| Literature DB >> 34797719 |
Ze Xiong1,2,3, Sippanat Achavananthadith1, Sophie Lian4, Leigh Edward Madden5,6, Zi Xin Ong5,6,7, Wisely Chua8, Viveka Kalidasan1, Zhipeng Li1, Zhu Liu1, Priti Singh9, Haitao Yang10, Sascha P Heussler11, S M P Kalaiselvi12, Mark B H Breese12, Haicheng Yao13, Yuji Gao2, Kavitha Sanmugam14, Benjamin C K Tee1,2,3,13,15, Po-Yen Chen10, Weiqiang Loke9, Chwee Teck Lim2,4,15,16, Grace Shu Hui Chiang14, Boon Yeow Tan14, Hao Li7,17, David Laurence Becker5,6, John S Ho1,2,3,15.
Abstract
The confluence of wireless technology and biosensors offers the possibility to detect and manage medical conditions outside of clinical settings. Wound infections represent a major clinical challenge in which timely detection is critical for effective interventions, but this is currently hindered by the lack of a monitoring technology that can interface with wounds, detect pathogenic bacteria, and wirelessly transmit data. Here, we report a flexible, wireless, and battery-free sensor that provides smartphone-based detection of wound infection using a bacteria-responsive DNA hydrogel. The engineered DNA hydrogels respond selectively to deoxyribonucleases associated with pathogenic bacteria through tunable dielectric changes, which can be wirelessly detected using near-field communication. In a mouse acute wound model, we demonstrate that the wireless sensor can detect physiologically relevant amounts of Staphylococcus aureus even before visible manifestation of infection. These results demonstrate strategies for continuous infection monitoring, which may facilitate improved management of surgical or chronic wounds.Entities:
Year: 2021 PMID: 34797719 PMCID: PMC8604401 DOI: 10.1126/sciadv.abj1617
Source DB: PubMed Journal: Sci Adv ISSN: 2375-2548 Impact factor: 14.136
Fig. 1.WINDOW concept.
(A) DNase is a virulence factor in wound infections. Pathogenic bacteria secrete DNase to evade neutrophil extracellular traps (NETs), which are integral to the host’s immune response. (B) Schematic of the infection sensing mechanism. DNAgel is degraded upon exposure to DNase, resulting in a change in the capacitance of the sensor. (C) Schematic of the wireless wound infection sensor. WINDOW integrates the bioresponsive DNAgel, a half-wave–rectified LC biosensing module, and an NFC module to enable smartphone readout of the wound status. Inset image: Sensor-integrated DNAgel stained with rhodamine B. (D) System block diagram showing signal transduction from the DNAgel-based biosensor to the NFC module and to a smartphone for wireless readout and display.
Fig. 2.DNAgel synthesis and processability.
(A) Schematic of the synthesis process. DNAgel precursor is prepared by dissolving dehydrated DNA strands and then chemically crosslinked by poly(ethylene glycol) diglycidyl ether (PEGDE), forming a 3D network at room temperature. (B) Scanning electron microscope image of freeze-dried DNAgel. (C to F) Strategies for processing DNAgel. DNAgel can be printed on planar (C) and curved surfaces (D) or molded into 3D structures at millimeter (E) to micrometer (F) scales. (G to I) Images of fluorescence-stained DNAgel formed into the letter S (G), printed on a contact lens (H), and macromolded into a Christmas bell (I). (J) 3D confocal fluorescent image of DNAgel pyramids formed by micromolding. The smallest micropyramid is ~10 μm.
Fig. 3.DNAgel bacterial response.
(A to C) Confocal fluorescence images of DNAgel coincubated with live neonatal human dermal fibroblasts (NHDFs; ~2 × 104 cells) (A), S. aureus (~7 × 107 CFU) (B), and DNase (1 U/μl) (C). DNAgel is stained using NucBlue (blue). NHDFs are stained using CellMask (purple), and S. aureus are stained using the BacLight Kit (green). (D) 3D topographic reconstruction of image in (C). (E) Relative volume change corresponding to the 3D images in (A) to (C). (F) Fluorescence intensity of DNAgel coincubated for 24 hours with culture supernatant of wound swab cultures from diabetic foot ulcer (DFU) patients. Error bars show means ± SD (n = 3 replicates). DNAgel is stained using SYBR Gold. (G) Relative weight change of DNAgel under different relative humidity at 37°C over 48 hours.
Fig. 4.DNAgel tunability and biocompatibility.
(A) Illustration of DNAgel with dopant embedded in its 3D network. (B) Images of DNAgels synthesized without dopants, and with poly(3,4-ethylenedioxythiophene)-poly(styrene sulfonate) (PEDOT:PSS), Ti3C2T MXene, graphene oxide (GO), single-walled carbon nanotube (SWCNT), and silver nanowire (AgNW). (C) Fluorescent images of NHDFs after 48 hours of coincubation with the DNAgels. Scale bars, 500 μm. (D) Viability of NHDFs after 48 hours of coincubation with the DNAgels. Error bars show means ± SD (n = 3 samples). (E) Dielectric permittivity of DNAgels. Inset shows dielectric probe for permittivity measurement. (F) Radar plot of the viability and permittivity for the DNAgels. Photo credit: Z. Xiong, National University of Singapore.
Fig. 5.WINDOW design and characterization.
(A) Schematic of the capacitive sensing structure comprising an interdigitated electrode pattern with DNAgel in the region of the fringing electric field. The parameters are the gap between electrodes (d), the DNAgel thickness (t1), and the SU-8 thickness (t2). (B) Electric displacement field D for interdigitated electrodes with varying gaps. a.u., arbitrary units. (C) Contour plots of the capacitance of electrodes as a function of d, t1, and t2 normalized to the capacitance with d = 50 μm, t1 = 1 mm, and t2 = 2 μm. (D) Capacitance as a function of DNAgel thickness for electrodes with different areas. The areas are 15 mm2 (L), 8 mm2 (M), and 3.5 mm2 (S) with d = 250 μm and t2 = 2 μm. (E) Colored scanning electron microscope image of the cross-section of electrodes. PI, polyimide. (F) Diagram of the circuit of biosensing module. Changes in the capacitive electrodes detune the LC circuit, resulting in a change in the output voltage (Vout). (G) Smith chart of the LC circuit as the DNAgel coverage decreases from 100% to 0%. The frequency range is from 0.5 to 50 MHz. (H) Reflection coefficient S11 of the LC circuit as the DNAgel coverage decreases from 100% to 0%. (I) Relative change in output voltage of the biosensing modules as a function of DNAgel coverage.
Fig. 6.Infection detection with WINDOW.
(A) A WINDOW mounted on the index finger. The yellow region shows the readout signal corresponding to the bending angles indicated by the dotted white lines. Inset: Image of the NFC module. (B) Signal readout by a smartphone as the area of the capacitor covered by DNAgel is varied. (C) Signal change when WINDOW is exposed to S. aureus culture supernatant at room temperature over 48 hours. Error bars show means ± SD (n = 5 data points). (D) WINDOW mounted on a skin wound in vivo under transparent wound dressing. Left flank wound is used as control. (E) Images of wounds applied with TSB or live S. aureus suspension (105 and 106 CFU) immediately after wounding (0 hour) and 24 hours after wounding. Images are representative from each group (n = 2 mice per group). (F) Freely moving mouse carrying WINDOW 24 hours after wounding. Dashed line shows the motion trajectory over 30 s. (G) S. aureus load at the wound site established by wound culture 24 hours after wounding. (H) Signal change recorded by smartphone for each group. Error bars show means ± SD (n = 5 wireless measurements). (I) Smartphone interface displaying signal acquisition and detection of wound infection. Photo credit: Z. Xiong, National University of Singapore.