Lipid shape and packing are key for optimal design of pH-sensitive mRNA lipid nanoparticles.

The ionizable-lipid component of RNA-containing nanoparticles controls the pH-dependent behavior necessary for an efficient delivery of the cargo-the so-called endosomal escape. However, it is still an empirical exercise to identify optimally performing lipids. Here, we study two well-known ionizable lipids, DLin-MC3-DMA and DLin-DMA using a combination of experiments, multiscale computer simulations, and electrostatic theory. All-atom molecular dynamics simulations, and experimentally measured polar headgroup pKa values, are used to develop a coarse-grained representation of the lipids, which enables the investigation of the pH-dependent behavior of lipid nanoparticles (LNPs) through Monte Carlo simulations, in the absence and presence of RNA molecules. Our results show that the charge state of the lipids is determined by the interplay between lipid shape and headgroup chemistry, providing an explanation for the similar pH-dependent ionization state observed for lipids with headgroup pKa values about one-pH-unit apart. The pH dependence of lipid ionization is significantly influenced by the presence of RNA, whereby charge neutrality is achieved by imparting a finite and constant charge per lipid at intermediate pH values. The simulation results are experimentally supported by measurements of α-carbon 13C-NMR chemical shifts for eGFP mRNA LNPs of both DLin-MC3-DMA and DLin-DMA at various pH conditions. Further, we evaluate the applicability of a mean-field Poisson-Boltzmann theory to capture these phenomena.

Relations between concussion symptoms and depression among patients with mild traumatic brain injury: A moderated mediation model.

INTRODUCTION: Concussion symptoms following a traumatic accident are both common and known to adversely affect mental health and recovery in patients with traumatic brain injury. Depression, highly prevalent among patients with traumatic brain injury, is also associated with the important factors of sleep quality and resilience. However, the mediator and moderator roles of depression following concussion in patients with traumatic brain injury have been underexplored. The aims of this study were to investigate the mediating role of sleep quality in the relation between concussion symptoms and depression and to examine the moderating effect of resilience on this mediated model. DESIGN: Cross-sectional pretest data analysis of a randomized controlled trial. METHODS: A total of 249 adult patients with mild traumatic brain injury (Glasgow Coma Scale 13-15) at admission following brain injury were surveyed at a medical center in Taipei, Taiwan. The outcome variables were concussion symptoms (Rivermead Post-Concussion Symptom Questionnaire), sleep quality (Pittsburgh Sleep Quality Index), resilience (Resilience Scale for Adults), and depression (Beck Depression Inventory II). These data were analyzed using moderated mediation regressions with the SPSS PROCESS macro. RESULTS: In patients with mild traumatic brain injury, there was a significant positive relation between concussion symptoms and depression, of which sleep quality was a significant mediator. Additionally, resilience had a negative moderating effect on the relations between sleep quality and depression. Patients with less resilience showed a stronger negative effect of sleep quality on depression. CONCLUSION: Our findings suggest that ameliorating both concussion symptoms and sleep disturbance is important for reducing the risk of depression in patients with mild traumatic brain injury, especially in those patients with less resilience. CLINICAL RELEVANCE: It is essential for clinical nurses to develop interventions for patients with mild traumatic brain injury that will improve their sleep quality, while strengthening their resilience, to alleviate depression.

Structure adaptation in Omicron SARS-CoV-2/hACE2: Biophysical origins of evolutionary driving forces.

Since its emergence, the COVID-19 threat has been sustained by a series of transmission waves initiated by new variants of the SARS-CoV-2 virus. Some of these arise with higher transmissivity and/or increased disease severity. Here, we use molecular dynamics simulations to examine the modulation of the fundamental interactions between the receptor binding domain (RBD) of the spike glycoprotein and the host cell receptor (human angiotensin-converting enzyme 2 [hACE2]) arising from Omicron variant mutations (BA.1 and BA.2) relative to the original wild-type strain. Our key findings are that glycans play a vital role at the RBD···hACE2 interface for the Omicrons, and the interplay between glycans and sequence mutations leads to enhanced binding. We find significant structural differences in the complexes, which overall bring the spike protein and its receptor into closer proximity. These are consistent with and attributed to the higher positive charge on the RBD conferred by BA.1 and BA.2 mutations relative to the wild-type. However, further differences between subvariants BA.1 and BA.2 (which have equivalent RBD charges) are also evident: mutations reduce interdomain interactions between the up chain and its clockwise neighbor chain in particular for the latter, resulting in enhanced flexibility for BA.2. Consequently, we see occurrence of additional close contacts in one replica of BA.2, which include binding to hACE2 by a second RBD in addition to the up chain. Although this motif is not seen in BA.1, we find that the Omicrons can directly/indirectly bind a down-RBD to hACE2 through glycans: the role of the glycan on N90 of hACE2 switches from inhibiting to facilitating the binding to Omicron spike protein via glycan-protein lateral interactions. These structural and electrostatic differences offer further insight into the mechanisms by which viral mutations modulate host cell binding and provide a biophysical basis for evolutionary driving forces.

Surgical Outcomes and Quality of Care Among Adult Appendicitis Patients: A Comparative Study of Tertiary Care Hospitals and Regional Hospitals.

BACKGROUND: Acute appendicitis is one of the most common abdominal emergencies, with management approaches that vary depending on the available resources and setting. However, there is a lack of studies on the differences of surgical outcomes and quality of care between tertiary care hospitals and regional hospitals. METHODS: This multicenter retrospective study included 2158 consecutive adult patients between January 2014 and June 2018 at three hospitals. The patient cohort was divided into regional hospital group (N = 1223) and tertiary care hospital group (N = 935). Baseline characteristics and perioperative outcomes were compared, and factors associated with surgical delay and postoperative complication were investigated. RESULTS: Patients in tertiary care hospital group had longer surgical waiting time (17.3 vs. 12.0 h, p < 0.001), higher risks of surgical delay exceeding 24 h (OR = 2.94, 95% CI 2.17-4.01, p < 0.001), longer operation time (64 vs. 50 min, p < 0.001), more appendix perforation (22.4 vs. 13.3%, p < 0.001), and higher hospital cost compared with regional hospital group. In multivariate analysis, factors associated with surgical delay were tertiary care hospital (OR = 2.94, 95% CI 2.18-4.01, p < 0.001) and delay diagnosis (OR = 18.7, 95% CI 11.7-30.1, p < 0.001), while those associated with postoperative complications were older age (OR = 1.02, 95% CI 1.00-1.04, p = 0.013), male sex (OR = 2.38, 95% CI 1.11-5.52, p = 0.031), surgical delay (OR = 2.99, 95% CI 1.30-6.47, p = 0.007), and appendix perforation (OR = 5.61, 95% CI 2.72-11.85, p < 0.001). CONCLUSIONS: Patients at tertiary care hospitals had longer waiting time, more surgical delays, and appendix perforations, and these were risk factors of postoperative complications. Establishing an effective referral system to redirect appendicitis patients with less complex medical histories from tertiary care hospitals to regional hospitals may enhance the quality of patient care and outcomes, while also reducing medical costs.

Safety and Effectiveness of Single Session Mega Volume Fat Grafting for Breast Augmentation: A Space-Creating Concept and Clinical Experiences.

BACKGROUND: The main drawback of fat transfer breast augmentation is the need for multiple sessions of fat injection. For approximately 15 years, stem cells and the Brava device for breast expansion have been discussed and extensively investigated to address relevant challenges. However, the safety and effectiveness of autologous fat transfer as a single-session primary breast augmentation technique has not yet been standardized. OBJECTIVES: The aim of this study was to achieve mega volume fat breast augmentation in a single session by developing a "space-creating" approach that emphasizes the use of highly purified fat to achieve an optimized surgical outcome with large-volume breast augmentation. METHODS: Female patients who underwent aesthetic breast augmentation (October 2013-October 2020) involving the application of this space-creating technique for mega volume autologous fat transfer were retrospectively enrolled. Inclusion criteria were patients with hypomastia, breast asymmetry, and volume replacement following implant removal with BMI ≥18.5 kg/m2. After macrospace creation, highly purified fat was injected in several rounds during the procedure. A breast massage was performed between each stage (microspace creation). Breast circumference, nipple-inframammary fold distance, and cup size were recorded during 6 months of follow-up. RESULTS: Three hundred fifty-eight patients met the inclusion criteria. Average fat injection volumes of 510.9 mL in the right breast and 490.8 mL in the left breast resulted in at least a 2 cup size increase. The significant outcome remained stable at 6 months after surgery. CONCLUSIONS: The space-creating technique and the injection of highly purified fat achieves stable cosmetic outcomes of mega volume breast augmentation in a single session.

Rhodiola crenulata reduces ventricular arrhythmia through mitigating the activation of IL-17 and inhibiting the MAPK signaling pathway.

PURPOSE: Ventricular arrhythmia (VA) is related to inflammatory activity. Rhodiola crenulate (RC) and its main active component, salidroside, have been reported as anti-inflammatory agents. The aim of this study was to demonstrate the effect of RC and salidroside in preventing VA via the inhibition of IL-17 in an ischemic heart failure (HF) model. METHODS: Rabbit HF models were established by coronary artery ligation for 4 weeks. These rabbits were treated with RC (125, 250, 500 mg/kg) and salidroside (9.5 mg/kg) once every 2 days for 4 weeks. WBC, serum biochemistry, ECG, and the expression of CD4+ T cells were measured every 2 weeks. The mRNA and protein expressions of IL-17 were measured by real time-PCR, ELISA, and Western blotting after RC and salidroside treatment for 4 weeks. Open-chest epicardial catheter stimulation was performed for VA provocation. RESULTS: After RC and salidroside treatment in HF left ventricle, (1) the levels of WBC and CD4+ T cells decreased, (2) the expression of IL-17 and its downstream target genes, IL-6, TNF-α, IL-1ß, IL-8, and CCL20, reduced, (3) the level of NLRP3 inflammasome was decreased, (4) fibrosis and collagen production were significantly downregulated, (5) p38 MAPK and ERK1/2 phosphorylation were attenuated, (6) the inducibility of VA was decreased, and (7) the levels of Kir2.1, Nav1.5, NCX, PLB, SERCA2a and RyR were up-regulated. CONCLUSIONS: RC inhibited the expression of IL-17 and its downstream target genes that were mediated by activation of several MAPKs, which decreased the levels of fibrosis and apoptosis and suppressed VA.

Resistin as a Biomarker for the Prediction of Left Atrial Substrate and Recurrence in Patients with Drug-Refractory Atrial Fibrillation Undergoing Catheter Ablation.

Resistin is an adipocytokine that is abundantly secreted from lipid cells and is related to the inflammatory process and cardiometabolic diseases. This study aimed to examine the role of resistin on inflammation and its effect on the clinical outcome of patients with atrial fibrillation (AF) following catheter ablation.A total of 108 patients (56.9 ± 12.0 years, 76.8% male) with symptomatic and drug-refractory AF undergoing catheter ablation were enrolled. Inflammatory biomarkers and epicardial fat volume by contrast computed tomography (CT) images were assessed in all patients before the procedure. Baseline resistin correlated with epicardial fat volume, tumor necrosis factor-α (TNF-α), and left atrial (LA) scar area. After the index procedure, the univariate analysis revealed that hypertension, persistent AF, LA diameter, and plasma resistin level were related to recurrent atrial arrhythmia. Multivariate regression analysis revealed that persistent AF, LA diameter, and plasma resistin level all independently predicted recurrent atrial arrhythmia after ablation. Plasma resistin with a level higher than 777 (pg/mL) could predict recurrence following catheter ablation of AF.High plasma resistin level is associated with poor left atrial substrate, high epicardial fat volume, and elevated TNF-α level in patients with AF. Plasma resistin may predict the recurrence of atrial arrhythmia after ablation.

Modulation of Antimicrobial Peptide Potency in Stressed Lipid Bilayers.

It is shown that the tendency of an archetypal antimicrobial peptide to insert into and perforate a simple lipid bilayer is strongly modulated by tensile stress in the membrane. The results, obtained through molecular dynamics simulations, have been demonstrated with several lipid compositions and appear to be general, although quantitative details differ. The findings imply that the potency of antimicrobial peptides may not be a purely intrinsic chemical property and, instead, depends on the mechanical state of the target membrane.

Shorter Leukocyte Telomere Length Is Associated With Atrial Remodeling and Predicts Recurrence in Younger Patients With Paroxysmal Atrial Fibrillation After Radiofrequency Ablation.

BACKGROUND: Telomere length is a biologic aging marker. This study investigated leukocyte telomere length (LTL) as a new biomarker to predict recurrence after paroxysmal atrial fibrillation (PAF) ablation.Methods and Results:A total of 131 participants (26 healthy individuals and 105 symptomatic PAF patients) were enrolled. PAF patients (54.1±10.8 years) who received catheter ablation therapy were divided into 2 groups: recurrent AF (n=25) and no recurrent AF after catheter ablation (n=80). Peripheral blood mononuclear cells were collected from all subjects to measure LTL. Under 50 years old, LTL in healthy individuals (n=17) was longer than in PAF patients (n=31; 7.34±0.58 kbp vs. 6.44±0.91 kbp, P=0.01). In PAF patients, LTL was positively correlated with left atrial bipolar voltage (R=0.497, P<0.001), and negatively correlated with biatrial scar area (R=-0.570, P<0.001) and left atrial diameter (R=-0.214, P=0.028). LTL was shorter in the patients with recurrent AF than in those without recurrent AF after catheter ablation (5.68±0.82 kbp vs. 6.66±0.71 kbp; P<0.001). On receiver operating characteristic curve analysis, LTL cut-off <6.14 kbp had a specificity of 0.68 and sensitivity of 0.79 to predict recurrent AF after catheter ablation. CONCLUSIONS: Young PAF patients (≤50 years) had shorter LTL. Shorter LTL was associated with a degenerative atrial substrate and recurrence after catheter ablation in younger PAF patients.

Interleukin-17 enhances cardiac ventricular remodeling via activating MAPK pathway in ischemic heart failure.

BACKGROUND: We aimed to investigate the impact of interleukin (IL)-17 on ventricular remodeling and the genesis of ventricular arrhythmia (VA) in an ischemic heart failure (HF) model. The expression of the proinflammatory cytokine IL-17 is upregulated during myocardial ischemia and plays a fundamental role in post-infarct inflammation. However, the influence of IL-17 on the genesis of VA has not yet been studied. METHODS AND RESULTS: The level of inflammation and Th17 cell (CD4+IL-17+) expression in the rabbit model of ischemic HF were studied by flow cytometry, quantitative polymerase chain reaction (qPCR), and enzyme-linked immunosorbent assay (ELISA). The effect of IL-17 on VA induction following acute and chronic administration of IL-17 was determined using electrophysiological techniques and optical mapping. The expression of IL-17 target genes and related cytokines and chemokines in vivo and in vitro were measured using qPCR, ELISA, and immunoblotting. Th17 cells were markedly increased in the ischemic HF rabbit model. IL-17 directly induced VA in vivo and in vitro in a dose-dependent manner. IL-17 decreased conduction velocity, lengthened action potential duration, and increased the slope of the left ventricle (LV) restitution curve. IL-17 treatment led to fibrosis, collagen production and apoptosis in the LV. Furthermore, increased IL-17 signaling activated mitogen-activated protein kinase and increased the expression of downstream target genes, IL-6, TNF, CCL20, and CXCL1. An anti-IL-17 neutralizing antibody abolished the effects of IL-17. CONCLUSIONS: The expression of IL-17 and its downstream target genes may play fundamental roles in inducing VA in ischemic HF.

Circulating microRNAs in arrhythmogenic right ventricular cardiomyopathy with ventricular arrhythmia.

Aims: MicroRNAs (miRNAs) have been implicated in cardiac diseases. This study aimed to characterize the circulating miRNAs in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) and correlate the miRNAs with the clinical outcomes of ARVC. Methods and results: This study included 62 patients with ventricular arrhythmia (VA): 28 patients (45%) had definite ARVC, 11 (18%) had borderline or possible ARVC, and 23 (37%) had idiopathic ventricular tachycardia (VT). In addition, 33 age- and sex-matched healthy subjects were enrolled as normal control subjects. The expression of selected miRNAs was analysed in all study subjects. The clinical outcomes of patients with definite ARVC after catheter ablation were further investigated. On the basis of the miRNA polymerase chain reaction array, we selected 11 miRNAs for analysis of their expression in the plasma of all subjects. Definite ARVC patients had significantly higher expression of circulating miR-144-3p, 145-5p, 185-5p, and 494 than the three other groups. Out of 25 definite ARVC patients who underwent radiofrequency catheter ablation, recurrent VA occurred in 8 patients (32%) during the follow-up period (45 ± 20 months). Definite ARVC patients with recurrent VA had a higher level of circulating miR-494 than did those without recurrence. Receiver operating characteristic analysis showed miR-494 to be a predictive factor of recurrent VA (area under the curve: 0.832). Conclusion: Plasma levels of miR-144-3p, 145-5p, 185-5p, and 494 were significantly elevated in definite ARVC patients with VA. An increased plasma level of miR-494 was associated with the recurrence of VA after ablation in definite ARVC patients.

Accelerating molecular discovery through data and physical sciences: Applications to peptide-membrane interactions.

Simulation and data analysis have evolved into powerful methods for discovering and understanding molecular modes of action and designing new compounds to exploit these modes. The combination provides a strong impetus to create and exploit new tools and techniques at the interfaces between physics, biology, and data science as a pathway to new scientific insight and accelerated discovery. In this context, we explore the rational design of novel antimicrobial peptides (short protein sequences exhibiting broad activity against multiple species of bacteria). We show how datasets can be harvested to reveal features which inform new design concepts. We introduce new analysis and visualization tools: a graphical representation of the k-mer spectrum as a fundamental property encoded in antimicrobial peptide databases and a data-driven representation to illustrate membrane binding and permeation of helical peptides.

Rhodiola Inhibits Atrial Arrhythmogenesis in a Heart Failure Model.

INTRODUCTION: Rhodiola, a popular plant in Tibet, has been proven to decrease arrhythmia. The aim of this study was to elucidate the molecular mechanism and electrophysiological properties of rhodiola in the suppression of atrial fibrillation. METHODS: This study consisted of 3 groups as follows: Group 1: normal control rabbits (n = 5); Group 2: rabbits with heart failure (HF) created by coronary ligation and who received 2 weeks of water orally as a placebo (n = 5); and Group 3: rabbits with HF who received 2 weeks of a rhodiola 270 mg/kg/day treatment orally (n = 5). The monophasic action potential, histology, and real-time polymerase chain reaction (RT-PCR) analysis of ionic channels and PI3K/AKT/eNOS were examined. RESULTS: Compared with the HF group, attenuated atrial fibrosis (35.4 ± 17.4% vs. 16.9 ± 8.4%, P = 0.05) and improved left ventricular (LV) ejection fraction (51.6 ± 3.4% vs. 68.0 ± 0.5%, P = 0.001) were observed in the rhodiola group. The rhodiola group had a shorter ERP (85.3 ± 6.8 vs. 94.3 ± 1.2, P = 0.002), APD90 (89.3 ± 1.5 vs. 112.7 ± 0.7, P < 0.001) in the left atrium (LA), and decreased AF inducibility (0.90 ± 0.04 vs. 0.42 ± 0.04, P < 0.001) compared with the HF group. The mRNA expressions of Kv1.4, Kv1.5, Kv4.3, KvLQT1, Cav1.2, and SERCA2a in the HF LA were up-regulated after rhodiola treatment. The rhodiola-treated HF LA demonstrated higher mRNA expression of PI3K-AKT compared with the HF group. CONCLUSIONS: Rhodiola reversed LA electrical remodeling, attenuated atrial fibrosis and suppressed AF in rabbits with HF. The beneficial electrophysiological effect of rhodiola may be related to upregulation of Kv1.4, Kv1.5, Kv4.3, KvLQT1, Cav1.2, SERCA2a, and activation of PI3K/AKT signaling.

Prediction of SAMPL4 host-guest binding affinities using funnel metadynamics.

Accurately predicting binding affinities between ligands and macromolecules has been a much sought-after goal. A tremendous amount of resources can be saved in the pharmaceutical industry through accurate binding-affinity prediction and hence correct decision-making for the drug discovery processes. Owing to the structural complexity of macromolecules, one of the issues in binding affinity prediction using molecular dynamics is the adequate sampling of the conformational space. Recently, the funnel metadynamics method (Limongelli et al. in Proc Natl Acad Sci USA 110:6358, 2013) was developed to enhance the sampling of the ligand at the binding site as well as in the solvated state, and offer the possibility to predict the absolute binding free energy. We apply funnel metadynamics to predict host-guest binding affinities for the cucurbit[7]uril host as part of the SAMPL4 blind challenge. Using total simulation times of 300-400 ns per ligand, we show that the errors due to inadequate sampling are below 1 kcal/mol. However, despite the large investment in terms of computational time, the results compared to experiment are not better than a random guess. As we obtain differences of up to 11 kcal/mol when switching between two commonly used force fields (with automatically generated parameters), we strongly believe that in the pursuit of accurate binding free energies a more careful force-field parametrization is needed to address this type of system.

Renal sympathetic denervation ameliorates the activated inflammatory response through JAK-STAT pathway in a chronic obstructive sleep apnea animal model.

OBJECTIVES: Obstructive sleep apnea (OSA) is known to increase the risk of cardiovascular disease and inflammation plays a significant role in this process. Renal denervation (RDN) is a novel approach aimed at reducing sympathetic nervous system activity. The role of RDN in the inflammatory response to chronic OSA (COSA) is currently unclear. The main objective was to study inflammatory mechanisms in the rabbit heart with COSA and the effects of RDN. METHODS: Eighteen rabbits were randomized into three groups: sham control, COSA, and COSA-RDN. COSA and COSA-RDN groups received liquid silicone injections, while the sham control group received normal saline. We performed combined surgical and chemical RDN through bilateral retroperitoneal flank incisions in the COSA-RDN group after silicone injections. The inflammatory mechanisms were assessed through immunoblotting, real-time PCR, and ELISA after the experiment. RESULTS: H&E staining showed immune cell infiltration in COSA, which decreased after RDN treatment. The level of α7nAChR was significantly reduced in COSA compared to the sham control but was restored to a similar level in the COSA-RDN group. Furthermore, the expressions of p-JAK2 and p-STAT3 were significantly reduced in COSA but showed an up-regulation following RDN treatment. Similarly, levels of the inflammatory markers IL-6, IL-1ß and TNF-α were markedly increased in COSA but decreased after RDN therapy. We observed NF-κB activation in the COSA rabbit model, which decreased after RDN treatment, as evidenced by decreased NF-κB expression. CONCLUSIONS: Our study suggests that RDN treatment may prevent COSA-associated heart inflammation via the JAK2-STAT3 signaling pathway.

Effects of low-density lipoprotein cholesterol on sleep apnea: Insights from a rat model of cardiovascular autonomic dysregulation.

INTRODUCTION: The levels of low-density lipoprotein (LDL) cholesterol in plasma are important risk factors for coronary heart disease. Several reports suggest that elevated plasma cholesterol is associated with cardiac arrhythmias. In a subsequent study investigating LDL cholesterol levels and the frequency of LDL cholesterol measurements, a positive correlation was observed between the severity of sleep apnea and visit-to-visit LDL cholesterol variability. Our objective was to assess the effects of hypercholesterolemia on cardiac autonomic activity, disordered sleep patterns, and increased incidence of arrhythmias in freely moving rats. METHODS: Wireless transmission of polysomnographic recordings was performed in control and high cholesterol male rats during normal daytime sleep. Spectral analyses were conducted on the electroencephalogram and electromyogram (EMG) recordings to distinguish active waking, quiet sleep, and paradoxical sleep. Heart rate variability power spectrum analysis was used to measure cardiac autonomic activity. RESULTS: The high cholesterol group exhibited a higher low-frequency (LF)/high-frequency (HF) power ratio during all sleep stages compared to the control group. Additionally, the frequency of sleep interruptions was increased in the high cholesterol group compared to the control group. CONCLUSIONS: Our results show significant sleep fragmentation with sympathetic hyperactivity after exposure to high cholesterol. This indicates that high cholesterol may increase the risk of sleep apnea and poor sleep quality by disrupting autonomic homeostasis.

In silico categorization of in vivo intrinsic clearance using machine learning.

Machine learning has recently become popular and much used within the life science research domain, e.g., for finding quantitative structure-activity relationships (QSARs) between molecular structures and different biological end points. In the work presented here, we have applied orthogonal partial least-squares (OPLS), principal component analysis (PCA), and random forests (RF) methods for classification as well as regression analysis to a publicly available in vivo data set in order to assess the intrinsic metabolic clearance (CL(int)) in humans. The derived classification models are able to identify compounds with CL(int) lower and higher than 1500 mL/min, respectively, with nearly 80% accuracy. The most relevant descriptors are of lipophilicity and charge/polarizability types. Furthermore, the accuracy from a classification model based on regression analysis, using the 1500 mL/min cutoff, is also around 80%. These results suggest the usefulness of machine learning techniques to derive robust and predictive models in the area of in vivo ADMET (absorption, distribution, metabolism, elimination, and toxicity) modeling.

Mice with alopecia, osteoporosis, and systemic amyloidosis due to mutation in Zdhhc13, a gene coding for palmitoyl acyltransferase.

Protein palmitoylation has emerged as an important mechanism for regulating protein trafficking, stability, and protein-protein interactions; however, its relevance to disease processes is not clear. Using a genome-wide, phenotype driven N-ethyl-N-nitrosourea-mediated mutagenesis screen, we identified mice with failure to thrive, shortened life span, skin and hair abnormalities including alopecia, severe osteoporosis, and systemic amyloidosis (both AA and AL amyloids depositions). Whole-genome homozygosity mapping with 295 SNP markers and fine mapping with an additional 50 SNPs localized the disease gene to chromosome 7 between 53.9 and 56.3 Mb. A nonsense mutation (c.1273A>T) was located in exon 12 of the Zdhhc13 gene (Zinc finger, DHHC domain containing 13), a gene coding for palmitoyl transferase. The mutation predicted a truncated protein (R425X), and real-time PCR showed markedly reduced Zdhhc13 mRNA. A second gene trap allele of Zdhhc13 has the same phenotypes, suggesting that this is a loss of function allele. This is the first report that palmitoyl transferase deficiency causes a severe phenotype, and it establishes a direct link between protein palmitoylation and regulation of diverse physiologic functions where its absence can result in profound disease pathology. This mouse model can be used to investigate mechanisms where improper palmitoylation leads to disease processes and to understand molecular mechanisms underlying human alopecia, osteoporosis, and amyloidosis and many other neurodegenerative diseases caused by protein misfolding and amyloidosis.

Role of Molecular, Crystal, and Surface Chemistry in Directing the Crystallization of Entacapone Polymorphs on the Au(111) Template Surface.

The pharmaceutical compound entacapone ((E)-2-cyano-3-(3,4-dihydroxy-5-nitrophenyl)-N,N-diethylprop-2-enamide) is important in the treatment of Parkinson's disease, exhibiting interesting polymorphic behavior upon crystallization from solution. It consistently produces its stable form A with a uniform crystal size distribution on the surface of an Au(111) template while concomitantly forming its metastable form D within the same bulk solution. Molecular modeling using empirical atomistic force-fields reveals more complex molecular and intermolecular structures for form D compared to form A, with the crystal chemistry of both polymorphs being dominated by van der Waals and π-π stacking interactions with lower contributions (ca. 20%) from hydrogen bonding and electrostatic interactions. Comparative lattice energies and convergence for the polymorphs are consistent with the observed concomitant polymorphic behavior. Synthon characterization reveals an elongated needle-like morphology for form D crystals in contrast to the more equant form A crystals with the surface chemistry of the latter exposing the molecules' cyano groups on its {010} and {011} habit faces. Density functional theory modeling of surface adsorption reveals preferential interactions between Au and the synthon GA interactions of form A on the Au surface. Molecular dynamics modeling of the entacapone/gold interface reveals the entacapone molecular structure within the first adsorbed layer to show nearly identical interaction distances, for both the molecules within form A or D with respect to the Au surface, while in the second and third layers when entacapone molecule-molecule interactions overtake the interactions between those of molecule-Au, the intermolecular structures are found to be closer to the form A structure than form D. In these layers, synthon GA (form A) could be reproduced with just two small azimuthal rotations (5° and 15°) whereas the closest alignment to a form D synthon requires larger azimuthal rotations (15° and 40°). The cyano functional group interactions with the Au template dominate interfacial interactions with these groups being aligned parallel to the Au surface and with nearest neighbor distances to Au atoms more closely matching those in form A than form D. The overall polymorph direction pathway thus encompasses consideration of molecular, crystal, and surface chemistry factors.