Liquid-embedded (bio)printing of alginate-free, standalone, ultrafine, and ultrathin-walled cannular structures.

While there has been considerable success in the three-dimensional bioprinting of relatively large standalone filamentous tissues, the fabrication of solid fibers with ultrafine diameters or those cannular featuring ultrathin walls remains a particular challenge. Here, an enabling strategy for (bio)printing of solid and hollow fibers whose size ranges could be facilely adjusted across a broad spectrum, is reported, using an aqueous two-phase embedded (bio)printing approach combined with specially designed cross-linking and extrusion methods. The generation of standalone, alginate-free aqueous architectures using this aqueous two-phase strategy allowed freeform patterning of aqueous bioinks, such as those composed of gelatin methacryloyl, within the immiscible aqueous support bath of poly(ethylene oxide). Our (bio)printing strategy revealed the fabrication of standalone solid or cannular structures with diameters as small as approximately 3 or 40 µm, respectively, and wall thicknesses of hollow conduits down to as thin as <5 µm. With cellular functions also demonstrated, we anticipate the methodology to serve as a platform that may satisfy the needs for the different types of potential biomedical and other applications in the future, especially those pertaining to cannular tissues of ultrasmall diameters and ultrathin walls used toward regenerative medicine and tissue model engineering.

The acquired dyad inclination and decreased interpersonal brain communication in the pursuit of collective benefit.

People perform better collectively than individually, a phenomenon known as the collective benefit. To pursue the benefit, they may learn from previous behaviors, come to know whose initial opinion should be valued, and develop the inclination to take it as the collective one. Such learning may affect interpersonal brain communication. To test these hypotheses, this study recruited participant dyads to conduct a perceptual task on which they made individual decisions first and then the collective one. The enhanced interpersonal brain synchronization (IBS) between participants was explored when individual decisions were in disagreement vs. agreement. Computational modeling revealed that participant dyads developed the dyad inclination of taking the higher-able participants', not the lower-able ones' decisions as their collective ones. Brain analyses unveiled the enhanced IBS at frontopolar areas, premotor areas, supramarginal gyri, and right temporal-parietal junctions. The premotor IBS correlated negatively with dyad inclination and collective benefit in the absence of correction. The Granger causality analyses further supported the negative relation of dyad inclination with inter-brain communication. This study highlights that dyads learn to weigh individuals' decisions, resulting in dyad inclinations, and explores associated inter-brain communication, offering insights into the dynamics of collective decision-making.

SETDB1: Progress and prospects in cancer treatment potential and inhibitor research.

SET domain bifurcated methyltransferase 1 (SETDB1) serves as a histone lysine methyltransferase, catalyzing the di- and tri-methylation of histone H3K9. Mounting evidence indicates that the abnormal expression or activity of SETDB1, either through amplification or mutation, plays a crucial role in tumorigenesis and progression. This is particularly evident in the context of tumor immune evasion and resistance to immune checkpoint blockade therapy. Furthermore, there is a robust association between SETDB1 dysregulation and an unfavorable prognosis across various types of tumors. The oncogenic role of SETDB1 primarily arises from its methyltransferase function, which contributes to the establishment of a condensed and transcriptionally inactive heterochromatin state. This results in the inactivation of genes that typically hinder cancer development and silencing of retrotransposons that could potentially trigger an immune response. These findings underscore the substantial potential for SETDB1 as an anti-tumor therapeutic target. Nevertheless, despite significant strides in recent years in tumor biology research, challenges persist in SETDB1-targeted therapy. To better facilitate the development of anti-tumor therapy targeting SETDB1, we have conducted a comprehensive review of SETDB1 in this account. We present the structure and function of SETDB1, its role in various tumors and immune regulation, as well as the advancements made in SETDB1 antagonists. Furthermore, we discuss the challenges encountered and provide perspectives for the development of SETDB1-targeted anti-tumor therapy.

Unraveling the efficacy of verbascoside in thwarting MRSA pathogenicity by targeting sortase A.

In the fight against hospital-acquired infections, the challenge posed by methicillin-resistant Staphylococcus aureus (MRSA) necessitates the development of novel treatment methods. This study focused on undermining the virulence of S. aureus, especially by targeting surface proteins crucial for bacterial adherence and evasion of the immune system. A primary aspect of our approach involves inhibiting sortase A (SrtA), a vital enzyme for attaching microbial surface components recognizing adhesive matrix molecules (MSCRAMMs) to the bacterial cell wall, thereby reducing the pathogenicity of S. aureus. Verbascoside, a phenylethanoid glycoside, was found to be an effective SrtA inhibitor in our research. Advanced fluorescence quenching and molecular docking studies revealed a specific interaction between verbascoside and SrtA, pinpointing the critical active sites involved in this interaction. This molecular interaction significantly impedes the SrtA-mediated attachment of MSCRAMMs, resulting in a substantial reduction in bacterial adhesion, invasion, and biofilm formation. The effectiveness of verbascoside has also been demonstrated in vivo, as shown by its considerable protective effects on pneumonia and Galleria mellonella (wax moth) infection models. These findings underscore the potential of verbascoside as a promising component in new antivirulence therapies for S. aureus infections. By targeting crucial virulence factors such as SrtA, agents such as verbascoside constitute a strategic and potent approach for tackling antibiotic resistance worldwide. KEY POINTS: • Verbascoside inhibits SrtA, reducing S. aureus adhesion and biofilm formation. • In vivo studies demonstrated the efficacy of verbascoside against S. aureus infections. • Targeting virulence factors such as SrtA offers new avenues against antibiotic resistance.

Development and Validation of an ADA-Tolerant Assay for Quantification of an Exatecan-Based ADC in Monkey Plasma.

BACKGROUND: The development of an anti-drug antibody (ADA)-tolerant pharmacokinetic (PK) assay is important when the drug exposure is irrelevant to toxicity in the presence of ADA. We aimed to develop and validate an ADA-tolerant assay for an exatecan-based antibody-drug conjugate (ADC) in monkey plasma. RESULTS: The assay tolerated 5.00 µg/mL of ADA at 12 µg/mL of ADC. Its accuracy and precision results satisfied the acceptance criteria. Furthermore, the assay was free from hook and matrix effects and exhibited good dilutional linearity. Additionally, the ADC in plasma samples was stable under different storage conditions. METHOD: An ADA-tolerant ADC assay was configured with an anti-payload antibody for capture, and a drug-target protein combined with a horseradish peroxidase (HRP)-labeled antibody against a drug-target-protein tag for detection. Samples were firstly acidified to dissociate drug and ADA complexes, and to convert the carboxylate form to the lactone form of exatecan molecules; then, the ADAs in the samples were removed with a naked antibody-coated microplate. The treated samples were further incubated with coated anti-payload antibody and captured ADC molecules were quantified by the detection reagent. The developed assay was optimized and validated against regulatory guidelines. CONCLUSIONS: The assay met both methodological and sample-related ADA tolerance requirements, and was applicable to a nonclinical study in cynomolgus monkeys.

An evolving view on food viscosity regulating gastric emptying.

Viscosity is a property of most foods. The consumption of the high-viscosity food is associated with a variety of physiological responses, one of which is their ability to regulate gastric emptying and modulate postprandial glycemic response. Gastric emptying has been proven to be a key step affecting the digestion and absorption of food, whereas, the relationship between viscosity and gastric emptying is still far away from being understood. Here, we reviewed the factors that influence food viscosity and food viscosity changes during digestion. Besides, the effect of food viscosity on gastric emptying and food-viscosity-physiological response were highlighted. Finally, "quantitative relationship" of viscosity and gastric emptying was discussed. This review can contribute to the understanding that how food viscosity affects gastric emptying, and help for developing foods that could control satiety and manage body weight for the specific populations.

Surgical outcomes of percutaneous endoscopic thoracic decompression in the treatment of multi-segment thoracic ossification of the ligamentum flavum.

BACKGROUND: Previous studies have demonstrated satisfactory outcomes of percutaneous endoscopic thoracic decompression (PETD) for single-segment thoracic ossification of the ligamentum flavum (TOLF). However, the clinical outcomes of PETD in patients with multi-segment TOLF (mTOLF) remain unclear. The aim of the present study was to evaluate the efficacy and safety of PETD for patients with multi-segment mTOLF. METHODS: Eighteen consecutive patients (41 segments) with mTOLF were treated with PETD between January 2020 and December 2021. The clinical outcomes were evaluated using the modified Japanese Orthopaedic Association (mJOA) score and Visual Analog Scale (VAS), whereas radiographic parameters were measured by cross-section area of the spinal canal and anteroposterior diameter of the spinal cord. RESULTS: The follow-up period ranged from 14 to 34 months. The mean operation time and blood loss were 154.06 ± 32.14 min and 61.72 ± 12.72 ml, respectively. Hospital stay after first-stage operation was 10.89 ± 2.42 days. The mJOA score and VAS score significantly improved at the final follow-up, with a mean mJOA recovery rate of 63.3 ± 21.90%. The incidence of complications was 12.2% per level. The radiographic outcomes showed adequate decompression of the spinal cord. CONCLUSIONS: The present study demonstrates that PETD is effective and safe as a minimally invasive procedure to treat patients with mTOLF. All patients showed relief of their symptoms and improvement in neurological function.

A Lightweight Intelligent Network Intrusion Detection System Using One-Class Autoencoder and Ensemble Learning for IoT.

Network intrusion detection technology is key to cybersecurity regarding the Internet of Things (IoT). The traditional intrusion detection system targeting Binary or Multi-Classification can detect known attacks, but it is difficult to resist unknown attacks (such as zero-day attacks). Unknown attacks require security experts to confirm and retrain the model, but new models do not keep up to date. This paper proposes a Lightweight Intelligent NIDS using a One-Class Bidirectional GRU Autoencoder and Ensemble Learning. It can not only accurately identify normal and abnormal data, but also identify unknown attacks as the type most similar to known attacks. First, a One-Class Classification model based on a Bidirectional GRU Autoencoder is introduced. This model is trained with normal data, and has high prediction accuracy in the case of abnormal data and unknown attack data. Second, a multi-classification recognition method based on ensemble learning is proposed. It uses Soft Voting to evaluate the results of various base classifiers, and identify unknown attacks (novelty data) as the type most similar to known attacks, so that exception classification becomes more accurate. Experiments are conducted on WSN-DS, UNSW-NB15, and KDD CUP99 datasets, and the recognition rates of the proposed models in the three datasets are raised to 97.91%, 98.92%, and 98.23% respectively. The results verify the feasibility, efficiency, and portability of the algorithm proposed in the paper.

An Adaptive Model Filtering Algorithm Based on Grubbs Test in Federated Learning.

Federated learning has been popular for its ability to train centralized models while protecting clients' data privacy. However, federated learning is highly susceptible to poisoning attacks, which can result in a decrease in model performance or even make it unusable. Most existing defense methods against poisoning attacks cannot achieve a good trade-off between robustness and training efficiency, especially on non-IID data. Therefore, this paper proposes an adaptive model filtering algorithm based on the Grubbs test in federated learning (FedGaf), which can achieve great trade-offs between robustness and efficiency against poisoning attacks. To achieve a trade-off between system robustness and efficiency, multiple child adaptive model filtering algorithms have been designed. Meanwhile, a dynamic decision mechanism based on global model accuracy is proposed to reduce additional computational costs. Finally, a global model weighted aggregation method is incorporated, which improves the convergence speed of the model. Experimental results on both IID and non-IID data show that FedGaf outperforms other Byzantine-robust aggregation rules in defending against various attack methods.

Group polarization calls for group-level brain communication.

Group of people shows the shift towards extreme of decision-making as opposed to individuals. Previous studies have revealed two directions of group polarization, i.e., risky shift and cautious shift, but how group of brains drive these shifts remains unknown. In the current study, we arranged risk advantage and disadvantage situations to elicit group polarization of risky shift and cautious shift respectively, and examined the averaged inter-brain synchronization (ABS) among participant triads during group decision making versus individual decision making. The elicited group polarizations were accompanied by the enhanced ABS at bilateral prefrontal areas and left temporoparietal junction (TPJ). Specifically, the TPJ ABS was equivalent in risky shift and cautious shift, and based on machine learning analyses, could predict the extent of group polarization; for two shifts, it negatively correlated with negative emotion. However, the right prefrontal ABS was stronger in risky shift than in cautious shift, and the same area showed the larger brain deactivation in former shift, indicating weaker executive control. For the left prefrontal ABS, only the equivalent ABS was found for two shifts. In sum, group polarization of risky shift and cautious shift calls for inter-brain communication at the group level, and the former shift is with deactivation and more brain synchronization. Our study suggests emotional and cognitive adjustment in decision making of the group compared with individuals.

Mechanisms, physiology, and recent research progress of gastric emptying.

Gastric emptying refers to a process in which the stomach discharges its contents into the small intestine to further digest and absorb nutrients. Understanding the mechanisms of gastric emptying and relationships between food and individuals is of paramount importance for the design and manufacture of novel and healthy foods. For ethical and cost reasons, in vivo tests are not always possible. In vitro digestion models therefore play a key role in current exploration of gastric emptying. This review outlines the mechanisms and physiology of gastric emptying, including calories, viscosity, composition of the food, age and gender of the individual. In addition, recent progress on in vitro static and dynamic gastric digestion models and future research trends are included in this review.

[Applying Chitosan-Modified Nanoemulsion in Nasal Vaccine Delivery].

OBJECTIVE: To prepare a chitosan-modified cationic nanoemulsion that could be used to prolong the residence time of nasal vaccines in the nasal cavity and improve the cellular uptake efficiency so as to enhance the immune efficacy of nasal vaccines. METHODS: A nanoemulsion-based vaccine coated with chitosan was prepared, and the particle size, potential, antigen encapsulation efficiency, stability as well as cytotoxicity were examined. The uptake efficiency of vaccine on different cells and the residence time of vaccine in the nasal cavity were measured. Finally, nasal vaccine was administered on mice and the antibody levels in the serum and in the nasal lavage fluids of the immunized mice were examined. RESULTS: The nanoemulsion-based vaccine had an average particle size of (167.2±0.75) nm, a polydispersity index (PDI) of 0.21±0.01, and an average potential of (13.7±0.85) mV. The encapsulation efficiency of antigen was 92.7%. The nanoemulsion-based vaccine had good stability and did not show obvious cytotoxicity in Madin-Darby canine kidney (MDCK) epithelial cells. The vaccine demonstrated relatively high cellular uptake of antigens on DC2.4 and MDCK cells at (49.7±3.45)% and (59.7±2.19)%, respectively. Besides, the cationic nanoemulsion also significantly increased the residence time of the antigen, and a considerable amount of nanoemulsion-based vaccine was found remaining in the nasal cavity 60 minutes after administration. Compared with free antigen and the nanoemulsion without chitosan modification, the chitosan-modified nanoemulsion vaccine induced higher systemic and mucosal antibody levels in mice after nasal immunization ( P<0.01). CONCLUSION: The chitosan-modified nanoemulsion vaccine prepared in the study can enhance the immune efficacy of nasal vaccines, showing great potential to be used as a delivery carrier for nasal vaccines.

The averaged inter-brain coherence between the audience and a violinist predicts the popularity of violin performance.

Why is some music well-received whereas other music is not? Previous research has indicated the close temporal dependencies of neural activity among performers and among audiences. However, it is unknown whether similar neural contingencies exist between performers and audiences. Here, we used dual near-infrared spectroscopy (NIRS) to assess whether inter-brain synchronization between violinist and audience underlies the popularity of violin performance. In the experiment, individual audience members (16 females) watched pre-recorded videos, each lasting 100 â€‹s or so, in which a violinist performed 12 musical pieces. The results showed that the popularity of the performance correlated with the left-temporal inter-brain coherence (IBC) between the audience and the violinist. The correlation was stronger at late watching (>50 â€‹s) than at early watching (≤50 â€‹s). The smaller the Granger causality from the audience to the violinist was, the higher was the popularity of the piece with the audience. Discriminant analysis showed that the IBC could distinguish high popularity from low popularity. Further analysis using support vector regression showed that the IBC could also predict the popularity. These findings reveal the association of IBC with the popularity of violin performance. Music appreciation involves the brains of music producers and perceivers in a temporally aligned network through which audiences perceive the intentions of the performer and show positive emotions related to the musical performance.

Extraction of ferulic acid and vanilla acid by hydrophobic ionic liquid 1-hexyl-3-methylimidazolium hexafluorophosphate.

The study was carried out to evaluate the extraction efficiency of ferulic acid (FA) and vanilla acid (VA) from aqueous phase into IL phase. To achieve the highest extraction efficiency, the influence of varying key parameters was evaluated and optimized by response surface methodology based on Box-Behnken design, including phase volume ratio, extraction temperature and extraction time. FA (or VA) extraction under the optimal conditions were: phase volume ratio of 1.38 (1.28), extraction temperature of 66.34 °C (49.28 °C) and extraction time of 33.83 min (36.64 min) under optimum conditions an average extraction efficiency of 97.11 ± 1.05% for FA was achieved, while VA was 85.43 ± 1.62%. This was very close to the predicted value from the model, 98.05% (86.16%). Additionally, recycling and utilization of ILs were performed well with the recovery ratio for 81.0%. Based on thermodynamic analysis, FTIR and 1H NMR analysis, the combination of hydrophobic interaction and hydrogen-bond interaction resulted in the real extraction result above. It is desirable to provide a useful reference for the separation and purification of FA, VA, and extend the potential application of ionic liquid in the separation of natural active compounds with great prospects.

Transcending antibiotic resistance: The potential of mass Galla chinensis et camelliae Fermentata to Dismantle Helicobacter pylori biofilms and enhance anti-biotic activity.

ETHNOPHARMACOLOGICAL RELEVANCE: Helicobacter pylori (H. pylori) infections are on the rise, presenting a significant global health challenge. Mass Galla chinesis et camelliae Fermentata (Chinese gall leaven, CGL), a traditional Chinese medicinal product made from the fermentation of Rhus chinensis Mill., is frequently employed to address digestive system ailments. Contemporary pharmacological research reveals that CGL exhibits anti-inflammatory, anti-diarrheal, and enzyme-inhibitory activities and holds potential as a treatment for H. pylori infections. However, the precise mechanisms underlying CGL's efficacy against H. pylori remain to be fully elucidated. AIM: The objective of the study is to evaluate CGL's ability to disrupt the H. pylori biofilm and to explore its synergistic potential with antibiotics in targeting the biofilm-efflux pump system, a mechanism implicated in bacterial resistance. METHORDS: The study determined the Minimum Inhibitory Concentration (MIC) of CGL and metronidazole against H. pylori and evaluated their effects on H. pylori biofilms using an in vitro model. Structural changes induced by drug interventions were compared to those in untreated and antibiotic-treated models through scanning electron microscopy and laser confocal microscopy. The accumulation of H33342 dye in planktonic and biofilm H. pylori before and after drug treatment was assessed to evaluate cell viability and biofilm disruption. The study also involved adding experimental drugs to a biofilm H. pylori medium containing D-glucose, measuring glucose concentrations post-intervention using the glucose oxidase method, and calculating changes in glucose uptake. Finally, the relative expression levels of several genes in planktonic and biofilm H. pylori treated with CGL alone or in combination with antibiotics were measured to understand the impact on the biofilm-efflux pump system. RESULTS: Both CGL alone and in combination with metronidazole demonstrated effective disruption of H. pylori biofilms. The combination therapy was particularly effective in reducing the biofilm transfer-enhancing effect of metronidazole and decreasing SpoT expression in the 'SpoT-(p)ppGpp' pathway, especially in biofilms. It showed a greater inhibition of the 'σ54-gluP-sugar uptake' pathway, with significant reductions in rpoN and gluP expression under biofilm conditions compared to CGL or metronidazole alone. The treatment also suppressed H. pylori proliferation and may have altered glucose uptake mechanisms. Moreover, it significantly inhibited the 'hp0939/hp0497/hp0471-RND efflux pump' pathway, with a notable reduction in gene expression compared to the 1/2 MIC metronidazole treatment. CONCLUSION: This study demonstrates that CGL effectively hinders the development of drug resistance in H. pylori by targeting biofilm formation and critical molecular pathways associated with antibiotic resistance. The synergistic effect of combining CGL with metronidazole notably enhances biofilm disruption and inhibits the bacterium's metabolic and reparative mechanisms. Further in vivo studies are needed to confirm these results and to investigate additional mechanisms of CGL's action.

Acquiring musical knowledge increases music liking: Evidence from a neurophysiological study.

People possessing musical knowledge tend to enjoy music more, but the linkage remains to be determined. Based on the shared affective motion experience model for music appreciation, we hypothesized that acquiring musical knowledge about the music itself, for example, an analytical understanding of music elements and the related emotional expressions, would increase music liking. To test the hypothesis, we asked 48 participants to learn analytical or historical information about a piece of music by watching a pre-recorded teaching video. Learners' physiological responses, such as skin conductance and heart rate, were recorded during learning. The increase of music liking was observed after both types of knowledge acquisition, but more so for analytical knowledge. Notably, acquiring analytical knowledge made learners' skin conductance more similar, indicating the alignment of physiological responses. This physiological similarity, correlated with analytical knowledge similarity, could mediate the effect of knowledge acquisition on music liking. In sum, this study reveals the impact of analytical knowledge on music enjoyment and the associated neurophysiological mechanism. It extends the theoretical framework of shared affective motion experience to explain how musical knowledge influences music appreciation.

Insights into vaccines for elderly individuals: from the impacts of immunosenescence to delivery strategies.

Immunosenescence increases the risk and severity of diseases in elderly individuals and leads to impaired vaccine-induced immunity. With aging of the global population and the emerging risk of epidemics, developing adjuvants and vaccines for elderly individuals to improve their immune protection is pivotal for healthy aging worldwide. Deepening our understanding of the role of immunosenescence in vaccine efficacy could accelerate research focused on optimizing vaccine delivery for elderly individuals. In this review, we analyzed the characteristics of immunosenescence at the cellular and molecular levels. Strategies to improve vaccination potency in elderly individuals are summarized, including increasing the antigen dose, preparing multivalent antigen vaccines, adding appropriate adjuvants, inhibiting chronic inflammation, and inhibiting immunosenescence. We hope that this review can provide a review of new findings with regards to the impacts of immunosenescence on vaccine-mediated protection and inspire the development of individualized vaccines for elderly individuals.

Microgels for Cell Delivery in Tissue Engineering and Regenerative Medicine.

Microgels prepared from natural or synthetic hydrogel materials have aroused extensive attention as multifunctional cells or drug carriers, that are promising for tissue engineering and regenerative medicine. Microgels can also be aggregated into microporous scaffolds, promoting cell infiltration and proliferation for tissue repair. This review gives an overview of recent developments in the fabrication techniques and applications of microgels. A series of conventional and novel strategies including emulsification, microfluidic, lithography, electrospray, centrifugation, gas-shearing, three-dimensional bioprinting, etc. are discussed in depth. The characteristics and applications of microgels and microgel-based scaffolds for cell culture and delivery are elaborated with an emphasis on the advantages of these carriers in cell therapy. Additionally, we expound on the ongoing and foreseeable applications and current limitations of microgels and their aggregate in the field of biomedical engineering. Through stimulating innovative ideas, the present review paves new avenues for expanding the application of microgels in cell delivery techniques.

Eliminating drug target interference with specific antibody or its F(ab')2 fragment in the bridging immunogenicity assay.

Background: DB-1003 is a humanized anti-IgE monoclonal antibody with higher affinity than omalizumab. In the affinity capture elution (ACE)-based bridging electrochemiluminescent immunoassay (ECLIA) for antibodies to DB-1003, monkey serum IgE caused false-positive results. Materials & methods: The target-specific antibody or its F(ab')2 fragment was used to mitigate drug target interference in an ACE-based bridging ECLIA for the detection of anti-DB-1003 antibodies. Results: The sensitivity of the developed assay was at least 100 ng/ml. When the anti-drug antibody concentration was 250 ng/ml, the assay tolerated at least 20.0 µg/ml of the monkey IgE. Conclusion: Incorporating the target-specific antibody or its F(ab')2 fragment can overcome the interference from monkey serum IgE in ACE-based bridging ECLIA for anti-DB-1003 antibody detection.

Characteristics of the complete chloroplast genome of Swertia divaricata Harry Sm. (Gentianaceae) and its phylogenetic inference.

Swertia divaricata Harry Sm., 1965, (Gentianaceae) is a perennial herb endemic to Northwest Yunnan, China, belonging to the species-rich genus Swertia. It possesses unique morphological features but its systematic position remains uncertain. To determine its phylogenetic placement, the complete plastid genome of S. divaricata was assembled utilizing high-throughput sequencing data. The genome is circular, spanning 152,073 bp, and comprises a large single-copy (LSC) region of 82,470 bp, a small single-copy (SSC) region of 18,153 bp, and two inverted repeats (IR) regions, each 25,725 bp. A total of 130 genes were annotated, including 85 protein-coding genes, 37 tRNA genes, and eight rRNA genes. The plastome of S. divaricata exhibits a structure and gene composition highly similar to those of other Swertia plastomes. Phylogenetic analysis indicated that S. divaricata is closely related to S. erythrosticta, sister to a subclade comprising species from sections Swertia and Apterae. The plastome sequence described herein constitutes a valuable contribution to phylogenetic and evolutionary research on Swertia.