Endotoxemia Correlates with Kidney Function and Length of Stay in Critically Ill Patients.

INTRODUCTION: Endotoxin is a key driver of sepsis, which frequently causes acute kidney injury (AKI). However, endotoxins may also be found in non-bacteremic critically ill patients, likely from intestinal translocation. Preclinical models show that endotoxins can directly injure the kidneys, and in COVID-19 patients, endotoxemia correlated with AKI. We sought to determine correlations between endotoxemia and kidney and hospital outcomes in a broad group of critically ill patients. METHODS: In this single-center, serial prospective study, 124 predominantly Caucasian adult patients were recruited within 48 h of admission to Stony Brook University Hospital Intensive Care Unit (ICU). Demographics, vital signs, laboratory data, and outcomes were collected. Circulating endotoxin was measured on days 1, 4, and 8 using the endotoxin activity assay (EAA). The association of EAA with outcomes was examined with EAA: (1) categorized as <0.6, ≥0.6, and nonresponders (NRs); and (2) used as a continuous variable. RESULTS: Patients with EAA ≥0.6 had a higher prevalence of proteinuria, and lower arterial oxygen saturation (SaO2) to fraction of inspired oxygen (FiO2) (SaO2/FiO2) ratio versus patients with EAA <0.6. EAA levels positively correlated with serum creatinine (sCr) levels on day 1. Patients whose EAA level stayed ≥0.6 had a slower decline in sCr compared to those whose EAA started at ≥0.6 and subsequently declined. Patients with AKI stage 1 and EAA ≥0.6 on day 1 showed slower decline in sCr compared to patients with stage 1 AKI and EAA <0.6. EAA ≥0.6 and NR patients had longer hospital stay and delayed ICU discharge versus EAA <0.6. CONCLUSIONS: High EAA levels correlated with worse kidney function and outcomes. Patients whose EAA levels fell, and those with AKI stage I and day 1 EAA <0.6 recovered more quickly compared to those with EAA ≥0.6, suggesting that removal of circulating endotoxins may be beneficial in critically ill patients.

The expression profile of HAR1A and HAR1B in the peripheral blood cells of multiple sclerosis patients.

BACKGROUND: Multiple sclerosis (MS) is a progressive neurodegenerative disease of the central nervous system (CNS) with varying degrees of axonal and neuronal damage. The onset and progression of the disease are influenced by several environmental and genetic variables. Long non-coding RNAs (lncRNAs) have a crucial role in the pathophysiology of MS. Our study aimed to assess the levels of HAR1A and HAR1B lncRNA expression in the blood samples of MS patients and investigate the relationship between these lncRNAs and disease activity. METHODS AND RESULTS: The blood samples of 100 MS patients, including 82 relapsing-remitting (RR), 8 primary progressive (PP), and 10 secondary progressive (SP) MS cases, and 100 healthy controls were collected. Quantitative real-time PCR was used for the evaluation of gene expression. ROC curve analysis was performed to evaluate the diagnostic potential of lncRNA levels. A significant decrease was detected in HAR1A expressions (P < 0.0001), and a moderate increase was also shown in HAR1B of SPMS patients (P value = 0.0189). HAR1A showed different expression levels in patients over forty (P value = 0.034). The expression levels of HAR1A and HAR1B were positively correlated in MS patients (r = 0.2003, P value = 0.0457). In addition, ROC curve results suggested that HAR1A can be introduced as a novel biomarker for MS diagnosis (AUC = 0.776). CONCLUSION: The low serum level of HAR1A may be a potential molecular biomarker for MS diagnosis; however, no discernible difference was detected in the expression level of HAR1B in the blood samples of MS patients.

Quantifying Parameter Interdependence in Stochastic Discrete Models of Biochemical Systems.

Stochastic modeling of biochemical processes at the cellular level has been the subject of intense research in recent years. The Chemical Master Equation is a broadly utilized stochastic discrete model of such processes. Numerous important biochemical systems consist of many species subject to many reactions. As a result, their mathematical models depend on many parameters. In applications, some of the model parameters may be unknown, so their values need to be estimated from the experimental data. However, the problem of parameter value inference can be quite challenging, especially in the stochastic setting. To estimate accurately the values of a subset of parameters, the system should be sensitive with respect to variations in each of these parameters and they should not be correlated. In this paper, we propose a technique for detecting collinearity among models' parameters and we apply this method for selecting subsets of parameters that can be estimated from the available data. The analysis relies on finite-difference sensitivity estimations and the singular value decomposition of the sensitivity matrix. We illustrated the advantages of the proposed method by successfully testing it on several models of biochemical systems of practical interest.

PVT1 and ZFAS1 lncRNAs expressions and their biomarker value in gastric cancer tissue sampling among Iranian population.

BACKGROUND: lncRNAs are modulatory factors with critical function in the tumorigenesis pathways, introducing them as promising therapeutic and diagnostic biomarkers for different cancers. This study is thus aimed to evaluate the differences in PVT1 and ZFAS1 gene expression in tumorous tissues as compared with adjacent healthy non-tumorous biopsies of gastric cancer cases. METHODS: One hundred two pairs of tumorous and adjacent non-tumorous biopsies of GC cases were sampled. RNA isolation and cDNA production were carried out. The qRT-PCR was performed to evaluate the expression of PVT1 and ZFAS1 genes. Moreover, the associations between PVT1 or ZFAS1 and clinicopathological characteristics as well as the biomarker roles of the lncRNAs were assessed. RESULTS: The PVT1 and ZFAS1 expressions showed a significant increase and decrease in GC samples as compared with non-cancerous tissues, respectively. PVT1 expression was significantly associated with and lymph-node involvement (p = 0.0007). Moreover, ZFAS1 expression demonstrated a significant association with lymph-node involvement (p = 0.0005), and tumor size >5 cm (p = 0.003). The findings of the ROC curve revealed that PVT1 and ZFAS1 may act as a possible biomarker with AUC of 0.71 and 0.79, specificity of 78.43% and 79.41%, and sensitivity of 55.88% and 64.71%. CONCLUSIONS: Regarding upregulation of PVT1 and downregulation of ZFAS1 in human GC samples, these genes may respectively act as oncogenic and tumor-suppressive factors in GC cases. Furthermore, PVT1 and ZFAS1 can be considered as possible biomarkers for the detection and treatment of GC cases.

Cloning, expression, and spectral analysis of mouse betatrophin.

Background: Betatrophin, a novel secretory protein from liver and fatty tissues, is believed to be involved in lipid and glucose metabolism. However, its precise physiological role remains unclear. Here, we report the cloning, expression, and purification steps of mouse betatrophin in a prokaryotic system, followed by its structural analysis. Methods: Specific cloning primers were used to amplify the coding sequence of mouse liver betatrophin. The product was cloned into pET28 and expressed in E.coli BL21 (DE3) cells. The suitability of the refolding procedure was assessed by determining secondary structures of the initial and refolded proteins using circular dichroism spectroscopy. Results: The polymerase chain reaction resulted in a 549 bp nucleotide sequence, encoding a 183 amino acid polypeptide, with an apparent molecular weight of 21 kDa, which was expressed in an inclusion body. Following an optimization and refolding procedure, the recombinant protein was purified by anion exchange and metal affinity chromatography. CD spectra revealed that the refolded protein has suitable configuration. Conclusion: We believe that the produced betatrophin is suitable for further biochemical studies on glucose and lipid metabolism.

Lossless and lossy compression of quantitative phase images of red blood cells obtained by digital holographic imaging.

In this paper, we evaluate lossless and lossy compression techniques to compress quantitative phase images of red blood cells (RBCs) obtained by an off-axis digital holographic microscopy (DHM). The RBC phase images are numerically reconstructed from their digital holograms and are stored in 16-bit unsigned integer format. In the case of lossless compression, predictive coding of JPEG lossless (JPEG-LS), JPEG2000, and JP3D are evaluated, and compression ratio (CR) and complexity (compression time) are compared against each other. It turns out that JP2k can outperform other methods by having the best CR. In the lossy case, JP2k and JP3D with different CRs are examined. Because some data is lost in a lossy way, the degradation level is measured by comparing different morphological and biochemical parameters of RBC before and after compression. Morphological parameters are volume, surface area, RBC diameter, sphericity index, and the biochemical cell parameter is mean corpuscular hemoglobin (MCH). Experimental results show that JP2k outperforms JP3D not only in terms of mean square error (MSE) when CR increases, but also in compression time in the lossy compression way. In addition, our compression results with both algorithms demonstrate that with high CR values the three-dimensional profile of RBC can be preserved and morphological and biochemical parameters can still be within the range of reported values.

Serodiagnosis of fasciolosis by fast protein liquid chromatography-fractionated excretory/secretory antigens.

In several studies, different antigenic preparations and diverse immunological tests were applied for serodiagnosis of Fasciola hepatica infections. Most of these preparations showed cross-reactivity with proteins of other parasites. Application of purified antigens might reduce these cross-reactivities. Here, we used fast protein liquid chromatography (FPLC)-fractionated extracts of F. hepatica excretory/secretory antigens (E/S Ags) for serodiagnosis of human and sheep fasciolosis. To develop an improved diagnostic method, we fractionated F. hepatica E/S Ags by anion exchange chromatography on a Sepharose CL-6B column and then tested the serodiagnostic values of the fractions. We used sera from F. hepatica-infected human and sheep as positive controls. Sera from patients with hydatidosis and strongyloidiasis were used for cross-reactivity studies. Enzyme-linked immunosorbent assays (ELISA) of the second FPLC peak, containing 20, 25, and 70 kDa proteins, discriminated between F. hepatica-infected and uninfected human and sheep samples. Fractionation of F. hepatica E/S Ags by FPLC is a fast and reproducible way of obtaining antigens useful for serodiagnosis of human and sheep fasciolosis with acceptable sensitivity and specificity. Graphical abstract ᅟ.

Investigating SNHG3 and BCYRN1 lncRnas expression in the peripheral blood cells of multiple sclerosis patients.

BACKGROUND: MS (Multiple sclerosis) is a progressive neurologic disorder often appearing in the third decade of life. MS is the most frequent demyelinating disease of the central nervous system. The development of MS is influenced by environmental, genetic, and epigenetic factors. The bulk of the human transcriptome comprises lncRNAs, which play crucial regulatory roles. We aimed to assess the SNHG3 and BCYRN1 lncRNA expression in blood samples from MS patients and how these lncRNAs and disease activity are related. METHODS: A total of 100 MS patients, including 8 primary progressive (PP), 82 relapsing-remitting (RR), and 10 secondary progressive (SP) MS, as well as 100 healthy controls, had their blood samples taken. Gene expression was assessed using quantitative real-time PCR. Recognizing the receiver operating characteristic (ROC) curve analysis, the diagnostic potential of lncRNA levels was evaluated. RESULTS: Expressions of SNHG3 and BCYRN1 were found to have significantly increased (p < 0.0001). SNHG3 expression level showed significant differences compared to age groups and MS subtypes (p value = 0.001 and p value = 0.02).Furthermore, patients with a family history showed elevated BCYRN1 expression with a p value of 0.01. Considering the age factor, BCYRN1 exhibits altered expression levels in patient groups compared to healthy controls (p value 0.04). Additionally, the novel biomarkers SNHG3 and BCYRN1 can be used to diagnose MS (AUC = 0.97 and AUC = 0.88, respectively). DISCUSSION: Increased levels of SNHG3 and BCYRN1 in the serum may serve as potential molecular biomarkers for the MS diagnosis.

Application of an Endodontic Static Guide in Fiber Post Removal from a Compromised Tooth.

Removing a fiber post from a root canal that requires endodontic retreatment is often very challenging. Conventional freehand techniques for removing fiber posts are time-consuming, sometimes result in iatrogenic errors, and heavily rely on the practitioner's experience. The endodontic static guide can be an alternative method. While the use of an endodontic 3D-printed static guide for fiber post removal has been reported as highly successful, it can also cause complications. Skipping any critical steps during the guide construction or its clinical application can lead to errors. This case report presents the saving of a compromised tooth with a fractured fiber post and a periapical lesion around the apex through the use of an endodontic static guide for fiber post removal. This study describes possible sources of error that may happen during construction and clinical use of the guide.

A mathematical model of protein subunits COVID-19 vaccines.

We consider a general mathematical model for protein subunit vaccine with a focus on the MF59-adjuvanted spike glycoprotein-clamp vaccine for SARS-CoV-2, and use the model to study immunological outcomes in the humoral and cell-mediated arms of the immune response from vaccination. The mathematical model is fit to vaccine clinical trial data. We elucidate the role of Interferon-γ and Interleukin-4 in stimulating the immune response of the host. Model results, and results from a sensitivity analysis, show that a balance between the TH1 and TH2 arms of the immune response is struck, with the TH1 response being dominant. The model predicts that two-doses of the vaccine at 28 days apart will result in approximately 85% humoral immunity loss relative to peak immunity approximately 6 months post dose 1.

Expression pattern of PCAT1, PCAT2, and PCAT5 lncRNAs and their value as diagnostic biomarkers in patients with gastric cancer.

BACKGROUND: Gastric cancer (GC), is a complex multifactorial neoplasm with a high mortality and prevalence rate all over the world. Hence, it is necessary to identify the multiple pathways that are previously unknown and are involved in its initiation and progression. Recently, it has become clear that long non-coding RNAs (lncRNAs) play a crucial role in the onset and spread of cancer. The current study assessed the lncRNAs PCAT1, PCAT2, and PCAT5 expression in primary gastric tumors and adjacent noncancerous tissues. METHODS: 90 pairs of GC and adjacent noncancerous tissue samples were obtained. Total RNA was extracted, then cDNA was synthesized. Using quantitative reverse transcriptase PCR (qRT-PCR), PCAT1, PCAT2, and PCAT5 expression levels were evaluated. Using the SPSS statistical package, the correlation between clinicopathological characteristics and the expression of PCAT1, PCAT2, and PCAT5 was investigated. The diagnostic value of PCAT1, PCAT2, and PCAT5 in GC was assessed using the receiver operating characteristic (ROC) curve analysis. RESULTS: Compared to surrounding non-cancerous tissues, PCAT1, PCAT2, and PCAT5 were all significantly overexpressed in tumoral tissues (P = 0.001, P = 0.019, and P = 0.0001, respectively). PCAT5 expression was significantly associated with gender (P = 0.020), according to our research. The ROC curve's findings indicated that PCAT1, PCAT2, and PCAT5 may each function as poor diagnostic biomarkers, with respective AUC values of 64 %, 60 %, and 68 %, specificity values of 68 %, 60 %, and 76 %, and sensitivity values of 55 %, 72 %, and 52 %. CONCLUSION: Our research suggested that PCAT1, PCAT2, and PCAT5 may be engaged in promoting and developing GC cells as a novel oncogene because of the increased expression of PCAT1, PCAT2 and PCAT5 in tumor tissues of GC patients. Additionally, PCAT1, PCAT2, and PCAT5 can be thought of as poor diagnostic biomarkers for GC case detection.

Expression Level of lncRNA CYTOR in Iranian Cervical Cancer Patients.

Background: A critical role has been known for lncRNAs in the initiation and development of cancers. Therefore, lncRNAs have been reported as the possible biomarkers in relation to the diagnosis and therapy of malignancies. This project examined the change in CYTOR lncRNA expression in human cervical cancer samples as compared with adjacent healthy ones. Methods: We provided one hundred fifteen pairs of tumorous and adjacent healthy tissue specimens of cervical cancer patients. RNAs were isolated from tissue specimens and cDNAs were synthesized. We considered quantitative Real-time PCR (qRT-PCR) to examine the expression levels of CYTOR lncRNA. In addition, the biomarker activity of CYTOR and the associations between the lncRNA and clinicopathological characteristics were evaluated. Results: The significant increased expression of CYTOR was obtained in cancerous samples as compared with non-cancerous ones (P< 0.0001). A significant correlation was indicated between CYTOR expression and the squamous subtype of cervical cancer (p=0.046). The receiver operating characteristic (ROC) curve-related AUC (area under the curve), specificity, and sensitivity were calculated 0.88, 81.74%, and 80%, respectively, which may introduce CYTOR as a potential biomarker. Conclusion: CYTOR may be an effective oncogene and biomarker in cervical cancer cases given its increased expression in human cervical cancer tissues.

Gait modification with subject-specific foot progression angle in people with moderate knee osteoarthritis: Investigation of knee adduction moment and muscle activity.

BACKGROUND: Subject-specific foot progression angle (SSFPA) as a personalized gait modification is a novel approach to specifically reducing knee adduction. OBJECTIVE: This study aimed to investigate the effect of gait modification with SSFPA on the knee adduction moment and muscle activity in people with moderate knee osteoarthritis (KOA). METHODS: In this clinical trial, nineteen volunteers with moderate KOA were instructed to walk in four different foot progression angle conditions (5° toe-out, 10° toe-out, 5° toe-in, and 10° toe-in) to determine SSFPA that caused the greatest reduction in the greater peak of the knee adduction moment (PKAM). Immediately and after 30 minutes of gait modification with SSFPA, peak root means square (PRMS) and medial and lateral co-contraction index (CCI) were evaluated in the knee muscles. RESULT: Walking with 10° toe-in showed the most reduction in the greater PKAM (17.52 ± 15.39%) compared to 5° toe-in (7.1 ± 19.14%), 10° toe-out (1.26 ± 23.13%), and 5° toe-out (7.64 ± 16.71%). As the immediate effect, walking with SSFPA caused a 20.71 ± 12.07% reduction in the greater PKAM than the basic FPA (p < 0.001). After 30 minutes of gait retraining, the greater PKAM decreased by 10.36 ± 26.24%, but this reduction was not significant (p = 0.17). In addition, PRMS of lateral gastrocnemius increased (p = 0.04), and lateral CCI increased 10.72% during late stance (p = 0.04). CONCLUSION: Our findings suggest the immediate effect of gait modification with SSFPA on decreasing the knee adduction moment. After gait retraining with SSFPA, the increase of lateral muscle co-contraction may enhance lateral knee muscle co-activity to unload the medial knee compartment. Clinical Trial Register Number: IRCT20101017004952N8.

Immune Memory After Respiratory Infection With Streptococcus pneumoniae Is Revealed by in vitro Stimulation of Murine Splenocytes With Inactivated Pneumococcal Whole Cells: Evidence of Early Recall Responses by Transcriptomic Analysis.

The in vitro stimulation of immune system cells with live or killed bacteria is essential for understanding the host response to pathogens. In the present study, we propose a model combining transcriptomic and cytokine assays on murine splenocytes to describe the immune recall in the days following pneumococcal lung infection. Mice were sacrificed at days 1, 2, 4, and 7 after Streptococcus pneumoniae (TIGR4 serotype 4) intranasal infection and splenocytes were cultured in the presence or absence of the same inactivated bacterial strain to access the transcriptomic and cytokine profiles. The stimulation of splenocytes from infected mice led to a higher number of differentially expressed genes than the infection or stimulation alone, resulting in the enrichment of 40 unique blood transcription modules, including many pathways related to adaptive immunity and cytokines. Together with transcriptomic data, cytokines levels suggested the presence of a recall immune response promoting both innate and adaptive immunity, stronger from the fourth day after infection. Dimensionality reduction and feature selection identified key variables of this recall response and the genes associated with the increase in cytokine concentrations. This model could study the immune responses involved in pneumococcal infection and possibly monitor vaccine immune response and experimental therapies efficacy in future studies.

Expression of lncRNAs AK058003 and APOC1P1 in breast cancer patients.

In the current study, the expression levels of two important lncRNAs, i.e., AK058003 and APOC1P1, in breast tumors were compared with adjacent non-tumor tissues to evaluate their diagnostic potential in a panel of 121 patients. Total RNA was extracted, cDNA was synthesized and expression of AK058003 and APOC1P1 was assessed using qRT-PCR. A significant overexpression and positive correlation between these two lncRNAs were observed in tumor tissues compared to marginal healthy tissues. In conclusion, the examined lncRNAs were overexpressed in tumor tissues, suggesting their significant diagnostic value in breast cancer.

Moderate Prognostic Value of lncRNA FOXD2-AS1 in Gastric Cancer with Helicobacter pylori Infection.

PURPOSE: Gastric cancer (GC) is one of the most frequent tumors worldwide and identification of a sensitive and specific prognostic biomarker is of great importance. Long non-coding RNAs (lncRNAs) play crucial roles in tumorigenesis of various malignancies. In the present study, we investigated lncRNA FOXD2-AS1 expression in gastric tumors and assessed its potential as a prognostic biomarker. METHODS: A total of 95 tumor and corresponding adjacent non-tumor tissue specimens were collected from patients with GC from Imam Reza hospital, Tabriz, Iran. Total RNA was isolated and FOXD2-AS1 expression was measured using quantitative reverse transcriptase (qRT)-PCR. RESULTS: FOXD2-AS1 was significantly upregulated in tumor samples as compared to non-tumor tissues (P < 0.0001). In addition, higher expression of FOXD2-AS1 was significantly associated with lymph node metastasis and Helicobacter pylori infection. The receiver operating characteristic (ROC) curve analysis revealed that FOXD2-AS1 might be served as a potential prognostic biomarker for GC. CONCLUSION: FOXD2-AS1 is upregulated in gastric tumors and can be used as a valuable biomarker in the prognosis of patients with GC.

Prognostic Value of LncRNA KRT18P55 in Patients with Intestinal Type of Gastric Cancer.

PURPOSE: Gastric cancer (GC) is a heterogeneous disease, and this heterogeneity significantly affects survival and treatment outcomes. Identification of molecular biomarkers specific for early-stage GC can help clinicians to choose more precise and effective treatment approaches. Long non-coding RNAs (lncRNAs) have the potential to be used as biomarkers because of their tissue specificity, stability, and availability in body fluids. In this study, we aimed to investigate changes in the expression levels of lncRNA KRT18P55 and to assess its biomarker potentials in patients with GC. METHODS: Tumor and non-tumor marginal tissues were collected from 102 patients at Noor-Nejat Hospital (Tabriz, Iran). RNA was isolated, and quantitative reverse transcriptase PCR (qRT-PCR) was performed to assess KRT18P55 expression levels in tumor and non-tumor tissue samples. The receiver operating characteristic (ROC) curve analysis was performed to evaluate potentials of KRT18P55 as a prognostic biomarker in GC. SPSS and GraphPad Prism software were used for data analysis. RESULTS: We found that KRT18P55 is significantly overexpressed in tumor as compared to non-tumor tissues (p < 0.0001). We found a significant association between KRT18P55 overexpression and intestinal GC subtype (p < 0.0001), lymph node metastasis (p = 0.013), and Helicobacter pylori infection (p = 0.033). Based on the ROC analysis, KRT18P55 showed a sensitivity and specificity of 53.92% and 77.45%, respectively. CONCLUSION: Overexpression of KRT18P55 in gastric tumors is suggestive of its oncogenic role in GC. In addition, KRT18P55 may be used as a potential prognosis biomarker and therapeutic target in intestinal GC subtype.

Analysis of Host Immunological Response of Adenovirus-Based COVID-19 Vaccines.

During the SARS-CoV-2 global pandemic, several vaccines, including mRNA and adenovirus vector approaches, have received emergency or full approval. However, supply chain logistics have hampered global vaccine delivery, which is impacting mass vaccination strategies. Recent studies have identified different strategies for vaccine dose administration so that supply constraints issues are diminished. These include increasing the time between consecutive doses in a two-dose vaccine regimen and reducing the dosage of the second dose. We consider both of these strategies in a mathematical modeling study of a non-replicating viral vector adenovirus vaccine in this work. We investigate the impact of different prime-boost strategies by quantifying their effects on immunological outcomes based on simple system of ordinary differential equations. The boost dose is administered either at a standard dose (SD) of 1000 or at a low dose (LD) of 500 or 250 vaccine particles. Results show dose-dependent immune response activity. Our model predictions show that by stretching the prime-boost interval to 18 or 20, in an SD/SD or SD/LD regimen, the minimum promoted antibody (Nab) response will be comparable with the neutralizing antibody level measured in COVID-19 recovered patients. Results also show that the minimum stimulated antibody in SD/SD regimen is identical with the high level observed in clinical trial data. We conclude that an SD/LD regimen may provide protective capacity, which will allow for conservation of vaccine doses.

In vitro Antibacterial Effect of Hydroalcoholic Extract of Lawsonia inermis, Malva sylvestris, and Boswellia serrata on Aggregatibacter actinomycetemcomitans.

BACKGROUND: Considering the increased rate of microbial resistance to antibiotics and chemical side effects of antibiotics and antiseptics used for the treatment of periodontal disease, there is a need for an alternative antimicrobial agent with fewer complications. Medicinal herbs have recently become popular as novel antimicrobial agents. This study aimed to assess the antibacterial effects of hydroalcoholic extracts of Lawsonia inermis, Malva sylvestris, and Boswellia serrata on Aggregatibacter actinomycetemcomitans. MATERIALS AND METHODS: Hydroalcoholic extracts of the three medicinal plants were obtained by the maceration technique and A. actinomycetemcomitans was cultured. Antimicrobial efficacy of the three medicinal plants was compared with that of 0.2% chlorhexidine (CHX) according to the Clinical and Laboratory Standards Institute protocol using agar disc diffusion and broth microdilution techniques. All tests were repeated three times. RESULTS: Hydroalcoholic extracts of all three plants had antimicrobial activity against A. actinomycetemcomitans. The minimum inhibitory concentration (MIC) of L. inermis, M. sylvestris, and B. serrata was 78.1, 156.2, and 1666 µg/mL with no significant difference between them. The MIC of CHX was 3.33 µg/mL, which was significantly higher than that of B. serrata extract. CONCLUSION: Given that further in vivo studies confirm other properties of these extracts and their safety in terms of cytotoxicity and mutagenicity, hydroalcoholic extracts of L. inermis and M. sylvestris may be used in mouthwashes or local delivery systems to affect periodontal biofilm.

Cloning, Expression, Purification and CD Analysis of Recombinant Human Betatrophin.

BACKGROUND: Betatrophin is a member of the angiopoietin-like (ANGPTL) family that has been implicated in both triglyceride and glucose metabolism. The physiological functions and molecular targets of this protein remain largely unknown; hence, a purified available protein would aid study of the exact role of betatrophin in lipid or glucose metabolism. METHODS: In this study, we cloned the full-length cDNA of betatrophin from a human liver cDNA library. Betatrophin was expressed in the pET-21b-E. coli Bl21 (DE3) system and purified by immobilized metal-affinity chromatography and ion-exchange chromatography. RESULTS: Circular dichroism spectroscopy revealed α-helix as the major regular secondary structure in recombinant betatrophin. CONCLUSION: The production method is based on commonly available resources; therefore, it can be readily implemented.