Biodiversity patterns are largely determined by variation of diversification rates across clades and geographic regions. Although there are multiple reasons for this variation, it has been hypothesized that metabolic rate is the crucial driver of diversification of evolutionary lineages. According to the metabolic theory of ecology (MTE), metabolic rate - and consequently speciation - is driven mainly by body size and environmental temperature. As environmental temperature affects metabolic rate in ecto- and endotherms differently, its impact on diversification rate should also differ between the two types of organisms. Employing two independent approaches, we analysed correlates of speciation rates and, ultimately, net diversification rates for two contrasting taxa: plethodontid salamanders and carnivoran mammals. Whereas in the ectothermic plethodontids speciation rates positively correlated with environmental temperature, in the endothermic carnivorans a reverse, negative correlation was detected. These findings comply with predictions of the MTE and suggest that similar geographic patterns of biodiversity across taxa (e.g. ecto- and endotherms) might have been generated by different ecological and evolutionary processes.
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http://dx.doi.org/10.1111/jeb.12019 | DOI Listing |
World J Diabetes
January 2025
Department of Endocrinology, Wuhu Second People's Hospital, Wuhu 241000, Anhui Province, China.
Background: The progression of diabetic kidney disease (DKD) affects the patient's kidney glomeruli and tubules, whose normal functioning is essential for maintaining normal calcium (Ca) and phosphorus (P) metabolism in the body. The risk of developing osteoporosis (OP) in patients with DKD increases with the aggravation of the disease, including a higher risk of fractures, which not only affects the quality of life of patients but also increases the risk of death.
Aim: To analyze the risk factors for the development of OP in patients with DKD and their correlation with Ca-P metabolic indices, fibroblast growth factor 23 (FGF23), and Klotho.
World J Diabetes
January 2025
Department of Endocrinology, Beijing Haidian Hospital, Beijing 100080, China.
Background: Treating diabetes in dialysis patients remains a challenge, with many hypoglycemic drugs requiring dose adjustments or avoidance in these patients.
Case Summary: This report describes an 83-year-old female patient with a 30-year history of type 2 diabetes (T2DM) who had struggled to control her blood sugar for more than a year. She had a history of high blood pressure for 30 years, had undergone continuous ambulatory peritoneal dialysis for more than two years, was 163 cm tall, weighed 77 kg, and had a body mass index of 28.
Diabetes Metab Syndr Obes
January 2025
Department of Ear, Nose and Throat, Beijing Hepingli Hospital, Beijing, People's Republic of China.
Objective: To evaluate the application value of STOP-Bang questionnaire (SBQ) in predicting abnormal metabolites.
Methods: Totally 121 patients were included into the study and filled the questionnaires, and their clinical data were collected at the same time. These patients were grouped according to the questionnaire scores.
World J Gastrointest Oncol
January 2025
Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest 050474, Romania.
Background: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive lethal malignancy with limited options for treatment and a 5-year survival rate of 11% in the United States. As for other types of tumors, such as colorectal cancer, aberrant lipid synthesis and reprogrammed lipid metabolism have been suggested to be associated with PDAC development and progression.
Aim: To identify the possible involvement of lipid metabolism in PDAC by analyzing in tumoral and non-tumoral tissues the expression level of the most relevant genes involved in the long-chain fatty acid (FA) import into cell.
Transl Cancer Res
December 2024
Department of Biomedical Engineering, School of Life Sciences, Guangxi Medical University, Nanning, China.
Background: The persistently high mortality and morbidity rates of hepatocellular carcinoma (HCC) remain a global concern. Notably, the disruptions in mitochondrial cholesterol metabolism (MCM) play a pivotal role in the progression and development of HCC, underscoring the significance of this metabolic pathway in the disease's etiology. The purpose of this research was to investigate genes associated with MCM and develop a model for predicting the prognostic features of patients with HCC.
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