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0.499422 | 5ae3ee9c1476442383d81fffaeffe3a7 | EPR effect. Enhanced permeability and retention effect, it refers to the fact that some molecules or particles of are more likely to aggregate in tumor tissue than in normal tissue. | PMC9592696 | fphar-13-961127-g004.jpg |
0.518973 | e6418b6e532346a5b516cf4c319ed19d | Formation of exosome and targeted process. In the genetically-modified donor cells, the biogenesis process of cell-derived exosomes is showed. Mature exosomes are released by the donor cells, transported by body fluids to reach the target cells, and interact with the target cells through specific targeting molecule. | PMC9592696 | fphar-13-961127-g005.jpg |
0.422383 | 09bcd82f6d434ac581a4650863d396ca | Image preprocessing. (A) CT image preprocessing of SPSN. (B) WSIs preprocessing. Notice: K =[X/224] × [Y/224]. | PMC9592699 | fnhum-16-1019564-g001.jpg |
0.37986 | cdd8fcd47b684466b3a2cab339dc521f | The overall architecture of the feature extraction model. (A) Training of the source network. (B) Training of the target network based on diverse branch block and feature extraction. | PMC9592699 | fnhum-16-1019564-g002.jpg |
0.465527 | 51e4242900e34623b0c64608389a1791 | The adaptive selection-based dual-source domain feature matching network for selective knowledge transfer. (A) Matching of the feature map between the source networks and the target network. (B) Matching of the feature map of the convolution layer between the source networks and the target network. | PMC9592699 | fnhum-16-1019564-g003.jpg |
0.485966 | da7c5b15327148968f8531f09bdce221 | The diverse branch block structure. | PMC9592699 | fnhum-16-1019564-g004.jpg |
0.454198 | b6fc3ec5fd3247bfafb0019932334c6d | Feature extraction process of a patient. | PMC9592699 | fnhum-16-1019564-g005.jpg |
0.466783 | 096b6cea0da44ea0bd20ce7bd39d8a32 | Ensemble classifier based on Sparse Bayes ELM. | PMC9592699 | fnhum-16-1019564-g006.jpg |
0.42283 | eeef6c50ad6c4e06b005c464c99443da | The ROC curves of the proposed method and traditional methods. (A) ROC of test cohort 1; (B) ROC of test cohort 2. | PMC9592699 | fnhum-16-1019564-g007.jpg |
0.493322 | 938050dc4a95401b8a3f4ae993604760 | The matching weights λm,n of convolutional layer pairs. (A) The matching weights λm,n of convolutional layer pairs of the source network based on ImageNet. (B) The matching weights λm,n of convolutional layer pairs of the source network based on lung WSIs. | PMC9592699 | fnhum-16-1019564-g008.jpg |
0.393078 | a0ce65063bb2489b9e6bc75b482b4625 | The ROC curves of the proposed method and transfer learning models based on different source domains. (A) ROC of test cohort 1; (B) ROC of test cohort 2. | PMC9592699 | fnhum-16-1019564-g009.jpg |
0.412253 | 74d77e28b9d64e538afa0d3aa6818e08 | The ROC curves of the proposed method and ablation experiments. (A) ROC of test cohort 1; (B) ROC of test cohort 2. | PMC9592699 | fnhum-16-1019564-g010.jpg |
0.386225 | 45f2d9f8e8e64e75b44d33708409dc21 | The positive rate of different viruses from 2017 to 2021. Farm level (A) and pig level (B). | PMC9592729 | fvets-09-960033-g0001.jpg |
0.399253 | 221f1b0e95c44040936d01d772b7c803 | The positive rate of different bacteria from 2017 to 2021. Farm level (A) and pig level (B). | PMC9592729 | fvets-09-960033-g0002.jpg |
0.416404 | e1950bf42a5342908ac0a517660d9bcc | The proportion of different serovars (serogroups) of S. suis
(A), G. parasuis
(B), and P. multocida
(C). S. suis (n = 351), G. parasuis (n = 232) and P. multocida (n = 135). | PMC9592729 | fvets-09-960033-g0003.jpg |
0.368774 | f10d4694f4534693b1ea7ebd1b2b801b | The seasonal prevalence characteristics of major pathogens. Viruses (A) and bacteria (B). Jan (n = 110), Feb (n = 61), Mar (n = 61), Apr (n = 137), May (n = 65), Jun (n = 127), Jul (n = 117), Aug (n = 108), Sep (n = 88), Oct (n = 127), Nov (n = 172), Dec (n = 134). | PMC9592729 | fvets-09-960033-g0004.jpg |
0.370521 | fb38ade00eb343c0843730acaf14187b | The proportion of pathogens among different stages (age). Piglets (n = 91), nursery pigs (n = 622), and fattening pigs (n = 594). | PMC9592729 | fvets-09-960033-g0005.jpg |
0.442775 | 5b10df8d523540958c6c0a8c346af4f0 | Protection of SA on small bowel inflammatory lesions induced by indomethacin in rats. Male SD rats at 180–200 g were treated with indomethacin (Indo, 7.5 mg kg−1) alone or with sanguinarine (SA, 0.33 mg kg−1, 1.0 mg kg−1, 3.3 mg kg−1, SA-L, SA-M and SA-H, respectively) or with berberine (Ber, 60 mg kg−1). Tissue sections of the jejunum and H&E (Hematoxylin and eosin) staining were prepared. (A) The body weight change of rats. (B) Gross damage of small intestine. (C) Jejunum intima macroscopy observations, showing mucosal lesions. (D) Colonic mucosal damage index (CMDI). (E) Representative images of jejunum histology (magnification at ×200). (F) Tissue damage index (TDI). Arrows indicate typical pathological changes. Data are presented as the mean ± SD (n = 9). #
p < 0.05 and ##
p < 0.01 vs., control (Ctrl). *p < 0.05 and **p < 0.01 vs. indomethacin (Indo). | PMC9593053 | fphar-13-960140-g001.jpg |
0.40589 | 22f53ae84206408a9e1f66bf1eec28ec | Protection of SA on mucosal barrier of jejunum in indomethacin-treated rats. Male SD rats were treated with indomethacin (Indo, 7.5 mg kg−1) alone or with sanguinarine (SA, 0.33 mg kg−1, 1.0 mg kg−1, 3.3 mg kg−1, SA-L, SA-M and SA-H, respectively) or with berberine (Ber, 60 mg kg−1).The jejunum tissue samples of SD rats were collected and prepared according to the requirements of the detection kit. Chemiluminescence was utilized to measure the levels of tissue lactate dehydrogenase (LDH) (A). Western blot was used to measure the expression of tight junction proteins zonula occludens-1 (ZO-1) and claudin-1 (B–D). The laser confocal immunofluorescence assay was used to detect the location and expression levels of ZO-1, and the small box represents the typical fluorescence area, which is enlarged and placed to the right of the whole fluorescence field (E,F). Data are presented as the mean ± SD (n = 3). #
p < 0.05 and ##
p < 0.01 vs. control (Ctrl). *p < 0.05 and **p < 0.01 vs. indomethacin (Indo). | PMC9593053 | fphar-13-960140-g002.jpg |
0.423329 | 71d3ffbb7511464ab332afc91d4d45c0 | Inhibition of SA on indomethacin-induced intestinal inflammatory response and oxidative stress in rats. Male SD rats were treated with indomethacin (Indo, 7.5 mg kg−1) alone or with sanguinarine (SA, 0.33 mg kg−1, 1.0 mg kg−1, 3.3 mg kg−1, SA-L, SA-M and SA-H, respectively) or with berberine (Ber, 60 mg kg−1). The jejunum tissue of SD rats was collected and the supernatant was homogenized. After the protein was balanced, it was detected by ELISA, and the serum was detected by oxidative stress index. (A) Inflammatory cytokines. TNF-α (left), IL-6 (middle), and IL-1β (right) were measured by ELISA. (B) Oxidative stress. Super Oxide Dismutase (SOD) and Malondialdehyde (MDA) were estimated using a colorimetric assay kit and a chemiluminescent assay kit, respectively. Data are presented as the mean ± SD (n = 6). #
p < 0.05 and ##
p < 0.01 vs. control (Ctrl). *p < 0.05 and **p < 0.01 vs. indomethacin (Indo). | PMC9593053 | fphar-13-960140-g003.jpg |
0.426708 | 568df0fe883f40a794381738ceffff48 | SA inhibited the NF-κB expression but increased Nrf2 and HO-1 expression in small intestinal mucosa of indomethacin-treated rats. Male SD rats were treated with indomethacin (Indo, 7.5 mg kg−1) alone or with sanguinarine (SA, 0.33 mg kg−1, 1.0 mg kg−1, 3.3 mg kg−1, SA-L, SA-M and SA-H, respectively) or with berberine (Ber, 60 mg kg−1). Protein was extracted from rat jejunum and tissue sections were prepared. (A–G) Protein levels of NF-KB p-p65, Keap-1, Nrf2, nucleus-Nrf2 and HO-1 evaluated by western blot with β-actin as an internal control. Data were calculated from at least three independent experiments. (H-K) Location and expressions of NF-kB p-p65 and Nrf2 in jejunum were detected by laser confocal immunofluorescence assay (magnification at ×200). NF-kB p-p65 and Nrf2 were labeled with FITC-red and FITC-green, respectively. The nuclei were stained with DAPI. The small box represents the typical fluorescence area, which is enlarged and placed to the right of the whole fluorescence field. Data are presented as the mean ± SD (n = 3). #
p < 0.05 and ##
p < 0.01 vs. control (Ctrl). *p < 0.05 and **p < 0.01 vs. indomethacin (Indo). | PMC9593053 | fphar-13-960140-g004.jpg |
0.428907 | 2925afb30c5d45b69f46b0a0f0e0872a | SA improved viability, permeability and barrier function of indomethacin-treated IEC-6 cells. IEC-6 cells were treated with indomethacin (Indo, 300 μmol L−1) and/or sanguinarine (SA, 0.25, 0.5, and 1.0 μmol L−1, SA-L, SA-M and SA-H, respectively) or with berberine (Ber, 30 mmol L−1), and cell viability was measured by CCK8 assay. (A) Viability of IEC-6 cells. Original pictures of IEC-6 cells (left, magnification at ×200); Protection of SA on indomethacin cytotoxicity (right). (B) LDH released from the IEC-6 cells, measured by chemiluminescence (n = 8). (C) Protein levels of ZO-1 estimated by western blot (n = 3). (D,E) Laser confocal immunofluorescent staining (n = 3). Left, images; Right, quantification. Data are presented as the mean ± SD. #
p < 0.05 and ##
p < 0.01 vs. control (Ctrl). *p < 0.05 and **p < 0.01 vs. indomethacin (Indo). | PMC9593053 | fphar-13-960140-g005.jpg |
0.486842 | 66e346e80255474690a9a2049ca35b73 | SA antagonized indomethacin-induced inflammatory and oxidative stress of IEC-6 cells. IEC-6 cells were treated with indomethacin (Indo, 300 μmol L−1) and/or sanguinarine (SA, 0.25, 0.5, and 1.0 μmol L−1, SA-L, SA-M and SA-H, respectively) or with berberine (Ber, 30 mmol L−1). (A) Inflammatory cytokines. TNF-α (left), IL-6 (middle), and IL-1β (right) were measured by ELISA (n = 8). (B) Oxidative stress. MDA and SOD were detected using a colorimetric assay kit and a chemiluminescent assay kit, respectively (n = 6). Data are presented as the mean ± SD. #
p < 0.05 and ##
p < 0.01 vs. control (Ctrl). *p < 0.05 and **p < 0.01 vs indomethacin (Indo). | PMC9593053 | fphar-13-960140-g006.jpg |
0.410227 | c2c27a7f5d9d4d80a51f9445c2f9ff81 | Binding of SA to Keap-1 to regulate the expression of Nrf2, p-p65, and HO-1 in indomethacin-treated IEC-6 cells. Molecular ligand docking was performed between SA and the KEAP1 using Gold 3.0. IEC-6 cells were treated with indomethacin (Indo, 300 μmol L−1) and/or sanguinarine (SA, 0.25, 0.5, and 1.0 μmol L−1, SA-L, SA-M and SA-H, respectively) or with berberine (Ber, 30 mmol L−1). Total cell protein and nuclear proteins of IEC-6 cells were extracted. (A) the structure of SA (left) and interaction of SA and Keap-1 (right). (B–G) Protein levels of Keap-1 increased, but decreased significantly in Ber and SA treatment groups. The expression of phosphorylated NF-kB p65 (p-p65), Nrf2 and HO-1 in IEC-6 cells, estimated by Western blot. (H–J) Expression of Nrf2 and p-p65 in IEC-6 cells shown by laser confocal immunofluorescence staining. Nrf2 and p-p65 were labeled with red and green FITC, respectively. The nuclei were stained with DAPI (magnification at ×200). Data are presented as the mean ± SD (n = 3). #
p < 0.05 and ##
p < 0.01 vs. control (Ctrl). *p < 0.05 and **p < 0.01 vs. indomethacin (Indo). | PMC9593053 | fphar-13-960140-g007.jpg |
0.459153 | a44d8093f3a847fba1346cbd59ce2ae2 | Regulation of SA on endonuclear expression and co-localization of Nrf2, p-p65 and CBP in IEC-6 and the effect of Nrf2 interference. IEC-6 cells were treated with indomethacin (Indo, 300 μmol L−1) and/or sanguinarine (SA, 0.25, 0.5, and 1.0 μmol L−1, SA-L, SA-M and SA-H, respectively) or with berberine (Ber, 30 mmol L−1). (A–C) Effects of SA on the expression of NRF-2, p-p65 and CBP in IEC-6. (D) Effects of different Nrf2 siRNAs on the Nrf2 levels of IEC-6 cells. IEC-6 cells were treated with 3 different Nrf2 siRNAs (50 nM), scrambled duplex (a blank control) or GAPDH siRNA (a positive control of RNA silencing). The expression of Nrf2 and GAPDH was measured by Western blot. (E–G) Effects of Nrf2 siRNA on the Nrf2 levels of IEC-6 cells at the present of indomethacin. (H,I) Effect of Nrf2 siRNA on location of Nrf2 and p-p65 in IEC-6 cells shown by laser confocal immunofluorescence staining. Nrf2 and p-p65 were labeled with green and red FITC, respectively. Nuclei were stained with DAPI. The upper right corner of the Merge diagram is the scatter plots of Nrf2 (green) and p-p65 (red), with the ordinate of Nrf2 and the abscis of p-p65. Data are presented as the mean ± SD (n = 3). #
p < 0.05 and ##
p < 0.01 vs. control (Ctrl). *p < 0.05 and **p < 0.01 vs. indomethacin (Indo). ▼
p < 0.05 and ▼▼
p < 0.01 vs. Indo+SA-H. | PMC9593053 | fphar-13-960140-g008.jpg |
0.434966 | 5744a6408e0344959b7b51e4c3a813a6 | Effects of Nrf2 silencing on the expression of ZO-1, levels of LDH, inflammatory factors, SOD activity and MDA content of IEC-6 cells induced by indomethacin. IEC-6 cells were treated with indomethacin (Indo, 300 μmol L−1) and/or sanguinarine (SA, 1.0 μmol L−1, SA-H) or with berberine (Ber, 30 mmol L−1). (A) Inflammatory cytokines. TNF-α (left), IL-6 (middle), and IL-1β (right) were measured by ELISA (n = 9). (B) Oxidative stress parameters of MDA and SOD were detected using a colorimetric assay kit and a chemiluminescent assay kit, respectively (n = 6). (C) Protein levels of ZO-1 evaluated by western blot (n = 3). (D) LDH released from the IEC-6 cells, measured by chemiluminescence (n = 8). Data are presented as the mean ± SD. #
p < 0.05 and ##
p < 0.01 vs. control (Ctrl). *p < 0.05 and **p < 0.01 vs. indomethacin (Indo). ▼
p < 0.05 and ▼▼
p < 0.01 vs. Indo+SA-H. | PMC9593053 | fphar-13-960140-g009.jpg |
0.458887 | ab67709a37464a6596b6759a312b8790 | Hypothetic model of SA protection from NSAIDs-indued inflammatory damage of small intestine through regulating the Nrf2/NF-KB pathways. Under the stimulation of NSAIDs and other inflammatory factors, the inflammatory pathway of NF-kB is activated in epithelial cells and intestinal tract. P65 (an active subunit of NF-KB) is phosphorylated and depolymerized from the inflammatory complex composed of p65, p50 and IκB-α. Then phosphorylated p65 (p-p65) enters the nucleus, binds with its target gene under the guidance of CBP, and induces the expression of inflammatory factors TNF-α, IL-6 and IL-1β, which activate the inflammatory response of IEC-6 cells and intestinal mucosa, leading to inflammatory lesions. SA binds to Keap-1, inhibits Keap-1 and increases cellular expression of Nrf2, which competes with p-p65 to bind to CBP in the nucleus, and then reduce the expression of TNF-α, IL-6 and IL-1β. On the other hand, the increased Nrf2/CBP complexes promote the expression of HO-1 (target gene of Nrf2), so as to counteract the effects of inflammatory factors TNF-α, IL-6 and IL-1β. | PMC9593053 | fphar-13-960140-g010.jpg |
0.414627 | fd41066c86fb4843a097fac439f3d8af | © gguy /Stock.Adobe.com | PMC9595497 | fx1_lrg.jpg |
0.412323 | 7a0bcf5160d941e588b1d8682a3c1b81 | Flowchart. Flowchart of the present work representing material, methods, obtained results and conclusions. WT: Wilms Tumor; NB: neuroblastoma; HB: hepatoblastoma; RMS: rhabdomyosarcoma; n: number; FFPE: formalin-fixed, paraffin-embedded; PCA: Principal Component Analysis; HGS: Hallmark Gene Sets; WGCNA: Weighted gene co-expression network analysis; HET: heterogeneity; ITH: intra-tumor heterogeneity; ME: module eigengenes. The figure was created with with https://BioRender.com. | PMC9596396 | 41598_2022_20536_Fig1_HTML.jpg |
0.435632 | 52588f5a32bf495b84c0dbd31f77c363 | Principal Component Analysis. The plot shows a Principal Component Analysis (PCA) made on the gene expression profiles of 79 samples (dots). The x- and y-axis represent the first two principal components, PC1 and PC2 respectively, which together explain about 31.6% of the total variance. In each panel samples for each histotype are highlighted by different colors (HB: red dots; NB: blue dots; RMS: purple dots; WT: green dots). Samples coming from the same case are encircled and stars represent their center, whereas big black dots represent the center of the histotype. Grey dots represent samples of the other histotypes. | PMC9596396 | 41598_2022_20536_Fig2_HTML.jpg |
0.348189 | 5e9d627d1430485390255264d5fdfabc | Weighted Gene Co-expression Network Analysis (WGCNA) Module Eigengenes (ME). The boxplots show ME scores (y-axis) across histotypes (x-axis) for modules obtained through a WGCNA. The genes included in all ME and the top functions are reported in Supplementary Table 6. HB: red; NB: blue; RMS: purple; WT: green. | PMC9596396 | 41598_2022_20536_Fig3_HTML.jpg |
0.431604 | b24c1ca71f4a478fa8f8a596775e6df3 | Study schema | PMC9596506 | 40258_2022_753_Fig1_HTML.jpg |
0.5236 | 225427ca4e2b40c58fbde1e1c43dc8c1 | Patient attrition. LTD long-term disability, Met metastatic, Non non-metastatic, STD short-term disability, WA work absence. 1Patient selection was from 1 Jan 2009–30 Jun 2020 for Employment eligibility and from 1 Jan 2009–31 Dec 2019 for Work-Loss eligibility | PMC9596506 | 40258_2022_753_Fig2_HTML.jpg |
0.37994 | 7ae155420e6940dfba8b9fa8078cb59f | Estimated cumulative proportion of patients experiencing reduction in work schedule. Reduction in work schedule reported among patients with Active Full Time or Active Part Time employment status in the month prior to the index date and ≥ 1 day of enrollment during months 1–3, 4–6, and 7–12. Met metastatic, Non non-metastatic | PMC9596506 | 40258_2022_753_Fig3_HTML.jpg |
0.432701 | c89c913f12da419b869de4bc01f6e2f4 | Proportion of patients claiming a work absence (WA), b short-term disability (STD), and c long-term disability (LTD) during varied periods of follow-up. *p value < 0.001 | PMC9596506 | 40258_2022_753_Fig4_HTML.jpg |
0.450285 | f4d040e1fb74491bbc9e6703c0c859be | Mean per-patient per-month (PPPM) days lost for a work absence (WA), b short-term disability (STD), and c long-term disability (LTD) among patients with > 1 day lost during varied periods of follow-up. *p value < 0.001, **p value < 0.05 | PMC9596506 | 40258_2022_753_Fig5_HTML.jpg |
0.48505 | b0d00b8bb98f4cbe8c833286869ba162 | Total mean number of days missing from work over the first 12 months after cancer diagnoses. LTD long-term disability, Met metastatic, Non non-metastatic, STD short-term disability, WA work absence | PMC9596506 | 40258_2022_753_Fig6_HTML.jpg |
0.425209 | 452c9886d7ef47fea0153478e7815b8e | Total mean indirect costs due to WA, STD, and LTD over the first 12 months after cancer diagnoses. LTD long-term disability, Met metastatic, Non non-metastatic, STD short-term disability, WA work absence. p < 0.001 for all metastases vs. non metastases comparisons. Total costs were estimated by summing costs due to WA, STD, and LTD. Low-rate industries wage rate = 68% of the national average rates; high-rate industries wage rate = 162% of the national average rates; full cost to employer was derived based on the national average wage rate with a multiplier of 1.28; full cost to employer for low/high-rate industries are based on low/high-rate industry wage rates with a multiplier of 1.28 | PMC9596506 | 40258_2022_753_Fig7_HTML.jpg |
0.452612 | b03f1819859d4c2582c8457db7ed03cc | Multi-level framework of teacher interventions influencing bullying-related role adoption while controlling for individual background and class composition | PMC9596519 | 10964_2022_1674_Fig1_HTML.jpg |
0.40116 | 901db1dcde9f49fda7f61eadfb88c5b7 | Approach to management of plumonary sarcoidosis. Reproduced with permission from the European Respiratory Society (ERS) clinical practice guidelines on the treatment of sarcoidosis (5). All rights reserved. | PMC9596775 | fmed-09-991783-g001.jpg |
0.466087 | a511b3afb5cc46c394ac57f932c09b80 | Global approach to treatment of sarcoidosis. | PMC9596775 | fmed-09-991783-g002.jpg |
0.410107 | 584973b5a6e6423c9c441b1dd805612c | Immunologic cascade resulting in sarcoid granuloma formation. | PMC9596775 | fmed-09-991783-g003.jpg |
0.453043 | b3f710a936734c7db17746c120653ed8 | Active, future, and recently concluded clinical trials in sarcoidosis in the past 5-years (2018–2022). | PMC9596775 | fmed-09-991783-g004.jpg |
0.396242 | 310e17c295114349a40016b668385885 | Flow chart of the study. | PMC9596975 | fendo-13-1010453-g001.jpg |
0.478758 | 4ab1614b0d1444c898aaef4e8c39b36e | Caffeine intake per week (mg/week) by sex (* p < 0.05). | PMC9598159 | behavsci-12-00386-g001.jpg |
0.407996 | 1f01ff7b30644e8cb82ef6df544253be | Caffeine intake per week (mg/week) by age groups (years) (* p < 0.05; ** p < 0.01). | PMC9598159 | behavsci-12-00386-g002.jpg |
0.374541 | f153844f4cad4cefa0fc7a1bebe74411 | Reasons for caffeine consumption in a Portuguese sample. | PMC9598159 | behavsci-12-00386-g003.jpg |
0.402044 | c7bfce20dc1847eebe73cfd2fb1535ad | Basic concepts and components of oxidative stress. (a) Oxidative stress depends on the imbalance between free radicals and antioxidant systems; (b) the effect of oxidative damage on bio-molecules of DNA, proteins, and lipids. Abbreviation: REDOX, oxidation-reduction; ROS, reactive oxygen species; RNS, reactive nitrogen species; •OH, hydroxyl radical; O2−•, superoxide anion radical; H2O2, hydrogen peroxide; HOO•, peroxyl; NO•, nitric oxide; •ONOO, peroxynitrite; DNA, deoxyribonucleic acid; SOD, superoxide dismutase; CAT, catalase; GSH-Px, glutathione peroxidase; HO-1, heme oxygenase 1; NRF2, nuclear factor erythroid 2-related factor 2; GSH, glutathione; CoQ10, coenzymeQ 10; AQP, aquaporin; NOS, nitric oxide synthase. | PMC9598550 | antioxidants-11-02020-g001.jpg |
0.478057 | 0013cf48341b4ee8b6ca868d9550f818 | The schematic diagram for the production of antioxidant peptides from nut proteins. Abbreviations: PEF, pulsed electric field; LC-MS/MS, liquid chromatography tandem mass spectrometry; MALDI-TOF, matrix-assisted laser desorption/ionization time of fight. | PMC9598550 | antioxidants-11-02020-g002.jpg |
0.390182 | 4d51c9f09ef3407399fe42a611f47498 | Characterization of antioxidant peptides from nut proteins. (a) The pie chart shows the proportions of the identified antioxidant peptides. The numbers on the pie chart indicate the number of each type of peptide. (b) Heat map of the frequency of amino acid residues occurring at the residues located from the first position (P1) to the tenth position (P10) of the N-terminus amino acid of the identified antioxidant peptides. | PMC9598550 | antioxidants-11-02020-g003.jpg |
0.442196 | 3ca2ef8287c3473d82d35a6da77c1e2d | IRAM plate showing bacterial isolates screened from Wadi El-Natrun’s Salt Lakes with different pigment production capabilities (A) and the phylogenetic tree showing the position of the selected halophilic bacterial isolate Virgibacillus halodenitrificans DASH- MN795630 (B). | PMC9598633 | biology-11-01407-g001.jpg |
0.429526 | be50cb179c024052bf914da15869c818 | Cultural and morphological characteristics of V. halodenitrificans DASH. (A) Pigmented IRAM broth after one week incubation, (B) Small round orange colonies on IRAM agar, (C) Cell morphology by SEM and (D) Cell morphology by TEM showing central ellipsoidal endospore. | PMC9598633 | biology-11-01407-g002.jpg |
0.453182 | bc052cfca81c405ba11f00ae46b0d514 | Physiological characteristics of V. halodenitrificans DASH during 9 days of incubation. (A,B) pH, (C,D) temperature and (E,F) different concentrations of NaCl. All values were expressed as mean ±SEM. This comparison considers significantly different at * p < 0.05, ** p < 0.005, *** p < 0.0005 and **** p < 0.0001, and NS (non-significant) as indicated by multiple comparisons Tukey post-hoc analysis of variance (ANOVA). | PMC9598633 | biology-11-01407-g003.jpg |
0.460786 | c5b77fca1ccc45879c0bb2594551ca63 | Three- dimensional surface plots (left panels) and two-dimensional contour plots (right panels) showing the interactive effects of independent significant variables on pigment productivity. | PMC9598633 | biology-11-01407-g004.jpg |
0.411307 | ecd97aa52c934b08b8513e28862fd4e2 | Verification experiment of halophilic carotenoids produced by V. halodenitrificans DASH. (A) Comparative analysis of carotenoids’ productivity and optical density under optimized and basal medium as a function of incubation time (7 days) with time interval (24 h). The average of three replica were carried out for each one. (B) Photographic image representing verification step. I-under basal unoptimized conditions, II-under predicted optimum conditions. | PMC9598633 | biology-11-01407-g005.jpg |
0.495178 | 00bcc707dd78470d8bc146c04dd66b7c | Stability of pigments under different conditions. (A,B) Effect of light and dark, (C,D) Effect of different temperatures, (E,F) Effect of different NaCl concentrations, (G,H) Effect of pH change. All histograms represent mean ±SEM of the data at 96 h of incubation. This comparison considers significantly different at * p < 0.05, ** p < 0.005, *** p < 0.0005. | PMC9598633 | biology-11-01407-g006.jpg |
0.459496 | 1fc2dcb90f984a678c7db30bdf01f134 | UV-Vis spectroscopy scanning of carotenoid pigments extracted from halophilic V. halodenitrificans DASH. | PMC9598633 | biology-11-01407-g007.jpg |
0.39299 | 6ba013ca207b45bbaf1f8aa9e052a039 | Structural characteristics of carotenoids extracted from halophilic V. halodenitrificans DASH. (A) Raman spectra of pigment signal and (B) FTIR profile. | PMC9598633 | biology-11-01407-g008.jpg |
0.488366 | 38f3386a1b6a4f4ab102fa08ad6f3403 | TLC plate (A) and LC mass spectral analysis of the pigment extracted from halophilic V. halodenitrificans DASH (B). For TLC, silica gel GF254 plate (Merck, Darmstadt, Germany); mobile phase: petroleum ether: acetone (80:20). For LC–MS, negative ionization scanning mode (350–600 Da) (a) negative (-ESI) and (b) positive ionization scanning mode (+ESI). | PMC9598633 | biology-11-01407-g009.jpg |
0.555429 | 953b4c11442c426187e3fbbe550edbd4 | Antibiofilm potency of haloalkaliphilic carotenoids extract and the significant inhibition of both biofilms at both examined concentrations, in comparison to chloramphenicol. The values were mean of three replicas ±SEM. This comparison considers significantly different at * p < 0.05. | PMC9598633 | biology-11-01407-g010.jpg |
0.378971 | cd35b17ec834483fa803dfb42c05f2a1 | Illustration of the facial emotion recognition task. Faces expressing emotions at different intensities (happy, surprise, disgust, angry, fear or sad) were successively presented for 500 ms on a computer screen preceded by a fixation cross (500 ms). | PMC9599086 | biomedicines-10-02397-g001.jpg |
0.454144 | dcd53a24627e43bf8e23e04e632d2e69 | Changes in mean correct recognition of facial emotion expression following active (panel A) or sham tDCS (panel B). The repeated-measures ANOVA on recognition accuracy (measured as the frequency of correct responses) revealed a trend toward significance for the emotion*session*group interaction (F(5,165) = 2.231; η2 = 0.062; p = 0.05). (A) significant overall facial emotion recognition (FER) improvement following active tDCS (ANOVA emotion*session, p = 0.04); (B) significant improvement of sad faces recognition after active tDCS (post hoc t-test with Holm’s *: p-value < 0.05); mean frequency of total correct responses emotion by emotion (±standard deviation) at baseline (black) and post-tDCS (grey). (C) no significant effect of sham tDCS on overall FER performance: (p = 0.08). (D) no significant effect of sham tDCS emotion by emotion. | PMC9599086 | biomedicines-10-02397-g002.jpg |
0.456988 | b788ea91d16f49b9848fdff33dc24cbf | Experimental design. X: non-exercise, O: exercise. | PMC9599854 | biomedicines-10-02529-g001.jpg |
0.462357 | 05d8d1756b4e41c49aa8b0c64cd1820b | The incremental intensity load applied to the resistant exercise. | PMC9599854 | biomedicines-10-02529-g002.jpg |
0.382053 | 69f385645be54aa29ed3ad4538ab61a3 | Effects of resistant exercise on (a) cognitive and (b) muscle function, and (c) correlation between cognitive and muscle functions. Values are means ± SD (n = 10~12). Mean values with the same superscript letter (a, b and c) are not significantly different (p < 0.05). *: multiply. | PMC9599854 | biomedicines-10-02529-g003.jpg |
0.478043 | b74866e00cf94d7d9be7305f5458d18b | Effects of resistant exercise on the hippocampus (dentate gyrus) morphology in sarcopenic obese mice. (a) hippocampus (X200), (b) hippocampus (X400), and (c) density of neurons. Six random sites were examined. The red arrows represented apoptosis, the green arrows represented vacuolation, and the yellow arrows represented the degradation of neuronal cells. Values are means ± SD (n = 3~4). Mean values with the same superscript letter (a and b) are not significantly different (p < 0.05). | PMC9599854 | biomedicines-10-02529-g004.jpg |
0.427782 | 74e19ad3d996487d9e2082af16479556 | Effects of resistant exercise on skeletal muscle. (a) cognitive function-related myokines and (b) energy metabolism in sarcopenic obese mice. Values are means ± SD (n = 5~6). Mean values with the same superscript letter (a, b and c) are not significantly different (p < 0.05). BDNF: brain-derived neurotrophic factor, Trk-B: tropomyosin receptor kinase B, PGC-1α: peroxisome proliferator-activated receptor-gamma coactivator 1-alpha, CTSB: cathepsin B, IL-6: interleukin-6, IGF-1: insulin-like growth factor 1, Akt: protein kinase B, ERK1/2: extracellular signal-regulated kinases 1/2. N.S.: no significance. | PMC9599854 | biomedicines-10-02529-g005.jpg |
0.432934 | 347ddcc3cec44cafbbb27f05564aef51 | Effects of resistant exercise on hippocampal (a) cognitive function-related myokines and (b) energy metabolism and (c) oxidative stress and inflammation in sarcopenic obese mice. Values are means ± SEM (n = 5~6). Mean values with the same superscript letter (a and b) are not significantly different (p < 0.05). BDNF: brain-derived neurotrophic factor, Trk-B: tropomyosin receptor kinase B, PGC-1α: peroxisome proliferator-activated receptor-gamma coactivator 1-alpha, CTSB: cathepsin B, IL-6: interleukin-6, IGF-1: insulin-like growth factor 1, Akt: protein kinase B, ERK1/2: extracellular signal-regulated kinases 1/2, 4HNE: 4-Hydroxynonenal, TNF-α: tumor necrosis factor-alpha, CRP: C-Reactive Protein. N.S.: no significance. | PMC9599854 | biomedicines-10-02529-g006.jpg |
0.43765 | 6d993d8989494c8a833a94284575addf | Effects of resistant exercise on plasma cognitive function-related myokines in sarcopenic obese mice. Values are means ± SD (n = 5~6). Mean values with the same superscript letter (a and b) are not significantly different (p < 0.05). BDNF: brain-derived neurotrophic factor, PGC-1α: peroxisome proliferator-activated receptor-gamma coactivator 1-alpha, CTSB: cathepsin B, IL-6: interleukin-6. N.S.: no significance. | PMC9599854 | biomedicines-10-02529-g007.jpg |
0.448844 | 467e85fe66654c0cbbbd0cf35d89fdcd | Potential effects of resistant exercise on cognitive and muscle function mediated by myokines in sarcopenic obesity. BBB: Brain Blood Barrier. | PMC9599854 | biomedicines-10-02529-g008.jpg |
0.473173 | 1edda9908d124aa095bf14205414f08e | Overall antibody concentration after different doses of the vaccine in cancer patients. | PMC9599995 | curroncol-29-00554-g001.jpg |
0.390279 | 5b92cd76a25543ac978e721d42d3dd60 | Changes of antibody concentration following first, second and third dose in several types of vaccines in cancer patients. | PMC9599995 | curroncol-29-00554-g002.jpg |
0.426645 | 718e1aa08e6d48b2ab79084d1cf8c8c1 | The upper green line of 6117.9 BAU/mL is the second highest antibody concentration prior to a known breakthrough infection (post 3rd dose, blood drawn 39 days prior to PCR confirmed infection). The lower orange line of 3675.6 BAU/mL is the average of antibody concentrations in eleven infections confirmed by PCR. The percentages shown in green represent the percentage of antibody concentration that is above 6117.9 BAU/mL per each dose of each vaccine type. The percentages shown in orange represent the percentage of antibody concentration that is above 3675.6 BAU/mL per each dose of each vaccine type. | PMC9599995 | curroncol-29-00554-g003.jpg |
0.455222 | ec8ff9d766ee425194eb55b98e917d15 | Comparison of Hematological and Solid Cancer Types on Antibody Production. | PMC9599995 | curroncol-29-00554-g004.jpg |
0.519926 | a6e36342f7744bafa7485cf754496077 | Comparing the survival curves for OS and RFS between the diabetes group and the no diabetes group of AC patients. | PMC9600143 | curroncol-29-00528-g001.jpg |
0.410802 | e61edb05cf6a4506a6b9994d2ff00778 | Subgroup survival analysis according to the tumor stage. | PMC9600143 | curroncol-29-00528-g002.jpg |
0.407973 | 0150a39745c2450fb85576f0ea98be82 | Schematic representation of smoking-induced signaling pathways in the vessel wall. (1) Cigarette smoke–induced oxidative (OX) stress was shown to activate the endothelium by induction of adhesion molecule expression (e.g., intracellular adhesion molecule, vascular cell adhesion molecule), as well as macrophages and platelets. Endothelial activation is characterized by the reduction of NO levels within the cells and resulting in the loss of function of smooth muscle cells (SMCs) in the vessel media. (2) In response to smoke exposure, endothelial cells are known to release inflammatory and proatherogenic cytokines. All of these processes lead to endothelial dysfunction. The direct physical effects of smoke compounds and produced ROS lead to endothelial cell loss by apoptosis or necrosis. (3) Besides endothelial cells, macrophages are activated by the expression of adhesion molecule receptors recognizing adhesion molecules on endothelial cells. (4) After adhesion and trans endothelial migration, macrophages take up oxidized lipids produced by oxidative modification through smoke-increased ROS production. The scavenger receptor-mediated uptake of lipids induces the formation of so-called foam cells within the aortic wall, and the subsequent death of foam cells induces the release of these lipids and the formation of lipid-rich aortic plaques. Similarly, it is postulated that smoking induces an increase in SMC proliferation and migration provoking intimal thickening and plaque formation. (5) The triggering of SMC death by necrosis is a further consequence of exposure to smoke that triggers inflammatory signals, as well as the release of intracellular proteolytic enzymes inducing the cleavage of extracellular matrix proteins. The destruction of extracellular matrix proteins is further enhanced by the increased expression of matrix metalloproteinases (MMPs) and the reduced expression of tissue inhibitors of MMPs (TIMPs). | PMC9600209 | cells-11-03190-g001.jpg |
0.439132 | 86f0bb2784c94cc5a0b78770e56a5ab7 | Summary of methodology. | PMC9600290 | cancers-14-05121-g001.jpg |
0.444347 | 37177f83c2bb413dbd98eda3c231f532 | Host–microbiota interaction and anti-tumor response. | PMC9600290 | cancers-14-05121-g002.jpg |
0.50185 | 9ddacc1e97414d69b3f78fc29a182b18 | Effect of fecal microbiota transplantation (FMT) from responders and non-responders of anti-PD-1 therapy in tumor-engrafted germ-free mice. | PMC9600290 | cancers-14-05121-g003.jpg |
0.410129 | af284fd7f0ee4b6cb3b2d008cfab15d3 | Exosomal PD-L1 correlates with tumor response and resistance to anti-PD1 therapy: (A) Tumor cell-derived extracellular vesicles cause immune suppression by the direct engagement of PD-1 on T cells (B) PD-L1/PD-1 interaction is blocked by the presence of anti-PD-1 monoclonal antibody (C) Tumor suppression: PD-L1 expression levels in exosomes are inversely related to the tumor’s response to immunotherapy. PD-L1 mRNA levels significantly declined from the start of treatment in patients with complete and partial responses to anti-PD-1therapy, characterized by low exosome release, T cell reactivation, and tumor shrinkage. (D) Tumor relapse: PD-L1 expression levels in exosomes are directly related with tumor resistance to immunotherapy. PD-L1 mRNA significantly increased in patients with a tumor relapse, characterized by increased exosome release, T-cell inhibition, and tumor growth. Downwards arrow—decreased, Upwards arrow—increased. | PMC9600290 | cancers-14-05121-g004.jpg |
0.426462 | ca57b27484d3495aba200f5965893098 | In healthy conditions, luminal epithelium is intact and fewer bEVs can pass transcellularly into the systemic circulation. In microbial dysbiosis, intestinal barrier dysfunction facilitates rapid transport of bEVs into the systemic circulation, induction of immune activation, and intervention in carcinogenesis/tumor progression. | PMC9600290 | cancers-14-05121-g005.jpg |
0.447735 | cb0538faa21648758303144391d4432c | Potential applications of bacterial extracellular vesicles. | PMC9600290 | cancers-14-05121-g006.jpg |
0.502319 | 0dd918e623f5466881d85d97d8c12403 | The selection process for the targeted cohort. (SIRS = systemic inflammatory response syndrome). | PMC9600599 | diagnostics-12-02498-g001.jpg |
0.421373 | b55a585ef44e437886bc27a3d7a8bf70 | Patient demographics and laboratory data were similar between the derivation and validation cohorts. The p value of each variable was 0.999. CKD = chronic kidney disease; COPD = chronic obstructive pulmonary disease; HIV = human immunodeficiency virus; TIA = transient ischemic accident. | PMC9600599 | diagnostics-12-02498-g002.jpg |
0.443494 | 7d2d2ca85ff245388222d6b764040e34 | The interaction of age and uncomplicated DM when other explanatory variables are based onreference groups. The equation of the logistic regression model is log(p/(1 − p)) = −5.12 + 0.024 × age + 1.615 × uncomplicated DM − 0.02 × age × uncomplicated DM. (DM = diabetes mellitus). | PMC9600599 | diagnostics-12-02498-g003.jpg |
0.463415 | 9c7936c8a0b74de6bca5ab16d95fb4e4 | ROC curve of each model. (ROC curve = receiver operating characteristic curve; AUC = area under the curve; SVM = support vector machine). | PMC9600599 | diagnostics-12-02498-g004.jpg |
0.45965 | bae8b715489b42db8821373bd87f2baf | Top 10 KEGG pathway analysis. (KEGG pathway analysis of the top 10 enrichment of the root of T. ramosissima under NaCl stress for 48 h and 168 h with exogenous potassium. The first and outer circles show the top 20 KEGG pathways enriched, while the scale outside the circle indicates the number of genes. Different colours represent different ontologies. Next, the KEGG pathway number in the background gene along with the Q value can be seen in the second circle. A darker colour indicates a lower Q value, and a lighter colour indicates a higher Q value. Longer bars indicate more genes. Dark colours indicate genes that are upregulated, and light colours indicate genes that are downregulated. Below is a display of the specific value. Last and inner circle: rich factor values for KEGG pathways (the number of differential genes in this pathway divided by all numbers); background grid lines (each grid represents 0.1)). | PMC9601537 | genes-13-01803-g001.jpg |
0.360994 | 39a6e9d0325146c1be1f458d09ba9d93 | Plant hormone signal transduction pathway. (Exogenous potassium was applied to the roots of T. ramosissima for 48 h and 168 h under NaCl stress, and the gene expression changes were annotated to signal transduction pathways associated with plant hormones. The black pixels indicate DEGs whose expression levels are down-regulated, and the red pixels indicate DEGs whose expression levels are up-regulated). | PMC9601537 | genes-13-01803-g002a.jpg |
0.432682 | 084ee5fe6e0d4a5bb24d88b54c648ba8 | Changes in the expression of key DEGs in the plant hormone signal transduction pathway. (The roots of T. ramosissima were exposed to exogenous potassium for 48 h and 168 h under NaCl stress, and the expression levels of 10 key candidate genes in the Plant hormone signal transduction pathway changed. Note: p ≥ 0.05 is not marked; 0.01 < p < 0.05 is marked as *; 0.001 < p < 0.01 is marked as **; p ≤ 0.001 is marked as ***). | PMC9601537 | genes-13-01803-g003.jpg |
0.443939 | 5c197c3d2d284168b37e29112cd1fc17 | Statistical chart of the expression number of key plant hormone genes in the roots of T. ramosissima by exogenous potassium application under NaCl stress. (The number of up-regulated and down-regulated changes of 56 plant hormone key genes found in the roots of T. ramosissima under NaCl stress for 48 h and 168 h with exogenous potassium). | PMC9601537 | genes-13-01803-g004.jpg |
0.488551 | f04f8be0e8e54b1c8bea9a80a964ae73 | Validation of DEGs by qRT-PCR. (7 DEGs were randomly selected for qRT-PCR validation, and the error bars were obtained from multiple replicates of qRT-PCR. Note: p ≥ 0.05 is not marked; 0.01 < p < 0.05 is marked as *; 0.001 < p < 0.01 is marked as **; p ≤ 0.001 is marked as ***; Blue color Numerical value has been shown on the left side of the Y axis; Red color: Numerical value has been shown on the right side of the Y axis). | PMC9601537 | genes-13-01803-g005a.jpg |
0.441041 | 608af88fc66446669077bf2641d2b0f4 | Distribution of the sequenced SNPs on all chromosomes. The y-axis represents chromosomes, and the x-axis represents the corresponding chromosomal position (Mb). Different colors of each 1-Mb genome block denote the number of SNPs. | PMC9601733 | genes-13-01848-g001.jpg |
0.512586 | a94e41d00e794383964362d2490f3843 | Distribution of the ROHs. (A) Length distribution of the ROHs. X-axis represents the length of the ROH (Mb) using a base-10 log scale. Y-axis represents the number of ROH for different ROH lengths. (B) Bars and the red dotted line represent the number of ROH and the ROH coverage, respectively, on each chromosome. | PMC9601733 | genes-13-01848-g002.jpg |
0.47783 | fa0513a526b44bbcb3997a206466fdd6 | Frequency of occurrences of each SNP within ROH regions among all individuals. (A) Horizontal red line represents the 20% threshold. Genes related to reproduction quality hare identified. (B) The plot represents the frequency distribution of SNPs within unique gene regions of Hu sheep. The X-axis represents three different candidate genes within the ROH island. The Y-axis represents the frequency of occurrences of each SNP within the gene annotation interval. | PMC9601733 | genes-13-01848-g003.jpg |
0.434752 | 04748fd24df74f8f95e1209515e1109f | Percentage of each type of high expressed emotion (EOI = emotional overinvolvement). | PMC9602413 | healthcare-10-01957-g001.jpg |
0.4818 | 783b75de9ea34cc88c03580ca5f19d76 | Methodology scheme of this review. | PMC9603407 | ijerph-19-13452-g001.jpg |
0.389934 | 3f200c7b4b794669a04d5217a2c6a43b | Microbial community composition at the phylum level. Jun, Aug, and Sep represent the sample collection months June, August, and September, respectively. Up and down indicate the sampling sites in the upstream and downstream subsections, respectively. | PMC9603554 | ijerph-19-13056-g001.jpg |
0.502133 | 549a2ec1738c4ea2bd136c97b5ed042a | The difference in microbial community composition in different months at the genus level. Bar plots showing differences in (a) genera with high relative abundance, (b) Pseudomonas, (c) Cyanobium_PCC-6307, and (d) CL500-29 marine group. Jun, Aug, and Sep represent the sample collection months June, August, and September, respectively. | PMC9603554 | ijerph-19-13056-g002.jpg |
0.411693 | 5d226858812a4a3dbcc79b91aea3aa55 | Principal coordinate analysis (PCoA) based on Bray–Curtis distances showing the distinct distribution patterns of samples in (a) June, August, and September, and (b) upstream and downstream sections. Analysis of similarities (ANOSIM) was used to test the significance of variations in community composition. | PMC9603554 | ijerph-19-13056-g003.jpg |
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