Open Access

Quantization and diagnosis of Shanghuo (Heatiness) in Chinese medicine using a diagnostic scoring scheme and salivary biochemical parameters

  • Sijun Liu1,
  • Zhaosheng Huang1Email author,
  • Qingguang Wu1,
  • Zhangjie Huang1,
  • Lirong Wu1,
  • Wenli Yan1,
  • David Lungpao Chang2,
  • Zheng Yang2 and
  • Zongwei Wang3Email author
Chinese Medicine20149:2

https://doi.org/10.1186/1749-8546-9-2

Received: 9 April 2013

Accepted: 31 December 2013

Published: 4 January 2014

Abstract

Background

This study aims to establish a diagnostic scoring scheme for Shanghuo (Heatiness) and to evaluate whether Shanghuo is associated with biochemical parameters of salivary lysozyme (LYZ), salivary secreted immunoglobulin (S-IgA), salivary amylase (AMS), and saliva flow rate (SFR).

Methods

We collected 121 Shanghuo patients at the Affiliated Hospitals of Guangzhou University of Traditional Chinese Medicine in Guangdong Province, 60 cases as a Shanghuo recovered group, and 60 healthy cases as a healthy control group. The diagnostic scoring scheme was established by probability theory and maximum likelihood discriminatory analysis on the basis of epidemiology with the design of self-controlled clinical trial. Subsequently, we used the same methods to collect 120 Shanghuo patients, 60 Shanghuo recovered cases, and 60 healthy cases in both Hunan Province and Henan Province. The levels of LYZ, S-IgA, AMS, and SFR were tested when the patients suffered from Shanghuo or recovered, respectively.

Results

The diagnostic score table for Shanghuo syndrome was established first. In the retrospective tests, the sensitivity, specificity, accuracy, and positive likelihood ratio of the diagnostic score table were 98.9%, 93.5%, 97.5%, and 14.34%, respectively. In the prospective tests, the corresponding values were 94.9%, 85.7%, 91.7%, and 6.64%, respectively. Shanghuo was classified into three degrees based on the diagnostic scores, common Shanghuo: 63–120; serious Shanghuo: 121–150; very serious Shanghuo: >150. A negative correlation was found between Shanghuo and S-IgA (R = -0.428; P = 0.000). The level of S-IgA was also affected by seasonal and regional factors. No significant correlations were found between Shanghuo and the levels of LYZ, AMS, and SFR.

Conclusions

In this study, Shanghuo could be diagnosed by the combination of the diagnostic score table and S-lgA level.

Background

Huo (fire) is one of the five basic elements in traditional Chinese Medicine (TCM), together with Mu (wood), Tu (earth), Jin (metal), and Shui (water). Huo symbolizes active, positive, and warm substances or states [1]. When Huo becomes hyperactive in the body, this kind of internal Huo or internal Re (heat) is idiomatically expressed as “Shanghuo” (Heatiness) [2].

Shanghuo in traditional Chinese medicine (TCM) is characterized by “redness, swelling, fever, and pain”, usually emerges in the middle to late stages of infectious diseases, and also occurs in non-infectious diseases such as autoimmune diseases and endocrine diseases [3]. Typically, TCM physicians diagnose Shanghuo through inspection (visual examination), audio-olfactory examination, inquiry, and palpation, which are usually based on the clinicians’ subjective judgment, not quantified objective diagnostic parameters.

Human saliva is composed of 99.5% water, and the remaining 0.5% comprises electrolytes, mucus, glycoproteins, enzymes, and antibacterial compounds such as secretory IgA (S-IgA) and lysozyme (LYZ) [46]. S-IgA and LYZ protect the tooth enamel and prevent tooth decay and gum disease [7, 8]. Studies have shown that some of the components in saliva can be used as biomarkers for diagnosis. Real-time PCR assays of both liquid and dried saliva specimens showed high sensitivity and specificity for detecting cytomegalovirus infection, suggesting their potential as screening tools for cytomegalovirus infection in newborns [9]. Zerr et al.[10] developed a noninvasive method for testing serially-collected saliva specimens for human herpesvirus-6, and applied this method prospectively in children from birth to 2 years of age to determine the pattern of acquisition and natural history of human herpesvirus-6 infection. More importantly, the easy access to saliva samples provides superiority for good repeatability and improved diagnostic accuracy.

In the oral immune system, S-IgA has been recognized as a critical immune barrier for infection and allergy [11]. Studies have shown that S-IgA agglutinates and binds the microbes in the oral cavity, inhibits their adhesive capability, and prevents them from clinging to the surface of the oral tissues. In addition, S-IgA inhibits bacterial growth and proliferation by changing the growth features of bacteria, and inhibits viral duplication with the help of complement proteins and lysosomes. Studies have found that the levels of S-IgA are evidently lower in patients with recurrent aphthae, recalcitrant oral ulceration, and oral lichen planus than in healthy control subjects [1215].

Previous studies suggested that LYZ and SFR are associated with the occurrence and development of common oral diseases [16, 17]. In general, a low level of LYZ is often correlated with the occurrence of oral infections and inflammatory diseases, and the frequency and proneness for dental plaque and dental caries [16].

This study aims to include the biochemical parameters of salivary LYZ, salivary S-IgA, salivary amylase (AMS), and saliva flow rate (SFR) in the diagnosis of the clinical syndrome of Shanghuo. We investigated Shanghuo cases from Guangdong, Hunan, and Henan provinces in China by establishing a diagnostic score table and a frequency table for Shanghuo, and evaluated whether Shanghuo is associated with the levels of LYZ, AMS, SFR, and S-IgA.

Methods

This study followed the Standards for Reporting of Diagnostic Accuracy (STARD) [18]. And it was approved by the Ethical review board of The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Ethical Committee of Hunan University of TCM, and Ethical Committee of Henan University of TCM. All candidates signed a written consent followed by a baseline interview. During the interview, the candidates were asked to fill out a questionnaire, and the collected data included candidate’s name, age, gender, address, the degree situation of observed index, the collection location, the collection time and the diagnostic results.

Inclusion criteria

Shanghuo group

The subjects in the Shanghuo group, who signed a written consent that approved by the research ethical committee complied with the diagnostic standards described below [19] and were simultaneously diagnosed as suffering from Shanghuo by three independent doctors in our group. If there was any disagreement on the diagnostic results among the doctors, the subject was excluded. The standards were as follows: internal exuberant fire and heat, characterized by common symptoms such as fever, thirst, and preference for cold drinks, epigastric burning, flushed face and hot eyes, constipation, scanty yellow urine, reddened tongue with yellow and dry coating, rapid pulse or vigorous and rapid pulse.

Shanghuo recovered group

The subjects in the Shanghuo recovered group were diagnosed as suffering from Shanghuo at the beginning of the study and recovered after 1–2 weeks. These subjects were also identified by three independent doctors in our project group with complete agreement. The recovered criteria matched those applied to the healthy control group.

Healthy control group

The subjects in the healthy control group had no excess Huo (or Re) syndrome, Xu Re (deficiency heat) syndrome, Xu Huo (deficiency fire) syndrome, for instance, oral dryness, oral ulcers, bitter taste, halitosis, swollen gums with pain or bleeding, stuffy nose, nasal dryness, nosebleed, ocular itch, eye gum, tinnitus, throat dryness, sore throat, acne, vertigo, scurf, vexing heat, low fever, insomnia, irascibility, yellow urine, reddened tongue, yellow tongue coating, constipation, thin rapid pulse, rapid flooding pulse, and were simultaneously diagnosed as not suffering from Shanghuo by three independent doctors in our group.

Exclusion criteria

The exclusion criteria for three groups were as follows: patients with malignant tumor diseases, patients with hepatitis, tuberculosis or other infectious diseases, patients with mental disorders, patients with diseases affecting the procedure for collecting saliva or affecting the follow-up study, non-acceptance of providing informed consent or low compliance from the patient.

Collection of clinical data

Between June 2003 and June 2008, we collected 121 Shanghuo patients at the Affiliated Hospitals of Guangzhou University of Traditional Chinese Medicine in Guangdong Province, 60 cases as the Shanghuo recovered group, and 60 healthy control cases as well––– to establish the diagnostic score table for Shanghuo. The same standards were followed when we collected another 120 Shanghuo cases, 60 recovered cases, and 60 healthy cases from both Hunan Province and Henan Province (Table 1). As showed in Table 1A, there were 102 male and 139 female in Guangdong province, 113 male and 127 female in Hunan province, 105 male and 135 female in Henan province. By chi-square test, there was no significant difference between three geographical regions in gender (P > 0.05, X2 =1.162, P = 0.559). Through the test of homogeneity of variance, age and weight of subjects in three geographical regions has homogeneity of variance. By One-way ANOVA test (LSD), no significant difference was found between two of three groups in the factor of age and weight (P = 0.126, 0.197 and 0.144 respectively, with the age of subjects in Guangdong vs. Hunan, Guangdong vs. Henan, and Hunan vs. Henan. P = 0.082, 0.095, and 0.104 respectively, with the weight of subjects in Guangdong vs. Hunan, Guangdong vs. Henan, and Hunan vs. Henan Table 1B). Patient information was further summarized as Figure 1.
Table 1

The clinical data of subjects

A. The number of subjects from three geographical regions

Gender

Number of subjects in Guangdong province

Number of subjects in Hunan province

Number of subjects in Henan province

Total

Heatiness

Recovered

Healthy control

Heatiness

Recovered

Healthy control

Heatiness

Recovered

Healthy control

Male

51

24

27

55

28

30

50

30

25

318

Female

70

36

33

65

32

30

70

30

35

391

Total

121

60

60

120

60

60

120

60

60

721

B. The situation of age and weight with subjects

Geographical regions

Number of subjects (N)

Age (year)

Weight (kg.)

Subjects in Guangdong province

241

32.415 (15.220 )

49.541 (17.040)

Subjects in Hunan province

240

33.250 (19.085)

52.440 (15.115)

Subjects in Henan province

240

31.215 (12.550)

54.755 (13.205)

All data were presented as mean (SD).

Figure 1

The flow diagram of the study.

The patients in the three groups were asked to fill out a questionnaire (Additional file 1). This questionnaire on symptoms and signs was established by comprehensively listing the frequency of occurrence of symptoms and signs of Shanghuo according to the literature, selecting the symptoms with their frequency of occurrence with ranking of top 30 as the indices for four diagnostic methods, and setting a dichotomous variable (Yes/No).

Saliva collection and salivary biochemical parameters test

Sampling procedure

Saliva samples were collected from 9:00–11:00 a.m. and 2:00–4:00 p.m., respectively. After rinsing the mouth with clean water, the subjects sat quietly for 3 minutes keeping the saliva in their mouth naturally, and then spat the saliva into a vial (non-irritant saliva) per minute. Saliva was collected for 10 minutes and the SFR was calculated (shown in 4.2.1). If the total amount of saliva over 10 minutes was less than 3 mL, the collection duration was prolonged until 3 mL of saliva had been collected, and the total time was recorded for calculation of the SFR. The collected samples were stored at -20°C until analysis.

Determination of SFR, AMS, LYZ and S-IgA

SFR

The SFR (mL/min) was calculated as the total volume of saliva collected per collecting time (total volume of saliva divided by minutes required).

AMS

After freeze-thawing, the saliva samples were diluted 20 times in saline. The level of AMS was determined by a commercially available AMS kit (Salivary Amylase Kit; HUMAN GmbH Co., Germany; Catalogue No. H100) in accordance with the manufacturer’s protocol.

LYZ

The level of LYZ was examined using LYZ kits (Nanjing Jiancheng Bioengineering Research Institute, China; Catalogue No. 20060922, 20061025, and 20070412) in accordance with the producer’s guidelines, by a 752 Spectrophotometer (Shanghai Jingke Equipment Co., Ltd., China).

S-IgA

S-IgA was determined with S-IgA Kits (Beijing North Institute of Biotechnology, China; Catalogue No. 061120, 061230, 070412, and 070420) by an SN-695B radioimmunoassay measuring instrument (Shanghai Hesuo Rihuan Photoelectric Instrument Co., Ltd., China).

Statistical analysis

The chi-square test was used to analyze the observed indices. A method for maximum likelihood discriminatory analysis was used to establish the diagnostic score table for Shanghuo[20]. The Wilcoxon rank sum correlation test was used to analyze the correlations between the Shanghuo scores and the levels of SFR, LYZ, AMS, or S-IgA. A paired sample t-test was used to study the seasonal and regional differences in S-IgA between the Shanghuo patients and healthy controls. All of the statistical tests were two-tailed. Values of P < 0.05 were considered as statistical significance.

Results

Diagnostic score tables

We calculated the number of Shanghuo cases and healthy cases with the occurrence of each symptom index among the 30 indices on a one-by-one basis with the chi-square test, and excluded the indices with values of P > 0.05.

Healthy negative means that the number of the index did not appear in the healthy control group, while healthy positive means the number of the index did appear in the group. Similarly, Shanghuo negative means that the number of the index did not appear in the Shanghuo group, while Shanghuo positive means the number of the index did appear in the group. Using the chi-square test, we found that (5) Constant hunger, (12) Red eyes, and (17) Sputum showed no significant differences between the healthy control and Shanghuo groups (P = 0.659 for constant hunger, P = 0.150 for red eyes and P = 0.117 for Sputum). However, the remaining 27 indices did differ significantly between the healthy control and Shanghuo groups ( P = 0.004 for Stuffy nose, P = 0.012 for Nosebleed, P = 0.004 for Scurf, P = 0.003 for Reddened tongue, P = 0.002 for Rapid flooding pulse, and P = 0.000 for the other 22 indices). Therefore, these 27 indices were retained (Table 2).
Table 2

The result of chi-square test

Indices

Healthy negative

Healthy positive

Heatiness negative

Heatiness positive

Chi-square value

P

(1)Ulcer

60

0

39

82

74.340

0.000

(2)Oral dryness

50

10

20

101

75.475

0.000

(3)Bitter taste

59

1

84

37

20.214

0.000

(4)Halitosis

60

0

81

40

25.462

0.000

(5)Constant hungering

45

15

87

34

0.195

0.659

(6)Swollen gums with pain or bleeding

55

5

23

98

86.349

0.000

(7)Stuffy nose

55

5

89

32

8.092

0.004

(8)Nasal dryness

58

2

57

64

42.523

0.000

(9)Nosebleed

60

0

109

12

6.373

0.012

(10)Ocular dryness

50

10

46

75

33.071

0.000

(11)Ocular itch

57

3

87

34

13.160

0.000

(12)Red eyes

59

1

113

8

2.076

0.150

(13)Eye gum

59

1

66

55

35.994

0.000

(14)Tinnitus

59

1

101

20

20.984

0.000

(15)Throat dryness

57

3

56

65

40.591

0.000

(16)Sore throat

59

1

83

38

20.984

0.000

(17)Sputum

57

3

106

15

2.450

0.117

(18)Acne

48

12

55

66

19.519

0.000

(19)Vertigo

55

5

90

31

7.522

0.006

(20)Scurf

55

5

89

32

8.092

0.004

(21)Vexing heat

60

0

83

38

23.85

0.000

(22)Low fever

60

0

89

32

19.276

0.000

(23)Insomnia

53

7

57

64

28.596

0.000

(24)Irascibility

59

1

67

54

34.998

0.000

(25)Yellow urine

55

5

72

49

19.821

0.000

(26)Constipation

53

7

61

60

24.739

0.000

(27)Reddened tongue

58

2

97

24

8.879

0.003

(28)Yellow tongue coating

59

1

83

38

20.984

0.000

(29)Thin rapid pulse

55

5

62

59

28.681

0.000

(30)Rapid flooding pulse

60

0

104

17

9.304

0.002

Next, we calculated the exponential value of each index in the healthy control and Shanghuo groups by the conditional probability conversion formula [20]. The formula was:
L ij = lg X j / Y i + 1 × 10 X j / Y i > 0 and L ij = - 10 X j / Y i - 0 ,

where Lij is the exponential value of the index, Xj is the number of Shanghuo or healthy cases with the index, and Yi is the total number of cases collected.

By using the frequency of occurrence of each index, the exponential value of each index in the healthy cases was subtracted and the absolute value was adopted. Similarly, the exponential value of each index in the Shanghuo cases was subtracted and the absolute value was adopted. Subsequently, the two absolute values were summed up to calculate the score of each index. For example, for all 60 cases in the healthy group, (1) Ulcer did not appear. Thus, the negative conditional probability of ulcer was 100% and the positive conditional probability of ulcer was 0%. According to the conditional probability conversion formula, the negative exponential value of ulcer in the healthy group was 10 and the positive exponential value was -10. The negative exponential value of ulcer in the Shanghuo group was 5 and the positive exponential value was 8. Therefore, the final score for ulcer was |10 - (-10)| + |5 - 8| = 23 (Additional file 2).

After simplification of the above table, we obtained a diagnostic score table for Shanghuo (Table 3).
Table 3

Diagnostic score table of heatiness

Indices

Value

Indices

Value

Indices

Value

(1)Ulcer

23

(10)Eye itching

8

(19)Low-grade fever

15

(2)Dry mouth

14

(11)Secretion of the eyes

18

(20)Insomnia

8

(3)Bitterness in the mouth

15

(12)Tinnitus

11

(21)Tantrum

17

(4)Bad breath

17

(13)Pharyngoxerosis

13

(22)Yellow urine

9

(5)Gum swelling and aching or bleeding

17

(14)Sore throat

15

(23)Constipation

8

(6)Nasal obstruction

6

(15)Acne

6

(24)Red tongue

9

(7)Nasal dryness

15

(16)Dizziness

6

(25)Yellow coating

15

(8)Nose bleeding

10

(17)Scurf desquamation

6

(26)Frequent and weak pulse

11

(9)Dryness of the eyes

9

(18)Dryness-heat

17

(27)Frequent and strong pulse

13

Diagnostic threshold values

At the beginning of diagnosis, each index in Table 2 was assumed “negative”, and the exponential values of the 27 “negative” indices of Shanghuo in Table 3 were summed to obtain the exponential value sum for Shanghuo, i.e., 202. The exponential value sum for non-Shanghuo obtained in a similar way was 265, and the relative exponential sum of value for Shanghuo was 63. In other words, greater than 63 of the total score for “positive” indices is the diagnostic threshold value for Shanghuo.

Clinical application

The test for normality of the total cases collected in Guangzhou, Henan, and Hunan provinces in reference to the diagnostic score table showed that the score values for severity of the Shanghuo cases were consistent with a normal distribution (Figure 2). Statistically, if a digital index is consistent with a normal distribution, the percentage grading will be applicable.
Figure 2

The normal distribution test.

According to the method for percentiles (p): P33.3 =120.63 ≈ 120; P66.7 =149.37 ≈ 150, Shanghuo could be classified into three degrees based on the diagnostic scores: common Shanghuo: 63–120; serious Shanghuo: 121–150; very serious Shanghuo: > 150.

Diagnostic tests

Retrospective tests

By virtue of the established diagnostic score table for Shanghuo, we first diagnosed the 361 cases (including all Shanghuo cases in the three regions) in conformity with the Shanghuo diagnostic standards, and calculated that the sensitivity, specificity, accuracy, and positive likelihood ratio were 98.9%, 93.5%, 97.5%, and 14.34%, respectively.

Prospective tests

We diagnosed the 180 cases (including all healthy cases in the three regions) by virtue of the established diagnostic score table for Shanghuo, and found that the sensitivity, specificity, accuracy, and positive likelihood ratio of the test were 94.9%, 85.7%, 91.7%, and 6.64%, respectively.

Assessment of diagnostic efficiency with a ROC curve

We assessed the cases collected from the three geographical regions by the diagnostic score table. Taking the sensitivity as the ordinate axis and the specificity as the abscissa axis, we obtained a receiver operating characteristic (ROC) curve to appraise the diagnostic efficiency by calculating the area under the ROC curve (Figure 3). The size of the integrated area under the curve was closely related to the reliability of a diagnostic trial.
Figure 3

Assessment of diagnostic efficiency with a ROC curve.

Analysis of comparisons between Shanghuo and S-IgA

Comparisons between the Shanghuo group and Shanghuo recovered group for salivary biochemical parameters

The SFR values were 0.430 ± 0.290 mL/min and 0.450 ± 0.230 mL/min before and after Shanghuo recovery, respectively (P = 0.503). The levels of LYZ and AMS did not show any significant differences before and after Shanghuo recovery (P = 0.300 and P = 0.240, respectively). However, the level of S-IGA was significantly elevated from 439.770 ± 60.710 mg/dL with Shanghuo to 1348.570 ± 170.690 mg/dL after recovery (P < 0.001) (Table 4).
Table 4

Self-paired comparison of the parameter changes

Index

Status:

N

Value

T

P

SFR

Heatiness

60

0.430 (0.290)

-0.673

0.503

Recovered

60

0.450 (0.230)

  

LYZ

Heatiness

60

33.420 (5.830)

3.087

0.003**

Recovered

60

34.250 (5.200)

  

AMS

Heatiness

60

112916.000 (83073.000)

2.315

0.024*

Recovered

60

87309.000 (86224.000)

  

S-IgA

Heatiness

60

439.770 (607.100)

-4.530

0.000***

Recovered

60

1348.570 (1706.900)

  

All data were presented as mean (SD). *P < 0.05, **P < 0.01, ***P < 0.001, by paired t test.

Correlations between Shanghuo and the levels of SFR, LYZ, AMS, and S-IgA

The statistical analyses of the Shanghuo scores and the correlations between Shanghuo and the levels of SFR, LYZ, AMS, and S-IgA were performed by the Wilcoxon rank sum correlation test, using the corresponding index of the same patient. The data suggested that there was a significantly negative correlation between the diagnostic score for Shanghuo and S-IgA (R = -0.428; P = 0.000), but no significant correlation between the other indices and the diagnostic score for Shanghuo (Table 5).
Table 5

Correlation of the diagnostic score of Shanghuo with the saliva biochemical parameters

 

N

P

R

Score and SFR

174

0.973

-0.627

Score and LYZ

174

0.592

0.224

Score and AMS

174

0.121

0.365

Score and S-IgA

174

0.000***

-0.428

Data from Guangzhou province, included 121 heatiness cases and 60 healthy cases, excluded 7 cases whose saliva biochemical parameters were not available. ***P < 0.001, by paired t test.

Factors associated with S-IgA acquisition

To examine whether S-IgA had seasonal effects on Shanghuo, we collected and evaluated 361 Shanghuo cases collected from above three regions (121 cases in Guangdong Province, 120 cases in Hunan Province, and 120 cases in Henan Province) for seasonal divisions on the basis of the 24 solar terms in the lunar calendar (Table 6). The results demonstrated that there were significant differences between spring and summer (P = 0.000), spring and autumn (P = 0.000), spring and winter (P = 0.000), summer and winter (P = 0.047), summer and autumn (P = 0.000), and autumn and winter (P = 0.000) (Table 6A). The different levels of S-IgA in different seasons suggested that the seasonal factor might be considered when studying Shanghuo and S-IgA.
Table 6

Seasonal and regional comparison of S-IgA

A: Seasonal comparison of S-IgA

Season

N

Value of S-IgA

Spring

89

647.177 (159.324)*

Summer

92

478.598 (138.558)*

Autumn

84

861.726 (75.147)*

Winter

96

513.573 (86.463)*

B: Regional comparison of S-IgA

Regions

N

Value of S-IgA

Guangdong

121

604.891 (171.961)#

Hunan

120

720.917 (207.122)

Henan

120

697.73 (188.096)

All data were presented as mean (SD). *P< 0.01, vs. any other seasons; #P < 0.01, vs. any other provinces.

Through comparisons among groups of cases from different regions, we found that there were significant differences between Guangzhou and Henan (P = 0.000) and Guangzhou and Hunan (P = 0.000), but no significant difference between Hunan and Henan (P = 0.116) (Table 6B). These data suggested that the levels of S-IgA might be affected by region.

Evaluation of Shanghuo by combination of the diagnostic score tables and S-IgA levels

Finally, we investigated the consistency of Shanghuo cases collected from Guangzhou, Henan, and Hunan provinces before and after the experiment, using the S-IgA level and diagnostic score table from Guangzhou. After the clinical diagnosis was executed by three clinicians individually, the D values were compared with the diagnostic score table, and the S-IgA levels without a quantitative threshold value were compared with the trend. The results showed that for diagnosis with the D value independently, the consistency with the clinical diagnosis of Shanghuo was 89.6%. When evaluating S-IgA independently, the consistency with the clinical diagnosis of Shanghuo was 48.2%. For combined evaluation with D value and S-IgA, the consistency with the clinical diagnosis of Shanghuo was 92.2%. These data indicated that evaluation by combining D value and S-IgA increased the diagnostic efficiency for Shanghuo.

Discussion

As one essential element in TCM, huo provides energy and power to human body. Shanghuo is a state that huo becomes hyperactive and aggressive. The oral ailments associated with Shanghuo syndrome include oral dryness, mucosal ulcer, and gum bleeding, swelling, and pain. These symptoms are similar to those of Sjogren syndrome, recurrent aphthae, gingivitis, periodontitis, and caries [21].

The production of saliva is affected by many factors, such as temperature, food, mood, and different times of the day [4]. To make saliva samples more repeatable, we developed a self-controlled experiment and collected saliva in the same time windows, i.e., 9:00–11:00 a.m. and 2:00–4:00 p.m.

In this study, we found that the level of S-IgA was significantly decreased in the Shanghuo group compared with the healthy control group, suggesting that S-IgA might represent a diagnosic marker for Shanghuo. Further analyses indicated that the level of S-IgA was negatively correlated with the severity of Shanghuo. The levels of S-IgA in Shanghuo patients varied among different seasons and regions, suggesting that the influences of seasons and regions should be considered when S-IgA was used as a marker for Shanghuo.

According to our clinical observations, many Shanghuo patients had xerostomia, albeit to different extents. As the first study on the correlation between xerostomia, SFR, and Shanghuo, we investigated whether the SFR in patients was associated with Shanghuo. However, our data did not show any direct evidence for this hypothesis. Further studies need to be undertaken to address this issue.

Quantitative diagnosis is an interdisciplinary subject and is the probability theory of statistics for the treatment effects evaluation and prognostic diagnosis [22]. Shanghuo involves many viscera, with different manifestations in different viscera, and there have been no clear definitions for the essence and diagnostic standards of Shanghuo. Here we established a diagnostic scoring scheme with the methods of probability theory and maximum likelihood discriminatory analysis on the basis of epidemiology.

From the diagnostic score table and S-IgA before and after Shanghuo and the consistency with the clinical diagnosis, we found that the combination of the diagnostic score table and S-IgA could increase the diagnostic efficiency. The diagnostic score table is intuitive and capable of direct diagnosis, albeit through 27 diagnostic indices of TCM, if tongue coating and pulse are diagnosed by modern machines [23]. We established the diagnostic score table by statistical methods and made an attempt for the diagnosis of Shanghuo quantitative research. In addition, we used modern machines for tongue coating and pulse, applied the diagnostic score table, and found that the scores for patients with Shanghuo could be calculated to indicate the severity of the Shanghuo, and that these scores could be used to evaluate the effectiveness of curative treatments.

In this study, we found that the levels of LYZ, AMS, and SFR had no significant correlations with Shanghuo, while S-IgA was associated with Shanghuo even the S-lgA level might be varied by different regions and seasons. We believe that quantification using the diagnostic score table and the level of S-IgA will improve the diagnostic accuracy and efficiency of Shanghuo.

Still, some limitations of this work should be considered. First, participants were not randomly selected and were limited to the three particular geographic regions in China. And the study was generally characterized by small sample sizes and may not be representative of the population. Secondly, the collection of data was objective because of lacking gold standard for Shanghuo, even though the recruited candidates simultaneously diagnosed by three independent doctors. These design and sampling strategies may reduce the external validity of our study. Also, because of the situation of pulse was included in the diagnostic score table, when this diagnostic scoring scheme was applied in clinic, the theory of pulse in TCM should be known. These limitations need to be considered when our findings are interpreted.

Conclusions

This study demonstrated that Shanghuo could be diagnosed by a combination of diagnostic score tables and S-lgA levels.

Abbreviations

LYZ: 

Salivary lysozyme

S-IgA: 

Salivary secreted immunoglobulin

AMS: 

Salivary amylase

SFR: 

Saliva flow rate

TCM: 

Traditional Chinese Medicine.

Declarations

Acknowledgements

This study was supported jointly by a grant from the National Natural Science Foundation of China (No. 81273817) and the program of Guangdong Province administration of traditional Chinese medicine (No. 20121225).The authors are also grateful to Colgate-Palmolive (China) Company Ltd. for funding this study.

Authors’ Affiliations

(1)
Guangzhou University of Traditional Chinese Medicine
(2)
Colgate-Palmolive (China) Co. Ltd.
(3)
Massachusetts General Hospital, Harvard Medical School

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© Liu et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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