Effect of Manual Lymphatic Drainage on the Concentrations of Selected Adipokines, Cytokines, C-Reactive Protein and Parameters of Carbohydrate and Lipid Metabolism in Patients with Abnormal Body Mass Index: Focus on Markers of Obesity and Insulin Resistance.

The aim of the study was to assess the impact of manual lymphatic drainage (MLD) on the parameters of carbohydrate metabolism, lipid metabolism and the level of selected adipokines and cytokines in people with abnormal body mass index (BMI). In addition, an attempt was made to assess the optimal cut-off values of serum concentrations of the biochemical parameters studied in identifying the risk of obesity and insulin resistance (IR). The study included 60 subjects who underwent 10 and 30 min long MLD sessions three times a week. The study group included 15 patients with a normal body mass index (group I; n = 15), overweight patients (group II; n = 15) and obese patients (group III; n = 10). The control group was IV; n = 20 subjects not undergoing MLD. Biochemical tests were carried out on all subjects at stage 0' (before MLD therapy) and at stage 1' (one month after MLD therapy). In the control group, the time between the sample collection at stage 0' and stage 1' was the same as in the study group. Our results showed that 10 MLD sessions may have a positive effect on the selected biochemical parameters, including insulin, 2h-PG, leptin and HOMA-IR values in normal weight and overweight patients. In addition, in the study group, the highest AUCROC values in identifying the risk of obesity were found for leptin (AUCROC = 82.79%; cut-off = 17.7 ng/mL; p = 0.00004), insulin (AUCROC = 81.51%; cut-off = 9.5 µIU/mL; p = 0.00009) and C-peptide (AUCROC = 80.68%; cut-off = 2.3 ng/mL; p = 0.0001) concentrations as well as for HOMA-IR values (AUCROC = 79.97%; cut-off = 1.8; p = 0.0002). When considering the risk of IR, we observed the highest diagnostic value for insulin (AUCROC = 93.05%; cut-off = 1.8 ng/mL; p = 0.053), which was followed by C-peptide (AUCROC = 89.35%; cut-off = 17.7 ng/mL; p = 0.000001), leptin (AUCROC = 79.76%; cut-off = 17.6 ng/mL; p = 0.0002) and total cholesterol (AUCROC = 77.31%; cut-off = 198 mg/dL; p = 0.0008). Our results indicate that MLD may have a positive effect on selected biochemical parameters, including insulin, 2h-PG, leptin and HOMA-IR, in normal weight and overweight patients. In addition, we successfully established optimal cut-off values for leptin in the assessment of obesity and insulin in the assessment of insulin resistance in patients with abnormal body mass index. Based on our findings, we hypothesize that MLD, when combined with caloric restriction and physical activity, may serve as an effective preventive intervention against the development of obesity and insulin resistance.

Pathological cut-offs of global and regional brain volume loss in multiple sclerosis.

BACKGROUND: Volumetric MRI surrogate markers of disease progression are lacking. OBJECTIVE: To establish cut-off values of brain volume loss able to discriminate between healthy controls and MS patients. METHODS: In total, 386 patients after first demyelinating event suggestive of MS (CIS), 964 relapsing-remitting MS (RRMS) patients, 63 secondary-progressive MS (SPMS) patients and 58 healthy controls were included in this longitudinal study. A total of 11,438 MRI scans performed on the same MRI scanner with the same protocol were analysed. Annualised percentage changes of whole brain, grey matter, thalamus and corpus callosum volumes were estimated. We investigated cut-offs able to discriminate between healthy controls and MS patients. RESULTS: At a predefined specificity of 90%, the annualised percentage change cut-off of corpus callosum volume (-0.57%) was able to distinguish between healthy controls and patients with the highest sensitivity (51% in CIS, 48% in RRMS and 42% in SPMS patients). Lower sensitivities (22%-49%) were found for cut-offs of whole brain, grey matter and thalamic volume loss. Among CIS and RRMS patients, cut-offs were associated with greater accumulation of disability. CONCLUSION: We identified cut-offs of annualised global and regional brain volume loss rates able to discriminate between healthy controls and MS patients.

Minimum inhibitory concentration distributions for Mycobacterium avium complex-towards evidence-based susceptibility breakpoints.

BACKGROUND: Patients with clinical infections caused by the Mycobacterium avium complex (MAC) are treated for at least 1 year following sputum conversion with a regimen that suffers from a suboptimal cure rate. The correlation between clinical outcome and drug susceptibility testing breakpoints other than for the macrolides is regarded to be poor. A systematic evaluation of clinical breakpoints for MAC has not been performed so far; thus, the aim of this study was to initiate the process by establishing minimum inhibitory concentration (MIC) distributions. METHODS: The MICs of the major drugs used in the treatment of MAC infections were determined for 229 clinical MAC isolates in cation-adjusted Mueller-Hinton II broth. RESULTS: The MIC50 and MIC ranges were established and compared to suggested susceptibility breakpoints for clarithromycin (2; 0.064-128mg/l), rifabutin (0.25; ≤0.25-16mg/l), ethambutol (8; 0.5-32mg/l), amikacin (16; 1-128mg/l), moxifloxacin (2; 0.25-16mg/l), linezolid (32; 1-128mg/l), rifampicin (8; 0.125-16mg/l), and trimethoprim-sulfamethoxazole (2/38; 0.125/2-16/304mg/l). CONCLUSIONS: These results, together with those from available studies, indicate that MICs are high for drugs such as rifabutin, rifampicin, ethambutol, linezolid, and moxifloxacin used against MAC at levels unlikely to be associated with clinical efficacy at current dosing. This may partly explain the poor correlation between susceptibility testing and clinical outcomes for drugs other than clarithromycin.

Voriconazole minimum inhibitory concentrations are predictive of treatment outcome in experimental murine infections by Candida glabrata.

In this study, 27 clinical isolates of Candida glabrata with voriconazole (VRC) minimum inhibitory concentrations (MICs) ranging from ≤0.03 µg/mL to 8 µg/mL were tested to determine whether in vitro data are predictive of in vivo efficacy. The efficacy of VRC administered at 40 mg/kg was assayed in a neutropenic murine model of disseminated infection by C. glabrata. The reduction in fungal tissue burden in the kidneys was used as a marker of treatment efficacy. VRC reduced the fungal tissue burden in mice infected with strains that had MICs below the epidemiological cut-off value (ECV) of 0.25 µg/mL. Variable efficacy of VRC was obtained when the MIC equalled the ECV, and VRC was ineffective when the MIC exceeded the ECV. These results suggest that the use of in vitro data could be useful to predict the outcome for infections by this fungus.