The discovery, commercialization, and regular administration of antimicrobial agents have revolutionized the therapeutic paradigm, making it possible to treat previously untreatable and fatal infections. However, the excessive use of antibiotics has led to develop resistance soon after their use in clinical practice, to the point of becoming a global emergency. The mechanisms of bacterial resistance to antibiotics are manifold, including mechanisms of destruction or inactivation, target site modification, or active efflux, and represent the main examples of evolutionary adaptation for the survival of bacterial species. The acquirement of new resistance mechanisms is a consequence of the great genetic plasticity of bacteria, which triggers specific responses that result in mutational adaptation, acquisition of genetic material, or alteration of gene expression, virtually producing resistance to all currently available antibiotics. Understanding resistance processes is critical to the development of new antimicrobial agents to counteract drug-resistant microorganisms. In this review, both the mechanisms of action of antibiotic resistance (AMR) and the antibiotic resistance genes (ARGs) mainly found in clinical and environmental bacteria will be reviewed. Furthermore, the evolutionary background of multidrug-resistant bacteria will be examined, and some promising elements to control or reduce the emergence and spread of AMR will be proposed.

Bartonella species are vector-borne infectious pathogens with a severe impact on animal and human health. This comprehensive systematic review aimed to perform a meta-analysis to evaluate the global impact of this pathogen on pet health. A literature search was performed on electronic databases (Web of Science, PubMed, and Scopus) to find relevant peer-reviewed published papers (n = 131). A random-effects model was employed to calculate pooled prevalence estimates, and Q-statistic and I² index were used to assess the heterogeneity. Based on 20.133 cats and 9.824 dogs, the global prevalence estimates were 15.3% and 3.6%. The heterogeneity was significantly high in both species, with I² = 95.8%, p-value <0.0001, and I² = 87.7%, p-value <0.0001 in cats and dogs, respectively. The meta-analysis conducted using location coordinates showed a consistently high prevalence in regions located between latitudes −40 to −30 or latitudes 30–40 in both populations, in agreement with the pure spatial analysis results, which computed significantly high relative risk areas within these region coordinates. When analyzing cat data for other subgroup moderators, Bartonella spp. prevalence was higher in animals of young age (<1 year, p-value = 0.001), with a free roaming lifestyle (p-value <0.0001) and/or having ectoparasite infestation (p-value = 0.004). Globally, among the Bartonella species detected in cats, Bartonella henselae was the most frequent (13.05%), followed by Bartonella clarridgeiae (1.7%) and Bartonella koehlerae (0.11%). When considering Bartonella henselae genotype distribution, high heterogeneity ( ) was observed based on geographical subgroups. Dogs displayed infection by Bartonella vinsonii subsp. berkhoffii (1.1%), B. henselae (1%), Candidatus B. merieuxii (0.9%) and B. rochalimae (0.38%). The present study provides a global picture of the epidemiological distribution of Bartonella spp. in cat and dog populations that may be pivotal for implementing proper preventive and control measures.

Background: West Nile virus (WNV) is an emerging mosquito-borne neurotropic virus, belonging to the Flaviviridae family and the Orthoflavivirus genus. The effective control of WNV requires a targeted preventive strategy that also needs the identification of the higher-risk populations. Hence, this study focused on a systematic literature review of WNV-acquired infection in work-related settings and the assessment of the exposure risks among different occupational categories. Methods: A comprehensive search was conducted to identify studies until September 2023 in multiple databases such as PubMed/MEDLINE, SCOPUS and Web of Science, according to the PRISMA 2020 statement. Risk of bias of collected papers was assessed by the ROB tool of the National Toxicology Program’s Office of Health Assessment and Translation handbook. Results: A total of 21 studies were included in the systematic review, out of which seventeen were observational studies and four were case reports. Workers identified as at higher risk for WNV infection were military workers, veterinarians, agricultural workers, farmers, and laboratory workers with contact with infected fluids or aerosols. Conclusions: The identification of higher-risk workers could facilitate active surveillance by occupational physicians, which could improve our understanding of the epidemiology of WNV and, in addition, could help tailor appropriate preventive recommendations, reducing the overall burden of disease in high-risk areas.

Objective: The objective was to develop a case-pattern model for Lassa fever (LF) among humans and derive predictors of time-trend point distribution of LF cases in Liberia in view of the prevailing under-reporting and public health challenge posed by the disease in the country. Materials and Methods: A retrospective 5 years data of LF distribution countrywide among humans were used to train a time-trend model of the disease in Liberia. A time-trend quadratic model was selected due to its goodness-of-fit (R² = 0.89, and P < 0.05) and best performance compared to linear and exponential models. Parameter predictors were run on least square method to predict LF cases for a prospective 5 years period, covering 2013-2017. Results: The two-stage predictive model of LF case-pattern between 2013 and 2017 was characterized by a prospective decline within the South-coast County of Grand Bassa over the forecast period and an upward case-trend within the Northern County of Nimba. Case specific exponential increase was predicted for the first 2 years (2013-2014) with a geometric increase over the next 3 years (2015-2017) in Nimba County. Conclusion: This paper describes a translational application of the space-time distribution pattern of LF epidemics, 2008-2012 reported in Liberia, on which a predictive model was developed. We proposed a computationally feasible two-stage space-time permutation approach to estimate the time-trend parameters and conduct predictive inference on LF in Liberia. Résumé Objectif: L'objectif ιtait de mettre au point un cas-modθle pour la fiθvre de Lassa (LF) chez les humains et d'en tirer les prιdicteurs de l'ιvolution des tendances dans le temps point de distribution de LF cas au Libιria en vue de la situation de sous-dιclaration et de la santι publique dιfi posι par la maladie dans le pays. Matιriels et Mιthodes: Une rιtrospective 5 ans donnιes de LF distribution countrywide parmi les humains ont ιtι utilisιs pour former un modθle tendance de la maladie au Libιria. Un temps de tendance modθle quadratique a ιtι sιlectionnι en raison de sa qualitι de l'ajustement (R ² = 0,89, P < 0,05) et ΰ la meilleure performance par rapport au linιaire et exponentielle modθles. Paramθtre prιdicteurs ιtaient exιcuter sur mιthode des moindres carrιs pour prιdire LF cas pour un futur pιriode de 5 ans, couvrant 2013-2017. Rιsultats: La phase deux modθle prιdictif de LF cas-pattern entre 2013 et 2017 a ιtι caractιrisιe par un dιclin ιventuel dans le sud-ouest du comtι de Grand Bassa au cours de la pιriode de prιvision et un vers le haut cas-tendance dans le nord du comtι de Nimba. Cas spιcifique augmentation exponentielle a ιtι prιvue pour les 2 premiθres annιes (2013- 2014) avec une progression gιomιtrique au cours des 3 prochaines annιes (2015- 2017) dans le comtι de Nimba. Conclusion: Ce document dιcrit une application en translation de l'espace-temps rιpartition de LF ιpidιmies, 2008-2012 a rapportι au Libιria, sur lequel un modθle prιdictif a ιtι dιveloppι. Nous avons proposι une infaisable faisable deux-stade espace-temps approche permutation d'estimer le temps de tendance et paramθtres conduite infιrence prιdictive sur LF au Libιria. Mots-clιs: Cas-pattern, la fiθvre de Lassa, modθle de prιvision, de prospective, de tendance temporelle modθle

In the past few years, there has been a spurred tripling in the figures of fungal diseases leading to one of the most alarming rates of extinction ever reported in wild species. Some of these fungal diseases are capable of virulent infections and are now considered emerging diseases due to the extremely high number of cases diagnosed with fungal infections in the last few decades. Most of these mycotic diseases in wildlife are zoonotic, and with the emergence and re-emergence of viral and bacterial zoonotic diseases originating from wildlife, which are causing devastating effects on the human population, it is important to pay attention to these wildlife-borne mycotic diseases with zoonotic capabilities. Several diagnostic techniques such as fungal isolation, gross pathology, histopathology, histochemistry, cytology, immunohistochemistry, radiography, CT, and molecular methods such as PCR or ELISA have been invaluable in the diagnosis of wildlife mycoses. The most important data used in the diagnosis of these wildlife mycoses with a zoonotic potential have been re-emphasized. This will have implications for forestalling future epidemics of these potential zoonotic mycotic diseases originating from wildlife. In conclusion, this review will highlight the etiology, epidemiology, diagnosis, pathogenesis, pathogenicity, pathology, and hematological/serum biochemical findings of five important mycoses found in wild animals.