Bone destruction of orbital wall in idiopathic orbital inflammatory pseudotumor: does it always imply malignancy?

AIM: To assess the clinical presentations and outcomes of idiopathic orbital inflammatory pseudotumor (IOIP) patients with orbital wall bone destruction (OWBD) and to propose an expanded classification system that includes bone destruction. METHODS: The study retrospectively reviewed clinical presentations, imaging findings, treatment modalities, and outcomes of six patients diagnosed histopathologically with IOIP and OWBD at the Beijing Tongren Hospital, Capital Medical University between October 2018 and June 2021. RESULTS: Over two years, 6 (10%) of 60 IOIP patients at our hospital exhibited OWBD, but this may overrepresent severe cases. The cohort consisted of three men and three women, aged 17 to 60y (mean 35.5±16.1y). Presenting symptoms included proptosis, eyelid swelling, decreased visual acuity with pain, and palpable mass. Imaging revealed multiple anatomical structures involved with the medial wall being the most common site of bone destruction. Histopathological examination showed classic type in five patients and sclerosing type in one patient. All patients underwent surgical resection followed by methylprednisolone treatment. Follow-up (mean 30.3±3.1mo) indicated three patients had no recurrence, while others had varying degrees of symptom persistence or recurrence. CONCLUSION: IOIP with bone destruction is a rare but significant subtype that mimics malignancy, leading to potential diagnostic and therapeutic challenges. Our findings suggest that complete surgical resection combined with adjunctive glucocorticoid therapy can yield favorable outcomes. However, larger-scale studies are needed to further optimize therapeutic approaches.

Pig-to-human kidney xenotransplants using genetically modified minipigs.

This study develops an observational model to assess kidney function recovery and xenogeneic immune responses in kidney xenotransplants, focusing on gene editing and immunosuppression. Two brain-dead patients undergo single kidney xenotransplantation, with kidneys donated by minipigs genetically modified to include triple-gene knockouts (GGTA1, ß4GalNT2, CMAH) and human gene transfers (hCD55 or hCD55/hTBM). Renal xenograft functions are fully restored; however, immunosuppression without CD40-CD154 pathway blockade is ineffective in preventing acute rejection by day 12. This rejection manifests as both T cell-mediated rejection and antibody-mediated rejection (AMR), confirmed by natural killer (NK) cell and macrophage infiltration in sequential xenograft biopsies. Despite donor pigs being pathogen free before transplantation, xenografts and recipient organs test positive for porcine cytomegalovirus/porcine roseolovirus (PCMV/PRV) by the end of the observation period, indicating reactivation and contributing to significant immunopathological changes. This study underscores the critical need for extended clinical observation and comprehensive evaluation using deceased human models to advance xenograft success.

Association between sleep duration and the risk of hyperhomocysteinemia among adults in the United States: National Health and Nutrition Examination Survey, 2005-2006.

The study aimed to discuss the association between sleep duration and the risk of hyperhomocysteinemia (Hhcy). This cross-sectional study included 4173 adults (≥ 20 years) from the National Health and Nutrition Examination Survey 2005-2006. According to their sleep duration, participants were divided into five subgroups. Multivariate logistic regression analysis models and restrictive cubic spline regressions were used to explore the association between sleep duration and the risk of Hhcy. Compared with the participants who sleep 7 h, sleep deprivation (≤ 5 h) increased the risk of Hhcy, odds ratio (OR) 1.68 (95% confidence interval (CI) 1.06-2.68); Excessive sleep (≥ 9 h) also increased the risk of Hhcy, OR 1.86 (95% CI 1.09-3.14) after adjusting for a series of confounding factors in the entire population. The risk of Hhcy was distributed in a U-shape with sleep duration. Similar results were demonstrated in obese populations. The association between sleep duration and the risk of Hhcy is U-shaped. Both sleep deprivation and excessive sleep can increase the risk of Hhcy.

Genetically Expressed RNA Strand Displacement for Cellular Manipulation.

Nucleic acid strand displacement is a pivotal concept in dynamic nucleic acid nanotechnologies, which has been extensively investigated and applied across various fields. Compared with DNA systems, the genetically expressed RNA strand displacement technology offers unique advantages for construction of genetic circuits in living cells, where RNA expression and modulation may be seamlessly integrated into the genomic network for long-term and stable regulations of diversified biological functionalities. This Concept paper provides an overview of previous efforts on developments of synthetic gene circuits through utilization of RNA strand displacement, including our endeavors in this field. Moreover, future prospects, potential applications and challenges of the genetically expressed RNA strand displacement technology are also discussed.

Tailoring near-infrared amyloid-ß probes with high-affinity and low background based on CN and amphipathic regulatory strategies and in vivo imaging of AD mice.

Amyloid-ß (Aß) species (Aß fibrils and Aß plaques), as one of the typical pathological markers of Alzheimer's disease (AD), plays a crucial role in AD diagnosis. Currently, some near-infrared I (NIR I) Aß probes have been reported in AD diagnosis. However, they still face challenges such as strong background interference and the lack of effective probe design. In this study, we propose molecular design strategy that incorporates CN group and amphiphilic modulation to synthesize a series of amphiphilic NIR I Aß probes, surpassing the commercial probe ThT and ThS. Theoretical calculations indicate that these probes exhibit stronger interaction with amino acid residues in the cavities of Aß. Notably, the probes containing CN group display the ability of binding two distinct sites of Aß, which dramatically enhanced the affinity to Aß species. Furthermore, these probes exhibit minimal fluorescence in aqueous solution and offer ultra-high signal-to-noise ratio (SNR) for in vitro labeling, even in wash-free samples. Finally, the optimal probe DM-V2CN-PYC3 was utilized for in vivo imaging of AD mice, demonstrating its rapid penetration through the blood-brain barrier and labelling to Aß species. Moreover, it enabled long-term monitoring for a duration of 120 min. These results highlight the enhanced affinity and superior performance of the designed NIR I Aß probe for AD diagnosis. The molecular design strategy of CN and amphiphilic modulation presents a promising avenue for the development Aß probes with low background in vivo/in vitro imaging for Aß species.

Influence of perinatal factors on full-term low-birth-weight infants and construction of a predictive model.

BACKGROUND: Being too light at birth can increase the risk of various diseases during infancy. AIM: To explore the effect of perinatal factors on term low-birth-weight (LBW) infants and build a predictive model. This model aims to guide the clinical management of pregnant women's healthcare during pregnancy and support the healthy growth of newborns. METHODS: A retrospective analysis was conducted on data from 1794 single full-term pregnant women who gave birth. Newborns were grouped based on birth weight: Those with birth weight < 2.5 kg were classified as the low-weight group, and those with birth weight between 2.5 kg and 4 kg were included in the normal group. Multiple logistic regression analysis was used to identify the factors influencing the occurrence of full-term LBW. A risk prediction model was established based on the analysis results. The effectiveness of the model was analyzed using the Hosmer-Leme show test and receiver operating characteristic (ROC) curve to verify the accuracy of the predictions. RESULTS: Among the 1794 pregnant women, there were 62 cases of neonatal weight < 2.5 kg, resulting in an LBW incidence rate of 3.46%. The factors influencing full-term LBW included low maternal education level [odds ratio (OR) = 1.416], fewer prenatal examinations (OR = 2.907), insufficient weight gain during pregnancy (OR = 3.695), irregular calcium supplementation during pregnancy (OR = 1.756), and pregnancy hypertension syndrome (OR = 2.192). The prediction model equation was obtained as follows: Logit (P) = 0.348 × maternal education level + 1.067 × number of prenatal examinations + 1.307 × insufficient weight gain during pregnancy + 0.563 × irregular calcium supplementation during pregnancy + 0.785 × pregnancy hypertension syndrome - 29.164. The area under the ROC curve for this model was 0.853, with a sensitivity of 0.852 and a specificity of 0.821. The Hosmer-Leme show test yielded χ 2 = 2.185, P = 0.449, indicating a good fit. The overall accuracy of the clinical validation model was 81.67%. CONCLUSION: The occurrence of full-term LBW is related to maternal education, the number of prenatal examinations, weight gain during pregnancy, calcium supplementation during pregnancy, and pregnancy-induced hypertension. The constructed predictive model can effectively predict the risk of full-term LBW.

Outcomes of transcatheter closure for coronary artery fistulas with or without aneurysm: A comparative study.

BACKGROUND: Coronary Artery Fistulas (CAFs) Patients with aneurysm may face severe complications, necessitating prompt treatment. However, data on the outcomes of transcatheter closure in CAFs patients with aneurysm are notably scarce. METHODS: This retrospective study included all consecutive CAFs patients who underwent transcatheter closure at Fuwai Hospital from January 2010 to December 2023. Patients were divided into two groups based on the presence of aneurysm, and baseline characteristics, anatomical features, and transcatheter closure outcomes were further compared. RESULTS: The study ultimately included 104 patients, consisting of 56 in the aneurysm group and 48 in the non-aneurysm group. Patients in the aneurysm group were younger [39.79 (16.35) versus 50.69 (13.31) years, p < 0.001] and more frequently present with heart murmurs (21.43% vs. 6.25%, p = 0.03). Multivariate logistic regression indicated that a larger fistula diameter and the presence of CCFs are independent risk factors for the presence of aneurysm in CAF patients. The procedural success rate (75% vs. 75%, P = 1), fistula recanalization rate (11.11% vs. 16.67%, p = 0.42), and reintervention rate (3.7% vs. 6.25%, p = 0.89) were similar between the aneurysm and non-aneurysm groups. CONCLUSION: A larger fistula diameters and the presence of coronary-cameral fistulas are independent risk factors for the occurrence of aneurysms in patients with CAFs. The outcomes of transcatheter closure are comparable for CAFs patients with and without aneurysm, though post-closure thrombosis within the fistula appears to be more common in patients with aneurysm.

Urea Synthesis via Coelectrolysis of CO2 and Nitrate over Heterostructured Cu-Bi Catalysts.

Electrocatalytic coupling of CO2 and NO3- to urea is a promising way to mitigate greenhouse gas emissions, reduce waste from industrial processes, and store renewable energy. However, the poor selectivity and activity limit its application due to the multistep process involving diverse reactants and reactions. Herein, we report the first work to design heterostructured Cu-Bi bimetallic catalysts for urea electrosynthesis. A high urea Faradaic efficiency (FE) of 23.5% with a production rate of 2180.3 µg h-1 mgcat-1 was achieved in H-cells, which surpassed most reported electrocatalysts in the literature. Moreover, the catalyst had a remarkable recycling stability. Experiments and density functional theory calculations demonstrated that introduction of moderate Bi induced the formation of the Bi-Cu/O-Bi/Cu2O heterostructure with abundant phase boundaries, which are beneficial for NO3-, CO2, and H2O activation and enhance C-N coupling and promote *HONCON intermediate formation. Moreover, favorable *HNCONH2 protonation and urea desorption processes were also validated, further explaining the reason for high activity and selectivity toward urea.

Efficacy and safety of hepatic arterial infusion chemotherapy combined with fruquintinib and tislelizumab for patients with microsatellite stable colorectal cancer liver metastasis following failure of multiple-line therapy.

Background and aim: The prognosis of microsatellite stable (MSS)-colorectal cancer liver metastasis (CRCLM) following failure of multi-line therapy remains dismal. The aim of this study is to evaluate the efficacy and safety of hepatic arterial infusion chemotherapy (HAIC) plus fruquintinib and tislelizumab (HAIC-F-T treatment) for MSS-CRCLM which failed from multiple-line therapy. Methods: From February 2021 to June 2023, 45 patients with MSS-CRCLM after failure of multiple-line therapy who received HAIC combined with fruquintinib and tislelizumab (HAIC-F-T triple treatment) were enrolled. The combination therapy included HAIC regimens with oxaliplatin and 5-fluorouracil or irinotecan, oxaliplatin, and 5-fluorouracil on days 1-2, intravenous tislelizumab (200 mg) before HAIC on day 1, and oral fruquintinb (3 mg/d) on day 3-21, every 4 weeks. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method. Results: The follow-up ended on June 22, 2024, with a median follow-up time of 17.5 months. The objective response rate was 42.2%, and the disease control rate was 82.2%. The median OS was 15.3 months (95% confidence interval [CI]:12.634-17.966), and the median PFS was 7.5 months (95% CI:5.318-9.682). The independent risk factors related to worse OS were previous PD-1 immunotherapy (P = 0.021) and the number of HAIC-F-T triple treatment cycles of ≤ 2 (P = 0.007). The incidence of grade 3 or higher adverse events (AEs) was 20%, with the most frequent grade 3 or higher AEs being abdominal pain (3/45, 6.7%). Conclusion: HAIC combined with fruquintinib and tislelizumab may be an alternative salvage treatment for patients with MSS-CRCLM following failure of multiple-line therapy.

The kynurenine pathway regulated by intestinal innate lymphoid cells mediates postoperative cognitive dysfunction.

Postoperative cognitive dysfunction (POCD) is a prevalent neurological complication that can impair learning and memory for days, months, or even years after anesthesia/surgery. POCD is strongly associated with an altered composition of the gut microbiota (dysbiosis), but the accompanying metabolic changes and their role in gut-brain communication and POCD pathogenesis remain unclear. Here, the present study reports that anesthesia/surgery in aged mice induces elevated intestinal indoleamine 2,3-dioxygenase (IDO) expression and activity, which shifts intestinal tryptophan (TRP) metabolism toward more IDO-catalyzed kynurenine (KYN) and less gut bacteria-catabolized indoleacetic acid (IAA). Both anesthesia/surgery and intraperitoneal KYN administration induce increased KYN levels that correlate with impaired spatial learning and memory, whereas dietary IAA supplementation attenuates the anesthesia/surgery-induced cognitive impairment. Mechanistically, anesthesia/surgery increases interferon-γ (IFN-γ)-producing group 1 innate lymphoid cells (ILC1) in the small intestine lamina propria and elevates intestinal IDO expression and activity, as indicated by the higher ratio of KYN to TRP. The IDO inhibitor 1-MT and antibodies targeting IFN-γ or ILCs mitigate anesthesia/surgery-induced cognitive dysfunction, suggesting that intestinal ILC1 expansion and the ensuing IFN-γ-induced IDO upregulation may be the primary pathway mediating the shift to the KYN pathway in POCD. The ILC1-KYN pathway in the intestine could be a promising therapeutic target for POCD.

Instability of natural deep eutectic solvents (NADESs) induced by Amadori rearrangement and its effects on cryopreservation of yeast cells.

Natural deep eutectic solvents (NADESs) showing higher cryoprotective effects are attracting concerns, because during the storage, system browning always occurs in aldose/amino acid-based NADESs, which generated brown substances remarkably weaken the cryoprotective effects. In this study, proline/glucose-based (PG) and proline/sorbitol-based (PS) NADESs were prepared, of which storage stability, browning profile, brown substance, and cryoprotective effects were investigated. Results showed that PG at molar ratios of 1:1, 2:1, and 3:1, as well as PS at 1:1, and 2:1 can form NADESs, among which only the PG-based ones could get browning after storage. The predominant brown substance was identified as 1-deoxy-1-L-proline-d-fructose (C11H19O7N, 278 m/z), which was subsequently verified to show cytotoxicity and decrease Saccharomyces cerevisiae cells viability after cryopreservation, suggesting that the brown substance could take a negative effect on cryopreservation. This study may help to attract more concerns to the storage and cryopreservation stabilities of the NADESs in food-related applications.

His bundle pacing combined with atrioventricular node ablation for atrial fibrillation: a systematic review and meta-analysis.

INTRODUCTION AND OBJECTIVE: His bundle pacing (HBP) could replace failed biventricular pacing (BVP) in guidelines (IIa Indication), but the high capture thresholds and backup lead pacing requirements limit its development. We assessed the efficacy and safety of HBP combined with atrioventricular node ablation (AVNA) for atrial fibrillation (AF) and compared with BVP and left bundle branch pacing (LBBP). METHODS: We reviewed PubMed, Embase, Web of Science, and Cochrane Library databases on left ventricular ejection fraction (LVEF), New York Heart Association (NYHA) score, QRS duration (QRSd), and pacing threshold. RESULTS: Thirteen studies included 1115 patients (639 with HBP, 338 with BVP, and 221 with LBBP). Compared with baseline, HBP improved LVEF (mean difference [MD]: 9.24 [6.10, 12.37]; p < 0.01), reduced NYHA score (MD: -1.12 [-1.34, -0.91]; p < 0.01), increased QRSd (MD: 10.08 [4.45, 15.70]; p < 0.01), and rose pacing threshold (MD: 0.16 [0.05, 0.26]; p < 0.01). HBP had comparable efficacy to BVP and LBBP and lower QRSd (p < 0.05). HBP had a lower success rate (85.97%) and more complications (16.1%). CONCLUSION: HBP combined with AVNA is effective for AF, despite having a lower success rate and more complications. Further trials are required to determine whether HBP is superior to BVP and LBBP.

A Universal Synthesis of Single-Atom Catalysts via Operando Bond Formation Driven by Electricity.

Single-atom catalysts (SACs), featuring highly uniform active sites, tunable coordination environments, and synergistic effects with support, have emerged as one of the most efficient catalysts for various reactions, particularly for electrochemical CO2 reduction (ECR). However, the scalability of SACs is restricted due to the limited choice of available support and problems that emerge when preparing SACs by thermal deposition. Here, an in situ reconstruction method for preparing SACs is developed with a variety of atomic sites, including nickel, cadmium, cobalt, and magnesium. Driven by electricity, different oxygen-containing metal precursors, such as MOF-74 and metal oxides, are directly atomized onto nitrogen-doped carbon (NC) supports, yielding SACs with variable metal active sites and coordination structures. The electrochemical force facilitates the in situ generation of bonds between the metal and the supports without the need for additional complex steps. A series of MNxOy (M denotes metal) SACs on NC have been synthesized and utilized for ECR. Among these, NiNxOy SACs using Ni-MOF-74 as a metal precursor exhibit excellent ECR performance. This universal and general SAC synthesis strategy at room temperature is simpler than most reported synthesis methods to date, providing practical guidance for the design of the next generation of high-performance SACs.

Structured Deep Neural Network-Based Backstepping Trajectory Tracking Control for Lagrangian Systems.

Deep neural networks (DNNs) are increasingly being used to learn controllers due to their excellent approximation capabilities. However, their black-box nature poses significant challenges to closed-loop stability guarantees and performance analysis. In this brief, we introduce a structured DNN-based controller for the trajectory tracking control of Lagrangian systems using backing techniques. By properly designing neural network structures, the proposed controller can ensure closed-loop stability for any compatible neural network parameters. In addition, improved control performance can be achieved by further optimizing neural network parameters. Besides, we provide explicit upper bounds on tracking errors in terms of controller parameters, which allows us to achieve the desired tracking performance by properly selecting the controller parameters. Furthermore, when system models are unknown, we propose an improved Lagrangian neural network (LNN) structure to learn the system dynamics and design the controller. We show that in the presence of model approximation errors and external disturbances, the closed-loop stability and tracking control performance can still be guaranteed. The effectiveness of the proposed approach is demonstrated through simulations.

Prediction and interpretive of motor vehicle traffic crashes severity based on random forest optimized by meta-heuristic algorithm.

Providing accurate prediction of the severity of traffic collisions is vital to improve the efficiency of emergencies and reduce casualties, accordingly improving traffic safety and reducing traffic congestion. However, the issue of both the predictive accuracy of the model and the interpretability of predicted outcomes has remained a persistent challenge. We propose a Random Forest optimized by a Meta-heuristic algorithm prediction framework that integrates the spatiotemporal characteristics of crashes. Through predictive analysis of motor vehicle traffic crash data on interstate highways within the United States in 2020, we compared the accuracy of various ensemble models and single-classification prediction models. The results show that the Random Forest (RF) model optimized by the Crown Porcupine Optimizer (CPO) has the best prediction results, and the accuracy, recall, f1 score, and precision can reach more than 90 %. We found that factors such as Temperature and Weather are closely related to vehicle traffic crashes. Closely related indicators were analyzed interpretatively using a geographic information system (GIS) based on the characteristic importance ranking of the results. The framework enables more accurate prediction of motor vehicle traffic crashes and discovers the important factors leading to motor vehicle traffic crashes with an explanation. The study proposes that in some areas consideration should be given to adding measures such as nighttime lighting devices and nighttime fatigue driving alert devices to ensure safe driving. It offers references for policymakers to address traffic management and urban development issues.

Abdominal perfusion pressure is critical for survival analysis in patients with intra-abdominal hypertension: mortality prediction using incomplete data.

BACKGROUND: Abdominal perfusion pressure (APP) is a salient feature in the design of a prognostic model for patients with intra-abdominal hypertension (IAH). However, incomplete data significantly limits the size of the beneficiary patient population in clinical practice. Using advanced artificial intelligence methods, we developed a robust mortality prediction model with APP from incomplete data. METHODS: We retrospectively evaluated the patients with IAH from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Incomplete data were filled in using generative adversarial imputation nets (GAIN). Lastly, demographic, clinical, and laboratory findings were combined to build a 7-day mortality prediction model. RESULTS: We included 1354 patients in this study, of which 63 features were extracted. Data imputation with GAIN achieved the best performance. Patients with an APP< 60 mmHg had significantly higher all-cause mortality within 7 to 90 days. The difference remained significant in long-term survival even after propensity score matching (PSM) eliminated other mortality risks between groups. Lastly, the built machine learning model for 7-day modality prediction achieved the best results with an AUC of 0.80 in patients with confirmed IAH outperforming the other four traditional clinical scoring systems. CONCLUSIONS: APP reduction is an important survival predictor affecting the survival prognosis of patients with IAH. We constructed a robust model to predict the 7-day mortality probability of patients with IAH, which is superior to the commonly used clinical scoring systems.

An AP2/ERF transcription factor confers chilling tolerance in rice.

Cold stress, a prominent adverse environmental factor, severely hinders rice growth and productivity. Unraveling the complex mechanisms governing chilling tolerance in rice is crucial for molecular breeding of cold-tolerant varieties. Here, we identify an APETALA2/Ethylene Responsive Factor (AP2/ERF) transcription factor, OsERF52, as a positive modulator in response to low temperatures. OsERF52 directly regulates the expression of C-Repeat Binding Factor (CBF) genes in rice. In addition, Osmotic Stress/ABA-Activated Protein Kinase 9-mediated phosphorylation of OsERF52 at S261 enhances its stability and interaction with Ideal Plant Architecture 1 and OsbHLH002/OsICE1. This collaborative activation leads to the expression of OsCBFs, thereby initiating the chilling response in rice. Notably, plants with base-edited OsERF52S261D-3HA exhibit enhanced chilling resistance without yield penalty. Our findings unveil the mechanism orchestrated by a regulatory framework involving a protein kinase and transcription factors from diverse families, offering potential genetic resources for developing chilling-tolerant rice varieties.

Defect engineering synergistically boosts the catalytic activity of Fe-MoOv for highly efficient breast mesh antitumor therapy.

The demand for breast mesh with antitumor properties is critical in post-mastectomy breast reconstruction to prevent local tumor recurrence. Molybdenum-based oxide (MoOx) exhibits enzyme-like activities by catalyzing endogenous hydrogen peroxide to produce reactive oxygen species for inducing tumor cell apoptosis. However, its catalytic activity is limited by insufficient active sites. Herein, a defect engineering strategy is proposed to create redox nanozymes with multiple enzymatic activities by incorporating Fe into MoOx (Fe-MoOv). Fe-MoOv is subsequently integrated into polycaprolactone (PCL) to fabricate breast meshes for establishing an enzyme-catalyzed antitumor platform. The doping of Fe into MoOx formed numerous defect sites, including oxygen vacancies (OV) and Fe substitution sites, synergistically boosting the binding capacity and catalytic activity of Fe-MoOv. Density functional theory calculations demonstrated that the outstanding peroxidase-like catalytic activity of Fe-MoOv resulted from the synergy between OV and Fe sites. Additionally, OV contributes to the localized surface plasmon resonance effect, enhancing the photothermal capability of the PCL/Fe-MoOv mesh. Upon near-infrared laser exposure, the catalytic activity of the PCL/Fe-MoOv mesh is further improved, leading to increased generation of reactive oxygen species and enhanced antitumor efficacy, achieving 86.7% tumor cell mortality, a 264% enhancement compared to the PCL/MoOx mesh.

Investigation of bisphenol S (BPS) in packaged fish, meat, cheese, and price labels on their corresponding packages.

As an alternative to bisphenol A (BPA), bisphenol S (BPS) has been used as an ink developer in thermal paper products including price labels on food packaging which have been suggested as the sources of BPS found at high levels in packaged fish samples. BPS in the printed price labels glued onto the outside of plastic film could migrate indirectly from the printed surface through the paper, adhesive and film into the food. In order to investigate if price labels could also be the sources of BPS detected in the meat samples in our previous studies, meat and other food samples packaged under different conditions were collected, and BPS in these samples together with the price labels on the corresponding packaging were extracted with solvent followed by solid phase extraction and stable isotope dilution LC-MS/MS analysis. BPS was detected at very high levels (161.7-222.4 µg/cm2) in all the five sticker type of price labels, indicating BPS being the dominant if not the sole ink developer. BPS was also detected in all the 26 continuous roll type of price labels but at very low levels (0.017-18 ng/cm2), indicating that the dominant ink developer is likely one of the other alternatives, rather than BPS. Despite BPS being detected in all price labels on packaging of fish, meat, and cheese samples, BPS was not detected or detected in only a few fish, meat, and cheese samples at levels considerably lower than the current EU specific migration limit (SML) of 50 ng/g food for BPS authorised under Regulation (EU) 10/2011.