Skip to main content

Lysophosphatidic acid (LPA)-antibody (504B3) engagement detected by interferometry identifies off-target binding

Abstract

Background

Lysophosphatidic acid (LPA) is a bioactive lysophospholipid that acts through its six cognate G protein-coupled receptors. As a family, lysophospholipids have already produced medicines (e.g., sphingosine 1-phosphate) as is being pursued for LPA through the use of specific antibodies that reduce ligand availability.

Methods

The binding properties of a commercially available, reportedly specific, monoclonal LPA antibody named 504B3 that is related to the clinical candidate Lpathomab/LT3015 were reexamined using a free solution assay (FSA) measured in a compensated interferometric reader (CIR).

Results

Measurement of 504B3 binding properties with an FSA-CIR approach revealed similar binding affinities for 504B3 against LPA as well as the non-LPA lipids, phosphatidic acid (PA) and lysophosphatidylcholine (LPC).

Conclusions

Antibody binding specificity and sensitivity, particularly involving lipid ligands, can be assessed in solution and without labels using FSA-CIR. These findings could affect interpretations of both current and past basic and clinical studies employing 504B3 and related anti-LPA antibodies.

Introduction

Lysophosphatidic acid (LPA) is a potent, bioactive lipid that acts through six cognate G protein coupled receptors (GPCRs) named LPA1–6 [1, 2]. LPA signaling is involved in many physiological processes such as cell proliferation, chemotaxis, and smooth muscle contraction, as well as cell survival [3]. Elevated LPA levels are associated with multiple disease pathologies including cancer, hydrocephalus, and fibrosis [3,4,5,6], implicating the therapeutic potential of modulating LPA pathways to reduce cognate receptor activity. This strategy has already generated four medicines through the related lysophospholipid, sphingosine 1-phosphate (S1P), whose receptor modulators are being used in the treatment of multiple sclerosis (fingolimod, siponimod, ozanimod and ponesimod) [7].

A complementary strategy that reduces ligand availability is being pursued through the use of specific antibodies to lower LPA levels [8,9,10,11,12]. In 2011, Lpath Inc. (merged with Apollo Endosurgery, Inc. in 2016) developed humanized monoclonal anti-LPA antibodies, including a phase 1a molecule, Lpathomab/LT3015 [10, 12]. The binding affinity and selectivity of Lpathomab/LT3015 was previously determined by enzyme-linked immunosorbent assay (ELISA) using unnatural, biotinylated 18:0 LPA [13], which showed highly specific and strong binding affinity to 18:1 LPA, without reported binding to other lipid species, including S1P, 18:0-lysophosphatidylcholine (LPC), phosphatidic acid (PA), phosphatidylcholine (PC), and platelet-activating factor (PAF).

A related, derivative anti-LPA antibody, 504B3, whose complementarity determining regions show 79% identity to Lpathomab/LT3015 [11], is commercially available (Echelon Biosciences, Product Number: Z-P200). ELISA studies have reported similar specificity and selectivity of 504B3 compared to Lpathomab/LT3015 [8]. Additional in vitro studies using Kinetic Exclusion Assays (KinExA) demonstrated a high affinity (× 4 times higher than LPA receptors) of 504B3 for all relevant LPA species [14], particularly 16:0 and 18:2 LPA that are abundant in the CSF of injured mice and humans, suggesting uses in the central nervous system following neurotrauma, and in inflammatory sites (tumor cell growth, rheumatoid arthritis). The reported binding data on specificity of 504B3 stimulated its use for preclinical studies of spinal cord [8] and traumatic brain injuries [9, 14].

ELISA is a commonly used assay for determining binding affinity but can possess a number of technical drawbacks that may impact the accuracy of measuring ligand specificity. These include multiple washing steps that may under or overestimate affinities, immobilization that can increase non-specific interactions [15, 16], and particularly, the use of biotinylated lipids that limit conformational flexibility of the lipids and introduce non-native epitopes [13].

An alternative methodology is interferometry, particularly interferometric assays that use unmodified, native binding partners in a free solution to measure the light refractive index change that occurs as a result of binding-induced conformational and/or hydration changes produced by real-time binding events in a sample compared to a non-binding reference [17,18,19,20]. A first generation technique, back scattering interferometry (BSI) [21], demonstrated the use of these free solution assays in determining antibody binding against native neuroactive molecules (such as serotonin, histamine, and dopamine) [22]. More recently, a compensated interferometric reader (CIR: 2nd generation BSI) was used to measure the native equilibrium binding (KDs) between different LPA forms and one of its receptors, LPA1, in the low nanomolar range [18, 19], demonstrating the high sensitivity and specificity detection capabilities of the CIR. This report further demonstrates the versatility of a label-free, free solution assay (FSA) in combination with CIR (FSA-CIR) by measuring the specific binding of LPA and non-LPA lipid ligands to the anti-LPA antibody, 504B3, in a more native environment.

Materials and methods

Lipid sample preparation

The murine antibody, 504B3, was purchased from Echelon Biosciences (Salt Lake City, UT, USA). All lipid species including, 1-oleoyl-LPA (18:1), 1-palmitoyl-LPA (16:0), 1-oleoyl-lysophosphatidylcholine (18:1 LPC), 1,2-dioleoyl-PA (18:1–18:1), and sphingosine 1-phosphate (d18:1) (Fig. 1) were purchased from Avanti Polar Lipids Inc. (Alabaster, AL, USA). Approximately 95–97% of LPA is lost when reconstituted without BSA [23] or suitable organic solvents. Therefore, stable lipids (i.e.,16:0 LPA) were dissolved in EtOH:H2O (1:1 v/v), and unstable and highly hygroscopic lipids (i.e., 18:1 LPA, 18:1 LPC, 18:1–18:1 PA) were desiccated, then reconstituted in EtOH:H2O (1:1 v/v solution) to prepare 5 mM stock solutions. 18:1 S1P was dissolved in methanol, desiccated, and reconstituted in 0.4% BSA according to the manufacturer’s instructions.

Fig. 1
figure1

Chemical structure of ligands used in the binding assays against the anti-LPA antibody, 504B3. Lipids varied by acyl chain length (16:0, 18:1 LPA), head group (18:1 S1P, 18:1 LPC), or the presence of a 2nd acyl chain (18:1–18:1 PA)

FSA configuration

The FSA configuration required refractive index (RI)-matched sample and reference solutions (Fig. 2). The binding affinity determinations were done in an end-point assay format [21]. A ligand dilution series (100, 20, 4, 0.8, 0.16, 0.032, and 0 nM) was prepared in 0.01% BSA / 0.002% EtOH/Phosphate buffered saline (PBS; ThermoFisher Scientific, Waltham, MA, USA) from an intermediate stock of 200 nM LPs in 0.01% BSA / 0.002% EtOH/PBS. Lipids were prepared in fatty acid-free BSA solutions to approximate the biological conditions of LPs. Then, each LP dilution was combined with PBS-only to create the reference solution, or 10 μg/ml of the 504B3 antibody in PBS to create the corresponding binding sample solution (Fig. 2). Sample and reference solutions were kept at RT in a shaker for approximately 1-h to reach equilibrium and then analyzed using the CIR. The final concentrations were 5 μg/ml of antibody and 0–50 nM of ligand in a final buffer composition of 0.005% BSA / 0.001% EtOH/PBS.

Fig. 2
figure2

FSA configuration to analyze by CIR. Lipid solutions (six to seven different concentrations each) were divided into two aliquots: one with 504B3 antibody in PBS to form the binding sample; and one with PBS only to prepare an RI-matched non-binding reference solution. The binding signal is determined by RI change between the reference and the sample

The CIR

The details of the interferometer instrumentation have been described elsewhere [17, 19, 20]. Briefly, it consists of a diode laser, two mirrors, one glass capillary, and a CCD camera. Droplet trains of sample-reference pairs were maintained at a constant flow rate in the capillary using a droplet generator (Mitos Dropix; Dolomite Microfluidics, (Royston, North Hertfordshire, UK)) and a syringe pump (Harvard Apparatus, Holliston, MA, USA). Together, the interferometer, a syringe pump (at a flow rate of 10 μL/min), and a droplet generator comprise the CIR. The RI change between the binding sample and reference was measured as a positional shift in backscattered interference fringes produced from the interaction between an expanded beam profile of the laser and a capillary filled with sample-reference solutions [24]. The shift of the backscattered fringe patterns, which is equivalent to molecular binding, was quantified using fast Fourier transform of selected fringes captured in a CCD array. The assay was measured sequentially, as reference, then sample for each concentration, as described previously [19]. The concentration dependent signal was plotted using a non-linear regression, one-site specific binding (Y=Bmax*X/(KD + X) + D; where D is the offset value) isotherm fit in GraphPad Prism Version 8 to determine the equilibrium dissociation constants (KDs).

Results

FSA-CIR was used to reevaluate the equilibrium binding affinity (KD) of the anti-LPA mAb (504B3) against five phospholipids (Fig. 1; 18:1 LPA, 16:0 LPA, 18:1 LPC, 18:1 S1P, and 18:1–18:1 PA). The sample and reference solutions were prepared by mixing a ligand dilution series (0–100 nM) with an equivalent volume of the 504B3 solution (sample; 10 μg/ml dissolved in PBS, pH 7.4) or PBS only (reference) (Fig. 2). Use of the FSA-CIR methodology showed a robust concentration dependent ΔRI signal that almost reached saturation for all ligands, except 16:0 LPA. The FSA signal (ΔRI; refractive index difference between sample and reference) was plotted against ligand concentrations and showed nanomolar binding affinities of 504B3 to not only 18:1 LPA (KD ≈ 3.73 ± 2.8 nM), but also to 18:1 LPC (KD ≈ 8.5 ± 2.6 nM) and 18:1–18:1 PA (KD ≈ 3.3 ± 2.7 nM), with weaker affinity for 16:0 LPA (Fig. 3; Table 1). No specific binding signal was observed for 18:1 S1P.

Fig. 3
figure3

CIR signals identified binding of 504B3 with 4 different phospholipid forms. a-e CIR signal was plotted against the ligand concentrations to determine the binding constant (KD) for 504B3 anti-LPA antibody against five lysophospholipid forms. Binding curves for each ligand ((a) 18:1 LPA, (b) 16:0 LPA, (c)18:1 PA and (d)18:1 LPC and (e) all ligands) were plotted with the negative control S1P (no signal). Each data point represents multiple binding isotherms (experimental replicates) (18:1 LPA, N = 4; 16:0 LPA, N = 4; 18:1–18:1 PA, N = 2; 18:1 LPC, N = 4, and 18:1 S1P, N = 2), each with six to seven technical replicates

Table 1 Binding constants (KD) determined for 5 different phospholipid forms against 504B3

Discussion

A strong affinity of 504B3 to 18:1 LPA was detected, contrasting with 16:0 LPA, which is consistent with previously defined GPCR binding affinities that showed weaker binding to LPA species with shorter hydrocarbon tails [25]. Notably, prior analyses showed comparable binding between LPA1 and both 18:1 LPA and 16:0 LPA [19]. These data suggest that the observed reduced binding affinities for 16:0 LPA may have physiological significance intrinsic to molecular interactions required for binding, albeit with the caveat that antibodies and GPCRs are very different proteins, with different physiological locations: antibodies (IgGs) are in solution, whereas LPA1 and other GPCRs are membrane-bound, all of which complicate direct binding comparisons. However, 504B3-LPA binding showed similar affinities to those seen for LPA when assayed for 18:1–18:1 PA and 18:1 LPC. This high-affinity, off-target binding suggests that neither the head group (18:1 LPC), nor the presence of a 2nd unsaturated hydrocarbon chain (18:1–18:1 PA), significantly altered binding interactions of this antibody. Overall, 504B3 shows comparable binding to 18:1 species of LPC, PA, and LPA.

Importantly, endogenous plasma concentrations of LPC (100–300 μM) are 100-times the reported LPA concentrations (0.1–2 μM) [26,27,28], indicating that a vast majority of 504B3 and related antibodies used in vivo would likely be bound to LPC rather than LPA.

Strengths and limitations of the study

FSA-CIR possesses a number of strengths compared to other technologies: 1) FSA-CIR measures binding in a free solution without a need for tethering or other forms of immobilization, thus better approximating conditions present in vivo between LPA and a binding protein; 2) FSA-CIR does not require molecular labels – e.g., radioactivity, fluorescence, or epitopes – thus avoiding potential artifactual effects; and 3) it utilizes minute volumes, e.g., nanoliter or even sub-nanoliter are sufficient for binding. Despite these strengths, FSA-CIR has its limitations: 1) it is relatively limited in throughput and is without automation; 2) it is not readily available to the research community and is not currently commercialized; and 3) it requires thorough cleaning of the microfluidic channel to avoid cross-sample contamination limiting its scalability. The application used here was limited in that it did not provide stochiometric assessments of LPA molecules bound to an antibody (although use of the two-site binding model did not result in reliable curve fitting based on R2 and other parameters), and not all ligand binding curves reached saturation, which we speculate could reflect interactions beyond antigen binding sites facilitated by lipid properties that, for example, lead to micelles at higher LPA concentrations [29].

Conclusions

The anti-LPA antibody, 504B3, binds other lipids beyond LPA. The use of antibody-based therapies has produced multiple therapeutic successes, ranging from cancer to autoimmune and infectious diseases [30,31,32,33], with the majority targeting protein epitopes. By contrast, bioactive lipids present more challenging targets in that they have overlapping epitopes, are present within most if not all cell membranes (e.g., LPA roles in vesicular curvature [34]), bind to proteins in biological fluids (e.g., to albumin), and have dynamic biosynthesis and release (e.g., with platelet degranulation [35, 36]). As a result, LPA-targeting antibodies face the difficult task of removing actively and continuously produced LPA within not only signaling pools but also larger pools of structural membranes, vesicles, and other contributing compartments (e.g., platelet granules).

More practically, these results raise mechanistic questions about the use of this and related anti-LPA antibodies in basic and clinical research, including pre-clinical studies on spinal cord injury [8] and traumatic brain injury [9, 14] in view of their lack of specificity for LPA, and the possibility that other lipids not assessed in this study could further complicate interpretations. More broadly, other antibodies generated against lipids may benefit from binding analyses by FSA-CIR, particularly for studies of the brain that is composed primarily of lipids (by dry mass). The clinical utility of such strategies remains to be demonstrated; however, it is formally possible that shared epitopes on off-target molecules could nonetheless provide novel results with clinical potential, albeit through distinct mechanisms.

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

References

  1. 1.

    Mizuno H, Kihara Y. Druggable lipid GPCRs: past, present, and prospects. Adv Exp Med Biol. 2020;1274:223–58. https://doi.org/10.1007/978-3-030-50621-6_10.

    Article  PubMed  Google Scholar 

  2. 2.

    Chun J, Hla T, Moolenaar W, Spiegel S, editors. Lysophospholipid receptors: signaling and biochemistry. Hoboken: Wiley; 2014.

    Google Scholar 

  3. 3.

    Yung YC, Stoddard NC, Chun J. LPA receptor signaling: pharmacology, physiology, and pathophysiology. J Lipid Res. 2014;55(7):1192–214. https://doi.org/10.1194/jlr.R046458.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    Lummis NC, Sanchez-Pavon P, Kennedy G, Frantz AJ, Kihara Y, Blaho VA, et al. LPA1/3 overactivation induces neonatal posthemorrhagic hydrocephalus through ependymal loss and ciliary dysfunction. Sci Adv. 2019;5(10):eaax2011.

    CAS  Article  Google Scholar 

  5. 5.

    Sheng X, Yung YC, Chen A, Chun J. Lysophosphatidic acid signalling in development. Development. 2015;142(8):1390–5. https://doi.org/10.1242/dev.121723.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Yung YC, Stoddard NC, Mirendil H, Chun J. Lysophosphatidic acid signaling in the nervous system. Neuron. 2015;85(4):669–82. https://doi.org/10.1016/j.neuron.2015.01.009.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Chun J, Kihara Y, Jonnalagadda D, Blaho VA. Fingolimod: lessons learned and new opportunities for treating multiple sclerosis and other disorders. Annu Rev Pharmacol Toxicol. 2019;59(1):149–70. https://doi.org/10.1146/annurev-pharmtox-010818-021358.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Goldshmit Y, Matteo R, Sztal T, Ellett F, Frisca F, Moreno K, Crombie D, Lieschke GJ, Currie PD, Sabbadini RA, Pébay A. Blockage of lysophosphatidic acid signaling improves spinal cord injury outcomes. Am J Pathol. 2012;181(3):978–92. https://doi.org/10.1016/j.ajpath.2012.06.007.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Arun P, Rossetti F, DeMar JC, Wang Y, Batuure AB, Wilder DM, et al. Antibodies against Lysophosphatidic acid protect against blast-induced ocular injuries. Front Neurol. 2020;11:611816. https://doi.org/10.3389/fneur.2020.611816.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Lpath Reports Favorable Results from Phase 1 Study of Lpathomab [press release]. 2016. https://www.prnewswire.com/news-releases/lpath-reports-favorable-results-from-phase-1-study-of-lpathomab-300253102.html.

  11. 11.

    Sabbadini RA, Garland WA, Hansen G, Swaney JS. Inventors compositions and methods for binding lysophosphatidic acid; 2008.

    Google Scholar 

  12. 12.

    Sabbadini RA, Matteo R. Inventors prevention and treatment of pain using antibodies to lysophosphatidic acid; 2013.

    Google Scholar 

  13. 13.

    Fleming JK, Wojciak JM, Campbell MA, Huxford T. Biochemical and structural characterization of lysophosphatidic acid binding by a humanized monoclonal antibody. J Mol Biol. 2011;408(3):462–76. https://doi.org/10.1016/j.jmb.2011.02.061.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Crack PJ, Zhang M, Morganti-Kossmann MC, Morris AJ, Wojciak JM, Fleming JK, Karve I, Wright D, Sashindranath M, Goldshmit Y, Conquest A, Daglas M, Johnston LA, Medcalf RL, Sabbadini RA, Pébay A. Anti-lysophosphatidic acid antibodies improve traumatic brain injury outcomes. J Neuroinflammation. 2014;11(1):37. https://doi.org/10.1186/1742-2094-11-37.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Helg A, Mueller MS, Joss A, Poltl-Frank F, Stuart F, Robinson JA, et al. Comparison of analytical methods for the evaluation of antibody responses against epitopes of polymorphic protein antigens. J Immunol Methods. 2003;276(1–2):19–31. https://doi.org/10.1016/S0022-1759(03)00075-9.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Hansen ES, Knudsen J. Limitations in the use of the enzyme-linked immunosorbent assay (ELISA) for identification and quantification of thermogenin. J Immunol Methods. 1985;77(2):297–304. https://doi.org/10.1016/0022-1759(85)90043-2.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Kammer MN, Kussrow AK, Olmsted IR, Bornhop DJ. A highly compensated interferometer for biochemical analysis. ACS Sensors. 2018;3(8):1546–52. https://doi.org/10.1021/acssensors.8b00361.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Mizuno H, Kihara Y, Kussrow A, Chen A, Ray M, Rivera R, Bornhop DJ, Chun J. Lysophospholipid G protein-coupled receptor binding parameters as determined by backscattering interferometry. J Lipid Res. 2019;60(1):212–7. https://doi.org/10.1194/jlr.D089938.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Ray M, Nagai K, Kihara Y, Kussrow A, Kammer MN, Frantz A, et al. Unlabeled lysophosphatidic acid receptor binding in free solution as determined by a compensated interferometric reader. J Lipid Res. 2020;61(8):1244. https://doi.org/10.1194/jlr.D120000880.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Kammer MN, Kussrow A, Gandhi I, Drabek R, Batchelor RH, Jackson GW, Bornhop DJ. Quantification of opioids in urine using an Aptamer-based free-solution assay. Anal Chem. 2019;91(16):10582–8. https://doi.org/10.1021/acs.analchem.9b01638.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Bornhop DJ. Backscattering interferometry for low sample consumption molecular interaction screening. JALA. 2009;14:341–7.

    Google Scholar 

  22. 22.

    Kussrow A, Baksh MM, Bornhop DJ, Finn MG. Universal sensing by transduction of antibody binding with backscattering interferometry. Chembiochem. 2011;12(3):367–70. https://doi.org/10.1002/cbic.201000671.

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Lummis NC, Sánchez-Pavón P, Kennedy G, Frantz AJ, Kihara Y, Blaho VA, et al. LPA<sub>1/3</sub> overactivation induces neonatal posthemorrhagic hydrocephalus through ependymal loss and ciliary dysfunction. Sci Adv. 2019;5(10):eaax2011.

    CAS  Article  Google Scholar 

  24. 24.

    Kammer MN, Kussrow AK, Bornhop DJ. Longitudinal pixel averaging for improved compensation in backscattering interferometry. Opt Lett. 2018;43(3):482–5. https://doi.org/10.1364/OL.43.000482.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Tigyi G. Aiming drug discovery at lysophosphatidic acid targets. Br J Pharmacol. 2010;161(2):241–70. https://doi.org/10.1111/j.1476-5381.2010.00815.x.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Michalczyk A, Budkowska M, Dolegowska B, Chlubek D, Safranow K. Lysophosphatidic acid plasma concentrations in healthy subjects: circadian rhythm and associations with demographic, anthropometric and biochemical parameters. Lipids Health Dis. 2017;16(1):140. https://doi.org/10.1186/s12944-017-0536-0.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Cho WH, Park T, Park YY, Huh JW, Lim CM, Koh Y, Song DK, Hong SB. Clinical significance of enzymatic lysophosphatidylcholine (LPC) assay data in patients with sepsis. Eur J Clin Microbiol Infect Dis. 2012;31(8):1805–10. https://doi.org/10.1007/s10096-011-1505-6.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Hosogaya S, Yatomi Y, Nakamura K, Ohkawa R, Okubo S, Yokota H, Ohta M, Yamazaki H, Koike T, Ozaki Y. Measurement of plasma lysophosphatidic acid concentration in healthy subjects: strong correlation with lysophospholipase D activity. Ann Clin Biochem. 2008;45(Pt 4):364–8. https://doi.org/10.1258/acb.2008.007242.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Li Z, Mintzer E, Bittman R. The critical micelle concentrations of lysophosphatidic acid and sphingosylphosphorylcholine. Chem Phys Lipids. 2004;130(2):197–201. https://doi.org/10.1016/j.chemphyslip.2004.03.001.

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Salazar G, Zhang N, Fu TM, An Z. Antibody therapies for the prevention and treatment of viral infections. NPJ Vaccines. 2017;2(1):19. https://doi.org/10.1038/s41541-017-0019-3.

    Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Yasunaga M. Antibody therapeutics and immunoregulation in cancer and autoimmune disease. Semin Cancer Biol. 2020;64:1–12. https://doi.org/10.1016/j.semcancer.2019.06.001.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Hafeez U, Gan HK, Scott AM. Monoclonal antibodies as immunomodulatory therapy against cancer and autoimmune diseases. Curr Opin Pharmacol. 2018;41:114–21. https://doi.org/10.1016/j.coph.2018.05.010.

    CAS  Article  PubMed  Google Scholar 

  33. 33.

    Motley MP, Banerjee K, Fries BC. Monoclonal antibody-based therapies for bacterial infections. Curr Opin Infect Dis. 2019;32(3):210–6. https://doi.org/10.1097/QCO.0000000000000539.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  34. 34.

    McMahon HT, Gallop JL. Membrane curvature and mechanisms of dynamic cell membrane remodelling. Nature. 2005;438(7068):590–6. https://doi.org/10.1038/nature04396.

    CAS  Article  PubMed  Google Scholar 

  35. 35.

    Bosetti M, Boffano P, Marchetti A, Leigheb M, Colli M, Brucoli M. The Number of Platelets in Patient's Blood Influences the Mechanical and Morphological Properties of PRP-Clot and Lysophosphatidic Acid Quantity in PRP. Int J Mol Sci. 2019;21(1):1.

    Article  Google Scholar 

  36. 36.

    Khandoga AL, Fujiwara Y, Goyal P, Pandey D, Tsukahara R, Bolen A, et al. Lysophosphatidic acid-induced platelet shape change revealed through LPA (1-5) receptor-selective probes and albumin. Platelets. 2008;19(6):415–27. https://doi.org/10.1080/09537100802220468.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors thank Dr. Gwendolyn Kaeser for her critical review and editing of this manuscript.

Funding

Research funding was provided by the National Institutes of Health, R01NS103940 to YK and R01NS084398 to JC; Department of Defense, DOD USAMRAA CDMRP W81XWH-17-1-0455 to JC, and the National Science Foundation CHE-1610964 to DJB.

Author information

Affiliations

Authors

Contributions

MR designed the experiment, acquired, analyzed and interpretated the data, and wrote and edited the first draft of the manuscript; YK analyzed and interpreted the data, and completed major revisions to the manuscript; DJB developed the CIR technology; and JC conceived the experiments, interpreted the data, and revised the manuscript. All authors read and approved the submitted version of this manuscript.

Corresponding author

Correspondence to Jerold Chun.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

DJB has a financial interest in Meru Biotechnologies, a company formed to commercialize FSA and the CIR. The other authors declare that they have no competing financial interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ray, M., Kihara, Y., Bornhop, D.J. et al. Lysophosphatidic acid (LPA)-antibody (504B3) engagement detected by interferometry identifies off-target binding. Lipids Health Dis 20, 32 (2021). https://doi.org/10.1186/s12944-021-01454-4

Download citation

Keywords

  • Lysophosphatidic acid
  • Compensated interferometric reader
  • Ligand binding
  • Antibody
  • Lpathomab
  • Lysophospholipid