Regioselective Fluoroalkylphosphorylation of Unactivated Alkenes by Radical-Mediated Alkoxyphosphine Rearrangement.

A novel distal radical rearrangement of alkoxyphosphine is developed for the first time and applied to the regioselective radical fluoroalkylphosphorylation of unactivated olefins. By employing a one-pot two-step reaction of (bis)homoallylic alcohols, organophosphine chlorides, and fluoroalkyl iodides under CFL (compact fluorescence light) irradiation, a series of fluoroalkylphosphorylated alkyl iodides and alcohols are easily synthesized by regiospecific installing a phosphonyl onto the inner carbon of terminal olefins and further iodination/hydroxylation. Mechanism studies reveal that the migration undergoes a distinctive radical cyclization/ß-scission on the lone electron pair of phosphorus, resulting in C-P bond formation and C-O bond cleavage.

Identification of potential biomarkers in the peripheral blood of neonates with bronchopulmonary dysplasia using WGCNA and machine learning algorithms.

Bronchopulmonary dysplasia (BPD) is often seen as a pulmonary complication of extreme preterm birth, resulting in persistent respiratory symptoms and diminished lung function. Unfortunately, current diagnostic and treatment options for this condition are insufficient. Hence, this study aimed to identify potential biomarkers in the peripheral blood of neonates affected by BPD. The Gene Expression Omnibus provided the expression dataset GSE32472 for BPD. Initially, using this database, we identified differentially expressed genes (DEGs) in GSE32472. Subsequently, we conducted gene set enrichment analysis on the DEGs and employed weighted gene co-expression network analysis (WGCNA) to screen the most relevant modules for BPD. We then mapped the DEGs to the WGCNA module genes, resulting in a gene intersection. We conducted detailed functional enrichment analyses on these overlapping genes. To identify hub genes, we used 3 machine learning algorithms, including SVM-RFE, LASSO, and Random Forest. We constructed a diagnostic nomogram model for predicting BPD based on the hub genes. Additionally, we carried out transcription factor analysis to predict the regulatory mechanisms and identify drugs associated with these biomarkers. We used differential analysis to obtain 470 DEGs and conducted WGCNA analysis to identify 1351 significant genes. The intersection of these 2 approaches yielded 273 common genes. Using machine learning algorithms, we identified CYYR1, GALNT14, and OLAH as potential biomarkers for BPD. Moreover, we predicted flunisolide, budesonide, and beclomethasone as potential anti-BPD drugs. The genes CYYR1, GALNT14, and OLAH have the potential to serve as diagnostic biomarkers for BPD. This may prove beneficial in clinical diagnosis and prevention of BPD.

Apolipoprotein A-I possesses an anti-obesity effect associated with increase of energy expenditure and up-regulation of UCP1 in brown fat.

Apolipoprotein A-I (ApoA-I) is the most abundant protein constituent of high-density lipoprotein (HDL). Reduced plasma HDL and ApoA-I levels have been found to be associated with obesity and metabolic syndrome in human beings. However, whether or not ApoA-I has a direct effect on obesity is largely unknown. Here we analysed the anti-obesity effect of ApoA-I using two mouse models, a transgenic mouse with overexpression of ApoA-I and the mice administered with an ApoA-I mimetic peptide D-4F. The mice were induced to develop obesity by feeding with high fat diet. Both ApoA-I overexpression and D-4F treatment could significantly reduce white fat mass and slightly improve insulin sensitivity in the mice. Metabolic analyses revealed that ApoA-I overexpression and D-4F treatment enhanced energy expenditure in the mice. The mRNA level of uncoupling protein (UCP)1 in brown fat tissue was elevated by ApoA-I transgenic mice. ApoA-I and D-4F treatment was able to increase UCP1 mRNA and protein levels as well as to stimulate AMP-activated protein kinase (AMPK) phosphorylation in brown adipocytes in culture. Taken together, our results reveal that ApoA-I has an anti-obesity effect in the mouse and such effect is associated with increases in energy expenditure and UCP1 expression in the brown fat tissue.

Cancer cell responses to Hsp70 inhibitor JG-98: Comparison with Hsp90 inhibitors and finding synergistic drug combinations.

Hsp70 is a promising anti-cancer target. Our JG-98 series of Hsp70 inhibitors show anti-cancer activities affecting both cancer cells and tumor-associated macrophages. They disrupt Hsp70 interaction with a co-chaperone Bag3 and affect signaling pathways important for cancer development. Due to a prior report that depletion of Hsp70 causes similar responses as depletion of Hsp90, interest to Hsp70 inhibitors as drug prototypes is hampered by potential similarity of their effects to effects of Hsp90 inhibitors. Here, using the Connectivity Map platform we demonstrate that physiological effects of JG-98 are dissimilar from effects of Hsp90 inhibitors, thus justifying development of these compounds. Using gene expression and ActivSignal IPAD platform, we identified pathways modulated by JG-98. Some of these pathways were affected by JG-98 in Bag3-dependent (e.g. ERK) and some in Bag3-independent manner (e.g. Akt or c-myc), indicating multiple effects of Hsp70 inhibition. Further, we identified genes that modulate cellular responses to JG-98, developed approaches to predict potent combinations of JG-98 with known drugs, and demonstrated that inhibitors of proteasome, RNApol, Akt and RTK synergize with JG-98. Overall, here we established unique effects of novel Hsp70 inhibitors on cancer cell physiology, and predicted potential drug combinations for pre-clinical development.

Author Correction: Cancer cell responses to Hsp70 inhibitor JG-98: Comparison with Hsp90 inhibitors and finding synergistic drug combinations.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

MicroRNAs in DNA Damage Response, Carcinogenesis, and Chemoresistance.

In the classical model of tumorigenesis, cancer develops via slowly accumulating mutations that facilitate uncontrolled cell growth and allow cells to escape apoptosis. Oncogenes and tumor suppressor genes regulate the key signaling pathways involved in tumorigenesis and cancer progression. Moreover, studies indicate that MicroRNAs (MiRNAs) are also key parts of these processes. MiRNAs are short, noncoding RNAs that regulate the expression of target genes at the posttranscriptional level. By regulating the expression of numerous cytokines, MiRNAs play crucial roles in cell growth, apoptosis, and stemness maintenance. Abundant evidence demonstrates that MiRNAs can function as both oncogenes and tumor suppressors in accommodating the proliferation and invasion of cancer cells in solid tumors. Targeting these MiRNAs may significantly alter oncogenic signaling pathways and slow or halt progression of many different types of tumors. A better understanding of the functions of MiRNAs in cancer will enable the development of new treatment strategies for chemoresistant malignancies. This review discusses recent findings about the connections between MiRNAs and carcinogenesis and provides insight into the role of MiRNAs in generating chemoresistance.

PAQR3 expression is downregulated in human breast cancers and correlated with HER2 expression.

PAQR3 is a newly discovered tumor suppressor and its functional role in breast cancer has not been well characterized. We report here that PAQR3 is associated with the progression and survival of human patients with breast cancer, as well as cell proliferation and migration of human breast cancer cells. PAQR3 mRNA level was robustly downregulated in human breast cancer samples compared with their corresponding para-cancerous histological normal tissues (n = 82, P < 0.0001). The mRNA level of PAQR3 was negatively correlated with HER2 expression (P < 0.0001) and disease-free survival of the patients (P < 0.0001). PAQR3 overexpression inhibited cell proliferation, colony formation and migration of breast cancer cells including MCF7, SKBR3, MDA-MD-231, MDA-MD-468 and MDA-MD-453 cells. Knockdown of PAQR3 in MDA-MD-231 cells elevated cell proliferation and migration. Inhibition of HER2 by trastuzumab increased PAQR3 expression in SKBR3 cells. In conclusion, PAQR3 expression is frequently downregulated in human breast cancers inversely correlated with HER2 expression. PAQR3 is able to modulate the proliferation and migration of breast cancer cells. Our data indicate that PAQR3 functions as a tumor suppressor in the development of human breast cancers.

PAQR3 has modulatory roles in obesity, energy metabolism, and leptin signaling.

Diet-induced obesity is commonly associated with leptin resistance, and attenuated leptin signaling contributes to the progression of obesity. PAQR3 is a member of the progesterone and AdipoQ receptor (PAQR) family with close homology to adiponectin receptors. We hypothesized that PAQR3 is implicated in the regulation of obesity and energy homeostasis. To address this hypothesis, we fed Paqr3-deleted mice with high-fat diet (HFD), followed by analyses to evaluate obesity, hepatic steatosis, insulin resistance, metabolic rate, and leptin signaling. We found that mice with deletion of Paqr3 are resistant to HFD-induced obesity and hepatic steatosis, accompanied by improvement of insulin resistance and insulin signaling. Paqr3-deleted mice have an increased energy expenditure and physical activity. HFD-induced leptin resistance is reversed by Paqr3 ablation. Overexpression of PAQR3 reduces leptin signaling whereas deletion of Paqr3 enhances leptin signaling in the hypothalamus. In conclusion, this study reveals that PAQR3 has an important physiological function in modulating obesity, energy metabolism, and leptin signaling.

PAQR10 and PAQR11 mediate Ras signaling in the Golgi apparatus.

Ras plays a pivotal role in many cellular activities, and its subcellular compartmentalization provides spatial and temporal selectivity. Here we report a mode of spatial regulation of Ras signaling in the Golgi apparatus by two highly homologous proteins PAQR10 and PAQR11 of the progestin and AdipoQ receptors family. PAQR10 and PAQR11 are exclusively localized in the Golgi apparatus. Overexpression of PAQR10/PAQR11 stimulates basal and EGF-induced ERK phosphorylation and increases the expression of ERK target genes in a dose-dependent manner. Overexpression of PAQR10/PAQR11 markedly elevates Golgi localization of HRas, NRas and KRas4A, but not KRas4B. PAQR10 and PAQR11 can also interact with HRas, NRas and KRas4A, but not KRas4B. The increased Ras protein at the Golgi apparatus by overexpression of PAQR10/PAQR11 is in an active state. Consistently, knockdown of PAQR10 and PAQR11 reduces EGF-stimulated ERK phosphorylation and Ras activation at the Golgi apparatus. Intriguingly, PAQR10 and PAQR11 are able to interact with RasGRP1, a guanine nucleotide exchange protein of Ras, and increase Golgi localization of RasGRP1. The C1 domain of RasGRP1 is both necessary and sufficient for the interaction of RasGRP1 with PAQR10/PAQR11. The simulation of ERK phosphorylation by overexpressed PAQR10/PAQR11 is abrogated by downregulation of RasGRP1. Furthermore, differentiation of PC12 cells is significantly enhanced by overexpression of PAQR10/PAQR11. Collectively, this study uncovers a new paradigm of spatial regulation of Ras signaling in the Golgi apparatus by PAQR10 and PAQR11.