scholarly journals Mastitis associated with Prototheca zopfii - an emerging health and economic problem on dairy farms

2016 ◽  
Vol 60 (4) ◽  
pp. 373-378 ◽  
Author(s):  
Dubravka Milanov ◽  
Tamaš Petrović ◽  
Vladimir Polaček ◽  
Ljiljana Suvajdžić ◽  
Jovan Bojkovski

Abstract Increased incidence of protothecal mastitis has been recorded in several countries in the past ten years. The main goal of this article is to draw the attention of scientific and professional community to the emerging issue of mammary protothecosis. The article collates currently known facts about infection reservoirs, predisposing factors for the development of mastitis, clinical manifestations of the disease, and potential transmission routes within the herd as well as the measures for control and eradication. We would like to point out that identification of protothecal mastitis on a dairy farm is associated with a range of problems. Early detection of infected animals can be difficult because of predominantly subclinical course of early-stage infection, which easily spreads between cows via the milking system. Spontaneous recovery has not been recorded and infected cows typically develop chronic mastitis with granulomatous infiltration and progressive loss of functional parenchyma of the mammary gland. Substantial economic losses and health damages associated with mammary protothecosis strongly emphasise the need for developing effective prevention strategies aimed at control of the infection.

2021 ◽  
pp. 81-88
Author(s):  
Y. N. Maksimov ◽  
D. Kh. Khaibullina

Back and neck pain is widespread in the population. Preferably, patients of working age are sick, which leads to serious economic losses. The transition of pain from acute to chronic increases financial costs, so effective treatment of back pain is an important medical, social and economic problem. Musculoskeletal pain (MSP) prevails among all types of back pain. The source of the MSP can be various structures of the musculoskeletal system: bones, joints, muscles, fascia, tendons, ligaments, intervertebral discs. The provoking factors for the development of the MSP are static and dynamic overloads arising from physical work, long stay in a fixed posture, unprepared movements, hypothermia, vibrations. The leading diagnostic method for the MSP is a physical research of a patient which includes a detailed collection of complaints and anamnesis, inspection in statics and dynamics, carrying out global and special tests, neuroorthopedic and neurological research. In most cases, the analysis of the results obtained allows you to set a clinical diagnosis without appointing additional research methods. Two cases of acute MSP with different localization, clinical manifestations and flow are offered to the discussion. In the first case, the process was localized in the muscles of the law back. In the second patient, the muscular tonic syndrome developed in the muscles of the neck and shoulder belt and was supported by functional blockades of the vertebral motor segments. For the treatment of both patients, NSAID, muscle relaxant, glucocorticoid, as well as non-drug therapy methods were used. For local injection therapy, a drug group of glucocorticoids was used, having a sodium phosphate and betamethazone dipropionate as part of the sodium betamethasone. The combination of two betamethazone salts provides both the rapid and prolonged effect of the drug, which makes it reasonable to use it with acute musculoskeletal pain.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ze Peng ◽  
Yanhong He ◽  
Saroj Parajuli ◽  
Qian You ◽  
Weining Wang ◽  
...  

AbstractDowny mildew (DM), caused by obligate parasitic oomycetes, is a destructive disease for a wide range of crops worldwide. Recent outbreaks of impatiens downy mildew (IDM) in many countries have caused huge economic losses. A system to reveal plant–pathogen interactions in the early stage of infection and quickly assess resistance/susceptibility of plants to DM is desired. In this study, we established an early and rapid system to achieve these goals using impatiens as a model. Thirty-two cultivars of Impatiens walleriana and I. hawkeri were evaluated for their responses to IDM at cotyledon, first/second pair of true leaf, and mature plant stages. All I. walleriana cultivars were highly susceptible to IDM. While all I. hawkeri cultivars were resistant to IDM starting at the first true leaf stage, many (14/16) were susceptible to IDM at the cotyledon stage. Two cultivars showed resistance even at the cotyledon stage. Histological characterization showed that the resistance mechanism of the I. hawkeri cultivars resembles that in grapevine and type II resistance in sunflower. By integrating full-length transcriptome sequencing (Iso-Seq) and RNA-Seq, we constructed the first reference transcriptome for Impatiens comprised of 48,758 sequences with an N50 length of 2060 bp. Comparative transcriptome and qRT-PCR analyses revealed strong candidate genes for IDM resistance, including three resistance genes orthologous to the sunflower gene RGC203, a potential candidate associated with DM resistance. Our approach of integrating early disease-resistance phenotyping, histological characterization, and transcriptome analysis lay a solid foundation to improve DM resistance in impatiens and may provide a model for other crops.


2021 ◽  
Vol 13 (10) ◽  
pp. 1975
Author(s):  
Lin Wang ◽  
Yuzhen Zhou ◽  
Qiao Hu ◽  
Zhenghong Tang ◽  
Yufeng Ge ◽  
...  

Woody plant encroachment into grasslands ecosystems causes significantly ecological destruction and economic losses. Effective and efficient management largely benefits from accurate and timely detection of encroaching species at an early development stage. Recent advances in unmanned aircraft systems (UAS) enabled easier access to ultra-high spatial resolution images at a centimeter level, together with the latest machine learning based image segmentation algorithms, making it possible to detect small-sized individuals of target species at early development stage and identify them when mixed with other species. However, few studies have investigated the optimal practical spatial resolution of early encroaching species detection. Hence, we investigated the performance of four popular semantic segmentation algorithms (decision tree, DT; random forest, RF; AlexNet; and ResNet) on a multi-species forest classification case with UAS-collected RGB images in original and down-sampled coarser spatial resolutions. The objective of this study was to explore the optimal segmentation algorithm and spatial resolution for eastern redcedar (Juniperus virginiana, ERC) early detection and its classification within a multi-species forest context. To be specific, firstly, we implemented and compared the performance of the four semantic segmentation algorithms with images in the original spatial resolution (0.694 cm). The highest overall accuracy was 0.918 achieved by ResNet with a mean interaction over union at 85.0%. Secondly, we evaluated the performance of ResNet algorithm with images in down-sampled spatial resolutions (1 cm to 5 cm with 0.5 cm interval). When applied on the down-sampled images, ERC segmentation performance decreased with decreasing spatial resolution, especially for those images coarser than 3 cm spatial resolution. The UAS together with the state-of-the-art semantic segmentation algorithms provides a promising tool for early-stage detection and localization of ERC and the development of effective management strategies for mixed-species forest management.


2021 ◽  
Vol 10 (2) ◽  
pp. 300
Author(s):  
Madeline Drake ◽  
Shah-Jahan M. Dodwad ◽  
Joy Davis ◽  
Lillian S. Kao ◽  
Yanna Cao ◽  
...  

The incidence of acute and chronic pancreatitis is increasing in the United States. Rates of acute pancreatitis (AP) are similar in both sexes, but chronic pancreatitis (CP) is more common in males. When stratified by etiology, women have higher rates of gallstone AP, while men have higher rates of alcohol- and tobacco-related AP and CP, hypercalcemic AP, hypertriglyceridemic AP, malignancy-related AP, and type 1 autoimmune pancreatitis (AIP). No significant sex-related differences have been reported in medication-induced AP or type 2 AIP. Whether post-endoscopic retrograde cholangiopancreatography pancreatitis is sex-associated remains controversial. Animal models have demonstrated sex-related differences in the rates of induction and severity of AP, CP, and AIP. Animal and human studies have suggested that a combination of risk factor profiles, as well as genes, may be responsible for the observed differences. More investigation into the sex-related differences of AP and CP is desired in order to improve clinical management by developing effective prevention strategies, diagnostics, and therapeutics.


1997 ◽  
Vol 10 (3) ◽  
pp. 419-443 ◽  
Author(s):  
E K Wagner ◽  
D C Bloom

The clinical manifestations of herpes simplex virus infection generally involve a mild and localized primary infection followed by asymptomatic (latent) infection interrupted sporadically by periods of recrudescence (reactivation) where virus replication and associated cytopathologic findings are manifest at the site of initial infection. During the latent phase of infection, viral genomes, but not infectious virus itself, can be detected in sensory and autonomic neurons. The process of latent infection and reactivation has been subject to continuing investigation in animal models and, more recently, in cultured cells. The initiation and maintenance of latent infection in neurons are apparently passive phenomena in that no virus gene products need be expressed or are required. Despite this, a single latency-associated transcript (LAT) encoded by DNA encompassing about 6% of the viral genome is expressed during latent infection in a minority of neurons containing viral DNA. This transcript is spliced, and the intron derived from this splicing is stably maintained in the nucleus of neurons expressing it. Reactivation, which can be induced by stress and assayed in several animal models, is facilitated by the expression of LAT. Although the mechanism of action of LAT-mediated facilitation of reactivation is not clear, all available evidence argues against its involving the expression of a protein. Rather, the most consistent models of action involve LAT expression playing a cis-acting role in a very early stage of the reactivation process.


2003 ◽  
Vol 57 (5-6) ◽  
pp. 349-630
Author(s):  
Branka Vidic ◽  
Stanko Bobos

Data on L. hardjo infection of dairy cows in the world pint out its important role in the occurrence of health and economic problem. L. interrogans serotype hardjo has been described as the cause of miscarriages, stillbirts, or the birhs of poorly vital calves, agalactia, mastitis, and low fertility in cows. Two L. hardjo genotypes have been identified in cows, namely, hardjopraitno and hardjobovis. Serological investigations have established a drastic increase in this leptospiral infection in cows. L. hardjo has become adapted to cattle as the primary host, so that an infection is maintained in herds and becomes deeply rooted because of the permanent presence of the source of infection. It was believed that sheep were accidental hosts, but the latest research suggest that they are yet another, transitory, host for maintining this leptospira serotype. L. hardjo is also important from the aspect of human health, especially of persons who are professionally exposed to this infection. L. hardjo infection is detected using serological tests and by proving the presence of leptospira. The medicine of choice in the therapy of leptospiral infections is streptomycin (DSM). Therapy using oxytetracyclines for clinical mastitis was also proven effective. Treatment is most successful in the early stage of the disease. A single dose of streptomycin administered in infected herds reduces the duration period of leptospira excretion through urine, thus preventing the spread of infection thorugh contaminated urine. The basic components of the plan to contain leptospira are the following: serological investigations, sanitary-higiene measures, the elimination of animals which excrete leptospira through urine, therapy, vaccination, quarantine.


2021 ◽  
Author(s):  
Emma Ahlqvist ◽  
Rashmi B Prasad ◽  
Leif Groop

Type 2 diabetes (T2D) is one of the fastest increasing diseases worldwide. Although it is defined by a single metabolite, glucose, it is increasingly recognized as a highly heterogeneous disease with varying clinical manifestations. Identification of different subtypes at an early stage of disease when complications might still be prevented could hopefully allow for more personalized medicine. An important step towards precision medicine would be to target the right resources to the right patients, thereby improving patient health and reducing health costs for the society. More well-defined disease populations also offer increased power in experimental, genetic and clinical studies. In a recent study, we used six clinical variables (GAD autoantibodies, age at onset of diabetes, HbA1c, BMI, and simple measures of insulin resistance and insulin secretion (so called HOMA estimates) to cluster adult-onset diabetes patients into five subgroups. These subgroups have been robustly reproduced in several populations worldwide and are associated with different risks of diabetic complications and responses to treatment. Importantly, the group with severe insulin-deficient diabetes (SIDD) had increased risk of retinopathy and neuropathy, whereas the severe insulin-resistant diabetes (SIRD) group has the highest risk for diabetic kidney disease (DKD) and fatty liver. This emphasizes the key role of insulin resistance in the pathogenesis of DKD and fatty liver in T2D. In conclusion, this novel sub-classification, breaking down T2D in clinically meaningful subgroups, provides the prerequisite framework for expanded personalized medicine in diabetes beyond what is already available for monogenic and to some extent type 1 diabetes.


2022 ◽  
Vol 12 ◽  
Author(s):  
Fei Xia ◽  
Xiaojun Xie ◽  
Zongqin Wang ◽  
Shichao Jin ◽  
Ke Yan ◽  
...  

Plants are often attacked by various pathogens during their growth, which may cause environmental pollution, food shortages, or economic losses in a certain area. Integration of high throughput phenomics data and computer vision (CV) provides a great opportunity to realize plant disease diagnosis in the early stage and uncover the subtype or stage patterns in the disease progression. In this study, we proposed a novel computational framework for plant disease identification and subtype discovery through a deep-embedding image-clustering strategy, Weighted Distance Metric and the t-stochastic neighbor embedding algorithm (WDM-tSNE). To verify the effectiveness, we applied our method on four public datasets of images. The results demonstrated that the newly developed tool is capable of identifying the plant disease and further uncover the underlying subtypes associated with pathogenic resistance. In summary, the current framework provides great clustering performance for the root or leave images of diseased plants with pronounced disease spots or symptoms.


2020 ◽  
Vol 2 (3) ◽  
pp. 43-46
Author(s):  
Eloiza Sarmento Amoras ◽  
Anderson Luiz Pena Costa

Aflatoxins are toxic secondary metabolites produced by the fungi of the genus Aspergillus. These substances cause food poisoning with clinical manifestations that vary according to the time of exposure and concentration of the dose ingested, representing a serious public health problem for compromising the food security, also causing considerable economic losses both in the production of stocked vegetable foods, as well as in the livestock contaminated with these substances through the feed. Therefore, this literature review aims to introduce some aspects related to the contamination of food by the fungi of the genus Aspergillus, the chemical and toxicological properties of the aflatoxins, as well as the strategies of control to avoid them in food.


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