Pyrogenic Carbon Degradation by Galvanic Coupling with Sprayed Seawater Microdroplets.

Surface waves are known for their mechanical role in coastal processes that influence the weather and climate. However, their chemical impact, particularly on the transformation of pyrogenic carbon, is poorly understood. Pyrogenic carbon is generally assumed to show negligible postformational alteration of its stable carbon isotope composition. Here we present an electrochemical interaction of pyrogenic carbon with the sprayed seawater microdroplets resulting from wave breaking, driven by the galvanic coupling between the microdroplet water-carbon interfaces and the microdroplet water-vapor interfaces. This enables refractory pyrogenic carbon to rapidly degrade via the oxygenation and mineralization reaction, which makes it ∼2.6‰ enriched in 13C, far exceeding the generally assumed postformation alteration values (<0.5‰) of pyrogenic carbon. The unique chemical dynamics of seawater microdroplets provide new insights into the discrepancy in carbon isotope signatures between riverine and marine black carbon, emphasizing the potential of coastal oceans for carbon sequestration in the global carbon cycle.

Hydrocarbon Degradation by Contact with Anoxic Water Microdroplets.

Oils are hydrophobic, but their degradation is frequently found to be accelerated in the presence of water microdroplets. The direct chemical consequences of water-oil contact have long been overlooked. We show that aqueous microdroplets in emulsified water-hexadecane (C16H34) mixtures can spontaneously produce CO2, •H, H2, and short-chain hydrocarbons (mainly C1 and C2) as detected by gas chromatography, electron paramagnetic resonance spectroscopy, and mass spectrometry. This reaction results from contact electrification at the water-oil microdroplet interface, in which reactive oxygen species are produced, such as hydrated hydroxyl radicals and hydrogen peroxide. We also find that the H2 originates from the water microdroplet and not the hydrocarbon it contacts. These observations highlight the potential of interfacial contact electrification to produce new chemistry.

The effect of hyperthyroidism on cognitive function, neuroinflammation, and necroptosis in APP/PS1 mice.

BACKGROUND: Increasing evidence has linked the thyroid dysfunction to the pathogenesis of dementia. Evidence from clinical studies has demonstrated that hypothyroidism is related to an increased risk of dementia. But the association of hyperthyroidism with dementia is largely unknown. METHODS: We used the adenovirus containing thyrotropin receptor (TSHR) amino acid residues 1-289 (Ad-TSHR289)-induced Graves' disease (GD) phenotype in Alzheimer's disease (AD) model mice (APP/PS1 mice) to evaluate the effect of hyperthyroidism on the cognitive function and ß-amyloid (Aß) accumulation. RESULTS: GD mice exhibited a stable long-term hyperthyroidism and cognitive deficits. Single Cell RNA-sequencing analysis indicated that microglia function played a critical role in the pathophysiological processes in GD mice. Neuroinflammation and polarization of microglia (M1/M2 phenotype) and activated receptor-interacting serine/threonine protein kinase 3 (RIPK3)/mixed lineage kinase domain-like pseudo-kinase (MLKL)-mediated necroptosis contributed to the pathological process, including Aß deposition and neuronal loss. RIPK3 inhibitor could inhibit GD-mediated Aß accumulation and neuronal loss. CONCLUSIONS: Our findings reveal that GD hyperthyroidism aggravates cognitive deficits in AD mice and induces Aß deposition and neuronal loss by inducing neuroinflammation and RIPK3/MLKL-mediated necroptosis.

Next-generation sequencing in the diagnosis of neurobrucellosis: a case series of eight consecutive patients.

BACKGROUND: Neurobrucellosis (NB) presents a challenge for rapid and specific diagnosis. Next-generation sequencing (NGS) of cerebrospinal fluid (CSF) has showed power in detection of causative pathogens, even some infrequent and unexpected pathogens. In this study, we presented 8 cases of NB diagnosed by the NGS of CSF. METHODS: Between August 1, 2018 and September 30, 2020, NGS was used to detect causative pathogens in clinically suspected central nervous system (CNS) infections. Data on demographics, clinical features, and laboratory tests, imaging results and NGS results were collected and reviewed. RESULTS: Among the presented 8 patients, Brucella was rapidly detected using NGS of CSF within 1-4 days, despite those eight patients had variable medical history, disease course, clinical manifestations, laboratory tests and imaging findings. NGS showed the sequence reads corresponded to Brucella species were 8 to 448, with genomic coverage of 0.02 to 0.87%. The relative abundance was 0.13% to 82.40% and sequencing depth was 1.06 to 1.24. Consequently, patients were administered with 3 to 6 months of doxycycline, ceftriaxone and rifampicin, double or triple combination, supplemented with symptomatic therapy and were fully recovered except for case 1. CONCLUSION: NGS of CSF provides a powerful tool in detection of Brucella in a prompt and specific manner, and can be considered for first-line diagnostic use in practice.

Author Correction: Chern insulators, van Hove singularities and topological flat bands in magic-angle twisted bilayer graphene.

A Correction to this paper has been published: https://doi.org/10.1038/s41563-021-00997-2.

Chern insulators, van Hove singularities and topological flat bands in magic-angle twisted bilayer graphene.

Magic-angle twisted bilayer graphene exhibits intriguing quantum phase transitions triggered by enhanced electron-electron interactions when its flat bands are partially filled. However, the phases themselves and their connection to the putative non-trivial topology of the flat bands are largely unexplored. Here we report transport measurements revealing a succession of doping-induced Lifshitz transitions that are accompanied by van Hove singularities, which facilitate the emergence of correlation-induced gaps and topologically non-trivial subbands. In the presence of a magnetic field, well-quantized Hall plateaus at a filling of 1,2,3 carriers per moiré cell reveal the subband topology and signal the emergence of Chern insulators with Chern numbers, C = 3,2,1, respectively. Surprisingly, for magnetic fields exceeding 5 T we observe a van Hove singularity at a filling of 3.5, suggesting the possibility of a fractional Chern insulator. This van Hove singularity is accompanied by a crossover from low-temperature metallic, to high-temperature insulating behaviour, characteristic of entropically driven Pomeranchuk-like transitions.

First identification of Nocardia seriolae GapA adhesion function and its three B-cell epitopes with cell-binding activity.

Fish nocardiosis mainly caused by Nocardia seriolae (N. seriolae) is a serious threat to aquaculture. Bacterial adhesion to host cells mediated by adhesin is an initial step of pathogenesis. But it is not clear whether glyceraldehyde-3-phosphate dehydrogenase (GapA) is an adhesin of N. seriolae. Here, recombinant GapA protein (rGapA) was prokaryotic expressed, and its role in the bacterial adhesion to Ctenopharyngodon idella kidney cells was investigated by indirect immunofluorescence, protein-binding assay and adhesion inhibition assay. The results showed that an obvious green fluorescence was observed on the surface of the cells co-incubated with rGapA protein; the cytomembrane proteins of the cells pretreated with rGapA could react with anti-rGapA antibody; and the antibody significantly inhibited the adhesion ability of the bacteria. Subsequently, B-cell linear epitopes of GapA protein were identified by using a immunoinformatics approach combined with peptide ELISA and Western blot for the first time. It was found that four predicted epitopes (Ep58-69 , Ep139-150 , Ep186-197 , Ep318-329 ) could all react with anti-rGapA antibody and obviously inhibit the immunoreactivity between rGapA and anti-rGapA antibody, and they were confirmed as indeed B-cell linear epitopes of the protein. Furthermore, flow cytometry analysis found the percentage of positive cells co-incubated with FITC-labelled epitope peptides (Ep139-150 , Ep186-197 , Ep318-329 ) was significantly higher than those in the FITC-labelled Ep58-69 , unrelated control peptide and cell control. Collectively, GapA is an adhesin of N. seriolae, and epitope peptides (Ep139-150 , Ep186-197 , Ep318-329 ) possess cell-binding activity, which are potential candidates for developing a multiple epitopes-based adhesin vaccine against fish nocardiosis.

Phenolic Contents, Organic Acids, and the Antioxidant and Bio Activity of Wild Medicinal Berberis Plants- as Sustainable Sources of Functional Food.

Wild fruits have increasingly been investigated as part of recent searches for food products with a high antioxidant activity. In this study, wild edible berberis Berberis vulgaris collected from three different provinces (Jilin, Heilongjiang, and Liaoning) were investigated for their phenolic contents, organic acid contents, mineral contents, antioxidant activity as well as their antimicrobial potential against a range of common food borne pathogens. In addition, a physiochemical and mineral analysis of the fruits was also performed. The methanol extracts of berberis fruit collected from Jilin province were highly active against all the studied food borne bacterial pathogens, i.e., S. aureus and L. monocytogenes, E. coli, P. fluorescens, V. parahaemolyticus, and A. caviae while the berberis extracts from Heilongjiang and Liaoning showed activity only against Gram-negative bacteria. The phenolic content and antioxidant activity were determined by the HPLC separation method and ß-carotene bleaching methods, respectively. Four organic acids such as malic acid, citric acid, tartaric acid, and succinic acid were identified while a variety of phenolic compounds were detected among which catechin, chlorogenic acid, and gallic acid were found to be the predominant phenolic compounds in all three of berberis fruit samples. The berberis fruit from Jilin was found to be superior to the Heilongjiang and Liaoning fruit regarding desired physiochemical analysis; however, there were no significant differences in the mineral contents among the three samples. Overall, the berberis fruit from Jilin was ranked as the best in term of the nutritional, physiochemical, antimicrobial, and antioxidant properties. This study confirms the various useful characteristics and features of berberis at a molecular level that can be used as a sustainable source for their potential nutritional applications for making functional foods in different food industries.

Impact analysis of COVID-19 pandemic on the future green power sector: A case study in the Netherlands.

The outbreak of the COVID-19 pandemic has brought significant changes to the power sector. This study proposes general and coherent methodological steps to explore the future impact of lockdown measures on the power sector. In a case study from the Netherlands, two lockdown levels were defined and simulated to identify the influence of the pandemic upon the sector. Moreover, four renewable scenarios were developed to represent the green transition of the Netherlands' power sector up to 2035. For this future power sector, the results show that the green transition can achieve a reduction of 65% in CO2 emissions and 20% in power sector cost. Under the implementation of a simulated lockdown level, electricity demand decreased by 6.3% under Level 1 and 11.9% under Level 2 in 2035. The influences of lockdowns on future power sectors differ with respect to scenario. In addition, Lockdown Level 1 leads to a reduction of 8-12% in emissions and a reduction of 6-8% in cost, and Lockdown Level 2 expands this reduction to 15-21% in emissions and 11-13% in cost. The findings of this exploratory study can elucidate what may happen in the future green power sector if such event arises.

Solid waste shape description and generation based on spherical harmonics and probability density function.

Transport and separation processes of solid waste can only be modelled successfully with discrete element methods in case the shape of the particles can be described accurately. The existing techniques for morphological data acquisition, such as computed tomography, laser scanning technique, optical interferometer, stereo photography and structured light technique, are laborious and require a large amount of realistic solid waste samples. Therefore, there is a pressing need for an alternative method to describe the shape of solid waste particles and to generate multiple variations of particles with almost similar shapes. In this paper, a new method to describe solid waste particles is proposed that is frequency-based and uses spherical harmonics (SHs). Additionally, a new shape generation method is introduced that uses the shape description of a single particle to generate an array of related shapes based on a probability density function with a dimensionless control factor η. The newly proposed methods were successfully applied to describe the complex shapes of pieces of metal and plastic scrap. The shapes of these pieces of scrap can be described adequately with 15° of SH expansion and the overall divergence is within 0.1 mm. Five different values for η were tested, which generated shapes with the same distribution as the original particle. Rising levels of η cause the morphological variation of the generated particles to increase. These new methods improve the modelling of transportation and separation processes.

A robust identification method for nonferrous metal scraps based on deep learning and superpixel optimization.

End-of-life vehicles (ELVs) provide a particularly potent source of supply for metals. Hence, the recycling and sorting techniques for ferrous and nonferrous metal scraps from ELVs significantly increase metal resource utilization. However, different kinds of nonferrous metal scraps, such as aluminium (Al) and copper (Cu), are not further automatically classified due to the lack of proper techniques. The purpose of this study is to propose an identification method for different nonferrous metal scraps, facilitate the further separation of nonferrous metal scraps, achieve better management of recycled metal resources and increase sustainability. A convolutional neural network (CNN) and SEEDS (superpixels extracted via energy-driven sampling) were adopted in this study. To build the classifier, 80 training images of randomly chosen Al and Cu scraps were taken, and some practical methods were proposed, including training patch generation with SEEDS, image data augmentation and automatic labelling methods for enormous training data. To obtain more accurate results, SEEDS was also used to optimize the coarse results obtained from the pretrained CNN model. Five indicators were adopted to evaluate the final identification results. Furthermore, 15 test samples concerning different classification environments were tested through the proposed model, and it performed well under all of the employed evaluation indexes, with an average precision of 0.98. The results demonstrate that the proposed model is robust for metal scrap identification, which can be expanded to a complex industrial environment, and it presents new possibilities for highly accurate automatic nonferrous metal scrap classification.

Analysis of lipid adsorption on nanoparticles by nanoflow liquid chromatography-tandem mass spectrometry.

Nanoparticles (NPs) tend to adsorb matrix molecules like proteins and lipids incubated with biological fluids, forming a biological corona. While the formation and functions of protein corona have been studied extensively, little attention has been paid to lipid adsorption on NPs. However, lipids are also abundantly present in biological fluids and play important roles in processes like cell signaling and angiogenesis. Therefore, in this study, we established the analytical procedure for study of lipid adsorption on three different types of NPs in two matrices: human serum and heavy cream, using nanoflow liquid chromatography-mass spectrometry (nanoflowLC-MS). Serum was chosen to represent the common environment the NPs would be present once entering human body, and heavy cream was the representative food matrix NPs may be added to improve the color or taste. Steps of liquid-liquid extraction were established and optimized to achieve maximum recovery of the adsorbed, standard lipids from the NPs. Then, the LC-MS/MS method was developed to attain base-line separation of the standard lipids that represent the major lipid classes. At last, the lipid adsorption profiles of the three NPs were compared. We found that the lipid adsorption profile on the same type of NP was significantly different between the two matrices. The established method will help us investigate lipid adsorption on additional NPs and reveal how it could be affected by the physiochemical properties of NPs and the presence of proteins and other components in the biological matrix.

Mussel-inspired 3D fiber scaffolds for heart-on-a-chip toxicity studies of engineered nanomaterials.

Due to the unique physicochemical properties exhibited by materials with nanoscale dimensions, there is currently a continuous increase in the number of engineered nanomaterials (ENMs) used in consumer goods. However, several reports associate ENM exposure to negative health outcomes such as cardiovascular diseases. Therefore, understanding the pathological consequences of ENM exposure represents an important challenge, requiring model systems that can provide mechanistic insights across different levels of ENM-based toxicity. To achieve this, we developed a mussel-inspired 3D microphysiological system (MPS) to measure cardiac contractility in the presence of ENMs. While multiple cardiac MPS have been reported as alternatives to in vivo testing, most systems only partially recapitulate the native extracellular matrix (ECM) structure. Here, we show how adhesive and aligned polydopamine (PDA)/polycaprolactone (PCL) nanofiber can be used to emulate the 3D native ECM environment of the myocardium. Such nanofiber scaffolds can support the formation of anisotropic and contractile muscular tissues. By integrating these fibers in a cardiac MPS, we assessed the effects of TiO2 and Ag nanoparticles on the contractile function of cardiac tissues. We found that these ENMs decrease the contractile function of cardiac tissues through structural damage to tissue architecture. Furthermore, the MPS with embedded sensors herein presents a way to non-invasively monitor the effects of ENM on cardiac tissue contractility at different time points. These results demonstrate the utility of our MPS as an analytical platform for understanding the functional impacts of ENMs while providing a biomimetic microenvironment to in vitro cardiac tissue samples. Graphical Abstract Heart-on-a-chip integrated with mussel-inspired fiber scaffolds for a high-throughput toxicological assessment of engineered nanomaterials.

Development of high throughput, high precision synthesis platforms and characterization methodologies for toxicological studies of nanocellulose.

Cellulose is one of the most abundant natural polymers, is readily available, biodegradable, and inexpensive. Recently, interest is growing around nanoscale cellulose due to the sustainability of these materials, the novel properties, and the overall low environmental impact. The rapid expansion of nanocellulose uses in various applications makes the study of the toxicological properties of these materials of great importance to public health regulators. However, most of the current toxicological studies are highly conflicting, inconclusive, and contradictory. The major reasons for these discrepancies are the lack of standardized methods to produce industry-relevant reference nanocellulose and relevant characterization that will expand beyond the traditional cellulose characterization for applications. In order to address these issues, industry-relevant synthesis platforms were developed to produce nanocellulose of controlled properties that can be used as reference materials in toxicological studies. Herein, two types of nanocellulose were synthesized, cellulose nanofibrils (CNF) and cellulose nanocrystals (CNC) using the friction grinding platform and an acid hydrolysis approach respectively. The nanocellulose structures were characterized extensively regarding their physicochemical properties, including testing for endotoxins and bacteria contamination.

Whole leg compression garments influence lower limb kinematics and associated muscle synergies during running.

The utilization of compression garments (CGs) has demonstrated the potential to improve athletic performance; however, the specific mechanisms underlying this enhancement remain a subject of further investigation. This study aimed to examine the impact of CGs on running mechanics and muscle synergies from a neuromuscular control perspective. Twelve adult males ran on a treadmill at 12 km/h, while data pertaining to lower limb kinematics, kinetics, and electromyography were collected under two clothing conditions: whole leg compression garments and control. The Non-negative matrix factorization algorithm was employed to extract muscle synergy during running, subsequently followed by cluster analysis and correlation analysis. The findings revealed that the CGs increased knee extension and reduced hip flexion at foot strike compared with the control condition. Moreover, CGs were found to enhance stance-phase peak knee extension, while diminishing hip flexion and maximal hip extension during the stance-phase, and the ankle kinematics remained unaltered. We extracted and classified six synergies (SYN1-6) during running and found that only five SYNs were observed after wearing CGs. CGs altered the structure of the synergies and changed muscle activation weights and durations. The current study is the first to apply muscle synergy to discuss the effect of CGs on running biomechanics. Our findings provide neuromuscular evidence for the idea of previous studies that CGs alter the coordination of muscle groups, thereby affecting kinematic characteristics during running.

Next-generation sequencing for the diagnosis of Listeria monocytogenes meningoencephalitis: a case series of five consecutive patients.

Introduction. The prompt and specific diagnosis of Listeria monocytogenes meningoencephalitis (LMM) is challenging. Next-generation sequencing (NGS) of cerebrospinal fluid (CSF) is an emerging technique for diagnosing infrequent causative pathogens.Hypothesis/Gap statement. We hypothesized that NGS of CSF is an effective approach for diagnosing LMM.Aim. To evaluate the effectiveness of NGS, we present five cases of LMM diagnosed using NGS of the CSF.Methodology. Between August 2017 and 30 September 2020, we used NGS of the CSF to detect pathogens in patients with clinically suspected central nervous system infections. The clinical characteristics, laboratory tests, imaging findings and NGS results are reviewed.Results. Five patients were diagnosed with LMM using NGS of the CSF within 2 to 4 days, although the clinical manifestations, medical history and imaging findings varied strikingly. NGS of CSF showed sequence reads corresponding to L. monocytogenes species ranging from 118 to 1997 bp, genomic coverage of 0.29-5.96 %, relative abundance of 14.83-32.16 % and sequencing depth of 1.12 to 1.35. The prompt diagnosis resulted in targeted and effective treatment with the appropriate antibiotics, although two patients with the most severe cerebral parenchymal lesions showed little improvement.Conclusion. Our results demonstrate the power of NGS of CSF for the prompt diagnosis of LMM. NGS of CSF is an important complementary tool for identifying L. monocytogenes.

The effect of G0S2 on insulin sensitivity: A proteomic analysis in a G0S2-overexpressed high-fat diet mouse model.

Background: Previous research has shown a tight relationship between the G0/G1 switch gene 2 (G0S2) and metabolic diseases such as non-alcoholic fatty liver disease (NAFLD) and obesity and diabetes, and insulin resistance has been shown as the major risk factor for both NAFLD and T2DM. However, the mechanisms underlying the relationship between G0S2 and insulin resistance remain incompletely understood. Our study aimed to confirm the effect of G0S2 on insulin resistance, and determine whether the insulin resistance in mice fed a high-fat diet (HFD) results from G0S2 elevation. Methods: In this study, we extracted livers from mice that consumed HFD and received tail vein injections of AD-G0S2/Ad-LacZ, and performed a proteomics analysis. Results: Proteomic analysis revealed that there was a total of 125 differentially expressed proteins (DEPs) (56 increased and 69 decreased proteins) among the identified 3583 proteins. Functional enrichment analysis revealed that four insulin signaling pathway-associated proteins were significantly upregulated and five insulin signaling pathway -associated proteins were significantly downregulated. Conclusion: These findings show that the DEPs, which were associated with insulin resistance, are generally consistent with enhanced insulin resistance in G0S2 overexpression mice. Collectively, this study demonstrates that G0S2 may be a potential target gene for the treatment of obesity, NAFLD, and diabetes.

Spectral properties and self-reduction of Eu3+ to Eu2+ in aluminosilicate oxyfluoride glass.

Eu-doped aluminosilicate oxyfluoride glass prepared via a melt-quenching method was investigated using X-ray diffraction, absorption spectroscopy, X-ray fluorescence spectrometry, photoluminescence spectroscopy and fluorescence decay curves. We found that the reduction of Eu3+ to Eu2+ ions occurred in the glass prepared in air. The emission spectra showed that the intensity of 4f65d → 4f7 transition of Eu2+ ions varied with increasing incident beam wavelength. Meanwhile, the fluorescence lifetimes of Eu3+: 5D0 → 7F2 monitored at 617 nm in the glass change with the variation of excitation wavelength. The energy transfer between Eu2+ and Eu3+ and the emission mechanisms of Eu2+ ions in the glass were also discussed.

Efficacy of Qingfei Paidu Granules combined with non-drug traditional Chinese medicine therapy in the treatment of patients with asymptomatic coronavirus disease: A retrospective study.

The aim of this study was to retrospectively analyze the clinical efficacy and safety of Qingfei Paidu granules (QFPG) combined with non-drug therapy of traditional Chinese medicine (TCM) in treating patients with asymptomatic coronavirus disease 2019 (COVID-2019). A total of 450 patients admitted to the wards of Chongming Changxing Island isolation site from April 1 to 18, 2022 were retrospectively analyzed and divided into 3 groups according to the treatment that they received. W1 was not treated (control group), and W2 was given QFPG (TCM treatment), W3 (TCM combined with TCM non-drug therapy) was treated with QFPG, five-element music therapy and Gong. We retrospectively analyzed the medical history data, including general information, time of first turning negative, length of hospital stays, number of cases classified as mild or ordinary, number of cases with adverse events/adverse reactions. The conversion to negative time of the 3 groups was 6.50, 4.40, and 3.81 days, respectively, and there were significant differences among the 3 groups (P < .001). The hospital duration in the 3 groups was 8.45, 5.72, and 5.53 days, respectively, and there were significant differences among the 3 groups (P < .001). The number of adverse events W1 (5/150, 3.3%), W2 (8/150, 5.3%), and W3 (4/150, 2.7%) was consistent among the 3 groups (P > .05). QFPG with TCM non-drug therapy is effective in patients with asymptomatic COVID-2019, which can effectively shorten the time to double negative and reduce the proportion of patients with mild disease.

Effect of herbal medicine compound promotes beta cell function among type 2 diabetes (T2D) adults: A randomized controlled clinical trial.

Background: Herbal medicine as complementary ways are needed for patients who refuse to take medicine for life. Early intervention and lifestyle could delay the time of taking drugs. Objective: To assess the efficacy of XiaokeGranules vs Sitagliptin in patients who diagnosed T2D. Methods: This is a randomized, double-blind trial. T2D patients were randomly assigned in a 1:1 ratio to Xiaoke Granules and Sitagliptin(50 mg), an anti-diabetic medicine group, for 12 weeks. Before randomization, the consenting participants were subjected to 2 weeks of screening, followed by twelve weeks of intervention. The primary outcome was change from baseline in glycosylated haemoglobin (HbA1C) and homeostasis model assessment-estimated insulin resistance (HOMA-IR) calculation at 12 week. Results: We recruited 103 patients, 84 patients participated in the clinical trial and finally 79 patients finished., the least square mean change in HbA1c and HOMA-IR from baseline was similar in both groups, in which HbA1c (6.93 ± 0.76, P = 0.007) and 2hPG (10.87 ± 2.20, P = 0.016) for the Control group, and HbA1c (6.76 ± 0.67, P < 0.001) and 2hPG (10.52 ± 2.46, P = 0.019). Conclusions: This study revealed that the herbal medicine Xiaoke Granules provides effective glycaemic control with similar safety and immunogenicity profile to Sitagliptin among T2D patients treated for 12 weeks. This study strongly suggests further studies and utilization of Xiaoke Granules usage for controlling hyperglycemia among T2D patients. Trial registration: ClinicalTrials: ChiCTR1900026782.