Thermodynamic modeling was undertaken of the interactions between gastric juice and the mineral water sampled from the Marcial water well and spring in the vicinity of the city of Apatity. The study results make it possible to determine the migration forms of elements in the natural water—gastric juice system in a low and high acidity environment and the deposition conditions of the mineral phases that can be transported from the stomach to other organs and tissues. The physicochemical parameters (Eh and pH) of the studied gastric juice model were examined under normal conditions as well as deficient and excessive HCl. Important factors affecting the change in the gastric juice parameters are temperature and the intake of different mineral water varieties containing different concentrations of the individual elements. It was shown that, in stomach disorders, the transition of iron from the solution to the solid phase occurs, which may explain the anemic condition. A successful treatment of this condition requires restoring the acid-base parameters of the system. The study results complement the existing knowledge and open up new prospects of applying thermodynamic modeling methods to biological systems. An attempt was made to apply the thermodynamic modeling method to study the processes occurring in the human stomach.
https://doi.org/10.1007/978-3-030-21614-6_46

Health risk of obesity is a heavily growing concern for societies across the globe, as it is the root cause of several lethal diseases, for which the cure is highly expensive. I tried an innovative approach with some formulations and calculations, and it has shown excellent results.The work is intended to explore the efficacy of the judiciously practiced weight loss measure for an interested obese person. The manuscript explains the concept with the formulated enhanced impact of this methodology and thus presents an exploratory logical hypothesis. It is proven to be a reliable tool to fight obesity without medication treatments.
Ashish Runthala Tolerable environmentally inverse constrained functional metabolism: Key to fight obesity // Russian Open Medical Journal, Vol. 1, Issue 3, 2012, pp. 309-0

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

The program PASS-BioTransfo is presented, which is capable of predicting many classes of biotransformation for chemical compounds. A particular class of biotransformation is defined by the chemical transformation type and may additionally include the name of the enzyme involved in a transformation. An evaluation of the approach is presented, using biotransformations taken from the databases Metabolite (MDL) and Metabolism (Accelrys), respectively. When trained with biotransformations from Metabolite, PASSBioTransfo predicts 1927 classes of biotransformation; the average accuracy estimated in LOO cross-validation is about 88%. After training with the biotransformations from the Metabolism database, 178 classes of biotransformation are predicted with an average accuracy of about 85%. The results of cross-prediction with several training and evaluation sets are presented and discussed.
Journal of Chemical Informrmation and Computer Sciences, 2003, 43 (5), 1636-1646.