Loss of UBE2S causes meiosis I arrest with normal spindle assembly checkpoint dynamics in mouse oocytes.

The timely degradation of proteins that regulate the cell cycle is essential for oocyte maturation. Oocytes are equipped to degrade proteins via the ubiquitin-proteasome system. In meiosis, anaphase promoting complex/cyclosome (APC/C), an E3 ubiquitin-ligase, is responsible for the degradation of proteins. Ubiquitin-conjugating enzyme E2 S (UBE2S), an E2 ubiquitin-conjugating enzyme, delivers ubiquitin to APC/C. APC/C has been extensively studied, but the functions of UBE2S in oocyte maturation and mouse fertility are not clear. In this study, we used Ube2s knockout mice to explore the role of UBE2S in mouse oocytes. Ube2s-deleted oocytes were characterized by meiosis I arrest with normal spindle assembly and spindle assembly checkpoint dynamics. However, the absence of UBE2S affected the activity of APC/C. Cyclin B1 and securin are two substrates of APC/C, and their levels were consistently high, resulting in the failure of homologous chromosome separation. Unexpectedly, the oocytes arrested in meiosis I could be fertilized and the embryos could become implanted normally, but died before embryonic day 10.5. In conclusion, our findings reveal an indispensable regulatory role of UBE2S in mouse oocyte meiosis and female fertility.

DGSIST: Clustering spatial transcriptome data based on deep graph structure Infomax.

Although spatial transcriptomics data provide valuable insights into gene expression profiles and the spatial structure of tissues, most studies rely solely on gene expression information, underutilizing the spatial data. To fully leverage the potential of spatial transcriptomics and graph neural networks, the DGSI (Deep Graph Structure Infomax) model is proposed. This innovative graph data processing model uses graph convolutional neural networks and employs an unsupervised learning approach. It maximizes the mutual information between graph-level and node-level representations, emphasizing flexible sampling and aggregation of nodes and their neighbors. This effectively captures and incorporates local information from nodes into the overall graph structure. Additionally, this paper developed the DGSIST framework, an unsupervised cell clustering method that integrates the DGSI model, SVD dimensionality reduction algorithm, and k-means++ clustering algorithm. This aims to identify cell types accurately. DGSIST fully uses spatial transcriptomics data and outperforms existing methods in accuracy. Demonstrations of DGSIST's capability across various tissue types and technological platforms have shown its effectiveness in accurately identifying spatial domains in multiple tissue sections. Compared to other spatial clustering methods, DGSIST excels in cell clustering and effectively eliminates batch effects without needing batch correction. DGSIST excels in spatial clustering analysis, spatial variation identification, and differential gene expression detection and directly applies to graph analysis tasks, such as node classification, link prediction, or graph clustering. Anticipation lies in the contribution of the DGSIST framework to a deeper understanding of the spatial organizational structures of diseases such as cancer.

Mated-Atom Nanozymes with Efficient Assisted NAD+ Replenishment for Skin Regeneration.

Excessive accumulation of reduced nicotinamide adenine dinucleotide (NADH) within biological organisms is closely associated with many diseases. It remains a challenge to efficiently convert superfluous and detrimental NADH to NAD+. NADH oxidase (NOX) is a crucial oxidoreductase that catalyzes the oxidation of NADH to NAD+. Herein, M1M2 (Mi=V/Mn/Fe/Co/Cu/Mo/Rh/Ru/Pd, i = 1 or 2) mated-atom nanozymes (MANs) are designed by mimicking natural enzymes with polymetallic active centers. Excitingly, RhCo MAN possesses excellent and sustainable NOX-like activity, with Km-NADH (16.11 µM) being lower than that of NOX-mimics reported so far. Thus, RhCo MAN can significantly promote the regeneration of NAD+ and regulate macrophage polarization toward the M2 phenotype through down-regulation of TLR4 expression, which may help to recover skin regeneration. However, RhRu MAN with peroxidase-like activity and RhMn MAN with superoxide dismutase-like activity exhibit little modulating effects on eczema. This work provides a new strategy to inhibit skin inflammation and promote skin regeneration.

Glutamine metabolism prognostic index predicts tumour microenvironment characteristics and therapeutic efficacy in ovarian cancer.

Mounting evidence has highlighted the multifunctional characteristics of glutamine metabolism (GM) in cancer initiation, progression and therapeutic regimens. However, the overall role of GM in the tumour microenvironment (TME), clinical stratification and therapeutic efficacy in patients with ovarian cancer (OC) has not been fully elucidated. Here, three distinct GM clusters were identified and exhibited different prognostic values, biological functions and immune infiltration in TME. Subsequently, glutamine metabolism prognostic index (GMPI) was constructed as a new scoring model to quantify the GM subtypes and was verified as an independent predictor of OC. Patients with low-GMPI exhibited favourable survival outcomes, lower enrichment of several oncogenic pathways, less immunosuppressive cell infiltration and better immunotherapy responses. Single-cell sequencing analysis revealed a unique evolutionary trajectory of OC cells from high-GMPI to low-GMPI, and OC cells with different GMPI might communicate with distinct cell populations through ligand-receptor interactions. Critically, the therapeutic efficacy of several drug candidates was validated based on patient-derived organoids (PDOs). The proposed GMPI could serve as a reliable signature for predicting patient prognosis and contribute to optimising therapeutic strategies for OC.

BRD9 promotes the progression of gallbladder cancer via CST1 upregulation and interaction with FOXP1 through the PI3K/AKT pathway and represents a therapeutic target.

Gallbladder cancer (GBC) is highly aggressive and has poor prognosis, with most patients only diagnosed at an advanced stage. Furthermore, treatment options are limited, and their effect is unsatisfactory. Bromodomain-containing protein (BRD) is an epigenetic regulator that plays a carcinogenic role in several tumors, including squamous cell lung cancer, acute myeloid leukemia, synovial sarcoma, and malignant rhabdomyosarcoma. However, the expression, biological function, and molecular mechanisms of action of BRD9 in GBC are still unknown. Kaplan-Meier analysis, qRT-PCR, and analysis of clinical features were used to assess the clinical significance of BRD9 in GBC. Cell Counting Kit-8 and colony formation assays were performed to determine the effects of BRD9 on cell growth. The functional role of BRD9 in GBC was explored using qRT-PCR, western blotting, siRNA, and CHIP-qPCR. mRNA sequencing was performed to explore the underlying mechanisms of BRD9, and a nude mouse model of GBC was established to explore the anti-tumor effects of the BRD9 inhibitor I-BRD9 in vivo. BRD9 expression was elevated in GBC tissues compared with adjacent non-tumor tissues, and high BRD9 expression was associated with poor prognosis in patients with GBC. BRD9 knockdown by siRNA significantly decreased cell growth. Targeting BRD9 with I-BRD9 inhibited the proliferation of GBC cells without significant toxic effects. Additionally, I-BRD9 treatment suppressed CST1 expression in GBC cell lines, thereby inhibiting the PI3K-AKT pathway. The transcription factor FOXP1 was found to interact with BRD9 to regulate CST1 expression. Collectively, these results suggest that BRD9 may be a promising biomarker and therapeutic target for GBC.

Analysis of gut microbiota of ladybug beetle (Harmonia axyridis) after feeding on different artificial diets.

BACKGROUND: Harmonia axyridis is an effective natural enemy insect to a variety of phloem-sucking pests and Lepidopteran larvae, such as aphids, scabies, and phylloxera, while its industrial production is limited due to unmature artificial diet. Insect intestinal microbiota affect host development and reproduction. The aim of this study is to understand intestinal microbiota composition of H. axyridis and screen effective probiotics on artificial diet. Considering the role of the components and composition of the diet on the structure and composition of the intestinal microbiome, four kinds of diets were set up: (1) aphid; (2) basic diet; (3) basic diet + glucose; (4) basic diet + trehalose. The gut microbiota of H. axyridis was detected after feeding on different diets. RESULTS: Results showed that the gut microbiota between artificial diet group and aphid groups were far apart, while the basic and glucose groups were clearly clustered. Besides, the glucose group and trehalose group had one unique phylum, Cryptophyta and Candidatus Saccharibacteria, respectively. The highest abundance of Proteobacteria was found in the aphid diet. The highest abundance of Firmicutes was found in the basic diet. However, the addition of glucose or trehalose alleviated the change. In addition, the relative abundance of Enterobacter, Klebsiella, Enterobacteriaceae_unclassified, Enterobacteriales_unclassified and Serratia in the aphid group was higher than other groups. Moreover, the function of gut genes in each group also showed clear differences. CONCLUSION: These results have offered a strong link between artificial diets and gut microbes, and also have provided a theoretical basis for the screening of synergistic probiotics in artificial diet.

In Vivo Toxicology of Metabolizable Atomically Precise Au25 Clusters at Ultrahigh Doses.

Ultrasmall Au25(MPA)18 clusters show great potential in biocatalysts and bioimaging due to their well-defined, tunable structure and properties. Hence, in vivo pharmacokinetics and toxicity of Au nanoclusters (Au NCs) are very important for clinical translation, especially at high dosages. Herein, the in vivo hematological, tissue, and neurological effects following exposure to Au NCs (300 and 500 mg kg-1) were investigated, in which the concentration is 10 times higher than in therapeutic use. The biochemical and hematological parameters of the injected Au NCs were within normal limits, even at the ultrahigh level of 500 mg kg-1. Meanwhile, no histopathological changes were observed in the Au NC group, and immunofluorescence staining showed no obvious lesions in the major organs. Furthermore, real-time near-infrared-II (NIR-II) imaging showed that most of the Au25(MPA)18 and Au24Zn1(MPA)18 can be metabolized via the kidney. The results demonstrated that Au NCs exhibit good biosafety by evaluating the manifestation of toxic effects on major organs at ultrahigh doses, providing reliable data for their application in biomedicine.

Development and Evaluation of DOTA-FAPI-Maleimide as a Novel Radiotracer for Tumor Theranostic with Extended Circulation.

This study aimed to evaluate a novel albumin-binding strategy for addressing the challenge of insufficient tumor retention of fibroblast activation protein inhibitors (FAPIs). Maleimide, a molecule capable of covalent binding to free thiol groups, was modified to conjugate with FAPI-04 in order to enhance its binding to endogenous albumin, resulting in an extended blood circulation half-life and increased tumor uptake. DOTA-FAPI-maleimide was prepared and radiolabeled with Ga-68 and Lu-177, followed by cellular assays, pharmacokinetic analysis, PET/CT, and SPECT/CT imaging to assess the probe distribution in various tumor-bearing models. Radiolabeling of the modified probe was successfully achieved with a radiochemical yield of over 99% and remained stable for 144 h. Cellular assays showed that the ligand concentration required for 50% inhibition of the probe was 1.20 ± 0.31 nM, and the Kd was 0.70 ± 0.07 nM with a Bmax of 7.94 ± 0.16 fmol/cell, indicative of higher specificity and affinity of DOTA-FAPI-maleimide compared to other FAPI-04 variants. In addition, DOTA-FAPI-maleimide exhibited a persistent blood clearance half-life of 7.11 ± 0.34 h. PET/CT images showed a tumor uptake of 2.20 ± 0.44%ID/g at 0.5 h p.i., with a tumor/muscle ratio of 5.64 in HT-1080-FAP tumor-bearing models. SPECT/CT images demonstrated long-lasting tumor retention. At 24 h p.i., the tumor uptake of [177Lu]Lu-DOTA-FAPI-maleimide reached 5.04 ± 1.67%ID/g, with stable tumor retention of 3.40 ± 1.95%ID/g after 4 days p.i. In conclusion, we developed and evaluated the thiol group-attaching strategy, which significantly extended the circulation and tumor retention of the adapted FAPI tracer. We envision its potential application for clinical cancer theranostics.

Comprehensive Insight into the Common Organic Radicals in Advanced Oxidation Processes for Water Decontamination.

Radical-based advanced oxidation processes (AOPs) are among the most effective technologies employed to destroy organic pollutants. Compared to common inorganic radicals, such as •OH, O2•-, and SO4•-, organic radicals are widespread, and more selective, but are easily overlooked. Furthermore, a systematic understanding of the generation and contributions of organic radicals remains lacking. In this review, we systematically summarize the properties, possible generation pathways, detection methods, and contributions of organic radicals in AOPs. Notably, exploring organic radicals in AOPs is challenging due to (1) limited detection methods for generated organic radicals; (2) controversial organic radical-mediated reaction mechanisms; and (3) rapid transformation of organic radicals as reaction intermediates. In addition to their characteristics and reactivity, we examine potential scenarios of organic radical generation in AOPs, including during the peroxide activation process, in water matrices or with coexisting organic pollutants, and due to the addition of quenching agents. Subsequently, we summarize various methods for organic radical detection as reported previously, such as electron paramagnetic resonance spectroscopy (EPR), 31P nuclear magnetic resonance spectroscopy (31P NMR), liquid/gas chromatography-mass spectroscopy (GC/LC-MS), and fluorescence probes. Finally, we review the contributions of organic radicals to decontamination processes and provide recommendations for future research.

Non-Tuberculous Mycobacterial Pulmonary Disease with Detection of Mycobacterium Tuberculosis in Pleural Fluid.

BACKGROUND: Tuberculous pleurisy (TP) is one of the most common types of extrapulmonary tuberculosis, often secondary to tuberculosis (TB). Clinical and imaging manifestations of non-tuberculous mycobacterial pulmonary diseases (NTM-PD) are usually similar to those of tuberculosis. Because of their similarity and the high incidence of tuberculosis, non-tuberculous mycobacterial infections are often overlooked for a long time. Especially in people without immunodeficiency. METHODS: Mycobacterium tuberculosis (MTB) in pleural effusion was found by metagenomic next-generation sequencing (mNGS). During anti-tuberculosis treatment, mNGS of lung tissue by ultrasound-guided percutaneous lung puncture revealed that this patient had combined NTM-PD. RESULTS: Mycobacterium chelonae (M. chelonae) was detected by mNGS, and after anti-NTM treatment, the patient's chest CT showed that the inflammation was absorbed more than before, and the patient's symptoms improved. CONCLUSIONS: When TB is poorly treated with standardized anti-tuberculosis therapy, comorbid non-tuberculous mycobacterial infections may be considered, and mNGS may complement traditional pathogenetic testing.

Respiratory Syncytial Virus Infection in an Adult with Immunodeficiency.

BACKGROUND: Respiratory syncytial virus (RSV) is a single-stranded RNA virus that commonly causes symptoms of upper respiratory tract infections in humans, with a clear seasonal trend. However, in immunocompromised and elderly patients, RSV infections still result in high rates of hospitalization and even risk of death. METHODS: We report a case of RSV infection in an adult with immunodeficiency, which initially showed only mild symptoms of upper respiratory tract infection, which did not improve after receiving empirical anti-infective treatment, and the foci of infection in the lungs continued to expand, which led to the aggravation of the disease. The diagnosis of RSV infection was finally confirmed by electron bronchoscopy and pathogenetic examination of the bronchoalveolar lavage fluid. The patient was given intravenous ribavirin treatment for one week. After one week of intravenous ribavirin treatment, the patient's symptoms improved significantly. A repeat chest CT suggested that the lung lesions were smaller than before. In order to improve clinicians' awareness of this disease, we jointly conducted a literature analysis. RESULTS: The final diagnosis of RSV was made by analyzing the patient's history, symptoms, and signs and performing relevant examinations. CONCLUSIONS: For patients with poor results of empirical application of antibiotics, electronic bronchoscopy and pathogenetic examination should be carried out at an early stage to clarify the nature of the lesions and to avoid rapid deterioration of the condition leading to life-threatening conditions in the patients. More consideration should be given to the possibility of disease diagnosis to avoid misdiagnosis and underdiagnosis, and appropriate treatment should be given at an early stage.

A Case of Invasive Pulmonary Aspergillosis.

BACKGROUND: Invasive pulmonary aspergillosis (IPA) is a deep fungal infection caused by invasion of Aspergillus mycelium into the lung parenchyma resulting in tissue destruction and necrosis, which occurs more often in im-munosuppressed populations. The severity of the disease and the rapid progression of the lung lesions puts pa¬tients at high risk of death and poor prognosis if the correct therapeutic intervention is not given as early as possible. METHODS: Here we report a case of IPA, which was initially diagnosed as community-acquired pneumonia in a local hospital. The symptoms did not improve after receiving anti-infective treatment. The patient was diagnosed with IPA after completing a chest CT examination and an electronic bronchoscopy, as well as pathogenetic examination of the bronchoalveolar lavage fluid and pathological examination of the left bronchial mass in the respiratory department of our hospital, which was finally diagnosed as IPA. After one week of administration of voriconazole for anti-fungal infection treatment, the patient's symptoms improved significantly, and a repeat chest CT suggested that the lung lesions were better than before. In order to raise clinicians' awareness of this disease, we also conducted a literature analysis. RESULTS: The final diagnosis of IPA was made by analyzing the patient's history, symptoms, signs, and relevant findings. CONCLUSIONS: When the patient's clinical symptoms and imaging manifestations are consistent with IPA, electronic bronchoscopy and pathogenetic and pathological examinations may be appropriately performed to clarify the na-ture of the lesion. More consideration should be given to the possibility of disease diagnosis to avoid misdiagnosis and underdiagnosis. Appropriate treatment should be given at an early stage.

A Case of IgG4 Related Lung Disease.

BACKGROUND: IgG4-related disease (IgG4-RD) is an immune-mediated systemic inflammatory fibrotic disease, which is a relatively rare and novel disease that can involve multiple organs or tissues, with variable clinical manifestations, and for which pulmonary involvement has been reported relatively infrequently. METHODS: Here we report a case of pulmonary infection that was initially suspected and received anti-inflammatory treatment, but the symptoms did not improve. CT examination indicated progression of the pulmonary lesion, and the nature of the lesion could not be determined by tracheoscopy and bronchoalveolar lavage. The diagnosis of IgG4 related lung disease (IgG4-RLD) was confirmed by percutaneous lung biopsy. A joint literature analysis was conducted to improve clinicians' understanding of this disease. RESULTS: The patient's history, symptoms, signs and relevant examination results were analyzed. The final diagnosis was IgG4-RLD. CONCLUSIONS: When the clinical symptoms and imaging manifestations of the patients are consistent with IgG4-RLD, pathological examination can be appropriately performed to clarify the nature of the lesions. More consideration should be given to the possibility of disease diagnosis to avoid misdiagnosis and underdiagnosis, and proper treatment should be given at an early stage.

A Prediction Model for Prolonged Hospital Length of Stay (ProLOS) in Coronavirus Disease 2019 (COVID-19) Patients.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is an acute respiratory infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With the normalization of COVID-19 globally, it is crucial to construct a prediction model that enables clinicians to identify patients at risk for ProLOS based on demographics and serum inflammatory biomarkers. METHODS: The study included hospitalized patients with a confirmed diagnosis of COVID-19. These patients were randomly grouped into a training (80%) and a test (20%) cohort. The LASSO regression and ten-fold cross-validation method were applied to filter variables. The training cohort utilized multifactorial logistic regression analyses to identify the independent factors of ProLOS in COVID-19 patients. A 4-variable nomogram was created for clinical use. ROC curves were plotted, and the area under the curve (AUC) was calculated to evaluate the model's discrimination; calibration analysis was planned to assess the validity of the nomogram, and decision curve analysis (DCA) was used to evaluate the clinical usefulness of the model. RESULTS: The results showed that among 310 patients with COVID-19, 80 had extended hospitalization (80/310). Four independent risk factors for COVID-19 patients were identified: age, coexisting chronic respiratory diseases, white blood cell count (WBC), and serum albumin (ALB). A nomogram based on these variables was created. The AUC in the training cohort was 0.808 (95% CI: 0.75 - 0.8671), and the AUC in the test cohort was 0.815 (95% CI: 0.7031 - 0.9282). The model demonstrates good calibration and can be used with threshold probabilities ranging from 0% to 100% to obtain clinical net benefits. CONCLUSIONS: A predictive model has been created to accurately predict whether the hospitalization duration of COVID-19 patients will be prolonged. This model incorporates serum WBC, ALB levels, age, and the presence of chronic respiratory system diseases.

A Case of Organizing Pneumonia Resembling Lung Cancer.

BACKGROUND: Organizing pneumonia (OP) is a pathologic diagnosis with clinical and imaging manifestations that often resemble other diseases, such as infections and cancers, which can lead to delays in diagnosis and inappropriate management of the underlying disease. In this article, we present a case of organized pneumonia that resembles lung cancer. METHODS: We report a case of initial suspicion of pulmonary malignancy, treated with anti-inflammatory medication and then reviewed with CT suggesting no improvement, and finally confirmed to be OP by pathological biopsy taken via transbronchoscopy. A joint literature analysis was performed to raise clinicians' awareness of the diagnosis and treatment of OP. RESULTS: Initially, because of the atypical auxiliary findings, we thought that the disease turned out to be a lung tumor, which was eventually confirmed as OP by pathological diagnosis. CONCLUSIONS: The diagnosis and treatment of OP requires a combination of clinical information and radiological expertise, as well as biopsy to obtain histopathological evidence. That is, clinical-imaging-pathological tripartite cooperation and comprehensive analysis.

A Case of Invasive Pulmonary Mycosis (Rhizopus microspores) secondary to Hematological Disease.

BACKGROUND: Pulmonary mucormycosis is most common in patients with hematologic malignancies and transplant recipients. This article describes a case of mucormycosis in the lungs secondary to a hematologic disorder with suspected lung cancer. METHODS: Rhizopus (Rhizopus microspores) was detected by blood NGS and bronchoalveolar lavage fluid NGS, and pulmonary mucormycosis was confirmed. RESULTS: Secondary to hematologic disease, pulmonary pneumonia, mycosis, and symptoms improved after comprehensive treatment. CONCLUSIONS: Clinical data and radiologic knowledge are combined to diagnose invasive pulmonary mycoses; early empirical medicine is very important.

CEA Negative Initial Diagnosis of HP Infection Finally Confirmed by Bronchoscopic Biopsy as Lung Adenocarcinoma.

BACKGROUND: Carcinoembryonic antigen (CEA) is a polysaccharide complex that is found in the human respiratory system. It is of significant use in disease surveillance of lung cancer; however, serum CEA can occasionally only offer little assistance. We present a case of recurring infection initially diagnosed as carcinoembryonic antigen-negative in a patient with a history of hypersensitivity pneumonitis infection, which finally led to the diagnosis of lung adenocarcinoma following percutaneous lung puncture. METHODS: Appropriate laboratory tests, chest CT, bronchoscopy, percutaneous lung puncture, and pathologic examination were performed to explore the cause of the disease. RESULTS: Because CEA was negative and a chest CT showed interstitial changes in both lungs with numerous hyperdense shadows, coupled with the patient's history of hypersensitivity pneumonitis, we initially believed that the infection was relapsing. However, a percutaneous lung puncture eventually revealed that the patient had lung adenocarcinoma. CONCLUSIONS: Vigilance needs to be increased in clinical work for patients with interstitial lung disease, low tumor markers such as CEA, and imaging suggestive of inflammatory progression, which in fact turns into lung cancer. When the treatment is ineffective after standardized application of hormone and anti-infection, lung tissue should be obtained for pathological examination in time to obtain pathological evidence.

Accidental Detection of Tuberculous Empyema at Health Check-Up.

BACKGROUND: Patients with tuberculous empyema (TE) can have a serious impact on lung function as their disease progresses, and, if left untreated, can cause damage to other parts of the body such as the thorax and spine, causing pain and inconvenience to the patient. Early diagnosis and the search for appropriate treatment are key to improving the survival rate of the disease. METHODS: We report a case of a young patient with an unexpected finding of right pleural effusion on physical examination, who was eventually diagnosed with TE using next-generation sequencing of pleural tissue. We analyzed the literature to improve clinicians' understanding of TE and how to properly diagnose and treat the disease. RESULTS: Laboratory results of the pleural effusion suggested a possible Mycobacterium tuberculosis infection, but pathogen-related tests were negative, and the diagnosis was eventually successfully confirmed by thoracoscopic pleural biopsy. CONCLUSIONS: The diagnosis of TE should be considered in young patients with pleural thickening of the empyema. Adenosine deaminase may provide diagnostic direction in patients with unexplained thorax abscess. Pleural biopsy, although an invasive procedure, is an essential diagnostic tool in some cases.

A Case of Tuberculosis Misdiagnosed as Sarcoidosis and then Confirmed by NGS Testing.

BACKGROUND: Pulmonary tuberculosis (PTB) is an important infectious disease that threatens the health and life of human beings. In the diagnosis of PTB, imaging plays a dominant role, but due to the increasing drug resistance of Mycobacterium tuberculosis, atypical clinical manifestations, "different images with the same disease" or "different diseases with the same image" in chest imaging, and the low positivity rate of routine sputum bacteriology, which leads to a high rate of misdiagnosis of PTB. We report a case of pulmonary tuberculosis that was misdiagnosed on imaging. We report a case of pulmonary tuberculosis that resembled sarcoidosis on imaging and was negative for antacid staining on sputum smear and alveolar lavage fluid, and was later diagnosed by microbial next-generation sequencing (NGS). The case was initially misdiagnosed as sarcoidosis. METHODS: Alveolar lavage fluid NGS, chest CT, bronchoscopy. RESULTS: Chest CT showed multiple inflammatory lesions in both lungs, multiple nodular foci in both lungs, and multiple enlarged lymph nodes in the mediastinum and hilar region on both sides. Fiberoptic bronchoscopy was performed in the basal segment of the left lower lobe of the lungs to carry out bronchoalveolar lavage, and the lavage fluid was sent to the NGS test and returned the following results: Mycobacterium tuberculosis complex group detected in the number of sequences of 293. Based on the results of the NGS test, the diagnosis of pulmonary tuberculosis could be confirmed. CONCLUSIONS: The diagnosis of pulmonary tuberculosis cannot be easily excluded in patients with "different images with the same disease" or "different diseases with the same image" on chest imaging without the support of sputum positivity. The goal was to improve the alertness of medical personnel to the misdiagnosis of tuberculosis and the application of NGS technology.

Nanobiotechnology augmented cancer stem cell guided management of cancer: liquid-biopsy, imaging, and treatment.

Cancer stem cells (CSCs) represent both a key driving force and therapeutic target of tumoral carcinogenesis, tumor evolution, progression, and recurrence. CSC-guided tumor diagnosis, treatment, and surveillance are strategically significant in improving cancer patients' overall survival. Due to the heterogeneity and plasticity of CSCs, high sensitivity, specificity, and outstanding targeting are demanded for CSC detection and targeting. Nanobiotechnologies, including biosensors, nano-probes, contrast enhancers, and drug delivery systems, share identical features required. Implementing these techniques may facilitate the overall performance of CSC detection and targeting. In this review, we focus on some of the most recent advances in how nanobiotechnologies leverage the characteristics of CSC to optimize cancer diagnosis and treatment in liquid biopsy, clinical imaging, and CSC-guided nano-treatment. Specifically, how nanobiotechnologies leverage the attributes of CSC to maximize the detection of circulating tumor DNA, circulating tumor cells, and exosomes, to improve positron emission computed tomography and magnetic resonance imaging, and to enhance the therapeutic effects of cytotoxic therapy, photodynamic therapy, immunotherapy therapy, and radioimmunotherapy are reviewed.