bluuebunny/crossref_metadata_2025_split huggingface dataset:
miRNA-96-5p alleviates liver fibrosis by targeting FN1 and inhibiting ECM-receptor interaction pathway
Authors: Zhang Yong , Gu Tengfei , Jiang Yuhang , Song Chao , Wang Rong , Xu Sanrong , Zhu Xinguo 
Published: May 2022

Abstract
Background The abnormal expression of microRNAs (miRNAs) was involved in the pathological process of liver fibrosis, but their accurate molecular mechanisms remain to be fully clarified.Aim To evaluate the role of miRNA-96-5p (miR-96-5p) in hepatic stellate cells (HSCs) activation and liver fibrosis.Methods The differentially expressed mRNAs (DEMs) and signal pathways about hepatic fibrosis were analyzed and screened from Gene Expression Omnibus (GEO) database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to evaluate the biological significance and enriched pathways of the DEMs. The upstream miRNAs of DEMs were predicted by bioinformatics websites. The regulatory effects of miRNA on liver fibrosis through the target gene were verified in HSCs and in mouse CCl\(_4\)-induced liver fibrosis models.Results ECM-receptor interaction pathway was the most enriched pathway related to liver fibrosis through the GO and KEGG analysis of GEO database. Fibronectin1 (FN1) was up-regulated most significantly in the ECM-receptor pathway. Besides, miR-96-5p was considered to be the direct regulated miRNA of FN1 by bioinformatics websites prediction, qRT-PCR, Western blotting, and dual luciferase reporter assay. Finally, the effects of miR-96-5p up-regulation inhibit the activation of HSCs and alleviate CCl4-induced liver fibrosis by regulating FN1 and the ECM-receptor interaction pathway were confirmed in mice.Conclusions Our findings indicate that the up-regulation of miR-96-5p can inhibit activity of HSCs and alleviate liver fibrosis by inhibiting FN1 and ECM-receptor interaction pathway.
Useful vertical latissimus dorsi flap for partial breast reconstruction in every tumor location
Authors: Lee Jong Ho , Ryu Jeong Yeop , Choi Kang Young , Yang Jung Dug , Chung Ho Yun , Cho Byung Chae , Kang Byungju , Lee Jeeyeon , Park Ho Yong , Lee Joon Seok 
Published: May 2022

Abstract
BackgroundWe conducted a prospective cohort study to evaluate effective technique for breast reconstruction after partial mastectomy due to breast cancer. Depending on the location of the cancer and the amount excised, what method to employ is often difficult to determine. Here, we present a new technique, using the vertical LD flap, that can be used in all partial mastectomies and can almost hide scarring. We also compare these results to the mini-LD flap. MethodsWe analyzed a total of 50 and 47 patients, who underwent breast reconstruction with the mini-LD flap and the vertical LD flap, respectively. Immediately after cancer excision, work on reconstruction began. The skin flap for vertical LD was designed in a planaria shape, such that it may be hidden as much as possible and minimize bulging during closure, and the LD muscle flap was designed with a sufficient distance in the inferior direction.ResultsOur finding showed that the vertical LD flap group required significantly less total operation time than the mini-LD flap group. While the mini-LD flap resulted in a scar that was difficult to hide, the donor site scar of the vertical LD flap could not be seen easily, and no scar was visible on the back. ConclusionsThe vertical LD flap is capable of all partial breast reconstruction, can reconstruct defects in all breast regions, and requires a rather small volume of the flap. The patients show relatively fast recovery after the operation and high patient satisfaction.
A new Schiff base derivative based on the ratiometric fluorescent chemosensor for detection of Mg2+ ions and Spectroscopy applications
Authors: Marimuthu Pitchai , Ramu Andy 
Published: May 2022

Abstract
A novel ratiometric fluorescence sensor, (E)-N'-((8-hydroxyquinolin-2-yl) methylene) thiophene-2-carbohydrazide has been constructed for the selective and sensitive detection of Mg2+ ion. Fluorescence sensing of Mg2+ is highly solvent as well as imine structure dependent. It showed a significant fluorescence ratiometric towards Mg2+ions. The receptor 8-HQC-2TCH exhibited a good binding constant and lowest detection limit for Mg2+. These phenomena result from the rapid coordination between Mg2+ and 8-HQC-2TCH in the presence of Mg2+, which leads to the theoretical ratiometric of the fluorescence of probe. On the basis of these findings, ratiometric fluorescence sensor for the detection of Mg2+ ion reveals a good linear response to Mg2+ ranging from 0 to 60 mM with a detection limit of 3.9 x 10-7 M. Furthermore, the sensing assay is applicable to detecting Mg2+ in real samples.
Anti-hyperalgesic effects of photobiomodulation therapy (904 nm) on streptozotocin-induced diabetic neuropathy: A role for MAPK pathway and calcium dynamics
Authors: Vieira Willians Fernando , Malange Kauê Franco , de Magalhães Silviane Fernandes , Lemes Júlia Borges Paes , Santos Gilson Gonçalves dos , Nishijima Catarine Massucato , de Oliveira Alexandre Leite Rodrigues , Cruz-Höfling Maria Alice da , Parada Carlos Amilcar , Tambeli Cláudia Herrera 
Published: May 2022

Abstract
Several recent studies have established the efficacy of photobiomodulation therapy (PBMT) in painful clinical conditions. Diabetic neuropathy (DN) can be related to activating mitogen-activated protein kinases (MAPK), such as p38, in the peripheral nerve. MAPK pathway is activated in response to extracellular stimuli, including interleukins TNF-α and IL-1β. We verified the pain relief potential of PBMT in streptozotocin (STZ)-induced diabetic neuropathic rats and its influence on the MAPK pathway regulation and calcium (Ca2+) dynamics. We then observed that PBMT applied to the L4-L5 dorsal root ganglion (DRG) region reduced the intensity of hyperalgesia, decreased TNF-α and IL-1β levels, and p38-MAPK mRNA expression in DRG of diabetic neuropathic rats. DN induced the activation of phosphorylated p38 (p-38) MAPK co-localized with TRPV1+ neurons; PBMT partially prevented p-38 activation. DN was related to an increase of p38-MAPK expression due to proinflammatory interleukins, and the PBMT (904 nm) treatment counteracted this condition. Also, the sensitization of DRG-neurons by the hyperglycemic condition demonstrated during the Ca2+ dynamics was reduced by PBMT, contributing to its anti-hyperalgesic effects.
Novel Prognosis and Therapeutic response model of Immune-related lncRNA pairs in Clear Cell Renal Cell Carcinoma
Authors: Wang Gang , Liu Panhong , Li Jiangfeng , Jin Ke , Zheng Xiangyi , Xie Liping 
Published: May 2022

Abstract
Background
Clear cell renal cell carcinoma (ccRCC) is the most common type of renal carcinoma. It is particularly important to accurately judge the prognosis of patients. Since most tumor prediction models depend on the specific expression level of related genes. Therefore, a better model needs to be constructed.
Objective
To provide an immune-related lncRNA (irlncRNAs) tumor prognosis model, which independent of the specific gene expression levels.
Methods
First, we downloaded and sorted out the data of ccRCC in TCGA database and screened irlncRNAs by co-expression analysis, and then obtained the differently expressed irlncRNA (DEirlncRNA) pairs by univariate analysis. In addition, we modified Lasso penalized regression. Subsequently, the ROC curve was drawn, compare the area under the curve, calculate the Akaike information standard value of the 5-year receiver operating characteristic curve, and determine the cut-off point to establish the best model to distinguish the high- or low-disease-risk group of ccRCC. Subsequently, we reassessed the model from the perspectives of survival, clinic-pathological characteristics, tumor-infiltrating immune cells, chemotherapeutics efficacy, and immunosuppressed biomarkers.
Results
A total of 17 DEirlncRNAs pairs were identified, all of them were included in the Cox regression model. With the cut-off point, we can better distinguish patients according to different factors, such as survival status, invasive clinic-pathological features, tumor immune infiltration, whether chemotherapy is sensitive or not, and expression of immunosuppressive biomarkers.
Conclusion
We constructed irlncRNA model by pairing, which can better get rid of the dependence on the expression level of the target genes, to obtain a better clinical prediction.
Short-lived booster effect and stable CD8+ T cell memory after 3rd COVID-19 vaccine dose
Authors: Reinscheid Matthias , Luxenburger Hendrik , Karl Vivien , Graeser Anne , Giese Sebastian , Ciminski Kevin , Reeg David , Oberhardt Valerie , Röhlen Natascha , Lang-Meli Julia , Heim Kathrin , Gross Nina , Baum Christina , Rieg Siegbert , Speer Claudius , Emmerich Florian , Breisinger Susanne , Steinmann Daniel , Bengsch Bertram , Boettler Tobias , Kochs Georg , Schwemmle Martin , Thimme Robert , Neumann-Haefelin Christoph , Hofmann Maike 
Published: May 2022

Abstract
Reports of waning immunity after COVID-19 vaccination (1-3) have recently led to large booster vaccination campaigns. Previous studies showed that basic immunization with two mRNA vaccine doses elicits a robust spike-specific CD8+ T cell response (4-6). The effect of mRNA booster vaccination on the spike-specific CD8+ T cell response remains, however, unclear. Indeed, very little is known about the efficacy, duration and effects on long-term immunity and recall responses in breakthrough infections. In this study, we show that spike-specific CD8+ T cells are immediately and vigorously activated and expanded in all tested individuals after the 3rd and 4th mRNA vaccine shots. However, this CD8+ T cell boost response is characterized by a steep contraction and lasts only for about 30-60 days compared to a prolonged contraction after natural infection. Booster vaccination did not affect long-term spike-specific CD8+ T cell immunity reflected by a stable stem cell memory pool that already reached maximum frequencies after basic immunization. Accordingly, rapid and full-fledged recall responses of boosted spike-specific CD8+ T cells were detectable after breakthrough infection with delta and omicron. Thus, in addition to the previously reported cross-reactivity (7-12) also a robust activation and effector response determines the efficacy of the CD8+ T cell response targeting emerging variants of concern. Neutralizing antibody responses displayed hardly any boost effect towards omicron, further highlighting the relevance of spike-specific CD8+ T cell immunity. In sum, these data will inform future vaccination strategies facing the next COVID-19 wave expected for late 2022/early 2023.
Bioactive Volatile Compounds from Penicillium digitatum-Infected Apples: Oviposition Attractants for Yellow Peach Moth Conogethes punctiferalis (Lepidoptera: Crambidae)
Authors: Guo Honggang , Miao Shuangzhen , Ai Pengpeng , Zhang Minzhao , Yan Zhe , Yan Zengguang , Du Yanli 
Published: May 2022

Abstract
Plant-associated microbes critically shape the dynamics of plant- and insect-associated communities. In previous studies, we reported that the yellow peach moth Conogethes punctiferalis (YPM) preferred to Penicillium digitatum-infected apples (PDA) for oviposition. However, the underlying mechanisms remains unclear. In the present study, the behavioral and physiological experiments were conducted to determine how P. digitatum affects the oviposition selection of YPM females via altering host plant volatile organic compounds (VOCs). YPM females were attracted to and laid more eggs on PDA than on fungi non-infected apples (NIA), mechanically damaged apples (MDA), and P. digitatum in potato dextrose agar medium (PPD). Four-arm olfactometer assays further confirmed that odors in PDA were responsible for the attractiveness of YPM females. PCA of the 38 VOCs revealed a clear separation of PDA from NIA, MDA, and PPD, including methyl 2-methylbutyrate, styrene, methyl caproate, butyl caprylate, and n-tetradecane that were specifically emitted by PDA. Moreover, when P. digitatum-induced specific VOCs in individual or synthetic blends consisting of methyl 2-methylbutyrate, butyl caprylate, or n-tetradecane were added to apples, a significant selection rate of YPM females choosing apples occurred, suggesting that these three specific VOCs acted as predominant olfactory signals for YPM females to PDA. Taken together, the microbe P. digitatum was an important driver of the interactions between YPMs and host plants by altering plant volatiles. These findings may form the basis for developing attractant baits for field trapping YPMs in the future.
Is Babesiosis a Rare Zoonosis in Spain? Its Impact on the Spanish Health System Over 23 Years.
Authors: Almeida Hugo , López-Bernus Amparo , Rodríguez-Alonso Beatriz , Alonso-Sardón Montserrat , Romero-Alegría Ángela , Velasco-Tirado Virginia , Pardo-Lledias Javier , Muro Antonio , Belhassen-García Moncef 
Published: May 2022

Abstract
Background
Babesiosis is a zoonosis caused by an intraerythrocytic protozoan of the genus Babesia and transmitted mainly by ticks of the Ixodes spp. complex. There is no comprehensive global incidence in the literature, although the United States, Europe and Asia are considered to be endemic areas. In Europe, the percentage of ticks infected with Babesia spp. ranges from 0.78–51.78%. The incidence of babesiosis in hospitalized patients in Spain is 2.35%. The mortality rate is estimated to be approximately 9% in hospitalized patients but can reach 20% if the disease is transmitted by transfusion.
Objective
To analyze the epidemiological impact of inpatients diagnosed with babesiosis on the National Health System (SNS) of Spain between 1997 and 2019.
Methodology:
A retrospective longitudinal descriptive study that included inpatients diagnosed with babesiosis [ICD-9-CM code 088.82, ICD-10 code B60.0, cases ap2016-2019] in public Spanish NHS hospitals between 1 January 1997 and 31 December 2019 was developed. Data were obtained from the minimum basic dataset (CMBD in Spanish), which was provided by the Ministerio de Sanidad, Servicios Sociales e Igualdad after the receipt of a duly substantiated request and the signing of a confidentiality agreement.
Main findings:
Twenty-nine inpatients diagnosed with babesiosis were identified in Spain between 1997 and 2019 (IR: 0.28 cases/10,000,000 person-years). A total of 82.8% of the cases were men from urban areas who were approximately 46 years old. The mean hospital stay was 20.3 ± 19.2 days, with an estimated cost of €186,925.66. A total of 55.2% of the cases were primary diagnoses, and 79.3% of the cases were hospital readmissions. The mortality rate was 6.9%, which accounted for 2 cases, and both cases had a secondary diagnosis.
Conclusions
Human babesiosis is still a rare zoonosis in Spain, with an incidence rate that has been increasing over the years. Most cases occurred in middle-aged men from urban areas between summer and autumn. The Castilla-La-Mancha and Extremadura regions recorded the highest number of cases. Given the low rate of primary diagnoses and the high number of readmissions, a low clinical suspicion is likely. There was a 6.9% mortality in our study, and 100% of the fatal cases were patients with secondary diagnoses of the disease.
Machine Learning Models to Accelerate the Design of Polymeric Long-Acting Injectables
Authors: Bannigan Pauric , Bao Zeqing , HICKMAN RILEY , Aldeghi Matteo , Häse Florian , Aspuru-Guzik Alán , Allen Christine 
Published: May 2022

Abstract
Long-acting injectables are considered one of the most promising therapeutic strategies for the treatment of chronic diseases as they can afford improved therapeutic efficacy, safety, and patient compliance. The use of polymer materials in such a drug formulation strategy can offer unparalleled diversity owing to the ability to synthesize materials with a wide range of properties. However, the interplay between multiple parameters, including the physicochemical properties of the drug and polymer, make it very difficult to intuitively predict the performance of these systems. This necessitates the development and characterization of a wide array of formulation candidates through extensive and time-consuming in vitro experimentation. Machine learning is enabling leap-step advances in a number of fields including drug discovery and materials science. The current study takes a critical step towards data driven drug formulation development with an emphasis on long-acting injectables. A series of machine learning algorithms were trained and refined for accurate prediction of experimental drug release profiles. Analysis of the best performing model uncovered the properties of the drug and polymer that were identified to be key determinants of drug release. This information can be used to identify promising drug-polymer combinations that result in long-acting injectables with specific drug release behaviour. Importantly, implementation of this data driven approach has the potential to reduce the time, cost and resources associated with formulation development. Datasets and relevant codes used to train the machine learning models have been made openly available to encourage implementation in future drug formulation efforts.
Patient-Reported Supportive Care Needs among Asian American Cancer Patients
Authors: Wang Katarina , Ma Carmen , Li Feng Ming , Truong Angeline , Shariff-Marco Salma , Chu Janet N. , Oh Debora L. , Allen Laura , Kuo Mei-Chin , Wong Ching , Bui Hoan , Chen Junlin , Gomez Scarlett L , Nguyen Tung T. , Tsoh Janice Y. 
Published: May 2022

Abstract
Purpose
Cancer is the leading cause of death for Asian Americans. However, few studies have documented supportive care needs from the perspective of Asian American cancer patients. This study describes the needs reported by Asian American patients with colorectal, liver, or lung cancer over a 6-month period during their treatment.
Methods
Participants were recruited through the Greater Bay Area Cancer Registry and from cancer care providers in San Francisco. Participants self-identified as Asian or Asian American; age 21 or older; speak English, Chinese, or Vietnamese; and have stage I-III colon, rectum, liver, or lung cancer. Participants were matched with a language concordant patient navigator who provided support during a 6-month period. Needs were assessed by surveys at baseline, 3- and 6-months.
Results
Among 24 participants, 58% were 65 years or older, 42% did not complete high school, and 75% had limited English proficiency (LEP). At baseline, the most prevalent needs were cancer information (79%), nutrition and physical activity resources (67%), language assistance (54%), and daily living (50%). At the 3- and 6-month follow-up surveys, there was a higher reported need for mental health resources and healthcare access among participants.
Conclusion
In this pilot study of Asian American cancer patients who predominantly had LEP, participants reported many needs, with cancer information and language assistance as the most prominent. The findings highlight the importance of culturally and linguistically appropriate patient navigators in addressing supportive care needs among cancer patients with LEP.
Trial registration
ClinicalTrails.gov Identifier: NCT03867916
Random sampling associated with microbial profiling leads to overestimated stochasticity inference in community assembly
Authors: Ma Kai , Tu Qichao 
Published: May 2022

Abstract
Revealing the mechanisms governing the complex community assembly over space and time is a central issue in ecology. Null models have been developed to quantitatively disentangle the relative importance of deterministic vs. stochastic processes in structuring the compositional variations of biological communities. Similar approaches have been recently extended to the field of microbial ecology. However, the profiling of highly diverse biological communities (e.g. microbial communities) is severely influenced by random sampling issues, leading to undersampled community profiles and overestimated β-diversity, which may further affect stochasticity inference in community assembly. By implementing simulated datasets, this study demonstrated that microbial stochasticity inference was also affected due to random sampling issues associated with microbial profiling. The effects on microbial stochasticity inference for the whole community and the abundant subcommunities were different using different randomization methods in generating null communities. The stochasticity of rare subcommunities, however, was persistently overestimated no matter which randomization method was used. Comparatively, the stochastic ratio approach was more sensitive to random sampling issues, whereas the Raup-Crick metric was more affected by randomization methods. As more studies begin to focus on the mechanisms governing abundant and rare subcommunities, we urge cautions be taken for microbial stochasticity inference based on β-diversity, especially for rare subcommunities. Randomization methods to generate null communities shall also be carefully selected. When necessary, the cutoff used for judging the relative importance of deterministic vs. stochastic processes shall be redefined.
Development and validation a pyroptosis related gene prognostic index for metastatic urothelial carcinoma based on immune checkpoint blockade therapy
Authors: Lin Jiaxing , Ding Mengting , Qin# Caipeng , Song Yuxuan , Han Jingli , Yang Wenbo , Du Yiqing , Xu Tao 
Published: May 2022

Abstract
Background
Immune checkpoint blockade (ICB) therapy has become a first-line treatment option for metastatic urothelial carcinoma (mUC) patients who do not meet the criteria of cisplatin. Still, only a few people can benefit from it, so useful predictive markers are needed.
Methods
Download the ICB-based mUC and chemotherapy-based bladder cancer cohorts, and extract the expression data of pyroptosis-related genes (PRG). The LASSO algorithm was used to construct the PRG prognostic index (PRGPI) in the mUC cohort, and we verified the prognostic ability of PRGPI in two mUC and two bladder cancer cohorts.
Results
Most of the PRG in the mUC cohort were immune-activated genes, and a few were immunosuppressive genes. The PRGPI composed of GZMB, IRF1, and TP63 can stratify the risk of mUC. In IMvigor210 and GSE176307 cohorts, the P-values of Kaplan Meier analysis was < 0.01 and 0.002, respectively. PRGPI could also predict ICB response, and the chi-square test of the two cohorts had P-values of 0.002 and 0.046, respectively. In addition, PRGPI can also predict the prognosis of two bladder cancer cohorts based on chemotherapy. The PRGPI and the expression of PDCD1 / CD274 had a high degree of synergistic correlation. The Low PRGPI group showed prominent characteristics of immune infiltration and was enriched in the immune signal activation pathway.
Conclusion
The PRGPI we constructed can effectively predict the treatment response and overall survival rate of mUC patients treated with ICB. The PRGPI can help mUC patients achieve individualized and accurate treatment in the future.