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0.452819
60fc67dc419142cb9d3a0e63f6f3c904
(A): radial-ebus probe endobronchially; (B): radial-ebus probe ultrasound image; (C): fluoroscopy. (D): patient intubated with double lumen endotracheal tube with inlet for the endoscope and fogarty balloon; (E): ERBE cryoprobe; (F): lung parenchyma tissue sample.
PMC10144839
medicina-59-00787-g001.jpg
0.407362
b8cf3310d8694a1cbac066ac1e54e1a7
Table of medical history plus age and CT readings distribution. Left: disease distribution, Right: Distribution of age with computed tomography findings. IPF: idiopathic pulmonary fibrosis, LIP: lymphoid interstitial pneumonia, HP: hypersensitivity pneumonia, BIP: bronchiolitis obliterans pneumonia, CTD1: connective tissue disease, DIP: desquamative interstitial pneumonia, COPD: chronic obstructive pulmonary disease, LC: lung cancer, PH: pumonary hypertension, CHD: coronary heart disease, DM: diabetes melitus.
PMC10144839
medicina-59-00787-g002.jpg
0.401826
afe78c2e31b24df1abc5f6434f254745
Graphical cross-tabulation between old and new diagnoses as affected by change in diagnosis (0.1). Red bars: changes; Blue bars: no changes.
PMC10144839
medicina-59-00787-g003.jpg
0.449051
e09b3efd2a28452ca61ac4c75bf688c8
Illustration of direct contact membrane distillation.
PMC10144847
polymers-15-01821-g001.jpg
0.481858
2d1f06e8d83748b688529eb21ec9f985
Flowchart for numerical optimization model in direct contact membrane distillation.
PMC10144847
polymers-15-01821-g002.jpg
0.3774
b2ad4d7bfa1846b9a32fff5166956b9e
Numerical validation of predicted and theoretical flux with respect to experimental permeate flux for polystyrene membranes in pilot scale DCMD.
PMC10144847
polymers-15-01821-g003.jpg
0.505592
cabc0ff30dc84b0ba7653fb7f7beca36
Effect of varying membrane porosity with respect to change in the bulk feed temperature and membrane thickness at a Tb,p of (a) 20 °C, (b) 25 °C, and (c) 30 °C.
PMC10144847
polymers-15-01821-g004.jpg
0.396108
50daa8d1b0d143619135e5c2090a3023
Effect of bulk temperatures on thermal efficiency in DCMD.
PMC10144847
polymers-15-01821-g005.jpg
0.429651
69d44a88c4c6435ebed80199100aabdb
Effect of bulk temperatures on evaporation efficiency in DCMD.
PMC10144847
polymers-15-01821-g006.jpg
0.41024
c47fcb9a1bd846aab7a8801e261b0859
Permeate flux vs. both thermal efficiency and evaporation efficiency of polystyrene membranes at fixed Tb,p = 20 °C and changing Tb,f from 60 °C to 80 °C in (a–c), respectively.
PMC10144847
polymers-15-01821-g007.jpg
0.536274
9507cfad156842c98aa0e0e3cbf87dfc
Effect of change in membrane porosity on permeate flux in DCMD.
PMC10144847
polymers-15-01821-g008.jpg
0.379651
8420346dc92848358e7b218798e816eb
Mass transfer coefficient with respect to change in bulk feed and permeate temperature.
PMC10144847
polymers-15-01821-g009.jpg
0.425377
715ccc8cf896492aaaab403022cf7f7f
BaV chromatographic profile and electrophoretic profiles of F2 fraction and the BaV. (A) Sixty milligrams of lyophilized venom were subjected to a chromatography step on an affinity column, equilibrated, and eluted with 25 mM TRIS, pH 8. Samples were eluted at a continuous flow rate of 1 mL/min, and the protein content was monitored under absorbance at 280 nm on the UPC-900 reader. (B) Five µg of BaV and five µg of the F2 fraction were subjected to gradient gel electrophoresis (5% for the upper gel and 12% for the lower gel) under non-reducing conditions. The bands were revealed by silver nitrate impregnation.
PMC10145261
toxins-15-00264-g001.jpg
0.528458
91aa69d3be11488e84f8bebfb91e321e
Cross-recognition by ELISA of the venoms of snakes of the genus Bitis against the F2 anti-fraction antibody. Cross-recognition of antibodies against B. arietans, B. gabonica, B. nasicornis and B. rhinoceros venoms was determined by the ELISA method in 96-well plates sensitized with one µg of antigen/well. The anti-F2 fraction antibodies were serially diluted (1:500 to 1:256.000) in PBS/BSA 0.1%. Detection with peroxidase-conjugated “anti-mouse” antibodies was performed at a dilution of 1:5000. The reading was taken with ELX 800 plate spectrophotometer (Biotek Instruments, Vermont, USA) at a wavelength of 490 nm. The yield was presented as ELISA units/mL (EU/mL). The assay was performed in duplicate. Data were statistically analyzed using GraphPad Prism version 7 for Windows (GraphPad Software, San Diego, CA, USA). The yield was presented as units per milliliter. * p < 0.05.
PMC10145261
toxins-15-00264-g002.jpg
0.528021
fd5d11c192084647956b9a107db9caac
Cross-recognition by immunoblotting of venoms from snakes of the genus Bitis against the anti-F2 fraction antibody. (A) Five µg of each venom and five µg of the F2 fraction were subjected to gradient gel electrophoresis (5% for upper gel and 12% for lower gel) under non-reducing conditions. The bands were revealed by silver nitrate impregnation. (B) The nitrocellulose membrane was incubated for 1 h at room temperature with the anti-F2 fraction antibody diluted 1:200 in PBS/BSA 0.1%. After washing with PBS/Tween-20 0.5%, the membrane was incubated for 1 h at room temperature with the “anti-mouse” IgG antibody conjugated with alkaline phosphatase, diluted 1:5000 in PBS/BSA 0.1%.
PMC10145261
toxins-15-00264-g003.jpg
0.481398
bc6569006e3c48eea42fc4b9db0a30ea
Experimental plasma affinity. A 96-well plate was primed with one µg of antigen/well, and the dilution of anti-F2 fraction antibodies was set at 1:1000. KSCN concentration ranged from 0 M to 5 M. The percentage of antibodies bound to 3 M KSCN was used to calculate affinity. (A) F2 affinity curve. (B) raw venom affinity curve. (C) percentage of antibodies bound to KSCN 5M. The assay was performed in duplicate. Data were statistically analyzed using GraphPad Prism version 7 for Windows (GraphPad Software, San Diego, CA, USA). The yield was presented as units per milliliter.
PMC10145261
toxins-15-00264-g004.jpg
0.428762
0e28c1e3cc7342b69b04c9c3a398f04b
Hemorrhagic activity of BaV. Groups of mice (n = 20) were inoculated by intradermal injection with increasing amounts of BaV or PBS pH 7.2. (A) Hemorrhagic tissue fragments corresponding to 10 µg/animal. (B) Hemorrhagic tissue fragments corresponding to 20 µg/animal. (C) Hemorrhagic tissue fragments corresponding to 30 µg/animal. (D) Fragments of hemorrhagic tissue corresponding to 40 µg/animal. (E) Fragments of hemorrhagic tissue corresponding to PBS pH 7.2 inoculation in control animals. The diameter of the area of each tissue fragment was plotted in the ImageJ 1.8.0 program and expressed in mm2.
PMC10145261
toxins-15-00264-g005.jpg
0.413556
b7d96bc94deb406db58485489a3eec7e
Serum neutralization of BaV hemorrhagic activity. Groups of mice (n = 16) were inoculated by intradermal injection with the MHD of 10 µg of BaV together with different concentrations of the anti-F2 fraction antibody, or PBS pH 7.2. (A) Hemorrhagic tissue fragments corresponding to 10 µg/animal + anti-F2 fraction antibodies 1:5. (B) Hemorrhagic tissue fragments corresponding to 10 µg/animal + antibodies anti-F2 fraction 1:10. (C) Hemorrhagic tissue fragments corresponding to 10 µg/animal + antibodies anti-F2 fraction 1:20. (D) Hemorrhagic tissue fragments corresponding to the inoculation of 10 µg/animal of BaV in PBS pH 7.2 in control animals. The diameter of the area of each tissue fragment was plotted in the ImageJ 1.8.0 program and expressed in mm2.
PMC10145261
toxins-15-00264-g006.jpg
0.464048
6506d63ce7d242dfbeb8e8727a5efb8a
(a) Flow chart of individuals with ChAdOx1 nCoV-19 vaccination according to pre-existing adenovirus immunity; (b) Timetable of individuals with ChAdOx1 nCoV-19 vaccination.
PMC10145356
vaccines-11-00784-g001a.jpg
0.445716
9303b3a9f4ef41559d10144a0df0f49a
(a) Spike (S)-specific IgG titers after ChAdOx1 nCoV-19 vaccination according to pre-existing adenovirus immunity; (b) Plaque reduction neutralization test (PRNT50) data after ChAdOx1 nCoV-19 vaccination according to pre-existing adenovirus immunity; *, p < 0.05.
PMC10145356
vaccines-11-00784-g002a.jpg
0.441288
c866b3e4c1e749fe866cbc11cf294e1d
Reactogenicity to ChAdOx1 nCoV-19 vaccination according to pre-existing adenovirus immunity.
PMC10145356
vaccines-11-00784-g003.jpg
0.46021
2859688cc6cc4251b7ef3e1477e587a7
Synthesis of compounds (2–22)a–c.
PMC10145568
microorganisms-11-00935-sch001.jpg
0.43737
113480b204f741ed814a090edf6c8a51
Normal pregnancy.
PMC10146335
metabolites-13-00545-g001.jpg
0.580729
44bf4bdfbab8499b83fff2c1ee7fb9a0
Intrauterine growth restriction.
PMC10146335
metabolites-13-00545-g002.jpg
0.466037
57a7ab5ec0594f8d8f19a8fc028207e1
Inherited obesity.
PMC10146335
metabolites-13-00545-g003.jpg
0.417491
739fc2acff284e309d092989e8290de5
Dry weight of MS (main stem, (a)), LB (lateral branch, (b)), LMS (leaf on main stem, (c)) and LLB (leaf on lateral branch, (d)) in K. pentacarpos cultivated in non-polluted or polluted soil for five months in the presence or absence of NaCl or/and EDDS. Each value is the mean of 3 replicates and vertical bars are S.E. Values exhibiting different letters are significantly different at p < 0.05 according to SNK test.
PMC10146522
plants-12-01656-g001.jpg
0.469985
c50aacd8b3064dc8ac86cf40265f76c7
Growth parameters of K. pentacarpos in non-polluted or polluted soil during five months in the presence or absence of NaCl or/and EDDS. The stem height (a), number of lateral branch (LB, (b)), number of leaves on main stem (LMS, (c)), and number of leaves on lateral branch (LLB, (d)) were recorded every two weeks until the 16th week (a–d). Total number of flowers (e) and fruits (f) were recorded every ten days from the first day that they appeared, in total, 9 and 8 times, respectively. Each value is the mean of 15 replicates and vertical bars are S.E. in Figure 1a–d.
PMC10146522
plants-12-01656-g002.jpg
0.528773
2c448ebdbbe746fbbba973fa0ba93bec
Cardiac Output during labor in the whole population studied
PMC10147743
404_2022_6658_Fig1_HTML.jpg
0.50549
53354f1456ce4de8846e480af81acd14
Cardiac Output during labor in the subgroup with Low Total Vascular Resistances (Low-TVR solid line) and in the subgroup with high Total Vascular Resistances (High-TVR dotted line)
PMC10147743
404_2022_6658_Fig2_HTML.jpg
0.379721
646b74b0fb7b498ea246d1b63a2a960f
Number of decelerations at computerized cardiotocography related to Cardiac Output
PMC10147743
404_2022_6658_Fig3_HTML.jpg
0.517519
c79dec8e9fde4d8392e8ece56b119365
Short term variation at computerized cardiotocography in the subgroups with low Total Vascular Resistances (Low-TVR) and with high Total Vascular Resistances (High-TVR)
PMC10147743
404_2022_6658_Fig4_HTML.jpg
0.428595
87e6d075759e4a5ead875d99b49c7ce5
Annual climate-related finance commitments, US$ billion (2015–2020). Source: author’s compilation based on OECD DAC’s Creditor Reporting System
PMC10147898
11027_2023_10062_Fig1_HTML.jpg
0.452953
960d578d4a6a42b5a059334d425bfd00
Annual climate-related finance commitments principal versus significant, US$ billion (2015–2020). Source: author’s compilation based on OECD DAC’s Creditor Reporting System
PMC10147898
11027_2023_10062_Fig2_HTML.jpg
0.463654
87d30d45b64149d4a65521a321d86204
Flow chart of the study.
PMC10147972
gr1.jpg
0.703568
6297630e9bcf4ad2a004f7f7d67b586f
General structure of an acoustic guitar with the detail of its wood components.
PMC10147972
gr2.jpg
0.425923
863b8e4b6eed49b8858d93dcf3ebf479
Most commonly employed woods and wood-based composites in acoustic guitars. Only components with a utilization rate greater than 5% are shown.
PMC10147972
gr3.jpg
0.384477
31d64617b16d40d99a4c62470d5ea431
Distribution of woods and wood-based composites per guitar component. Only components with a utilization rate greater than 5% are shown. Colors refer to guitar components: light blue = top; orange = brace; grey = back & sides; yellow = bridge; purple = neck; green = fingerboard; dark blue = headplate.
PMC10147972
gr4.jpg
0.38842
c2ad819e84d849d8871aeccf9db27370
Specific module (E[N/mm2]/⍴[kg/m3]) distribution of woods used for the top (blue) and the back and sides (orange). Only woods with a utilization rate greater than 1% are considered.
PMC10147972
gr5.jpg
0.453954
cd59c6de0fff4d94bcb4eabb262143b4
Distribution of Janka hardness values [N] of the woods used in the different components. Blue = top; orange = back and sides; grey = bridge; yellow = brace; dark blue = neck; green = fingerboard; purple = headplate.
PMC10147972
gr6.jpg
0.442952
07454a03ede74a7185b1853c8fd4b3dc
Participant flow diagram.
PMC10148208
formative_v7i1e44503_fig1.jpg
0.489708
2a51b162d4fc4011bcc4196c6d969f35
Flow chart of the study design
PMC10149026
13063_2023_7309_Fig1_HTML.jpg
0.471421
421f7e8a871a49379755c5f8288e4cdd
Patient with a confirmed monoclonal kappa light chain only disease immunopurified using anti-kappa nanobody beads. The deconvoluted mass spectrum from the CD138 + plasma cell lysate is shown on the top of the figure and the matching deconvoluted mass spectrum from the serum is shown on the bottom. The monoclonal kappa light chain molecular mass observed in the cell lysate and in the serum are listed. An additional peak is observed in the mass spectrum from the serum at a higher molecular mass of 23,599.4 Da which is thought to be a glycated form of the monoclonal kappa light chain having a mass difference between the two peaks is 162 Da which is equivalent to the mass of a hexose.
PMC10149385
gr1.jpg
0.4556
ca88e0aba7d54300858a6f4c138e8883
Summed mass spectra from outside the retention time window for the monoclonal kappa light chain (4.5 to 9 min). In this retention time window other polyclonal kappa light chains would be expected to elute off the LC column. The mass spectrum from serum shows a Gaussian shaped molecular mass distribution obtained from the polyclonal kappa light chain background originating from normal plasma cells secreting immunoglobulins into circulation that is not observed in the cell lysate sample.
PMC10149385
gr2.jpg
0.508458
faa8918e63db4f6d98b372176e769652
ESI mass spectra from cell lysates and serum after immunopurification of a patient with an IgA lambda monoclonal immunoglobulin using anti-lambda nanobody beads. Molecular masses for the monoclonal lambda light chain determined after deconvolution are also shown in the figure.
PMC10149385
gr3.jpg
0.484562
88b2ae0729d54d7ab399e5e21e8d5cb5
Monoclonal IgA heavy chain ESI mass spectrum (top) displaying the multiply charged monoclonal IgA heavy chains (+30 to + 54 charge states) from the same IgA lambda positive patient shown in Fig. 3. The mass spectrum on the bottom of the figure is the deconvoluted form of the ESI mass spectrum showing different IgA heavy chain glycoforms of the monoclonal heavy chain that differ in molecular mass by 162 Da matching the mass of a hexose monomer.
PMC10149385
gr4.jpg
0.429761
9ec14d07d7b34176811d78a034d55a9e
Serum derived ESI mass spectrum generated by summing mass spectra in the total ion chromatogram at 10.8 min from the same IgA lambda positive patient shown in Fig. 3. No discernable multiply charged ion envelopes that match those shown in the top of Fig. 4 are observed (top). After deconvolution (bottom) no peaks are observed that match the monoclonal heavy chain glycoforms seen in the cell lysate.
PMC10149385
gr5.jpg
0.461419
823467c092c44686be8304d3a866439d
Deconvoluted IgG heavy chain mass spectra from a patient with a confirmed IgG kappa monoclonal immunoglobulin after immunopurification using anti-human kappa light chain beads. The mass spectrum on the top is from the cell lysate sample and the mass spectrum on the bottom is from the serum sample. The molecular mass of the primary glycoform is labeled in each mass spectrum.
PMC10149385
gr6.jpg
0.503518
031d749932254eb8a1801eafbe741421
Deconvoluted IgG heavy chain mass spectra from a patient with a confirmed IgG lambda monoclonal immunoglobulin after immunopurification using anti-human kappa light chain beads. The mass spectrum on the top is from the cell lysate sample and the mass spectrum on the bottom is from the serum sample. The molecular mass of the primary glycoform is labeled in each mass spectrum.
PMC10149385
gr7.jpg
0.426852
3e25e5b081f149efa5cee6e499a24401
(A) Magnetic resonance imaging of patients with different levels of IVDD according to Pfirrmann grades. (B) The results of IHC for human NP tissue sections demonstrated that the expression of Sirt3 was decreased with the progression of degeneration. (C, D) The expression change of Sirt3 in IVDD was further confirmed by western blotting assay, which was accordance with the result of IHC. (E). The IF for mouse intervertebral disc tissue sections proved the down-regulated Sirt3 after IVDD. (F) The expression of Sirt3 was lower in HNP cells treated with TBHP. (G, H) The administration of TBHP for HNP cells made the Sirt3 expression dropped significantly compared with control group. (I) IHC results demonstrated the lower expression of GPX4 and FTH after IVDD. (J–M) The results of qPCR proved that the expression of ACSL4 and PTGS2 was enhanced while GPX4 and FTH was decreased after IVDD. (N, O) The result of WB further confirmed the above results. (P) ELISA proved that the ferric ion increased with the progression of IVDD. ∗ for p < 0:05, ∗∗ for p < 0:01, ∗∗∗for p < 0:001, ∗∗∗∗ for p < 0:0001.
PMC10149406
gr1.jpg
0.455381
ab5a15f22bb54f899a53bae65586f178
(A) HE staining showed the morphology of mice discs, more severe rupture between the annulus fibrosus and nucleus pulposus was observed in Sirt3−/− group. (B) SF staining proved that KO of Sirt3 was associated with more severe IVDD with internuclear fibrosis. (C) Histological grades were calculated based on HE staining and SF staining results. (D) IHC results revealed that higher expression of ADAMTS5 and MMP3 in Sirt3−/− group after 6 months from the construction of IVDD model was confirmed. (E) The co-immunofluorescence of ACAN and MMP3 for HNP cells indicated that KO of Sirt3 promoted higher expression of ACAN and lower expression of MMP3. (F) Enhanced expression of ADAMTS5 and MMP3 and down-regulated expression of ACAN and Col2 was observed in WB results. (G) Reduced signal intensity was observed in Sirt3−/− group, which proved that KO of Sirt3 leaded to more severe IVDD. (H–K) The qPCR results accorded with the results above. (L–O) Pain-related behavioral scores, including pressure tolerance, distance walked, total active time and maximum speed, were significantly compromised in Sirt3−/− group with increasing IVDD duration. ∗ for p < 0:05, ∗∗ for p < 0:01, ∗∗∗for p < 0:001, ∗∗∗∗ for p < 0:0001, ns for no significance.
PMC10149406
gr2.jpg
0.537857
832b515c63914a7fb9aa1e9ff6015c98
(A) Detailed information of the experimental group in the part of the experiment involving oxidative stress. (B, C) KO of Sirt3 could significantly decrease the expression of anti-oxidative stress genes (HO-1, NQO1, SOD2 and SCC7A11). (D) The superoxide was increased with increasing time of TBHP treatment, and higher superoxide was observed in Sirt3-KO group at each time point. (E–H) The above result was further confirmed by qPCR. (I) Mitochondrial superoxide was up-regulated after the treatment of TBHP, which was exacerbated by KO of Sirt3. (J) Detailed information of the experimental group in investigating the effect of KO of Sirt3 on oxidative stress-induced ferroptosis. (K, L) The WB result revealed that the expression of anti-ferroptosis genes (GPX4 and FTH) were decreased while pro-ferroptosis genes (PTGS2 and ACSL4) was increased in NP cells after treated with TBHP, the deletion of Sirt3 exacerbated ferroptosis induced by oxidative stress, which could be reversed by specific oxidative stress inhibitor NAC. (M) As shown in the result of ELISA, the content of MDA and ferric ion was increased significantly in Sirt3−/−, while GSH was dropped. (N, O) Non-peroxidative state shows red fluorescence, while peroxidative state shows green fluorescence in BODIPY assay. The result suggested that the level of lipid peroxidation was the most up-regulated in Sirt3 KO group after exposed to TBHP. (P) Mitochondrial morphology changed the most in Sirt3 KO accompanied with administration of TBHP, which was reversed partly by NAC. (Q–T) The result of qPCR was in accordance with the above results. ∗ for p < 0:05, ∗∗ for p < 0:01, ∗∗∗for p < 0:001, ∗∗∗∗ for p < 0:0001. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
PMC10149406
gr3.jpg
0.389958
00059368840449c1bf791dbda41f7d33
(A) The result of IP/MS demonstrated that USP11 was identified to be a putative protein binding to Sirt3. To further confirm the result of IP/MS, Co-IP analysis was conducted subsequently. (B) USP11 precipitated Sirt3 in NP cells, confirming the interaction of USP11 and Sirt3. (C) Reverse Co-IP revealed that USP11 was precipitated by Sirt3 in HP cells. The Co-IP analysis using epitope-tagged proteins was further performed. (D, E) the Co-IP test with exogenous Flag-tagged USP11, or Myc-tagged Sirt3 in HEK 293 T cells could precipitate endogenous Sirt3 or USP11, respectively. (F, G) Exogenous Flag-tagged USP11 and Myc-tagged Sirt3 could co-precipitate each other efficiently in HEK 293 T cells. (H) The data above proved the interactions of USP11 and Sirt3, which could be enhanced after IVDD. (I) The schematic diagram showed that USP11 and Sirt3 contains several domains. (J, K) Full length or truncated segments of Flag-USP11 and Myc-Sirt3 containing different domains were transfected in HEK 293 T cells to investigate the binding region. (L) The Co-IP revealed that the fragment containing DUSP domain of USP11 was able to bind Sirt3. (M) Reverse Co-IP proved that USP11 interacted with M2 domain of Sirt3.
PMC10149406
gr4.jpg
0.415071
026cae0454114db693b0cb35f5203139
(A) The expression of Sirt3 declined spontaneously with time in the presence of protein synthesis inhibitor cycloheximide (CHX, 10 μg/ml), which could be reversed by proteasome specific inhibitor MG132. Next, siRNA-USP11 or siRNA-Ctrl was transfected into HNP cells and the expression of Sirt3 was analyzed using immunoblotting. (B) The expression of Sirt3 dropped significantly after knockdown of USP11. (C) On the contrary, overexpression of USP11 stabilized the expression of Sirt3. (D) The results above were confirmed again in HEK 293 T cells. (E, F) Overexpression of normal USP11 could upregulate the Sirt3 expression, while overexpression of USP11 with C318S mutant did not. (G) The de-ubiquitination of Sirt3 was abolished effectively by knockdown of USP11. (H) HEK 293 T cells were co-transfected with plasmid of Flag-USP11, Myc-Sirt3 and HA-Ub. The results demonstrated that the deubiquitinate effect of USP11 on Sirt3 was proved. (I) The de-ubiquitination of Sirt3 was abolished in IVD in USP11−/− mice compared with wild mice. (J) Higher de-ubiquitination of Sirt3 and higher expression of Sirt3 was observed after IVDD in mice injected with AAV-USP11. (K) USP11 could cleave the Lys48-polyubiquitin chain instead of Lys63-polyubiquitin chain. (L). Lys48-linked poly-ubiquitination was necessary for de-ubiquitination of Sirt3 regulated by USP11.
PMC10149406
gr5.jpg
0.482359
a4f92985428643bda2a7fe6af89c6867
(A) Detailed information of the experimental group in the part of the experiment. (B, C) Ferroptosis events were exacerbated by knockdown of Sirt3, including increased expression of ACSL4 and PTGS2, and decreased expression of GPX4 and FTH, which could be ameliorated by overexpression of USP11. (D) ELISA revealed that contents of MDA and ferric ion in supernatant were surged significantly, but GSH dropped with statistical significance in siRNA-Sirt3 group, which could be reversed by co-transfected with plasmid-USP11. (E–H) The results of qPCR for ferroptosis-related genes showed the same trend. (I) After plasmid-USP11 treatment, the morphology of mitochondria maintained well, whereas pretreatment with siRNA-Sirt3resulted in a significant decrease in mitochondrial cristae. (J) The feature of BODIPY assay is that the higher the green fluorescence intensity, the higher the lipid peroxidation level. Thus, as presented, the level of lipid peroxidation was much higher after the treatment of siRNA-Sirt3, which was reversed partly by plasmid-USP11. (K, L) WB proved that siRNA-Sirt3 resulted in enhanced expressions of ADAMTS5 and MMP3 and down-regulated expressions of ACAN and Col2, while plasmid-USP11 could mitigate IVDD. (M − P) The results above were further confirmed using qPCR. ∗ for p < 0:05, ∗∗ for p < 0:01, ∗∗∗for p < 0:001, ∗∗∗∗ for p < 0:0001. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
PMC10149406
gr6.jpg
0.548147
a9d91ba001c14f628622e94fc54d5437
(A) Detailed information of the experimental group in the part of the experiment. (B, C) KO of USP11 resulted in more severe IVDD, indicated by disrupted boundary between NP and AF tissue and decreased NP cells. (D) IHC results revealed that ADAMTS5 and MMP3 were increased significantly after KO of USP11, while AAV-Sirt3 could improve IVDD both in WT and USP11−/− mice. (E) KO of USP11 resulted in increased expression of MMP3 (green fluorescence) and decreased expression of ACAN (red fluorescence), which was reversed partly by AAV-Sirt3. (F, G) WB further confirmed the protective effect of AAV-Sirt3 on IVDD induced by KO of USP11. (H–K) The results above were further confirmed by qPCR. (L–O) KO of USP11 resulting in poor pain-related behavioral scores was proved, which, however, could be improved by AAV-Sirt3. ∗ for p < 0:05, ∗∗ for p < 0:01, ∗∗∗for p < 0:001, ∗∗∗∗ for p < 0:0001. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
PMC10149406
gr7.jpg
0.413983
1b351efab40c4f8d85245d0fa80c8357
USP11 regulates oxidative stress-induced ferroptosis after IVDD by deubiquitinating Sirt3. Ferroptosis is associated closely with the process of IVDD. The direct interaction of USP11 and Sirt3 is a crucial molecular event that inhibit oxidative stress-induced ferroptosis, thus improves IVDD and relives pain reaction.
PMC10149406
gr8.jpg
0.435609
4744a6cfbd854441ad1ca2d3b8658eab
Visualization of Hospitals Red and Blue with corresponding time boundaries and supply.
PMC10149497
10.1177_03611981221095745-fig1.jpg
0.495912
15811d60fc4d42b19096ec76e668bc40
Number of visitors for each hospital during the first halves of 2019 and 2020, organized by visitor demographic.
PMC10149497
10.1177_03611981221095745-fig2.jpg
0.508283
777946e8d1c04a989101df7ba8720a88
Travel times to hospitals within the state of Texas.
PMC10149497
10.1177_03611981221095745-fig3.jpg
0.432935
9bcaba4b5fec40e58334ff3996435f06
Hospital desert index for the state of Texas.
PMC10149497
10.1177_03611981221095745-fig4.jpg
0.394481
ed540cdd6be74ae7b89ce60129c99597
Hospital desert index for the cities of Austin, Dallas-Fort Worth, San Antonio, and Houston.
PMC10149497
10.1177_03611981221095745-fig5.jpg
0.463633
36f8e271872f4e8994eeceeb348744cf
Patient selection flow chart. Inclusion criteria included those with complete RHC, PFT and MRI data and exclusion criteria included those with lung diseases not meeting criteria of major lung disease classes or those with coexisting disorders such as left heart disease. The classification of the derivation and test sets was according to the availability of their echocardiography data, where the derivation set of patients had no echocardiography measures. PH: pulmonary hypertension; RHC: right heart catheter; RFT: pulmonary function tests; MRI: magnetic resonance imaging.
PMC10149807
fcvm-10-1016994-g001.jpg
0.488048
38eb06c1f95142b48143e0f36c013027
Example cardiac MRI images in patients with mPAP below (left) or above (right) 35 mmHg: PA area (A, B), systolic septal angle (C, D) and VMI (E, F). The patient with severe PH (right) had much larger systolic and diastolic PA areas, systolic septal curvature and VMI than the patient with mild-moderate PH (left). mPAP: mean pulmonary artery pressure; CLD: chronic lung disease; PH: pulmonary hypertension; PA: pulmonary artery; VMI: ventricular mass index; MRI: magnetic resonance imaging.
PMC10149807
fcvm-10-1016994-g002.jpg
0.446748
100d0cdca7084b32928233493cceea52
ROC curves for performance of models in severe PH (mPAP ≥ 35 mmHg OR mPAP >25 and CI < 2l/min/m2). ROC: receiver operating characteristic curve; AUC: area under the ROC curve; mPAP: mean pulmonary artery pressure; CI: cardiac index; CLD: chronic lung disease; PH: pulmonary hypertension; MRI: magnetic resonance imaging.
PMC10149807
fcvm-10-1016994-g003.jpg
0.403727
bb42d352dd4c4012b1863ca3c3ef8622
Kaplan meier of whitfield and lung disease CLD-PH MRI model and the RHC measured mPAP. There is an increased mortality above the selected thresholds of Whitfield model, CLD-PH MRI model and RHC-measured mPAP for both definitions of severe PH according to the ESC/ERS guidelines. mPAP: mean pulmonary artery pressure; PVR: pulmonary vascular resistance; CI: cardiac index; CLD: chronic lung disease; PH: pulmonary hypertension; RHC: right heart catheter; MRI: magnetic resonance imaging.
PMC10149807
fcvm-10-1016994-g004.jpg
0.458574
9d9bca23f2a440c3aaa50aa44d9db930
Changes in mean arterial pressure from period A to B. Period A was defined as the average from reversal, and both 2 and 5 min after reversal. Period B was defined as the average from 10 to 15 min after reversal.
PMC10150384
fneur-14-1045847-g0001.jpg
0.474709
0054b813c5e44d71b0ce537378153558
Changes in heart rate from period A to B. Period A was defined as the average from reversal, and both 2 and 5 min after reversal. Period B was defined as the average from 10 to 15 min after reversal.
PMC10150384
fneur-14-1045847-g0002.jpg
0.419878
5d187b0cf89a46a19d630aa63bdc8e67
Study flow.
PMC10151484
fpubh-11-1079241-g001.jpg
0.450748
88e5d410c80641979de106c1c7e75c27
Placement and design of the poster.
PMC10151484
fpubh-11-1079241-g002.jpg
0.431099
c21fd7f30e6448b09b67958ceeedb198
Geographical distribution of countries represented in the dataset. Each country with at least one patient with PID responding to the survey is colored in red.
PMC10151802
fimmu-14-1166198-g001.jpg
0.431126
8ec116122f3143348ad0a4bc338f57fb
Type of COVID-19 vaccine per dose used in patients with PID that responded to the survey.
PMC10151802
fimmu-14-1166198-g002.jpg
0.525709
32f76f0ac8c74c828e4cb98aeea0efe3
Self-reported reasons for hesitancy to get vaccinated against COVID-19 in patients with PID.
PMC10151802
fimmu-14-1166198-g003.jpg
0.426171
17141340a96448849fabae13e5c96e77
Percentages of patients with PID reporting local and systemic adverse events after COVID-19 vaccination.
PMC10151802
fimmu-14-1166198-g004.jpg
0.425481
44ce167551114a7794e01d5dd1a900b1
SARS-CoV-2 positivity rate in newly arrived migrants over the period of observation
PMC10152432
12992_2023_926_Figa_HTML.jpg
0.526611
aa325c1e151b482b945652bca399c487
Origins of ctDNA and technologies for ctDNA MRD detection. Top panel: ctDNA, released from tumor cells via apoptosis, necrosis, and active secretion, can be extracted from the plasma of patients with cancer. Tumor-associated genetic aberrations can be analyzed in the isolated ctDNA. Bottom panel: Several different technologies for ctDNA MRD analysis in solid tumor patients with definitive therapy.cfDNA, cell-free DNA; ctDNA, circulating tumor DNA; MRD, minimal residual disease; NGS, next-generation sequencing; AS-PCR, allele-specific PCR; ddPCR, droplet digital PCR; BEAMing-PCR, Beads, Emulsions, Amplification, and Magneticsing PCR; Safe-SeqS, Safe-Sequencing; CAPP-Seq, Cancer Personalized Profiling by Deep Sequencing; PhasED-Seq, Phased variant Enrichment and detection Sequencing; WGS, whole-genome sequencing; WES, whole-exome sequencing.
PMC10152452
or-49-05-08543-g00.jpg
0.487423
94b2171a5b74413d98e31c1344415fe0
Performances of ctDNA-based MRD approaches in various types of solid tumors. ctDNA, circulating tumor DNA; MRD, minimal residual disease; HNSCC, head and neck squamous cell carcinoma; PDAC, pancreatic ductal adenocarcinoma; CAPP-Seq, Cancer Personalized Profiling by deep Sequencing; TARDIS, targeted digital sequencing; Safe-SeqS, Safe-Sequencing System; cSMART, circulating single-molecule amplification and resequencing technology.
PMC10152452
or-49-05-08543-g01.jpg
0.432619
0fec28641c93431caf0ea0fb1496566b
Overview of variables and considerations of preanalytical and analytical steps in ctDNA MRD measurements. RT, room temperature; IQC, internal quality control; EQA, external quality assessment.
PMC10152452
or-49-05-08543-g02.jpg
0.582986
da663aaf8e334a1ba4af854861265917
The illustration of the postural controller feedback loop is studied in this paper.The body’s dynamical system is activated by control input u(t) and affected by disturbances w(t). The sensory system receives the motion dynamic x(t) and transfers it to neuromuscular contorted by noise v(t) and time delay td. The delayed sensory information and a buffer of the control input up to the current time u(t) are used in the neuromuscular by EKF method to estimate delayed states. The optimal controller block refers to all optimal methods explained in this work. The reference angular position xref(t) = 0 is considered zero degrees in an upright stance.
PMC10153747
pone.0285098.g001.jpg
0.438707
c277d3d3aae645ffa8f655175dadef2f
Illustration of two joints dynamical model of the human body in standing position.qa and qh represent the angular position of the ankle and hip joints respectively. COM is the location of the center of the system’s total mass, while m1 and m2 are the mass of the lower body and upper body respectively. Lf is the length of the foot.
PMC10153747
pone.0285098.g002.jpg
0.416553
0c073b0ca2774d638e4b91736a9e2a3a
Phase portraits comparison of the mentioned methods for the ankle joint.The solid black line indicates the small perturbation and the dashed red line illustrates the higher perturbation.
PMC10153747
pone.0285098.g003.jpg
0.466004
924161fe3be144a383dfa327170cbbef
Phase portraits comparison of the mentioned methods for the hip joint.The solid black line indicates the small perturbation and the dashed red line illustrates the higher perturbation.
PMC10153747
pone.0285098.g004.jpg
0.392569
1b0bbed7f13d48acb72059acfd7e01af
Energy consumption at each joint for different methods.
PMC10153747
pone.0285098.g005.jpg
0.418233
4cb0497f4a0e44f9939e25e61969e9ed
Hip versus ankle joints torque for different methods.The solid black line indicates the small perturbation and the red dashed line indicates the higher perturbation.
PMC10153747
pone.0285098.g006.jpg
0.40482
81bd5d43c20c408fb9d354cc1a272898
One step ahead prediction of COP with different methods.The subject body parameters are M = 67 kg, L = 1.68 m. The noise is estimated as white noise with a standard deviation of 0.005. The reaction time of the subject is 0.310 s.
PMC10153747
pone.0285098.g007.jpg
0.434909
cc6ccdc3f4d44ba79e982f40243bd661
COP validation of measured experimental data of a random subject in the data set with the result of the generated COP of each method for the total time of the prediction.The subject body parameters are M = 67 kg, L = 1.68 m. The noise is estimated as white noise with a standard deviation of 0.005. The reaction time of the subject is 0.310 s.
PMC10153747
pone.0285098.g008.jpg
0.375252
ef3bc9842faa4717a37c2c009ab56ba3
PSD comparison of measured experimental data of a random subject in the data set and the mentioned methods.
PMC10153747
pone.0285098.g009.jpg
0.379264
ea770c95ed4c4a44aeb1b943ee5c5148
Evolution of changing controllers gain in IPD controller.The upper plot shows the effect of gain change on the total energy consumption in the joints and the RMSE. The lower plot represents the effect on the joints’ torques and standing strategy.
PMC10153747
pone.0285098.g010.jpg
0.479211
05342d5421254b0fa80742895a1cec3a
Evolution of changing weights in the optimization of the MPC controller.The upper plot shows the effect of gain change on the total energy consumption in the joints and the RMSE. The lower plot represents the effect on the joints’ torques and standing strategy.
PMC10153747
pone.0285098.g011.jpg
0.420275
2285f8607e044366ac6f36cea675f020
Evolution of changing the COP distance error’s weight (α) inCOP-BC controller.The upper plot shows the effect of gain change on the total energy consumption in the joints and the RMSE. The lower plot represents the effect on the joints’ torques and standing strategy.
PMC10153747
pone.0285098.g012.jpg
0.436304
118f7c86d64647abb9bc49d19d2512df
Testing Common-trend Assumption.The regression coefficients of interaction terms between the lag of benchmark pricing factors and yearly fixed effects are plotted in sub-figures. In the figure, the coefficients before the trade war fluctuates around 0.044, −0.3, −0.004, and 0.293 for M, BR, BM, and MKTR, respectively. As shown, there is no heterogeneous time trend before COVID-19 after controlling for other variables, suggesting that the relationship between benchmark pricing factors and returns is constant before COVID-19.
PMC10155417
gr1_lrg.jpg
0.51982
59885c7c51ca4011a40fffaaa9c320d5
Impact Factor and CiteScore of IJO over the years (2011 to 2022) show a rising trend
PMC10155555
IJO-71-1-g001.jpg
0.393132
6f3dbf805e0240ee9572d21131adb543
Annual citations for manuscripts published in IJO over the years (2011 to 2022) show a steeply rising trend
PMC10155555
IJO-71-1-g002.jpg
0.513237
67a295bc198948a8b772da06535a7c23
SCIMAGO Country Ranking in ophthalmic publications, 2021
PMC10155555
IJO-71-1-g003.jpg
0.473213
4d40c724a88a42ad8febfc4f0a7abdd3
Design of the Punctal plug uploaded on thingiverse.com. The design was made on the 3D designing application FreeCAD (original)
PMC10155558
IJO-71-297-g001.jpg
0.386292
bafffdc487bd4703a01bf50340332d2c
Flowchart depicting the steps involved in the process of 3D printing. (original)
PMC10155558
IJO-71-297-g002.jpg
0.462296
01aaf47728f8497b97d1b4d9af3022bc
The resultant 3D printed Punctal Plug held by a 26 gauge size needle tip seen under a slit lamp microscope (original)
PMC10155558
IJO-71-297-g003.jpg
0.493712
5039527986904aab8fecde66da2afa9c
PRISMA Flowchart (32).
PMC10157033
fcdhc-04-1177030-g001.jpg
0.429473
5eb51dd200c240009898e1e2324ca5b2
Forest plot of meta-analysis for effect of sSMBG versus control (usual unstructured or no SMBG) on HbA1c (%). Data are mean difference (95% confidence internal). Note. DiGEM (51) includes two treatment arms relative to control referred to as Farmer 2007 T1 and T2. NA, Not applicable.
PMC10157033
fcdhc-04-1177030-g002.jpg
0.436778
2e4666586159413cbb0f6a8380c5e618
A basic illustration of the midline approach types. (a) The transvermian approach: a midline incision of the inferior half of the cerebellar vermis and retracting the two halves exposing a tumor in the fourth ventricle. (b) The (unilateral) telovelar approach: lateral retraction of the right cerebellar tonsil and opening the tela choroidea exposing a tumor in the fourth ventricle.
PMC10159312
SNI-14-124-g001.jpg
0.437209
c29ee9ac35a04e4183f8759640610a57
Forest plots showing no significant risk between utilizing the telovelar over the transvermian for (a) postoperative cranial nerve defects, (b) gait/focal motor defects, (c) postoperative speech/ swallowing defects, or (d) postoperative hydrocephalus following fourth ventricle tumor resection. CN: Cranial nerve, FM: Focal motor, S/S: Speech/swallowing, CI: Confidence interval, M-H: Mantel-haenszel, P: P-value, df: degrees of freedom, Z: Cohen’s D effect size.
PMC10159312
SNI-14-124-g002.jpg