RRM2B

Purine metabolism plays a pivotal role in numerous biological processes with potential implications for brain function and emotional regulation. This study utilizes gene-edited probiotics and pseudo-germ-free mice to unravel this intricate interplay. Transcriptomic analysis identified a ribonucleoside-diphosphate reductase β chain (nrdB) as a pivotal gene in purine metabolism within Bifidobacterium breve CCFM1025. Comparative evaluation between the wild-type and nrdB mutant strains revealed CCFM1025's effective reduction of xanthine and xanthosine levels in the serum and brain of stressed mice. Concomitantly, it downregulated the expression of the adenosine receptor gene (Adora2b) and inhibited the overactivation of microglia. These findings emphasize the potential of psychobiotics in modulating emotional responses by regulating purine metabolites and adenosine receptors. This study sheds light on novel pathways that influence emotional well-being through gut microbiota interactions and purine metabolic processes.

In China, ~1,072,100 small for gestational age (SGA) births occur annually. These SGA newborns are a high-risk population of developmental delay. Our study aimed to evaluate the genetic profile of SGA newborns in the newborn intensive care unit (NICU) and establish a prognosis prediction model by combining clinical and genetic factors.

A cohort of 723 SGA and 1317 appropriate for gestational age (AGA) newborns were recruited between June 2018 and June 2020. Clinical exome sequencing was performed for each newborn. The gene-based rare-variant collapsing analyses and the gene burden test were applied to identify the risk genes for SGA and SGA with poor prognosis. The Gradient Boosting Machine framework was used to generate two models to predict the prognosis of SGA. The performance of two models were validated with an independent cohort of 115 SGA newborns without genetic diagnosis from July 2020 to April 2022. All newborns in this study were recruited through the China Neonatal Genomes Project (CNGP) and were hospitalized in NICU, Children's Hospital of Fudan University, Shanghai, China.

Among the 723 SGA newborns, 88(12.2%) received genetic diagnosis, including 42(47.7%) with monogenic diseases and 46(52.3%) with chromosomal abnormalities. SGA with genetic diagnosis showed higher rates in severe SGA(54.5% vs. 41.9%, P=0.0025) than SGA without genetic diagnosis. SGA with chromosomal abnormalities showed higher incidences of physical and neurodevelopmental delay compared to those with monogenic diseases (45.7% vs. 19.0%, P=0.012). We filtered out 3 genes (ITGB4, TXNRD2, RRM2B) as potential causative genes for SGA and 1 gene (ADIPOQ) as potential causative gene for SGA with poor prognosis. The model integrating clinical and genetic factors demonstrated a higher area under the receiver operating characteristic curve (AUC) over the model based solely on clinical factors in both the SGA-model generation dataset (AUC=0.9[95% confidence interval 0.84-0.96] vs. AUC=0.74 [0.64-0.84]; P=0.00196) and the independent SGA-validation dataset (AUC=0.76 [0.6-0.93] vs. AUC=0.53[0.29-0.76]; P=0.0117).

SGA newborns in NICU presented with roughly equal proportions of monogenic and chromosomal abnormalities. Chromosomal disorders were associated with poorer prognosis. The rare-variant collapsing analyses studies have the ability to identify potential causative factors associated with growth and development. The SGA prognosis prediction model integrating genetic and clinical factors outperformed that relying solely on clinical factors. The application of genetic sequencing in hospitalized SGA newborns may improve early genetic diagnosis and prognosis prediction.

As a human carcinogen, radon and its progeny are the second most important risk factor for lung cancer after smoking. The tumor suppressor gene, p53, is reported to play an important role in the maintenance of mitochondrial function. In this work, we investigated the association between p53 and p53-responsive signaling pathways and radon-induced carcinogenesis.

After repeated radon exposure, the malignant characteristics, cell cycle arrest, cell apoptotic rate, adenosine triphosphate (ATP) content, reactive oxygen species (ROS) level, mitochondrial DNA (mtDNA) copy number as well as indicative biomarkers involved in mitochondrial energy metabolism were evaluated in BEAS-2B cells or BALB-c mouse lung tissue.

Radon exposure induced epithelial-mesenchymal transition (EMT)-like transformation in BEAS-2B cells, as indicated by increased cell proliferation and migration. Additional mitochondrial alterations, including decreased ATP content, increased ROS levels, mtDNA copy numbers, cell apoptosis, and G2/M cell cycle arrest were observed. Radon exposure caused an energy generation shift from aerobic respiration to glycolysis as reflected by increased expression of TIGAR and p53R2 proteins and decreased expression of SCO2 protein in BEAS-2B cells, and increased expression of p53, SCO2 and TIGAR proteins in mouse lung tissue, respectively. The effects of p53 deficiency on the prevention of mitochondrial dysfunction suggested a protective role of p53 in radon-induced malignant-like features in BEAS-2B cells.

Repeated radon exposure induced EMT-like transformation in BEAS-2B cells via disruption of mitochondrial function. Activation of p53 and p53-responsive signaling pathways in BEAS-2B cells and BALB-c mice may confer a protective mechanism for radon-induced lung injury.