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  1. Article ; Online: Human biomonitoring without in-person interaction: public health engagements during the COVID-19 pandemic and future implications.

    Mattson, Alyssa J / Yu, Jiali / Miller, Elizabeth M / Schueller, Michael / Pentella, Michael / Dai, Susie Y

    BMC medical research methodology

    2024  Volume 24, Issue 1, Page(s) 53

    Abstract: Background: Public health initiatives, including human biomonitoring, have been impacted by unique challenges since the onset of the COVID-19 pandemic, compounding a decades-long trend of declining public participation. To combat low public ... ...

    Abstract Background: Public health initiatives, including human biomonitoring, have been impacted by unique challenges since the onset of the COVID-19 pandemic, compounding a decades-long trend of declining public participation. To combat low public participation rates, public health professionals often employ extensive engagement approaches including in-person interactions related to enrollment and sampling, success of which is an essential component of a statistically defensible study. The onset of the COVID-19 pandemic challenged public health programs to diversify engagement and sampling approaches, limiting direct interactions for the health and safety of the population. This study explores biomonitoring recruitment strategies through non-contact mechanisms and evaluate the application feasibility for population-based studies.
    Methods: The Iowa Biomonitoring Program at the State Hygienic Laboratory developed a human biomonitoring study that utilized a multifaceted, distance-based approach. Traditional techniques, such as mailed recruitment invitations and phone-based discussions, were coupled with internet-based surveys and self-collected, shipped urine and water samples. Participation rates were evaluated by employing different mailing methods, and the demographics of enrolled participants were examined.
    Results: This non-human contact approach achieved a nearly 14% participation rate among a rural population, well above our target rates. Our improved mailing strategy for targeting initially unresponsive participants yielded a significantly increase in the participation rates. The respondents were predominantly individuals with educational attainment of at least high school level. Among all the eligible participants, 83% submitted self-collected samples, a rate comparable to the National Health and Nutrition Examination Survey which involved in-person interviews.
    Conclusions: The practice of engaging a rural population during the COVID-19 pandemic by transitioning from face-to-face interactions to a combination of mailing and internet-based approaches resulted in higher-than-expected participant recruitment and sample collection rates. Given the declining trend in the response rates for population-based survey studies, our results suggest conducting human biomonitoring without direct human interaction is feasible, which provides further opportunity to improve response rates and the relevance and reach of public health initiatives.
    MeSH term(s) Humans ; Biological Monitoring ; Public Health ; Nutrition Surveys ; Pandemics ; COVID-19/epidemiology
    Language English
    Publishing date 2024-02-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041362-2
    ISSN 1471-2288 ; 1471-2288
    ISSN (online) 1471-2288
    ISSN 1471-2288
    DOI 10.1186/s12874-024-02165-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Artificial intelligence-based HDX (AI-HDX) prediction reveals fundamental characteristics to protein dynamics: Mechanisms on SARS-CoV-2 immune escape.

    Yu, Jiali / Uzuner, Ugur / Long, Bin / Wang, Zachary / Yuan, Joshua S / Dai, Susie Y

    iScience

    2023  Volume 26, Issue 4, Page(s) 106282

    Abstract: Three-dimensional structure and dynamics are essential for protein function. Advancements in hydrogen-deuterium exchange (HDX) techniques enable probing protein dynamic information in physiologically relevant conditions. HDX-coupled mass spectrometry ( ... ...

    Abstract Three-dimensional structure and dynamics are essential for protein function. Advancements in hydrogen-deuterium exchange (HDX) techniques enable probing protein dynamic information in physiologically relevant conditions. HDX-coupled mass spectrometry (HDX-MS) has been broadly applied in pharmaceutical industries. However, it is challenging to obtain dynamics information at the single amino acid resolution and time consuming to perform the experiments and process the data. Here, we demonstrate the first deep learning model, artificial intelligence-based HDX (AI-HDX), that predicts intrinsic protein dynamics based on the protein sequence. It uncovers the protein structural dynamics by combining deep learning, experimental HDX, sequence alignment, and protein structure prediction. AI-HDX can be broadly applied to drug discovery, protein engineering, and biomedical studies. As a demonstration, we elucidated receptor-binding domain structural dynamics as a potential mechanism of anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody efficacy and immune escape. AI-HDX fundamentally differs from the current AI tools for protein analysis and may transform protein design for various applications.
    Language English
    Publishing date 2023-02-27
    Publishing country United States
    Document type Journal Article
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2023.106282
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Genomic Diversity and Phenotypic Variation in Fungal Decomposers Involved in Bioremediation of Persistent Organic Pollutants.

    Yu, Jiali / Lai, Jingru / Neal, Brian M / White, Bert J / Banik, Mark T / Dai, Susie Y

    Journal of fungi (Basel, Switzerland)

    2023  Volume 9, Issue 4

    Abstract: Fungi work as decomposers to break down organic carbon, deposit recalcitrant carbon, and transform other elements such as nitrogen. The decomposition of biomass is a key function of wood-decaying basidiomycetes and ascomycetes, which have the potential ... ...

    Abstract Fungi work as decomposers to break down organic carbon, deposit recalcitrant carbon, and transform other elements such as nitrogen. The decomposition of biomass is a key function of wood-decaying basidiomycetes and ascomycetes, which have the potential for the bioremediation of hazardous chemicals present in the environment. Due to their adaptation to different environments, fungal strains have a diverse set of phenotypic traits. This study evaluated 320 basidiomycetes isolates across 74 species for their rate and efficiency of degrading organic dye. We found that dye-decolorization capacity varies among and within species. Among the top rapid dye-decolorizing fungi isolates, we further performed genome-wide gene family analysis and investigated the genomic mechanism for their most capable dye-degradation capacity. Class II peroxidase and DyP-type peroxidase were enriched in the fast-decomposer genomes. Gene families including lignin decomposition genes, reduction-oxidation genes, hydrophobin, and secreted peptidases were expanded in the fast-decomposer species. This work provides new insights into persistent organic pollutant removal by fungal isolates at both phenotypic and genotypic levels.
    Language English
    Publishing date 2023-03-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2784229-0
    ISSN 2309-608X ; 2309-608X
    ISSN (online) 2309-608X
    ISSN 2309-608X
    DOI 10.3390/jof9040418
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Design of biomass-based renewable materials for environmental remediation

    Zhang, Wan / Zhang, Peng / Wang, Huaimin / Li, Jinghao / Dai, Susie Y.

    Trends in biotechnology. 2022 Sept. 20,

    2022  

    Abstract: Various materials have been used to remove environmental contaminants for decades and have been an effective strategy for environmental cleanups. The current non-renewable materials used for this purpose could impose secondary hazards and challenges in ... ...

    Abstract Various materials have been used to remove environmental contaminants for decades and have been an effective strategy for environmental cleanups. The current non-renewable materials used for this purpose could impose secondary hazards and challenges in further downstream treatments. Biomass-based materials present viable, renewable, and sustainable solutions for environmental remediation. Recent biotechnology advancements have developed biomaterials with new capacities such as highly efficient biodegradation and treatment train integration. This review systemically discusses how biotechnology has empowered biomass-derived and bio-inspired materials for environmental remediation sustainably and cost-effectively.
    Keywords biocompatible materials ; biodegradation ; biotechnology ; pollution ; remediation
    Language English
    Dates of publication 2022-0920
    Publishing place Elsevier Ltd
    Document type Article
    Note Pre-press version
    ZDB-ID 47474-5
    ISSN 1879-3096 ; 0167-7799
    ISSN (online) 1879-3096
    ISSN 0167-7799
    DOI 10.1016/j.tibtech.2022.09.011
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: Altered Carbon Partitioning Enhances CO

    Li, Man / Long, Bin / Dai, Susie Y / Golden, James W / Wang, Xin / Yuan, Joshua S

    Biodesign research

    2022  Volume 2022, Page(s) 9897425

    Abstract: Photosynthetic terpene production represents one of the most carbon and energy-efficient routes for converting ... ...

    Abstract Photosynthetic terpene production represents one of the most carbon and energy-efficient routes for converting CO
    Language English
    Publishing date 2022-02-07
    Publishing country United States
    Document type Journal Article
    ISSN 2693-1257
    ISSN (online) 2693-1257
    DOI 10.34133/2022/9897425
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Design of biomass-based renewable materials for environmental remediation.

    Zhang, Wan / Zhang, Peng / Wang, Huaimin / Li, Jinghao / Dai, Susie Y

    Trends in biotechnology

    2022  Volume 40, Issue 12, Page(s) 1519–1534

    Abstract: Various materials have been used to remove environmental contaminants for decades and have been an effective strategy for environmental cleanups. The current nonrenewable materials used for this purpose could impose secondary hazards and challenges in ... ...

    Abstract Various materials have been used to remove environmental contaminants for decades and have been an effective strategy for environmental cleanups. The current nonrenewable materials used for this purpose could impose secondary hazards and challenges in further downstream treatments. Biomass-based materials present viable, renewable, and sustainable solutions for environmental remediation. Recent biotechnology advances have developed biomaterials with new capacities, such as highly efficient biodegradation and treatment train integration. This review systemically discusses how biotechnology has empowered biomass-derived and bioinspired materials for environmental remediation sustainably and cost-effectively.
    MeSH term(s) Biomass ; Environmental Restoration and Remediation ; Biodegradation, Environmental ; Biotechnology
    Language English
    Publishing date 2022-10-27
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 47474-5
    ISSN 1879-3096 ; 0167-7799
    ISSN (online) 1879-3096
    ISSN 0167-7799
    DOI 10.1016/j.tibtech.2022.09.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Microbial lignin valorization through depolymerization to aromatics conversion.

    Li, Fei / Zhao, Yiquan / Xue, Le / Ma, Fuying / Dai, Susie Y / Xie, Shangxian

    Trends in biotechnology

    2022  Volume 40, Issue 12, Page(s) 1469–1487

    Abstract: Lignin is the most abundant source of renewable aromatic biopolymers and its valorization presents significant value for biorefinery sustainability, which promotes the utilization of renewable resources. However, it is challenging to fully convert the ... ...

    Abstract Lignin is the most abundant source of renewable aromatic biopolymers and its valorization presents significant value for biorefinery sustainability, which promotes the utilization of renewable resources. However, it is challenging to fully convert the structurally complex, heterogeneous, and recalcitrant lignin into high-value products. The in-depth research on the lignin degradation mechanism, microbial metabolic pathways, and rational design of new systems using synthetic biology have significantly accelerated the development of lignin valorization. This review summarizes the key enzymes involved in lignin depolymerization, the mechanisms of microbial lignin conversion, and the lignin valorization application with integrated systems and synthetic biology. Current challenges and future strategies to further study lignin biodegradation and the trends of lignin valorization are also discussed.
    MeSH term(s) Lignin/metabolism ; Metabolic Networks and Pathways
    Chemical Substances Lignin (9005-53-2)
    Language English
    Publishing date 2022-10-26
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 47474-5
    ISSN 1879-3096 ; 0167-7799
    ISSN (online) 1879-3096
    ISSN 0167-7799
    DOI 10.1016/j.tibtech.2022.09.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity.

    Long, Bin / Fischer, Bart / Zeng, Yining / Amerigian, Zoe / Li, Qiang / Bryant, Henry / Li, Man / Dai, Susie Y / Yuan, Joshua S

    Nature communications

    2022  Volume 13, Issue 1, Page(s) 541

    Abstract: Algal biofuel is regarded as one of the ultimate solutions for renewable energy, but its commercialization is hindered by growth limitations caused by mutual shading and high harvest costs. We overcome these challenges by advancing machine learning to ... ...

    Abstract Algal biofuel is regarded as one of the ultimate solutions for renewable energy, but its commercialization is hindered by growth limitations caused by mutual shading and high harvest costs. We overcome these challenges by advancing machine learning to inform the design of a semi-continuous algal cultivation (SAC) to sustain optimal cell growth and minimize mutual shading. An aggregation-based sedimentation (ABS) strategy is then designed to achieve low-cost biomass harvesting and economical SAC. The ABS is achieved by engineering a fast-growing strain, Synechococcus elongatus UTEX 2973, to produce limonene, which increases cyanobacterial cell surface hydrophobicity and enables efficient cell aggregation and sedimentation. SAC unleashes cyanobacterial growth potential with 0.1 g/L/hour biomass productivity and 0.2 mg/L/hour limonene productivity over a sustained period in photobioreactors. Scaling-up the SAC with an outdoor pond system achieves a biomass yield of 43.3 g/m
    MeSH term(s) Biofuels ; Biomass ; Biotechnology ; Industrial Microbiology ; Machine Learning ; Metabolic Engineering ; Microalgae/genetics ; Microalgae/growth & development ; Microalgae/metabolism ; Photobioreactors ; Ponds ; Renewable Energy ; Synechococcus/growth & development ; Synthetic Biology
    Chemical Substances Biofuels
    Language English
    Publishing date 2022-01-27
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-021-27665-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Association Between Bisphenol A Exposure and Risk of All-Cause and Cause-Specific Mortality in US Adults.

    Bao, Wei / Liu, Buyun / Rong, Shuang / Dai, Susie Y / Trasande, Leonardo / Lehmler, Hans-Joachim

    JAMA network open

    2020  Volume 3, Issue 8, Page(s) e2011620

    Abstract: Importance: Bisphenol A (BPA) is a major public health concern because of its high-volume industrial production, ubiquitous exposure to humans, and potential toxic effects on multiple organs and systems in humans. However, prospective studies regarding ... ...

    Abstract Importance: Bisphenol A (BPA) is a major public health concern because of its high-volume industrial production, ubiquitous exposure to humans, and potential toxic effects on multiple organs and systems in humans. However, prospective studies regarding the association of BPA exposure with long-term health outcomes are sparse.
    Objective: To examine the association of BPA exposure with all-cause mortality and cause-specific mortality among adults in the United States.
    Design, setting, and participants: This nationally representative cohort study included 3883 adults aged 20 years or older who participated in the US National Health and Nutrition Examination Survey 2003-2008 and provided urine samples for BPA level measurements. Participants were linked to mortality data from survey date through December 31, 2015. Data analyses were conducted in July 2019.
    Exposures: Urinary BPA levels were quantified using online solid-phase extraction coupled to high-performance liquid chromatography-isotope dilution tandem mass spectrometry.
    Main outcomes and measures: Mortality from all causes, cardiovascular disease, and cancer.
    Results: This cohort study included 3883 adults aged 20 years or older (weighted mean [SE] age, 43.6 [0.3] years; 2032 women [weighted, 51.4%]). During 36 514 person-years of follow-up (median, 9.6 years; maximum, 13.1 years), 344 deaths occurred, including 71 deaths from cardiovascular disease and 75 deaths from cancer. Participants with higher urinary BPA levels were at higher risk for death. After adjustment for age, sex, race/ethnicity, socioeconomic status, dietary and lifestyle factors, body mass index, and urinary creatinine levels, the hazard ratio comparing the highest vs lowest tertile of urinary BPA levels was 1.49 (95% CI, 1.01-2.19) for all-cause mortality, 1.46 (95% CI, 0.67-3.15) for cardiovascular disease mortality, and 0.98 (95% CI, 0.40-2.39) for cancer mortality.
    Conclusions and relevance: In this nationally representative cohort of US adults, higher BPA exposure was significantly associated with an increased risk of all-cause mortality. Further studies are needed to replicate these findings in other populations and determine the underlying mechanisms.
    MeSH term(s) Adult ; Aged ; Benzhydryl Compounds/urine ; Cardiovascular Diseases/mortality ; Cohort Studies ; Environmental Exposure/statistics & numerical data ; Female ; Humans ; Male ; Middle Aged ; Mortality ; Neoplasms/mortality ; Phenols/urine ; Young Adult
    Chemical Substances Benzhydryl Compounds ; Phenols ; bisphenol A (MLT3645I99)
    Language English
    Publishing date 2020-08-03
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2020.11620
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Mask or no mask for COVID-19: A public health and market study.

    Li, Tom / Liu, Yan / Li, Man / Qian, Xiaoning / Dai, Susie Y

    PloS one

    2020  Volume 15, Issue 8, Page(s) e0237691

    Abstract: Efficient strategies to contain the coronavirus disease 2019 (COVID-19) pandemic are peremptory to relieve the negatively impacted public health and global economy, with the full scope yet to unfold. In the absence of highly effective drugs, vaccines, ... ...

    Abstract Efficient strategies to contain the coronavirus disease 2019 (COVID-19) pandemic are peremptory to relieve the negatively impacted public health and global economy, with the full scope yet to unfold. In the absence of highly effective drugs, vaccines, and abundant medical resources, many measures are used to manage the infection rate and avoid exhausting limited hospital resources. Wearing masks is among the non-pharmaceutical intervention (NPI) measures that could be effectively implemented at a minimum cost and without dramatically disrupting social practices. The mask-wearing guidelines vary significantly across countries. Regardless of the debates in the medical community and the global mask production shortage, more countries and regions are moving forward with recommendations or mandates to wear masks in public. Our study combines mathematical modeling and existing scientific evidence to evaluate the potential impact of the utilization of normal medical masks in public to combat the COVID-19 pandemic. We consider three key factors that contribute to the effectiveness of wearing a quality mask in reducing the transmission risk, including the mask aerosol reduction rate, mask population coverage, and mask availability. We first simulate the impact of these three factors on the virus reproduction number and infection attack rate in a general population. Using the intervened viral transmission route by wearing a mask, we further model the impact of mask-wearing on the epidemic curve with increasing mask awareness and availability. Our study indicates that wearing a face mask can be effectively combined with social distancing to flatten the epidemic curve. Wearing a mask presents a rational way to implement as an NPI to combat COVID-19. We recognize our study provides a projection based only on currently available data and estimates potential probabilities. As such, our model warrants further validation studies.
    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Coronavirus Infections/virology ; Disease Transmission, Infectious/prevention & control ; Humans ; Infection Control/methods ; Masks/supply & distribution ; Masks/virology ; Models, Theoretical ; Pandemics/prevention & control ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; Pneumonia, Viral/virology ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-08-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0237691
    Database MEDical Literature Analysis and Retrieval System OnLINE

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