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This study investigates modulation of El Niño–Southern Oscillation (ENSO) on the Madden–Julian oscillation (MJO) propagation during boreal winter. Results show that the spatiotemporal evolution of MJO manifests as a fast equatorially symmetric propagation from the Indian Ocean to the equatorial western Pacific (EWP) during El Niño, whereas the MJO during La Niña is very slow and tends to frequently “detour” via the southern Maritime Continent (MC). The westward group velocity of the MJO is also more significant during El Niño. Based on the dynamics-oriented diagnostics, it is found that, during El Niño, the much stronger leading suppressed convection over the EWP excites a significant front Walker cell, which further triggers a larger Kelvin wave easterly wind anomaly and premoistening and heating effects to the east. However, the equatorial Rossby wave to the west tends to decouple with the MJO convection. Both effects can result in fast MJO propagation. The opposite holds during La Niña. A column-integrated moisture budget analysis reveals that the sea surface temperature anomaly driving both the eastward and equatorward gradients of the low-frequency moisture anomaly during El Niño, as opposed to the westward and poleward gradients during La Niña, induces moist advection over the equatorial eastern MC–EWP region due to the intraseasonal wind anomaly and therefore enhances the zonal asymmetry of the moisture tendency, supporting fast propagation. The role of nonlinear advection by synoptic-scale Kelvin waves is also nonnegligible in distinguishing fast and slow MJO modes. This study emphasizes the crucial roles of dynamical wave feedback and moisture–convection feedback in modulating the MJO propagation by ENSO.

Rainfall in southern China reaches its annual peak in early summer (May–June) with strong interannual variability. Using a combination of observational analysis and numerical modeling, the present study investigates the leading modes of this variability and its dynamic drivers. A zonal dipole pattern termed the southern China Dipole (SCD) is found to be the dominant feature in early summer during 1979–2014, and is closely related to a low-level anomalous anticyclone over the Philippine Sea (PSAC) and a Eurasian wave-train pattern over the mid–high latitudes. Linear regressions based on observations and numerical experiments using the CAM5 model suggest that the associated atmospheric circulation anomalies in early summer are linked to decaying El Niño-Southern Oscillation-like sea surface temperature (SST) anomalies in the tropical Pacific, basin-scale SST anomalies in the tropical Indian Ocean, and meridional tripole-like SST anomalies in the North Atlantic in the previous winter to early summer. The tropical Pacific and Indian Ocean SST anomalies primarily exert an impact on the SCD through changing the polarity of the PSAC, while the North Atlantic tripole-like SST anomalies mainly exert a downstream impact on the SCD by inducing a Eurasian wave-train pattern. The North Atlantic tripole-like SST anomalies also make a relatively weak contribution to the variations of the PSAC and SCD through a subtropical teleconnection. Modeling results indicate that the three-basin combined forcing has a greater impact on the SCD and associated circulation anomalies than the individual influence from any single oceanic basin.

We study the active dynamics of self-propelled asymmetrical colloidal particles (Janus particles) fueled by an AC electric field. Both the speed and direction of the self-propulsion, and the strength of the attractive interaction between particles can be controlled by tuning the frequency of the applied electric field and the ion concentration of the solution. The strong attractive force at high ion concentration gives rise to chain formation of the Janus particles, which can be explained by the quadrupolar charge distribution on the particles. Chain formation is observed irrespective of the direction of the self-propulsion of the particles. When both the position and the orientation of the heads of the chains are fixed, they exhibit beating behavior reminiscent of eukaryotic flagella. The beating frequency of the chains of Janus particles depends on the applied voltage and thus on the self-propulsive force. The scaling relation between the beating frequency and the self-propulsive force deviates from theoretical predictions made previously on active filaments. However, this discrepancy is resolved by assuming that the attractive interaction between the particles is mediated by the quadrupolar distribution of the induced charges, which gives indirect but convincing evidence on the mechanisms of the Janus particles. This signifies that the dependence between the propulsion mechanism and the interaction mechanism, which had been dismissed previously, can modify the dispersion relations of beating behaviors. In addition, hydrodynamic interaction within the chain, and its effect on propulsion speed, are discussed. These provide new insights into active filaments, such as optimal flagellar design for biological functions.

Background Senescent astrocytes have been implicated in the aging brain and neurodegenerative disorders, including Parkinson’s disease (PD). Astragaloside IV (AS-IV) is an antioxidant derivative from a traditional Chinese herbal medicine Astragalus membraneaceus Bunge and exerts anti-inflammatory and longevity effects and neuroprotective activities. However, its effect on astrocyte senescence in PD remains to be defined. Methods Long culture-induced replicative senescence model and lipopolysaccharide/1-methyl-4-phenylpyridinium (LPS/MPP + )-induced premature senescence model and a mouse model of PD were used to investigate the effect of AS-IV on astrocyte senescence in vivo and in vitro. Immunocytochemistry, qPCR, subcellular fractionation, flow cytometric analyses, and immunohistochemistry were subsequently conducted to determine the effects of AS-IV on senescence markers. Results We found that AS-IV inhibited the astrocyte replicative senescence and LPS/MPP + -induced premature senescence, evidenced by decreased senescence-associated β-galactosidase activity and expression of senescence marker p16, and increased nuclear level of lamin B1, and reduced pro-inflammatory senescence-associated secretory phenotype. More importantly, we showed that AS-IV protected against the loss of dopamine neurons and behavioral deficits in the mouse model of PD, which companied by reduced accumulation of senescent astrocytes in substantia nigra compacta. Mechanistically, AS-IV promoted mitophagy, which reduced damaged mitochondria accumulation and mitochondrial reactive oxygen species generation and then contributed to the suppression of astrocyte senescence. The inhibition of autophagy abolished the suppressive effects of AS-IV on astrocyte senescence. Conclusions Our findings reveal that AS-IV prevents dopaminergic neurodegeneration in PD via inhibition of astrocyte senescence through promoting mitophagy and suggest that AS-IV is a promising therapeutic strategy for the treatment of age-associated neurodegenerative diseases such as PD.

The northern East Asia (NEA) is suffering from significant temperature anomalies in recent years and the formation mechanisms remain unclear yet. With focus on non‐local effects of Tibetan Plateau soil moisture (TPSM), this study explores the close linkage between anomalies of TPSM in boreal spring and air temperature of NEA (NEAT) in early summer based on observational diagnosis, and the influence mechanism is verified by numerical model experiments. The drier mid‐west TPSM in April could persist into early summer and reduce the TP evaporation, which leads to positive anomalies of surface sensible heat flux heating the TP atmosphere. Heated air further exciting the wave train, and NEA is covered by positive geopotential height anomalies. Higher pressure results the downdraft and thus abnormally high air temperatures in NEA eventually. This study suggests that TPSM in spring may act as a new precursor providing an additional source of predictability for early‐summer NEAT.

The El Niño–Southern Oscillation (ENSO) is mainly manifested as the quasi‐biennial (QB) and low‐frequency (LF) coupled modes centered at different longitudes. Based on the recharge oscillator framework, we propose a new method to diagnose the linear periodicity dynamics of spatiotemporally diverse ENSOs, for example, the two coupled modes, to which the traditional Wyrtki index method is ineligible. This method is applied to reanalysis data sets and models and validated by comparisons with the Wyrtki index, which shows that the periodicity of the LF mode is dominated by the thermocline feedback (TH) and effectively reproduced by models, whereas the periodicity of the QB mode is equally driven by the TH and zonal advective feedback (ZA) and poorly simulated in most models due to the insufficient ZA simulations. The new method provides an effective tool for a deeper understanding of the multi‐timescale nature of diverse ENSOs and improving their representations in future models. Plain Language Summary The El Niño–Southern Oscillation (ENSO) has two relatively separated main period bands, viz., the 3–7‐year low‐frequency (LF) and 2–3‐year quasi‐biennial (QB), which have been found to be accompanied by the eastern‐Pacific and central‐Pacific spatial types of ENSO sea surface temperature anomalies. What controls such periodicity is a fundamental question in ENSO dynamics. In this study, we propose a new method to diagnose the ENSO linear periodicity dynamics and the role of key feedbacks in determining ENSO periods due to the limitation of the traditional volume‐averaged scheme concerning ENSO pattern diversity. Our method, validated by comparison with the Wyrtki period index originating from the ENSO recharge oscillator framework, clearly shows that the thermocline feedback dominates in shaping the periodicity of the LF mode, whereas its role is equal to the zonal advective feedback in the QB mode. Most of the Coupled Model Intercomparison Project 6 models can effectively reproduce the linear periodicity of the LF mode following the canonical ENSO dynamics but struggle with capturing that of the QB mode. This new method and its related results could increase our understanding of the dynamics of the spatiotemporal diversity of ENSO. Key Points A new method is proposed and validated to diagnose the linear periodicity dynamics of The El Niño–Southern Oscillation (ENSO) for its both quasi‐biennial (QB) and low‐frequency (LF) spatiotemporal modes The thermocline feedback dominates periodicity of the LF mode, but its role is equal to the zonal advective feedback in the QB mode Most Coupled Model Intercomparison Project 6 models can effectively reproduce linear periodicity of the LF mode like canonical ENSO dynamics, but struggle with the QB mode

Background α-Synuclein (α-Syn), a pathological hallmark of Parkinson’s disease (PD), has been recognized to induce the production of interleukin-1β in a process that depends, at least in vitro, on nod-like receptor protein 3 (NLRP3) inflammasome in monocytes. However, the role of NLRP3 inflammasome activation in the onset of PD has not yet been fully established. Results In this study, we showed that NLRP3 inflammasomes were activated in the serum of PD patients and the midbrain of PD model mice. We further clarified that α-syn activated the NLRP3 inflammasome through microglial endocytosis and subsequent lysosomal cathepsin B release. Deficiency of caspase-1, an important component of NLRP3 inflammasome, significantly inhibited α-syn-induced microglia activation and interleukin-1β production, which in turn alleviated the reduction of mesencephalic dopaminergic neurons treated by microglia medium. Specifically, we demonstrated for the first time that Nlrp3 is a target gene of microRNA-7 (miR-7). Transfection of miR-7 inhibited microglial NLRP3 inflammasome activation whereas anti-miR-7 aggravated inflammasome activation in vitro. Notably, stereotactical injection of miR-7 mimics into mouse striatum attenuated dopaminergic neuron degeneration accompanied by the amelioration of microglial activation in MPTP-induced PD model mice. Conclusions Our study provides a direct link between miR-7 and NLRP3 inflammasome-mediated neuroinflammation in the pathogenesis of PD. These findings will give us an insight into the potential of miR-7 and NLRP3 inflammasome in terms of opening up novel therapeutic avenues for PD.

The El Niño-Southern Oscillation (ENSO) has been shown to manifest as primarily two types, the eastern Pacific (EP) type and central Pacific (CP) type, in terms of the zonal positions of the sea surface temperature (SST) anomalies. This study focuses on examining the predictability of the two types of ENSO by developing statistical models for their corresponding Niño indices, which have their own distinct key precursors. The results show that the statistical predictability of the Niño indices representing the two types of ENSO primarily originates from the preceding variations in the equatorial Pacific upper-ocean heat content and the surface zonal wind stress, which intrinsically reflect the zonally uniform and contrasted thermocline patterns, respectively. The traditional Niño3 and Niño4 indices are more predictive than the Niño indices of the EP and CP ENSO types; however, all the indices are subject to predictability barriers with different timings and intensities, which might be weakened by introducing additional external precursors. The EP ENSO indices have overall higher skills than the CP indices, in which the statistical model has much higher skill scores than persistence forecast for the EP ones while it does less for the CP ones. We demonstrate that the precursors outside the tropical Pacific, e.g., the Indian Ocean Dipole, North Pacific oscillation, North American dipole, and Southern Hemispheric SST modes, except the northern tropical Atlantic SST, as suggested in previous studies, only make limited contributions to improving the prediction skills of the two ENSO types at specific initial months and leads compared to a benchmark model built using the equatorial Pacific heat content and zonal wind stress indices. This is primarily because these precursors have already transferred most of their signals into the variation of the two indices in the benchmark model. We further show that conditionally adding the northern tropical Atlantic SST precursor to the benchmark could provide considerable additional prediction skill scores for both types of ENSO and weaken the intensity of the ENSO predictability barriers that occur during boreal spring‒summer.