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22 pages, 7927 KiB  
Article
Chemical Investigation and Regulation of Adipogenic Differentiation of Cultivated Moringa oleifera
by Duc Dat Le, Eunbin Kim, Thinhulinh Dang, Jiseok Lee, Choon Ho Shin, Jin Woo Park, Seul-gi Lee, Jong Bae Seo and Mina Lee
Pharmaceuticals 2024, 17(10), 1310; https://doi.org/10.3390/ph17101310 (registering DOI) - 1 Oct 2024
Abstract
Background/Objectives: Moringa oleifera is a matrix plant with the high potential to cure several diseases with its medicinal and ethnopharmacological value and nutraceutical properties. In this study, we investigated the chemical and biological properties of this plant cultivated in our local region. [...] Read more.
Background/Objectives: Moringa oleifera is a matrix plant with the high potential to cure several diseases with its medicinal and ethnopharmacological value and nutraceutical properties. In this study, we investigated the chemical and biological properties of this plant cultivated in our local region. Methods: Leaves, roots, seeds, stem bark, and twigs of oleifera were extracted and evaluated bioactivities targeting intracellular lipid accumulation and adipocyte differentiation in 3T3-L1 preadipocytes, and UHPLC-ESI-Orbitrap-MS/MS-Based molecular networking guided isolation and dereplication of metabolites from these extracts. Results: Five extracts of different organs of M. oleifera significantly stimulated intracellular lipid accumulation and adipocyte differentiation in 3T3-L1 preadipocytes in a concentration-dependent manner. These extracts markedly increased the expression of genes related to adipogenesis and lipogenesis. Notably, these extracts promoted peroxisome proliferator-activated receptor γ (PPARγ) activity and the expression of its target genes, including phosphoenolpyruvate carboxykinase, fatty acid-binding protein 4, and perilipin-2. These adipogenic and lipogenic effects of Moringa extracts through the regulation of PPARγ activity suggests their potential efficacy in preventing or treating type 2 diabetes. Furthermore, chemical investigation revealed high contents of phytonutrients as rich sources of secondary metabolites including glycosides, flavones, fatty acids, phenolics, and other compounds. In addition, in silico studies on major components of these extracts revealed the bioavailability of major components through their binding affinity to respective proteins targeting adipocyte differentiation. Full article
Show Figures

Figure 1

Figure 1
<p>Stimulatory effects of Moringa extracts on adipocyte differentiation. The 3T3-L1 preadipocytes were cultured in a 0.1× differentiation induction medium for 6 days, either without (control) or with each Moringa extracts (100 μg/mL). (<b>A</b>) Cells were differentiated for 6 days were then stained with Nile Red to visualize lipid droplets and Hoechst 33342 to stain nuclei. Images were acquired by epifluorescence microscopy. Scale bar = 100 µm. (<b>B</b>,<b>C</b>) Quantification of Nile Red intensity and cell viability was performed using ImageJ software(version 1.54f). Nile Red fluorescence was normalized to the cell count determined by Hoechst 33342 staining. (<b>D</b>) mRNA expression levels of adipogenic genes were measured by qRT-PCR analysis. Data are shown as mean ± SEM (<span class="html-italic">n</span> = 4 per group). (<b>E</b>) The protein expression levels of PPARγ and adiponectin were analyzed using Western blotting. Results are shown as mean ± SEM (<span class="html-italic">n</span> = 2 per group). (<b>F</b>) mRNA expression levels of lipogenic genes were measured by qRT-PCR. Relative mRNA expression levels were normalized to 36B4 and are shown as mean ± SEM (<span class="html-italic">n</span> = 4 per group). All data are indicated as *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001 versus control group.</p>
Full article ">Figure 2
<p>Leaf extract of <span class="html-italic">M. oleifera</span> promotes adipocyte differentiation. The 3T3-L1 preadipocytes were cultured in a 0.1× differentiation induction medium for 6 days, either without (control) or with various concentrations of leaf extract (30, 100, and 300 μg/mL) of <span class="html-italic">M. oleifera</span>. (<b>A</b>) Following 6 days of differentiation, cells were stained with Nile Red and Hoechst 33342. Images were acquired by epifluorescence microscopy. Scale bar = 100 µm. (<b>B</b>,<b>C</b>) ImageJ software was used to quantify Nile Red staining intensity and cell viability. Data are shown as mean ± SEM (<span class="html-italic">n</span> = 4 per group). (<b>D</b>) mRNA expression levels of adipogenic genes were analyzed using qRT-PCR analysis. (<b>E</b>) Protein levels of PPARγ and Adiponectin were determined by Western blotting. Results are shown as mean ± SEM (<span class="html-italic">n</span> = 2 per group). (<b>F</b>) mRNA expression levels of lipogenic genes were measured by qRT-PCR analysis. Relative mRNA expression levels were normalized to 36B4 and are shown as mean ± SEM (<span class="html-italic">n</span> = 4 per group). All data are indicated as *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001 versus control group.</p>
Full article ">Figure 3
<p>Stem bark extract of <span class="html-italic">M. oleifera</span> induced adipocyte differentiation. The 3T3-L1 preadipocytes were cultured in a 0.1× differentiation induction medium for 6 days, either without (control) or with various concentrations of the stem bark extract (30, 100, and 300 μg/mL). (<b>A</b>) After 6 days, cells were stained with Nile Red and Hoechst33342. Images were acquired by epifluorescence microscopy. Scale bar = 100 µm. (<b>B</b>,<b>C</b>) Quantification of Nile Red intensity and cell viability was performed using ImageJ software. Data are shown as mean ± SEM (<span class="html-italic">n</span> = 4 per group). (<b>D</b>) mRNA expression levels of adipogenic genes were measured using qRT-PCR analysis. (<b>E</b>) Protein expression levels of PPARγ and adiponectin were assessed by Western blotting, with results shown as mean ± SEM (<span class="html-italic">n</span> = 2 per group). (<b>F</b>) mRNA expression levels of lipogenic genes were measured using qRT-PCR analysis. Relative mRNA expression levels were normalized to 36B4 and are shown as mean ± SEM (<span class="html-italic">n</span> = 4 per group). All data are presented as *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001 versus control group.</p>
Full article ">Figure 4
<p>Twig extract of <span class="html-italic">M. oleifera</span> stimulates the adipocyte differentiation of 3T3-L1 preadipocytes. Cells were cultured in a 0.1× differentiation induction medium for 6 days, either without (control) or with various concentrations of MRG twig extracts. (<b>A</b>) Cells differentiated for 6 days were stained with Nile Red and Hoechst33342. Images were acquired by epifluorescence microscopy. Scale bar = 100 µm. (<b>B</b>,<b>C</b>) The intensity of Nile Red staining and cell viability were quantified using ImageJ software. Results are shown as mean ± SEM (<span class="html-italic">n</span> = 4 per group). (<b>D</b>) mRNA expression levels of adipogenic genes were analyzed using qRT-PCR analysis. (<b>E</b>) Expression levels of PPARγ and adiponectin proteins were determined by Western blotting, with data shown as mean ± SEM (<span class="html-italic">n</span> = 2 per group). (<b>F</b>) mRNA expression levels of lipogenic genes were measured using qRT-PCR analysis. Relative mRNA levels were normalized to 36B4 and are presented as mean ± SEM (<span class="html-italic">n</span> = 4 per group). Statistical significance is indicated as *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001 versus control group.</p>
Full article ">Figure 5
<p>The leaf, stem bark, and twig extracts of <span class="html-italic">M. oleifera</span> increase PPARγ activity and the expression of PPARγ target genes. (<b>A</b>) h293a cells were transfected with DR-1-Luc, which contained three PPRE sequences upstream of the luciferase gene and indicated PPARγ and RXRα. After a day, indicated Moringa extracts of various doses (10, 30, and 100 μg/mL) or 10 μM of rosiglitazone were treated for a day. Measured luminescence levels were normalized with O.D values of the <span class="html-italic">β</span>-gal assay. N.S., not significant. (<b>B</b>) Differentiated adipocytes were seeded in a 12-well plate and treated with 100 μg/mL of indicated Moringa extracts or 10 μM rosiglitazone (positive control) or DMSO (negative group) for 2 days. Each RNA was used for qRT-PCR analysis. All data are presented as the mean ± SEM of two independent experiments (<span class="html-italic">n</span> = 4). *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001 versus control group.</p>
Full article ">Figure 6
<p>Chromatograms of five extracts of leaves (L), roots (R), seeds (S), stem bark (SB), and twigs (T) of <span class="html-italic">M</span>. <span class="html-italic">oleifera</span>.</p>
Full article ">Figure 7
<p>Molecular docking of compounds <b>10</b> (cyan), <b>18</b> (blue), <b>28</b> (red), <b>37</b> (light orange), <b>41</b> (light blue), <b>43</b> (yellow), <b>46</b> (magenta), and co-crystallized ligand (2.4-thiazolidinedione, 5-[[4-[2-(methyl-2pyridinylamino)ethoxy]phenyl]methyl]-9cl, docked into PPARγ protein (PDB ID 4EMA).</p>
Full article ">Figure 8
<p>Molecular docking of compounds <b>10</b> (cyan), <b>18</b> (blue), <b>28</b> (red), <b>37</b> (light orange), <b>41</b> (light blue), <b>43</b> (yellow), <b>46</b> (magenta), and the co-crystallized ligand ((2′-(5-ethyl-3,4-diphenyl-1H-pyrazol-1-yl)-3-biphenylyl)oxy)acetic acid, docked into FABP4 protein (PDB ID 2NNQ).</p>
Full article ">Figure 9
<p>Molecular docking of compounds <b>10</b> (cyan), <b>18</b> (blue), <b>28</b> (red), <b>37</b> (light orange), <b>41</b> (light blue), <b>43</b> (yellow), <b>46</b> (magenta), docked into adiponectin protein (PDB ID: 6KS0).</p>
Full article ">
16 pages, 5510 KiB  
Article
Transcriptome Analysis Revealed the Response Mechanism of Pomegranate to Salt Stress
by Haixia Tang, Chuanzeng Wang, Jian Mei, Lijuan Feng, Qikui Wu and Yanlei Yin
Agronomy 2024, 14(10), 2261; https://doi.org/10.3390/agronomy14102261 (registering DOI) - 1 Oct 2024
Abstract
Pomegranate (Punica granatum) is a well-known fruit tree species and a significant pioneer ecological species on saline–alkali land with moderate resistance to salt stress. To explore its response mechanism to salt stress could provide valuable insights into the molecular and physiological [...] Read more.
Pomegranate (Punica granatum) is a well-known fruit tree species and a significant pioneer ecological species on saline–alkali land with moderate resistance to salt stress. To explore its response mechanism to salt stress could provide valuable insights into the molecular and physiological strategies plants employ to adapt and survive in high-salt environments. In this study, changes in physiological parameters and gene expressions were examined following salt treatment. After 72 h of salt treatment, change patterns of SOD and POD differed between high and low salt concentrations. Similar changes were found in the contents of proline and total soluble sugar. RNA-Seq analysis of fifteen samples detected 32,630 genes from the pomegranate genome data. A total of 6571 DEGs, including 374 TFs, were identified across different treatments. Six special modules and 180 hub genes were obtained by WGCNA analysis. Functional annotation highlighted signaling pathways and the accumulation of primary and secondary metabolites as significant pathways. These findings could reveal the salt tolerance mechanism in pomegranate leaves, offering a theoretical foundation for enhancing plant salt tolerance through genetic engineering. Full article
(This article belongs to the Special Issue Crop and Vegetable Physiology under Environmental Stresses)
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Figure 1

Figure 1
<p>The change trends of physiological characteristics under different salt treatments. (<b>a</b>) SOD activity; (<b>b</b>) POD activity; (<b>c</b>) proline content; (<b>d</b>) total soluble sugar content. The different small letters indicate significant difference between clusters at α = 0.05 based on Duncan’s test.</p>
Full article ">Figure 2
<p>Gene expression analysis under different salt treatments. (<b>a</b>) Expression level distribution of different samples; (<b>b</b>) heatmap of sample correlation analysis result based on global transcriptome expression; (<b>c</b>) PCA result based on global transcriptome expression; (<b>d</b>) HCA result based on global transcriptome expression.</p>
Full article ">Figure 3
<p>Gene distribution and functional annotation of DEGs between different treatments. (<b>a</b>) The distribution of up- and down-regulated DEGs in different samples; (<b>b</b>) the Venn diagram analysis; (<b>c</b>) GO annotation analysis; (<b>d</b>) KEGG enrichment analysis.</p>
Full article ">Figure 4
<p>Expression profile of DEGs associated with salt stress. AKT: Non-specific serine/threonine protein kinase; AMY: Alpha-amylase; ARF: Auxin response factor; BACT: Fructose-bisphosphate aldolase; CAT: Catalase; CESA: Cellulose synthase; CP: Carboxypeptidase; CPA: Vacuolar cation/proton exchanger; CTA: Calcium-transporting ATPase; DGK: Diacylglycerol kinase; EG: Endoglucanase; GAL: Beta-galactosidase; GAPD: Glyceraldehyde-3-phosphate dehydrogenase; GDH: Glutamate dehydrogenase; HKT: Potassium transporter; IAA: Auxin-responsive protein; MDH: Malate dehydrogenase; NHX: Sodium/hydrogen exchanger; PE: Pectinesterase; PFN: Profilin; PFP: Pyrophosphate-fructose 6-phosphate 1-phosphotransferase; PIN: Auxin efflux carrier component; PLP: Patatin-like protein; POD: Peroxidase; PP: Serine/threonine-protein phosphatase; SUS: Sucrose synthase; SWEET: Bidirectional sugar transporter SWEET; TPP: Trehalose 6-phosphate phosphatase.</p>
Full article ">Figure 5
<p>The number and expression patterns of differentially expressed TFs under different salt treatments. (<b>a</b>) The distribution of identified TFs; (<b>b</b>) the expression patterns of identified TFs. The black lines represented the overall expression trend of TF in each group.</p>
Full article ">Figure 6
<p>The construction of DEG weighted co-expression network. (<b>a</b>) Clustering dendrogram of DEGs; (<b>b</b>) gene number of each module. Different color regions provide a simple visual comparison of module assignments based on the dynamic hybrid branch-cutting method.</p>
Full article ">Figure 7
<p>Visualization of gene expression levels and eigengene values of significant modules. (<b>a</b>) Correlation analysis between modules and treatments; (<b>b</b>) Gene expression patterns of each module.</p>
Full article ">Figure 8
<p>Visualization network of genes connections in each module. The genes with red and blue borders are the identified hub genes and TFs, respectively.</p>
Full article ">Figure 9
<p>Gene expression patterns of twelve key genes under different salt treatments measured by RT-qPCR and RNA-Seq, respectively.</p>
Full article ">
18 pages, 1785 KiB  
Article
Multi-Omics Analysis Unravels the Impact of Stool Sample Logistics on Metabolites and Microbial Composition
by Jannike L. Krause, Beatrice Engelmann, David J. D. Lallinger, Ulrike Rolle-Kampczyk, Martin von Bergen and Hyun-Dong Chang
Microorganisms 2024, 12(10), 1998; https://doi.org/10.3390/microorganisms12101998 (registering DOI) - 30 Sep 2024
Abstract
Human health and the human microbiome are inevitably intertwined, increasing their relevance in clinical research. However, the collection, transportation and storage of faecal samples may introduce bias due to methodological differences, especially since postal shipping is a common practise in large-scale clinical cohort [...] Read more.
Human health and the human microbiome are inevitably intertwined, increasing their relevance in clinical research. However, the collection, transportation and storage of faecal samples may introduce bias due to methodological differences, especially since postal shipping is a common practise in large-scale clinical cohort studies. Using four different Omics layer, we determined the structural (16S rRNA sequencing, cytometric microbiota profiling) and functional integrity (SCFAs, global metabolome) of the microbiota in relation to different easy-to-handle conditions. These conditions were storage at −20 °C, −20 °C as glycerol stock, 4 °C and room temperature with and without oxygen exposure for a maximum of one week. Storage time affected the microbiota on all Omics levels. However, the magnitude was donor-dependent, highlighting the need for purpose-optimized sample collection in clinical multi-donor studies. The effects of oxygen exposure were negligible for all analyses. At ambient temperature, SCFA and compositional profiles were stable for 24 h and 48 h, respectively, while at 4 °C, SCFA profiles were maintained for 48 h. The global metabolome was highly susceptible, already changing at 24 h in non-frozen conditions. Thus, faecal microbiota was best preserved on all levels when transported as a native sample frozen within 24 h, leading to the least biased outcomes in the analysis. We conclude that the immediate freezing of native stool samples for transportation to the lab is best suited for planned multi-Omics analyses that include metabolomics to extend standard sequencing approaches. Full article
(This article belongs to the Special Issue Effects of Gut Microbiota on Human Health and Disease)
17 pages, 1922 KiB  
Article
Identification of Grape Laccase Genes and Their Potential Role in Secondary Metabolite Synthesis
by Hao Wang, Haixia Zhong, Fuchun Zhang, Chuan Zhang, Songlin Zhang, Xiaoming Zhou, Xinyu Wu and Vivek Yadav
Int. J. Mol. Sci. 2024, 25(19), 10574; https://doi.org/10.3390/ijms251910574 (registering DOI) - 30 Sep 2024
Abstract
Laccase, a copper-containing oxidoreductase, has close links with secondary metabolite biosynthesis in plants. Its activity can affect the synthesis and accumulation of secondary metabolites, thereby influencing plant growth, development, and stress resistance. This study aims to identify the grape laccases (VviLAC) [...] Read more.
Laccase, a copper-containing oxidoreductase, has close links with secondary metabolite biosynthesis in plants. Its activity can affect the synthesis and accumulation of secondary metabolites, thereby influencing plant growth, development, and stress resistance. This study aims to identify the grape laccases (VviLAC) gene family members in grape (Vitis vinifera L.) and explore the transcriptional regulatory network in berry development. Here, 115 VviLACs were identified and divided into seven (Type I–VII) classes. These were distributed on 17 chromosomes and out of 47 VviLACs on chromosome 18, 34 (72.34%) were involved in tandem duplication events. VviLAC1, VviLAC2, VviLAC3, and VviLAC62 were highly expressed before fruit color development, while VviLAC4, VviLAC12, VviLAC16, VviLAC18, VviLAC20, VviLAC53, VviLAC60 and VviLAC105 were highly expressed after fruit color transformation. Notably, VviLAC105 showed a significant positive correlation with important metabolites including resveratrol, resveratrol dimer, and peonidin-3-glucoside. Analysis of the transcriptional regulatory network predicted that the 12 different transcription factors target VviLACs genes. Specifically, WRKY and ERF were identified as potential transcriptional regulatory factors for VviLAC105, while Dof and MYB were identified as potential transcriptional regulatory factors for VviLAC51. This study identifies and provides basic information on the grape LAC gene family members and, in combination with transcriptome and metabolome data, predicts the upstream transcriptional regulatory network of VviLACs. Full article
(This article belongs to the Special Issue Advances in Plant Genomics and Genetics)
20 pages, 1958 KiB  
Article
Ionizing Radiation Dose Differentially Affects the Host–Microbe Relationship over Time
by Nabarun Chakraborty, Allison Hoke, Ross Campbell, Gregory Holmes-Hampton, Vidya P. Kumar, Candace Moyler, Aarti Gautam, Rasha Hammamieh and Sanchita P. Ghosh
Microorganisms 2024, 12(10), 1995; https://doi.org/10.3390/microorganisms12101995 (registering DOI) - 30 Sep 2024
Abstract
Microorganisms that colonize in or on a host play significant roles in regulating the host’s immunological fitness and bioenergy production, thus controlling the host’s stress responses. Radiation elicits a pro-inflammatory and bioenergy-expensive state, which could influence the gut microbial compositions and, therefore, the [...] Read more.
Microorganisms that colonize in or on a host play significant roles in regulating the host’s immunological fitness and bioenergy production, thus controlling the host’s stress responses. Radiation elicits a pro-inflammatory and bioenergy-expensive state, which could influence the gut microbial compositions and, therefore, the host–microbe bidirectional relationship. To test this hypothesis, young adult mice were exposed to total body irradiation (TBI) at doses of 9.5 Gy and 11 Gy, respectively. The irradiated mice were euthanized on days 1, 3, and 9 post TBI, and their descending colon contents (DCCs) were collected. The 16S ribosomal RNAs from the DCCs were screened to find the differentially enriched bacterial taxa due to TBI. Subsequently, these data were analyzed to identify the metagenome-specific biofunctions. The bacterial community of the DCCs showed increased levels of diversity as time progressed following TBI. The abundance profile was the most divergent at day 9 post 11 Gy TBI. For instance, an anti-inflammatory and energy-harvesting bacterium, namely, Firmicutes, became highly abundant and co-expressed in the DCC with pro-inflammatory Deferribacteres at day 9 post 11 Gy TBI. A systems evaluation found a diverging trend in the regulation profiles of the functional networks that were linked to the bacteria and metabolites of the DCCs, respectively. Additionally, the network clusters associated with lipid metabolism and bioenergy synthesis were found to be activated in the DCC bacteria but inhibited in the metabolite space at day 9 post 11 Gy. Taking these results together, the present analysis indicated a disrupted mouse–bacteria symbiotic relationship as time progressed after lethal irradiation. This information can help develop precise interventions to ameliorate the symptoms triggered by TBI. Full article
(This article belongs to the Section Microbiomes)
18 pages, 4759 KiB  
Article
Effects of Supplementation with Essential Fatty Acids and Conjugated Linoleic Acids on Muscle Structure and Fat Deposition in Lactating Holstein Cows
by Cheng Xiao, Elke Albrecht, Dirk Dannenberger, Weibo Kong, Hao Gu, Harald M. Hammon and Steffen Maak
Agriculture 2024, 14(10), 1720; https://doi.org/10.3390/agriculture14101720 - 30 Sep 2024
Abstract
High-yielding dairy cows need diets that meet their energy demand and contain sufficient essential nutrients such as n-3 fatty acids (FAs). Conjugated linoleic acid (CLA) is able to relieve the energy metabolism, but common corn silage and concentrate-based diets contain insufficient amounts of [...] Read more.
High-yielding dairy cows need diets that meet their energy demand and contain sufficient essential nutrients such as n-3 fatty acids (FAs). Conjugated linoleic acid (CLA) is able to relieve the energy metabolism, but common corn silage and concentrate-based diets contain insufficient amounts of essential fatty acids (EFA). Abomasal infusion was used in the current study to supplement cows from 9 weeks antepartum to 9 weeks postpartum with either coconut oil (CTRL, n = 8), EFA (n = 9), or conjugated linoleic acid (CLA, n = 9), or a combination of both (EFA+CLA, n = 10). The study focused on the effects of FAs on peripheral tissues, such as longissimus muscle (MLD) and adipose tissues, which were harvested after slaughter. Fatty acid composition, muscle fiber and fat cell morphology, muscle fiber type transition, and gene expression were analyzed. Supplemented FAs and their metabolites were increased (p < 0.05) in MLD and intermuscular fat (INTF) but not in subcutaneous fat (SCF). The intramuscular fat content and gene expression of ACACA and FASN were increased in CLA-supplemented cows (p < 0.05). Supplementation did not affect the muscle fiber size and fiber type composition. Supplemented CLA had more effects than EFA, improving the energy balance of cows accompanied with increased triglyceride formation and storage. Full article
(This article belongs to the Section Farm Animal Production)
19 pages, 1053 KiB  
Article
Salivary Metabolites in Breast Cancer and Fibroadenomas: Focus on Menopausal Status and BMI
by Elena I. Dyachenko and Lyudmila V. Bel’skaya
Metabolites 2024, 14(10), 531; https://doi.org/10.3390/metabo14100531 - 30 Sep 2024
Abstract
This study of the features of the biochemical composition of biological fluids in patients with breast cancer, including saliva, allows us to identify some indicators as metabolic predictors of the presence of the disease. Objectives: to study the influence of the menopause factor [...] Read more.
This study of the features of the biochemical composition of biological fluids in patients with breast cancer, including saliva, allows us to identify some indicators as metabolic predictors of the presence of the disease. Objectives: to study the influence of the menopause factor and body mass index (BMI) on the biochemical composition of saliva and to evaluate the applicability of metabolic markers of saliva for the diagnosis of breast cancer. Methods: The case–control study involved 1438 people (breast cancer, n = 543; fibroadenomas, n = 597; control, n = 298). A comprehensive study of the biochemical composition of saliva was carried out using 36 parameters. Results: When comparing the salivary biochemical composition in breast cancer, fibroadenomas, and controls, it is necessary to take into account the menopausal status, as well as BMI (less than 25 or more) for the group of patients with preserved menstrual function. A complex of biochemical parameters has been identified that change in saliva during breast cancer, regardless of menopause and BMI (total protein, urea, uric acid, NO, α-amino acids, GGT), as well as specific parameters that must be taken into account when analyzing individual subgroups (imidazole compounds, LDH, catalase, α-amylase). During the study of a separate group of patients with leaf-shaped (phyllodes) tumors, we found similarities with breast cancer in the changes in some biochemical parameters that can be attributed to metabolites of malignant growth (protein, α-amino acids, calcium, NO, pyruvate, peroxidase, α-amylase). Conclusions: We demonstrated changes in a wide range of salivary biochemical parameters depending on the presence of fibroadenomas and breast cancer. From the point of view of clinical practice, this may be useful information for monitoring the condition of patients with fibroadenomas, which are difficult to unambiguously classify based on instrumental diagnostics alone. Full article
15 pages, 1236 KiB  
Article
Qualitative Traits and Antioxidant Properties of Blood Oranges Are Affected by the Genotype and the Climatic Conditions
by Giulia Modica, Pilar Legua, Stefano La Malfa, Alessandra Gentile and Alberto Continella
Foods 2024, 13(19), 3137; https://doi.org/10.3390/foods13193137 - 30 Sep 2024
Abstract
Blood oranges are increasingly cultivated worldwide as consumers become more aware of the health benefits of their nutraceutical properties and natural antioxidants, specifically polyphenols and anthocyanins. The amounts of these compounds in the fruit mostly depend on the cultivar, rootstock, maturity stage, and [...] Read more.
Blood oranges are increasingly cultivated worldwide as consumers become more aware of the health benefits of their nutraceutical properties and natural antioxidants, specifically polyphenols and anthocyanins. The amounts of these compounds in the fruit mostly depend on the cultivar, rootstock, maturity stage, and environmental conditions. This work focused on the study of the qualitative features of numerous blood orange cultivars grown in three different environments in Spain and Italy. The aim of the work was to investigate the accumulation of primary and secondary metabolites, including bioactive compounds, and to characterize fruit qualitative traits at the time of harvest. Simple sugars were identified and quantified by liquid chromatography and organic acids, polyphenols, and flavonoids by spectrophotometric analysis. The antioxidant potential of the juice was assessed by ABTS, DPPH, and FRAP assays. Cultivation area affected juice color, with Moro and T. Ippolito being the varieties with the highest pigmentation. The cultivation area also determined the pattern of primary and secondary metabolite accumulation in the Tarocco lines. Furthermore, the antioxidant potential was influenced by the diverse environments. Principal Component Analysis highlighted three clusters, two overlapping clusters for the varieties grown in the two Spanish plots and a third clearly separated cluster for the genotypes grown in Italy. This study provides novel knowledge on primary and secondary metabolite accumulation in blood oranges, elucidating the role of genotype and environmental conditions on fruit quality. Full article
12 pages, 810 KiB  
Article
Protective Effects of Wild Sulla coronaria (Fabaceae) Flowers Phytocomplex in Human Dermal Fibroblasts Stimulated with Interleukin-1β
by Giuseppe Antonio Malfa, Simone Bianchi, Vivienne Spadaro, Ekaterina Kozuharova, Pasquale Marino, Francesco Pappalardo, Claudia Di Giacomo and Rosaria Acquaviva
Plants 2024, 13(19), 2748; https://doi.org/10.3390/plants13192748 - 30 Sep 2024
Abstract
Sulla coronaria is indigenous to the Mediterranean region. It is grown as fodder in southern Italy because it contains various secondary metabolites with beneficial activities on animals. Recently, its potential use in cosmeceutical treatments for skin problems was reported. In this scenario, to [...] Read more.
Sulla coronaria is indigenous to the Mediterranean region. It is grown as fodder in southern Italy because it contains various secondary metabolites with beneficial activities on animals. Recently, its potential use in cosmeceutical treatments for skin problems was reported. In this scenario, to contribute to a possible cosmeceutical application, we characterized the phytochemical profile of Sulla coronaria flowers’ hydroalcoholic extract by HPLC-DAD, Folin-Ciocalteu, Aluminum Chloride methods, DPPH assay, and, for the first time, we evaluated the antioxidant and anti-inflammatory activities on dermal fibroblasts. The phytochemical analysis confirmed the significant content of phenolic compounds (TPC 69.8 ± 0.6 mg GAE/g extract, TFC 15.07 mg CE/g extract) and the remarkable presence of rutin, quercetin, and isorhamnetin derivatives that give to the phytocomplex a good antioxidant activity as highlighted by the DPPH assay (IC50 of 8.04 ± 0.5 µg/mL). Through the reduction in NO• and ROS levels in human dermal fibroblasts, the biological tests demonstrated both the safety of the extract and its ability to counteract the inflammatory state generated by Interleukin-1β exposure. Our findings indicate that the antioxidant activities of the phytocomplex are strictly related to the anti-inflammatory action of the Sulla coronaria flowers extract, confirming that this plant could be a valuable source of bioactive molecules for cosmeceutical and nutraceutical applications. Full article
22 pages, 2970 KiB  
Article
Applications of the Cholesterol Metabolite, 4β-Hydroxycholesterol, as a Sensitive Endogenous Biomarker for Hepatic CYP3A Activity Evaluated within a PBPK Framework
by Aneesh V. Karkhanis, Matthew D. Harwood, Felix Stader, Frederic Y. Bois and Sibylle Neuhoff
Pharmaceutics 2024, 16(10), 1284; https://doi.org/10.3390/pharmaceutics16101284 - 30 Sep 2024
Abstract
Background/Objectives: Plasma levels of 4β-hydroxycholesterol (4β-OHC), a CYP3A-specific metabolite of cholesterol, are elevated after administration of CYP3A inducers like rifampicin and carbamazepine. To simulate such plasma 4β-OHC increase, we developed a physiologically based pharmacokinetic (PBPK) model of cholesterol and 4β-OHC in the Simcyp [...] Read more.
Background/Objectives: Plasma levels of 4β-hydroxycholesterol (4β-OHC), a CYP3A-specific metabolite of cholesterol, are elevated after administration of CYP3A inducers like rifampicin and carbamazepine. To simulate such plasma 4β-OHC increase, we developed a physiologically based pharmacokinetic (PBPK) model of cholesterol and 4β-OHC in the Simcyp PBPK Simulator (Version 23, Certara UK Ltd.) using a middle-out approach. Methods: Relevant physicochemical properties and metabolic pathway data for CYP3A and CYP27A1 was incorporated in the model. Results: The PBPK model recovered the observed baseline plasma 4β-OHC levels in Caucasian, Japanese, and Korean populations. The model also captured the higher baseline 4β-OHC levels in females compared to males, indicative of sex-specific differences in CYP3A abundance. More importantly, the model recapitulated the increased 4β-OHC plasma levels after multiple-dose rifampicin treatment in six independent studies, indicative of hepatic CYP3A induction. The verified model also captured the altered 4β-OHC levels in CYP3A4/5 polymorphic populations and with other CYP3A inducers. The model is limited by scant data on relative contributions of CYP3A and CYP27A1 pathways and does not account for regulatory mechanisms that control plasma cholesterol and 4β-OHC levels. Conclusion: This study provides a quantitative fit-for-purpose and framed-for-future modelling framework for an endogenous biomarker to evaluate the DDI risk with hepatic CYP3A induction. Full article
(This article belongs to the Special Issue New Insights into Physiologically Based Pharmacokinetic Modeling)
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<p>Hepatic elimination routes of cholesterol and 4β-OHC. The schematic shows 4β-OHC is generated predominantly via CYP3A4 from hepatic cholesterol, while CYP3A5 and CYP3A7 play a minor role. Cholesterol is either synthesized de novo in the liver or derived from diet. Both cholesterol and 4β-OHC are also independently metabolized by CYP7A1 (classic) and CYP27A1 (alternative) pathways to their respective dihydroxy metabolites and eventually bile acids, which are then released via bile into the gallbladder. 7α-OHC: 7α-hydroxycholesterol; 27-OHC: 27-hydroxycholesterol; 4β, 7α-DiOHC: 4β, 7α-dihydroxycholesterol; 4β, 27-DiOHC: 4β, 27-dihydroxycholesterol.</p>
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<p>Workflow for cholesterol and 4β-OHC PBPK model development and verification. The model was initially developed using a bottom-up approach by incorporating physicochemical data and calculating CL<sub>iv</sub> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>f</mi> <mi>m</mi> </mrow> <mrow> <mi>C</mi> <mi>Y</mi> <mi>P</mi> <mn>3</mn> <mi>A</mi> </mrow> </msub> </mrow> </semantics></math> from Auley et al. [<a href="#B22-pharmaceutics-16-01284" class="html-bibr">22</a>]. However, this base model underpredicted the reported baseline 4β-OHC levels. The model was refined by optimizing CYP3A-specific intrinsic clearance of cholesterol as per the Kasichayanula et al. study [<a href="#B8-pharmaceutics-16-01284" class="html-bibr">8</a>]. The optimized model was verified with clinical studies where baseline 4β-OHC levels were reported in different ethnic populations and DDI studies with rifampicin as described in <a href="#app1-pharmaceutics-16-01284" class="html-app">Tables S3 and S4</a>, respectively. The verified model was further applied to prospectively assess its behaviour with respect to CYP3A4/3A5 polymorphisms, RA, and other CYP3A inducers. CLiv, intravenous clearance; DDI, drug–drug interaction; fm, fraction metabolized by specific enzyme; NA, North American; RA, rheumatoid arthritis.</p>
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<p>(<b>A</b>) Baseline plasma 4β-OHC levels in different ethnicities expressed as mean ± S.D. (<b>B</b>) and sex-specific 4β-OHC levels within ethnicities. Data was collated for meta-analysis with the number of total individuals analyzed mentioned in the parentheses. Our analysis showed negligible statistical difference in baseline 4β-OHC levels between ethnicities but consistently higher levels in females compared to males within each ethnicity. (<b>A</b>) Different ethnicities were compared using the ordinary one-way ANOVA with Tukey’s multiple comparison test. (<b>B</b>) Males and females within ethnicities were compared using an unpaired <span class="html-italic">t</span>-test with Welch’s correction. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001, ns = not significant.</p>
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<p>Predicted and observed (open circles) arithmetic mean plasma concentration–time profiles of (<b>A</b>) baseline 4β-OHC, (<b>B</b>) rifampicin-induced 4β-OHC, (<b>C</b>) baseline cholesterol, and (<b>D</b>) rifampicin-driven cholesterol levels. Simulations were performed with the following trial characteristics: 10 trials × 12 subjects, 20–50 years, a proportion of 5% females, multiple populations (North American Caucasian: North American African American: North American Asian; 0.56:0.41:0.03) with orally administered multiple doses of 600 mg q.d. rifampicin for 13 days [<a href="#B8-pharmaceutics-16-01284" class="html-bibr">8</a>]. The black lines represent the population mean plasma concentration–time profiles, the grey lines represent the predictions from individual trials, whereas the dashed lines represent the 5th and 95th percentiles of all simulated subjects’ values. Observed data is presented as mean ± S.D. values according to the Kasichayanula et al. study in 2014 [<a href="#B8-pharmaceutics-16-01284" class="html-bibr">8</a>].</p>
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<p>(<b>A</b>) Predicted and observed (filled circles) mean plasma baseline 4β-OHC levels (C<sub>ss</sub>) in different virtual populations depicted in different colours as follows: red—North American White; green—North European Caucasian; yellow—North American African American; violet—North American Asian; white—North American Latino; black—Korean; blue—Japanese. (<b>B</b>) Predicted and observed mean plasma baseline 4β-OHC levels (C<sub>ss</sub>) in males (red circles) and females (black circles). (<b>C</b>) Predicted and observed mean plasma concentration ratio (C<sub>ss</sub> ratio) of rifampicin-induced to baseline 4β-OHC levels (black circles) examined in six DDI studies. C<sub>ss</sub> and C<sub>ss</sub> ratios are shown with the solid line representing the Line of Unity, grey dashed lines indicating 1.25-fold, and black dashed lines showing a 2-fold deviation from the respective observed value; the red dashed lines mark the prediction success limits proposed by Guest et al. [<a href="#B33-pharmaceutics-16-01284" class="html-bibr">33</a>].</p>
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<p>Simulated and observed baseline 4β-OHC plasma concentration–time profiles (white dots) and rifampicin-induced 4β-OHC levels (black dots). The DDI studies simulated were (<b>A</b>) Dutreix et al., 2014 [<a href="#B41-pharmaceutics-16-01284" class="html-bibr">41</a>]; (<b>B</b>) Stoch et al., 2016 [<a href="#B42-pharmaceutics-16-01284" class="html-bibr">42</a>]; (<b>C</b>) Wiesinger et al., 2020 [<a href="#B43-pharmaceutics-16-01284" class="html-bibr">43</a>]; (<b>D</b>) Einholf et al., 2017 [<a href="#B41-pharmaceutics-16-01284" class="html-bibr">41</a>,<a href="#B44-pharmaceutics-16-01284" class="html-bibr">44</a>]; (<b>E</b>) Marschall et al., 2005 [<a href="#B45-pharmaceutics-16-01284" class="html-bibr">45</a>]; and (<b>F</b>) a baricitinib-rifampicin DDI [<a href="#B46-pharmaceutics-16-01284" class="html-bibr">46</a>]. Trial design for each simulation is described in <a href="#app1-pharmaceutics-16-01284" class="html-app">Table S4</a>. The dark lines represent the mean plasma concentration–time profiles, the grey lines represent the predictions from individual trials, whereas the dashed lines represent the 5th and 95th percentiles of all simulated subjects’ values.</p>
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<p>Model application: Predicted plasma 4β-OHC concentrations in (<b>A</b>) CYP3A4 polymorphic populations; (<b>B</b>) CYP3A5 polymorphic populations in North American (NA) Asian and African American populations; (<b>C</b>) healthy volunteer (HV), and rheumatoid arthritis (RA) populations; (<b>D</b>) the absence and presence of moderate CYP3A inducers in HV, and (<b>E</b>) the absence and presence of rifampicin in RA patients. The trial characteristics and the reference ethnic population are mentioned in <a href="#app1-pharmaceutics-16-01284" class="html-app">Tables S5 and S6</a>. Data is presented as a box and whisker plot showing minimum, lower quartile, median, upper quartile, and maximum 4β-OHC values. The length of the box refers to the interquartile range, and the whiskers end at the minimum and maximum values. The ‘+’ shows the mean 4β-OHC value. Different groups were compared using the ordinary one-way ANOVA with Tukey’s multiple comparison test (<b>A</b>,<b>B</b>,<b>D</b>,<b>E</b>) or unpaired <span class="html-italic">t</span>-test with Welch’s correction (<b>C</b>). *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001, ns = not significant.</p>
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26 pages, 1792 KiB  
Review
Plant Metabolomics: The Future of Anticancer Drug Discovery
by Ranin Dabbousy, Mohamad Rima, Rabih Roufayel, Mohamad Rahal, Christian Legros, Jean-Marc Sabatier and Ziad Fajloun
Pharmaceuticals 2024, 17(10), 1307; https://doi.org/10.3390/ph17101307 - 30 Sep 2024
Abstract
Drug development from medicinal plants constitutes an important strategy for finding natural anticancer therapies. While several plant secondary metabolites with potential antitumor activities have been identified, well-defined mechanisms of action remained uncovered. In fact, studies of medicinal plants have often focused on the [...] Read more.
Drug development from medicinal plants constitutes an important strategy for finding natural anticancer therapies. While several plant secondary metabolites with potential antitumor activities have been identified, well-defined mechanisms of action remained uncovered. In fact, studies of medicinal plants have often focused on the genome, transcriptome, and proteome, dismissing the relevance of the metabolome for discovering effective plant-based drugs. Metabolomics has gained huge interest in cancer research as it facilitates the identification of potential anticancer metabolites and uncovers the metabolomic alterations that occur in cancer cells in response to treatment. This holds great promise for investigating the mode of action of target metabolites. Although metabolomics has made significant contributions to drug discovery, research in this area is still ongoing. In this review, we emphasize the significance of plant metabolomics in anticancer research, which continues to be a potential technique for the development of anticancer drugs in spite of all the challenges encountered. As well, we provide insights into the essential elements required for performing effective metabolomics analyses. Full article
(This article belongs to the Special Issue Exploring Natural Products with Antioxidant and Anticancer Properties)
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<p>Structure of plant secondary metabolites identified by metabolomics studies reviewed in this paper. Anticancer activity exerted by these compounds is due to individual or synergistic effects. Compounds highlighted in blue are involved in anticancer synergistic effects. Compounds highlighted in pink are suggested to be related to anticancer activity of extract.</p>
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<p>Plant metabolomics in drug discovery: concept, process, and outcomes.</p>
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12 pages, 319 KiB  
Article
Bioavailability of Supplemented Free Oleanolic Acid and Cyclodextrin–Oleanolic Acid in Growing Pigs, and Effects on Growth Performance, Nutrient Digestibility and Plasma Metabolites
by Manuel Lachica, Isabel Borrás-Linares, Thays Helena Borges, Rosa Nieto, Isabel Seiquer, Consolación García-Contreras, Luis Lara, David Arráez-Román, Antonio Segura-Carretero, José María Pinilla, José Carlos Quintela and Ignacio Fernández-Fígares
Animals 2024, 14(19), 2826; https://doi.org/10.3390/ani14192826 - 30 Sep 2024
Abstract
Oleanolic acid (OLA) has beneficial health effects in animals, but in vivo efficacy in monogastric animals is questioned due to its low bioavailability. To gain further insight on the nutritional effects of OLA it was administered as part of a diet. We investigated [...] Read more.
Oleanolic acid (OLA) has beneficial health effects in animals, but in vivo efficacy in monogastric animals is questioned due to its low bioavailability. To gain further insight on the nutritional effects of OLA it was administered as part of a diet. We investigated digestibility and plasma OLA in pigs and the associated influence on growth, organs, digestibility of nutrients and plasma biochemical profile. Twenty-four crossbred barrows (23.7 ± 1.0 kg BW) were assigned one of three treatments: Control (basal diet without OLA), OLA-1 (basal diet with 260 mg/free OLA) and OLA-2 (basal diet with 260 mg/kg cyclodextrin-OLA). Diets included chromium oxide to estimate digestibility. Blood samples were collected on day 14 for OLA analysis and feces on days 22–24 for determining digestibility. Pigs were slaughtered on day 31 (39.9 ± 2.43 kg BW) and their blood collected for analysis. Growth and organ weights were not affected (p > 0.05). OLA-1 decreased apparent total tract digestibility (ATTD) of energy (p < 0.05). OLA-2 increased ATTD of dry and organic matter compared with Control pigs (p < 0.05). OLA-1 increased plasma calcium and alkaline phosphatase (p < 0.05). Ileal digestibility of OLA was not affected (0.88), although OLA ATTD increased in OLA-1 compared to Control pigs (0.75 vs. 0.82; p < 0.05). OLA-1 and OLA-2 increased plasma OLA compared to Control pigs (p < 0.05 and p = 0.083). In conclusion, although the OLA was digested and absorbed, plasma concentration was low (4.29 µg/L), and pig growth, organs and plasma parameters were not affected. Full article
(This article belongs to the Special Issue Novel Feed Additives and Feeding Systems in Pig Production)
34 pages, 8347 KiB  
Article
Lentil Waste Extracts for Inflammatory Bowel Disease (IBD) Symptoms Control: Anti-Inflammatory and Spasmolytic Effects
by Maria Antonietta Panaro, Roberta Budriesi, Rosa Calvello, Antonia Cianciulli, Laura Beatrice Mattioli, Ivan Corazza, Natalie Paola Rotondo, Chiara Porro, Antonella Lamonaca, Valeria Ferraro, Marilena Muraglia, Filomena Corbo, Maria Lisa Clodoveo, Linda Monaci, Maria Maddalena Cavalluzzi and Giovanni Lentini
Nutrients 2024, 16(19), 3327; https://doi.org/10.3390/nu16193327 - 30 Sep 2024
Abstract
Background/Objectives: In the contest of agro-industrial waste valorization, we focused our attention on lentil seed coats as a source of health-promoting phytochemicals possibly useful in managing inflammatory bowel diseases (IBDs), usually characterized by inflammation and altered intestinal motility. Methods: Both traditional (maceration) and [...] Read more.
Background/Objectives: In the contest of agro-industrial waste valorization, we focused our attention on lentil seed coats as a source of health-promoting phytochemicals possibly useful in managing inflammatory bowel diseases (IBDs), usually characterized by inflammation and altered intestinal motility. Methods: Both traditional (maceration) and innovative microwave-assisted extractions were performed using green solvents, and the anti-inflammatory and spasmolytic activities of the so-obtained extracts were determined through in vitro and ex vivo assays, respectively. Results: The extract obtained through the microwave-assisted procedure using ethyl acetate as the extraction solvent (BEVa) proved to be the most useful in inflammation and intestinal motility management. In LPS-activated Caco-2 cells, BEVa down-regulated TLR4 expression, reduced iNOS expression and the pro-inflammatory cytokine IL-1 production, and upregulated the anti-inflammatory cytokine IL-10 production, thus positively affecting cell inflammatory responses. Moreover, a significant decrease in the longitudinal and circular tones of the guinea pig ileum, with a reduction of transit speed and pain at the ileum level, together with reduced transit speed, pain, and muscular tone at the colon level, was observed with BEVa. HPLC separation combined with an Orbitrap-based high-resolution mass spectrometry (HRMS) technique indicated that 7% of all the identified metabolites were endowed with proven anti-inflammatory and antispasmodic activities, among which niacinamide, apocynin, and p-coumaric acid were the most abundant. Conclusions: Our results suggest that lentil hull extract consumption could contribute to overall intestinal health maintenance, with BEVa possibly representing a dietary supplementation and a promising approach to treating intestinal barrier dysfunction. Full article
(This article belongs to the Section Nutritional Immunology)
23 pages, 1368 KiB  
Article
Chromatographic Comparison of Commercially Available Columns for Liquid Chromatography in Polar Pesticide Detection and Quantification Using a Score-Based Methodology
by Emanuela Verdini, Tommaso Pacini, Serenella Orsini, Stefano Sdogati and Ivan Pecorelli
Foods 2024, 13(19), 3131; https://doi.org/10.3390/foods13193131 - 30 Sep 2024
Abstract
The detection and quantification of polar pesticides in liquid chromatography coupled with mass spectrometry present significant analytical challenges. This study compares the performance of three LC columns (Hypercarb™, Raptor Polar X™, and Anionic Polar Pesticide™) in separating and quantifying eleven polar pesticides in [...] Read more.
The detection and quantification of polar pesticides in liquid chromatography coupled with mass spectrometry present significant analytical challenges. This study compares the performance of three LC columns (Hypercarb™, Raptor Polar X™, and Anionic Polar Pesticide™) in separating and quantifying eleven polar pesticides in chicken eggs using a score-based methodology. Analytes include glyphosate, its metabolites, and other high-polarity pesticides like Ethephon, Glufosinate, and Fosetyl aluminum, included in the EU’s official control plan. Polar pesticides, characterized by high polarity and hydrophilicity, lead to analytical issues such as poor retention and unconventional peak shapes with traditional reversed-phase methods. Their weak interaction with hydrophobic stationary phases complicates separation, necessitating specific stationary phases to enhance retention and selectivity. This study evaluates these columns’ efficacy in complex matrices like chicken eggs and other food samples. Chromatographic separation was performed using a UPLC system coupled with a Q-TOF mass spectrometer; extraction and purification involved freeze-out, centrifugation, and filtration steps. The study highlights the critical role of column selection in achieving accurate and reliable separation and quantification of highly polar analytes in matrices of animal origin, offering in the meantime an easy-to-apply methodology of selection for the right determination of the best chromatographic column for different purposes. Full article
15 pages, 5703 KiB  
Article
Transcriptomic Approach Reveals Contrasting Patterns of Differential Gene Expression during Tannin Biodegredation by Aspergillus tubingensis in Liquid and Solid Cultures
by Xiaona Zeng, Jiabei Song, Shengqiu Tang, Xiaoying Dong, Sheng Chen, Jie Kong, Liyi Chen, Yajuan Li, Guanming Shao, Yung-Hou Wong and Qingmei Xie
Int. J. Mol. Sci. 2024, 25(19), 10547; https://doi.org/10.3390/ijms251910547 - 30 Sep 2024
Abstract
Tannins, one of the most common anti-nutritional factors in feed, can be effectively degraded by various enzymes secreted by Aspergillus tubingensis (A. tubingensis). The cultivation method of fungi significantly impacts gene expression, which influences the production of enzymes and metabolites. In [...] Read more.
Tannins, one of the most common anti-nutritional factors in feed, can be effectively degraded by various enzymes secreted by Aspergillus tubingensis (A. tubingensis). The cultivation method of fungi significantly impacts gene expression, which influences the production of enzymes and metabolites. In this study, we analyzed the tannin biodegredation efficiency and the transcriptomic responses of A. tubingensis in liquid and solid cultures with tannin added. The observed morphology of A. tubingensis resembled typical fungal hyphae of mycelium submerged and grown in liquid cultures, while mainly spore clusters were observed in solid cultures. Furthermore, the tannin biodegredation efficiency and protein secretion of A. tubingensis in liquid cultures were significantly higher than in solid cultures. Additionally, 54.6% of the 11,248 differentially expressed genes were upregulated in liquid cultures, including AtWU_03490 (encoding ABC multidrug transporter), AtWU_03807 (ribonuclease III), AtWU_10270 (peptidyl-tRNA hydrolase), and AtWU_00075 (arabinogalactan endo-1,4-beta-galactosidase). Functional and gene ontology enrichment analyses indicated upregulation in processes including oxidation reduction, drug metabolism, and monocarboxylic acid metabolism. Overall, this study provides insight into the transcriptomic response to tannin biodegradation by A. tubingensis in different cultures and reveals that liquid cultures induce greater transcriptomic variability compared to solid cultures. Full article
(This article belongs to the Section Molecular Informatics)
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<p>Growth morphology of <span class="html-italic">A. tubingensis</span> in different culture conditions. (<b>A</b>) The morphology of <span class="html-italic">A. tubingensis</span> grown in liquid cultures with tannin added. (<b>B</b>) The morphology of <span class="html-italic">A. tubingensis</span> grown in solid cultures with tannin added. The scale bar indicates 50 µm.</p>
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<p>The efficiency of tannin biodegredation and protein secretion by <span class="html-italic">A. tubingensis</span> in different culture conditions. (<b>A</b>) Final tannin concentration of <span class="html-italic">A. tubingensis</span> in different culture conditions. (<b>B</b>) The concentration of intracellular proteins secreted by <span class="html-italic">A. tubingensis</span> in liquid or solid cultures with or without tannin. (<b>C</b>) The concentration of extracellular proteins secreted by <span class="html-italic">A. tubingensis</span> in liquid or solid cultures with or without tannin. (<b>D</b>) The concentration of intracellular and extracellular proteins secreted by <span class="html-italic">A. tubingensis</span> in liquid or solid cultures with tannin. Liquid, <span class="html-italic">A. tubingensis</span> in liquid cultures. Solid, <span class="html-italic">A. tubingensis</span> in solid cultures. Liquid-control, non-<span class="html-italic">A. tubingensis</span> in liquid cultures. Solid-control, non-<span class="html-italic">A. tubingensis</span> in solid cultures. ns, <span class="html-italic">p</span> &gt; 0.05. **, <span class="html-italic">p</span> &lt; 0.01. ***, <span class="html-italic">p</span> &lt; 0.001, ****, <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Distribution of gene expression of <span class="html-italic">A. tubingensis</span> in different culture conditions. (<b>A</b>) Boxplot for all genes of <span class="html-italic">A. tubingensis</span> in liquid and solid cultures. Different colors indicate different culture conditions that were used in <span class="html-italic">A. tubingensis</span>. The black dots indicate outlier genes with extremely low or high expression values. (<b>B</b>) Correlation heatmap analysis of <span class="html-italic">A. tubingensis</span> in liquid and solid cultures. Color intensity is related to the numbers within them. Liquid, <span class="html-italic">A. tubingensis</span> in liquid cultures. Solid, <span class="html-italic">A. tubingensis</span> in solid cultures.</p>
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<p>Principal component analysis (PCA) of <span class="html-italic">A. tubingensis</span> in different culture conditions. PCA identified two clusters in the data separated along the second and third principal components. The percentages on each axis represent the percentages of variation explained by the principal components. PC1 and PC2 define 59.01% and 14.34% of the variance, respectively. The distance between the points reflects the variance in gene expression between them. Liquid, <span class="html-italic">A. tubingensis</span> in liquid cultures. Solid, <span class="html-italic">A. tubingensis</span> in solid cultures.</p>
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<p>Heatmap of DEGs for comparing <span class="html-italic">A. tubingensis</span> grown in liquid and solid cultures. Genes on the heatmap are organized by hierarchical clustering based on the similarity in expression patterns. Liquid, <span class="html-italic">A. tubingensis</span> in liquid cultures. Solid, <span class="html-italic">A. tubingensis</span> in solid cultures.</p>
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<p>DEGs and functional enrichment. (<b>A</b>) Volcano plot showing the top 20 DEGs between liquid and solid cultures. The volcano plots distribution of log fold change (x-axis) and the negative log (base 10) of the <span class="html-italic">p</span>-values (y-axis). The data points above the significance threshold (q &lt; 0.05, foldchange &gt; 2) are marked in red (upregulated genes) and green (downregulated genes). (<b>B</b>) The gene cnetplot network of <span class="html-italic">A. tubingensis</span> grown in liquid and solid cultures.</p>
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<p>Gene expression patterns of the selected four DEGs. Gene expression profile of the top four genes in <span class="html-italic">A. tubingensis</span> grown in liquid cultures compared with those in solid cultures. The y-axis shows the mRNA levels of gene expression. ns, <span class="html-italic">p</span> &gt; 0.05. ****, <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Transcriptional activation by FacB. (<b>A</b>) Locations of transcription factor binding sites on promoter regions of four differentially expressed genes were predicted by the MatInspector program. TIS, translational initiation site; 5′-UTR, 5′-untranslated region. (<b>B</b>) The dual-luciferase reporter assay confirmed the impact of FacB on promoter function. NC, negative group without transfected. FacB + pmir-GL0-03807, cells transfected with plasmid FacB and pmir-GL0-03807. pmir-GL0-03807, cells transfected with plasmid pmir-GL0-03807. *, <span class="html-italic">p</span> &lt; 0.05.</p>
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