dedup-isc-ft-v107-score
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0.456922 |
7ebac8230fed4dbc808133533b5f59e9
|
miR-145-5p inhibition blocks the effects of CBR3-AS1 knockdown in CRC cells. (a) MTT assay showed the proliferation of CRC cells after transfection. (b) Flow cytometry analysis showed the apoptosis of CRC cells after transfection. (c) Transwell assay showed the migration and invasion of CRC cells after transfection. (d) Mammosphere formation assay showed the number of CRC cell mammospheres after transfection. (e) Western blot analysis showed the expression levels of CSC markers in CRC cells after transfection. ∗P < 0.05 vs. NC inhibitor-transfected cells.
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PMC9019443
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JO2022-2260211.004.jpg
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0.433944 |
61fee139f85f4381a9a9726da8e067cf
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CBR3-AS1 knockdown blocks OXA resistance in CRC cells. (a) MTT assay showed the chemosensitivity of OXA-resistant CRC cells and parental cells to OXA. (b) RT-qPCR analysis of CBR3-AS1 expression levels in OXA-resistant CRC cells and parental cells. (c) RT-qPCR analysis of miR-145-5p expression levels in OXA-resistant CRC cells and parental cells. (d, e) MTT assay showed the chemosensitivity of OXA-resistant CRC cells to OXA after transfection. ∗P < 0.05 vs. parental cells.
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PMC9019443
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JO2022-2260211.005.jpg
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0.544424 |
2a8294d59bc245a28511f78d86b20c3e
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Effect of fungal age and mycelium status on strain D-1 protoplast preparation (**p < 0.01).
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PMC9019751
|
fmicb-13-769008-g001.jpg
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0.464742 |
72e8eee07f4640b5b407a9f85d06c406
|
Microscopic view of strain D-1 protoplasts (×400). (A) Bright field. (B) Fluorescence field.
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PMC9019751
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fmicb-13-769008-g002.jpg
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0.462687 |
e003b278020b4d47b5567a0c87dbbc29
|
Production of strain D-1protoplasts in different osmotic stabilizers (**p < 0.01).
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PMC9019751
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fmicb-13-769008-g003.jpg
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0.545195 |
87889c9252d34cd5b117d792a3bf3ce0
|
Optimization of preparation conditions of strain D-1 protoplasts. (A) NaCl concentration. (B) Enzyme combination. (C) Enzymatic hydrolysis time. (D) Enzymatic hydrolysis temperature (**p < 0.01; *p < 0.05).
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PMC9019751
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fmicb-13-769008-g004.jpg
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0.423508 |
abfb942ecd244da6b56d273e195c6de2
|
The process of protoplasts releasing (A) and morphology (B) of strain D-1.
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PMC9019751
|
fmicb-13-769008-g005.jpg
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0.420838 |
6ce1b84d8ce8461a94844774fa1662b0
|
Effect of strain D-1 protoplast regeneration in different regeneration media.
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PMC9019751
|
fmicb-13-769008-g006.jpg
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0.519598 |
66eceeb087564ce8a388470822755687
|
The wet weight of regeneration mycelium and protoplast regeneration rate of strain D-1 (*p < 0.05).
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PMC9019751
|
fmicb-13-769008-g007.jpg
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0.494578 |
f74d6ebb73174c18a75f1d63c67dc9f2
|
Strain D-1 was grown on PDA medium. (A) Wild-type (WT) strain in medium containing hygromycin B (HmB). (B) Transformant in medium not containing HmB. (C) Transformant in medium containing HmB.
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PMC9019751
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fmicb-13-769008-g008.jpg
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0.46607 |
0463af1714c84602bce8ac8994a0c82e
|
Identification of strain D-1 transformants. (A) Transformation strategy. (B) Identification of transformants (M, marker; WT, wild-type strain; T1, transformant 1; and T2, transformant 2).
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PMC9019751
|
fmicb-13-769008-g009.jpg
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0.42485 |
9e388aedddb5447cbbd1b841ff04ef6c
|
The chemical structure of aconitine.
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PMC9020262
|
fvets-09-874660-g0001.jpg
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0.430766 |
28361af17ec84a3d8cef3fef94d78f6b
|
Body weight assessment with no mark in the same row differ insignificantly (p > 0.05); while with “*” differ significantly (p < 0.05).
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PMC9020262
|
fvets-09-874660-g0002.jpg
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0.386588 |
b8e9403b99f04df094a14a546eac81f3
|
Histopathological alterations in the brain. (A–D) Represent changes in the cerebrum of control group, low-dose group, middle-dose group, high-dose group (×400); (E–H) represent changes in the cerebellum of control group, low-dose group, middle-dose group, high-dose group (×400). The black arrow masks edema and slight neuronophagia (B–D), vacuolization of purkinje cells (F–H).
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PMC9020262
|
fvets-09-874660-g0003.jpg
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0.433074 |
a2a20490c8e540d5893710ca429497df
|
Histopathological effects on heart and lungs. (A–D) Represent changes in the heart of control group, low-dose group, middle-dose group, high-dose group (×400); (E–H) represent changes in the lungs of control group, low-dose group, middle-dose group, high-dose group (×400). The black arrow masks swelling and necrosis and fracture of the myocardial fibers (C,D), congestion and hemorrhage and inflammatory cell infiltration of the alveolar spaces (F–H).
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PMC9020262
|
fvets-09-874660-g0004.jpg
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0.435287 |
3f5306e5e79944baa7ccd44a99ddb752
|
Histopathological examination of liver, spleen and kidneys. (A–D) Represent changes in the liver of control group, low-dose group, middle-dose group, high-dose group (×400); (E–H) represent changes in the spleen of control group, low-dose group, middle-dose group, high-dose group (×400). (I–L) Represent changes in the kidneys of control group, low-dose group, middle-dose group, high-dose group (×400). The black arrow masks the disorganized hepatic cord and cytoplasm vacuolization (B–D), varying the number of megakaryocytes (F–H), Interstitial hyperemia and hemorrhage, flocular degeneration of renal tubular epithelial cells (J–L).
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PMC9020262
|
fvets-09-874660-g0005.jpg
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0.440187 |
0015e93226d848bda8263c4596d74b48
|
Summary of Study Findings
|
PMC9021086
|
10803_2021_5102_Fig1_HTML.jpg
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0.539733 |
3a2f0356663d4f208d7b64cd83a97d8b
|
Experimental design.787 healthy volunteers were recruited to participate in the ORIGINS project. Each participant underwent an extensive periodontal examination, metabolic assessment, and completed standard questionnaires assessing demographic and risk factor information. Subgingival plaque samples were collected from teeth with periodontal pockets <4 mm depth (healthy) and teeth with periodontal pockets ≥ 4 mm depth (diseased) where applicable. In parallel, unstimulated saliva were collected and processed for a subset of individuals. In total, 16 S rRNA gene amplicon sequencing data from 1107 subgingival plaque samples and 282 saliva samples was generated for analysis.
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PMC9021254
|
41522_2022_289_Fig1_HTML.jpg
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0.440713 |
14830f68709845d29e472810f14f2b94
|
Beta-diversity and redundancy analysis in subgingival plaque.A RPCA colored by periodontal pocket depth. Permanova pseudo-F statistic = 397.062, p-value < 0.001. B RPCA distance among pairwise samples; Subgingival plaque samples from shallow periodontal pockets of different people (n = 308,505 pairs), subgingival plaque samples from deep periodontal pockets samples of different people (n = 54,285 pairs), subgingival plaque samples from shallow versus deep periodontal pockets from the same person (n = 322 pairs), subgingival plaque samples from shallow versus deep periodontal pockets from different people (n = 259,058 pairs). Each group is significantly different from all other groups (one-way ANOVA with Tukey’s multiple corrections, p < 0.05). The box shows the quartiles of the dataset while the whiskers extend to show the rest of the distribution, except for points that are determined to be “outliers” using a method that is a function of the inter-quartile range. C Redundancy analysis (RDA) estimates the percent microbial diversity explained by each variable. Inset donut chart sums effect sizes by category; periodontal variables explained the majority of microbial variation (20.0%), followed by demographic variables (1.7%) and metabolic variables (0.6%). D Empress plot displaying ASV-level phylogeny with branches colored by phylum. Outer bar plot represents songbird differentials on a color scale where high values (blue color) are taxa associated with health, and low values (red color) are associated with disease. Inner bar plot highlights features from the genera Corynebacterium (blue) and Treponema (red), which have high and low Songbird differentials, respectively.
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PMC9021254
|
41522_2022_289_Fig2_HTML.jpg
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0.403357 |
d0b5d05dbbed43cb98eec0857d362eb1
|
The ratio of Treponema: Corynebacterium is an early microbial indicator of periodontal disease (MIP) in subgingival plaque.A Differential ranking with Songbird revealed that Treponema sequences in subgingival plaque were associated with deep periodontal pockets, whereas Corynebacterium sequences were associated with shallow periodontal pockets. B The log-ratio of Treponema:Corynebacterium significantly distinguishes shallow (H = healthy sites) from deep (D = diseased sites) periodontal pockets and is used as a Microbial Indicator of Periodontal Disease (MIP). The box shows the quartiles of the dataset while the whiskers extend to show the rest of the distribution, except for points that are determined to be “outliers” using a method that is a function of the inter-quartile range. C ROC curve displaying the accuracy of a Random Forest classifier trained on the full dataset (blue) versus trained only on Treponema and Corynebacterium sequences and log-ratio (green) shows similar accuracy at predicting shallow versus deep periodontal pocket depth. D In plaque collected from shallow (healthy) subgingival pockets (n = 779), MIP was positively correlated with the percent of sites bleeding on probing (Pearson correlation = 0.243, p-value = 8.06e−12), indicating that microbial changes occur in plaque before clinically meaningful pocketing.
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PMC9021254
|
41522_2022_289_Fig3_HTML.jpg
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0.439293 |
1ce04e10bd764c77812f0622d0020855
|
Plaque and saliva are compositionally distinct but have correlated MIP.A Beta-diversity analysis with RPCA shows distinct clustering of saliva vs. subgingival plaque samples (PERMANOVA < 0.001). B Venn diagram of 16 S rRNA gene amplicon sequencing data collapsed to the species level shows a majority of microbial species were identified in both saliva and subgingival plaque, and that subgingival plaque was more diverse. C Redundancy analysis (RDA) estimates the percent microbial diversity explained by each variable. Inset donut chart sums effect sizes by category; unlike subgingival plaque, saliva microbial diversity is driven by lifestyle or demographic variables and is not significantly explained by metabolic or periodontal measures. D Microbial indicator of periodontal disease (MIP) was significantly correlated between subgingival plaque and saliva samples, despite having been processed at different institutes with different sequencing parameters and being related to different variables (Pearson R = 0.387, p-value = 3.97E-11).
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PMC9021254
|
41522_2022_289_Fig4_HTML.jpg
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0.455591 |
8d13d4122d514850b86930354d4161c8
|
Gross and microscopic lung pathology observed in the Salmonella/PRRSV synergy trial. Shown are representative macroscopic (top row) and hematoxylin and eosin (H&E)-stained microscopic (second and third rows) images of lungs harvested at necropsy from the pigs enrolled in the synergy trial that were inoculated with either PRRSV (A), S. Choleraesuis (B), or both S. Choleraesuis and PRRSV (C). In the third row, black circles indicate the locations of neutrophils.
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PMC9022502
|
iai.00574-21-f001.jpg
|
0.458734 |
213074ec545c457eaa82d87171290b07
|
Extent of gross lung pathology and lung consolidation. Groups of weaner pigs were fed for 21 days study with a standard balanced soybean/corn swine phase 2 nursery diet, supplemented (filled circles) or not (empty circles) with direct-fed microbial (DFM). Afterwards, pigs were challenged with Salmonella enterica serotype Choleraesuis, followed 3 days later with an intranasal challenge with either PRRSV (red circles) or a mock inoculum (blue circles), while continuing to be provided the same respective diet. The control group was mock challenged and fed a nonsupplemented diet (black circles). (A) Gross lung lesion score is given as an estimate of the percentage of lung with grossly visible pneumonia. (B) Extent of lung consolidation is given as an estimate of the percentage of lung exhibiting hepatization as determined tactilely by tissue firmness. Each symbol represents the score given to each lung grouped by treatment. Each treatment group is identified by its corresponding abbreviation: non-DFM treated and mock challenged (NMM), non-DFM treated and challenged only with Salmonella (NSM), DFM treated and challenged only with Salmonella (DSM), non-DFM treated and challenged with both Salmonella and PRRSV (NSP), and DFM treated and challenged with both Salmonella and PRRSV (DSP). Horizontal bars represent the mean ± SD of each group. In panel A, differences between groups were analyzed using one-way ANOVA, followed by Tukey’s multiple comparisons. In panel B, differences between groups NSP and DSP were analyzed using Mann-Whitney t test. Differences were considered significant if the P value was <0.05. *, P < 0.05; **, P < 0.01; ***, P < 0.001.
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PMC9022502
|
iai.00574-21-f002.jpg
|
0.420264 |
76ea2d63e6e34503914970a8b24f33b6
|
Extent and frequency of Salmonella colonization of the ileocolic lymph node and lung. Weaner pigs were fed for 21 days with a standard nursery diet supplemented with DFM (filled circles) or without supplementation (empty circles). Afterwards, the pigs were challenged via gavage with Salmonella enterica serotype Choleraesuis, followed 3 days later with an intranasal challenge with either PRRSV (red circles) or a mock inoculum (blue circles). A control group of animals (n = 4) which were fed a nonsupplemented diet served as the strict control (black circles). Each symbol represents the number of Salmonella CFU per gram of tissue per pig grouped by treatment, and each group is identified by its corresponding abbreviation as listed for Fig. 2. The graph shows the mean and 95% confidence limits for each group, and, at the top, the corresponding frequency (%) of Salmonella-positive ileocecal lymph nodes (A) or lungs (B). Differences between groups in the frequency of Salmonella-positive ileocecal lymph nodes were analyzed using Barnard’s exact test. Differences were considered significant if the P value was ≤0.05. *, P < 0.05; **, P < 0.01.
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PMC9022502
|
iai.00574-21-f003.jpg
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0.43434 |
3685563e477c490786123c47946a6f95
|
Extent and frequency of viremia and virus load in the lung. The amount of infectious virus in serum (A) and bronchoalveolar lavage (BAL) fluid (B) samples collected at the time of necropsy was determined. The titer of infectious virus is expressed as 50% tissue culture infectious dose (TCID50). Each symbol represents sample results from a single pig grouped according to their treatment, and each group is identified by its corresponding abbreviation as listed for Fig. 2. Horizontal bars represent the mean ± SE for each group. Statistically significant difference between the identically challenged groups was determined using the Mann-Whitney test. A P value of ≤0.05 was considered significant. *, P < 0.05.
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PMC9022502
|
iai.00574-21-f004.jpg
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0.484819 |
9b84919d40694485b78b8b8375b60eb8
|
Changes in immune-related gene expression in whole blood. Changes in the extent of gene expression in blood collected at the time of necropsy were determined using real-time reverse transcription-PCR, using the comparative cycle threshold (CT) method and the formula 2−ΔΔCT (76), where the GAPDH gene was used as the reference housekeeping gene. All values are expressed as fold change relative to control. Each symbol represents sample results from a single pig grouped according to their treatment, and each group is identified by its corresponding abbreviation as listed for Fig. 2. The graphs show the mean and 95% confidence limits for each group. The effect of DFM supplementation between identically challenged groups was analyzed by unpaired t test using data normalized by log2 transformation. A P value of <0.05 was considered significant. *, P < 0.05; **, P < 0.01.
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PMC9022502
|
iai.00574-21-f005.jpg
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0.438356 |
ea1bb67b9ee744948459d85cfe0871cd
|
Proinflammatory (IL-1, IL-6, IL-8, and TNF-α) and immunoregulatory (IFN-α, IL-4, IL-10, and IL-12) cytokines in BAL fluid. Bronchoalveolar lavage was performed in the lungs harvested from animals at the time of necropsy. Cytokine levels in BAL fluid were measured using a porcine cytokine bead array. Each symbol represents sample results from a single pig grouped according to their treatment, and each treatment group is identified by its corresponding abbreviation as listed for Fig. 2. Horizontal bars represent the mean ± SE for each group. The level of cytokine measured was adjusted to the total amount of protein present in the sample and is reported as picogram of cytokine per 1 mg/mL of protein. Cytokine levels were compared between the identically challenged DFM treated and nontreated groups using a one-tailed Mann-Whitney test with log2 transformation.
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PMC9022502
|
iai.00574-21-f006.jpg
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0.503026 |
0ac8c23736f24f5c94427ecef298b46f
|
Characterization of interactions according to the Sustainable Development Goals Synergies approach, following the Weimer-Jehle seven-point scale [30] (Stockholm, Sweden. 2022).
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PMC9022597
|
phrs-43-1604350-g001.jpg
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0.44597 |
2a2ff8e9cad84783a6ecb84cd1b5dbd6
|
Overview of the Sustainable Development Goals Synergies approach and potential benefits to policy makers (Stockholm, Sweden. 2022).
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PMC9022597
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phrs-43-1604350-g002.jpg
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0.441426 |
92ddc730e3ee4e1b8c331bd4fcf657a8
|
Generic flowchart of study procedures corresponding to ASCAPE-based follow-up strategy.
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PMC9022843
|
pone.0265127.g001.jpg
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0.395806 |
d7f6123f6deb4920817e69af3ba311c2
|
Fourier transformation.Comparison between the distortion component obtained in real space (navy) and the Fourier transform of the distortion component obtained in reciprocal space (pink).
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PMC9023516
|
41467_2022_29849_Fig10_HTML.jpg
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0.404792 |
e18c0d261b6d494eb57b1e343833f9ea
|
Distortion components and structural chemistry.a Illustrative A–X bond of length r. b The A–X bond following a structural distortion which increases its length by δr. c PDFs tracking the A–X bond between its original (orange) and distorted (black) state. d The first (blue) and second (pink) principal components. The latter acts as a signature of the distortion that occurred to the A–X bond. The x-axis scale is the same in (c) and (d). Structure of (e) oxo-centred trimer unit and (f) tetrahedral assembly. FeO6 octahedra (grey), O (red), C (grey) and H omitted for clarity.
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PMC9023516
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41467_2022_29849_Fig1_HTML.jpg
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0.42836 |
b558aaf44bbe42e294e2d05379ebe465
|
Structural characterisation.a Diagram relating the four materials of interest. b Powder X-ray diffraction data for MIL-100 (navy), Fe-BTC (orange), amMIL-100 (turquoise) and amFe-BTC (purple). Inset shows both amorphous materials. Data for MIL-100, Fe-BTC and amMIL-100 reproduced from Refs. 13,35. Data offset for clarity.
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PMC9023516
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41467_2022_29849_Fig2_HTML.jpg
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0.436394 |
b393859175444de2a0f09e144c434fd9
|
Reciprocal and real space structure.a X-ray total scattering for MIL-100 (navy), Fe-BTC (orange), amMIL-100 (turquoise) and amFe-BTC (purple). MIL-100 offset for clarity. Inset highlights amMIL-100 and amFe-BTC. b Comparison of the low-Q structure factor data. c X-ray pair distribution functions for MIL-100 (navy), Fe-BTC (orange), amMIL-100 (turquoise) and amFe-BTC (purple). The light grey region highlights peaks largely originating from the trimer unit and dark grey those from the tetrahedral assemblies. Data for MIL-100, Fe-BTC and amMIL-100 from Refs. 13,35.
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PMC9023516
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41467_2022_29849_Fig3_HTML.jpg
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0.390403 |
db590f66c01f439381c4355138559751
|
Fingerprinting disorder.a Experimental PDFs for MIL-100 (navy) and Fe-BTC (orange), and the corresponding (b) first and (c) second principal components extracted through PCA, which describe atom–atom correlations and a structural distortion, respectively. d Experimental PDFs for amMIL-100 (turquoise) and amFe-BTC (purple), and the corresponding (e) first and (f) second principal components extracted through PCA, which describe atom–atom correlations and a structural distortion, respectively. The inset in (f) represents the relative magnitudes of the distortion between MIL-100 and Fe-BTC (filled) and amMIL-100 and amFe-BTC (empty).
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PMC9023516
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41467_2022_29849_Fig4_HTML.jpg
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0.424628 |
2f3315313f6343c18eb16a37dcf97236
|
Structural collapse.a Experimental ex situ PDFs following the collapse of MIL-100 over 30 minutes, the corresponding (b) first and (c) second principal components extracted through PCA, which describe atom–atom correlations and a structural distortion, respectively. d Experimental ex situ PDFs following the collapse of Fe-BTC over 30 min, the corresponding (e) first and (f) second principal components which describe atom–atom correlations and a structural distortion, respectively.
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PMC9023516
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41467_2022_29849_Fig5_HTML.jpg
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0.434143 |
e03b3b1240064c9381f62e5539059634
|
Kinetic insight.a Comparison of the second principal components (distortions) obtained from the structural collapse of MIL-100 (navy) and Fe-BTC (orange). Upper inset shows the distortion at low-r. Lower inset represents the relative magnitudes of the distortion occurring upon collapse of MIL-100 (navy) and Fe-BTC (orange), uncertainties represent the variance associated with the discarded principal components. b Time-resolved weightings of the first (filled) and second (empty) principal components used to reconstruct the experimental PDF data, fitted using a linear and an exponential decay function, respectively.
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PMC9023516
|
41467_2022_29849_Fig6_HTML.jpg
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0.481169 |
44c48096a6d04b22bdb4b907cbc8e9bc
|
Hierarchical structural analysis.The degree of variance captured by the distortion principal components in MIL-100 (navy) and Fe-BTC (orange) upon structural collapse to form amMIL-100 and amFe-BTC, respectively, in the 0–7 Å (trimer unit), 7–12 Å (tetrahedral assembly), and 12–50 Å (extended structure) regions. Uncertainties represent the variance associated with the discarded principal components. Inset figures show the structure of the trimer unit (left) and tetrahedral assembly (right).
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PMC9023516
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41467_2022_29849_Fig7_HTML.jpg
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0.410841 |
bd419859ac2047ea9c5c714861d295d3
|
Melting of TIF-4.a Experimental in situ PDFs following the melting of TIF-4, and the corresponding (b) first and (c) second principal components extracted through PCA, which describe atom–atom correlations and a structural distortion, respectively. d Temperature-resolved normalised weightings fitted using a Boltzmann function. e The degree of variance captured by the distortion component upon melting of TIF-4, over the length scales of the tetrahedrally coordinated zinc nodes (0–6.5 Å) and the extended structure (6.5–50 Å). Uncertainties represent the variance associated with the discarded principal components. Inset figures show a schematic of the ZnN4 tetrahedra (grey) and imidazolate linkers (green) (left) and the cag topology of the extended network structure (right).
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PMC9023516
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41467_2022_29849_Fig8_HTML.jpg
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0.417376 |
6f53a77ab40c44749dcd16d6fd46b92f
|
Reciprocal space.a Experimental in situ structure factors following the melting of TIF-4, and the corresponding (b) first and (c) second components extracted through PCA. Inset shows a comparison of the relative magnitudes of the variance captured by the distortion component in real (filled) and reciprocal (empty) space, uncertainties represent the variance associated with the discarded principal components. d Temperature-resolved normalised weightings fitted using a Boltzmann function. e Comparison between the Boltzmann functions obtained for the real and reciprocal space weightings of the distortion.
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PMC9023516
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41467_2022_29849_Fig9_HTML.jpg
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0.478762 |
1955bae924c54232bda5b930c10fd14f
|
Correlations between plasma BCAAs and AAAs and PD clinical characteristics.The heat maps represent Spearman’s rank correlations of BCAAs and AAAs with PD clinical characteristics (a). Correlation coefficients are represented by gradient colors. *P < 0.05, **P < 0.01, and ***P < 0.001. Scatter plot of plasma AAAs (b) and BCAAs (c) vs. H&Y stage. BCAAs, branched-chain amino acids; AAAs, aromatic amino acids; Leu, leucine; Ile, isoleucine; Val, valine; Phe, phenylalanine; Tyr, tyrosine; MDS-UPDRS, Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale; LEDD, levodopa equivalent daily dose; H&Y stage, Hoehn and Yahr stage.
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PMC9023571
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41531_2022_312_Fig1_HTML.jpg
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0.427082 |
bf564325ee424452b41444a32d8176ba
|
The alteration of fecal microbiota between early and advanced PD patients.a Beta diversity plots to visualize the difference in microbiota structure between early and advanced PD patients. PCoA plots show the beta-diversity with Bray–Curtis and Jaccard measures. b LEfSe analysis revealed remarkable microbial differences between early and advanced PD patients, adjusting for age, sex, BMI, levodopa (use or no use), levodopa daily dose, and LEDD. Abbreviations: PCoA, principal coordinates analysis; LEfSe, linear discriminant analysis (LDA) effect size; p, phylum; c, class; o, order; f, family; g, genus; BMI, body mass index; LEDD, levodopa equivalent daily dose.
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PMC9023571
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41531_2022_312_Fig2_HTML.jpg
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0.396068 |
6a200f0584c24fdd95a5e70254632f8c
|
Differences in microbiota functional profiling between early and advanced PD patients.a Predicted functional analysis identified 25 pathways with significantly different abundances of predicted genes between early and advanced PD patients. Pathways associated with BCAA biosynthesis had fewer numbers of predicted genes in patients with advanced PD, relative to early PD patients. Predicted functional microbiota profiling was performed using PICRUSt2. The abundances of predicted genes in metabolic pathways were compared using White’s nonparametric t-test with FDR correction using the STAMP software. b Comparisons of critical gene abundances in fecal samples between early and advanced PD patients. The gene abundances were expressed as log10 copy number per gram of dry weight feces. Differences between groups were assessed using ANCOVA, adjusting for age, sex, BMI, levodopa (use or no use), and LEDD. Data are presented as mean ± SEM. Abbreviations: PICRUSt2, Phylogenetic Investigation of Communities by Reconstruction of Unobserved States 2; FDR, Benjamini–Hochberg false-discovery rate; STAMP, Statistical Analysis of Metagenomic Profiles; ANCOVA, analysis of covariance; LEDD, levodopa equivalent daily dose; SEM, standard error of the mean.
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PMC9023571
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41531_2022_312_Fig3_HTML.jpg
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0.380967 |
1ab8aa95dbcd4853a75e97fd08302bea
|
Immunofluorescence images from H9c2 cardiomyocytes after oxidative stress and different recovery times. (A,B) SR-SIM microscopy of cardiomyocytes from Control (CT), oxidative stress (OS), and 24- and 48-h recovery groups. Magenta: actin; Yellow: paxillin; Cyan: γH2Ax; Blue: nucleus. Scale bar = 15 µm.
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PMC9023746
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fchem-10-836478-g001.jpg
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0.448495 |
591603ec5c754a84bbcd7da0cb5daf06
|
(A) PCA for control (red), oxidative stress (green), recovery (light blue), and QCs (blue) samples for RPLC-ESI(+)-MS, RPLC-ESI(−)-MS, HILIC-ESI(+)-MS, and HILIC-ESI(−)-MS modes, from top to bottom. (B) PLS-DA score plot for control (red), oxidative stress (green), and recovery (blue) samples for RPLC-ESI(+)-MS, RPLC-ESI(−)-MS, HILIC-ESI(+)-MS, and HILIC-ESI(−)-MS modes, from top to bottom.
|
PMC9023746
|
fchem-10-836478-g002.jpg
|
0.440007 |
dd016cc4eff44f9b83a060ea501ecd5c
|
Pie chart representation of the statistically significant metabolic pathway present in Table 3 for (A) oxidative stress, (B) recovery, and (C) recovery vs. oxidative stress. The size of the pie chart is represented by the number of up- and downregulated metabolites in each group.
|
PMC9023746
|
fchem-10-836478-g003.jpg
|
0.54223 |
a38c82f3d9ef45ea84d458095d068d15
|
Representative metabolic pathway maps of significantly altered metabolites. Boxes with dashed lines represent the identified metabolites. Important metabolites related to (A) “Alanine, aspartate and glutamate metabolism” and “Urea cycle”; (B) “Anaerobic glycolysis”; (C) “Pyrimidine biosynthesis”; and (D) “Glutathione metabolism”.
|
PMC9023746
|
fchem-10-836478-g004.jpg
|
0.491483 |
5a73a73bfe2d47969ede17a4a73e510c
|
Tobacco worksheet for data collection.
|
PMC9024494
|
healthcare-10-00717-g0A1.jpg
|
0.470166 |
05dbf1f5aa294097b2c9a508b93516e7
|
International no smoking symbol.
|
PMC9024494
|
healthcare-10-00717-g0A2.jpg
|
0.658644 |
3fb32c37a63b43d3acda292bcf37bc1e
|
The chemical structure of quercitrin.
|
PMC9024604
|
jcm-11-02177-g001.jpg
|
0.411878 |
7033839c2ad540b69dc5dcd9751cae2d
|
The effect of Alchornea spp. leaf extracts (1 mg/mL) on percentage sickling on incubation with erythrocytes in Na2S2O5-induced hypoxic conditions. (A) Percentage sickling, (B) percentage sickling inhibition, and (C) percentage reversion of sickling. The data represent the average of three similar results from the repeat experiments. The negative controls are the sickled erythrocytes in Na2S2O5-induced hypoxic conditions that were not treated with Alchornea spp. leaf extracts. DCM = dichloromethane extract. ALM = Alchornea methanol extract (75 % methanol: 25 % H2O).
|
PMC9024604
|
jcm-11-02177-g002.jpg
|
0.399114 |
05775b875df44024a7522db3537c5edb
|
The effect of Alchornea methanol extract fractions of ALM7, designated ALM7T1-8 (see Figure S1) on ex vivo erythrocyte sickling in Na2S2O5-induced hypoxia. Treatments with all concentrations of ALM7T5 showed significant increases (p < 0.001) in sickling inhibition over zero.
|
PMC9024604
|
jcm-11-02177-g003.jpg
|
0.433291 |
a7679464fa1a470b9ddddc91e3772f4f
|
Reversibility effects of quercitrin on HbSS-RBC sickling in vitro, at low oxygen tension induced by Na2S2O5 after a 5 h-incubation period. The data are represented as mean and SD, obtained from three independent experiments. The treatments all showed significant increases (p < 0.001) in sickling reversibility over zero.
|
PMC9024604
|
jcm-11-02177-g004.jpg
|
0.374483 |
c7d9f2bb2af54f749f09946256d09a9b
|
Inhibitory Effects of different concentrations of 0.25-4 mg/mL of (A) quercitrin and (B) p-hydroxybenzoic acid on HbS polymerisation, in vitro. Quercitrin inhibits HbS polymerisation compared to the “positive control”: deoxyHbS without quercitrin. With HbSS; HbS not subjected to deoxygenation. DeoxyHbA (HbAA) did not polymerise and represents a negative control. This represents data obtained from three typical independent experiments performed in quadruples.
|
PMC9024604
|
jcm-11-02177-g005.jpg
|
0.43874 |
0f4bb17552da42cea74f8beca0de4f4f
|
The metabolomic impact of quercitrin on erythrocyte sickling shown using (A) Principal component analysis (PCA and (B) hierarchical cluster analysis highlighting the major sources of variation between cluster 1 and cluster 2 on the PCA.
|
PMC9024604
|
jcm-11-02177-g006.jpg
|
0.462041 |
2de1a9b017ba4fd5addfe86721c6e3b4
|
Summary of Mechanisms Contributing to Outcomes of SGLT-2i on Edema/Congestion in HFrEF [15,16,17,37,38,39,40,41,42,43,44,45,46,47,48,68,69].
|
PMC9024630
|
diagnostics-12-00989-g001.jpg
|
0.475457 |
1dd68b6c554b4ea380cd773ca43965e1
|
Schematic presentation of SGLT-2i Contribution to Attenuation of Edema/Congestion in HFrEF. Created with BioRender.com.
|
PMC9024630
|
diagnostics-12-00989-g002.jpg
|
0.463097 |
d9af7cc322494dc7bf45e3548affc249
|
Number of articles published per year about silicon or silica nanostructures, based on a search using the keywords “Silicon AND Nano*” or “Silica AND Nano*” on the website Web of Science. The star * at the end of nano means that all words beginning with “nano” are considered in the search (nanoparticles, nanowires…).
|
PMC9025556
|
nanomaterials-12-01270-g001.jpg
|
0.472467 |
49b29517d5884e769848b1b80bb88c3a
|
XRD analysis of fresh and used 3 wt % PdNPs/MC.
|
PMC9026098
|
ao1c07342_0001.jpg
|
0.440979 |
fcbd43445e9a4e078b06d1c821fb3111
|
(a) TEM image of fresh 3 wt % PdNPs/MC. (b) TEM image
of used 3
wt % PdNPs/MC. (c, d) PdNP size distributions of fresh and used catalysts.
|
PMC9026098
|
ao1c07342_0002.jpg
|
0.446428 |
4f1b385dffb9478f99be73b85ab4da5e
|
(a) XPS survey of the fresh catalyst. (b) XPS analysis of fresh
and used 3 wt % PdNPs/MC.
|
PMC9026098
|
ao1c07342_0003.jpg
|
0.503676 |
b07e08d785f244ee8d9964dcc86dd648
|
(a) N2 adsorption/desorption isotherms of MC and fresh
3 wt % PdNPs/MC. (b) Pore size distribution of MC and fresh 3 wt %
PdNPs/MC.
|
PMC9026098
|
ao1c07342_0004.jpg
|
0.506481 |
a740264778624436a71230344c8b2799
|
IR analysis of fresh and used catalysts.
|
PMC9026098
|
ao1c07342_0005.jpg
|
0.401459 |
ee4b6831b51b4c95b55a0c048aa6c54f
|
Recyclability of the
catalyst.
|
PMC9026098
|
ao1c07342_0006.jpg
|
0.496466 |
c341c0fe3e0b4845980dfce4ba33f25f
|
Preparation of Imide Derivates
|
PMC9026098
|
ao1c07342_0007.jpg
|
0.453281 |
e6797b5068a94f2bbcb365128e3d1e23
|
Scope of Other Esters
|
PMC9026098
|
ao1c07342_0008.jpg
|
0.559281 |
653fd91ba3ad46a9b0cda3e07e4ac74b
|
Proposed Reaction
Mechanism
|
PMC9026098
|
ao1c07342_0009.jpg
|
0.439864 |
3598a050ab73434f9c2b340bbdd405ce
|
Example of IM problem.
|
PMC9027724
|
entropy-24-00502-g001.jpg
|
0.445016 |
d5ff7e5428ad49a69aebe7a22b9a7685
|
The diagram of the proposed methodology.
|
PMC9027724
|
entropy-24-00502-g002.jpg
|
0.408513 |
dce8ce0a4ee04ddcb52e794ae2112900
|
The diagram of RBIM.
|
PMC9027724
|
entropy-24-00502-g003.jpg
|
0.442315 |
f221aac65e874b36aba787e11888099b
|
The example of new strategy.
|
PMC9027724
|
entropy-24-00502-g004.jpg
|
0.489895 |
c05b832c9c2c4a71b4c4d8ac23596592
|
Algorithm flow chart.
|
PMC9027724
|
entropy-24-00502-g005.jpg
|
0.439435 |
476781fa4c7c430da5d95674a583e83a
|
Epinions and Wiki.
|
PMC9027724
|
entropy-24-00502-g006.jpg
|
0.403872 |
b25d4962bd0d4d4784f76c9d68caccbe
|
Dblp and ER_to_directed.
|
PMC9027724
|
entropy-24-00502-g007.jpg
|
0.444117 |
8185e2bdd61a48bb90edebf3314e0587
|
BA_to_directed and WS_to_directed.
|
PMC9027724
|
entropy-24-00502-g008.jpg
|
0.486527 |
72dfe4d1c0b44d7b8ff597e3a30311ce
|
Specifications of the (A) open-construct double-helical Fe suture anchor (SA) and (B) screw-type Ti SA. (C) Illustration of the open-construct double-helical Fe SA.
|
PMC9027822
|
materials-15-02801-g001.jpg
|
0.506775 |
5c993fa5a9d84a0b977b18501ff95155
|
(A) The dimensions of the Fe SA were 11.0 × 3.5 mm. (B) An inserter handle was designed to hold the Fe SA, which was inserted into a predrilled hole on the polyurethane foam block. (C) After inserting the SA and removing the inserter handle, the suture exited the core of the iron SA. (D) The control group: the non-vented screw-type Ti SA had a tapered tip portion with sutures through the proximal eyelet. The suture was passed through the eyelet at the top of the SA. The Ti SA was pulled out of the polyurethane foam block during the mechanical test.
|
PMC9027822
|
materials-15-02801-g002.jpg
|
0.468946 |
8b2450677e2648d8a763dac8359c2e47
|
(A) The SST of the rabbit was identified. (B) The SST was sharply dissected with a scalpel blade and (C) the SST was detached from the insertion of the humerus. (D) A drill bit was used to predrill a hole in the humerus insertion of the SST. (E) After inserting the SA, the two ends of the suture exited from the SST insertion. (F) The SST was repositioned to the footprint using a modified Mason–Allen stitch.
|
PMC9027822
|
materials-15-02801-g003.jpg
|
0.435647 |
3ccb52bbe34b4c1680cd3484e9960209
|
The radiograph shows that the Ti SA (left shoulder) and Fe SA (right shoulder) were inserted into the proximal humerus greater tuberosity.
|
PMC9027822
|
materials-15-02801-g004.jpg
|
0.462051 |
9830a0b141ee4d5e8da8ee8d4e5403b3
|
The reconstructed cross-sections were re-orientated, and the region of interest (ROI) was further selected. The 3.5 mm implant column was isolated. (A) The analysis was performed with 3 mm images (100 slices, 3–6 mm from the end of the implant). Automatic Ostu thresholding and bone ingrowth analysis were performed using CTAn software. (B) The ROI was defined as a 200–1000 μm region around the implant.
|
PMC9027822
|
materials-15-02801-g005.jpg
|
0.523055 |
a4402a626dca4d5ea1721452b9ca4141
|
In vitro biomechanical ultimate pullout strength assessment for the different SAs in 20-pound-per-cubic-foot (pcf) polyurethane foam blocks and rabbit humeri. Mean ± standard error of the mean (SEM).
|
PMC9027822
|
materials-15-02801-g006.jpg
|
0.476887 |
d77c1ee3e00d444e9db4cd5cdaada2f1
|
In vitro corrosion characteristics of the Fe SA. Mean ± SEM.
|
PMC9027822
|
materials-15-02801-g007.jpg
|
0.641148 |
461de3a5a67c476eb82f98cabe91161c
|
In vivo biomechanical ultimate pullout strength assessment for different SAs at 0, 2, and 6 weeks after surgery. Mean ± SEM. * p < 0.05.
|
PMC9027822
|
materials-15-02801-g008.jpg
|
0.426997 |
92cc6b0394b745caa2101106c339b653
|
Three different modes of failure after the ultimate pullout strength assessment. (A) Failure at the tendon–suture junction (arrow). (B) Failure at the suture–anchor junction. That is, the end of the suture ruptured from the anchor (arrowhead). (C) The SA was pulled out. T, tendon; S, suture; A, anchor.
|
PMC9027822
|
materials-15-02801-g009.jpg
|
0.464029 |
f0e197233790452ab8ad33a562a33fe5
|
Micro-computed tomography (micro-CT) analysis. Quantitative evaluation of the bone volume (BV) between the bone and SAs. The tissue volume (TV, mm3), BV (mm3), and BS (mm2) were examined in a region of interest (ROI) of 200–1000 μm around the implant. (A) BV fraction (BV/TV, %) and (B) BS density (BS/TV, mm−1) represent the BV rate and bone tissue surface rate, respectively. Mean ± SEM. * p < 0.05.
|
PMC9027822
|
materials-15-02801-g010.jpg
|
0.424337 |
f406ee27385f47619d697956dbe64950
|
Micro-CT analysis. (A) Titanium SA 2 weeks after implantation. The BV fraction was 27.77% and the bone surface (BS) density was 4.52 mm−1. (B) Iron SA 2 weeks after implantation. The BV fraction was 38.20% and the BS density was 6.05 mm−1.
|
PMC9027822
|
materials-15-02801-g011.jpg
|
0.408613 |
12d10fa881244ec6bacf678d58f6a6d6
|
Micro-CT analysis. (A) Ti SA 6 weeks after implantation. The BV fraction was 29.59% and the BS density was 4.57 mm−1. (B) Fe SA 6 weeks after implantation. The BV fraction was 39.78% and the BS density was 6.31 mm−1.
|
PMC9027822
|
materials-15-02801-g012.jpg
|
0.547462 |
cc04628703d7448294103f84fbab052b
|
Micro-CT degradation analysis of the Fe SA groups 2 and 6 weeks postoperation in (A) Objective volume (mm2), (B) Object surface (mm2), and (C) Object thickness (mm). Mean ± SEM. * p < 0.05.
|
PMC9027822
|
materials-15-02801-g013.jpg
|
0.42093 |
f99e083c76d743d9b38623677fe2f9d3
|
Reconstructed micro-CT images of two Fe SAs (A) 2 weeks postoperation and (B) 6 weeks postoperation.
|
PMC9027822
|
materials-15-02801-g014.jpg
|
0.461376 |
59fd9cdb7f654d90b0908217d0c61c70
|
Micro-CT and histological examination of the bone–SA interface 2 and 6 weeks postoperation. w, week; A, anchor; S, suture; DP, degradation products; MO, mineralized osteocytes.
|
PMC9027822
|
materials-15-02801-g015.jpg
|
0.446344 |
42839795a17041dea0f4e7d5cfdf3425
|
(A) Level of serum blood urea nitrogen (BUN; mg/dL), (B) level of serum alanine transaminase (ALT; U/L), (C) level of serum albumin (Alb; g/dL), and (D) level of creatinine (Cr; mg/dL) preoperation and 2 and 6 weeks postoperation. Mean ± SEM.
|
PMC9027822
|
materials-15-02801-g016.jpg
|
0.453179 |
fca4bf426e6e4157b8162c97cc05b0d8
|
The exercise capacity of examined women and men with CAD at baseline and after 8 weeks of CR program in age subgroups.
|
PMC9027960
|
jpm-12-00600-g001.jpg
|
0.50754 |
d2e4b06d2d1f41f6a059ddcf71730dfb
|
The exercise capacity of examined women and men with CAD at baseline and after 8 weeks of CR program in created BMI subgroups.
|
PMC9027960
|
jpm-12-00600-g002.jpg
|
0.530892 |
06e1d23faaee4e5eb18b4f0e6a14194a
|
The exercise capacity of examined women and men with CAD at baseline and after 8 weeks of CR program in created subgroups related to LVEF.
|
PMC9027960
|
jpm-12-00600-g003.jpg
|
0.552207 |
13b001b926fe45178e186b793d34287c
|
The exercise capacity of examined women and men with CAD at baseline and after 8 weeks of CR program in subgroups created due to the number of coronary vessels affected with atherosclerosis.
|
PMC9027960
|
jpm-12-00600-g004.jpg
|
0.450058 |
59f876a0b30f432a845fe38d1a278b5b
|
Scheme of the multistage, symptom-limited exercise test on the cycle ergometer.
|
PMC9027960
|
jpm-12-00600-sch001.jpg
|
0.414387 |
f6ffd669026d48fda9485b7e4cd0db1c
|
Distribution of PSQI scores, n = 112.
|
PMC9028006
|
healthcare-10-00663-g001.jpg
|
0.436116 |
f6ff86c46152480da99499f8a035de1a
|
Distribution of scores for each component of the Pittsburgh Sleep Questionnaire, n = 112.
|
PMC9028006
|
healthcare-10-00663-g002.jpg
|
0.460654 |
0b41c680b663426c9d325160c9686bf7
|
Distribution of Sleep Duration, n = 112.
|
PMC9028006
|
healthcare-10-00663-g003.jpg
|
0.546194 |
c21bf9f306ab4184a9c8b52aa8261c0e
|
Sample photo of the microstructure. It shows an instance from the Rm set, where the photos are grouped by tensile strength. In this case, it is a low-resistance microstructure. Source: [11].
|
PMC9029122
|
materials-15-02884-g001.jpg
|
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