Showing papers by "Bing Zhang published in 2022"

circVAMP3 Drives CAPRIN1 Phase Separation and Inhibits Hepatocellular Carcinoma by Suppressing c‐Myc Translation

Abstract: Previous studies have identified the regulatory roles of circular RNAs (circRNAs) in human cancers. However, the molecular mechanisms of circRNAs in hepatocellular carcinoma (HCC) remain largely unknown. This study screens the expression profile of circRNAs in HCC and identifies circVAMP3 as a significantly downregulated circRNA in HCC tissues. HCC patients with low circVAMP3 expression present poor prognosis. circVAMP3 negatively regulates the proliferation and metastasis of HCC cells in vitro and in vivo by driving phase separation of CAPRIN1 and promoting stress granule formation in cells, which can downregulate the protein level of Myc proto‐oncogene protein by inhibiting c‐Myc translation. Furthermore, circVAMP3 is widely expressed in many human tissues and is downregulated in related cancers. Therefore, circVAMP3 is a potential prognostic indicator for HCC and may serve as a therapeutic target for HCC treatment.

Changes to gut amino acid transporters and microbiome associated with increased E/I ratio in Chd8+/− mouse model of ASD-like behavior

Abstract: Autism spectrum disorder (ASD), a group of neurodevelopmental disorders characterized by social communication deficits and stereotyped behaviors, may be associated with changes to the gut microbiota. However, how gut commensal bacteria modulate brain function in ASD remains unclear. Here, we used chromodomain helicase DNA-binding protein 8 (CHD8) haploinsufficient mice as a model of ASD to elucidate the pathways through which the host and gut microbiota interact with each other. We found that increased levels of amino acid transporters in the intestines of the mouse model of ASD contribute to the high level of serum glutamine and the increased excitation/inhibition (E/I) ratio in the brain. In addition, elevated α-defensin levels in the haploinsufficient mice resulted in dysregulation of the gut microbiota characterized by a reduced abundance of Bacteroides. Furthermore, supplementation with Bacteroides uniformis improved the ASD-like behaviors and restored the E/I ratio in the brain by decreasing intestinal amino acid transport and the serum glutamine levels. Our study demonstrates associations between changes in the gut microbiota and amino acid transporters, and ASD-like behavioral and electrophysiology phenotypes, in a mouse model.

Intermittent Fasting Improves High-Fat Diet-Induced Obesity Cardiomyopathy via Alleviating Lipid Deposition and Apoptosis and Decreasing m6A Methylation in the Heart

Abstract: Intermittent fasting (IF) plays an essential role in improving lipid metabolism disorders caused by metabolic cardiomyopathy. Growing evidence revealed that N6-methyladenosine (m6A) RNA methylation is related to obesity and lipid metabolic. Our study aimed to assess the beneficial effects of IF on lipid deposition, apoptosis, and m6A methylation in high-fat diet (HFD)-induced obesity cardiomyopathy. Male C57BL/6J mice were fed a normal diet (ND) or HFD ad libitum for 13 weeks, after which time a subgroup of HFD mice were subjected to IF for 24 h and fed HFD in the other day for 8 weeks. We found that IF intervention significantly improved cardiac functional and structural impairment and serum lipid metabolic disorder induced by HFD. Furthermore, IF intervention decreased the mRNA levels of the fatty acid uptake genes of FABP1, FATP1, and CD36 and the fatty acid synthesis genes of SREBF1, FAS, and ACCα and increased the mRNA levels of the fatty acid catabolism genes of ATGL, HSL, LAL, and LPL in cardiac tissueof HFD-induced obese mice. TUNEL-positive cells, Bax/Bcl-2 ratio, and Cleaved Caspase-3 protein expression in HFD-induced obese mice hearts was down-regulated by IF intervention. In addition, IF intervention decreased the m6A methylation levels and METTL3 expression and increased FTO expression in HFD-induced obesity cardiomyopathy. In conclusion, our findings demonstrate that IF attenuated cardiac lipid deposition and apoptosis, as well as improved cardiac functional and structural impairment in HFD-induced obesity cardiomyopathy, by a mechanism associated with decreased m6A RNA methylation levels.

A novel peptide protects against diet-induced obesity by suppressing appetite and modulating the gut microbiota

Abstract: Objective The obesity epidemic and its metabolic complications continue to be a major global public health threat with limited effective treatments, especially drugs that can be taken orally. Peptides are a promising class of molecules that have gained increased interest for their applications in medicine and biotechnology. In this study, we focused on looking for peptides that can be administrated orally to treat obesity and exploring its mechanisms. Design Here, a 9-amino-acid peptide named D3 was designed and administered orally to germ-free (GF) mice and wild-type (WT) mice, rats and macaques. The effects of D3 on body weight and other basal metabolic parameters were evaluated. The effects of D3 on gut microbiota were evaluated using 16S rRNA amplicon sequencing. To identify and confirm the mechanisms of D3, transcriptome analysis of ileum and molecular approaches on three animal models were performed. Results A significant body weight reduction was observed both in WT (12%) and GF (9%) mice treated with D3. D3 ameliorated leptin resistance and upregulated the expression of uroguanylin (UGN), which suppresses appetite via the UGN-GUCY2C endocrine axis. Similar effects were also found in diet-induced obese rat and macaque models. Furthermore, the abundance of intestinal Akkermansia muciniphila increased about 100 times through the IFNγ-Irgm1 axis after D3 treatment, which may further inhibit fat absorption by downregulating Cd36. Conclusion Our results indicated that D3 is a novel drug candidate for counteracting diet-induced obesity as a non-toxic and bioactive peptide. Targeting the UGN-GUCY2C endocrine axis may represent a therapeutic strategy for the treatment of obesity.

Arsenic Exposure, Blood DNA Methylation, and Cardiovascular Disease

Abstract: Background: Epigenetic dysregulation has been proposed as a key mechanism for arsenic-related cardiovascular disease (CVD). We evaluated differentially methylated positions (DMPs) as potential mediators on the association between arsenic and CVD. Methods: Blood DNA methylation was measured in 2321 participants (mean age 56.2, 58.6% women) of the Strong Heart Study, a prospective cohort of American Indians. Urinary arsenic species were measured using high-performance liquid chromatography coupled to inductively coupled plasma mass spectrometry. We identified DMPs that are potential mediators between arsenic and CVD. In a cross-species analysis, we compared those DMPs with differential liver DNA methylation following early-life arsenic exposure in the apoE knockout (apoE−/−) mouse model of atherosclerosis. Results: A total of 20 and 13 DMPs were potential mediators for CVD incidence and mortality, respectively, several of them annotated to genes related to diabetes. Eleven of these DMPs were similarly associated with incident CVD in 3 diverse prospective cohorts (Framingham Heart Study, Women’s Health Initiative, and Multi-Ethnic Study of Atherosclerosis). In the mouse model, differentially methylated regions in 20 of those genes and DMPs in 10 genes were associated with arsenic. Conclusions: Differential DNA methylation might be part of the biological link between arsenic and CVD. The gene functions suggest that diabetes might represent a relevant mechanism for arsenic-related cardiovascular risk in populations with a high burden of diabetes.

Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design

Abstract: Abstract The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults comprising 14 established United States (US) prospective cohort studies. Starting as early as 1971, C4R cohorts have collected data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R links this pre-COVID phenotyping to information on SARS-CoV-2 infection and acute and post-acute COVID-related illness. C4R is largely population-based, has an age range of 18–108 years, and reflects the racial, ethnic, socioeconomic, and geographic diversity of the US. C4R ascertains SARS-CoV-2 infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations, and high-quality events surveillance. Extensive pre-pandemic data minimize referral, survival, and recall bias. Data are harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these will be pooled and shared widely to expedite collaboration and scientific findings. This resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including post-acute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term trajectories of health.

Urinary Zinc and Incident Type 2 Diabetes: Prospective Evidence From the Strong Heart Study.

Abstract: OBJECTIVE Hyperglycemia can increase urinary zinc excretion. We evaluated the association of higher urinary zinc level with new diagnosis of incident type 2 diabetes mellitus (T2DM) in adult populations with a high burden of T2DM from AZ, OK, and ND and SD. We also assessed the cross-sectional association of urinary zinc levels with prevalent prediabetes. RESEARCH DESIGN AND METHODS We included 1,339 adults free of T2DM at baseline (1989-1991) followed through 1998-1999 in the Strong Heart Study (SHS) and 1,905 family members of SHS participants followed as part of the Strong Heart Family Study (SHFS) through 2006-2009. RESULTS T2DM incidence was 14.7% (mean follow-up 6.6 years) in the SHS and 13.5% (mean follow-up 5.6 years) in the SHFS. After adjustment for sex, site, education, smoking status, BMI, and estimated glomerular filtration rate, the hazard ratio of T2DM in comparing 75th vs. 25th percentiles of urinary zinc distribution was 1.21 (95% CI 1.08, 1.36) in the SHS and 1.12 (0.96, 1.31) in the SHFS. These associations were attenuated but significant in the SHS after adjustment for HOMA of insulin resistance (HOMA-IR) score. With exclusion of participants with prediabetes at baseline, urinary zinc remained significantly associated with T2DM in the SHS. In cross-sectional analyses, prediabetes was associated with higher urinary zinc levels. CONCLUSIONS Urinary zinc levels were associated with T2DM incidence and prediabetes prevalence even after adjustment for HOMA-IR in populations with a high burden of T2DM. These results highlight the importance of zinc metabolism in diabetes development.

Deformation behavior and microstructural evolution of pure Ti produced by hot compressing

Abstract: As a component layer of layered composites, pure Ti renders the advantages of high specific strength, low density, low elastic modulus, high-temperature corrosion resistance and excellent biocompatibility. Accordingly, it has broad application prospects in the field of layered composites. In order to study the hot deformation behavior and microstructural evolution of pure Ti during roll bonding processing, hot compression tests were carried out at temperatures of 550–700 °C and strain rates of 0.01–10 s−1 with a true strain of 0.91 on the Gleeble-3500 thermal simulation machine. Arrhenius constitutive model was used to predict the flow behavior of pure Ti, and the correlation coefficient between the experimental and predicted values reached 0.92313. Based on the hot processing maps, it was found that the peak efficiency of power dissipation (η) region occurs at 650–700 °C/0.01–0.02 s−1. At a strain of 0.9, the optimal processing region is found to be 650–680 °C/0.01–0.015 s−1 with the power dissipation value about 0.59–0.62. At high temperature/low strain rate (650 °C/0.01 s−1), the dynamic recrystallization (DRX) phenomenon is obvious in pure Ti. With the increase of strain rate or the decrease of temperature, the discontinuous dynamic recrystallization (DDRX) nucleates at the original grain boundary in the form of grain boundary bow out, and gradually grows by consuming the original deformed grains, forming a typical “necklace” structure.

Subclinical atherosclerosis in adolescents and young adults and the risk of cardiovascular disease: The Strong Heart Family Study (SHFS).

Abstract: Rates of cardiovascular disease (CVD) among American Indians (AI) have been increasing. Although we have observed an association between atherosclerosis and CVD in older adults, the potential association among young AI is unclear. Therefore, we aim to describe the prevalence of atherosclerosis among young AI and determine its association with CVD and all-cause mortality.We evaluated AI participants from the Strong Heart Family Study (SHFS), who were <40 years old and CVD free at the baseline examination, 2001-2003 (n = 1376). We used carotid ultrasound to detect baseline atherosclerotic plaque. We identified CVD events and all-cause mortality through 2019, with a median follow-up of 17.8 years. We used shared frailty Cox Proportional Hazards models to assess the association between atherosclerosis and time to CVD event or all-cause mortality, while controlling for covariates. Among 1376 participants, 71 (5.2%) had atherosclerosis at baseline. During follow-up, 120 (8.7%) had CVD events and 104 (7.6%) died from any cause. CVD incidence was higher in participants who had baseline atherosclerosis (13.51/1000 person-years) than in those who did not (4.95/1000 person-years, p = 0.0003). CVD risk and all-cause mortality were higher in participants with atherosclerosis, while controlling for covariates (CVD HR = 1.85, 95%CI = 1.02-3.37, p = 0.0420; all-cause mortality HR = 2.04, 95%CI = 1.07-3.89, p = 0.0291).Among young AI, atherosclerosis was independently associated with incident CVD and all-cause mortality later in life. Thus, atherosclerosis begins early in life and interventions in adolescents and young adults to slow the progression of disease could prevent or delay CVD events later in life.

Trifluorothymine interlayer reduces the degradation of perovskite and controls the crack of hole transport layer

Abstract: Construction of a powerful molecular interlayer is beneficial to the enhancement of both efficiency and stability of perovskite solar cells. We herein disclose that low-cost trifluorothymine with Lewis acid and...

Variational multi-harmonic mode extraction for characterising impulse envelope of bearing failures.

Abstract: The envelope shape of a failure-induced impulse response reflects the strike procedure of the bearing failure area and provides information on the size and contour of the defective area. Because the impulse envelope is a broad-bandwidth component severely affected by in-band noise, it is difficult to separate from the vibration signals. To eliminate the in-band noise and obtain diagnostic information from the full-band envelope, a novel method, called variational multi-harmonic mode extraction (VMHME), is proposed to extract the impulse envelope component and characterise the envelope shape. First, a multi-harmonic mode function (MHMF) is constructed to define a harmonic assembly, which is generally has a broad-bandwidth property, but each harmonic is narrow-bandwidth. A variational model is then established to optimally decompose the mode with explicit MHMF from the analysed signal. Only one specific mode is extracted at a time and adopted to efficiently satisfy the demand for failure-induced impulse envelope extraction. Essentially, VMHME provides an optimal band-pass filter bank just with a local narrow bandwidth at failure characteristic harmonics. Utilising​ the narrow-bandwidth harmonic assembly eliminates the in-band noise, whereas the failure characteristics in the envelope shape are retained The effectiveness of the proposed method was verified using both simulated and experimental bearing failure signals. The results prove that VMHME can make in-depth use of the envelope shape information for bearing failure diagnosis.

An Accurate Calculation of the Atmospheric Refraction Error of Optical Remote Sensing Images Based on the Fine-Layered Light Vector Method

Abstract: Atmospheric refraction is an important factor that affects the positioning accuracy of optical high-resolution satellite imaging. Current calculation methods do not consider regional change characteristics in the atmosphere; the atmospheric division model is rough and does not conform to reality. This article studies atmospheric refraction in optical remote sensing satellite observations, provides a formula for calculating the strict refraction of a multilayer atmosphere, and shows a new method for calculating atmospheric refraction error. We use a ray-tracing method to calculate the light propagation path in the atmosphere and continuously layer the atmosphere according to the height difference of 100 m. Different from general calculation methods, we prove that a regional atmospheric model can calculate the atmospheric refraction index more accurately than using the empirical model. As the off-nadir angle gradually increases, the calculation results in this article are better than the current commonly used methods. We use WorldView-2 images of the Qinghai–Tibet Plateau region in China for the experiments. When the off-nadir angle is less than 32°, the positioning accuracy improves by 6–47%. Compared with the standard atmospheric model, the regional atmospheric model improves positioning accuracy by 2–18%. This method reflects the continuous variation in the atmospheric refractive index with the vertical distribution of the atmosphere and amended regional meteorological conditions. Model errors caused by overly simple atmospheric division are avoided, andthe positioning accuracy of optical remote sensing images is increased.

Drivers of microbial beta-diversity in wastewater treatment plants in China

Abstract: As one of the most well-documented biogeographic patterns, the distance-decay relationship provides insights into the underlying mechanisms driving biodiversity distribution. Although wastewater treatment plants (WWTPs) are well-controlled engineered ecosystems, this pattern has been seen among microbial communities in activated sludge (AS). However, little is known about the relative importance of environmental heterogeneity and dispersal limitation in shaping AS microbial community across China; especially they are related to spatial scale and organism types. Here, we assessed the distance-decay relationship based on different spatial scales and microbial phylogenetic groups by analyzing 132 activated sludge (AS) samples across China comprising 3,379,200 16S rRNA sequences. Our results indicated that the drivers of distance-decay pattern in China were scale-dependent. Microbial biogeographic patterns in WWTPs were mainly driven by dispersal limitation at both local and national scales. In contrast, conductivity, SRT, and pH played dominant roles in shaping AS microbial community compositions at the regional scale. Turnover rates and the drivers of beta-diversity also varied with microorganism populations. Moreover, a quantitative relationship between dispersal limitation ratio and AS microbial turnover rate was generated. Collectively, these results highlighted the importance of considering multiple spatial scales and micro-organism types for understanding microbial biogeography in WWTPs and provided new insights into predicting variations in AS community structure in response to environmental disturbance.

Maternal and neonatal viromes indicate the risk of offspring's gastrointestinal tract exposure to pathogenic viruses of vaginal origin during delivery

Abstract: A cumulative effect of enterovirus and gluten intake on the risk of celiac disease autoimmunity in infants highlights the significance of viral exposure in early life on the health of children. However, pathogenic viruses may be transmitted to the offspring in an earlier period, raising the possibility that women whose vaginas are inhabited by such viruses may have had their babies infected as early as the time of delivery. A high-resolution intergenerational virome atlas was obtained by metagenomic sequencing and virome analysis on 486 samples from six body sites of 99 mother–neonate pairs. We found that neonates had less diverse oral and enteric viruses than mothers. Vaginally delivered newborns seconds after birth had a more similar oral virome and more viruses of vaginal origin than cesarean-section (C-section) newborns (56.9% vs. 5.8%). Such viruses include both Lactobacillus phage and potentially pathogenic viruses, such as herpesvirus, vaccinia virus, and hepacivirus, illustrating a relatively high variety of the pioneer viral taxa at the time of delivery and a delivery-dependent mother-to-neonate transmission along the vaginal–oral–intestinal route. Neonates are exposed to vaginal viruses as they pass through the reproductive tract, and viruses of vaginal origin may threaten their health. These findings challenge the conventional notion that vaginal delivery is definitely better than cesarean delivery from the perspective of microbial transmission. Screening for vaginal virome before delivery is a worthwhile step to advocate in normal labor to eliminate the risk of intergenerational transmission of pathogenic viruses to offspring.

An integrated approach of a field‐circuit coupling model and multi‐physics finite‐element simulation for analysing transient electromagnetic vibration of pump motors

Abstract: We propose a method to investigate the generation mechanism of the transient vibration of a pump motor induced by electromagnetic (electromagnetic (EM)) forces. Compared with the steady vibration of a pump motor, the transient vibration characterised by a wider excitation frequency spectrum and larger instantaneous amplitude makes the vulnerable structure more easily exposed to potential damage. However, transient vibration of pump motor has not been analysed and verified before. Based on the fact that EM vibration dominates the vibration of pump motors, in this study, an approach which integrates the field-circuit coupling method and multi-physics finite-element (finite-element (FE)) simulation is proposed to estimate the structural response of pump motors under transient operating conditions. To determine the factors that determine the EM forces, an analytical model describing the transient interaction between the EM and the fluid torque is first created. It was revealed that the input voltage and slip rate are two key factors that affect the transient EM forces. Then, to quantitatively describe the transient EM forces governed by a specific control scheme during the start-up process, a field–circuit coupling model embedding in the control scheme, electrical circuit model, motor FE model, and rotor dynamic model is established. This model allows the circuit equations, rotor dynamics equations, and magnetic field equations to be solved simultaneously. The transient EM forces obtained by the field–circuit coupling model provide excitation for the structural response calculation. Subsequently, a multi-physics FE simulation, which takes a weak coupling strategy between the EM and structural dynamics fields, is utilised to link the different physical domains. Thus, the EM forces are transferred to a structural domain to compute the structural response by adopting a direct integration method. The integration approach developed in this study was verified on the pump motors in the main cooling units of ultra-high voltage (UHV) converter stations. The trends of dominant components of simulated signals agree with the measured signals from the pump motors. This indicates that the proposed method can be widely applied for the transient vibration analysis and mitigation for pump motors.

An Extremely Streamlined Macronuclear Genome in the Free-Living Protozoan Fabrea salina

Abstract: Abstract Ciliated protists are among the oldest unicellular organisms with a heterotrophic lifestyle and share a common ancestor with Plantae. Unlike any other eukaryotes, there are two distinct nuclei in ciliates with separate germline and somatic cell functions. Here, we assembled a near-complete macronuclear genome of Fabrea salina, which belongs to one of the oldest clades of ciliates. Its extremely minimized genome (18.35 Mb) is the smallest among all free-living heterotrophic eukaryotes and exhibits typical streamlined genomic features, including high gene density, tiny introns, and shrinkage of gene paralogs. Gene families involved in hypersaline stress resistance, DNA replication proteins, and mitochondrial biogenesis are expanded, and the accumulation of phosphatidic acid may play an important role in resistance to high osmotic pressure. We further investigated the morphological and transcriptomic changes in the macronucleus during sexual reproduction and highlighted the potential contribution of macronuclear residuals to this process. We believe that the minimized genome generated in this study provides novel insights into the genome streamlining theory and will be an ideal model to study the evolution of eukaryotic heterotrophs.

NRF2 Genetic Polymorphism Modifies the Association of Plasma Selenium Levels With Incident Coronary Heart Disease among Type 2 Diabetes Individuals.

Abstract: Existing studies found that both plasma selenium and NRF2 promoter variants (e.g., rs6721961) were associated with cardiovascular disease risk in the general population. However, epidemiological evidence on the interaction between plasma selenium and NRF2 genetic susceptibility in relation to incident coronary heart disease (CHD) risk remains scarce, especially among individuals with type 2 diabetes (T2D). Thus, we examined whether rs6721961 in the NRF2 gene might modify the association between plasma selenium levels and incident CHD risk among T2D. During a mean (SD) follow-up period of 6.90 (2.96) years, 798 incident CHD cases were identified in 2,251 T2D cases. Risk allele carriers (GT/TT) of rs6721961 showed a higher risk of incident CHD among T2D (adjusted HR = 1.17, 95% CI: 1.02-1.35) vs. non-risk allele carriers (GG). Each 22.8 μg/L increase in plasma selenium levels was associated with a reduced risk of incident CHD among T2D with risk allele (GT/TT; HR = 0.80, 95% CI: 0.71-0.89), whereas no association was found in those with non-risk allele (GG; Pinteraction = 0.004), indicating that NRF2 promoter polymorphism might modify the association between plasma selenium levels and incident CHD risk among T2D. Our study suggests that redox-related genetic variants should be considered to identify populations that might benefit most from selenium supplementation. Further mechanistic studies are warranted.

Clinical Biochemical Indicators and Intestinal Microbiota Testing Reveal the Influence of Reproductive Age Extending from the Mother to the Offspring

Abstract: In this study, we demonstrated that physiological indicators and the gut microbiome fluctuate drastically among parturients of different reproductive ages and that there is a significant correlation between the two changes. Mothers of different ages had different gut microbes, and the gut microbiota varied as the childbearing age became too high. ABSTRACT Age is an important factor that determines the physiological functions of the human body, but the changes in maternal physiology, biochemistry, and intestinal flora related to reproductive age and their impact on offspring are not clear. Here, we tested and analyzed the clinical physiological and biochemical indicators and/or intestinal flora, matching the data of 252 parturients and their newborns. We found that 4 clinical indicators, including the white blood cell count and the absolute value of monocytes, were significantly related to the reproductive age (P < 0.05). The composition of the intestinal flora also varied with age, and the intestinal flora of advanced-age women (≥35 years old) was different from that of middle-aged women (>25 and <35 years old). We also found that changes in maternal clinical physiological and biochemical indicators related to reproductive age could reflect changes in the abundance of bacteria, such as Peptococcus and Vibrio, and changes in the intestinal flora spread to offspring. These results provide new evidence to explain the increased adverse pregnancy outcomes of mothers of inappropriate age, describe the increased health risks of newborns, help us examine the importance of age-appropriate birth from a broader perspective, and contribute to the discovery of mother-child bonds for a better understanding of healthy reproduction. IMPORTANCE In this study, we demonstrated that physiological indicators and the gut microbiome fluctuate drastically among parturients of different reproductive ages and that there is a significant correlation between the two changes. Mothers of different ages had different gut microbes, and the gut microbiota varied as the childbearing age became too high. Changes in the gut microbiome with maternal reproductive age affected the offspring, and the influence of reproductive age on the intestinal flora had a synergistic effect between mother and child that was revealed for the first time. The maternal childbearing age might affect the colonization of the offspring's initial flora. The results provide new evidence to explain the increased adverse pregnancy outcomes of mothers of inappropriate age, describe the increased health risks of newborns, and contribute to the discovery of mother-child bonds for a better understanding of healthy reproduction.

A Remotely Sensed Framework for Spatially-Detailed Dryland Soil Organic Matter Mapping: Coupled Cross-Wavelet Transform with Fractional Vegetation and Soil-Related Endmember Time Series

Abstract: Soil organic matter (SOM) plays pivotal roles in characterizing dryland structure and function; however, remotely sensed spatially-detailed SOM mapping in these regions remains a challenge. Various digital soil mapping approaches based on either single-period remote sensing or spectral indices in other ecosystems usually produce inaccurate, poorly constrained estimates of dryland SOM. Here, a framework for spatially-detailed SOM mapping was proposed based on cross-wavelet transform (XWT) that exploits ecologically meaningful features from intra-annual fractional vegetation and soil-related endmember records. In this framework, paired green vegetation (GV) and soil-related endmembers (i.e., dark surface (DA), saline land (SA), sand land (SL)) sequences were adopted to extract 30 XWT features in temporally and spatially continuous domains of cross-wavelet spectrum. We then selected representative features as exploratory covariates for SOM mapping, integrated with four state-of-the-art machine learning approaches, i.e., ridge regression (RR), least squares-support vector machines (LS-SVM), random forests (RF), and gradient boosted regression trees (GBRT). The results reported that SOM maps from 13 coupled filtered XWT features and four machine learning approaches were consistent with soil-landscape knowledge, as evidenced by a spatially-detailed gradient from oasis to barren. This framework also presented more accurate and reliable results than arithmetically averaged features of intra-annual endmembers and existing datasets. Among the four approaches, both RF and GBRT were more appropriate in the XWT-based framework, showing superior accuracy, robustness, and lower uncertainty. The XWT synthetically characterized soil fertility from the consecutive structure of intra-annual vegetation and soil-related endmember sequences. Therefore, the proposed framework improved the understanding of SOM and land degradation neutrality, potentially leading to more sustainable management of dryland systems.

Ten Years of VIIRS On-Orbit Geolocation Calibration and Performance

Abstract: The first innovative Visible Infrared Imaging Radiometer Suite (VIIRS) sensor aboard the Suomi National Polar-orbiting Partnership (SNPP) satellite has been in operation for 10 years since its launch on 28 October 2011. The second VIIRS sensor aboard the first Join Polar Satellite System (JPSS-1) satellite has been in operation for 4 years since its launch on 18 November 2017, which became NOAA-20. Well-geolocated and radiometrically calibrated Level-1 sensor data records (SDRs) from VIIRS are crucial to numerical weather prediction (NWP) and Level-2+ environmental data record (EDR) algorithms and products. The high quality of Level-2+ EDRs is a requirement for the continuity of NASA Earth science data records (ESDRs) and climate data records (CDRs), one of the two objectives of the SNPP mission and one of the three elements in the JPSS mission objective. The other objective of the SNPP mission is risk reduction for the follow-on JPSS missions. This paper summarizes the on-orbit geolocation calibration and validation (Cal/Val) activities for both VIIRS sensors onboard SNPP and NOAA-20 in the past 10 years. These activities include nominal geolocation Cal/Val activities, risk reduction activities, and improvements for the on-orbit VIIRS sensor operations. After these activities, sub-pixel geolocation accuracy is achieved. Nadir equivalent geolocation uncertainty is generally within 75 m (1-σ), or 20% imagery band pixels, in either the along-scan or along-track direction for both SNPP and NOAA-20 VIIRS sensors. The worst 16-day measured geolocation errors (radial, 3-σ) are 280 m and 267 m, respectively, in the latest SNPP and NOAA-20 VIIRS data collections, which are better than the required accuracy of 375 m (radial, 3-σ). The risk reduction activities also improved VIIRS builds for JPSS-3 and JPSS-4 satellites, and provide lessons learned for other VIIRS-like sensor builds.

An Analysis of the Responsibilities and Driving Factors for Embodied Carbon in Trade

Abstract: By adopting the consumption-based accounting (CBA) method of carbon emissions based on national carbon intensity (NCI), using the International Trade Centre (ITC) database, the Emissions Database for Global Atmospheric Research (EDGAR), and the World Bank database, and taking 13 countries and regions including the European Union (EU) countries and the United States (US) as research samples, this paper conducts an accounting of the embodied carbon in trade between China and other major economies in the world, clarifies the responsibilities China has taken for foreign consumption-based carbon emissions, and analyzes the various driving factors of China’s embodied carbon in exports. The findings are as follows: (i) Most of the developed economies have higher consumption-based emissions than production-based emissions, which is contrary to most of the developing economies, with developing countries bearing responsibilities for 15–20% of the consumption-based carbon emissions for developed countries; (ii) the carbon emissions of countries and regions are closely related to the embodied carbon in trade, with a correlation coefficient of 0.96. (iii) China has taken responsibility for a large amount of carbon emissions from foreign consumer demand, most of which are from the US, the EU, ASEAN, and Japan, respectively accounting for 3.8%, 3.5%, 2.3%, and 1.2% of China’s production-based carbon emissions in 2019; (iv) technique effect is the main driving factor for China’s embodied carbon in trade, while the specific driving factors vary by industry. Based on the above analysis, it is suggested that China should: (i) consider the trade factor in its efforts to achieve carbon peaking and carbon neutrality; (ii) adopt differentiated measures to reduce trade-related emissions for specific industries; (iii) fully consider China’s demand for carbon peaking and carbon neutrality in international negotiations; (iv) give more support to the research on and measurement of consumption-based carbon emissions.

Response characteristics of two typical shrubs in urban green space landscape to abnormal weather

Abstract: Abnormal weather, such as sudden cooling and rainfall, has various impacts on the environment and plants. Shrub, as the main component of green vegetation community in urban ecosystem, its response to abnormal weather affects the stability of green space community in urban ecosystem to a certain extent. Therefore, two typical shrubs (Euonymus japonicus Thunb. var., aurea-marginatus Hort., and Photinia serrulata) were selected to systematically study the variation characteristics of the physiological indicators (soluble protein, chlorophyll, malondialdehyde) under abnormal weather, which were widely distributed in urban green space landscape construction as the research objects . The results showed that the total chlorophyll content and chlorophyll a/b value of the two shrubs decreased significantly under abnormal weather, and the effect of cooling on the chlorophyll a in two shrubs was more obvious. The change characteristics of soluble protein content after abnormal weather had a relatively consistent regularity with temperature, but it had a hysteresis compared with the change of temperature. However, the response of malondialdehyde to abnormal weather is not obvious.

Abstract P040: Dyslipidemia And The Incidence Of Subclinical And Clinical Cardiovascular Disease In Adolescents And Young Adults: The Strong Heart Family Study (SHFS)

Abstract: Introduction: Dyslipidemia is characterized by high levels of total cholesterol (TC), LDL cholesterol (LDL-C), triglycerides (TG), or low levels of HDL cholesterol (HDL-C) and is an established risk factor for subclinical and clinical cardiovascular disease (CVD) among adults. Although several investigations exist in older American Indian (AI) adults, the data on AI adolescents and young adults are scarce. Hypothesis: Dyslipidemia will be prevalent, and the incidence of subclinical and clinical CVD will be higher in young AI with than without baseline dyslipidemia. Methods: We evaluated AI participants from the SHFS, who were 14-39 years old at the baseline examination, 2001-2003 (n=1,436). To measure lipids, we drew blood after a 12-hour fast and defined dyslipidemia as any of the following: TC ≥ 200 mg/dL, LDL-C ≥ 100 mg/dL, TG ≥ 150 mg/dL, HDL-C < 40 mg/dL for men, HDL-C < 50mg/dL for women, non-HDL-C ≥ 130 mg/dL or taking lipid lowering medication. We used carotid ultrasound to detect atherosclerotic plaque at baseline and at the follow-up examination, 2006-2009. We identified CVD events through 2019 with a median follow-up of 17.8 years. We used log-rank tests to determine if the incidence of plaque or CVD events differed according to different categories of dyslipidemia. Results: Prevalence of dyslipidemia was 42%, 65%, and 73% for participants <20, 20-29, and 30-39 years old, respectively. During follow-up, 109 (9.9%) participants had incident plaque (of 1,107 plaque free participants) and 128 (9%) had a fatal or non-fatal CVD event (of 1,424 CVD free participants). Plaque incidence was higher in participants with high TC, LDL-C, TG, non-HDL-C, and dyslipidemia at baseline. CVD incidence was higher for participants with high TC, TG, and non-HDL-C (Table 1). Conclusions: AI adolescents and young adults have an unexpectedly high prevalence of dyslipidemia, which leads to higher incident plaque and CVD events later in life. These data provide evidence for the benefits of lipid screening and intervention among this population.

Urinary Zinc and Incident Diabetes: Prospective Evidence from the Strong Heart Study

Abstract: Background and aim: Diabetes, a chronic metabolic condition, is a major risk factor for cardiovascular disease. Hyperglycaemia can increase zinc excretion due to its insulin-mimetic function. We aimed to assess the association between urinary zinc and incident diabetes in two populations with a high burden of diabetes from Arizona, Oklahoma, North Dakota and South Dakota. Methods: Baseline urinary zinc was measured using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) in 1,339 adults free of diabetes at baseline (1989-1991) and followed through 1998-1999 in the Strong Heart Study (SHS) and in 1,905 family members of SHS participants free of diabetes at baseline (1998-1999) followed as part of the Strong Heart Family Study (SHFS) through 2006-2009. Results: In the SHS, diabetes incidence was 14.7% (mean follow-up 6.6 years). Median urinary zinc was 0.46 mg/g and 0.50 mg/g for participants without and with diabetes, respectively. After adjustment for sex, site, education, smoking status, and BMI, the hazard ratio (HR) (95%CI) of diabetes comparing IQR percentiles of urinary zinc distribution was 1.21 (1.08, 1.36). In the SHFS, diabetes incidence was 13.5% (mean follow-up 5.6 years). Median urinary zinc was 0.59 and 0.65 for participants without and with diabetes, respectively. The HR(95%CI) in the SHFS was 1.12 (0.96, 1.31). These associations were attenuated in the SHS after adjustment for insulin levels, fasting glucose levels and HOMA-IR score. Excluding participants with prediabetes at baseline, the association of urinary zinc with incident diabetes remained significant in the SHS and suggestive for the SHFS. Conclusions: Baseline urinary zinc concentrations were associated with diabetes incidence even after adjustment for fasting plasma insulin and plasma glucose levels in adult populations with a high burden of diabetes. These results highlight the need for greater understanding of zinc metabolism in diabetes pathology and identify possible treatment approaches for diabetes prevention.

Development of Risk Prediction Model for Muscular Calf Vein Thrombosis with Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Abstract: Purpose This study aims to establish a risk prediction model for muscular calf vein thrombosis (MCVT) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods The research sample consisted of 248 patients with AECOPD and all of them underwent vascular ultrasounds of both lower limbs in this retrospective study. Univariate analysis and multivariate logistic regression analysis were conducted on factors with significant group differences to screen for the independent risk factors of MCVT. A nomogram to predict the risk of MCVT was constructed and validated with bootstrap resampling. Results According to the exclusion criteria, 240 patients were included for analysis, divided into the MCVT group (n = 81) and the non-MCVT group (n = 159). Multivariate logistic regression analyses showed that hypertension, elevated MPV, reduced albumin (ALB), elevated D-dimer and bed rest ≥3 days were independent risk factors for MCVT in AECOPD. A nomogram model for predicting AECOPD with MCVT was established based on them. The area under the curve (AUC) of receiver operating characteristic (ROC) curve for the prediction model and the simplified Wells score was 0.784 (95% CI: 0.722–0.847) and 0.659 (95% CI: 0.583–0.735), respectively. The cut-off value and Youden index of prediction model were 0.248 and 0.454, respectively. At the same time, the sensitivity, specificity, positive predictive value, and negative predictive value of the prediction model were 85.9%, 59.5%, 84.6%, and 77.4%, respectively. The sensitivity and specificity of the simplified Wells score were 67.9% and 56.3%, respectively. Validation by the use of bootstrap resampling revealed optimal discrimination and calibration, and the decision analysis curve (DAC) suggested that this prediction model involved high clinical practicability. Conclusion We developed a nomogram that can predict the risk of MCVT for AECOPD patients. This model has the potential to assist clinicians in making treatment recommendations and formulating corresponding prevention measures.