Phlorizin from Lithocarpus litseifolius [Hance] Chun ameliorates FFA-induced insulin resistance by regulating AMPK/PI3K/AKT signaling pathway.

BACKGROUND: Insulin resistance (IR) is the central pathophysiological feature in the pathogenesis of metabolic syndrome, obesity, type 2 diabetes mellitus (T2DM), hypertension, and dyslipidemia. As the main active ingredient in Lithocarpus litseifolius [Hance] Chun, previous studies have shown that phlorizin (PHZ) can reduce insulin resistance in the liver. However, the effect of phlorizin on attenuating hepatic insulin resistance has not been fully investigated, and whether this effect is related to AMPK remains unclear. PURPOSE: The present study aimed to further investigate the effect of phlorizin on attenuating insulin resistance and the potential action mechanism. METHODS: Free fatty acids (FFA) were used to induce insulin resistance in HepG2 cells. The effects of phlorizin and FFA on cell viability were detected by MTT analysis. Glucose consumption, glycogen synthesis, intracellular malondialdehyde (MDA), superoxide dismutase (SOD), total cholesterol (TC), and triglyceride (TG) contents were quantified after phlorizin treatment. Glucose uptake and reactive oxygen species (ROS) levels in HepG2 cells were assayed by flow cytometry. Potential targets and signaling pathways for attenuating insulin resistance by phlorizin were predicted by network pharmacological analysis. Moreover, the expression levels of proteins related to the AMPK/PI3K/AKT signaling pathway were detected by western blot. RESULTS: Insulin resistance was successfully induced in HepG2 cells by co-treatment of 1 mM sodium oleate (OA) and 0.5 mM sodium palmitate (PA) for 24 h. Treatment with phlorizin promoted glucose consumption, glucose uptake, and glycogen synthesis and inhibited gluconeogenesis in IR-HepG2 cells. In addition, phlorizin inhibited oxidative stress and lipid accumulation in IR-HepG2 cells. Network pharmacological analysis showed that AKT1 was the active target of phlorizin, and the PI3K/AKT signaling pathway may be the potential action mechanism of phlorizin. Furthermore, western blot results showed that phlorizin ameliorated FFA-induced insulin resistance by activating the AMPK/PI3K/AKT signaling pathway. CONCLUSION: Phlorizin inhibited oxidative stress and lipid accumulation in IR-HepG2 cells and ameliorated hepatic insulin resistance by activating the AMPK/PI3K/AKT signaling pathway. Our study proved that phlorizin played a role in alleviating hepatic insulin resistance by activating AMPK, which provided experimental evidence for the use of phlorizin as a potential drug to improve insulin resistance.

Association Between Outdoor Light at Night Exposure and Executive Function in Chinese Children.

BACKGROUND: Recent evidences highlight the potential impact of outdoor Light at Night (LAN) on executive function. However, few studies have investigated the association between outdoor LAN exposure and executive function. METHODS: We employed data from 48,502 Chinese children aged 5-12 years in a cross-sectional study conducted in Guangdong province during 2020-2021, to examine the association between outdoor LAN and executive function assessed using the validated parent-completed Behavior Rating Inventory of Executive Function. We assessed children's outdoor LAN exposure using the night-time satellite images based on the residential addresses. We used generalized linear mixed models to estimate the association between outdoor LAN exposure and executive function scores and executive dysfunction. RESULTS: After adjusting for potential covariates, higher quintiles of outdoor LAN exposure were associated with poorer executive function. Compared to the lowest quintile (Q1), all higher quintiles of exposure showed a significant increased global executive composite (GEC) score with ß (95% confidence intervals, CI) of 0.58 (0.28, 0.88) in Q2, 0.59 (0.28, 0.9) in Q3, 0.85 (0.54, 1.16) in Q4, and 0.76 (0.43, 1.09) in Q5. Higher quintiles of exposure were also associated with higher risks for GEC dysfunction with odd ratios (ORs) (95% CI) of 1.34 (1.18, 1.52) in Q2, 1.40 (1.24, 1.59) in Q3, 1.40 (1.23, 1.59) in Q4, and 1.39 (1.22, 1.58) in Q5. And stronger associations were observed in children aged 10-12 years. CONCLUSIONS: Our study suggested that high outdoor LAN exposure was associated with poor executive function in children. These findings suggested that future studies should determine whether interventions to reduce outdoor LAN exposure can have a positive effect on executive function.

Recombinant Human Follicle-Stimulating Hormone in Controlled Ovarian Hyperstimulation with Assisted Reproductive Technology in China: A Cost-Effectiveness Analysis.

Background: To compare the cost-effectiveness of originator (reference) recombinant human follicle stimulating hormone alfa (rhFSH-α) (follitropin alfa, GONAL-f) and its biosimilar (rhFSH, JinSaiHeng) in assisted reproductive technology (ART) from a Chinese patient perspective. Methods: A decision tree model was developed to simulate the treatment pathway of infertile women undergoing ART using GONAL-f or JinSaiHeng. Published clinical and cost data were used to evaluate the cost-effectiveness of the rhFSH-α. The cumulative live birth rate (CLBR), direct medical costs and costs per cumulative live birth were estimated via an analytic decision-tree model. Results: CLBR of GONAL-f was higher than JinSaiHeng preparation (88.3% vs 84.4%), while the cost per cumulative live birth was lower (51,475 vs 52,095 CNY). Conclusion: The originator rhFSH-α was associated with higher CLBR and lower cost per cumulative live birth, with incremental cost per additional live birth of 38,096 CNY (Chinese Yuan).

Light management by algal aggregates in living photosynthetic hydrogels.

Rapid progress in algal biotechnology has triggered a growing interest in hydrogel-encapsulated microalgal cultivation, especially for the engineering of functional photosynthetic materials and biomass production. An overlooked characteristic of gel-encapsulated cultures is the emergence of cell aggregates, which are the result of the mechanical confinement of the cells. Such aggregates have a dramatic effect on the light management of gel-encapsulated photobioreactors and hence strongly affect the photosynthetic outcome. To evaluate such an effect, we experimentally studied the optical response of hydrogels containing algal aggregates and developed optical simulations to study the resultant light intensity profiles. The simulations are validated experimentally via transmittance measurements using an integrating sphere and aggregate volume analysis with confocal microscopy. Specifically, the heterogeneous distribution of cell aggregates in a hydrogel matrix can increase light penetration while alleviating photoinhibition more effectively than in a flat biofilm. Finally, we demonstrate that light harvesting efficiency can be further enhanced with the introduction of scattering particles within the hydrogel matrix, leading to a fourfold increase in biomass growth. Our study, therefore, highlights a strategy for the design of spatially efficient photosynthetic living materials that have important implications for the engineering of future algal cultivation systems.

Melatonin application during cryopreservation improves the development and clinical outcomes of human vitrified-warmed oocytes.

In this clinical study, we investigated the potential of melatonin (MT) supplementation in the freeze-thaw medium used for cryopreserved human oocytes. In total, 152 patients who underwent in vitro fertilization between January 2020 and December 2022 were included and categorized into different groups as follows: the donor group, comprising 108 patients who donated their oocytes, with 34 patients using a vitrification and warming medium supplemented with MT (D-MT subgroup) and 74 patients using conventional medium without MT (D-0 subgroup); and the autologous group, comprising 38 patients who used their own oocytes, with 19 patients using medium supplemented with MT (A-MT subgroup) and 19 patients using medium without MT (A-0 subgroup). After thawing, the surviving oocytes in the D-MT and A-MT subgroups and D-0 and A-0 subgroups were cultured in a fertilization media with and without 10-9 MMT for 2.5 h, respectively, followed by intracytoplasmic sperm injection insemination, embryo culture, and transfer. The survival, cleavage, high-quality embryo, clinical pregnancy, ongoing pregnancy, and implantation rates were significantly higher in the D-MT subgroup than in the D-0 subgroup (all P < 0.05). Similarly, the survival, fertilization, high-quality embryo, and high-quality blastocyst rates were significantly higher in the A-MT subgroup than in the A-0 subgroup (all P < 0.05). These findings indicate that MT addition during cryopreservation can enhance the development of vitrified-warmed human oocytes and improve clinical outcomes.

Effectiveness of momentary intervention on influenza vaccination among the elderly in China: From willingness to action.

PURPOSE: To evaluate the impact of momentary intervention on the willingness and actual uptake of influenza vaccination among the elderly in China. METHODS: A cross-sectional study assessed the willingness of the elderly to receive influenza vaccination, and an momentary intervention aimed to increase vaccination willingness among those initially unwilling. The elderly reporting a willingness were offered free influenza vaccination through a community intervention program. RESULTS: A total of 3138 participants were recruited in this study, and 61.3 % (95 % CI 59.6 %-63.0 %) were willing to receive influenza vaccination at baseline. The willingness rate of influenza vaccination increased to 79.8 % (95 % CI 78.4 %-81.2 %), with an increase of 18.5 % (95 % CI 16.3 %-20.7 %) after momentary intervention. The influenza vaccination rate was 40.4 % (95 % CI 38.5 %-42.3 %) before and 53.9 % (95 % CI 52.0 %-55.8 %) after momentary intervention with an increase of 13.5 % (95 % CI 10.9 %-16.2 %). There was no significant difference in influenza vaccination rates between the initially willing people and those who changed to be willing to receive influenza vaccination after momentary intervention (vaccination rates: 78.0 % vs. 81.3 %). CONCLUSION: Momentary intervention has been shown to effectively enhance the willingness of the elderly to receive influenza vaccination, thereby facilitating the translation of this intention into actual behavior.

A novel subtype based on driver methylation-transcription in lung adenocarcinoma.

AIMS: To identify driver methylation genes and a novel subtype of lung adenocarcinoma (LUAD) by multi-omics and elucidate its molecular features and clinical significance. METHODS: We collected LUAD patients from public databases, and identified driver methylation genes (DMGs) by MethSig and MethylMix algrothms. And novel driver methylation multi-omics subtypes were identified by similarity network fusion (SNF). Furthermore, the prognosis, tumor microenvironment (TME), molecular features and therapy efficiency among subtypes were comprehensively evaluated. RESULTS: 147 overlapped driver methylation were identified and validated. By integrating the mRNA expression and methylation of DMGs using SNF, four distinct patterns, termed as S1-S4, were characterized by differences in prognosis, biological features, and TME. The S2 subtype showed unfavorable prognosis. By comparing the characteristics of the DMGs subtypes with the traditional subtypes, S3 was concentrated in proximal-inflammatory (PI) subtype, and S4 was consisted of terminal respiratory unit (TRU) subtype and PI subtype. By analyzing TME and epithelial mesenchymal transition (EMT) features, increased immune infiltration and higher expression of immune checkpoint genes were found in S3 and S4. While S4 showed higher EMT score and expression of EMT associated genes, indicating S4 may not be as immunosensitive as the S3. Additionally, S3 had lower TIDE and higher IPS score, indicating its increased sensitivity to immunotherapy. CONCLUSION: The driver methylation-related subtypes of LUAD demonstrate prognostic predictive ability that could help inform treatment response and provide complementary information to the existing subtypes.

Implementation of a Smart Teaching and Assessment System for High-Quality Cardiopulmonary Resuscitation.

The purpose of this study is to develop a smart training and assessment system called SmartCPR, for teaching and training cardiopulmonary resuscitation (CPR), based on human posture estimation techniques. In this system, trainees can automatically recognize and evaluate whether chest compressions during CPR meet the standard of high-quality CPR by simply using a device such as a smart phone. Through the system, trainees are able to obtain real-time feedback on the quality of compressions so that they can adjust the cycle, depth, frequency, and posture of compressions to meet the standard of high-quality CPR. In addition, the SmartCPR system is convenient for CPR trainers. Trainers can instantly and accurately assess whether the trainee's compressions meet the standard of high-quality CPR, which reduces the risk of manual assessment errors and also reduces the trainer's teaching pressures. Therefore, the SmartCPR system developed in this study can be an important tool for CPR teaching and training for physicians, which can provide training and guidance for high-quality CPR maneuvers and enable trainees to become more proficient in CPR and self-training.

Biodegradable Polymer Versus Polymer-Free Ultrathin Sirolimus-Eluting Stents: Analysis of the Stent Arm Registry From the HOST-IDEA Randomized Trial.

BACKGROUND: The efficacy and safety of each third-generation drug-eluting stent with ultrathin struts and advanced polymer technology remain unclear. We investigated the clinical outcomes of percutaneous coronary intervention using the Coroflex ISAR polymer-free sirolimus-eluting stent (SES) or Orsiro biodegradable polymer SES. METHODS: The HOST-IDEA trial (Harmonizing Optimal Strategy for Treatment of Coronary Artery Stenosis-Coronary Intervention With Next-Generation Drug-Eluting Stent Platforms and Abbreviated Dual Antiplatelet Therapy), initially designed with a 2×2 factorial approach, sought to randomize patients undergoing percutaneous coronary intervention based on dual antiplatelet therapy duration (3 versus 12 months) and stent type (Coroflex ISAR versus Orsiro). Despite randomizing 2013 patients for dual antiplatelet therapy duration, the stent arm transitioned to a registry format during the trial. Among these, 328 individuals (16.3%) were randomized for Coroflex ISAR or Orsiro SES, while 1685 (83.7%) underwent percutaneous coronary intervention without stent-type randomization. In this study, the Coroflex ISAR (n=559) and Orsiro groups (n=1449) were matched using a propensity score. The prespecified primary end point was target lesion failure, a composite of cardiac death, target vessel myocardial infarction, and clinically driven target lesion revascularization at 12 months. RESULTS: The baseline patient and procedural characteristics were well balanced between the Coroflex ISAR and Orsiro groups after propensity score matching (n=559, each group). The Coroflex ISAR group was significantly associated with a higher rate of target lesion failure, mainly driven by clinically driven target lesion revascularization, compared with the Orsiro group (3.4% versus 1.1%; hazard ratio, 3.21 [95% CI, 1.28-8.05]; P=0.01). A higher risk of target lesion failure in the Coroflex ISAR group was consistently observed across various subgroups. The rates of any bleeding (hazard ratio, 0.85 [95% CI, 0.51-1.40]; P=0.52) and major bleeding (hazard ratio, 1.58 [95% CI, 0.61-4.08]; P=0.34) were comparable between the 2 groups. CONCLUSIONS: In this propensity score-matched analysis of the stent arm registry from the HOST-IDEA trial, the Orsiro SES was associated with significantly better outcomes in terms of 1-year target lesion failure, mainly driven by clinically driven target lesion revascularization, than the Coroflex ISAR SES. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02601157.

Visible Light Photoredox-Catalyzed Formyl/Carboxylation of Activated Alkenes with Glyoxylic Acid Acetals and CO2.

A photoredox-catalyzed sequential α-formyl/carboxylation of alkenes with glyoxylic acid acetals and CO2 has been developed to afford a range of masked γ-formyl esters in good yields, which could be readily transformed into diverse compounds, such as γ-formyl ester, hemiacetal, and 1,4-diol. This reaction features mild conditions, readily available starting materials, and operational simplicity.

Sn-based film electrodeposited on Ag foil for selective electrochemical CO2 reduction to CO.

Electrochemical CO2 reduction (ECR) to valuable chemicals and fuels using renewable energy is a promising way to reduce carbon emission. Herein, Sn-based films were electrodeposited on Ag foil surfaces (Sn/Ag-y) for selective ECR to CO, where y represented the concentration of SnCl2 in the electrodeposition bath. The Sn/Ag-20 electrode achieved a high CO faradaic efficiency of 96.0% with a current density of 69.3 mA cm-2. The enhanced catalytic performance could be attributed to appropriate superficial properties, large electrochemical active surface areas, low charge transfer resistance, efficient stabilization capacity of the CO2˙- intermediates, and suitable combination with electrolytes.

Lightweight Low-Rank Adaptation Vision Transformer Framework for Cervical Cancer Detection and Cervix Type Classification.

Cervical cancer is a major health concern worldwide, highlighting the urgent need for better early detection methods to improve outcomes for patients. In this study, we present a novel digital pathology classification approach that combines Low-Rank Adaptation (LoRA) with the Vision Transformer (ViT) model. This method is aimed at making cervix type classification more efficient through a deep learning classifier that does not require as much data. The key innovation is the use of LoRA, which allows for the effective training of the model with smaller datasets, making the most of the ability of ViT to represent visual information. This approach performs better than traditional Convolutional Neural Network (CNN) models, including Residual Networks (ResNets), especially when it comes to performance and the ability to generalize in situations where data are limited. Through thorough experiments and analysis on various dataset sizes, we found that our more streamlined classifier is highly accurate in spotting various cervical anomalies across several cases. This work advances the development of sophisticated computer-aided diagnostic systems, facilitating more rapid and accurate detection of cervical cancer, thereby significantly enhancing patient care outcomes.

Schisandrin B protect inner hair cells from cisplatin by inhibiting celluar oxidative stress and apoptosis.

Cisplatin is an effective chemotherapeutic agent; however, ototoxicity is one of its negative effects that greatly limits the use of cisplatin in clinical settings. Previous research has shown that the most important process cisplatin damage to inner ear cells, such as hair cells (HCs), is the excessive production and accumulation of ROS. Schisandrin B (SchB), is a low-toxicity, inexpensive, naturally occurring antioxidant with a variety of pharmacological effects. Therefore, the potential antioxidant effects of SchB may be useful for cisplatin ototoxicity treatment. In this study, the effects of SchB on cochlear hair cell viability, ROS levels, and expression of apoptosis-related molecules were evaluated by CCK-8, immunofluorescence, flow cytometry, and qRT-PCR, as well as auditory brainstem response (ABR) and dysmorphic product otoacoustic emission (DPOAE) tests to assess the effects on inner ear function. The results showed that SchB treatment increased cell survival, prevented apoptosis, and reduced cisplatin-induced ROS formation. SchB treatment reduced the loss of cochlear HCs caused by cisplatin in exosome culture. In addition, SchB treatment attenuated cisplatin-induced hearing loss and HC loss in mice. This study demonstrates the ability of SchB to inhibit cochlear hair cell apoptosis and ROS generation and shows its potential therapeutic effect on cisplatin ototoxicity.

Epidemiology of malignant tumors in patients with pemphigus: an analysis of trends from 1955 to 2021.

BACKGROUND: The incidence of malignant tumors has increased in patients with non-paraneoplastic pemphigus, although there has been no systematic analysis of global epidemiology. OBJECTIVE: To explore the epidemiology of various types of non-paraneoplastic pemphigus associated with malignant tumors. METHODS: Five databases from establishment through October 20, 2023, were searched. STATA SE 17 was used for the data analysis. Subgroup, meta-regression, and sensitivity analyses were used to evaluate the heterogeneity of pooled studies. RESULTS: A total of 6679 participants were included in our meta-analysis from 16 studies. The aggregated prevalence of tumors in patients diagnosed with pemphigus was 8%. The prevalence was 7% in patients with pemphigus vulgaris, 10% in those with pemphigus foliaceus, and 12% in individuals diagnosed with other types of pemphigus. The prevalence was 8% in Asia, 11% in Europe, and 8% in North America. From a country-specific perspective, patients with pemphigus from Israel, Greece, and Germany exhibited a higher prevalence of tumors at 11%. Furthermore, when categorized by the duration of the study period, the highest prevalence was observed in studies spanning 10 to 20 years, at 11%. CONCLUSION: These findings demonstrate the incidence and prevalence of malignant tumors in patients with non-paraneoplastic pemphigus, which may achieve early detection and intervention, and then reduce mortality rates.

Lipidome is a valuable tool for the severity prediction of coronavirus disease 2019.

Objective: To describe the lipid metabolic profile of different patients with coronavirus disease 2019 (COVID-19) and contribute new evidence on the progression and severity prediction of COVID-19. Methods: This case-control study was conducted in Peking University Third Hospital, China. The laboratory-confirmed COVID-19 patients aged ≥18 years old and diagnosed as pneumonia from December 2022 to January 2023 were included. Serum lipids were detected. The discrimination ability was calculated with the area under the curve (AUC). A random forest (RF) model was conducted to determine the significance of different lipids. Results: Totally, 44 COVID-19 patients were enrolled with 16 mild and 28 severe patients. The top 5 super classes were triacylglycerols (TAG, 55.9%), phosphatidylethanolamines (PE, 10.9%), phosphatidylcholines (PC, 6.8%), diacylglycerols (DAG, 5.9%) and free fatty acids (FFA, 3.6%) among the 778 detected lipids from the serum of COVID-19 patients. Certain lipids, especially lysophosphatidylcholines (LPCs), turned to have significant correlations with certain immune/cytokine indexes. Reduced level of LPC 20:0 was observed in severe patients particularly in acute stage. The AUC of LPC 20:0 reached 0.940 in discriminating mild and severe patients and 0.807 in discriminating acute and recovery stages in the severe patients. The results of RF models also suggested the significance of LPCs in predicting the severity and progression of COVID-19. Conclusion: Lipids probably have the potential to differentiate and forecast the severity, progression, and clinical outcomes of COVID-19 patients, with implications for immune/inflammatory responses. LPC 20:0 might be a potential target in predicting the progression and outcome and the treatment of COVID-19.

TERC promotes non-small cell lung cancer progression by facilitating the nuclear localization of TERT.

The core of telomerase consists of the protein subunit telomerase reverse transcriptase (TERT) and the telomerase RNA component (TERC). So far, the role of TERC in cancer development has remained elusive. Here, we found TERC expression elevated in non-small cell lung cancer (NSCLC) tissues, which was associated with disease progression and poor prognosis in patients. Using NSCLC cell lines and xenograft models, we showed that knockdown of TERC caused cell cycle arrest, and inhibition of cell proliferation and migration. Mechanistically, TERC was exported to the cytoplasm by nuclear RNA export factor 1 (NXF1), where it mediated the interaction of TERT with other telomerase subunits. Depletion of TERC hindered the assembly and subsequent nuclear localization of the telomerase complex, preventing TERT from functioning in telomere maintenance and transcription regulation. Our findings suggest that TERC is a potential biomarker for NSCLC diagnosis and prognosis and can be a target for NSCLC treatment.

Chronic Obstructive Pulmonary Disease Exacerbations Increase the Risk of Subsequent Cardiovascular Events: A Longitudinal Analysis of the COPDGene Study.

BACKGROUND: Cardiovascular disease (CVD) is the most important comorbidity in patients with chronic obstructive pulmonary disease (COPD). COPD exacerbations not only contribute to COPD progression but may also elevate the risk of CVD. This study aimed to determine whether COPD exacerbations increase the risk of subsequent CVD events using up to 15 years of prospective longitudinal follow-up data from the COPDGene (Genetic Epidemiology of Chronic Obstructive Pulmonary Disease) study. METHODS AND RESULTS: The COPDGene study is a large, multicenter, longitudinal investigation of COPD, including subjects at enrollment aged 45 to 80 years with a minimum of 10 pack-years of smoking history. Cox proportional hazards models and Kaplan-Meier survival curves were used to assess the risk of a composite end point of CVD based on the COPD exacerbation rate. Frequent exacerbators exhibited a higher cumulative incidence of composite CVD end points than infrequent exacerbators, irrespective of the presence of CVD at baseline. After adjusting for covariates, frequent exacerbators still maintained higher hazard ratios (HRs) than the infrequent exacerbator group (without CVD: HR, 1.81 [95% CI, 1.47-2.22]; with CVD: HR, 1.92 [95% CI, 1.51-2.44]). This observation remained consistently significant in moderate to severe COPD subjects and the preserved ratio impaired spirometry population. In the mild COPD population, frequent exacerbators showed a trend toward more CVD events. CONCLUSIONS: COPD exacerbations are associated with an increased risk of subsequent cardiovascular events in subjects with and without preexisting CVD. Patients with COPD experiencing frequent exacerbations may necessitate careful monitoring and additional management for subsequent potential CVD. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT00608764.

Injectable bio-multifunctional hyaluronic acid-based hydrogels loaded with poly ADP-ribose polymerase inhibitors for ovarian cancer therapy.

The recent use of PARP inhibitors (PARPi) in the maintenance treatment of ovarian tumor has significantly improved the survival rates of cancer patients. However, the current oral administration of PARP inhibitors fails to realize optimal therapeutic effects due to the low bioavailability in cancerous tissues, and often leads to a range of systemic adverse effects including hematologic toxicities, digestive system reactions, and neurotoxicities. Therefore, the demand for an advanced drug delivery system that can ensure effective drug administration while minimizing these unfavorable reactions is pressing. Injectable hydrogel emerges as a promising solution for local administration with the capability of sustainable drug release. In this study, we developed an injectable hydrogel made from aminated hyaluronic acid and aldehyde-functionalized pluronic127 via Schiff base reaction. This hydrogel exhibits excellent injectability with short gelation time and remarkable self-healing ability, and is applied to load niraparib. The drug-loaded hydrogel (HP@Nir hydrogel) releases drugs sustainably as tested in vitro as well as displays significant anti-proliferation and anti-migratory properties on human epithelial ovarian cancer cell line. Notably, HP@Nir hydrogel effectively suppresses the growth of ovarian cancer, without significant adverse reactions as demonstrated in animal studies. Additionally, the developed hydrogel is gradually degraded in vivo for around 20 d, while maintaining good biocompatibility. Overall, the injectable hydrogel loaded with niraparib provides a secure and efficient strategy for the treatment and management of ovarian cancer.

RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition.

OBJECTIVES: This article aims to enhance the performance of larger language models (LLMs) on the few-shot biomedical named entity recognition (NER) task by developing a simple and effective method called Retrieving and Chain-of-Thought (RT) framework and to evaluate the improvement after applying RT framework. MATERIALS AND METHODS: Given the remarkable advancements in retrieval-based language model and Chain-of-Thought across various natural language processing tasks, we propose a pioneering RT framework designed to amalgamate both approaches. The RT approach encompasses dedicated modules for information retrieval and Chain-of-Thought processes. In the retrieval module, RT discerns pertinent examples from demonstrations during instructional tuning for each input sentence. Subsequently, the Chain-of-Thought module employs a systematic reasoning process to identify entities. We conducted a comprehensive comparative analysis of our RT framework against 16 other models for few-shot NER tasks on BC5CDR and NCBI corpora. Additionally, we explored the impacts of negative samples, output formats, and missing data on performance. RESULTS: Our proposed RT framework outperforms other LMs for few-shot NER tasks with micro-F1 scores of 93.50 and 91.76 on BC5CDR and NCBI corpora, respectively. We found that using both positive and negative samples, Chain-of-Thought (vs Tree-of-Thought) performed better. Additionally, utilization of a partially annotated dataset has a marginal effect of the model performance. DISCUSSION: This is the first investigation to combine a retrieval-based LLM and Chain-of-Thought methodology to enhance the performance in biomedical few-shot NER. The retrieval-based LLM aids in retrieving the most relevant examples of the input sentence, offering crucial knowledge to predict the entity in the sentence. We also conducted a meticulous examination of our methodology, incorporating an ablation study. CONCLUSION: The RT framework with LLM has demonstrated state-of-the-art performance on few-shot NER tasks.