Adverse childhood experiences (ACEs) refer to traumatic events such as abuse and neglect experienced before the age of 18 years, which have negative impacts on an individual's physical and mental health. Studies have shown that ACEs not only increase the risk of health-harming behaviors such as smoking and alcohol abuse, but are also risk factors for depression and anxiety. The influence of ACEs on depression and anxiety exhibits type-specificity, cumulative effects, and temporal dynamics. The impact of ACE types on depression and anxiety varies across populations and genders, a dose-response relationship exists between the number of ACEs and depression/anxiety, and the phase, trajectory, and frequency of ACEs also significantly influence depression and anxiety. This article collected literature on ACEs and depression/anxiety from January 1995 to June 2024 by searching the CNKI and PubMed databases. It provides a comprehensive review of the associations between different ACEs types, quantities, categories, timing, trajectories, frequencies, and the risks of depression and anxiety, while also exploring the underlying mechanisms of these associations. The findings aim to offer references for the prevention and intervention of ACEs and the improvement of mental health.

Artificial Intelligence (AI) is an interdisciplinary subject developed on the basis of computer technology, cybernetics, mathematics, philosophy and brain science. The purpose of AI is to study new ways to extend the intelligence of human brain in various fields. In recent years, the rapid development of AI technology has brought innovation to medical science and health care. During the pandemic of coronavirus disease 2019 (COVID-19) AI has been widely used in epidemiological investigation and outbreak prediction, clinical diagnosis and treatment, hospital management, research and development of new drugs and vaccines. The application of AI has reduced the clinical workload and the consumption of medical resources, greatly assisted the battle against COVID-19.This article introduces the progresses on the applications of AI technology to provide information for its further application in the fighting against COVID-19.

This study aimed to evaluate the efficacy of Chinese herbal medicine (CHM) in patients with severe/critical coronavirus disease 2019 (COVID-19). In this retrospective study, data were collected from 662 patients with severe/critical COVID-19 who were admitted to a designated hospital to treat patients with severe COVID-19 in Wuhan before March 20, 2020. All patients were divided into an exposed group (CHM users) and a control group (non-users). After propensity score matching in a 1:1 ratio, 156 CHM users were matched by propensity score to 156 non-users. No significant differences in seven baseline clinical variables were found between the two groups of patients. All-cause mortality was reported in 13 CHM users who died and 36 non-users who died. After multivariate adjustment, the mortality risk of CHM users was reduced by 82.2% (odds ratio 0.178, 95% CI 0.076-0.418; P < 0.001) compared with the non-users. Secondly, age (odds ratio 1.053, 95% CI 1.023-1.084; P < 0.001) and the proportion of severe/critical patients (odds ratio 0.063, 95% CI 0.028-0.143; P < 0.001) were the risk factors of mortality. These results show that the use of CHM may reduce the mortality of patients with severe/critical COVID-19.
Age Factors ; Aged ; COVID-19/therapy* ; China ; Drugs, Chinese Herbal/therapeutic use* ; Female ; Humans ; Male ; Medicine, Chinese Traditional ; Middle Aged ; Odds Ratio ; Propensity Score ; Retrospective Studies ; Survival Rate

Objective To investigate the effect of high dose mifepristone and high dose progesterone in the treatment of patients with endometrial carcinoma and to explore the possible mechanisms associating with them Methods Thirty untreated patients diagnosed as endometrial carcinoma through dilation and curettage of the uteri were divided into 3 groups at random Each group was given medroxyprogesterone acetate(MPA),(500 mg/day) or mifepristone(MIF),(100 mg/day)or MIF(100 mg/day)+ MPA(500 mg/day)for 5 days respectively On the sixth day, hysterectomy was performed on these patients The endometrial cancer specimen of post hysterectomy was compared with the one of pre administrating The morphologic changes of the endometrial cancer cells were observed through light microscope Immunohistochemistry assay (SP method) was applied to determine the localization and immunoreactive intensity of proliferating cell nuclear antigen(PCNA), estrogen receptor (ER), progesterone receptor (PR), B cell leukemia lymphoma 2 (bcl 2), bcl 2 associated X protein(bax) and CD 44 v6 Results Better differentiation degree and active excretion were observed in all of the post hysterectomy endometrial specimen In the same time, apoptosis of carcinoma cells was observed The most significant changes were seen in the MIF+MPA group In the MPA group,the pre treatment and post treatment expression of PR(2 9?1 1,1 6?0 8),ER(2 8?0 9,1 4?0 9),PCNA(0 84?0 10,0 60?0 12),bcl 2(0 236?0 089,0 157?0 981) and CD 44 v6 (4 6?1 8,2 5?1 9) were all decreased(all P 0 05) In the MIF+MPA group, the expression of PR(3 2?1 0,0 8?0 8),ER(2 7?0 9,0 7 ?0 9 ),PCNA(0 81?0 09,0 25?0 09),bcl 2(0 225?0 091,0 066?0 009)and CD 44 v6(4 5?1 9,2 7?1 6) were all decreased(all P