Machine learning powered detection of biological toxins in association with confined lateral flow immunoassay (c-LFA).

Biological weapons, primarily dispersed as aerosols, can spread not only to the targeted area but also to adjacent regions following the movement of air driven by wind. Thus, there is a growing demand for toxin analysis because biological weapons are among the most influential and destructive. Specifically, such a technique should be hand-held, rapid, and easy to use because current methods require more time and well-trained personnel. Our study demonstrates the use of a novel lateral flow immunoassay, which has a confined structure like a double barbell in the detection area (so called c-LFA) for toxin detection such as staphylococcal enterotoxin B (SEB), ricinus communis (Ricin), and botulinum neurotoxin type A (BoNT-A). Additionally, we have explored the integration of machine learning (ML), specifically, a toxin chip boosting (TOCBoost) hybrid algorithm for improved sensitivity and specificity. Consequently, the ML powered c-LFA concurrently categorized three biological toxin types with an average accuracy as high as 95.5%. To our knowledge, the sensor proposed in this study is the first attempt to utilize ML for the assessment of toxins. The advent of the c-LFA orchestrated a paradigm shift by furnishing a versatile and robust platform for the rapid, on-site detection of various toxins, including SEB, Ricin, and BoNT-A. Our platform enables accessible and on-site toxin monitoring for non-experts and can potentially be applied to biosecurity.

Capillary force-driven reverse-Tesla valve structure for microfluidic bioassays.

Biological assays involve the lysis of biological particles, enzyme reactions, and gene amplification, and require a certain amount of time for completion. Microfluidic chips are regarded as powerful devices for biological assays and in vitro diagnostics; however, they cannot achieve a high mixing efficiency, particularly in some time-consuming biological reactions. Herein, we introduce a microfluidic reverse-Tesla (reTesla) valve structure in which the fluid is affected by vortices and branch flow convergence, resulting in flow retardation and a high degree of mixing. The reTesla is passively operated by a microfluidic capillary force without any pumping facility. Compared with our previously developed micromixers, this innovative pumpless microfluidic chip exhibited high performance, with a mixing efficiency of more than 93%. The versatility of our reTesla chip will play a pivotal role in the study of various biological and chemical reactions.

Complication of Intrapulmonary Cavitary Lesions after COVID-19 Finally Proved as Pulmonary Aspergillosis.

BACKGROUND: Coronavirus Disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus type 2, which is characterized by high infectiousness and diverse clinical manifestations. They are more likely to become critical in people who have underlying diseases or are immunocompromised. In the daunting task of treating patients with COVID-19, those with comorbid fungal infections are susceptible to underdiagnosis or misdiagnosis, which can ultimately lead to increased morbidity and mortality in this group of patients. We report a case of intrapulmonary cavitary lesions after COVID-19, which was eventually diagnosed as pulmonary aspergillosis (PA) by metagenomic Next Generation Sequencing (mNGS) to improve our understanding of the disease. METHODS: Appropriate laboratory tests, chest computed tomography (CT), mNGS, and serologic tests were performed for diagnosis. RESULTS: Laboratory tests showed Glactomannan (GM) of 1.41, multiple cavitary lesions in both lungs on chest CT and the presence of aspergillus infection was confirmed by sputum sent for mNGS. CONCLUSIONS: In the case of cavitary lesions after COVID-19, we should be alert to the possibility of combined fungi and should promptly perform mNGS to clarify whether there is a combination of specific pathogenic fungal infections.

Organizing Pneumonia due to Secondary Invasive Pulmonary Mycosis and Cytomegalovirus Infection in a Patient with Lymphoma.

BACKGROUND: Reactivation of cytomegalovirus is more common in lymphoma patients undergoing hematopoietic stem cell transplantation, but reactivation of cytomegalovirus due to chemotherapy for lymphoma has rarely been reported. We report a case of a lymphoma patient with secondary pulmonary fungal infection and cytomegalovirus infection after chemotherapy, which ultimately led to organizing pneumonia. METHODS: Percutaneous lung biopsy, Next Generation Sequencing (NGS). RESULTS: NGS examination suggestive of cytomegalovirus infection, percutaneous lung biopsy suggests the presence of organizing pneumonia. The patient was discharged after a combination of antifungal and antiviral treatment with posaconazole, ganciclovir, and anti-inflammatory treatment with methylprednisolone. CONCLUSIONS: In patients with lymphoma, one should be alert for fungal and viral infections of the lungs when lung related clinical manifestations occur. Patients with persistent unrelieved symptoms after treatment should undergo lung biopsy or bronchoscopy to obtain pathologic tissue for definitive diagnosis.

Neglected Mycobacterium Avium Complex Infection in a Patient with Prolonged Pneumonia.

BACKGROUND: Non-tuberculous mycobacterial pulmonary infections (NTM-PD) are becoming increasingly common in clinical practice, and early detection and accurate determination of the infecting pathogen is crucial for subsequent treatment. We report a case of NTM-PD in a healthy middle-aged female with Mycobacterium tuberculosis complex group (MAC) infection confirmed by mNGS examination. METHODS: Appropriate laboratory tests, chest CT scan, bronchoscopic alveolar lavage fluid (BALF) examination, and macrogenomic next-generation sequencing (mNGS) were performed to establish the diagnosis. RESULTS: Chest CT showed multiple inflammatory lesions in the right middle lobe, and BALF sent for mNGS finally confirmed the diagnosis of MAC infection. After symptomatic treatment with azithromycin combined with ethambutol and rifampicin, the patient improved and was discharged from the hospital. CONCLUSIONS: In patients with pulmonary infections, pathogens should be clarified early to determine the diagnosis. mNGS of BALF samples have high specificity in detecting pathogens of infectious diseases, especially complex mixed infectious disease pathogens.

Neglected Right Hemidiaphragmatic Angle Soft Tissue Shadow in a Renal Transplant Recipient Diagnosed as Lymphoma.

BACKGROUND: Post-transplant lymphoproliferative disorders are characterized by atypical clinical manifestations, high mortality, and missed diagnosis rates. METHODS: We report a case of renal transplantation in a patient with unexplained soft-tissue nodular shadows, and the type of the post-transplant abnormal soft-tissue shadows was clarified by puncture biopsy. RESULTS: The pathologic returns were consistent with the post-transplant lymphoproliferative disease, and the immunohistochemical returns supported a diffuse large B-cell lymphoma (non-growth center origin). CONCLUSIONS: In organ transplant patients, when unexplained soft tissue nodular shadows are present, the possibility of post-transplant lymphoproliferative disorders should be considered, and an aggressive puncture biopsy should be performed to clarify the diagnosis.

Prediction of mass spectrometry ionization efficiency based on COSMO-RS and machine learning algorithms.

Non-targeted analysis of high-resolution mass spectrometry (MS) can identify thousands of compounds, which also gives a huge challenge to their quantification. The aim of this study is to investigate the impact of mass spectrometry ionization efficiency on various compounds in food at different solvent ratios and to develop a predictive model for mass spectrometry ionization efficiency to enable non-targeted quantitative prediction of unknown compounds. This study covered 70 compounds in 14 different mobile phase ratio environments in positive ion mode to analyze the rules of the matrix effect. With the organic phase ratio from low to high, most compounds changed by 1.0 log units in log IE. The addition of formic acid enhanced the signal but also promoted the matrix effect, which often occurred in compounds with strong ionization capacity. It was speculated that the matrix effect was mainly in the form of competitive charge and charged droplet' gasification sites during MS detection. Subsequently, we present a log IE prediction method built using the COSMO-RS software and the artificial neural network (ANN) algorithm to address this difficulty and overcome the shortcomings of previous models, which always ignore the matrix effect. This model was developed following the principles of QSAR modeling recommended by the Organization for Economic Cooperation and Development (OECD). Furthermore, we validated this approach by predicting the log IE of 70 compounds, including those not involved in the log IE model development. The results presented demonstrate that the method we put forward has an excellent prediction accuracy for log IE (R2pred = 0.880), which means that it has the potential to predict the log IE of new compounds without authentic standards.

Research Progress on the Wear Resistance of Key Components in Agricultural Machinery.

Agricultural mechanization is crucial in enhancing production efficiency, alleviating labor demands, reducing costs, improving agricultural product quality, and promoting sustainable development. However, wear and tear are inevitable when using agricultural machinery. The failure of critical wear-resistant parts is responsible for over 50% of rural machinery breakdowns. For instance, a domestic combine harvester typically only operates trouble-free for 20 to 30 h, and the service life of a rotary plow knife is approximately 80 h. Investigating the wear performance of key farm machinery components reinforces machinery design and maintenance strategies, extends machinery lifespans, enhances agricultural production efficiency, and advances agrarian sustainability. This paper provides a comprehensive overview of the latest research on the wear resistance of crucial agricultural machinery components. It delves into the factors influencing the wear resistance of these components and explores current effective measures to address wear-related issues. Additionally, it also summarizes the challenges and opportunities in researching the wear performance of key components in agricultural machinery and future development directions.

Analysis of drug factors in 5-aminolevulinic acid photodynamic therapy for oral potentially malignant disorder.

OBJECTIVES: This study aimed to analyze the influence of drug factors on the efficacy of 5-aminolevulinic acid (ALA) photodynamic therapy for oral potentially malignant disorder to improve clinical efficacy and promote clinical rational drug use. METHODS: Literature on the treatment of oral potentially malignant disorder by using ALA photodynamic therapy was collected and analyzed from PubMed, ISI Web of Knowledge database, CNKI, VIP, and Wanfang database. RESULTS: A total of 690 cases were collected, with an average complete response rate of 65.94%. The groups treated with 16.8% methyl aminolevulinate cream, local topical, once a week, and pre-activation time of 2-4 hours were better than the other subgroups, with average complete response rates of 100%, 66.91%, 78.28%, and 77.54%, respectively. CONCLUSIONS: Drug factors have direct influence on the curative effect. The development of novel oral ALA formulations from the perspective of drug improvement is an important strategy to improve efficacy.

[One new phenylethanoid glycoside from Forsythiae Fructus].

One new phenylethanoid glycoside was isolated from the ethyl acetate fraction of the 75% EtOH extract of Forsythiae Fructus by various column chromatographies(HP20, silica gel, ODS) and preparative HPLC.Its structure was identified as forsythiayanoside E(1) by physicochemical properties and extensive spectroscopic analysis(HR-ESI-MS, 1 D and 2 D NMR).Compound 1 was evaluated for cytotoxic activities by MTT assay and showed weak cytotoxic activity against MCF-7 and A-375 cell lines with inhibition rates of 39.85% and 43.38% at 40 µmol·L~(-1), and no cytotoxic activity against PC-3 and HepG2 cell lines at 100 µmol·L~(-1).

Identification of Moldy Peanuts under Different Varieties and Moisture Content Using Hyperspectral Imaging and Data Augmentation Technologies.

Aflatoxins in moldy peanuts are seriously toxic to humans. These kernels need to be screened in the production process. Hyperspectral imaging techniques can be used to identify moldy peanuts. However, the changes in spectral information and texture information caused by the difference in moisture content in peanuts will affect the identification accuracy. To reduce and eliminate the influence of this factor, a data augmentation method based on interpolation was proposed to improve the generalization ability and robustness of the model. Firstly, the near-infrared hyperspectral images of 5 varieties, 4 classes, and 3 moisture content gradients with 39,119 kernels were collected. Then, the data augmentation method called the difference of spectral mean (DSM) was constructed. K-nearest neighbors (KNN), support vector machines (SVM), and MobileViT-xs models were used to verify the effectiveness of the data augmentation method on data with two gradients and three gradients. The experimental results show that the data augmentation can effectively reduce the influence of the difference in moisture content on the model identification accuracy. The DSM method has the highest accuracy improvement in 5 varieties of peanut datasets. In particular, the accuracy of KNN, SVM, and MobileViT-xs using the data of two gradients was improved by 3.55%, 4.42%, and 5.9%, respectively. Furthermore, this study provides a new method for improving the identification accuracy of moldy peanuts and also provides a reference basis for the screening of related foods such as corn, orange, and mango.

[Chemical constituents of phenylethanoid glycosides from Forsythiae Fructus and their antitumor activities].

Four phenylethanoid glycosides were isolated from the 75% EtOH extract of Forsythiae Fructus by various column chromatography methods(MCI, silica gel, ODS and semi-preparative HPLC). Their structures were identified as forsythenside M(1), forsythenside K(2), forsythoside I(3) and forsythoside A(4) by physicochemical properties and extensive spectroscopic analysis(UV, 1 D and 2 D NMR, HR-ESI-MS). Among them, compound 1 was one new phenylethanoid glycoside. The in vitro cytotoxic activities of these compounds against MCF-7, A-375, SGC-7901 and B16 F10 were evaluated. The results showed that compounds 1-4 had cytotoxic activities against MCF-7, A-375, SGC-7901 and B16 F10 at 40 µmol·L~(-1).

Two new flavonol glycosides from Selaginella tamariscina.

Two new flavonol glycosides 3,5,7-trimethoxyflavone-4'-O-[5'''-O-p-coumaroyl-ß-D-apiofuranoyl-(1'''→2'')-ß-D-glucopyranoside] (1) and 3,5,7-trimethoxyflavone -4'-O-ß-D-glucopyranoside (2) were isolated from Selaginella tamariscina. The structures of 1 and 2 were elucidated on the basis of chemical and spectral analysis, including 1D, 2D NMR analyses and HRESIMS spectrometry. Two compounds were evaluated for cytotoxic activities against A-375, MCF-7, MDA-MB-231 and MDA-MB-468 cell lines by MTT assay. Unfortunately, two compounds displayed no cytotoxic activities.

The effect of joint distraction osteogenesis combined with platelet-rich plasma injections on traumatic ankle arthritis.

OBJECTIVE: To study effect of joint distraction osteogenesis combined with platelet-rich plasma injections on traumatic ankle arthritis (TAA). METHODS: 106 patients with TAA admitted to our hospital (from January 2018 to January 2020) were recruited as the study cohort and randomly divided into a surgical group and a combined group. The surgical group was treated with simple joint retraction surgery, and the combined group was treated with platelet-rich plasma injections in addition to the surgery administered to the operation group. After 6 months of treatment, the clinical efficacy of the two groups was evaluated, and the changes in the ankle joint function, the serum related factors, and the quality of life before and at six months after the treatment were observed. The incidences of adverse reactions (ARS) in the two groups were counted to evaluate the treatment safety. RESULTS: The total effective rate was 98.11% in the combined group and 77.36% in the operation group. The overall curative effect of the combined group was better than it was in the operation group (P<0.05). After the treatment, the ankle joint movement angles, the joint function, the serum factor levels, and the quality of life of the patients in combined group were better than they were in the operation group (P<0.05). No significant difference was found in the incidence of ARs (P>0.05). CONCLUSION: Arthroplasty with platelet-rich plasma injections can improve joint function recovery, inhibit the inflammatory factor expression levels, and enhance TAA patients' quality of life.

Impact of the numbers of injections of platelet rich plasma on the clinical outcomes in patients with knee osteoarthritis: A protocol for an updated network meta-analysis.

BACKGROUND: Two published meta-analyses have investigated the effects of the number of injections of platelet rich plasma (PRP) on clinical outcomes in knee osteoarthritis patients, however conflicting findings were generated. METHODS: We will systematically search PubMed, Embase, and China National Knowledgement Infrastructure (CNKI) to capture additional eligible studies. After screening citations, extracting essential data, assessing the risk of bias, we will use RevMan software and Open BUGS to perform head-to-head and network meta-analysis of pain alleviation and improvement of joint functionality, respectively. DISCUSSION: Knee joint osteoarthritis (KOA) is the main cause of joint degeneration in elderly, which seriously reduces patients quality of life. Although intra-articular PRP has been extensively prescribed to treat KOA, a definitive conclusion about the appropriate number of injections has not yet been generated in published meta-analyses. The present updated network meta-analysis will comprehensively answer this question. ETHICS AND DISSEMINATION: We will communicate our findings through participating in academic conferences or submiting it to be considered for publication in peer reviewed scholar journal. INPLASY REGISTRATION NUMBER: We registered this protocol in International Plateform of Registered Systematic Review and Meta-Analysis Protocols (INPLASY) platform and obtained an identifier of INPLASY2020110043 (https://inplasy.com/inplasy-2020-11-0043/).

Two new selariscinins from Selaginella tamariscina (Beauv.) Spring.

Two new selariscinins named selariscinin F (1) and selariscinin G (2), along with one known selariscinin D (3) were isolated from Selaginella tamariscina. The structures of 1-3 were elucidated on the basis of chemical and spectral analysis, including 1D, 2D NMR analyses and HRESIMS.

High-quality genome assembly and transcriptome of Ancherythroculter nigrocauda, an endemic Chinese cyprinid species.

Ancherythroculter nigrocauda is a cyprinid fish endemic of the upper reaches of the Yangtze River in China, where it is an important aquaculture and commercial species. It is also a threatened species as a result of overfishing, dam construction and water pollution. In this study, a chromosome-level genome assembly of A. nigrocauda is reported and built using PacBio sequencing and the Hi-C technology. The 1.04-Gb sequenced genome of A. nigrocauda contained 2,403 contigs, with an N50 length of 3.12 Mb. Then, 1,297 contigs, which represented 54.0% of all contigs and 97.2% of the whole content of the genome nucleotide base, were assembled into 24 chromosomes. Combined with transcriptome data from 10 tissues, 27,042 (78.5%) genes were functionally annotated out of 34,414 predicted protein-coding genes. Interestingly, high expression of many positively selected genes and expanded gene families in the brain suggested that these genes might play important roles in brain development in A. nigrocauda. Finally, we found tissue-specific expression of 10,732 genes. Functional analyses showed that they were mainly composed of genes related to (a) environmental information processing, (b) the circulatory system, and (c) development, suggesting they might be important for adaptation to different environments and for development of A. nigrocauda. The high-quality genome obtained in this study not only provides a valuable genomic resource for future studies of A. nigrocauda populations and conservation, but is also an important resource for further functional genomics studies of fishes.