Literature DB >> 32511089

Effect of Environmental Conditions on SARS-CoV-2 Stability in Human Nasal Mucus and Sputum.

M Jeremiah Matson, Claude Kwe Yinda, Stephanie N Seifert, Trenton Bushmaker, Robert J Fischer, Neeltje van Doremalen, James O Lloyd-Smith, Vincent J Munster.   

Abstract

We found that environmental conditions affect the stability of severe acute respiratory syndrome coronavirus 2 in nasal mucus and sputum. The virus is more stable at low-temperature and low-humidity conditions, whereas warmer temperature and higher humidity shortened half-life. Although infectious virus was undetectable after 48 hours, viral RNA remained detectable for 7 days.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; coronavirus disease; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; zoonoses

Mesh:

Substances:

Year:  2020        PMID: 32511089      PMCID: PMC7454058          DOI: 10.3201/eid2609.202267

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is shed predominantly in upper and lower airway secretions (), and transmission likely occurs predominantly through respiratory droplets, and potentially through direct contact and fomites. We describe SARS-CoV-2 stability in human nasal mucus and sputum under different environmental conditions. We acquired pooled human nasal mucus and sputum commercially (Lee BioSolutions Inc., https://www.leebio.com) and mixed it with SARS-CoV-2 (SARS-CoV-2/human/USA/USA-WA1/2020) (). We aliquoted 50 μL of each fluid containing 1 × 105 50% tissue culture infective dose/mL SARS-CoV-2 into sealed tubes (liquid setting) or onto polypropylene disks (surface setting), as previously described (). We assessed stability under 3 environmental conditions: 4°C/40% relative humidity (RH), 21°C/40% RH, and 27°C/85% RH (RH applies only to exposed surface samples). We collected samples at specified timepoints and analyzed them for infectious virus by using endpoint titration. We extracted aliquots of collected surface samples by using the QIAGEN QIAamp Viral RNA Mini Kit (QIAGEN, https://www.qiagen.com) and analyzed them for the presence of viral RNA by using a quantitative reverse transcription PCR assay targeting the E gene (). We fit linear regression models to log10-transformed titer data, calculated SARS-CoV-2 half-life (t1/2) for each condition, and tested differences by using analysis of covariance. We report all experimental measurements as means of 3 replicates with SE. We considered differences with p values <0.05 statistically significant. We observed no significant differences in SARS-CoV-2 t1/2 between environmental conditions in liquid nasal mucus. In surface nasal mucus, SARS-CoV-2 t1/2 was significantly shorter at 27°C/85% RH compared with 21°C/40% RH (p = 0.0023) and 4°C/40% RH (p = 0.0007). At 27°C/85% RH, SARS-CoV-2 t1/2 also was significantly shorter in surface compared with liquid nasal mucus (p = 0.0101). Other comparisons of nasal mucus did not demonstrate significant differences in SARS-CoV-2 t1/2 (Table; Figure, panel A, B).
Table

Half-life (t1/2) for SARS-CoV-2 in human nasal mucus and sputum under different environmental conditions*

Sample and exposure typeEnvironmentHalf-life, h (95% CI)
Nasal mucus
Liquid4°C4.9 (3.5–8.7)
21°C3.7 (3.1–4.7)
27°C3.1 (2.3–4.4)
Surface
4°C/40% RH3.3 (2.6–4.4)
21°C/40% RH3.1 (2.5–4.1)
27°C/85% RH
1.5 (1.2–1.9)
Sputum
Liquid4°C7.0 (5.8–8.9)
21°C1.9 (1.3–3.2)
27°C1.3 (1.1–1.7)
Surface4°C/40% RH5.8 (4.8–7.3)
21°C/40% RH3.1 (2.3–4.6)
27°C/85% RH1.5 (1.1–2.4)

*RH, relative humidity; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Figure

Stability of severe acute respiratory syndrome coronavirus 2 over time in human nasal mucus and sputum under different environmental conditions: liquid nasal mucus (A), surface nasal mucus (B), liquid sputum (C), and surface sputum (D). For panels B and D, the squares correspond to viral titer on the left y-axis, and the circles correspond to viral RNA (Ct value) on the right y-axis. We collected samples in 1 mL media for each condition at 0, 1, 4, 8, and 24 hours, then daily for 7 days and performed end-point titrations in quadruplicate on Vero E6 cells and made calculations using the Spearman-Kärber method. We log10-transformed and fit titers with linear regression models, including 95% CIs (shaded area around lines of best fit), by using GraphPad Prism 8 (https://www.graphpad.com). We extracted aliquots of collected surface samples by using the QIAamp Viral RNA Mini Kit (QIAGEN, https://www.qiagen.com) and analyzed them for the presence of viral RNA by using quantitative reverse transcription PCR targeting the E gene. For both viral titers and Ct values, plots show means of 3 replicates with SE. The limit of detection for each experimental condition was 100.5 TCID50/mL for viral titer and 40 for Ct value and is indicated by the dashed line. Relative humidity is not applicable to liquid samples (panels A and C), which were in sealed tubes. Ct, cycle threshold; RH, relative humidity; TCID50/mL, 50% tissue culture infective dose/mL.

*RH, relative humidity; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. Stability of severe acute respiratory syndrome coronavirus 2 over time in human nasal mucus and sputum under different environmental conditions: liquid nasal mucus (A), surface nasal mucus (B), liquid sputum (C), and surface sputum (D). For panels B and D, the squares correspond to viral titer on the left y-axis, and the circles correspond to viral RNA (Ct value) on the right y-axis. We collected samples in 1 mL media for each condition at 0, 1, 4, 8, and 24 hours, then daily for 7 days and performed end-point titrations in quadruplicate on Vero E6 cells and made calculations using the Spearman-Kärber method. We log10-transformed and fit titers with linear regression models, including 95% CIs (shaded area around lines of best fit), by using GraphPad Prism 8 (https://www.graphpad.com). We extracted aliquots of collected surface samples by using the QIAamp Viral RNA Mini Kit (QIAGEN, https://www.qiagen.com) and analyzed them for the presence of viral RNA by using quantitative reverse transcription PCR targeting the E gene. For both viral titers and Ct values, plots show means of 3 replicates with SE. The limit of detection for each experimental condition was 100.5 TCID50/mL for viral titer and 40 for Ct value and is indicated by the dashed line. Relative humidity is not applicable to liquid samples (panels A and C), which were in sealed tubes. Ct, cycle threshold; RH, relative humidity; TCID50/mL, 50% tissue culture infective dose/mL. SARS-CoV-2 t1/2 was significantly longer in liquid sputum at 4°C than at 21°C (p = 0.0006) and 27°C (p<0.0001). In surface sputum, SARS-CoV-2 t1/2 also was significantly longer at 4°C/40% RH than at 21°C/40% RH (p = 0.0042) and 27°C/85% RH (p = 0.0002). In addition, SARS-CoV-2 t1/2 was significantly longer at 21°C/40% RH than 27°C/85% RH (p = 0.0027) in surface sputum. We observed no significant differences in SARS-CoV-2 t1/2 between liquid and surface sputum (Table; Figure, panel C, D). SARS-CoV-2 RNA remained detectable for >7 days in all surface samples, with a gradual increase in cycle threshold value (decrease in detected RNA) occurring only in nasal mucus at 27°C/85% RH (Figure, panel B, D). We previously reported on the surface stability of SARS-CoV-2 in culture media at 21°C/40% RH (). However, SARS-CoV-2 stability is affected by its surrounding matrix and environmental conditions. The t1/2 we report here for SARS-CoV-2 in surface nasal mucus and sputum at 21°C/40% (Table) is considerably shorter than what we found in culture media under similar conditions (t1/2 6.8 [95% CI 5.6–8.2] hours) (). In addition, we set out to determine SARS-CoV-2 stability in nasal mucus and sputum under environmental conditions that approximate temperate winter (4°C/40% RH), climate-controlled (21°C/40% RH), and temperate summer or tropical (27°C/85% RH) settings. SARS-CoV-2 was generally more stable at cooler temperatures and lower RH, and less stable at warmer temperatures and higher RH. Nevertheless, with our experimental protocol and initial titer, we predicted that SARS-CoV-2 would remain infectious in nasal mucus and sputum on surfaces for >10–12 hours even in warm, humid conditions. However, the amount of infectious SARS-CoV-2 shed and virus stability in relationship to infectious dose for humans are currently unknown, hampering conclusions regarding infectious duration and transmission. The general similarity in SARS-CoV-2 stability between liquid and surface samples suggests that in general temperature factored more heavily than humidity. Community transmission of SARS-CoV-2 is widespread () and might be explained by contact with asymptomatic or presymptomatic () infected persons. Because of the surface stability of SARS-CoV-2, fomite transmission might also play a role. In addition, reduced surface stability of SARS-CoV-2 in human nasal mucus and sputum in warmer and more humid conditions might result in decreased virus transmission, and climatic influence on SARS-CoV-2 transmission rates might eventually drive seasonal outbreak dynamics in a postpandemic period (), similar to other respiratory viruses (e.g., influenza A virus or human coronavirus OC43). SARS-CoV-2 RNA has been detected on surfaces throughout clinical settings (,) and aboard a cruise ship for extended periods (), but any correlation to infectious virus was previously unknown. In our study, infectious virus persisted in both nasal mucus and sputum on surfaces for ≈24 hours under climate-controlled conditions. However, viral RNA was consistently detectable for >7 days under various conditions in both nasal mucus and sputum on surfaces. These findings suggest that inferences regarding the presence of infectious virus from quantitative reverse transcription PCR data alone should be made with caution.
  10 in total

1.  Temporal dynamics in viral shedding and transmissibility of COVID-19.

Authors:  Xi He; Eric H Y Lau; Peng Wu; Xilong Deng; Jian Wang; Xinxin Hao; Yiu Chung Lau; Jessica Y Wong; Yujuan Guan; Xinghua Tan; Xiaoneng Mo; Yanqing Chen; Baolin Liao; Weilie Chen; Fengyu Hu; Qing Zhang; Mingqiu Zhong; Yanrong Wu; Lingzhai Zhao; Fuchun Zhang; Benjamin J Cowling; Fang Li; Gabriel M Leung
Journal:  Nat Med       Date:  2020-04-15       Impact factor: 53.440

2.  Air, Surface Environmental, and Personal Protective Equipment Contamination by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) From a Symptomatic Patient.

Authors:  Sean Wei Xiang Ong; Yian Kim Tan; Po Ying Chia; Tau Hong Lee; Oon Tek Ng; Michelle Su Yen Wong; Kalisvar Marimuthu
Journal:  JAMA       Date:  2020-04-28       Impact factor: 56.272

3.  Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020.

Authors:  Zhen-Dong Guo; Zhong-Yi Wang; Shou-Feng Zhang; Xiao Li; Lin Li; Chao Li; Yan Cui; Rui-Bin Fu; Yun-Zhu Dong; Xiang-Yang Chi; Meng-Yao Zhang; Kun Liu; Cheng Cao; Bin Liu; Ke Zhang; Yu-Wei Gao; Bing Lu; Wei Chen
Journal:  Emerg Infect Dis       Date:  2020-06-21       Impact factor: 6.883

4.  Severe Acute Respiratory Syndrome Coronavirus 2 from Patient with Coronavirus Disease, United States.

Authors:  Jennifer Harcourt; Azaibi Tamin; Xiaoyan Lu; Shifaq Kamili; Senthil K Sakthivel; Janna Murray; Krista Queen; Ying Tao; Clinton R Paden; Jing Zhang; Yan Li; Anna Uehara; Haibin Wang; Cynthia Goldsmith; Hannah A Bullock; Lijuan Wang; Brett Whitaker; Brian Lynch; Rashi Gautam; Craig Schindewolf; Kumari G Lokugamage; Dionna Scharton; Jessica A Plante; Divya Mirchandani; Steven G Widen; Krishna Narayanan; Shinji Makino; Thomas G Ksiazek; Kenneth S Plante; Scott C Weaver; Stephen Lindstrom; Suxiang Tong; Vineet D Menachery; Natalie J Thornburg
Journal:  Emerg Infect Dis       Date:  2020-06-17       Impact factor: 6.883

5.  Community Transmission of Severe Acute Respiratory Syndrome Coronavirus 2, Shenzhen, China, 2020.

Authors:  Jiaye Liu; Xuejiao Liao; Shen Qian; Jing Yuan; Fuxiang Wang; Yingxia Liu; Zhaoqin Wang; Fu-Sheng Wang; Lei Liu; Zheng Zhang
Journal:  Emerg Infect Dis       Date:  2020-06-17       Impact factor: 6.883

6.  Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR.

Authors:  Victor M Corman; Olfert Landt; Marco Kaiser; Richard Molenkamp; Adam Meijer; Daniel Kw Chu; Tobias Bleicker; Sebastian Brünink; Julia Schneider; Marie Luisa Schmidt; Daphne Gjc Mulders; Bart L Haagmans; Bas van der Veer; Sharon van den Brink; Lisa Wijsman; Gabriel Goderski; Jean-Louis Romette; Joanna Ellis; Maria Zambon; Malik Peiris; Herman Goossens; Chantal Reusken; Marion Pg Koopmans; Christian Drosten
Journal:  Euro Surveill       Date:  2020-01

7.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

8.  Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period.

Authors:  Stephen M Kissler; Christine Tedijanto; Yonatan H Grad; Marc Lipsitch; Edward Goldstein
Journal:  Science       Date:  2020-04-14       Impact factor: 47.728

9.  Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1.

Authors:  Neeltje van Doremalen; Trenton Bushmaker; Dylan H Morris; Myndi G Holbrook; Amandine Gamble; Brandi N Williamson; Azaibi Tamin; Jennifer L Harcourt; Natalie J Thornburg; Susan I Gerber; James O Lloyd-Smith; Emmie de Wit; Vincent J Munster
Journal:  N Engl J Med       Date:  2020-03-17       Impact factor: 91.245

10.  Public Health Responses to COVID-19 Outbreaks on Cruise Ships - Worldwide, February-March 2020.

Authors:  Leah F Moriarty; Mateusz M Plucinski; Barbara J Marston; Ekaterina V Kurbatova; Barbara Knust; Erin L Murray; Nicki Pesik; Dale Rose; David Fitter; Miwako Kobayashi; Mitsuru Toda; Paul T Cantey; Tara Scheuer; Eric S Halsey; Nicole J Cohen; Lauren Stockman; Debra A Wadford; Alexandra M Medley; Gary Green; Joanna J Regan; Kara Tardivel; Stefanie White; Clive Brown; Christina Morales; Cynthia Yen; Beth Wittry; Amy Freeland; Sara Naramore; Ryan T Novak; David Daigle; Michelle Weinberg; Anna Acosta; Carolyn Herzig; Bryan K Kapella; Kathleen R Jacobson; Katherine Lamba; Atsuyoshi Ishizumi; John Sarisky; Erik Svendsen; Tricia Blocher; Christine Wu; Julia Charles; Riley Wagner; Andrea Stewart; Paul S Mead; Elizabeth Kurylo; Stefanie Campbell; Rachel Murray; Paul Weidle; Martin Cetron; Cindy R Friedman
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-03-27       Impact factor: 17.586

  10 in total
  49 in total

1.  SARS Wars: the Fomites Strike Back.

Authors:  Emanuel Goldman
Journal:  Appl Environ Microbiol       Date:  2021-06-11       Impact factor: 4.792

2.  COVID-19 and Speech-Language Pathology Clinical Practice of Voice and Upper Airway Disorders.

Authors:  Emerald J Doll; Maia N Braden; Susan L Thibeault
Journal:  Am J Speech Lang Pathol       Date:  2020-12-17       Impact factor: 2.408

3.  Seasonal Stability of SARS-CoV-2 in Biological Fluids.

Authors:  Taeyong Kwon; Natasha N Gaudreault; Juergen A Richt
Journal:  Pathogens       Date:  2021-04-30

4.  Possible effects of air temperature on COVID-19 disease severity and transmission rates.

Authors:  Dominique Kang; Clifford Ellgen; Erik Kulstad
Journal:  J Med Virol       Date:  2021-05-03       Impact factor: 20.693

Review 5.  Contact transmission of SARS-CoV-2 on fomite surfaces: surface survival and risk reduction.

Authors:  Abhimanyu Tharayil; R Rajakumari; Miran Mozetic; Gregor Primc; Sabu Thomas
Journal:  Interface Focus       Date:  2021-12-10       Impact factor: 3.906

Review 6.  Porous surfaces: stability and recovery of coronaviruses.

Authors:  Lucy Owen; Maitreyi Shivkumar; Richard B M Cross; Katie Laird
Journal:  Interface Focus       Date:  2021-12-10       Impact factor: 3.906

7.  Persistence of SARS-Co-V-2 on N95 filtering facepiece respirators: implications for reuse.

Authors:  Edward M Fisher; Michael R Kuhlman; Young W Choi; Traci L Jordan; Michelle Sunderman
Journal:  J Occup Environ Hyg       Date:  2021-10-27       Impact factor: 2.155

8.  Distribution of SARS-CoV-2 RNA signal in a home with COVID-19 positive occupants.

Authors:  Juan P Maestre; David Jarma; Jia-Rong F Yu; Jeffrey A Siegel; Sharon D Horner; Kerry A Kinney
Journal:  Sci Total Environ       Date:  2021-03-09       Impact factor: 7.963

Review 9.  The viability of SARS-CoV-2 on solid surfaces.

Authors:  Mohsen Hosseini; Saeed Behzadinasab; Zachary Benmamoun; William A Ducker
Journal:  Curr Opin Colloid Interface Sci       Date:  2021-06-16       Impact factor: 6.448

10.  Role of meteorological factors in the transmission of SARS-CoV-2 in the United States.

Authors:  Yiqun Ma; Sen Pei; Jeffrey Shaman; Robert Dubrow; Kai Chen
Journal:  Nat Commun       Date:  2021-06-14       Impact factor: 14.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.