CN107389910B - A kind of kit for evaluating renal function - Google Patents
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Abstract
The present invention provides a kind of kits for evaluating renal function.The present invention acquires the biological data of 892 China's Healthy adults, screen to have obtained the possible marker of kidney aging using correlation analysis and multiple linear regression model --- stem cell factor SCF, and analyze variation of the serum SCF concentration between different age group, different sexes.Then in follow-up, vertical analysis has been carried out to eGFR the and SCF variation relation of 289 research objects therein, as a result, it has been found that with age, kidney gradually aging while, serum SCF concentration also gradually rises, renal function variation in SCF and aging course is closely related, reflects the variation of Aging Kidney of Adult function indirectly, can be used as the good index of evaluation kidney aging.
Description
Technical field
The present invention relates to technical field of medical detection, and in particular, to a kind of with stem cell factor is to detect target to comment
The kit of valence renal function or aging degree.
Background technique
As human age increases, a series of structure change is had occurred in kidney, as glomerulus blood vessel scleratheroma increase,
Interstitial fibrosis exacerbation, renal tubule atrophy etc., renal function gradually declines therewith.EGFR is often used in clinical practice to evaluate
Renal function, but there are deviations for GFR estimation of the existing eGFR formula to older population, and also there is no evaluation kidney agings at present
Efficiency index.Researcher still knows little about it to variation of the renal function in aging course, perhaps because now not
It is found the ideal eGFR formula of suitable the elderly's renal function evaluation.Clinically used eGFR calculation formula has Cockcroft-
Gault formula (Cockcroft-Gault formula, CG), modification of diet in renal disease study equation (Modification
Of Diet in Renal Disease formula, MDRD) and CKD-EPI formula, wherein MDRD and CKD-EPI formula is equal
Recommend by rigorous derivation and verifying, and by numerous clinical practice guidelines.Compared with MDRD formula, CKD-EPI formula is more
It is common, while its validity and accuracy are verified in large sample, multiracial crowd, the application selects under study for action
Be CKD-EPI formula.
Stem cell factor (stem cell factor, SCF) is also referred to as kit ligand (kitligand, KITLG) or steel gray
The factor (steel factor, SF), is mainly derived from keratinocyte, is the ligand of tyrosine kinase c-kit receptor, leads to
Multi-signal conduction path can be activated in conjunction with c-kit receptor by crossing, existing research report, and SCF is thin by activation stem cell, grain
The triggerable inflammatory reaction such as born of the same parents, mast cell and organ fibrosis.SCF has soluble and two kinds of existence forms of cell film property, and two
Person all has bioactivity, can be in conjunction with c-kit receptor.Cell membrane SCF can become solvable under the decomposition of proteolytic enzyme
Property SCF, know little about it at present to the transformational relation of two kinds of forms, some scholars speculate two kinds of existence forms between proportional imbalance
It may be the pathogenetic key factor of certain diseases.But whether SCF is related to kidney aging still unclear.
Summary of the invention
It is an object of the invention to confirm that SCF is related to the aging of kidney, provide a kind of for evaluating renal function or kidney
The kit of dirty aging degree.
After a large number of experiments studies discovery youth-Aged Mice disjunctor, the renal function of Aged Mice improves the present invention,
The trend of rejuvenation is presented, while the serum SCF level of disjunctor Aged Mice significantly reduces, therefore SCF may participate in kidney
In aging.The big main feature of the one of kidney aging is exactly that fibrosis increases, it has been found that with age, kidney is gradually
While aging, serum SCF concentration is also gradually risen.It is inferred that SCF may by reflect renal fibrosis degree,
The reversed variation for mirroring Aging Kidney of Adult function.By verification experimental verification, SCF can be as the New Set of evaluation kidney aging degree.
Further, the present invention provides a kind of biomarker for evaluating renal function, is stem cell factor (SCF).
The present invention provides stem cell factors in the biological marker as evaluation renal function or evaluation kidney aging degree
Application in object.
The present invention provides stem cell factors in preparation evaluation renal function or the kit for evaluating kidney aging degree
Application.
Above-mentioned application is that renal function is gradually lower or kidney aging journey as stem cell factor concentration is higher in serum
Degree is gradually increased.
The present invention also provides the biological reagents to detect stem cell factor in preparation evaluation renal function or evaluation kidney
Application in the kit of dirty aging degree.
It should be appreciated that all biological reagents that can be used in detecting the variation of stem cell factor concentration evaluate kidney function in preparation
Protection scope of the present invention all should belong in the purposes that can or evaluate in the kit of kidney aging degree.
Above-mentioned application, judgment criteria are stem cell factor in biological reagent detection serum, the concentration of stem cell factor
Higher, then renal function is lower or kidney aging degree is bigger.
It is the evaluation renal function or evaluation kidney aging journey for detecting target that the present invention provides a kind of with stem cell factor
The kit of degree.
The present invention provides it is a kind of evaluation renal function or evaluate kidney aging degree kit, containing with stem cell because
Son is the biological reagent of detection target.
Its test object of mentioned reagent box is serum or urine.
Its evaluation criterion of mentioned reagent box is that stem cell factor concentration is higher, and renal function is gradually lower or kidney aging
Degree is gradually increased.Experimental summary according to the present invention is as follows: < 50 years old, SCF mean value was 1083.88pg/mL, standard deviation
232.02pg/mL；50≤CA < 60 year old SCF mean value is 1141.02pg/mL, 253.95 60≤CA of standard deviation < 70SCF mean value
1220.51246.85pg/mL；>=70 years old SCF mean value 1352.59pg/mL, standard deviation 317.18pg/mL.
The present invention acquires the biological data of 892 China's Healthy adults, using correlation analysis and multiple linear
Regression model screens to have obtained the possible marker of kidney aging --- stem cell factor SCF, and serum SCF concentration is analyzed not
Variation between same age bracket, different sexes.Then in follow-up, the eGFR and SCF of 289 research objects therein are changed
Relationship has carried out vertical analysis, as a result, it has been found that with age, kidney gradually aging while, serum SCF concentration is also gradually
It increases, serum SCF and eGFR is negatively correlated, and SCF is higher, and eGFR is lower, and the raised crowd eGFR of SCF is easier to reduce, explanation
Renal function variation in SCF and aging course is closely related, reflects the variation of Aging Kidney of Adult function indirectly, SCF can be used as
Evaluate the good index of kidney aging.
Detailed description of the invention
Fig. 1 is baseline study 289 research object ages, Sex distributions, and a figure is that the range of age is 22~86 years old, 62 years old
The research object number of left and right is most, and the age distribution figure of b figure and c figure respectively male and female, d figure is male and female
Other ratio chart.
Fig. 2 is 289 research object ages of follow-up, Sex distribution figure, and a figure is that the range of age is 29~85 years old, 66 years old left side
Right research object number is most, and the age distribution figure of b figure and c figure respectively male and female, d figure is male and female ratio
Figure.
Fig. 3 is the relationship scatter plot at age, SCF and eGFR, in single factor test linear regression, age (a figure, r=-
0.694, P < 0.001) and serum SCF concentration (b figure, r=0.424, P < 0.001) is linearly related with eGFR.
Fig. 4 is the gender of serum SCF concentration, age differences figure, and each age group number accounts for total number of persons ratio as shown in figure a.
Increase (figure b) by being compared and discovery SCF concentration increases with the age to each age group SCF concentration of male and female, but nothing
Gender differences；And eGFR increases with the age and is declined, there are gender differences, male is higher than women, P < 0.01 * *.
Fig. 5 is the relational graph of baseline and follow-up eGFR and age, in addition to < 50 years old age group, the baseline of remaining each age group
There is a statistical difference (a) with follow-up eGFR numerical value, and a △ eGFR no difference of science of statistics (b), blue represents base-line data in c figure,
Red represents follow up data, and baseline and follow-up eGFR are closely related with the age, increases with the age and declines, and * * P < 0.01, * P <
0.05。
Fig. 6 is the relational graph of baseline and follow-up SCF and age, and baseline and follow-up SCF have statistics poor between each age group
Different (a), and △ SCF no difference of science of statistics (b), blue represents base-line data in c figure, and red represents follow up data, baseline and with
It is closely related with the age to visit SCF, increases with the age and increases, P < 0.01 * *.
Fig. 7 is SCF and eGFR variation relation figure, and the SCF of baseline and follow-up is linearly related (a) with eGFR, SCF raising group
Follow-up eGFR be substantially less than baseline level, and stablize the baseline and the horizontal equal no difference of science of statistics of follow-up eGFR of group and reduction group
(b).In each age group, ratio shared by eGFR reduction crowd and indifference (c).And SCF is increased in 60~70 years old crowd
Ratio be significantly higher than remaining each age group (d).
Specific embodiment
The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention..Without departing substantially from spirit of that invention
In the case where essence, to modifications or substitutions made by the method for the present invention, step or condition, all belong to the scope of the present invention.
Unless otherwise specified, chemical reagent used in embodiment is conventional commercial reagent, skill used in embodiment
The conventional means that art means are well known to those skilled in the art.Stem cell factor detection reagent used in the embodiment of the present invention
Box, R&D Systems, Minneapolis, USA.
This research has passed through the audit of Ethics Committee, PLA hospital general, and all research objects, which endorsed, knows together
Meaning book.Studying the healthy population being related to is the Community Population from areas of Beijing.The method of the selection of community's general population is point
Layer random sampling respectively chooses the community Liang Ge using the table of random numbers in each administrative area in Beijing first, further according to the population of community
Quantity determines the sampling number of the community, finally extracts experimental subjects using the table of random numbers.
Inclusion criteria are as follows: over 18 years old；Agree to and signs informed consent form；Without hypertension, apoplexy, glycosuria in nearly six months
Disease, tumour, heart failure, coronary heart disease, peripheral vascular disease, insanity, wound, renal failure, respiratory disease and infectious disease medical history；
Has certain study and cognitive ability；Has certain social communication ability.
1 serum stem cell factor of embodiment is associated with Journal of Sex Research with what renal function changed
1, method
1.1 grouping standards and data acquisition and physical examination
Baseline crowds in 2014 and follow-up crowd in 2016 are divided into < 50 years old, 50≤CA < 60 year old, 60 all in accordance with the baseline age
≤ CA<70 year old and>=70 years old four groups.This research carried out data acquisition twice, acquisition range respectively at 2014 and 2016
Cover physical examination, blood biochemistry, routine urinalysis, serum SCF concentration mensuration 27 indexs of totally 4 major class.The surname of Record analysis object
The essential informations such as name, gender, age, contact method.It is required that research object sloughs shoes and coat, erect position is kept, by researcher
Height, weight, waistline, hip circumference are successively measured, and records data, calculates BMI and WHR.
The detection of 1.2 blood biochemistries
5ml venous blood is extracted under research object fasting conditions in normal serum pipe, is sent into biochemistry test section, inspection
Surveying index includes: that glutamic-pyruvic transaminase, glutamic-oxalacetic transaminease, total protein, albumin, bilirubin, Scr, urea nitrogen, blood glucose, total gallbladder are solid
Alcohol, triglycerides, high-density lipoprotein, low-density lipoprotein, serum uric acid.Chronic kidney disease is brought into according to Scr numerical value later
The eGFR formula that epidemiology cooperative groups are announced:
eGFR(mL/min/1.73m2)=a × (Scr/b)c×(0.993)age
A=144 (women) or 141 (males) in formula；B=0.7 (women) or 0.9 (male)；As Scr≤0.7mg/dL
When, c=-0.329 (women) or -0.411 (male), as Scr > 0.7mg/dL, c=-1.209.
The detection of 1.3 routine urinalysis
Subject leaves and takes first time urina sanguinis clean the middle urine 10ml, is sent into clinical laboratory, Testing index includes: urine face
Color, pH value, specific gravity of urine, urobilinogen, bilirubin, urinary leukocyte, urine erythrocyte, Urine proteins, glucose in urine.
1.4 serum SCF Concentration Testings
Serum SCF concentration mensuration using enzyme linked immunosorbent assay (enzyme linked immunosorbent assay,
ELISA).(1) sample prepares: extracting 5ml venous blood under fasting conditions from research object morning in normal serum pipe, Zhi Houfang
Enter refrigerated centrifuge, 1000g is centrifuged 15 minutes under the conditions of 4 DEG C, draws upper serum in cryopreservation tube, appropriate serum is taken to be used for
The ELISA of SCF is detected.(2) preparation of reagents: 1) washing lotion: 20mL Washing buffer (25 ×) are measured and are added to 480mL steaming
In distilled water, 500mL washing lotion is prepared；2) luminescent solution: taking each 10mL mixing of developing solution A and developing solution B, be kept in dark place, ready-to-use,
It is used in 15 minutes after preparation；3) standard items: 1. 2000pg/mL standard items: 1mL dilution is added into standard items albumen powder and fills
Divide dissolution, obtains 2000pg/mL standard items；2. 1000pg/mL standard items: taking 500 μ l 2000pg/mL standard items, be added to
It is sufficiently mixed in 500 μ l dilutions, obtains 1000pg/mL standard items；3. 500pg/mL standard items: taking 500 μ l 1000pg/mL
Standard items are added in 500 μ l dilutions and are sufficiently mixed, obtain 500pg/mL standard items；4. 250pg/mL standard items: taking 500 μ
L 500pg/mL standard items are added in 500 μ l dilutions and are sufficiently mixed, obtain 250pg/mL standard items；5. 125pg/mL is marked
Quasi- product: 500 μ l 250pg/mL standard items are taken, is added in 500 μ l dilutions and is sufficiently mixed, obtain 125pg/mL standard items；⑥
62.5pg/mL standard items: 500 μ l 125pg/mL standard items are taken, is added in 500 μ l dilutions and is sufficiently mixed, obtain
62.5pg/mL standard items；7. 31.3pg/mL standard items: taking 500 μ l 62.5pg/mL standard items, be added in 500 μ l dilutions
It is sufficiently mixed, obtains 31.3pg/mL standard items.(3) ELISA operating procedure: experimental implementation process strictly carries out to specifications,
Each sample and standard items do multiple holes detection.It takes 100 μ l serum or standard items to be added in detection hole, while 100 μ l mono- is added
It is anti-, it is incubated for 2 hours at room temperature.Sample and antibody are outwelled, with the washing lotion board-washing prepared in advance, 400 μ l washing lotions, concussion is added in every hole
40s outwells liquid, in triplicate, claps on clean paper handkerchief after last time board-washing and goes extra washing lotion, reduce washing lotion to the greatest extent
Residual.100 μ l secondary antibodies are added, is incubated for 2 hours at room temperature, repeats the above board-washing process later, after last time board-washing, are added
The luminescent solution that 200ul is prepared is protected from light is incubated for 30min at room temperature.50 μ l developing solutions are added in last every hole, and gently concussion mixes, and put
Enter in microplate reader and detect, absorption photometric value is detected under 450nm light, is corrected under 630nm light.(4) it SCF concentration calculation: uses
Four parametric methods construct standard curve, calculate SCF concentration, unit pg/mL by the OD value of each sample.
1.5 statistical analysis
The arrangement and analysis of data are all made of SPSS v20.0 software (IBM SPSS, West Grove, PA, USA), own
Data indicate that all measurement datas are indicated with " mean standard deviation " with " mean ± standard deviation ", and enumeration data uses number of cases
Or composition ratio indicates.We calculate the change rate of SCF and eGFR according to base-line data and follow up data simultaneously, by taking SCF as an example,
SCF change rate, i.e. △ SCF=(baseline SCF- follow-up SCF)/baseline SCF, while it is steady for defining variation range -1%~1%
Fixed constant, -1% the following are reduction, 1%, the above are raisings.The measurement data correlation analysis of Normal Distribution uses
Pearson correlation analysis disobeys the measurement data of normal distribution using Spearman correlation analysis.Obey normal state
The measurement data of distribution, mean value compares using independent samples t test between two groups, and more comparison among groups use One-way ANOVA ratio
Compared with.P < 0.05 is defined as statistically significant.
2, result
2.1 selected crowds
In 2014, totally 1368 Community Populations were agreed to participate in data acquisition, in which: 299 people had previously within June in past
Medical history；37 people do not pass through physical examination；34 people leave and take blood sample not successfully；52 human urine samples leave and take failure；52 people's blood are raw
Change and routine urianlysis inspection result is abnormal, the serum sample of 2 people does not meet SCF testing requirements, final 892 community health people
It studies within selected 2014, average age 59.0 ± 13.4 years old, wherein 357 people of male, average age 58.9 ± 13.5 years old, women
535 people, average age 59.1 ± 13.4 years old (Fig. 1).In follow-up in 2016, there are 289 people to be selected in follow-up investigation, wherein male
112 people, average age 62.5 ± 12.1 years old, 177 people of women, average age 61.3 ± 11.2 years old (Fig. 2).
The horizontal analysis of 2.2 healthy population eGFR and the variation of serum SCF concentration
2.2.1 eGFR and SCF is closely related
The average eGFR of 892 research objects of baseline study in 2014 is 91.64 ± 18.03mL/min/1.73m2, phase
The analysis of closing property is the results show that the correlation of age and SCF concentration and eGFR are higher (| r | P<0.05>0.30and, table 1).Its
In, the related coefficient highest (r=-0.706, P < 0.001) of age and eGFR.
Each index of table 1 and eGFR correlation
2.2.2 serum SCF is the possible biological markers of kidney aging
The biological markers for being possibly used for reflection renal function variation are explored using multiple linear regression model.Model
The results show that SCF (β=- 0.011, P < 0.001) and age (β=- 0.846, P < 0.001) are the good of evaluation eGFR variation
Index (table 2).The a and b of Fig. 3 are respectively the scatter plot at age and SCF and eGFR relationship, and the relationship of three can be expressed as follows:
EGFR=154.486-0.846 × age -0.011 × SCF.
2 age of table, SCF and eGFR multiple linear regression analysis result
2.2.3 serum SCF concentration has age difference and asexuality difference
All research objects are grouped according to gender and age, wherein < (90 people of male, women 110 by 50 years old 200 people of group
People), 50~60 years old 228 people of group (73 people of male, 155 people of women), 60~70 years old 257 people of group (116 people of male, 141 people of women),
>=70 years old 207 people of group (75 people of male, 132 people of women), each age group ratio is as shown in a of Fig. 4.One-way analysis of variance result
It has been shown that, no matter male or women, SCF concentration is between 60~70 and>=70 years old group variant (P<0.05), and this two groups
SCF concentration is respectively higher than < 50 years old group and 60~70 years old group (P < 0.05), the trend for increasing with the age and rising is presented, but independent
The sample t-test SCF concentration asexuality difference b of Fig. 4 (scheme) as the result is shown；EGFR numerical value exists between each age group simultaneously
Difference (P < 0.05) presents and increases and downward trend with the age, and there are significant property by eGFR as the result is shown for independent samples t test
Other difference (P < 0.05), male eGFR are higher than women (c of Fig. 4 schemes).
The vertical analysis of 2.3 healthy population eGFR and the variation of serum SCF concentration
2.3.1 SCF and eGFR increases and significant changes with the age
It shares 289 research objects and enters longitudinal research, the baseline age of follow-up crowd is 59.8 ± 11.6 years old.Using only
Vertical sample t-test is compared the baseline and follow-up numerical value of each index of follow-up crowd, as the result is shown in addition to the age, total protein,
There are statistical difference (tables 3) in baseline and follow-up for the numerical value of Scr, SCF and eGFR.
3 follow-up crowd baseline of table and follow up data compare
Follow-up crowd is grouped according to age bracket, wherein < 50 years old 51 people of group, 50~60 years old 82 people of group, 60~70 years old group 90
People, >=70 years old 66 people of group.It is respectively compared eGFR the and △ eGFR of each group baseline and follow up data.The results show that removing < 50 years old group
Outside, the baseline of remaining each age group and follow-up eGFR numerical value have a statistical difference, follow-up eGFR reduce compared with baseline level (P <
0.05, Fig. 5 a figure), and △ eGFR no difference of science of statistics (b of P > 0.05, Fig. 5 scheme).The phase of baseline eGFR and age in 2014
Relationship number is follow-up eGFR in -0.628,2016 and the related coefficient at age is -0.618, with the age closely related (c of Fig. 5
Figure).Then eGFR increases with the age in the trend gradually reduced after 50 years old, according to our follow up data it is found that eGFR declines
Rate be 2.84mL/.
It is respectively compared SCF the and △ SCF of each age group baseline and follow up data again.The results show that the baseline of each age group
There is statistical difference with follow-up SCF, follow-up SCF increases (a of Fig. 6 schemes) compared with baseline level, and △ SCF is between four age groups
Equal no difference of science of statistics (b of P > 0.05, Fig. 6 scheme).Baseline SCF in 2014 and the related coefficient at age be 0.312,2016 with
It visits SCF and the related coefficient at age is 0.301, it is closely related (c of Fig. 6 schemes) with the age.Then SCF increases with the age in raising
Trend, according to our follow up data it is found that the increased rate of SCF be 114.10pg/.
2.3.2 SCF is reduced with eGFR and is increased
The related coefficient of each index and eGFR when baseline and follow-up is calculated separately, age, Scr and SCF are in base as the result is shown
There is higher correlation (| r | P<0.05>0.30and) when line and follow-up with eGFR, serum uric acid is only in follow-up in 2016
It is higher with eGFR correlation, and it is lower (table 4) with eGFR related coefficient in baseline.The simple regression relationship of SCF and eGFR is such as
Shown in a of Fig. 7, the every reduction 1mL/min/1.73m of eGFR2, SCF raising 40.18pg/mL.
4 follow-up crowd baseline of table and each index of follow-up are compared with eGFR related coefficient
△ SCF is defined -1% the following are SCF reduction group, -1%~1% stablizes constant group for SCF, 1% the above are
SCF raising group, wherein 68 people of SCF reduction group, baseline eGFR are 93.80 ± 14.53mL/min/1.73m2, follow-up eGFR is
87.44±18.91mL/min/1.73m2；SCF, which stablizes constant group, 13 people, and baseline eGFR is 92.02 ± 18.91mL/min/
1.73m2, follow-up eGFR is 88.67 ± 20.48mL/min/1.73m2；SCF raising group has 208 people, and baseline eGFR is 90.48 ±
17.30mL/min/1.73m2, follow-up eGFR is 83.96 ± 17.82mL/min/1.73m2.The baseline of SCF raising group and follow-up
EGFR level has statistical difference (P < 0.05), and follow-up eGFR is substantially less than baseline level, and SCF stablizes constant group and reduction group
Baseline and the follow-up eGFR indifference b of Fig. 7 (scheme).
Defining △ eGFR simultaneously, the following are eGFR reduction groups, -1%~1% to stablize constant group for eGFR -1%, 1%
The above are eGFR raising groups, and wherein 221 people of eGFR reduction group, stablizes constant group of 22 people, 46 people of eGFR raising group.In < 50 years old group
In, the number that eGFR is reduced is 37 people, accounts for this group of total number of persons 72.6%；In 50~60 years old groups, the number that eGFR is reduced is 63, is accounted for
This group of total number of persons 76.8%；In 60~70 years old groups, the number that eGFR is reduced is 90, accounts for this group of total number of persons 78.9%；>=70 years old groups
In, the number that eGFR is reduced is 66, accounts for this group of total number of persons 75.8% (c of Fig. 7 schemes).
In < 50 years old group, the raised number of SCF is 36 people, accounts for this group of total number of persons 70.6%；In 50~60 years old groups, SCF liter
High number is 58, accounts for this group of total number of persons 70.7%；In 60~70 years old groups, the raised number of SCF is 68, accounts for this group of total number of persons
75.6%；In >=70 years old groups, the raised number of SCF is 46, accounts for this group of total number of persons 69.7% (d of Fig. 7 schemes).Therefore, 60 are in
The crowd of~70 years old age brackets, the raised ratio of SCF are bigger.
The above results explanation, with age, kidney gradually aging while, serum SCF concentration also gradually rises, blood
Clear SCF and eGFR is negatively correlated, and SCF is higher, and eGFR is lower, and the raised crowd eGFR of SCF is easier to reduce, and illustrates SCF and aging
Renal function variation in the process is closely related, reflects the variation of Aging Kidney of Adult function indirectly, and SCF can be used as evaluation kidney and decline
Old good index.Different age group SCF normal range (NR) is as shown in table 5 below.
5 different age group SCF normal value of table
Those skilled in the art with content according to the present invention, can design the kit of detection SCF concentration for evaluating kidney
Dirty function or aging degree, this can be obviously realized based on the contents of the present invention.Therefore it is based on the content of present invention
The kit for extending obtained detection SCF belongs to protection category of the invention.
Although above the present invention is described in detail with a general description of the specific embodiments,
On the basis of the present invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Cause
This, these modifications or improvements, fall within the scope of the claimed invention without departing from theon the basis of the spirit of the present invention.
Claims (2)
1. application of the stem cell factor in preparation evaluation mankind's renal function or the kit for evaluating kidney aging degree, with
Stem cell factor concentration is higher in serum, and renal function is gradually lower or kidney aging degree is gradually increased, wherein < 50 years old, SCF
Mean value is 1083.88pg/mL, standard deviation 232.02pg/mL；50≤CA < 60 year old SCF mean value is 1141.02pg/mL, standard deviation
253.95 60≤CA < 1220.51 246.85pg/mL of 70SCF mean value；>=70 years old SCF mean value 1352.59pg/mL, standard deviation
317.18pg/mL。
2. evaluating mankind's renal function or evaluation kidney in preparation to the biological reagent for detecting stem cell factor concentration in serum
The concentration of application in the kit of dirty aging degree, stem cell factor is higher, then renal function is lower or kidney aging degree
It is bigger, and < 50 years old, SCF mean value is 1083.88pg/mL, standard deviation 232.02pg/mL；50≤CA < 60 year old SCF mean value is
1141.02pg/mL, 253.95 60≤CA of standard deviation < 1220.51 246.85pg/mL of 70SCF mean value；>=70 years old SCF mean values
1352.59pg/mL, standard deviation 317.18pg/mL.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710507720.0A CN107389910B (en) | 2017-06-28 | 2017-06-28 | A kind of kit for evaluating renal function |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1368507A (en) * | 2001-02-07 | 2002-09-11 | 深圳科兴生物工程股份有限公司 | Process for purifying stem cell factor |
| CN102854305A (en) * | 2011-12-23 | 2013-01-02 | 中国人民解放军第三〇九医院 | Prewarning kit for transplant kidney rejection and use method thereof |
| CN102854323A (en) * | 2011-12-23 | 2013-01-02 | 中国人民解放军第三〇九医院 | Transplant kidney rejection reaction early diagnosis kit and use method of kit |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1368507A (en) * | 2001-02-07 | 2002-09-11 | 深圳科兴生物工程股份有限公司 | Process for purifying stem cell factor |
| CN102854305A (en) * | 2011-12-23 | 2013-01-02 | 中国人民解放军第三〇九医院 | Prewarning kit for transplant kidney rejection and use method thereof |
| CN102854323A (en) * | 2011-12-23 | 2013-01-02 | 中国人民解放军第三〇九医院 | Transplant kidney rejection reaction early diagnosis kit and use method of kit |
Non-Patent Citations (2)
| Title |
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| 慢性再生障碍性贫血患者血清干细胞因子水平测定;宫立众 等;《第三军医大学学报》;20010630;第23卷(第6期);第701、704页 |
| 连体动物模型的构建及内环境影响老年肾损伤关键因子的研究;宁一纯;《中国博士学位论文全文数据库（医药卫生科技辑）》;20150415(第04期);E059-2 |
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