GABA consumption during early pregnancy impairs endometrial receptivity and embryo development in mice

γ‐Aminobutyrate (GABA) is commonly used as a food supplement and a health care product by young females, due to its positive roles in relieving stress, alleviating anxiety, and improving sleep. However, its recommended daily dose in different products varies widely. Besides, it is unknown whether, and how, GABA consumption during early pregnancy influences pregnancy establishment. In this study, we found that when pregnant mice were treated with a high (12.5 mg/g) dose of GABA (orally) during preimplantation, there was a reduction in the number of implantation sites on day 5 of pregnancy. Also, among these unimplanted embryos, most exhibited morphological degeneration and developmental retardation, and only a few of them developed into blastocysts but could not implant into the uterus. Moreover, the expression of uterine receptivity–related factors—LIF, E‐cadherin, and HOXA10—were all downregulated, while the number of uterine glands was reduced in the high GABA dose group. Finally, in vitro results demonstrated that GABA (ranging from 10 to 50 μg/μL) markedly inhibited preimplantation embryo development in a dose‐response manner. However, this inhibitory effect was not observed when the embryos were pretreated with 40 μΜ 2‐hydroxysaclofen, a GABA_B antagonist, indicating that GABA exerts its inhibitory effects via its B‐type receptor. Our results suggest that exposure to certain GABA concentrations, during early pregnancy, can impair preimplantation embryo development via its B‐type receptor, and endometrial receptivity, which greatly disturbs early embryo implantation in mice. These findings could raise concerns about GABA consumption during the early stages of pregnancy.     

Combined use of dbcAMP and IBMX minimizes the damage induced by a long‐term artificial meiotic arrest in mouse germinal vesicle oocytes

Phosphodiesterase (PDE)‐mediated reduction of cyclic adenosine monophosphate (cAMP) activity can initiate germinal vesicle (GV) breakdown in mammalian oocytes. It is crucial to maintain oocytes at the GV stage for a long period to analyze meiotic resumption in vitro. Meiotic resumption can be reversibly inhibited in isolated oocytes by cAMP modulator forskolin, cAMP analog dibutyryl cAMP (dbcAMP), or PDE inhibitors, milrinone (Mil), Cilostazol (CLZ), and 3‐isobutyl‐1‐methylxanthine (IBMX). However, these chemicals negatively affect oocyte development and maturation when used independently. Here, we used ICR mice to develop a model that could maintain GV‐stage arrest with minimal toxic effects on subsequent oocyte and embryonic development. We identified optimal concentrations of forskolin, dbcAMP, Mil, CLZ, IBMX, and their combinations for inhibiting oocyte meiotic resumption. Adverse effects were assessed according to subsequent development potential, including meiotic resumption after washout, first polar body extrusion, early apoptosis, double‐strand DNA breaks, mitochondrial distribution, adenosine triphosphate levels, and embryonic development. Incubation with a combination of 50.0 μM dbcAMP and 10.0 μM IBMX efficiently inhibited meiotic resumption in GV‐stage oocytes, with low toxicity on subsequent oocyte maturation and embryonic development. This work proposes a novel method with reduced toxicity to effectively arrest and maintain mouse oocytes at the GV stage.     

HIF‐1α forms regulatory loop with YAP to coordinate hypoxia‐induced adriamycin resistance in acute myeloid leukemia cells

Despite the improvement in acute myeloid leukemia (AML) treatments, most patients had a poor prognosis and suffered from chemoresistance and disease relapse. Therefore, there is an urgent need for elucidation of mechanism(s) underlying drug resistance in AML. In the present study, we found that AML cells showed less susceptibility to adriamycin (ADR) in the presence of hypoxia, while inhibition of hypoxia‐inducible factor 1α (HIF‐1α) by CdCl₂ can make AML cells re‐susceptibile to ADR even under hypoxia. Moreover, HIF‐1α is overexpressed and plays an important role in ADR‐resistance maintenance in resistant AML cells. We further found hypoxia or induction of HIF‐1α can significantly upregulate yes‐associated protein (YAP) expression in AML cells, and resistant cells express a high level of YAP. Finally, we found that YAP may not only enhance HIF‐1α stability but also promote HIF‐1α's activity on the target gene pyruvate kinase M2. In conclusion, our data indicate that HIF‐1α or YAP may represent a therapeutic target for overcoming resistance toward adriamycin‐based chemotherapy in AML.     

TGF-β对肿瘤微环境中免疫监视及细胞外基质的调控作用

转化生长因子β(transforming growth factorβ,TGF-β)是一种多功能的细胞因子,能够调控细胞增殖、分化、黏附、迁移及凋亡等行为,在胚胎发育过程和成体组织稳态维持中发挥重要的作用。而在许多疾病状态下,特别是在癌症中,TGF-β不仅能够影响肿瘤细胞的增殖与转移,其对于肿瘤微环境的调控与塑造也受到越来越多的关注。肿瘤微环境是指肿瘤在发生和发展过程中所处的内环境,由肿瘤细胞本身、相邻正常组织中的间质细胞,以及这些细胞所释放的众多细胞因子等共同组成。肿瘤微环境是肿瘤发展的重要机制,也是肿瘤临床治疗领域亟待探索的关键问题。TGF-β是调节肿瘤微环境组成和功能的主要参与者之一。在本综述中,将着重讨论TGF-β对于肿瘤微环境中的免疫监视机制及肿瘤细胞外基质的主要影响。即TGF-β对于构成先天性和获得性抗肿瘤免疫应答的各种类群的免疫细胞具有广泛的调控作用,从而削弱宿主的肿瘤免疫监视功能。同时,TGF-β通过促进肿瘤相关成纤维细胞的产生,以及肿瘤细胞外基质的纤维化,有助于肿瘤的恶变和转移。此外,还介绍了通过阻断肿瘤微环境中TGF-β信号通路进行肿瘤治疗的主要策略及独特优势。而未来进一步解析TGF-β信号在肿瘤微环境中的复杂调控作用,并建立有效的靶向干预方法对于开发高效的抗肿瘤药物具有重要的意义。     

Rainfall manipulation experiments as simulated by terrestrial biosphere models: Where do we stand?

Changes in rainfall amounts and patterns have been observed and are expected to continue in the near future with potentially significant ecological and societal consequences. Modelling vegetation responses to changes in rainfall is thus crucial to project water and carbon cycles in the future. In this study, we present the results of a new model‐data intercomparison project, where we tested the ability of 10 terrestrial biosphere models to reproduce the observed sensitivity of ecosystem productivity to rainfall changes at 10 sites across the globe, in nine of which, rainfall exclusion and/or irrigation experiments had been performed. The key results are as follows: (a) Inter‐model variation is generally large and model agreement varies with timescales. In severely water‐limited sites, models only agree on the interannual variability of evapotranspiration and to a smaller extent on gross primary productivity. In more mesic sites, model agreement for both water and carbon fluxes is typically higher on fine (daily–monthly) timescales and reduces on longer (seasonal–annual) scales. (b) Models on average overestimate the relationship between ecosystem productivity and mean rainfall amounts across sites (in space) and have a low capacity in reproducing the temporal (interannual) sensitivity of vegetation productivity to annual rainfall at a given site, even though observation uncertainty is comparable to inter‐model variability. (c) Most models reproduced the sign of the observed patterns in productivity changes in rainfall manipulation experiments but had a low capacity in reproducing the observed magnitude of productivity changes. Models better reproduced the observed productivity responses due to rainfall exclusion than addition. (d) All models attribute ecosystem productivity changes to the intensity of vegetation stress and peak leaf area, whereas the impact of the change in growing season length is negligible. The relative contribution of the peak leaf area and vegetation stress intensity was highly variable among models.