Publications by authors named "Hongxin Lin"

12 Publications

  • Page 1 of 1

Different Fertilizers Applied Alter Fungal Community Structure in Rhizospheric Soil of Cassava ( Crantz) and Increase Crop Yield.

Front Microbiol 2021 10;12:663781. Epub 2021 Nov 10.

Key Laboratory of Ministry of Agriculture for Germplasm Resources Conservation and Utilization of Cassava, Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China.

Soil microbes play an important role in the ecosystem and have a relationship with plant growth, development, and production. There are only a few reports on the effects of planting patterns of cassava on the microbial community structure in the rhizospheric soil. Here, we investigated the effects of different fertilization on the microbial community structure in the cassava rhizospheric soil. SC205 cultivar was used in this study as the experimental material. Compound fertilizer (CF) and reduced fertilizer (RF) were applied to the soil prior to planting. Soil samples were collected before harvest, and fungi were analyzed using IonS5XL sequencing platform. Results showed that CF and RF treatments significantly increased cassava yield. Amplicon sequencing result indicated that the fungi richness in rhizospheric soil of cassava was increased after CF was applied, and the diversity was decreased. However, the fungal diversity and richness were decreased in rhizospheric soil after RF was applied. The most dominant fungal phylum was Ascomycota, which increased after fertilization. In addition, the abundance of beneficial fungi such as increased after fertilization, while that of pathogenic fungi such as was decreased. The composition of the fungal community in rhizospheric soil with CF and RF applied was similar, but the richness and diversity of fungi were different. Canonical correspondence analysis (CCA) indicates there was a positive correlation between soil nutrition and fungal community structure. Overall, our results indicate that fertilization alters the fungal community structure of cassava rhizospheric soil, such that the abundance of potentially beneficial fungi increased, while that of potentially pathogenic fungi decreased, thereby significantly promoting plant growth and yield of cassava. Thus, during actual production, attention should be paid to maintain the stability of cassava rhizospheric soil micro-ecology.
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http://dx.doi.org/10.3389/fmicb.2021.663781DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631426PMC
November 2021

Three-dimensional characterizations of two-photon excitation fluorescence images of elastic fibers affected by cutaneous scar duration.

Quant Imaging Med Surg 2021 Aug;11(8):3584-3594

Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China.

Background: The type or duration of a scar determines the choice of therapy available. Traditional detection methods can easily cause secondary trauma, so there is an urgent need for a non-invasive, rapid diagnostic approach.

Methods: A strategy for quantitative analysis of three-dimensional (3D) elastic fibers in human cutaneous scars was designed, which included 3D reconstruction, skeleton extraction, quantitative analysis, and random forest regression.

Results: Four reconstruction methods were used to reconstruct 3D two-photon excitation fluorescence images of elastic fibers for comparison. In the skeleton extraction stage, the 3D thinning algorithm was improved to prepare for accurate quantitative analysis, in which eight parameters comprising branches number (B-NUM), nodes number (N-NUM), averaged branch broken-line length (AB-BL), averaged linear branch length (AB-LL), averaged branch tortuosity (AB-T), branch direction consistency (B-DC), averaged branch volume (AB-V), and averaged branch sectional area (AB-SA) were presented. Six of them, except averaged branch tortuosity (AB-T) and branch direction consistency (B-DC), showed an explicit tendency to change with scar duration. In the random forests regression analysis, the six extracted parameters could be used to predict scar duration with R=0.981 and RMSE=0.513.

Conclusions: The parameters we extracted had a distinct relationship with scar duration, and random forests regression showed better performance in forecasting scar duration than unitary models.
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http://dx.doi.org/10.21037/qims-20-1051DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245955PMC
August 2021

Activatable Ratiometric NIR-II Fluorescence Nanoprobe for Quantitative Detection of HS in Colon Cancer.

Anal Chem 2021 07 30;93(27):9356-9363. Epub 2021 Jun 30.

MOE key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou 350108, China.

As key characteristic molecules, several HS-activated probes have been explored for colon cancer studies. However, a few ratiometric fluorescence (FL) probes with NIR-II emissions have been reported for the quantitative detection of HS in colon cancer . Here, we developed an HS-activatable ratiometric nanoprobe with two NIR-II emission signals for the detection of HS and intelligently lighting up colon cancer. The nanoprobe comprised a down conversion nanoparticle (DCNP), which emitted NIR-II FL at 1550 nm on irradiation with a 980 nm laser (F). Further, human serum albumin (HSA) was combined with Ag on the surface of DCNP to form a [email protected] nanoprobe. In the presence of HS, AgS quantum dots (QDs) were formed in coated HSA, which emitted FL at approximately 1050 nm on irradiation with an 808 nm laser (F) through an HS-induced chemical reaction between HS and Ag; however, the FL signal of DCNP was stable at 1550 nm (F), generating a HS concentration-dependent ratiometric F/F signal. The NIR-II ratiometric nanoprobe was successfully used for the accurate quantitative detection of HS and the detection of the precise location of colon cancer through an endogenous HS-induced reduction reaction to form AgS QDs. Thus, these findings provide a new strategy for the specific detection of targeted molecules and diagnosis of disease based on the -activatable NIR-II ratiometric FL nanoprobe.
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http://dx.doi.org/10.1021/acs.analchem.1c00427DOI Listing
July 2021

Rapid prediction of drug inhibition under heat stress: single-photon imaging combined with a convolutional neural network.

Nanoscale 2020 Nov;12(45):23134-23139

Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education & Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China.

A method of predicting cellular drug inhibition due to heat stress is presented. Black phosphorus nanosheets are used as photothermal agents to induce stress granule formation in tumor cells. The addition of different drugs induces different thermal stress responses. The features of single-photon images are automatically extracted and analyzed by a convolutional neural network algorithm for classification and recognition, with a maximum accuracy rate of 94.52%. Unlike traditional visual discrimination, this method realizes intelligent recognition without human intervention, providing a new model for computer-aided diagnosis with greater objectivity.
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http://dx.doi.org/10.1039/d0nr04661bDOI Listing
November 2020

Rapid identification of human ovarian cancer in second harmonic generation images using radiomics feature analyses and tree-based pipeline optimization tool.

J Biophotonics 2020 09 25;13(9):e202000050. Epub 2020 Jun 25.

School of Science, Jimei University, Xiamen, Fujian, China.

Ovarian cancer is currently one of the most common cancers of the female reproductive organs, and its mortality rate is the highest among all types of gynecologic cancers. Rapid and accurate classification of ovarian cancer plays an important role in the determination of treatment plans and prognoses. Nevertheless, the most commonly used classification method is based on histopathological specimen examination, which is time-consuming and labor-intensive. Thus, in this study, we utilize radiomics feature extraction methods and the automated machine learning tree-based pipeline optimization tool (TOPT) for analysis of 3D, second harmonic generation images of benign, malignant and normal human ovarian tissues, to develop a high-efficiency computer-aided diagnostic model. Area under the receiver operating characteristic curve values of 0.98, 0.96 and 0.94 were obtained, respectively, for the classification of the three tissue types. Furthermore, this approach can be readily applied to other related tissues and diseases, and has great potential for improving the efficiency of medical diagnostic processes.
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http://dx.doi.org/10.1002/jbio.202000050DOI Listing
September 2020

Recent advances in multiphoton microscopy combined with nanomaterials in the field of disease evolution and clinical applications to liver cancer.

Nanoscale 2019 Nov 10;11(42):19619-19635. Epub 2019 Oct 10.

Shenzhen Engineering Laboratory of Phosphorene and Optoelectronics and Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen University, Shenzhen, 518060, China.

Multiphoton microscopy (MPM) is expected to become a powerful clinical tool, with its unique advantages of being label-free, high resolution, deep imaging depth, low light photobleaching and low phototoxicity. Nanomaterials, with excellent physical and chemical properties, are biocompatible and easy to prepare and functionalize. The addition of nanomaterials exactly compensates for some defects of MPM, such as the weak endogenous signal strength, limited imaging materials, insufficient imaging depth and lack of therapeutic effects. Therefore, combining MPM with nanomaterials is a promising biomedical imaging method. Here, we mainly review the principle of MPM and its application in liver cancer, especially in disease evolution and clinical applications, including monitoring tumor progression, diagnosing tumor occurrence, detecting tumor metastasis, and evaluating cancer therapy response. Then, we introduce the latest advances in the combination of MPM with nanomaterials, including the MPM imaging of gold nanoparticles (AuNPs) and carbon dots (CDs). Finally, we also propose the main challenges and future research directions of MPM technology in HCC.
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http://dx.doi.org/10.1039/c9nr04902aDOI Listing
November 2019

Margin diagnosis for endoscopic submucosal dissection of early gastric cancer using multiphoton microscopy.

Surg Endosc 2020 01 10;34(1):408-416. Epub 2019 Apr 10.

Department of Endoscopy, Fujian Provincal Hospital, Fujian Medical University & College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China.

Background And Aims: Endoscopic submucosal dissection (ESD) has become the primary option for the treatment of early gastric cancer (EGC). Thus, it is necessary to diagnose whether residual cancer cells exist in the ESD specimen margins, which can affect tumor recurrence and survival rates in the future. Multiphoton microscopy (MPM) can be suitably used for nondestructive imaging of biological tissue on a cellular level to enable real-time guidance during endoscopic therapy. Considering this, the objective of this study is to explore the practicality of MPM for the diagnosis of ESD specimen margins in the case of EGC.

Methods: First, a total of 20 surgical samples was imaged using the proposed MPM technique to obtain two-photo excited fluorescence signal from the intrinsic fluorescent substances within cells and second-harmonic generation signal from collagen; these signals were used to determine MPM pathological features for margin diagnosis. Then, a double-blind study of 50 samples was conducted to evaluate the diagnosis results based on the obtained MPM pathological features.

Results: Multiphoton microscopy can accurately identify the cytological and morphological differences between tissue in the negative and positive margin. The sensitivity, specificity, accuracy, negative predictive, and positive predictive values of MPM in the diagnosis of ESD specimen margins were 97.62, 75.00, 94.00, 95.35, and 85.71%, respectively.

Conclusion: These results indicate that MPM can be used as an effective, real-time, and label-free novel method to determine intraoperative resection margins.
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http://dx.doi.org/10.1007/s00464-019-06783-1DOI Listing
January 2020

Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning.

J Biophotonics 2019 07 1;12(7):e201800435. Epub 2019 Apr 1.

Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education and Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, P.R. China.

In the case of hepatocellular carcinoma (HCC) samples, classification of differentiation is crucial for determining prognosis and treatment strategy decisions. However, a label-free and automated classification system for HCC grading has not been yet developed. Hence, in this study, we demonstrate the fusion of multiphoton microscopy and a deep-learning algorithm for classifying HCC differentiation to produce an innovative computer-aided diagnostic method. Convolutional neural networks based on the VGG-16 framework were trained using 217 combined two-photon excitation fluorescence and second-harmonic generation images; the resulting classification accuracy of the HCC differentiation grade was over 90%. Our results suggest that a combination of multiphoton microscopy and deep learning can realize label-free, automated methods for various tissues, diseases and other related classification problems.
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http://dx.doi.org/10.1002/jbio.201800435DOI Listing
July 2019

Bone marrow mesenchymal stem cell transplantation exerts neuroprotective effects following cerebral ischemia/reperfusion injury by inhibiting autophagy via the PI3K/Akt pathway.

Brain Res 2019 03 16;1707:124-132. Epub 2018 Nov 16.

Rehabilitation Medicine Department, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, Guangdong, China.

Although cerebral ischemia itself is associated with a high rate of disability, secondary cerebral ischemia/reperfusion (I/R) injury following recanalization is associated with much more severe outcomes. The mechanisms underlying cerebral I/R injury are complex, involving neuronal death caused by apoptosis and autophagy. Autophagy is critical for cell survival and plays an important role in the pathogenesis of cerebral I/R injury. Research has indicated that transplantation of bone marrow mesenchymal stem cells (BMSCs) is effective in repairing and reconstructing brain tissue, and that this effect may be associated with the regulation of autophagy. To explore this hypothesis, we intravenously transplanted BMSCs into a rat model of cerebral I/R injury (middle cerebral artery occlusion [MCAO]). Our results indicated that BMSCs transplantation promoted behavioral recovery, reduced cerebral infarction volume, and decreased the number of apoptotic cells in rats exposed to cerebral I/R injury. Moreover, this effect was associated with reduced expression of the autophagy-associated proteins microtubule-associated protein 1 light chain 3 (LC3) and Beclin-1. Furthermore, BMSCs remarkably increased the expression of p-Akt and p-mTOR following cerebral I/R injury. Expression of LC3 also increased when the PI3K pathway was blocked using LY294002. In summary, our results indicated that the protective effects of BMSCs in cerebral I/R injury may be associated with the inhibition of autophagy via the activation of the PI3K/Akt/mTOR signaling pathway.
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http://dx.doi.org/10.1016/j.brainres.2018.11.018DOI Listing
March 2019

Label-free classification of hepatocellular-carcinoma grading using second harmonic generation microscopy.

Biomed Opt Express 2018 Aug 24;9(8):3783-3793. Epub 2018 Jul 24.

Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education & Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China.

The clear and accurate understanding of the degree of hepatocellular-carcinoma (HCC) differentiation plays a key role in the determination of the patient prognosis and development of a treatment plan by the clinician. However, label-free and automated classification of the HCC grading is challenging. Here, we demonstrate second-harmonic generation (SHG) microscopy for label-free classification of HCC grading in paraffin-embedded specimens. A total of 217 images from 113 patients were obtained using SHG microscopy, and the SHG signals from the collagen within the tumor were analyzed using feature extraction and selection, the Mann-Whitney test, and the receiver operating characteristic curves. The results exhibit good correlation between the software analysis and the diagnosis by experienced pathologists. Combining the image features and clinical information, an adaptive quantification algorithm is generated for automatically determining the HCC grade. The results suggest that SHG microscopy might be a promising automated diagnostic method for clinical use, without requiring time for tissue processing and staining.
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http://dx.doi.org/10.1364/BOE.9.003783DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191614PMC
August 2018

Evaluation of the tissue distribution, excretion, and cytochrome P450 induction studies of a potential antitumor agent, TM-2, in animals using LC-MS/MS.

Xenobiotica 2017 Sep 30;47(9):800-806. Epub 2016 Sep 30.

b School of Pharmacy, Shenyang Pharmaceutical University , Shenyang , Liaoning Province , China , and.

1. TM-2 is a promising novel semi-synthetic taxane derivative with greater antitumor activity especially against resistant tumors and lower toxicity compared with docetaxel. Information on distribution and excretion of the pharmaceutical in animals, as well as biochemical information relevant to potential drug interactions should normally be evaluated prior to human clinical trials. 2. The present study investigated the tissue distribution and excretion of TM-2 in animals following intravenous administration for further advancement of the molecule. The potential inductive effect of TM-2 on cytochrome P450 iso-enzymes CYP 3A1 in rats was also evaluated. 3. The tissue distribution study in mice showed that TM-2 was rapidly dispersed in the various tissues and peak concentration levels were achieved within 0.083-1 h. The highest concentration was detected in pancreas, followed by lung, kidney, spleen, heart and liver. TM-2 was mainly excreted in the feces via the bile (0.14% of the dose) and urinary excretion was minimal (0.007%). TM-2 increased CYP3A1 enzyme activities with time and dose dependence in rat liver microsome. 4. This important data serve as a useful resource to support further research of TM-2 and allow intelligent assessment of toxicology and in vivo activity testing performed in animals.
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http://dx.doi.org/10.1080/00498254.2016.1232446DOI Listing
September 2017

Rapid and nondestructive method for evaluation of embryo culture media using drop coating deposition Raman spectroscopy.

J Biomed Opt 2013 Dec;18(12):127003

Fujian Normal University, Key Laboratory of Opto-Electronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fuzhou 350007, ChinacImaging Unit-Integrative Oncology Department, British Columbia Cancer Agency Research Centre, Vancouver, British Columbia V5Z 1L3, Canada.

In this study, a rapid and simple method which combines drop coating deposition and Raman spectroscopy (DCDR) was developed to characterize the dry embryo culture media (ECM) droplet. We demonstrated that Raman spectra obtained from the droplet edge presented useful and characteristic signatures for protein and amino acids assessment. Using a different analytical method, scanning electron microscopy coupled with energy dispersive X-ray analysis, we further confirmed that Na, K, and Cl were mainly detected in the central area of the dry ECM droplet while sulphur, an indicative of the presence of macromolecules such as proteins, was mainly found at the periphery of the droplet. In addition, to reduce sample preparation time, different temperatures for drying the droplets were tested. The results showed that drying temperature at 50°C can effectively reduce the sample preparation time to 6 min (as compared to 50 min for drying at room temperature, ∼25°C) without inducing thermal damage to the proteins. This work demonstrated that DCDR has potential for rapid and reliable metabolomic profiling of ECM in clinical applications.
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http://dx.doi.org/10.1117/1.JBO.18.12.127003DOI Listing
December 2013
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