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.

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.

Australia produces over 31 million tonnes of food waste each year, creating serious challenges for both the environment and the economy. Researchers at the University of New South Wales and their international partners have reviewed how converting food waste into biochar, a carbon-rich material produced by heating organic matter without oxygen—could help tackle the country’s waste crisis while improving soil fertility and fighting climate change.

Researchers at Osaka Metropolitan University uncovered early hepatic changes associated with type 2 diabetes by analyzing primary hepatocytes from prediabetic Otsuka Long-Evans Tokushima Fatty rats.

An update in the New England Journal of Medicine has shown that transcatheter arterialization of the deep veins using the LimFlow System is a reliable and long-lasting therapy helping patients with chronic limb-threatening ischemia avoid amputation.

Titled “A comparison of integration methods for single‐cell RNA sequencing data and ATAC sequencing data”, this paper provides a timely and in-depth analysis of the rapidly evolving field of single-cell multi-omics integration (Figure 1). As technologies advance to profile multiple molecular layers—such as gene expression and chromatin accessibility—researchers face increasing challenges in harmonizing and interpreting complex datasets.

The review dissects the computational workflows, strengths, limitations, and future directions of both technologies. It emphasizes that bulk RNA-seq remains the most cost-effective and robust method for analyzing gene expression across large sample sizes—ideal for clinical cohorts, agricultural populations, and time-series studies. In contrast, scRNA-seq offers unprecedented resolution, enabling scientists to uncover cellular heterogeneity, identify rare cell types, and trace developmental trajectories at the single-cell level.