Potential Diagnostic Capability Research Articles

The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment.

Artificial intelligence (AI), be it neuronal networks, machine learning or deep learning, has numerous beneficial effects on healthcare systems; however, its potential applications and diagnostic capabilities for immunologic diseases have yet to be explored. Understanding AI systems can help healthcare workers better assimilate artificial intelligence into their practice and unravel its potential in diagnostics, clinical research, and disease management. We reviewed recent advancements in AI systems and their integration in healthcare systems, along with their potential benefits in the diagnosis and management of diseases. We explored machine learning as employed in allergy diagnosis and its learning patterns from patient datasets, as well as the possible advantages of using AI in the field of research related to allergic reactions and even remote monitoring. Considering the ethical challenges and privacy concerns raised by clinicians and patients with regard to integrating AI in healthcare, we explored the new guidelines adapted by regulatory bodies. Despite these challenges, AI appears to have been successfully incorporated into various healthcare systems and is providing patient-centered solutions while simultaneously assisting healthcare workers. Artificial intelligence offers new hope in the field of immunologic disease diagnosis, monitoring, and management and thus has the potential to revolutionize healthcare systems.

Raman spectroscopy in the study of amyloid formation and phase separation.

Neurodegenerative diseases, such as Alzheimer's and Parkinson's, share a common pathological feature of amyloid structure accumulation. However, the structure-function relationship between these well-ordered, β-sheet-rich, filamentous protein deposits and disease etiology remains to be defined. Recently, an emerging hypothesis has linked phase separation, a process involved in the formation of protein condensates, to amyloid formation, suggesting that liquid protein droplets serve as loci for amyloid initiation. To elucidate how these processes contribute to disease progression, tools that can directly report on protein secondary structural changes are needed. Here, we review recent studies that have demonstrated Raman spectroscopy as a powerful vibrational technique for interrogating amyloid structures; one that offers sensitivity from the global secondary structural level to specific residues. This probe-free technique is further enhanced via coupling to a microscope, which affords structural data with spatial resolution, known as Raman spectral imaging (RSI). In vitro and in cellulo applications of RSI are discussed, highlighting studies of protein droplet aging, cellular internalization of fibrils, and Raman imaging of intracellular water. Collectively, utilization of the myriad Raman spectroscopic methods will contribute to a deeper understanding of protein conformational dynamics in the complex cellular milieu and offer potential clinical diagnostic capabilities for protein misfolding and aggregation processes in disease states.

Hsa_circ_0005397 promotes hepatocellular carcinoma progression through EIF4A3

PurposeThe purpose of this study was to explore the expression and potential mechanism of hsa_circ_0005397 in hepatocellular carcinoma progression.MethodsQuantitative reverse transcription-polymerase chain reaction(qRT-PCR) was used to measure the expression level of hsa_circ_0005397 and EIF4A3 from paired HCC tissues and cell lines. Western Blot (WB) and immunohistochemistry (IHC) were used to verify the protein level of EIF4A3. The specificity of primers was confirmed by agarose gel electrophoresis. Receiver Operating Characteristic (ROC) Curve was drawn to analyze diagnostic value. Actinomycin D and nuclear and cytoplasmic extraction assays were utilized to evaluate the characteristics of hsa_circ_0005397. Cell Counting kit-8 (CCK-8) and colony formation assays were performed to detect cell proliferation. Flow cytometry analysis was used to detect the cell cycle. Transwell assay was performed to determine migration and invasion ability. RNA-binding proteins (RBPs) of hsa_circ_0005397 in HCC were explored using bioinformatics websites. The relationship between hsa_circ_0005397 and Eukaryotic Translation Initiation Factor 4A3 (EIF4A3) was verified by RNA Binding Protein Immunoprecipitation (RIP) assays, correlation and rescue experiments.ResultsIn this study, hsa_circ_0005397 was found to be significantly upregulated in HCC, and the good diagnostic sensitivity and specificity shown a potential diagnostic capability. Upregulated expression of hsa_circ_0005397 was significantly related to tumor size and stage. Hsa_circ_0005397 was circular structure which more stable than liner mRNA, and mostly distributed in the cytoplasm. Upregulation of hsa_circ_0005397 generally resulted in stronger proliferative ability, clonality, and metastatic potency of HCC cells; its downregulation yielded the opposite results. EIF4A3 is an RNA-binding protein of hsa_circ_0005397, which overexpressed in paired HCC tissues and cell lines. In addition, expression of hsa_circ_0005397 decreased equally when EIF4A3 was depleted. RIP assays and correlation assay estimated that EIF4A3 could interacted with hsa_circ_0005397. Knockdown of EIF4A3 could reverse hsa_circ_0005397 function in HCC progression.ConclusionsHsa_circ_0005397 promotes progression of hepatocellular carcinoma through EIF4A3. These research findings may provide novel clinical value for hepatocellular carcinoma.

MICAL2 implies immunosuppressive features and acts as an independent and adverse prognostic biomarker in pancreatic cancer

At present, clinical outcomes of pancreatic cancer patients are still poor. New therapeutic targets for pancreatic cancer are urgently needed. Previous studies have indicated that Microtubule Associated Monooxygenase, Calponin and LIM Domain Containing 2 (MICAL2) is highly expressed in many tumors and promotes tumor progression. However, the role played by MICAL2 in pancreatic cancer remains unclear. Based on gene expression and clinical information from multiple datasets, we used comprehensive bioinformatics analysis in combination with tissue microarray to explore the function and clinical value of MICAL2. The results showed that MICAL2 was highly expressed in pancreatic cancer tissue and exhibited potential diagnostic capability. High expression of MICAL2 was also associated with poor prognosis and acted as an independent prognostic factor. MICAL2, mainly expressed in fibroblasts of pancreatic cancer, was closely related to metastasis and immune-related features, such as epithelial-mesenchymal transformation, extracellular cell matrix degradation, and inflammatory response. Furthermore, higher MICAL2 expression in pancreatic cancer was also associated with an increase in cancer-associated fibroblasts as well as M2 macrophage infiltration, and a reduction in CD8 + T cell infiltration, thereby facilitating the formation of an immunosuppressive microenvironment. Our results helped elucidate the clinical value and function in metastasis and immunity of MICAL2 in pancreatic cancer. These findings provided potential clinical strategies for diagnosis, targeted therapy combination immunotherapy, and prognosis in patients with pancreatic cancer.

Diagnostic Performance of Ultrasonography for Diabetic Foot Osteomyelitis.

Objective: This study aims to analyze the potential diagnostic capability of ultrasonography (US) in detecting diabetic foot osteomyelitis (DFO) in patients with diabetic foot ulcers (DFUs). Approach: A 1-year prospective study was conducted on 47 consecutive patients with active DFUs and suspicion of DFO at a specialized diabetic foot unit. The following ultrasonographic features were evaluated at baseline: (1) periosteal reaction; (2) periosteal elevation; (3) cortical disruption; (4) sequestrum; and (5) positive power Doppler. The primary outcome measure aimed to establish the effectiveness of ultrasonographic features compared with aseptic bone culture for diagnosing DFO. Receiver operating characteristic (ROC) curves were utilized to evaluate the diagnostic performance of ultrasonographic features. Sample size could not be determined as it is the first study to assess ultrasonographic features for the diagnosis of DFO. The research adhered to the guidelines for diagnostic accuracy studies (Standards for Reporting of Diagnostic Accuracy Studies [STARD] 2015). Results: All patients (n = 24) diagnosed with DFO exhibited positive power Doppler, resulting in a sensitivity (S) and specificity (SP) of 1 and an area under the curve (AUC) of 1 (p < 0.001 [1-1]). Cortical disruption was present in 23 patients (95.8%) with DFO, yielding an S of 0.93, SP of 1, and AUC of 0.96 (p < 0.001 [0.88-1]). Innovation: It validates the diagnostic value of US for DFO as it is the first and largest study of its kind to establish a clear reference standard to guide clinician decision-making. Conclusion: This study demonstrates the effectiveness of cortical disruption and positive power Doppler in assessing DFO through US.

Review–Vibrational spectroscopy‐aided diagnosis, prognosis and treatment of inflammatory bowel disease

AbstractBackgroundInflammatory bowel disease (IBD) represents a group of chronic gastrointestinal disorders characterised by complex and multifaceted pathologies. The pursuit of non‐invasive, accurate and rapid diagnostic methods and therapeutic monitoring tools has led to the emergence of Raman spectroscopy (RS) as a promising analytical technique in the field of IBD. RS offers molecular specificity with the potential to uncover valuable insights of the pathophysiology of IBD, posing it as a rapidly growing field of interest in both research and clinical settings.MainThis comprehensive review aims to provide an overview of the current state of research in the field of IBD‐RS, with an emphasis on its potential diagnostic, prognostic, and therapeutic monitoring capabilities. We explore the molecular characterisation of bodily fluids including blood, urine and saliva and the ability of RS to rapidly determine the underpinning biochemical changes in their composition. The review also highlights recent studies and advances, that have employed RS to differentiate between healthy and diseased states, classify the IBD subtypes, identify candidate biomarkers and to monitor the therapeutic response to treatment in the form of mucosal healing. Additionally, we comment on the challenges and limitations associated with current research as well as with the clinical translation of RS for IBD diagnosis.ConclusionsAs the field of vibrational spectroscopies continues to evolve particularly in the broader IBD context, to aid the diagnosis, prognosis and treatment, this review serves as a valuable resource for clinicians and researchers alike, examining the potential of Raman‐based spectroscopy and the emerging technologies to advance the understanding and triaging of IBD. Ultimately, the integration of RS into everyday clinical practice holds promise for more effective management of IBDs, addressing the major unmet need in the fields of gastroenterology and of clinical medicine as a whole.

Current Molecular, Cellular and Genetic Aspects of Peri-Implantitis Disease: A Narrative Review

(1) Background: Peri-implantitis is a multi-factorial disease with an inflammatory background that occurs in both soft and hard tissues surrounding implants. In recent years, the understanding of the cellular, molecular and genetic background of peri-implantitis has broadened. This study aims to summarize the currently available articles on the subject and highlight the most recent advances over the last 20 years. (2) Methods: For this study, the Embase and PubMed libraries were searched using the keywords: ("peri-implantitis" AND "cytokine" OR "genetics" OR "cellular") and ("peri-implantitis" AND "cytokine" OR "genetics" OR "cellular" AND "risk factors"). The search revealed a total of 3013 articles (992 from PubMed, 2021 from Embase). Following screening of the titles and abstracts and full-text reads, 55 articles were included. (3) Results: In peri-implantitis IL-6, IL-1β, TNF-α, MMP-8 and their genetic variations appear to be the most important cytokines in relation to not only pathogenesis, but also their potential diagnostic capabilities. Epithelial and inflammatory cells, along with those of the bone lineage, are prime cellular elements found in peri-implantitis. (4) Conclusions: A wide array of cells stand behind peri-implantitis, as well as cytokines and their genetic variations that take part in the process. However, the growing interest in this topic has led to the introduction of specific new diagnostic tools to enable a better understanding of patients' responses to treatment and, in turn, to even enable prediction of the risk of developing peri-implant disease.

Comparative evaluation of ZMYND-8 and RARβ2 genes promoters’ methylation changes in tumor and tumor margin tissues of patients with lung cancer

BackgroundLung cancer remains one of the most lethal carcinomas worldwide because of its late diagnosis. One of the DNA modifications is methylation, one of the primary alterations of tumor development, consisting of fascinating indicators for cancer diagnosis. This study investigated ZMYND-8 and RARβ2 gene methylation in NSCLC as a new epigenetic tool.MethodsFirst, to find out the potential diagnostic capability of ZMYND-8 and RARβ2 genes methylation, we entirely surfed DNA methylation microarrays from the Cancer Genome Atlas (TCGA) data of NSCLC samples. Additionally, we took advantage of using q-MSP in several pieces comprising NSCLC tumors and neighboring normal tissues; ZMYND-8 and RARβ2 genes methylation grades were acquired.ResultsOur finding displayed significant hypomethylation of ZMYND-8 and hypermethylation of RARβ2 in NSCLC samples compared to neighboring standard specimens, which significantly correlated with the clinical stage of malignancy. In addition, the incredible precision of ZMYND-8 and RARβ2 methylations as reliable cancer diagnosis indicators in NSCLC was confirmed, drawing the ROC curve analysis with an AUC value of 0.751 and 0.8676, respectively, for ZMYND-8 and RARβ2. Additional studies of other dominant cancer entities in TCGA displayed that RARβ2’s higher methylation degree and ZMYND-8 lower methylation degree are prevalent changes in tumor evolution which could be possibly considered as a potential diagnostic biomarkers for lung cancer.ConclusionBased on this study, ZMYND-8 and RARβ2 methylation are reliable biomarkers for lung cancer.

Acoustofluidic semen analysis for veterinary male bovine infertility assessment

We demonstrate through the use of a unique acoustically driven microfluidic extensional rheometry platform (ADMiER) that a single measurement – i.e. the time required for a liquid bridge filament comprising a microlitre semen sample to thin and break up under elastocapillary stresses – constitutes an appropriate proxy for quantifying the motile sperm concentration of the sample in place of computer-assisted sperm analysis (CASA) and haemocytometer measurements used in conventional semen assessment – without the need to separately resolve for individual dependencies on each sperm parameter. By benchmarking diagnostic test accuracy results of blind random bull semen samples ( $n=35$ ) against OpenCASA measurements of these parameters, ADMiER is capable of predicting sperm quality to 93.7 % accuracy, 91.4 % sensitivity and 97.5 % specificity, with respect to commonly adopted veterinary industry minimum values for fertility. These results therefore highlight the potential diagnostic capability of the platform as a conceptual first step towards the development of a rapid, low-cost and portable alternative for veterinary male bovine fertility assessment.

Hepcidin as a Diagnostic Biomarker in Anaemic Lung Cancer Patients.

We aim to describe the characteristics of hepcidin, IL-6, and TNF-α levels in anaemia of lung cancer patients with operative tumour as well as to investigate the potential diagnostic capabilities of hepcidin in combination with IL-6, TNF-α, and acute phase proteins. We present a retrospective study of 112 lung cancer patients (41 women and 71 men) who were surgically treated at the Lower Silesian Centre for Lung Diseases in Wroclaw, Poland. Serum blood samples were collected from all these patients prior to any surgical treatment and used to determine hepcidin, IL-6, TNF-α, SAA1, and CRP concentrations. Patients were also examined with a complete blood count several times during their hospitalization. The female and male groups were divided based on the occurrence of anaemia during their hospitalization. Patients who developed anaemia post-operatively had significantly lower hepcidin concentrations than non-anaemic patients (p = 0.000694 in females with ≥3 complete blood count examinations and p = 0.007905 in males with 2 complete blood count examinations), whereas patients with anaemia since hospital admission had higher hepcidin concentrations. We observed two hepcidin roles related to two cancer anaemia pathogeneses: (1) higher hepcidin concentrations in patients with anaemia since hospital admission (anaemia of inflammation) and (2) lower hepcidin concentrations in patients who developed anaemia after surgery (anaemia of iron deficiency). Our data support the role of hepcidin, IL-6, and TNF-α in cancer-related anaemia and provide diagnostic values for predicting post-operative anaemia in lung cancer patients.

Potential Value of Visfatin, Omentin-1, Nesfatin-1 and Apelin in Renal Cell Carcinoma (RCC): A Systematic Review and Meta-Analysis.

Renal cell carcinoma (RCC) is the most lethal genitourinary malignancy. Obesity is a risk factor for RCC development. The role of adipokines in the relationship between obesity and RCC requires confirmatory evidence in the form of a systematic review and meta-analysis, specifically for visfatin, omentin-1, nesfatin-1 and apelin. A search of databases up to July 2022 (PubMed, Web of Science and Scopus) for studies reporting the association of these selected adipokines with RCC was conducted. A total of 13 studies fulfilled the selection criteria. Only visfatin (p &lt; 0.05) and nesfatin-1 (p &lt; 0.05) had a significant association with RCC. Meanwhile, apelin and omentin-1 showed no association with RCC. The meta-analysis results of nesfatin-1 showed no association with early-stage (OR = 0.09, 95% CI = -0.12-0.29, p = 0.41), late-stage (OR = 0.36, 95% CI = 0.07-1.89, p = 0.23) and low-grade (OR = 1.75, 95% CI = 0.37-8.27, p = 0.48) RCC. However, nesfatin-1 showed an association with a high grade of the disease (OR = 0.29, 95% CI = 0.13-0.61, p = 0.001) and poorer overall survival (OS) (HR = 3.86, 95% CI = 2.18-6.85; p &lt; 0.01). Apelin showed no association with the risk of RCC development (mean difference = 21.15, 95% CI = -23.69-65.99, p = 0.36) and OS (HR = 1.04, 95% Cl = 0.45-2.41; p = 0.92). Although the number of studies evaluated was limited, analysis from this systematic review and meta-analysis indicate that visfatin and nesfatin-1 were elevated. In summary, these adipokines may play a role in the development and progression of RCC and hence may have potential diagnostic and prognostic capabilities for RCC.

Chronic Mild Traumatic Brain Injury: Aberrant Static and Dynamic Connectomic Features Identified Through Machine Learning Model Fusion

Traumatic Brain Injury (TBI) is a frequently occurring condition and approximately 90% of TBI cases are classified as mild (mTBI). However, conventional MRI has limited diagnostic and prognostic value, thus warranting the utilization of additional imaging modalities and analysis procedures. The functional connectomic approach using resting-state functional MRI (rs-fMRI) has shown great potential and promising diagnostic capabilities across multiple clinical scenarios, including mTBI. Additionally, there is increasing recognition of a fundamental role of brain dynamics in healthy and pathological cognition. Here, we undertake an in-depth investigation of mTBI-related connectomic disturbances and their emotional and cognitive correlates. We leveraged machine learning and graph theory to combine static and dynamic functional connectivity (FC) with regional entropy values, achieving classification accuracy up to 75% (77, 74 and 76% precision, sensitivity and specificity, respectively). As compared to healthy controls, the mTBI group displayed hypoconnectivity in the temporal poles, which correlated positively with semantic (r = 0.43, p < 0.008) and phonemic verbal fluency (r = 0.46, p < 0.004), while hypoconnectivity in the right dorsal posterior cingulate correlated positively with depression symptom severity (r = 0.54, p < 0.0006). These results highlight the importance of residual FC in these regions for preserved cognitive and emotional function in mTBI. Conversely, hyperconnectivity was observed in the right precentral and supramarginal gyri, which correlated negatively with semantic verbal fluency (r=-0.47, p < 0.003), indicating a potential ineffective compensatory mechanism. These novel results are promising toward understanding the pathophysiology of mTBI and explaining some of its most lingering emotional and cognitive symptoms.

A multifunctional metal regulator as the potential theranostic agent: Design, synthesis, anti-AD activities and metallic ion sensing properties

Although there is no cure for Alzheimer’s disease (AD) due to its complex pathogenesis, early detection and treatment can help delay the development of the disease. So, it is necessary to develop multifunctional metal regulators that can integrate the therapeutics and diagnostics effect against AD. In this work, N-(anthracene-9-ylmethylene)benzohydrazide (probe 1), a fluorescent probe with imine and carbonyl as chelating sites was designed and synthesized. Results showed that 1 had good activities related to AD, such as regulation of metal homeostasis, inhibition of β-amyloid (Aβ) aggregation and scavenging of reactive oxygen species. The selectivity experiment showed that probe 1 had a good recognition effect on Cu2+. Fluorescence imaging assay also indicated that probe 1 had a good fluorescence imaging effect on Cu2+ in living cells. Furthermore, probe 1 had showed no cytotoxicity and good BBB permeability. These results indicated that probe 1 had potential diagnostic and therapeutic capabilities, and can be used as the multifunctional theranostic agent for AD.

Simulated diagnostic performance of low-field MRI: Harnessing open-access datasets to evaluate novel devices

The purpose of this study is to demonstrate a method for virtually evaluating novel imaging devices using machine learning and open-access datasets, here applied to a new, low-field strength portable 64mT MRI device. Paired 3 T and 64mT brain images were used to develop and validate a transformation converting standard clinical images to low-field quality images. Separately, 3 T images were aggregated from open-source databases spanning four neuropathologies: low-grade glioma (LGG, N = 76), high-grade glioma (HGG, N = 259), stroke (N = 28), and multiple sclerosis (MS, N = 20). The transformation method was then applied to the open-source data to generate simulated low-field images for each pathology. Convolutional neural networks (DenseNet-121) were trained to detect pathology in axial slices from either 3 T or simulated 64 mT images, and their relative performance was compared to characterize the potential diagnostic capabilities of low-field imaging. Algorithm performance was measured using area under the receiver operating characteristic curve. Across all cohorts, pathology detection was similar between 3 T and simulated 64mT images (LGG: 0.97 vs. 0.98; HGG: 0.96 vs. 0.95; stroke: 0.94 vs. 0.94; MS: 0.90 vs 0.87). Pathology detection was further characterized as a function of lesion size, intensity, and contrast. Simulated images showed decreasing sensitivity for lesions smaller than 4 cm2. While simulations cannot replace prospective trials during the evaluation of medical devices, they can provide guidance and justification for prospective studies. Simulated data derived from open-source imaging databases may facilitate testing and validation of new imaging devices.

Metal Sulfide Semiconductor Nanomaterials and Polymer Microgels for Biomedical Applications.

The development of nanomaterials with therapeutic and/or diagnostic properties has been an active area of research in biomedical sciences over the past decade. Nanomaterials have been identified as significant medical tools with potential therapeutic and diagnostic capabilities that are practically impossible to accomplish using larger molecules or bulk materials. Fabrication of nanomaterials is the most effective platform to engineer therapeutic agents and delivery systems for the treatment of cancer. This is mostly due to the high selectivity of nanomaterials for cancerous cells, which is attributable to the porous morphology of tumour cells which allows nanomaterials to accumulate more in tumour cells more than in normal cells. Nanomaterials can be used as potential drug delivery systems since they exist in similar scale as proteins. The unique properties of nanomaterials have drawn a lot of interest from researchers in search of new chemotherapeutic treatment for cancer. Metal sulfide nanomaterials have emerged as the most used frameworks in the past decade, but they tend to aggregate because of their high surface energy which triggers the thermodynamically favoured interaction. Stabilizing agents such as polymer and microgels have been utilized to inhibit the particles from any aggregations. In this review, we explore the development of metal sulfide polymer/microgel nanocomposites as therapeutic agents against cancerous cells.

Airgap and stray magnetic flux monitoring techniques for fault diagnosis of electrical machines: An overview

Flux-based fault diagnosis methods have attracted ever-increasing attention from technical communities because of their potential diagnostic capabilities and ability to overcome weaknesses of the traditional methods such as motor current signature analysis (MCSA). This study reviews recent literature on these methods and addresses their strengths and limitations. Different types of flux sensors that can be used for fault diagnosis applications are also discussed. Flux-based approaches are classified based on the type of utilised flux into internal (airgap flux) and external (stray flux) methods and compared with each other. The most common faults in both induction machines (IMs) and permanent magnet machines (PMMs), including inter-turn short-circuit (ITSC), airgap eccentricity (AGE), rotor broken bars (BRB), and irreversible demagnetisation (IDM) faults, are considered in this review. Finally, research gaps are identified, and some suggestions for future research in this area are provided.

The value of the signal intensity of peritumoral tissue on Gd-EOB-DTPA dynamic enhanced MRI in assessment of microvascular invasion and pathological grade of hepatocellular carcinoma.

The aim of the study was to assess the potential role of preoperative gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) dynamic enhanced MR imaging for diagnosing microvascular invasion (MVI) and pathological grade of hepatocellular carcinoma (HCC).A total of 113 consecutive HCC patients confirmed by histopathology underwent preoperative Gd-EOB-DTPA dynamic enhanced MRI were included. Signal intensity (SI) of peritumoral, normal liver tissue and tumor parenchyma during arterial phase and hepatobiliary phase (HBP) were analyzed. The receiver operating characteristic (ROC) curves were performed to assess the potential diagnostic capability for MVI and pathological grade of HCC. Kaplan–Meier method was performed to estimate the recurrence-free survival rate and compared using the log rank test.SI ratio of peritumoral tissue to normal liver in arterial phase (SIAp/Al) was independently associated with MVI [odds ratio (OR) = 3.115, 95% confidence interval (CI): 1.867–5.198] and pathological grades (OR = 1.437, 95% CI: 1.042–1.981). The area under the curve (AUC) of SIAp/Al was equivalent to the SI of tumor parenchyma on arterial phase (SIAt) in distinguishing low and high pathological grades. However, the AUC of SIAp/Al (0.851) was larger than peritumoral hypointensity on HBP (0.668) for distinguishing MVI. The recurrence-free survival rate of HCC patients with SIAp/Al<1.1 was higher than HCC with SIAp/Al≥1.1(P = .025).The SIAp/Al in preoperative Gd-EOB-DTPA dynamic enhanced MR imaging is a potential diagnosis marker for MVI and pathological grade of HCC noninvasively. The higher SIAp/Al may predict the poor prognosis of HCC after surgery.

Mimovirus Vesicle‐Based Biological Orthogonal Reaction for Cancer Diagnosis

AbstractHerein, a tumor microenvironment (TME)‐responsive mimovirus vesicle (MVV) is engineered to deliver azide motifs (–N3) via the membrane fusion mechanism for cancer diagnosis. As a pH‐responsive functional protein, the spike vesicular stomatitis virus G‐protein (VSVG) is genetically immobilized on surface of cell membrane vesicles. By virtue of the low‐pH activated fusogenic peculiarity of VSVG, the –N3 groups, which are also presented on MVVs via metabolic engineering, can be directly anchored onto the target cells, thus reducing tumor heterogeneity and serving as the bait to amplify the tumor targeting of dibenzocyclooctyne‐modified diagnostic moieties. The potential diagnostic capability of such design is successfully confirmed in three different murine tumor models. Featuring excellent pH‐sensitive fusogenic traits, the developed MVVs show great responsiveness to the slightly acidic TME of solid tumors, providing a universal platform in overcoming tumor heterogeneity for precise cancer diagnosis.

Identification of salivary volatile organic compounds as potential markers of stomach and colorectal cancer: A pilot study

ObjectivesThe purpose of the pilot study was to determine the potential diagnostic capabilities for the analysis of oxygen-containing salivary volatile organic compounds (VOCs) in stomach and colorectal cancer. MethodsSaliva samples of 11 patients with stomach cancer, 18 patients with colorectal cancer, and 16 healthy volunteers were analyzed through capillary gas chromatography. The levels of lipid peroxidation products and catalase activity were determined in all samples. To assess saliva diagnostic potential, we constructed a Classification and Regression Tree (CART). ResultsIt was shown that the use of a combination of saliva VOCs (acetaldehyde, acetone, propanol-2, and ethanol) allowed classification into Cancer/Control groups with a sensitivity and specificity of 95.7 and 90.9%, respectively. To clarify the location of the tumor, it was necessary to add a methanol level; in this case, the sensitivity for detecting stomach and colorectal cancer was 80.0% and 92.3%, respectively, while the specificity in both cases was 100%. When the lipid peroxidation product content was added to the VOC indicators, they were selected as the main factors for constructing the decision tree. For classification into Cancer/Control groups, only the triene conjugate and Schiff base content in saliva was sufficient. The combination of VOCs in saliva and lipid peroxidation indices improved the sensitivity and specificity for classification to 100%. ConclusionPreliminary data were obtained on the sensitivity and specificity of the diagnosis of stomach and colorectal cancer, which confirmed the promise of further studies on saliva VOCs for the purpose of clinical laboratory diagnostics.

Development of a novel dual priming oligonucleotide system‐based PCR assay for specific detection of Salmonella from food samples

AbstractIn this study, a novel dual priming oligonucleotide (DPO) system‐based polymerase chain reaction (PCR; DPO system‐based PCR) assay, which detected the fimY gene of Salmonella, was developed for the fast food testing. The DPO system‐based PCR assay allowed a wide range of annealing temperatures at 48–68°C to efficiently amplify fimY gene with an analytical detection limit of 1.2 × 102 CFU/ml for Salmonella in pure cultures and artificially contaminated food matrix. Significantly, the presence of a bubble‐like polydeoxyinosine (polyI) linker in the DPO system brought an unparalleled high specificity in the identification of target bacteria, and consequently, the false positives and mismatches of PCR process can be eliminated in priming. Applying the DPO system‐based PCR assay to 285 collected food samples revealed that 29 samples were positive in this assay, in accordance with the results of conventional culture‐based method, indicating a potential diagnostic capability. The high specificity of the DPO system‐based PCR indicates its great potential to be a quick, reliable and practical method for the detection of Salmonella in foods.