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0.403462 | 2e0dcd4ded724856ad4107986499260c | Confocal imaging of S. cerevisiae incubated with PHMB. S. cerevisiae were treated with PHMB-rhodamine (4 µg/ml) for 4 h at room temp. Cells were counterstained with DAPI and Con A-Alexa Fluor 488 and imaged by confocal microscopy. Top panels: Confocal images before (left) and after (right) image processing by SRRF. Bottom-left panel: Cross-sectional view of confocal Z-stacks of S. cerevisiae (59 slices). Images show PHMB-rhodamine accumulation within the cytosol and co-localisation with the nucleus (DAPI). The graph confirms high intracellular accumulation of PHMB-rhodamine. | PMC9935507 | 41598_2023_29756_Fig6_HTML.jpg |
0.416896 | 0159fb3812b345f5ac4aa8ed0f3dcfb4 | Confocal imaging of C. albicans incubated with PHMB. C. albicans were treated with PHMB-rhodamine (4 µg/ml) for 4 h at room temp. Cells were counterstained with DAPI and Con A-Alexa Fluor 488 and imaged by confocal microscopy. Top panels: Confocal images before (left) and after (right) image processing by SRRF. Bottom-left panel: Cross-sectional view of confocal Z-stacks of C. albicans (35 slices). Images show PHMB-rhodamine accumulation within the cytosol and co-localisation with the nucleus (DAPI). The graph confirms high intracellular accumulation of PHMB-rhodamine. | PMC9935507 | 41598_2023_29756_Fig7_HTML.jpg |
0.44371 | 1b161bd0ebe84805a29aed1f3c868358 | Schematic of varying susceptibilities of yeasts and filamentous fungi to PHMB. (A) Yeast cells are more susceptible to PHMB attack as the cell wall is anionic, enabling for the polymer’s adhesion. In addition, during budding, the β-(1,3)-glucan and chitin matrix are exposed which could facilitate PHMB cell entry. (B) Filamentous fungi appear to be less susceptible to PHMB attack due to the presence of the extracellular matrix (ECM). The ECM confers biofilm like protection to “mop up” PHMB by binding the polymer effectively; reducing its local concentration at the fungal cell membrane. PHMB penetration and hyphae/conidiophore accessibility. However, α-1,3 in the cell walls is exposed during conidia germination which increases the negative charge of conidia, thus increasing the cidal activity of cationic PHMB. | PMC9935507 | 41598_2023_29756_Fig8_HTML.jpg |
0.445494 | 75c18c2f421e468f8a44dfa2b7524566 | Flow diagram of study population selection. | PMC9935691 | fnut-10-1081896-g0001.jpg |
0.405714 | 50c744f0af824432aac5a3401d2727aa | The non-linear associations between serum 25(OH)D concentrations and height growth velocity by sex, age, weight, and sexual maturity status. (A–D) Show the results stratified by sex, age, weight status, and sexual maturity status, respectively. The models are adjusted for age, sex (except for stratified analysis), family income, smoking, drinking, bean-curd or dairy products, aquatic foods, fruits and vegetables, meat products, term birth, birth weight, exclusive breastfeeding, usage of vitamin D / calcium supplements in baseline and follow-up, physical activity, serum calcium, BMI, parents' height, sexual maturity (except for stratified analysis), and baseline height. | PMC9935691 | fnut-10-1081896-g0002.jpg |
0.484872 | e43fedc5d32a413d8f3014a87817cbc3 | The non-linear associations between serum 25(OH)D concentrations and height growth velocity Z-score by sex, age weight, and sexual maturity status. (A–D) Show the results stratified by sex, age, weight status, and sexual maturity status, respectively. The models are adjusted for age, sex (except for stratified analysis), family income, smoking, drinking, bean-curd or dairy products, aquatic foods, fruits and vegetables, meat products, term birth, birth weight, exclusive breastfeeding, usage of vitamin D / calcium supplements in baseline and follow-up, physical activity, serum calcium, BMI, parents' height, sexual maturity (except for stratified analysis), and baseline height. | PMC9935691 | fnut-10-1081896-g0003.jpg |
0.392911 | f96faac123c04350af2b09b5d05d8a0a | The estimated marginal mean of height growth velocity in different vitamin D status groups by sex, age, weight, and sexual maturity status. *0.01 ≤ P < 0.05; **0.001 ≤ P < 0.01; ***P < 0.001; NS, not significant. The models are adjusted for age, sex (except for stratified analysis), family income, smoking, drinking, bean-curd or dairy products, aquatic foods, fruits and vegetables, meat products, term birth, birth weight, exclusive breastfeeding, usage of vitamin D / calcium supplements in baseline and follow-up, physical activity, serum calcium, BMI, parents' height, sexual maturity (except for stratified analysis), and baseline height. | PMC9935691 | fnut-10-1081896-g0004.jpg |
0.448856 | 92662f5ab81341d79f61edb439b61ade | The estimated marginal mean of height growth velocity in different vitamin D status groups by sex across the weight status. *0.01 ≤ P < 0.05; **0.001 ≤ P < 0.01; ***P < 0.001; NS, not significant. (A, B) stand for boys and girls, respectively. The models are adjusted for age, family income, smoking, drinking, bean-curd or dairy products, aquatic foods, fruits and vegetables, meat products, term birth, birth weight, exclusive breastfeeding, usage of vitamin D / calcium supplements in baseline and follow-up, physical activity, serum calcium, BMI, parents' height, sexual maturity (except for stratified analysis), and baseline height. | PMC9935691 | fnut-10-1081896-g0005.jpg |
0.460643 | c1c114ac91c34eadbfdb951d391429e1 | The non-linear associations of serum 25(OH)D concentrations with the incidence of low bone mineral density by sex, age, weight, and sexual maturity status. (A–D) Show the results stratified by sex, age, weight status, and sexual maturity status, respectively. The models are adjusted for age, sex (except for stratified analysis), family income, smoking, drinking, bean-curd or dairy products, aquatic foods, fruits and vegetables, meat products, term birth, birth weight, exclusive breastfeeding, usage of vitamin D / calcium supplements in baseline and follow-up, physical activity, serum calcium, BMI, parents' height, sexual maturity (except for stratified analysis), and baseline calcaneal speed of sound. | PMC9935691 | fnut-10-1081896-g0006.jpg |
0.464954 | a40556bceddd4867ba7fec2d1c4f8d4d | Effect of different amounts of nitrogen fertilization on the total phenolic (A), flavonoids (B), β-sitosterol (C), stigmasterol (D), DPPH (E), and OH (F) content of brown rice (lowercase represent differences between groups, P < 0.05). | PMC9936061 | fnut-10-1071874-g001.jpg |
0.386729 | 3e0598effc7d40cfbec9b2807876f16a | Effect of different amounts of nitrogen fertilization on phenolic composition of brown rice. | PMC9936061 | fnut-10-1071874-g002.jpg |
0.463632 | 0e1c605b0f4047b089d0b8867921ef92 | The status of m6A modification on PRV transcripts. For PRV (MOI = 1) infection, total RNA of PK15 cells was harvested at 24 hpi. (A) Distribution pattern of m6A peaks on PRV transcripts was analyzed based on the MeRIP-seq data (NCBI #GSE209949). (B) Density of m6A peaks on PRV transcripts. (C) Transcriptome-wide mapping to PRV m6A IP reads, input reads and m6A peaks based on MeRIP-seq. The m6A peaks of PRV transcripts were indicated as blue blocks. The input and PRV IP coverage were indicated with green and red bars, respectively. All genes were shown and overlaid as black arrows in the bottom track. (D) Motif analysis to identify consensus sequences for PRV transcripts. The most prominent motif was shown. | PMC9936159 | fmicb-14-1087484-g001.jpg |
0.463151 | a4c16021e3494679979947eebcfcc6dd | PRV infection affected m6A level and expression of m6A regulators in PK15 cells. (A) Total RNA was extracted from PRV-infected and uninfected PK15 cells at different time periods, and the m6A level of RNA was quantified by ELISA. (B) PK15 cells were infected with PRV for 12 and 24 h. m6A regulators were assessed by immunoblotting analysis. β-actin was used as a loading control. (C) RT-qPCR analysis was used to evaluate the mRNA levels of m6A regulators at different times of PRV infection. *p < 0.05, **p < 0.01, ***p < 0.001. | PMC9936159 | fmicb-14-1087484-g002.jpg |
0.470217 | 1aefed6fc9e242aeb2520c05d304b53a | PRV infection influenced m6A methylome of PK15 cell transcripts. (A) MeRIP-seq of PK15 cells which were infected by PRV (or uninfected as a negative control, i.e., “Mock”) for 24 h. Density of m6A peaks on PRV-infected and uninfected cellular transcripts. The m6A peaks information was included in our MeRIP-seq data (NCBI #GSE209949). (B) Distribution pattern of m6A peaks on PRV-infected (right) and uninfected (left) cellular transcripts. (C) Volcanic map of m6A peaks (left was downregulated, right was upregulated by PRV infection). There were 1,286 significantly down-regulated m6A peaks, and 260 significantly up-regulated m6A peaks induced by PRV infection. (D) GO enrichment analysis of pathways enriched in the hypomethylated (left) and hypermethylated (right) genes (The top 30 enriched pathways are shown.). (E) KEGG analysis of pathways enriched in the hypomethylated genes (left, the top 20 enriched pathways are shown.) and the hypermethylated genes (right, the top 10 enriched pathways are shown.). (F) Motif analysis to identify consensus sequences for PRV-infected (right) and uninfected (left) PK15 cells transcripts. The most prominent motif for each was shown. | PMC9936159 | fmicb-14-1087484-g003.jpg |
0.452841 | 74a5abeab89d4b3ead7ffc407a378802 | Depletion of methyltransferases METTL3 and METTL14 suppressed PRV replication. (A) PK15 cells were transfected with the specified siRNAs (60 nM) for 24 h. METTL3 and METTL14 were assessed by immunoblotting analysis. β-actin was used as a loading control. (B) PK15 cells were transfected with the specified siRNAs and were mock transfected (MT) with transfection reagent alone for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 12 and 24 h. PRV DNA copies were evaluated by RT-qPCR analysis. (C) PK15 cells were transfected with the specified siRNAs and were mock transfected (MT) with transfection reagent alone for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 24 h. PRV titers were assessed by TCID50 analysis. (D) PK15 cells were transfected with the indicated siRNAs and were mock transfected (MT) with transfection reagent alone for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 24 h. PRV gE was assessed by immunoblotting analysis. β-actin was used as a loading control. *p < 0.05, **p < 0.01, ***p < 0.001. | PMC9936159 | fmicb-14-1087484-g004.jpg |
0.436848 | aa514f8f3e06472185f65d2ebb6f292f | Overexpression of METTL14 promoted PRV proliferation. (A) PK15 cells were transfected with pEGFP-C3 and pEGFP-C3-METTL14 (2.5 μg) for 6 h, and then cultured with fresh maintenance medium for 24 h. METTL14 was assessed by immunoblotting analysis. β-actin was used as a loading control. (B) PK15 cells were transfected with pEGFP-C3 and pEGFP-C3-METTL14 (2.5 μg) for 6 h, and then cultured with fresh maintenance medium for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 12 and 24 h. PRV DNA copies were evaluated by RT-qPCR analysis. (C) PK15 cells were transfected with pEGFP-C3 and pEGFP-C3-METTL14 (2.5 μg) for 6 h, and then cultured with fresh maintenance medium for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 24 h. PRV titers were assessed by TCID50 analysis. (D) PK15 cells were transfected with pEGFP-C3 and pEGFP-C3-METTL14 (2.5 μg) for 6 h, and then cultured with fresh maintenance medium for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 24 h. PRV gE was assessed by immunoblotting analysis. β-Actin was used as a loading control. *p < 0.05, **p < 0.01. | PMC9936159 | fmicb-14-1087484-g005.jpg |
0.422455 | 52c0aa5a7dc44b0ba5c94efeb636a975 | Demethylase FTO and ALKBH5 promoted PRV proliferation. (A) PK15 cells were transfected with the specified siRNAs (60 nM) for 24 h. FTO and ALKBH5 were assessed by immunoblotting analysis. β-actin was used as a loading control. (B) PK15 cells were transfected with the specified siRNAs and were mock transfected (MT) with transfection reagent alone for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 12 and 24 h. PRV DNA copies were evaluated by RT-qPCR analysis. (C) PK15 cells were transfected with the indicated siRNAs and were mock transfected (MT) with transfection reagent alone for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 24 h. PRV titers were assessed by TCID50 analysis. (D) PK15 cells were transfected with the indicated siRNAs and were mock transfected (MT) with transfection reagent alone for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 24 h. PRV gE was assessed by immunoblotting analysis. β-actin was used as a loading control. *p < 0.05, **p < 0.01, ***p < 0.001. | PMC9936159 | fmicb-14-1087484-g006.jpg |
0.408504 | a52afed66aa74fdab7123bcca6afe568 | Specific recognition protein YTHDF2 and YTHDF3 inhibited PRV proliferation. (A) PK15 cells were transfected with the specified siRNAs (60 nM) for 24 h. YTHDF1, YTHDF2 and YTHDF3 were assessed by immunoblotting analysis. β-actin was used as a loading control. (B) PK15 cells were transfected with the specified siRNAs and were mock transfected (MT) with transfection reagent alone for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 12 and 24 h. PRV DNA copies were evaluated by RT-qPCR analysis. (C) PK15 cells were transfected with the indicated siRNAs and were mock transfected (MT) with transfection reagent alone for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 24 h. PRV titers were assessed by TCID50 analysis. (D) PK15 cells were transfected with the specified siRNAs and were mock transfected (MT) with transfection reagent alone for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.1) for 24 h. PRV gE was assessed by immunoblotting analysis. β-actin was used as a loading control. *p < 0.05, **p < 0.01. | PMC9936159 | fmicb-14-1087484-g007.jpg |
0.434264 | d1e9dc4f646442ce8c34ffc192a1fad0 | Inhibition of PRV infection by methylation inhibitor 3-deazaadenosine (3-DAA). (A) PK15 cells were treated with the specified concentrations of 3-DAA for 24 h. m6A level quantification was performed by ELISA assays. (B) PK15 cells were treated with the specified concentrations of 3-DAA for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.01) for 24 h, and images of cytopathic effects were recorded (200×). (C) PK15 cells were treated with the specified concentrations of 3-DAA for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.01) for 24 h. PRV DNA copies were evaluated by RT-qPCR analysis. (D) PK15 cells were treated with the specified concentrations of 3-DAA for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.01) for 24 h. PRV titers were assessed by TCID50 analysis. (E) PK15 cells were treated with the specified concentrations of 3-DAA for 24 h. PK15 cells were infected with PRV-FJ01 (MOI = 0.01) for 24 h. PRV gE was assessed by immunoblotting analysis. β-actin was used as a loading control. *p < 0.05, **p < 0.01, ***p < 0.001. | PMC9936159 | fmicb-14-1087484-g008.jpg |
0.502147 | 9f4284b8723b43fd84ee0cdb5b0c462e | Schematic representation of m6A regulation of PRV replication. Upon viral infection, virions first attach to the host cell surface, subsequently enter the cell, and finally the viral genome is released into the host cell nucleus. In the nucleus, the methyltransferases METTL3/14 co-induce the methylation of multiple viral mRNAs, whereas the demethylases FTO and ALKBH5 regulate the demethylation process. The methylation of viral mRNA promotes its own nuclear export. In the cytoplasm, YTHDF1 and YTHDF3 synergistically promote mRNA stability and translation, and YTHDF3 cooperates with YTHDF2 to promote mRNA degradation. Ultimately, the expression of PRV proteins is promoted by the cooperation of YTHDF1/2/3, and these products are transported back into the nucleus, where they complete the viral nucleocapsid assembly and eventually release more viral particles. | PMC9936159 | fmicb-14-1087484-g009.jpg |
0.517038 | d4c392aa624643c78db2536822e812ca | Rate of decline in FVC (mL/year) over 52 weeks (A) in all subjects and in subjects with risk factors for rapid decline in FVC at baseline and (B) in all subjects and in subjects with dcSSc and risk factors for rapid decline in FVC at baseline in the SENSCIS trial. *C reactive protein ≥6 mg/L and/or platelets ≥330×109/L. dcSSc, diffuse cutaneous systemic sclerosis; FVC, forced vital capacity; mRSS, modified Rodnan skin score. | PMC9936273 | rmdopen-2022-002859f01.jpg |
0.422879 | 4158dd78c7d445208ff27de55e1d1dc2 | Timeline showing ferroptosis-related key discoveries. | PMC9936329 | fcell-11-1112751-g001.jpg |
0.46286 | 97924ac6580f41dfbe25233892592df7 | A schematic illustration showing the main mechanisms of the ferroptosis process. The green arrows represent three antioxidant systems: Xc-GSH-GPX4 pathway, FSP1-CoQ10-NAD(P)H pathway, and GCH1-BH4 pathway. Iron metabolism disturbance and polyunsaturated fatty acids (PUFA) peroxidation, marked with red arrows, significantly contribute to cellular ferroptosis. | PMC9936329 | fcell-11-1112751-g002.jpg |
0.423985 | 2e996a1722ec4885ac4c77ba725ae392 | Schematic representation of ferroptosis-associated biomarkers in four different musculoskeletal diseases. The profiles of ferroptosis-related molecules have been proven to be well‐established mediators affecting musculoskeletal disease progression and therapeutic response. The organic hallmarks present the biological functions of musculoskeletal diseases, including inflammation, cell death, cell migration, treatment resistance, etc. | PMC9936329 | fcell-11-1112751-g003.jpg |
0.434607 | 306cf93d28b44248aa439032f95b957f | Proportion of times that children selected the Canadian English speaker in Accent Group A (Canadian English vs. British English and Canadian English vs. Dutch-accented English) and Accent Group B (Canadian English vs. Australian English and Canadian English vs. French-accented English). Higher bars indicate a stronger “preference” to select the Canadian speaker. The red line indicates chance performance and error bars represent 95% confidence intervals.**p < .01. | PMC9936436 | 10.1177_17470218221094312-fig1.jpg |
0.452026 | db2edc77e68d4dac9c410120bfafb5fe | Mean teacher ratings for each pair of teachers on a 5-point rating scale from 1 (very bad) to 5 (very good). Error bars represent 95% confidence intervals. | PMC9936436 | 10.1177_17470218221094312-fig2.jpg |
0.450087 | 3b24b5b2daf344c58c814a7f40ed8197 | Mean teacher ratings for male and female teachers by male and female participants on a 5-point rating scale from 1 (very bad) to 5 (very good). Error bars represent 95% confidence intervals. | PMC9936436 | 10.1177_17470218221094312-fig3.jpg |
0.494485 | bf17ec8b990a4dcaa9659df0cf2e17bb | Identification of molecular subtypes based on oxidative stress- (OS-) related genes. (a) Forest plot of prognostic significant OS-related genes. (b) GSE39582 cohort sample cumulative distribution function (CDF) curve. (c) GSE39582 cohort sample CDF delta area curve; delta area curve of consensus clustering, indicating the relative change in area under the cumulative distribution function (CDF) curve for each category number k compared with k–1. The horizontal axis represents the category number k, and the vertical axis represents the relative change in area under CDF curve. (d) The heat map shows the clustering of samples when k = 4. (e) The Kaplan-Meier curve shows the overall survival prognosis of the four molecular subtypes. (f) The Kaplan-Meier curve shows the relapse-free survival prognosis of the four molecular subtypes. (g) The heat map showing the expression level of OS-related genes in different molecular subtypes of GSE39582. (h) The violin plot showing differences in “oxidative stress ssGSEA scores” between different molecular subtypes in the GSE39582. | PMC9936508 | OMCL2023-5385742.001.jpg |
0.467339 | c1435018a9434b3697ae6138b8c94547 | Clinical features among molecular subtypes. (a) Mismatch repair (MMR) status distribution in different clinical features in the GSE39582 cohort. (b) CpG island methylation phenotype (CIMP) status distribution in different clinical features in the GSE39582 cohort. (c) Chromosomal instability (CIN) status distribution in different clinical features in the GSE39582 cohort. (d) Comparative analysis of molecular subtypes in this study and Masiero et al. [24]. | PMC9936508 | OMCL2023-5385742.002.jpg |
0.450458 | a4da1d6396614808958795f8cd46b7e0 | Immune features among molecular subtypes. (a) Differences in 22 immune cell scores between different molecular subtypes in GSE39582 cohort. (b) Differences in immune infiltration among different molecular subtypes in GSE39582 cohort. (c) Inflammation-related gene cluster score differences between different molecular subtypes in GSE39582 cohort. (d–f) Differences in ferroptosis scores, autophagy scores, and angiogenesis scores between different molecular subtypes, respectively. | PMC9936508 | OMCL2023-5385742.003.jpg |
0.395903 | d929dad4eb274a858f1be2c4e997ccce | Identification of OS-related prognostic genes. (a) Univariate Cox analysis of DEGs and a total of 53 promising candidates were identified. Red means risk, and blue means protective. (b) The trajectory of each promising candidate genes as a function of lambda. (c) Confidence interval for lambda. (d) Distribution of LASSO coefficients for six genes. | PMC9936508 | OMCL2023-5385742.004.jpg |
0.395355 | 0feaf70b0d4b4aec9a97ad44a7d24ac4 | RiskScore model establishment and effectiveness evaluation. (a) The distribution of RiskScore in the GSE39582 cohort: the top panel shows the RiskScore distribution, the middle panel shows the corresponding survival status of each patient, and the bottom panel shows the expression of six OS-related prognostic genes in each patient. (b) ROC curve was used to evaluate the predictive efficacy of the RiskScore model. (c) The Kaplan-Meier survival analysis showing the distribution of survival for different RiskScore groups. (d–i) ROC curve and the Kaplan-Meier survival analysis of different RiskScore group: (d, e) TCGA-COAD cohort; (f, g) TCGA-READ cohort; (h, i) GSE87211 cohort. | PMC9936508 | OMCL2023-5385742.005.jpg |
0.502035 | 8636fa8dc9184d20a56cd1aaefaec8eb | Relationship between RiskScore and immune cell infiltration. (a) Proportion of immune cell components in the GSE39582 cohort. (b) The proportion of immune cell components assessed by ESTIMATE in the GSE39582 cohort. (c) The heat map shows the correlation analysis of 22 immune cells and RiskScore in the GSE39582 cohort. (d) The heat map shows the correlation analysis between signaling pathways and RiskScore in the GSE39582 cohort (r > 0.3). (e) The heat map shows the correlation analysis between RiskScore and inflammatory activities in the GSE39582 cohort. (f) The scatter plot shows the correlation between RiskScore and “oxidative stress ssGSEA scores” in the GSE39582 cohort. | PMC9936508 | OMCL2023-5385742.006.jpg |
0.484 | 3fc1075850e549e98dab5208a5251175 | The relationship between immunotherapy/chemotherapy and RiskScore. (a) Box plots showing immune checkpoint expression between different RiskScore groups in the GSE39582 cohort. (b) The difference of tumor mutation burden in the high and low groups. (c) TIDE analysis in the high and low group. (d) The box plots showing IC50 for gefitinib, thapsigargin, vinorelbine, 5-fluorouracil, cisplatin, and paclitaxel in GSE39582 cohort. | PMC9936508 | OMCL2023-5385742.007.jpg |
0.434653 | 03b399c7d78a48b98678ad07b5d35457 | RiskScore incorporates clinicopathological features to further improve prognostic models. (a) Univariate Cox analysis of RiskScore and clinicopathological characteristics. (b) Multivariate Cox analysis of RiskScore and clinicopathological characteristics. (c) Nomogram showing the relationship between RiskScore and clinicopathological characteristics. (d) Calibration curves for 1, 3, and 5 years of nomogram. (e) Decision curve for nomogram. | PMC9936508 | OMCL2023-5385742.008.jpg |
0.399663 | ad055abcc0bb41599a9b1287a23bcc33 | Subcellular location of GFP-fused SsBBX13 protein in Nicotiana benthamiana leaf epidermal cells. The SsBBX13-GFP or GFP was transiently co-expressed with the nuclear localization marker NLS-mKATE by Agrobacterium. Images of epidermal cells were captured using green fluorescence, mKATE fluorescence, chlorophyll fluorescence, visible light, and merged light. Confocal laser microscopy scanning was carried out 48 h after dark culture with a Zeiss LSM 800. Scale bars was 20 μm | PMC9936747 | 12864_2023_9185_Fig1_HTML.jpg |
0.479364 | 1dccd6ae147c467abc26c0c591b49c12 | Phylogenetic tree of BBX peptide sequences of S. spontaneum, A. thaliana, O. sativa, S. bicolor, and Z. mays. Sequences were aligned using ClustalW software and the subsequent phylogenetic tree was constructed applying the Neighbor-joining algorithm by MEGA X software, with 1000 bootstrap replicates. Bootstrap values below 70% are not shown. Roman numerals (I–V) represent different gene clusters. The genes from each group are differentiated by color. Black solid triangles are the new BBXs found in Saccharum | PMC9936747 | 12864_2023_9185_Fig2_HTML.jpg |
0.413973 | 2e0836f5bf7b4c00a27553ba74425c45 | Phylogenetic tree (a), conserved domain (b), conserved motifs (c), and exon/intron organization (d) of BBX gene family from S. spontaneum. Protein sequences were aligned by ClustalW and the tree was constructed by MEGA X software using the neighbor-joining method, with 1000 bootstrap replicates. Bootstrap values below 70% are not shown. Black solid triangles are the new BBXs found in Saccharum. The B-box domains and CCT domain are highlighted by green and yellow boxes, respectively. Motifs of each of the SsBBXs, and 10 different motifs, are each denoted by different colored boxes. Exons and introns are represented by yellow boxes and black lines, and untranslated (UTR) 5′ - and 3′ -regions are indicated by green boxes, respectively | PMC9936747 | 12864_2023_9185_Fig3_HTML.jpg |
0.470855 | ecf1a8b60ad44bad9d29490f0a7d5cd5 | Domain composition of SsBBX proteins. Multiple sequence alignments of the domains of the SsBBXs. Multiple sequence alignments of the B-box 1, B-box 2, and CCT domains are shown. The identical and similar conserved amino acids were represented by black and pink shaded, respectively | PMC9936747 | 12864_2023_9185_Fig4_HTML.jpg |
0.454636 | 19b0252af6924ce98e7a089abb562bcf | Collinearity relationships of BBX genes from S. spontaneum, O. sativa, S. bicolor, and Z. mays. BBX collinear gene pairs were mapped to their respective locus in their genome in a circular diagram. The chromosomes of S. spontaneum, O. sativa, S. bicolor, and Z. mays are indicated by boxes of different colors with the prefixes ‘Ss’, ‘Os’, ‘Sb’, and ‘Zm’, respectively. The numbers along each chromosome box represent the sequence length of the corresponding chromosome in mega-bases. Lines of different colors represent the duplication pairs of BBX genes | PMC9936747 | 12864_2023_9185_Fig5_HTML.jpg |
0.437164 | 32ab4b105c0340d58c2735d19a7311cc | Identification of cis-acting elements in all SsBBXs. a Four categories of cis-acting elements in the SsBBXs. Different colors and numbers of the heatmap box represented the number of different elements in these SsBBXs. Red indicates higher elements while blue indicates lower elements. b Histogram of the cis-acting elements in each SsBBX gene. c Pie charts of different sizes indicated the ratio of each promoter element in each category, respectively | PMC9936747 | 12864_2023_9185_Fig6_HTML.jpg |
0.372578 | 0e449acbf3c94ebb84ab2d3b55abb093 | The expression pattern of BBX genes based on log2-transformed FPKM values in three treatments. a Heatmap based on gene expression in different tissues at different stages in S. spontaneum and S. officinarum.b Heatmap based on gene expression across leaf gradients in S. spontaneum and S. officinarum. c&d) Heatmap based on gene expression during the diurnal cycles in S. spontaneum and S. officinarum. The heat map was plotted with the TBtools software (v1.098). Expression values were normalized to genes based on the average linkage algorithm. The scale bar represents the log2 normalized expression. Red indicates higher expression while blue indicates lower expression | PMC9936747 | 12864_2023_9185_Fig7_HTML.jpg |
0.392355 | d985f3acd7ba4d7ab74ccf01cc837bf4 | The expression pattern of BBX genes in Saccharum hybrid YT55 and YT00–236 under low-nitrogen stress conditions based on log2-transformed FPKM values (a) and verification of BBX1 and BBX13 expressions in root and leaf under low-nitrogen stress by RT-qPCR (b, c, d, and e). YT55 and YT00–236 seedlings were subjected to 100 mM nitrogen treatment, and samples were collected at 0, 6, 12, 24, 48, and 72 h after the treatment. The expression at 0 h was set to 1.0. Values are mean ± SD of three replicates | PMC9936747 | 12864_2023_9185_Fig8_HTML.jpg |
0.437243 | 48d084294eaf4982913f70a98c3a5f34 | Comparative genomics heatmap, amino acid sequence alignment, and phylogenetic tree of sinH sequence.(A) Pathotype, phylogroup, sequence types of distribution of sinH sequence. Heatmap showing nonpathogenic E. coli, ExPECs and InPECs. Columns are organized by pathotypes, and rows are organized first by phylogroups, then by sequence types. Each cell in the heatmap is colored based on percent nucleotide identity compared to the reference used to generate the alignments, and the black boxes indicate there is no sequence type (ST) present for the listed pathotype whereas white boxes indicate there is a sequence type but it does not contain a sinH homolog. (B) MAFFT alignment of the amino acid sequence of SinH. Alignment is annotated with phylogroup and sequence type. An identity histogram is shown at the top, and black represents amino acid differences from the majority consensus. (C) Consensus maximum-likelihood phylogenetic tree of SinH generated from alignment shown in Fig 1B using RAxML and rooted with Salmonella SinH. Branch labels indicate percentage support from 100 rapid bootstrap replicates. The consensus tree and alignment were annotated in BioRender. | PMC9937491 | ppat.1011082.g001.jpg |
0.430094 | c3c6b69478d54d21b60474fbcdcd7a4c | Structural alignment of predicted full-length SinH and expression and purification of SinH-based candidate antigens.Structural alignments were generated by Pairwise Structure Alignment webserver, and aligned structures were visualized using ChimeraX and annotated with BioRender. (A) Predicted structure of full-length SinH protein (excluding disordered residues 1 through 101) with four distinct domains (Translocation β-barrel transmembrane domain: purple, Ig-like domain-1: green, Ig-like domain-2: red, Ig-like domain-3 (Receptor binding domain): blue). (B) Alignment between transmembrane β-barrel domains of predicted SinH protein structure (blue) and transmembrane domains of Y. pseudotuberculosis invasin (PDB: 4E1T) (red, left) and EHEC intimin (PDB: 4E1S) (red, right). (C) Alignment between domain-1 of SinH (blue) and domain-3 of Y. pseudotuberculosis invasin (red). (D) Alignment between domain-2 of SinH (blue) and domain-3 of Y. pseudotuberculosis invasin (red). (E) Alignment between the receptor-binding domain (RBD) of SinH (blue) and Ig-like domain-1 of EHEC intimin (red, left) and Ig-like domain-4 of Y. pseudotuberculosis invasin (red, right). (F) Genes encoding SinH-based antigens (Ig-like domain-1,2,3 or Ig-like domain-3) were cloned from ExPEC ST131 strain JJ1887. SinH-based antigens were recombinantly expressed with a glutathione-S-transferase (GST) tag and purified using immobilized GST-affinity chromatography. Purified antigens were separated and analyzed by SDS-PAGE and stained with Coomassie blue stain buffer. Predicted sizes of tagged proteins are as follows: GST-SinH-3, 40 kDa; GST-SinH-123, 70 kDa. Circle symbols indicate the locations of the GST-SinH Domain-3 and GST-SinH Domain-123, respectively, for each individual gel. The SDS-PAGE were annotated in BioRender. | PMC9937491 | ppat.1011082.g002.jpg |
0.498055 | 15da14b5c24f4b99b999842b42aa68a4 | Assessment of the protective efficacy and immunogenicity of SinH-based vaccines against ExPEC sequence type 131 (ST131) bacteremia.(A) The vaccination scheme was used in this experiment. BALB/cJ, 6 weeks old, female mice were subcutaneously immunized with SinH-based antigens (SinH-3, SinH-123, N = 15) or GST alone (N = 15) and injected with an intraperitoneal (IP) injection of 5 × 107 CFU of different ExPEC ST131 strains (JJ1886, JJ2547, JJ2050). Organs were harvested and plated to determine bacteria levels. Serum was taken from individual mice after immunization and ExPEC infection. The schematic diagram was made in BioRender. (B) Box-and-whisker plots of the bacterial levels (CFU/ml) in combining the counts from all organs (liver, spleen, kidney) and all ExPEC strains (JJ1886, JJ2547, JJ2050); (C) or the bacterial levels (CFU/ml) of each ExPEC ST131 strain in combining the counts from all organs; (D) or the bacterial levels (CFU/ml) of all ExPEC strains in each type of organ following necropsy. (E) ELISA analysis of sera from SinH-based antigens vaccinated animals using antigens, SinH-3 or SinH-123 (GST-tag removed), as the capture antigen. Error bars indicate the median with 95% confidence interval (CI). Significant was determined by theKruskal-Wallis analysis of variance (ANOVA) with Dunn’s multiple comparisons correction. Symbols represent data of individual mice. One star (*) P < 0.05, two stars (**) P < 0.01, three stars (***) P < 0.001, four stars (****) P < 0.0001. The Box-and-whisker plots were exported from Graphpad Prism 9 and annotated using BioRender. | PMC9937491 | ppat.1011082.g003.jpg |
0.472169 | b11f992f4e0f442d8bb17ae3906b95ba | Assessment of the protective efficacy of SinH-based vaccines reduced the mortality of ExPEC sequence type 131 (ST131) bacteremia.(A) The vaccination scheme was used in this experiment. BALB/cJ, 6 weeks old, female mice were subcutaneously immunized with SinH-based antigens (SinH-3, SinH-123, N = 12), alum-only (N = 8) or LPS-only (N = 8) and injected with an intraperitoneal (IP) injection of 5 × 107 CFU of ExPEC ST131 strain JJ2050. Mice were monitored twice a day for 10 days, and moribund animals were euthanized/necropsied to determine bacterial levels in the kidneys, spleen, and liver. The schematic diagram was made in BioRender. (B) The survival rate of ST131 ExPEC strain JJ2050 was determined using the Gehan-Breslow-Wilcoxon comparison. (C) Box-and-whisker plots of the JJ2050 bacterial levels (CFU/ml) of the SinH-3 vaccinated group and SinH-123 vaccinated group in combining the counts from all organs (liver, spleen, kidney) at 2 d.p.i and 10 d.p.i. Error bars indicate the median with 95% confidence interval (CI). Significant was determined by the Kruskal-Wallis analysis of variance (ANOVA) with Dunn’s multiple comparisons correction. Symbols represent data of individual mice. One star (*) P < 0.05, two stars (**) P < 0.01, three stars (***) P < 0.001, four stars (****) P < 0.0001. The Box-and-whisker plots and Kaplan Meier survival curves were exported from Graphpad Prism 9 and annotated using BioRender. | PMC9937491 | ppat.1011082.g004.jpg |
0.48629 | e747bb97e2054099b065653003eca77d | Assessment of the protective efficacy of SinH-3 against the bacteremia of multiple ExPEC sequence types (STs).(A) Sequence alignment of sinH in different sequence types of ExPEC. The alignment was exported from Geneious and annotated using BioRender. (B) The vaccination scheme was used in this experiment. BALB/cJ, 6 weeks old, unvaccinated female mice (N = 4) and female mice were subcutaneously immunized with SinH-3 (N = 8), were both injected with an intraperitoneal (IP) injection of 5 × 107 CFU of multiple ExPEC sequence type strains (ST73-mixture, ST95-mixture). Mice were monitored twice a day for 5 days, and moribund animals were euthanized/necropsied to determine bacterial levels in the kidneys, spleen, and liver. Organs were harvested and plated to determine bacteria levels. The schematic diagram was made in BioRender. The survival rate curve of (C) ST73-mixture or (D) ST95-mixture was determined using the Gehan-Breslow-Wilcoxon comparison. (E) Box-and-whisker plots of the bacterial levels (CFU/ml) of the counts from all organs following necropsy. Error bars indicate the median with 95% confidence interval (CI). Significant was determined by the Kruskal-Wallis analysis of variance (ANOVA) with Dunn’s multiple comparisons correction. Symbols represent data of individual mice. One star (*) P < 0.05, two stars (**) P < 0.01, three stars (***) P < 0.001, four stars (****) P < 0.0001. The Box-and-whisker plots and Kaplan Meier survival curves were exported from Graphpad Prism 9 and annotated using BioRender. | PMC9937491 | ppat.1011082.g005.jpg |
0.445604 | 9e8b36e65b6b4285a5df600dbf30d2ff | Assessment of the protective efficacy and immunogenicity of SinH-based vaccines against acute urinary tract infection (UTI).(A) The vaccination scheme was used in this experiment. BALB/cJ, 6 weeks old, female mice were subcutaneously immunized with SinH-based antigens (SinH-3, SinH-123, N = 8) or GST alone (N = 7 or 8) and inoculated with a transurethral injection of 108 CFU of UPEC strains (UTI89, CFT073). Bladders were harvested and plated to determine bacteria levels. Urine was taken from each mouse after complete immunization. The schematic diagram was made in BioRender. Box-and-whisker plots of the bacterial levels (CFU/ml) in the bladder of UTI89 (B) or CFT073 (C) ELISA analysis of urinary IgG (D) and IgA (E) from SinH-based antigens vaccinated animals using antigens, SinH-3 or SinH-123, as the capture antigen. Error bars indicate the median with 95% confidence interval (CI). Significant was determined by the Kruskal-Wallis analysis of variance (ANOVA) with Dunn’s multiple comparisons correction. Symbols represent data of individual mice. One star (*) P < 0.05, two stars (**) P < 0.01, three stars (***) P < 0.001, four stars (****) P < 0.0001. The Box-and-whisker plots were exported from Graphpad Prism 9 and annotated using BioRender. | PMC9937491 | ppat.1011082.g006.jpg |
0.466125 | 8ea4bc60ff334328957a1ef7c5079928 | Assessment of the protective efficacy of SinH-based vaccines against ExPEC colonization in the GI tract.(A) The vaccination scheme was used in the murine model of gastrointestinal (GI) tract colonization. BALB/c, 6 weeks old, female mice were subcutaneously immunized with SinH-based antigens (SinH-3, SinH-123, N = 18) or GST alone (N = 18) and inoculated with a gavage of 109 CFU of ExPEC ST131 strains (JJ1886, JJ2547, JJ2050). Feces samples were collected and plated to determine bacteria levels. (B) Box-and-whisker plots of the bacterial levels (CFU/ml) in combining the counts from all ExPEC strains (JJ1886, JJ2547, JJ2050) (C) or the bacterial levels (CFU/ml) of each ExPEC strain in feces. (D) The vaccination scheme was used in the murine model of gastrointestinal (GI) tract colonization in immunosuppressed mice. BALB/c, 6 weeks old, female mice were subcutaneously immunized with SinH-based antigens (SinH-3, SinH-123, N = 18) or GST alone (N = 18) and inoculated with a gavage of 109 CFU of ExPEC ST131 strains (JJ1886, JJ2547, JJ2050). And then, mice were treated with the chemotherapeutic agent Cytoxan (CTX) on alternate days. After three times injections, feces were harvested and plated to determine bacteria levels in immunosuppressed mice. (E) Box-and-whisker plots of the bacterial levels (CFU/ml) in combining the counts from all ExPEC strains (JJ1886, JJ2547, JJ2050) (F) or the bacterial levels (CFU/ml) of each ExPEC strain in immunosuppressed mice feces. Error bars indicate the median with 95% confidence interval (CI). Significant was determined by the Kruskal-Wallis analysis of variance (ANOVA) with Dunn’s multiple comparisons correction. Symbols represent data of individual mice. One star (*) P < 0.05, two stars (**) P < 0.01, three stars (***) P < 0.001, four stars (****) P < 0.0001. The schematic diagrams were made in BioRender. The Box-and-whisker plots were exported from Graphpad Prism 9 and annotated using BioRender. | PMC9937491 | ppat.1011082.g007.jpg |
0.448965 | a275e5cff382471981fac105eabdf2fe | Potential phytochemical classes and secondary metabolites discussed for COVID-19 infection. | PMC9937517 | 10541_2023_2427_Fig1_HTML.jpg |
0.421029 | 2c65531b9d7249f9adf2e86d8417c737 | Structures of potential terpenoid compounds effective against COVID-19. | PMC9937517 | 10541_2023_2427_Fig2_HTML.jpg |
0.454713 | bc58b19938d841f5ad375e1448b5400f | Structures of alkaloids potential for COVID-19. | PMC9937517 | 10541_2023_2427_Fig3_HTML.jpg |
0.430741 | 8ebc4e136348469eb25d405486e69a46 | Structures of phenolic phytochemicals potential for COVID-19. | PMC9937517 | 10541_2023_2427_Fig4_HTML.jpg |
0.515266 | d3fc4664e5544c4ca48ccd04247bda14 | Overview of potential high-value phytochemicals effective for COVID-19. | PMC9937517 | 10541_2023_2427_Fig5_HTML.jpg |
0.49212 | db1b8372f00c469e9511ccccddcad977 | Reaction scheme showing
photo-degradation of methionine in the
presence of riboflavin to produce volatile sulfur compounds, among
other products (adapted with permission from refs (25) (copyright 2019 Elsevier)
and (35) (copyright
2020 American Chemical Society)). | PMC9937536 | jf2c05275_0002.jpg |
0.46142 | 81e5151c15de469d8ef69cb911749ba6 | Results from photo-degradation trials
carried out in model wine
solution showing (A) PLS regression model performance (R2) and associated regression coefficients for (B) dimethyl
disulfide (DMDS) concentration, (C) sum of VSCs, (D) methionine disappearance
(Met lost), (E) molar ratio of sulfur compound formed/Met degraded,
and (F) cabbage sensory score. | PMC9937536 | jf2c05275_0003.jpg |
0.413326 | eb54bbb230cb4817ae4769289d89bb6d | Results from photo-degradation trials carried
out in model wine
solution showing the contour plots for the interaction between oxygen
and copper for (A) sum of VSCs and (B) cabbage sensory score. | PMC9937536 | jf2c05275_0004.jpg |
0.527176 | 948411e8267e4bc2888f3efce3bf3e9f | Results from photo-degradation
trials carried out in model wine
solution added with caffeic acid showing (A) PLS regression model
performance (R2) and associated regression
coefficients for (B) free methanethiol (MeSH) concentration and (C)
sum of VSCs. | PMC9937536 | jf2c05275_0005.jpg |
0.48384 | 6bbdea6af36343ae9caa9a7f631f17af | Results from photo-degradation trials carried
out in model
wine
solution added with caffeic acid showing the contour plots for the
interaction between oxygen and iron for free methanethiol concentration. | PMC9937536 | jf2c05275_0006.jpg |
0.518486 | 3f94cbd29bbe4d179f8e8cb7efa928a8 | Results from photo-degradation trials carried
out in model wine
solution added with catechin showing (A) PLS regression model performance
(R2) and associated regression coefficients
for (B) free methanethiol (MeSH) concentration and (C) cabbage sensory
score. | PMC9937536 | jf2c05275_0007.jpg |
0.425196 | 76775f087b3947548a3fb2bf4516d30f | Results from photo-degradation trials carried
out in model
wine
solution added with catechin showing the contour plots for the interaction
between oxygen and copper for (A) free methanethiol and (B) cabbage
sensory score. | PMC9937536 | jf2c05275_0008.jpg |
0.543965 | ce8ea528eb03485b8bffc95746015af0 | Workflow for estimating and forecasting cases and hospitalizations by Wisconsin HERC region | PMC9937741 | 12889_2023_15160_Fig1_HTML.jpg |
0.470099 | a612cf9b76ab43feb5e15f4e7e1c4826 | Geofacet of time series data for estimated and forecasted cases. Geofacet of time series data for estimated and forecasted cases by Wisconsin HERC region generated from September 20, 2020 to December 6, 2020 | PMC9937741 | 12889_2023_15160_Fig2_HTML.jpg |
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0.475339 | 9d7d75614ef248828f1a210937b918d7 | Geofacet of time series data for estimated and forecasted hopitalizations. Geofacet of time series data for estimated and forecasted hopitalizations by Wisconsin HERC region generated from September 20, 2020 to December 6, 2020 | PMC9937741 | 12889_2023_15160_Fig4_HTML.jpg |
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0.484212 | 30537e7fe4964d30a223686b071eb540 | Characteristics of TK1-IgY-pAb. A. Example of a patient with RC (T1N2M0). a Western blot of STK1p. The serum samples, presurgery (Lines 1 and 2, duplicate), and 6 months after surgery (Line 3); Serum sample from a disease-free person (Lines 4 and 5, duplicate). b) TK1 immunohistochemistry (IHC) staining of RC tissue postsurgery (T1N2M0). Brownish-yellow TK1 was mainly in the cytoplasm. Blue staining was used to counterstain nuclei with hematoxylin. Magnification 200 × . B. Receiver operation characteristic (ROC) analysis. The analysis was based on STK1p values of 488 CRC patients and 488 tumor-free persons | PMC9938097 | 12672_2023_614_Fig1_HTML.jpg |
0.45739 | 9dad2bfe82d44f2480fefd2de4b61bd7 | Overall survival (OS) rate of CRC patients related to STKIp, CEA and CA19.9 (A–C) and the OS rate related to PTL of CRC (D) based on the Kaplan–Meier plotter database. The solid dots in the survival curves show the times of censored observations. M: months | PMC9938097 | 12672_2023_614_Fig2_HTML.jpg |
0.407469 | ce4acd36bd714af4bd6fd10463b3b021 | Overall survival (OS) curves of R-CC (A), L-CC (B) and RC (C) related to STK1p, CEA, CA19.9, and TNM stage based on the Kaplan–Meier plotter database. The solid dots in the survival curves show the times of censored observations. M: months | PMC9938097 | 12672_2023_614_Fig3a_HTML.jpg |
0.41899 | 41ae45c0f13e47b885a385a286bf99c3 | Correlation between serum values of STK1p, CEA and CA19.9 in R-CC (A), L-CC (B) and RC (C) patients. r = Pearson correlation coefficient | PMC9938097 | 12672_2023_614_Fig4_HTML.jpg |
0.410629 | 79a87638e89243c8846c06fab4316784 | Schematic diagram of the detection of early colorectal tumorigenesis based on STK1p combined with appropriate imaging. ROS✸: Reactive oxygen species from metabolism, inflammation, radiation, pollution, etc.; *Elevated STK1p: the STK1p value significantly increased (P < 0.0001) in the following manner: healthy mucosa (tumor-free) < enlarged polyps < dysplasia < colorectal carcinoma (CRC, TNM stage I-III) [28]. The text is explained in reference no 30 | PMC9938097 | 12672_2023_614_Fig5_HTML.jpg |
0.493573 | 7e8538c7ec2147ce8c620409dae5c736 | Summary of the potential roles of neutrophils in non-tuberculous mycobacterial lung disease. The figure is made with BioRender (https://app.biorender.com/). Abbreviations: ROS: Reactive oxygen species; NET neutrophil extracellular trap | PMC9938600 | 12941_2023_562_Fig1_HTML.jpg |
0.488724 | 634c628c1d344c4e8e04c04e127852fb | Рисунок 1. График роста пациента Е.Примечание к рисунку: по вертикали — рост, см; по горизонтали — возраст, годы; измерения роста в соответствии с хронологическим (красные точки) и костным (желтые точки) возрастом.Figure 1. Growth chart of patient E. | PMC9939971 | problendo-68-13149-g001.jpg |
0.476204 | e0bfd8e7eee447eda0e80ba4aac8dee5 | Рисунок 2. Результаты 5-дневного непрерывного мониторинга гликемии пациента Е.Примечание к рисунку: 200 мг/дл = 11,1 ммоль/л, 140 мг/дл = 7,8 ммоль/л, 70 мг/дл = 3,9 ммоль/л, 40 мг/дл = 2,2 ммоль/л.Figure 2. Results of 5-day continuous monitoring of glycemia of patient E. | PMC9939971 | problendo-68-13149-g002.jpg |
0.504877 | 7ec0569b6c8b4738b05ba1eb5268f6c7 | Рисунок 3. График роста пациентки А.Примечание к рисунку: по вертикали — рост, см; по горизонтали — возраст, годы; измерения роста в соответствии с хронологическим (красные точки) и костным (желтые точки) возрастом.Figure 3. Growth chart of patient A. | PMC9939971 | problendo-68-13149-g003.jpg |
0.419807 | 1c1101b4055f4a9aa768f4372fd9755c | Рисунок 4. Результаты 5-дневного непрерывного мониторинга гликемии пациентки А.Примечание к рисунку: 140 мг/дл = 7,8 ммоль/л, 80 мг/дл = 4,5 ммоль/л.Figure 4. Results of 5-day continuous glycemic monitoring of patient A. | PMC9939971 | problendo-68-13149-g004.jpg |
0.538549 | 72acbe06edf84e8a9c4ff4cac7e3f3cb | Summary of the approach ‘Map-then-assemble’ implemented in FrangiPANe. Raw pair-ended short reads are mapped to the reference genome, separately for each sample, and unmapped reads are assembled. Next, contigs from all individuals are pooled and clustered to reduce redundancy. Non-redundant contigs are finally anchored on the genome. | PMC9940456 | lqad013fig1.jpg |
0.427703 | 937c6569c2a64f899eb21829a9872fc9 | Contigs location on the 12 chromosomes of CG14. A total of 152 411 sequences were uniquely anchored, representing 31.5% of the total number of contigs. | PMC9940456 | lqad013fig2.jpg |
0.470862 | 18070246bcc44fa2bcae9381588fed49 |
Mobility trends in Austria. The black lines represent average mobility changes relative to the baseline (Mar. 23–29, 2020). The gray area indicates the COVID-19 stringency index [0–100] (containment and closure policies) for Austria (Hale et al. 2021). | PMC9940778 | nfac042f1.jpg |
0.473024 | a3de7a446fde4d4fb02266ed39859675 |
Correlation of mobility estimates (averages by subgroup and week). P values refer to two-sided tests for statistical significance. | PMC9940778 | nfac042f2.jpg |
0.503825 | d8e51de179ea4ab1a82ed2f534f6a972 |
Correlation of mobility estimates (averages by category and week). P values refer to two-sided tests for statistical significance. | PMC9940778 | nfac042f3.jpg |
0.42836 | 8c0571999d7f463580175f32d8a86e66 | Intraoperative image and diagram demonstrating en bloc resection of segment 4a + 5 and PD. (A) Kocher's maneuver was applied to the lift head of the pancreas and the duodenum, and a biopsy of the periaortic lymph node was routinely performed. (B) PD: after transecting the gastric antrum, the pancreas, and the jejunum, the small blood vessels between the uncinate process and the SMA were separated and ligated until its root. The red solid line indicates the transection of the gastric antrum. The yellow dotted line indicates the transection of the pancreas at the neck. (C) Resection of segment 4a + 5. (D) After the completion of segment 4a + 5 resection and PD. CHA: Common hepatic artery; CHD: Common hepatic duct; IVC: Inferior vena cava; LRV: Left renal vein; PD: Pancreatoduo-denectomy; PV: Portal vein; SMA: Superior mesenteric artery. | PMC9943980 | cm9-135-2851-g001.jpg |
0.436459 | 4cf61cb952a24e6c9b933113bb25b79e | (A) Kaplan–Meier analysis showed a significant difference in OS between the GBC group and the cholangiocarcinoma group (P < 0.001). (B) Kaplan–Meier analysis showed a significant difference in GBC patients with or without prognostic factors (P < 0.001, HR, 95% CI [3.431, 1.853–6.355]). CI: Confidence interval; GBC: Gallbladder cancer; OS: Overall survival. | PMC9943980 | cm9-135-2851-g002.jpg |
0.437356 | de00869a13d54c1d91bc98aaf8b77006 | Kaplan–Meier analysis showed the overall median survival in the HPD-GBC and None-HPD-GBC groups was 11 months and 12.12 months, respectively (P > 0.05). | PMC9943980 | cm9-135-2851-g003.jpg |
0.444046 | e6d65ef1050248e597cf85ce22acbae6 | The flow diagram of the screening process. SDOH, Social Determinants of Health. | PMC9944244 | HSR2-6-e1124-g001.jpg |
0.425215 | ecd6b3953ce1425eaa39193186ce7321 | (A) Subtle erythematous rash on the forearm in a linear pattern. (B) Histopathologic examination of the skin punch biopsy reveals a sparse interstitial inflammatory cell infiltrate. Hematoxylin and eosin, (H&E) ×40. (C) Loss of the fat around eccrine glands, mild thickening of the collagen bundles, and a mild lymphocytic inflammatory cell infiltrate with plasma cells (H&E) ×200. (D) CD34 expression is reduced in the lower reticular dermis in a geographical pattern (as demarcated by the blue line) ×40. | PMC9944576 | dermatopathology-10-00010-g001.jpg |
0.434541 | 2526864228c64c9090759dc3a7551b1c | (A) Scanning magnification of this punch biopsy with hyperkeratosis, follicular plugging, and hyalinization of collagen in the superficial dermis (H&E) ×40. (B) Higher magnification shows an interstitial inflammatory cell infiltrate composed predominantly of lymphocytes (H&E) ×100. (C) Plasma cell also seen in the infiltrate (H&E) ×200 (D) There is diffuse loss of CD34 expression throughout the dermis (as demarcated by the blue line) ×40. | PMC9944576 | dermatopathology-10-00010-g002.jpg |
0.419597 | 5e3650389bc048be9f804ea463d129f7 | (A) Hyperpigmented area seen in the left upper inner arm. (B) Histopathologic examination shows hyperkeratosis and acanthosis with diffuse thickening of the superficial and deep dermis with loss of adnexal structures. (H&E) ×40. (C) Thickening of the collagen bundles with hyalinization is present with a mild interstitial cell infiltrate composed of lymphocytes and plasma cells (H&E) ×400. (D) CD34 expression is diffusely absent in the dermis (as demarcated by the blue line) ×40. | PMC9944576 | dermatopathology-10-00010-g003.jpg |
0.450718 | c786b0affa734d4aafc8476e900043a5 | Initial characterization of studied ILs. (a) Chemical structure of trihexyl(tetradecyl)phosphonium cation [P666,14]+ and anions: bis(2-ethylhexyl) phosphate [BEHP]-, bis(2,4,4-trimethylpentyl) phosphinate [BTMPP]−. (b) Differential scanning calorimetry (DSC) traces of [P666,14][BEHP] and [P666,14][BTMPP] obtained on cooling with the rate of 10 Kmin−1. | PMC9944924 | 41598_2023_29518_Fig1_HTML.jpg |
0.421835 | e1c5cdbf75fd4e0fa96faf65dcf93551 | Dielectric response of examined ILs measured at ambient pressure. (a) Imaginary part of the complex electric modulus M’’ and (b) real part of complex conductivity σ’ as a function of frequency at various temperatures for [P666,14][BEHP] and [P666,14][BTMPP]. (c) Superimposition of M’’ spectra of [P666,14][BEHP], [P666,14][BTMPP] at 0.1 MPa and several temperatures. (d) Temperature dependence of conductivity relaxation times above and below Tg. (e) Temperature dependence of dc-conductivity. Solid lines in (d) and (e) denote the fits of the VFT equation to experimental data above Tg and the fits of Arrhenius law for the secondary relaxation process below Tg. Adj. R-Square of VFT fits is equal to 0.9999 and 0.9992 for [P666,14][BEHP], [P666,14][BTMPP], respectively. (f) βKWW as a function of M”(f) peak maximum for [P666,14][BEHP], [P666,14][BTMPP] and three others IL, i.e. [P666,14][BOB], [P666,14][TAU] and [P666,14][TFSI]. | PMC9944924 | 41598_2023_29518_Fig2_HTML.jpg |
0.42849 | b06c9763b8c740f3b12530e65206ce7d | (a) Temperature dependence of density for [P666,14][BEHP] and [P666,14][BTMPP] measured at 0.1 MPa. The solid lines are linear fits. (b) Temperature dependence of viscosity for studied ILs. Solid lines denote the fit of the VFT equation. (c) Walden plot constructed for studied ILs comparing with ideal KCl line. | PMC9944924 | 41598_2023_29518_Fig3_HTML.jpg |
0.457333 | f1e789e2d6de4c5daec581bdfda18ace | (a) The Stickel plots of conductivity relaxation times τσ and viscosity η for [P666,14][BEHP] and [P666,14][BTMPP]. (b) The comparison of Stickel analysis for [P666,14][BTMPP] with [P666,14][BOB]. The inset shows the Stickel analysis of ILs with the LLT phenomenon. Data are taken from ref.31. | PMC9944924 | 41598_2023_29518_Fig4_HTML.jpg |
0.453178 | 682801f0f3c34fbe8d2b9c497f202f5d | (a) The imaginary part of the dielectric loss modulus M’’ versus frequency registered during the compression of [P666,14][BEHP] and [P666,14][BTMPP] at T = 244 K. (b) Pressure dependence of the conductivity relaxation times τσ measured at different isothermal conditions for [P666,14][BEHP] and [P666,14][BTMPP]. The solid lines denote the corresponding fits, i.e., Arrhenius fit for [P666,14][BEHP] and pVTF fit for [P666,14][BTMPP]. (c) Pressure dependence of the glass transition temperature Tg for studied ILs. The solid lines are fits of the Andersson-Andersson equation to the experimental data. (d) Pressure dependence of log10
τσ (P) of [P666,14][BTMPP] for the same isotherms. The solid lines represent the fits with the hybrid model (Eq. 4). | PMC9944924 | 41598_2023_29518_Fig5_HTML.jpg |
0.425574 | 1abb5bdfb10146599bc249f1bbd67594 | (a) Pressure dependences of activation volume for [P666,14][BEHP] [P666,14][BTMPP] and [P666,14][BOB]. The lines are fits according to Eq. (4). In the inset, the temperature dependence of activation volume of [P666,14][BEHP] at ambient pressure is shown. (b) Temperature dependence of inflection pressure for [P666,14][BTMPP] and [P666,14][BOB]. Solid lines are linear fits, extrapolating to the inflection temperature at 0.1 MPa. | PMC9944924 | 41598_2023_29518_Fig6_HTML.jpg |
0.442122 | fac29f9ea013417ab16e450054e8e40c | Flowchart of the study participants (COVID-19 patients). | PMC9946204 | pone.0279032.g001.jpg |
0.480123 | a995441bf73f4c13854155cdd38d2994 | Distribution of the symptoms of the COVID-19 patients. | PMC9946204 | pone.0279032.g002.jpg |
0.400901 | 9f6f7b31a9cf4790a964ef7f03694038 | Distribution of the COVID-19 patients by comorbidities (n = 427). | PMC9946204 | pone.0279032.g003.jpg |
0.524709 | 260dd4ac74294436988c1c455fb1bacd | (a) Percentage DPPH inhibition (b) Percentage OH radical inhibition and (c) Ferric-reducing antioxidant power of fractions of S. mombin stem bark extract. AA: Ascorbic acid; GA: Gallic acid; ASM: Aqueous fraction of S. mombin; BSM: n-butanol fraction of S. mombin; ESM: Ethyl acetate fraction of S. mombin; HSM: n-hexane fraction of S. mombin. #[P < 0.05]; significant compared with BSM. | PMC9947098 | gr1.jpg |
0.420282 | ceea7a98269b4a10b80ce8f8fb91ec05 | Percentage α-amylase inhibition of various fractions of S. mombin stem bark extract. ASM: Aqueous fraction of S. mombin; BSM: n-butanol fraction of S. mombin; ESM: Ethyl acetate fraction of S. mombin; HSM: n-hexane fraction of S. mombin. #[P < 0.05]; significant compared with 250 μg/mL. | PMC9947098 | gr2.jpg |
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