INTRODUCTION: Adolescent depression is prevalent, and teen suicide rates are on the rise locally. A systemic review to understand associated risk and protective factors is important to strengthen measures for the prevention and early detection of adolescent depression and suicide in Singapore. This systematic review aims to identify the factors associated with adolescent depression in Singapore. METHODS: A systematic search on the following databases was performed on 21 May 2020: PubMed, EMBASE and PsycINFO. Full texts were reviewed for eligibility, and the included studies were appraised for quality using the Newcastle Ottawa Scale. Narrative synthesis of the finalised articles was performed through thematic analysis. RESULTS: In total, eight studies were included in this review. The four factors associated with adolescent depression identified were: (1) sociodemographic factors (gender, ethnicity); (2) psychological factors, including childhood maltreatment exposure and psychological constructs (hope, optimism); (3) coexisting chronic medical conditions (asthma); and (4) lifestyle factors (sleep inadequacy, excessive internet use and pathological gaming). CONCLUSION The identified factors were largely similar to those reported in the global literature, except for sleep inadequacy along with conspicuously absent factors such as academic stress and strict parenting, which should prompt further research in these areas. Further research should focus on current and prospective interventions to improve mental health literacy, targeting sleep duration, internet use and gaming, and mitigating the risk of depression in patients with chronic disease in the primary care and community setting.
Humans ; Singapore/epidemiology* ; Adolescent ; Risk Factors ; Depression/etiology* ; Protective Factors ; Male ; Female ; Life Style ; Suicide

OBJECTIVES: To evaluate and integrate evidence on the management of sleep disorders in children with attention deficit hyperactivity disorder (ADHD). METHODS: Literature was retrieved based on the 6S model, and evidence related to sleep disorder management in children with ADHD was extracted from the included references. RESULTS: A total of 17 studies were included, from which 16 pieces of evidence were extracted. Of these, 6 were classified as Level 1 evidence and 10 as Level 5. The evidence covered screening, assessment, non-pharmacological interventions, pharmacological interventions, follow-up, and multidisciplinary collaboration. CONCLUSIONS This study integrated evidence on the management of sleep disorders in children with ADHD using an evidence-based approach, providing an evidence-based foundation for managing sleep disorders in this population.
Humans ; Attention Deficit Disorder with Hyperactivity/complications* ; Sleep Wake Disorders/etiology* ; Child ; Evidence-Based Medicine

Humans ; Infant ; Child ; Infant, Newborn ; Developmental Disabilities ; Bronchopulmonary Dysplasia

Adrenocortical carcinoma (ACC) is a rare malignant tumour originating from the adrenal cortex. Half of the cases are functional, with ACTH independent autonomous cortisol production being the most common. It is rare for ACC to present with markedly elevated metanephrine levels which is a typical characteristic of pheochromocytoma. We report a case of a large functioning adrenal tumour with overlapping biochemistry features of ACC and pheochromocytoma. Biopsy confirmed the histopathological diagnosis of metastatic ACC.
Adrenocortical Carcinoma ; Pheochromocytoma

This paper summarized professor WANG Shouchuan's experience in differentiating and treating children epistaxis from the perspective of "four excess and three deficiency". It is believed that the pathogenesis of children epistaxis is concluded as "four excess and three deficiency"， of which the four excess syndromes are exuberant heat in the lung channel， intense stomach fire， heart fire hyperactivity， and liver fire flaming upward， while the three deficiency syndromes include qi， yin and yang deficiency. Seven methods for treating children epistaxis are summarized. For exuberant heat in the lung channel syndrome， it is recommended to clear lung and direct qi downward， using self-made Xiebai Zhiniu Decoction （泻白止衄汤）. For intense stomach fire syndrome， the method of clearing stomach and draining fire can be used with self-made Qingwei Zhiniu Decoction （清胃止衄汤）. In terms of heart fire hyperactivity syndrome， it is better to clear heart and drain fire， using self-made Daochi Zhiniu Decoction （导赤止衄汤）. For liver fire flaming upward syndrome， it is advised to clear liver and drain fire， using self-made Yimu Zhiniu Decoction （抑木止衄汤）. In terms of qi deficiency syndrome， the method of fortifying spleen and boosting qi and containing blood should be used with self-made Futu Zhiniu Decoction （扶土止衄汤）. If there is yin deficiency syndrome， it is advised to supplement kidney， enrich yin and clear heat， using self-made Zishui Zhiniu Decoction （滋水止衄汤）. If there is yang deficiency syndrome， the method of boosting qi， warming yang and nourishing blood can be used， using self-made Wenpi Zhiniu Decoction （温脾止衄汤）.

Quercetin (Que) is a flavonoid compound widely distributed in nature with various biological activities.Its anti-inflammatory effect plays a crucial role in many diseases,closely related to its regula-tion of histone post-translational modifications.However,there have been no detailed reports on the anti-inflammatory effects of quercetin regulating histone post-translational modifications.In this study,we first investigated the effect of quercetin on the M1 macrophages polarization.The results showed that quercetin can significantly down-regulate the levels of interleukin-1β(IL-1β) and interleukin-6 (IL-6 ) in M1 macrophages.Next,we used the super stable isotope labeling by amino acids in cell culture (super-SI-LAC) method derived from SILAC technology based on mass spectrometry to systematically analyze the post-translational modification levels of histone in macrophages treated with quercetin.A total of 30 his-tone modification sites were quantified,of which 12 histone lysine acetylation marks were significantly downregulated and 4 lysine methylation sites were upregulated (fold change>1.2,P<0.05),and some sites were verified by Western blot (WB),which was consistent with the mass spectrometry results.In conclusion,a comprehensive analysis of quercetin on regulating macrophage histone modifications in this study provides reliable data references and new insights for studying its anti-inflammatory mechanism.

In mass spectrometry-based proteomics experiments,achieving high-throughput and efficientproteolytic digestion is crucial to ensure optimal protein cleavage and enhance the depth of protein identi-fication (including the number of identified proteins and the coverage of protein amino acid sequences) .Trypsin is the most widely used protease in mass spectrometry-based proteomics due to its ability to spe-cifically cleave the carboxyl terminus of arginine and lysine.However,it was found that Trypsin has some missed enzymatic efficiency for the cleavage of lysine residues.Therefore,in actual proteomics sample preparation,a combination of Trypsin and LysC will be used to ensure adequate cleavage of lysine resi-dues.Our study revealed that the commonly employed LysC-Trypsin tandem cleavage method exerts an impact on the enzymatic cleavage of protein samples by Trypsin due to the subsequent cleavage of Trypsin by initially added LysC.Consequently,we adjusted the order of LysC and Trypsin tandem digestion,with Trypsin cleavage being performed first followed by the addition of LysC to target any missed lysine resi-dues.We comprehensively compared and analyzed three distinct sequential digestion methods,namely Trypsin-Trypsin (T-T),LysC-Trypsin (L-T),and Trypsin-LysC (T-L),in terms of their effects on pro-tein sample preparation quality.The results demonstrated that the Trypsin-LysC sequential digestion ap-proach not only minimizes missed protein lysine/arginine cleavage sites without increasing experimental costs,at the same time yielding peptides with a moderate amino acid sequence length.The use of Tryp-sin-LysC digestion enhances the adsorption and separation of peptide samples in RP-HPLC,as well as improves the depth of protein detection and amino acid sequence coverage during tandem mass spectrome-try analysis.This research work offers a novel technical solution and serves as a valuable reference for proteome sample preparation.

Objective To observe the clinical effect of Dongjing Tiaoshen Comprehensive Therapy combined with computerized cognitive behavioral therapy for insomnia(CCBT-I)in the treatment of chronic insomnia patients with liver depression and spleen deficiency syndrome.Methods A total of 60 patients with chronic insomnia of liver depression and spleen deficiency type were randomly divided into observation group and control group,30 cases in each group.Both groups of patients were treated with CCBT-I as the basic treatment,the observation group was additionally treated with Dongjing Tiaoshen Comprehensive Therapy,i.e.,mind-regulating acupuncture therapy combined with regular aerobic exercises and Dantian Qigong exercises,and the control group was additionally treated with cranial electrotherapy stimulation.The course of treatment for the two groups covered 4 weeks.The changes of Pittsburgh Sleep Quality Index(PSQI)score,Self-rating Anxiety Scale(SAS)score and Self-rating Depression Scale(SDS)score in the two groups were observed before and after treatment,and the clinical efficacy of the two groups was evaluated after treatment.Results(1)After 4 weeks of treatment,the total effective rate of the observation group was 86.67%(26/30),and that of the control group was 70.00%(21/30).The intergroup comparison(tested by rank sum test)showed that the curative effect of the observation group was significantly superior to that of the control group,and the difference was statistically significant(P＜0.05).(2)After treatment,the PSQI scores of the two groups were significantly lower than those before treatment(P＜0.05),and the decrease of PSQI scores in the observation group was significantly superior to that in the control group,the difference being statistically significant(P＜0.05).(3)After treatment,the SAS and SDS scores of the two groups were significantly lower than those before treatment(P＜0.05),and the decrease of SAS and SDS scores in the observation group tended to be superior to that in the control group,but there was no significant difference between the two groups(P＞0.05).Conclusion For the treatment of chronic insomnia of liver depression and spleen deficiency type,the combination of Dongjing Tiaoshen Comprehensive Therapy with CCBT-I can significantly improve the sleep quality,relieve anxiety and depression,and improve the quality of life of the patients,which exerts significant efficacy.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.