Metabolic-dysfunction-associated steatotic liver disease (MASLD) has emerged as a significant public health concern, attributed to its increasing prevalence and correlation with metabolic disorders, including obesity and type 2 diabetes. Recent research has highlighted that mitochondrial dysfunction can result in the accumulation of lipids in non-adipose tissues, as well as increased oxidative stress and inflammation. These factors are crucial in advancing the progression of MASLD. Despite advances in the understanding of MASLD pathophysiology, challenges remain in identifying effective therapeutic strategies targeting mitochondrial dysfunction. This review aims to consolidate current knowledge on how mitochondrial imbalance affects the development and progression of MASLD, while addressing existing research gaps and potential avenues for future research. This review was conducted after a systematic search of comprehensive academic databases such as PubMed, Embase, and Web of Science to gather information on mitochondrial dysfunction as well as mitochondrial-based treatments for MASLD.

In this study, a pH-responsive controlled-release mesoporous silica nanoparticle (MSN) formulation was developed. The MSNs were functionalized with a histidine (His)-tagged targeting peptide (B3int) through an amide bond, and loaded with an anticancer drug (cisplatin (CP)) and a lysosomal destabilization mediator (chloroquine (CQ)). Cu²⁺ was then used to seal the pores of the MSNs via chelation with the His-tag. The resultant nanoparticles showed pH-responsive drug release, and could effectively target tumor cells via the targeting effect of B3int. The presence of CP and Cu²⁺ permits reactive oxygen species to be generated inside cells; thus, the chemotherapeutic effect of CP is augmented by chemodynamic therapy. In vitro and in vivo experiments showed that the nanoparticles are able to effectively kill tumor cells. An in vivo cancer model revealed that the nanoparticles increase apoptosis in tumor cells, and thereby diminish the tumor volume. No off-target toxicity was noted. It thus appears that the functionalized MSNs developed in this work have great potential for targeted, synergistic anticancer therapies.

The liver circadian clock coordinates hepatic lipid metabolism, bile acid synthesis, and glucose homeostasis through interlocking transcription–translation feedback loops. Disruption of this temporal organization is increasingly recognized as a shared pathological feature across the chronic liver disease spectrum. Transcriptomic profiling alone cannot capture the full scope of circadian dysregulation. Approximately half of rhythmically abundant hepatic proteins lack correspondingly rhythmic mRNAs. Roughly 25% of hepatic phosphosites oscillate with a 24-h period. Integrating transcriptomics, proteomics, post-translational modification profiling, metabolomics, and emerging single-cell and spatial approaches is therefore necessary for an accurate account of how circadian programs are remodeled in disease. This narrative review delineates the multi-omics landscape of circadian clock dysregulation across six chronic liver disease categories. These encompass metabolic dysfunction-associated fatty liver disease (MAFLD), alcoholic liver disease (ALD), viral hepatitis, hepatocellular carcinoma (HCC), liver fibrosis, and cholestatic disease. Four molecular features recur across these contexts. BMAL1 functional downregulation, REV-ERBα oscillatory output attenuation, NAD⁺ oscillatory amplitude reduction, and gut–liver axis circadian desynchronization together constitute an inferential framework for hepatic circadian failure. These features represent recurring disease-associated motifs rather than an established pan-disease mechanism. The upstream mechanisms and evidence depth differ substantially by disease category. Oncogenic kinase-driven CLOCK post-translational modifications in HCC, phosphoproteomic remodeling in MAFLD, and epigenomic clock disruption persisting after HCV clearance represent findings that transcriptomics alone would not resolve. The near-complete absence of temporally resolved human tissue data remains the principal barrier to translational progress. This evidence gap limits the clinical actionability of current mechanistic findings across all disease categories. Circadian phase inference algorithms and prospective temporally designed cohort studies offer a methodologically grounded path toward clinically actionable circadian hepatology.