The Ability of a 3-Gene Host Signature in Blood to Distinguish Tuberculous Meningitis From Other Brain Infections.

BACKGROUND: Tuberculous meningitis (TBM) is difficult to diagnose. We investigated whether a 3-gene host response signature in blood can distinguish TBM from other brain infections. METHODS: The expression of 3 genes (dual specificity phosphatase 3 [DUSP3], guanylate-binding protein [GBP5], krupple-like factor 2 [KLF2]) was analyzed by RNA sequencing of archived whole blood from 4 cohorts of Vietnamese adults: 281 with TBM, 279 with pulmonary tuberculosis, 50 with other brain infections, and 30 healthy controls. Tuberculosis scores (combined 3-gene expression) were calculated following published methodology and discriminatory performance compared using area under a receiver operator characteristic curve (AUC). RESULTS: GBP5 was upregulated in TBM compared to other brain infections (P < .001), with no difference in DUSP3 and KLF2 expression. The diagnostic performance of GBP5 alone (AUC, 0.74; 95% confidence interval [CI], .67-.81) was slightly better than the 3-gene tuberculosis score (AUC, 0.66; 95% CI, .58-.73) in TBM. Both GBP5 expression and tuberculosis score were higher in participants with human immunodeficiency virus (HIV; P < .001), with good diagnostic performance of GBP5 alone (AUC, 0.86; 95% CI, .80-.93). CONCLUSIONS: The 3-gene host signature in whole blood has the ability to discriminate TBM from other brain infections, including in individuals with HIV. Validation in large prospective diagnostic study is now required.

Cardinality optimization in constraint-based modelling: application to human metabolism.

MOTIVATION: Several applications in constraint-based modelling can be mathematically formulated as cardinality optimization problems involving the minimization or maximization of the number of nonzeros in a vector. These problems include testing for stoichiometric consistency, testing for flux consistency, testing for thermodynamic flux consistency, computing sparse solutions to flux balance analysis problems and computing the minimum number of constraints to relax to render an infeasible flux balance analysis problem feasible. Such cardinality optimization problems are computationally complex, with no known polynomial time algorithms capable of returning an exact and globally optimal solution. RESULTS: By approximating the zero-norm with nonconvex continuous functions, we reformulate a set of cardinality optimization problems in constraint-based modelling into a difference of convex functions. We implemented and numerically tested novel algorithms that approximately solve the reformulated problems using a sequence of convex programs. We applied these algorithms to various biochemical networks and demonstrate that our algorithms match or outperform existing related approaches. In particular, we illustrate the efficiency and practical utility of our algorithms for cardinality optimization problems that arise when extracting a model ready for thermodynamic flux balance analysis given a human metabolic reconstruction. AVAILABILITY AND IMPLEMENTATION: Open source scripts to reproduce the results are here https://github.com/opencobra/COBRA.papers/2023_cardOpt with general purpose functions integrated within the COnstraint-Based Reconstruction and Analysis toolbox: https://github.com/opencobra/cobratoolbox.

E-cigarettes Induce Dysregulation of Autophagy Leading to Endothelial Dysfunction in Pulmonary Arterial Hypertension.

Given the increasing popularity of electronic cigarettes (e-cigs), it is imperative to evaluate the potential health risks of e-cigs, especially in users with preexisting health concerns such as pulmonary arterial hypertension (PAH). The aim of the present study was to investigate whether differential susceptibility exists between healthy and patients with PAH to e-cig exposure and the molecular mechanisms contributing to it. Patient-specific induced pluripotent stem cell-derived endothelial cells (iPSC-ECs) from healthy individuals and patients with PAH were used to investigate whether e-cig contributes to the pathophysiology of PAH and affects EC homeostasis in PAH. Our results showed that PAH iPSC-ECs showed a greater amount of damage than healthy iPSC-ECs upon e-cig exposure. Transcriptomic analyses revealed that differential expression of Akt3 may be responsible for increased autophagic flux impairment in PAH iPSC-ECs, which underlies increased susceptibility upon e-cig exposure. Moreover, knockdown of Akt3 in healthy iPSC-ECs significantly induced autophagic flux impairment and endothelial dysfunction, which further increased with e-cig treatment, thus mimicking the PAH cell phenotype after e-cig exposure. In addition, functional disruption of mTORC2 by knocking down Rictor in PAH iPSC-ECs caused autophagic flux impairment, which was mediated by downregulation of Akt3. Finally, pharmacological induction of autophagy via direct inhibition of mTORC1 and indirect activation of mTORC2 with rapamycin reverses e-cig-induced decreased Akt3 expression, endothelial dysfunction, autophagic flux impairment, and decreased cell viability, and migration in PAH iPSC-ECs. Taken together, these data suggest a potential link between autophagy and Akt3-mediated increased susceptibility to e-cig in PAH.

Efficient production of large deletion and gene fragment knock-in mice mediated by genome editing with Cas9-mouse Cdt1 in mouse zygotes.

Genetically modified mouse models are essential for in vivo investigation of gene function and human disease research. Targeted mutations can be introduced into mouse embryos using genome editing technology such as CRISPR-Cas. Although mice with small indel mutations can be produced, the production of mice carrying large deletions or gene fragment knock-in alleles remains inefficient. We introduced the nuclear localisation property of Cdt1 protein into the CRISPR-Cas system for efficient production of genetically engineered mice. Mouse Cdt1-connected Cas9 (Cas9-mC) was present in the nucleus of HEK293T cells and mouse embryos. Cas9-mC induced a bi-allelic full deletion of Dmd, GC-rich fragment knock-in, and floxed allele knock-in with high efficiency compared to standard Cas9. These results indicate that Cas9-mC is a useful tool for producing mouse models carrying targeted mutations.

Most-Probable-Number-Based Minimum Duration of Killing Assay for Determining the Spectrum of Rifampicin Susceptibility in Clinical Mycobacterium tuberculosis Isolates.

Accurate antibiotic susceptibility testing is essential for successful tuberculosis treatment. Recent studies have highlighted the limitations of MIC-based phenotypic susceptibility methods in detecting other aspects of antibiotic susceptibilities in bacteria. Duration and peak of antibiotic exposure, at or above the MIC required for killing the bacterial population, has emerged as another important factor for determining antibiotic susceptibility. This is broadly defined as antibiotic tolerance. Antibiotic tolerance can further facilitate the emergence of antibiotic resistance. Currently, there are limited methods to quantify antibiotic tolerance among clinical M. tuberculosis isolates. In this study, we develop a most-probable-number (MPN)-based minimum duration of killing (MDK) assay to quantify the spectrum of M. tuberculosis rifampicin susceptibility within subpopulations based on the duration of rifampicin exposure required for killing the bacterial population. MDK90-99 and MDK99.99 were defined as the minimum duration of antibiotic exposure at or above the MIC required for killing 90 to 99% and 99.99% of the initial (pretreatment) bacterial population, respectively. Results from the rifampicin MDK assay applied to 28 laboratory and clinical M. tuberculosis isolates showed that there is variation in rifampicin susceptibility among isolates. The rifampicin MDK99/99.99 time for isolates varied from less than 2 to 10 days. MDK was correlated with larger subpopulations of M. tuberculosis from clinical isolates that were rifampicin tolerant. Our study demonstrates the utility of MDK assays to measure the variation in antibiotic tolerance among clinical M. tuberculosis isolates and further expands clinically important aspects of antibiotic susceptibility testing.

Generation of B6-Ddx4em1(CreERT2)Utr , a novel CreERT2 knock-in line, for germ cell lineage by CRISPR/Cas9.

Germ cell development is essential for maintaining reproduction in animals. In postpubertal females, oogenesis is a highly complicated event for producing fertilizable oocytes. It starts when dormant primordial oocytes undergo activation to become growing oocytes. In postpubertal males, spermatogenesis is a differentiation process for producing sperm from spermatogonial stem cells. To obtain full understanding of the molecular mechanisms underlying germ cell development, the Cre/loxP system has been widely applied for conditional knock-out mouse studies. In this study, we established a novel knock-in mouse line, B6-Ddx4 em1(CreERT2)Utr , which expresses CreERT2 recombinase under the control of the endogenous DEAD-box helicase 4 (Ddx4) gene promoter. Ddx4 was specifically expressed in both female and male germ cell lineages. We mated the CreERT2 mice with R26GRR mice, expressing enhanced green fluorescent protein (EGFP) and tDsRed before and after Cre recombination. We found tDsRed signals in the testes and ovaries of tamoxifen-treated B6-Ddx4 em1(CreERT2)Utr ::R26GRR mice, but not in untreated mice. Immunostaining of their ovaries clearly showed that Cre recombination occurred in all oocytes at every follicle stage. We also found 100% Cre recombination efficiency in male germ cells via the progeny test. In summary, our results indicate that B6-Ddx4 em1(CreERT2)Utr is beneficial for studying female and male germ cell development.

Evolutionary patterns of metazoan microRNAs reveal targeting principles in the let-7 and miR-10 families.

MicroRNAs (miRNAs) regulate gene output by targeting degenerate elements in mRNAs and have undergone drastic expansions in higher metazoan genomes. The evolutionary advantage of maintaining copies of highly similar miRNAs is not well understood, nor is it clear what unique functions, if any, miRNA family members possess. Here, we study evolutionary patterns of metazoan miRNAs, focusing on the targeting preferences of the let-7 and miR-10 families. These studies reveal hotspots for sequence evolution with implications for targeting and secondary structure. High-throughput screening for functional targets reveals that each miRNA represses sites with distinct features and regulates a large number of genes with cooperative function in regulatory networks. Unexpectedly, given the high degree of similarity, single-nucleotide changes grant miRNA family members with distinct targeting preferences. Together, our data suggest complex functional relationships among miRNA duplications, novel expression patterns, sequence change, and the acquisition of new targets.

Markov chain stochastic DCA and applications in deep learning with PDEs regularization.

This paper addresses a large class of nonsmooth nonconvex stochastic DC (difference-of-convex functions) programs where endogenous uncertainty is involved and i.i.d. (independent and identically distributed) samples are not available. Instead, we assume that it is only possible to access Markov chains whose sequences of distributions converge to the target distributions. This setting is legitimate as Markovian noise arises in many contexts including Bayesian inference, reinforcement learning, and stochastic optimization in high-dimensional or combinatorial spaces. We then design a stochastic algorithm named Markov chain stochastic DCA (MCSDCA) based on DCA (DC algorithm) - a well-known method for nonconvex optimization. We establish the convergence analysis in both asymptotic and nonasymptotic senses. The MCSDCA is then applied to deep learning via PDEs (partial differential equations) regularization, where two realizations of MCSDCA are constructed, namely MCSDCA-odLD and MCSDCA-udLD, based on overdamped and underdamped Langevin dynamics, respectively. Numerical experiments on time series prediction and image classification problems with a variety of neural network topologies show the merits of the proposed methods.

Characteristics and Related Factors of Bacterial Infection Among Patients With Cirrhosis.

Background: Infection causes cirrhosis to decompensate, affecting liver function and resulting in several complications, including esophageal variceal hemorrhage, hepatic encephalopathy, and hepatorenal syndrome. Objective: This study aimed to identify the prevalence, essential features, and related factors of bacterial infection among patients with cirrhosis in Vietnam. Methods: This retrospective study included 317 patients diagnosed with cirrhosis, who were divided into two groups: group 1 including 125 patients with bacterial infection and group 2 including 192 patients without bacterial infection. Infection was diagnosed on the basis of its localization. Results: Spontaneous bacterial peritonitis (SBP; 31.2%) and pneumonia (28.8%) were the most common infections identified. The procalcitonin (PCT) level had a strong diagnostic value with an area under the curve value of 0.868. The most common type of gram-negative bacteria was Escherichia coli, while the gram-positive bacteria seen were Staphylococcus, Enterococcus, and Streptococcus among the patients with infection. In the logistic regression analysis, Child-Pugh class B and C (p<0.001, OR=4.14, CI=1.90-9.03; OR=4.76, CI=2.03-11.16, respectively) and the presence of acute kidney injury (p=0.009, OR=2.57, CI=1.27-5.22) and gastrointestinal hemorrhage (p=0.035, OR=0.39, CI=0.16-0.94) significantly differed between the groups. Conclusion: The most prevalent type of bacterial infection in patients with cirrhosis is SBP, with gram-negative bacteria being the most common cause. The PCT level is useful in identifying infection in patients with cirrhosis. Decompensated cirrhosis is linked to a higher risk of infection.

Rifampicin tolerance and growth fitness among isoniazid-resistant clinical Mycobacterium tuberculosis isolates from a longitudinal study.

Antibiotic tolerance in Mycobacterium tuberculosis reduces bacterial killing, worsens treatment outcomes, and contributes to resistance. We studied rifampicin tolerance in isolates with or without isoniazid resistance (IR). Using a minimum duration of killing assay, we measured rifampicin survival in isoniazid-susceptible (IS, n=119) and resistant (IR, n=84) isolates, correlating tolerance with bacterial growth, rifampicin minimum inhibitory concentrations (MICs), and isoniazid-resistant mutations. Longitudinal IR isolates were analyzed for changes in rifampicin tolerance and genetic variant emergence. The median time for rifampicin to reduce the bacterial population by 90% (MDK90) increased from 1.23 days (IS) and 1.31 days (IR) to 2.55 days (IS) and 1.98 days (IR) over 15-60 days of incubation, indicating fast and slow-growing tolerant sub-populations. A 6 log10-fold survival fraction classified tolerance as low, medium, or high, showing that IR is linked to increased tolerance and faster growth (OR = 2.68 for low vs. medium, OR = 4.42 for low vs. high, p-trend = 0.0003). High tolerance in IR isolates was associated with rifampicin treatment in patients and genetic microvariants. These findings suggest that IR tuberculosis should be assessed for high rifampicin tolerance to optimize treatment and prevent the development of multi-drug-resistant tuberculosis.

Block clustering based on difference of convex functions (DC) programming and DC algorithms.

We investigate difference of convex functions (DC) programming and the DC algorithm (DCA) to solve the block clustering problem in the continuous framework, which traditionally requires solving a hard combinatorial optimization problem. DC reformulation techniques and exact penalty in DC programming are developed to build an appropriate equivalent DC program of the block clustering problem. They lead to an elegant and explicit DCA scheme for the resulting DC program. Computational experiments show the robustness and efficiency of the proposed algorithm and its superiority over standard algorithms such as two-mode K-means, two-mode fuzzy clustering, and block classification EM.

Rifampicin tolerance and growth fitness among isoniazid-resistant clinical Mycobacterium tuberculosis isolates: an in-vitro longitudinal study.

Antibiotic tolerance in Mycobacterium tuberculosis leads to less effective bacterial killing, poor treatment responses and resistant emergence. There is limited understanding of antibiotic tolerance in clinical isolates of M. tuberculosis. Therefore, we investigated the rifampicin tolerance of M. tuberculosis isolates, with or without pre-existing isoniazid-resistance. In-vitro rifampicin survival fractions determined by minimum duration of killing assay in isoniazid susceptible (n=119) and resistant (n=84) M. tuberculosis isolates. Rifampicin tolerance was correlated with bacterial growth, rifampicin minimum inhibitory concentrations (MICs) and isoniazid-resistant mutations. The longitudinal isoniazid-resistant isolates were analyzed for rifampicin tolerance based on collection time from patients and associated emergence of genetic variants. The median duration of rifampicin exposure reducing the M. tuberculosis surviving fraction by 90% (minimum duration of killing-MDK90) increased from 1.23 (95%CI 1.11; 1.37) and 1.31 (95%CI 1.14; 1.48) to 2.55 (95%CI 2.04; 2.97) and 1.98 (95%CI 1.69; 2.56) days, for IS and IR respectively, during 15 to 60 days of incubation respectively. Increase in MDK90 time indicated the presence of fast and slow growing tolerant sub-populations. A range of 6 log10-fold survival fraction enabled classification of tolerance as low, medium or high and revealed isoniazid-resistance association with increased tolerance with faster growth (OR=2.68 for low vs. medium, OR=4.42 for low vs. high, P-trend=0.0003). The high tolerance in longitudinal isoniazid-resistant isolates was specific to those collected during rifampicin treatment in patients and associated with bacterial genetic microvariants. Our study identifies a range of rifampicin tolerance and reveals that isoniazid resistance is associated with higher tolerance with growth fitness. Furthermore, rifampicin treatment may select isoniazid-resistant isolate microvariants with higher rifampicin tolerance, with survival potential similar to multi-drug resistant isolates. These findings suggest that isoniazid-resistant tuberculosis needs to be evaluated for rifampicin tolerance or needs further improvement in treatment regimen. It is made available under a CC-BY 4.0 International license.

Alteration of the N6-methyladenosine epitranscriptomic profile in synthetic phthalate-treated human induced pluripotent stem cell-derived endothelial cells.

Background: This study aimed to characterize the N6-methyladenosine epitranscriptomic profile induced by mono(2-ethylhexyl) phthalate (MEHP) exposure using a human-induced pluripotent stem cell-derived endothelial cell model. Methods: A multiomic approach was employed by performing RNA sequencing in parallel with an N6-methyladenosine-specific microarray to identify mRNAs, lncRNAs, and miRNAs affected by MEHP exposure. Results: An integrative multiomic analysis identified relevant biological features affected by MEHP, while functional assays provided a phenotypic characterization of these effects. Transcripts regulated by the epitranscriptome were validated with quantitative PCR and methylated RNA immunoprecipitation. Conclusion: The authors' profiling of the epitranscriptome expands the scope of toxicological insights into known environmental toxins to under surveyed cellular contexts and emerging domains of regulation and is, therefore, a valuable resource to human health.

Synthetic phthalates, such as mono(2-ethyhexyl) phthalate, have long been recognized as environmental toxins. What effect these compounds have on endothelial cells remains poorly understood. To address this, the authors utilized a human-induced pluripotent stem cell-derived endothelial cell model to screen for an environmental toxin. They then obtained a profile of the epitranscriptomic changes involving the N⁶-methyladensosine modification and performed biochemical and functional assays. Overall, this study demonstrated how stem cell-based approaches can be used for toxicological screening and provided a valuable resource that profiles the epitranscriptomic response, which was complemented with RNA sequencing and functional and biochemical assays. This study provides relevant toxicological insights into the context of human health.

Geopolymer Recycled Aggregate Concrete: From Experiments to Empirical Models.

Ordinary cement concrete is a popular material with numerous advantages when compared to other construction materials; however, ordinary concrete is also criticized from the public point of view due to the CO2 emission (during the cement manufacture) and the consumption of natural resources (for the aggregates). In the context of sustainable development and circular economy, the recycling of materials and the use of alternative binders which have less environmental impacts than cement are challenges for the construction sector. This paper presents a study on non-conventional concrete using recycled aggregates and alkali-activated binder. The specimens were prepared from low calcium fly ash (FA, an industrial by-product), sodium silicate solution, sodium hydroxide solution, fine aggregate from river sand, and recycled coarse aggregate. First, influences of different factors were investigated: the ratio between alkaline activated solution (AAS) and FA, and the curing temperature and the lignosulfonate superplasticizer. The interfacial transition zone of geopolymer recycled aggregate concrete (GRAC) was evaluated by microscopic analyses. Then, two empirical models, which are the modified versions of Feret's and De Larrard's models, respectively, for cement concretes, were investigated for the prediction of GRAC compressive strength; the parameters of these models were identified. The results showed the positive behaviour of GRAC investigated and the relevancy of the models proposed.

Genome-wide differential expression profiling of lncRNAs and mRNAs in human induced pluripotent stem cell-derived endothelial cells exposed to e-cigarette extract.

BACKGROUND: Electronic-cigarette (e-cig) usage, particularly in the youth population, is a growing concern. It is known that e-cig causes endothelial dysfunction, which is a risk factor for the development of cardiovascular diseases; however, the mechanisms involved remain unclear. We hypothesized that long noncoding RNAs (lncRNAs) may play a role in e-cig-induced endothelial dysfunction. METHODS: Here, we identified lncRNAs that are dysregulated in human induced pluripotent stem cell-derived endothelial cells (iPSC-ECs) following 24 h of e-cig aerosol extract treatment via microarray analysis. We performed Gene Ontology and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analyses of the dysregulated mRNAs following e-cig exposure and constructed co-expression networks of the top 5 upregulated lncRNAs and the top 5 downregulated lncRNAs and the mRNAs that are correlated with them. Furthermore, the functional effects of knocking down lncRNA lung cancer-associated transcript 1 (LUCAT1) on EC phenotypes were determined as it was one of the significantly upregulated lncRNAs following e-cig exposure based on our profiling. RESULTS: 183 lncRNAs and 132 mRNAs were found to be upregulated, whereas 297 lncRNAs and 413 mRNAs were found to be downregulated after e-cig exposure. We also observed that e-cig caused dysregulation of endothelial metabolism resulting in increased FAO activity, higher mitochondrial membrane potential, and decreased glucose uptake and glycolysis. These results suggest that e-cig alters EC metabolism by increasing FAO to compensate for energy deficiency in ECs. Finally, the knockdown of LUCAT1 prevented e-cig-induced EC dysfunction by maintaining  vascular barrier, reducing reactive oxygen species level, and increasing migration capacity. CONCLUSION: This study identifies an expression profile of differentially expressed lncRNAs and several potential regulators and pathways in ECs exposed to e-cig, which provide insights into the regulation of lncRNAs and mRNAs and the role of lncRNA and mRNA networks in ECs associated e-cig exposure.

Characterization of a bicistronic knock-in reporter mouse model for investigating the role of CABLES2 in vivo.

Two members of the CDK5 and ABL enzyme substrate (CABLES) family, CABLES1 and CABLES2, share a highly homologous C-terminus. They interact and associate with cyclin-dependent kinase 3 (CDK3), CDK5, and c-ABL. CABLES1 mediates tumor suppression, regulates cell proliferation, and prevents protein degradation. Although Cables2 is ubiquitously expressed in adult mouse tissues at RNA level, the role of CABLES2 in vivo remains unknown. Here, we generated bicistronic Cables2 knock-in reporter mice that expressed CABLES2 tagged with 3×FLAG and 2A-mediated fluorescent reporter tdTomato. Cables2-3×FLAG-2A-tdTomato (Cables2Tom) mice confirmed the expression of Cables2 in various mouse tissues. Interestingly, high intensity of tdTomato fluorescence was observed in the brain, testis and ovary, especially in the corpus luteum. Furthermore, immunoprecipitation analysis using the brain and testis in Cables2Tom/Tom revealed interaction of CABLES2 with CDK5. Collectively, our new Cables2 knock-in reporter model will enable the comprehensive analysis of in vivo CABLES2 function.

A Novel Approach to the Treatment of Le Fort Fractures Using Internal Fixation to Achieve Mandibulomaxillary Fixation.

BACKGROUND: We aimed to determine the minimum effective period of mandibulomaxillary fixation after the inadequate internal fixation of Le Fort I or Le Fort II fracture. OBJECTIVE: The aim of this study was to investigate the stability of the skeleton after the treatment of Le Fort I or Le Fort II fractures by measuring bite forces and to determine the minimum time required for effective mandibulomaxillary fixation following treatment with internal fixation and mandibulomaxillary fixation. METHOD: A prospective study was performed to examine the treatment of Le Fort I or Le Fort II fracture in the Department of Maxillofacial Surgery at the National Hospital of Odonto-Stomatology in Ho Chi Minh City, Vietnam. A total of 31 patients were included, with up to 1 month of follow-up after discharge from the hospital. Midface bone stability and the mandibulomaxillary fixation time were evaluated using bite force criteria after 1, 2, and 4 weeks. RESULTS: Midface bone stability values 1, 2, and 4 weeks after treatment were 87.1%, 100%, and 100%, respectively. After 1 week, 87.1% of patients achieved intermaxillary fixation, and 96.3% of these patients were treated with at least three rigid plates. The remaining 12.9% of patients achieved fixation after 2 weeks, and all of these patients were fixed only at zygomaticomaxillary sutures (p < 0.05). Bite forces increased significantly at 2 weeks compared with 1 week and at 4 weeks compared with 2 weeks (p < 0.05). CONCLUSION: When treated using only rigid fixation, through the placement of plates and screws at zygomaticomaxillary buttresses, patients with Le Fort I and Le Fort II fractures can achieve mandibulomaxillary fixation after 2 weeks. For Le Fort I fractures, rigid fixation using plates and screws at zygomaticomaxillary buttresses and canine buttress at three positions can achieve mandibulomaxillary fixation after only 1 week (p = 0.0001).

Evaluation of Bite Force After Treatment of Le Fort Fractures by Internal Fixation and Mandibulomaxillary Fixation.

OBJECTIVES: Evaluation of bite force one, two, and four weeks after discharge following treatment of Le Fort I and/or Le Fort II fracture by rigid fixation and mandibulomaxillary fixation. OBJECTIVE: The aim of this study was to evaluate bite force following treatment of Le Fort I and/or Le Fort II fractures by rigid fixation and mandibulomaxillary fixation at one, two, and four weeks after discharge. This provides valuable results to guide the development of a treatment protocol for Le Fort fractures. METHOD: This was a prospective study including 31 patients who underwent followup examination three times after being discharged from hospital. The examination evaluated bite force using a bite force meter in the right molar, left molar, and incisor regions. RESULTS: One week after discharge, bite forces in the right molar, left molar, and incisor regions were 94.29 ± 58.80 N, 95.42 ± 57.34 N, and 39,94 ± 30,29 N, respectively. Two weeks after discharge, bite forces in the right molar, left molar, and incisor regions were 153.84 ± 89.14 N, 153.00 ± 78.55 N, and 65,9 ± 43.89 N, respectively. Four weeks after discharge, bite forces in the right molar, left molar, and incisor regions were 279.77 ± 95.46 N, 285.00 ± 90,47 N, and 123.42 ± 54.04 N, respectively. CONCLUSIONS: Bite forces in the right molar, left molar, and incisor regions were significantly increased one week, two weeks, and four weeks after discharge. Bite force may be a helpful parameter to confirm the stability of the midface bone after treatment of Le Fort fractures.

Dumbbell configuration of silicon adatom defects on silicene nanoribbons.

Using density functional theory (DFT), we performed theoretical investigation on structural, energetic, electronic, and magnetic properties of pure armchair silicene nanoribbons with edges terminated with hydrogen atoms (ASiNRs:H), and the absorptions of silicon (Si) atom(s) on the top of ASiNRs:H. The calculated results show that Si atoms prefer to adsorb on the top site of ASiNRs:H and form the single- and/or di-adatom defects depending on the numbers. Si absorption defect(s) change electronic and magnetic properties of ASiNRs:H. Depending on the adsorption site the band gap of ASiNRs:H can be larger or smaller. The largest band gap of 1 Si atom adsorption is 0.64 eV at site 3, the adsorption of 2 Si atoms has the largest band gap of 0.44 eV at site 1-D, while the adsorption at sites5 and 1-E turn into metallic. The formation energies of Si adsorption show that adatom defects in ASiNRs:H are more preferable than pure ASiNRs:H with silicon atom(s). 1 Si adsorption prefers to be added on the top site of a Si atom and form a single-adatom defect, while Si di-adatom defect has lower formation energy than the single-adatom and the most energetically favorable adsorption is at site 1-F. Si adsorption atoms break spin-degeneracy of ASiNRs:H lead to di-adatom defect at site 1-G has the highest spin moment. Our results suggest new ways to engineer the band gap and magnetic properties silicene materials.

EXOC1 plays an integral role in spermatogonia pseudopod elongation and spermatocyte stable syncytium formation in mice.

The male germ cells must adopt the correct morphology at each differentiation stage for proper spermatogenesis. The spermatogonia regulates its differentiation state by its own migration. The male germ cells differentiate and mature with the formation of syncytia, failure of forming the appropriate syncytia results in the arrest at the spermatocyte stage. However, the detailed molecular mechanisms of male germ cell morphological regulation are unknown. Here, we found that EXOC1, a member of the Exocyst complex, is important for the pseudopod formation of spermatogonia and spermatocyte syncytia in mice. EXOC1 contributes to the pseudopod formation of spermatogonia by inactivating the Rho family small GTPase Rac1 and also functions in the spermatocyte syncytia with the SNARE proteins STX2 and SNAP23. Since EXOC1 is known to bind to several cell morphogenesis factors, this study is expected to be the starting point for the discovery of many morphological regulators of male germ cells.