Lu Wang

Sep 2, 2024 | nature.com | Lu Wang |Yujie Zhang |Caihong Wang |Yayuan Chen |Qian Qian |Nannan Zhang | +9 more

Depression, a widespread and highly heritable mental health condition, profoundly affects millions of individuals worldwide. Neuroimaging studies have consistently revealed volumetric abnormalities in subcortical structures associated with depression. However, the genetic underpinnings shared between depression and subcortical volumes remain inadequately understood. Here, we investigate the extent of polygenic overlap using the bivariate causal mixture model (MiXeR), leveraging summary statistics from the largest genome-wide association studies for depression (N = 674,452) and 14 subcortical volumetric phenotypes (N = 33,224). Additionally, we identify shared genomic loci through conditional/conjunctional FDR analyses. MiXeR shows that subcortical volumetric traits share a substantial proportion of genetic variants with depression, with 44 distinct shared loci identified by subsequent conjunctional FDR analysis. These shared loci are predominantly located in intronic regions (58.7%) and non-coding RNA intronic regions (25.4%). The 269 protein-coding genes mapped by these shared loci exhibit specific developmental trajectories, with the expression level of 55 genes linked to both depression and subcortical volumes, and 30 genes linked to cognitive abilities and behavioral symptoms. These findings highlight a shared genetic architecture between depression and subcortical volumetric phenotypes, enriching our understanding of the neurobiological underpinnings of depression. Depression affects millions of people worldwide. Here, the authors show a substantial polygenic overlap between depression and brain subcortical volumes, identifying 44 shared loci.

Aug 6, 2024 | pubs.rsc.org | Huimin Wang |Lu Wang |Tao Wang |Ming Shen

Multifunctional Si3N4 nanobrick metasurface for sensing A metasurface composed of Si3N4 with a lower refractive index can result in more electromagnetic energy leaking into the surrounding environment compared with other dielectric materials, which is beneficial for sensing applications. However, the research on Si3N4 metasurfaces in the sensing field remains relatively scarce to date.

Jul 4, 2024 | onlinelibrary.wiley.com | Yonggang Wei |Lu Wang |Yi Tang |Junyue Su

Corresponding Author Yonggang Wei Chongqing Early Childhood Education Quality Monitoring and Evaluation Research Center, Chongqing Normal University, Chongqing, China Correspondence Yonggang Wei, Chongqing Early Childhood Education Quality Monitoring and Evaluation Research Center, Chongqing Normal University, No. 37 Middle Road, University Town, Gaoxin District, Chongqing 401331, China.

Jun 29, 2024 | scijournals.onlinelibrary.wiley.com | Yuning Gong |Lanyue Zhang |Jiahuan He |Baiyu Liu |Lu Wang |Yuhui Ao | +2 more

Supporting Information Filename Description pi6639-sup-0001-supinfo.docxWord 2007 document , 569.5 KB Data S1. Supporting Information. REFERENCES 1, , , , , et al., Chemosphere 311:137061 (2023). 2, , , , , et al., Macromolecules 55: 595–607 (2022). 3, and , Polym Sci D 8: 257–260 (2015). 4, , and , Prog Polym Sci 38: 1357–1387 (2013). 5, , and , React Funct Polym 165:104965 (2021). 6, , , , , et al., Chem Eng J 451:137823 (2023).

Jun 20, 2024 | nature.com | Jianping Gu |Yi Li |Jingke Hong |Lu Wang

As global climate change becomes increasingly severe, energy technology innovation has become a key means of coping with the climate crisis and realizing green and low-carbon development. However, existing literature rarely examines the effects of carbon emission reduction policies based on the perspective of energy technology progress for both short-term economic fluctuations and long-term equilibrium. This paper introduces the fossil energy technology sector and the renewable energy technology sector into the dynamic stochastic general equilibrium (DSGE) model, and compares the effectiveness of the carbon emission cap policy, the fossil energy technology subsidy policy, and the renewable energy technology subsidy policy under the framework of China’s carbon trading market in promoting macroeconomic growth and controlling pollutant emissions. We found that in long-term, the emission reduction effect of the carbon emission cap policy falls short of the other two policies, and subsidizing fossil fuel technologies is more cost-efficient comparatively. The government expenditure shock can all stimulate macroeconomic growth with crowding out of private investment and household consumption, whereas the energy technology research productivity shock leads to a decline in total output and an increase in renewable energy technology demand. In addition, pollutant emissions are pro-cyclical under the impact of total carbon policies and counter-cyclical under the impact of energy technology subsidy policies. This article constructs a multi-technology sectoral dynamic stochastic general equilibrium model, expanding the research perspective and theoretical framework for evaluating carbon emission reduction policies. At the same time, it proves the importance of the government to implement the phased energy technology subsidy policy while implementing the carbon emission cap policy, which provides important enlightenment for the implementation and adjustment of carbon emission reduction policy.