[Association between depression during pregnancy and low birth weight in neonates: a Meta analysis].

OBJECTIVE: To study the association between depression during pregnancy and low birth weight in neonates, and to provide a scientific basis for the prevention of low birth weight. METHODS: Cohort studies on the association between depression during pregnancy and low birth weight were collected and a Meta analysis was performed. Data were extracted independently by two investigators, and quality assessment was performed according to Newcastle-Ottawa Scale. The Egger's test was used to evaluate publication bias. RESULTS: A total of 12 cohort studies with 37 192 samples were included. The results of the Meta analysis showed that depression during pregnancy was associated with low birth weight (Z=2.08, P=0.038), and the neonates whose mothers had depression during pregnancy tended to have a high risk of low birth weight (RR=1.303, 95%CI: 1.015-1.672). The sensitivity analysis showed that the results of this Meta analysis were stable and reliable, and the Egger's test showed no publication bias. CONCLUSIONS: Depression during pregnancy may be a risk factor for low birth weight in neonates.

[Risk factors for congenital heart disease in Chinese neonates: a Meta analysis].

OBJECTIVE: To investigate the major risk factors for congenital heart disease (CHD) in Chinese neonates and to provide a reference for the prevention of CHD. METHODS: A literature search was performed to collect the case-control studies on the risk factors for CHD in Chinese neonates published in 2001-2016. The relevant data were extracted accordingly. The quality of included studies was assessed by Newcastle-Ottawa Scale. Sensitivity analysis was conducted using different models to analyze the same data. The publication bias was assessed by Egger's test. RESULTS: A total of 17 case-control studies involving 2 930 cases and 4 952 controls were included. The Meta analysis showed that the major risk factors for CHD in Chinese neonates were as follows: mother with advanced age (OR=2.649, 95%CI: 1.675-4.189), cold or fever (OR=4.558, 95%CI: 2.901-7.162), medication use in early pregnancy (OR=3.961, 95%CI: 2.816-5.573), passive smoking (OR=2.766, 95%CI: 1.982-3.859), abnormal childbearing history (OR=2.992, 95%CI: 1.529-5.856), noise exposure (OR=3.030, 95%CI: 1.476-6.217), radiation exposure (OR=2.363, 95%CI: 1.212-4.607), decoration (OR=4.979, 95%CI: 3.240-7.653), gestational diabetes (OR=5.090, 95%CI: 3.132-8.274), and pet raising (OR=2.048, 95%CI: 1.385-3.029). CONCLUSIONS: Mothers with advanced age, cold or fever, medication use in early pregnancy, passive smoking, abnormal childbearing history, noise exposure, radiation exposure, decoration, gestational diabetes, and pet raising may increase the risk of CHD in Chinese neonates.

Recent developments in smart freezing technology applied to fresh foods.

Due to the increased awareness of consumers in sensorial and nutritional quality of frozen foods, the freezing technology has to seek new and innovative technologies for better retaining the fresh like quality of foods. In this article, we review the recent developments in smart freezing technology applied to fresh foods. The application of these intelligent technologies and the associated underpinning concepts have greatly improved the quality of frozen foods and the freezing efficiency. These technologies are able to automatically collect the information in-line during freezing and help control the freezing process better. Smart freezing technology includes new and intelligent technologies and concepts applied to the pretreatment of the frozen product, freezing processes, cold chain logistics as well as warehouse management. These technologies enable real-time monitoring of quality during the freezing process and help improve product quality and freezing efficiency. We also provide a brief overview of several sensing technologies used to achieve automatic control of individual steps of freezing process. These sensing technologies include computer vision, electronic nose, electronic tongue, digital simulation, confocal laser, near infrared spectroscopy, nuclear magnetic resonance technology and ultrasound. Understanding of the mechanism of these new technologies will be helpful for applying them to improve the quality of frozen foods.

Protective effects of silibinin and its possible mechanism of action in mice exposed to chronic unpredictable mild stress.

Silibinin, a natural flavonoid antioxidant isolated from extracts of the milk thistle herb, has recently been identified as having anti-hepatotoxic and anticancer properties. In this paper, we investigated the effects of silibinin on behavior and neuroplasticity in mice subjected to chronic unpredictable mild stress (CUMS). After 5 consecutive weeks of CUMS, the mice were treated with silibinin (100 mg/kg, 200 mg/kg and 400 mg/kg by oral gavage) for 3 consecutive weeks. The results showed that silibinin administration significantly alleviated the CUMS-induced depressive-like behavior, including the total number of squares crossed and the frequency of rearing in the open field test, the immobility time in the tail suspension test and the forced swimming test. Furthermore, silibinin treatment increased the levels of brain-derived neurotrophic factor (BDNF), serotonin (5-HT) and norepinephrine (NE) in the prefrontal cortex and hippocampus. Our study provides new insight into the protective effects of silibinin on the depressive status of CUMS mice, specifically by improving neuroplasticity and neurotransmission.