Associations between maternal serum neonicotinoid pesticide exposure during pregnancy and newborn telomere length: Effect modification by sampling season.

BACKGROUND: An increasing amount of evidence suggests that telomere length (TL) at birth can predict lifespan and is associated with chronic diseases later in life, but newborn TL may be affected by environmental pollutants. Neonicotinoids (NEOs) are widely used worldwide, and despite an increasing number of studies showing that they may have adverse effects on birth in mammals and even humans, few studies have examined the effect of NEO exposure on newborn TLs. OBJECTIVE: To investigate the effects of prenatal exposure to NEOs and the interactions between NEOs and sampling season on newborn TL. METHODS: We conducted a prospective cohort study of 500 mother-newborn pairs from the Guangxi Zhuang Birth Cohort. Ultraperformance liquid chromatographymass spectrometry was used to detect ten NEOs in maternal serum, and fluorescence quantitative PCR was used to estimate the newborn TL. A generalized linear model (GLM) was used to evaluate the relationships between individual NEO exposures and TLs , and quantile g-computation (Qgcomp) model and Bayesian kernel machine regression (BKMR) model were used to evaluate the combined effect of mixtures of components. RESULTS: The results of the GLM showed that compared with maternal TMX levels < LOD, maternal TMX levels < median were negatively correlated with newborn TL (-6.93%, 95% CI%: -11.92%, -1.66%), and the decrease in newborn TL was more pronounced in girls (-9.60%, 95% CI: -16.84%, -1.72%). Moreover, different kinds of maternal NEO exposure had different effects on newborn TL in different sampling seasons, and the effect was statistically significant in all seasons except in autumn. Mixed exposure analysis revealed a potential positive trend between NEOs and newborn TL, but the association was not statistically significant. CONCLUSION: Prenatal exposure to TMX may shorten newborn TL, and this effect is more pronounced among female newborns. Furthermore, the relationship between NEO exposure and TL may be modified by the sampling season.

Design and Optimization of Multi-Stage TMR Sensors for Power Equipment AC/DC Leakage Current Detection.

Tunnel magnetoresistance (TMR) can measure weak magnetic fields and has significant advantages for use in alternating current/direct current (AC/DC) leakage current sensors for power equipment; however, TMR current sensors are easily perturbed by external magnetic fields, and their measurement accuracy and measurement stability are limited in complex engineering application environments. To enhance the TMR sensor measurement performance, this paper proposes a new multi-stage TMR weak AC/DC sensor structure with high measurement sensitivity and anti-magnetic interference capability. The front-end magnetic measurement characteristics and interference immunity of the multi-stage TMR sensor are found to be closely related to the multi-stage ring size design via finite element simulation. The optimal size of the multipole magnetic ring is determined using an improved non-dominated ranking genetic algorithm (ACGWO-BP-NSGA-II) to derive the optimal sensor structure. Experimental results demonstrate that the newly designed multi-stage TMR current sensor has a measurement range of 60 mA, a fitting nonlinearity error of less than 1%, a measurement bandwidth of 0-80 kHz, a minimum AC measurement value of 85 µA and a minimum DC measurement value of 50 µA, as well as a strong external electromagnetic interference. The TMR sensor can effectively enhance measurement precision and stability in the presence of intense external electromagnetic interference.

Maternal exposure to neonicotinoid insecticides and fetal growth restriction: A nested case-control study in the guangxi Zhuang birth cohort.

BACKGROUND: Fetal growth restriction (FGR) is a major determinant of perinatal morbidity and mortality, with adverse long-term neurocognitive effects in childhood and adulthood. Prenatal exposure to environmental pollutants has been reported to be associated with FGR. Neonicotinoids (NEOs) are extensively used insecticides worldwide and are suggested to have embryonic and developmental neurotoxicity. However, the effects of NEOs exposure on FGR is unknown. OBJECTIVES: We aimed to quantify the single and combined associations of maternal exposure to NEOs and FGR. METHODS: We conducted a nested case-control study based on the Guangxi Zhuang Birth Cohort, China. A total of 387 with FGR cases and 1096 without- FGR controls were included between 2015 and 2018. Ten NEOs were measured by UPLC-MS from the maternal blood samples were pre-collected in the first trimester. After adjusting for potential confounders, multivariable logistic regressions, weighted quantile sum regression and quantile g-computation were performed for individual and NEOs mixtures. RESULTS: In the individual exposure models, each 1-standard deviation increment of the natural-log in dinotefuran and acetamiprid concentrations were significantly associated with odds ratios of 1.93 (95% CI: 1.69, 2.20) and 1.31 (95% CI: 1.07, 1.59) higher odds of FGR, respectively. However, the FGR risk was negatively associated with thiacloprid, sulfoxaflor, and nitenpyram (OR = 0.23, 95%CI: 0.15, 0.34; OR = 0.48, 95%CI: 0.41, 0.56; OR = 0.86, 95%CI: 0.80, 0.93; respectively). Similar findings were found in the combined exposure analysis. Dinotefuran was the most strongly attributable to increase FGR, while sulfoxaflor and thiacloprid contributed the highest negative weighted on FGR. Furthermore, each quintile increase in all ten NEOs exposures was associated with FGR (OR = 0.21, 95% CI: 0.08, 0.54). CONCLUSION: Our findings suggest that maternal single and combined exposures to NEOs were associated with varying FGR risks. They contribute to the mounting evidence on serum NEOs exposure impact on FGR. However, a replication of these associations in other populations is warranted.

Research on Field Source Characteristics of Leakage Current of Arrester Based on TMR Sensor.

The status of zinc oxide (ZnO) arresters is directly related to the safety of power grids. However, as the service life of ZnO arresters increases, their insulation performance may decrease due to factors such as operating voltage and humidity, which can be identified through the measurement of leakage current. Tunnel magnetoresistance (TMR) sensors with high sensitivity, good temperature stability, and small size are excellent for measuring leakage current. This paper constructs a simulation model of the arrester and investigates the deployment of the TMR current sensor and the size of the magnetic concentrating ring. The arrester's leakage current magnetic field distribution under different operating conditions is simulated. The simulation model can aid in optimizing the detection of leakage current in arresters using TMR current sensors, and the findings serve as a basis for monitoring the condition of arresters and improving the installation of current sensors. The TMR current sensor design offers potential advantages such as high accuracy, miniaturization, and ease of distributed application measurement, making it suitable for large-scale use. Finally, the validity of the simulations and conclusions is verified through experiments.

Associations of bisphenol exposure with thyroid hormones in pregnant women: a prospective birth cohort study in China.

Bisphenols are endocrine disruptor chemicals that disrupt thyroid hormone homeostasis. However, evidence on the effects of bisphenol mixtures on thyroid hormones are insufficient. Therefore, the present study aimed to explore the effects of bisphenol substitutes and bisphenol mixtures on thyroid hormones during pregnancy. The study was conducted among 446 pregnant women in the Guangxi Zhuang Birth Cohort (GZBC), China. In multiple linear regressions, compared with the low-exposure group, bisphenol S (BPS) concentrations in the middle-exposure group led to a 10.90% (95% CI: - 18.16%, - 2.99%) decrease in triiodothyronine (T3) levels in the first trimester; tetrabromobisphenol A (TBBPA) levels in the middle-exposure group led to an 8.26% (95% CI: - 15.82%, - 0.01%) decrease in T3 levels in the first trimester; bisphenol B (BPB) levels in the middle-exposure group led to higher free thyroxine (FT4) levels (9.84%; 95% CI: 1.73%, 18.60%) in the second trimester; bisphenol F (BPF) in the middle-exposure group led to higher FT4 levels (8.59%, 95% CI: 0.53%, 17.31%) in the second trimester; and TBBPA levels in the high-exposure group led to a 9.39% (95% CI: 1.46%, 17.93%) increase in FT4 levels in the second trimester. The Bayesian kernel machine regression (BKMR) and restricted cubic spline (RCS) models showed a U-shaped dose-response relationship between bisphenol A (BPA) and free triiodothyronine (FT3) (p < 0.01) as well as BPS and FT4 (p < 0.05). Nonlinear relationships were also observed between the bisphenol mixture and FT3. Overall, maternal bisphenol exposure affected thyroid hormone levels during pregnancy. This study provides evidence that BPB, BPF, BPS, and TBBPA are unsafe substitutes for BPA, as well as the overall effect of bisphenols on adverse health in human beings.

[Research and clinical application of new type instrument for measuring artery elastic function].

According to the pulse-wave theory, the authors developed a new non-invasive instrument for measuring arterial elastic function. It collects the pulse waveforms from the arteries of four limbs as well as from the radial arteries of carpus. After signal pre-processing, it calculates the arterial elastic parameters by the pre-prepared algorithm and program. Individual parameters such as pulse wave velocity (PWV), ankle-brachial index (ABI), systolic blood pressure (SBP), diastolic blood pressure (DBP) and heart rate (HR)can be obtained. At the same time, a series of clinical trials were conducted with reference to PWV and ABI, which confirmed the validity, accuracy and reliability of the instrument. The instrument can be used to determine the differences between cardiovascular patients and normal persons, as well as the extent of atherosclerosis. At the same time it can reflect the situation of vascular obstruction and screen the peripheral arterial disease. Therefore, it is of some value to the epidemiological study, prevention and early detection of cardiovascular disease.

Study on Correlative Dimension of HRV Signals and Its Clinical Applications.

In this paper an advanced algorithm based on G-P algorithm is introduced to calculate the Correlative Dimension (CD) of HRV signals. Moreover, Theiler's Correction is considered to avoid the autocorrelation effect of the time serials. It will reduce the possibility to get spurious dimension. The algorithm is applied to clinical HRV data which are collected from twelve young healthy subjects under two conditions: 1) normal state; 2) autonomic nervous system (ANS) being blocked by certain acute selective blocking drug: Atropine or Metoprolol. The result sufficiently shows that the values of CD decrease after blockade, whether Atropine or Metoprolol, is given to the subjects. The reason is that these two kinds of autonomic blocking drug lead to ANS dysfunction. Then the complexity of the heart system decreases. So we can draw a conclusion that the CD value of HRV signals can reflex the complexity of the heart system and the state of ANS.

Noninvasive measurement and evaluation of arterial stiffness.

For the purpose of measurement and evaluation of arterial stiffness, we design a noninvasive medical device based on the oscillometric method and the pulse wave velocity (PWV) method, and employ arterial stiffness index (ASI) and PWV as accessing parameters. The inner pressure signal of cuff on the upper arm and the pulse wave signal at the tip of finger will be sampled, and the special software can utilize these signals to calculate two accessing parameters and obtain the evaluation conclusion of arterial stiffness. The clinical experiments show that this medical device and evaluation method are effective and valuable.