15 research outputs found
Study on the alteration of bubaline blood biochemical composition owing to slaughter
Bubaline blood biochemistry as affected by slaughter was the agenda for this work. Blood samples were collected from 30 buffaloes from abattoirs before and at slaughter. After biochemical and statistical analysis (mean was compared with t-test), it was observed that the albumin, lactate dehydrogenase and creatine kinase increased (p < 0.05), while globulin, urea nitrogen and creatinine decreased (p < 0.05) significantly. Significant (p < 0.01) increase in glucose and cholesterol, and marginal variation in concentration of total protein and biliurubin were observed. The macro-minerals of the blood were observed to have decreased significantly (p < 0.01) at slaughter. Sodium and chloride decreased, potassium was observed to have increased highly significantly (p < 0.01) due to slaughter. Slaughter induced changes in blood biochemical profile in buffaloes as reported here are of significance in commercial biomedical use of this connective tissue.Keywords: Biochemistry, blood, buffalo, slaughte
Comparison of α1-Antitrypsin, α1-Acid Glycoprotein, Fibrinogen and NOx as Indicator of Subclinical Mastitis in Riverine Buffalo ()
Mastitis set apart as clinical and sub clinical is a disease complex of dairy cattle, with sub clinical being the most important economically. Of late, laboratories showed interest in developing biochemical markers to diagnose sub clinical mastitis (SCM) in herds. Many workers reported noteworthy alternation of acute phase proteins (APPs) and nitric oxide, (measured as nitrate+nitrite = NOx) in milk due to intra-mammary inflammation. But, the literature on validation of these parameters as indicators of SCM, particularly in riverine milch buffalo (Bubalus bubalis) milk is inadequate. Hence, the present study focused on comparing several APPs viz. α1- anti trypsin, α1- acid glycoprotein, fibrinogen and NOx as indicators of SCM in buffalo milk. These components in milk were estimated using standardized analytical protocols. Somatic cell count (SCC) was done microscopically. Microbial culture was done on 5% ovine blood agar. Of the 776 buffaloes (3,096 quarters) sampled, only 347 buffaloes comprising 496 quarters were found positive for SCM i.e. milk culture showed growth in blood agar with SCC≥2×105 cells/ml of milk. The cultural examination revealed Gram positive bacteria as the most prevalent etiological agent. It was observed that α1- anti trypsin and NOx had a highly significant (p<0.01) increase in SCM milk, whereas, the increase of α1- acid glycoprotein in infected milk was significant (p<0.05). Fibrinogen was below detection level in both healthy and SCM milk. The percent sensitivity, specificity and accuracy, predictive values and likelihood ratios were calculated taking bacterial culture examination and SCC≥2×105 cells/ml of milk as the benchmark. Udder profile correlation coefficient was also used. Allowing for statistical and epidemiological analysis, it was concluded that α1- anti trypsin indicates SCM irrespective of etiology, whereas α1- acid glycoprotein better diagnosed SCM caused by gram positive bacteria. NOx did not prove to be a good indicator of SCM. It is recommended measuring both α1- anti trypsin and α1- acid glycoprotein in milk to diagnose SCM in buffalo irrespective of etiology
Managing virtual networks and other resources in a mixed managed domains
HPE OneView is a resource model based infrastructure management appliance which automates deployment, provisioning and integration of compute, storage, and networking infrastructure in a data center. APIC is a policy based manageability appliance for Cisco ACI fabric and offers services to manage policies on a collection of resources of a data center. Cisco ACI interfaces with VMware and automates creation of virtual networks for VMware environment. Cisco ACI also integrates with OpenStack and Microsoft systems for network automation requirements. Keeping OneView resources current with Cisco ACI policies is complex, time consuming and error prone task. Realizing this through an automated mechanism is equally complex involving mechanism to handle large volume of policy updates, ability to handle with low latency, work with message bursts and operate with undefined frequencies
Comparative evaluation of equine mesenchymal stem cells derived from amniotic fluid and umbilical cord blood
Mesenchymal stem cells (MSCs) are promising therapeutic tools for the treatment of tendon rupture and other musculoskeletal injuries in horses. Although MSCs from bone marrow and adipose tissues are commonly used for therapeutic purpose in equines, umbilical cord blood (UCB) and amniotic fluid (AF) are potential non-invasive sources of MSCs. We collected AF and UCB from twenty mares during foaling for isolation of MSCs and evaluated them for the differences in isolation rates, proliferation capacity, expression of MSC markers and multi-lineage differentiation ability. The plastic adherent colonies were observed in 60% AF and 65% UCB samples. The mean doubling time for AF cells was significantly lower than that of UCB cells. The AF-MSCs proliferated till passage 36 whereas UCB-MSCs till passage 20 only. Both AF and UCB derived cells expressed CD29, CD44, CD73, CD90 and CD105 and were negative for haematopoietic and leukocytic markers (CD14, CD34 and CD45). The CD90 and CD73 expression was significantly higher in AF derived cells as compared to UCB-MSCs. On the other hand, CD29 expression was significantly lower in AF derived cells as compared to UCB derived cells. The UCB-MSCs differentiated poorly to adipogenic lineage compared to AF-MSCs. These results suggested that equine AF yields more MSCs with greater in vitro proliferation and differentiation capacities and is better non-invasive source of MSCs for regenerative therapies in equines
EVALUATION OF CHEMICAL AND ELECTROLYTE COMPONENTS OF MILK IN SUBCLINICAL MASTITIS IN HOLSTEIN X HARYANA CATTLE
The present investigation was carried out to investigate whether the chemical and electrolyte components of milk can be used as an indicator to detect subclinical mastitis in Holstein X Haryana cows. The bacterial cultural examination revealed 32 cows comprising 34 quarters are SCM positive. SCM positive and
negative samples were estimated for electrical conductivity (EC) and pH with respective meters, sodium (Na+) and potassium (K+) with Flame photometer and chloride (Cl-) by titremetric method. The result demonstrated statistically significant (p<0.01) increase in EC, Na+ and Cl- and decrease in K+. After studying the correlation coefficient among the milk components and comparing them with a Gold standard (Log10 SCC) separately in normal and infected milk it was found that Na+, Cl- and K+ are the indicators of SCM in the present study
Evaluation of Milk Trace Elements, Lactate Dehydrogenase, Alkaline Phosphatase and Aspartate Aminotransferase Activity of Subclinical Mastitis as and Indicator of Subclinical Mastitis in Riverine Buffalo ()
Mastitis is a highly morbid disease that requires detection at the subclinical stage. Tropical countries like India mainly depend on milch buffaloes for milk. The present study was conducted to investigate whether the trace minerals viz. copper (Cu), iron (Fe), zinc (Zn), cobalt (Co) and manganese (Mn) and enzyme activity of lactate dehydrogenase (LDH), alkaline phosphatase (ALP) and aspartate aminotransferase (AST) in riverine buffalo milk can be used as an indicator of subclinical mastitis (SCM) with the aim of developing suitable diagnostic kit for SCM. Trace elements and enzyme activity in milk were estimated with Atomic absorption Spectrophotometer, GBC 932 plus and biochemical methods, respectively. Somatic cell count (SCC) was done microscopically. The cultural examination revealed Gram positive bacteria as the most prevalent etiological agent. A statistically significant (p<0.01) increase in SCC, Fe, Zn, Co and LDH occurred in SCM milk containing gram positive bacterial agents only. ALP was found to be elevated in milk infected by both gram positive and negative bacteria. The percent sensitivity, specificity and accuracy, predictive values and likelihood ratios were calculated taking bacterial culture examination and SCC≥2×105 cells/ml of milk as the benchmark. Only ALP and Zn, the former being superior, were found to be suitable for diagnosis of SCM irrespective of etiological agents. LDH, Co and Fe can be introduced in the screening programs where Gram positive bacteria are omnipresent. It is recommended that both ALP and Zn be measured together in milk to diagnose buffalo SCM, irrespective of etiology
Comparison of α1-Antitrypsin, α1-Acid Glycoprotein, Fibrinogen and NOx as Indicator of Subclinical Mastitis in Riverine Buffalo ()
Mastitis set apart as clinical and sub clinical is a disease complex of dairy cattle, with sub clinical being the most important economically. Of late, laboratories showed interest in developing biochemical markers to diagnose sub clinical mastitis (SCM) in herds. Many workers reported noteworthy alternation of acute phase proteins (APPs) and nitric oxide, (measured as nitrate+nitrite = NOx) in milk due to intra-mammary inflammation. But, the literature on validation of these parameters as indicators of SCM, particularly in riverine milch buffalo (Bubalus bubalis) milk is inadequate. Hence, the present study focused on comparing several APPs viz. α1- anti trypsin, α1- acid glycoprotein, fibrinogen and NOx as indicators of SCM in buffalo milk. These components in milk were estimated using standardized analytical protocols. Somatic cell count (SCC) was done microscopically. Microbial culture was done on 5% ovine blood agar. Of the 776 buffaloes (3,096 quarters) sampled, only 347 buffaloes comprising 496 quarters were found positive for SCM i.e. milk culture showed growth in blood agar with SCC≥2×105 cells/ml of milk. The cultural examination revealed Gram positive bacteria as the most prevalent etiological agent. It was observed that α1- anti trypsin and NOx had a highly significant (p<0.01) increase in SCM milk, whereas, the increase of α1- acid glycoprotein in infected milk was significant (p<0.05). Fibrinogen was below detection level in both healthy and SCM milk. The percent sensitivity, specificity and accuracy, predictive values and likelihood ratios were calculated taking bacterial culture examination and SCC≥2×105 cells/ml of milk as the benchmark. Udder profile correlation coefficient was also used. Allowing for statistical and epidemiological analysis, it was concluded that α1- anti trypsin indicates SCM irrespective of etiology, whereas α1- acid glycoprotein better diagnosed SCM caused by gram positive bacteria. NOx did not prove to be a good indicator of SCM. It is recommended measuring both α1- anti trypsin and α1- acid glycoprotein in milk to diagnose SCM in buffalo irrespective of etiology