The number of individuals suffering from fatty liver is increasing worldwide, leading to interest in the noninvasive study of liver fat. Magnetic resonance spectroscopy (MRS) is a powerful tool that allows direct quantification of metabolites in tissue or areas of interest. MRS has been applied in both research and clinical studies to assess liver fat noninvasively in vivo. MRS has also demonstrated excellent performance in liver fat assessment with high sensitivity and specificity compared to biopsy and other imaging modalities. Because of these qualities, MRS has been generally accepted as the reference standard for the noninvasive measurement of liver steatosis. MRS is an evolving technique with high potential as a diagnostic tool in the clinical setting. This review aims to provide a brief overview of the MRS principle for liver fat assessment and its application, and to summarize the current state of MRS study in comparison to other techniques.

Young adulthood is increasingly considered as a vulnerable age group for significant weight gain, and it is apparent that there is an increasing number of new cases of metabolic syndrome developing among this population. This study included 60 young adult volunteers (18–26 years old). All participants obtained a calculated total abdominal fat percentage, subcutaneous fat percentage, and visceral fat percentage using a semiautomatic segmentation technique from T1-weighted magnetic resonance imaging (MRI) images of the abdomen. The results show strongest correlation between abdominal fat and BMI (r = 0.824) followed by subcutaneous fat (r = 0.768), and visceral fat (r = 0.633) respectively, (p < 0.001 for all, after having been adjusted for age and gender). Among anthropometric measurements, waist circumference showed strong correlation with all fat compartments (r = 0.737 for abdominal, r = 0.707 for subcutaneous fat, and r = 0.512 for visceral fat; p < 0.001 for all). The results obtained from examining the blood revealed that there was a moderate positive correlation relationship between all fat compartments with triglyceride, high-density lipoprotein, and fasting glucose levels (p < 0.05 for all). This study suggests that both BMI and waist circumference could be used to assess the fat compartments and treatment targets to reduce the risk of metabolic disorders and health risks in the young adult population.

(1) Since the obesity prevalence rate has been consistently increasing, it is necessary to find an effective way to prevent and treat it. Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (¹H NMR). ¹H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, p < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, p < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (p < 0.05) in the obese with hyperlipidemia. Therefore, they can be used as biomarkers to identify these two types of obesity.

• 4-HBA and VA could interact with HSA. • 4-HBA and VA decreased K562 and K562/Dox cells viability. • These current studies could provide useful information about the nature of 4-HBA or VA binding to HSA.

Leukemia is a common malignancy affecting humans worldwide. Pirarubicin (Pira) is one of the anticancer agents used for the treatment of leukemia. Although Pira is effective, drug resistance may develop in cancer cells exposed to this drug, whereas the combination of natural products with Pira may help to overcome this problem. The aim of the present study was to focus on the effect of gallic acid (GA) on the anticancer activity of Pira in K562 leukemia cells and K562/doxorubicin (Dox)‑resistant leukemia cells in order to investigate the possible underlying mechanisms. The cell viability, mitochondrial activity, mitochondrial membrane potential (ΔΨm) and ATP levels were assessed in living K562 and K562/Dox cancer cells following treatment with GA/Pira combination, GA alone or Pira alone. P‑glycoprotein‑mediated efflux of Pira was determined in GA‑treated K562/Dox cancer cells. The results demonstrated that GA/Pira combination decreased cell viability, mitochondrial activity, ΔΨm and ATP levels in K562 and K562/Dox cancer cells in a GA concentration‑dependent manner compared with non‑treated or Pira‑treated cells. GA inhibited P‑glycoprotein‑mediated efflux of Pira in GA‑treated K562/Dox cancer cells. Therefore, GA enhanced the anticancer effect of Pira on K562 and K562/Dox cancer cells through cellular energy status impairment, and was able to reverse drug resistance in living K562/Dox cancer cells by inhibiting the function of P‑glycoprotein.