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Research Article

Silk-based blood stabilization for diagnostics

Jonathan A. Kluge, Adrian B. Li, Brooke T. Kahn, Dominique S. Michaud, Fiorenzo G. Omenetto, and David L. Kaplan
PNAS May 24, 2016 113 (21) 5892-5897; first published May 9, 2016; https://doi.org/10.1073/pnas.1602493113
Jonathan A. Kluge
aDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155;
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Adrian B. Li
bDepartment of Chemical and Biological Engineering, Tufts University, Medford, MA 02155;
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Brooke T. Kahn
aDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155;
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Dominique S. Michaud
cDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111
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Fiorenzo G. Omenetto
aDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155;
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David L. Kaplan
aDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155;
bDepartment of Chemical and Biological Engineering, Tufts University, Medford, MA 02155;
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  • For correspondence: david.kaplan@tufts.edu
  1. Edited by Robert Langer, Massachusetts Institute of Technology, Cambridge, MA, and approved April 5, 2016 (received for review February 13, 2016)

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  • Fig. 1.
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    Fig. 1.

    Preparation schematic of air-dried silk-stabilizing matrices.

  • Fig. 2.
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    Fig. 2.

    Effect of silk molecular mass and film thickness on solubility and recovery. (A) Schematic of silk and blood solution casting into thick and thin films. (B) Resolubility of silk films after simulated aging conditions. Films were formed from solutions of varying molecular mass by control of fibroin extraction time. Dotted line represents maximum concentration of silk based on mass of coupon. (C) Recovery of 100 µL of plasma from silk matrices of varying silk extraction time and film thickness; % recovery is the silk film assay value normalized to the control plasma value on day 0; 100% indicated by the dotted line. Solid lines indicate significance at the P < 0.05 level.

  • Fig. 3.
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    Fig. 3.

    Stability profiles of plasma in silk films (plasma coupons), blood in silk films (blood coupon), and liquid plasma from three donors after storage at 37 and 22 °C for 30 d. Here, % recovery is the plasma or silk film assay value obtained from 100 µL of encapsulated plasma normalized to control plasma value on day 0. The three donor percentage recovery values were averaged and the error bars represent SD. Dashed line represents liquid plasma levels stored at −20 °C for 30 d.

  • Fig. 4.
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    Fig. 4.

    Total IgE recovery and stability in silk compared with DBS. (A) Total IgE was assayed across three donor serum samples (A–C) via a commercial ELISA kit and compared with air-dried serum and silk solution, an air-dried whole blood and silk solution, and dried blood spots on Whatman 903 paper. Data represent of n = 4 replicates for each donor. (B–D) Liquid serum aliquots “neat serum,” dried blood spots “DBS”, and 50 µL of blood encapsulated in silk films “blood film” from the same three donors were subject to 22 or 45 °C storage over 84 d. Data are a pooled average ± SD of n = 4 replicates across three donors. Data were normalized to 22 °C recovery, the control condition.

  • Fig. 5.
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    Fig. 5.

    Eliminating assay interferences and uncovering silk stabilization mechanisms. (A) Examples of recovery and stability of biomarkers not requiring any changes to silk solution formulation. (B) Recovery of osteopontin from films dissolved in water with and without lithium bromide (Left) and stability of the films, control plasma, and DPS groups over time (Right). Recovery of cancer antigen 15–3 (CA15-3) from films generated from 4 wt/vol% silk solution and reconstituted in DiH2O compared with silk films generated from 1 wt/vol% silk solution and reconstituted with lithium bromide (Left) and stability of the films, control plasma, and DPS groups over time (Right). For all graphs the donor recovery values were averaged and the error bars represent SD. Lines indicate significance between groups at the P < 0.05 level. Asterisks indicate groups that were significantly different from their respective day 0 readings at the P < 0.05 level. (C) Recovery and stability of biomarkers stored in different matrices for two weeks at −80 °C (liquid plasma only), 22 and 45 °C. Groups are color coded to indicate agreement with day 0 liquid plasma: green indicates no significant differences, yellow indicates levels significantly lower (but within 20% of day 0 levels), and red indicates both significant differences and levels >20% lower than day 0. In most cases stability issues led to decreased analyte levels; however, where applicable, the white arrows indicate levels significantly higher than day 0.

  • Fig. 6.
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    Fig. 6.

    Recovery of biomarkers is not dependent on patient health status. The x axis represents plasma levels as measured after storage at −80 °C, whereas the y axis represents plasma levels as measured after encapsulation in air-dried silk films. Blue data points represent readings from a healthy patient although red data points represent readings from a patient diagnosed with pancreatic cancer. Blue and red lines represent best fit lines (equations Inset) from linear regression. See Table S5 for raw data.

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    Fig. 7.

    Silk powder for use as a stabilizing agent in the field. (A) Schematic showing the regeneration of silk powder with serum to incorporate stabilizing agent. The formulation is cast and the resulting air-dried matrix placed in an Eppendorf tube. (B, Left) Plasma NGAL can be recovered after addition of 16 mg of silk powder to 50 μL of plasma diluted 8× in water (“+silk”), after air-drying the powder/plasma solution (“film”), and also after lyophilizing said the powder/plasma solution (“foam”). Data are average ± SD of n = 4 replicate samples from a single donor. (B, Right) Luminex data demonstrating recovery of seven biomarkers from a silk powder-generated film. Black dots indicate average ± SD of n = 4 replicate samples from a single donor. Gray line indicates the best-fit line (equation Inset) from linear regression.

  • Fig. S1.
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    Fig. S1.

    Recovery and stability of biomarkers from alternative biospecimens when lyophilized in silk matrices. Dashed lines indicate average frozen control ± SD. The donor recovery values were averaged among n = 4 replicates and the error bars represent SD. (A–C) Recombinant interleukin-1β recovery and stability when spiked into serum, urine, and saliva. (D–F) Endogenous NGAL recovery and stability in serum, urine, and saliva.

Tables

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    Table S1.

    Luminex cardiovascular disease kit, protein characteristics, and detection limits

    Luminex catalog no.ProteinMolecular mass, kDaLuminex Std, pg/mL*Disease Marker
    HCVD3-67CK-02SAP2580–250,000Diabetes
    HCVD3-67CK-02CRP118–14480–250,000Inflammation, CVD
    HCVD2-67BK-1HAPHaptoglobin4380–250,000Hemolytic Anemia
    HCVD1-67AK-02tPAI-14516–50,000Breast Cancer Asthma
    HCVD1-67AK-02sVCAM-1100–11080–250,000CVD
    HCVD3-67CK-02Fibrinogen34080–250,000Inflammation, CVD
    • ↵* Based on a 1:2,000 dilution used to prepare each sample. Actual clinical values vary based on markers. Std, standard.

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    Table S2.

    Luminex circulating cancer biomarker kit, protein characteristics, and detection limits

    Luminex catalog no.ProteinMolecular mass, kDaLuminex Std, pg/mL*
    HC1AFP-MAGAFP66.4137.2–100,000
    HTPSA-MAGTotal PSA26.113.7–10,000
    HCA153-MAGCA15-3119.60.2–170
    HCA199-MAGCA19-9382.7–2,000
    HMIF-MAGMIF12.327.4–20,000
    HTRAIL-MAGTRAIL32.52.7–2,000
    HCCLPTN-MAGLeptin16137.2–100,000
    HIL6-MAGIL-620.89.4–6,850
    HSFASLG-MAGsFasL31.413.7–10,000
    HCEA-MAGCEA71.378.2–57,000
    HCA125-MAGCA125200–1,0000.8–600
    HIL8-MAGIL-88.91.4–1,000
    HHGF-MAGHGF79.627.4–20,000
    HSFAS-MAGsFas3534.3–25,000
    HTNFA-MAGTNFα17.41.4–1,000
    HCCPRLCTN-MAGProlactin13.5137.2–100,000
    HSCF-MAGSCF27.96.9–5,000
    HCYFRA-MAGCYFRA21-144.1207.8–151,500
    H0PN-MAGOPN33.7548.7–400,000
    HFGF2-MAGFGF216.413.7–10,000
    BHCG-MAGβ-HCG190.1–67
    HHE4-MAGHE410685.9–500,000
    HTGFA-MAGTGFα14.82.7–2,000
    HVEGF-MAGVEGF23.913.7–10,000
    • ↵* Based on a 1:8 dilution used to prepare each sample. Actual clinical values vary based on markers. Std, standard.

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    Table S4.

    Silk formulation for optimized plasma biomarker recovery as measured using circulating cancer biomarker Luminex assay

    FormulationControlDried formats
    Serum matrix4% Silk in DiH2O4% Silk in DiH2O4% Silk in DiH2O4% Silk in serum matrix4% Silk in serum matrix4% Silk in serum matrix1% Silk in DiH2O1% Silk in DiH2O1% Silk in DiH2O4% Silk powder in DiH2O
    Reconstitution bufferNADiH2O1M LiBr0.1M LiBrDiH2O1M LiBr0.1M LiBrDiH2O1M LiBr0.1M LiBrDiH2O
    DiH2ODiH2ODiH2ODiH2ODiH2ODiH2O
    Total PSA, pg/mL217.5 ± 8.4207.7 ± 17168.6 ± 4208.6 ± 0.8138 ± 11.9124.9 ± 3.6162.3 ± 17.2211.7 ± 8166.4 ± 5.9209.1 ± 7.4220.4 ± 23.3
    CA 15-3, U/mL1.9 ± 0.12.9 ± 02.6 ± 0.13.1 ± 0.26.6 ± 0.47.4 ± 0.58.9 ± 0.42.2 ± 02.1 ± 0.12.3 ± 0.13.1 ± 0.5
    TRAIL, pg/mL26.3 ± 225.8 ± 0.723.6 ± 0.726.2 ± 2.332.3 ± 3.134.9 ± 2.245.6 ± 1.727.9 ± 1.432.3 ± 3.728.1 ± 1.526.6 ± 2.7
    Leptin, pg/mL938.3 ± 45874.6 ± 0448.9 ± 20.9879.6 ± 57.6754.7 ± 36.9421.6 ± 17.7879.6 ± 18.1932.4 ± 68.3464.9 ± 33.3846.6 ± 42.7947.6 ± 61.3
    CEA, pg/mL163.5 ± 11.3185.5 ± 14.1207.1 ± 15.4177.8 ± 4.4333.8 ± 37.8436.5 ± 15.4432.7 ± 21.5165.3 ± 8.2212.2 ± 8.8169.8 ± 0181.6 ± 11.3
    sFas, pg/mL362.2 ± 18.6293.1 ± 4.1150.9 ± 2.2282.6 ± 16.8342.1 ± 7.2185.2 ± 10.4420.5 ± 17.6250.5 ± 18.4127.1 ± 8.5269.9 ± 8.8271.2 ± 18.7
    Prolactin, pg/mL2,111.1 ± 111.42,445.6 ± 25.5887.2 ± 30.32,076.3 ± 72.71,844 ± 101.7780.4 ± 22.71,723.6 ± 71.42,666.4 ± 124.5926.2 ± 352,335.2 ± 87.32,442.1 ± 188
    SCF, pg/mL8.1 ± 0.59.1 ± 010.9 ± 0.810.3 ± 0.710.9 ± 1.813.9 ± 0.919.1 ± 3.18.2 ± 0.59.8 ± 0.69.4 ± 0.48.9 ± 0.7
    OPN, pg/mL5,635.5 ± 164.89,053.2 ± 0790.5 ± 67.75,715.2 ± 208.17,143.3 ± 0931.4 ± 375,707.8 ± 182.48,963.5 ± 399.4916.3 ± 7.35,025.3 ± 131.28,175 ± 1,399.1
    • Bold indicates values <10% variation from serum matrix control values. NA, not applicable.

    • View popup
    Table S5.

    Analyte levels in plasma of a healthy patient and of a patient diagnosed with pancreatic cancer when analyzed after storage at −80 °C (control) and after encapsulation in an air-dried silk matrix (silk)

    HealthyDiseased
    BiomarkerControlSilk filmControlSilk film
    Total PSA, pg/mL279.7 ± 4.2363.5 ± 11.1——
    CA15-3, U/mL13.9 ± 0.222.6 ± 0.610.2 ± 0.617.2 ± 1.2
    CA19-9, U/mL——27.3 ± 534.8 ± 0.9
    MIF, pg/mL——1,209.6 ± 114.7833.4 ± 68.2
    TRAIL, pg/mL79.7 ± 4.674.7 ± 7.9183.7 ± 15.5142.9 ± 4.1
    Leptin, pg/mL4,823.8 ± 203.14,035 ± 139.68,023 ± 174.96,699.7 ± 97.7
    CEA, pg/mL818.5 ± 24.8968.9 ± 66.21,099.9 ± 70.11,059.1 ± 21.9
    sFas, pg/mL1,870.9 ± 70.51,308.6 ± 54.22,574.5 ± 731,910.8 ± 140.1
    Prolactin, pg/mL9,893.6 ± 172.311,185.9 ± 254.98,395.9 ± 316.58,994.6 ± 97.6
    CYFRA, U/mL19,728 ± 1,038.824,804.4 ± 456.917,649.6 ± 1,681.721,434.8 ± 560.5
    OPN, pg/mL——154.2 ± 26.6143.5 ± 14.2
    HE4, pg/mL11,549.7 ± 2,140.44,315.6 ± 1,438.222,536.4 ± 2,935.38,358.5 ± 963.7
    VEGF, pg/mL317.9 ± 61.3231.5 ± 52.5368.2 ± 78.4266.4 ± 21.3
    • Bold indicates values <10% variation from serum matrix control values. Dash indicates undetectable level of biomarker.

    • View popup
    Table S3.

    Physical parameters to determine blood/plasma loading (three donor averages)

    Physical parameterDonor ADonor BDonor CDonor Avg
    Blood wt. fraction, g/mL0.23160.18270.22980.2146
    Plasma wt. fraction, g/mL0.10400.09940.10750.1036
    Wt. fraction plasma solids in blood, g/mL0.05720.05470.05910.0570
    Plasma solids per wt. of blood film, g/g0.03410.03350.03530.0343
    Plasma solids per wt. of plasma film, g/g0.06710.06440.06930.0669
    • Avg, average.

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Silk-based blood stabilization for diagnostics
Jonathan A. Kluge, Adrian B. Li, Brooke T. Kahn, Dominique S. Michaud, Fiorenzo G. Omenetto, David L. Kaplan
Proceedings of the National Academy of Sciences May 2016, 113 (21) 5892-5897; DOI: 10.1073/pnas.1602493113

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Silk-based blood stabilization for diagnostics
Jonathan A. Kluge, Adrian B. Li, Brooke T. Kahn, Dominique S. Michaud, Fiorenzo G. Omenetto, David L. Kaplan
Proceedings of the National Academy of Sciences May 2016, 113 (21) 5892-5897; DOI: 10.1073/pnas.1602493113
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