IP Library Patent Application 17291723
Patent Application
App. No. 17/291,723

METHODS TO PREDICT LIVER DISEASE MORTALITY USING LIPOPROTEIN LP-Z

Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US None
App. No.
17/291,723
Abstract

Described herein are methods for the determination of patient mortality from alcoholic hepatitis in biosamples by NMR spectroscopy and more specifically for the determination of a Z index score based on lipoprotein constituent LP-Z in blood plasma and serum.

Claims (37)

1 . A method to predict patient mortality to alcoholic hepatitis comprising:

acquiring an NMR spectrum of a biosample obtained from the subject;

programmatically determining the concentration of LP-Z and total apoB-containing lipoproteins in the sample based on the NMR spectrum of the sample, wherein the NMR spectrum of the sample includes LP-X and LP-Z; and

calculating a Z index score.

2 . The method of claim 1 , wherein the acquiring step of the method comprises:

producing a measured lipid signal lineshape for an NMR spectrum of the biosample obtained from a subject; and

generating a calculated lineshape for the sample.

3 . The method of claim 2 , wherein the calculated lineshape is based on derived concentrations of lipoprotein components comprising LP-X and LP-Z.

4 . The method of claim 3 , wherein the derived concentration of each of the lipoprotein components is a function of a reference spectrum for that component and a calculated reference coefficient.

5 . The method of claim 2 , wherein generating step comprises calculating the reference coefficients for the calculated lineshape based on a linear least squares fit technique.

6 . The method of claim 2 , further comprising:

determining that the degree of correlation between the initial calculated lineshape of the sample and a measured lineshape of the sample; and

determining the presence of LP-Z based on the calculated lineshape if the degree of correlation between the calculated lineshape and the measured lineshape of the sample is above a predetermined threshold.

7 . The method of claim 1 , wherein the Z index score comprises a concentration of lipoprotein LP-Z, LDL, and VLDL.

8 . The method of claim 1 , wherein the Z index is a ratio of LP-Z concentration to total apoB-containing lipoproteins concentration.

9 . The method of claim 1 , wherein the Z index is calculated by the following equation:

Z index=([ LP - Z ])/([ VLDL ]+[ LDL ]+[ LP - Z ]).

10 . The method of claim 1 , wherein a Z index of greater than 0.6 predicts patient mortality will occur in 90 days or less.

11 . The method of claim 1 , wherein the method predicts a likelihood of patient mortality within 90 days.

12 . The method of claim 1 , wherein the method predicts a likelihood of survival or patient response to treatment.

13 . The method of claim 1 , further comprising, before the programmatic determination,

placing the sample of the subject in an NMR spectrometer;

deconvolving the NMR spectrum; and

calculating NMR derived measurements of a plurality of selected lipoprotein parameters based on the deconvolved NMR spectrum.

14 . The method of claim 1 , further comprising producing a report listing the concentrations of the lipoprotein constituents present in the sample and likelihood of mortality.

15 . The method of claim 1 , wherein the biosample is one of blood, serum, plasma, cerebral spinal fluid, or urine.

16 . A NMR analyzer comprising:

a NMR spectrometer;

a probe in communication with the spectrometer; and

a controller in communication with the spectrometer configured to obtain NMR signal of a defined single peak region of NMR spectra associated with LP-Z of a fluid specimen in the probe and generate a patient report providing a LP-Z level.

17 . The analyzer of claim 16 , wherein the controller is in communication with at least one local or remote processor, wherein the at least one processor is configured to:

(i) obtain a composite NMR spectrum of a fitting region of the fluid specimen; and

(ii) deconvolve the composite NMR spectrum using a defined deconvolution model to generate the LP-Z level.

18 . The analyzer of claim 17 , wherein the deconvolution model comprises at least one of high density lipoprotein (HDL) components, low density lipoprotein (LDL) components, VLDL (very low density lipoprotein)/chylomicron components, LP-X, LP-Y and LP-Z.

19 . The analyzer of claim 16 , wherein the probe is a flow probe.

20 . The analyzer of claim 16 , wherein the fluid specimen is an in vitro plasma biosample.

21 . The analyzer of claim 16 , wherein the fluid specimen is a biosample of blood, serum, plasma, cerebral spinal fluid, or urine.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 24, 2026
From: JIANG, ZHENGHUI GORDON; CURRY, MICHAEL; AFDHAL, NEZAM; POPOV, YURY; PEREZ-MATOS, MARIA
To: BETH ISRAEL DEACONESS MEDICAL CENTER, INC.
Reel/Frame 074169/0317 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 24, 2026
From: OTVOS, JAMES D.; SHALAUROVA, IRINA; JEYARAJAH, ELIAS J.; CONNELLY, MARGERY A.
To: LIPOSCIENCE, INC.
Reel/Frame 074169/0552 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 7, 2025
From: LIPOSCIENCE, INC.
To: LABORATORY CORPORATION OF AMERICA HOLDINGS
Reel/Frame 070750/0718 →