Journal of Vector Borne Diseases最新文献

Background objectives: Aedes aegypti and Ae. albopictus are two sympatric mosquito species that compete with each other for resources when their breeding habitats overlap. This study examines what happens when sympatric Ae. aegypti and Ae. albopictus mosquitoes' mate with each other and other species by looking at insemination rates, fecundity, and hatchability rate.

Methods: We performed controlled mating experiments in laboratory settings, assessing both conspecific and interspecific crosses. We measured insemination rates, egg numbers, and hatching success to examine the reproductive interference dynamics between these two distinct mosquito species.

Results: In the context of conspecific mating, it was observed that both female Ae. aegypti and Ae. albopictus exhibited high insemination rates, with percentages 98% and 94%, respectively. However, interspecific mating exhibited interesting asymmetries as Ae. albopictus males achieved a notable insemination success rate of 28% when mating with Ae. aegypti females, while Ae. aegypti males achieved only an 8% insemination success with Ae. albopictus females. Additionally, females that mated with interspecific males had reduced production of viable eggs compared to conspecific mating. Most notably, interspecific mating resulted in the production of infertile eggs, while conspecific mating led to successful hatching.

Interpretation conclusion: The study reveals that Ae. aegypti and Ae. albopictus can asymmetrically interfere with each other's reproduction, causing a 'satyr' effect. This understanding of interspecific competition and reproductive interference in these mosquito species could impact their coexistence in shared breeding habitats.

Lyme disease (LD) and tick-bome relapsing fever (TBRF), both consequences of Borrelia burgdorferi infection, pose significant public health threats with overlapping symptomatic presentations. A previous study explores the potential of line immunoblots (IBs) as a transformative diagnostic tool for distinguishing between LD and TBRF. By employing strategically designed recombinant proteins on nitrocellulose membrane strips, IBs offer enhanced accuracy in identifying antibodies in patient samples. While serological assays for LD have seen advancements, the diagnostic landscape for TBRF lags behind, necessitating comprehensive diagnostic approaches capable of addressing both conditions. Immunoblots, with their ability to detect antibodies with exceptional precision, not only facilitate accurate diagnosis but also enable tailored patient treatment and monitoring of treatment response. The study underscores the importance of immunoblots in improving diagnostic accuracy and patient outcomes for tick- borne diseases. In conclusion, as research progresses in understanding LD and TBRF, immunoblots emerge not only as diagnostic tool but also as valuable resources for advancing research and refining patient treatment strategies.

Background objectives: Cutaneous leishmaniasis (CL) is a vector-borne parasitic disease caused by several species of the protozoan parasite Leishmania. The need for new anti-leishmanial drugs for the treatment of CL is complicated by factors such as high cost, toxicity, potential for resistance and limited long-term use of existing anti-leishmanial drugs. The aim of this study was to investigate the therapeutic effect of Tarantula cubensis alcoholic extract (TCE), which has been shown to have wound-healing, anti-inflammatory, regenerative, resolving and epithelialising effects, on Leishmania major promastigotes in vitro and in vivo in an experimental mouse model of CL.

Methods: The effect of TCE on L. major promastigotes in vitro was investigated after determining non-cytotoxic concentrations of TCE using the XTT method. To establish a CL model, L. major amastigotes were injected into the paws of BALB/c mice. Lesion size and histopathological evaluation were used to assess the effect of treatment.

Results: TCE was found to be effective against L. major promastigotes at 24 h and 48 h at concentrations 250 μg/ mL, 125 μg/mL and 62.5 μg/mL ( P <0.05). TCE was found to be more effective than meglumine antimonate in treating CL in the experimentally induced CL model in BALB/c mice.

Interpretation conclusion: The results suggest that TCE holds promising potential as a therapeutic agent for the treatment of CL. However, further extensive investigations are required to substantiate and expand our understanding in this area.

Background objectives: Hantavirus and leptospirosis infections are zoonotic diseases with similar clinical and laboratory findings. The aim of this study is to identify the distinguishing features of these two diseases, for which a definitive diagnosis can take a long time.

Methods: Between September 2021 and June 2023, a total of 45 patients who were admitted to our hospital and were diagnosed with hemorrhagic fever with renal syndrome (HFRS) or leptospirosis were retrospectively evaluated. Patients were compared in terms of demographic data, clinical, and laboratory parameters. The role of these variables in predicting HFRS or leptospirosis was investigated. The two diseases were compared with regard to outcomes. Receiver operating characteristics were employed for the calculation of cut-off values, sensitivity, specificity, and positive and negative predictive values for parameters showing significant differences. A statistical significance level of p<0.05 was considered.

Results: Fifteen patients diagnosed with HFRS and thirty patients diagnosed with leptospirosis were included in the study. In both groups, hospital admissions were observed with non-specific and similar symptoms. There was no statistically significant difference observed between the two groups in terms of length of hospital stay, blood product transfusion, requirement for hemodialysis, intensive care unit admission, the rate of return to normal renal function and mortality. Elevated ferritin levels were statistically significant in favor of HFRS, while lymphopenia, elevated bilirubin, CRP, and ESR were statistically significant in favor of leptospirosis.

Interpretation conclusion: The use of laboratory findings and clinical symptoms can aid in the challenging task of accurately diagnosing and using appropriate treatment for these two diseases.

Dengue fever is one of the most widespread vector-borne viral infections in the world, resulting in increased socio-economic burden. WHO has reported that 2.5 billion people are infected with dengue fever across the world, resulting in high mortalities in tropical and subtropical regions. The current article endeavors to present an overview of predicting dengue outbreaks through data-based machine-learning models. This artificial intelligence model uses real world data such as dengue surveillance, climatic variables, and epidemiological data and combines big data with machine learning algorithms to forecast dengue. Monitoring and predicting dengue incidences has been significantly enhanced through innovative approaches. This involves gathering data on various climatic factors, including temperature, rainfall, relative humidity, and wind speed, along with monthly records of dengue cases. The study functions as an efficient warning system, enabling the anticipation of dengue outbreaks. This early warning system not only alerts communities but also aids relevant authorities in implementing crucial preventive measures.

Background objectives: RNA viruses are complex pathogens in terms of their genetic makeup, mutation frequency, and transmission modes. They contain the RNA helicase enzyme, which plays a crucial role in the viral genome replication process. This work aims to develop and screen a potential molecule that could function as a dengue virus (DENV) RNA helicase inhibitor.

Methods: The present study was performed by taking 26 potential derivatives of gedunin phytochemicals from the PubChem database as ligands. The binding of the compounds was analyzed by in silico docking considering DENV RNA helicase enzyme as the receptor.

Results: After a thorough analysis of the docking scores, toxicity, and physicochemical properties, the compound tetrahydrogedunin was obtained as the best. Based on tetrahydrogedunin molecular structure, 100 drug-like molecules were designed using the Data Warrior tool. After screening for drug-likeness and ADMET properties, derivative number 42 was considered as promising. Further comparative docking of derivative 42 and a standard inhibitor molecule ST-610 with DENV RNA helicase enzyme showed binding affinity of 10.0 kcal/mol and -9.6 kcal/mol, respectively. The favorable interaction between DENV RNA helicase and derivative 42 was further validated by 50 nanoseconds molecular dynamics simulation and MM-GBSA analysis.

Interpretation conclusion: Since the antiviral activity of derivative 42 has not been reported till date, the compound was predicted as a novel therapeutic molecule that can act against the dengue virus (DENV) RNA helicase enzyme.

Background objectives: Scrub typhus is clinically undifferentiated from other aetiologies for acute febrile illness such as enteric fever, dengue, malaria, and leptospirosis. Rapid ELISA tests are being used as an alternative to immunofluorescence assay in tropical countries.

Methods: In this study, we compared and evaluated commercially available InBios Scrub Typhus Detect IgM Rapid Test (USA) for diagnosing human scrub typhus infection using archived and prospectively collected samples against the reference standard, InBios Scrub Typhus Detect IgM ELISA (USA).

Results: The data analysis of archived samples on rapid test revealed a moderate sensitivity of 53.92% and a specificity of 100%. Meanwhile, prospective serum samples demonstrated higher sensitivity and specificity of 96.4% and 94.6%, respectively.

Interpretation conclusion: The InBios Scrub Typhus Detect IgM rapid test can be a good point-of-care assay during surveillance, outbreak investigations, and case identification.

Canine leishmaniasis (CanL) is a zoonotic disease caused by infection with Leishmania infantum and transmitted by female phlebotomine sandflies. It is prevalent in the Mediterranean basin, including the Maghreb region which comprises of Algeria, Tunisia, and Morocco. The environmental conditions in this area provide a suitable habitat for the proliferation of the phlebotomine sandfly, making it an endemic region for CanL. In this context, we carried out a systematic review and meta-analysis on the prevalence of canine leishmaniasis in these three Maghreb countries, identifying the risk factors for L. infantum infection. Data were collected from 27 papers published between 1973 and 2022 selected from five databases: PubMed, Google Scholar, ResearchGate, ScienceDirect and Scopus. Our selection criteria included both descriptive and analytical studies on canine leishmaniasis in Maghreb, as well as epidemiological studies that reported the prevalence of leishmaniasis infection. The meta-analysis was performed using Review Manager (RevMan) software version 5.4.1. based on predefined inclusion criteria. A total of 11,736 dogs were included in the analysis, among which 2481 were tested Leishmania positive cases. Over the years, the highest prevalence (68.32%) was recorded in Tiaret (Algeria) and the lowest (4.3%) in Tunisia. The examination of the risk factors revealed a heightened incidence of the disease in dogs of shepherd breeds, living in rural environments, displaying no apparent symptoms, and falling within the age range of 2 to 4 years. The findings presented in this study contribute a significant value to the exploration of leishmaniasis in this region, particularly by shedding light on the associated risk factors. Ultimately, substantial endeavors are warranted to enhance prevention, treatment, and overall control of the disease.

Background objectives: Despite progress, malaria remains endemic in Jazan, Saudi Arabia necessitating epidemiological research to guide elimination strategies. This study analyzed recent surveillance data to elucidate drivers of sustained transmission. A retrospective epidemiological study was conducted using malaria surveillance data from the Jazan region of Saudi Arabia over a 3-year period from January 2018 to December 2020.

Methods: Deidentified records of all confirmed malaria cases reported across Jazan during the study period were obtained from Jazan Department of Health infectious disease surveillance system. Additional meteorological data was acquired to assess climatic correlates. The final analysis included 5255 confirmed cases that met the completeness criteria for key variables. Descriptive statistics characterized cases across demographic factors and spatial and temporal distributions. Correlations and linear regression modeling identified associations between monthly cases and weather parameters mapping visualized geographic patterns.

Results: Of the 5255 confirmed cases, most were concentrated in Baish sector (50.8-72.0% annually), affected adult male foreigners (93.8-97.0%), peaked inconsistently across seasons, and were imported (85.4-94.9%). Non-Saudi nationalities had 6-fold higher incidence versus Saudi citizens in 2020 (677.6 vs 23.1 per 100,000). Monthly cases associated negatively with temperature (p=0.015) and positively with windspeed (p=0.005).

Interpretation conclusion: Malaria persistence in Jazan involves geographic and demographic hotspots driven by imported infections and climate effects on vectors. Tailored programming aligned with evolving local dynamics will be essential to sustain elimination gains. Surveillance, optimized interventions, and flexible adaptation to high-risk locations and/or populations and meteorological influences are key priorities.

From ancient times until 21st century, Malaria has remained a fatal disease. It causes death in many poor and developing countries. Excluding vector control, Antimalarial drugs are the most reliable and effective weapon to tackle this severe disease. The emergence of antimalarial drug resistance in Plasmodium spp. becomes a barrier in Malaria elimination program as there has been no effective antimalarial vaccine till today. Apart from artemisinin, most of the antimalarial drugs have become resistant against malaria at present. Although, reduced efficacy of artemisinin-based combination therapy (ACT) has also been reported from southeast regions of Asia. Mutation of some genes within the parasite play a vital role in this drug resistance. Therefore, malaria is still a prime threat to human death and an unsolved problem. Newly emerging approaches like, vaccine development, plants based antimalarial drugs, nanoparticles, next generation antimalarial drugs should be taken & supported. In addition to that, public awareness is much needed for understanding the fatality of the disease and for encouraging self-protection and early treatment.