Search bioRxiv⌕ Search

Biology subjects

Lammers, T.

Publications and source records attributed to Lammers, T..

7 recordsLinked to original sources

Lipid nanoparticle shape and morphology determine the magnitude and duration of mRNA transfection

Lipid nanoparticles (LNP) are widely used for nucleic acid delivery, with current optimization efforts mainly focusing on refining formulation features, enabling extrahepatic targeting, and improving therapeutic efficacy. Particle shape and internal architecture are variables often overlooked in LNP design, although they critically influence particle stability, biodistribution, cellular uptake, and transfection. Here, we investigate how formulation and process parameters impact LNP shape, morphology, and internal structure, and how these structural features, in turn, influence mRNA loading, cell uptake, and expression. We demonstrate that modulation of lipid composition by increasing DSPC content drives a transition from compact spherical to vesicular non-spherical morphologies, with altered RNA loading at the single-particle level. While non-spherical LNP exhibited higher cellular uptake than spherical LNP, it was identified that this increase was relatively modest compared with the substantially higher and sustained protein expression for non-spherical structures. This suggests that increased uptake alone cannot explain the enhanced transfection performance. The trend was conserved across LNP formulations comprising clinically relevant ionizable lipids SM-102, ALC-0315 and DLin-MC3-DMA. Taken together, these findings establish LNP shape and internal morphology as functionally relevant design variables that should be considered in the design of next-generation LNP with improved mRNA delivery and expression.

pharmacology and toxicology↗

Nanoparticle size governs engagement with myeloid cells and hitchhiking to hematopoietic organs in myeloproliferative neoplasms

Nanoparticle design principles contribute to desirable in vivo performance, including prolonged circulation, desirable biodistribution profiles, and tuned interactions with the immune system. The importance of these variables, although well-established in solid tumors, remains elusive in the context of hematological malignancies. Here, we investigated the influence of liposome size on biodistribution and cellular uptake within hematopoietic compartments - bone marrow (BM) and spleen - in JAK2V617F myeloproliferative neoplasms (MPN). A milli-fluidic manufacturing platform combined with a Design-of-Experiments (DoE) approach was used to generate small, medium, and large liposomes. Liposome uptake was assessed ex vivo using blood samples from healthy donors and MPN patients, followed by in vivo biodistribution studies in a transgenic JAK2V617F MPN mouse model. Organ-level accumulation was quantified using hybrid fluorescence / computed tomography (FLT/CT) imaging, while cellular uptake was evaluated via flow cytometry. Whole-body imaging revealed that increasing liposome size enhanced delivery to both the spleen and BM, with larger liposomes exhibiting the highest accumulation in both organs. Cellular analysis corroborated the in vivo observations, demonstrating that large liposomes are taken up to a greater extent by monocytes and granulocytes, in both spleen and BM. At late time-points post-injection, the liposomal accumulation was twice as high in the BM in comparison to the spleen and peripheral blood, highlighting the progressively elevated accumulation and retention in the BM, as opposed to the elimination phase nanoparticles undergo in clearance organs and circulation at these time-points. Of note, among BM mature myeloid cells, neutrophils were associated with a higher nanoparticle uptake than monocytes, highlighting their capability to phagocytose material in circulation and hitchhike it to malignant or inflamed regions. These findings demonstrate that continuous flow manufacturing procedures can swiftly produce nanoparticles with desirable characteristics that are essential for tuning the biodistribution towards hematopoietic organs and myeloid immune cells. By providing mechanistic insights into nanoparticle behavior within hematopoietic compartments, this work advances our understanding of nanomedicine in vivo performance and highlights particle size as a critical quality attribute that can be optimized and controlled to improve targeted delivery to myeloid cells in the treatment of hematological malignancies.

cancer biology↗

NicheSphere reveals Spp1⁺ macrophages as central hubs coordinating fibrotic remodeling in myeloproliferative neoplasms

Bone marrow fibrosis in myeloproliferative neoplasms arises from interactions between mutant hematopoietic clones and fibrosis-driving stromal cells. We identify Spp1 macrophages as central "communication hubs" integrating inflammatory and fibrotic programs via spatial proximity, ECM signaling, and cytokine activation. Using dual lineage-tracing, single-cell and multiplet RNA-sequencing, and a novel computational method for cell-colocalization and communication analysis named NicheSphere, we show that Spp1 macrophages form core communication hubs with osteoCAR cells, fibroblasts, and megakaryocytes. NicheSphere uncovered two distinct niches: macrophage-enriched compartments driving WNT, JAK-STAT, and TNF cytokine signaling, and a fibrosis-interacting core enriched in TGF-{beta} and ECM glycoproteins. Genetic ablation revealed cooperative roles of stromal and hematopoietic Spp1 in sustaining fibrosis and inflammation. Mechanistically, SPP1 promoted integrin-mediated adhesion, IL-1{beta} secretion, and stromal activation, while IL-1 cytokines induced Spp1 and collagen expression. Loss of Spp1 in hematopoietic progenitors reduced inflammation and restored macrophage function, establishing SPP1 macrophages as therapeutic targets in progressive bone marrow fibrosis.

cancer biology↗

Wnt-dependent spatiotemporal reprogramming ofbone marrow niches drives fibrosis

Bone marrow fibrosis is the most extensive matrix remodeling of the microenvironment and can include de novo formation of bone (osteosclerosis). Spatiotemporal information on the contribution of distinct bone marrow niche populations to this process is incomplete. We demonstrate that fibrosis-inducing hematopoietic cells cause profibrotic reprogramming of perivascular CXCL12 abundant reticular (CAR) progenitor cells resulting in loss of their hematopoiesis-support and upregulation of osteogenic and pro-apoptotic programs. In turn, peritrabecular osteolineage cells (OLCs) are activated in an injury-specific, Wnt-dependent manner, comparable to skeletal repair. OLCs fuel bone marrow fibrosis through their expansion and skewed differentiation, resulting in osteosclerosis and expansion of Ly6a+ fibroblasts. NCAM1 expression marks peritrabecular OLCs and their expansion into the central marrow is specific for fibrosis in mice and patients. Peritrabecular stromal b-catenin expression is linked to fibrosis in patients and inhibition of Wnt signaling reduces bone marrow fibrosis and osteosclerosis, possibly being a clinically relevant therapeutic target.

molecular biology↗

Macrophages protect against loss of adipose tissue during cancer cachexia

Cancer cachexia represents a central obstacle in medical oncology as it is associated with poor therapy response and reduced overall survival. Systemic inflammation is considered to be a key driver of cancer cachexia, however, clinical studies with anti-inflammatory drugs failed to show a robust cachexia-inhibiting effect. To address this contradiction, we investigated the functional importance of innate immune cells for hepatocellular carcinoma (HCC)-associated cachexia. To this end, we used a transgenic HCC mouse model intercrossed with mice harboring a defect in myeloid cell-mediated inflammation. We identified robust cachexia in the HCC mouse model as evidenced by a marked loss of visceral fat and lean mass. Computed tomography-based analyses demonstrated that a subgroup of human HCC patients displays reduced visceral fat mass, complementing the murine data. While the myeloid cell-mediated inflammation defect resulted in reduced expression of pro-inflammatory cytokines in the serum of HCC-bearing mice, this unexpectedly did not translate into diminished, but rather enhanced cachexia-associated fat loss. Defective myeloid cell-mediated inflammation was associated with decreased macrophage abundance in visceral adipose tissue, suggesting a role for local macrophages in the regulation of cancer-induced fat loss. Taken together, myeloid cell-mediated inflammation displays a rather unexpected beneficial function in a murine HCC model. These results demonstrate that immune cells are capable of protecting the host against cancer-induced tissue wasting, adding a further layer of complexity to the pathogenesis of cachexia and providing a potential explanation for the contradictory results of clinical studies with anti-inflammatory drugs.

cancer biology↗

Super-Resolution Ultrasound Bubble Tracking for Preclinical and Clinical Multiparametric Tumor Characterization

Super-resolution imaging methods promote tissue characterization beyond the spatial resolution limits of the devices and bridge the gap between histopathological analysis and non-invasive imaging. Here, we introduce Ultrasound Bubble Tracking (UBT) as an easily applicable and robust new tool to morphologically and functionally characterize fine vascular networks in tumors at super-resolution. In tumor-bearing mice and for the first time in patients, we demonstrate that within less than one minute scan time UBT can be realized using conventional preclinical and clinical ultrasound devices. In this context, next to highly detailed images of tumor microvascularization and the reliable quantification of relative blood volume and perfusion, UBT provides access to multiple new functional and morphological parameters that showed superior performance in discriminating tumors with different vascular phenotypes. Furthermore, our initial clinical results indicate that UBT is a highly translational technology with strong potential for the multiparametric characterization of tumors and the assessment of therapy response.

cancer biology↗

Detection of small breast tumors using tumor penetrating-polymersomes engineered to target p32 protein

Triple negative breast cancer (TNBC) is the deadliest form of breast cancer and its successful treatment critically depends on early diagnosis and therapy. The multi-compartment protein p32 is overexpressed and present at cell surfaces in a variety of tumors, including TNBC, specifically in the malignant cells and endothelial cells, and in macrophages localized in hypoxic areas of the tumor. Herein we used polyethylene glycol-polycaprolactone polymersomes that were affinity targeted with the p32-binding tumor penetrating peptide LinTT1 (AKRGARSTA) for imaging of TNBC lesions. A tyrosine residue was added to the peptide to allow for 124I labeling and PET imaging. In a TNBC model in mice, systemic LinTT1-targeted polymersomes accumulated in early tumor lesions more than twice as efficiently as untargeted polymersomes with up to 20% ID/cc at 24 h after administration. The PET-imaging was very sensitive, allowing detection of tumors as small as [~]20mm3. Confocal imaging of tumor tissue sections revealed a high degree of vascular exit and stromal penetration of LinTT1-targeted polymersomes and co-localization with tumor-associated macrophages. Our studies show that systemic LinTT1-targeted polymersomes can be potentially used for precision-guided tumor imaging and treatment of TNBC.

cancer biology↗