Psychological status of pregnant women during the omicron pandemic outbreak in China.

BACKGROUND: Pregnant women faced great challenges and psychological and physiological changes of varying degrees during the omicron epidemic outbreak. It is important to recognize the potential impact of these challenges on the mental health of pregnant women and to provide appropriate resources and support to mitigate their effects. METHOD: By using the convenience sampling approach, a total of 401 pregnant women from two hospitals of different grades in two cities were included in the survey. The cross-sectional survey was conducted by basic characteristics, Generalized Anxiety Disorder (GAD-7), Patient Health Questionnaire (PHQ-9), Insomnia Severity Index (ISI) and self-made questionnaire. RESULTS: Insomnia affected 207 participants (51.6%), depression affected 160 participants (39.9%) and anxiety affected 151 participants (37.7%). Moreover, pregnant women in provincial capital city were more likely to experience anxiety, depression and insomnia than those in county-level city (P < 0.01). Pregnant women's anxiety, depression and insomnia were positively correlated with the severity of COVID-19 infection (P < 0.05). However, COVID-19 infection had no appreciable impact on maternal demand for termination of pregnancy and cesarean section (P > 0.05). CONCLUSION: Pregnant women frequently suffer from anxiety disorder, depression and insomnia as a result of the omicron pandemic in China. During this period, the community and medical professionals should provide more psychological counseling, conduct health education and offer virtual prenatal care to pregnant women (particularly in the provincial capital city).

Psychological Status of Medical Staff in Obstetrics and Gynecology Hospitals during the Omicron Pandemic Outbreak in China.

Background: Medical staff in China faced great challenges and psychological and physiological changes of varying degrees during the omicron epidemic outbreak. It is important to recognize the potential impact of these challenges on the mental health of medical staff and to provide appropriate resources and support to mitigate their effects. Methods: A total of 354 medical staff in two obstetrics and gynecology hospitals of different grades were included in this survey using convenience sampling. The cross-sectional self-report questionnaires survey was conducted using the Basic Characteristics Questionnaire, Generalized Anxiety Disorder (GAD-7), Patient Health Questionnaire (PHQ-9), and Insomnia Severity Index (ISI). Results: There were 169 (47.7%) participants suffering from anxiety disorder. Working with fever, working in obstetrics, and working with protective clothing were the risk factors for anxiety in medical staff (p < 0.05). One hundred and ninety-six (55.4%) participants were depressed. Working with fever and working in obstetrics were the risk factors for depression in medical staff (p < 0.05). There were 117 (33.1%) participants suffering from insomnia. Working with fever, high educational level, and severe COVID-19 infection status were the risk factors for insomnia in medical staff (p < 0.05). Moreover, medical staff in a provincial hospital were more anxious and depressed than those in a county hospital. At last, there were more participants working with fever in obstetrics (p < 0.05). Conclusion: Anxiety disorder, depression, and insomnia were common among obstetrics and gynecology medical staff during the outbreak of omicron pandemic. During this period, more resources for psychological counselling should be provided to the hospital as well as more reasonable staffing arrangements, and working while having a fever is prohibited, especially in provincial hospital.

ZIF-67 based CoS2 self-assembled on graphitic carbon nitride microtubular for sensitive electrochemical detection of paraquat in fruits.

Paraquat (PQ) is a widely used and harmful herbicide that must be detected in the environment. This study reports a novel composite (CoS2-GCN) prepared by assembling cobalt disulfide (CoS2) derived from metal-organic frameworks (MOFs) on graphitic carbon nitride (GCN). An electrochemical sensor (CoS2-GCN/ glassy carbon electrode (GCE)) was successfully prepared by modifying CoS2-GCN onto a GCE to sensitively detect PQ. Different concentrations of PQ were detected using square-wave voltammetry, and the CoS2-GCN/GCE electrochemical sensor showed remarkable response signals for PQ in the range of 20 - 1000 nM and 1 - 13 µM, with a detection limit of 4.13 nM (S/N = 3). The CoS2-GCN/GCE electrochemical sensor exhibited high stability, reproducibility, and immunity to interference, which were attributed to the synergistic effects of CoS2 and GCN. In addition, the CoS2-GCN/GCE electrochemical sensor showed high applicability for the analysis of fruit samples. Therefore, the proposed sensor has potential applications in PQ detection.

Development of an Inosine Hyperproducer from Bacillus licheniformis by Systems Metabolic Engineering.

Inosine is widely used in food, chemical, and medicine. This study developed Bacillus licheniformis into an inosine hyperproducer through systems metabolic engineering. First, purine metabolism was activated by deleting inhibitors PurR and YabJ and overexpressing the pur operon. Then, the 5-phosphoribosyl-1-pyrophosphate (PRPP) supply was increased by optimizing the glucose transport system and pentose phosphate pathway, increasing the inosine titer by 97% and decreasing the titers of byproducts by 36%. Next, to prevent the degradation of inosine, genes deoD and pupG coding purine nucleoside phosphorylase were deleted, accumulating 0.91 g/L inosine in the culture medium. Additionally, the downregulation of adenosine 5'-monophosphate (AMP) synthesis pathway increased the inosine titer by 409%. Importantly, enhancing the glycine and aspartate supply increased the inosine titer by 298%. Finally, the guanosine synthesis pathway was blocked, leading to strain IR-8-2 producing 27.41 g/L inosine with a 0.46 g inosine/g glucose yield and a 0.38 g/(L·h) productivity in a shake flask.

Boron-cluster-based porous BCN material modified electrode for electrochemical determination of morphine in serum.

Porous highly boron-doped BCN (p-BCN) was produced by using a boron cluster salt (closo-[B12H12]2-) as the boron-based precursor and SiO2 as a hard template. The synthesized p-BCN was used in an electrochemical sensor for the ultrasensitive and highly selective detection of morphine (MOP). The optimal conditions for MOP detection were determined by optimizing the experimental conditions. Under these optimal conditions, the p-BCN-based sensor exhibited excellent MOP detection performance (working potential of 0.2 V). Specifically, it showed a detection range of 0.05 to 200 µM and a detection limit of 17.8 nM. Notably, the p-BCN-based electrochemical sensor was successfully applied to the determination of MOP in human blood, and the results showed satisfactory recovery and accuracy. Therefore, this sensor can be used as an effective platform for the detection of MOP in human blood samples.

MoS2 nanosheets grown on bowl-shaped hollow carbon spheres as an efficient electrochemical sensor for ultrasensitive determination of nephrotoxic aristolochic acids in Chinese traditional herbs.

Aristolochic acid, a substance in herbs, is highly nephrotoxic, so it is crucial to develop an assay that can rapidly and accurately analyze its content. In this study, bowl-shaped hollow carbon spheres (BHCs) were synthesized using a complex template method, and a MoS2 layer was grown in situ on their surface using a hydrothermal method. The synthesized MoS2-BHCs were used to fabricate an electrochemical sensor for the ultrasensitive and highly selective detection of aristolochic acids (AAs). The optimal conditions for AA detection were determined by tailoring the amount of MoS2 used to modify the BHCs and the pH of the electrolyte. Under optimal conditions, the MoS2-BHC-based sensor presented excellent AA detection performance. The linear concentration ranges of the MoS2-BHC-based sensor for the detection of AA were 0.05-10 µmol L-1 and 10-80 µmol L-1, and the limit of detection of the sensor was 14.3 nmol L-1. Moreover, the MoS2-BHC-based sensor detected AA in Aristolochia and Asarum sieboldii samples. The results were consistent with high-performance liquid chromatography data, demonstrating the satisfactory recovery and accuracy of the sensor. Therefore, we believe that MoS2-BHC-based sensors can be used as effective platforms for detecting AA in traditional Chinese herbs.

A fungal cellulose nanocrystals-based approach to improve the stability of triterpenes loaded Pickering emulsion.

Depolysaccharide residues of edible fungus Pleurotus eryngii (dePSR-Pe), a mushroom industry waste, have abundant cellulose. In this study, the cellulose nanocrystals of P. eryngii (PeCNs) were extracted by hydrochloric acid. Results showed that the length of PeCNs is 469 ± 76.41 nm with a high aspect ratio of 40-100 and needle morphology. The structural characterization revealed that PeCNs had good thermal stability (approach 300 °C) and high crystallinity (84.2 %). An O/W Pickering emulsion stabilized with PeCNs was prepared to inhibit lipid oxidation and improve the loading capacity of triterpenes of P. coco. Unimodal size distribution of emulsion droplets was obtained under an optimized aqueous-phase condition to form a metastable emulsion, regardless of varying oil-water volume ratio <50/50. In vitro digestion study suggested that triterpenes-loaded Pickering emulsion had 1-3 times higher drug stability than bulk oil. These metastable Pickering emulsions call for fewer nanoparticles and provide a new strategy for the industry application of cellulose nanocrystals at less cost.

Prediction of birth weight in pregnancy with gestational diabetes mellitus using an artificial neural network.

Gestational diabetes mellitus (GDM) is common during pregnancy, with the prevalence reaching as high as 31.0% in some European regions (McIntyre et al., 2019). Dysfunction of the glucose metabolism in pregnancy can influence fetal growth via alteration of the intrauterine environment, resulting in an increased risk of abnormal offspring birth weight (McIntyre et al., 2019). Infants with abnormal birth weight will be faced with increased risks of neonatal complications in the perinatal period and chronic non-communicable diseases in childhood and adulthood (Mitanchez et al., 2015; McIntyre et al., 2019). Therefore, accurate estimation of birth weight for neonates from women with GDM is crucial for more sensible perinatal decision-making and improvement of perinatal outcomes. Timely antenatal intervention, with reference to accurately estimated fetal weight, may also decrease the risks of adverse long-term diseases.

Sensitive and selective electrochemical determination of uric acid in urine based on ultrasmall iron oxide nanoparticles decorated urchin-like nitrogen-doped carbon.

Hypercrosslinked pyrrole was synthesized via the Friedel-Crafts reaction and then carbonized to obtain urchin-like nitrogen-doped carbon (UNC). Ultrasmall iron oxide nanoparticles were then supported on UNC, and the composite was used to prepare an electrochemical sensor for detecting uric acid (UA) in human urine. FexOy/UNC was characterized and analyzed via scanning electron microscopy, transmission electron microscopy, energy dispersive spectrometry, X-ray diffraction, and X-ray photoelectron spectroscopy. A glassy carbon electrode (GCE) modified with FexOy/UNC was used as an electrochemical sensor to effectively identify UA. The electrochemical behavior of the FexOy/UNC-based UA sensor was studied using differential pulse stripping voltammetry, and the optimal conditions were determined by changing the amount of FexOy/UNC, pH of the buffer solution, deposition potential, and deposition time. Under optimal conditions, the FexOy/UNC-based electrochemical sensor detected UA in the range of 2-200 µM, where the limit of detection (LOD) for UA was 0.29 µM. Anti-interference experiments were performed, and the sensor was applied to the actual analysis of human urine samples. Urea, glucose, ascorbic acid, and many cations and anions present at 100-fold concentrations relative to UA did not strongly interfere with the response of the sensor to UA. The FexOy/UNC electrochemical sensor has high sensitivity and selectivity for uric acid in human urine samples and can be used for actual clinical testing of UA in urine.

Determining three isoflavones from Pueraria lobata using magnetic ZIF-8 nanoparticle-based solid-phase extraction and pressurized capillary electrochromatography.

In this study, magnetic functionalized ZIF-8 nanoparticles were prepared by electrostatic self-assembly using magnetic Fe3O4 nanoparticles as cores and ZIF-8 as shells. ZIF-8 was used as the adsorbent to efficiently extract and sensitively analyze isoflavones due to its positive charge and strong adsorption capacity. Prepared samples were investigated by SEM and TEM, BET and ζ-potential analyses, FT-IR spectroscopy, powder XRD, and vibrating sample magnetism (VSM) experiments. The synthesized ZIF-8 has a dodecahedral structure that adsorbs well. Magnetic functionalized ZIF-8/Fe3O4 @SiO2 nanoparticles were prepared as a new SPE adsorbent, and a magnetic ZIF-8-pressurized capillary electrochromatography (pCEC) method was developed to separate and detect puerarin, daidzin, and daidzein (isoflavones) from Pueraria lobata by optimizing the extraction conditions, including adsorbent dosage, salt concentration, extraction time, desorption conditions, and other parameters. The developed method exhibited good linearities in the 50-2000 µg/mL concentration range for the three isoflavones, with coefficients of determination of 0.9934-0.9962. The limits of detection (LODs) for puerarin, daidzin, and daidzein were determined to be 0.02, 0.03, and 0.03 µg/mL, respectively. All analytes showed average recoveries in the 98.5-100.3% range, with relative standard deviations (RSDs, n = 6) of less than 4.0%. The developed method is convenient, enriches effectively, and shows good applications prospects for separating and analyzing components in Chinese herbal medicines.

An early prediction model for gestational diabetes mellitus based on genetic variants and clinical characteristics in China.

OBJECTIVES: To evaluate the influence of genetic variants and clinical characteristics on the risk of gestational diabetes mellitus (GDM) and to construct and verify a prediction model of GDM in early pregnancy. METHODS: Four hundred seventy five women with GDM and 487 women without, as a control, were included to construct the prediction model of GDM in early pregnancy. Both groups had complete genotyping results and clinical data. They were randomly divided into a trial cohort (70%) and a test cohort (30%). Then, the model validation cohort, including 985 pregnant women, was used for the external validation of the GDM early pregnancy prediction model. RESULTS: We found maternal age, gravidity, parity, BMI and family history of diabetes were significantly associated with GDM (OR > 1; P < 0.001), and assisted reproduction was a critical risk factor for GDM (OR = 1.553, P = 0.055). MTNR1B rs10830963, C2CD4A/B rs1436953 and rs7172432, CMIP rs16955379 were significantly correlated with the incidence of GDM (AOR > 1, P < 0.05). Therefore, these four genetic susceptible single nucleotide polymorphisms (SNPs) and six clinical characteristics were included in the construction of the GDM early pregnancy prediction model. In the trial cohort, a predictive model of GDM in early pregnancy was constructed, in which genetic risk score was independently associated with GDM (AOR = 2.061, P < 0.001) and was the most effective predictor with the exception of family history of diabetes. The ROC-AUC of the prediction model was 0.727 (95% CI 0.690-0.765), and the sensitivity and specificity were 69.9% and 64.0%, respectively. The predictive power was also verified in the test cohort and the validation cohort. CONCLUSIONS: Based on the genetic variants and clinical characteristics, this study developed and verified the early pregnancy prediction model of GDM. This model can help screen out the population at high-risk for GDM in early pregnancy, and lifestyle interventions can be performed for them in a timely manner in early pregnancy.

Relationship between changes of high-density lipoprotein cholesterol levels in advanced pregnancy and the risk of neonatal small for gestational age in healthy full-term puerpera.

OBJECTIVE: To explore the relationship between changes in blood high-density lipoprotein cholesterol (HDL-C) levels in advanced pregnancy and the risk of small for gestational age (SGA) in healthy full-term pregnant women. METHODS: In this retrospective nested case-control study, pregnant women who got antenatal visits and experienced a healthy full-term delivery in Affiliated Women's Hospital, Zhejiang University School of Medicine in 2017 were enrolled. From the cohort, 249 women delivered SGA infants with completed clinical data were set as SGA group, 996 women who delivered normal neonates were randomly selected as matched controls (1∶4). The data of baseline characteristics, the HDL-C levels in 24 th-27 th week and after 37 th week were collected, the average HDL-C changes every four weeks in the third trimester (ΔHDL-C) were calculated. Paired t test was used to compare the differences of HDL-C and ΔHDL-C between cases and controls, and a conditional logistic regression model was applied to analyze the association between ΔHDL-C and the risk of SGA. RESULTS: HDL-C levels after the 37 th week in both groups were lower than those in mid-pregnancy (ΔHDL-C<0 and P<0.05 for both groups), while the ΔHDL-C levels in SGA group were significantly higher ( P<0.05). Compared with women with low ΔHDL-C, the risk of SGA was higher for women with middle and high ΔHDL-C ( OR=1.74, 95% CI：1.22-2.50; OR=2.48, 95% CI：1.65-3.70, both P<0.05). CONCLUSION: In healthy full-term pregnant women, the risk of SGA is associated with the HDL-C changing trend, HDL-C level decreasing slowly or even raising in the third trimester indicate that SGA may be likely to occur.

Comparison of the effectiveness and pregnancy outcomes of labor induction with dinoprostone or single-balloon catheter in term nulliparous women with borderline oligohydramnios.

BACKGROUNDS: At present, there is no consensus on the induction methods in term pregnancy with borderline oligohydramnios. This study aimed to compare the effectiveness and pregnancy outcomes of labor induction with dinoprostone or single-balloon catheter (SBC) in term nulliparous women with borderline oligohydramnios. METHODS: We conducted a retrospective cohort study from January 2016 to November 2018. During the study period, a total of 244 cases were enrolled. Of these, 103 cases were selected for induction using dinoprostone and 141 cases were selected for induction with SBC. The pregnancy outcomes between the two groups were compared. Primary outcomes were successful vaginal delivery rates. Secondary outcomes were maternal and neonatal adverse events. Multivariate logistic regression was used to assess the risk factors for vaginal delivery failure in the two groups. RESULTS: The successful vaginal delivery rates were similar between the dinoprostone group and the SBC group (64.1% [66/103] vs. 59.6%, [84/141] P = 0.475), even after adjustment for potential confounding factors (adjusted odds ratio [aOR]: 1.07, 95% confidence interval [CI]: 0.57-2.00, P = 0.835). The incidence of intra-amniotic infection was lower in the dinoprostone group than in the SBC group (1.9% [2/103] vs. 7.8%, [11/141] P < 0.001), but the presence of non-reassuring fetal heart rate was higher in the dinoprostone group than in the SBC group (12.6% [13/103] vs. 0.7%, [1/141] P < 0.001). Multivariate logistic regression showed that nuchal cord was a risk factor for vaginal delivery failure after induction with dinoprostone (aOR: 6.71, 95% CI: 1.96-22.95). There were three factors related to vaginal delivery failure after induction with SBC, namely gestational age (aOR: 1.51, 95% CI: 1.07-2.14), body mass index (BMI) >30 kg/m2 (aOR: 2.98, 95% CI: 1.10-8.02), and fetal weight >3500 g (aOR: 2.49, 95% CI: 1.12-5.50). CONCLUSIONS: Term nulliparous women with borderline oligohydramnios have similar successful vaginal delivery rates after induction with dinoprostone or SBC, with their advantages and disadvantages. In women with nuchal cord, the risk of vaginal delivery failure is increased if dinoprostone is used in the induction of labor. BMI >30 kg/m2, large gestational age, and estimated fetal weight >3500 g are risk factors for vaginal delivery failure after induction with SBC.

Secretory lipid transfer protein OsLTPL94 acts as a target of EAT1 and is required for rice pollen wall development.

The plant pollen wall protects the male gametophyte from various biotic and abiotic stresses. The formation of a unique pollen wall structure and elaborate exine pattern is a well-organized process, which needs coordination between reproductive cells and the neighboring somatic cells. However, molecular mechanisms underlying this process remain largely unknown. Here, we report a rice male-sterile mutant (l94) that exhibits defective pollen exine patterning and abnormal tapetal cell development. MutMap and knockout analyses demonstrated that the causal gene encodes a type-G non-specific lipid transfer protein (OsLTPL94). Histological and cellular analyses established that OsLTPL94 is strongly expressed in the developing microspores and tapetal cells, and its protein is secreted to the plasma membrane. The l94 mutation impeded the secretory ability of OsLTPL94 protein. Further in vivo and in vitro investigations supported the hypothesis that ETERNAL TAPETUM 1 (EAT1), a basic helix-loop-helix transcription factor (bHLH TF), activated OsLTPL94 expression through direct binding to the E-box motif of the OsLTPL94 promoter, which was supported by the positive correlation between the expression of EAT1 and OsLTPL94 in two independent eat1 mutants. Our findings suggest that the secretory OsLTPL94 plays a key role in the coordinated development of tapetum and microspores with the regulation of EAT1.

Efficient synthesis of 2-phenylethanol from L-phenylalanine by engineered Bacillus licheniformis using molasses as carbon source.

2-Phenylethanol is a valuable flavoring agent with many applications. Although the bioproduction of 2-phenylethanol has been achieved by microbial fermentation, the low titer and high cost hinder its industrial-scale production. The goal of this study is to develop an efficient process for high-level production of 2-phenylethanol from L-phenylalanine. Firstly, candidate hosts for 2-phenylethanol synthesis were screened by evaluating their tolerance to 2-phenylethanol, and Bacillus licheniformis DW2 was proven to be a promising strain for 2-phenylethanol production. Subsequently, phenylpyruvate decarboxylase and alcohol dehydrogenase from different hosts were screened, and the combination of KivD from Lactococcus lactis and YqhD from Escherichia coli owned the best performance on 2-phenylethanol synthesis, and the attained strain DE4 produced 3.04 g/L 2-phenylethanol from 5.00 g/L L-phenylalanine using glucose as carbon source. Furthermore, the fermentation process was optimized using molasses as carbon source, and 2-phenylethanol titer was increased to 4.41 g/L. In fed-batch fermentation, the maximum 2-phenylethanol titer reached 5.16 g/L, with a yield of 0.65 g/g on L-phenylalanine and productivity of 0.12 g/(L.h), which was the highest 2-phenylethnol titer reported to date when molasses was used as carbon source. Collectively, this study develops a robust strain as well as the cost-efficient process for 2-phenylethanol production, which lays a substantial foundation for industrial production of 2-phenylethanol. Key points •Bacillus licheniformis is an excellent 2-PE stress-tolerant strain. •Coexpressed kivD and yqhD is most suitable for 2-PE production in B. licheniformis. •High-level production of 2-PE (5.16 g/L) was obtained by engineered strain DE4.

Risk factors of persistent cesarean scar pregnancy after dilation and curettage: a matched case-control study.

OBJECTIVES: To investigate the risk factors of persistent cesarean scar pregnancy (PCSP) after dilation and curettage (D&C). MATERIALS AND METHODS: A retrospective, age-matched case-control study including 45 cases of PCSP patients after D&C was conducted between January 2013 and April 2018. For each case, 4 women who had been diagnosed with CSP and had the same age and same hospitalization period as the case group but no residual CSP tissue after D&C were selected as the controls (Control group, n = 180). Conditional logistic regression analysis was used to assess the risk factors of PCSP after D&C. RESULTS: After conditional logistic regression, the 3 factors associated with PCSP after D&C were maximum diameter of CSP mass (or gestational sac) ≥4.5 cm (adjusted odds ratio [aOR] 6.51, 95% CI 1.39-30.47), myometrial thickness at the implantation site <2 mm (aOR 3.58, 95% CI 1.37-9.38) and a ≤66.42% decrease rate in ß-hCG levels on the first day after D&C (aOR 18.58, 95% CI 5.80-59.57). ROC analysis showed that the indicator [(hCG0-hCG1)/hCG0*100%] has a good predictive value for PCSP, and the area under the curve (AUC) is 0.745; when the cut-off value is equal to 66.42%, the indicator has the best predictive value, with a sensitivity of 82.2% and a specificity of 67.7%. CONCLUSIONS: For these high-risk patients with PCSP, choosing individualized treatment options and proper management could reduce the incidence of PCSP.

Chemerin-induced macrophages pyroptosis in fetal brain tissue leads to cognitive disorder in offspring of diabetic dams.

BACKGROUND: Chemerin is highly expressed in the serum, placenta tissue, and umbilical cord blood of diabetic mother; however, the impact of chemerin on cognitive disorders of offspring from mothers with diabetes in pregnancy remains unclear. METHODS: A diabetic phenotype in pregnant mice dams was induced by streptozocin (STZ) injection or intraperitoneal injection of chemerin. Behavioral changes in offspring of diabetic dams and nondiabetic controls were assessed, and changes in chemerin, two receptors of chemerin [chemerin receptor 23 (ChemR23) and chemokine (C-C motif) receptor-like 2 (CCRL2)], macrophages, and neurons in the brain tissue were studied to reveal the underlying mechanism of the behavioral changes. RESULTS: Chemerin treatment mimicked the STZ-induced symptom of maternal diabetes in mice along with the altered behavior of offspring in the open field test (OFT) assay. In the exploring process for potential mechanism, the brain tissues of offspring from chemerin-treated dams were observed with an increase level of macrophage infiltration and a decrease number of neuron cells. Moreover, an increased level of NOD-like receptor family pyrin domain containing 3 (NLRP3) and apoptosis-associated speck-like (Asc) protein as well as pyroptosis [characterized by increased active caspase-1 content and secretion of cytokines such as interleukin (IL) 1 beta (IL-1ß) and IL-18] more activated in macrophages is also observed in the brain of these diabetic dam's offspring, in the presence of ChemR23. In vitro, it was found that pyroptosis activation was increased in macrophages separated from the abdominal cavity of normal mice, after chemerin treatment. However, depletion of CCRL2 decreased the level of chemerin in the brain tissues of diabetic dams' offspring; depletion of ChemR23 decreased macrophage pyroptosis, and depletion of either receptor reversed chemerin-mediated neurodevelopmental deficits and cognitive impairment of offspring of diabetic pregnant dams. CONCLUSIONS: Chemerin induced diabetic pregnant disease and CCRL2 were required to enrich chemerin in the brain of offspring. Aggregation of chemerin could lead to macrophage recruitment, activation of pyroptosis, the release of inflammatory cytokines, a decrease in the number of neurons, and cognitive impairment in offspring in a ChemR23-dependent manner. Targeting CCRL2 and/or ChemR23 could be useful for treating neuropsychological deficits in offspring of dams with diabetes in pregnancy.

Second-trimester maternal lipid profiles predict pregnancy complications in an age-dependent manner.

PURPOSE: Our objective was to investigate the combinatorial effect of maternal age and second-trimester maternal lipid profiles for pregnancy complications. METHODS: With 1:4 matching, this retrospective study selected 499 advanced maternal age women and 1996 younger controls. Logistic regression analysis was used to estimate the correlation between second-trimester lipid profiles [total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C)] and pregnancy complications [gestational diabetes mellitus (GDM), pregnancy-induced hypertension syndrome (PIH), preterm labor (PTL), and macrosomia]. Optimal cutoff points were determined by ROC curve analysis. RESULTS: In women aged 20-34 years, TG are a risk factor for PIH (OR 1.54, 95% CI 1.16-2.04) and PTL (OR 1.34, 95% CI 1.04-1.72). LDL-C was positively associated with macrosomia (OR 1.25, 95% CI 1.04-1.50), while HDL-C was negatively associated with PIH (OR 0.45, 95% CI 0.21-0.93). The optimal cutoff points for TG predicting PIH and PTL were separately ≥ 2.135 and 2.305 mmol/L. The optimal cutoff point for HDL-C identifying PIH was ≤ 1.995 mmol/L and for LDL-C identifying macrosomia was ≥ 3.425 mmol/L. As for advanced maternal age, only TG was an independent risk factor for PIH (OR 1.60, 95% CI 1.01-2.54), and its optimal cutoff point was ≥ 2.375 mmol/L. CONCLUSIONS: Second-trimester lipid profiles might predict pregnancy complications varied by maternal age. This suggested that individualized prenatal care strategies should be established for women with advanced and normal maternal age to prevent pregnancy complications.

The photoionization dynamics based on molecular pre-orientation.

We study theoretically the photoionization dynamics of pre-oriented NaK molecule. Firstly, a THz laser pulse is utilized to orient the ground state molecule. And then the pump and probe laser pulses are used to excite and ionize the molecule, respectively. We study the influence of molecular orientation duration and degree on the ionization probability, angle-resolved photoelectron spectrum and photoelectron angular distribution (PAD). It is shown that we could obtain more stable ionization signal and PAD when the molecules are ionized in molecular orientation duration. We could increase the ionization probability and obtain more concentrated ionization signal and photoelectron distribution by increasing the orientation degree in the ground state. Moreover, we discuss the splitting pattern in the angle-resolved photoelectron spectrum.

[Failure Analysis of Metal Bone Plate].

The internal fixation using metal bone plate is one of common method for the clinical treatment of fracture, it plays a role in fixation, protection and supporting of the fractured bone segments, but it also suffers high failure rates in clinical practice. This article reviewed the commonly used methods of failure analysis of bone plate, and described the research results of the failure analysis of bone plate in detail. The fatigue fracture of bone plate caused by stress concentration is the common fracture pattern. In addition, the article summarized the performance optimizations according to the cause of failure, then discussed its future development trends.