scholarly journals Effects of Probiotics Administration on Human Metabolic Phenotype

Metabolites ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 396 ◽  
Author(s):  
Veronica Ghini ◽  
Leonardo Tenori ◽  
Marco Pane ◽  
Angela Amoruso ◽  
Giada Marroncini ◽  
...  
Keyword(s):  
Metabolic Phenotype ◽  
Individual Response ◽  
Metabolic Profiles ◽  
Serum Samples ◽  
Dynamic Interactions ◽  
Probiotic Treatment ◽  
Health Promoting ◽  
Human Urine And Serum ◽  
The Individual ◽  
Urine And Serum

The establishment of the beneficial interactions between the host and its microbiota is essential for the correct functioning of the organism, since microflora alterations can lead to many diseases. Probiotics improve balanced microbial communities, exerting substantial health-promoting effects. Here we monitored the molecular outcomes, obtained by gut microflora modulation through probiotic treatment, on human urine and serum metabolic profiles, with a metabolomic approach. Twenty-two subjects were enrolled in the study and administered with two different probiotic types, both singularly and in combination, for 8 weeks. Urine and serum samples were collected before and during the supplementation and were analyzed by nuclear magnetic resonance (NMR) spectroscopy and statistical analyses. After eight weeks of treatment, probiotics deeply influence the urinary metabolic profiles of the volunteers, without significantly altering their single phenotypes. Anyway, bacteria supplementation tends to reduce the differences in metabolic phenotypes among individuals. Overall, the effects are recipient-dependent, and in some individuals, robust effects are already well visible after four weeks. Modifications in metabolite levels, attributable to each type of probiotic administration, were also monitored. Metabolomic analysis of biofluids turns out to be a powerful technique to monitor the dynamic interactions between the microflora and the host, and the individual response to probiotic assumption.

Electrochemical sensors for β–adrenoceptor agonist isoprenaline analysis in human urine and serum samples using manganese cobalt oxide modified glassy carbon electrode

2021 ◽  
Author(s):  
Manjula Natesan ◽  
Shenming Chen
Keyword(s):  
Cobalt Oxide ◽  
Glassy Carbon Electrode ◽  
Glassy Carbon ◽  
Electrochemical Sensors ◽  
Carbon Electrode ◽  
Modified Glassy Carbon Electrode ◽  
Serum Samples ◽  
Adrenoceptor Agonist ◽  
Human Urine And Serum ◽  
Urine And Serum

We demonstrated the simple and more accurate electrochemical sensor for isoprenaline (ISPT) analysis in pharmaceutical substances based on manganese cobalt oxide (MnCo2O4) modified with glassy carbon electrode (MCO/GCE). The nanomaterial...

Determination of the antibacterial norfloxacin in human urine and serum samples by solid-phase spectrofluorimetry

2001 ◽  
Vol 444 (2) ◽  
pp. 279-286 ◽  
Author(s):  
J.L Vı́lchez ◽  
O Ballesteros ◽  
J Taoufiki ◽  
G Sánchez-Palencia ◽  
A Navalón
Keyword(s):  
Human Urine ◽  
Solid Phase ◽  
Serum Samples ◽  
Human Urine And Serum ◽  
Urine And Serum

scholarly journals Systemic Effects of Radiotherapy and Concurrent Chemo-Radiotherapy in Head and Neck Cancer Patients—Comparison of Serum Metabolome Profiles

Metabolites ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 60 ◽  
Author(s):  
Karol Jelonek ◽  
Aleksandra Krzywon ◽  
Patrycja Jablonska ◽  
Ewa M. Slominska ◽  
Ryszard T. Smolenski ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Cancer Patients ◽  
Neck Cancer ◽  
Treatment Modalities ◽  
Individual Response ◽  
Serum Samples ◽  
Molecular Changes ◽  
Radiotherapy Alone ◽  
The Individual

Anticancer treatment induces systemic molecular changes that could be detected at the level of biofluids. Understanding how human metabolism is influenced by these treatments is crucial to predict the individual response and adjust personalized therapies. Here, we aimed to compare profiles of metabolites in serum of head and neck cancer patients treated with concurrent chemo-radiotherapy, radiotherapy alone, or induction chemotherapy. Serum samples were analyzed by a targeted quantitative approach using combined direct flow injection and liquid chromatography coupled to tandem mass spectrometry, which allowed simultaneous quantification of 149 metabolites. There were 45 metabolites whose levels were significantly changed between pretreatment and within- or post-treatment serum samples, including 38 phospholipids. Concurrent chemo-radiotherapy induced faster and stronger effects than radiotherapy alone. On the other hand, chemotherapy alone did not result in significant changes. The decreased level of total phospholipids was the most apparent effect observed during the first step of the treatment. This corresponded to the loss of patients’ body mass, yet no correlation between both parameters was observed for individual patients. We concluded that different molecular changes were measured at the level of serum metabolome in response to different treatment modalities.

scholarly journals Subnanogram Determination of Aniracetam in Pharmaceutical Preparations and Biofluids by Flow Injection Analysis with Chemiluminescence Detection Based on Its Enhancement of the Myoglobin-Luminol Reaction

2011 ◽  
Vol 94 (5) ◽  
pp. 1461-1466
Author(s):  
Shao Xiaodong ◽  
Li Ying ◽  
Li Fagen ◽  
Liu Yangqin ◽  
Song Zhenghua
Keyword(s):  
Flow Injection ◽  
Pharmaceutical Preparations ◽  
Serum Samples ◽  
Reaction Conditions ◽  
Whole Process ◽  
Optimum Reaction ◽  
Human Urine And Serum ◽  
Flow Injection Chemiluminescence ◽  
Urine And Serum

Abstract A novel flow injection chemiluminescence method with a myoglobin-luminol system is described for determining aniracetam. Myoglobin-bound aniracetam produced a complex that catalyzed the chemiluminescence reaction between luminol and myoglobin, leading to fast chemiluminescence. The chemiluminescence intensity in the presence of aniracetam was remarkably enhanced compared with that in the absence of aniracetam. Under the optimum reaction conditions the chemiluminescence increment produced was proportional to the concentration of aniracetam in the range of 0.1–1000.0 ng/mL (R2 = 0.9992), with a detection limit of 0.03 ng/mL (3δ). At a flow rate of 2.0 mL/min, the whole process, including sampling and washing, could be completed in 0.5 min, offering a sampling efficiency of 120/h; the RSD was less than 3.0% (n = 5). The method was satisfactory for determination of aniracetam in pharmaceutical preparations and human urine and serum samples. A possible mechanism of the reaction is also discussed.

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