Purpose: to evaluate interaction of obesity, inflammation and myocardial dysfunction in senile myocardial infarction survivors. Material and Methods. Patients aged 70 and older were involved in the study (n=108) and divided into 2 groups according to the history of myocardial infarction (Ml) — 5 years before involvement: senile Ml survivors (n=26) vs senile patients without history of Ml (n=82). Measurements of serum levels of adipokines (leptin, adiponectin), myocardial dysfunction markers (BNP, NT proBNP, proANP, galectin 3) and inflammatory cytokines (TNF, interleukin 6) were performed. Results. Both groups were comparable by age and major clinical characteristics. Ejection fraction was preserved in both groups under the study (67 (64; 70) %vs67 (64; 68) %, p=0,655). Frequency of diastolic dysfunction was comparable in both groups. However it was more severe in Ml survivors. BNP and NT proBNP levels were significantly lower in patients without the history of Ml (p=0,021; 0,004, respectively). On the contrary serum levels of proANP had tendency to increase in patients with the history of Ml, but not significantly: p=0,821. Adiponectin and galectin-3 were significantly higher in patients with the history of Ml (p=0,019and p=0,011). Conclusion. Pathogenetic peculiarities of chronic heart failure with preserved ejection fraction in senile patients with and without myocardial infarction history were revealed. More expedient biomarker panel appropriate for senile patients with probable heart failure should include NT-proBNP, galectin-3 and adiponectin.
Malinova L.I., Podbolotov R.A., Povarova T.V., Avdienko I.V. Polybiomarker approach in myocardial dysfunction assessment in senile patients // Saratov Journal of Medical Scientific Research, Vol. 11, Issue 1, 2015, pp. 31-36

Effects of sodium dodecylbenzene sulfonate and sodium dodecyl sulfate on the Mytilus galloprovincialis biomarker system. Liu B., Z. Yu, X. Song, F. Yang - Ecotoxicology and Environmental Safety, 2009. doi:10.1016/j.ecoenv.2009.12.011 | How to Cite or Link Using DOI Crown copyright © 2009 Published by Elsevier Inc. Bo Liu a, b, Corresponding Author Contact Information, E-mail The Corresponding Author, Zhiming Yu a, Xiuxian Song a and Fei Yang b a Key Laboratory of Marine Ecology & Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China b Key Laboratory of Marine Bio-resources Sustainable Utilization in Liaoning Province’s University, Dalian Fisheries University, Dalian 116023, China Received 3 August 2009; revised 3 December 2009; accepted 6 December 2009. Available online 31 December 2009. Abstract: The effects of in vivo exposure of Mytilus galloprovincialis to two anionic surfactants (SDBS and SDS) on the molecular biomarker system were studied. After continuous exposure for 72 days, activities/levels of GST, GPx and GSH were significantly higher than in corresponding control groups following exposure to 3.000 mg/L SDS and SDBS. Activities of SOD and CAT were significantly inhibited by experimental SDBS (except CAT in 0.100 mg/L group), but not by SDS. Statistical analysis of enzyme activities/levels suggested that there were significant positive relationships between GST and GPx, and negative relationships were found between GSH and CAT, GSH and SOD. Amplified fragment length polymorphism (AFLP) results showed that a greater genotoxic effect was observed for SDBS than for SDS. Based on the above results, the biomarker system of mussels can be affected by the two anionic surfactants (≥3.000 mg/L); it was more easily affected by SDBS than by SDS. Fragment of the text: With large discharges of anionic surfactants every year, the effects of anionic surfactants on antioxidant enzymes of bivalve/fish have attracted more and more recent attention (Guilhermino et al., 2000; Ostroumov, 2003; da Silva and Meirelles, 2004; Romanelli et al., 2004; Wu et Keywords: Sodium dodecyl sulfate (SDS); Sodium dodecylbenzene sulfonate (SDBS); Mytilus galloprovincialis; Biomarker; Antioxidant enzymes; Genotoxicity; Metabolism Article Outline: 1. Introduction 2. Materials and methods 2.1. Site description 2.2. Experimental organisms and chemicals 2.3. Experimental setup 2.3.1. Exposure experiment protocol 2.3.2. Biochemical indices analysis 2.3.2.1. Supernatant preparation 2.3.2.2. Measurement of the indices 2.3.2.3. Statistical analysis 2.3.3. DNA extraction and AFLP analysis 3. Results 3.1. Biochemical responses of mussels subjected to various treatments and pearson correlation coefficients between the indices detected in M. galloprovincialis 3.2. AFLP analysis 4. Discussion 4.1. Biochemical indices analysis 4.1.1. Phase II enzymes and cofactors 4.1.2. Oxidative stress parameters 4.1.3. Immunological parameters 4.2. Genotoxic parameter 5. Conclusion Acknowledgements References Thumbnail image Fig. 1. Map of the Jiaozhou Bay with locations of sampling stations. View Within Article Thumbnail image Fig. 2. Examples of AFLP pattern obtained comparing DNA from control (2) and treated (1) SDS 3.0 or (3) SDBS 3.0, using E35-M62. View Within Article Thumbnail image Fig. 3. Dendrogram, computed with SM index, defining genetic differences due to DNA sequences, between SDS 3.0 (1), SDBS 3.0 (3) and control (2). View Within Article Table 1. Sequences of primers used for AFLP analysis. View table in article View Within Article Table 2. Biochemical response (mean with standard deviation in parenthesis) of mussels subjected to various treatments and analysis. C, control; SDS, sodium dodecyl sulfate; SDBS, sodium dodecylbenzene sulfonate. View table in article GSH is reported as nmol/mg protein; GST is reported as nmol GSH consumed/mg protein/min; GPx is reported as μmol NADPH oxidized/mg protein/min; SOD is reported as U/mg protein/min; CAT is reported as ln(A1/A2)/(t2−t1)/mg protein; AKP is reported as mg phenol/mg protein/15 min; iNOS is reported as nmol NO/mg protein/min. *p<0.05, denotes statistically significantly different from the control group. View Within Article Table 3. Pearson correlation coefficients between the indices detected in Mytilus galloprovincialis (effect of SDS-above diagonal; effect of SDBS-below diagonal). View table in article (**p<0.01, *p<0.05) View Within Article Corresponding author at: Key Laboratory of Marine Bio-resources Sustainable Utilization in Liaoning Province’s University, Dalian Fisheries University, Dalian 116023, China. ...
Effects of sodium dodecylbenzene sulfonate and sodium dodecyl sulfate on the Mytilus galloprovincialis biomarker system. Liu B., Z. Yu, X. Song, F. Yang - Ecotoxicology and Environmental Safety, 2009. doi:10.1016/j.ecoenv.2009.12.011