Modulation of the skin and gut microbiome by psoriasis treatment: a comprehensive systematic review.

The microbiome is intricately linked to the development of psoriasis, serving as both a potential cause and consequence of the psoriatic process. In recent years, there has been growing interest among psoriasis researchers in exploring how psoriasis treatments affect the skin and gut microbiome. However, a comprehensive evaluation of the impact of modern treatment approaches on the microbiome has yet to be conducted. In this systematic review, we analyze studies investigating alterations in the skin and gut microbiome resulting from psoriasis treatment, aiming to understand how current therapies influence the role of the microbiome in psoriasis development. The systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. PubMed and Scopus databases were searched for eligible studies from the inception dates until July 5, 2023. Study selection, data extraction, and risk of bias assessment were carried out by three overlapping pairs of reviewers, resolving any disagreements through consensus. Our analysis of various treatments, including biologics, conventional medications, phototherapy, and probiotics, reveals significant shifts in microbial diversity and abundance. Importantly, favorable treatment outcomes are associated with microbiota alterations that approach those observed in healthy individuals. While the studies reviewed exhibit varying degrees of bias, underscoring the need for further research, this review supports the potential of microbiome modulation as both a preventive and therapeutic strategy for psoriasis patients. The findings underscore the importance of personalized therapeutic approaches, recognizing the profound impact of treatment on the microbiome. They also highlight the promise of probiotics, prebiotics, and dietary interventions in psoriasis management.

Four sides to the story: A proteomic comparison of liquid-phase and matrix-bound extracellular vesicles in 2D and 3D cell cultures.

Multipotent mesenchymal stromal cells (MSCs)-derived extracellular vesicles (EVs) play important roles in cellular communication and are extensively studied as promising therapeutic agents. While there is a substantial pool of studies on liquid-phase EVs, data on EVs bound to the extracellular matrix (ECM) is lacking. There is also an emerging trend of accumulating and comparing data on characteristics of EVs obtained in different culturing conditions. Aiming to reveal proteomic signatures of EVs obtained from conditioned media and ECM of MSCs cultured in 2D and 3D conditions, we performed liquid chromatography with tandem mass spectrometry. Bioinformatic analysis revealed common patterns in proteomic composition of liquid-phase EVs and matrix-bound vesicles (MBVs), namely extracellular environment organization, immune, and transport pathways enrichment. However, extracellular environmental organization pathways are more enriched in liquid-phase EVs than in MBVs, while MBVs proteins noticeably enrich enzymatic pathways. Furthermore, each type of EVs from 2D and 3D cultures has a unique differential abundance profile. We have also performed comparative functional assays, namely scratch assay to assess EVs effect on cell migration and tubulogenesis assay to evaluate EVs angiogenic potential. We found that both liquid-phase EVs and MBVs enhance cell migration, while angiogenic potential is higher in MBVs. Results of the present study suggest that while both liquid-phase EVs and MBVs have therapeutic potential, some unique features of each subgroup may determine optimal areas of their application.

MSCs' conditioned media cytokine and growth factor profiles and their impact on macrophage polarization.

BACKGROUND: There is a growing body of evidence that multipotent mesenchymal stromal cells' (MSCs') remarkable therapeutic potential is attributed not only to their differentiation and regenerative capacity, but also to the paracrine effect, underlying their immunomodulatory properties. MSCs' secretome (i.e., cytokines, growth factors, and extracellular vesicles) is therefore increasingly discussed in the context of their ability to modulate inflammatory response and promote regeneration. There is evidence that 2D or 3D culturing conditions have an impact on the cells' secretome, and here we aimed to compare the secretion of cytokines and growth factors in human MSCs from different sources cultured in 2D and 3D conditions and assess their effect on human macrophages polarization in vitro. METHODS: MSCs were derived from human adipose tissue, bone marrow, gingiva, placenta, and umbilical cord, cultured as monolayers or as cell spheroids. Their cytokine profiles were analyzed, and data standardization was carried out using a z-score. Human peripheral blood mononuclear cells-derived macrophages were then treated with umbilical cord-derived MSCs' conditioned media and their effect on macrophages polarization was assessed. RESULTS: Our findings suggest that umbilical cord-derived MSCs' conditioned media demonstrated the highest cytokine and growth factor levels and despite mostly pro-inflammatory cytokine profile were able to promote anti-inflammatory macrophage polarization. CONCLUSIONS: Umbilical cord-derived MSCs' conditioned media hold great potential for therapeutic use, demonstrating significant anti-inflammatory effect on human macrophages.

Grading cartilage damage with diffuse reflectance spectroscopy: Optical markers and mechanical properties.

Osteoarthritis (OA) is one of the most common joint diseases worldwide. Unfortunately, clinical methods lack the ability to detect OA in the early stages. Timely detection of the knee joint degradation at the level of tissue changes can prevent its progressive damage. Here, diffuse reflectance spectroscopy (DRS) in the NIR range was used to obtain optical markers of the cartilage damage grades and to assess its mechanical properties. It was observed that the water content obtained by DRS strongly correlates with the cartilage thickness (R = .82) and viscoelastic relaxation time (R = .7). Moreover, the spectral parameters, including water content (OH-band), protein content (CH-band), and scattering parameters allowed for discrimination between the cartilage damage grades (10-4 < P ≤ 10-3 ). The developed approach may become a valuable addition to arthroscopy, helping to identify lesions at the microscopic level in the early stages of OA and complement the surgical analysis.

Systematic review of artificial intelligence tack in preventive orthopaedics: is the land coming soon?

PURPOSE: This study aims to describe and assess the current stage of the artificial intelligence (AI) technology integration in preventive orthopaedics of the knee and hip joints. MATERIALS AND METHODS: The study was conducted in strict compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Literature databases were searched for articles describing the development and validation of AI models aimed at diagnosing knee or hip joint pathologies or predicting their development or course in patients. The quality of the included articles was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) and QUADAS-AI tools. RESULTS: 56 articles were found that meet all the inclusion criteria. We identified two problems that block the full integration of AI into the routine of an orthopaedic physician. The first of them is related to the insufficient amount, variety and quality of data for training, and validation and testing of AI models. The second problem is the rarity of rational evaluation of models, which is why their real quality cannot always be evaluated. CONCLUSION: The vastness and relevance of the studied topic are beyond doubt. Qualitative and optimally validated models exist in all four scopes considered. Additional optimization and confirmation of the models' quality on various datasets are the last technical stumbling blocks for creating usable software and integrating them into the routine of an orthopaedic physician.

On-chip coherent detection with quantum limited sensitivity.

While single photon detectors provide superior intensity sensitivity, spectral resolution is usually lost after the detection event. Yet for applications in low signal infrared spectroscopy recovering information about the photon's frequency contributions is essential. Here we use highly efficient waveguide integrated superconducting single-photon detectors for on-chip coherent detection. In a single nanophotonic device, we demonstrate both single-photon counting with up to 86% on-chip detection efficiency, as well as heterodyne coherent detection with spectral resolution f/∆f exceeding 1011. By mixing a local oscillator with the single photon signal field, we observe frequency modulation at the intermediate frequency with ultra-low local oscillator power in the femto-Watt range. By optimizing the nanowire geometry and the working parameters of the detection scheme, we reach quantum-limited sensitivity. Our approach enables to realize matrix integrated heterodyne nanophotonic devices in the C-band wavelength range, for classical and quantum optics applications where single-photon counting as well as high spectral resolution are required simultaneously.

Hot-spot relaxation time current dependence in niobium nitride waveguide-integrated superconducting nanowire single-photon detectors.

We investigate how the bias current affects the hot-spot relaxation dynamics in niobium nitride. We use for this purpose a near-infrared pump-probe technique on a waveguide-integrated superconducting nanowire single-photon detector driven in the two-photon regime. We observe a strong increase in the picosecond relaxation time for higher bias currents. A minimum relaxation time of (22 ± 1) ps is obtained when applying a bias current of 50% of the switching current at 1.7 K bath temperature. We also propose a practical approach to accurately estimate the photon detection regimes based on the reconstruction of the measured detector tomography at different bias currents and for different illumination conditions.

Cavity-Enhanced and Ultrafast Superconducting Single-Photon Detectors.

Ultrafast single-photon detectors with high efficiency are of utmost importance for many applications in the context of integrated quantum photonic circuits. Detectors based on superconductor nanowires attached to optical waveguides are particularly appealing for this purpose. However, their speed is limited because the required high absorption efficiency necessitates long nanowires deposited on top of the waveguide. This enhances the kinetic inductance and makes the detectors slow. Here, we solve this problem by aligning the nanowire, contrary to usual choice, perpendicular to the waveguide to realize devices with a length below 1 µm. By integrating the nanowire into a photonic crystal cavity, we recover high absorption efficiency, thus enhancing the detection efficiency by more than an order of magnitude. Our cavity enhanced superconducting nanowire detectors are fully embedded in silicon nanophotonic circuits and efficiently detect single photons at telecom wavelengths. The detectors possess subnanosecond decay (∼120 ps) and recovery times (∼510 ps) and thus show potential for GHz count rates at low timing jitter (∼32 ps). The small absorption volume allows efficient threshold multiphoton detection.

Waveguide integrated superconducting single-photon detectors with high internal quantum efficiency at telecom wavelengths.

Superconducting nanowire single-photon detectors (SNSPDs) provide high efficiency for detecting individual photons while keeping dark counts and timing jitter minimal. Besides superior detection performance over a broad optical bandwidth, compatibility with an integrated optical platform is a crucial requirement for applications in emerging quantum photonic technologies. Here we present SNSPDs embedded in nanophotonic integrated circuits which achieve internal quantum efficiencies close to unity at 1550 nm wavelength. This allows for the SNSPDs to be operated at bias currents far below the critical current where unwanted dark count events reach milli-Hz levels while on-chip detection efficiencies above 70% are maintained. The measured dark count rates correspond to noise-equivalent powers in the 10(-19) W/Hz(-1/2) range and the timing jitter is as low as 35 ps. Our detectors are fully scalable and interface directly with waveguide-based optical platforms.

Three temperature regimes in superconducting photon detectors: quantum, thermal and multiple phase-slips as generators of dark counts.

We perform measurements of the switching current distributions of three w ≈ 120 nm wide, 4 nm thick NbN superconducting strips which are used for single-photon detectors. These strips are much wider than the diameter of the vortex cores, so they are classified as quasi-two-dimensional (quasi-2D). We discover evidence of macroscopic quantum tunneling by observing the saturation of the standard deviation of the switching distributions at temperatures around 2 K. We analyze our results using the Kurkijärvi-Garg model and find that the escape temperature also saturates at low temperatures, confirming that at sufficiently low temperatures, macroscopic quantum tunneling is possible in quasi-2D strips and can contribute to dark counts observed in single photon detectors. At the highest temperatures the system enters a multiple phase-slip regime. In this range single phase-slips are unable to produce dark counts and the fluctuations in the switching current are reduced.

Sensitivity of a superconducting nanowire detector for single ions at low energy.

We report on the characterization of a superconducting nanowire detector for ions at low kinetic energies. We measure the absolute single-particle detection efficiency η and trace its increase with energy up to η = 100%. We discuss the influence of noble gas adsorbates on the cryogenic surface and analyze their relevance for the detection of slow massive particles. We apply a recent model for the hot-spot formation to the incidence of atomic ions at energies between 0.2 and 1 keV. We suggest how the differences observed for photons and atoms or molecules can be related to the surface condition of the detector and we propose that the restoration of proper surface conditions may open a new avenue for SSPD-based optical spectroscopy on molecules and nanoparticles.

A superconducting NbN detector for neutral nanoparticles.

We present a proof-of-principle study of superconducting single photon detectors (SSPD) for the detection of individual neutral molecules/nanoparticles at low energies. The new detector is applied to characterize a laser desorption source for biomolecules and allows retrieval of the arrival time distribution of a pulsed molecular beam containing the amino acid tryptophan, the polypeptide gramicidin as well as insulin, myoglobin and hemoglobin. We discuss the experimental evidence that the detector is actually sensitive to isolated neutral particles.