Global risk factors of contrast-induced acute kidney injury: systematic review and meta-analysis

Background

Administration of iodinated contrast is common but may be associated with contrast-induced acute kidney injury (CI-AKI), particularly in at-risk patients. There is no recent systematic review of potentially modifiable risk factors.

Methods

We searched MEDLINE, Embase and the Cochrane Database of Systematic Reviews (to 30 th June 2019) for observational studies assessing risk factors associated with CI-AKI. Twelve potentially modifiable risk factors were finally included in this thematic review and meta-analysis. Random or fixed meta-analysis was performed to derive the adjusted odds ratio (aOR), and the population attributable risk (PAR) was calculated for each risk factor globally and by region.

Findings

We included 157 studies (2,297,863 participants). The global incidence of CI-AKI was 5.4%. The potentially modifiable risk factors included high contrast volume (PAR 33%), eight cardiovascular risk factors (diuretic use, multivessel coronary artery disease, acute coronary syndrome, hypertension, hypotension, heart failure, reduced left ventricular ejection fraction and intra-aortic balloon pump use) (combined PAR 76.2%) and three noncardiovascular risk factors (renal dysfunction, diabetes mellitus and anaemia) (combined PAR 47.4%) with geographical differences.

Bubble chart of the 12 risk factors

Funding Acknowledgement

Type of funding source: Public Institution(s). Main funding source(s): National Science Foundation of China

Identifying the value of RVEF for the prediction of major cardiovascular outcomes: a study of 7,131 patients undergoing cardiovascular magnetic resonance imaging

Background

Right ventricular (RV) function remains poorly recognized for its value in predicting cardiovascular events at a population level. Cardiovascular Magnetic Resonance (CMR) imaging is the gold standard for RV assessment.

Purpose

To define the independent prognostic value of RVEF for the prediction of major adverse cardiovascular events (MACE) as primary outcome in patients with known or suspected cardiovascular disease.

Methods

Data was obtained from the Cardiovascular Imaging Registry of Calgary (CIROC). Patients underwent standardized CMR imaging protocols and analysis. Clinical events were identified from administrative data.

Results

7,131 patients were included. 870 primary outcome events occurred over 2.5 years follow-up. RVEF provided equivalent predictive utility versus LVEF (Table 1). There was an increase in events with worsening severity of RVEF (Figure 1), with a significant “threshold-effect” at an RVEF of 40%.

Conclusions

RVEF is a strong and independent predictor of MACE at a population level.

Figure 1

Funding Acknowledgement

Type of funding source: None

A simple nomogram to predict contrast-induced acute kidney injury in patients with congestive heart failure undergoing coronary angiography

Background

Patients with congestive heart failure (CHF) are vulnerable to contrast-induced acute kidney injury (CI-AKI), but few prediction models are currently available.

Objectives

We aimed to establish a simple nomogram for CI-AKI risk assessment for patients with CHF undergoing coronary angiography.

Methods

A total of 1876 consecutive patients with CHF (defined as New York Heart Association functional class II-IV or Killip class II-IV) were enrolled and randomly (2:1) assigned to a development cohort and a validation cohort. The endpoint was CI-AKI defined as serum creatinine elevation of ≥0.3 mg/dL or 50% from baseline within the first 48–72 hours following the procedure. Predictors for the nomogram were selected by multivariable logistic regression with a stepwise approach. The discriminative power was assessed using the area under the receiver operating characteristic (ROC) curve and was compared with the classic Mehran score in the validation cohort. Calibration was assessed using the Hosmer–Lemeshow test and 1000 bootstrap samples.

Results

The incidence of CI-AKI was 9.06% (n=170) in the total sample, 8.64% (n=109) in the development cohort and 9.92% (n=61) in the validation cohort (p=0.367). The simple nomogram including four predictors (age, intra-aortic balloon pump, acute myocardial infarction and chronic kidney disease) demonstrated a similar predictive power as the Mehran score (area under the curve: 0.80 vs 0.75, p=0.061), as well as a well-fitted calibration curve.

Conclusions

The present simple nomogram including four predictors is a simple and reliable tool to identify CHF patients at risk of CI-AKI, whereas further external validations are needed.

Figure 1

Funding Acknowledgement

Type of funding source: None

Development and validation of a risk model for the prediction of cardiovascular hospital admission using CMR-based phenotype in patients with known or suspected cardiovascular disease

Background

Cardiovascular diseases remain the leading cause of morbidity worldwide and impose the highest economic burden among noncommunicable diseases. Much of these costs are related to hospitalizations for adverse cardiovascular events, which may be reduced by targeted management of high-risk patients. Cardiac markers derived from CMR imaging have been shown to be strong independent predictors of prognosis within specific cohorts. However, its capacity to broadly contribute to risk models aimed at predicting incident cardiac hospitalization has not been demonstrated.

Purpose

Using a large clinical outcomes registry of patients clinically referred for CMR, develop and validate a nomogram for prediction of cardiovascular hospital admission.

Methods

A total of 7127 consecutive patients were prospectively recruited between 02/2015 and 07/2019. All patients completed standardized health questionnaires and CMR imaging protocols. A nomogram was developed for prediction of cardiovascular hospitalization, inclusive of admission for heart failure, MI, cardiac arrest, heart transplant, LVAD implantation, or stroke. The risk model was derived from 80% (n=5702) of the cohort using Cox modelling that included CMR, medication, laboratory, and patient-reported health variables. Model validation was assessed by discrimination and calibration procedures applied to the remaining 20% of patients (n=1425). A minimum follow-up of six months was mandated.

Results

The derivation cohort was comprised of 38% females with a median age of 56 (IQR 44–65) years. During a median follow-up of 934 days, 514 (9.0%) events occurred. The validation cohort was similarly comprised of 37% females with a median age of 57 (IQR 44–66) years. During a median follow-up of 970 days, 142 (10.0%) events occurred. Numerous CMR parameters were significantly different between those experiencing versus not experiencing the primary composite outcome, including: LVEF (44% vs 59%, p<0.0001), RVEF (52% vs 55%, p<0.0001), LV mass (65g/m2 vs 56g/m2, p<0.0001), and LA volume (43mL/m2 vs 34mL/m2, p<0.0001). These and other CMR-derived characteristics were independently predictive of the composite outcome by univariate modelling (Figure 1A). An eight-variable nomogram (Figure 1B) was developed using a stepwise multivariate model that exhibited high discrimination in both the derivation and validation cohorts (C-index 0.81 and 0.83, respectively). Continuous model calibration curves indicated satisfactory external performance. The model was able to discriminate risk of hospitalization at 1-year with a dynamic range of 20–99%.

Conclusion

Using data available at time of CMR imaging, we derived and validated a Cox-based nomogram that offers robust prediction of future cardiovascular admissions. This tool may provide value for the identification of patients who may benefit from targeted surveillance and management strategies, and may offer a foundation for improved patient-specific cost modelling.

Figure 1

Funding Acknowledgement

Type of funding source: None

A comprehensive understanding of ovarian carcinoma survival prognosis by novel biomarkers

OBJECTIVE

Ovarian cancer is one of the most common causes of cancer-related deaths in women. Many studies show that dysregulated gene expression plays a key role in tumorigenesis and development. Therefore, a comprehensive understanding of ovarian serous cystadenocarcinoma survival prognosis is needed.

PATIENTS AND METHODS

A large number of high-dimensional RNA-sequencing files and clinical datasets collected from the Genomic Data Commons Data Portal were utilized to identify novel potential biomarkers for determining the prognosis of patients with ovarian serous cystadenocarcinoma (OVSC). We adopted a new strategy to identify these biomarkers by integrating co-expression network analysis and the Kaplan-Meier estimation with a non-parametric bootstrapping procedure.

RESULTS

Functional enrichment analysis of gene modules of interest revealed several dysregulated genes in OVSC, suggesting a close relationship between hormones and angiogenesis. In combination with this comprehensive approach, 14 genes, including ABCA10, DCX, LRRC30, ALX4, DKK4, SGCZ, ANKS4B, FHL5, SPRR2F, CHRNG, GABRR1, STMN2, CRHBP, and GSTM5, were shown to serve as candidate biomarkers for predicting the prognosis of patients with OVSC.

CONCLUSIONS

The current study identified several valuable prognostic biomarkers and several potential therapeutic targets for treating OVSC.

Long noncoding RNA FAM201A involves in radioresistance of non-small-cell lung cancer by enhancing EGFR expression via miR-370

OBJECTIVE

The aberrant expression of long noncoding RNAs (lncRNAs) is involved in the molecular regulation of non-small cell lung cancer (NSCLC). This study aims to investigate the biological interaction of lnc-FAM201A and its downstream factors and their impacts on the radiotherapy response of NSCLC.

PATIENTS AND METHODS

Quantitative Polymerase Chain Reaction (qPCR) was used to determine the expression of FAM201A in NSCLC tissues. The Chi-square tests explored the association between FAM201A level and the poor clinicopathological characteristics (including radioresistance) of NSCLC. Univariate and multivariate Cox proportional hazards regression analyses were used to evaluate various prognostic factors for overall survival (OS). The effect of FAM201A on OS was tested by the log-rank test. A549/SK-MES-1 cell lines transfected with short hairpin RNA (shRNA) were used to verify the promoting effects of FAM201A on radiotherapy resistance in vitro and in vivo. Cell apoptosis (analyzed by flow cytometry), cell proliferation (determined by Cell Counting Kit-8), and mice xenograft models were performed to confirm the results. The downstream targets of FAM201A were predicted by bioinformatics tools. Additionally, the Dual-luciferase reporter assay, qPCR, and Western blotting were performed to confirm their interaction.

RESULTS

FAM201A was significantly upregulated in tissues obtained from NSCLC patients resistant to radiotherapy. Increased FAM201A expression was strongly associated with radioresistance and inferior survival in NSCLC, as demonstrated by clinical data. The silence of FAM201A could inhibit cell proliferation and further cell apoptosis of NSCLC cells under X-ray irradiation both in vitro and in vivo. Moreover, by competitively targeting miR-370, FAM201A elevated the epidermal growth factor receptor (EGFR) and the hypoxia-inducible factor 1alpha (HIF-1α) levels. After FAM201A knockdown, EGFR and HIF-1α were repressed with enhanced radiosensitivity.

CONCLUSIONS

The interference of FAM201A impairs its suppression of miR-370, resulting in the upregulation of EGFR and HIF-1α and enhancement of radiosensitivity in NSCLC patients. Collectively, our results indicated that this regulatory axis might serve as a potential therapeutic target to increase the sensitivity of radiotherapy in NSCLC patients.

Nanographene oxides carrying antisense walR RNA regulates the Enterococcus faecalis biofilm formation and its susceptibility to chlorhexidine

Enterococcus faecalis is the dominant pathogen for persistent periapical periodontitis. The chlorhexidine (CHX) is used as conversional irrigation agents during endodontic root canal therapy. It was reported that the antisense walR RNA (ASwalR) suppressed the biofilm organization. The aim of this study was to investigate the antimicrobial effects of novel graphene oxide (GO)-polyethylenimine (PEI)-based antisense walR (ASwalR) on the inhibition of E. faecalis biofilm and its susceptibility to chlorhexidine. The recombinant ASwalR plasmids were modified with a gene encoding enhanced green fluorescent protein (ASwalR-eGFP) as a reporter gene so that the transformation efficiency could be evaluated by the fluorescence intensity. The GO-PEI-based ASwalR vector transformation strategy was developed to be transformed into E. faecalis and to over-produce ASwalR in biofilms. Colony forming units (CFU) and confocal laser scanning microscopy were used to investigate whether the antibacterial properties of antisense walR interference strategy sensitize E. faecalis biofilm to the CHX. The results indicated that overexpression of ASwalR by GO-PEI-based transformation strategy could inhibit biofilm formation, decrease the EPS synthesis and increase the susceptibility of E. faecalis biofilms to CHX. Our reports demonstrated that antisense walR RNA will be a supplementary strategy in treating E. faecalis with irrigation agents.

[Status of chronic filariasis: a cross-sectional study in Jiangxi Province, 2018]

OBJECTIVE

To understand the status of chronic filariasis patients in Jiangxi Province in 2018, so as to provide insights into the follow-up care of the patients.

METHODS

In 2018, a case follow-up study was conducted in all registered patients with chronic filariasis in previously endemic areas of Jiangxi Province, and a clue investigation was done for identifying the missing patients. In addition, the data of caring sites for chronic filarisis patients were collected and analyzed in the province.

RESULTS

A total of 802 chronic filariasis patients were identified in 56 counties (districts) of Jiangxi Province in 2018. The patients had a male/female ratio of 1∶1, and 85.41% had ages of over 70 years. There were 58.60%, 93.89%, 17.21% and 3.62% of chronic filariasis patients with lymphangitis, lymphedema/elephantiasis, chyluria and hydrocele, respectively. A total of 273 caring sites were assigned in 56 counties (districts) of Jiangxi Province, and 306 caring activities were carried out in 2018.

CONCLUSIONS

The number of chronic filariasis patients has significantly decreased in Jiangxi Province; however, the care remains to be intensified for chronic filariasis patients.

Characterization data of reference industrial polycarboxylate superplasticizers used within Priority Program DFG SPP 2005 "Opus Fluidum Futurum - Rheology of reactive, multiscale, multiphase construction materials"

Two industrial polycarboxylate superplasticizer samples have been selected to be used within the Priority Program 2005 of the German Research Foundation (DFG SPP 2005). The PCE polymers were characterized via Size Exclusion Chromatography (SEC) to determine their molar masses (M_w, M_n), the polydispersity index (PDI) and the conversion rate which indicates the incorporation of the macromonomer into the polymer. The anionic charge amount of the PCE samples was assessed via charge titration employing a cationic polymer. Furthermore, the cement dispersing properties of the PCE polymers were captured via 'mini slump' tests so as to assess their ability to fluidize CEM I 42.5 R and CEM III/A 42.5 N samples, respectively. Also, interaction between the PCEs and the surface of the cements was investigated via adsorption and zeta potential measurements of aqueous cement suspensions. The results shall be used for the ongoing research within the Priority Program.

SAT0647-HPR DEVELOP A MACHINE LEARNING MODEL AND ALGORITHM BASED ON SMART SYSTEM OF DISEASE MANAGEMENT (SSDM) BIG DATA FOR RA FLARE PREDICTION

Background:

Flare, relapse from status of treat-to-target (T2T, DAS28<=3.2), is hard predicted. We try to make it predictable by applying machine learning to a database from smart system of disease management (SSDM). SSDM is an interactive mobile disease management APPs.

Objectives:

To develop and validate machine learning algorithms for flare prediction in RA.

Methods:

Patients were trained using SSDM and input their data, including demographic, comorbidities (COMBs), lab test, medications and monthly self-assessments, including DAS28, HAQ, SF-36, Hospital Anxiety and Depression Scale (HADS). The data was uploaded to cloud and synchronized to the mobile of authorized rheumatologists. The COMBs were by ICD-9, and medications were listed as cDMARDs, Bio (BioDMARDs), NSAIDs, Steroid, FS (food supplements), MC (medicine for COMBs), TCM (Traditional Chinese Medicine), and combinations.

Results:

From Jan of 2015 to Jan of 2020, 8811 RA patients, 85% female and 15% male, used to reach T2T. 4556 were flare-free and 4255 suffering at least one flare. The average 160 attributes were extracted from each flare-free patient at time of reaching T2T, and each flare patients at time of 3 months before the flare. Patients were randomly assigned as model setup (training) group (70%) and validation (testing) group30%.

For training, data were processed using Python with statistical analyses in R. In R, random forests were implemented. Logistic regression via glm in base R. The random forest comprises a set of decision trees. “Splits” in the decision trees reflect binary (i.e., yes/no) respect to attributors. Bootstrapping was used to assess, quantify, and adjust for model optimism. Model performance was evaluated using AUC, precision and recall metrics. Brier scores for accuracy of probabilistic predictions ranged from 0 to 1 (0 is perfect discrimination).

The testing showed model performance for prediction windows are 0.78 for AUC (95% CI), 0.71 for Recall (sensitivity), 0.195 for Brier score, and 0.68 for precision (true positive 893, false positive 417, false negative 367, true negative 966).

Based on weighing in the random forest, the top 10 pro-flare attributes were CRP, swollen joint count (SJC), tender joint count (TJC), HAQ, DAS28, morning stiffness, gout, MCTD, OA, duration; while top 10 anti-flare attributes were cDMARDs+Bio, cDMARDs+steroid+NSAIDs, stable on HAQ, on morning stiffness, on SJC, medicine on COMBs, cDMARDs+TCM, stable on TJC, on ESR, income at 100-200k (Fig.1). The top weighing COMBs for pro-flaring were gout (0.81), MRD (0.75), OA (0.56), AS (0.48). The monotherapies with either Bio or NSAIDs, or steroid, or TCM was pro-flare; while with cDMARDs was anti-flare (-0.21).

Figure 1.

Conclusion:

The attempt to develop a machine learning algorithm for RA flare prediction is successful. The discrimination was acceptable. The attributes of both pro-flare and anti-flare are identified, which may inspire the proactive intervention.

Acknowledgments:

SSDM was developed by Shanghai Gothic Internet Technology Co., Ltd.

Disclosure of Interests:

None declared

Simple practical system for directly measuring magnetocaloric effects under large magnetic fields

Direct measurements of the adiabatic temperature change (ΔT_ad) in Gd and Mn_1.15Fe_0.8P_0.5Si_0.5C_0.05 are made using a homemade adiabatic magnetocalorimeter at 260-360 K and 0-7 T. The system uses a servo motor to drive the samples into and out of the magnetic field under a vacuum environment provided by the Physical Property Measurement System (PPMS). The peak values of ΔT_ad for Gd and Mn_1.15Fe_0.8P_0.5Si_0.5C_0.05 at 7 T are 8.71 K and 6.41 K at ambient temperatures of 303 K and 317 K, respectively. Based on the theory model, it is found that ΔT_ad of Gd depends on the 2/3 exponential function of magnetic field H (ΔT_ad ∝ H^2/3), whereas the Mn_1.15Fe_0.8P_0.5Si_0.5C_0.05 compound follows the power law of ΔT_ad ∝ H^0.66-1.04 due to the first order magnetic transitions. Furthermore, using the constructed experimental instrument, the adiabatic temperature change in different magnetic materials, including materials with first/second order magnetic transition and blocks, flakes, or powders, can be directly measured under large magnetic fields and wide temperature spans.

[A multicenter survey of the accessibility of essential medicines for children in China]

Objective: To investigate the availability, prices and affordability of essential medicines in pediatric population across China, in the hope of improving rational use of medicines. Methods: A multicenter cross-sectional survey of medicine prices, availability and affordability was conducted in 17 provinces, municipalities and autonomous region across east, south-central part, west and north of China. Data on 42 medicines used in pediatric population, both original and generic, were collected in 55 public hospitals from May 26 to June 2, 2017. Availability was expressed as the percentage of hospitals with stock of the target medicine on the day of data collection,and median price ratio (MPR) was the ratio of price upon investigation to international reference. Based on national minimum daily wage, affordability represents the number of working days needed to earn the expense which covers a standard course using the target medicine. Statistical software SPSS 13.0 was applied for descriptive analysis of availability, MPR and affordability. Results: Mean Availability of original and generic medicine was 33% and 32%, with median MPR being 5.43 and 1.55. Among the 19 medicines with price information for both original and generic product, the median MPR was 7.73 and 2.04 respectively. Regarding the five medicines used to treat four common pediatric diseases (pneumonia,peptic ulcer, congenital hypothyroidism, refractory nephrotic syndrome), the affordability was 0.63 (0.16-6.17) d for generic medicine, and 1.03 (0.16-11.53) d for its original counterpart. Conclusions: The availability to both original and generic products of the 42 medicines used in pediatric population was low in China. The prices of generic medicines seem to be lower and affordability higher than those of original medicines. There is an urgent need to improve the availability and affordability of pediatric medicines.

Carbohydrate Metabolism Regulated by Antisense vicR RNA in Cariogenicity

Streptococcus mutans is a major cariogenic pathogen that resides in multispecies oral microbial biofilms. The VicRK 2-component system is crucial for bacterial adaptation, virulence, and biofilm organization and contains a global and vital response regulator, VicR. Notably, we identified an antisense vicR RNA (AS vicR) associated with an adjacent RNase III–encoding ( rnc) gene that was relevant to microRNA-size small RNAs (msRNAs). Here, we report that ASvicR overexpression significantly impeded bacterial growth, biofilm exopolysaccharide synthesis, and cariogenicity in vivo. Transcriptome analysis revealed that the AS vicR RNA mainly regulated carbohydrate metabolism. In particular, overproducing AS vicR demonstrated a reduction in galactose and glucose metabolism by monosaccharide composition analysis. The results of high-performance gel permeation chromatography revealed that the water-insoluble glucans isolated from AS vicR presented much lower molecular weights. Furthermore, direct evidence showed that total RNAs were disrupted by rnc-encoded RNase III. With the coexpression of T4 RNA ligase, putative msRNA1657, which is an rnc-related messenger RNA, was verified to bind to the 5′-UTR regions of the vicR gene. Furthermore, AS vicR regulation revealed a sponge regulatory-mediated network for msRNA associated with adjacent RNase III–encoding genes. There was an increase in AS vicR transcript levels in clinical S. mutans strains from caries-free children, while the expression of AS vicR was decreased in early childhood caries patients; this outcome may be explored as a potential strategy contributing to the management of dental caries. Taken together, our findings suggest an important role of AS vicR-mediated sponge regulation in S. mutans, indicating the characterization of lactose metabolism by a vital response regulator in cariogenicity. These findings have a number of implications and have reshaped our understanding of bacterial gene regulation from its transcriptional conception to the key roles of regulatory RNAs.

4941Machine learning based automated diagnosis of ischemic vs non-ischemic dilated cardiomyopathy using 3D myocardial deformation analysis

Background

Late Gadolinium Enhancement (LGE) imaging is a reference standard technique for the differentiation of ischemic cardiomyopathy (ICM) from non-ischemic dilated cardiomyopathy (NIDCM) in patients with heart failure and reduced ejection fraction (HFrEF). 3D myocardial deformation analysis (3D-MDA) offers highly reproducible phenotypic assessments of regional architecture and function that may provide value for artificial-intelligence-assisted cardiomyopathy diagnosis without need for LGE imaging.

Purpose

In this study, we trained and validated a machine-learning-based model to enable automated diagnosis of ischemic versus non-ischemic dilated cardiomyopathy exclusively using regional patterns of deformation among patients otherwise matched by age, sex and global contractile dysfunction.

Methods

100 ICM and 100 NIDCM patients matched for age, sex, and LVEF underwent standard cine SSFP and LGE imaging. Patient diagnoses were established using a combination of clinical and LGE-based criteria. 3D-MDA was performed using validated software (GIUSEPPE) to compute regional 3D strain measures at each cardiac phase in both conventional and principal strain directions. Principal Component Analysis (PCA) was performed on the composite 3D-MDA dataset. The first 20 components were chosen, accounting for approximately 65% of the population variance. Subsequently, a support-vector-machine-based algorithm was used with 10-fold cross-validation to discriminate ICM from NIDCM.

Results

Patients were 63±10 years (ICM: 63±10 years, NIDCM: 63±10 years, p=0.955), 74% male (ICM: 74%, NIDCM: 74%, p=1.000), and had a mean LVEF of 27±8% (ICM: 27±7%, NIDCM: 28±7%, p=0.688). Global time to peak strain was significantly shorter in ICM patients relative to NIDCM patients across all surfaces and in all directions (p<0.05). The highest single-variable Area Under the Curve (AUC) achieved for the classification of ICM versus NIDCM from global data was for minimum principal strain (ICM: 43.7±7.8, NIDCM: 48.3±7.5, p<0.001, AUC: 0.682) (Figure 1). However, a multi-feature machine-learning-based model exposed to all available regional 3D deformation data achieved an AUC of 0.903 (sensitivity 87.7%, specificity 75.5%).

Conclusions

Machine learning-based analyses of3D regionaldeformation patterns allows for robust discrimination of ICM versus NIDCM. Further expansion of the presented findings is planned on a wider, multi-centre cohort.

Acknowledgement/Funding

Dr. White was supported by an award from Heart and Stroke Foundation of Alberta. This study was funded in part by Calgary Health Trust.

Mechanisms by Which Small RNAs Affect Bacterial Activity

The oral cavity contains a distinct habitat that supports diverse bacterial flora. Recent observations have provided additional evidence that sRNAs are key regulators of bacterial physiology and pathogenesis. These sRNAs have been divided into 5 functional groups: cis-encoded RNAs, trans-encoded RNAs, RNA regulators of protein activity, bacterial CRISPR (clustered regularly interspaced short palindromic repeat) RNAs, and a novel category of miRNA-size small RNAs (msRNAs). In this review, we discuss a critical group of key commensal and opportunistic oral pathogens. In general, supragingival bacterial sRNAs function synergistically to fine-tune the regulation of cellular processes and stress responses in adaptation to environmental changes. Particularly in the cariogenic bacteria Streptococcus mutans, both the antisense vicR RNA and msRNA1657 can impede the metabolism of bacterial exopolysaccharides, prevent biofilm formation, and suppress its cariogenicity. In Enterococcus faecalis, selected sRNAs control the expression of proteins involved in diverse cellular processes and stress responses. In subgingival plaques, sRNAs from periodontal pathogens can function as novel bacterial signaling molecules that mediate bacterial-human interactions in periodontal homeostasis. In Porphyromonas gingivalis, the expression profiles of putative sRNA101 and sRNA42 were found to respond to hemin availability after hemin starvation. Regarding Aggregatibacter actinomycetemcomitans (previously Actinobacillus actinomycetemcomitans), a major periodontal pathogen associated with aggressive periodontitis, the predicted sRNAs interact with several virulence genes, including those encoding leukotoxin and cytolethal distending toxin. Furthermore, in clinical isolates, these associated RNAs could be explored not only as potential biomarkers for oral disease monitoring but also as alternative types of regulators for drug design. Thus, this emerging subspecialty of bacterial regulatory RNAs could reshape our understanding of bacterial gene regulation from their key roles of endogenous regulatory RNAs to their activities in pathologic processes.

Chewing lice from high-altitude and migrating birds in Yunnan, China, with descriptions of two new species of Guimaraesiella

In total, 366 birds representing 55 species in 24 families and eight orders, were examined for chewing lice (Phthiraptera: Amblycera, Ischnocera) in two high-altitude localities in Yunnan Province, China. In Ailaoshan, almost all of the birds examined were resident passeriforms, of which 36% were parasitized by chewing lice. In Jinshanyakou, most birds were on migration, and included both passerine and non-passerine birds. Of the passerine birds caught in Jinshanyakou, only one bird (0.7%) was parasitized by chewing lice. The prevalence of Myrsidea and Brueelia-complex lice on birds caught in Ailaoshan was higher than in previous reports. Of the chewing lice identifiable to species level, three represent new records for China: Actornithophilus hoplopteri (Mjöberg, 1910), Maculinirmus ljosalfar Gustafsson & Bush, 2017 and Quadraceps sinensis Timmermann, 1954. In total, 17 new host records are included, of which we describe two as new species in the Brueelia-complex: Guimaraesiella (Cicchinella) ailaoshanensis sp. nov. ex Schoeniparus dubius dubius (Hume, 1874) and G. (C.) montisodalis sp. nov. ex Fulvetta manipurensis tonkinensis Delacour & Jabouille, 1930. This published work has been registered in ZooBank, http://zoobank.org/urn:lsid:zoobank.org:pub:9FC3D8EE-2CED-4DBE-A1DB-471B71260D27.

Comparative studies of mucosal humoral and cellular immune responses to 2009 pandemic H1N1 influenza virus in mice

The nasal-associated lymphoid tissues (NALTs), embedded in the submucosa of murine upper respiratory tract, represents an important site of induction for local mucosal immune responses to airborne pathogens and intranasal vaccines. Here, we systematically investigated the mucosal humoral and cellular immune responses of NALTs in mice infected with A/Beijing/501/2009 (BJ501) and A/Puerto Rico/8/1934 (PR8) viruses. Compared with PR8 infection, BJ501 induced a more rapid increase of virus-specific IgA and IgG antibodies in the nasal lavage fluid and a higher ratio of IgG1/IgG2a, indicating a stronger Th2 response to BJ501 in mucosal immunity. In addition, using virus-specific enzyme-linked immunospot assay (ELISpot assay), we observed higher and earlier responses of virus-specific IgA and IgG antibody-secreting cells (ASCs) and IFN-γ and IL-4 cytokine-secreting cells (CSCs) in NALTs of mice intranasally infected with BJ501 virus. In particular, the frequency of BJ501-specific IFN-γ-CSCs significantly correlated with the kinetics of BJ501 virus load in NALTs, suggesting an important role of IFN-γ-CSCs-associated mucosal cellular immune responses in BJ501 virus clearance. Collectively, BJ501 induced a more comprehensive and rapid mucosal immune responses in NALTs of mice, providing further understanding of the immune responses elicited by 2009 pandemic H1N1 virus in upper respiratory tract. Keywords: nasal-associated lymphoid tissues (NALTs); influenza virus; mucosal immune response; Th1/Th2 response.

Genetic polymorphisms in IL1B predict susceptibility to steroid-induced osteonecrosis of the femoral head in Chinese Han population

The purpose of this research was to examine if the IL1B gene polymorphism has impact on the risk of steroid-induced ONFH in Chinese population. We found that IL1B rs1143630 decreased the SANFH's risk and IL1B rs2853550 increased the risk of steroid-induced ONFH. So, we guess that IL1B gene influences the genetic susceptibility of steroid-induced ONFH.

INTRODUCTION

Genetic polymorphisms in IL1B gene could be related in the pathogenesis of osteonecrosis. Discusses on the relationship between the IL1B gene and steroid-induced osteonecrosis of the femoral head (steroid-induced ONFH) is still less in Chinese Han population. So, in this research, we want to examine whether the IL1B gene polymorphism has impact on the risk of steroid-induced ONFH in Chinese population.

METHODS

A total of 286 steroid-induced ONFH patients and 441 controls were recruited, and seven SNPs (rs2853550, rs1143643, rs3136558, rs1143630, rs1143627, rs16944, and rs1143623) in IL1B gene were selected; unconditional logistic regression analysis was used to research the influence on the risk of steroid-induced ONFH. Functional annotations of IL1B variants were performed by RegulomeDB and HaploReg.

RESULTS

rs1143630 (A>C) in the IL1B gene decreased the risk of steroid-induced ONFH in the allele model (OR = 0.69, 95%CI 0.51-0.93, p = 0.014). Further genetic model analyses found that IL1B rs2853550 AG genotype increased the risk of steroid-induced ONFH compared with the people who are carriers of the IL1B rs2853550 GG genotype (OR = 1.69, 95%CI 1.16-2.46, p = 0.012). In the dominant model, IL1B rs1143630 GG-GT genotype decreased the risk of steroid-induced ONFH (OR = 0.62, 95%CI 0.44-0.87, p = 0.0051). And further haplotype analysis was performed, while the result was not significant. Using RegulomeDB and HaploReg, rs2853550 is likely to affect TF binding, any motif and DNase peak.

CONCLUSIONS

We guess that IL1B gene influences the genetic susceptibility of steroid-induced ONFH.

Curcumin attenuates palmitic acid-induced cell apoptosis by inhibiting endoplasmic reticulum stress in H9C2 cardiomyocytes

Diabetic cardiomyopathy is mediated by multiple molecular mechanisms including endoplasmic reticulum (ER) stress. Curcumin, a phenolic compound, has cytoprotective properties, but its potential protective action against diabetic cardiomyopathy and the related molecular mechanisms are not fully elucidated. In this study, we evaluated the effects of curcumin on cell viability and apoptosis in palmitic acid (PA)-treated H9C2 cardiomyocytes and investigated the signaling pathways involved. Treatment with PA reduced cell viability, induced apoptosis, enhanced apoptosis-related protein expression (Caspase 3 and BCL-2 associated X protein (BAX)), and activated ER stress marker protein expression (glucose-regulated protein 78 (GRP78) and CCAAT/enhancer binding protein homologous protein (CHOP)). Curcumin attenuated PA-induced reduction in cell viability and activation of apoptosis, Caspase 3 activity, BAX, CHOP, and GRP78 expression. 4-Phenylbutyric acid (4-PBA) attenuated the PA-induced effects on cell viability and apoptosis, similar to curcumin. Both curcumin and 4-PBA also attenuated PA-induced increase in ER stress protein (CHOP and GRP78) expression. Curcumin also protected against cytotoxicity, apoptosis, and ER stress induced by thapsigargin. These findings indicate that PA triggers apoptosis in H9C2 cells via ER stress pathways and curcumin protects against this phenomenon.