Screening System Research Articles

Establishment of a human 3D in vitro liver-bone model as a potential system for drug toxicity screening.

Drug toxicity is an important cause of chronic liver damage, which in the long term can lead to impaired bone homeostasis through an imbalance in the liver-bone axis. For instance, non-steroidal anti-inflammatory drugs (e.g., diclofenac), which are commonly used to control pain during orthopaedic interventions, are known to reduce bone quality and are the most prevalent causes of drug-induced liver damage. Therefore, we used human cell lines to produce a stable, reproducible, and reliable in vitro liver-bone co-culture model, which mimics the impaired bone homeostasis seen after diclofenac intake in vivo. To provide the best cell culture conditions for the two systems, we tested the effects of supplements contained in liver and bone cell culture medium on liver and bone cell lines, respectively. Additionally, different ratios of culture medium combinations on bone cell scaffolds and liver spheroids' viability and function were also analysed. Then, liver spheroids and bone scaffolds were daily exposed to 3-6µM diclofenac alone or in co-culture to compare and evaluate its effect on the liver and bone system. Our results demonstrated that a 50:50 liver:bone medium combination maintains the function of liver spheroids and bone scaffolds for up to 21days. Osteoclast-like cell activity was significantly upregulated after chronic exposure to diclofenac only in bone scaffolds co-cultured with liver spheroids. Consequently, the mineral content and stiffness of bone scaffolds treated with diclofenac in co-culture with liver spheroids were significantly reduced. Interestingly, our results show that the increase in osteoclastic activity in the system is not related to the main product of diclofenac metabolism. However, osteoclast activation correlated with the increase in oxidative stress and inflammation associated with chronic diclofenac exposure. In summary, we established a long-term stable liver-bone system that represents the interaction between the two organs, meanwhile, it is also an outstanding model for studying the toxicity of drugs on bone homeostasis.

Analysis of the sensitivity of high-grade squamous intraepithelial lesion Pap diagnosis and interobserver variability with the Hologic Genius Digital Diagnostics System.

Artificial intelligence (AI)-based systems are transforming cytopathology practice. The aim of this study was to evaluate the sensitivity of high-grade squamous intraepithelial lesion (HSIL) Papanicolaou (Pap) diagnosis assisted by the Hologic Genius Digital Diagnostics System (GDDS). A validation study was performed with 890 ThinPrep Pap tests with the GDDS independently. From this set, a subset of 183 cases originally interpreted as HSIL confirmed histologically were included in this study. The sensitivity for detecting HSIL by three cytopathologists was calculated. Most HSIL cases were classified as atypical glandular cell/atypical squamous cell-high grade not excluded (AGC/ASC-H) and above by all cytopathologists. Of these cases, 11.5% were classified as low-grade squamous intraepithelial lesion (LSIL) by pathologist A (P-A), 6% by pathologist B (P-B), and 5.5% by pathologist C (P-C); 3.8%, 2.7%, and 1.6% of these cases were classified as atypical squamous cell of unknown significance (ASC-US) by P-A, P-B, and P-C, respectively. The sensitivity for detection of cervical intraepithelial neoplasia 2 and above (CIN2+) lesions was 100% if ASC-US and above (ASC-US+) abnormalities were counted among all three pathologists. The sensitivity for detection of CIN2+ lesions was 84.7%, 91.3%, and 92.9% by P-A, P-B, and P-C, respectively, for ASC-H and above abnormalities. The Kendall W coefficient was 0.722, which indicated strong agreement between all pathologists. New-generation AI-assisted Pap test screening systems such as the GDDS have the potential to transform cytology practice. In this study, the GDDS aided in interpreting HSIL in ThinPrep Pap tests, with good sensitivity and agreement between the pathologists who interacted with this system.

Feasibility of Acoustic Features of Vowel Sounds in Estimating the Upper Airway Cross Sectional Area during Wakefulness: A Pilot Study

Assessment of upper airway dimensions has shown great promise in understanding the pathogenesis of obstructive sleep apnea (OSA). However, the current screening system for OSA does not have an objective assessment of the upper airway. The assessment of the upper airway can accurately be performed by MRI or CT scans, which are costly and not easily accessible. Acoustic pharyngometry or Ultrasonography could be less expensive technologies, but these require trained personnel which makes these technologies not easily accessible, especially when assessing the upper airway in a clinic environment or before surgery. In this study, we aimed to investigate the utility of vowel articulation in assessing the upper airway dimension during normal breathing. To accomplish that, we measured the upper airway cross-sectional area (UA-XSA) by acoustic pharyngometry and then asked the participants to produce 5 vowels for 3 seconds and recorded them with a microphone. We extracted 710 acoustic features from all vowels and compared these features with UA-XSA and developed regression models to estimate the UA-XSA. Our results showed that Mel frequency cepstral coefficients (MFCC) were the most dominant features of vowels, as 7 out of 9 features were from MFCC in the main feature set. The multiple regression analysis showed that the combination of the acoustic features with the anthropometric features achieved an R2 of 0.80 in estimating UA-XSA. The important advantage of acoustic analysis of vowel sounds is that it is simple and can be easily implemented in wearable devices or mobile applications. Such acoustic-based technologies can be accessible in different clinical settings such as the intensive care unit and can be used in remote areas. Thus, these results could be used to develop user-friendly applications to use the acoustic features and demographical information to estimate the UA-XSA.

Descriptive study of possible relation between cardio-ankle vascular index and lipids in hypertension subjects

Aim: The cardio-ankle vascular index (CAVI) is a new evaluation indicator for arteriosclerosis. This study investigated the relationship between the CAVI and lipid levels in patients with hypertension in a real clinical environment. Methods: This descriptive study enrolled 2,656 patients (male/female: 1,016/1,640) from the Outpatient Department of Vascular Medicine of Peking University Shougang Hospital and Jinding Street Community Health Service Center. CAVI was measured using a VaseraVS-1000 vascular screening system (Fukuda Denshi, Tokyo, Japan). Results: Age, body mass index (BMI), waist circumference, hip circumference, CAVI, systolic blood pressure (SBP), diastolic blood pressure (DBP), creatinine, fasting plasma glucose (FPG), uric acid (UA), hypersensitive C-reactive protein (hs-CRP), homocysteine, HbA1c, and triglyceride (TG) were significantly higher in the hypertension group than in the non-hypertension group. The levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were significantly lower in the hypertension group than in the non-hypertension group. The CAVI value was significantly higher in patients with hypertriglyceridemia and normal LDL-C than in those with normal TG and hyper-LDL-C. Age, waist circumference, UA, FPG, HDL-C, hs-CRP, HbA1c, BMI, SBP, and DBP were independently associated with CAVI in all patients. Beta blockers were negatively correlated with CAVI (β = –0.411, P = 0.011). Sex (male) and history of hypertension and diabetes mellitus were positively correlated with CAVI (β = 0.419, P < 0.001; β = 0.247, P = 0.011; β = 0.638, P < 0.001; respectively). Conclusions: The CAVI was significantly higher in patients with hypertension and exhibited differences based on sex. Although we did not find a significant correlation between CAVI and TG, it remains crucial to maintain blood pressure to prevent the development of arteriosclerosis.

Design, Synthesis, and Activity Evaluation of BRD4 PROTAC Based on Alkenyl Oxindole-DCAF11 Pair.

Proteolytic targeting chimera (PROTAC) represent an advanced strategy for targeting undruggable proteins, and the molecular warheads targeting E3 ligases play a crucial role. Recently, we explored an alkenyl oxindole warhead targeting the E3 ligase DCAF11 and sought to validate its potential. In this study, we synthesized a range of BRD4 PROTACs (8a-8o, 14a-14f, 22a-22m) with modified alkenyl oxindole warheads and developed a high-throughput screening system based on high-content imaging. We identified L134 (22a) as a potent BRD4 degrader, achieving BRD4 degradation (Dmax > 98%, DC50 = 7.36 nM) and demonstrating antitumor activity. Mechanically, BRD4 degradation by L134 was mediated through the ubiquitin-proteasome system in a DCAF11-dependent manner. Therefore, this study provides a rapid screening method for effective PROTACs and highlights the PROTAC L134 based on alkenyl oxindole-DCAF11 pair as a promising candidate for treating BRD4-driven cancers.

Luteolin detoxifies DEHP and prevents liver injury by degrading Uroc1 protein in mice

AbstractDi-(2-ethylhexyl) phthalate (DEHP), an environmental pollutant, has been widely detected in both environmental and clinical samples, representing a serious threat to the homeostasis of the endocrine system. The accumulation of DEHP is notably pronounced in the liver and can lead to liver damage. The lack of effective high-throughput screening system retards the discovery of such drugs that can specifically target and eliminate the detrimental impact of DEHP. Here, by developing a Cy5-modified single-strand DNA-aptamer-based approach targeting DEHP, we have identified luteolin as a potential drug, which showcasing robust efficacy in detoxifying the DEHP by facilitating the expulsion of DEHP in both mouse primary hepatocytes and livers. Mechanistically, luteolin enhances the protein degradation of hepatic urocanate hydratase 1 (Uroc1) by targeting its Ala270 and Val272 sites. More importantly, trans-urocanic acid (trans-UCA), as the substrate of Uroc1, possesses properties similar to luteolin by regulating the lysosomal exocytosis through the inhibition of the ERK1/2 signal cascade. In summary, luteolin serves as a potent therapeutic agent in efficiently detoxifying DEHP in the liver by regulating the UCA/Uroc1 axis.

Exploring the Link between the Obesity and ADHD

Obesity is a chronic, multifactorial and recurrent disease. ADHD is a chronic neurodevelopmental disorder in early childhood. The core symptoms include attention deficit, hyperactivity/impulsivity and oppositional defiance. Research shows that there is a significant correlation between obesity and ADHD, and the probability of overweight and obese children suffering from ADHD is significantly higher than that of normal weight children. This paper discusses the association mechanism between ADHD and obesity from the perspectives of genetics, eating disorders, intestinal flora and poor physical exercise. At the same time, in view of the prevention and intervention of the comorbidity of ADHD and obesity, this paper also puts forward various means such as diet intervention, exercise prevention intervention and drug treatment. However, the relationship between obesity and ADHD is complex, and the comorbidity problem needs to be solved urgently. Establishing an effective early screening system, implementing targeted prevention and intervention measures, and strengthening public awareness and understanding of comorbidities are important ways to improve the quality of life of this group. Further research is needed in the future.

Development of a high-throughput screening system targeting the protein-protein interactions between PRL and CNNM

Phosphatase of regenerating liver (PRL) is an oncogenic protein that promotes tumor progression by directly binding to cyclin M (CNNM) membrane proteins and inhibiting their Mg2+ efflux activity. In this study, we have developed a high-throughput screening system to detect the interactions between PRL and CNNM proteins based on homogenous time-resolved fluorescence resonance energy transfer (HTR-FRET, HTRF). We optimized the tag sequences attached to the recombinant proteins of the CNNM4 CBS domains and PRL3 lacking the carboxyl terminal CAAX motif, and successfully detected the interaction by observing the FRET signal in the mixture of the tagged proteins and fluorophore-conjugated antibodies. Moreover, we performed compound library screening using this system and discovered several compounds that could efficiently inhibit the PRL-CNNM interaction. Characterization of one candidate compound revealed that it was relatively stable compared with thienopyridone, a known inhibitor of the PRL-CNNM interaction. The candidate compound can also inhibit PRL function in cells: suppression of CNNM-dependent Mg2+ efflux, and has sufficient in vitro drug metabolism and pharmacokinetic properties. Overall, these results demonstrate the effectiveness of this screening system for identifying novel inhibitors of the PRL-CNNM interaction, which could contribute to the development of novel anti-cancer drugs.

Risk Factors of Hepatitis Associated With Time to Adopting a New Cancer Screening Model Under Diffusion of Innovation Theory-A 10-Year Cohort Study in Taiwan.

Hepatitis is a serious global health issue. To reduce mortality, early screening for liver disease has been recommended in community health policies, particularly for asymptomatic individuals. This study explored the link between liver function biomarkers and how quickly people adopt a new multiple cancer screening program, using the diffusion of innovation (DOI) Theory. The study included 57,939 participants from a community-based screening program in Keelung, Taiwan, between January 1, 2001, and December 31, 2010. Data on demographics and lifestyle habits were collected through questionnaires, and blood samples were analyzed to measure biomarkers related to liver function. On average, participants took 3.48 years to accept the new screening program. People with healthier lifestyles, such as those who drank alcohol less often, were more likely to adopt the screening early. Additionally, those with higher levels of liver-related biomarkers like albumin, total protein, and ALT joined even sooner. In conclusion, using DOI theory, the study found that personal lifestyle and liver function play a role in how quickly individuals adopt a new screening system. These insights can help healthcare providers improve early screening efforts, particularly for people at risk of hepatitis and liver cancer, potentially reducing related deaths.

Blurring the lines: the vague boundary between mainstream and deviant internet pornography tags for at-risk viewers

ABSTRACT Illegal material is increasingly appearing on popular mainstream websites. Many commentators worry about the impact of such material on adolescents' psycho-sexual development and the potential for some legal pornography to act as a gateway to child sexual exploitation material for users of any age. In this study, we collected publicly available data from a popular legal pornography website to assess the risk of adolescent exposure to content that may hinder healthy psycho-sexual development. We analysed over 27 million customer searches involving 149 video tags from this site. Five international experts on the effects of pornography rated the tags, categorising them into five overlapping genres: mainstream, incestuous, underage, aggressive and non-consensual. They also assessed the potential risk each genre posed. Our analysis found a significant positive correlation between the harm ratings and the frequency of tags used as search terms. Additionally, eleven of the twelve tags with the highest mean risk scores involved potential underage and/or incestuous content. This study highlights a concerning relationship between the harm ratings of various pornographic genres and their popularity as search terms. While exploratory, these results emphasise the need for regulatory measures to address the presence of harmful material on mainstream websites. PRACTICE IMPACT STATEMENT The study has practical implications for the regulation of potentially harmful pornography by legal pornography sites. The sites should (a) control the use of tags and how new tags are developed in order to prevent content creators from advertising potentially illegal material, (b) vet all content before it is uploaded for public consumption, and (c) implement screening systems to retrospectively find and eradicate all illegal or harmful content already in their collection.

Achieving RoutIne Screening for Emotional health (ARISE) in pediatric subspecialty clinics.

This study aims to describe the experience of implementing a psychosocial distress screening system for children with serious or chronic medical conditions. Achieving RoutIne Screening for Emotional health (ARISE) was developed to systematically evaluate psychosocial distress in children with serious medical or chronic medical illnesses, by integrating patient-reported outcome measures (PROM) into care delivery. ARISE was developed using a user-centered approach with extensive input from patients, families, and healthcare professionals to overcome barriers to routine PROM collection and integration into care as usual. It comprises a system to capture PROMs and then relay results to clinicians for changing care. We sought to implement ARISE at four subspecialty pediatric clinics caring for patients with cystic fibrosis, sickle cell disease, hemophilia, and neurological malignancy. Problems with acceptability, appropriateness, and feasibility represented barriers to implementation which were overcome by modifying the intervention using stakeholder input during the planning phase, leading to broad program acceptance. ARISE was implemented in three of the four clinics, in which 79.8% of eligible children and their family completed PROMs. The ARISE program demonstrated the feasibility and effectiveness of integrating psychosocial screenings into subspecialty pediatric clinics, thereby enhancing the identification and management of psychosocial issues in children with serious and chronic medical illnesses.

Analyzing Amylin Aggregation Inhibition Through Quantum Dot Fluorescence Imaging.

Protein aggregation is associated with various diseases caused by protein misfolding. Among them, amylin deposition is a prominent feature of type 2 diabetes. At present, the mechanism of amylin aggregation remains unclear, and this has hindered the treatment of type 2 diabetes. In this study, we analyzed the aggregation process of amylin using the quantum dot (QD) imaging method. QD fluorescence imaging revealed that in the presence of 100 μM amylin, aggregates appeared after 12 h of incubation, while a large number of aggregates formed after 24 h of incubation, with a standard deviation (SD) value of 5.435. In contrast, 50 μM amylin did not induce the formation of aggregates after 12 h of incubation, although a large number of aggregates were observed after 24 h of incubation, with an SD value of 2.883. Confocal laser microscopy observations revealed that these aggregates were deposited in three dimensions. Transmission electron microscopy revealed that amylin existed as misfolded fibrils in vitro and that QDs were uniformly bound to the amylin fibrils. In addition, using a microliter-scale high-throughput screening (MSHTS) system, we found that rosmarinic acid, a polyphenol, inhibited amylin aggregation at a half-maximal effective concentration of 852.8 μM. These results demonstrate that the MSHTS system is a powerful tool for evaluating the inhibitory activity of amylin aggregation. Our findings will contribute to the understanding of the pathogenesis of amylin-related diseases and the discovery of compounds that may be useful in the treatment and prevention of these diseases.

High-Efficiency Enzyme Assay and Screening of Enzyme-Inhibiting Nanomaterials Using Capillary Electrophoresis with Hierarchically Porous Metal-Organic Framework-Based Immobilized Enzyme Microreactor.

Enzyme-inhibiting nanomaterials have significant potential for regulating enzyme activity. However, a universal and efficient method for systematically screening and evaluating the inhibitory effects of various nanomaterials on drug target enzymes has not been established. While the integrated technique of immobilized enzyme microreactor (IMER) with capillary electrophoresis (CE) serves as an effective tool for enzyme analysis, it still faces challenges such as low enzyme loadability, unsatisfactory stability, and limited applicability. Herein, hierarchical porous metal-organic frameworks (HP-MOFs) were explored as high-performance enzyme immobilization carriers and stationary phases to develop a novel HP-MOFs-based IMER-CE microanalysis system for efficient online enzyme assay and systematic screening of enzyme-inhibiting nanomaterials. As a proof-of-concept demonstration, the model enzyme xanthine oxidase (XOD) was immobilized on a HP-UiO-66-NH2 coated capillary, serving as an efficient and durable IMER for screening potential XOD-inhibiting nanomaterials. The hierarchically micro- and mesoporous structure and superior enzyme loadability of as-prepared HP-UiO-66-NH2-IMER was intensively characterized, followed by systematic evaluation of the separation performance of HP-UiO-66-NH2 coated column and the enzyme kinetics of the immobilized XOD. Compared to the microporous UiO-66-NH2-IMER, the HP-UiO-66-NH2-IMER-CE system showed significant improvements in enzyme loading, maximum reaction rate, repeatability, and long-term stability. Furthermore, the established method was effectively employed to screen the XOD inhibitory activity of various nanomaterials, revealing that graphene oxide, single wall carbon nanotube and three other nanomaterials exhibited inhibitory potentials. The HP-MOFs-based microanalysis system can be easily expanded by modifying the types of immobilized enzymes and holds the potential to accelerate the identification and rational design of effective enzyme-inhibiting nanomaterials.

Real-Time 3D Imaging and Inhibition Analysis of Human Serum Amyloid A Aggregations Using Quantum Dots.

Serum amyloid A (SAA) is one of the most important precursor amyloid proteins discovered during the study of amyloidosis, but its underlying aggregation mechanism has not yet been well elucidated. Since SAA aggregation is a key step in the pathogenesis of AA amyloidosis, amyloid inhibitors can be used as a tool to study its pathogenesis. Previously, we reported a novel microliter-scale high-throughput screening (MSHTS) system for screening amyloid β (Aβ) aggregation inhibitors based on quantum dot (QD) fluorescence imaging technology. In this study, we report the aggregation of human SAA (hSAA) in phosphate-buffered saline, in which we successfully visualized hSAA aggregation by QD using fluorescence microscopy and confocal microscopy. Two-dimensional and three-dimensional image analyses showed that most aggregations were observed at 40 μM hSAA, which was the optimal aggregation concentration in vitro. The accuracy of this finding was verified by a Thioflavin T assay. The transmission electron microscopy results showed that QD uniformly bound to hSAA aggregation. hSAA aggregation inhibitory activity was also evaluated by rosmarinic acid (RA). The results showed that RA, which is a compound with high inhibitory activity against Aβ aggregation, also exhibited high inhibitory activity against 40 μM hSAA. These results indicate that the MSHTS system is an effective tool for visualizing hSAA aggregation and for screening highly active inhibitors.

Olfactory Visualization Sensing Array Made with CelluMOFs to Predict Fruit Ripeness Using Deep Learning.

Developing a colorimetry-based artificial scent screening system (i.e., an olfactory visual sensing system) with high sensitivity and accurate pattern recognition for detecting fruit ripeness remains challenging. In this work, we construct a flexible dye/CelluMOFs-based sensor array with improved sensitivity for on-site detection of characteristic gases of fruits and integrate a densely connected convolutional network (DenseNet) into the sensor array, enabling it to recognize unique scent fingerprints and categorize the ripeness of fruits. In the system, CelluMOFs are synthesized through in situ growth of γ-cyclodextrin metal-organic frameworks (γ-CD-MOFs) on flexible fiber filter paper to fabricate a uniform, flexible and porous dye/CelluMOFs sensitive membrane. Compared to the pristine filter paper, the CelluMOFs exhibit increased porosity with a 62 times higher specific surface area and a 3-fold increase in dye loading capacity after 12 h of adsorption. The prepared dye/CelluMOFs sensing film shows outstanding mechanical and detection stability with negligible deviation after 100 cycles of rubbing. The colorimetric visualization arrays with multiple colorimetric dye/CelluMOFs chips, enable the sensitive recognition and detection of nine kinds of characteristic fruit odors and achieve a high response at 8-1500 ppm of trans-2-hexenal, showcasing remarkably low gas detection thresholds. On the basis of the ppm-level limit of detection with high sensitivity, the fabricated colorimetric sensor arrays are typically used for in situ assessment of fruit ripeness by integrating DenseNet. This approach achieves a satisfactory classification accuracy of 99.09% on the validation set, enabling high-precision prediction of fruit ripeness levels.

Roboticized AI-assisted microfluidic photocatalytic synthesis and screening up to 10,000 reactions per day

The current throughput of conventional organic chemical synthesis is usually a few experiments for each operator per day. We develop a robotic system for ultra-high-throughput chemical synthesis, online characterization, and large-scale condition screening of photocatalytic reactions, based on the liquid-core waveguide, microfluidic liquid-handling, and artificial intelligence techniques. The system is capable of performing automated reactant mixture preparation, changing, introduction, ultra-fast photocatalytic reactions in seconds, online spectroscopic detection of the reaction product, and screening of different reaction conditions. We apply the system in large-scale screening of 12,000 reaction conditions of a photocatalytic [2 + 2] cycloaddition reaction including multiple continuous and discrete variables, reaching an ultra-high throughput up to 10,000 reaction conditions per day. Based on the data, AI-assisted cross-substrate/photocatalyst prediction is conducted.

Innovations in cancer diagnosis and treatment: prospects and challenges

The research relevance of cancer diagnostics and treatment is determined by its widespread occurrence and the lack of adequate modern diagnostic methods. The study aims to characterise new diagnostic methods, namely screenings in detecting cancer at early stages of development. To achieve this goal, the bibliosemantic and bibliographic methods were used. Main results. Cancer is the leading cause of morbidity and mortality after cardiovascular diseases and injuries in many countries around the world. Various diagnostic and treatment methods are used to combat this problem, including computed tomography, magnetic resonance imaging and positron emission tomography. In addition, modern diagnostic methods such as polymerase chain reaction, mass spectrometry and genomic sequencing play an important role in determining the types of cancer cells and their sensitivity to treatment. These advanced methods can be used to diagnose cancer more accurately and efficiently and choose the most appropriate treatment strategies for each patient. The practical significance of this topic is to ensure appropriate care for patients with cancer: providing high-quality, efficient, fast and minimally invasive diagnostics using the latest methods, as well as implementing a screening system.

Conversion of dehydrocoelenterazine to coelenterazine in mammalian cells: Identification using cultured cells stably expressing coelenterazine-utilizing luciferase

Dehydrocoelenterazine (dCTZ) is a dehydrogenated form of coelenterazine (CTZ), which is well-known as the luciferin responsible for the bioluminescence reaction in marine organisms. In this report, we demonstrate for the first time that dCTZ is readily reduced to CTZ in mammalian cells. Using an FDSS®/μCell functional drug screening system, the conversion of dCTZ to CTZ in cells was identified through the luciferin (CTZ)-luciferase reaction in Chinese hamster ovary K1 (CHO–K1) cell lines, which stably expressed CTZ-utilizing luciferases of Renilla luciferase (RLase) or QL-nanoKAZ (a mutant of the 19 kDa protein of Oplophorus luciferase). After loading dCTZ into CHO–K1 cells expressing RLase or QL-nanoKAZ, the luminescence from both cells was detected within 10 s and continued for over 30 min. Thus, dCTZ permeates mammalian cells and is immediately converted to CTZ. This suggests that dCTZ could potentially be used as a substitute for CTZ in in vivo assays of the CTZ-dependent luminescence systems.

AVATAR 2.0: next level communication systems for radiotherapy through face-to-face video, biofeedback, translation, and audiovisual immersion.

This paper discusses an advanced version of our audiovisual-assisted therapeutic ambience in radiotherapy (AVATAR) radiolucent display systems designed for pediatric radiotherapy, enabling anesthesia-free treatments, video communication, and biofeedback. The scope of the AVATAR system is expanded here in two major ways: (i) through alternative mounting systems to accommodate a broader range of radiotherapy machines (specifically to fit robotic-arm and toroidal geometry photon radiotherapy and proton radiotherapy systems) and (ii) through additional hardware to provide video-calling, optimized audio for clear communication, and combined video inputs for biofeedback, translation, and other advanced functionalities. Because robustness requires strong parts and radio-transparency requires thin, light parts, three-dimensional printing was used to rapidly prototype hollow structures and to iteratively improve robustness. Two system designs were made: one that mounts superior and another that mounts inferior to the patient's head. Radiation dose measurements and calculations were conducted to assess dose perturbations at surface and depth due to the screen. For 6-MV volumetric modulated arc therapy (VMAT) plans, with and without the screen, the mean and maximum dose differences inside the planning target volume were 0.2% and 2.6% of the 200 cGy prescription, respectively. For a single static beam through the screen, the maximum measured excess surface dose was 13.4 ± 0.5%, and the largest measured dose attenuation at 5-cm water-equivalent depth was 2.1 ± 0.2%. These percentages are relative to the dose without the screen at those locations. The radiolucent screen systems provided here are shown to give minimal dosimetric effects on megavoltage VMAT photon treatments. For static beams, however, surface dose effects should be considered when these beams pass through the thickest components of the screen. Design files are also provided.

7559 TRIM21 Regulates Activation of ERK1/2 to Promote Growth and Drug Resistance in Pituitary Neuroendocrine Tumors

Abstract Disclosure: Y. Liu: None. F. Liu: None. C. Li: None. T. Zhang: None. L. Xue: None. Z. Wu: None. Objective: To investigate the role of the TRIM family genes in pituitary neuroendocrine tumors (PitNETs) and provide new targets and strategies for the clinical treatment of these tumors. Methods: A CRISPR screening system targeting the TRIM family was constructed and validated using next-generation sequencing. Stable cell lines overexpressing or knocking out TRIM21 were generated, and functional validation was performed using assays such as CCK-8, colony formation, and xenograft tumor growth in nude mice. RNA-seq, mass spectrometry, immunohistochemistry, and immunoblotting were employed to explore the signaling pathways and mechanisms underlying TRIM21's actions. Immunoprecipitation, immunofluorescence, GST-pulldown, NanoBiT assays, and ubiquitination experiments were conducted to investigate the effects of TRIM21 on ERK1/2. Immunohistochemistry and immunoblotting were used to explore the role of TRIM21 in drug- resistant prolactinomas and the correlation between TRIM21 and p-ERK. Results: Through screening the proliferative and drug-resistant effects of the TRIM family in MMQ and GH3 cells, we found that knocking out TRIM21 may inhibit cell growth and enhance drug sensitivity. Subsequently, stable cell lines overexpressing or knocking out TRIM21 were generated in MMQ and GH3 cells, revealing that TRIM21 overexpression promotes pituitary tumor cell growth and resistance to drug treatment, while TRIM21 knockout inhibits cell growth and enhances drug sensitivity. Cell-derived xenograft models showed that TRIM21 overexpression promoted growth of GH3 cells in vivo and resistance to cabergoline (CAB), while TRIM21 knockout suppressed growth of MMQ cells in vivo. Further exploration of the signaling pathways influenced by TRIM21 revealed that TRIM21 knockout downregulates the MAPK signaling pathway, while TRIM21 overexpression upregulates it. TRIM21 overexpression upregulates p-ERK1/2 in the MAPK pathway, while TRIM21 knockout decreases p-ERK. However, there is no significant influence on ERK1/2, JNK, p-JNK, p38, or p-p38. Mechanically, TRIM21 interacted with ERK1/2, enhancing the K27-linked ubiquitination of ERK1/2 and promoting their interaction with MEK1/2. In addition, the TRIM21 with D-docking mutant or ERK1/2 with CD-domain mutant resulted in the loss of their interaction. Furthermore, TRIM21 and p-ERK levels were significantly elevated in drug-resistant prolactinomas and immunohistochemical semi-quantitative analysis demonstrated a positive correlation between TRIM21 and p-ERK. Conclusion: The ubiquitin ligase TRIM21 catalyzes K27-linked ubiquitination of ERK1/2, enhancing its interaction with MEK1/2 and activation, thereby promoting growth and drug resistance in pituitary neuroendocrine tumors. TRIM21 may serve as a potential target for the treatment of pituitary neuroendocrine tumors. Presentation: 6/3/2024