Charge-Reversal NaCl/G-Quartets for Aggregation-Induced Mitochondrial MicroRNA Imaging and Ion-Interference Therapy.

Mitochondrial therapy is a promising new strategy that offers the potential to achieve precise disease diagnosis or maximum therapeutic response. However, versatile mitochondrial theranostic platforms that integrate biomarker detection and therapy have rarely been exploited. Here, we report a charge-reversal nanomedicine activated by an acidic microenvironment for mitochondrial microRNA (mitomiR) detection and ion-interference therapy. The transporter liposome (DD-DC) was constructed from a pH-responsive polymer and a positively charged phospholipid, encapsulating NaCl nanoparticles with coloading of the aggregation-induced emission (AIE) fluorogens AIEgen-DNA/G-quadruplexes precursor and brequinar (NAB@DD-DC). The negatively charged nanomedicine ensured good blood stability and high tumor accumulation, while the charge-reversal to positive in response to the acidic pH in the tumor microenvironment (TME) and lysosomes enhanced the uptake by tumor cells and lysosome escape, achieving accumulation in mitochondria. The subsequently released Na+ in mitochondria not only contributed to the formation of mitomiR-494 induced G-quadruplexes for AIE imaging diagnosis but also led to an osmolarity surge that was enhanced by brequinar to achieve effective ion-interference therapy.

Structure-based design of pan-coronavirus inhibitors targeting host cathepsin L and calpain-1.

Respiratory disease caused by coronavirus infection remains a global health crisis. Although several SARS-CoV-2-specific vaccines and direct-acting antivirals are available, their efficacy on emerging coronaviruses in the future, including SARS-CoV-2 variants, might be compromised. Host-targeting antivirals provide preventive and therapeutic strategies to overcome resistance and manage future outbreak of emerging coronaviruses. Cathepsin L (CTSL) and calpain-1 (CAPN1) are host cysteine proteases which play crucial roles in coronaviral entrance into cells and infection-related immune response. Here, two peptidomimetic α-ketoamide compounds, 14a and 14b, were identified as potent dual target inhibitors against CTSL and CAPN1. The X-ray crystal structures of human CTSL and CAPN1 in complex with 14a and 14b revealed the covalent binding of α-ketoamide groups of 14a and 14b to C25 of CTSL and C115 of CAPN1. Both showed potent and broad-spectrum anticoronaviral activities in vitro, and it is worth noting that they exhibited low nanomolar potency against SARS-CoV-2 and its variants of concern (VOCs) with EC50 values ranging from 0.80 to 161.7 nM in various cells. Preliminary mechanistic exploration indicated that they exhibited anticoronaviral activity through blocking viral entrance. Moreover, 14a and 14b exhibited good oral pharmacokinetic properties in mice, rats and dogs, and favorable safety in mice. In addition, both 14a and 14b treatments demonstrated potent antiviral potency against SARS-CoV-2 XBB 1.16 variant infection in a K18-hACE2 transgenic mouse model. And 14b also showed effective antiviral activity against HCoV-OC43 infection in a mouse model with a final survival rate of 60%. Further evaluation showed that 14a and 14b exhibited excellent anti-inflammatory effects in Raw 264.7 mouse macrophages and in mice with acute pneumonia. Taken together, these results suggested that 14a and 14b are promising drug candidates, providing novel insight into developing pan-coronavirus inhibitors with antiviral and anti-inflammatory properties.

Direct Construction of C-Alkyl Glycosides from Non-Activated Olefins via Nickel-Catalyzed C(sp3)─C(sp3) Coupling Reaction.

Among C-glycosides, C-alkyl glycosides are significant building blocks for natural products and glycopeptides. However, research on efficient construction methods for C-alkyl glycosides remains relatively limited. Compared with Michael acceptors, non-activated olefins are more challenging substrates and have rarely been employed in the construction of C-glycosides. Here, a highly efficient and convenient approach for the synthesis of C-alkyl glycosides through a nickel-catalyzed C(sp3)-C(sp3) coupling reaction is presented. A distinctive feature of this method is its utilization of non-activated olefins as the anomeric radical acceptors for hydroalkylation, allowing for the direct formation of C-glycoside bonds in a single step. Furthermore, this method demonstrates excellent compatibility with a broad scope of highly reactive functional groups. Mechanistic investigations suggest that the reaction proceeds via a free radical pathway, leading predominantly to the formation of products with α-configuration. Overall, this innovative methodology offers a versatile and practical approach for the synthesis of C-alkyl glycosides, offering new avenues for the production of intricate glycosides with potential applications in drug discovery and chemical biology.

How Social Media Algorithms Shape Offline Civic Participation: A Framework of Social-Psychological Processes.

Even though social media platforms have created opportunities for more efficient and convenient civic participation, they are unlikely to bring about social change if the online actions do not propagate to offline civic participation. This article begins by reviewing the meta-analytic evidence on the relation between social media use and offline civic participation. Following this discussion, we present a theoretical framework that incorporates the attitudinal, motivational, and relational processes that may mediate the effect of social media use on offline civic participation. The framework highlights how social media algorithms may shape attitudes on important societal issues, promote generalized action goals among habitual users, and build social capital. We further discuss factors that may strengthen or undermine each of these processes, suggest ways to design and implement algorithms that may promote offline civic participation, and propose questions for future research.

The impact of multiple-behavior HIV interventions as a function of regional disadvantages: An analysis of syndemics.

OBJECTIVE: Disadvantaged populations, including inhabitants of developing countries as well as racial/ethnic and sexual minorities in the United States, are disproportionally burdened by human immunodeficiency virus (HIV) infection, delayed HIV diagnosis, and unfavorable HIV-treatment outcomes. HIV interventions targeting single behaviors (e.g., testing) in these populations have shown to be efficacious at producing behavioral and clinical change but have been unable to eliminate the social health disparities associated with syndemics (i.e., a set of connected risks, interacting synergistically, and contributing to excess burden of disease in a population). METHOD: This meta-analysis of 331 reports (clusters; number of effect sizes [k] = 1,364) assessed whether multiple-behavior interventions that target clusters of syndemic risks are more efficacious for those in disadvantaged regions and social groups. RESULTS: Across the board, multiple-behavior interventions were more efficacious than single-behavior ones as well as passive control groups among samples from countries with lower log gross domestic product (GDP), lower Human Development Index (HDI), and lower Healthcare Access and Quality (HAQ) Index. CONCLUSIONS: Within the United States, the efficacy of multiple-behavior interventions was similar across different levels of representation of racial/ethnic and sexual minorities. The analyses used robust variance estimation with small-sample corrections to assess the differential effects of multiple-behavior interventions and Egger Sandwich test with the multilevel meta-analysis approach to detect selection biases. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Targeting Disease Susceptibility Genes in Wheat Through wide Hybridization with Maize Expressing Cas9 and Guide RNA.

Two genes (TaHRC and Tsn1) conferring susceptibility to Fusarium head blight and tan spot, Septoria nodorum blotch, and spot blotch in wheat were targeted through wide hybridization with maize expressing Cas9 and guide RNA (gRNA). For each gene, two target sites were selected and corresponding gRNA expression cassettes were synthesized and cloned into a binary vector carrying the CRISPR/Cas9-mediated genome editing machinery. The constructed binary vectors were used to transform the hybrid maize Hi-II through an Agrobacterium-mediated approach to generate T0 and T1 plants, which were used to cross with wheat variety Dayn for targeting Tsn1 or the susceptible allele (TaHRC-S) of TaHRC as well as with the near-isogenic line (Day-Fhb1) of Dayn for targeting the resistant allele (TaHRC-R) of TaHRC. Haploid embryos were rescued in vitro from the wide crosses to generate haploid plants. PCR amplification and sequencing indicated that 15 to 33% of the haploid plants contained the target gene with mutations at the target sites. This wheat × maize hybridization combined with genome editing approach provides a useful alternative tool, not only for targeting susceptibility genes to improve disease resistance without regulatory issues, but also for understanding gene function in wheat. [Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Priming behavior: A meta-analysis of the effects of behavioral and nonbehavioral primes on overt behavioral outcomes.

Past meta-analyses of the effects of priming on overt behavior have not examined whether the effects and processes of priming behavioral or nonbehavioral concepts (e.g., priming action through the word go and priming religion through the word church) differ, even though these possibilities are important to our understanding of concept accessibility and behavior. Hence, we meta-analyzed 351 studies (224 reports and 862 effect sizes) involving incidental presentation of behavioral or nonbehavioral primes, a neutral control group, and at least one behavioral outcome. Our random-effects analyses, which used the correlated and hierarchical effects model with robust variance estimation (Pustejovsky & Tipton, 2021; Tanner-Smith et al., 2016), revealed a moderate priming effect (d = 0.37) that remained stable across behavioral and nonbehavioral primes and across different methodological procedures and adjustments for possible inclusion/publication biases (e.g., sensitivity analyses from Mathur & VanderWeele, 2020; sensitivity analyses from Vevea & Woods, 2005). Although the findings suggest that associative processes explain both the effects of behavioral and nonbehavioral primes, lowering the value of a behavior weakened the effect only when the primes were behavioral. These findings support the possibility that even though both types of primes activate associations that promote behavior, behavioral (vs. nonbehavioral) primes may provide a greater opportunity for goals to control the effect of the primes. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Multi-Delay Identification of Rare Earth Extraction Process Based on Improved Time-Correlation Analysis.

The rare earth extraction process has significant time delay characteristics, making it challenging to identify the time delay and establish an accurate mathematical model. This paper proposes a multi-delay identification method based on improved time-correlation analysis. Firstly, the data are preprocessed by grey relational analysis, and the time delay sequence and time-correlation data matrix are constructed. The time-correlation analysis matrix is defined, and the H∞ norm quantifies the correlation degree of the data sequence. Thus the multi-delay identification problem is transformed into an integer optimization problem. Secondly, an improved discrete state transition algorithm is used for optimization to obtain multi-delay. Finally, based on an Neodymium (Nd) component content model constructed by a wavelet neural network, the performance of the proposed method is compared with the unimproved time delay identification method and the model without an identification method. The results show that the proposed algorithm improves optimization accuracy, convergence speed, and stability. The performance of the component content model after time delay identification is significantly improved using the proposed method, which verifies its effectiveness in the time delay identification of the rare earth extraction process.

Discovery, synthesis and mechanism study of 2,3,5-substituted [1,2,4]-thiadiazoles as covalent inhibitors targeting 3C-Like protease of SARS-CoV-2.

The 3C-like protease (3CLpro) is essential for the replication and transcription of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), making it a promising target for the treatment of corona virus disease 2019 (COVID-19). In this study, a series of 2,3,5-substituted [1,2,4]-thiadiazole analogs were discovered to be able to inhibit 3CLpro as non-peptidomimetic covalent binders at submicromolar levels, with IC50 values ranging from 0.118 to 0.582 µM. Interestingly, these compounds were also shown to inhibit PLpro with the same level of IC50 values, but had negligible effect on proteases such as chymotrypsin, cathepsin B, and cathepsin L. Subsequently, the antiviral abilities of these compounds were evaluated in cell-based assays, and compound 6g showed potent antiviral activity with an EC50 value of 7.249 µM. It was proposed that these compounds covalently bind to the catalytic cysteine 145 via a ring-opening metathesis reaction mechanism. To understand this covalent-binding reaction, we chose compound 6a, one of the identified hit compounds, as a representative to investigate the reaction mechanism in detail by combing several computational predictions and experimental validation. The process of ring-opening metathesis was theoretically studied using quantum chemistry calculations according to the transition state theory. Our study revealed that the 2,3,5-substituted [1,2,4]-thiadiazole group could covalently modify the catalytic cysteine in the binding pocket of 3CLpro as a potential warhead. Moreover, 6a was a known GPCR modulator, and our study is also a successful computational method-based drug-repurposing study.

Experimental Study on the Mechanical Properties of Diatomite-Modified Coastal Cement Soil.

Diatomite is a non-metallic mineral resource rich in SiO2, which can be used to modify coastal cement soil. In order to explore the mechanical modification effect of diatomite on coastal cement soil at the age of 7 days, based on coastal cement soil with cement content of 5% (mass fraction), diatomite of 0%, 5%, 10%, 15% and 20% (mass fraction) was mixed for modification. Through the unconfined compressive strength test, the triaxial unconsolidated undrained test, backscattered electron imaging (BSE), and energy-dispersive spectroscopy (EDS) technology, the influence of diatomite content and confining pressure on the peak strength of modified coastal cement soil was explored. The empirical formula between the peak strength of the DE specimen and the content of diatomite and confining pressure was established by curve fitting, and the fitting effect was ideal. When diatomite was mixed with coastal cement soil, the optimal dosage of diatomite was 5% from the perspective of mechanical properties and economic benefits of the maximum growth rate of compression and shear. The unconfined compressive strength test showed that the peak strength and elastic modulus of the modified coastal cement soil with 5% diatomite content were 37% and 57% higher than those of cement soil, respectively. The triaxial unconsolidated undrained test showed that the internal friction angle of the modified coastal cement soil was stable at about 30°, and cohesion of DE-5, DE-10, DE-15, and DE-20 increased by 28%, 48%, 78%, and 97%, respectively, compared to cement soil. The microscopic test found that the pore distribution of modified coastal cement soil is closely related to the strength change. The results show that the addition of diatomite can effectively improve the mechanical properties of soil-cement.

In vitro and in vivo evaluation of the main protease inhibitor FB2001 against SARS-CoV-2.

FB2001 is a drug candidate that targets the main protease of SARS-CoV-2 via covalently binding to cysteine 145. In this study, we evaluated the inhibitory activities of FB2001 against several SARS-CoV-2 variants in vitro and in vivo (in mice), and we also evaluated the histopathological analysis and immunostaining of FB2001 on lung and brain which have been rarely reported. The results showed that FB2001 exhibited potent antiviral efficacy against several current SARS-CoV-2 variants in Vero E6 cells, namely, B.1.1.7 (Alpha): EC50 = 0.39 ± 0.01 µM, EC90 = 0.75 ± 0.01 µM; B.1.351 (Beta): EC50 = 0.28 ± 0.11 µM, EC90 = 0.57 ± 0.21 µM; B.1.617.2 (Delta): EC50 = 0.27 ± 0.05 µM, EC90 = 0.81 ± 0.20 µM; B.1.1.529 (Omicron): EC50 = 0.26 ± 0.06 µM and EC50 = 0.042 ± 0.007 µM (in the presence of a P-glycoprotein inhibitor). FB2001 remained potent against SARS-CoV-2 replication in the presence of high concentrations of human serum, which indicating that human serum had no significant effect on the in vitro inhibitory activity. Additionally, this inhibitor exhibited an additive effect against SARS-CoV-2 when combined with Remdesivir. Furthermore, FB2001 significantly reduced the SARS-CoV-2 copy numbers and titers in the lungs and brains in vivo, and alleviated the pathological symptoms. In addition, FB2001 could alleviated local bleeding, erythrocyte overflow, edema, and inflammatory cell infiltration in brain tissue, and inhibitors reducing viral titers and improving inflammation in the brain have been rarely reported. A physiologically based pharmacokinetic model was established and verified to predict the FB2001 concentration in human lungs. When FB2001 was administered at 200 mg twice a day for 5 days, the observed Ctrough ss in plasma and predicted Ctrough ss of lung total concentration were 0.163 and 2.5 µg/mL, which were approximately 9 and 132-fold higher than the EC50 of 0.019 µg/mL (0.042 µM) against Omicron variant. Taken together, our study suggests that FB2001 is a promising therapeutic agent in COVID-19 treatment and can be combined with remdesivir to achieve improved clinical outcomes. Owing to its good safety and tolerability in healthy human (NCT05197179 and NCT04766931), FB2001 has been approved for Phase II/III clinical trial (NCT05445934).

Multiplexed Organelles Portrait Barcodes for Subcellular MicroRNA Array Detection in Living Cells.

Multiplexed profiling of microRNAs' subcellular expression and distribution is essential to understand their spatiotemporal function information, but it remains a crucial challenge. Herein, we report an encoding approach that leverages combinational fluorescent dye barcodes, organelle targeting elements, and an independent quantification signal, termed Multiplexed Organelles Portrait Barcodes (MOPB), for high-throughput profiling of miRNAs from organelles. The MOPB barcodes consist of heterochromatic fluorescent dye-loaded shell-core mesoporous silica nanoparticles modified with organelle targeting peptides and molecular beacon detection probes. Using mitochondria and endoplasmic reticulum as models, we encoded four Cy3/AMCA ER-MOPB and four Cy5/AMCA Mito-MOPB by varying the Cy3 and Cy5 intensity for distinguishing eight organelles' miRNAs. Significantly, the MOPB strategy successfully and accurately profiled eight subcellular organelle miRNAs' alterations in the drug-induced Ca2+ homeostasis breakdown. The approach should allow more widespread application of subcellular miRNAs and multiplexed subcellular protein biomarkers' monitoring for drug discovery, cellular metabolism, signaling transduction, and gene expression regulation readout.

A cancer cell membrane vesicle-packaged DNA nanomachine for intracellular microRNA imaging.

A nanomachine consisting of cancer cell membrane vesicle-encapsulated gold nanoparticles with programmable DNA was established. Both homing-targeting ability and a fast dynamic response were achieved for amplification analysis of microRNAs in living cancer cells. The DNA nanomachine holds great potential to realize cancer diagnosis in early stages.

Bioinspired large Stokes shift small molecular dyes for biomedical fluorescence imaging.

Long Stokes shift dyes that minimize cross-talk between the excitation source and fluorescent emission to improve the signal-to-background ratio are highly desired for fluorescence imaging. However, simple small molecular dyes with large Stokes shift (more than 120 nanometers) and near-infrared (NIR) emissions have been rarely reported so far. Here, inspired by the chromophore chemical structure of fluorescent proteins, we designed and synthesized a series of styrene oxazolone dyes (SODs) with simple synthetic methods, which show NIR emissions (>650 nanometers) with long Stokes shift (ranged from 136 to 198 nanometers) and small molecular weight (<450 daltons). The most promising SOD9 shows rapid renal excretion and blood-brain barrier passing properties. After functioning with the mitochondrial-targeted triphenylphosphonium (TPP) group, the resulting SOD9-TPP can be engineered for head-neck tumor imaging, fluorescence image-guided surgery, brain neuroimaging, and on-site pathologic analysis. In summary, our findings add an essential small molecular dye category to the classical dyes.

Mitochondria MicroRNA Spatial Imaging via pH-Responsive Exonuclease-Assisted AIE Nanoreporter.

Mitochondrial microRNAs (mitomiRs) critically orchestrate mitochondrial functions. Spatial imaging of mitomiRs is essential to understand its clinical value in diagnosis and prognosis. However, the direct monitoring of mitomiRs in living cells remains a key challenge. Herein, we report an AIE nanoreporter strategy for mitomiRs imaging in living cells through pH-controlled exonuclease (Exo)-assisted target cycle signal amplification. The AIE-labeled DNA detection probes are conjugated on Exo III encapsulated polymeric nanoparticles (NPs) via consecutive adenines (polyA). The amplified sensing functions are off during the cytoplasm delivery process, and it can be spatially switched from off to on when in the alkaline mitochondria (about pH 8) after triphenylphosphonium (TPP)-mediated mitochondrial targeting. Where the NPs degraded to release Exo III and cancer-specific mitomiRs hybridize with AIE-labeled DNA detection probes to expose the cleavage site of released Exo III, enabling spatially restricted mitomiRs imaging. The mitomiRs expression fluctuation was also realized. This study contributes to a facile strategy that could easily extend to a broad application for the understanding of mitomiRs-related pathological processes.

It's time to do more research on the attitude-behavior relation: A commentary on implicit attitude measures.

The recent exchange about implicit attitudes is an acute reminder of the need to pay research attention to the correlation between implicit attitudes and overt behavior. Current implicit measures are excellent to detect evaluatively relevant associations arising from specific and variable internal states and predict judgments when people lack the motivation and ability to control those judgments. However, there is no convincing evidence of a strong correlation between such implicit attitudes and overt behavior when people's ability and motivation to control the influence of these attitudes is low. Researchers should improve implicit measures by better integrating action, target, level, and context into the measurement procedures and then reexamine if these improved measures predict socially undesirable behaviors when ability and motivation to control behavior are low. This article is categorized under: Psychology > Theory and Methods Neuroscience > Behavior Neuroscience > Cognition.

Self-Propelled Janus Mesoporous Micromotor for Enhanced MicroRNA Capture and Amplified Detection in Complex Biological Samples.

The slow mass transport of the target molecule essentially limits the biosensing performance. Here, we report a Janus mesoporous microsphere/Pt-based (meso-MS/Pt) nanostructure with greatly enhanced target transport and accelerated recognition process for microRNA (miRNA) amplified detection in complex biological samples. The mesoporous MS was synthesized via double emulsion interfacial polymerization, and Pt nanoparticles (PtNPs) were deposited on the half-MS surface to construct Janus meso-MS/Pt micromotor. The heterogeneous meso-MS/Pt with a large surface available was attached to an entropy-driven DNA recognition system, termed meso-MS/Pt/DNA, and the tremendous pores network was beneficial to enhanced receptor-target interaction. It enabled moving around complex biological samples to greatly enhance target miRNA mass transport and accelerate recognition procedure due to the self-diffusiophoretic propulsion. Coupling with the entropy-driven signal amplification, extremely sensitive miRNA detection in Dulbecco's modified Eagle medium (DMEM), and cell lysate without preparatory and washing steps was realized. Given the free preparatory and washing steps, fast mass transport, and amplified capability, the meso-MS/Pt/DNA micromotor provides a promising method for miRNAs analysis in real biological samples.

A correlative study of iron metabolism based on q-Dixon MRI in benign prostatic hyperplasia and prostate cancer.

Clinical staging, Gleason score, and prostate-specific antigen (PSA) have been accepted as factors for evaluating the prognosis of prostate cancer (PCa). With the in-depth study of iron metabolism and the development of multiparametric magnetic resonance imaging technology, we used q-Dixon magnetic resonance imaging (MRI) to measure the iron content of the PCa patients' lesions, and used enzyme-linked immunosorbent assay (ELISA) to measure the iron metabolism indicators in the patients' serum samples, combined with the patients' postoperative clinical data for analysis. We found that the serum indexes were correlated with the T2 star values, International Society of Urological Pathology (ISUP) grade, and pathological classification in PCa patients (all P < 0.001) but not in benign prostatic hyperplasia (BPH) patients (all P > 0.05). The utilization of q-Dixon-based MRI and serum indexes allows the noninvasive measurement of iron content in prostate lesions and the assessment of differential iron metabolism between PCa and BPH, which may be helpful for evaluating the prognosis of PCa.

Spatially Resolved, Error-Robust Multiplexed MicroRNA Profiling in Single Living Cells.

Simultaneous imaging of multiple microRNAs (miRNAs) in individual living cells is challenging due to the lack of spectrally distinct encoded fluorophores and non-cytotoxic methods. We describe a multiplexed error-robust combinatorial fluorescent label-encoding method, termed fluorophores encoded error-corrected labels (FluoELs), enabling multiplexed miRNA imaging in living cells with error-correcting capability. The FluoELs comprise proportional dual fluorophores for encoding and a constant quantitative single fluorophore for error-corrected quantification. Both are embedded in 260 nm core-shell silica nanoparticles modified with molecular beacon detection probes. The FluoELs are low cytotoxic and could accurately quantify and spatially resolve nine breast-cancer-related miRNAs and evaluate their coordination. The FluoELs enabled a single-cell analysis platform to evaluate miRNA expression profiles and the molecular mechanisms underlying miRNA-associated diseases.

Anti-diabetic and gut microbiota modulation effects of sacha inchi (Plukenetia volubilis L.) leaf extract in streptozotocin-induced type 1 diabetic mice.

BACKGROUND: Sacha inchi (Plukenetia volubilis L.) tea has been used as an adjuvant treatment for diabetes in Pu'er, in the Yunnan province of China. The effects of sacha inchi tea on diabetes and the underlying mechanisms remain unknown. This study was conducted to investigate the influence of a water extract of sacha inchi (P. volubilis L.) leaves (PWE) on hypoglycemic activity and gut microbiota composition in mice with streptozotocin (STZ)-induced type 1 diabetes mellitus (T1DM). During the 6 weeks of the study, T1DM mice were administered PWE intragastrically at 400 mg kg-1 body weight (BW) per day. RESULTS: Treatment with PWE reduced excessive loss of BW and excessive intake of food. It significantly decreased blood glucose levels and improved oral glucose tolerance. The treatment caused protective histopathological transformations in sections of the pancreas, leading to decreased insulin resistance and improved insulin sensitivity. Treatment with PWE also significantly ameliorated disorders of the gut microbiota structure and increased the richness and diversity of intestinal microbial species in T1DM mice. At the genus level, the populations of several crucial bacteria, such as Akkermansia, Parabacteroides, and Muribaculum increased in the PWE treatment group but the abundance of Ruminiclostridium and Oscillibacter decreased. CONCLUSIONS: Treatment with PWE can ameliorate hyperglycemic symptoms in STZ-induced T1DM mice, and the anti-diabetic effect of PWE was related to the amelioration of gut microbial structural disorder and the enrichment of functional bacteria. © 2022 Society of Chemical Industry.