasma brain-derived neurotrophic factor （BDNF） concentration was obtained using Meso Scale Discovery electrochemiluminescence assay. Pearson and Spearman correlation analysis were adopted to determine the correlation of PANSS positive symptom subscale score with plasma BDNF concentration and clinical characteristics of adolescent depression patients with psychotic symptoms. Binary Logistic regression analysis was used to identify the factors influencing the presence of psychotic symptoms in adolescent patients with depressive disorder， and multiple linear regression analysis was utilized to screen the factors affecting the severity of psychotic symptoms. ResultsThe plasma BDNF concentration of adolescent patients with depressive disorder was lower than that of control group （t=-3.080， P<0.01）.The plasma BDNF concentration of psychotic group was lower than that of non-psychotic group （t=2.418， P<0.05）， while the body mass index （BMI） PANSI scores， CTQ-SF scores and HAMD-24 total scores were all higher than those of non-psychotic group （t=-2.024， -2.530， -2.187， -4.977， P<0.05 or 0.01）. Correlation analysis showed that PANSS positive symptom subscale scores were negatively correlated with anxiety/somatization factor score and weight factor score in HAMD-24 of psychotic group （r=-0.438， -0.498， P<0.05 or 0.01）. Binary Logistic regression showed that BMI， plasma BDNF concentration， HAMD-24 total scores and cognitive dysfunction factor score were the influencing factors of psychotic symptoms in adolescent patients with depressive disorder. Multiple linear regression analysis demonstrated that weight factor scores （β=-0.349， P<0.05） and anxiety/somatization factor score （β=-0.433， P<0.05） in HAMD-24 were the factors influencing the severity of psychotic symptoms. ConclusionHigh BMI， low plasma BDNF concentration， severe depressive symptoms and cognitive dysfunction may be the risk factors of psychotic symptoms in adolescent patients with depressive disorder， furthermore， BMI and anxiety symptoms are found to be associated with the severity of psychotic symptoms. ［Funded by Scientific Research Fund Project of Anhui Institute of Translational Medicine （number， 2022zhyx-B01）； Central Finance Supported Provincial Key Clinical Specialty Construction Project of Anhui Province in 2019］

Objective To summarize the uric acid-lowering effects and mechanisms of Chinese medicines with medicine-food homology,aiming to provide novel perspectives for the devel-opment of new anti-hyperuricemia(HUA)drugs.Methods Papers on the research of HUA prevention and treatment with medicine-food ho-mology from December 15,2002 to August 10,2024 were screened and collected through Chi-na National Knowledge Infrastructure(CNKI),PubMed,ScienceDirect,and Google Scholar.Subsequently,the impact of these medications and their extracts,as well as the active com-pounds on HUA were assessed.Results A total of 148 relevant papers were collected,including 43 kinds of Chinese medicines and 61 active compounds,all of which have anti-HUA activity.Among them,41 kinds of Chinese medicines could inhibit the activity of xanthine oxidase,thus leading to the inhibition of uric acid production;and 22 kinds of Chinese medicines could facilitate uric acid excretion,while 15 kinds of Chinese medicines could reduce the inflammation levels in the body and promoting renal protection.Notably,polyphenols and flavonoids are the key active components for the uric acid-lowering effects.Conclusion This study systematically summarized and analyzed the uric acid-lowering ef-fects and mechanisms of Chinese medicines with medicine-food homology,laying a founda-tion for their development as HUA agents.

OBJECTIVE: To report the clinical and genetic characteristics of a rare case of Gitelman syndrome with comorbid Graves disease and ACTH-independent adrenocortical adenoma. METHODS: A patient who had presented at the Nanchong Central Hospital on December 21, 2020 was selected as the study subject. Clinical data of the patient was collected. Whole-exome sequencing was carried out on DNA extracted from peripheral venous blood samples from the patient and her family members. RESULTS: The patient, a 45-year-old woman, was found to have Graves disease, ACTH-independent Cushing syndrome, hypokalemia and hypomagnesemia following the discovery of an adrenal incidentaloma. MRI scan had revealed a 3.8 cm × 3.2 cm mass in the left adrenal gland. The mass was removed by surgery and confirmed as adrenocortical adenoma. DNA sequencing revealed that the patient and her sister have both harbored compound heterozygous variants of the SLC12A3 gene, namely c.1444-10(IVS11)G>A and c.179(exon1)C>T (p.T60M), which were respectively inherited from their father and mother. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the c.1444-10(IVS11)G>A and c.179(exon1)C>T (p.T60M) were respectively classified as a variant of uncertain significance (PM2_Supporting+PP3) and a likely pathogenic variant (PM3_Strong+PM1+PP3). CONCLUSION The conjunction of Gitelman syndrome with Graves disease and adrenal cortex adenoma is rather rare. The newly discovered c.1444-10(IVS11)G>A variant of the SLC12A3 gene, together with the heterozygous variant of c.179(exon1)C>T (p.T60M), probably underlay the pathogenesis in this patient.
Humans ; Female ; Middle Aged ; Gitelman Syndrome/genetics* ; Adrenocortical Adenoma ; Hypokalemia ; Graves Disease/genetics* ; Mothers ; Mutation ; Solute Carrier Family 12, Member 3

Polymorphism of drug is known to influence the stability, dissolution, bioavailability and other performance characteristics of the products. Therefore, the crystal form of the drug must be identified and determined in order to ensure consistent product performance. Even if the identification and characterization of crystal forms are performed thoroughly and the effective crystal form is selected for preparation, it is important to ensure that the effective crystal form in the final product remains unchanged. Therefore, it is essential to quantitate the content of the effective crystal form in the product to control the quality and performance of them. X-ray powder diffraction, FT-Raman, mid-IR, near-IR, terahertz pulsed spectroscopy, solid-state NMR spectroscopy, and DSC are the quantitative methods of crystal form used in the recent 10 years. This review briefly highlights the basic principles and the progress of these methods and discusses the perspective as they apply to pharmaceutical research and development.