Application of a real time Polymerase Chain Reaction (PCR) assay for the early diagnosis of human leptospirosis in Sri Lanka

Denipitiya, D.T.H.; Chandrasekharan, N.V.; Abeyewickreme, W.; Hartskeerl, C.M.; Hartskeerl, Rudy A.; Jiffrey, A.M.; Hapugoda, Menaka

doi:10.1016/j.biologicals.2016.09.004

Cited by 17 publications

(15 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Leptospira tests showed polymerase chain reaction−negative results and positive microscopic agglutination test results confirming Leptospirosis infection 6 . Because Leptospira are present in the bloodstream for about 7 to 14 days following infection, with urinary presence lasting for about 1 month, no bacterial DNA was found in either of the samples collected for polymerase chain reaction testing, suggesting that the persistent symptoms were from the immune response to infection 7 …”

Section: Discussionmentioning

confidence: 96%

Atypical Renal Presentation in Severe Leptospirosis

Małecki

Gołembiewska

Muraszko

et al. 2019

Kidney International Reports

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 96%

Atypical Renal Presentation in Severe Leptospirosis

Małecki

Gołembiewska

Muraszko

et al. 2019

Kidney International Reports

View full text Add to dashboard Cite

“…Due to the unavailability of serovar-specific MAT (Standard-MAT) at the MRI, Sri Lanka, another study was carried out to compare the Patoc-MAT with standard MAT using patient serum samples. An acceptable level of agreement between patoc-MAT and standard-MAT was observed and therefore patoc-MAT was subsequently used [18]. …”

Section: Methodsmentioning

confidence: 99%

Identification of cattle, buffaloes and rodents as reservoir animals of Leptospira in the District of Gampaha, Sri Lanka

et al. 2017

Self Cite

View full text Add to dashboard Cite

BackgroundLeptospirosis is an important emerging infectious disease in Sri Lanka. Rats are the most important reservoir of Leptospira but domestic and wild mammals may also act as important maintenance or accidental hosts. In Sri Lanka, knowledge of reservoir animals of leptospires is poor. The objective of this study was to identify potential reservoir animals of Leptospira in the District of Gampaha, Sri Lanka.FindingsBlood and kidney samples were collected from 38 rodents and mid-stream urine samples were randomly collected from 45 cattle and five buffaloes in the District of Gampaha. Kidney and urine samples were tested by real-time polymerase chain reaction (PCR) and serum samples were tested by the microscopic agglutination test (MAT). Of the 38 rodent kidney samples, 11% (4/38) were positive by real-time PCR. The prevalence of leptospiral carriage was 11% (3/26) and 8% (1/12) in female and male rodents, respectively. Three rodent serum samples were positive by MAT. Of the 50 cattle/buffalo urine samples tested, 10% (5/50) were positive by real-time PCR. The prevalence of leptospiral carriage was 9% (4/45) and 20% (1/5) in cattle and buffaloes, respectively.ConclusionResults of PCR and MAT showed that Leptospira were present in a significant proportion of the rodents and farm animals tested in this study and suggest that these (semi-) domestic animals form an infection reservoir for Leptospira. Therefore, there is a potential zoonotic risk to public health, most notably to farmers in this area.

show abstract

“…As a detection technique, qPCR has significant advantages[ 1 ]. However, the number of factors influencing the process is relatively high, and the interactions between these factors are complicated, especially in multiplex qPCR systems.…”

Section: Discussionmentioning

confidence: 99%

“…Real-time quantitative PCR (qPCR) can quantitatively analyze a reaction template (nucleic acid) via the real-time continuous monitoring of the fluorescence signal generated from each cycle of the PCR amplification process. This technique has the advantages of being highly specific, highly sensitive, reproducible, accurately quantifiable, and highly automatable[ 1 , 2 ]. Therefore, real-time PCR has been widely applied in fields such as molecular diagnostics, life sciences, agriculture, medicine, and food science[ 3 – 5 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of multiplex quantitative polymerase chain reaction based on response surface methodology and an artificial neural network-genetic algorithm approach

Pan

Jin

et al. 2018

PLoS ONE

View full text Add to dashboard Cite

Multiplex quantitative polymerase chain reaction (qPCR) has found an increasing range of applications. The construction of a reliable and dynamic mathematical model for multiplex qPCR that analyzes the effects of interactions between variables is therefore especially important. This work aimed to analyze the effects of interactions between variables through response surface method (RSM) for uni- and multiplex qPCR, and further optimize the parameters by constructing two mathematical models via RSM and back-propagation neural network-genetic algorithm (BPNN-GA) respectively. The statistical analysis showed that Mg2+ was the most important factor for both uni- and multiplex qPCR. Dynamic models of uni- and multiplex qPCR could be constructed using both RSM and BPNN-GA methods. But RSM was better than BPNN-GA on prediction performance in terms of the mean absolute error (MAE), the mean square error (MSE) and the Coefficient of Determination (R2). Ultimately, optimal parameters of uni- and multiplex qPCR were determined by RSM.

show abstract

Application of a real time Polymerase Chain Reaction (PCR) assay for the early diagnosis of human leptospirosis in Sri Lanka

Cited by 17 publications

References 27 publications

Atypical Renal Presentation in Severe Leptospirosis

Atypical Renal Presentation in Severe Leptospirosis

Identification of cattle, buffaloes and rodents as reservoir animals of Leptospira in the District of Gampaha, Sri Lanka

Optimization of multiplex quantitative polymerase chain reaction based on response surface methodology and an artificial neural network-genetic algorithm approach

Contact Info

Product

Resources

About