Prediction of tumor size in patients with invasive ductal carcinoma using FT-IR spectroscopy combined with chemometrics: a preliminary study.

Precise detection of tumor size is essential for early diagnosis, treatment, and evaluation of the prognosis of breast cancer. However, there are some errors between the tumor size of breast cancer measured by conventional imaging methods and the pathological tumor size. Invasive ductal carcinoma (IDC) is a common pathological type of breast cancer. In this study, serum Fourier transform infrared spectroscopy (FT-IR) combined with chemometric methods was used to predict the maximum diameter and maximum vertical diameter of tumors in IDC patients. Three models were evaluated based on the pathological tumor size measured after surgery and included grid search support vector machine regression (GS-SVR), back propagation neural network optimized by genetic algorithm (GA-BP-ANN), and back propagation neural network optimized by particle swarm optimization (PSO-BP-ANN). The results show that three models can accurately predict tumor size. The GA-BP-ANN model provided the best fitting quality of the largest tumor diameter with the determination coefficients of 0.984 in test set. And the GS-SVR model provided the best fitting quality of the largest vertical tumor diameter with the determination coefficients of 0.982 in test set. The GS-SVR model had the highest prediction efficiency and the lowest time complexity of the models. The results indicate that serum FT-IR spectroscopy combined with chemometric methods can predict tumor size in IDC patients. In addition, compared with traditional imaging methods, we found that the experimental results of the three models are better than traditional imaging methods in terms of correlation and fitting degree. And the average fitting error of PSO-BP-ANN and GA-BP-ANN models was less than 0.3 mm. The minimally invasive detection method is expected to be developed into a new clinical diagnostic method for tumor size estimation to reduce the diagnostic trauma of patients and provide new diagnostic experience for patients. Graphical Abstract.

[Correlations between content of linarin in Chrysanthemum indicum and climatic factors in habitats].

Chrysanthemi Indici Flos(CIF), the capitulum of Chrysanthemum indicum, is widely used in proprietary Chinese medicine and daily chemical products. At present, CIF is mainly produced from wild resources and rarely cultivated. This study aims to reveal the correlations between linarin content in CIF and climatic factors in different habitats, and provide a theoretical basis for suitable zoning and rational production of medicinal materials. The content of linarin in CIF was determined by HPLC. Grey relational analysis and Pearson correlation analysis were carried out for linarin content with climatic factors. The results showed that the content of linarin in CIF was significantly different among different habitats. The grey relational degrees of climatic factors with linarin content was in an order of average annual precipitation>annual average sunshine hours>annual average temperature>longitude>annual frost-free period>latitude>altitude. Longitude, annual average temperature and average annual precipitation had significantly positive correlations with the content of linarin in CIF, whereas latitude and altitude showed negative correlations with it. The annual frost-free period and annual average sunshine hours had no significant correlation with the content of linarin in CIF. The content of linarin in CIF varied significantly in different habitats. High longitude, low latitude, low altitude, high annual average temperature and high annual average precipitation could be used as indicators for the habitats of high-quality Ch. indicum. This study provides a reference for selecting suitable producing areas of Ch. indicum and establishing artificial cultivation system.

DNA methylation mediates overgrazing-induced clonal transgenerational plasticity.

Overgrazing generally induces dwarfism in grassland plants, and these phenotypic traits could be transmitted to clonal offspring even when overgrazing is excluded. However, the dwarfism-transmitted mechanism remains largely unknown, despite generally thought to be enabled by epigenetic modification. To clarify the potential role of DNA methylation on clonal transgenerational effects, we conducted a greenhouse experiment with Leymus chinensis clonal offspring from different cattle/sheep overgrazing histories via the demethylating agent 5-azacytidine. The results showed that clonal offspring from overgrazed (by cattle or sheep) parents were dwarfed and the auxin content of leaves significantly decreased compared to offspring from no-grazed parents'. The 5-azaC application generally increased the auxin content and promoted the growth of overgrazed offspring while inhibited no-grazed offspring growth. Meanwhile, there were similar trends in the expression level of genes related to auxin-responsive target genes (ARF7, ARF19), and signal transduction gene (AZF2). These results suggest that DNA methylation leads to overgrazing-induced plant transgenerational dwarfism via inhibiting auxin signal pathway.

Nanoparticles-based phototherapy systems for cancer treatment: Current status and clinical potential.

Remarkable progress in phototherapy has been made in recent decades, due to its non-invasiveness and instant therapeutic efficacy. In addition, with the rapid development of nanoscience and nanotechnology, phototherapy systems based on nanoparticles or nanocomposites also evolved as an emerging hotspot in nanomedicine research, especially in cancer. In this review, first we briefly introduce the history of phototherapy, and the mechanisms of phototherapy in cancer treatment. Then, we summarize the representative development over the past three to five years in nanoparticle-based phototherapy and highlight the design of the innovative nanoparticles thereof. Finally, we discuss the feasibility and the potential of the nanoparticle-based phototherapy systems in clinical anticancer therapeutic applications, aiming to predict future research directions in this field. Our review is a tutorial work, aiming at providing useful insights to researchers in the field of nanotechnology, nanoscience and cancer.

Analysis of Chloroplast Genomes Provides Insights Into the Evolution of Agropyron.

Plants of the Agropyron genus are important pasture resources, and they also play important roles in the ecological restoration. Chloroplast genomes are inherited from maternal parents, and they are important for studying species taxonomy and evolution. In this study, we sequenced the complete chloroplast genomes of five typical species of the Agropyron genus (eg., A. cristatum × A. desertorum Fisch. Schult, A. desertorum, A. desertorum Fisch. Schult. cv. Nordan, A. michnoi Roshev, and A. mongolicum Keng) using the Illumina NovaSeq platform. We found that these five chloroplast genomes exhibit a typical quadripartite structure with a conserved genome arrangement and structure. Their chloroplast genomes contain the large single-copy regions (LSC, 79,613 bp-79,634 bp), the small single-copy regions (SSC, 12,760 bp-12,768 bp), and the inverted repeat regions (IR, 43,060 bp-43,090 bp). Each of the five chloroplast genomes contains 129 genes, including 38 tRNA genes, eight rRNA genes, and 83 protein-coding genes. Among them, the genes trnG-GCC, matK, petL, ccsA, and rpl32 showed significant nucleotide diversity in these five species, and they may be used as molecular markers in taxonomic studies. Phylogenetic analysis showed that A. mongolicum is closely related to A. michnoi, while others have a closer genetic relationship with the Triticum genus.

Biomimetic platelet membrane-coated nanoparticles for targeted therapy.

The development of cell membrane-modified biomimetic nanoparticles has extensively increased during the past years due to their exceptional biocompatibility, evasion from the immune system, and targeting ability. Known as a cutting-edge area of research in nanomedicine, such novel nanoplatforms can mimic different functions of the primary cells, while successfully delivering their cargos to the defect site with the aim of enhancing the therapeutic responses and reducing the side effects. Platelet is a key factor for haemostasis and a major player in wound healing, inflammation, and many other biological functions and pathological conditions. As a highly responsive cell, platelets can adapt to environment modifications and release several soluble biomolecules, such as growth factors, coagulant factors, and extracellular vesicles. Additionally, platelets are capable of immune system evasion, sub-endothelial adhesion, and pathogen interaction. These characteristics have inspired the design of several platelet membrane-coated nanoparticles as drug delivery systems. This review describes the current developments in platelet membrane-coated nanoparticles for targeted therapy, specifically, their advantages compared to other biomimetic cell-derived nanoparticles and their applicability in the medical field are elucidated. Finally, the challenges and future perspectives associated with this nanoplatform are summarised.

Serum Raman spectroscopy combined with multiple algorithms for diagnosing thyroid dysfunction and chronic renal failure.

In this study, 60 samples taken from patients with thyroid dysfunction, 40 samples taken from patients with chronic renal failure (CRF) and 60 samples taken from healthy people were classified. We used partial least squares (PLS) to extract features to reduce the dimension of the spectral data to discriminate among the different samples. The Decision Trees (DT), Extreme Learning Machine (ELM), Probabilistic Neural Network (PNN), Back Propagation Neural Network (BPNN) and Learning Vector Quantization (LVQ) algorithms were used to build classification models and compare the results. The PLS-PNN algorithm distinguished between patients with thyroid dysfunction and patients with chronic renal failure with up to a 96.67 % accuracy rate, the PLS-BP algorithm distinguished between patients with chronic renal failure and healthy people with up to a 98.33 % accuracy rate, and the PLS-PNN algorithm and the PLS-DT algorithm distinguished between healthy people and patients with chronic renal failure with up to a 100 % accuracy rate. The results showed that serum Raman spectroscopy can be used in conjunction with classification algorithms to rapidly and accurately diagnose and distinguish between thyroid dysfunction and chronic renal failure.

Rapid detection of seven indexes in sheep serum based on Raman spectroscopy combined with DOSC-SPA-PLSR-DS model.

Hepatic fascioliasis, ketosis of pregnancy, toxemia of pregnancy and other common sheep diseases will directly affect the concentration (/enzymatic activity) of seven indicators, such as cortisol and high-density lipoprotein cholesterol (HDL-C) in sheep serum. Whether the concentrations (/enzymatic activity) of these indicators can be detected quickly will directly affect the prevention of sheep diseases and the targeted adjustment of breeding methods, thereby affecting the economic benefits of sheep breeding. In this research, we established partial least square regression (PLSR), support vector regression based on genetic algorithm optimization (GA-SVR) and extreme learning machine (ELM) models. Due to the large differences in the content of different substances, it is difficult to directly use the RMSE to evaluate the quantitative effect of the model. This study is the first to propose conducting deviation standardization (DS) for the determination results of various substances. To further improve the performance of the model, we use the successive projections algorithm (SPA) to optimize feature extraction and combine it with the better-performing PLSR model for training. The results show that the optimized DOSC-SPA-PLSR-DS quantitative model has better determination results for 101 sheep serum samples. The average RMSEp* of the concentration of the six substances decreased from 0.0408 to 0.0387, the Rp2 increased from 0.9758 to 0.9846, and the running time was reduced from 0.1659 to 0.0008 s. And the determination performance of lipase (LPS) enzymatic activity has also been improved. The results of this research show that sheep serum Raman spectroscopy combined with DOSC-SPA-PLSR-DS optimization can efficiently monitor the concentration (/enzyme activity) of seven indicators in real time and provide a new strategy for future intelligent supervision of animal husbandry.

Cadmium risk in the soil-plant system caused by weathering of carbonate bedrock.

Enrichment of cadmium (Cd) during weathering and pedogenesis of carbonate rocks has resulted in large areas of lands with soil Cd concentrations exceeding the official guidelines in China and other countries. However, it is reported in many studies that the risk of soil contamination by Cd from this natural process can be neglected as most of the Cd is not bioavailable. Noticing that the previous studies focused only on eluvial areas but not on lowland alluvium, where Cd from the eluvial areas can be transported and accumulated, we selected the Qingyang county in Anhui province, where there are two small drainage basins developed wholly on carbonate bedrock, to compare the Cd speciation and activity between eluvium and alluvium, and to evaluate the risk of Cd pollution to the latter. By the application of systematic sampling and analysis of the bedrock, soil, and rice grain samples, and in comparison with the previously acknowledged "high background with low mobility" area in Guizhou, it was found that soil developed from alluvium has both higher total Cd and higher mobile Cd proportion than soil from the upland eluvium. A very high percentage of rice grain samples (51%) grown on the alluvial soil exceeded the food standard for Cd (0.2 mg kg-1). Therefore, the spatial division of alluvium and eluvium should be the first step in the assessment of the Cd risk in carbonate regions, and special attention should be given to soil developed from alluvium.

Discrimination of alcohol dependence based on the convolutional neural network.

In this paper, a total of 20 sites of single nucleotide polymorphisms (SNPs) on the serotonin 3 receptor A gene (HTR3A) and B gene (HTR3B) are used for feature fusion with age, education and marital status information, and the grid search-support vector machine (GS-SVM), the convolutional neural network (CNN) and the convolutional neural network combined with long and short-term memory (CNN-LSTM) are used to classify and discriminate between alcohol-dependent patients (AD) and the non-alcohol-dependent control group. The results show that 19 SNPs combined with academic qualifications have the best discrimination effect. In the GS-SVM, the area under the receiver operating characteristic (ROC) curve (AUC) is 0.87, the AUC of CNN-LSTM is 0.88, and the performance of the CNN model is the best, with an AUC of 0.92. This study shows that the CNN model can more accurately discriminate AD than the SVM to treat patients in time.

Effects of κ-carrageenan on pullulan's rheological and texture properties as well as pullulan hard capsule performances.

κ-Carrageenan (κ-Ca) is often used to facilitate gelling of aqueous solutions of polysaccharides. However, studies on its effects on pullulan's rheological and texture properties and pullulan (PUL) hard capsule performances have rarely been reported. Herein, effects of κ-Ca on PUL solutions, hydrogels, films and hard capsules were investigated. It was found that the gelling temperature of 15 % (w/w) PUL solutions with 0.07 % KCl increased from 34 ℃ to 42 ℃ as the concentration of κ-Ca increased from 0.6 % to 1.2 %, and the gelling temperature rose from 25 ℃ to 37 ℃ by adding a small amount of KCl (0.07 %) for 15 % PUL solutions with 0.9 % κ-Ca. As the κ-Ca concentration increased, hardness, fracturability and adhesiveness rose for PUL gels and tensile stress increased for PUL films. PUL capsules could be easily prepared by the aid of κ-Ca, and performances of capsules could be adjusted by changing the amount of κ-Ca.

Moisture sorption and desorption properties of gelatin, HPMC and pullulan hard capsules.

The moisture sorption and desorption properties of hard capsules have a great influence on the quality of capsule products. However, studies on them have rarely been reported. Herein, we studied the moisture sorption and desorption properties of three kinds of hard capsules (gelatin, hydroxypropyl methyl cellulose (HPMC) and pullulan capsules) in terms of hygroscopicity, crystallinity, thermal behaviors and so on. It is found that HPMC capsules have weaker moisture sorption ability and moisture keeping ability than pullulan or gelatin capsules with lower moisture sorption rates, equilibrium moisture contents, moisture keeping rates and higher critical relative humidity. In comparison with gelatin capsules, pullulan capsules have weaker moisture sorption ability and comparable moisture keeping ability. HPMC or pullulan capsules can more effectively protect high, moderate and low hygroscopic capsule contents (chitosan, potato starch or ethyl cellulose) from outside moisture absorption. The diffraction peaks of the moisture equilibrated gelatin, HPMC and pullulan capsules are much smaller than those of their dried ones. The dried and the moisture equilibrated gelatin, HPMC or pullulan capsules all have smooth surface morphology. HPMC or pullulan capsules can be an attractive alternative to animal gelatin capsules due to their appropriate moisture sorption and desorption properties.

Classification of multicategory edible fungi based on the infrared spectra of caps and stalks.

As a characteristic edible fungus with a high nutritional value and medicinal effect, the Bachu mushroom has a broad market. To distinguish among Bachu mushrooms with high value and other fungi effectively and accurately, as well as to explore a universal identification method, this study proposed a method to identify Bachu mushrooms by Fourier Transform Infrared Spectroscopy (FT-IR) combined with machine learning. In this experiment, two kinds of common edible mushrooms, Lentinus edodes and club fungi, were selected and classified with Bachu mushrooms. Due to the different distribution of nutrients in the caps and stalks, the caps and stalks were studied in this experiment. By comparing the average normalized infrared spectra of the caps and stalks of the three types of fungi, we found differences in their infrared spectra, indicating that the latter can be used to classify and identify the three types of fungi. We also used machine learning to process the spectral data. The overall steps of data processing are as follows: use partial least squares (PLS) to extract spectral features, select the appropriate characteristic number, use different classification algorithms for classification, and finally determine the best algorithm according to the classification results. Among them, the basis of selecting the characteristic number was the cumulative variance interpretation rate. To improve the reliability of the experimental results, this study also used the classification results to verify the feasibility. The classification algorithms used in this study were the support vector machine (SVM), backpropagation neural network (BPNN) and k-nearest neighbors (KNN) algorithm. The results showed that the three algorithms achieved good results in the multivariate classification of the caps and stalks data. Moreover, the cumulative variance explanation rate could be used to select the characteristic number. Finally, by comparing the classification results of the three algorithms, the classification effect of KNN was found to be the best. Additionally, the classification results were as follows: according to the caps data classification, the accuracy was 99.06%; according to the stalks data classification, the accuracy was 99.82%. This study showed that infrared spectroscopy combined with a machine learning algorithm has the potential to be applied to identify Bachu mushrooms and the cumulative variance explanation rate can be used to select the characteristic number. This method can also be used to identify other types of edible fungi and has a broad application prospect.

Insight on the changes of cassava and potato starch granules during gelatinization.

Gelatinization is an important property of starch for biomedical applications. However, studies on the changes in starch granules in terms of morphology, swelling, amylose leaching and so on during gelatinization, which are key to uncovering the starch gelatinization process, have rarely been reported. Herein, changes of cassava and potato starch granules during gelatinization were investigated. It was found that there is a substantial difference in the granule changes during gelatinization between cassava and potato starch. Cassava starch granules remain intact with slight swelling, with approximately 8.5% amylose leaching in water for 30 min at 60 °C. In sharp contrast, potato starch granules swell very well and rapidly, losing much integrity with 51.05% amylose leaching. The gelatinization time and temperature have much greater effects on the changes of potato starch granules than cassava starch granules.

[Applicability of Bioavailable Phosphorus in Sediments to Indicating Trophic Levels of Lakes and Reservoirs].

Twelve lakes and reservoirs with different water depths and different water residence times were studied to identify the applicability of bioavailable phosphorus of sediments in indicating trophic levels. Water and sediment samples were collected in these 12 lakes and reservoirs to analyze the relationship of nutrient levels between the sediment and the water column. Sodium hydroxide extracted phosphorus (NaOH-P) determined using the SMT classification method is defined as the bioavailable phosphorus of sediment. The results showed that total phosphorus levels in sediments in different lakes and reservoirs ranged from 225 to 760 mg·kg-1 (mean value 502 mg·kg-1); the NaOH-P levels in sediments ranged from 86 to 584 mg·kg-1 (mean value 263 mg·kg-1); the total phosphorus concentrations in the water was 0.02-0.35 mg·L-1 (mean value 0.11 mg·L-1), and the chlorophyll a concentrations in the water were 3-349 µg·L-1 (mean value 51 µg·L-1). It was found that NaOH-P was more effective than total phosphorus in indicating the trophic status of the lakes and reservoirs. However, the NaOH-P levels were significantly related to the phosphorus concentrations in the water column only in shallow water with a long residence time. It was revealed that water residence time and water depth are two key factors that affect the relationship of the phosphorus content between the sediment and the water column. In deep waters or waters with short residence time, the NaOH-P content in the sediment hardly influenced the phosphorus concentration in the water columns, even at high levels. However, in shallow waters with long residence time, the sediment acted as both sources and sinks and frequently exchanged nutrients with the overlying water, especially during bloom periods in summer. Thus NaOH-P could be a potential risk of eutrophication in such waters.

3D printing and coating to fabricate a hollow bullet-shaped implant with porous surface for controlled cytoxan release.

Intratumoral implants have aroused great interests for local chemotherapy of cancer, however, how to efficiently control drug release from implants is still a great challenge. Herein, we designed and prepared a new hollow bullet-shaped implant with porous surface by 3D printing, loaded chemotherapeutic agent cytoxan (CTX) with tetradecyl alcohol or lecithin as matrix and coated it with poly (lactic acid) to obtain a CTX implant, which has a highly tuned drug release property with a drug release time from 4 h to more than 1 month. The drug release from the implant can be easily controlled by changing pore sizes, kinds of matrices, and coating thickness.

Angiopep-2 modified PEGylated 2-methoxyestradiol micelles to treat the PC12 cells with oxygen-glucose deprivation/reoxygenation.

2-Methoxyestradiol (2ME2), as a microtubule and hypoxia-inducible factor-1 (HIF-1) inhibitor, can be used to treat cerebral ischemia-reperfusion (I/R) injury. However, its poor water solubility compromises its efficacy as a neuroprotectant. Herein, we synthesized PEGylated 2ME2 and angiopep-2 capped PEGylated 2ME2 and fabricated angiopep-2 modified PEGylated 2ME2 micelles containing free 2ME2 (ANG-PEG-2ME2/2ME2) via emulsion-solvent evaporation method. The effect of the micelles on ischemia-reoxygenation injury was evaluated by oxygen-glucose deprivation/reoxygenation (OGD/R) models with different degrees of PC12 cell damage. In comparison with free 2ME2, the micelles significantly increased the cell viability, inhibited reactive oxygen species (ROS) generation and apoptosis for PC12 cells with 0.5 and 4 h OGD followed by 24 h reoxygenation. Taken together, the angiopep-2 modified 2ME2-loaded micelles could effectively reduce the injury of PC12 cells induced by OGD/R.

[Clinical Efficacy and Safety of Rituximab Combined with Fludarabine and Cyclophosphamide for Treatment of Chronic Lymphocytic Leukemia].

OBJECTIVE: To explore the clinical efficacy and safety of rituximab combined with fludarabine and cyclophosphamide for the treatment of the chronic lymphocytic leukemia (CLL). METHODS: Forty cases of CLL patients treated in our hospital from March 2010 to March 2014 years were selected and divided into the observation group (20 cases) and control group (20 cases) by random number table method. The patients in control group were treated with CHOP chemotherapy, the patients in observation group were treated with rituximab combined with fludarabine, cyclophosphamide treatment. The therapeutic efficacy of patients in 2 groups was analyzed according to the peripheral hemogram indexes, symptom and sign disappeared time as well as adverse reaction incidence. RESULTS: the remission rate in observation group was 90.00%, which was significantly higher than that in control group (70.00%) (P < 0.05); the peripheral hemogram indexes in 2 groups before treatment showed no significant difference (P > 0.05), and were significantly improved after treatment, but the white blood cell count and lymphocyte absolute number were significantly lower in observation group as compared to the control group (P < 0.05); symptom and sign disappeared time in observation group were significantly shorter as compared with the control group (P < 0.05); adverse reaction incidence in obseovation group was significantly lower as compared with control group (P < 0.05). CONCLUSION: application of rituximab combined with fludarabine and cyclophosphamide in the treatment of CLL shows the higher curative effect, can effectively improve the symptoms and reduce the incidence of adverse reactions. It is worthy to be popularized.