Luciano Kleber de Souza Luna

Dr. Luciano Kleber de Souza Luna

Centro de Imunobiológicos Veterinários, Instituto de Tecnologia do Paraná, Curitiba, Paraná, Brazil
orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2007 in Journal of Clinical Microbiology
Verified
Journal Article
Closed access
Luciano Kleber de Souza LunaLuciano Kleber de Souza Luna
Luciano Kleber de Souza Luna
VHVolker Heiser
Volker Heiser
NRNicolas Regamey
Nicolas Regamey
MPMarcus Panning
Marcus Panning
JDJan-Felix Drexler
Jan-Felix Drexler
CDChristian Drosten
Christian Drosten
A nonfluorescent low-cost, low-density oligonucleotide array was designed for detecting the whole coronavirus genus after reverse transcription (RT)-PCR. The limit of detection was 15.7 copies/reaction. The clinical detection limit in patients with severe acute respiratory syndrome was 100 copies/sample. In 39 children suffering from coronavirus 229E, NL63, OC43, or HKU1, the sensitivity was equal to that of individual real-time RT-PCRs.

1 September 2008 in Emerging Infectious Diseases
Verified
Journal Article
Open access
JDJan-Felix Drexler
Jan-Felix Drexler
Luciano Kleber de Souza LunaLuciano Kleber de Souza Luna
Luciano Kleber de Souza Luna
ASAndreas Stöcker
Andreas Stöcker
PAPatrícia Silva Almeida
Patrícia Silva Almeida
TRTereza Cristina Medrado Ribeiro
Tereza Cristina Medrado Ribeiro
CDChristian Drosten
Christian Drosten
Cardioviruses cause serious disease, mainly in rodents, including diabetes, myocarditis, encephalomyelitis, and multiple sclerosis–like disseminated encephalomyelitis. Recently, a human virus isolate obtained 25 years ago, termed Saffold virus, was sequenced and classified as a cardiovirus. We conducted systematic molecular screening for Saffold-like viruses in 844 fecal samples from patients with gastroenteritis from Germany and Brazil, across all age groups. Six cardioviruses were identified in patients <6 years of age. Viral loads were 283,305–5,044,412,175 copies/g of stool. Co-infections occurred in 4 of 6 children. No evidence for outbreak-like epidemic patterns was found. Phylogenetic analysis identified 3 distinct genetic lineages. Viral protein 1 amino acids were 67.9%–77.7% identical and had a distance of at least 39.4% from known cardioviruses. Because closely related strains were found on 2 continents, global distribution in humans is suspected. Saffold-like viruses may be the first human cardiovirus species to be identified.

1 January 2008 in Journal of Clinical Microbiology
Verified
Journal Article
Closed access
SBSigrid Baumgarte
Sigrid Baumgarte
Luciano Kleber de Souza LunaLuciano Kleber de Souza Luna
Luciano Kleber de Souza Luna
KGKlaus Grywna
Klaus Grywna
MPMarcus Panning
Marcus Panning
JDJan-Felix Drexler
Jan-Felix Drexler
CDChristian Drosten
Christian Drosten
Parechovirus epidemiology and disease association are not fully understood. Real-time reverse transcriptase PCR (RT-PCR) for all human parechoviruses (HPeV) was applied on stool samples from two groups of patients. Both groups contained patients with acute enteritis of all age groups, seen during one full year. Patients with norovirus, adenovirus, enterovirus, astrovirus, or rotavirus infections were excluded. In 118 patients from outbreak and hospital settings, no HPeV was detected. In a prospective study group of 499 nonhospitalized patients, the detection rate was 1.6%. One virus-positive patient was detected from 39 control patients. Positive samples occurred only in summer and autumn. Only one patient had accompanying respiratory symptoms. An association with travel or animal contact was not found. All positive patients except one were <2 years of age, with a neutral gender ratio. In children <2 years of age, the detection rate was 11.6% (7 of 60 children). The range of viral loads was 3,170 to 503,377,290 copies per gram or milliliter of stool. One of the highest viral loads occurred in a control child without symptoms at the time of testing. Phylogenetic analysis showed mainly contemporary HPeV1 strains in our patients but also showed a separate new lineage of HPeV1 in evolutionary transition from the historical prototype strain. Moreover, a novel sixth HPeV type was identified. Full genome analysis of the two viruses revealed recombination between HPeV1 and -3 in one and HPeV6 and -1 in another. HPeV seems relevant in children <2 years and specific RT-PCR for HPeV should be included in enteritis screening.

1 July 2006 in Clinical Chemistry
Verified
Journal Article
Open access
PDF file
CDChristian Drosten
Christian Drosten
MPMarcus Panning
Marcus Panning
JDJan-Felix Drexler
Jan-Felix Drexler
FHFlorian HänSel
Florian HänSel
CPCelia Pedroso
Celia Pedroso
Wolfgang PreiserWolfgang Preiser
Wolfgang Preiser
Background: Current HIV-1 viral-load assays are too expensive for resource-limited settings. In some countries, monitoring of antiretroviral therapy is now more expensive than treatment itself. In addition, some commercial assays have shown shortcomings in quantifying rare genotypes. Methods: We evaluated real-time reverse transcription-PCR with internal control targeting the conserved long terminal repeat (LTR) domain of HIV-1 on reference panels and patient samples from Brazil (n = 1186), South Africa (n = 130), India (n = 44), and Germany (n = 127). Results: The detection limit was 31.9 IU of HIV-1 RNA/mL of plasma (>95% probability of detection, Probit analysis). The internal control showed inhibition in 3.7% of samples (95% confidence interval, 2.32%–5.9%; n = 454; 40 different runs). Comparative qualitative testing yielded the following: Roche Amplicor vs LTR assay (n = 431 samples), 51.7% vs 65% positives; Amplicor Ultrasensitive vs LTR (n = 133), 81.2% vs 82.7%; BioMerieux NucliSens HIV-1 QT (n = 453), 60.5% vs 65.1%; Bayer Versant 3.0 (n = 433), 57.7% vs 55.4%; total (n = 1450), 59.0% vs 63.8% positives. Intra-/interassay variability at medium and near-negative concentrations was 18%–51%. The quantification range was 50–10 000 000 IU/mL. Viral loads for subtypes A–D, F–J, AE, and AG yielded mean differences of 0.31 log10 compared with Amplicor in the 103–104 IU/mL range. HIV-1 N and O were not detected by Amplicor, but yielded up to 180 180.00 IU/mL in the LTR assay. Viral loads in stored samples from all countries, compared with Amplicor, NucliSens, or Versant, yielded regression line slopes (SD) of 0.9 (0.13) (P <0.001 for all). Conclusions: This method offers all features of commercial assays and covers all relevant genotypes. It could allow general monitoring of antiretroviral therapy in resource-limited settings.

27 October 2016 in Journal of Medical Virology
Verified
Journal Article
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Luciano Kleber de Souza LunaLuciano Kleber de Souza Luna
Luciano Kleber de Souza Luna
ARAlcir Humberto Rodrigues
Alcir Humberto Rodrigues
RSRodrigo Ivo Marques Santos
Rodrigo Ivo Marques Santos
RCRenata Sesti Costa
Renata Sesti Costa
MCMiriã Ferreira Criado
Miriã Ferreira Criado
Eurico ArrudaEurico Arruda
Eurico Arruda

1 March 2007 in The Journal of Infectious Diseases
Verified
Journal Article
Open access
PDF file
Luciano Kleber de Souza LunaLuciano Kleber de Souza Luna
Luciano Kleber de Souza Luna
MPMarcus Panning
Marcus Panning
KGKlaus Grywna
Klaus Grywna
SPSusanne Pfefferle
Susanne Pfefferle
CDChristian Drosten
Christian Drosten
Respiratory infections after air travel are frequent, but epidemiological data are incomplete. Using sensitive polymerase chain reactions, we studied the spectrum of atypical bacteria and respiratory viruses in travelers fulfilling the case definition of severe acute respiratory syndrome. A pathogen was identified in 67 travelers (43.2%). Influenza and parainfluenza viruses were most prevalent, at 14.2% and 15.5%, respectively. Prevalences of adenoviruses, human metapneumovirus, coronaviruses, and rhinoviruses ranged between 2.6% and 4.8%. Human bocavirus, respiratory syncytial virus, and Legionella, Mycoplasma, and Chlamydophila species were absent or appeared at frequencies of <1%. To our knowledge, these are the first specific baseline data for the mentioned agents in the context of air travel.