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Results on the Mating Dataset (box and mask colors are selected randomly). (a,c,e,g) Segmentation results, (b,d,f,h) TP (green), FP and FN (red) pixels.
PMC10328995
41598_2023_38213_Fig4_HTML.jpg
0.439187
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Example of tracked C. elegans.
PMC10328995
41598_2023_38213_Fig5_HTML.jpg
0.472456
afa916aa8b094a77b01368f5f31bcf79
Surgical accuracy of the translations and rotations of the maxilla for each year subdivided in three discrepancy groups. < 1 mm or ° = high accuracy, 1–2 mm or ° = intermediate accuracy and > 2 mm or ° = low accuracy
PMC10329591
784_2023_5013_Fig1_HTML.jpg
0.502684
024268cd77e64cdbacf5ddfb3206dbe4
Surgical accuracy of the cranial/caudal movements of the maxilla for each year. CCPI− = cranial-caudal translation in mm without posterior impaction and CCPI+ = cranial-caudal translation in mm with posterior impaction
PMC10329591
784_2023_5013_Fig2_HTML.jpg
0.430766
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Surgical accuracy of the pitch rotations of the maxilla for each year. PPI− = pitch rotation in ° without posterior impaction and PPI+ = pitch rotation in ° with posterior impaction
PMC10329591
784_2023_5013_Fig3_HTML.jpg
0.421299
12b6dde018e64ba98ba001417cafbe27
Changes in NT-proBNP from baseline to 6 months for patients 1–8. (A) Percentage change in NT-proBNP from baseline to 6 months follow-up for individual patients 1 to 8. (B) Box-and-whiskers plot presenting the absolute NT-proBNP (ng/L) levels at baseline and 6 months follow-up for patients 1 to 8. The p-value refers to the comparison of the median values between baseline and 6 months follow-up (Wilcoxon signed-rank test). NT-proBNP, N-terminal pro-B-type natriuretic peptide.
PMC10330719
fcvm-10-1093201-g001.jpg
0.386271
5cf7629bc72540f6b0355ab58036e531
The α-diversity is analyzed by the (A) Ace, (B) Chao, (C) Shannon, (D) Simpson, (E) Coverage indexes. (F) The β-diversity is shown by principal coordinate analysis (PCoA) based on Bray–Curtis Dissimilarity index (ANOSIM, R = 0.5801, P = 0.0010). (G) A sample clustering tree and histogram structure analysis diagram at the genus level is shown. The hierarchical clustering analysis between samples based on community composition is on the left side and the right side indicate the histogram of a community composition of the samples.
PMC10332274
fmicb-14-1215884-g001.jpg
0.46131
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Relative abundance of microbial community at phylum, genus, species levels. (A–C) Bar plots show the average relative abundance of gut microbiota in NS, PS group. Circos analysis shows the corresponding abundance of fecal microbiota in NS, PS group at phylum (D), genus (E), species (F) levels.
PMC10332274
fmicb-14-1215884-g002.jpg
0.385258
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Comparison of the relative abundance of gut microbiota between NS and PS groups. Significantly changed taxa between two group at panel (A) phylum, (B) genus, (C) species levels. Data are analyzed by wilcoxon rank-sum test with Benjamini-Hochberg false discovery rate multiple test correction.
PMC10332274
fmicb-14-1215884-g003.jpg
0.404822
7508075f303e4bc4a9d9668573ff8569
LDA diagram of LEfSe analysis at panel (A) phylum, (B) genus and (C) species levels. The red histogram represents NS group, and blue histogram represents PS group. The length of the histogram represents LDA score. P < 0.05 (Kruskal–Wallis test); log10[LDA] ≥ 3.0.
PMC10332274
fmicb-14-1215884-g004.jpg
0.441334
eadce287486c4a0c9620f640b5828260
Correlation network analysis of the 50 most abundant OTUs for panel (A) NS and (B) PS. The networks display significant positive (red lines) and negative (green lines) correlations between operational taxonomic units (OTUs). The thickness of the lines represents the magnitude of the correlation coefficient, with thicker lines indicating a stronger correlation between OTUs. The size of the nodes represents the abundance of OTUs. OTUs are colored by phylum affiliation.
PMC10332274
fmicb-14-1215884-g005.jpg
0.406254
1a07984a167f45e1b5cf904d5b5af45c
Proportions of bacteria detected in the sinus aspirates of pediatric patients with acute rhinosinusitis
PMC10334637
12887_2023_4178_Fig1_HTML.jpg
0.403659
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Rewired co-occurrence network at the genus level. Nodes represent bacterial genera, and edges represent the statistically significant associations between nodes. The green edges are indicators of gained interactions, and the dashed red edges are indicators of lost interactions in the disease state
PMC10334658
12866_2023_2931_Fig10_HTML.jpg
0.443086
3d5a795aca2b4bc38f6353feb144ddb9
An overall workflow including data acquisition and preparation steps followed by downstream analyses
PMC10334658
12866_2023_2931_Fig11_HTML.jpg
0.420953
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Systematic search process
PMC10334658
12866_2023_2931_Fig1_HTML.jpg
0.459545
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Scaled relative frequency of shared genera across different datasets. The heatmap displays the variation in the microbiome composition at the genus level. The average relative frequency of the shared genera has been shown. D1: Dataset 1, D2: Dataset 2, D3: Dataset 3, D4: Dataset 4
PMC10334658
12866_2023_2931_Fig2_HTML.jpg
0.435962
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Alpha diversity at the phylum level. A Observed phyla B Shannon diversity index (aka Shannon–Wiener index) C Simpson index. Boxplots summarize estimated alpha diversity based on different metrics within each group and show differences between cases and controls. Asterisks represent a significant result from the Wilcoxon Rank Sum Test. Case: lung tumor tissues, Control: tumor-adjacent normal tissues, ***p < 0.001
PMC10334658
12866_2023_2931_Fig3_HTML.jpg
0.397956
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Alpha diversity at the family level. A Observed families B Shannon diversity index (aka Shannon–Wiener index) C Simpson index. Boxplots summarize estimated alpha diversity based on different metrics within each group and show differences between cases and controls. Asterisks represent a significant result from the Wilcoxon Rank Sum Test. Case: lung tumor tissues, Control: tumor-adjacent normal tissues, *p < 0.05, ***p < 0.001
PMC10334658
12866_2023_2931_Fig4_HTML.jpg
0.421565
46154b08efc8448096daa2e7115579b7
Alpha diversity at the genus level. A Observed genera B Shannon diversity index (aka Shannon–Wiener index) C Simpson index. Boxplots summarize estimated alpha diversity based on different metrics within each group and show differences between cases and controls. Asterisks represent a significant result from the Wilcoxon Rank Sum Test. Case: lung tumor tissues, Control: tumor-adjacent normal tissues, *p < 0.05, ***p < 0.001
PMC10334658
12866_2023_2931_Fig5_HTML.jpg
0.444559
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Beta diversity at the phylum level. A PCoA plot based on Bray–Curtis dissimilarity shows the differences in the lung microbiome composition between cases and controls. Each dot represents the microbiome of a sample, and asterisks indicate a significant result from PERMANOVA. B Boxplots show dispersion within and between groups. Asterisks denote a significant result from ANOVA. Case: lung tumor tissues, Control: tumor-adjacent normal tissues, *p < 0.05, ***p < 0.001
PMC10334658
12866_2023_2931_Fig6_HTML.jpg
0.468319
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Beta diversity at the family level. A PCoA plot based on Bray–Curtis dissimilarity shows the differences in the lung microbiome composition between cases and controls. Each dot represents the microbiome of a sample, and asterisks indicate a significant result from PERMANOVA. B Boxplots show dispersion within and between groups. Asterisks denote a significant result from ANOVA. Case: lung tumor tissues, Control: tumor-adjacent normal tissues, ***p < 0.001
PMC10334658
12866_2023_2931_Fig7_HTML.jpg
0.435133
a9231c919f5144aeb5bec5a0deb1bdac
Beta diversity at the genus level. A PCoA plot based on Bray–Curtis dissimilarity shows the differences in the lung microbiome composition between cases and controls. Each dot represents the microbiome of a sample, and asterisks indicate a significant result from PERMANOVA. B Boxplots show dispersion within and between groups. Asterisks denote a significant result from ANOVA. Case: lung tumor tissues, Control: tumor-adjacent normal tissues, *p < 0.05, ***p < 0.001
PMC10334658
12866_2023_2931_Fig8_HTML.jpg
0.516443
b008195d79c3434ebf3e49ca77818414
Rewired co-occurrence network at the phylum level. Nodes represent bacterial phyla, and edges represent the statistically significant associations between nodes. The green edges are indicators of gained interactions, and the dashed red edges are indicators of lost interactions in the disease state
PMC10334658
12866_2023_2931_Fig9_HTML.jpg
0.437844
43a1eb4af7a5404ba2600f26bc6459d8
A timeline with milestone achievements of quantum computingSome problem-solving approaches of quantum computing in nucleic acid research (A). Timeline depicts the milestone achievements of quantum computer. The latest milestone achievement was reported as the IBM computer with the 400-plus Qubits processor. (B) Different emerging and fascinating problem-solving approaches of quantum commuting in nucleic acid research included de novo assembly of DNA, DNA-binding transcription factors, genome sequence reconstruction, RNA folding, etc.
PMC10336077
gr1.jpg
0.478283
94a32f9767c24bcf838e43831698bd0f
Boxplot showing increase in Horse Grimace scale score between early and peak season visits (emmean: Visit 1 vs. Visit 2, 2.38/3.22, ***p ≤ 0.001).
PMC10336241
fvets-10-1208744-g001.jpg
0.476501
d0b71deeb9b14afaa537491678d3c55e
a) a) pH profile during fortification of orange juice b) Total tritable acidity during fortification of orange juice c) TSS profile during fortification of orange juice. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
PMC10336446
gr1.jpg
0.456454
ec290f0f11b343258e509a30a8967f07
a) Processing flow chart of fortified orange juice b) Sucrose utilization during fortification of orange juice c) Glucose utilization during fortification of orange juice. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
PMC10336446
gr2.jpg
0.401473
fa0c7511a57a48b9be091b986b150f6f
a) Citric acid utilization during fortification of orange juice b) Malic acid utilization during fortification of orange juice c) Ascorbic acid utilization during fortification of orange juice. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
PMC10336446
gr3.jpg
0.500322
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a) Total anthocyanin profile of orange juice during fortification b) Total flavonoid profile of orange juice during fortification c) Total phenolic content of orange juice during fortification. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
PMC10336446
gr4.jpg
0.399459
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a) Representing the SEM image of psyllium and sodium alginate beads with K. flava Y4 b) EDS spectra of beads c) Representing the FTIR spectra of psyllium and sodium alginate beads with K. flava Y4.
PMC10336446
gr5.jpg
0.43664
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Decision curve (NB) of the candidate model (solid blue), treating all (gray oblique line), and treating none (gray horizontal line) in the validation sample.Bootstrap-based 95% confidence intervals are depicted for the candidate model and treating all strategies (dashed curves).*Treating none (horizontal gray line) and treating all (oblique gray line) NB: net benefit.
PMC10336716
10.1177_0272989X231178317-fig1.jpg
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Histogram of the incremental NB of the model (dNB) based on 10,000 bootstraps.NB: net benefit.
PMC10336716
10.1177_0272989X231178317-fig2.jpg
0.453267
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Validation EVPI for the case study as a function of thresholds* for the Bayesian bootstrap (solid red), ordinary bootstrap (dashed blue), and asymptotic method (dotted orange).*Only 3% of predicted risks were at higher thresholds.EVPI: Expected Value of Perfect Information.
PMC10336716
10.1177_0272989X231178317-fig3.jpg
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Results of the simulation study for the simple model.*Results are based on 10,000 Monte Carlo simulations. The maximum Monte Carlo Standard Error was 4.45E-06, which is 0.03% of the length of the Y-axis. Within each simulation, EVPIs were calculated with 1,000 simulations for the bootstrap-based methods.EVPI: Expected Value of Perfect Information.
PMC10336716
10.1177_0272989X231178317-fig4.jpg
0.646083
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EVPI values across the range of sample sizes for the three computation methods and threshold values of 0.01 (top left), 0.02 (top right), 0.05 (bottom left), and 0.10 (bottom-right). Solid red: Bayesian bootstrap; dashed blue: ordinary bootstrap; dotted orange: asymptotic method.**The X-axis for three of the panels is truncated as the higher values were all zero. Results are based on 1,000 Monte Carlo simulations.EVPI: Expected Value of Perfect information.
PMC10336716
10.1177_0272989X231178317-fig5.jpg
0.462145
0adadd5de2a04da9b642f6e18168a683
Trends in flood occurrences and duration compared with malaria incidences in children < 5 years among the five partner countries of FOCAC in E.A between 1990 and 2019
PMC10337152
12889_2023_16220_Fig1_HTML.jpg
0.417114
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The duration (days) of flood occurrence per year across the five partner countries of FOCAC in E.A, 1990–2019
PMC10337152
12889_2023_16220_Fig2_HTML.jpg
0.414897
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Study flow of hospitalizations. In cases where we identified multiple hospitalization claims for the same person during the same time period (overlapping or on day subsequent to the index visit), all with “still patient” as the discharge code, we excluded the claims
PMC10337199
13722_2023_396_Fig1_HTML.jpg
0.40431
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Patient responses to instructions comprehension.
PMC10337705
gox-11-e5118-g001.jpg
0.409583
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Patient responses to CS scale coverage.
PMC10337705
gox-11-e5118-g002.jpg
0.42295
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Patient responses on time to complete CS scale.
PMC10337705
gox-11-e5118-g003.jpg
0.428428
b302302068bc4038ad618ca395dd89fa
Multisource vacuum deposition of halide perovskite absorbers (a) illustration of multisource vacuum deposition of high-quality perovskite absorbers comprising FA0.7Cs0.3Pb(I0.9Br0.1)3 from PbI2, FAI, and CsBr. (b) Device structure and (d) cross-sectional micrograph of the here used device structure comprising glass/ITO/PTAA/FA0.7Cs0.3Pb(I0.9Br0.1)3/C60/BCP/Ag. (c) Depicts a top-view micrograph of the evaporated perovskite absorber on glass/ITO/PTAA. (e) Long-term MPP tracking results of evaporated FA0.7Cs0.3Pb(I0.9Br0.1)3 and spin-coated MAPbI3 based solar cells under white light LED 1 sun equivalent illumination or 400 nm deep blue/UV LED illumination (f).
PMC10337721
d3ra03846g-f1.jpg
0.484828
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Degradation of evaporated perovskite device performance under 68 MeV proton irradiation (a and b) JV characteristics, evolution of the remaining factor (i.e. performance metric ratio before and after degradation) of VOC, JSC, FF and η (a) and internal quantum efficiency (b) after 2 × 1012 p+ cm−2 and 1 × 1013 p+ cm−2 compared to a non-irradiated reference device. The photograph in (b) further shows the darkening of the used glass substrates being responsible for the IQE losses at low wavelengths <700 nm. While JSC and reduced according to the reduced glass transmission, remarkably no degradation in VOC and FF is observed.
PMC10337721
d3ra03846g-f2.jpg
0.459523
f2c6a2c0b8a0458abe3f27cbb71813d5
Radiation hardness of vacuum-deposited FA0.7Cs0.3Pb(I0.9Br0.1)3 (a) VOC as a function of JSC (Suns-VOC–JSC) under λ = 532 nm laser illumination with varying intensity corresponding to 10−4 to 1 sun for reference and proton irradiated devices. Irradiated and non-irradiated measurements collapse on a single trend suggesting negligible radiation-induced damage. (b) Pseudo JV characteristics derived from Suns-VOC–JSC. (c) Electroluminescence quantum efficiency EQEEL as a function of injection current for reference and proton irradiated devices. The inset depicts the normalized EL spectrum. (d) Pseudo JV characteristics derived from EL.
PMC10337721
d3ra03846g-f3.jpg
0.390639
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Defects and charge extraction after proton irradiation (a) external quantum efficiency vs. incident photon energy of reference and proton irradiated devices. The signal-to-noise ratio was above 46 dB. The black dotted line represents the exponential drop below the band gap as expected from an Urbach energy of 16 meV. The disorder is therefore unaffected by proton irradiation. (b) Normalized transient photovoltage of reference and proton irradiated devices measured upon excitation with an ns laser pulse. The signal is measured across a load resistance of 1 MΩ, and thus the signal saturates once the photo-excited charge carriers reach the respective electrodes. The arrival time, however, does not change upon proton irradiation.
PMC10337721
d3ra03846g-f4.jpg
0.42467
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High-spatial resolution photoluminescence imaging of proton irradiated evaporated perovskite solar cells (a) confocal photoluminescence intensity map of the perovskite absorber. As indicated, excitation was performed through a 100× long working distance objective using a 636 nm excitation at 3 μJ cm−2. For comparison, the PL intensity was normalized for each image. This was necessary to account for the reduced glass transmission due to color centers created upon proton irradiation (b) PL lifetime maps and histogram of the 1/e lifetime (τ1/e), indicating no significant change upon proton irradiation. Corresponding PL decays, as well as additional decays measured under lower excitation fluence, are shown in the ESI, Fig. S8 and S9.†
PMC10337721
d3ra03846g-f5.jpg
0.485003
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Materials characteristics and device photovoltaic performance. (a) Molecular structures of PBDB-TCl polymer donor and SMAs BTP-eC9 and AITC. (b) Absorption spectra of three neat films. (c) UPS results of PBDB-TCl (black line), BTP-eC9 (orange line) and AITC (purple line). (d) Energy level diagram and charge transport dynamic progress of PBDB-TCl, AITC and BTP-eC9. The solid lines and the numbers (4.61, 4.79, and 4.79 eV) represent Fermi energy level of PBDB-TCl, BTP-eC9 and AITC neat films. (e) PCE, Jsc and FF values of OSCs based on PBDB-TCl : AICT : BTP-eC9 with different acceptor ratios (donor/acceptor = 1 : 1.2). Error bars represent the standard error of the mean (n = 10). (f) Current density-voltage (J-V) curves of binary and ternary OSCs. The certified result of optimal ternary OSC measured by NIM, China. (g) EQE curves of OSCs based on three blended films. The calculated current density (Jcal.) by integrating the EQE for the OSCs, which agrees well with that acquired from J–V measurements (about 1% errors).
PMC10337743
nwad085fig1.jpg
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Photophysical characteristics and charge transport dynamics. (a and b) 2D TA spectra of PBDB-TCl : AITC : BTP-eC9 and PBDB-TCl : BTP-eC9 under 800 nm excitation. (c and d) TA spectra at different time delays of PBDB-TCl : AITC : BTP-eC9 and PBDB-TCl : BTP-eC9 under the excitation wavelength of 800 nm. (e) Decay dynamics probed at 575, 750 and 950 nm in PBDB-TCl : AITC : BTP-eC9 systems under 800 nm excitation. (f) Decay dynamics probed at 575 nm in PBDB-TCl : AITC : BTP-eC9 and PBDB-TCl : BTP-eC9 systems under 800 nm excitation.
PMC10337743
nwad085fig2.jpg
0.392077
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Device physics characterization. (a) Photocurrent (Jph) versus effective voltage (Veff) for three OSCs. (b and c) Charge lifetime (τ) and recombination rate coefficient (Rrec) as a function of charge density (n) of the binary and ternary OSCs; n and τ are calculated by transient photovoltage (TPV) and charge extraction (CE) measurements. (d) Carrier mobility of blend films. The hole, electron and bulk carrier mobility are obtained by the space charge limited current (SCLC) method [40] and photo-induced charge-carrier extraction at linearly increasing voltage (photo-CELIV) measurement [41]. (e) Electrochemical impedance spectra for three devices. The fitted lines are obtained by fitting based on equivalent circuit model shown in Fig. S8, where Rs, Rtrans and Rrec represent the series resistances from all contacting interfaces, transport resistance and recombination resistance of active layer. (f) Defects density of state of the three films and corresponding fitting results. (g) EQEEL curves of three OSCs. (h) Summarization of various voltage losses. (i) Plots of PCE against ΔVloss (OSCs with PCEs > 17% including this work).
PMC10337743
nwad085fig3.jpg
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Morphology of thin films. (a) The atomic force microscopy (AFM) phase images of binary and ternary blended films. (b) Line profiles to obtain the full-width at half-maximum (FWHM) of cross-section of the fibral through AFM phase images. (c) 2D grazing incidence wide angle X-ray scattering (GIWAXS) patterns of the binary and ternary films. The qxy and qz corresponding scattering vector in the in-plane (IP) and out-of-plane (OOP) directions. (d and e) OOP and IP line-cut profiles of the 2D GIWAXS patterns based on binary and ternary blended films.
PMC10337743
nwad085fig4.jpg
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Photovoltaic performance of tandem OSCs. (a) Chemical structure of wide-bandgap polymer PFBCPZ. (b) Energy level diagram of the components used to fabricate tandem OSCs. (c) Distributions of photon absorptions of the tandem OSCs with glass/ITO structure (150 nm)/ZnO (30 nm)/PFBCPZ : AITC (90 nm)/MoO3 (7 nm)/Ag (0.5 nm)/ZnO-NPs : PFN-Br (20 nm)/PBDB-TCl : AITC : BTP-eC9 (130 nm)/MoO3(7 nm)/Ag (120 nm). (d) J-V curves of tandem OSCs with varying thickness of the active layer. (e) EQE spectra of optimal tandem OSC. (f and g) Light-intensity dependent JSC and VOC characteristics of the optimal tandem OSCs. (h) Photocurrent density (Jph) versus effective bias (Veff) for the tandem OSCs. (i) MPP tracking profile of the tandem OSCs.
PMC10337743
nwad085fig5.jpg
0.454209
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TGFβ-induced upregulation of EMyT in lens DCDMLs requires ErbB signaling. (A–C) DCDML cultures of primary lens epithelial cells preincubated for 1 hour with DMSO (vehicle control), the ErbB kinase inhibitor lapatinib or erlotinib, or the specific TGFβ receptor inhibitor SB-431542 (SB4) as indicated were cultured from days 1 to 7 in the presence of TGFβ. Controls were cultured in DMSO only. (A) Cells were then processed for immunofluorescence detection of αSMA and AQP0. Hoechst staining of nuclei is also shown. Typical of four experiments. (B, C) Western blotting of whole-cell lysates of DCDMLs cultured in either 100 µL/well M199/BOTS medium (B) or 200 µL/well M199 medium (C) for FN or αSMA. (D) Results from experiments shown in B and C were quantitated as fold inhibition relative to DMSO + TGFβ controls in the same experiment. For all conditions, P = 0.000. (E) DCDMLs were plated on bovine pdFN and cultured from days 1 to 7 with DMSO or lapatinib prior to analysis of cell lysates for FN or αSMA. Results expressed as percent inhibition by lapatinib compared to DMSO only (n = 3; P ≤ 0.001 for both myofibroblast markers). Note that the avian-specific anti-FN antibody used for Western blotting does not recognize bovine pdFN. For comparison, data are shown for DCDMLs plated under standard conditions (e.g., on laminin [LM]) and treated with DMSO only. (F) DCDMLs were cultured from days 1 to 7 with no additions (ctrl), TGFβ, or 10 nM HB-EGF, TGFα, or NRG1. None of the ErbB ligands increased the expression of FN or αSMA relative to untreated controls in four of four experiments. Similar results were obtained with 1 nM of each ErbB ligand (n = 3).
PMC10337807
iovs-64-10-6-f001.jpg
0.481799
45afe1062f3c4f3793e73df6a5920165
ErbB inhibition does not block TGFβ-induced lens fiber cell differentiation or Smad3 signaling. (A, B) DCDMLs preincubated for 1 hour with DMSO, lapatinib, or erlotinib were cultured with or without TGFβ for 6 days (A) or 90 minutes (B) prior to analysis of the fiber cell markers δ-crystallin, CP115, and CP49 (A) or activation of Smad3 (B) by either metabolic labeling (δ-crystallin)40,44 or Western blot (CP115, CP49; pSmad3). (C) DCDMLs were transfected with the SBE4-Luc reporter construct on day 1 of culture and then incubated on day 2 for 1 hour with DMSO, lapatinib, erlotinib, or the TGFβR inhibitor SB-431542. The cells were then cultured for an additional 48 hours with no additions (0) or TGFβ prior to Western blot analysis of luciferase expression. (D) Results for lapatinib and erlotinib from experiments shown in A to C were quantitated as fold inhibition relative to TGFβ + DMSO controls in the same experiment. In no case did ErbB inhibitors significantly (P < 0.05) reduce the ability of TGFβ to upregulate expression of the indicated protein.
PMC10337807
iovs-64-10-6-f002.jpg
0.394608
5a46157c6a704bffa57526cc73e6e75a
DCDMLs are responsive to ErbB1 and/or ErbB4 ligands. DCDMLs were incubated for 5 minutes with the ErbB ligands HB-EGF (1 nM), TGFα (1 nM), or NRG1 (10 nM), with or without a 1-hour pretreatment with lapatinib (lap). Whole-cell lysates were analyzed for activated forms of ERK (pERK) or AKT (pAKT). Results quantitated as fold increase relative to no growth factor controls (0) in which medium was removed and replaced for 5 minutes (P = 0.000). For comparison, additional cultures were exposed to the ErbB-unrelated ERK and AKT agonist insulin-like growth factor 1 (3 nM). Note that avian cells express the ERK2, but not the ERK1, isoform.
PMC10337807
iovs-64-10-6-f003.jpg
0.407569
41278bbd2fc6415fba77b9b9f3ef8ae2
Effect of TGFβ and/or FGF on expression of ErbB1, 2, and 4 in DCDMLs. (A, B) DCDMLs plated under standard conditions (e.g., low density on laminin) were cultured from days 1 to 7 with no additions (0), TGFβ, FGF2, or TGFβ plus FGF2 prior to analysis of ErbBs from either whole-cell lysates (A) or after isolation of the plasma membrane pool by cell surface biotinylation (B). Surface expression in cells cultured with TGFβ is graphed relative to no TGFβ controls (P = 0.000 for all). (C) DCDMLs plated at low density on pdFN were cultured for 6 days with either DMSO or the TGFβR inhibitor SB-431542 to block endogenous TGFβ signaling. Whole-cell lysates were analyzed for the indicated ErbB or αSMA. (D) DCDMLs were plated at higher density on either laminin (LM) or pdFN and then cultured from days 1 to 7 with no additions, TGFβ, DMSO, or SB-431542 prior to whole-cell lysate analysis of ErbB1 and αSMA. In A, C, and D, the arrow denotes the position of ErbB1; the lower band detected in some experiments is a nonspecific, cytosolic species in that it is not recognized by the same antibody in strepavidin-precipitated samples from cell surface biotinylated DCDMLs (B) and is not detected in cell lysates by the anti-ErbB1 rat monoclonal antibody 20.3.6 (Fig. 7B). (E) Expression of the indicated protein in cell lysates from experiments shown in A, C, and D was graphed relative to no growth factor or inhibitor controls plated on the same substrate in the same experiment, all normalized to tubulin. For all, P ≤ 0.01, except bars labeled with either an asterisk (P = 0.032) or NS (P = 0.162).
PMC10337807
iovs-64-10-6-f004.jpg
0.477274
76c3e03b20c14c83a6802fe99f0131c9
ErbB-stimulating activity in DCDML-conditioned medium. Untransfected HEK 293 cells pretreated for 1 hour with either DMSO or lapatinib (lap) were incubated at 4°C for 15 minutes with the medium indicated, prior to analysis of whole-cell lysates with the pan-phosphotyrosine antibody 4G10. All results shown are from the same blot of a single experiment, reprobed with antibodies against total ErbB1 to confirm equal loading. (A) HEKs were incubated at 4°C with fresh medium supplemented with 5-0.5 ng/mL HB-EGF. (B) HEKs were incubated at 4°C with medium conditioned for 2 days by DCDMLs (CM) cultured in either the absence (−) or presence (+) of TGFβ. Mock-conditioned medium (mock) was generated by incubating medium with or without TGFβ for 2 days in the absence of cells. All media were concentrated 5-fold prior to addition to HEK cell recipients.
PMC10337807
iovs-64-10-6-f005.jpg
0.450136
5c92d3be665a4368ae13a5c9e71f2e9d
Basal ErbB activity in DCDMLs. DCDMLs pretreated with either DMSO or lapatinib (lap) were incubated at 4°C for 15 minutes in either the absence or presence of 10 nM HB-EGF as indicated prior to cell surface biotinylation. Strepavidin precipitates of biotin-labeled plasma membrane proteins were run on SDS-PAGE and blotted for phosphotyrosine, followed by reprobing with antibodies against total ErbB1 to confirm the position of ErbBs. Equal portions of whole-cell lysate were analyzed for β-actin to ensure equal loading. Typical of six independent experiments.
PMC10337807
iovs-64-10-6-f006.jpg
0.47801
c8f2743b4a034e3cb6e798648de0b365
ErbB1 is active in DCDMLs. (A) DCDMLs were cultured for 24 hours in the presence of DMSO or lapatinib (lap) prior to analysis of ErbB1 or ErbB4 from either whole-cell lysates (total) or after isolation of the plasma membrane pool by cell surface biotinylation (cell surface). The level of ErbB1 and ErbB4 recovered from lapatinib-treated cells is graphed relative to DMSO-only controls in the same experiment. (B) DCDMLs were pretreated for 1 hour at 37°C with DMSO or lapatinib (lap) and incubated for 5 minutes at 37°C in the presence or absence of 10 nM HB-EGF prior to analysis of whole-cell lysates with a rabbit antibody specific for the Y1068 autophosphorylated, activated form of ErbB1. The blot was reprobed with the rat anti-ErbB1 20.3.6 antibody to detect total ErbB1. Arrow in A denotes the position of ErbB1; the lower band is a nonspecific, cytosolic species not recognized by the rat 20.3.6 monoclonal.
PMC10337807
iovs-64-10-6-f007.jpg
0.410447
81b70be6b78b41a2831a0cd9556c4647
ErbB1 behaves like a heterodimer in DCDMLs cultured without TGFβ but like a homodimer in plus TGFβ cells. (A–C) Lens cells plated on laminin (LM) or on pdFN were cultured from days 1 to 7 with or without TGFβ as indicated. The cells were then incubated at 37°C for 4 hours in the absence or presence of high levels (10 nM) of HB-EGF (A, B) or NRG1 (C) prior to analysis of ErbBs from either whole-cell lysates (A, C) or after isolation of the plasma membrane pool by cell surface biotinylation (B). Levels of ErbB graphed relative to no-ligand controls in the same experiment. (A) Increased expression of ErbB1 induced by either addition of exogenous TGFβ or plating on pdFN enhances the loss of total cellular ErbB1 in response to HBEGF. The graph also shows that a 1-hour pretreatment with lapatinib (+lap) blocks downregulation of ErbB1 after exposure to HB-EGF. NS, P ≥ 0.06. (B) Cell surface biotinylation confirms the loss of ErbB1 from the surface of TGFβ-cultured, HB-EGF–treated cells. (C) Culturing DCDMLs with TGFβ renders ErbB1 insensitive to downregulation by the ErbB4 ligand NRG1.
PMC10337807
iovs-64-10-6-f008.jpg
0.427208
b8b4cf94786e4ddbb951191b6cb90c9b
Effect of TGFβ on ErbB function. (A) TGFβ does not change the level of endogenously active ErbBs in DCDMLs. DCDMLs were cultured for 6 days in the absence or presence of TGFβ. Cells were then cell surface biotinylated prior to analysis of plasma membrane proteins using antibodies against phosphotyrosine (4G10; phospho-Y) or specific for the Y1068 autophosphorylated form of ErbB1 as indicated. Blots were reprobed with antibodies against total ErbB1. Data graphed as fold versus no TGFβ control cultures in the same experiment. (B) ErbB1 induced by TGFβ is activatable by exogenous ligand. DCDMLs cultured for 6 days with or without TGFβ were incubated at 4°C for 15 minutes in either the absence or presence of 10 nM TGFα as indicated. Whole-cell lysates were then analyzed by Western blot with antiphosphotyrosine or anti-pY1068 ErbB1 antibodies, followed by reprobing for total ErbB1. Data graphed as fold versus no TGFβ, + TGFα cultures in the same experiment.
PMC10337807
iovs-64-10-6-f009.jpg
0.490031
c9220d1dfe5144d58a092f9de71990c3
Effect of transient transfection of ErbB1, ErbB2, or ErbB4 in DCDMLs on αSMA. (A) Forced overexpression of ErbB 1, 2, or 4 does not prevent TGFβ from upregulating αSMA, FN, or CP49. DCDMLs were transiently transfected with plasmids encoding ErbB1-GFP, ErbB2-GFP, or ErbB4 on day 1 and cultured for 6 more days either with or without TGFβ prior to analysis of whole-cell lysates for the indicated protein. Controls were transfected with a plasmid encoding an irrelevant integral membrane protein (E208K Cx32).67 (B) Overexpression of ErbB1 selectively enhances αSMA in the absence of TGFβ. DCDMLs transfected with control or ErbB1-GFP (R1), ErbB2-GFP (R2), or ErbB4 (R4) plasmid were cultured for 6 days without TGFβ prior to Western blot assessment of αSMA and tubulin. (C) The level of αSMA in the presence of each exogenously expressed ErbB was graphed relative to the level of αSMA in control transfectants, all without TGFβ (n = 4). Overexpression of ErbB over endogenous ErbB protein achieved in the experiments quantitated was 75-206X (ErbB4), 61-358X (ErbB2), and 71-205X (ErbB1).
PMC10337807
iovs-64-10-6-f010.jpg
0.480139
027219dddf794705ae71165a053b6845
A single 1-hour, high-dose treatment with lapatinib blocks ErbB1 activity (A) and TGFβ-induced EMyT (B) for 6 days. DCDMLs were incubated on day 1 for 1 hour with 40 µM lapatinib or DMSO vehicle only. Medium was removed and the cells were cultured without drug for 6 days in the absence or presence of TGFβ. (A) Whole-cell lysates were analyzed for endogenous active ErbB using rabbit anti-pY1068 ErbB1 antibodies (n = 6). (B) Whole-cell lysates were analyzed for the EMyT markers FN and αSMA and for the fiber cell differentiation markers CP115 and CP49. Results quantitated as fold inhibition relative to controls treated with DMSO and then TGFβ in the same experiment. *P = 0.024. **P = 0.000.
PMC10337807
iovs-64-10-6-f011.jpg
0.45809
e25037dff25440428c72edae9bb58d15
A 1-hour treatment with lapatinib combines with a non-ErbB-targeted therapeutic to inhibit lens cell fibrosis. (A) Rebastinib does not hinder ligand-induced stimulation of ErbBs in DCDMLs. DCDMLs were preincubated with DMSO or 0.5 µM rebastinib (reb) for 4 hours prior to a 15-minute, 4°C treatment with either HB-EGF or TGFα. Autoactivation of ErbBs was assessed by Western blot of whole-cell lysates using mouse antibodies against either phosphotyrosine (to measure active ErbB1, ErbB2, and ErbB4) or pY1068 ErbB1 (to specifically assess active ErbB1). No inhibition by rebastinib was detected in five of five experiments (P = 0.000). (B) Lapatinib does not target activation of p38. DCDMLs were preincubated for 2 hours with DMSO or 4 µM lapatinib (lap) prior to a 90-minute incubation with 4 ng/mL TGFβ, 10 ng/mL FGF-2, or 3 µg/mL anisomycin. Whole-cell lysates were analyzed for active (pT180/pY182) p38 and total p38 by Western blotting. Typical of four experiments. (C) A single 1-hour treatment with 4 µM lapatinib combined with rebastinib blocks TGFβ-induced EMyT for 6 days. DCDMLs were treated for 1 hour with 0.5 µM rebastinib, 4 µM lapatinib, or both, after which the drug-containing medium was removed. Cells were then cultured for 6 days with TGFβ. Controls were pretreated with DMSO only and cultured with or without TGFβ. Western blots of whole-cell lysates were probed with antibodies against the indicated protein and results graphed as fold expression relative to DMSO, then TGFβ-treated controls. Asterisks indicate P ≤ 0.010 inhibition compared to control (n = 4).
PMC10337807
iovs-64-10-6-f012.jpg
0.448284
e8f99aeb8df84dbdaf76f8f7e3a7cc40
Study site.
PMC10337859
tjad033_fig1.jpg
0.409278
7907531683f442908a80225464cff85a
A) Launching tethered balloon. B) Fixing the sticky panels on the tethered string. C) Tethered balloon with 3 sticky panels at heights 9, 120, and 160 m agl. D) Sticky panel and open ended suspended falcon tubes containing mosquitoes exposed to high-altitude condition. E) Collecting and sorting captured insects.
PMC10337859
tjad033_fig2.jpg
0.382452
f0766bedb7f14540be3bf7fe686da2f3
Box plot of insects collected by collection panel height and types of insects. ANOVA post hoc Tukey HSD test by insect types, within each insect type groups not connected by the same letter indicates significantly different from each other.
PMC10337859
tjad033_fig3.jpg
0.442687
25e9aae274de4c8a8abb81a6f4c17b63
Phylogenetic tree based on barcoding region of COI gene of the specimens at high-altitude migration in western Kenya. A bootstrap resampling analysis was performed (1,000 replicates) to test tree reliability. The tree was rooted to 2 reference sequences (JN298324 and JN291712). Different color represents different genus.
PMC10337859
tjad033_fig4.jpg
0.411021
92b1abdfdc7e4ba09f22e287561c3d13
Flow chart.
PMC10338216
fendo-14-1191648-g001.jpg
0.458015
a1358f24b6ce4ec29300e5d6b2501558
ROC curve for serum P4 concentration as a predictor of pregnancy outcome up to week 12.
PMC10338216
fendo-14-1191648-g002.jpg
0.544105
6254000c59d24ce0a6ce2d65d0f8492d
Boxplot showing serum progesterone concentration (ng/mL) distribution on pregnancy test day in patients with miscarriage before week 12 and with ongoing pregnancy after week 12.
PMC10338216
fendo-14-1191648-g003.jpg
0.482245
f8d7cde0a70b4945b8d8f00586214584
Asyn biosensors expressing the O/M red-shifted FRET pair have improved FRET properties relative to the G/R while still maintaining low background signal and significantly improving the signal-to-noise (S/N). (a) Transient transfection of HEK293 cells demonstrates increased FRET from the mCyRFP1/mMaroon1 (OFP/MFP; O/M) biosensors relative to GFP/RFP (G/R) for both single-fusion and double-fusion aSyn FRET biosensors. (b) mCyRFP1 (OFP; O) can be excited at either 473-nm or 532-nm wavelength. The red-shifted 532-nm excitation results in significantly reduced background signal and corresponding increase in signal-to-noise.
PMC10338669
10.1177_17590914231184086-fig1.jpg
0.465121
75819f7c767d4ba1ade48e7ca5a5f7cf
Characterization of aSyn O/M biosensor background. Transient transfection of iaSyn-O donor-only biosensor cells, with MFP (M) or aSyn-M at two concentrations, illustrates a +10-fold increase of FRET signal for the aSyn-M biosensor relative to M only and is confirmation that the FRET signal is due to aSyn conformation and/or oligomerization and not the result of nonspecific interactions between OFP and MFP. Data are mean and SEM from N = 3 experiments with 5 replicates per experiment. One-way ANOVA of N = 3 independent experiments, ****p < .001.
PMC10338669
10.1177_17590914231184086-fig2.jpg
0.406504
c368d5ed4f0a4439ad89e9bbc2a26769
HTS for inducible aSyn O/M double-fusion biosensor. (a) Baseline FLT and FRET measurements from control plates are used to determine CV and confirm FLT-FRET signal prior to each replicate HTS. (b) Screens of the 2682 compound SELLECK library were performed in triplicate and resulted in 36 reproducible hits (red) at a ±4SD threshold. Data are mean and SEM from N = 3 HTS replicates.
PMC10338669
10.1177_17590914231184086-fig3.jpg
0.419136
63bbeb1be21e4de9b7ae8f4e92212e70
FRET dose response summary. Hit compounds were evaluated in an 8-point dose response (0.001–50 μM) with both the iaSynO (donor-only, D) and iO-aSyn-M (donor–acceptor, DA) cellular biosensors. The 25 different compounds ΔFLT response at 10 μM in the iO-aSyn-M biosensor are broken down as compounds that (a) produce a positive ΔFLT (red bars), (b) a large magnitude negative ΔFLT (blue bars), and (c) a small negative ΔFLT (blue bars). (d) An example FLT-FRET CRC for iO-aSyn-M (red) and iaSyn-O (D, green) with all compound CRC presented in Supplemental Figures S5 and S6. The difference between donor–acceptor and donor-only signal at 10 μM drug for (e) compounds with positive ΔΔFLT values (e.g., stronger DA (iO-aSyn-M) effect relative to D (iaSyn-O)) and (f) compounds with a negative ΔΔFLT (D response is greater than DA). Compounds with an overall positive ΔFLT (a) are in red and negative ΔFLT (b and c) are in blue. Data are mean and SEM from N = 3 experiments; with 4 replicate wells per experimental condition. One-way ANOVA statistical analysis with, nonsignificant (ns), *p < .05, **p < .01, ***p < .005, and ****p < .001.
PMC10338669
10.1177_17590914231184086-fig4.jpg
0.41664
cd1511fd794f4f2fa00eabf61322569f
Proanthocyanidins and casanthranol rescue PFF induced cellular toxicity. (a) N2a cells have a robust MTT response, with an approximate 40% reduction, due to 1 μg/ml PFF treatment that is unaffected by treatment with vehicle DMSO. (b) EGCG (control) and all 25 hit compounds with FLT-FRET dose response were evaluated at 1 μM with (red) or without (blue) PFF treatment to determine compounds that both rescued the PFF induced deficit and had little to no effect on baseline cells. Three compounds, proanthocyanidins, casanthranol, and rifapentine (in addition to EGCG) had a significant rescue. (c) MTT dose response curves for each compound with PFF treatment. Supplemental Figure S7 presents the compound dose response for both with and without PFF as well as for Rifapentine, which demonstrated little to no concentration dependent effects. Data are mean and SEM from N = 3 experiments; with 4 replicates per experiment.
PMC10338669
10.1177_17590914231184086-fig5.jpg
0.44895
8f1ce1da6dee4a9396c4d61f2b34b296
Thiot fibrillization extent. All 25 compounds with FLT-FRET dose response plus the control EGCG were tested in a seeded ThioT aggregation assay. (a) A representative ThioT trace showing vehicle (DMSO, green), hit compounds EGCG, proanthocyanidins, casanthranol, (inhibitors of aggregation), and Paroxetine HCl (compound with no effect, purple). Inset is a magnification of the dashed box showing rapid inhibition by EGCG and proanthocyanidins at early time points. (b and c) In total, 18 compounds resulted in significant attenuation of aSyn seeded fibrillization (1 at p < .05; 1 at p < .005; and 16 at p < .001). Full kinetic traces for each hit are presented in Supplemental Figure S10. Data represents mean fibrillization extent and SEM from N = 2 independent experiments with three replicate wells per experiment.
PMC10338669
10.1177_17590914231184086-fig6.jpg
0.422607
1999a719298e46278b60f588bea2c536
New methods for HCC nanotherapy based on EVs. The nine kinds of new methods for HCC nanotherapy based on EVs were summarized. These EVs loaded with responding drugs could significantly inhibit cell proliferation, invasion, and migration and induce cell apoptosis and cell cycle arrest. As a result, HCC development was significantly suppressed.
PMC10338921
fbioe-11-1215518-g001.jpg
0.456446
f692f68653bb4de1910d144303f8006c
Results of the paper selection flowchart.
PMC10338978
gr1.jpg
0.436929
bb948310b66f4a90a12cbe5de64471c6
Distribution of Outcomes by regions and types of technology adopted.
PMC10338978
gr2a.jpg
0.402119
e2adbe9e1d184eef9ffd6219e24e04b1
Distribution of the 25 percentile values of outcomes and total values of the four explanatory variables by regions and technology type.
PMC10338978
gr2b.jpg
0.41442
c67f4b69e8bc4888938af00ace03219f
Distribution of the explanatory variables by regions and technology type.
PMC10338978
gr2c.jpg
0.428734
0d81900f9c7c482caa778cd7d39f288f
Funnel plot of Income effect size against inverse of logsqsampleSource: Authors' computations.
PMC10338978
gr3a.jpg
0.39914
204e98d1561d4a068d8b8f5f1a3a08bd
Funnel plot of food security effect size against inverse of logsqsampleSource: Authors' computations.
PMC10338978
gr3b.jpg
0.447762
9ee3f7768b7346e199287d1f611cb0b9
Funnel plot of poverty index effect size against inverse of logsqsampleSource: Authors' computations.
PMC10338978
gr3c.jpg
0.392054
72f36eeb44aa4b1ea1014d05aa318439
Study design. Recruitment and elimination of enrolled sepsis patients.
PMC10339024
gr1.jpg
0.438482
5ceb0d2af9fe4512b0c01ba4be93b916
mRNA sequencing of PBMCs from sepsis patients at the early stage (Volunteer n = 7, Survival n = 10, Death n = 4). A Sample correlation via PCA plot. B Bar chart and volcano plot showed a total of 2568 significant DEGs between survival and death groups. C KEGG pathway function enrichment of the screened DEGs (p < 0.05). D GESA indicated that genesets of cell necrosis, necroptosis, and apoptosis were significantly enhanced in the sepsis group (p < 0.05).
PMC10339024
gr2.jpg
0.379325
fed61d44cace483c8da25ab7779a7ff4
MicroRNA sequencing of PBMCs from sepsis patients at the early stage (Volunteer n = 5, Survival n = 9, Death n = 3). A Sample correlation between groups. B Bar chart and volcano plot showed 516 significant DE microRNAs between survival and death groups. C KEGG pathway functional enrichment analysis of the screened DE microRNAs (p < 0.05).
PMC10339024
gr3.jpg
0.442426
35adb88df0a64b628cefc0384d206800
Cell apoptosis and morphological changes of cell death pattern in PBMCs from sepsis patients and healthy volunteers. A Flow cytometry of PBMCs showing cell apoptosis and necrosis rate. B Electron microscopy images of PBMCs in sepsis patients from survival and death groups (SEM, scale bar = 25 μm; TEM, scale bar = 25 and 10 μm). C Representative electron microscope images of PBMCs showing typical cell death morphology of pyroptosis, apoptosis, autophagy, and ferroptosis in death group. (SEM, scale bar = 50 and 25 μm; TEM, scale bar = 25 and 10 μm). Red arrow: pore formation; Red star: bulges; Yellow arrow: autolysosomes; Black arrow: blurred nuclear membrane; Purple arrow: autophagosomes; Blue arrow: mitochondrial pyknosis. D Western blotting of several key molecules related to cell apoptosis and pyroptosis in PBMCs of sepsis patients. *p < 0.05, **p < 0.01, ns = no significance. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
PMC10339024
gr4.jpg
0.512913
3b6214d4246c4d98933c8248b0e9642c
Plasma levels of inflammatory factors and key molecules involved in cell death pathways in sepsis patients (Volunteer n = 6, Survival n = 15, Death n = 13). A Luminex assay showed the levels of inflammatory factors TNF-α, IL-6, IL-1β, and chemokine CXCL1 between groups. B ELISA results showed the plasma levels of CASP 1, CASP 8, GSDMD, NFKBIA, BID, BAX, BCL2L1, and BCL2 between groups. *p < 0.05, **p < 0.01, ns = no significance.
PMC10339024
gr5.jpg
0.397701
5b29cd6ab3b14b30bda3437969f2ba84
Single cell sequencing of PBMCs from healthy volunteers and sepsis (n = 3). A Sample cell annotation showed mainly five types of immune cells. B The number of significant DEGs of the 5 immune cells between volunteer and sepsis. C Volcanic maps of differential gene distribution between volunteer and sepsis in monocyte, neutrophil, T cell and NK cell, and B cell. D KEGG enrichment pathway with significant differences in the four immune cells in disease state (p < 0.05).
PMC10339024
gr6.jpg
0.465137
2ae3f79db21c40799da76057657ff009
Single-cell RNA sequencing revealed the changes of cell death patterns in various immune cells in sepsis. A Expression difference of the key molecules of five cell death signaling (necroptosis, pyroptosis, apoptosis, autophagy, and ferroptosis) in the four immune cells in sepsis at the early stage. B Expression changes of the biomarkers related to the five cell death signaling in immune cells (p < 0.05). C Comparison of the significant degree of functional changes in different cell death pathways of the four immune cells in sepsis at the early stage. Bubble plots were drawn according to the percentage of significant DEGs in the related GO term.
PMC10339024
gr7.jpg
0.481505
2f55ed7721f54d3da2d8adc0d687e2e9
Schematic depiction of a structural–functional framework of ethics in which deontological and rule utilitarian aspects constitute the professional structural elements, and functional articulation is engaged through act utility and agentic decisions and action(s) within the context(s) of a particular collective (Adapted from: Applewhite, Giordano, Girton, Procaccino [35], with permission)
PMC10339555
13010_2023_135_Fig1_HTML.jpg
0.375728
f9c01aacad344785ae93f5e8bf541915
Diagrammatic representation of the inter-related and expanding aspects of individual agents’ lifeworlds, and phenomenological subjectivity contributory to the agentic interactions and act utility, and the rule utility and deontology of the collective as served by the disciplines and practices of health promotion (see text for detailed explanation)
PMC10339555
13010_2023_135_Fig2_HTML.jpg
0.47614
187ccf3fe4a64531a22b414561a9ec46
Causes of bronchopleural fistula of study participants of the Prevalence and Treatment Outcome of Bronchopleural Fistula
PMC10339635
13019_2023_2325_Fig1_HTML.jpg
0.427167
8dc827a73468478ab4ecd57e7b39a16c
Type of resection for post resectional BPF of study participants of the Prevalence and Treatment Outcome of Bronchopleural Fistula
PMC10339635
13019_2023_2325_Fig2_HTML.jpg
0.523695
0aa9a306f2784b0ba5ce80e3aeae2e49
Types of diagnosis of study the participants of prevalence and treatment outcome of broncho pleural fistula
PMC10339635
13019_2023_2325_Fig3_HTML.jpg
0.462004
f1e0dd7473d94055a740d7d1c76552f5
Treatment outcome of study participants of prevalence and treatment outcome of broncho pleural fistula
PMC10339635
13019_2023_2325_Fig4_HTML.jpg
0.480306
0752bfef8c5d4d14a6fbd31919339322
The pipeline for the HEMnet.
PMC10339739
fphar-14-1210667-g001.jpg
0.535223
58c9977a580a4f64830bc68563cc2c61
The visualized clustering result of HEMnet. The correspondence between the C_0-C_7 clusters in the figure and the H1-H8 subgroups in this paper is as follows: C_0 = H5, C_1 = H2, C_2 = H1, C_3 = H6, C_4 = H4, C_5 = H8, C_6 = H7, C_7 = H3. This picture was to reduce the dimensionality of the patient’s characterization vector to a two-dimensional vector for display. So the x-axis and y-axis represent the patient’s characterization vector, and the closer the two points are, the closer the patient’s characteristics are.
PMC10339739
fphar-14-1210667-g002.jpg
0.513203
3585b58349dc492e89f71d8dfb42179c
Relationship of variables in the Mendelian randomization. (A) between exposure and outcome; (B) among exposure, mediator, and outcome in the Mendelian randomization.
PMC10340577
healthcare-11-01889-g001.jpg