Calorimetric monitoring of the serum proteome in schizophrenia patients

Krumova, Sashka; Rukova, Blaga; Todinova, Svetla; Gartcheva, Lidia; Milanova, Mariofanna; Toncheva, Draga; Taneva, Stefka G.

doi:10.1016/j.tca.2013.09.015

Cited by 22 publications

(16 citation statements)

References 32 publications

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“…The thermal profiles of heat capacity changes for aqueous solutions of human blood serum from athletes have been described and discussed in details earlier [37]. Comparing DSC curves of athletes serum diluted with distilled water (pH 6.5-7.0) with curves reported for serum/plasma of healthy persons where the final pH of solutions was in the range 7.2-7.5 [25][26][27][29][30][31][32][33][34][35][36], distinct differences are visible. The main origin of these differences is probably the thermal denaturation profile of fatty acid-free fraction of albumin.…”

Section: Resultsmentioning

confidence: 99%

“…Differential scanning calorimetry (DSC) has recently been found useful in the support of various medical diagnoses [25][26][27][28][29][30][31][32][33][34][35][36] by analysis of plasma or serum heat capacity changes in the temperature range of protein components thermal denaturation. DSC profiles of biofluids are able to reflect their modified composition, changes in thermal stability of major proteome components resulting from covalent modifications or binding interactions involving disease biomarkers.…”

Section: Introductionmentioning

confidence: 99%

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Blood serum DSC analysis of well-trained men response to CrossFit training and green tea extract supplementation

Michnik

Sadowska-Krępa

Domaszewski

et al. 2017

J Therm Anal Calorim

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Differential scanning calorimetry (DSC) has been used for the detection of post-exercise changes in blood serum resulting from participation in the CrossFit (CF) training combined with green tea extract (GTE) supplementation. Blood samples from 20 well-trained men were collected at rest, immediately post-exercise and after 1 h of recovery in two trials: first before and second after CF training combined with GTE or placebo administration in the supplemented (S) and control (C) groups, respectively. Selected muscle damage biomarkers have been compared in different phases of the experiment. A significant increase in blood lactate content has been observed post-exercise in both trials in both participants' groups. The opposite trends have been noted for the C and S groups in creatine kinase (CK) activity changes recorded during the first to the second trial: an increase in CK for the control and a decrease for the supplemented group in all phases of the experiment: pre-exercise, post-exercise and after recovery. In the second trial, all CK values for the S group have been found significantly lower than the corresponding values recorded in the C group. These results suggest a mitigate effect of GTE supplementation on post-training muscle damage. DSC results did not reveal clear effects of training nor GTE supplementation on serum denaturation transition. However, interesting dependences of thermodynamic parameters describing this transition have been observed in different phases of the experiment. Statistically significant negative correlations have been found between post-training VO 2max and post-exercise thermodynamic parameters associated with haptoglobin contribution to serum denaturation transition.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Blood serum DSC analysis of well-trained men response to CrossFit training and green tea extract supplementation

Michnik

Sadowska-Krępa

Domaszewski

et al. 2017

J Therm Anal Calorim

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“…The first approaches of different diseases by DSC method were published a few years ago [14][15][16][17]. These important papers published that inflammatory and oncological diseases revealed significant changes in the plasma curve with a shift of the curve toward higher denaturation temperatures, whereas studies have indicated that these changes are resulted from interactions of small molecules or peptides with these proteins [24,36].…”

Section: Discussionmentioning

confidence: 99%

“…Later, differential scanning calorimetry (DSC) studies examined a number of different cancers (melanoma malignum, myeloma, colorectal cancer, cervical cancer, leukemia, etc.) and other diseases (e.g., psoriasis, schizophrenia, chronic obstructive pulmonary disease) revealed significant changes in the plasma thermogram when compared with healthy controls [16][17][18][19][20]. Moreover, examination of DSC data in different clinical stages of cancer patients should observe correlation with stages, with tumor size and the extent of regional or distant metastatic invasion [21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Influence of oxidative injury and monitoring of blood plasma by DSC on breast cancer patients

Zapf

Moezzi

Fekecs³

et al. 2015

J Therm Anal Calorim

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Damage caused by oxidative stress is involved in many types of diseases, including breast cancer. Our aim was to detect the oxidative stress parameters and blood plasma changes with differential scanning calorimetry (DSC) in breast cancer patients. The study included 40 adult breast cancer women who were grouped according to tumor diameter, regional lymph node metastases, proliferative activity, receptor status and postoperative chemotherapy. To monitor oxidative stress, malondialdehyde, oxygen free radicals (OFRs), activity of myeloperoxidase (MPO), superoxide dismutase (SOD) and catalase (CAT) were measured. Denaturation of plasma components was detected in Setaram Micro DSC-II calorimeter. The total production of OFRs, the MPO activity and lipidperoxidation were significantly increased in each breast cancer patients considering the tumor size, the metastatic lymph nodes, the proliferation activity and receptor status compared with healthy controls (p \ 0.05). These pro-oxidants were slightly elevated without chemotherapy, but their values were increased significantly in chemotherapy-receiving group. The activity of SOD and CAT was significantly decreased in all groups, and in regard to the chemotherapy, they were changed significantly parallel to the severity of disease. Regarding to both the increased tumor diameter and the increased number of affected lymph nodes, DSC measurements showed a strong relationship between the maximum excess heat capacity (C pmax ) of the blood plasma and the severity of disease. The study demonstrated that oxidative stress is implicated in breast carcinoma and chemotherapy aggravates these changes which confirmed the plasma DSC measurements also.

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“…To facilitate interpretation of DSC data of clinical samples, a number of studies [9, 10, 12, 13, 16, 17, 19, 23, 24, 26] have reported the calculation of metrics that provide a readout of specific localized features of DSC profiles (e.g. heat capacity and temperature maxima of profiles).…”

Section: Introductionmentioning

confidence: 99%

Differential scanning calorimetry as a complementary diagnostic tool for the evaluation of biological samples

Garbett

Brock

2016

Biochimica et Biophysica Acta (BBA) - General Subjects

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Background Differential scanning calorimetry (DSC) is a tool for measuring the thermal stability profiles of complex molecular interactions in biological fluids. DSC profiles (thermograms) of biofluids provide specific signatures which are being utilized as a new diagnostic approach for characterizing disease but the development of these approaches is still in its infancy. Methods This article evaluates several approaches for the analysis of thermograms which could increase the utility of DSC for clinical application. Thermograms were analyzed using localized thermogram features and principal components (PCs). The performance of these methods was evaluated alongside six models for the classification of a data set comprised of 300 systemic lupus erythematosus (SLE) patients and 300 control subjects obtained from the Lupus Family Registry and Repository (LFRR). Results Classification performance was substantially higher using the penalized algorithms relative to localized features / PCs alone. The models were grouped into two sets, the first having smoother solution vectors but lower classification accuracies than the second with seemingly noisier solution vectors. Conclusions Coupling thermogram technology with modern classification algorithms provides a powerful diagnostic approach for analysis of biological samples. The solution vectors from the models may reflect important information from the thermogram profiles for discriminating between clinical groups. General significance DSC thermograms show sensitivity to changes in the bulk plasma proteome that correlate with clinical status. To move this technology towards clinical application the development of new approaches is needed to extract discriminatory parameters from DSC profiles for the comparison and diagnostic classification of patients.

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Calorimetric monitoring of the serum proteome in schizophrenia patients

Cited by 22 publications

References 32 publications

Blood serum DSC analysis of well-trained men response to CrossFit training and green tea extract supplementation

Blood serum DSC analysis of well-trained men response to CrossFit training and green tea extract supplementation

Influence of oxidative injury and monitoring of blood plasma by DSC on breast cancer patients

Differential scanning calorimetry as a complementary diagnostic tool for the evaluation of biological samples

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