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Int J Med Sci 2017; 14(3):231-239. doi:10.7150/ijms.17627

Research Paper

Proteomics Analysis to Identify and Characterize the Biomarkers and Physical Activities of Non-Frail and Frail Older Adults

Ching-Hung Lin1, Chen-Chung Liao2, Chi-Huang Huang3, Yu-Tang Tung4, Huan-Cheng Chang5, Mei-Chich Hsu4,6,7 Corresponding address, Chi-Chang Huang4 Corresponding address

1. Physical Education Office, Yuan Ze University, Taoyuan 32003, Taiwan;
2. Proteomics Research Center, National Yang-Ming University, Taipei 11221, Taiwan;
3. Department of Athletic Training and Health, National Taiwan Sport University, Taoyuan 33301, Taiwan;
4. Graduate Institute of Sports Science, National Taiwan Sport University, Taoyuan 33301, Taiwan;
5. Department of Family Medicine, Taiwan Landseed Hospital, Ping-Jen City, Taoyuan 32449, Taiwan;
6. Department of Sports Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan;
7. Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) License. See for full terms and conditions.
How to cite this article:
Lin CH, Liao CC, Huang CH, Tung YT, Chang HC, Hsu MC, Huang CC. Proteomics Analysis to Identify and Characterize the Biomarkers and Physical Activities of Non-Frail and Frail Older Adults. Int J Med Sci 2017; 14(3):231-239. doi:10.7150/ijms.17627. Available from


Globally, the proportion of older adults is increasing. Older people face chronic conditions such as sarcopenia and functional decline, which are often associated with disability and frailty. Proteomics assay of potential serum biomarkers of frailty in older adults. Older adults were divided into non-frail and frail groups (n = 6 each; 3 males in each group) in accordance with the Chinese-Canadian Study of Health and Aging Clinical Frailty Scale. Adults were measured for grip power and the 6-min walk test for physical activity, and venous blood was sampled after adults fasted for 8 h. Ultra-high-performance liquid chromatography-tandem mass spectrometry was used for proteomics assay. The groups were compared for levels of biomarkers by t test and Pearson correlation analysis. Non-frail and frail subjects had mean age 77.5±0.4 and 77.7±1.6 years, mean height 160.5±1.3 and 156.6±2.9 cm and mean weight 62.5±1.2 and 62.8±2.9 kg, respectively. Physical activity level was lower for frail than non-frail subjects (grip power: 13.8±0.4 vs 26.1±1.2 kg; 6-min walk test: 215.2±17.2 vs 438.3±17.2 m). Among 226 proteins detected, for 31, serum levels were significantly higher for frail than non-frail subjects; serum levels of Ig kappa chain V-III region WOL, COX7A2, and albumin were lower. The serum levels of ANGT, KG and AT were 2.05-, 1.76- and 2.22-fold lower (all p < 0.05; Figure 1A, 2A and 3A) for non-frail than frail subjects and were highly correlated with grip power (Figure 1B, 2B and 3B). Our study found that ANGT, KG and AT levels are known to increase with aging, so degenerated vascular function might be associated with frailty. In total, 226 proteins were revealed proteomics assay; levels of angiotensinogen (ANGT), kininogen-1 (KG) and antithrombin III (AT) were higher in frail than non-frail subjects (11.26±2.21 vs 5.09±0.74; 18.42±1.36 vs 11.64±1.36; 22.23±1.64 vs 9.52±0.95, respectively, p < 0.05). These 3 factors were highly correlated with grip power (p < 0.05), with higher correlations between grip power and serum levels of ANGT (r = -0.89), KG (r = -0.90), and AT (r = -0.84). In conclusion, this is the first study to demonstrate a serum proteomic profile characteristic of frailty in older adults. Serum ANGT, KG and AT levels could be potential biomarkers for monitoring the development and progression of frailty in older adults.

Keywords: Strength, Proteomics, Angiotensinogen, Kininogen-1, Antithrombin III


Aging, affected by several factors, is often described as a syndrome of lack of resilience to stressors and decline in functional reserve of physiological systems. It affects human health and enhances exposure to diseases [1, 2]. Frailty is associated with impaired ability to endure and respond to stress. Fried et al. [1] operationalized frailty as weight loss, weak grip strength, self-reported exhaustion, slow walking speed and low physical activity. However, all of these characteristics are external indexes. 10.7% of older adults aged 65 to 74 years are frail [3]. Frail older adults have the higher risks of disabilities, fall incidents, hospitalization and death [4]. Frailty is negative associated with physical activity [5].

Blood serum, a complex body fluid, contains various proteins ranging in concentration over at least 9 orders of magnitude. One of the driving forces in proteomics is the discovery of biomarkers, proteins that change in concentration or state in associations with a specific biological process or disease [6]. Abnormal conditions such as allergy, infection or sedentary living usually accompany dysfunction or altered expression of certain proteins. Specific alterations among proteins can have physiologic meaning, so comparing these proteins is helpful in diagnoses because it provides valuable insight into the overall health state [7]. High-efficiency equipment and techniques are needed in analyzing the complicated protein composition in plasma [8]. Proteomics has been used to distinguish the diverse expression of specific proteins such as in degrees of schizophrenia [9], Parkinson's disease [10], and epithelial ovarian cancer from normal tissue [11].

We hypothesized that the proteome might be altered in frail older adults. We examined frailty in older adults and compared the proteome among frail and non-frail older adults.



The institutional review board of Taiwan Landseed Hospital inspected all human experiments, and this study conformed to the guidelines of protocol IRB-11-24 approved by the institutional ethics committee. Subjects ≥ 65 years old who could walk independently or rely on aids such as a cane and maintained their original lifestyle were selected. We excluded subjects with major diseases or terminal cancer, serious cardiovascular diseases, and central nervous system diseases. Subjects were divided by the Chinese-Canadian Study of Health and Aging Clinical Frailty Scale (CSHA-CFS) [12] into 2 groups (n = 6 each; 3 males and 3 females each). All participants gave their signed consent to be in the study. Vigorous activities were forbidden for 3 days before the experiment, with maintenance of the original lifestyle.

Study Design

Measurement of physical activity was on alternate days and on two dates within a week. Venous blood was sampled and body composition data were collected after fasting for 8 h. Measurement of physical activity was conducted at 9:00 am.

Blood Collection

Blood samples were collected by qualified nurses or medical examiners, with subjects fasting 8 hr or more before collection. We collected 15 ml blood from the cubital vein of left or right arm with vacutainers containing anticoagulant. Samples were centrifuged at 1500×g for 15 min and serum was separated and immediately stored at -80ºC.

Physical Activity Test

Measurement of physical activity was testing for identification of the two items proposed by Fried et al. [1], hand-grip strength and walk speed. Grip strength was measured in kilograms by using a handheld dynamometer Grip-D (Talei, Japan). Width was adjusted for each subject before testing, then subjects stood with their elbow down. The best performances with maximum force lasting 2 sec in both hands for 2 times were recorded and the average defined upper-body hand-grip strength, abbreviated as grip power.

To assess mobility, we referred to previous studies [13, 14] for cardiorespiratory endurance estimated by the 6-min walk test. Test was operated on adequate straight line or elliptic ground. Subjects were required to walk 6 minutes as fast as possible. Slowing down or resting midway was accepted. Distances were recorded and translated into walk speed.

SDS-PAGE and In-Gel Digestion

Protein samples (n = 6 each group; 3 males and 3 females each) extracted from blood serum were resolved by 10% SDS-PAGE. Briefly, 50 μg of each protein sample was applied to gel in triplicate, and the sizes of proteins were visualized by staining with a staining kit after electrophoresis, then gels were destained by repeated washing in a solution of 25 mM ammonium bicarbonate and 50% (vol/vol) acetonitrile (1:1) until the protein bands were invisible. Gels were dried with use of a Speed-Vac (Thermo Electron, Waltham, Massachusetts, USA), then rehydrated with 2% (vol/vol) β-mercaptoethanol in 25 mM ammonium bicarbonate and incubated at room temperature for 20 min in the dark. Cysteine alkylation was performed by adding an equal volume of 10% (vol/vol) 4-vinylpyridine in 25 mM ammonium bicarbonate and 50% (vol/vol) acetonitrile for 20 min. The samples were washed by soaking in 1 ml of 25 mM ammonium bicarbonate for 10 min. After Speed-Vac drying for 20 min, in-gel trypsin digestion was carried out by incubating samples with 100 ng modified trypsin (Promega, Mannheim, Germany) in 25 mM ammonium bicarbonate at 37°C overnight. The supernatant of the tryptic digest was transferred to an Eppendorf tube. Extraction of the remaining peptides was performed by adding 25 mM ammonium bicarbonate in 50% (vol/vol) acetonitrile, then the solution was incubated for 10 min. The resulting digestions were dried in a Speed-Vac and stored at -20°C until further analysis.

Nanoflow Ultra-high-performance Liquid Chromatography-tandem Mass Spectrometry (nUPLC-MS/MS)

Cryo-stored tryptic digestions were resuspended in 30 μl of 0.1% (vol/vol) formic acid and analyzed by use of an online nanoAcquity ultra Performance LC (UPLC) system (Waters, Manchester, UK) coupled to a hybrid linear ion trap Orbitrap (LTQ-Orbitrap Discovery) mass spectrometer with a nanoelectrospray ionization source (Thermo Scientific, San Jose, CA). After loading the sample with a single injection model into the UPLC, peptides were captured and desalted on a C18 trapping cartridge (nanoAcquity UPLC Trap Column; Waters), then further separated on an analytical reverse-phase C18 tip column (10 cm × ID 75 μm and 360 μm in diameter; Poly Micro Technology). Mobile phase solvent A and B were prepared as 0.1% formic acid in water and in acetonitrile, respectively. The separation condition involved eluting the peptides from the column with a linear gradient of 3% to 40% B for 90 min, 40% to 95% B for 2 min, and 95% B for 10 min at a flow rate of 0.5 μl/min. The eluted peptides were ionized with spray voltage of 2.33 kV and introduced into the mass spectrometer. Mass spectrometry data were obtained by a data-dependent acquisition method (isolation width: 2 Da), with one full MS survey scan (m/z: 200-1500) at a high resolution of 30000 full at width half-maximum followed by a MS/MS scan (m/z: 200-1500) of the six most intense multiply charged ions (2+ and 3+). Fragment ions of the each selected precursors were generated by collision-induced dissociation (CID) by using helium gas with collision energy of 35% (or 3.5 eV). The dynamic exclusion duration of precursors was set to 120 s with an exclusion list size of 200.

Mass Spectrometry

LC-MS/MS raw data (.raw files) collected by Xcalibur 2.0.7 SR1 software (ThermoElectron, San Jose, CA) were converted into peak list files (.dta) by using our in-house software within a Microsoft VBA environment. The resulting .dta files were used to search against a UniProt rat protein database (containing 33,457 protein sequences; released on April, 2013; with an in-house TurboSequest search server (ver. 27, rev. 11; Thermo Electron, Waltham, MA). The following search parameters were incorporated: peptide mass tolerance, 3.5 Da; fragment ion tolerance, 1 Da; enzyme was set as trypsin; one missed cleavage allowed; peptide charge, 2+ and 3+; and oxidation on methionine (+16 Da) and vinylpyridine alkylation on cysteine (+105.06 Da) allowed as variable modifications. TurboSequest results were filtered with criteria, and all accepted results had a delta Cn (DelCN) ≥ 0.1. A protein was identified when at least two unique peptides matched, with the Xcorr score of each peptide > 2.5. The false discovery rate (FDR, ≤ 1%) from the search against the decoy database was used to estimate the protein identifications. Label-free quantitative analysis with MS spectra counting involved an in-house tool within a Microsoft VBA environment. MS spectral counts were normalized to the total-identified spectra per biological sample and the proteins (containing at least 2 unique peptides) with a statistically significant higher or lower peptide counts in PM-NAFLD rats (t test; p ≤ 0.05) were considered as differentially expressed. All LC-MS/MS .raw files in this study are accessible in the PeptideAtlas database ( with the dataset identifier.

Statistical Analysis

Data are presented as means ± SEM. An independent t test was used for analyzing differences between groups. Correlation was analyzed by Pearson product-moment correlation. p < 0.05 was considered statistically significant.

Results and Comments

This is the first study to demonstrate a serum proteomic profile characteristic of frailty in older adults. Serum ANGT, KG and AT levels could be potential biomarkers for monitoring the development and progression of frailty in older adults. Participant characteristics are shown in Table 1. Grip power, walk distance and speed were worse in frail than non-frail subjects (13.8±1.07 vs 26.1±3.02 kg; 215.2±42.2 vs 438.3±42.0 m; 35.9±7.0 vs 73.1±7.0 m/min, respectively, p < 0.05). Our study found that grip power and 6-min-walk test have been shown to be predictive of frailty. Grip power and 6-min walk test have been found to be predictive of incident frailty. We found these characteristics to differ by frailty status, which is consistent with prior study including weak strength and slow walk speed among 5 indicators generalized as frailty [1]. Furthermore, decreased strength and endurance compared to the same age were found objective indicators of frailty. We found 46% and 51% reduced strength and 6-min walk distance, respectively, in our subjects. Hand grip test has been found highly associated with whole-body muscle strength, although measured easily by power from arms [15, 16]. Also, the performance of hand grip by older adults is strongly related to mortality and disability in older adults [15-17]. Therefore, the strength is to some degree representative of individual frailty. The 6-min walk test, focusing on lower body activity, was found predictive of frailty by observing worsening cardiorespiratory endurance and walk speed.

 Table 1 

Characteristics of non-frailty and frailty subjects.

Basic demographics
Sex (men/women, n)(3/3)(3/3)
Age (yr)77.5 ± 0.477.7 ± 1.6
Height (cm)160.5 ± 1.3156.6 ± 2.9
Body weight (kg)62.5 ± 1.262.8 ± 2.9
Heart rate (beats/min)77.2 ± 4.977.5 ± 1.7
SBP (mmHg)147.3 ± 8.8135.3 ± 9.9
DBP (mmHg)85.2 ± 11.080.7 ± 12.0
Functional status
Right hand grip strength (kg)27.3 ± 1.314.3 ± 0.6*
Left hand grip strength (kg)25.0 ± 1.213.4 ± 0.4*
Grip power (kg)26.1 ± 1.213.8 ± 0.4*
6-min-walk distance (m)438.3 ± 17.2215.2 ± 17.2*
6-min-walk speed (m/min)73.1 ± 2.935.9 ± 2.9*

Data are mean ± SEM for n = 6 subjects per group. Data in the same row with superscript symbol “ * ” differ significantly, p < 0.05 by t-test. SBP, systolic blood pressure; DBP, diastolic blood pressure.

Among 226 proteins detected, for 31, serum levels (P00450, Q5T985, P08603, Q9UP60, P02790, P01009, Q9P173, P10643, D3DNU8, P04004, P02763, B4E1Z4, Q6MZV7, C9JV77, B4E1C2, Q86U78, P13671, P04003, G3V5I3, P01008, P01598, P10909, P00738, P01031, Q68CX6, P01777, Q68CK4 and Q6MZV6) were significantly higher for frail than non-frail subjects; serum levels of Ig kappa chain V-III region WOL (P01623), COX7A2 (Q496I0), and albumin (P02768) were lower (Table 2). The serum levels of ANGT, KG and AT were 2.05-, 1.76- and 2.22-fold lower (all p < 0.05; Figure 1A, 2A and 3A) for non-frail than frail subjects. In addition, serum ANG level was negatively correlated with grip power (r = -0.89, p < 0.05) in non-frail elders (Figure 1B), and serum KG and AT levels were negatively correlated with grip power (r = -0.90, p < 0.05 and r = -0.84, p < 0.05, respectively) in elders with frailty (Figures 2B and 3B).

 Figure 1 

(A) Serum levels of angiotesinogen (ANG) in frailty and non-frailty. *, p < 0.05. (B) Relationship between the grip power and serum ANG level. Serum ANG level was negatively correlated with grip power (r = -0.89, p < 0.05) in elders with non-frailty. Elders with frailty and non-frailty are represented by the filled triangles and open circles, respectively.

Int J Med Sci Image (Click on the image to enlarge.)

Our study found that ANGT, KG and AT levels are known to increase with aging, so degenerated vascular function might be associated with frailty. Elevated level of ANGT and KG might result in decreased strength. ANGT, regulating blood pressure, body fluid and homeostasis of sodium and potassium, is the first-stage reactive substance in the renin-angiotensin system (RAS). ANGT, secreted by the liver, is transformed by renin secreted by the kidney to be angiotensin I and then angiotensin II by angiotensin-converting enzyme. RAS affects the increase in blood pressure, particularly by vasoconstriction. In addition, RAS may also have negative effects, including causing thrombosis or inhibiting angiogenesis. Although ANGT does not directly affect blood pressure, it is the source of the RAS mechanism. Thus, much literature has examined the relationship between RAS and blood pressure. Changes in blood pressure in some patients were found associated with high ANGT level [18], and high concentration of ANGT was found in some families with a history of hypertension [19]. A positive association of ANGT and blood pressure was determined [20] as well as increased systolic blood pressure observed with increased ANGT, age or even obesity [21, 22]. Furthermore, animal models with transgenic or knockout genes also demonstrated that increased ANGT was associated with increased blood pressure [23, 24].

Frailty, is usually accompanied by elevated blood pressure, which may be higher whether exceeding the normal range or not [25-27]. Yoshida et al. [27] found that older adults ≥ 70 years old with 2 years of frailty showed significantly increased blood pressure and decreased grip power. We found that frail adults also had significantly reduced grip power but no reduced absent in the blood pressure compared to the same age. As shown in the Figure 2, it might be inevitable of increasing blood pressure in the frailty since ANGT in frailty group was significantly higher than the other groups. High ANGT concentration might be observed prior to elevated blood pressure in the frailty.

 Table 2 

Differentially expressed proteins in non-frailty and frailty samples

Protein-IDProtein NameNon-FrailtyFrailtyp valueFold
P01623Ig kappa chain V-III region WOL4.68 ± 0.511.28 ± 0.920.0089-3.65
Q496I0COX7A2 protein13.15 ± 1.976.23 ± 1.470.0184-2.11
P02768Serum albumin1466.80 ± 25.911247.41 ± 23.880.0001-1.18
P00450Ceruloplasmin97.02 ± 1.59116.98 ± 4.730.00251.21
Q5T985Inter-alpha-trypsin inhibitor heavy chain H254.63 ± 3.7669.59 ± 2.650.00861.27
P08603Complement factor H71.63 ± 2.5594.21 ± 3.990.00081.32
Q9UP60SNC73 protein79.39 ± 7.37105.07 ± 3.130.00941.32
P02790Hemopexin31.81 ± 1.8042.12 ± 3.250.01971.32
P01009Alpha-1-antitrypsin66.29 ± 6.9297.8 ± 8.740.01801.48
Q9P173PRO227527.50 ± 2.0040.91 ± 3.410.00691.49
P10643Complement component C78.22 ± 0.9812.36 ± 0.860.00981.50
D3DNU8Kininogen 1, isoform CRA_a11.64 ± 1.3618.42 ± 1.360.00551.58
P04004Vitronectin10.67 ± 0.7717.21 ± 1.610.00431.61
P02763Alpha-1-acid glycoprotein 15.20 ± 1.249.36 ± 0.480.01091.8
B4E1Z4Complement factor B21.69 ± 5.5241.87 ± 3.80.01311.93
Q6MZV7Putative uncharacterized protein52.13 ± 8.60100.89 ± 11.980.00801.94
C9JV77Alpha-2-HS-glycoprotein3.58 ± 0.827.62 ± 0.790.00542.13
B4E1C2Kininogen 1, isoform CRA_b6.19 ± 1.9813.30 ± 1.370.01462.15
Q86U78Angiotensinogen (Serine (Or cysteine) proteinase inhibitor, clade A5.09 ± 0.7411.26 ± 2.210.02462.21
P13671Complement component C66.44 ± 1.1014.36 ± 0.700.00012.23
P04003C4b-binding protein alpha chain5.88 ± 1.1813.15 ± 1.970.01012.24
G3V5I3Alpha-1-antichymotrypsin11.18 ± 2.2325.32 ± 3.100.00412.27
P01008Antithrombin III9.52 ± 0.9522.23 ± 1.640.00002.33
P01598Ig kappa chain V-I region EU0.95 ± 0.432.29 ± 0.410.04692.41
P10909Clusterin3.94 ± 1.2110.04 ± 2.070.02942.55
P00738Haptoglobin9.03 ± 4.1627.16 ± 3.270.00653.01
P01031Complement C53.48 ± 1.0411.21 ± 2.550.01853.22
Q68CX6Putative uncharacterized protein DKFZp686O1314916.56 ± 10.5055.57 ± 6.670.01063.35
P01777Ig heavy chain V-III region TEI3.68 ± 1.0012.92 ± 1.680.00083.51
Q68CK4Leucine-rich alpha-2-glycoprotein0.98 ± 0.643.64 ± 0.900.03753.72
Q6MZV6Putative uncharacterized protein DKFZp686L192353.12 ± 3.1217.23 ± 5.500.04985.52
O75882Attractin0.57 ± 0.573.38 ± 0.330.00165.97
P09871Complement C1s subcomponent0.78 ± 0.784.68 ± 0.790.00546.02
P02748Complement component C90.75 ± 0.494.88 ± 0.580.00036.55
P19652Alpha-1-acid glycoprotein 2N.D.a2.04 ± 0.720.0179+
Q9H382Fibronectin 1N.D.2.72 ± 1.120.0357+
F8W7M9Fibulin-1N.D.1.98 ± 0.780.0291+
P01596Ig kappa chain V-I region CARN.D.1.21 ± 0.400.0121+
P01620Ig kappa chain V-III region SIEN.D.3.93 ± 1.010.0031+
P04208Ig lambda chain V-I region WAHN.D.0.84 ± 0.380.0494+
Q6GMX6IGH@ proteinN.D.59.01 ± 8.840.0001+
Q9NVE5Ubiquitin carboxyl-terminal hydrolase 40N.D.1.49 ± 0.470.0102+
D3DVD8Spectrin, alpha, erythrocytic 1 (Elliptocytosis 2), isoform CRA_c3.56 ± 1.07N.D.0.0077-

Mean ± SEM. *N.D., not detectable.

 Figure 2 

(A) Serum levels of kininogen-1 (KG) in frailty and non-frailty. *, p < 0.05. (B) Relationship between grip power and serum KG level. Serum KG level was negatively correlated with grip power (r = -0.90, p < 0.05) in elders with frailty. Elders with frailty and non-frailty are represented by the filled triangles and open circles, respectively.

Int J Med Sci Image (Click on the image to enlarge.)

KG is one of the initial reaction substances in kallikrein-kinin system (KKS). KG will be transformed into kallikrein and thereby changed into kallidin stored in tussue and bradykinin in plasma from low molecular weight kininogen (LMWK) and high molecular weight kininogen, (HMWK) respectively. Researchers have indicated that KG and KKS has been associated with pulmonary vascular injury, vascular (remodeling) and inflammation, suggesting that KG has anti-inflammatory effects [28]. Other research also pointed out that significantly reduced KG was observed in damaged liver function or cirrhosis patient [29]. Promoted (intravascular coagulation) was caused during the process of cirrhosis and reduced KG [30], but more studies have found the negative effect on blood pressure because of KG reduction [31, 32], since KKS and KG are found to improving (vosodilation) including skeletal muscle [33].

Our findings are also supportive of the observation from previous reports that raised blood pressure due to insulin resistance or impaired insulin tolerance was improved by increased KG and KKS which assuredly enhanced (angiogenesis) [34-37]. Since KG can be traced from KKS, it is undeniable that some fundamental implications to the body with increased KG although documents above focused on (angiogenesis) and (vosodilation) effects of KG and KKS. Referring to the connection between KG, age or diseases, KG in frailty group was significantly higher than the other groups. Studies have indicated that KG increased with age [38, 39], and which may attached with physiological disorders of vascular function caused by age [40].

 Figure 3 

(A) Serum levels of antithrombin III (AT) in frailty and non-frailty. *, p < 0.05. (B) Relationship between grip power and serum AT level. Serum AT level was negatively correlated with grip power (r = -0.84, p < 0.05) in elders with frailty. Elders with frailty and non-frailty are represented by the filled triangles and open circles, respectively.

Int J Med Sci Image (Click on the image to enlarge.)

Focusing on diseases, documents observed higher blood pressure with decreased KG [41, 42]. However, later study indicated that higher blood pressure also reflected higher KG [43]. Besides, there are studies also indicate incused KG was an important characterization of early gastric cancer stages [44] as well as aging and inflammation in animal studies which pointed out increased KG with frailty nor inflammation[45, 46]. Increasing KG was found by other research lasting even 2.8-4 months in dying animals [47]. Briefly reviewing, we demonstrated the counterbalance of mechanism between RAS and KKS. Indeed, in fact, both are recognized responsible for vascular regulation, including contraction, relaxation, inflammation and alterations in blood pressure [48]. Under certain circumstances, KKS is considered to be negative feedback after RSA overexpression in order to maintain homeostasis [49]. The study found that increasing level of ANGT and KG significantly is consistent to the counterbalance of its mechanism, which may also explain why blood pressure-increased ANGT in frailty was significantly higher than other group but absent in real high blood pressure.

There is significant negative correlation between KG and strength in frailty group but without other group. There are few reports discussing directly the association of KG and strength, but vascular physiologically dysfunction was found in individuals lacking of KG [40]. Further, some scholars have found less KG significantly in muscle atrophy [50]. It seems that in order to balance the internal negative effects including increased blood pressure brought by ANGT or inhibition against angiogenesis although KG was demonstrated to cause a positive regulation. Therefore, high KG level in frailty fully indicated certain decline in physiological reserve capacity, which is in accordance with the performance of muscle strength.

Antithrombin III (AT), an inhibitor of (serine protease), might play a key role in elderly aging process. It protects our body from forming thrombus by inhibiting thrombin, AT, thromboplastin IXa, Xa, Xia, XIIa, plasmin and kallikreihn. It serves as 70-90% anticoagulant and can be activated 100 times by heparin. In general, AT decreased gradually with age [51]. Although some studies have shown higher AT in the elderly than young, like this study in which [52] found induced AT in healthy aging female compare to aged male and younger female rats. Reduced AT protein is considered a decline in functional capacity [53], whereas the increase in the AT is associated with primary defense mechanism [54] or anti-inflammation [55], especially for the inhibition of (coagulation factor). For this reason, (thrombin-antithrombin III complex) was found increased compared to the younger [56]. That study also found patients with normal ECG but peripheral arterial disease have a higher AT content compared with the same disease and abnormal ECG patients. Another study also found an increase in AT will elevate the risk of cardiovascular disease, but low AT in severe cardiovascular disease [57]. Previous study revealed that reduced AT, as well as age and hypertention, was lighly associated with coronary disease while investigating the relation of coronary disease and biochemical factors [58]. This study illustrated that in order to cope with disease during initial period, nagative feedback will promote AT in the frailty since nagative effects were caused by degeneration of body.

The study found that muscle strength showed a negative correlation with AT in frailty group but not in non-frailty group. Increased AT may be a reflection of body functional decline. It is widely accepted that physical activity drops down as aging, while protective measures well be adopted to prevent it. We observed that decreased physical activity followed by increased AT resulted from negative feedback with aging. Previous studies have shown that AT supplementation can reduce muscle damage AT [55], strengthen the blood capillary and increase skeletal muscle blood flow [59]. Those literatures present the muscle-protective effect of AT and indirectly prevent the loss of muscle strength although physical activity in these studies are not directly known to maintain or increase. Increased AT did not assist physical activity to meet to normal adults in frailty group. However, if there was not negative-feedback increase in AT, frailty status would become even more severe. Instead of a mortal or deadly disease, frailty might be a reflection to the degree of body degeneration through regulation of AT. Thus, frailty symptoms or early-stage phenotype might be improved with adequate repair.

Lower physical activity was actually observed in questionnaire-selected frailty subjects. By demonstrating the serum proteomic profiles characteristic of frailty, we found the interaction between degeneration of vascular function and resulted complementary as ANGT and KG are known the increase with aging states. In addition to the decline in strength, increasing serum AT level with ageing might be the fundamental proteomic biomarkers to the frailty.


The present study found negative and high correlations between the function of grip strength and serum ANGT, KG and AT levels. This association suggests that serum ANGT, KG and AT levels could serve as potential biomarkers for monitoring the development and progression of frailty for elder people.

Authors' contributions

Ching-Hung Lin, Chi-Huang Huang, Mei-Chich Hsu, and Chi-Chang Huang conceived of the study and supervised the study design. Ching-Hung Lin and Chen-Chung Liao carried out the laboratory experiments, analyzed the data, interpreted the results and wrote the manuscript. Ching-Hung Lin, Chi-Huang Huang, Huan-Cheng Chang and Chi-Chang Huang planned the project and recruited subjects. Chen-Chung Liao, Mei-Chich Hsu and Chi-Chang Huang contributed reagents, materials, analysis tools. Ching-Hung Lin, Yu-Tang Tung and Chi-Chang Huang prepared figures, edited and revised manuscript. All authors discussed the results and implications on the manuscript at all stages. All authors read and approved the final manuscript.


The corresponding author acknowledges the Ministry of Science and Technology (MOST) of Taiwan, the successor to the National Science Council (grants no. grant no. NSC-100-2410-H179-012 and MOST-104-2410-H-037-004-MY2), for financial support. We also thank Dr, Kuei-Yu Chien for many constructive suggestions during the experiment.

Competing Interests

The authors have declared that no competing interest exists.


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Author contact

Corresponding address Corresponding authors: Department of Sports Medicine, Kaohsiung Medical University, No. 100, Shih-Chuan 1st Road, Kaohsiung 80708, Taiwan (M.-C.H.); Graduate Institute of Sports Science, National Taiwan Sport University, No. 250, Wenhua 1st Rd., Guishan Township, Taoyuan County 33301, Taiwan (C.-C.H.). Tel.: +886-7-3121101 ext. 2646 (M.-C.H.); +886-3-328-3201 ext. 2619 (C.-C.H.). Electronic addresses: meichichcom (M.-C.H.); (C.-C.H.).

Received 2016-9-18
Accepted 2016-12-28
Published 2017-2-23