A Protein Phosphorylation Threshold for Functional Stacking of Plant Photosynthetic Membranes

Phosphorylation of photosystem II (PSII) proteins affects macroscopic structure of thylakoid photosynthetic membranes in chloroplasts of the model plant Arabidopsis. In this study, light-scattering spectroscopy revealed that stacking of thylakoids isolated from wild type Arabidopsis and the mutant lacking STN7 protein kinase was highly influenced by cation (Mg++) concentrations. The stacking of thylakoids from the stn8 and stn7stn8 mutants, deficient in STN8 kinase and consequently in light-dependent phosphorylation of PSII, was increased even in the absence of Mg++. Additional PSII protein phosphorylation in wild type plants exposed to high light enhanced Mg++-dependence of thylakoid stacking. Protein phosphorylation in the plant leaves was analyzed during day, night and prolonged darkness using three independent techniques: immunoblotting with anti-phosphothreonine antibodies; Diamond ProQ phosphoprotein staining; and quantitative mass spectrometry of peptides released from the thylakoid membranes by trypsin. All assays revealed dark/night-induced increase in phosphorylation of the 43 kDa chlorophyll-binding protein CP43, which compensated for decrease in phosphorylation of the other PSII proteins in wild type and stn7, but not in the stn8 and stn7stn8 mutants. Quantitative mass spectrometry determined that every PSII in wild type and stn7 contained on average 2.5±0.1 or 1.4±0.1 phosphoryl groups during day or night, correspondingly, while less than every second PSII had a phosphoryl group in stn8 and stn7stn8. It is postulated that functional cation-dependent stacking of plant thylakoid membranes requires at least one phosphoryl group per PSII, and increased phosphorylation of PSII in plants exposed to high light enhances stacking dynamics of the photosynthetic membranes

Determining the reference range of blood presepsin in term and preterm neonates

Introduction Sepsis is still a major cause of morbidity and mortality in neonates, especially in preterm infants. Mortality can reach 60-70% in very low birth weight infants (birthweight 0.20). This reduced model explains 3.8% of the total sum of squares. After adjustment for all the factors in the model, presepsin levels appear to be significantly lower in twins (496 pg/ml \uf0b1 65.5 vs 655 pg/ml \uf0b1 11.8) and in neonates with Apgar at 1 min 658 (644 pg/ml \uf0b1 11.8 vs 774 pg/ml \uf0b1 56.2). So none of the above factors seems worth to be taken into account in determining the reference limits for presepsin blood levels in healthy term neonates. Preterm neonates. The largest differences in presepsin level are observed between small for gestational age (SGA) (903 pg/ml \uf0b1 57.1) and adequate for gestational age (AGA) neonates (703 pg/ml \uf0b1 26.7), between neonates with and without mechanical ventilation at blood sampling (1090 pg/ml \uf0b1 86.9 vs 711 pg/ml \uf0b1 24.7) and at delivery (855 pg/ml \uf0b1 87.3 vs 729 pg/ml \uf0b1 25.8), between neonates with and without venous catether (801 pg/ml \uf0b1 47.5 vs 716 pg/ml \uf0b1 28.9), between neonates who underwent blood sampling after the 4th day or before (797 pg/ml \uf0b1 46.2 vs 716 pg/ml \uf0b1 29.2), between males and females (778 pg/ml \uf0b1 35.1 vs 701 pg/ml \uf0b1 34.7). All these factors, when simultaneously introduced into a multivariable linear model, explain only 18.8% of the total sum of squares. A second multivariable linear model was fitted after removing the factors that showed the lowest effect on presepsin level (those associated with a p-value >0.50). This reduced model explains 13.4% of the total sum of squares. A third and more parsimonious multivariable linear model was fitted after removing the factors that showed the lowest effect on presepsin level (those associated with a p-value >0.20). This reduced model explains 12.3% of the total sum of squares. After adjustment for all the factors in the model, presepsin levels result to be significantly lower in AGA neonates (706 pg/ml \uf0b1 25.7 vs 890 pg/ml \uf0b1 55.0) and between neonates with and without mechanical ventilation at blood sampling (1074 pg/ml \uf0b1 85.3 vs 712 pg/ml \uf0b1 24.2). Even in this case, none of the above factors is expected to substantially affect the reference limits for presepsin blood levels in preterm neonates. Conclusion Presepsin blood levels seem to be quite independent of most of maternal and neonatal conditions examined in this study both in preterm and term neonates. The factors exerting significant effects (multiple birth and Apgar at 1 min, in term neonates, weight by gestational age and mechanical ventilation in preterm neonates) are expected to affect presepsin reference limits only to minor extent. References [1] Evaluation of a newly identified soluble CD14 subtype as a marker for sepsis. Yaegashi Y., Shirakawa K., Sato N., Suzuki Y., Kojika M., Imai S., Takahashi G., Miyata M., Furusako S., Endo S. J Infect Chemother. 2005;11:234-8. [2] CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infection in the acute care setting. Horan T.C., Andrus M., Dudeck M.A. Am J Infect Control. 2008;36:309-32

Usefulness of Presepsin (Soluble CD14 Subtype) in the Diagnosis of Neonatal Sepsis

Background: Sepsis is a major cause of morbidity and mortality in neonates. Recently, presepsin (soluble CD14 subtype) has been shown to be beneficial as sepsis marker in adults. Nevertheless, few data are available in neonates. Objective: To evaluate the diagnostic accuracy of presepsin as a marker of sepsis in the neonatal period. Design/Methods: All neonates with clinical signs of sepsis admitted to our Unit during a 18\uacmonths period were consecutively enrolled. CDC criteria were used to identify neonates with a suspected sepsis. The subjects enrolled in the study were then classified into 3 groups according to Goldstein's and Wynn's definitions: group 1, infection\u37e group 2, sepsis\u37e group 3, septic shock. To measure presepsin, 100 microliters of blood were collected at the following times: at the onset of clinical signs of sepsis (T0), every 12 h for the next 48 h (T1, T2, T3, T4), and at the end of antibiotic therapy (T5). C\uacreactive protein (CRP) was determined at the same times. Presepsin levels were determined using PathfastTM System (LSI Medience Corporation, Japan/Mitsubishi Chemical Europe). Results: We enrolled 110 neonates: 36 in group 1 (mean GA 34.6 wks, mean BW 2403 g), 59 in group 2 (mean GA 31 wks, mean BW 1615 g) and 15 in group 3 (mean GA 30.2 wks, mean BW 1441 g). Overall, median presepsin value was 1146 pg/ml at T0, higher than the values we previously reported in healthy neonates (PAS Meeting 2015), and decreased over time to 726 pg/ml at T5. Presepsin levels were significantly higher in neonates with sepsis and in those with septic shock than in the others at T0, T1, T2, T3, and T4 (p < .05). Additionally, neonates with septic shock had higher levels of presepsin than those with sepsis at all times. At enrollment, median presepsin value was 874 pg/ml, 1277 pg/ml, and 1928 pg/ml in group 1, 2, and 3 respectively. No significant difference was found in CRP values among the 3 groups at enrollment. The area under the ROC curve for presepsin at enrollment was 0.839 (95% CI: 0.79\uac0.88). Maximum Youden index was at a cut\uacoff value of 865 pg/ml, corresponding to 75% sensitivity and 80% specificity. Conclusions: According to our results, presepsin appears an accurate biomarker for the diagnosis of neonatal sepsis and it seems to be earlier than CRP in identifying sepsis and septic shock

Role of Plastid Protein Phosphatase TAP38 in LHCII Dephosphorylation and Thylakoid Electron Flow

Regulation of photosynthesis efficiency involves reversible phosphorylation of the light-harvesting complex through the activity of the newly identified phosphatase TAP38

Differential Phosphorylation of Ribosomal Proteins in Arabidopsis thaliana Plants during Day and Night

Protein synthesis in plants is characterized by increase in the translation rates for numerous proteins and central metabolic enzymes during the day phase of the photoperiod. The detailed molecular mechanisms of this diurnal regulation are unknown, while eukaryotic protein translation is mainly controlled at the level of ribosomal initiation complexes, which also involves multiple events of protein phosphorylation. We characterized the extent of protein phosphorylation in cytosolic ribosomes isolated from leaves of the model plant Arabidopsis thaliana harvested during day or night. Proteomic analyses of preparations corresponding to both phases of the photoperiod detected phosphorylation at eight serine residues in the C-termini of six ribosomal proteins: S2-3, S6-1, S6-2, P0-2, P1 and L29-1. This included previously unknown phosphorylation of the 40S ribosomal protein S6 at Ser-231. Relative quantification of the phosphorylated peptides using stable isotope labeling and mass spectrometry revealed a 2.2 times increase in the day/night phosphorylation ratio at this site. Phosphorylation of the S6-1 and S6-2 variants of the same protein at Ser-240 increased by the factors of 4.2 and 1.8, respectively. The 1.6 increase in phosphorylation during the day was also found at Ser-58 of the 60S ribosomal protein L29-1. It is suggested that differential phosphorylation of the ribosomal proteins S6-1, S6-2 and L29-1 may contribute to modulation of the diurnal protein synthesis in plants

Substituent Effects in the Noncovalent Bonding of SO2 to Molecules containing a Carbonyl Group. The Dominating Role of the Chalcogen Bond

The SO2 molecule is paired with a number of carbonyl-containing molecules, and the properties of the resulting complexes are calculated by high-level ab initio theory. The global minimum of each pair is held together primarily by a S···O chalcogen bond wherein the lone pairs of the carbonyl O transfer charge to the π* antibonding SO orbital, supplemented by smaller contributions from weak CH···O H-bonds. The binding energies vary between 4.2 and 8.6 kcal/mol, competitive with even some of the stronger noncovalent forces such as H-bonds and halogen bonds. The geometrical arrangement places the carbonyl O atom above the plane of the SO2 molecule, consistent with the disposition of the molecular electrostatic potentials of the two monomers. This S···O bond differs from the more commonly observed chalcogen bond in both geometry and origin. Substituents exert their influence via inductive effects that change the availability of the carbonyl O lone pairs as well as the intensity of the negative electrostatic potential surrounding this atom

Effects of Charge and Substituent on the S∙∙∙N Chalcogen Bond

Neutral complexes containing a S···N chalcogen bond are compared with similar systems in which a positive charge has been added to the S-containing electron acceptor, using high-level ab initio calculations. The effects on both XS···N and XS+···N bonds are evaluated for a range of different substituents X = CH3, CF3, NH2, NO2, OH, Cl, and F, using NH3 as the common electron donor. The binding energy of XMeS···NH3 varies between 2.3 and 4.3 kcal/mol, with the strongest interaction occurring for X = F. The binding is strengthened by a factor of 2–10 in charged XH2S+···NH3 complexes, reaching a maximum of 37 kcal/mol for X = F. The binding is weakened to some degree when the H atoms are replaced by methyl groups in XMe2S+···NH3. The source of the interaction in the charged systems, like their neutral counterparts, is derived from a charge transfer from the N lone pair into the σ*(SX) antibonding orbital, supplemented by a strong electrostatic and smaller dispersion component. The binding is also derived from small contributions from a CH···N H-bond involving the methyl groups, which is most notable in the weaker complexes