bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatiotemporal quantitative microRNA-155 imaging reports immune-mediated changes in a triple-negative breast cancer model
Authors: Skourti Elena , Volpe Alessia , Lang Cameron , Johnson Preeth , Panagaki Fani , Fruhwirth Gilbert O. 
Published: June 2023

IntroductionMicroRNAs are small non-coding RNAs and represent key players in physiology and disease. Aberrant microRNA expression is central to the development and progression of cancer, with various microRNAs proposed as potential cancer biomarkers and drug targets. There is a need to better understand dynamic microRNA expression changes as cancers progress and their tumor microenvironments evolve. Therefore, spatiotemporal and non-invasive in vivo microRNA quantification in tumor models would be highly beneficial.MethodsWe developed an in vivo microRNA detector platform in which the obtained signals are positively correlated to microRNA presence, and which permitted stable expression in cancer cells as needed for long-term experimentation in tumor biology. It exploits a radionuclide-fluorescence dual-reporter for quantitative in vivo imaging of a microRNA of choice by radionuclide tomography and fluorescence-based downstream ex vivo tissue analyses. We generated and characterized breast cancer cells stably expressing various microRNA detectors and validated them in vitro.ResultsWe found the microRNA detector platform to report on microRNA presence in cells specifically and accurately, which was independently confirmed by real-time PCR and through microRNA modulation. Moreover, we established various breast tumor models in animals with different levels of residual immune systems and observed microRNA detector read-outs by imaging. Applying the detector platform to the progression of a triple-negative breast cancer model, we found that miR-155 upregulation in corresponding tumors was dependent on macrophage presence in tumors, revealing immune-mediated phenotypic changes in these tumors as they progressed.ConclusionWhile applied to immunooncology in this work, this multimodal in vivo microRNA detector platform will be useful whenever non-invasive quantification of spatiotemporal microRNA changes in living animals is of interest.
Targeted chitosan nanobubbles as a strategy to down-regulate microRNA-17 into B-cell lymphoma models
Authors: Capolla Sara , Argenziano Monica , Bozzer Sara , D’Agaro Tiziana , Bittolo Tamara , De Leo Luigina , Not Tarcisio , Busato Davide , Dal Bo Michele , Toffoli Giuseppe , Cavalli Roberta , Gattei Valter , Bomben Riccardo , Macor Paolo 
Published: June 2023

IntroductionMicroRNAs represent interesting targets for new therapies because their altered expression influences tumor development and progression. miR-17 is a prototype of onco-miRNA, known to be overexpressed in B-cell non-Hodgkin lymphoma (B-NHL) with peculiar clinic-biological features. AntagomiR molecules have been largely studied to repress the regulatory functions of up-regulated onco-miRNAs, but their clinical use is mainly limited by their rapid degradation, kidney elimination and poor cellular uptake when injected as naked oligonucleotides.MethodsTo overcome these problems, we exploited CD20 targeted chitosan nanobubbles (NBs) for a preferential and safe delivery of antagomiR17 to B-NHL cells.ResultsPositively charged 400 nm-sized nanobubbles (NBs) represent a stable and effective nanoplatform for antagomiR encapsulation and specific release into B-NHL cells. NBs rapidly accumulated in tumor microenvironment, but only those conjugated with a targeting system (antiCD20 antibodies) were internalized into B-NHL cells, releasing antagomiR17 in the cytoplasm, both in vitro and in vivo. The result is the down-regulation of miR-17 level and the reduction in tumor burden in a human-mouse B-NHL model, without any documented side effects.DiscussionAnti-CD20 targeted NBs investigated in this study showed physico-chemical and stability properties suitable for antagomiR17 delivery in vivo and represent a useful nanoplatform to address B-cell malignancies or other cancers through the modification of their surface with specific targeting antibodies.
A rare early-onset neonatal case of Birk-Barel syndrome presenting severe obstructive sleep apnea: a case report
Authors: Zhang Qian , Qin Zhen , Hu Ruolan , Li Yifei , Yang Fan , Li Jinrong 
Published: June 2023

BackgroundBirk-Barel syndrome, also known as KCNK9 imprinting syndrome, is a rare fertility disorder. And the main clinical manifestations include congenital hypotonic, craniofacial malformation, developmental delay, and intellectual disability. Generally, such patients could be diagnosed beyond the infant period. Moreover, the delayed diagnosis might lead to a poor prognosis of rehabilitation therapy. However, neonatal obstructive sleep apnea (OSA) was seldom reported in Birk-Barel syndrome. Here, we reported a severe neonatal OSA case induced by Birk-Barel syndrome, resulting in an early diagnosis with improved outcomes by integrative management.Case presentationThe proband was a neonate presenting with recurrent severe OSA, with craniofacial deformity and congenital muscle hypotonia. Bronchoscopy examinations indicated a negative finding of pharyngeal and bronchus stenosis, while laryngomalacia had been observed. Whole exon sequencing demonstrated a c. 710C&gt;A heterozygous variant resulting in a change of amino acid (p.A237D). This variant resulted in a change of amino acid sequence, affected protein features and changed splice site leading to a structural deformation in KCNK9 protein. This p.A237D variant also affected the crystal structure on the p.G129 site. Additionally, we used the mSCM tool to measure the free energy changes between wild-type and mutant protein, which indicated highly destabilizing (−2.622 kcal/mol).ConclusionThis case report expands the understanding of Birk-Barel syndrome and indicates that OSA could serve as the on-set manifestation of Birk-Barel syndrome. This case emphasized genetic variants which were associated with severe neonatal OSA. Adequate WES assessment promotes early intervention and improves the prognosis of neurological disorders in young children.
Comparisons of artificial intelligence algorithms in automatic segmentation for fungal keratitis diagnosis by anterior segment images
Authors: Li Dong-Jin , Huang Bing-Lin , Peng Yuan 
Published: June 2023

PurposeThis study combines automatic segmentation and manual fine-tuning with an early fusion method to provide efficient clinical auxiliary diagnostic efficiency for fungal keratitis.MethodsFirst, 423 high-quality anterior segment images of keratitis were collected in the Department of Ophthalmology of the Jiangxi Provincial People's Hospital (China). The images were divided into fungal keratitis and non-fungal keratitis by a senior ophthalmologist, and all images were divided randomly into training and testing sets at a ratio of 8:2. Then, two deep learning models were constructed for diagnosing fungal keratitis. Model 1 included a deep learning model composed of the DenseNet 121, mobienet_v2, and squeezentet1_0 models, the least absolute shrinkage and selection operator (LASSO) model, and the multi-layer perception (MLP) classifier. Model 2 included an automatic segmentation program and the deep learning model already described. Finally, the performance of Model 1 and Model 2 was compared.ResultsIn the testing set, the accuracy, sensitivity, specificity, F1-score, and the area under the receiver operating characteristic (ROC) curve (AUC) of Model 1 reached 77.65, 86.05, 76.19, 81.42%, and 0.839, respectively. For Model 2, accuracy improved by 6.87%, sensitivity by 4.43%, specificity by 9.52%, F1-score by 7.38%, and AUC by 0.086, respectively.ConclusionThe models in our study could provide efficient clinical auxiliary diagnostic efficiency for fungal keratitis.
Safety and efficacy of laparoscopic digestive tract nutrition reconstruction combined with conversion therapy for patients with unresectable and obstructive gastric cancer
Authors: Ye Rong , Wang Chuandong , Hu Bo , Guan Guoxian 
Published: June 2023

BackgroundTo explore the safety, efficacy, and survival benefits of laparoscopic digestive tract nutrition reconstruction (LDTNR) combined with conversion therapy in patients with unresectable gastric cancer with obstruction.MethodsThe clinical data of patients with unresectable gastric cancer with obstruction who was treated in Fujian Provincial Hospital from January 2016 to December 2019, were analyzed. LDTNR was performed according to the type and degree of obstruction. All patients received the epirubicin + oxaliplatin + capecitabine regimen as conversion therapy.ResultsThirty-seven patients with unresectable obstructive gastric cancer underwent LDTNR, while thirty-three patients received chemotherapy only. In LDTNR group patients, the proportion of nutritional risks gradually decreased, the rate of severe malnutrition decreased, the proportion of neutrophil-lymphocyte ratio (NLR) &lt;2.5 increased, the proportion of prognosis nutrition index (PNI) ≥45 increased, and the Spitzer QOL Index significantly increased at day 7 and 1 month postoperatively (P&lt;0.05). One patient (6.3%) developed grade III anastomotic leakage and was discharged after the endoscopic intervention. The median chemotherapy cycle of patients in LDTNR group was 6 cycles (2-10 cycles), higher than that in Non-LDTNR group (P&lt;0.001). Among those who received LDTNR therapy, 2 patients had a complete response, 17 had a partial response, 8 had stable disease, and 10 had progressive disease, which was significantly better than the response rate in Non-LDTNR group(P&lt;0.001). The 1-year cumulative survival rates of the patients with or without LDTNR were 59.5% and 9.1%. The 3-year cumulative survival rate with or without LDTNR was 29.7% and 0%, respectively (P&lt;0.001).ConclusionsLDTNR can improve the inflammatory and immune status, increase compliance with chemotherapy, and have potential benefits in improving the safety and effectiveness of and survival after conversion treatment.
Development of Cardiac Events and Functional Recovery Prediction Models for Pediatric Dilated Cardiomyopathy
Authors: Kim Dong-Hee , Choi Eun Seok , Kwon Bo Sang , Park Chun Soo , Cha Seul Gi , Baek Jae Suk , Yu Jeong Jin , Kim Young-Hwue , Yun Tae-Jin 
Published: June 2023

Graphical AbstractOutcome Prediction Models for Pediatric Dilated Cardiomyopathy. The probabilities of FR and CEs within 2 years after the initial presentation can be calculated using outcome prediction models for pediatric patients with DCMP. Medical treatment with close follow-up is advisable for patients who are deemed more likely to experience FR than CEs, while early registration for HTPL and aggressive employment of LVADs is recommended for patients who are deemed more likely to experience CEs than FR. DCMP, dilated cardiomyopathy; FR, functional recovery of the left ventricle; CE, cardiac event; F/U, follow-up; LVAD, left ventricular assist device.
The burden of inappropriate birth weight on neonatal survival in term newborns: a population-based study in a middle-income setting
Authors: Konstantyner Tulio , Areco Kelsy Catherina Nema , Bandiera-Paiva Paulo , Marinonio Ana Sílvia Scavacini , Kawakami Mandira Daripa , Balda Rita de Cássia Xavier , Miyoshi Milton Harumi , Sanudo Adriana , Costa-Nobre Daniela Testoni , de Freitas Rosa Maria Vieira , Morais Liliam Cristina Correia , Teixeira Monica La Porte , Waldvogel Bernadette Cunha , Kiffer Carlos Roberto Veiga , de Almeida Maria Fernanda Branco , Guinsburg Ruth 
Published: June 2023

IntroductionPremature birth, perinatal asphyxia, and infections are the main causes of neonatal death. Growth deviations at birth also affect neonatal survival according to week of gestation at birth, particularly in developing countries. The purpose of this study was to verify the association between inappropriate birth weight and neonatal death in term live births.MethodsThis is an observational follow-up study with all term live births from 2004 to 2013 in Sao Paulo State, Brazil. Data were retrieved with the deterministic linkage of death and birth certificates. The definition of very small for gestational age (VSGA) and very large for gestational age (VLGA) used the 10th percentile of 37 weeks and the 90th percentile of 41 weeks + 6 days, respectively, based on the Intergrowth-21st. We measured the outcome in terms of time to death and the status of each subject (death or censorship) in the neonatal period (0–27 days). Survival functions were calculated using the Kaplan–Meier method stratified according to the adequacy of birth weight into three groups (normal, very small, or very large). We used multivariate Cox regression to adjust for proportional hazard ratios (HRs).ResultsThe neonatal death rate during the study period was 12.03/10,000 live births. We found 1.8% newborns with VSGA and 2.7% with VLGA. The adjusted analysis showed a significant increase in mortality risk for VSGA infants (HR = 4.25; 95% CI: 3.89–4.65), independent of sex, 1-min Apgar score, and five maternal factors.DiscussionThe risk of neonatal death in full-term live births was approximately four times greater in those with birth weight restriction. The development of strategies to control the factors that determine fetal growth restriction through planned and structured prenatal care can substantially reduce the risk of neonatal death in full-term live births, especially in developing countries such as Brazil.
Effects of simulated hypo-gravity on lower limb kinematic and electromyographic variables during anti-gravitational treadmill walking
Authors: Malaya Christopher A. , Parikh Pranav J. , Smith Dean L. , Riaz Arshia , Chandrasekaran Subhalakshmi , Layne Charles S. 
Published: June 2023

Introduction: This study investigated kinematic and EMG changes in gait across simulated gravitational unloading levels between 100% and 20% of normal body weight. This study sought to identify if each level of unloading elicited consistent changes—particular to that percentage of normal body weight—or if the changes seen with unloading could be influenced by the previous level(s) of unloading.Methods: 15 healthy adult participants (26.3 ± 2.5 years; 53% female) walked in an Alter-G anti-gravity treadmill unloading system (mean speed: 1.49 ±0.37 mph) for 1 min each at 100%, 80%, 60%, 40% and 20% of normal body weight, before loading back to 100% in reverse order. Lower-body kinematic data were captured by inertial measurement units, and EMG data were collected from the rectus femoris, biceps femoris, medial gastrocnemius, and anterior tibialis. Data were compared across like levels of load using repeated measures ANOVA and statistical parametric mapping. Difference waveforms for adjacent levels were created to examine the rate of change between different unloading levels.Results: This study found hip, knee, and ankle kinematics as well as activity in the rectus femoris, and medial gastrocnemius were significantly different at the same level of unloading, having arrived from a higher, or lower level of unloading. There were no significant changes in the kinematic difference waveforms, however the waveform representing the change in EMG between 100% and 80% load was significantly different from all other levels.Discussion: This study found that body weight unloading from 100% to 20% elicited distinct responses in the medial gastrocnemius, as well as partly in the rectus femoris. Hip, knee, and ankle kinematics were also affected differentially by loading and unloading, especially at 40% of normal body weight. These findings suggest the previous level of gravitational load is an important factor to consider in determining kinematic and EMG responses to the current level during loading and unloading below standard g. Similarly, the rate of change in kinematics from 100% to 20% appears to be linear, while the rate of change in EMG was non-linear. This is of particular interest, as it suggests that kinematic and EMG measures decouple with unloading and may react to unloading uniquely.
A selective up-sampling method applied upon unbalanced data for flare prediction: potential to improve model performance
Authors: Liu Siwei , Wang Jingjing , Li Ming , Cui Yanmei , Guo Juan , Shi Yurong , Luo Bingxian , Liu Siqing 
Published: June 2023

The Spaceweather HMI Active Region Patch (SHARP) parameters have been widely used to develop flare prediction models. The relatively small number of strong-flare events leads to an unbalanced dataset that prediction models can be sensitive to the unbalanced data and might lead to bias and limited performance. In this study, we adopted the logistic regression algorithm to develop a flare prediction model for the next 48 h based on the SHARP parameters. The model was trained with five different inputs. The first input was the original unbalanced dataset; the second and third inputs were obtained by using two widely used sampling methods from the original dataset, while the fourth input was the original dataset but accompanied by a weighted classifier. Based on the distribution properties of strong-flare occurrences related to SHARP parameters, we established a new selective up-sampling method and applied it to the mixed-up region (referred to as the confusing distribution areas consisting of both the strong-flare events and non-strong-flare events) to pick up the flare-related samples and add small random values to them and finally create a large number of flare-related samples that are very close to the ground truth. Thus, we obtained the fifth balanced dataset aiming to 1) promote the forecast capability in the mixed-up region and 2) increase the robustness of the model. We compared the model performance and found that the selective up-sampling method has potential to improve the model performance in strong-flare prediction with its F1 score reaching 0.5501 ± 0.1200, which is approximately 22% − 33% higher than other imbalance mitigation schemes.
Assessment of Pediatric Kidney Transplant Experience and Exposure During Pediatric Nephrology Fellowship Training
Authors: Spiwak Elizabeth , Bartosh Sharon M. , Smith Jodi , Seifert Michael E. , Amaral Sandra , George Roshan P. 
Published: June 2023

Key Points

There have been no published studies evaluating competency or perceived competency in kidney transplant–related knowledge and skills among graduates of pediatric nephrology fellowships.There are also no uniform specific transplant requirements within the pediatric nephrology fellowship.We aim to further understand this potential gap to rectify it in the future.

Podcast
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Gambaran Tingkat Kecemasan Ibu Hamil Primigravida dan Multigravida dalam Menghadapi Persalinan di Indonesia
Authors: Arikalang Falentine , Wagey Frank M. M. , Tendean Hermie M. M. 
Published: June 2023

Abstract: Research in Indonesia shows that pregnant women who experience high levels of anxiety can increase the risk of premature birth and even miscarriage resulting in increased mortality and morbidity rates in pregnant women. This study aimed to describe the level of anxiety of primigravidas and multigravidas facing childbirth in Indonesia. This was a literature review study using Google Scholar with specified criteria. The results obtained 12 literatures. Most primigravidas experienced anxiety with different levels of anxiety. Among primigravidas, 17% had no anxiety, 21.05% mild anxiety, 32.8% moderate anxiety, and 29.15% severe anxiety. Moreover, among multigravidas, 53.58% had no anxiety, 18.85% mild anxiety, 10.77% moderate anxiety, 10.38% severe anxiety, and 6.15% very serious anxiety. In conclusion, the majority of pregnant women facing childbirth in Indonesia experience various levels of anxiety. Primigravidas experience moderate anxiety, followed by severe anxiety and mild anxiety. Meanwhile, most multigravidas do not experience anxiety.
Keywords: anxiety level, pregnant women, primigravida, multigravida

Abstrak: Penelitian di Indonesia menunjukkan bahwa ibu hamil yang mengalami kecemasan tingkat tinggi dapat meningkatkan risiko kelahiran bayi prematur bahkan keguguran yang berdampak pada penigkatan angka mortalitas dan morbiditas pada ibu hamil. Penelitian ini bertujuan untuk mengetahui gambaran tingkat kecemasan ibu hamil primigravida dan multigravida dalam menghadapi persalinan di Indonesia. Jenis penelitian alah suatu literature review. Pencarian data menggunakan database Google scholar dengan kriteria yang ditentukan. Hasil penelitian mendapatkan 12 literatur. Sebagian besar ibu hamil primigravida mengalami kecemasan dengan tingkat kecemasan berbeda, yaitu sebanyak(17% tidak cemas, 21,05% cemas ringan, 32,8% cemas sedang dan 29,15% cemas berat. Pada ibu hamil multigravida sebanyak 53,58% tidak cemas, 18,85% cemas ringan, 10,77% cemas sedang, 10,38% cemas berat, dan 6,15% cemas berat sekali. Simpulan penelitian ini ialah mayoritas ibu hamil dalam menghadapi persalinan di Indonesia mengalami kecemasan dengan tingkat bervariasi. Ibu hamil primigravida paling banyak mengalami kecemasan sedang, diikuti kecemasan berat dan ringan. Ibu hamil multigravida sebagian besar tidak mengalami kecemasan.
Kata kunci: tingkat kecemasan; ibu hamil; primigravida; multigravida
EDUKASI PEMANFAATAN TANAMAN OBAT KELUARGA (TOGA) SEBAGAI PENINGKAT SISTEM IMUN TUBUH PADA MASA PANDEMI COVID-19 DI KELURAHAN PALASARI KECAMATAN LEGOK TANGERANG
Authors: Dewi Winana Kartika , Prasetyo Andri 
Published: June 2023

Usaha Mikro Kecil Menengah (UMKM) memiliki peranan yang sangat penting bagi perekonomian di Indonesia. UMKM dijumpai disetiap daerah, misalnya pedagang di pasar tradisional, warung makan, pengrajin, usaha rumahan, pedagang kaki lima. Ada 9 bidang usaha UMKM, yaitu Usaha Mikro, Usaha Kecil dan Usaha Menegah di Kecamatan Tomo, Kabupaten Sumedang Jawa Barat, di bawah kooordinasi Bumdes dan BumdesMa, yang terbagi dalam tiga kategori usaha mikro, usaha kecil dan menengah. Tujuan pelaksanaan PKM ini adalah untuk mempercepat proses pengembangan pemasaran digital dan praktik penyusunan laporan keuangan berbasis PSAK ETAP UKM berbasis android; Membantu menciptakan akses bagi terciptanya wirausaha baru yang menerapkan pemasaran digital dan pembukuan berbasis Android di Kecamatan Tomo - Kabupaten Sumedang. Hasil PKM melalui pelatihan, yaitu peserta UMKM yang belum paham tentang cara melakukan pemasaran melalui digital marketing/ e-Commerce, masih banyak para pelaku UMKM dalam melakukan pengarsipan dan pencatatan atas transaksi dalam membuat laporan keuangan, baik secara manual maupun digital. Adanya kegiatan PKM ini para pelaku UMKM memiliki minat dan keinginan yang kuat untuk belajar mengimplementasikan cara melakukan pemasaran melalui media online/ digital marketing, serta memberikan kemudahan kepada pelaku UMKM untuk mengetahui kinerja usaha UMKM melalui BUMDes/ BUMDesma atas laporan keuangan dibuat secara digital berbasis android.