A study of genes involved in adipocyte differentiation

2015 ◽  
Vol 28 (1-2) ◽  
Author(s):  
Shunming Zhu ◽  
Gong Cheng ◽  
Huolan Zhu ◽  
Gongchang Guan
Keyword(s):  
Potential Role ◽  
Adipocyte Differentiation ◽  
Late Phase ◽  
Redox Status ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Lipid Droplet Formation ◽  
Polymerase Chain ◽  
Microarray Technique

AbstractWith the use of the microarray technique, genes expressed in the late phase of adipocyte differentiation were investigated. These genes play an important role in stimulating adipocyte growth and lipid droplet formation. Therefore, they contribute a great deal to the onset of obesity.With the use of SW872 adipocytes and the microarray technique, genes related to adipocyte differentiation were tested and compared with undifferentiated preadipocytes 14 days after induction. Real-time reverse transcription polymerase chain reaction (RT-PCR) was used for confirmation.More than 21,329 transcriptors were expressed and determined, of which 1326 increased and 687 decreased undifferentiated adipocytes. Among them, 21 were highly expressed by more than 10-fold. With RT-PCR, 12 were confirmed, including apelin, CIDEC, PID1, LYRM1, ADD1, PPARγ2, ANGPTL4, ADIPOQ, ACOX1, FIP1L1, MAP3K2 and PEX14. Furthermore, genes involved in lipid metabolism, signal transduction, DNA replication, redox status and transcription factors were determined as well. Novel genes involved in adipogenesis (e.g., apelin) were detected.A variety of genes were discovered and validated with RT-PCR at the late phase of adipocyte differentiation. This may help us better understand the onset of obesity and the potential role of adipocytes in other organs.

scholarly journals Chest CT texture-based radiomics analysis in differentiating COVID-19 from other interstitial pneumonia

2021 ◽  
Author(s):  
Damiano Caruso ◽  
Francesco Pucciarelli ◽  
Marta Zerunian ◽  
Balaji Ganeshan ◽  
Domenico De Santis ◽  
...  
Keyword(s):  
Interstitial Pneumonia ◽  
Potential Role ◽  
Texture Features ◽  
Roc Curves ◽  
Chest Ct ◽  
Preliminary Evaluation ◽  
Rt Pcr ◽  
Mean Intensity ◽  
Polymerase Chain

Abstract Purpose To evaluate the potential role of texture-based radiomics analysis in differentiating Coronavirus Disease-19 (COVID-19) pneumonia from pneumonia of other etiology on Chest CT. Materials and methods One hundred and twenty consecutive patients admitted to Emergency Department, from March 8, 2020, to April 25, 2020, with suspicious of COVID-19 that underwent Chest CT, were retrospectively analyzed. All patients presented CT findings indicative for interstitial pneumonia. Sixty patients with positive COVID-19 real-time reverse transcription polymerase chain reaction (RT-PCR) and 60 patients with negative COVID-19 RT-PCR were enrolled. CT texture analysis (CTTA) was manually performed using dedicated software by two radiologists in consensus and textural features on filtered and unfiltered images were extracted as follows: mean intensity, standard deviation (SD), entropy, mean of positive pixels (MPP), skewness, and kurtosis. Nonparametric Mann–Whitney test assessed CTTA ability to differentiate positive from negative COVID-19 patients. Diagnostic criteria were obtained from receiver operating characteristic (ROC) curves. Results Unfiltered CTTA showed lower values of mean intensity, MPP, and kurtosis in COVID-19 positive patients compared to negative patients (p = 0.041, 0.004, and 0.002, respectively). On filtered images, fine and medium texture scales were significant differentiators; fine texture scale being most significant where COVID-19 positive patients had lower SD (p = 0.004) and MPP (p = 0.004) compared to COVID-19 negative patients. A combination of the significant texture features could identify the patients with positive COVID-19 from negative COVID-19 with a sensitivity of 60% and specificity of 80% (p = 0.001). Conclusions Preliminary evaluation suggests potential role of CTTA in distinguishing COVID-19 pneumonia from other interstitial pneumonia on Chest CT.

scholarly journals Molecular analysis of Blastocystis sp. and its subtypes from treated wastewater routinely used for irrigation of vegetable farmlands in Iran

2019 ◽  
Vol 17 (5) ◽  
pp. 837-844 ◽  
Author(s):  
Ehsan Javanmard ◽  
Hanieh Mohammad Rahimi ◽  
Maryam Niyyati ◽  
Hamid Asadzadeh Aghdaei ◽  
Meysam Sharifdini ◽  
...  
Keyword(s):  
Potential Role ◽  
Treated Wastewater ◽  
Rrna Gene ◽  
Pathogenic Microorganisms ◽  
Chain Reaction ◽  
Blastocystis Sp ◽  
Polymerase Chain ◽  
Wastewater Samples ◽  
Pcr Targeting

Abstract Treated wastewater samples were collected, filtered using sterile 47-mm cellulose nitrate membrane and DNA extracted from the filtered materials. The presence of Blastocystis sp. was confirmed via polymerase chain reaction (PCR) targeting the SSU rRNA gene of Blastocystis sp. in 5/12 of samples. Based on the subtype analysis after sequencing, 2, 2 and 1 of ST2, ST6 and ST8 were detected among the isolates, respectively. Furthermore, both ST6s were allele 139, alleles 11 and 138 were identified in ST2 and the only ST8 was allele 95. The phylogenetic tree showed that one of ST2 was clustered together with those ST2 that were already reported from humans and animals. The presence of Blastocystis sp. in treated wastewater can indicate the potential role of this type of water for irrigation in the transmission of pathogenic microorganisms to downstream farmlands.

Elucidating the Pivotal Role of Immune Players in the Management of COVID-19: Focus on Mesenchymal Stem Cells and Inflammation

2020 ◽  
Vol 15 ◽  
Author(s):  
Seidu A. Richard ◽  
Sylvanus Kampo ◽  
Marian Sackey ◽  
Maite Esquijarosa Hechavarria ◽  
Alexis D. B. Buunaaim ◽  
...  
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Disease Burden ◽  
Viral Disease ◽  
Inflammatory Factors ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Paracrine Secretion ◽  
Polymerase Chain

: The world is currently engulfed with a viral disease with no cure. So, far, millions of people are infected with the virus across the length and breadth of world with thousand losing their lives each passing day. The WHO is February 2020 classified the virus as a coronavirus and the name Coronavirus-19 (CoV-19) was offered to the virus. The disease caused by the virus was termed coronavirus disease-19 (COVID-19). The pathogenesis of COVID-19 is associated with elevation of several immune plays as well as inflammatory factors which contributes to cytokine storms. Currently, the detection of CoV-19 RNA is through reverse transcriptase polymerase chain reaction (RT-PCR). Mesenchymal stem cells (MSCs) are capable of suppressing several kinds of cytokines via the paracrine secretion system. Therefore, MSCs therapy could be game charges in the treatment of the current COVID-19 pandemic. Also, intravenous IG may be capable of suppressing the high expression of IL-6 by the CoV-19 resulting in lessen disease burden. Anti-inflammatory medications like, corticosteroids, tocilizumab, glycyrrhetinic acid, as well as etoposide may be very advantageous in decreasing the COVID-19 burden because, their mode of action targets the cytokine storms initiated by the CoV-19. It is important to indicate that, these medication does not target the virus itself. Therefore, potent CoV-19 anti-viral medications are needed to completely cure patients with COVID-19. Also, a vaccine is urgently needed to stop the spread of the virus. This review therefore elucidates the immune players in the management of COVID-19; focusing principally on MSCs and inflammatory mediators.

scholarly journals Endothelin-1–Mediated Alteration of Metallothionein and Trace Metals in the Liver and Kidneys of Chronically Diabetic Rats

2002 ◽  
Vol 3 (3) ◽  
pp. 193-198 ◽  
Author(s):  
Lu Cai ◽  
Shali Chen ◽  
Terry Evans ◽  
M. George Cherian ◽  
Subrata Chakrabarti
Keyword(s):  
Trace Metals ◽  
Diabetic Rats ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Endothelin 1 ◽  
Liver And Kidney ◽  
Polymerase Chain ◽  
Age And Sex

In the present study, the role of endothelin-1 (ET-1) on alterations of hepatic and renal metallothionein (MT) and trace metals (Zn, Cu, and Fe) were investigated in streptozotocin (STZ)- induced diabetic rats. Diabetic rats, age- and sex-matched controls, as well as control and diabetic animals on a dualETA/ETBreceptor blocker, bosentan, were investigated after 6 months of follow-up. MT was measured by cadmium-heme assay. Metals were measured by atomic absorption spectrometer. ET-1 mRNA was analyzed by reverse transcriptase–polymerase chain reaction (RT-PCR) technique. Hepatic and renal ET-1 mRNA was increased in diabetic rats as compared to control rats, along with an increase in both hepatic and renal MT proteins. The increased hepatic MT protein level was associated with decreases in hepatic Cu and Fe, whereas increased renal MT was associated with increases in renal Cu and Fe accumulation. Zn levels were unaltered in both organs in diabetic rats. Bosentan treatment partially prevented the increase in MT levels in both liver and kidney, along with reduced serum creatinine and increased urinary creatinine levels. Further bosentan treatment corrected the increased Cu and Fe levels in the kidney in diabetic rats, but reduced hepatic Cu and Fe levels. No significant effects of bosentan treatment on nondiabetic rats were observed. The data suggest that the possible effects of ET antagonism in diabetes may be mediated via changes in MT and trace metals.

scholarly journals COVID-19 pandemic: CT chest in COVID-19 infection and prediction of patient’s ICU needs

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Ahmed M. Osman ◽  
Ahmed M. Abdrabou ◽  
Reham M. Hashim ◽  
Faisal Khosa ◽  
Aya Yasin
Keyword(s):  
Severity Score ◽  
Gradual Increase ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Icu Patients ◽  
Dominant Feature ◽  
High Incidence ◽  
Polymerase Chain ◽  
Ct Features

Abstract Background With the tremendous rise in COVID-19 infection and the shortage of real-time reverse transcription-polymerase chain reaction (RT-PCR) testing, we aimed to assess the role of CT in the detection of COVID-19 infection and the correlation with the patients’ management. A retrospective study was conducted on 600 patients who presented with symptoms suspicious for COVID-19 infection between March and the end of June 2020. The current study followed the RSNA recommendations in CT reporting and correlated with the RT-PCR. CT was reviewed and the severity score was correlated with the patient’s management. Results Four hundred sixty-six patients were included with a mean age of 46 + 14.8 years and 63.3 % were males. Three hundred forty patients were confirmed positive by RT-PCR. CT sensitivity was 92.6% while the RT-PCR was the reference. The CT specificity showed a gradual increase with the CT probability reaching 97.6% with high probability CT features. Ground-glass opacities (GGO) was the commonest findings 85.9% with a high incidence of bilateral, peripheral, and multilobar involvement (88%, 92.8%, and 92.8% respectively). Consolidation was found in 81.5% of the ICU patients and was the dominant feature in 66.7% of the ICU cases. CT severity score was significantly higher in ICU patients with a score of ≥ 14. Conclusions COVID-19 infection showed typical CT features which can be used as a rapid and sensitive investigation. Two CT phenotypes identified with the predominant consolidation phenotype as well as severity score can be used to determine infection severity and ICU need.

scholarly journals Application of RT-PCR for diagnosis of respiratory syncytial virus and human metapneumovirus infections in Bulgaria, 2006-7 and 2007-8

2009 ◽  
Vol 14 (23) ◽  
Author(s):  
S Pavlova ◽  
T Hadzhiolova ◽  
P Abadjieva ◽  
R Kotseva
Keyword(s):  
Respiratory Syncytial Virus ◽  
Respiratory Diseases ◽  
National Laboratory ◽  
Human Metapneumovirus ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Acute Respiratory Diseases ◽  
Polymerase Chain ◽  
Syncytial Virus

We describe here the results of respiratory syncytial virus (RSV) detection by reverse transcription polymerase chain reaction (RT-PCR) during two consecutive seasons, from December 2006 to February 2007 and from October 2007 to March 2008, performed in the National Laboratory of Influenza and Acute Respiratory Diseases, Bulgaria. A total number of 278 nasopharyngeal samples obtained from hospitalised children up to the age of five years were investigated for these two seasons. During the first season, the aetiological role of RSV was confirmed in 56 of 148 samples (37.8%) compared to 11 of 130 samples (8.5%) during the second season. Since the beginning of January 2008, RT-PCR for the detection of the recently identified human metapneumovirus (HMPV) has also been introduced in Bulgaria. This virus has been demonstrated as the aetiological agent in 13 out of 81 samples (16%) from children of the same age group. The use of RT-PCR allows the detection of a broader spectrum of viruses causing respiratory diseases, as well as better discrimination of the aetiological agents in clinically similar cases.

scholarly journals Role of HRCT Scan of Chest in the Evaluation of COVID-19 Pneumonia

2021 ◽  
Vol 34 (1) ◽  
pp. 109-114
Author(s):  
Md Hafizur Rahman ◽  
Nashid Amir ◽  
Md Anisur Rahman ◽  
AHM Tohurul Islam ◽  
Md Saiful Islam ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
High Specificity ◽  
Viral Disease ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Severity Scoring ◽  
Proper Diagnosis ◽  
Disease Spreading ◽  
Polymerase Chain

Coronavirus disease (COVID-19) pneumonia emerged in Wuhan, China, in December 2019. It is a highly contagious viral disease spreading worldwide, with a rapid increase in the number of cases & deaths. COVID-19 pneumonia is characterized by fever, fatigue, dry cough, and dyspnea with other systemic features such as diarrhea, altered sensorium, stroke & multi-organ failure. HRCT chest is one of the most sensitive modalities for early detection of COVID-19 pneumonia & monitor the outcome of these patients. It is an important complement to the reverse transcriptase polymerase chain reaction (RT-PCR) tests. HRCT shows high specificity & sensitivity in detection of COVID-19 pneumonia being 90.7% & 70.8% respectively. In this pandemic situation, proper diagnosis & management of COVID-19 positive cases largely depends on HRCT findings & severity scoring. TAJ 2021; 34: No-1: 109-114

scholarly journals AI-Assisted CT as a Clinical and Research Tool for COVID-19

2021 ◽  
Vol 4 ◽  
Author(s):  
Zion Tsz Ho Tse ◽  
Sierra Hovet ◽  
Hongliang Ren ◽  
Tristan Barrett ◽  
Sheng Xu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Gold Standard ◽  
Clinical Classification ◽  
Rt Pcr ◽  
Chain Reaction ◽  
The United Kingdom ◽  
Polymerase Chain ◽  
Potential Use ◽  
Pcr Test

There is compelling support for widening the role of computed tomography (CT) for COVID-19 in clinical and research scenarios. Reverse transcription polymerase chain reaction (RT-PCR) testing, the gold standard for COVID-19 diagnosis, has two potential weaknesses: the delay in obtaining results and the possibility of RT-PCR test kits running out when demand spikes or being unavailable altogether. This perspective article discusses the potential use of CT in conjunction with RT-PCR in hospitals lacking sufficient access to RT-PCR test kits. The precedent for this approach is discussed based on the use of CT for COVID-19 diagnosis and screening in the United Kingdom and China. The hurdles and challenges are presented, which need addressing prior to realization of the potential roles for CT artificial intelligence (AI). The potential roles include a more accurate clinical classification, characterization for research roles and mechanisms, and informing clinical trial response criteria as a surrogate for clinical outcomes.

Sign in / Sign up

Export Citation Format

Share Document