bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fallopia Japonica and Prunella vulgaris inhibit myopia progression by suppressing AKT and NFκB mediated inflammatory reactions
Authors: Chen Chih-Sheng , Hsu Yu-An , Lin Chia-Hung , Wang Yao-Chien , Lin En-Shyh , Chang Ching-Yao , Chen Jamie Jiin-Yi , Wu Ming-Yen , Lin Hui-Ju , Wan Lei 
Published: October 2022

Abstract
Background
The increased global incidence of myopia requires the establishment of therapeutic approaches. This study aimed to investigate the effect of Fallopia Japonica (FJ) and Prunella vulgaris (PV) extract on myopia caused by monocular form deprivation (MFD).

Methods
We used human retinal pigment epithelial cell to study the molecular mechanisms on how FJ extract (FJE) and PV extract (PVE) lowering the inflammation of the eye. The effect of FJE and PVE in MFD induced hamster model and explore the role of inflammation cytokines in myopia.

Results
FJE + PVE reduced IL-6, IL-8, and TNF-α expression in RPE cells. Furthermore, FJE and PVE inhibited inflammation by attenuating the phosphorylation of protein kinase B (AKT), and nuclear factor kappa-light-chain-enhancer of activated B (NF-κB) pathway. In addition, we report two resveratrol + ursolic acid compounds from FJ and PV and their inhibitory activities against IL-6, IL-8, and TNF-α expression levels in RPE cells treated with IL-6 and TNF-α. FJE, PVE, and FJE + PVE were applied to MFD hamsters and their axial length was measured after 21 days. The axial length showed statistically significant differences between phosphate-buffered saline- and FJE-, PVE-, and FJE + PVE-treated MFD eyes. FJE + PVE suppressed expressions of IL-6, IL-8, and TNF-α. They also inhibited myopia-related transforming growth factor-beta (TGF)-β1, matrix metalloproteinase (MMP)-2, and NF-κB expression while increasing type I collagen expression.

Conclusions
Overall, these results suggest that FJE + PVE may have a therapeutic effect on myopia and be used as a potential treatment option.
Perceptions and experiences of medical student first responders: a mixed methods study
Authors: Orsi Andrew , Watson Adam , Wijegoonewardene Nimali , Botan Vanessa , Lloyd Dylan , Dunbar Nic , Asghar Zahid , Siriwardena A Niroshan 
Published: October 2022

AbstractContextMedical Student First Responders (MSFRs) are volunteers who respond to emergency calls, managing patients before ambulance staff attend. The MSFR role provides opportunities to manage acutely unwell patients in the prehospital environment, not usually offered as part of formal undergraduate medical education. There are few previous studies describing activities or experiences of MSFRs or exploring the potential educational benefits. We aimed to investigate the activity of MSFRs and explore their experiences, particularly from an educational perspective.MethodsWe used a mixed methods design, combining quantitative analysis of ambulance dispatch data with qualitative semi-structured interviews of MSFRs. Dispatch data were from South Central and East Midlands Ambulance Service NHS Trusts from 1st January to 31st December 2019. Using propensity score matching, we compared incidents attended by MSFRs with those attended by other Community First Responders (CFRs) and ambulance staff. We interviewed MSFRs from five English (UK) medical schools in those regions about their experiences and perceptions and undertook thematic analysis supported by NVivo 12.ResultsWe included 1,939 patients (median age 58.0 years, 51% female) attended by MSFRs. Incidents attended were more urgent category calls (category 1 n = 299, 14.9% and category 2 n = 1,504, 77.6%), most commonly for chest pain (n = 275, 14.2%) and shortness of breath (n = 273, 14.1%). MSFRs were less likely to attend patients of white ethnicity compared to CFRs and ambulance staff, and more likely to attend incidents in areas of higher socioeconomic deprivation (IMD – index of multiple deprivation) (p < 0.05). Interviewees (n = 16) consistently described positive experiences which improved their clinical and communication skills.ConclusionMSFRs’ attendance at serious medical emergencies provide a range of reported educational experiences and benefits. Further studies are needed to explore whether MSFR work confers demonstrable improvements in educational or clinical performance.
AGuIX nanoparticles enhance ionizing radiation-induced ferroptosis on tumor cells by targeting the NRF2-GPX4 signaling pathway
Authors: Sun Hao , Cai Hui , Xu Chang , Zhai Hezheng , Lux François , Xie Yi , Feng Li , Du Liqing , Liu Yang , Sun Xiaohui , Wang Qin , Song Huijuan , He Ningning , Zhang Manman , Ji Kaihua , Wang Jinhan , Gu Yeqing , Leduc Géraldine , Doussineau Tristan , Wang Yan , Liu Qiang , Tillement Olivier 
Published: October 2022

AbstractIn the frame of radiotherapy treatment of cancer, radioresistance remains a major issue that still needs solutions to be overcome. To effectively improve the radiosensitivity of tumors and reduce the damage of radiation to neighboring normal tissues, radiosensitizers have been given increasing attention in recent years. As nanoparticles based on the metal element gadolinium, AGuIX nanoparticles have been shown to increase the radiosensitivity of cancers. Although it is a rare nanomaterial that has entered preclinical trials, the unclear biological mechanism hinders its further clinical application. In this study, we demonstrated the effectiveness of AGuIX nanoparticles in the radiosensitization of triple-negative breast cancer. We found that AGuIX nanoparticles increased the level of DNA damage by compromising the homologous recombination repair pathway instead of the non-homologous end joining pathway. Moreover, the results showed that AGuIX nanoparticles induced apoptosis, but the degree of apoptosis ability was very low, which cannot fully explain their strong radiosensitizing effect. Ferroptosis, the other mode of cell death, was also discovered to play a significant role in radiation sensitization, and AGuIX nanoparticles may regulate the anti-ferroptosis system by inhibiting the NRF2-GSH-GPX4 signaling pathway.
Graphical Abstract
The expression of stromal biomarkers in small papillary thyroid carcinomas
Authors: Bayadsi Haytham , Barghout George , Gustafsson Moa , Sund Malin , Hennings Joakim 
Published: October 2022

AbstractBackgroundThe importance of stroma for tumor progression is recognized for many cancer types. In this study, we aim to evaluate the expression of types I (Col1) and IV (Col4) collagens, alpha-smooth muscle actin (a-SMA), and matrix metallopeptidase 9 (MMP-9) in the tumor stroma of small papillary thyroid carcinoma (PTC).Material and methodsTwenty-five non-metastatic small PTCs (pT1N0) and nineteen metastatic small PTCs (pT1N1b) including corresponding metastatic lateral lymph nodes were selected and paraffinized tissue blocks retrieved. The samples were stained for Col1, COL4, a-SMA, and MMP-9 antibodies using immunohistochemistry. The expression of the stromal proteins was scored and analyzed based on the location, intensity, and distribution.ResultsCol1 and Col4 expression were significantly higher in normal thyroid tissue compared to PTC tissue. On the contrary, expression of a-SMA and MMP-9 was higher in PTC tissue compared to normal thyroid tissue. Both Col1 and Col4 were significantly more highly expressed in the non-metastatic tumors compared with metastatic tumors. The expression of a-SMA and MMP9 was slightly, but not significantly, higher in the metastasized tumors and their respective lymph nodes. There was a significant correlation between the metastasized tumors and their respective lymph nodes in Col1 and MMP-9 expression.ConclusionsCol1, Col4, a-SMA, and MMP-9 expression in PTCs differs significantly from that of normal thyroid tissue. The higher expression of Col1 and Col4 in normal thyroid tissue and in the non-metastasized tumors indicates that Col1 and 4 might have a potential protective role in tumor progression. The higher expression of a-SMA and MMP9 in PTCs indicates that these proteins might have a role in promoting PTC progression and aggressiveness.
Effect of high-fat diet and empagliflozin on cardiac proteins in mice
Authors: Pan Xiaoyu , Chen Shuchun , Chen Xing , Ren Qingjuan , Yue Lin , Niu Shu , Li Zelin , Zhu Ruiyi , Chen Xiaoyi , Jia Zhuoya , Zhen Ruoxi , Ban Jiangli 
Published: October 2022

AbstractUsing proteomic techniques the impact of the sodium-glucose transport protein 2 inhibitor empagliflozin on cardiac protein expression in a mouse model was assessed under normal and high-fat diet (HFD) conditions. We examined the effect of obesity on serological markers and heart function in obese mice treated with or without empagliflozin and used proteomic techniques to investigate alterations in cardiac protein expression. Using bioinformatic techniques, data were screened for differentially expressed proteins (DEPs) implicated in the putative mechanism of empagliflozin's cardioprotective effects. In C57BL/6 mice, HFD increased body weight, blood lipid, and glucose levels and was associated with structural damage to the heart. Empagliflozin reduces body weight, improves glucose and lipid metabolism, alleviates obesity-induced cardiac ventricular wall thickening, and lowers cardiac tissue collagen. The expression of several proteins was altered in the heart, mainly related to lipid metabolism. Following empagliflozin treatment, the expression of several lipid metabolism-related proteins was considerably reduced. Further examination of DEPs revealed that following empagliflozin treatment, the expressions of Apoe, Apoc1, Saa2, Apoa2, and Pon1 altered dramatically, suggesting that these proteins may be the main proteins that empagliflozin uses to treat obesity-induced aberrant lipid metabolism. Empagliflozin may protect the heart by altering the expression of genes including Apoe, Apoc1, Saa2, Apoa2, and Pon1, which are all involved in lipid metabolism disturbance in obesity.
Toxicokinetic study following intratracheal instillation or oral gavage of two [7Be]-tagged carbon black samples
Authors: Creutzenberg Otto , Hammann Volker , Wolf Stefanie , Daul Jürgen , Ngiewih Yufanyi , Chaudhuri Ishrat , Levy Len 
Published: October 2022

Abstract
Background
The toxicokinetic behaviour of nanostructured particles following pulmonary or oral deposition is of great scientific interest. In this toxicokinetic study, following the general principles of OECD TG 417, the systemic availability of carbon black, a nanostructured material consisting of agglomerated aggregates was characterised.

Methods
Each of two grades of beryllium-7 labelled carbon black (Monarch® 1000, oxidized and Printex® 90; untreated) was administered either intratracheally or orally to adult rats. Independent of route, rats received a single dose of approximately 0.3 mg radiolabelled carbon black. A total of 12 rats were treated per grade and per exposure route: 4 females each for feces/urine/organs and serial blood kinetics; 4 males for organs. At necropsy, the complete suite of organs was analysed for females, but only the lungs, liver, kidney, reproductive organs for males.

Results
In the pulmonarily exposed animals, 7Be-Monarch® 1000 and 7Be-Printex® 90 was detected in feces in the first 3 days after treatment at significant levels, i.e. 17.6% and 8.2%, respectively. In urine, small percentages of 6.7% and 0.4% were observed, respectively. In blood, radioactivity, representative of carbon black was within the background noise of the measurement method. At necropsy, 20 days post-instillation, both test items were practically exclusively found in lungs (75.1% and 91.0%, respectively) and in very small amounts (approximately 0.5%) in the lung-associated lymph nodes (LALN). In the other organs/tissues the test item was not detectable. BAL analyses indicated that carbon black particles were completely engulfed by alveolar macrophages.
In orally exposed animals, 98% (7Be-Monarch® 1000) and 99% (7Be-Printex® 90) of the measured radioactivity was detected in feces. Excretion was complete within the first 3 days following treatment. 1.3% and 0.5% of measured activity was attributable to urine in animals that received 7Be-Monarch® 1000 and 7Be-Printex® 90, respectively. Radioactivity was absent in blood and other organs and tissues.

Conclusion
Radioactivity, representative of carbon black, was not detected beyond the experimentally defined limit of quantitation systemically after deposition in lungs or stomach in rats. Under these experimental conditions, the two CB samples were not shown to translocate beyond the lung or the GI tract into the blood compartment.
Microcirculatory alterations in critically ill COVID-19 patients analyzed using artificial intelligence
Authors: Hilty Matthias Peter , Favaron Emanuele , Wendel Garcia Pedro David , Ahiska Yavuz , Uz Zuhre , Akin Sakir , Flick Moritz , Arbous Sesmu , Hofmaenner Daniel A. , Saugel Bernd , Endeman Henrik , Schuepbach Reto Andreas , Ince Can 
Published: October 2022

Abstract
Background
The sublingual microcirculation presumably exhibits disease-specific changes in function and morphology. Algorithm-based quantification of functional microcirculatory hemodynamic variables in handheld vital microscopy (HVM) has recently allowed identification of hemodynamic alterations in the microcirculation associated with COVID-19. In the present study we hypothesized that supervised deep machine learning could be used to identify previously unknown microcirculatory alterations, and combination with algorithmically quantified functional variables increases the model’s performance to differentiate critically ill COVID-19 patients from healthy volunteers.

Methods
Four international, multi-central cohorts of critically ill COVID-19 patients and healthy volunteers (n = 59/n = 40) were used for neuronal network training and internal validation, alongside quantification of functional microcirculatory hemodynamic variables. Independent verification of the models was performed in a second cohort (n = 25/n = 33).

Results
Six thousand ninety-two image sequences in 157 individuals were included. Bootstrapped internal validation yielded AUROC(CI) for detection of COVID-19 status of 0.75 (0.69–0.79), 0.74 (0.69–0.79) and 0.84 (0.80–0.89) for the algorithm-based, deep learning-based and combined models. Individual model performance in external validation was 0.73 (0.71–0.76) and 0.61 (0.58–0.63). Combined neuronal network and algorithm-based identification yielded the highest externally validated AUROC of 0.75 (0.73–0.78) (P < 0.0001 versus internal validation and individual models).

Conclusions
We successfully trained a deep learning-based model to differentiate critically ill COVID-19 patients from heathy volunteers in sublingual HVM image sequences. Internally validated, deep learning was superior to the algorithmic approach. However, combining the deep learning method with an algorithm-based approach to quantify the functional state of the microcirculation markedly increased the sensitivity and specificity as compared to either approach alone, and enabled successful external validation of the identification of the presence of microcirculatory alterations associated with COVID-19 status.
CEF3 is involved in membrane trafficking and essential for secondary cell wall biosynthesis and its mutation enhanced biomass enzymatic saccharification in rice
Authors: Jiang Hongrui , Ren Yan , Guo Junyao , Yang Huijie , Zhu Xiaotong , Li Wenhao , Tao Liangzhi , Zhan Yue , Wang Qi , Wu Yuejin , Liu Binmei , Ye Yafeng 
Published: October 2022

Abstract
Background
As one of the most important staple food crops, rice produces large of agronomic biomass residues that contain lots of secondary cell walls (SCWs). Membrane trafficking plays key roles in SCWs biosynthesis, but information association membrane trafficking and SCWs formation in plants is limited.

Results
In this study, we report the function characterization of a rice mutant, culm easily fragile 3 (cef3), that exhibits growth retardation and fragile culm phenotype with significantly altered cell wall composition and reduced secondary wall thickness. Map-based cloning revealed that CEF3 encodes a homologous protein of Arabidopsis STOMATAL CYTOKINESIS DEFECTIVE2 (SCD2). The saccharification assays revealed that CEF3 mutation can improve biomass enzymatic saccharification. Expression pattern analysis indicated that CEF3 is ubiquitously expressed in many organs at different developmental stages. Subcellular localization revealed that CEF3 is a Golgi-localized protein. The FM4-64 uptake assay revealed CEF3 is involved in endocytosis. Furthermore, mutation of CEF3 not only affected cellulose synthesis-related genes expression, but also altered the abundance of cellulose synthase catalytic subunit 9 (OsCESA9) in the PM and in the endomembrane systems.

Conclusions
This study has demonstrated that CEF3 participates in the membrane trafficking that is essential for normal cellulose and other polysaccharides biosynthesis of the secondary cell wall, thereby manipulation of CEF3 could alter cellulose content and enhance biomass enzymatic saccharification in rice plants. Therefore, the study of the function of CEF3 can provide a strategy for genetic modification of SCWs in bioenergy crops.
Exploring the potential of the model cyanobacterium Synechocystis PCC 6803 for the photosynthetic production of various high-value terpenes
Authors: Blanc-Garin Victoire , Chenebault Célia , Diaz-Santos Encarnación , Vincent Marine , Sassi Jean-François , Cassier-Chauvat Corinne , Chauvat Franck 
Published: October 2022

Abstract
Background
The robust model cyanobacterium Synechocystis PCC 6803 is increasingly explored for its potential to use solar energy, water and atmospheric CO2 for the carbon-neutral production of terpenes, the high-value chemicals that can be used for the production of drugs, flavors, fragrances and biofuels. However, as terpenes are chemically diverse, it is extremely difficult to predict whether Synechocystis is a suitable chassis for the photosynthetic production of various terpenes or only a few of them.

Results
We have performed the first-time engineering and comparative analysis of the best-studied cyanobacterium Synechocystis PCC 6803 for the photosynthetic production of five chemically diverse high-value terpenes: two monoterpenes (C10H16) limonene (cyclic molecule) and pinene (bicyclic), and three sesquiterpenes (C15H24) bisabolene (cyclic), farnesene (linear) and santalene (cyclic). All terpene producers appeared to grow well and to be genetically stable, as shown by the absence of changes in their production levels during the 5–9-month periods of their sub-cultivation under photoautotrophic conditions). We also found that Synechocystis PCC 6803 can efficiently and stably produce farnesene and santalene, which had never been produced before by this model organism or any other cyanobacteria, respectively. Similar production levels were observed for cells growing on nitrate (the standard nitrogen source for cyanobacteria) or urea (cheaper than nitrate). Furthermore, higher levels of farnesene were produced by cloning the heterologous farnesene synthase gene in a RSF1010-derived replicating plasmid as compared to the well-used slr0168 neutral cloning site of the chromosome.

Conclusions
Altogether, the present results indicate that Synechocystis PCC 6803 is better suited to produce sesquiterpenes (particularly farnesene, the most highly produced terpene of this study) than monoterpenes (especially pinene).
Differences in trajectory of disease activity according to biologic and targeted synthetic disease-modifying anti-rheumatic drug treatment in patients with rheumatoid arthritis
Authors: Koo Bon San , Eun Seongho , Shin Kichul , Hong Seokchan , Kim Yong-Gil , Lee Chang-Keun , Yoo Bin , Oh Ji Seon 
Published: October 2022

Abstract

Background

The purpose of this study was to stratify patients with rheumatoid arthritis (RA) according to the trend of disease activity by trajectory-based clustering and to identify contributing factors for treatment response to biologic and targeted synthetic disease-modifying anti-rheumatic drugs (DMARDs) according to trajectory groups.

Methods
We analyzed the data from a nationwide RA cohort from the Korean College of Rheumatology Biologics and Targeted Therapy registry. Patients treated with second-line biologic and targeted synthetic DMARDs were included. Trajectory modeling for clustering was used to group the disease activity trend. The contributing factors using the machine learning model of SHAP (SHapley Additive exPlanations) values for each trajectory were investigated.

Results
The trends in the disease activity of 688 RA patients were clustered into 4 groups: rapid decrease and stable disease activity (group 1, n = 319), rapid decrease followed by an increase (group 2, n = 36), slow and continued decrease (group 3, n = 290), and no decrease in disease activity (group 4, n = 43). SHAP plots indicated that the most important features of group 2 compared to group 1 were the baseline erythrocyte sedimentation rate (ESR), prednisolone dose, and disease activity score with 28-joint assessment (DAS28) (SHAP value 0.308, 0.157, and 0.103, respectively). The most important features of group 3 compared to group 1 were the baseline ESR, DAS28, and estimated glomerular filtration rate (eGFR) (SHAP value 0.175, 0.164, 0.042, respectively). The most important features of group 4 compared to group 1 were the baseline DAS28, ESR, and blood urea nitrogen (BUN) (SHAP value 0.387, 0.153, 0.144, respectively).

Conclusions
The trajectory-based approach was useful for clustering the treatment response of biologic and targeted synthetic DMARDs in patients with RA. In addition, baseline DAS28, ESR, prednisolone dose, eGFR, and BUN were important contributing factors for 4-year trajectories.