Despite impressive progress being made in investigating the mechanisms underlying endometriosis, the pathophysiology of this disease remains unclear. Although typical methods used for diagnosing endometriosis such as ultrasound, magnetic resonance imaging, and blood tests are available, these are also inefficient, and effective noninvasive diagnostic methods are lacking. The advances in high-throughput omics techniques have enabled metabolomics to become an effective approach for discovering promising biomarkers. The aberrant metabolism associated with serious symptoms of endometriosis in women has been revealed in recent years. Analyzing the global metabolic patterns in patients with endometriosis may help deepen the understanding of the disease mechanism and have a significant impact on future diagnostic and treatment methods for endometriosis. Herein, we reviewed relevant studies on metabolic changes in patients with endometriosis and discussed the changes in metabolites both in biological fluids and endometriosis tissues. The findings discussed in this review have potential diagnostic implications and will enhance the understanding of the pathophysiological processes underlying the disease.

Carbon superstructures with multiscale hierarchies and functional attributes represent an appealing cathode candidate for zinc hybrid capacitors, but their tailor-made design to optimize the capacitive activity remains a confusing topic. Here we develop a hydrogen-bond-oriented interfacial super-assembly strategy to custom-tailor nanosheet-intertwined spherical carbon superstructures (SCSs) for Zn-ion storage with double-high capacitive activity and durability. Tetrachlorobenzoquinone (H-bond acceptor) and dimethylbenzidine (H-bond donator) can interact to form organic nanosheet modules, which are sequentially assembled, orientally compacted and densified into well-orchestrated superstructures through multiple H-bonds (N–H···O). Featured with rich surface-active heterodiatomic motifs, more exposed nanoporous channels, and successive charge migration paths, SCSs cathode promises high accessibility of built-in zincophilic sites and rapid ion diffusion with low energy barriers (3.3 Ω s^−0.5). Consequently, the assembled Zn||SCSs capacitor harvests all-round improvement in Zn-ion storage metrics, including high energy density (166 Wh kg⁻¹), high-rate performance (172 mAh g⁻¹ at 20 A ^g−1), and long-lasting cycling lifespan (95.5% capacity retention after 500,000 cycles). An opposite charge-carrier storage mechanism is rationalized for SCSs cathode to maximize spatial capacitive charge storage, involving high-kinetics physical Zn²⁺/CF₃SO₃⁻ adsorption and chemical Zn²⁺ redox with carbonyl/pyridine groups. This work gives insights into H-bond-guided interfacial super-assembly design of superstructural carbons toward advanced energy storage.

Numerous studies have consistently demonstrated that a considerable proportion of patients with major depressive disorder (MDD) frequently exhibit pronounced dyslipidaemia. However, the causal dynamics between MDD and dyslipidaemia remain elusive. To comprehensively disentangle the genetic causality between MDD and various phenotypes of blood lipids, thereby facilitating the advancement of management strategies for these conditions.

Antenatal anxiety (AA) is a common mental disorder during pregnancy and adversely affects the well-being of both pregnant women and their offspring. The prevalence of AA is exceptionally high in the first trimester, yet there is a lack of studies focusing exclusively on AA in the first trimester. This study aimed to investigate the prevalence and risk factors of AA among Chinese pregnant women during the first trimester.

Biomarkers for predicting suicide risk in hospitalised patients with mental disorders have been understudied. Currently, suicide risk assessment tools based on objective indicators are limited in China. To examine the value of various biomarkers in suicide risk prediction and develop a risk assessment model with clinical utility using machine learning.

A recent review article published in Molecular Biomedicine highlights that a comprehensive understanding of reactive oxygen species (ROS) homeostasis is opening new avenues for therapeutic innovation. The review begins with the core principles and molecular mechanisms that govern ROS generation, scavenging, and organelle crosstalk, and then systematically elaborates how ROS dynamics influence cellular metabolism, growth, differentiation, and programmed cell death. It critically assesses how disruption of ROS homeostasis contributes to the pathogenesis of diverse diseases across the lifespan and synthesizes current and emerging strategies for modulating ROS levels. Emphasizing the need to resolve challenges of specificity and context-dependence, the authors call for the development of precise biomarkers and the exploration of combination approaches—such as pairing ROS modulators with immunotherapy or metabolic agents—to enhance efficacy. By framing ROS as both indispensable signaling mediators and potential toxins, the review argues that targeted modulation of ROS homeostasis could reshape future precision medicine, while urging more translational studies to validate and optimize these strategies for clinical use.

How does 3D printing precisely control battery stress?

In International Journal of Extreme Manufacturing, Wei Yuan and coworkers from South China University of Technology introduce a new manufacturing method for gel polymer electrolytes (GPEs) using digital light processing (DLP) 3D printing. This technique allows precise control over the structure of GPEs through layer-by-layer curing. It improves the uniformity of microscopic pores and macroscopic dimensions, which helps regulate interfacial stress effectively. This study offers a practical strategy to enhance the stability of the anode-electrolyte interface (AEI), contributing to zinc batteries with longer cycle lives.