Chemical & Biomedical Imaging最新文献

Accurate assessment and characterization of the progression and therapy response of prostate cancer are essential for precision healthcare of patients diagnosed with the disease. MRI is a clinical imaging modality routinely used for diagnostic imaging and treatment planning of prostate cancer. Extradomain B fibronectin (EDB-FN) is an oncofetal subtype of fibronectin highly expressed in the extracellular matrix of aggressive cancers, including prostate cancer. It is a promising molecular target for the detection and risk-stratification of prostate cancer with high-resolution MR molecular imaging (MRMI). In this study, we investigated the effectiveness of MRMI with an EDB-FN specific contrast agent MT218 for assessing the progression and therapy resistance of prostate cancer. Low grade LNCaP prostate cancer cells became an invasive phenotype LNCaP-CXCR2 with elevated EDB-FN expression after acquisition of the C-X-C motif chemokine receptor 2 (CXCR2). MT218-MRMI showed brighter signal enhancement in LNCaP-CXCR2 tumor xenografts with a ∼2-fold contrast-to-noise (CNR) increase than in LNCaP tumors in mice. Enzalutamide-resistant C4-2-DR prostate cancer cells were more invasive, with higher EDB-FN expression than parental C4-2 cells. Brighter signal enhancement with a ∼2-fold CNR increase was observed in the C4-2-DR xenografts compared to that of C4-2 tumors in mice with MT218-MRMI. Interestingly, when invasive PC3 prostate cancer cells developed resistance to paclitaxel, the drug-resistant PC3-DR cells became less invasive with reduced EDB-FN expression than the parental PC3 cells. MT218-MRMI detected reduced brightness in the PC3-DR xenografts with more than 2-fold reduction of CNR compared to PC3 tumors in mice. The signal enhancement in all tumors was supported by the immunohistochemical staining of EDB-FN with the G4 monoclonal antibody. The results indicate that MRMI of EDB-FN with MT218 has promise for detection, risk stratification, and monitoring the progression and therapy response of invasive prostate cancer.

The robustness of blood filtration in the kidney is supported by two major functions: the molecular sieve of the glomerulus and reabsorption of the proximal tubules. Detecting glomerular dysfunction is challenging because of the compensatory nature of proximal tubule reabsorption. To facilitate pathophysiological studies of the vertebrate kidney, zebrafish pronephroi are used, owing to their simple glomerular and proximal tubular configuration. In this study, a solvatochromic dye with an affinity for plasma proteins was used to detect urinary proteins leaking into the ureter of zebrafish. Aristolochic acid exposure to fertilized eggs of transgenic zebrafish expressing green fluorescent protein from the proximal tubules to the excretory pore induced concentration-dependent renal dysfunction. The solvatochromic dye ZMB741 was applied via static immersion to analyze leaked dye-plasma-protein complexes in the ureter; their axial distribution was imaged by using confocal microscopy. The effect of resveratrol, an attenuator of aristolochic acid nephropathy, was further analyzed. This method enables individual-level analysis of podocytopathy, a mild glomerular disease that does not necessarily lead to the excretion of proteinuria. Moreover, it will be useful for pathophysiological studies of renal function and the identification of potential therapeutic drugs.

The robustness of blood filtration in the kidney is supported by two major functions: the molecular sieve of the glomerulus and reabsorption of the proximal tubules. Detecting glomerular dysfunction is challenging because of the compensatory nature of proximal tubule reabsorption. To facilitate pathophysiological studies of the vertebrate kidney, zebrafish pronephroi are used, owing to their simple glomerular and proximal tubular configuration. In this study, a solvatochromic dye with an affinity for plasma proteins was used to detect urinary proteins leaking into the ureter of zebrafish. Aristolochic acid exposure to fertilized eggs of transgenic zebrafish expressing green fluorescent protein from the proximal tubules to the excretory pore induced concentration-dependent renal dysfunction. The solvatochromic dye ZMB741 was applied via static immersion to analyze leaked dye–plasma–protein complexes in the ureter; their axial distribution was imaged by using confocal microscopy. The effect of resveratrol, an attenuator of aristolochic acid nephropathy, was further analyzed. This method enables individual-level analysis of podocytopathy, a mild glomerular disease that does not necessarily lead to the excretion of proteinuria. Moreover, it will be useful for pathophysiological studies of renal function and the identification of potential therapeutic drugs.

Cells can adapt to diverse topographical substrates through contact guidance, which regulates the cellular and nuclear morphologies and functions. How adaptive deformation of the cell body and nucleus coordinates to protect genetic material within mechanical microenvironments remains poorly understood. In this study, we engineered micrometer-level narrow-spacing micropillars to mimic constricted extracellular topographies in vivo, enabling us to explore variances in the nuclear architecture, cytoskeleton distribution, and chromatin conformation. The results showed that the area and volume of cell nuclei were distinctly smaller on micropillar topography. Actin and vimentin densely encapsulated the micropillars surrounding the nucleus, effectively segregating it from the micropillars. Additionally, nucleo-cytoskeleton lamin A/C exhibited a polarized distribution at the protrusion of the deformed nuclei. Notably, the degree of heterochromatin was altered in response to significant nuclear deformation, leading to a downregulation trend in H3K9me3 expression. These findings suggest that mechanical constraints imposed by microtopography profoundly influence cell behaviors, providing insights into disease diagnosis and therapeutic interventions in vivo.

Epicuticular wax is the outmost layer of plant leaves that protects them from desiccation and penetration of harmful reagents. There is an intense industrial effort in the development of softening agents, adjuvants, that can adjust the permeability of the wax toward pesticides and, thus, play an important role in sustainable agriculture. However, mechanistic understanding of the structure and dynamic properties within the plant wax, particularly upon the application of adjuvants, is currently lacking. In this work, we demonstrate that fluorescence lifetime imaging microscopy (FLIM) combined with molecular rotors, fluorescent probes sensitive to viscosity, can directly probe the microviscosity of amorphous and crystalline phases of model plant wax layers. Moreover, this approach is able to quantify the changes in viscosity in both phases upon the addition of water and adjuvant solutions on top of the wax. We show that water permeation mostly perturbs the crystalline phase of the wax, while our chosen adjuvant, Plurafac LF431, mainly softens the amorphous phase of the wax. Our technique provides a facile and quantitative way to monitor dynamic properties within plant waxes with diffraction-limited resolution and reveals the effect of organic substances on wax structure and rigidity, crucial for designing next-generation agents to improve agricultural efficiency.

The combination of deep learning techniques and Raman spectroscopy shows great potential offering precise and prompt identification of pathogenic bacteria in clinical settings. However, the traditional closed-set classification approaches assume that all test samples belong to one of the known pathogens, and their applicability is limited since the clinical environment is inherently unpredictable and dynamic, unknown, or emerging pathogens may not be included in the available catalogs. We demonstrate that the current state-of-the-art neural networks identifying pathogens through Raman spectra are vulnerable to unknown inputs, resulting in an uncontrollable false positive rate. To address this issue, first we developed an ensemble of ResNet architectures combined with the attention mechanism that achieves a 30-isolate accuracy of 87.8 ± 0.1%. Second, through the integration of feature regularization by the Objectosphere loss function, our model both achieves high accuracy in identifying known pathogens from the catalog and effectively separates unknown samples drastically reducing the false positive rate. Finally, the proposed feature regularization method during training significantly enhances the performance of out-of-distribution detectors during the inference phase improving the reliability of the detection of unknown classes. Our algorithm for Raman spectroscopy empowers the identification of previously unknown, uncataloged, and emerging pathogens ensuring adaptability to future pathogens that may surface. Moreover, it can be extended to enhance open-set medical image classification, bolstering its reliability in dynamic operational settings.

Indocyanine Blue (ICB) is the deep-red pentamethine analogue of the widely used clinical near-infrared heptamethine cyanine dye Indocyanine Green (ICG). The two fluorophores have the same number of functional groups and molecular charge and vary only by a single vinylene unit in the polymethine chain, which produces a predictable difference in spectral and physicochemical properties. We find that the two dyes can be employed as a complementary pair in diverse types of fundamental and applied fluorescence imaging experiments. A fundamental fluorescence spectroscopy study used ICB and ICG to test a recently proposed Förster Resonance Energy Transfer (FRET) mechanism for enhanced fluorescence brightness in heavy water (D₂O). The results support two important corollaries of the proposal: (a) the strategy of using heavy water to increase the brightness of fluorescent dyes for microscopy or imaging is most effective when the dye emission band is above 650 nm, and (b) the magnitude of the heavy water florescence enhancement effect for near-infrared ICG is substantially diminished when the ICG surface is dehydrated due to binding by albumin protein. Two applied fluorescence imaging studies demonstrated how deep-red ICB can be combined with a near-infrared fluorophore for paired agent imaging in the same living subject. One study used dual-channel mouse imaging to visualize increased blood flow in a model of inflamed tissue, and a second mouse tumor imaging study simultaneously visualized the vasculature and cancerous tissue in separate fluorescence channels. The results suggest that ICB and ICG can be incorporated within multicolor fluorescence imaging methods for perfusion imaging and hemodynamic characterization of a wide range of diseases.

Survivin is highly expressed in most human cancers, making it a promising target for cancer diagnosis and treatment. In this study, we developed peptide probes consisting of Bor_65–75, a high-affinity survivin-binding peptide, and a survivin protein segment using peptide linkers as survivin-sensitive fluorescent probes (SSFPs). All conjugates were attached to 5(6)-carboxyfluorescein (FAM) at the C-terminal as a fluorophore and to 4((4(dimethylamino)phenyl)azo)benzoic acid (DABCYL) at the N-terminal as a quencher. Fluorescence (or Förster) resonance energy transfer (FRET) quenching via intramolecular binding of Bor_65–75 with survivin protein segment could be diminished by the approach of survivin to SSFPs, which dissociate Bor_65–75 from SSPF and increased the distance between FAM and DABCYL. A binding assay using recombinant human survivin protein (rSurvivin) demonstrated moderate to high affinity of SSFPs for survivin (dissociation constants (K_d) = 121–1740 nM). Although the SSFPs (0.5 μM) had almost no fluorescence under baseline conditions, a dose-dependent increase in fluorescence intensity was observed in the presence of rSurvivin (0.1–2.0 μM). In particular, the proline-rich SSFP (SSFP5) showed the highest (2.7-fold) fluorescence induction at 2.0 μM survivin compared to the signals in the absence of survivin. Confocal fluorescence imaging demonstrated that SSFP5 exhibited clear fluorescence signals in survivin-positive MDA-MB-231 cells, whereas no marked fluorescence signals were observed in survivin-negative MCF-10A cells. Collectively, these results suggest that SSFPs can be used as survivin-specific FRET imaging probes.

Acute kidney injury (AKI), a prevalent and complex clinical condition associated with elevated risks of morbidity and mortality, necessitates the meticulous detection and monitoring of kidney damage globally. Biomedicine has shown keen interest in molecular probes and detectors for AKI due to their sensitivity, rapidity, and cost-effectiveness. Bioimaging technologies play a significant role in identifying and quantifying AKI indicators, enhancing diagnostic approaches, and potentially refining clinical therapies for immediate injury control. Molecular probes serve as valuable tools for drug screening, uncovering renoprotective components, signaling pathways, and the nephrotoxic effects of drugs. This review comprehensively summarizes the latest advancements in molecular probes, emphasizing their exceptional efficacy in various characteristics, including renal cleanability, multichannel detection capability, near-infrared-II responsiveness, and reactivity toward reactive oxygen species. These probes offer enhanced benefits for assessing kidney damage and evaluating the therapeutic effects of medications while simultaneously reducing toxic effects. Additionally, the review delves into future potentials and challenges in this field, aiming to inspire the development and enhancement of molecular bioimaging for the early diagnosis and treatment of kidney diseases.

There is significant and increasing interest in using the photothermal effect to record infrared (IR) absorption spectra localized to volumes that are considerably smaller than the wavelength of excitation, i.e., subdiffraction imaging. As opposed to conventional IR microscopy, in which absorption and scattering of the illuminating light is measured, subdiffraction imaging can be achieved through detection of the sample’s thermal response to IR absorption-induced heating. While this relationship has been examined by a variety of coarse-grained models, a generalized analysis of the dependence of temperature and surface deformation arising from an absorber below the surface has not been reported. Here, we present an analytical model to understand a sample’s thermoelastic response in photothermal measurements. The model shows important dependence of the ability to record subdiffraction data on modulation frequency of exciting light, limitations imposed by optical sensing, and the potential to discern location of objects ultimately limited by noise and sharpness of the detecting mechanism. This foundational analysis should allow for better modeling, understanding, and harnessing of the relationship between absorption and sample response that underlies IR photothermal measurements.