Article
Psychiatry
Xiaoxiao Liao, Shunkai Lai, Shuming Zhong, Ying Wang, Yiliang Zhang, Shiyi Shen, Hui Huang, Guanmao Chen, Feng Chen, Yanbin Jia
Summary: The study found that the interaction between altered serum copper levels and neurometabolic disruptions may impact executive function deficits in unmedicated MDD patients.
FRONTIERS IN PSYCHIATRY
(2021)
Article
Health Care Sciences & Services
Julia Samoilova, Mariia Matveeva, Olga Tonkih, Dmitry Kudlau, Oxana Oleynik, Aleksandr Kanev
Summary: The study explored metabolic changes in the hippocampus of patients with type 1 and type 2 diabetes, finding different factors influencing the changes. Modifying specific risk factors can slow down the progression of cognitive dysfunction in diabetes patients.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Review
Endocrinology & Metabolism
Yanzhong Liu, Dan Wang, Yi-Ping Liu
Summary: Type 2 diabetes mellitus (T2DM) is a major global health issue that involves changes and interactions in various metabolic pathways. Metabolites play a crucial role in the pathogenesis of T2DM and have the potential to be biomarkers. Anti-hyperglycemic drugs can affect the metabolic profiles in the blood.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Chemistry, Analytical
Weiyi Pang, Yu Xing, Camilo L. M. Morais, Qiufeng Lao, Shengle Li, Zipeng Qiao, You Li, Maneesh N. Singh, Valerio G. Barauna, Francis L. Martin, Zhiyong Zhang
Summary: Diabetes mellitus (DM) is a metabolic disease that is of increasing global concern. The diagnosis and detection of DM and pre-diabetes are currently complicated, expensive, and time-consuming. In this study, a discriminant model was developed using attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy combined with principal component analysis linear discriminant analysis (PCA-LDA), which resulted in a high accuracy rate of 97% for diagnosing DM and pre-diabetes. This approach has significant clinical implications for intervention and risk reduction.
Article
Radiology, Nuclear Medicine & Medical Imaging
Angela Bernabeu-Sanz, Maria Fuentes-Baile, Cristina Alenda
Summary: The study found that IDH1-wt tumors are more necrotic than IDH1-mut tumors, and that the infiltrative pattern in HGG is associated with loss of p53 expression, Ki-67 index, and Glx levels. Additionally, tumor choline levels could be used as a predictive factor in survival, in addition to IDH1 status, to provide a more accurate prediction of survival in HGG patients.
EUROPEAN RADIOLOGY
(2021)
Article
Microbiology
Yujiao Li, Fei Qian, Xiaogang Cheng, Dan Wang, Yirong Wang, Yating Pan, Liyuan Chen, Wei Wang, Yu Tian
Summary: The incidence of oral diseases in type 2 diabetic patients might increase, and the severity might also be more serious. The relationship between oral microorganisms and type 2 diabetes mellitus (T2DM) has become a hot topic in systemic health research. Our study first described the changes in the composition of oral microorganisms and their metabolites in T2DM who have not suffered any oral diseases and revealed the correlation between oral microorganisms and their metabolites, which will provide a direct basis for finding oral biomarkers for early warning of oral diseases in patients with T2DM.
MICROBIOLOGY SPECTRUM
(2023)
Article
Public, Environmental & Occupational Health
Karen E. Lamb, David Crawford, Lukar E. Thornton, Sheikh M. Shariful Islam, Ralph Maddison, Kylie Ball
Summary: The study found that there is a positive association between years of education and diabetes diagnosis in Ghana and India, with higher education levels correlating with higher rates of diabetes diagnosis. In India, higher education levels were also associated with increased leisure physical activity, fruit and vegetable consumption, adherence to special diets or insulin injections, but also with higher BMI, waist, and hip circumference.
Article
Endocrinology & Metabolism
Yue Sun, Ya-Ke Lu, Hao-Yu Gao, Yu-Xiang Yan
Summary: The study conducted two-sample mendelian randomization to assess the causal associations of plasma levels of metabolites with T2DM and glycemic traits, finding that arachidonic acid (AA) and 2-hydroxybutyric acid (2-HBA) may have causal associations on T2DM and glycemic traits.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2021)
Article
Pediatrics
Hajnalka Barta, Agnes Jermendy, Livia Kovacs, Noemie Schiever, Gabor Rudas, Miklos Szabo
Summary: In newborns with hypoxic-ischemic encephalopathy, NAA/Cr and mI/NAA ratios provide accurate outcome prediction between postnatal days 0-14, with the highest predictive power between days 7-14. Gestational age does not affect metabolite ratios, which show the strongest association with neurological outcome. However, gestational age is associated with metabolite levels in newborns with good outcomes.
PEDIATRIC RESEARCH
(2022)
Article
Endocrinology & Metabolism
Vidhu V. Thaker, Lydia Coulter Kwee, Haiying Chen, Judy Bahnson, Olga Ilkayeva, Michael J. Muehlbauer, Bruce Wolfe, Jonathan Q. Purnell, Xavier Pi-Sunyer, Christopher B. Newgard, Svati H. Shah, Blandine Laferrere
Summary: This observational study found that metabolomic changes in individuals with type 2 diabetes after weight loss are associated with improved health, particularly the association between branched-chain amino acids (BCAAs) and HbA1c change.
Review
Radiology, Nuclear Medicine & Medical Imaging
Athina C. Tsili, Loukas Astrakas, Nikolaos Sofikitis, Maria I. Argyropoulou
Summary: Proton magnetic resonance spectroscopy provides information on testicular metabolism and pathological changes. It has been used in conjunction with scrotal MRI to gain insights into the biochemical environment of normal and abnormal testes.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Endocrinology & Metabolism
Zsu-Zsu Chen, Julian Avila Pacheco, Yan Gao, Shuliang Deng, Bennet Peterson, Xu Shi, Shuning Zheng, Usman A. Tahir, Daniel H. Katz, Daniel E. Cruz, Debby Ngo, Mark D. Benson, Jeremy M. Robbins, Xiuqing Guo, Magdalena del Rocio Sevilla Gonzalez, Alisa Manning, Adolfo Correa, James B. Meigs, Kent D. Taylor, Stephen S. Rich, Mark O. Goodarzi, Jerome I. Rotter, James G. Wilson, Clary B. Clish, Robert E. Gerszten
Summary: This study utilized non-targeted metabolomics methods to investigate a cohort of underrepresented African Americans and identified several known and unknown metabolites associated with diabetes. The inclusion of these metabolites along with clinical risk factors improved diabetes prediction modeling, highlighting the importance of using non-targeted metabolomics methods in ethnically diverse populations for understanding diabetes development.
Article
Biophysics
James J. Prisciandaro, Helge J. Zollner, Saipavitra Murali-Manohar, Georg Oeltzschner, Richard A. E. Edden
Summary: The study found moderate correlations among brain metabolite levels and suggested that more than half of the total variability in metabolite levels can be explained by a single common factor. Older age was associated with lower levels of the common metabolite variance factor, while females had lower levels of total choline. Supplementary analysis showed lower intercorrelations among metabolites when using water-referenced estimates. These findings suggest that researchers should consider using multivariable associations instead of examining individual metabolites in studies.
NMR IN BIOMEDICINE
(2023)
Article
Clinical Neurology
D. Malaspina, E. Lotan, H. Rusinek, S. A. Perez, J. Walsh-Messinger, T. M. Kranz, O. Gonen
Summary: Metabolic variability in patients with schizophrenia, as reflected in hippocampal NAA and Cho levels, may be associated with symptom severity and different pathophysiological processes, particularly demyelination. Elevated Cho levels predict the severity of positive symptoms, while lower NAA levels may be related to negative symptoms. The findings suggest that these metabolic variations could serve as markers for precision medicine in the selection and monitoring of schizophrenia treatment.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2021)
Review
Endocrinology & Metabolism
Carol Chiung-Hui Peng, Yu-Kang Tu, Gin Yi Lee, Rachel Huai-En Chang, Yuting Huang, Khulood Bukhari, Yao-Chou Tsai, Yunting Fu, Huei-Kai Huang, Kashif M. Munir
Summary: Proton pump inhibitors (PPI) therapy can improve glycemic control among individuals with diabetes, but it does not decrease the risk of incident diabetes.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2021)