20 research outputs found
Investigating the effects of vitreous humour (crude extract) on growth and differentiation of rat mesenchymal stem cells (rMSCs) and human NTERA2 cells
It is very well documented that retinoic acid (RA) reduces growth rate by induction of cell differentiation in certain conditions and cell lines. On the other hand, hyaluronic acid (HA) is known for its growth induction on cultured cells. A natural source of HA, rabbit vitreous humour (VH), was previously shown to promote wound repair in model animals. In search for its possible mechanisms, VH extract was tested on the cultured mesenchymal stem cells and NTERA2 as human embryonal carcinoma cells in the presence of RA. Changes in some cellular and molecular markers (A2B5, Oct4, Sox2) showed that VH and possibly HA interfere with differentiating effects of RA. Therefore, this reagent may affect cell proliferation and tissue regeneration by inhibition of cell differentiation.Π₯ΠΎΡΠΎΡΠΎ ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎ, ΡΡΠΎ ΡΠ΅ΡΠΈΠ½ΠΎΠ΅Π²Π°Ρ ΠΊΠΈΡΠ»ΠΎΡΠ° (RA) ΡΠ½ΠΈΠΆΠ°Π΅Ρ ΡΠ΅ΠΌΠΏΡ ΡΠΎΡΡΠ°, ΠΈΠ½Π΄ΡΡΠΈΡΡΡ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΡ ΠΊΠ»Π΅ΡΠΎΡΠ½ΡΡ
Π»ΠΈΠ½ΠΈΠΉ Π² ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
. ΠΠΌΠ΅ΡΡΠ΅ Ρ ΡΠ΅ΠΌ ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎ, ΡΡΠΎ Π³ΠΈΠ°Π»ΡΡΠΎΠ½ΠΎΠ²Π°Ρ ΠΊΠΈΡΠ»ΠΎΡΠ° (HA) ΠΈΠ½Π΄ΡΡΠΈΡΡΠ΅Ρ ΡΠΎΡΡ ΠΊΡΠ»ΡΡΠΈΠ²ΠΈΡΡΠ΅ΠΌΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ. Π Π°Π½Π΅Π΅ Π±ΡΠ»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π΅ΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΉ ΠΈΡΡΠΎΡΠ½ΠΈΠΊ ΠΠ, ΡΡΠ΅ΠΊΠ»ΠΎΠ²ΠΈΠ΄Π½ΠΎΠ΅ ΡΠ΅Π»ΠΎ (VH) ΠΊΡΠΎΠ»ΠΈΠΊΠ°, Π²ΡΠ·ΡΠ²Π°Π΅Ρ Π·Π°ΠΆΠΈΠ²Π»Π΅Π½ΠΈΠ΅ ΡΠ°Π½ Ρ ΠΌΠΎΠ΄Π΅Π»ΡΠ½ΡΡ
ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
. Π ΠΏΠΎΠΈΡΠΊΠ°Ρ
Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ° ΡΡΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΡΠΊΡΡΡΠ°ΠΊΡ ΡΡΠ΅ΠΊΠ»ΠΎΠ²ΠΈΠ΄Π½ΠΎΠ³ΠΎ ΡΠ΅Π»Π° Π±ΡΠ» ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ Π½Π° ΠΊΡΠ»ΡΡΠΈΠ²ΠΈΡΡΠ΅ΠΌΡΡ
ΠΌΠ΅Π·Π΅Π½Ρ
ΠΈΠΌΠ°Π»ΡΠ½ΡΡ
ΡΡΠ²ΠΎΠ»ΠΎΠ²ΡΡ
ΠΊΠ»Π΅ΡΠΊΠ°Ρ
ΠΈ ΠΊΠ»Π΅ΡΠΊΠ°Ρ
NTERA2 ΡΠΌΠ±ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΊΠ°ΡΡΠΈΠ½ΠΎΠΌΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Π² ΠΏΡΠΈΡΡΡΡΡΠ²ΠΈΠΈ RA. ΠΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π½Π΅ΠΊΠΎΡΠΎΡΡΡ
ΠΊΠ»Π΅ΡΠΎΡΠ½ΡΡ
ΠΈ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΡΡ
ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² (A2B5, Oct4, Sox2) ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΡΠΎ VH ΠΈ, Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ, HA Π²Π»ΠΈΡΡΡ Π½Π° Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΡΡΡΠΈΠ΅ ΡΡΡΠ΅ΠΊΡΡ RA. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΡΡΠΎ Π²Π΅ΡΠ΅ΡΡΠ²ΠΎ ΠΌΠΎΠΆΠ΅Ρ Π²Π»ΠΈΡΡΡ Π½Π° ΠΏΡΠΎΠ»ΠΈΡΠ΅ΡΠ°ΡΠΈΡ ΠΊΠ»Π΅ΡΠΎΠΊ ΠΈ ΡΠ΅Π³Π΅Π½Π΅ΡΠ°ΡΠΈΡ ΡΠΊΠ°Π½Π΅ΠΉ, ΠΈΠ½Π³ΠΈΠ±ΠΈΡΡΡ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΡ ΠΊΠ»Π΅ΡΠΎΠΊ.ΠΠΎΠ±ΡΠ΅ Π²ΡΠ΄ΠΎΠΌΠΎ, ΡΠΎ ΡΠ΅ΡΠΈΠ½ΠΎΡΠ²Π° ΠΊΠΈΡΠ»ΠΎΡΠ° (RA) Π·Π½ΠΈΠΆΡΡ ΡΠ΅ΠΌΠΏΠΈ ΡΠΎΡΡΡ, ΡΠ½Π΄ΡΠΊΡΡΡΠΈ Π΄ΠΈΡΠ΅ΡΠ΅Π½ΡΡΠ°ΡΡΡ ΠΊΠ»ΡΡΠΊΠΎΠ²ΠΈΡ
Π»ΡΠ½ΡΠΉ Π² ΠΏΠ΅Π²Π½ΠΈΡ
ΡΠΌΠΎΠ²Π°Ρ
. Π Π°Π·ΠΎΠΌ Π· ΡΠΈΠΌ Π²ΡΠ΄ΠΎΠΌΠΎ, ΡΠΎ Π³ΡΠ°Π»ΡΡΠΎΠ½ΠΎΠ²Π° ΠΊΠΈΡΠ»ΠΎΡΠ° (ΠΠ) ΡΠ½Π΄ΡΠΊΡΡ ΡΡΡΡ ΠΊΡΠ»ΡΡΠΈΠ²ΠΎ- Π²Π°Π½ΠΈΡ
ΠΊΠ»ΡΡΠΈΠ½. Π Π°Π½ΡΡΠ΅ Π±ΡΠ»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΠΎ ΠΏΡΠΈΡΠΎΠ΄Π½Π΅ Π΄ΠΆΠ΅ΡΠ΅Π»ΠΎ ΠΠ, ΡΠΊΠ»ΠΎΠΏΠΎΠ΄ΡΠ±Π½Π΅ ΡΡΠ»ΠΎ (VH) ΠΊΡΠΎΠ»Ρ, Π²ΠΈΠΊΠ»ΠΈΠΊΠ°Ρ Π·Π°Π³ΠΎΡΠ½Π½Ρ ΡΠ°Π½ Ρ ΠΌΠΎΠ΄Π΅Π»ΡΠ½ΠΈΡ
ΡΠ²Π°ΡΠΈΠ½. Π ΠΏΠΎΡΡΠΊΠ°Ρ
ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΠ³ΠΎ ΠΌΠ΅Ρ
Π°Π½ΡΠ·ΠΌΡ ΡΡΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡ Π΅ΠΊΡΡΡΠ°ΠΊΡ ΡΠΊΠ»ΠΎΠΏΠΎΠ΄ΡΠ±Π½ΠΎΠ³ΠΎ ΡΡΠ»Π° Π±ΡΠ² Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½ΠΈΠΉ Π½Π° ΠΊΡΠ»ΡΡΠΈΠ²ΠΎΠ²Π°Π½ΠΈΡ
ΠΌΠ΅Π·Π΅Π½Ρ
ΡΠΌΠ°Π»ΡΠ½ΠΈΡ
ΡΡΠΎΠ²Π±ΡΡΠΎΠ²ΠΈΡ
ΠΊΠ»ΡΡΠΈΠ½Π°Ρ
ΡΠ° ΠΊΠ»ΡΡΠΈΠ½Π°Ρ
NTERA2 Π΅ΠΌΠ±ΡΡΠΎΠ½Π°Π»ΡΠ½ΠΎΡ ΠΊΠ°ΡΡΠΈΠ½ΠΎΠΌΠΈ Π»ΡΠ΄ΠΈΠ½ΠΈ Π² ΠΏΡΠΈΡΡΡΠ½ΠΎΡΡΡ RA. ΠΠΌΡΠ½ΠΈ Π΄Π΅ΡΠΊΠΈΡ
ΠΊΠ»ΡΡΠΈΠ½Π½ΠΈΡ
ΡΠ° ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΈΡ
ΠΌΠ°ΡΠΊΠ΅ΡΡΠ² (A2B5, Oct4, Sox2) ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΠΎ VH Ρ, ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎ, ΠΠ Π²ΠΏΠ»ΠΈΠ²Π°ΡΡΡ Π½Π° Π΄ΠΈΡΠ΅ΡΠ΅Π½ΡΡΡΡΡΡ Π΅ΡΠ΅ΠΊΡΠΈ RA. Π’Π°ΠΊΠΈΠΌ ΡΠΈΠ½ΠΎΠΌ, ΡΡ ΡΠ΅ΡΠΎΠ²ΠΈΠ½Π° ΠΌΠΎΠΆΠ΅ Π²ΠΏΠ»ΠΈΠ²Π°ΡΠΈ Π½Π° ΠΏΡΠΎΠ»ΡΡΠ΅ΡΠ°ΡΡΡ Ρ ΡΠ΅Π³Π΅Π½Π΅ΡΠ°ΡΡΡ ΡΠΊΠ°Π½ΠΈΠ½, ΡΠ½Π³ΡΠ±ΡΡΡΠΈ Π΄ΠΈΡΠ΅ΡΠ΅Π½ΡΡΠ°ΡΡΡ ΠΊΠ»ΡΡΠΈΠ½
Knowledge acquisition and representation model for developing an expert system for pavement maintenance and REhabilitation strategy in the State of Ohio (ESPRESSO)
Formation of eudialyte-bearing phonolite from Kontozero carbonatite paleovolcano, Kola Peninsula
Black swans, power laws, and dragon-kings: Earthquakes, volcanic eruptions, landslides, wildfires, floods, and SOC models
Extreme events that change global society have been characterized as black swans. The frequency-size distributions of many natural phenomena are often well approximated by power-law (fractal) distributions. An important question is whether the probability of extreme events can be estimated by extrapolating the power-law distributions. Events that exceed these extrapolations have been characterized as dragon-kings. In this paper we consider extreme events for earthquakes, volcanic eruptions, wildfires, landslides and floods. We also consider the extreme event behavior of three models that exhibit self-organized criticality (SOC): the slider-block, forest-fire, and sand-pile models. Since extrapolations using power-laws are widely used in probabilistic hazard assessment, the occurrence of dragon-king events have important practical implications
Leaf Area Index (LAI) Change Detection Analysis on Loblolly Pine (<I>Pinus taeda</I>) Following Complete Understory Removal
Black swans, power laws, and dragon-kings: Earthquakes, volcanic eruptions, landslides, wildfires, floods, and SOC models
Socio-Behavioral Risk Factors Associated with Cryptosporidiosis in HIV/AIDS Patients Visiting the HIV Referral Clinic at Cape Coast Teaching Hospital, Ghana
bjective: To identify the socio-behavioral risk factors associated with cryptosporidiosis among HIV/AIDS patients with chronic diarrhea symptoms visiting the HIV referral clinic at Cape Coast Teaching Hospital, Ghana. Methods: A cross-sectional study was conducted among 50 HIV/AIDS patients with recurrent diarrhea. Questionnaires were administered to collect social and behavioral risk factors associated with Cryptosporidium and other opportunistic protozoan parasitic infections in HIV patients. Stool samples were collected for the diagnosis of enteric protozoan pathogens using modified Ziehl-Neelsen and acid-fast staining methods. CD4+ cells counts of study subjects were obtained from patients clinical records. The data obtained were analyzed using Pearson chi-square and multivariate-adjusted statistics tool on SPSS 16 for Windows. Results: Twenty-seven (54%) of the subjects were infected with enteric protozoan pathogens. The prevalences of Cryptosporidium, Cyclospora and Microsporidium infections were 46%, 32% and 16%, respectively. Cryptosporidium infection was significantly associated with drinking water (Γ2=13.528, p500 cells/mm3. Multivariate analysis showed that the risk factor for Cryptosporidium infection among HIV/AIDS patients was the source of drinking water (pipe borne water 76.2% prevalence: sachet water 25%; OR=0.10, 95%CI: 0.03-0.39, p<0.001). Conclusion: We report the risk factor for exposure of Cryptosporidium infection among HIV/AIDS patients for the first time in Ghana. The contamination of drinking water by protozoan parasites should be a public health concern. These results provide the stepping block to understand the transmission dynamics of Cryptosporidium and other opportunistic pathogens in HIV/AIDS infected patients in Ghana