Gut microbial communities have critical effects on the homeostasis and disease states of animals. Currently, the most well studied portion of the gut microbiome is the bacteriome, which is the collective taxa of bacteria that inhabit the gut. Health-related outcomes influenced by the gut bacteriome are in part a product of bidirectional communication between bacteria and host via endocrine axes such as the hypothalamo-pituitary adrenal (HPA) and gonadal axes (HPG). Measuring these relationships in wild alloprimates offers a novel method for monitoring the physiological outcomes of ecological interactions with potential evolutionary significance. Herein, we examined interactions across the HPA, HPG, and hypothalamo-pituitary thyroid (HPT) axes, and the fecal bacterial communities of wild mantled howler monkeys (Alouatta palliata) of Barro Colorado Island, Panama. Using fecal samples (n = 88), we measured fecal estrogens (fE), fecal androgens (fT), fecal glucocorticoids (fGCs), and fecal thyroid hormone metabolites (fT3) and sequenced bacterial taxa (n = 55). Bacterial communities were classified from the phylum to amplicon sequence variant (ASV) level. We found that alpha diversity of gut bacteria in female howlers was related to an interaction between fGCs and fE. There was no such interaction with fT. Beta diversity in female howlers was partially explained by fGCs levels and group affiliation. In males, we found that fGCs were inversely correlated with Shannon diversity at the ASV level. Future research should examine these relationships over time, with the goal of exploring how short and long term perturbances influence gut bacteria-hormone relationships in wild and captive animals.

Electromyography (EMG) signals are widely used in human motion recognition and medical rehabilitation, yet their variability and susceptibility to noise significantly limit the reliability of myoelectric control systems. Existing recognition algorithms often fail to handle unfamiliar actions effectively, leading to system instability and errors. This paper proposes a novel framework based on Generative Adversarial Networks (GANs) to enhance the robustness and usability of myoelectric control systems by enabling open-set recognition. The method incorporates a GAN-based discriminator to identify and reject unknown actions, maintaining system stability by preventing misclassifications. Experimental evaluations on publicly available and self-collected datasets demonstrate a recognition accuracy of 97.6% for known actions and a 23.6% improvement in Active Error Rate (AER) after rejecting unknown actions. The proposed approach is computationally efficient and suitable for deployment on edge devices, making it practical for real-world applications.

Abstract Metabolic dysfunction-associated steatohepatitis (MASH), the progressed period of metabolic-associated fatty liver disease (MAFLD), is a multifaceted liver disease characterized by inflammation and fibrosis that develops from simple steatosis, even contributing to hepatocellular carcinoma and death. MASH involves several immune cell-mediated inflammation and fibrosis, where T cells play a crucial role through the release of pro-inflammatory cytokine and pro-fibrotic factors. This review discusses the complex role of various T cell subsets in the pathogenesis of MASH and highlights the progresses of ongoing clinical trials involving T cell-targeted MASH therapies.

The efficacy of photovoltaic (PV) systems significantly depends on optimizing power extraction under diverse environmental circumstances. The examination of Maximum PowerPoint Tracking (MPPT) approaches, particularly those utilizing soft computing (SC), is essential. They provide adaptability and accuracy for nonlinear situations such as partial shade and swift variations in irradiance. This article evaluates and contrasts SC-based MPPT methodologies, encompassing Fuzzy Logic Control (FLC), Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Evolutionary Algorithms (EA), emphasizing their distinct characteristics, benefits, and drawbacks.

Plant-microbe interactions are critical to ecosystem functioning and result in soil legacies, where plants influence the soil in which they grow affecting the fitness of future generations. Soil legacies are driven in part by the two-step selection process, where soil microbes are recruited from bulk soil into rhizospheres (space around roots) and then into endospheres (within plant roots). However, the potential of these soil legacies to provide host plant drought tolerance is poorly understood. In a drought stress greenhouse trial, we show that arid soil legacies increased the biomass under both drought and control conditions of the keystone grass Themeda triandra. We report strong positive associations between T. triandra biomass and bacterial alpha diversity across soils, rhizospheres and endospheres. These findings show that bacterial soil legacies have an important but underappreciated role in grassland resilience to drought, and could be better harnessed to support resilient grassland restoration efforts.

This study investigates the use of machine learning to distinguish between lung cancer patients and healthy individuals by analyzing the chemical composition of serum samples via Raman spectroscopy. Sera samples from confirmed lung cancer patients alongside with control samples from healthy individuals were collected. Notable spectral differences were observed at different Raman shifts between the cancerous and healthy samples. Dimensionality reduction was performed using Principal Component Analysis (PCA), and the biochemical variations were analyzed using an advanced ensemble learning method—specifically, the Extreme Gradient Boosting (XGBoost) algorithm. The model’s predictions were validated through cross-checking with the K-Nearest Neighbors (KNN) algorithm. The XGBoost model, evaluated through 10-fold cross-validation, outperformed KNN, achieving 97% accuracy, 98% sensitivity, and a precision and specificity of 96%. These results highlight the potential of Raman spectroscopy combined with machine learning as an effective, non-invasive tool for early detection and screening of lung cancer.

It’s hard to accurately consider various operating factors for the traditional single event transient (SET) SPICE modeling. This paper proposes a novel method based on neural network. The proposed method can unify the intricate data correlations among drain voltage, linear energy transfer (LET), temperature, strike position, time, and drain transient current in a single model with high accuracy. Technology computer aided design (TCAD) simulation is used to get the original SET data for training. The genetic algorithm (GA) optimized back propagation (BP) neural network established herein has a root mean square error (RMSE) of less than 2.0042%. This optimized neural network is converted to SET current SPICE model through Verilog-A language and its practicality has been verified through circuit simulation of a two-input NAND gate.

[Objective] To investigate the current status of psychological resilience and its influencing factors in elderly patients with osteoporotic vertebral compression fractures. [Methods] A total of 61 elderly patients with osteoporotic vertebral compression fractures,receiving medical bone metabolism treatment at the endocrinology department of a tertiary hospital from April to May 2024,were selected. A self-designed questionnaire was used to collect general data,Connor-Davidson Resilience Scale,Pittsburgh Sleep Quality Index,Social Support Rating Scale, Barthel Index, and Visual Analog Scale data to assess psychological resilience. Multiple linear regression was used to analyze the influencing factors. [Results] The psychological resilience level of elderly patients with osteoporotic vertebral compression fractures was 63 (46,74). Univariate analysis showed statistically significant differences in psychological resilience based on education level,occupational status,per capita monthly income,caregiving situation,self-care ability,pain level,fracture condition, and social support level (P<0.05). Spearman correlation analysis indicated a positive correlation between psychological resilience and social support level (P<0.05). Multiple linear regression analysis revealed that education level (β=9.175,P<0.001) and social support (β=0.525,P<0.001) were independent influencing factors of psychological resilience. [Conclusion] The psychological resilience level of elderly patients with osteoporotic vertebral compression fractures is relatively low. Clinical work should emphasize psychological counseling and health guidance, particularly for patients with lower education levels and poorer social support,to enhance their coping beliefs and promote disease recovery.

Background There is a growing body of literature that recognizes the significant impact of COVID-19 on mental health. Over the past two years, studies have provided important information about individuals’ well-being in different countries. Nonetheless, most of the existing literature has focused on the first months of the pandemic. Aims This study explores the longitudinal course of various mental health factors and coping behaviors during the pandemic of coronavirus in Greece across three assessment waves within six month-interval. Methods The participants of the study were 92 and completed the survey online. Symptoms of adjustment disorder, depression, anxiety and poor well-being were examined as well as resilience and pandemic-related coping behaviors. Gender differences were also investigated. Results Overall, the findings indicated that the participants’ mental health was most affected during the second assessment wave (April to June 2021) and less during the third assessment wave (October 2021). Some shifts to coping strategies were also noticed. Conclusions The implications of the results are discussed in light of designing well-structured future policies.

Due to excessive use of tobacco, oral and maxillofacial diseases are prevalent in Pakistan. This paper presents a deep learning-based approach for the accurate diagnosis of oral diseases, specifically focusing on mouth ulcers, hypodontia, and dental caries, using RGB images. Unlike previous studies that primarily utilize X-ray images, this research uses a diverse dataset of over 6,000 annotated RGB images. The methodology involves training and evaluating three models including VGG16, MobileNet, and InceptionV3 for individual disease classification. The models achieve high validation accuracies ranging from 90% to 95%. The weighted ensemble model, combining the predictions of the three models, is also implemented which resulted in an improved accuracy of 97%. The proposed methodology demonstrates the potential of deep learning in enhancing the precision and effectiveness of oral disease diagnosis, enabling timely intervention, and optimizing patient care. Future work could focus on expanding the dataset size to further improve the model's accuracy.

Background and Purpose: Probiotics and their metabolites play a critical role in immunotherapy for colorectal cancer (CRC) and intestinal damage. This study aims to investigate the therapeutic potential of ginseng polysaccharides (GPS) in inhibiting colorectal tumorigenesis, find the key probiotics, and uncover the underlying mechanisms. Experimental Approach: We investigated the effects of GPS on tumorigenesis in AOM/DSS-induced and MC38-induced CRC models. GPS-related probiotic Lachnospiraceae bacterium (L.B.) was determined by 16S rRNA sequencing and its functions of antitumor and immunoregulation were further in substantiated two CRC models. Key Results: GPS significantly ameliorates colorectal tumorigenesis and microbial dysregulation. Mechanistically, GPS supplementation promoted the proliferation of beneficial Lachnospiraceae bacterium (L.B.), leading to increased short-chain fatty acids (SCFAs) production. The effective anti-CRC effects of key probiotics were further substantiated by their ability to inhibit myeloid-derived suppressor cells (MDSCs) and enhance the infiltration and activation of CD8+ T cells. Conclusion and Implications: These findings highlight the pivotal role of GPS-induced alterations in the potential probiotics L.B. production in CRC suppression, emphasizing the potential of GPS in immune regulation for microbiome-targeted cancer therapies.

Objective: The study aimed to assess the effect of the human papillomavirus 9-valent (9vHPV) vaccine after surgical excision through loop electrosurgical excision procedure (LEEP) or laser ablation in women with cervical intraepithelial neoplasia compared to ablation procedures alone. Methods: We enrolled 326 women in our single-center, retrospective, observational, study. The selected patients aged 18 to 65 years old and underwent surgical treatment of LEEP/laser ablation for CIN1/CIN2-3 between 2020 and 2024 were divided into two groups: vaccinated (V) and non-vaccinated (NV) patients with either low-grade (CIN1) or high-grade (CIN2-3) HPV-related cervical lesions, to assess the effects of vaccination 6-15 months after treatment. HPV test result and colposcopy data were analyzed to assess the effect of adjuvant HPV vaccination. Results: The vaccinated group (V) included 222 women (68%), while the unvaccinated group (NV) 104 (32%). The HPV infection rate (%) in the low-risk (CIN1) group was 38% in the NV group compared to 18% in the V group (p = 0.0169). In the high-risk group (CIN2-3), the infection rate was 18% in the NV group while 8% in the V group (p = 0.0353). The HPV infection rate (%) was higher in the NV groups, and therefore, vaccination had a statistically significant effect (p = 0.05) on the infections (%) in our follow-up. Conclusion: Human papillomavirus 9-valent vaccine presetend a significant role in viral clearance of women treated for HPV cervical lesions: in our cohort, vaccination had been a positive factor for the reduction of HPV infections compared to NV groups.

Objective To evaluate the type, frequency, and criteria for episiotomy performed by obstetricians in Brazil and assess differences in practice by generation or workplace. Design Cross-sectional study. Setting Data collection via an online platform. Population or Sample The study included 488 obstetrician-gynecologists practicing obstetrics in Brazil. Methods Data were collected using an online form and organized into tables for analysis. Descriptive and inferential statistics were performed to identify trends and associations. Main Outcome Measures Frequency and type of episiotomy, criteria for performance, and differences by age, generation, or workplace. Results Among 488 participants, most were female, aged 31–50 years, graduates from public universities, and employed in both public and private healthcare systems. In the sample, 36.3% reported performing episiotomies occasionally, with the mediolateral type being the most common. Older doctors were more likely to perform episiotomies than younger doctors. The main indications included instrumental birth, imminent perineal laceration, fetal distress, macrosomia, and abnormal presentation. Professionals working solely in private healthcare reported higher frequencies of episiotomy use compared to those in public or mixed systems. Doctors trained before 2000 were significantly more likely to perform episiotomies, with an odds ratio of 12.43 (CI 5.90–26.19, p<0.001), indicating a 1243% higher likelihood of performing the procedure. Conclusions Episiotomy rates are decreasing in Brazil, with younger obstetricians performing the procedure less frequently. Future training should prioritize teaching proper techniques and indications to ensure effective and safe outcomes, reducing the risk of severe perineal trauma and adverse neonatal outcomes.

The evolution of county-level land use has a significant impact on the sustainable development of regional ecological and economic systems. This study employs land use indicators and ecological-economic assessment methods to deeply analyze the impact of land use changes in Wulong District on the value of ecosystem services and socioeconomic output (GDP). The research findings indicate that from 2011 to 2020, land use in Wulong District primarily shifted towards forest land, urban and industrial land, and transportation land, with cultivated land and unused land being the main targets of conversion. By 2020, the ecosystem service value of the region had increased to 93.077 billion yuan, an increase of 6.468 billion yuan compared to 2011; among these, the ecosystem service values of forest land, cultivated land, and water bodies accounted for 98% of the total value, despite a decrease of 10.17% and 1.1% in the value of food production and waste processing services, respectively. The growth rate of per capita ecological service value reached 161.43%, while the growth rate of per capita GDP was 8.51%, showing that the diversity of ecosystem service value composition is lower than that of GDP composition. Looking forward, it is recommended to continue to strengthen and enhance the service functions of forest ecosystems, while also emphasizing the improvement of service functions of cultivated land and wetland ecosystems, in order to enhance the overall ecosystem service value and promote the harmonious development of ecological and economic systems.

The volcanic activity of Jupiter's moon Io is driven by the heat generated by tidal deformation induced by its orbital resonance with Europa and Ganymede. The question of whether tidal dissipation primarily occurs in a partially molten solid layer ("magmatic sponge'') or in a hypothetical liquid magma ocean has long been a subject of debate. One way to answer this question is to measure the \(k_2\) Love number, characterizing the gravitational response of the body to tidal forcing. Previous modeling studies have shown that \(k_2 \leq 0.1\) if Io's silicate interior is solid. It has been suggested that \(k_2 \gtrsim 0.5\) if Io has a magma ocean but, to date, there has been no systematic study focusing on how much  \(k_2\) can be affected by the presence of a liquid layer in Io's interior. Here we address this issue by solving the Navier-Stokes equations in the magma ocean and the standard equations governing the viscoelastic deformation in the rest of the mantle. Our results indicate that, in the presence of a magma ocean, \(k_2\) can strongly vary depending on three parameters: the depth of the ocean below the surface, \(l\), the thickness of the fluid layer, \(d\), and the viscosity of the magma, \(\eta\). Varying \(l\), \(d\), and \(\eta\) in the range of 50-200 km, 0.1-20 km, and \(10^2\)- \(10^7\)Pa s, respectively, and considering only the models with a dissipation power of about 100 TW, we find that \(k_2\) can be either less than 0.1 (thus about the same as for the model without a magma ocean) or greater than 0.2. The first branch of the solution      (\(0.05 \leq k_2 \leq 0.1\)) is typical of models with \( d < 1\) km and is almost independent of parameters \(l\) and \(\eta\), while the second branch (\(0.2\leq k_2 \leq 1\)) corresponds to models with \(d > 1\) km and is sensitive to the depth of the magma ocean. The tidal response in the second branch can be affected by the Coriolis effect. As a consequence, \(k_2\) may depend on the harmonic order, with the Love numbers of order 2 being significantly larger than those of order 0.   

The number of seedlings per hill and plant spacing are critical determinants of high-yield rice (Oryza sativa L.) crops, yet their specific impacts remain unclear. This study examined four rice varieties in a two-year field experiment in Nanning and Yulin, Guangxi, using direct seeding and transplanting methods with a baseline seedling density of 60×10 4 ha -1. Biomass, nitrogen, and organic carbon accumulation in different plant organs were measured at maturity. The experimental location and season were treated as random effects, while planting methods, varieties, and seedlings per hill (spacing) were fixed effects. Linear models, linear mixed-effects models, ridge regression, and structural equation modeling were employed to assess the influence of seedling per hill and spacing on rice growth, biomass distribution, nitrogen and carbon accumulation, and yield. Results showed that increasing seedlings per hill and plant spacing reduced yield and above-ground biomass but increased the harvest index (HI). Single seedlings with narrow spacing produced the highest yield (7.27 t ha -1), above-ground biomass (16.4 t ha -1), and the lowest HI (0.46). Seedling number per hill and plant spacing negatively affected tiller count, effective panicles, leaf area index, and nutrient accumulation, while positively influencing specific leaf area and panicle biomass allocation. Organic carbon accumulation (40.04%) and nitrogen accumulation (22.34%) were major contributors to yield variation, with organic carbon alone explaining 50.9% of HI variation. Path analysis indicated that 96% of yield variance was accounted for, highlighting the importance of panicle biomass, organic carbon accumulation, and the source-sink balance between stems and panicles. In conclusion, single seedlings with narrow spacing optimize source-sink dynamics, enhancing biomass production and yield by compensating for lower material conversion efficiency.

Vehicle-mounted equipment can experience significant movement under transient shock loads, which may lead to fractures and failures, posing safety risks during transportation. To investigate the fracture causes of the vehicle-mounted display control console’s surface, a finite element method (FEM) simulation was performed on the structure of the console under shock load conditions. By comparing the actual fracture images of the console’s surface with the FEM analysis results, the cause of bolt fractures during the transportation process was identified, and the correctness of the console model and simulation results was verified. To address the aforementioned issue, this study applied topology optimization design theory to optimize the console structure. The optimization method not only enhanced the structural strength, ensuring the console could safely operate under shock load conditions but also reduced the weight of the main frame structure by 6.241 kg, achieving lightweight design. This optimization method provides theoretical guidance for the design of in vehicle equipment.

A document by Nabil Saleem. Click on the document to view its contents.

Co-administration of vaccines consists of separate preparations of different immunogens that are administered at the same time. This practice has been common in pediatrics for many years but generally was not an issue with adult vaccination until recently. With the advent of multiple new adult respiratory vaccines that are given seasonally, co-administration has been a topic of interest. This review primarily looked at the newest vaccines (COVID-19 and RSV) in combination with the most common adult vaccine (influenza) and found that co-administration with these and other vaccines in adults is safe, effective, and acceptable. Achieving adequate vaccine coverage among adults will require a coadministration strategy similar to the approach for the pediatric population and has been shown to increase vaccine uptake overall. The World Health Organization (WHO) and the Center for Disease Control and Prevention (CDC) recognize that vaccine coadministration is a feasible approach to reduce the impact of vaccine-preventable diseases. Clinicians will have critical role to play in boosting individual and public health by offering vaccine co-administration.

With the expansion of islanded hydrogen production systems, the randomness and volatility of renewable energy pose higher requirements for the power supply reliability of energy storage systems (ESS). This paper presents an adaptive hierarchical control (AHC) strategy for parallel energy storage units (ESUs) in electrolytic hydrogen production systems to improve the reliability of power supply. In this strategy, each ESU is considered an agent and a dynamic average consensus algorithm is used to obtain the average value of the observed quantities. In the primary control layer, a sigmoid function is proposed to improve the droop coefficient, enabling the state of charge (SoC) of each ESU to converge to the average value. On this basis, a novel acceleration factor based on a normal distribution function is designed to accelerate the speed of SoC balancing in the later stage. In the secondary control layer, a unit virtual voltage drop balancing term and an average voltage compensation term are used to distribute the output current of ESUs proportionally according to their capacity and restore the average bus voltage deviation. The stability analysis confirms that the proposed method is strongly stable. Finally, a photovoltaic hydrogen production simulation model and a StarSim HIL experimental platform are established. The results show that the proposed control strategy can achieve rapid SoC balancing and accurate load current distribution with excellent average bus voltage compensation under various complex operating conditions.

Traditional beta-cyclodextrin (beta-CD) in biomedical applications faces challenges due to its inherent physical and biochemical limitations. One of the most effective strategies to enhance the properties of beta-CD for drug delivery is the synthesis of supramolecular polycyclodextrins. In this study, we designed a novel beta-CD nanocage-like structure for drug delivery, incorporating imine and disulfide bonds through Schiff base reactions. Aldehyde group-functionalized beta-CD units were used to construct the main backbone of the nanocage, forming dual-dynamic covalent bonds. The chemical structure of the beta-CD nanocage was confirmed using ¹H nuclear magnetic resonance (¹H NMR) and fourier transform infrared spectroscopy (FTIR). Additionally, atomic force microscopy (AFM) and dynamic light scattering (DLS) revealed that varying amounts of beta-CD crosslinked with cystamine resulted in nanocages approximately 200 nm in size. In vitro drug release experiments demonstrated that doxorubicin (DOX)-loaded beta-CD nanocages exhibited accelerated DOX release in acidic and reductive environments compared to normal physiological conditions, owing to the pH-sensitive imine bond and the glutathione (GSH)-cleavable disulfide bond. The DOX-loaded beta-CD nanocages showed exceptional tumor-killing effects, particularly in acid/reduction-enhanced tumor cells. Both cellular fluorescence imaging and flow cytometry confirmed the potential of the beta-CD nanocages for acid/reduction-specific drug release. Consequently, this precision medicine model using imine/disulfide-linked beta-CD nanocage structures as acidity/reduction-sensitive drug carriers promises to improve oncotherapy through more targeted drug delivery and release, supporting individualized treatment approaches.

Objective-To find whether placental laterality as determined by ultrasound can be used as a predictor of the development of preeclampsia and to find its correlation with severity of preeclampsia, maternal and fetal outcomes. Design- Prospective study Setting-LLRM Medical college, Meerut, Antenatal clinic from October 2022 to March 2024 Sample- A total of 344 low-risk singleton pregnant women. Methods:. At 18–24 weeks, an ultrasound was used to locate the placenta in the above mentioned women. Two groups of women were created: group A had a central placenta, while group B had a lateral placenta. The study’s end point was the onset of preeclampsia according to the RCOG criteria. Outcome-To analyse placental localisation as a predictor of preeclampsia development and its association with feto-maternal outcomes. Results: Of the 344 pregnant women, 210 (Group-A) had a central placenta, and 134 (Group-B) had a lateral placenta. Out of total women, 69.2% with lateral placenta and 30.8% with central placenta developed preeclampsia. This difference is found to be highly significant statistically (p value <0.01). As a screening test, placental laterality has the following sensitivity, specificity: 69.23%, 66.44% respectively. Conclusions: The placental laterality as assessed by ultrasonography at 18–24 weeks is a simple, reliable and cost effective predictive screening tool for the onset of preeclampsia.

Large-scale bismuth vanadate (BiVO4) photoanodes are critical to the practical application of photoelectrochemical (PEC) water splitting devices. However, the lack of interface-modified coatings with simultaneous low cost, scalability, high hole transport efficiency, low impedance, and photocorrosion resistance is a major challenge that prevents the practical application of large-size photoanodes. Here, we present a scalable nickel-chelated polydopamine (PDA-Ni) conformal coating for modifying BiVO4 (BiVO4@PDA-Ni, BPNi), achieving over 500 hours of stable water oxidation. The excellent stability is attributed to the chelated Ni acting as hole oxidation sites for PDA, thereby suppressing the accumulated-holes-induced PDA decomposition. Additionally, the in situ generation of Ni(Ⅳ) facilitates the structural reorganization of PDA in the PEC system, further enhancing the stability of the PDA matrix. The findings of PDA photodegradation, its autonomous metal ion capture within PEC systems, and the rapid deactivation of BPNi photoanodes caused by vanadium (V) ions have all provided significant guidance for the enhancement of PDA. Our study demonstrates that PDA-Ni can be applied to large-scale BiVO4 photoanodes to facilitate oxygen evolution. This will promote the development of large-scale photoanodes suitable for PEC devices.

Objective: To perform a bibliometric analysis in the field of thyroid-associated ophthalmopathy (TAO) nonsurgical treatment research over the past 40 years to characterize its current global trends and emerging hotspots, with special focus on the novel biological therapies targeting immunological and inflammatory pathways, as well as the pathology behind. Methods: This bibliometric analysis examined 1600 publications collected from the Web of Science Core Collection (WoSCC) database on TAO research from 1983 to 2023. Important subtopics identified by bibliometric characterization were further discussed surrounding biological therapies and immunology-related pathology. Results: From 1983 to 2023, the annual global publications increased rapidly and an even higher research interest in the future was indicated by curve fitting. Thyroid published the most manuscripts, and the United States, the University of Pisa and Marcocci Claudio were the most productive and impactful country, institution and author respectively. The co-occurrence cluster analysis of the top 80 keywords formed three clusters: (1) possible mechanism and cellular biology of TAO (also the possible nonsurgical treatment target). (2) treatments of TAO. (3) thyroid disorders and other factors. These co-occurrence clusters indicated research hotspots and their evolutionary patterns. Rituximab and teprotumumab as well as their related publications were keywords and references with strong citation bursts lasting till now, indicating immunity-related targeted biologicals as the emerging frontiers of TAO nonsurgical treatments. Conclusions: Over the last four decades, there has been a progressive increase in the number of publications and citations on research related to TAO nonsurgical treatment. Our study provided a thorough overview of the evolutionary landscape for nonsurgical treatment of TAO, showing new insight into the development of TAO immunological pathogenesis research, and the rise of biological therapies. It shed light on its global collaboration patterns, current trends, research hotspots, and emerging frontiers, hopefully could facilitate collaborative initiatives and guiding future research.