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The Epidemiology of Chagas Disease in the United States of America
Stephen A Klotz
Posted: 21 November 2024
Toward the Systemic Replacement of Mitochondrial DNA with Somatic Mutations
Michael Renteln
Posted: 21 November 2024
High Susceptibility Among Cloacal Enterococci and Escherichia coli of Free-Living Dalmatian and Great White Pelicans, with Detection of CTX-M-Producing E. coli ST69
Teresa Cardona-Cabrera,
Sandra Martínez-Álvarez,
Carmen González-Azcona,
Carlos Javier Gijón-García,
Olga Alexandrou,
Giorgios Catsadorakis,
Panagiotis Azmanis,
Carmen Torres,
Ursula Höfle
Posted: 21 November 2024
Effects of Maternal Stress on the Development of the Somatotropic Axis During the Larval and Juvenile Stages in Zebrafish (Danio rerio)
Maira da Silva Rodrigues,
Vinícius Prazeres Barbosa Toledo,
Rafael Henrique Nóbrega
Posted: 21 November 2024
A First Analysis of Environmental Monitoring Data for Two 'Open Loop' LNG Regasifiers Operating in Italian Coastal Waters
Carlo Franzosini
Posted: 21 November 2024
Analysis of ROMO1 Expression Levels and its Oncogenic Role in Gastrointestinal Tract Cancers
Selçuk YAMAN,
Osman AKIDAN,
Mehmet VATANSEVER,
Sema MISIR,
Serap OZER YAMAN
Background:Gastrointestinal tract cancers account for approximately one-third of cancer-related deaths. Early diagnosis and effective treatment are the most important ways to prevent cancer-related morbidity and mortality. ROMO1 has been shown to play an important role in many types of cancer. However, the biological function of ROMO1 is still poorly understood in gastrointestinal system cancers. The aim of this study is to reveal the expression change and oncogenic role of ROMO in gastrointestinal system cancers. Methods:Gene Expression Profiling Interactive Analysis (GEPIA), UALCAN, TIMER, GeneMANIA, TISIDB and STRING were applied to assess the biological function of ROMO1 in gastrointestinal cancers (Colon adenocarcinoma (COAD), Esophageal carcinoma (ESCA), Liver hepatocellular carcinoma (LIHC), Pancreatic adenocarcinoma (PAAD), and Stomach adenocarcinoma (STAD)). Results:ROMO1 is significantly increased in gastrointestinal cancers and overexpression of ROMO1 was associated with clinicopathological features. In addition, ROMO1 has been found to be closely associated with between tumor-infiltrating immune cells in gastrointestinal cancers. ROMO1 is closely related to the inner mitochondrial membrane proteins (TIMM) family. Conclusison: The study revealed that ROMO1 is of significant clinical importance for gastrointestinal cancers and may have potential clinical utility in treatment and prognosis.
Background:Gastrointestinal tract cancers account for approximately one-third of cancer-related deaths. Early diagnosis and effective treatment are the most important ways to prevent cancer-related morbidity and mortality. ROMO1 has been shown to play an important role in many types of cancer. However, the biological function of ROMO1 is still poorly understood in gastrointestinal system cancers. The aim of this study is to reveal the expression change and oncogenic role of ROMO in gastrointestinal system cancers. Methods:Gene Expression Profiling Interactive Analysis (GEPIA), UALCAN, TIMER, GeneMANIA, TISIDB and STRING were applied to assess the biological function of ROMO1 in gastrointestinal cancers (Colon adenocarcinoma (COAD), Esophageal carcinoma (ESCA), Liver hepatocellular carcinoma (LIHC), Pancreatic adenocarcinoma (PAAD), and Stomach adenocarcinoma (STAD)). Results:ROMO1 is significantly increased in gastrointestinal cancers and overexpression of ROMO1 was associated with clinicopathological features. In addition, ROMO1 has been found to be closely associated with between tumor-infiltrating immune cells in gastrointestinal cancers. ROMO1 is closely related to the inner mitochondrial membrane proteins (TIMM) family. Conclusison: The study revealed that ROMO1 is of significant clinical importance for gastrointestinal cancers and may have potential clinical utility in treatment and prognosis.
Posted: 21 November 2024
Efficacy of Fat Supplements with Different Unsaturated/Saturated FA Ratios Undergoing First Postpartum Ovulation in Lactating Anovulatory Goats
Caroline P Silva,
César C L Fernandes,
Juliana P M Alves,
Camila M Cavalcanti,
Felipe B B Oliveira,
Alfredo J H Conde,
Diana Celia S N Pinheiro,
Darcio I A Teixeira,
Anibal C Rego,
Davide Rondina
We investigated whether microalgae or linseed supply during the early postpartum period affects ovarian restimulation and supports the first postpartum ovulation in lactating anovulatory goats. Thirty-eight An-glo-Nubian-crossbred adult goats were allocated into three groups: con-trol diet (n=12), fed a total mixed ration (TMR) comprising chopped elephant grass and concentrate; algal diet (n=13), fed TMR+green microalgae (1% dry matter); and linseed diet (n=13), TMR+linseed (12% dry matter). Supplements were furnished from the 2nd to 5th week (time of weaning). Goats were estrus synchronized on day 40 by insertion of an intravaginal CIDR device for 5 days, after which 0.075mg PGF2α was applied to in-duce ovulation, and estrus was monitored for 72 hours. From the 5th-15th day of ovulation induction, the corpus luteum (CL) area and progesterone rate were monitored. The algal and linseed groups showed lower feed intake (P<0.001) and higher (P<0.001) triglyceride levels/follicle numbers, respectively. After estrus induction, no differences were ob-served in estrus response; however, the linseed group showed more and larger growing follicles (P=0.016 and P<0.01), a higher ovulation rate (P<0.05), larger CL area (P<0.05), and higher progesterone levels (P<0.001). Linseed after delivery stimulates follicular growth before and after ovulation induction, favoring better CL quality during the first ovulation.
We investigated whether microalgae or linseed supply during the early postpartum period affects ovarian restimulation and supports the first postpartum ovulation in lactating anovulatory goats. Thirty-eight An-glo-Nubian-crossbred adult goats were allocated into three groups: con-trol diet (n=12), fed a total mixed ration (TMR) comprising chopped elephant grass and concentrate; algal diet (n=13), fed TMR+green microalgae (1% dry matter); and linseed diet (n=13), TMR+linseed (12% dry matter). Supplements were furnished from the 2nd to 5th week (time of weaning). Goats were estrus synchronized on day 40 by insertion of an intravaginal CIDR device for 5 days, after which 0.075mg PGF2α was applied to in-duce ovulation, and estrus was monitored for 72 hours. From the 5th-15th day of ovulation induction, the corpus luteum (CL) area and progesterone rate were monitored. The algal and linseed groups showed lower feed intake (P<0.001) and higher (P<0.001) triglyceride levels/follicle numbers, respectively. After estrus induction, no differences were ob-served in estrus response; however, the linseed group showed more and larger growing follicles (P=0.016 and P<0.01), a higher ovulation rate (P<0.05), larger CL area (P<0.05), and higher progesterone levels (P<0.001). Linseed after delivery stimulates follicular growth before and after ovulation induction, favoring better CL quality during the first ovulation.
Posted: 21 November 2024
Common Biases, Difficulties, and Errors in Clinical Reasoning in Veterinary Medical Encounters with a Case Example
Kiro Petrovski,
Roy Neville Kirkwood
Posted: 21 November 2024
A Review on the Frontier of Molecular Biology Integrating AI and Bioinformatics in Genetic Research
Mohammad Odah
Molecular biology is undergoing a transformative evolution through the integration of Artificial Intelligence (AI) and bioinformatics, which collectively empower researchers to analyze complex genomic datasets, uncover hidden patterns in genetic information, and advance the paradigm of precision medicine. Notable breakthroughs include AlphaFold’s revolutionary contribution to protein structure prediction, achieving near-experimental accuracy, and PolyPhen’s role in assessing the functional impact of genetic mutations, advancing precision diagnostics. These advancements demonstrate the potential of AI to accelerate discoveries in functional genomics and disease prediction models. However, the integration of these technologies also raises significant ethical concerns. For instance, issues related to genetic privacy have become increasingly critical, as the misuse of sensitive genomic data could lead to discrimination in healthcare and employment. This comprehensive review explores the dynamic intersection of AI and bioinformatics, emphasizing their roles in gene-disease association studies, protein structure prediction, and functional genomics. It also critically addresses challenges, including data quality issues, computational limitations, and the ethical implications of genetic privacy. Future research directions focus on enhancing AI model transparency, overcoming computational barriers, and developing robust ethical frameworks to ensure equitable benefits in clinical and research settings. By integrating cutting-edge AI technologies, such as explainable AI (XAI) and federated learning, with robust bioinformatics methodologies, this review highlights a roadmap for revolutionizing genetic research and fostering advancements in personalized medicine.
Molecular biology is undergoing a transformative evolution through the integration of Artificial Intelligence (AI) and bioinformatics, which collectively empower researchers to analyze complex genomic datasets, uncover hidden patterns in genetic information, and advance the paradigm of precision medicine. Notable breakthroughs include AlphaFold’s revolutionary contribution to protein structure prediction, achieving near-experimental accuracy, and PolyPhen’s role in assessing the functional impact of genetic mutations, advancing precision diagnostics. These advancements demonstrate the potential of AI to accelerate discoveries in functional genomics and disease prediction models. However, the integration of these technologies also raises significant ethical concerns. For instance, issues related to genetic privacy have become increasingly critical, as the misuse of sensitive genomic data could lead to discrimination in healthcare and employment. This comprehensive review explores the dynamic intersection of AI and bioinformatics, emphasizing their roles in gene-disease association studies, protein structure prediction, and functional genomics. It also critically addresses challenges, including data quality issues, computational limitations, and the ethical implications of genetic privacy. Future research directions focus on enhancing AI model transparency, overcoming computational barriers, and developing robust ethical frameworks to ensure equitable benefits in clinical and research settings. By integrating cutting-edge AI technologies, such as explainable AI (XAI) and federated learning, with robust bioinformatics methodologies, this review highlights a roadmap for revolutionizing genetic research and fostering advancements in personalized medicine.
Posted: 21 November 2024
Imaging Studies of the Stifle Joint in Puma concolor (Linnaeus, 1771)
Eduardo Burgarelli Mayrink Cardoso,
Sheila Canevese Rahal,
Jeana Pereira da Silva,
Maria Jaqueline Mamprim,
Jair Theodoro Filho,
Gabriela Montezel Frigerio,
Paulo Hilário Nascimento Saldiva,
Mário Manuel Dinis Ginja,
Karin Werther
Posted: 21 November 2024
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