Publications by authors named "Weilu Tian"

The integration of different therapies to enhance the efficacy and minimize adverse reactions has become popular recently. This approach leverages the complementary mechanisms of action of different treatments, which can lead to better therapeutic outcomes and reduced side effects. Human serum albumin (HSA) exhibits excellent drug loading ability and is often used for biomimetic tumor delivery in multidrug nanocarriers.

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Esophageal cancer (EC), the fifth most common cause of cancer-related mortality in China, poses a significant threat to public health. Among the pathological types, esophageal squamous cell carcinoma (ESCC) is predominant, comprising approximately 90 % of cases. Screening is crucial for early detection, diagnosis and treatment, thereby reducing ESCC mortality.

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Article Synopsis
  • Polygonatum kingianum, a plant in the Asparagaceae family, is significant in Chinese herbal medicine and is commonly cultivated in Southwestern China.
  • In September 2023, a severe leaf spot disease was observed in Kunming, affecting 100% of P. kingianum plants, with symptoms evolving from small brown spots to larger lesions that ultimately led to leaf death.
  • A fungus was isolated from affected samples, with its characteristics and genetic information being collected, indicating it may be responsible for the leaf spot disease affecting this important medicinal plant.
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Accurate prediction of the concentration of a large number of hyaluronic acid (HA) samples under temperature perturbations can facilitate the rapid determination of HA's appropriate applications. Near-infrared (NIR) spectroscopy analysis combined with deep learning presents an effective solution to this challenge, with current research in this area being scarce. Initially, we introduced a novel feature fusion method based on an intersection strategy and used two-dimensional correlation spectroscopy (2DCOS) and Aquaphotomics to interpret the interaction information in HA solutions reflected by the fused features.

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Article Synopsis
  • Monitoring particle size distribution (PSD) is essential for maintaining product quality in fluidized bed granulation, and this paper introduces a new analytical method using a Convolutional Block Attention Module-Convolutional Neural Network (CBAM-CNN) for improved accuracy.
  • The CBAM-CNN framework enhances feature extraction by combining attention mechanisms with deep learning, while also leveraging the C-Mixup algorithm to expand the training dataset and the Bayesian optimization for better hyperparameter tuning.
  • When tested against traditional methods like Partial Least Squares (PLS) and Support Vector Machines (SVM), the CBAM-CNN model outperformed them in predicting PSD values without needing extensive spectral preprocessing.
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Sepiella maindroni ink polysaccharide (SIP) from the ink of cuttlefish Sepiella maindroni and its sulfated derivative (SIP-SII) have been demonstrated to possess diverse biological activities. But little is known about low molecular weight squid ink polysaccharides (LMWSIPs). In this study, LMWSIPs were prepared by acidolysis, and the fragments with molecular weight (M) distribution in the ranges of 7 kDa to 9 kDa, 5 kDa to 7 kDa and 3 kDa to 5 kDa were grouped and named as LMWSIP-1, LMWSIP-2 and LMWSIP-3, respectively.

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Confusing low-molecular-weight hyaluronic acid (LMWHA) from acid degradation and enzymatic hydrolysis (named LMWHA-A and LMWHA-E, respectively) will lead to health hazards and commercial risks. The purpose of this work is to analyze the structural differences between LMWHA-A and LMWHA-E, and then achieve a fast and accurate classification based on near-infrared (NIR) spectroscopy and machine learning. First, we combined nuclear magnetic resonance (NMR), Fourier transform infrared (FTIR) spectroscopy, two-dimensional correlated NIR spectroscopy (2DCOS), and aquaphotomics to analyze the structural differences between LMWHA-A and LMWHA-E.

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Raw material identification (RMID) is necessary and important to fulfill the quality and safety requirements in the pharmaceutical industry. Near-infrared (NIR) spectroscopy is a rapid, nondestructive, and commonly used analytical technique that could offer great advantages for RMID. In this study, two brand new similarity methods S1 and S2, which could reflect the similarity from the perspective of the inner product of the two vectors and the closeness with the cosine of the vectorial angle or correlation coefficient, were proposed.

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Leishmania is an obligate intracellular pathogen that invades phagocytic host cells. Due to its high morbidity and mortality rates, leishmaniasis attracts significant attention. The disease, which is caused by Leishmania parasites, is distributed worldwide, particularly among developing communities, and causes fatal complications if not treated expediently.

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In order to understand the hydration effect of hyaluronic acid (HA) in aqueous solution, near-infrared (NIR) spectroscopy was used to investigate the HA aqueous solutions at different concentrations and temperature. As HA concentration was raised, there was a nonlinear change in absorption value in the first overtone region of OH, indicating the changes of hydration water. A reconstructed spectrum based on principal component analysis (PCA) was established and analyzed with the concept of aquaphotomics.

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SIP-SII, the sulfated Sepiella maindroni ink polysaccharide (SIP), has been manifested to possess anti-tumor and anti-metastasis activity in vivo and in vitro. In the present study, we evaluated its inhibitory effect on the epidermal growth factor (EGF)-induced migration and invasion of human epidermoid carcinoma cell (KB cell line) as well as the related signaling pathways. The results of MTT assay indicated that SIP-SII inhibited the proliferation of KB cells in a concentration and time dependent manner.

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