Probabilistic Scatter Plots for visualizing carbohydrate and lipid metabolism states in Non-Alcoholic Fatty Liver Disease.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is characterized by dysregulated carbohydrate and lipid metabolism, which are its primary features. However, traditional biochemical markers pose challenges for accurate quantification and visualization of metabolic states. This study introduces a novel states-based approach for accurate NAFLD assessment. METHODS: Joint probabilistic distributions of triglycerides and glycemia were constructed using dual-indicator Probabilistic Scatter Plots based on clinical data (healthy controls: n = 1978; NAFLD patients: n = 471). Patterns of metabolic dysregulation were revealed through comparison against healthy profiles. Self-organizing feature mapping (SOFM) clustered the distributions into four dominant states. RESULTS: Healthy scatter plots demonstrated a distinct progression of sub-states ranging from very healthy to sub-healthy. In contrast, NAFLD plots exhibited shifted probability centers and outward divergence. SOFM clustering classified the states into: mild; moderate and severe lipid metabolism disorders; and carbohydrate metabolism disorders. CONCLUSIONS: Probabilistic Scatter Plots, when combined with SOFM clustering, facilitate a states-based quantification of NAFLD metabolic dysregulation. This method integrates multi-dimensional biochemical indicators and their distributions into a cohesive framework, enabling precise and intuitive visualization for personalized diagnosis and monitoring of prognostic developments.

Synchronous Triplanar Reconstruction Integrated with Color Doppler Mapping for Precise and Rapid Localization of Thyroid Lesions.

This paper proposes a novel thyroid examination technique based on five-dimensional (5D) synchronous reconstruction of ultrasound data. The raw temporal sequences are reconstructed into 3D volumetric data reflecting anatomical structure. Triplanar visualization from three orthogonal planes is realized to provide a systematic inspection of the entire gland. Color Doppler imaging is integrated into each triplanar slice to map vascularity changes. This multi-modal fusion enables synchronous display of structural, functional, and blood flow information in the reconstructed 5D space. Compared to conventional scanning, this technique offers the benefits of flexible offline diagnosis, reduced dependency on scanning, enhanced intuitive interpretation, and comprehensive multi-aspect evaluation. By minimizing oversight errors, it could improve diagnostic accuracy, especially for novice practitioners. The proposed 5D fusion method allows rapid and precise localization of lesions for early detection. Future work will explore integration with biochemical markers to further improve diagnostic precision. The technique has considerable clinical value for advancing thyroid examination.

A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules.

The three-dimensional (3D) reconstruction of pulmonary nodules using medical images has introduced new technical approaches for diagnosing and treating pulmonary nodules, and these approaches are progressively being acknowledged and adopted by physicians and patients. Nonetheless, constructing a relatively universal 3D digital model of pulmonary nodules for diagnosis and treatment is challenging due to device differences, shooting times, and nodule types. The objective of this study is to propose a new 3D digital model of pulmonary nodules that serves as a bridge between physicians and patients and is also a cutting-edge tool for pre-diagnosis and prognostic evaluation. Many AI-driven pulmonary nodule detection and recognition methods employ deep learning techniques to capture the radiological features of pulmonary nodules, and these methods can achieve a good area under-the-curve (AUC) performance. However, false positives and false negatives remain a challenge for radiologists and clinicians. The interpretation and expression of features from the perspective of pulmonary nodule classification and examination are still unsatisfactory. In this study, a method of continuous 3D reconstruction of the whole lung in horizontal and coronal positions is proposed by combining existing medical image processing technologies. Compared with other applicable methods, this method allows users to rapidly locate pulmonary nodules and identify their fundamental properties while also observing pulmonary nodules from multiple perspectives, thereby providing a more effective clinical tool for diagnosing and treating pulmonary nodules.

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules.

For patients with early multiple pulmonary nodules, it is essential, from a diagnostic perspective, to determine the spatial distribution, size, location, and relationship with surrounding lung tissue of these nodules throughout the entire lung. This is crucial for identifying the primary lesion and developing more scientifically grounded treatment plans for doctors. However, pattern recognition methods based on machine vision are susceptible to false positives and false negatives and, therefore, cannot fully meet clinical demands in this regard. Visualization methods based on maximum intensity projection (MIP) can better illustrate local and individual pulmonary nodules but lack a macroscopic and holistic description of the distribution and spatial features of multiple pulmonary nodules. Therefore, this study proposes a whole-lung 3D reconstruction method. It extracts the 3D contour of the lung using medical image processing technology against the background of the entire lung and performs 3D reconstruction of the lung, pulmonary artery, and multiple pulmonary nodules in 3D space. This method can comprehensively depict the spatial distribution and radiological features of multiple nodules throughout the entire lung, providing a simple and convenient means of evaluating the diagnosis and prognosis of multiple pulmonary nodules.

A Three-Dimensional Digital Model for Early Diagnosis of Hepatic Fibrosis Based on Magnetic Resonance Elastography.

Hepatic fibrosis is an early stage of liver cirrhosis, and there are no better non-invasive and convenient methods for the detection and evaluation of the disease. Despite the good progress made with the liver stiffness map (LSM) based on magnetic resonance elastography (MRE), there are still some limitations that need to be overcome, including manual focus determination, manual selection of regions of interest (ROIs), and discontinuous LSM data without structural information, which makes it impossible to evaluate the liver as a whole. In this study, we propose a novel three-dimensional (3D) digital model for the early diagnosis of hepatic fibrosis based on MRE. MRE is a non-invasive imaging technique that employs magnetic resonance imaging (MRI) to measure the liver stiffness at the scanning site through human-computer interaction. Studies have indicated a significant positive correlation between the LSM obtained through MRE and the degree of hepatic fibrosis. However, for clinical purposes, a comprehensive and precise quantification of the degree of hepatic fibrosis is necessary. To address this, the concept of Liver Stiffness Distribution (LSD) was proposed in this study, which refers to the 3D stiffness volume of each liver voxel obtained by the alignment of 3D liver tissue images and MRE indicators. This provides a more effective clinical tool for the diagnosis and treatment of hepatic fibrosis.

A 3D Quantification Technique for Liver Fat Fraction Distribution Analysis Using Dixon Magnetic Resonance Imaging.

This study presents a 3D quantification methodology for the distribution of liver fat fraction (LFF) through the utilization of Dixon MRI image analysis. The central aim is to offer a highly accurate and non-invasive means of evaluating liver fat content. The process involves the acquisition of In-phase and Water-phase images from a Dixon sequence. LFF maps are then meticulously computed voxel by voxel by dividing the Lipid Phase images by the In-phase images. Simultaneously, 3D liver contours are extracted from the In-phase images. These crucial components are seamlessly integrated to construct a comprehensive 3D-LFF distribution model. This technique is not limited to healthy livers but extends to those afflicted by hepatic steatosis. The results obtained demonstrate the remarkable effectiveness of this approach in both visualizing and quantifying liver fat content. It distinctly discerns patterns that differentiate between normal and steatotic livers. By harnessing Dixon MRI to extract the 3D structure of the liver, this method offers precise LFF assessments spanning the entirety of the organ, thereby holding great promise for the diagnosis of hepatic steatosis with remarkable effectiveness.

Kaempferol inhibits SARS-CoV-2 invasion by impairing heptad repeats-mediated viral fusion.

BACKGROUND: The continuous evolution of SARS-CoV-2 has underscored the development of broad-spectrum prophylaxis. Antivirals targeting the membrane fusion process represent promising paradigms. Kaempferol (Kae), an ubiquitous plant flavonol, has been shown efficacy against various enveloped viruses. However, its potential in anti-SARS-CoV-2 invasion remains obscure. PURPOSE: To evaluate capabilities and mechanisms of Kae in preventing SARS-CoV-2 invasion. METHODS: To avoid interference of viral replication, virus-like particles (VLPs) constructed with luciferase reporter were applied. To investigate the antiviral potency of Kae, human induced pluripotent stem cells (hiPSC)-derived alveolar epithelial cells type II (AECII) and human ACE2 (hACE2) transgenic mice were utilized as in vitro and in vivo models, respectively. Using dual split protein (DSP) assays, inhibitory activities of Kae in viral fusion were determined in Alpha, Delta and Omicron variants of SARS-CoV-2, as well as in SARS-CoV and MERS-CoV. To further reveal molecular determinants of Kae in restricting viral fusion, synthetic peptides corresponding to the conserved heptad repeat (HR) 1 and 2, involved in viral fusion, and the mutant form of HR2 were explored by circular dichroism and native polyacrylamide gel electrophoresis. RESULTS: Kae inhibited SARS-CoV-2 invasion both in vitro and in vivo, which was mainly attributed to its suppressive effects on viral fusion, but not endocytosis, two pathways that mediate viral invasion. In accordance with the proposed model of anti-fusion prophylaxis, Kae functioned as a pan-inhibitor of viral fusion, including three emerged highly pathogenic coronaviruses, and the currently circulating Omicron BQ.1.1 and XBB.1 variants of SARS-CoV-2. Consistent with the typical target of viral fusion inhibitors, Kae interacted with HR regions of SARS-CoV-2 S2 subunits. Distinct from previous inhibitory fusion peptides which prevent the formation of six-helix bundle (6-HB) by competitively interacting with HRs, Kae deformed HR1 and directly reacted with lysine residues within HR2 region, the latter of which was considered critical for the preservation of stabilized S2 during SARS-CoV-2 invasion. CONCLUSIONS: Kae prevents SARS-CoV-2 infection by blocking membrane fusion and possesses a broad-spectrum anti-fusion ability. These findings provide valuable insights into potential benefits of Kae-containing botanical products as a complementary prophylaxis, especially during the waves of breakthrough infections and re-infections.

Efficacy of Shenfu decoction on sepsis in rats with condition induced by cecal ligation and puncture.

OBJECTIVE: To evaluate the efficacy of Shenfu decoction (SFD) prepared with a traditional Chinese formula, on sepsis in rats with the condition induced by cecal ligation and puncture (CLP), and to study the possible mechanism underlying its action. METHODS: Forty clean-grade male Sprague-Dawley rats were divided randomly into three groups: normal control group (NCG, n = 10), model control group (MCG, n = 15) and Shenfu decoction group (SFDG, n = 15). Sham-operated rats in NCG were served as operation control, while rats in both MCG and SFDG were exposed to CLP, a procedure to develop experimental sepsis. Rats in SFDG were administered with SFD by gavage (3 mg/g of body weight, twice a day) 2 h prior to CLP and directly after successful CLP, while rats in NCG and MCG were gavaged with equivalent volume of sterilized water. Rats in all groups were starved with free access to drink. After 24 h of administration, the mortality of rats in each group was assessed. The indicators of inflammatory response [the peritoneal inflammation by Simon's method Classification as well as serum concentrations of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) by enzyme linked immunosorbent assay (ELISA)] in survival rats were evaluated. The indicators of gut barrier [The intestinal mucosal injury index, serum concentrations of D-lactic acid and secretory IgA (sIgA) in intestinal mucosa by ELISA, as well as gut microbiota by16S rRNA gene sequencing] in survival rats were evaluated. RESULTS: The mortality (20%) of rats in SFDG was lower than that (33.3%) of the MCG (P < 0.01). The mortality (20%) of rats in SFDG was lower than that (33.3%) of the MCG (χ2 = 6.533, P = 0.011). Compared with the MCG,the peritoneal inflammation as well as serum concentrations of TNF-α and IL-6 decreased significantly in SFDG (all P < 0.01). Compared with the MCG, the IMII, serum concentrations of D-lactic acid, sIgA in intestinal mucosa were alleviated by SFD treatment (all P < 0.01). Increase in levels of Proteobacteria and reduction levels of Bacteroidetes induced by sepsis were observed, and these two disturbed gut microbiota phyla could be regulated after SFD treatment. Increase in levels of Proteobacteria and reduction levels of Bacteroidetes induced by sepsis were observed, and these two disturbed gut microbiota phyla could be regulated after SFD treatment. CONCLUSION: SFD may play a protective role in sepsis by alleviating sepsis-induced inflammatory response and gut barrier damage in rats.

Role of Traditional Chinese Medicine in the Management of Viral Pneumonia.

Viral pneumonia is one kind of acute respiratory tract infection caused by the virus. There have been many outbreaks of viral pneumonia with high contagiousness and mortality both in China and abroad, such as the great influenza in 1918, the severe acute respiratory syndrome (SARS) coronavirus in 2003, the Influenza A (H1N1) virus in 2009, and the Middle East Respiratory Syndrome coronavirus (MERS-CoV) in 2012 and the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2019. These outbreaks and/or pandemic have significant impact on human life, social behaviors, and economic development. Moreover, no specific drug has been developed for these viruses. Traditional Chinese medicine (TCM) plays an important role in the treatment of viral pneumonia during these outbreaks especially in SARS and SARS-CoV-2 because studies suggest that TCM formulations may target several aspects of the disease and may have lesser side effects than manufactured pharmaceuticals. In recent years, a lot of clinicians and researchers have made a series of in-depth explorations and investigations on the treatment of viral pneumonia with TCM, which have understood TCM therapeutic mechanisms more specifically and clearly. But critical analysis of this research in addition to further studies are needed to assess the potential of TCM in the treatment of viral pneumonia.

Core Outcome Set for Clinical Trials of COVID-19 Based on Traditional Chinese and Western Medicine.

BACKGROUND: Development of a core outcome set (COS) for clinical trials for COVID-19 is urgent because of the pandemic wreaking havoc worldwide and the heterogeneity of outcomes in clinical trials. METHODS: A preliminary list of outcomes was developed after a systematic review of protocols of clinical trials for COVID-19. Then, two rounds of the Delphi survey were conducted. Stakeholders were traditional Chinese medicine (TCM) experts, Western medicine (WM) experts, nurses, and the public. Patients with confirmed COVID-19 were also invited to participate in a questionnaire written in understandable language. Then different stakeholders participated in a consensus meeting by video conference to vote. RESULTS: Ninety-seven eligible study protocols were identified from 160 clinical trials. Seventy-six outcomes were identified from TCM clinical trials and 126 outcomes were identified from WM clinical trials. Finally, 145 outcomes were included in the first round of the Delphi survey. Then, a COS for clinical trials of TCM and WM was developed. The COS included clinical outcomes (recovery/improvement/progression/death), etiology (SARS-CoV-2 nucleic-acid tests, viral load), inflammatory factor (C-reactive protein), vital signs (temperature, respiration), blood and lymphatic-system parameters (lymphocytes, virus antibody), respiratory outcomes (pulmonary imaging, blood oxygen saturation, PaO2/FiO2 ratio, arterial blood gas analysis, mechanical ventilation, oxygen intake, pneumonia severity index), clinical efficacy (prevalence of preventing patients with mild-to-moderate disease progressing to severe disease), and symptoms (clinical symptom score). Outcomes were recommended according to different types of disease. Outcome measurement instruments/definitions were also recommended. CONCLUSION: Though there are some limitations for the research, such as insufficient patients and the public involvement, and the unbalanced stakeholders' region, the COS for COVID-19 may improve consistency of outcome reporting in clinical trials. It also should be updated with research progression.