Active screening of COVID-19-associated pulmonary aspergillosis with serum beta-glucan and endotracheal aspirates galactomannan and fungal culture.

BACKGROUND: Since February 2021 active screening of COVID-19-associated pulmonary aspergillosis (CAPA) has been implemented in our institution. OBJECTIVES: To evaluate CAPA incidence in our centre and evaluate performance of our screening protocol. METHODS: We screened once per week, collecting endotracheal aspirates for fungal culture and galactomannan (GM) and serum for 1,3-ß-D-glucan (BG). In case of positivity (GM more than 4.5, platelia assay, and/or BG >7 pg/ml, wako and/or positive fungal culture), second-level investigations were performed to pursue CAPA diagnosis according to ECMM/ISHAM criteria: bronchoalveolar lavage (BAL) fungal culture and GM, chest computed tomography (CT), serum GM. RESULTS: A total of 102 patients were screened (median age 64 years, range 39-79; 28 (27.4%) females). Twenty-two patients were diagnosed with CAPA (21%). 12 patients were positive for serum BG, 17 patients were positive for endotracheal aspirates GM and 27 patients were positive for endotracheal aspirates fungal culture. Thirty-two BALs were performed, and 26 patients underwent CT chest. Following the second level investigations 61% of the patients with positive screening tests were diagnosed with CAPA. Serum BG above 20 pg/ml or positive serum GM were always associated with typical CT chest signs of aspergillosis. Compared with 1 single positive test, having 2 positive screening test was significantly more associated with CAPA diagnosis (p = .0004). CONCLUSIONS: Active CAPA screening with serum 1,3-ß-D-glucan and endotracheal aspirates galactomannan and fungal cultures and consequent second level investigations led to high number of CAPA diagnosis. Combining more positive fungal biomarkers was more predictive of CAPA diagnosis.

Assessing direct analysis in real-time mass spectrometry for the identification and serotyping of Legionella pneumophila.

AIMS: The efficacy of ambient mass spectrometry to identify and serotype Legionella pneumophila was assessed. To this aim, isolated waterborne colonies were submitted to a rapid extraction method and analysed by direct analysis in real-time mass spectrometry (DART-HRMS). METHODS AND RESULTS: The DART-HRMS profiles, coupled with partial least squares discriminant analysis (PLS-DA), were first evaluated for their ability to differentiate Legionella spp. from other bacteria. The resultant classification model achieved an accuracy of 98.1% on validation. Capitalising on these encouraging results, DART-HRMS profiling was explored as an alternative approach for the identification of L. pneumophila sg. 1, L. pneumophila sg. 2-15 and L. non-pneumophila; therefore, a different PLS-DA classifier was built. When tested on a validation set, this second classifier reached an overall accuracy of 95.93%. It identified the harmful L. pneumophila sg. 1 with an impressive specificity (100%) and slightly lower sensitivity (91.7%), and similar performances were reached in the classification of L. pneumophila sg. 2-15 and L. non-pneumophila. CONCLUSIONS: The results of this study show the DART-HMRS method has good accuracy, and it is an effective method for Legionella serogroup profiling. SIGNIFICANCE AND IMPACT OF THE STUDY: These preliminary findings could open a new avenue for the rapid identification and quick epidemiologic tracing of L. pneumophila, with a consequent improvement to risk assessment.

Prevalence of SARS-CoV-2 RNA on inanimate surfaces: a systematic review and meta-analysis.

Coronavirus disease (COVID-19) is a respiratory disease affecting many people and able to be transmitted through direct and perhaps indirect contact. Direct contact transmission, mediated by aerosols or droplets, is widely demonstrated, whereas indirect transmission is only supported by collateral evidence such as virus persistence on inanimate surfaces and data from other similar viruses. The present systematic review aims to estimate SARS-CoV-2 prevalence on inanimate surfaces, identifying risk levels according to surface characteristics. Data were obtained from studies in published papers collected from two databases (PubMed and Embase) with the last search on 1 September 2020. Included studies had to be papers in English, had to deal with coronavirus and had to consider inanimate surfaces in real settings. Studies were coded according to our assessment of the risk that the investigated surfaces could be contaminated by SARS-CoV-2. A meta-analysis and a metaregression were carried out to quantify virus RNA prevalence and to identify important factors driving differences among studies. Thirty-nine out of forty retrieved paper reported studies carried out in healthcare settings on the prevalence of virus RNA, five studies carry out also analyses through cell culture and six tested the viability of isolated viruses. Overall prevalences of SARS-CoV-2 RNA on high-, medium- and low-risk surfaces were 0.22 (CI95 [0.152-0.296]), 0.04 (CI95 [0.007-0.090]), and 0.00 (CI95 [0.00-0.019]), respectively. The duration surfaces were exposed to virus sources (patients) was the main factor explaining differences in prevalence.

Lung "holes" after cryobiopsy: a case report.

BACKGROUND: Transbronchial lung cryobiopsy is a safe technique increasingly used in the study of lung diseases. Until now, only a case of pneumatocele was described but this interesting condition is probably underestimated because CT scan is routinely not performed after transbronchial lung cryobiopsies. CASE PRESENTATION: We report a case of a woman presenting two pneumatoceles after lung cryobiopsies performed for the study of an interstitial lung disease. The finding was obtained with a CT scan performed because of the appearance of hemoptysis, four days after the biopsies. CONCLUSIONS: Small cavitations could develop after cryobiopsies in the absence of an active infection. Studies that prospectively perform CT scan of the chest in patients who have undergone these samplings could be useful to know the incidence of iatrogenic lesions.

Cone beam CT augmented fluoroscopy allows safe and efficient diagnosis of a difficult lung nodule.

BACKGROUND: Detection of small peripheral lung nodules is constantly increasing with the development of low dose computed tomography lung cancer screening programs. A tissue diagnosis is often required to confirm malignity, with endobronchial biopsies being associated with a lower pneumothorax rate than percutaneous approaches. Endoscopic diagnosis of peripheral small size lung nodules is however often challenging using traditional bronchoscopy and endobronchial ultrasound alone. New virtual bronchoscopic navigation techniques such as electromagnetic navigational bronchoscopy (ENB) have developed to improve peripheral navigation, with diagnostic yield however remaining in the 30-50% range for small lesions. Recent studies have shown the benefits of combining Cone beam computed tomography (CBCT) with ENB to improve diagnostic yield to up to 83%. The use of ENB however remains limited by disposable cost, bronchus sign dependency and inaccuracies due to CT to body divergence. CASE PRESENTATION: This case report highlights the feasibility and usefulness of CBCT-guided bronchoscopy for the sampling of lung nodules difficult to reach through traditional bronchoscopy because of nodule size and peripheral position. Procedure was scheduled in a mobile robotic hybrid operating room with patient under general anaesthesia. CBCT acquisition was performed to localize the target lesion and plan the best path to reach it into bronchial tree. A dedicated software was used to segment the lesion and the bronchial path which 3D outlines were automatically fused in real time on the fluoroscopic images to augment live guidance. Navigation to the lesion was guided with bronchoscopy and augmented fluoroscopy alone. Before the sampling, CBCT imaging was repeated to confirm the proper position of the instrument into the lesion. Four transbronchial needle aspirations (TBNA) were performed and the tissue analysis showed a primary lung adenocarcinoma. CONCLUSIONS: CBCT and augmented fluoroscopy technique is a safe and effective and has potential to improve early stage peripheral lesions endobronchial diagnostic yield without ENB. Additional studies are warranted to confirm its safety, efficacy and technical benefits, both for diagnosis of oncological and non-oncological disease and for endobronchial treatment of inoperable patients.

Efficacy of tocilizumab in patients with COVID-19 ARDS undergoing noninvasive ventilation.

BACKGROUND: The severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is extremely variable, ranging from asymptomatic patients to those who develop severe acute respiratory distress syndrome (ARDS). As for now, there are still no really effective therapies for coronavirus disease 2019 (COVID-19). Some evidences suggest that tocilizumab (TCZ) may avoid the progression of severe COVID-19. The aim of this retrospective case-control study was to analyze the efficacy and safety of TCZ in patients with COVID-19 ARDS undergoing noninvasive mechanical ventilation (NIV). METHODS: Seventy-nine consecutive patients with severe COVID-19 pneumonia and worsening acute respiratory failure (ARF) were admitted to the Pulmonology Unit of Azienda USL of Reggio Emilia-IRCCS. All patients were inflamed (elevated CRP and IL-6 levels) and received NIV at admission according to the presence of a pO2/FiO2 ratio ≤ 200 mmHg. The possibility of being treated with TCZ depended on the drug availability. The primary outcome was the in-hospital mortality rate. A secondary composite outcome of worsening was represented by the patients who died in the pulmonology unit or were intubated. RESULTS: Out of 79 patients, 41 were treated with TCZ. Twenty-eight patients received intravenous (IV) TCZ and 13 patients received subcutaneous (SC) TCZ. In-hospital overall mortality rate was 38% (30/79 patients). The probabilities of dying and being intubated during the follow-up using Kaplan-Meier method were significantly lower in total patients treated with TCZ compared to those of patients not treated with TCZ (log-rank p value = 0.006 and 0.036, respectively). However, using Cox multivariate analyses adjusted for age and Charlson comorbidity index only the association with the reduced risk of being intubated or dying maintained the significance (HR 0.44, 95%CI 0.22-0.89, p = 0.022). Two patients treated with TCZ developed cavitating lung lesions during the follow-up. CONCLUSIONS: This study shows that TCZ treatment may be effective in COVID-19 patients with severe respiratory impairment receiving NIV. More data on safety are required. Randomized controlled trials are needed to confirm these results.

Thoracic Hyper-IgG4-Related Disease Mimicking Malignant Pleural Mesothelioma.

We report a rare case of a IgG4-related disease presenting with recurrent pleural effusion, pleural thickness and multiple mediastinal lymphadenopathies and no involvement of other extrathoracic organs. A 65-year-old man with a previous asbestos exposure presented with cough and pain discomfort. A large right pleural effusion was detected and evacuated (siero-haematic liquid). With the suspicious of a pleural mesothelioma, a CT-scan before and a 18F-FDG PET/CT-scan later were performed revealing multiple pleural thickenings and multiple mediastinal lymphadenopathies with radiotracer uptake. EBUS-TBNA EBUS-TBNA did not result in a formal pathological diagnosis; thus, multiple pleural biopsy were performed via right thoracoscopy. At pathology the pleura was markedly thickened by a chronic fibroinflammatory process with scattered lymphoid follicles and a large number of mature plasma cells. Immunohistochemistry shows a mixed B (CD20+) and T (CD3+) population of lymphocytes, without light chain restriction and an increased number of IgG4-positive plasma cells. A presumptive diagnosis of IgG4-related disease was formulated. Total body CT-scan excluded other organ involvement. Blood test showed elevated serum IgG4 concentrations (253 mg/dL) and mild elevation of acute-phase reactants (C-reactive protein 10.7 mg/L). Autoimmune profile was negative. A diagnosis of definite IgG4-related disease was made, and treatment with prednisone 50 mg/day was started.

Atypical diagnosis for typical lung carcinoid.

BACKGROUND: The diagnosis of lung typical carcinoid tumors results challenging when limited size and unfavorable sampling location is associated. It has been reported that bronchoscopy with endobronchial ultrasound (EBUS) significantly increases the diagnostic yield of peripheral nodules smaller than 2 cm. CASE PRESENTATION: A 70-year-old Caucasian male complained of persistent fever and cough despite several antibiotic courses and steroid treatment. Chest radiology revealed the presence of a small single nodular opacity in the left upper lobe, whose standardized maximum uptake value (SUV) at fluorodeoxyglucose positron emission tomography-computed tomography (FDG PET/CT) was significantly high (4.5). The patient underwent bronchial endoscopy but any appreciable sign of endobronchial or intramural involvement was detected. Only radial ultrasound-guided bronchoscopy (R-EBUS) allowed transbronchial sampling whose pathological analysis revealed a typical carcinoid tumor. The patients underwent surgical lobectomy and clinic-radiological follow was started. CONCLUSIONS: With this case we aim at stressing the importance of ultrasound in the diagnostic process of lung small peripheral carcinoid, especially if they present without mucosal or sub mucosal involvement.

Is early integration of palliative care feasible and acceptable for advanced respiratory and gastrointestinal cancer patients? A phase 2 mixed-methods study.

BACKGROUND: There is evidence that early integration of palliative care improves quality of life, lowers spending and helps clarify preferences and goals for advanced cancer patients. Little is known about the feasibility and acceptability of early integration. AIM: Assessing feasibility of early integration of palliative care, and exploring concerns perceived and problems encountered by patients, relatives and oncologists. DESIGN: A phase 2 mixed-methods study ( ClinicalTrials.Gov :NCT02078700). METHODS: Oncologists of two outpatient clinics offered a specialised palliative care intervention integrated with standard oncological care to all consecutive newly diagnosed metastatic respiratory/gastrointestinal cancer patients. We interviewed samples of patients, relatives and oncologists to explore strengths and weaknesses of the intervention. RESULTS: The intervention was proposed to 44/54 eligible patients (81.5%), 40 (90.1%) accepted, 38 (95.0%) attended the first palliative care visit. The intervention was completed for 32 patients (80.0%). It did not start for three (7.5%) and was interrupted for three patients who refused (7.5%). The Palliative Care Unit performed 274 visits in 38 patients (median per patient 4.5), and 24 family meetings with relatives of 16 patients. All patients and most relatives referred to the usefulness of the intervention, specifically for symptoms management, information and support to strategies for coping. Oncologists highlighted their difficulties in informing patients on palliative intervention, sharing information and coordinating patient's care with the palliative care team. CONCLUSION: Early integration of palliative care in oncological setting seems feasible and well accepted by patients, relatives and, to a lesser extent, oncologists. Some difficulties emerged concerning patient information and inter-professional communication.

PUREAIR protocol: randomized controlled trial of intensive pulmonary rehabilitation versus standard care in patients undergoing surgical resection for lung cancer.

BACKGROUND: Non-small cell lung cancer is the most common type of lung cancer. Surgery is proven to be the most effective treatment in early stages, despite its potential impact on quality of life. Pulmonary rehabilitation, either before or after surgery, is associated with reduced morbidity related symptoms and improved exercise capacity, lung function and quality of life. METHODS: We describe the study protocol for the open-label randomized controlled trial we are conducting on patients affected by primary lung cancer (stages I-II) eligible for surgical treatment. The control group receives standard care consisting in one educational session before surgery and early inpatient postoperative physiotherapy. The treatment group receives, in addition to standard care, intensive rehabilitation involving 14 preoperative sessions (6 outpatient and 8 home-based) and 39 postoperative sessions (15 outpatient and 24 home-based) with aerobic, resistance and respiratory training, as well as scar massage and group bodyweight exercise training. Assessments are performed at baseline, the day before surgery and one month and six months after surgery. The main outcome is the long-term exercise capacity measured with the Six-Minute Walk Test; short-term exercise capacity, lung function, postoperative morbidity, length of hospital stay, quality of life (Short Form 12), mood disturbances (Hospital Anxiety and Depression Scale) and pain (Numeric Rating Scale) are also recorded and analysed. Patient compliance and treatment-related side effects are also collected. Statistical analyses will be performed according to the intention-to-treat approach. T-test for independent samples will be used for continuous variables after assessment of normality of distribution. Chi-square test will be used for categorical variables. Expecting a 10% dropout rate, assuming α of 5% and power of 80%, we planned to enrol 140 patients to demonstrate a statistically significant difference of 25 m at Six-Minute Walk Test. DISCUSSION: Pulmonary Resection and Intensive Rehabilitation study (PuReAIR) will contribute significantly in investigating the effects of perioperative rehabilitation on exercise capacity, symptoms, lung function and long-term outcomes in surgically treated lung cancer patients. This study protocol will facilitate interpretation of future results and wide application of evidence-based practice. TRIAL REGISTRATION: ClinicalTrials.gov Registry n. NCT02405273 [31.03.2015].

Individualizing duration of antibiotic therapy in community-acquired pneumonia.

International experts suggest tailoring antibiotic duration in community-acquired pneumonia (CAP) according to patients' characteristics. We aimed to assess the effectiveness of an individualized approach to antibiotic duration based on time in which CAP patients reach clinical stability during hospitalization. In a multicenter, non-inferiority, randomized, controlled trial hospitalized adult patients with CAP reaching clinical stability within 5 days after hospitalization were randomized to a standard vs. individualized antibiotic duration. In the Individualized group, antibiotics were discontinued 48 h after the patient reached clinical stability, with at least five days of total antibiotic treatment. Early failure within 30 days was the primary composite outcome. 135 patients were randomized to the Standard group and 125 to the Individualized group. The trial was interrupted by the safety committee because of an apparent inferiority of the Individualized group over the Standard treatment: 14 (11.2%) patients in the Individualized group experienced early failure vs. 10 (7.4%) patients in the Standard group, p = 0.200, at the intention-to-treat analysis. 30-day mortality rate was four-time higher in the Individualized group than the Standard group. Shortening antibiotic duration according to patients' characteristics still remains an open question.

Empowering veterinary clinical diagnosis in industrial poultry production by ambient mass spectrometry and chemiometrics: a new approach for precise poultry farming.

Untargeted metabolomic profiling, by ambient mass spectrometry and chemometric tools, has made a dramatic impact on human disease detection. In a similar vein, this study attempted the translation of this clinical human disease experience to farmed poultry for precise veterinary diagnosis. As a proof of principle, in this diagnostic/prognostic study, direct analysis in real-time high resolution mass spectrometry (DART-HRMS) was used in an untargeted manner to analyze fresh tissues (abdominal fat, leg skin, liver, and leg muscle) of pigmented and non-pigmented broilers to investigate the causes of lack of pigmentation in an industrial poultry farm. Afterwards, statistical analysis was applied to the DART-HRMS data to retrieve the molecular features that codified for 2 broiler groups, that is, properly pigmented and non-pigmented broilers. Higher abundance of oxidized lipids, high abundance of oxidized bile derivatives, and lower levels of tocopherol isomers (Vitamin E) and retinol (Vitamin A) were captured in nonpigmented than in pigmented broilers. In addition, conventional rapid analyses were used: 1) color parameters of the tissues of pigmented and non-pigmented broilers were measured to rationalize the color differences in abdominal fat, leg skin and leg muscle, and 2) macronutrients were determined in broiler leg muscle, to capture a detailed picture of the pathology and exclude other possible causes. In this study, the DART-HRMS system performed well in retrieving valuable chemical information from broilers that explained the differences between the 2 groups of broilers in absorption of xanthophylls and the subsequent lack of proper broiler pigmentation in affected broilers. The results suggest this technology could be useful in providing near real-time feedback to aid in veterinary decision-making in poultry farming.

A Snapshot, Using a Multi-Omic Approach, of the Metabolic Cross-Talk and the Dynamics of the Resident Microbiota in Ripening Cheese Inoculated with Listeria innocua.

Raw milk cheeses harbor complex microbial communities. Some of these microorganisms are technologically essential, but undesirable microorganisms can also be present. While most of the microbial dynamics and cross-talking studies involving interaction between food-derived bacteria have been carried out on agar plates in laboratory-controlled conditions, the present study evaluated the modulation of the resident microbiota and the changes of metabolite production directly in ripening raw milk cheese inoculated with Listeria innocua strains. Using a proxy of the pathogenic Listeria monocytogenes, we aimed to establish the key microbiota players and chemical signals that characterize Latteria raw milk cheese over 60 days of ripening time. The microbiota of both the control and Listeria-inoculated cheeses was analyzed using 16S rRNA targeted amplicon sequencing, while direct analysis in real time mass spectrometry (DART-HRMS) was applied to investigate the differences in the metabolic profiles of the cheeses. The diversity analysis showed the same microbial diversity trend in both the control cheese and the inoculated cheese, while the taxonomic analysis highlighted the most representative genera of bacteria in both the control and inoculated cheese: Lactobacillus and Streptococcus. On the other hand, the metabolic fingerprints revealed that the complex interactions between resident microbiota and L. innocua were governed by continuously changing chemical signals. Changes in the amounts of small organic acids, hydroxyl fatty acids, and antimicrobial compounds, including pyroglutamic acid, hydroxy-isocaproic acid, malic acid, phenyllactic acid, and lactic acid, were observed over time in the L. innocua-inoculated cheese. In cheese that was inoculated with L. innocua, Streptococcus was significantly correlated with the volatile compounds carboxylbenzaldheyde and cyclohexanecarboxylic acid, while Lactobacillus was positively correlated with some volatile and flavor compounds (cyclohexanecarboxylic acid, pyroxidal acid, aminobenzoic acid, and vanillic acid). Therefore, we determined the metabolic markers that characterize a raw milk cheese inoculated with L. innocua, the changes in these markers with the ripening time, and the positive correlation of flavor and volatile compounds with the resident microbiota. This multi-omics approach could suggest innovative food safety strategies based on the enhanced management of undesirable microorganisms by means of strain selection in raw matrices and the addition of specific antimicrobial metabolites to prevent the growth of undesirable microorganisms.

Authenticity assessment of ground black pepper by combining headspace gas-chromatography ion mobility spectrometry and machine learning.

Currently, the authentication of ground black pepper is a major concern, creating a need for a rapid, highly sensitive and specific detection tool to prevent the introduction of adulterated batches into the food chain. To this aim, head space gas-chromatography ion mobility spectrometry (HS-GC-IMS), combined with machine learning, is tested in this initial, proof-of-concept study. A broad variety of authentic samples originating from eight countries and three continents were collected and spiked with a range of adulterants, both endogenous sub-products and an assortment of exogenous materials. The method is characterized by no sample preparation and requires 20 min for chromatographic separation and ion mobility data acquisition. After an explorative analysis of the data, those were submitted to two different machine learning algorithms (partial least squared discriminant analysis-PLS-DA and support vector machine-SVM). While the PLS-DA model did not provide fully satisfactory performances, the combination of HS-GC-IMS and SVM successfully classified the samples as authentic, exogenously-adulterated or endogenously-adulterated with an overall accuracy of 90 % and 96 % on withheld test set 1 and withheld test set 2, respectively (at a 95 % confidence level). Some limitations, expected to be mitigated by further research, were encountered in the correct classification of endogenously adulterated ground black pepper. Correct categorization of the ground black pepper samples was not adversely affected by the operator or the time span of data collection (the method development and model challenge were carried out by two operators over 6 months of the study, using ground black pepper harvested between 2015 and 2019). Therefore, HS-GC-IMS, coupled to an intelligent tool, is proposed to: (i) aid in industrial decision-making before utilization of a new batch of ground black pepper in the production chain; (ii) reduce the use of time-consuming conventional analyses and; (iii) increase the number of ground black pepper samples analyzed within an industrial quality control frame.

Redetermination of PD-L1 expression after chemio-radiation in locally advanced PDL1 negative NSCLC patients: retrospective multicentric analysis.

Background: Chemoradiation therapy (CRT) is the treatment of choice for locally advanced non-small cell lung cancer (LA-NSCLC). Several clinical trials that combine programmed cell death 1 (PD1) axis inhibitors with radiotherapy are in development for patients with LA-NSCLC. However, the effect of CRT on tumor cells programmed cell death ligand-1 (PD-L1) expression is unknown. Methods: In this multicentric retrospective study, we analyzed paired NSCLC specimens that had been obtained pre- and post-CRT. PD-L1 expression on tumor cells was studied by immunohistochemistry. The purpose of this study was to evaluate the feasibility, risk of complications, and clinical relevance of performing re-biopsy after CRT in patients with PD-L1 negative LA-NSCLC. Results: Overall, 31 patients from 6 centers with PD-L1 negative LA-NSCLC were analyzed. The percentage of tumor cells with PD-L1 expression significantly increased between pre- and post-CRT specimens in 14 patients (45%). Nine patients had unchanged PD-L1 expression after CRT, in five patients the rebiopsy material was insufficient for PD-L1 analysis and in two patients no tumor cells at rebiopsy were found. The post-rebiopsy complication rate was very low (6%). All patients with positive PD-L1 re-biopsy received Durvalumab maintenance after CRT, except one patient who had a long hospitalization for tuberculosis reactivation. Median PFS of patients with unchanged or increased PD-L1 expression was 10 and 16.9 months, respectively. Conclusion: CRT administration can induce PD-L1 expression in a considerable fraction of PD-L1 negative patients at baseline, allowing them receiving the maintenance Durvalumab in Europe. Hence, after a definitive CRT, PD-L1 redetermination should be considered in patients with LA-NSCLC PD-L1 negative, to have a better selection of maintenance Durvalumab candidates.

A simple and reliable liquid chromatography-tandem mass spectrometry method for determination of ochratoxin A in hard cheese.

This paper reports a simple and reliable mass spectrometry hyphenated chromatographic method for ochratoxin A determination in hard cheese. The method is based on a simple extraction using an acetonitrile:water (84:16, v/v) solution acidified with 2.5% acetic acid. After a defatting step with n-hexane, the extract was directly analysed by LC-MS/MS without any further clean-up step. The method showed good linearity and specificity, and it was in-house validated in the range of 1-16 µg/kg, resulting in 93.75% mean overall recovery (confidence interval 1.36%) and 3.42% coefficient of variatioin (CV). The analytical performances were also satisfactory in terms of sensitivity (limit of quantification = 1 µg/kg); although no legal limits have been set up for cheese, this value is consistent with the tolerances fixed for other regulated foods. Preliminary results on 40 commercial samples of grated hard cheese are presented.

Thermal desorption direct analysis in real-time high-resolution mass spectrometry and machine learning allow the rapid authentication of ground black pepper and dried oregano: A proof-of-concept study.

Thermal desorption direct analysis in real-time high-resolution mass spectrometry (TD-DART-HRMS) approaches have gained popularity for fast screening of a variety of samples. With rapid volatilization of the sample at increasing temperatures outside the mass spectrometer, this technique can provide a direct readout of the sample content with no sample preparation. In this study, TD-DART-HRMS's utility for establishing spice authenticity was examined. To this aim, we directly analyzed authentic (typical) and adulterated (atypical) samples of ground black pepper and dried oregano in positive and negative ion modes. We analyzed a set of authentic ground black pepper samples (n = 14) originating from Brazil, Sri Lanka, Madagascar, Ecuador, Vietnam, Costa Rica, Indonesia, Cambodia, and adulterated samples (n = 25) consisting of mixtures of ground black pepper with this spice's nonfunctional by-products (pinheads or spent) or with different exogenous materials (olive kernel, green lentils, black mustard seeds, red beans, gypsum plaster, garlic, papaya seeds, chili, green aniseed, or coriander seeds). TD-DART-HRMS facilitated the capture of informative fingerprinting of authentic dried oregano (n = 12) originating from Albania, Turkey, and Italy and those spiked (n = 12) with increasing percentages of olive leaves, sumac, strawberry tree leaves, myrtle, and rock rose. A predictive LASSO classifier was built, after merging by low-level data fusion, the positive and negative datasets for ground black pepper. Fusing multimodal data allowed retrieval of more comprehensive information from both datasets. The resultant classifier achieved on the withheld test set accuracy, sensitivity, and specificity of 100%, 75%, and 90%, respectively. On the contrary, the sole TD-(+)DART-HRMS spectra of the oregano samples allowed construction of a LASSO classifier that predicted the adulteration of the oregano with excellent statistical indicators. This classifier achieved, on the withheld test set, 100% each for accuracy, sensitivity, and specificity.

Metabolic signature of Mycobacterium avium subsp. paratuberculosis infected and infectious dairy cattle by integrating nuclear magnetic resonance analysis and blood indices.

The early diagnosis of Mycobacterium avium subsp. paratuberculosis (MAP) is one of the current challenges of farmers and veterinarians. This work aimed to investigate the changes in metabolic levels associated with natural MAP infection in infected and infectious dairy cattle. The study included sera from 23 infectious/seropositive, 10 infected but non-infectious/seronegative, and 26 negative Holstein Fresian cattle. The samples were selected from a collection of samples gathered during a prospective study. The samples were analyzed by quantitative nuclear magnetic resonance (NMR) spectroscopy and routine blood chemistry. The blood indices and the 1H NMR data were concatenated by low-level data fusion, resulting in a unique global fingerprint. Afterwards, the merged dataset was statistically analyzed by the least absolute shrinkage and selection operator (LASSO), which is a shrinkage and selection method for supervised learning. Finally, pathways analysis was performed to get more insights on the possible dysregulated metabolic pathways. The LASSO model achieved, in a 10 time repeated 5-fold cross-validation, an overall accuracy of 91.5% with high values of sensitivity and specificity in classifying correctly the negative, infected, and infectious animals. The pathway analysis revealed MAP-infected cattle have increased tyrosine metabolism and enhanced phenylalanine, tyrosine and tryptophan biosynthesis. The enhanced synthesis and degradation of ketone bodies was observed both in infected and infectious cattle. In conclusion, fusing data from multiple sources has proved to be useful in exploring the altered metabolic pathways in MAP infection and potentially diagnosing negative animals within paratuberculosis-infected herds.

DART-HRMS allows the detection of toxic alkaloids in animal autopsy specimens and guides the selection of confirmatory methods in accidental plant poisoning.

BACKGROUND: In cases of suspected animal poisonings or intoxications, there is the need for high-throughput, rapid and accurate analytical tools capable of giving rapid answers and, thus, speeding up the early stages of investigations. Conventional analyses are very precise, but do not meet the need for rapid answers capable of orienting the decisions and the choice of appropriate countermeasures. In this context, the use of ambient mass spectrometry (AMS) screening methods in toxicology laboratories could satisfy the requests of forensic toxicology veterinarians in a timely manner. RESULTS: As a proof of principle, direct analysis in real time high resolution mass spectrometry (DART-HRMS) was applied to a veterinary forensic case in which 12 of a group of 27 sheep and goats died with an acute neurological onset. Because of evidence in the rumen contents, the veterinarians hypothesized an accidental intoxication after ingestion of vegetable materials. The DART-HRMS results showed abundant signals of the alkaloids calycanthine, folicanthidine and calycanthidine, both in the rumen content and at the liver level. The DART-HRMS phytochemical fingerprinting of detached Chimonanthus praecox seeds was also compared with those acquired from the autopsy specimens. Liver, rumen content and seed extracts were then subjected to LC-HRMS/MS analysis to gather additional insights and confirm the putative assignment of calycanthine anticipated by DART-HRMS. HPLC-HRMS/MS confirmed the presence of calycanthine in both rumen contents and liver specimens and allowed its quantification, ranging from 21.3 to 46.9 mg kg-1 in the latter. This is the first report detailing the quantification of calycanthine in liver after a deadly intoxication event. SIGNIFICANCE AND NOVELTY: Our study illustrates the potential of DART-HRMS to offer a rapid and complementary alternative to guide the selection of confirmatory chromatography-MSn strategies in the analysis of autopsy specimens from animals with suspected alkaloid intoxication. This method offers the consequent saving of time and resources over those needed for other methods.

A multi-center validation study on the discrimination of Legionella pneumophila sg.1, Legionella pneumophila sg. 2-15 and Legionella non-pneumophila isolates from water by FT-IR spectroscopy.

This study developed and validated a method, based on the coupling of Fourier-transform infrared spectroscopy (FT-IR) and machine learning, for the automated serotyping of Legionella pneumophila serogroup 1, Legionella pneumophila serogroups 2-15 as well as their successful discrimination from Legionella non-pneumophila. As Legionella presents significant intra- and inter-species heterogeneities, careful data validation strategies were applied to minimize late-stage performance variations of the method across a large microbial population. A total of 244 isolates were analyzed. In details, the method was validated with a multi-centric approach with isolates from Italian thermal and drinking water (n = 82) as well as with samples from German, Italian, French, and British collections (n = 162). Specifically, robustness of the method was verified over the time-span of 1 year with multiple operators and two different FT-IR instruments located in Italy and Germany. Moreover, different production procedures for the solid culture medium (in-house or commercial) and different culture conditions (with and without 2.5% CO2) were tested. The method achieved an overall accuracy of 100, 98.5, and 93.9% on the Italian test set of Legionella, an independent batch of Legionella from multiple European culture collections, and an extra set of rare Legionella non-pneumophila, respectively.