bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the Roles of lncRNAs MZF1-AS1 and MEG9 in Breast, Gastric, and Colorectal Cancer Development: Regulation of LCN6 in Fatty Acid Signaling Pathways
Authors: Zoofaghari Mohammad Hassan , Sharifani Mohammad Sharif , Ghandi Mahsa , Zare Sanaz , Yazdani Shantia , Fekri Sina , Ghahi Ghazaleh Sheikhi , Jazi Golnaz Enayat , Shirdeli Sayedeh Zahra , Rezaei Mohammad , Azadeh Mansoureh 
Published: June 2024

Abstract

Background
The discovery of cancer biomarkers is pivotal for early diagnosis, therapeutic planning, and patient monitoring, offering a molecular insight into tumor characteristics. This study aimed to identify novel diagnostic and prognostic biomarkers for breast cancer (BC), gastric cancer (GC), and colorectal cancer (CRC) using a systems biology approach.
Methods
High-throughput gene expression analysis was conducted using the limma package in R Studio on datasets GSE134359, GSE54129, and GSE81558. Potential non-coding regulatory factors were identified through RNA and protein interaction analyses. Interaction networks were visualized with Cytoscape. Pathway enrichment analysis (Reactome) and survival analysis (GEPIA2) were utilized to elucidate the regulatory mechanisms of selected RNAs. The findings were validated using qRT-PCR experiments on GC, BC, and CRC samples.
Results
Bioinformatics analyses revealed significantly low expression of LCN6 in BC, CRC, and GC samples. Interaction analysis showed that lncRNAs MEG9 and MZF1-AS1 physically interact with LCN6 mRNA. Gene expression analysis using ENCORI indicated dysregulation of MEG9 and MZF1-AS1 in BC, CRC, and GC samples. Correlation analysis uncovered novel relationships between the expression of these lncRNAs and mRNA in the three cancer types. ROC analysis suggested that LCN6 and MZF1-AS1 are potential biomarkers for GC and CRC, while MEG9 could serve as a robust diagnostic biomarker for BC, CRC, and GC. Significant positive correlations were observed between MZF1-AS1 and MEG9 with LCN6 in BC samples and between LCN6 and MEG9 in GC samples, but no correlation was found in CRC samples.
Conclusion
LncRNAs MZF1-AS1 and MEG9 may regulate the expression of LCN6 in the "transport of fatty acid" signaling pathway, potentially influencing the risk of BC, GC, and CRC through this regulatory mechanism.
Selection bias risk in “low bias” (RoB 2) rated randomised control trials (Preprint)
Authors: Mickenautsch Steffen , Yengopal Veerasamy 
Published: June 2024

Abstract

Aim
To establish the risk of selection bias in randomised control trials (RCT) that were overall rated as having “low bias” risk, according to Cochrane’s Risk of Bias, Version 2 (RoB 2) tool.
Methods
A systematic literature search of current systematic reviews of RCTs was conducted. From the identified reviews, RCTs with overall “high bias” and “low bias” RoB 2 risk ratings were extracted. All RCTs were statistically tested for selection bias risk. From the test results, true positive, true negative, false positive or false negative ratings were established, and the false omission rate (FOR) with 95% Confidence interval (CI) computed. Subgroup analysis was conduced by computing the negative likelihood ratio (-LR) concerning RoB 2 domain 1 ratings: Bias arising from the randomisation process.
Results
A total of 1070 published RCTs (median publication year: 2018; Interquartile range: 2013–2020) were identified and tested. A total of 7.61% of all RCTs, rated with RoB 2 as of overall “low bias” risk were discovered to be of high selection bias risk (FOR 7.61%; 95% CI: 6.31–9.14%). The likelihood for high selection bias risk in RCTs that were rated as of “low bias” risk in the RoB 2 domain 1 was 6% higher than the likelihood for low selection bias risk (-LR 1.06; 95%CI: 0.98–1.15).
Conclusion
The findings of this study raise issues about the validity of “low bias” risk ratings using Cochrane’s RoB 2 tool, as well as the validity of the results from 1070 recently published RCTs. Our results also suggest that the likelihood of a ”low-bias” risk rated body of clinical evidence being actually bias-free is low, and that generalization based on a limited, pre-specified set of appraisal criteria may not justify a high level of confidence that such evidence reflects the true treatment effect.
WITHDRAWN: Is there an association between the serum zonulin concentration and the occurrence of PPROM?
Authors: Mert Sule Atalay 
Published: June 2024

Abstract

Aim: This study aimedto evaluate the associationsbetween intestinal permeability andzonulin (ZO) levels and preterm premature membrane rupture (PPROM) in patients.
Methods: A total of 44 pregnant women, 22 with PPROM and 22 in the control group, were included in this prospective case‒controlstudy. Venousblood samples and umbilical cord blood samples were taken from all participants after delivery. The blood samples were centrifuged at 3000 RPM for 10 minutes and stored at -80°C until biochemical analysis.
Results: The median gestational age at delivery was 34 weeks (24-36 weeks). The median maternal blood ZO level (99.1 ng/mL [67.5-307.5] vs. 95.6 ng/mL [65.7-320.0], p = 0.925) and the cord blood ZO level (81.9 ng/mL [30.9-271.3] vs. 76.9 ng/mL [44.1-314.8], p = 0.681) were not different between the PPROM group and the control group. The demographic and clinical data revealeda significant correlation between maternal and fetal cord ZO levels and newborn birthweight in the PPROM group (r=0.607, p=0.003; r=0.617, p=0.002, respectively). A strong positive correlation was also found between the ZO levels in maternal serum (r: 0.837, p <0.001) and fetal cord blood (r: 0.944, p <0.001).
Conclusion: No significant difference inmaternal serum/umbilical cord blood zonulin levels was detected between PPROM patientsand control patients. However, a positive correlation was found between newborn birthweight and maternal serum zonulin levels, as well as umbilical cord levels. In the PPROM patients, there was a positive correlation between maternal serum and fetal cord zonulin levels in all patients.
Antineoplastic Effect of Valproic Acid: A Systematic Review of In Vivo
Studies
Authors: Suárez Ketty , Fernández Gisselle , Borroto Alicia , Fernández Tammy , Pérez Carlos L 
Published: June 2024

Background::
In recent years, cancer has become a noncommunicable disease with a high
mortality in the world, constituting the second cause of death. Although it has a predominance of
genetic abnormalities, molecular studies have shown that epigenetic alterations share a leading role in
its development. Among the epigenetic drugs inhibiting deacetylases, we have valproic acid [VPA],
a short-branched chain fatty acid with more than 50 years of clinical use. The potentialities of this
drug that justify its use in antineoplastic therapy have been described recently. This drug offers the
possibility of reversing some malignant characteristics of cancer cells, and it can be used in small,
minimally toxic doses at low cost.

Objective::
The aim of this study was to evaluate the use of valproic acid as an antineoplastic treatment
in animal models.

Methods::
A systematic review was conducted following the Prisma guidelines. Pubmed and Scopus
were consulted for original articles that had evaluated the antineoplastic effect of VPA in vivo in the
last 10 years. Results are presented in tables and graphs

Results::
A total of 41 specific articles on the topic were selected. Few preclinical in vivo studies
demonstrated the antineoplastic effects of VPA. Prostatic and hepatocellular carcinoma were the most
common cancers in the consulted reports. Combination therapies using VPA with cytotoxic agents
prevailed in this research, demonstrating a synergistic effect in reducing tumour volume.

Conclusion::
VPA has an antineoplastic effect, and combination therapies show better results than
monotherapies. However, more studies are required to confirm the usefulness of VPA as an adjuvant
in the treatment of cancer.
Role of Menstrual Blood Stem Cell-Derived Secretome, Follicular Fluid,
and Melatonin in Oocyte Maturation and Embryo Development in
Polycystic Ovary Syndrome
Authors: Rastegari Hilda , Kazemnejad Somaieh , Hayati Roodbari Nasim , Ansaripour Soheila 
Published: June 2024

Background::
In vitro maturation has been considered an approach to mature oocytes
derived from women with polycystic ovary syndrome (PCOS). It is suggested that the IVM of oocytes
may benefit from mesenchymal stem cells derived conditioned medium (CM-MSC).

Objective::
The purpose of this study was to determine the efficacy of a cocktail of menstrual
blood stem cell (MenSCs)-derived secretome, along with follicular fluid and melatonin, in oocyte
maturation and embryo development in PCOS.

Methods::
Four hundred left germinal vesicle oocytes were collected from 100 PCOS patients and
randomly divided into four treatment groups: 1) control, 2) secretome, 3) follicular fluid, and 4)
melatonin. Oocyte maturation, fertilization rate, and embryo development were monitored, as
well as the expression levels of oocyte-secreted factors (GDF9- BMP15), oocyte maturation (MPK3),
and apoptosis (BAX- Bcl2).

Results::
The rate of oocyte maturation increased in all test groups, but only the results for the
SEC group were significant (P= 0.032). There were no significant differences in oocyte fertilization
and embryo yield among groups. However, the quality of embryos significantly increased in
the melatonin group compared to the control. Cytoplasmic maturation was confirmed by the expression
of oocyte maturation-related genes using Real-time PCR. Additionally, the expression
level of BCL-2 was significantly higher in the SEC-FF-MEL group than in the control group (p ≤
0.01).

Conclusion::
Enrichment of IVM media using MenSCs-secretome, particularly along with melatonin,
could be an effective strategy to improve oocyte maturation and embryo development in
PCOS.
Lipid-Based Nanomedicine for Alzheimer's Disease: A Comprehensive
Review of Recent Advances
Authors: Dhankhar Sanchit , Garg Nitika , Sharma Himanshu , Chauhan Samrat , Saini Monika 
Published: June 2024

Background::
Alzheimer's disease (AD) is the most common form of dementia and is expected
to greatly rise in future, making it a major worldwide health concern with severe impacts on
individuals and society. Despite advancements in understanding the cellular and molecular aspects
of Alzheimer's disease (AD) in recent decades, it still poses a significant problem. A major problem
is accurately delivering drugs to diseased neurons while minimising effects on healthy neurons. This
difficulty is worsened by the low water solubility of anti-Alzheimer's disease medicines and the
blood-brain barrier (BBB) that hinders the entry of central nervous system pharmaceuticals that are
highly lipophilic.

Objective::
The focus of this article is on nanocarriers that are lipid-based. This is one of the more
widely accepted methods of treating Alzheimer's disease, as it increases therapeutic efficacy while
decreasing side effects related to cooperated neurological disorder payload.

Method::
Searched many databases for papers published under the title (including PubMed, Elsevier,
and Google Scholar).

Results/Conclusion:
Nano Lipid Carriers (NLCs) are recognized for their ability to target the brain
effectively due to their lipid-loving properties and compatibility with living tissues. They improve
the absorption of drugs in the brain while decreasing the accumulation of drugs in unintended organs.
This work emphasises the importance of nano lipid carriers, which are lipophilic and biocompatible
and have demonstrated exceptional targeting efficiency, making them an ideal carrier system
for delivering medications to the brain.
An Approach to Potentially Increasing Adoption of an Artificial Intelligence–Enabled Electronic Medical Record Encounter in Canadian Primary Care: Protocol for a User-Centered Design
Authors: Francisco Krizia Mae , Burns Catherine M 
Published: June 2024

Background
Primary care physicians are at the forefront of the clinical process that can lead to diagnosis, referral, and treatment. With electronic medical records (EMRs) being introduced and, over time, gaining acceptance by primary care users, they have now become a standard part of care. EMRs have the potential to be further optimized with the introduction of artificial intelligence (AI). There has yet to be a widespread exploration of the use of AI in primary health care and how clinicians envision AI use to encourage further uptake.

Objective
The primary objective of this research is to understand if the user-centered design approach, rooted in contextual design, can lead to an increased likelihood of adoption of an AI-enabled encounter module embedded in a primary care EMR. In this study, we use human factor models and the technology acceptance model to understand the results.

Methods
To accomplish this, a partnership has been established with an industry partner, TELUS Health, to use their EMR, the collaborative health record. The overall intention is to understand how to improve the user experience by using user-centered design to inform how AI should be embedded in an EMR encounter. Given this intention, a user-centered approach will be used to accomplish it. The approach of user-centered design requires qualitative interviewing to gain a clear understanding of users’ approaches, intentions, and other key insights to inform the design process. A total of 5 phases have been designed for this study.

Results
As of March 2024, a total of 14 primary care clinician participants have been recruited and interviewed. First-cycle coding of all qualitative data results is being conducted to inform redesign considerations.

Conclusions
Some limitations need to be acknowledged related to the approach of this study. There is a lack of market maturity of AI-enabled EMR encounters in primary care, requiring research to take place through scenario-based interviews. However, this participant group will still help inform design considerations for this tool. This study is targeted for completion in the late fall of 2024.

International Registered Report Identifier (IRRID)
DERR1-10.2196/54365
Use of Deep Neural Networks to Predict Obesity With Short Audio Recordings: Development and Usability Study
Authors: Huang Jingyi , Guo Peiqi , Zhang Sheng , Ji Mengmeng , An Ruopeng 
Published: June 2024

Background
The escalating global prevalence of obesity has necessitated the exploration of novel diagnostic approaches. Recent scientific inquiries have indicated potential alterations in voice characteristics associated with obesity, suggesting the feasibility of using voice as a noninvasive biomarker for obesity detection.

Objective
This study aims to use deep neural networks to predict obesity status through the analysis of short audio recordings, investigating the relationship between vocal characteristics and obesity.

Methods
A pilot study was conducted with 696 participants, using self-reported BMI to classify individuals into obesity and nonobesity groups. Audio recordings of participants reading a short script were transformed into spectrograms and analyzed using an adapted YOLOv8 model (Ultralytics). The model performance was evaluated using accuracy, recall, precision, and F1-scores.

Results
The adapted YOLOv8 model demonstrated a global accuracy of 0.70 and a macro F1-score of 0.65. It was more effective in identifying nonobesity (F1-score of 0.77) than obesity (F1-score of 0.53). This moderate level of accuracy highlights the potential and challenges in using vocal biomarkers for obesity detection.

Conclusions
While the study shows promise in the field of voice-based medical diagnostics for obesity, it faces limitations such as reliance on self-reported BMI data and a small, homogenous sample size. These factors, coupled with variability in recording quality, necessitate further research with more robust methodologies and diverse samples to enhance the validity of this novel approach. The findings lay a foundational step for future investigations in using voice as a noninvasive biomarker for obesity detection.
Association of Smartwatch-Based Heart Rate and Physical Activity With Cardiorespiratory Fitness Measures in the Community: Cohort Study
Authors: Zhang Yuankai , Wang Xuzhi , Pathiravasan Chathurangi H , Spartano Nicole L , Lin Honghuang , Borrelli Belinda , Benjamin Emelia J , McManus David D , Larson Martin G , Vasan Ramachandran S , Shah Ravi V , Lewis Gregory D , Liu Chunyu , Murabito Joanne M , Nayor Matthew 
Published: June 2024

Background
Resting heart rate (HR) and routine physical activity are associated with cardiorespiratory fitness levels. Commercial smartwatches permit remote HR monitoring and step count recording in real-world settings over long periods of time, but the relationship between smartwatch-measured HR and daily steps to cardiorespiratory fitness remains incompletely characterized in the community.

Objective
This study aimed to examine the association of nonactive HR and daily steps measured by a smartwatch with a multidimensional fitness assessment via cardiopulmonary exercise testing (CPET) among participants in the electronic Framingham Heart Study.

Methods
Electronic Framingham Heart Study participants were enrolled in a research examination (2016-2019) and provided with a study smartwatch that collected longitudinal HR and physical activity data for up to 3 years. At the same examination, the participants underwent CPET on a cycle ergometer. Multivariable linear models were used to test the association of CPET indices with nonactive HR and daily steps from the smartwatch.

Results
We included 662 participants (mean age 53, SD 9 years; n=391, 59% women, n=599, 91% White; mean nonactive HR 73, SD 6 beats per minute) with a median of 1836 (IQR 889-3559) HR records and a median of 128 (IQR 65-227) watch-wearing days for each individual. In multivariable-adjusted models, lower nonactive HR and higher daily steps were associated with higher peak oxygen uptake (VO2), % predicted peak VO2, and VO2 at the ventilatory anaerobic threshold, with false discovery rate (FDR)–adjusted P values <.001 for all. Reductions of 2.4 beats per minute in nonactive HR, or increases of nearly 1000 daily steps, corresponded to a 1.3 mL/kg/min higher peak VO2. In addition, ventilatory efficiency (VE/VCO2; FDR-adjusted P=.009), % predicted maximum HR (FDR-adjusted P<.001), and systolic blood pressure-to-workload slope (FDR-adjusted P=.01) were associated with nonactive HR but not associated with daily steps.

Conclusions
Our findings suggest that smartwatch-based assessments are associated with a broad array of cardiorespiratory fitness responses in the community, including measures of global fitness (peak VO2), ventilatory efficiency, and blood pressure response to exercise. Metrics captured by wearable devices offer a valuable opportunity to use extensive data on health factors and behaviors to provide a window into individual cardiovascular fitness levels.
Penambahan Filter Air Water Destilation Machine Untuk Perbaikan Kualitas Air Bahan Baku Pembuatan Akuades Kebutuhan Analisa Proksimat Bahan Pakan
Authors: Fitri Ahmad 
Published: June 2024

Aquades is the main liquid to support proximate testing of feed ingredients at the Animal Nutrition and Feed Laboratory, Department of Animal Husbandry, University of Lampung. The quality of groundwater used as raw material for making distilled water determines the quality of the distilled water produced. Hardness level is one of the chemical parameters required for groundwater quality by measuring the amount of calcium (Ca) and magnesium (Mg) content. The Ca and Mg content in laboratory water can cause scale on the walls of equipment, especially with heating systems, which can cause damage to laboratory equipment, besides that it can hinder the heating process. The aim of this research is to reduce or even eliminate the hardness of groundwater as raw material for the distillation process for the water distillation equipment found in the Animal Nutrition and Feed Laboratory. Removing groundwater hardness is carried out by installing a water filter before the distillation process in a water distillation device. Water filters are made from PVC pipes and inside there is a filter media in the form of zeolite so that it can reduce water hardness. The experimental results show that installing a filter before the water distillation device can reduce the Ca content from 19.34 mg/L to 12.88 mg/L or a decrease of 33.40% and a decrease in the Mg content from 1.92 mg/L to 1. 55 mg/L or a decrease of 19.27%.
Keywords: Aquadest, filtration, groundwater hardness, proximate
Ecological Adaptation as a Form of SDG's Achievement Attempts for The Community in Conflict Areas through Poverty Alleviation
Authors: Kriswantriyono Agit 
Published: June 2024

The effect of the conflict in Poso on the community agricultural activity is significant. The objective of this research is to observe the community adaptive behaviour in responding to the environmental changes. The research was carried out in three villages in Poso. The data was collected through interview, and the analysis carried out through cybernatic analysis. The research result waspresented that most of the community was pro-actively adapted, to adjusted of the plantation agriculture pattern to the basic crop agriculture. The factors that influenced the community adaption strategy were the activities in the program, education, and social status. The adaption behaviour had also a high corelation with the level of independency, whereas the higher the level of indepedency people, the more adaptive the behaviour is. There are relation between the village durability index with the village typology, whereas a village with a typology of mountainous areas and far from urban areas, its environmental tenacity index is very good. While villages with a typology of community diversity are high, have a good social tenacity index. With regard to SDG's achievements, the empowerment program in Poso has achieved SDG'1, 5, 10 and SDG's 16.
LA CROSSE VIRUS VECTOR RESTING BEHAVIORS - FIELD STUDIES WITH PROKOPAK AND RESTING SHELTER COLLECTIONS PROVIDE LOW YIELD
Authors: Nordgulen Mary , Lewandowski Kaylin , Burkett-Cadena Nathan , Mathias Derrick , Byrd Brian D. 
Published: June 2024

ABSTRACT
Resting adult mosquito collections provide opportunities to sample broad physiological conditions (e.g., blood-engorged, gravid, nectar-engorged, and/or parous) that yield important biological information necessary to understand vector and pathogen transmission ecology. In this study, we evaluated Prokopak aspirations of Rhododendron spp. and human-powered pop-up resting shelter collections at 4 residences with historical evidence of proximal La Crosse virus (LACV) transmission from May through September 2022. The goal of this study was to investigate these sampling methods in the context of LACV vector biology–focused principally on Aedes triseriatus (primary LACV vector) and 2 invasive species (Ae. albopictus and Ae. japonicus) that likely serve as secondary LACV vectors. Overall, 304 resting shelters and 80 Prokopak collections yielded a grand total of 33 mosquitoes, of which a third were LACV vectors (Ae. triseriatus [n = 1, 3.0%], Ae. albopictus [n = 4, 12.1%], and Ae. japonicus [n = 6, 18.2%]). Anopheles punctipennis (n = 9, 27.2%) was the most frequently collected species followed by Culex erraticus (n = 7, 21.2%), whereas the least frequently collected species were Ae. triseriatus and Cx. pipiens (n = 1, 3.0%). Despite substantial collection efforts, and concurrent gravid-trap evidence of LACV vectors at the collection sites, Prokopak aspiration of Rhododendron spp. and human-powered pop-up resting shelters did not yield a meaningful number of LACV vectors and thus, as described within, may not be useful adjuncts for the evaluation of LACV ecology and disease risk. Additional approaches to evaluate the resting behavior of these vectors in LACV endemic areas are needed.