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Biomolecules

Biomolecules is an international, peer-reviewed, open access journal on structures and functions of bioactive and biogenic substances, molecular mechanisms with biological and medical implications as well as biomaterials and their applications, published monthly online by MDPI.

Indexed in PubMed | Quartile Ranking JCR - Q1 (Biochemistry and Molecular Biology)

All Articles (12,507)

Vascular remodeling is a characteristic pathological feature of various vascular diseases, including atherosclerosis, restenosis following vascular injury, hypertension, and aneurysms. The phenotypic switching of vascular smooth muscle cells (VSMCs) acts as a key driver of vascular remodeling. Under specific pathological stimuli, VSMCs rapidly transition from a contractile to a dedifferentiated phenotype, characterized by enhanced proliferation, migration, and secretory activity. Chromatin remodeling, a core mechanism of epigenetic regulation, orchestrates dynamic changes in chromatin structure and function through ATP-dependent remodeling complexes, histone-modifying enzymes, and DNA methyltransferases. These components collectively translate mechanical stress, metabolic disturbances, and inflammatory signals into reversible epigenetic modifications, thereby precisely regulating VSMC phenotypic switching. As such, chromatin remodeling represents a critical node for therapeutic intervention in vascular remodeling-related diseases. In recent years, a growing body of research has focused on the role of chromatin remodelers in regulating VSMC phenotype. In this review, we focus on the roles of ATP-dependent chromatin-remodeling factors and chromatin-modifying enzymes in the control of gene expression of VSMC phenotype switching. Firstly, we summarize the latest insights into chromatin remodeling and VSMC phenotypic switching, and then discuss recent advances in the identification and functional characterization of chromatin remodeling molecules, emphasizing their implications for VSMC behavior. Finally, we highlight the translational potential of targeting chromatin remodelers in the development of clinical therapies for vascular remodeling diseases and outline future directions for research in this field.

7 February 2026

Classification and mechanisms of major chromatin remodelers. (A) Chromatin remodeling is fundamentally dependent on ATP-dependent chromatin-remodeling complexes, histone-modifying enzymes, and DNA methylation. Mammalian ATP-dependent chromatin-remodeling complexes are classified into four major groups: SWI/SNF, ISWI, CHD, and INO80. By harnessing the energy released from ATP hydrolysis, they induce structural rearrangements in chromatin. SWI/SNF maintains regulatory regions in an open state by sliding, ejecting, or reorganizing nucleosomes. ISWI and CHD are structurally similar. ISWI senses linker DNA length to establish uniform nucleosome spacing and is essential for heterochromatin formation and genomic stability, whereas CHD recognizes diverse histone modifications, thereby recruiting or evicting specific proteins to modulate transcription. INO80 binds and translocates hexasomes to catalyze histone variant exchange, a process intimately linked to DNA replication, transcription, and repair. (B) Chromatin accessibility is also inseparable from covalent histone modifications and DNA methylation. Among the myriad of histone marks, methylation and acetylation are the most extensively characterized. The balanced state of these modifications is dynamically maintained by the concerted action of writers (that promote modification formation), readers (that recognize modification sites), and erasers (that remove or inhibit modification formation). Some representative enzymes are illustrated in the figure.

Molecular Health Effects of Electronic Cigarettes

  • Paweł Sutkowy,
  • Igor Hadryś and
  • Alina Woźniak
  • + 5 authors

Electronic cigarettes (e-cigarettes) have emerged as a prevalent substitute for conventional cigarettes, garnering perceptions of being a safer option for health. Nicotine addicts use e-cigarettes to cease smoking. These products have also become common among young people because of their taste, smell, and attractive appearance. However, accumulating experimental and clinical evidence indicates that e-cigarette use is not risk-free. The inhalation of e-cigarette aerosols exposes users and their non-using peers to a complex mixture of chemical compounds, including aldehydes, heavy metals, and flavoring agents, many of which possess pro-oxidative and pro-inflammatory properties. This review summarizes and critically analyzes current evidence on the molecular and cellular mechanisms underlying the biological effects of e-cigarette aerosols. Particular attention is given to excessive production of reactive oxygen species, mitochondrial dysfunction, DNA damage, and the activation of redox-sensitive signaling pathways, including NF-κB and NRF2. These molecular alterations may trigger acute and, with prolonged exposure, chronic oxidative stress and inflammation, which in turn can affect gene expression, protein function, and metabolic pathways. While molecular and experimental studies often demonstrate adverse biological responses to e-cigarette aerosols, the translation of these findings into long-term clinical outcomes remains an area of ongoing investigation.

7 February 2026

Electronic cigarettes. (A): open system; (B): closed system.

Human prostamide/prostaglandin F synthase (PGFS) catalyzes the NADPH-dependent conversion of prostaglandin H2 (PGH2) to prostaglandin F2α that plays a key role in regulating intraocular pressure and labor. Despite its physiological importance, structural and biochemical information of the human PGFS has been limited because of difficulties in obtaining sufficient quality of PGFS wild-type crystal and short half-life of PGH2. Here, we report the crystal structure of human PGFS with two active site mutations, C44S/C47S double mutant (DM), which mimics the reduced active form of the CXXC motif of human PGFS. Structural analysis revealed that PGFS DM adopts a typical thioredoxin (Trx)-like fold. Analysis of B-factors and MD simulations reveals that Tyr108–Asp124 is an intrinsically flexible region, devoid of any stabilizing crystal contacts. Unlike canonical Trx-like proteins, Pro167 in PGFS adopts a trans-conformation, inducing a specific Arg40 side chain localization that creates a positive charge near the CXXC motif. Activation of PGFS by reduction of disulfide bond in the CXXC motif enhanced the thermal stability via core stabilization, yet an unexpected increase in the structural disorder was detected with CD spectroscopy, especially upon ligand binding. These findings collectively establish PGFS as a structurally distinct and redox-regulated enzyme. Our results provide novel molecular insights into PGFS as an underexplored but promising therapeutic target.

7 February 2026

Catalytic mechanism of human prostamide/prostaglandin F synthase (PGFS). PGFS contains two cysteine residues (Cys44 and Cys47) in its active form (reduced state) that constitute the conserved CXXC motif. These residues play a key role in the conversion of prostaglandin H2 (PGH2) into prostaglandin F2α (PGF2α). During catalysis, PGH2 is reduced to form PGF2α, resulting the formation of disulfide bond between Cys44 and Cys45 of PGFS (oxidated or inactive state). NADPH acts as a cofactor for PGFS by reducing disulfide bond of the CXXC motif, thereby maintaining the enzyme in its catalytically active state.

Chemokine Receptor Profile of Circulating Leukocyte Subsets in Response to Acute High-Intensity Interval Training

  • Katharina Leuchte,
  • Sara Fresnillo Saló and
  • Gitte Holmen Olofsson
  • + 3 authors

Physically active individuals demonstrate enhanced immune competence. Efficient execution of effector function relies on chemokine receptor-regulated immune cell trafficking along chemokine gradients to sites of inflammation, infection, tumors, or tissue damage. This study investigates the impact of acute high-intensity interval training (HIIT) on chemokine receptor expression in leukocytes. Sixteen healthy participants completed a single HIIT session, and peripheral blood was collected before exercise (Bsl), immediately after (Ex02), and one hour later (Ex60). Surface expression of selected chemokine receptors was measured using flow cytometry on CD4+ T cells, γδ T cells, NK cells, and monocytes, followed by FlowSOM clustering. NK cells, CD4+ T cells, and γδ T cells were strongly mobilized at Ex02 and returned to or below baseline at Ex60. HIIT preferentially mobilized CX3CR1+ CXCR2+ CD56dim NK cells, CD4+ T cells expressing CX3CR1hi and CCR5+, and CX3CR1+ CD56+ γδ T cells, indicating mobilization of immune cells phenotypically associated with migratory and cytotoxic potential. Proportions of intermediate and non-classical monocytes increased at Ex02 and decreased at Ex60. In conclusion, HIIT induced a rapid redistribution of leukocyte subsets with chemokine receptor profiles suggesting enhanced endothelial interaction and migratory capacity toward effector tissues.

7 February 2026

HIIT-induced mobilization of CD56dim CX3CR1+CXCR2+ NK cells. (A) NK cell counts per µL of whole blood before (Bsl), immediately after (Ex02) and one hour after exercise (Ex60), using flow cytometric TBNK kit whole blood staining. (B–E) UMAP dimensionality reduction and FlowSOM unsupervised clustering were performed using a single integrated dataset comprising CD3−CD56+ cells from all participants and timepoints based on expression of CD56 and the chemokine receptors CCR5, CXCR2, CXCR6, CX3CR1, CCR2, and CXCR4. (B) UMAP visualization of the clusters identified via the FlowSOM clustering algorithm shown separately at Bsl, Ex02 and Ex60. (C) Heatmap showing the surface expression profiles across the five identified clusters. (D) UMAP overlaid with marker mean fluorescence intensity (MFI) of cells from all participants and timepoints. (E) Population frequency at Bsl, Ex02 and Ex60. Shown are individual values, and bar graphs show mean and SD. Percentage data were logit-transformed before being analyzed using repeated-measures ANOVA. Significance levels are indicated by asterisks on the graphs: * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001, **** p ≤ 0.0001. N = 16.

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Biomolecules - ISSN 2218-273X