University Of CincinnatiDownload PDFPatent Trials and Appeals BoardMar 23, 20212020005139 (P.T.A.B. Mar. 23, 2021) Copy Citation UNITED STATES PATENT AND TRADEMARK OFFICE UNITED STATES DEPARTMENT OF COMMERCE United States Patent and Trademark Office Address: COMMISSIONER FOR PATENTS P.O. Box 1450 Alexandria, Virginia 22313-1450 www.uspto.gov APPLICATION NO. FILING DATE FIRST NAMED INVENTOR ATTORNEY DOCKET NO. CONFIRMATION NO. 15/314,414 11/28/2016 Jason C. Heikenfeld UOC-15030US 6526 26875 7590 03/23/2021 WOOD, HERRON & EVANS, LLP 2700 CAREW TOWER 441 VINE STREET CINCINNATI, OH 45202 EXAMINER DONOHUE, SEAN R ART UNIT PAPER NUMBER 1618 NOTIFICATION DATE DELIVERY MODE 03/23/2021 ELECTRONIC Please find below and/or attached an Office communication concerning this application or proceeding. The time period for reply, if any, is set in the attached communication. Notice of the Office communication was sent electronically on above-indicated "Notification Date" to the following e-mail address(es): usptodock@whe-law.com wjacobs@whe-law.com PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD Ex parte JASON C. HEIKENFELD1 Appeal 2020-005139 Application 15/314,414 Technology Center 1600 Before ERIC B. GRIMES, RACHEL H. TOWNSEND, and DEVON ZASTROW NEWMAN, Administrative Patent Judges. GRIMES, Administrative Patent Judge. DECISION ON APPEAL This is an appeal under 35 U.S.C. § 134(a) involving claims to a method of measuring a drug’s concentration based on sweat sensing, which have been rejected as obvious. We have jurisdiction under 35 U.S.C. § 6(b). We REVERSE. STATEMENT OF THE CASE The Specification discloses that “[t]he concentration in a bodily fluid of a delivered solute such as a drug administered to an individual is detected 1 Appellant identifies the real party in interest as University of Cincinnati. Appeal Br. 1. We use the word “Appellant” to refer to “applicant” as defined in 37 C.F.R. § 1.42. Appeal 2020-005139 Application 15/314,414 2 indirectly by co-administering to the patient a known amount of a tracer compound that predictably emerges in sweat, and is easily detectable.” Spec. ¶ 7. A “‘tracer compound’ or ‘tracer’ means a compound having a known co-relationship between the tracer compound’s concentration in sweat with the concentration of a primary drug in blood or an organ.” Id. ¶ 19. One such candidate tracer compound is the well-known drug ibuprofen, which has an active and an inactive stereoisomer. . . . [T]he inactive stereoisomer R-ibuprofen possesses a similar metabolic path through the liver. . . . It can therefore be co- administered with the active S-ibuprofen as a tracer compound. The system could then be used to determine the concentration of S-ibuprofen indirectly by monitoring the concentration of R-ibuprofen metabolites. Id. ¶ 55. Claims 1–5 and 48–53 are on appeal. Claim 1, reproduced below, is illustrative: 1. A method comprising: administering to a patient a known amount of a primary drug; administering to the patient a known amount of a tracer; using a sweat sensing device to take a plurality of measurements of solutes in sweat at a sampling rate having a chronological assurance, wherein the solutes include the tracer or a metabolite of the tracer; receiving a tracer concentration, wherein the tracer concentration is a concentration of the tracer in sweat or a metabolite of the at least one tracer in sweat; and correlating the tracer concentration with a concentration of the drug in the patient’s blood or an organ, wherein a sweat to blood correlation includes one of the following: a time of administration of the drug, a time of administration of the tracer, a method of administration of the drug, a method of Appeal 2020-005139 Application 15/314,414 3 administration of the tracer, and a time of detection of the tracer concentration. The claims stand rejected as follows: Claims 1–5 and 48–52 under 35 U.S.C. § 103 as obvious based on Hagen,2 Kell,3 and Randloev4 (Final Action5 3); Claims 1–5 and 48–52 under 35 U.S.C. § 103 as obvious based on Hagen, Kell, Randloev, and Jamali6 (Final Action 3); and Claim 53 under 35 U.S.C. § 103 as obvious based on Hagen, Kell, Randloev, and Roser7 (Final Action 5). OPINION All of the claims stand rejected as obvious based on Hagen, Kell, and Randloev, optionally combined with Jamali or (with respect to claim 53) Roser. The same issue is dispositive for all of the rejections. The Examiner finds that Hagen teaches a sweat collection and sensing system that allows analysis of biomarkers in sweat. Non-Final Action8 4. The Examiner finds that Hagen claims a method that includes determining the amounts of first and second chemicals in sweat, and the ratio of the first chemical to the second chemical, but does not teach administering a primary 2 WO 2013/152087 A2; published Oct. 10, 2013. 3 5,776,783; issued July 7, 1998. 4 US 2014/0073892 A1; published Mar. 13, 2014. 5 Office Action mailed October 1, 2019. 6 Fakhreddin Jamali, Pharmacokinetics of enantiomers of chiral non- steroidal anti-inflammatory drugs, EUR. J. DRUG METAB. & PHARMACOKIN. 13:1–9 (1988). 7 US 2007/0172424 A1; published July 26, 2007. 8 Office Action mailed June 19, 2019. Appeal 2020-005139 Application 15/314,414 4 drug and a tracer compound, and correlating the tracer concentration with the concentration of the primary drug. Id. at 4–5. The Examiner finds that Kell teaches a method of monitoring consumption of a therapeutic agent by adding a pharmacologically inert substance to the drug as a compliance marker, then correlating the amount of compliance marker in urine to the amount of medication ingested based on “a simple relationship . . . between oral intake and urine output.” Id. at 5. The Examiner also finds that Hagen does not teach “a chronologically assured sampling rate,” id. at 4, but finds that Randloev teaches a glucose prediction model, where “for identification of a time-series prediction model one needs chronologically ordered past glucose data with a sufficiently small sampling rate (sampling interval of 1 to 3 min).” Id. at 5. The Examiner concludes that it would have been obvious to modify Hagen’s sweat-sampling method “by using chronologically assured sampling rate . . . [of] every 1 to 3 min as taught by Hagen et al[.] and Randloev et al. because it would advantageously enable analyzing drug concentration over time.” Id. The Examiner also concludes that it would have been obvious to modify Hagen’s method by administering a drug combined with at least one tracer compound and correlating the tracer concentration with the concentration of primary drug in the patient[’]s blood . . . as taught by Kell et al. because it would advantageously enable determining the amount of drug ingested and amount of [drug] present in blood at the time of sampling based on the known half-life of the drug. Id. at 6. Appellant argues, among other things, that “Hagen, Kell, Randloev, and Jamali fail to teach a mechanism for correlating a tracer concentration Appeal 2020-005139 Application 15/314,414 5 with a concentration of the drug in a patient’s blood or an organ.” Appeal Br. 10 (emphasis omitted). Appellant argues that “Kell describes only that the compliance markers described in Kell are used to determine if the drug is ingested, rather than an actual concentration of the drug in the patient’s blood as recited in claim 1.” Id. at 4. That is, “Kell describes a linear correlation between compliance marker concentration in urine and compliance marker dose” but “the relationship described in Kell is between the concentration of compliance marker in the patient’s urine and the amount of compliance marker ingested, which is in turn related to the amount of drug ingested, but not to the amount of drug in the patient’s blood or organ.” Id. at 5. Appellant argues that Randloev and Jamali fail to cure the deficiencies of Hagen and Kell. Id. at 12. We agree with Appellant that the cited references do not support a prima facie case of unpatentability under 35 U.S.C. § 103. Claim 1 requires measuring the concentration of a tracer compound in a sweat sample and “correlating the tracer concentration with a concentration of the drug in the patient’s blood or an organ.” The Examiner acknowledges that Hagen does not teach this limitation. See Non-Final Action 4–5 (“Hagen et al. do not teach correlating the tracer concentration with a concentration of primary drug.”). Kell discloses a “method . . . for tracking compliance of patients on prescription medications (therapeutic agents) by using compliance markers (quantitative consumption markers) in association with the medications, which consumption compliance marker concentrations can be accurately measured in the urine.” Kell 4:47–53. After the compliance marker Appeal 2020-005139 Application 15/314,414 6 concentration in the urine is determined, “a correlation is made to the amount of actual medication ingested.” Id. at 4:54–56. Kell discloses that “quantitative relationships exist between the amount ingested and the amount appearing in the urine as a function of physical parameters such as patient weight, lean body mass,” etc. Id. at 4:59–62. Kell does not, however, state that the amount of a compliance marker in urine has any correlation with the concentration of a drug in a patient’s blood or organs. In addition, as Appellant has pointed out, “Kell is directed toward urine samples and not sweat samples.” Appeal Br. 6. The specific compliance marker disclosed by Kell is a benzodiazepine. Kell 5:1–4. “[B]enzodiazepines and their metabolites readily pass through the renal system into the urine making benzodiazepines and substances with similar properties especially suitable as compliance markers.” Id. at 5:4–8. Kell states that “many hepatic metabolites of benzodiazepine[s] . . . are not significantly further metabolized by the liver. Consequently, simple relationships exist between oral intake and urine output.” Id. at 7:16–21. Kell does not, however, state that there is a relationship between oral intake of a compliance marker and its output in sweat, much less a relationship between blood concentration and output in sweat. The Examiner cites Randloev only for its disclosure of a sampling rate having a chronological assurance. See Non-Final Action 5 (“Randloev et al. teach . . . chronologically ordered past glucose data with a sufficiently small sampling rate (sampling interval of 1 to 3 min).”). The Examiner finds that Jamali would have suggested using the S-enantiomer of ibuprofen as a tracer Appeal 2020-005139 Application 15/314,414 7 compound. Id. at 6–7. The Examiner does not point to any disclosure in Randloev or Jamali that makes up for the deficiencies of Kell discussed above. The Examiner finds that Roser teaches “a method for measuring the concentration of a medicament through the introduction of a tracer compound. The measurement of the blood concentration of the tracer will yield a result that will enable a prediction of the blood concentration of the medicament.” Final Action 6. Roser thus teaches correlating the blood concentration of one compound (a tracer) with the blood concentration of another compound (a medicament). Roser also fails to make up for the deficiencies of Kell in failing to teach a method of correlating the concentration of a compliance marker (or tracer) in urine or sweat with the concentration of a drug in a patient’s blood or organs. In summary, the Examiner has not provided adequate evidence to show that a method meeting all of the limitations of the claims on appeal would have been obvious based on the cited prior art references. We therefore reverse all of the rejections on appeal. Appeal 2020-005139 Application 15/314,414 8 DECISION SUMMARY In summary: Claim(s) Rejected 35 U.S.C. § Reference(s)/Basis Affirmed Reversed 1–5, 48–52 103 Hagen, Kell, Randloev 1–5, 48–52 1–5, 48–52 103 Hagen, Kell, Randloev, Jamali 1–5, 48–52 53 103 Hagen, Kell, Randloev, Roser 53 Overall Outcome 1–5, 48–53 REVERSED Copy with citationCopy as parenthetical citation