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Article ; Online: Production of recombinant His-tagged triple-FLAG peptide in Brevibacillus choshinensis and its utilization as an easy-to-remove affinity peptide.

Sugihara, Daiki / Ono, Fuka / Sugino, Motoki / Suzuki, Hiromi / Endo, Noriko / Shimada, Atsuhiro / Ebihara, Akio

Bioscience, biotechnology, and biochemistry

2023 Volume 87, Issue 9, Page(s) 1029–1035

Abstract: Triple-FLAG (3 × FLAG)-tagged proteins can be affinity purified through binding to an anti-FLAG antibody and competitive elution with excess free 3 × FLAG peptide. To expand the availability of the 3 × FLAG purification system, we produced a recombinant ... ...

Abstract	Triple-FLAG (3 × FLAG)-tagged proteins can be affinity purified through binding to an anti-FLAG antibody and competitive elution with excess free 3 × FLAG peptide. To expand the availability of the 3 × FLAG purification system, we produced a recombinant His-tagged 3 × FLAG peptide in Brevibacillus choshinensis. The screening of connecting linkers between His-tag and the 3 × FLAG peptide, culture containers, and culture media showed that the His-tagged 3 × FLAG peptide with an LA linker was most expressed in 2SY medium using a baffled shake flask. The peptide was affinity-purified to give a yield of about 25 mg/L of culture. The peptide was effective for eluting 3 × FLAG-tagged α-amylase from anti-FLAG magnetic beads. Finally, the peptide remaining in the amylase fraction was removed by His-tag affinity purification. These results show that the recombinant His-tagged 3 × FLAG peptide can function as an easy-to-remove affinity peptide in the 3 × FLAG purification system.
MeSH term(s)	Recombinant Proteins/metabolism ; Brevibacillus/genetics ; Brevibacillus/metabolism ; Chromatography, Affinity/methods ; Peptides/genetics ; Peptides/metabolism ; Recombinant Fusion Proteins/genetics ; Recombinant Fusion Proteins/metabolism
Chemical Substances	Recombinant Proteins ; FLAG peptide (98849-88-8) ; Peptides ; Recombinant Fusion Proteins
Language	English
Publishing date	2023-06-14
Publishing country	England
Document type	Journal Article
ZDB-ID	1106450-x
ISSN	1347-6947 ; 0916-8451
ISSN (online)	1347-6947
ISSN	0916-8451
DOI	10.1093/bbb/zbad079
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Article ; Online: The growing need to establish a global wastewater surveillance consortium for future pandemic preparedness.

Murakami, Michio / Kitajima, Masaaki / Endo, Noriko / Ahmed, Warish / Gawlik, Bernd Manfred

Journal of travel medicine

2023 Volume 30, Issue 7

MeSH term(s)	Humans ; Pandemics/prevention & control ; Wastewater ; Wastewater-Based Epidemiological Monitoring
Chemical Substances	Wastewater
Language	English
Publishing date	2023-03-01
Publishing country	England
Document type	Letter
ZDB-ID	1212504-0
ISSN	1708-8305 ; 1195-1982
ISSN (online)	1708-8305
ISSN	1195-1982
DOI	10.1093/jtm/taad035
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Article ; Online: Wind: a neglected factor in the spread of infectious diseases - Authors' reply.

Endo, Noriko / Eltahir, Elfatih A B

The Lancet. Planetary health

2018 Volume 2, Issue 11, Page(s) e476

MeSH term(s)	Humans ; Malaria ; Wind
Language	English
Publishing date	2018-11-05
Publishing country	Netherlands
Document type	Letter ; Comment
ISSN	2542-5196
ISSN (online)	2542-5196
DOI	10.1016/S2542-5196(18)30229-8
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Article ; Online: Prevention of malaria transmission around reservoirs: an observational and modelling study on the effect of wind direction and village location.

Endo, Noriko / Eltahir, Elfatih A B

The Lancet. Planetary health

2018 Volume 2, Issue 9, Page(s) e406–e413

Abstract: Background: Many large dams are constructed annually in Africa, with associated reservoirs that might exacerbate the risk of malaria in new villages built nearby. We aimed to investigate the heterogeneous risk of malaria around reservoirs related to the ...

Abstract	Background: Many large dams are constructed annually in Africa, with associated reservoirs that might exacerbate the risk of malaria in new villages built nearby. We aimed to investigate the heterogeneous risk of malaria around reservoirs related to the impact of wind direction on malaria transmission. Methods: Between June 15, 2012, and April 22, 2015, we obtained field data on climate and hydrological conditions, and monitored Anopheles mosquito populations around the Koka reservoir in Ethiopia using in-situ weather stations, mosquito light traps, and larval dipping. The field data were used to calibrate a field-tested, spatially explicit mechanistic malaria transmission model, the Hydrology, Entomology, and Malaria Transmission Simulator (HYDREMATS), to investigate the effect of relative wind direction on malaria transmission and associated mechanisms. We combined our simulation results and observational data to assess the association between village location around a reservoir and risk of malaria. Findings: HYDREMATS simulations showed that wind blowing from a village towards a reservoir increases the size of malaria vector populations, whereas wind blowing from a reservoir towards a village decreases the size of malaria vector populations, which was consistent with our field data. Larval mortality is low in locations with village-to-reservoir wind due to weak surface waves, and this wind direction creates conditions that enable mosquitoes to identify village locations more easily than in conditions caused by reservoir-to-village wind, which increases the size of malaria vector populations, and thus malaria transmission. Among the wind conditions investigated (0·5-5 m/s), the effect of CO Interpretation: The effect of wind on malaria transmission around reservoirs can be substantial. The transmission of malaria can be minimised if the location of villages situated near a reservoir is carefully considered. For areas in which the environmental conditions surrounding a resevoir are equal, villages should be located downwind of reservoirs to reduce the incidence of malaria, although further research will be required in locations where wind direction changes in different seasons. Funding: US National Science Foundation, and Cooperative Agreement between the Masdar Institute of Science and Technology, Abu Dhabi, UAE, and the Massachusetts Institute of Technology, Cambridge, MA, USA.
MeSH term(s)	Animal Distribution ; Animals ; Anopheles/physiology ; Disease Transmission, Infectious/prevention & control ; Ethiopia ; Geography ; Lakes ; Malaria/transmission ; Population Dynamics ; Risk ; Water Supply ; Wind
Language	English
Publishing date	2018-08-30
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
ISSN	2542-5196
ISSN (online)	2542-5196
DOI	10.1016/S2542-5196(18)30175-X
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Article ; Online: Modelling and observing the role of wind in Anopheles population dynamics around a reservoir.

Endo, Noriko / Eltahir, Elfatih A B

Malaria journal

2018 Volume 17, Issue 1, Page(s) 48

Abstract: Background: Wind conditions, as well as other environmental conditions, are likely to influence malaria transmission through the behaviours of Anopheles mosquitoes, especially around water-resource reservoirs. Wind-induced waves in a reservoir impose ... ...

Abstract	Background: Wind conditions, as well as other environmental conditions, are likely to influence malaria transmission through the behaviours of Anopheles mosquitoes, especially around water-resource reservoirs. Wind-induced waves in a reservoir impose mortality on aquatic-stage mosquitoes. Mosquitoes' host-seeking activity is also influenced by wind through dispersion of [Formula: see text]. However, no malaria transmission model exists to date that simulated those impacts of wind mechanistically. Methods: A modelling framework for simulating the three important effects of wind on the behaviours of mosquito is developed: attraction of adult mosquitoes through dispersion of [Formula: see text] ([Formula: see text] attraction), advection of adult mosquitoes (advection), and aquatic-stage mortality due to wind-induced surface waves (waves). The framework was incorporated in a mechanistic malaria transmission simulator, HYDREMATS. The performance of the extended simulator was compared with the observed population dynamics of the Anopheles mosquitoes at a village adjacent to the Koka Reservoir in Ethiopia. Results: The observed population dynamics of the Anopheles mosquitoes were reproduced with some reasonable accuracy in HYDREMATS that includes the representation of the wind effects. HYDREMATS without the wind model failed to do so. Offshore wind explained the increase in Anopheles population that cannot be expected from other environmental conditions alone. Conclusions: Around large water bodies such as reservoirs, the role of wind in the dynamics of Anopheles population, hence in malaria transmission, can be significant. Modelling the impacts of wind on the behaviours of Anopheles mosquitoes aids in reproducing the seasonality of malaria transmission and in estimation of the risk of malaria around reservoirs.
MeSH term(s)	Animals ; Anopheles/physiology ; Computer Simulation ; Malaria/transmission ; Models, Biological ; Mosquito Vectors/physiology ; Population Dynamics ; Water Resources ; Wind
Language	English
Publishing date	2018-01-25
Publishing country	England
Document type	Journal Article
ISSN	1475-2875
ISSN (online)	1475-2875
DOI	10.1186/s12936-018-2197-5
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Article ; Online: Environmental Determinants of Malaria Transmission Around the Koka Reservoir in Ethiopia.

Endo, Noriko / Eltahir, Elfatih A B

GeoHealth

2018 Volume 2, Issue 3, Page(s) 104–115

Abstract: New dam construction is known to exacerbate malaria transmission in Africa as the vectors of malaria- ...

Abstract	New dam construction is known to exacerbate malaria transmission in Africa as the vectors of malaria-
Language	English
Publishing date	2018-03-30
Publishing country	United States
Document type	Journal Article
ISSN	2471-1403
ISSN (online)	2471-1403
DOI	10.1002/2017GH000108
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Article ; Online: Environmental determinants of malaria transmission in African villages.

Endo, Noriko / Eltahir, Elfatih A B

Malaria journal

2016 Volume 15, Issue 1, Page(s) 578

Abstract: Background: Malaria transmission is complex, involving a range of hydroclimatological, biological, and environmental processes. The high degree of non-linearity in these processes makes it difficult to predict and intervene against malaria. This study ... ...

Abstract	Background: Malaria transmission is complex, involving a range of hydroclimatological, biological, and environmental processes. The high degree of non-linearity in these processes makes it difficult to predict and intervene against malaria. This study seeks both to define a minimal number of malaria transmission determinants, and to provide a theoretical basis for sustainable environmental manipulation to prevent malaria transmission. Methods: Using a field-tested mechanistic malaria model, HYDREMATS, a theoretical study was conducted under hypothetical conditions. Simulations were conducted with a range of hydroclimatological and environmental conditions: temperature (t), length of wet season (T Results: The predictive theory shows a universality in malaria endemic conditions when plotted using two newly-introduced dimension-less parameters. The projected malaria transmission potential compared well with the observation data, and the apparent differences were discussed. The results illustrate the importance of spatial aspects in malaria transmission. Conclusions: The predictive theory is useful in measuring malaria transmission potential, and it can also provide guidelines on how to plan the layout of human habitats in order to prevent endemic malaria. Malaria-resistant villages can be designed by locating houses further than critical distances away from breeding pools or by removing pools within a critical distance from houses; the critical distance is described in the context of local climatology and hydrology.
MeSH term(s)	Africa, Western ; Environment ; Humans ; Malaria/transmission ; Models, Theoretical ; Rural Population
Language	English
Publishing date	2016-12-01
Publishing country	England
Document type	Journal Article
ISSN	1475-2875
ISSN (online)	1475-2875
DOI	10.1186/s12936-016-1633-7
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Article: Analysis of 39 drugs and metabolites, including 8 glucuronide conjugates, in an upstream wastewater network via HPLC-MS/MS

Foppe, Katelyn S / Kujawinski, Elizabeth B / Duvallet, Claire / Endo, Noriko / Erickson, Timothy B / Chai, Peter R / Matus, Mariana

Journal of chromatography. 2021 June 30, v. 1176

2021

Abstract: Pharmaceutical compounds ingested by humans are metabolized and excreted in urine and feces. These metabolites can be quantified in wastewater networks using wastewater-based epidemiology (WBE) methods. Standard WBE methods focus on samples collected at ... ...

Abstract	Pharmaceutical compounds ingested by humans are metabolized and excreted in urine and feces. These metabolites can be quantified in wastewater networks using wastewater-based epidemiology (WBE) methods. Standard WBE methods focus on samples collected at wastewater treatment plants (WWTPs). However, these methods do not capture more labile classes of metabolites such as glucuronide conjugates, products of the major phase II metabolic pathway for drug elimination. By shifting sample collection more upstream, these unambiguous markers of human exposure are captured before hydrolysis in the wastewater network. In this paper, we present an HPLC-MS/MS method that quantifies 8 glucuronide conjugates in addition to 31 parent and other metabolites of prescription and synthetic opioids, overdose treatment drugs, illicit drugs, and population markers. Calibration curves for all analytes are linear (r² > 0.98), except THC (r² = 0.97), and in the targeted range (0.1–1,000 ng mL⁻¹) with lower limits of quantification (S/N = 9) ranging from 0.098 to 48.75 ng mL⁻¹. This method is fast with an injection-to-injection time of 7.5 min. We demonstrate the application of the method to five wastewater samples collected from a manhole in a city in eastern Massachusetts. Collected wastewater samples were filtered and extracted via solid-phase extraction (SPE). The SPE cartridges are eluted and concentrated in the laboratory via nitrogen-drying. The method and case study presented here demonstrate the potential and application of expanding WBE to monitoring labile metabolites in upstream wastewater networks.
Keywords	biochemical pathways ; case studies ; chemical species ; drug excretion ; epidemiology ; feces ; humans ; hydrolysis ; metabolites ; narcotics ; overdose ; solid phase extraction ; urine ; wastewater ; wastewater treatment ; Massachusetts
Language	English
Dates of publication	2021-0630
Publishing place	Elsevier B.V.
Document type	Article
ISSN	1570-0232
DOI	10.1016/j.jchromb.2021.122747
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Article ; Online: Analysis of 39 drugs and metabolites, including 8 glucuronide conjugates, in an upstream wastewater network via HPLC-MS/MS.

Foppe, Katelyn S / Kujawinski, Elizabeth B / Duvallet, Claire / Endo, Noriko / Erickson, Timothy B / Chai, Peter R / Matus, Mariana

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences

2021 Volume 1176, Page(s) 122747

Abstract	Pharmaceutical compounds ingested by humans are metabolized and excreted in urine and feces. These metabolites can be quantified in wastewater networks using wastewater-based epidemiology (WBE) methods. Standard WBE methods focus on samples collected at wastewater treatment plants (WWTPs). However, these methods do not capture more labile classes of metabolites such as glucuronide conjugates, products of the major phase II metabolic pathway for drug elimination. By shifting sample collection more upstream, these unambiguous markers of human exposure are captured before hydrolysis in the wastewater network. In this paper, we present an HPLC-MS/MS method that quantifies 8 glucuronide conjugates in addition to 31 parent and other metabolites of prescription and synthetic opioids, overdose treatment drugs, illicit drugs, and population markers. Calibration curves for all analytes are linear (r
MeSH term(s)	Chromatography, High Pressure Liquid/methods ; Glucuronides/analysis ; Limit of Detection ; Linear Models ; Pharmaceutical Preparations/analysis ; Reproducibility of Results ; Tandem Mass Spectrometry/methods ; Wastewater/chemistry ; Water Pollutants, Chemical/analysis
Chemical Substances	Glucuronides ; Pharmaceutical Preparations ; Waste Water ; Water Pollutants, Chemical
Language	English
Publishing date	2021-05-13
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1180823-8
ISSN	1873-376X ; 0378-4347 ; 1570-0232 ; 1387-2273
ISSN (online)	1873-376X
ISSN	0378-4347 ; 1570-0232 ; 1387-2273
DOI	10.1016/j.jchromb.2021.122747
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Article ; Online: "Waste Not, Want Not" - Leveraging Sewer Systems and Wastewater-Based Epidemiology for Drug Use Trends and Pharmaceutical Monitoring.

Erickson, Timothy B / Endo, Noriko / Duvallet, Claire / Ghaeli, Newsha / Hess, Kaitlyn / Alm, Eric J / Matus, Mariana / Chai, Peter R

Journal of medical toxicology : official journal of the American College of Medical Toxicology

2021 Volume 17, Issue 4, Page(s) 397–410

Abstract: During the current global COVID-19 pandemic and opioid epidemic, wastewater-based epidemiology (WBE) has emerged as a powerful tool for monitoring public health trends by analysis of biomarkers including drugs, chemicals, and pathogens. Wastewater ... ...

Abstract	During the current global COVID-19 pandemic and opioid epidemic, wastewater-based epidemiology (WBE) has emerged as a powerful tool for monitoring public health trends by analysis of biomarkers including drugs, chemicals, and pathogens. Wastewater surveillance downstream at wastewater treatment plants provides large-scale population and regional-scale aggregation while upstream surveillance monitors locations at the neighborhood level with more precise geographic analysis. WBE can provide insights into dynamic drug consumption trends as well as environmental and toxicological contaminants. Applications of WBE include monitoring policy changes with cannabinoid legalization, tracking emerging illicit drugs, and early warning systems for potent fentanyl analogues along with the resurging wave of stimulants (e.g., methamphetamine, cocaine). Beyond drug consumption, WBE can also be used to monitor pharmaceuticals and their metabolites, including antidepressants and antipsychotics. In this manuscript, we describe the basic tenets and techniques of WBE, review its current application among drugs of abuse, and propose methods to scale and develop both monitoring and early warning systems with respect to measurement of illicit drugs and pharmaceuticals. We propose new frontiers in toxicological research with wastewater surveillance including assessment of medication assisted treatment of opioid use disorder (e.g., buprenorphine, methadone) in the context of other social burdens like COVID-19 disease.
MeSH term(s)	Biomarkers/analysis ; COVID-19/epidemiology ; Humans ; Illicit Drugs/analysis ; Pandemics ; Pharmaceutical Preparations/analysis ; SARS-CoV-2 ; Substance Abuse Detection/methods ; Substance-Related Disorders/epidemiology ; Wastewater/chemistry ; Wastewater-Based Epidemiological Monitoring ; Water Pollutants, Chemical/analysis
Chemical Substances	Biomarkers ; Illicit Drugs ; Pharmaceutical Preparations ; Waste Water ; Water Pollutants, Chemical
Language	English
Publishing date	2021-08-16
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	2435016-3
ISSN	1937-6995 ; 1556-9039
ISSN (online)	1937-6995
ISSN	1556-9039
DOI	10.1007/s13181-021-00853-4
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